UvA-DARE (Digital Academic Repository) Malaria in ... · ia (CCMm), formerly known as home based...
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Malaria in pregnancyIn search of tools for improved preventionRuizendaal, E.
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Citation for published version (APA):Ruizendaal, E. (2017). Malaria in pregnancy: In search of tools for improved prevention.
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Download date: 24 Mar 2020
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Chapter 2.Success or failure of critical steps in community case management of malaria with rapid diagnostic tests: a systematic review
Esmée Ruizendaal, Susan Dierickx, Koen Grietens Peeters, Henk D F H Schallig, Franco Pagnoni, Petra F Mens
Malaria Journal 2014, 13:229
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AbstractBackground
Malaria still causes high morbidity and mortality around the world, mainly in sub-Saharan Africa (SSA). Community case management of malaria (CCMm) by community health workers (CHWs) is one of the strategies to combat the disease by increasing access to malaria treatment. Currently the World Health Organiza-tion (WHO) recommends to treat only confirmed malaria cases, rather than to give presumptive treatment.
Objectives
This systematic review aims to provide a comprehensive overview of the success or failure of critical steps in CCMm with rapid diagnostic tests (RDTs).
Methods
The databases of Medline, Embase, the Cochrane Library, the library of the ‘Ma-laria in Pregnancy’ consortium, and Web of Science were used to find studies on CCMm with RDTs in SSA. Studies were selected according to inclusion and exclu-sion criteria, subsequently risk of bias was assessed and data extracted.
Results
27 articles were included. CHWs were able to correctly perform RDTs, although specificity levels were variable. CHWs showed high adherence to test results, but in some studies a substantial group of RDT negatives received treatment. High risk of bias was found for morbidity and mortality studies, therefore, effects on morbidity and mortality could not be estimated. Uptake and acceptance by the community was high, however negative-tested patients did not always follow up referral advice. Drug or RDT stock-outs and limited information on CHW moti-vation are bottlenecks for sustainable implementation. RDT-based CCMm was found to be cost effective for the correct treatment of malaria in areas with low to medium malaria prevalence, but study designs were not optimal.
Discussion
Trained CHWs can deliver high quality care for malaria using RDTs. However, lower RDT specificity could lead to missed diagnoses of non-malarial causes of fever. Other threats for CCMm are non-adherence to negative test results and low referral completion. Integrated CCM may solve some of these issues. Unfortunately, mor-bidity and mortality are not adequately investigated. More information is needed about influencing sociocultural aspects, CHW motivation and stock supply.
Conclusion
CCMm is generally well executed by CHWs, but there are several barriers for its success. Integrated CCM may overcome some of these barriers.
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BackgroundMalaria affects over 300 million people every year, with around 90% of infections occurring in sub-Saharan Africa (SSA).1,2 Community case management of malar-ia (CCMm), formerly known as home based management of malaria, is a strategy recommended by the World Health Organization (WHO) which aims at reducing the malaria burden by improving early access to malaria directed healthcare.3 It is based on treatment of malaria cases, mainly children, by community health workers (CHWs), within the community. Different cadres exist for CHWs, but all these individuals have in common that they are part of the community, they are not professional healthcare workers but receive a short training and often work on a voluntary basis or for small compensation (although in some countries they are included in the salaried healthcare system). While fever cases were previously treated presumptively with anti-malarials, CCMm programmes are now expected to follow the WHO recommendation to treat only malaria patients with confirmed diagnosis, usually with rapid diagnostic tests (RDTs).4 It is expected that this will reduce unnecessary malaria treatment and increase correct diagnosis in patients suffering from other febrile illnesses. Three published reviews describe RDT use in CCMm, however, the issues discussed in these reviews are limited5,6 and not all of the important literature was included,6 or CHWs were not distinguished from professional healthcare providers.7 Systematically obtained information on the success or failure of critical steps in RDT-based CCMm is lacking, but is needed in order to show its value in malaria control programmes. Furthermore, the WHO currently advises to proceed to integrated community case management (iCCM),8 which focuses on the diagnosis and treatment of multiple diseases such as malar-ia, pneumonia and diarrhoea, and lessons from CCMm should be used during this transition. This systematic review aims to provide a comprehensive overview of the success or failure of critical steps in CCMm with rapid diagnostic tests (RDTs).
MethodsSearch methodology
A systematic search was performed in the databases of Medline, Embase, the Cochrane Library and the library of the ‘Malaria in Pregnancy’ consortium (MIP consortium). Web of Science was used to search for missed relevant studies in references and citing articles. The databases were last searched on October 12, 2013. Synonyms for ‘malaria’, ‘RDT’ and ‘CHW’ were combined to find all relevant studies. For the complete search syntax see Additional file 1.
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Selection of studies
After removal of duplicates, title and abstract of articles were screened for in- and exclusion criteria by two independent readers (ER and PFM). A second screening was performed on full text articles. Discrepant results were resolved by discus-sion until a unanimous decision was reached. Criteria for inclusion were: original studies on RDT-based CCMm performed by CHWs defined as non-professional healthcare workers working within a community, studies on Plasmodium falci-parum malaria, studies on one of the following critical steps: test performance by CHWs, execution of test, test interpretation, adherence to test results by CHWs, ef-fect on morbidity and mortality, adherence to test results by patients, referral com-pletion, social acceptance, community uptake, stock-outs, CHW incentives and motivation and cost-effectiveness. Exclusion criteria were: studies on integrated CMM in which the individual effect of RDT-based CCMm on the outcome cannot be identified and studies outside SSA. The focus on SSA was chosen because of the specific malaria epidemiology with a high burden of P. falciparum malaria and high morbidity and mortality rates.9 Authors of relevant conference abstracts were contacted for more detailed results and information on methodology; in case of no additional information, no response, or if full study details did not meet in- or exclusion criteria, these abstracts were excluded.
Data extraction
Data were extracted from included studies by two independent readers (ER and PFM) and additionally for social-behavioural themes by SD and KGP. Critical ap-praisal was done in Review Manager for intervention and diagnostic studies.10 Evers checklist was used for studies on cost-effectiveness according to Cochrane advice.11 For all other studies, criteria are not well defined in literature, so criteria were defined per outcome. No studies were discarded based on qualitative as-sessment. If possible, separate data for CCMm from studies on integrated CCM (iCCM) were extracted.
Analysis
A forest plot was created of the RDT test characteristics by the use of Review Man-ager. No meta-analysis was performed due to heterogeneity of study character-istics and specificity outcomes. The same heterogeneity accounts for adherence to test results. For the analysis of social-behavioural themes, NVivo Software for qualitative data analysis (QSR International Pty Ltd Cardigan, UK) was used.
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ResultsSearch results
In total, 295 articles were found, of which 293 were by database searching and two via other sources. The latter articles were found after e-mail contact with authors of two abstracts.12,13 Both referred to an article that could not be found in any of the databases.14,15 After removal of duplications and after the screening steps on inclusion and exclusion criteria 27 articles remained for data extraction (Figure 1). Exact reasons for exclusion of full text articles can be found in Additional file 2. One article16 provided the same outcome information as another17 (based on the same study) and is, therefore, not separately discussed.
In Additional file 3, an overview of the included studies is presented and for each of the critical steps the number of articles and relevant articles are indicated. Most of the articles were published between 2008 and 2013.
Figure 1. Flow chart of search strategy
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Risk of bias summary
Risk of bias was assessed for each study for every outcome (Figures 2 - 9). Nearly all studies on RDT performance showed low risks of bias. The same accounted for RDT execution, although Counihan et al.18 sometimes used non-febrile volun-teers instead of patients for RDT observations and Harvey et al.19 showed baseline differences in the groups of CHWs. Adherence to test results showed little bias, although it was often unclear how studies collected data. One study on adherence showed a possible patient selection bias because a large group of malaria-sus-pected patients was not tested at all.20 More variable quality was found in studies on interpretation, healthcare-seeking behaviour, stock-outs and cost-effective-ness. In all three cost-effectiveness studies, debatable assumptions were made: sensitivity and specificity used for calculations were derived from studies on pro-fessional healthcare workers instead of CHWs.21–23 Furthermore, in two cost-ef-fectiveness analyses adherence to test results was assumed to be 100%.21,22 High
Figure 2. Risk of bias summary for test performance
Risk of biasApplicability
concerns
Test performance Patie
nt s
elec
tion
Inde
x te
st
Ref
eren
ce s
tand
ard
Flow
and
tim
ing
Patie
nt s
elec
tion
Inde
x te
st
Ref
eren
ce s
tand
ard
Chinkhumba 2010 + + + + + + +
Ishengoma 2011 + + + + + + +
Lemma 2011 + + + + + + +
Mubi 2011 + + − + + + +
Premji 1994 + + + + ? + +
Ratsimbasoa 2012 + + ? ? + + +
Tiono 2013 + + + + + + +
+ low risk of bias, ? unclear, - high risk of bias
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risk of bias was seen for all studies concerning morbidity and mortality; none met the preferred intervention design of a double-blind, randomized, controlled trial (RCT). At the same time, blinding patients and CHWs is impossible for this type of intervention. It is therefore unfortunate that the one study that described a non-blinded cluster RCT used a subjective outcome measure (patients’ reporting of clinical recovery), potentially introducing bias.24 The other studies were either not randomized,25 or were single-armed, pre- and post-intervention studies.26,27 It should be noted that studies that showed high risk of bias for a certain outcome did not necessarily show high risk of bias for their main objective.
Figure 3. Risk of bias summary for direct interpretation of RDT
Interpretation RDT Sele
ctio
n pa
tient
s / t
ests
Sele
ctio
n CH
Ws
Inde
x te
st
Ref
eren
ce s
tand
ard
Tim
e bi
as
Mis
sing
dat
a
n observations
Counihan 2012 ? + + ? + + 63, 61 and 59 CHWs reading 1 RDT
Mukanga 2011 + + + ? + + 182 RDTs
Harvey 2008 ? − + ? + + 32, 21 and 26 RDTs (1 per CHW)
Hawkes 2009 ? + + ? + + 10 CHWs, number of RDT observations unclear
Mubi 2011 + + + − − + 722 RDT positives
+ low risk of bias, ? unclear, - high risk of bias
Figure 4. Risk of bias summary for interpretation of photographs
Interpretation photographs Se
lect
ion
patie
nts
Sele
ctio
n CH
Ws
Inde
x te
st
Ref
eren
ce s
tand
ard
Tim
e bi
as
Mis
sing
dat
a
n observations
Counihan 2012 − + + + + + 630, 610 and 590 test results
Harvey 2008 − − + + + + 320, 210 and 260 test results
+ low risk of bias, ? unclear, - high risk of bias
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Figure 5 Risk of bias summary for RDT execution
Execution Out
com
e as
sess
men
t
Sele
ctio
n pa
tient
s
Sele
ctio
n CH
Ws
Mis
sing
dat
a
Oth
er b
ias
n observations
Counihan 2012 + − + + + 63, 61 and 59 CHWs conducting 1 RDT
Mukanga 2011 + + + + + 182 RDTs
Harvey 2008 + ? − + + 32, 21 and 26 RDTs (1 per CHW)
Hawkes 2009 + ? + + + 10 CHWs, number of RDT observations unclear
Ndiaye 2013 + + ? + + 30 CHWs, number of RDTs unclear
+ low risk of bias, ? unclear, - high risk of bias
Figure 6 Risk of summary for adherence
Adherence Out
com
e as
sess
men
t
Sele
ctio
n pa
tient
s
Sele
ctio
n CH
Ws
Mis
sing
dat
a
Oth
er b
ias
n observations
Chanda 2011 (2x) ? + ? + + 9847
Chinkhumba 2010 ? + + + ? 1317
Elmardi 2009 ? ? − ? + 30 CHWs
Hamer 2013 + + + + + 975
Ishengoma 2011 ? + ? + + 18213
Mubi 2011 ? + + + + 1457
Mukanga 2011 + + + ? + 182
Mukanga 2012 + + + + + 525 (BF), 591 (Gh), 975 (Ug)
Ndiaye 2013 + ? + + + 14554
+ low risk of bias, ? unclear, - high risk of bias
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Figure 7 Risk of bias summary for intervention studies on morbidity and mortality
Morbidity/ mortality R
ando
m s
eque
nce
gene
ratio
n
Allo
catio
n co
ncea
lmen
t
Blin
ding
of p
artic
ipan
ts a
nd p
erso
nnel
Blin
ding
of o
utco
me
asse
ssm
ent
Inco
mpl
ete
outc
ome
data
Sele
ctiv
e re
port
ing
Oth
er b
ias
Elmardi 2009 − − − − ? + −
Mubi 2011 + + − − + + ?
Rutta 2012 − − − − ? + +
Thiam 2012 − − − ? ? ? ?
+ low risk of bias, ? unclear, - high risk of bias
Figure 8 Risk of bias summary for cost-effectiveness studies
Cost-effectiveness Out
line
of s
tudy
set
up
Des
ign
Incl
uded
cos
ts
Incl
uded
out
com
es
ICER
Dis
coun
ting
Sens
itivi
ty a
naly
sis
Chanda 2011 + + + − + + −
Hawkes 2009 + + − − + ? −
Lemma 2011 + ? + − + ? +
+ low risk of bias, ? unclear, - high risk of bias
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Figure 9 Risk of bias summary for healthcare-seeking behaviour
Health-care seeking behaviour O
utco
me
asse
ssm
ent
Sele
ctio
n pa
tient
s
Sele
ctio
n CH
Ws
Mis
sing
dat
a
Oth
er b
ias
n observations
Elmardi 2009 − + − ? + 48 households pre-, 17 post-study.
Lemma 2010 + + + ? + 16 RDT CHWs (5123 visits), 17 no RDT CHWs (10457 visits)
Tayler-Smith 2011 ? + ? ? + number of CHWs unclear, 13268 (2004) - 90294 (2005) patients
+ low risk of bias, ? unclear, - high risk of bias
RDT performance when used by CHWs
Sensitivity and specificity of RDTs when performed by CHWs was assessed in seven studies (Figure 10 and Table 1). Studies differed in participants, malaria transmission and RDT type used. Sensitivities ranged between 83.2 and 97.9% if RDTs were compared with microscopy as reference standard. Ishengoma et al. found that the sensitivity was significantly higher for cases <five years of age and for fever cases.28 Sensitivity decreased with decreasing malaria transmission over the years in this study,28 but this was not confirmed in Tiono et al.14 Ratsimbasoa et al. additionally calculated RDT sensitivity with PCR as reference standard (RS) and found a sensitivity of 61.8%.29
The specificity of RDTs in the hands of CHWs was found to be more variable than the sensitivity, ranging from 39% in the study of Chinkhumba et al.30 to 95.1% in the study of Lemma et al.22. In Chinkhumba et al. patients who self-treated with anti-malarials (2-8% in previous two weeks) were not excluded and this was as-sociated with a lower specificity.30 Mubi et al. also showed low specificity, but it was mentioned that the microscopy slides were of poor quality, possibly impair-ing the detection of parasites in actual true positive samples.24 Slide quality was not mentioned in Tiono et al., who found a low specificity, especially in the high transmission season (25.4%).14 The conditions for RDT storage were appropriate and the authors mainly related the results to persistent circulating antigens.14 In Ishengoma et al. a higher specificity for children <five years of age was shown compared with older patients.28
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Figure 10 Forest plot of RDT performance when performed by CHWs (no subgroup analyses)
Lemma 2011a = Paracheck Pf, Lemma 2011b = Parascreen pan/pf
Table 1 RDT test performance by CHWs
StudyTarget population RDT type
Reference standard (RS)
RS positive* (%)
Sensitivity (%)
Specificity (%)
Ratsimba-soa 201229
>2 months (history of) fever
CareStart PCR 56.7% 61.8% 95%
Ratsimba-soa 201229
>2 months (history of) fever
CareStart Microscopy of thin and thick BS
37.2% 95.9% 87%
Chinkhum-ba 201030
>5 years (history of) fever
Bioline SD, First Response malaria, Paracheck PF
Microscopy of thick BS (expert)
38.5% 95% 43%
Chinkhum-ba 201030**
>5 years (history of) fever
Bioline SD Microscopy of thick BS (expert).
41% 97% 39%
Chinkhum-ba 201030**
>5 years (history of) fever
First response malaria
Microscopy of thick BS (expert).
40% 92% 42%
Ishengoma
201128
All ages, care seeking
Paracheck Pf, ParaHIT
Microscopy of thick and thin BS.
20.8% 88.6% 88.2%
Ishengoma
201128
< 5 years Paracheck Pf, ParaHIT
Microscopy of thick and thin BS
19.7% 90.1% 93.6%
Ishengoma
201128
≥5 years Paracheck Pf, ParaHIT
Microscopy of thick and thin BS
21% 88.3% 86.5%
Ishengoma
201128
No fever patients
Paracheck Pf, ParaHIT
Microscopy of thick and thin BS
14.5% 84.7% 90.1%
Ishengoma
201128
Fever patients
Paracheck Pf, ParaHIT
Microscopy of thick and thin BS
33.9% 92.2% 82.9%
Lemma
201122**
>3 months suspected of malaria
Paracheck Pf
Microscopy of thick BS.
18.7% 88.7% 94.2%
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StudyTarget population RDT type
Reference standard (RS)
RS positive* (%)
Sensitivity (%)
Specificity (%)
Lemma
201122**
>3 months suspected of malaria
Parascreen Microscopy of thick BS.
18.7% 83.2% 95.1%
Mubi
201124
>3 months (history of) fever.
Paracheck Pf
Microscopy of thick BS.
22.6% 85.3% 59.8%
Premji
199431
Children <42 months
Parasight
TM-F test
Microscopy of thin and thick BS.
66.6% 84% 81%
Tiono
201314
Children 6-59 months with (history of) fever.
FirstSign Malaria Pf
Microscopy of thin and thick BS.
54.8% 97.9% 53.4%
Tiono
201314
Children 6-59 months with (history of) fever. (High transmis-sion)
FirstSign Malaria Pf
Microscopy of thin and thick BS.
76.1% 98% 25.4%
Tiono
201314
Children 6-59 months with (history of) fever. (Low transmis-sion)
FirstSign Malaria Pf
Microscopy of thin and thick BS.
31.8% 97.6% 63.7%
*P. falciparum, ** Two types of RDTs separately tested
RDT interpretation
RDT interpretation was assessed by either direct assessment of RDTs (five stud-ies) or by photographic assessment (two studies) (see Table 2). Correct interpre-tation was high for the direct assessment of RDTs; 96 to 100% of tests and 95.1 to 100% of CHWs, provided that CHWs were trained properly.18,19,21,32 In photographic assessments, which have the inherent risk of selection bias as the number of am-biguous tests is relatively high, well-trained CHWs also scored high numbers of correctly interpreted tests, although more mistakes were made in reading faint positive and invalid tests.18,19 The importance of training was shown for direct inter-pretation of RDTs as well as for photographic assessment in Harvey et al.19 In both
Table 1 RDT test performance by CHWs (continued)
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assessments correct interpretation was lowest for CHWs who used only manu-facturer’s instructions, better for CHWs who used a job aid and the best for CHWs who used a job aid and received three hours’ training. Unfortunately, a risk of se-lection bias was present because CHWs were not randomly selected and com-pletion of secondary education was 6, 19 and 35%, respectively. Some indications were also found for the beneficial effect of repetitive execution of RDTs. In Harvey et al. improvement was seen with each successive RDT, although these data were not presented.19 Improvement over time was also presented by Counihan et al.; the percentage of CHWs correctly interpreting RDT results from patients or volunteers at three, six and 12 months after training was 95.1, 98.3 and 98.3%, respectively.18 In contrast, this was not the case with the ten-item photographic assessment in which four CHWs consistently showed poor interpretation.
Execution of RDTs
Execution of RDTs was investigated in five studies that used non-uniform out-come variables (see Table 2). The way CHWs executed RDTs was judged on sever-al items, but differences in number and definition of items further impaired com-parison.18,19,21,32 Nevertheless CHWs were found to correctly conduct RDTs if prop-erly trained; 90 to 100% of steps were successfully executed in two studies that used the same WHO checklist, Hawkes et al.21 and Harvey et al.19 In contrast, un-trained CHWs that used only manufacturer’s instructions or a job aid were found to respectively conduct only 57 and 80% of steps correctly in Harvey et al.19 The assessment of each individual executed step in this study showed that problems were found in dispensing buffer drops, waiting correct amount of time, pricking side of finger, blood collection and recording result in register. Counihan et al., who assessed only the execution of eight RDT steps (see Additional file 4) that were considered critical for diagnosis or safety, showed improvement over time: 40.3, 61.7 and 79.7% of CHWs correctly performed critical steps at three, six and 12 months, respectively.18 Problematic steps were writing patient’s name on cassette, recording results in register, usage of the blood collection loop, reading the test result in the right time and disposing non-sharps in non-sharps container.18–20 Why these steps were problematic was not studied. No specific studies were done that looked at safety issues while performing RDTs but some included particular find-ings. Ndiaye et al. observed that 0% of CHWs used gloves, but this was partly due to stock problems.20 In contrast, high levels of glove use were reported in Couni-han et al.18 (100% of CHWs after 12 months) and Harvey et al.19 (96% in the group of trained CHWs). In Counihan et al. an observer had to intervene once because a CHW was about to re-use a lancet on a new patient.18
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Table 2 Interpretation and execution of RDTs by CHWs
Study CHW training Outcome interpretation Outcome execution
Counihan 201218
Half-day training. At 3 months CHWs received a poster-sized job aid and a photographic guide on RDT interpretation.
(I).RDT test results correctly read by 95.1, 98.3 and 98.3% of the CHWs at 3, 6 and 12 months after training respectively.
(II) Correct interpretation of positive RDT results was 96.5% at 3 months, 98.3% at 6 months and 90.5% at 12 months.
(II) Correct interpretation of negative RDT results was 94.3% at 3 months, 97.9% at 6 months and 94.7% at 12 months.
(II) Faint positive lines were correctly interpreted by 89.7% at 3 months, 96.7% at 6 months and declined to 76.7% at 12 months.
19-item checklist, interpretation included, 8 items were considered critical.
Median correctly performed critical steps were 87.5%, 100% and 100% at 3, 6 and 12 months respectively.
40.3, 61.7 and 79.7% of CHWs correctly performed critical RDT steps at 3, 6 and 12 months respectively.
Mukanga 201132
8-day training by experienced trainers. Job aid provided.
100% of the RDTs were correctly interpreted shortly after training (<2 weeks).
96.3% of RDTs were correctly performed shortly after training (<2 weeks) in a 14-item checklist, interpretation excluded.
Harvey 200819
Group 1: only use of manufacturers’ instructions. Group 2: only use of job aid. Group 3: 3-hour training on RDTs + job aid.
(I) 72, 86 and 96% of CHWs correctly interpreted RDT results for group 1, 2 and 3 respectively.
(II) 54, 82 and 93% of tests were correctly inter-preted for group 1, 2 and 3 respectively.
57% of steps, 80% of steps and 90% of steps were correctly performed by group 1, 2 and 3 respectively at the same day of receiving instructions, job aid or training in a 16-item checklist, interpretation included.
Hawkes 200921
One day training. Pictorial job aid was provided.
100% of CHWs correctly interpreted the RDT directly after training.
Median score on a WHO 16-item assessment of RDT performance was 100% (range of 94-100%) directly after training.
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Study CHW training Outcome interpretation Outcome execution
Ndiaye 201320
CHWs: one month theoretical training, one month practical training at health post. CMDs: 3-day theoretical training, 15 days practical training at health post.
- % CHWs and CMDs correctly performing the step, observed over two years.
(1) Surface clean and flat - 87%
(2) Test opened just before use - 100%
(3) Document patient name and date - 83%
(4) Use of gloves - 0%
(5) 5 μL finger prick blood specimen - 93%
(6) 4 drops of solution buffer in right well - 93%
(7) test rest on level surface - 97%
(8) waited maximum 15 minutes - 93%
Mubi 201124 One week training. 99.7% of positive tests were correctly interpreted throughout the 5-month study period.
-
(I) Based on assessment of RDTs. (II) Based on photographic assessment.
Adherence to test results and referral guidelines by CHWs
In general almost all patients (>90.0%) with positive RDTs were provided with an-ti-malarial drugs by CHWs (Table 3). The percentage of patients with negative RDTs who, contradictory to the guidelines, still received anti-malarial treatment was more variable, ranging from 0.2 to 58%. Six studies showed levels <10%, in-cluding all iCCM studies, while two studies showed outliers of 20.3%20 and 58%30 of negative-tested patients that were treated. One other study presented the per-centage of CHWs adhering to test results and showed that 30% of them treated negative-tested patients based on clinical judgment rather than RDT result; this was not related to previous experience in malaria management or educational background.27 Ndiaye et al. showed that the adherence was related to the type of care providers in their study.20 Community medicine distributors (CMDs) were only trained on RDT-based malaria management, while CHWs were attributed more health intervention tasks. CHWs gave artemisinin-combination therapy (ACT) to 24.8% of RDT negatives, while CMDs gave ACT to 10.4% of RDT negatives. Besides treating a high number of negative patients, CHWs also treated 22.3% of patients
Table 2 Interpretation and execution of RDTs by CHWs (continued)
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with ACT who were not tested at all, while for CMDs this was only 0.8%. Further-more, CHWs and CMDs did not comply with the referral policy; referral rates from patient groups that should have been referred ranged from 18.2 to 47.1% with the lowest referral rates found for babies <two months of age and patients with severe symptoms. The only other study reporting on referral by CHWs showed better re-sults, in the first year, 79.5% of RDT negatives were referred according to protocol and in the second year this had increased to 97.4%.25 No explanations were given in the studies on reasons for non-adherence regarding treatment of negatives and referral.
Table 3 Adherence to test results by CHWs
StudyTarget population Treatment Alternative
Adherence overall*
Positives treated
Negatives treated
CCMm studies
Chanda
201123,33
All ages, care seeking.
AL, SP <5 kg
Complicated malaria and non-malaria febrile cases were referred to HF.
99.9% 99.3% 0.2%
Chinkhumba 201030
>5 years, (history of) fever
NS Referral not mentioned.
86.9% 98% 58%
Elmardi
200927
NS AS/SP Complicated malaria and non-malaria febrile cases were referred to HF.
70%** NS NS
Ishengoma 201128
≥5 years with (histo-ry of) fever
AL Referral not specified.
95.8% 98.9% 5.4%
Mubi
201124
>3 months, (history of) fever. Exclu-sion: severe disease
AL Referral not specified.
96.8% 99.7% 6.1%
Ndiaye 201320***
Patients of all ages, care seeking.
NS CHW: referral of patients <2 months, RDT negatives, severe symptoms, suspected drug ad-verse events. CMD: referral of all cases excluding uncompli-cated malaria cases.
88.6% 92.0% 20.3%
Ndiaye 201320***
Patients of all ages, care seeking.
NS CHW: Referral of patients <2 months, RDT negatives, severe symptoms, suspected drug adverse events.
85.6% 90.1% 24.8%
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StudyTarget population Treatment Alternative
Adherence overall*
Positives treated
Negatives treated
Ndiaye 201320***
Patients of all ages, care seeking.
NS CMD: Referral of all cases excluding uncomplicated malaria cases.
93.9% 95.3% 10.4%
iCCM studies
Hamer 201217 & Yeboah-Antwi 201016
Children 6 months-5 years, fever.
AL Children with danger signs were referred to HF.
99.3% 98.5% 0.4%
Mukanga
201132
Children <5 (history of) fever no danger signs.
AL CHWs also diagnosed and treated pneumonia. No referral mentioned.
97.8% 98.6% 4.8%
Mukanga 201234****
BF: 6-59 months, (history of) fever
AL Referral for severe disease and for non-responders at day 3 after CHW visit.
99.0% 100% 4.8%
Mukanga 201234****
Gh: 6-59 months, (history of) fever
AA Referral for severe disease and for non-responders at day 3 after CHW visit.
99.5% 100% 3.3%
Mukanga 201234****
Ug: 4-59 months (history of) fever.
AL Referral for severe disease and for non-responders at day 3 after CHW visit.
99.0% 99.9% 7.6%
*=correct treatment, **=percentage of CHWs that relied on RDT results, ***=adherence percentages calculated from study data, ****=CHWs attended review meetings with study team each month discussing non-adherence to diagnostic and treatment algorithm with CHWs, HF=health facility, NS= not specified, AL= artemether – lumefantrine, SP= sulphadoxine-pyrimethamine, AS= artesunate, ACT= artemisinin-based combination therapy (not further specified), BF= Burkina Faso, Gh = Ghana, Ug = Uganda.
Morbidity and mortality
Four trials assessed outcomes related to morbidity, mortality or both (Table 4), but all showed low quality evidence (Figure 7) impairing firm conclusions. One study reported lower slide positivity rates during the RDT-based CCMm interven-tion period in comparison with presumptive CCMm in the pre-intervention period. However, besides changing to RDT-based diagnosis, the type of anti-malarial drug used changed from sulphadoxine-pyrimethamine to an ACT in this study.26 Two other studies showed beneficial effects of RDT-based CCMm but only compared it to areas with no CCMm.25,27 In contrast, the perception of patients on morbidi-ty did not improve with RDT-based CMMm. In a randomized, cross-over trial on RDT-based CCMm versus presumptive CCMm, a significant increased perception
Table 3 Adherence to test results by CHWs (continued)
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of disease recovery was found in the presumptively treated patients at day 7 com-pared with the intervention arm (97.3 versus 93.3%, p = 0.000). More patients were treated with anti-malarials in the control group; however, in both the intervention and control group the perceived unrecovered patients harboured only few malaria positives (repeated testing at day 7), thus suggesting a possible bias in the subjec-tive study outcome.24
Table 4 Morbidity and mortality outcomes of RDT based CCMm strategies
Study Design Intervention Control Outcome
Mubi 201124
RCT RDT-based CCMm
Presumptive CCMm Increased perception of recovery in control group (97.3%) versus interven-tion group (93.3%) at day 7. P = 0.000
Two malaria related deaths, one in each arm.
Thiam 201225
NRCT RDT-based CCMm
No CCMm Malaria related hospitalizations decreased by 43.1% in intervention areas and 40.9% in control areas. Malaria attributed deaths decreased by 62.5% in intervention areas (significant decrease) and 23.4% in control areas (no significant decrease).
Rutta 201226
Pre-post study
RDT-based CCMm (with AL)
Comparison with pre-intervention period (presumptive CCMm with SP)
A drop of >72.0% in malaria slide positivity rate to a persistent low level of <10% was observed in the study period.
Elmardi 200927
Pre-post study
RDT-based CCMm (with AS/SP).
Comparison with pre-intervention period (no CCMm, health centres treated with AS/SP)
24% fever cases in last two weeks pre-intervention and 8.5% fever cases post intervention (p=0.000).
61 deaths (all <5 years) in the last sea-son pre-implementation of intervention versus 1 death (>5 years) in the season post-implementation (p=0.000).
Community acceptance
Studies by Mukanga et al.35 in Uganda and Nsagha et al.36 in Cameroon assessed the opinion of community members before introducing an RDT-based CCMm in-tervention. In Mukanga et al. presumptive CCMm was already implemented and a positive attitude towards the CHWs was present, due to their voluntary services, accessibility and the effectiveness of provided drugs.35 The change to CHWs us-ing RDTs was therefore well received. In Nsagha et al. all participants would wel-come RDTs, but in this urban setting, where other healthcare providers are avail-able, CHWs were not always considered to be the appropriate persons to carry out RDTs.36 Participants in both studies stressed that proper training of CHWs on RDT use was considered essential.
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A few years later Mukanga et al. asked community members in Uganda for their opinion after introduction of RDT-based CCMm; 79.4% thought CHWs’ service was better after introduction of RDTs and 88.7% thought CHWs should continue to use RDTs.37 Support for a high acceptance was also found in Senegal, where commu-nity members mainly praised the increased access to malaria care.38 Furthermore, in several studies participants welcomed RDTs since it made correct diagnosis possible at the village level, which saved money on transport.36,38
Acceptability of diagnosis and treatment by CHWs was related to the outcome of the RDT. Only 5% of CHWs had problems persuading RDT-positive patients of a malaria diagnosis in Sudan.27 This is supported by Mubi et al., in which 97.4% of patients complied to prescribed treatment after a positive RDT.24 However, per-suading patients that they did not have malaria was problematic for 20% of CHWs in case of negative test results,27 an issue that was already predicted by Mukanga et al.35
Adherence to referral advice by patients was reported in only two studies.33,39 Chanda et al. used a system in which CHWs were notified by health centre staff if a referred patient visited the health centre.33 For 40 to 42% of the referrals feedback was received. In contrast, Thomson et al. found a very low referral completion of 1.5%.39 They surveyed children three to 59 months and pregnant women in their second and third trimester in Sierra Leone. A large variation in referral completion was found within the different communities (0 to 18.8%). Furthermore, if stratified for RDT results, referral completion was 88.2% for RDT positives (usually referred for signs of severe malaria) in contrast to 0.9% for RDT negatives. Barriers for adherence mentioned in focus group discussions were bad roads,38 difficulties in transport,38 distance to health centres33,38 and lack of staff at the health centre which may result in long waiting hours.33
Uptake of RDT based CCMm by members of the community
Three studies reported on the uptake by the community of RDT-based CCMm in comparison to baseline levels (pre-intervention period), presumptive CCMm or health centre-based care (Table 5). Two studies showed an increased use of RDT-based CCMm services over the study period.15,27 Additionally, one of the studies compared it to health centre-based care and showed a constant number of visits in these clinics. It was concluded that the overall access to malaria healthcare had thus increased by the intervention.15 These positive findings are not always sup-ported, as in a study of Lemma et al., the number of people visiting the random-ly selected CHWs who performed RDT-based CCMm was half of those visiting CHWs who used presumptive diagnosis.40 The reasons for this reduction were not further investigated. Obstacles for visiting the CHW mentioned by the commu-nity in three other studies were the unavailability of the CHW,16,37 dislike of CHW
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services,37 distrust of the skills of the CHWs,37 lack of drugs,37 fear of HIV/AIDs infection,35 a disease that is perceived to be too severe for CHW to handle,16 and the relative distance to the health centre versus to the CHW.16,37
Table 5 Healthcare-seeking behavior
Study Intervention Control Outcome
Elmardi 200927
RDT-based CCMm
Comparison with pre-intervention period (no CCMm)
Pre-intervention 25% of mothers of sick children <5years would seek care within the village, after the study 64.7% would seek care within the village (p value).
Lemma 201040
RDT-based CCMm
Presumptive CCMm Only half the number of patients (5,123 pa-tients) visited CHWs who performed RDT-based CCMm compared with presumptive CCMm (10,475 patients).
Tay-ler-Smith 201115
RDT-based CCMm free of charge
Health centre care, little payment was required for ACT.
In two years there was an increase in number of episodes of treated malaria per child per year from 0.4 to 1.2 for CHWs, whereas it remained stable at 0.2 for health centres.
Stock-outs
In the pre-intervention focus group discussions in the study of Mukanga et al., problems in lack of transport for replenishment of supplies were foreseen.35 Four studies mentioned stock-out problems.18,20,33,38 The only other study that men-tioned supply issues did not experience any stock-out problems.27 In all studies the CHW was instructed to replenish stocks at an affiliated health centre. Blanas et al. found in 2009 that 74% of villages did not have RDTs or the RDTs were expired.38 In 68% of villages no ACT was available. However, Ndiaye et al. found in the same study area in 2010 and 2011, that 90.2% of CHWs had RDTs in stock and 88% had sufficient ACT in stock.20 It seems that experience over time helped stock man-agement, although in the latter study only 11.8% of all stock management forms were completed. Stock-out problems were also found in the studies of Chanda et al.33 (stock-outs of RDTs for about two weeks) and Counihan et al.18 (stock-outs of drugs and RDTs). One of the biggest problems for CHWs in the latter study was the refusal of health centres to resupply the CHWs. Health centres were either not informed about the agreement on stock supply or they experienced stock-outs themselves.18
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Motivation and remuneration of CHWs
Ndiaye et al. showed that there was high seasonal variation in CHW participation in Senegal.20 This could be due to the difference in malaria burden but the authors also suspect that the little remuneration and the nearby gold mining activities had their impact on CHW participation. CHWs are mostly considered volunteers, but incentives such as small fees for their consultation,27 compensation in material form or services,16,17,23,29 or structured payments17,24,26,30 were mentioned in most studies. In Elmardi et al. only 35% of CHWs were satisfied with the financial out-come of their services which was 0.5 US$ per consultation.27 However, when these CHWs were asked about the most motivating aspect of their work, it was not the financial compensation but community respect and spiritual outcome. This was supported by Hamer et al. in which only four of 18 CHWs received some kind of payment, but almost all were satisfied or highly satisfied with their CHW job (37 and 61%, respectively).17 There was no information on the impact of incentives and motivation on the attrition of CHWs.
Cost-effectiveness
Two studies on cost-effectiveness compared RDT-based CCMm to presumptive CCMm21,22 and a third compared it with health centre-based malaria care23 (Table 6). All three studies did not have sufficient quality for cost-effectiveness analyses as described in risk of bias summary and all used a short-term outcome for health benefit, that is cost per correctly treated case,22,23 or related cost per case saved from unnecessary treatment.21 Compared to health centre-based care, costs for RDT-based CCMm were lower per correctly treated case, but the additional cost per change in case appropriately diagnosed and treated was 4.18 US$ for RDT-based CCMm in Zambia.23 RDT-based CCMm was also found to cost less compared with presumptive CCMm for areas with low to medium malaria trans-mission,22 but not in high transmission areas as was shown in the Democratic Republic of Congo.21 Furthermore, study region could be of importance as shown by Lemma et al. in Ethiopia.22 The study was situated in an area where Plasmodi-um vivax is also prevalent and consequently the RDT that differentiated between types of malaria species showed the lowest costs per appropriately treated case. However, for total costs, only differentiating between P. falciparum malaria and all other fever cases was the cheapest option.
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Table 6 Cost-effectiveness of RDT based CCMm strategies
Study Intervention Control Malaria prevalence Outcome
Hawkes 200921
RDT-based CCMm for ≥5-14 years, presumptive <5 years old.
Presumptive treatment up to 14 years old.
88% by microscopy, for calculations prevalence of 80% was considered.
8.79 US$ for each case saved from unnecessary treatment (total health budget per person per year is 15$). Total costs three times as high for RDT based CCMm.
Lemma 201122
RDT-based CCMm for P. falciparum with AL, other febrile cases treated with CQ.
Two comparisons.
1. RDT-based CCMm for P. falciparum (AL) and P. vivax (CQ) and referral of all others.
2. Presumptive treatment with AL for all fever patients.
Slide positivity rate 27.29%, of which 70% P. falciparum.
Intervention: 4.66 US$ per correctly treated case.
Control 1. 1.69 US$ per correctly treated case.
Control 2. 11.08 US$ per correctly treated case.
Total costs were lowest for intervention strategy.
Chanda 201123
RDT-based CCMm with AL for all age groups (free of charge)
Health centre-based care (free of charge)
Prevalence 24% in RDT-based CCMm and 26% in health centres, either by RDT or microscopy.
Cost per case appropriately diagnosed and treated 4.22 US$ in RDT based CCMm (mainly because of higher adherence) and 6.61 US$ in health centers. Additional cost per change in case appropriately diagnosed and treated was 4.18 US$.
DiscussionThis review showed that CHWs are able to provide qualitative health care for malaria if properly trained. This is substantiated by other reviews for shared out-comes.5–7 Nevertheless some barriers are present for the success of the interven-tion. The success and failure of each of the steps in CCMm is discussed below.
The high quality of care is reflected in the good sensitivity and specificity of RDTs used by CHWs compared with microscopy. A high sensitivity is needed because, as the new first line of health care, RDT-based CCMm cannot be inferior in detect-ing malaria cases to the existing practices in health centres in which microscopy is often used, especially because it seems that RDT negatives, including false nega-tives, may not always reach a health centre for additional care.33,39 When the RDTs performed by CHWs were compared to PCR the sensitivity lowered but many of these cases were also missed by microscopy.29 Furthermore, the clinical relevance
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of these low parasitaemia cases is being debated, because they are considered to be ubiquitous and usually asymptomatic, although it might cause anaemia.41 Re-cent indications of a decreased malaria transmission in regions in SSA could how-ever lead to lower levels of immunity in the population and might subsequently in-crease disease susceptibility, also for subjects with low parasitaemia levels.42 RDT performance in case of low parasitaemia levels will therefore become increasingly important, especially in elimination settings.
Specificity levels were more variable, which is also seen in RDT use by profession-al health-care workers.43 This is a potential threat to the success of CCMm as it could lead to overtreatment and missed diagnoses of other febrile illnesses. This could be a reason to promote the implementation of iCCM, as other serious caus-es of fever, such as pneumonia, will be detected with this intervention. Factors in-fluencing specificity could be microscopy slide quality24 and persistent circulating HRP2 antigens (the diagnostic target of P. falciparum RDTs) after clearance of the malaria infection.44 The latter might explain a lower specificity when a substantial part of individuals received previous anti-malarial treatment30 and the lower spec-ificity for individuals with a higher immunity against malaria, such as children >five years of age in Ishengoma et al.28 and in Chinkhumba et al.30 Another possibility for a low specificity, though controversial, could be that RDTs are more sensitive than microscopy, meaning that false positives were actually true positives.43 Sup-port for this conclusion may be found in Ratsimbasoa et al. who showed a higher specificity if RDTs were compared with PCR than if RDTs were compared with microscopy.29
The performance of RDTs did not seem to be much influenced by execution and interpretation of RDTs, as these showed generally good results. It should however be considered that all results were collected by (in)direct evaluation of the CHWs and this may have biased the outcome.45 Job aid and training were factors posi-tively associated with interpretation and execution of RDTs, however, this improve-ment could also be related to the selection bias in CHWs. That would imply CHWs perform better with higher educational background. Nevertheless progress may still be obtained by increased practice of RDTs during training,18,19 especially prac-tice of interpretation of faint positives and invalid test results and practice of the steps that were found to be frequently problematic; these were collecting blood in the right way and in the right amount, dispensing buffer drops in the right amount and in the right well, registering patient data and waiting the correct time before reading test results.18–20 It is unknown why these steps were more problematic. Only one study reported an event with high safety risk,18 but safety issues should always be well addressed during training. Furthermore, visual impairments may hamper the correct interpretation of RDTs and therefore screening for visual im-pairments should be done before appointing new CHWs.34
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RDT performance could also have been influenced by 1) storage conditions,46 which stresses the need of a cold chain, or 2) type of RDT, because of variable intrinsic diagnostic qualities and differences in ease of execution and interpreta-tion. Many types of RDTs are available and not enough evidence was found in this review to advise on a specific type of test. Guidance for RDT choice can be found in a published WHO report which shows an extended overview of all different ma-laria RDTs, although it should be noted that these were tested in regulated circum-stances by laboratory technicians, thus not informing on end-user impact.47
Adherence to test results and referral guidelines is important for safe and success-ful implementation of RDT-based CCMm and the reviewed literature highlighted that CHWs showed generally high levels of adherence to test results regarding treatment. This in contrast to professional healthcare workers, in whom adher-ence was found to be much more variable because they often rely on clinical judg-ment instead of RDT results48–52 and the fear of false-negative RDT results may tempt them to treat negative patients, especially in the case of subjects with no or little malaria immunity.53 It could be that these reasons also contributed to the few studies on CHWs who reported non-adherence to negative test results,20,27,30 espe-cially because CHWs were previously instructed to regard any fever case as malar-ia. This is however unknown since CHW reasons for not adhering to negative test results were not investigated, although several studies stressed the importance of training and monitoring in order for the CHWs to adhere to the study guidelines.17,18,23,24,26,28,30,32,33,40 Interestingly, all studies with an iCCM design showed good adherence to negative RDT results. The provided alternatives for malaria treat-ment in iCCM, such as antibiotic treatment for pneumonia after diagnosis with a respiratory rate timer, could have contributed positively to this adherence.
Unfortunately, despite the importance of referring patients with danger signs, ad-herence to referral policy is scarcely addressed, with one study reporting low20 and one reporting high adherence.25 Again, why CHWs did not refer patients was not studied. From the patient perspective, two studies investigated referral completion and showed that many patients did not follow up on referral, although the big dif-ference in magnitude between these studies is remarkable.33,39 Possible barriers for patients to complete referral were found to be mostly due to transportation difficulties; a problem that is even bigger for health centre-based care and one that is not easily solved, although iCCM could reduce the overall need for referral. Other barriers were not thoroughly investigated; however an interesting finding was that RDT result apparently influenced referral completion.39
Studies on morbidity and mortality lacked high quality evidence which impairs firm conclusions. CCMm should be beneficial compared with presumptive CCMm by decreasing overtreatment, and increasing diagnoses of other diseases. Howev-er, false negative RDT results could negate the beneficial effects. The low evidence
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is surprising, but may reflect the more challenging design needed, which should incorporate follow-up of all patients.
The effect on morbidity and mortality in the total population is dependent on acceptability and healthcare-seeking behaviour of the community, which was found to increase within the community after introduction of RDT-based CCMm. It should however be noted that the studies reporting on the uptake of CCMm with RDTs took place during a trial, which could influence the way people behave. This effect is better known as the Hawthorne effect.45 Several aspects were men-tioned as barriers of CCMm uptake in the reviewed studies. Even though CHWs are mostly selected by the community or community leaders and must often meet certain criteria of educational background, barriers related to distrust of the CHW are mentioned.37 How often distrust is a problem and what this is based upon is unknown. Better understanding of distrust might help in correctly sensitizing the community to increase acceptance and uptake of CCMm. Other barriers are lo-gistical factors such as distance and transport to CHW, unavailability of CHW and stock outs. As CCMm already brings malaria care closer to the patient’s home, problems of distance and transport are not specific for community based health-care and are difficult to solve. Unavailability of the CHW might be related to too lit-tle remuneration, limiting CHWs in their time because they must take care of their livelihood. CHW remuneration is shortly discussed below. The issue of stock-outs seems to be a frequent problem for RDTs and anti-malarial drugs18,20,33,38 Next to the failure to provide patients the care they need at these moments, even the ru-mour of stock-out could prevent people from visiting CHWs.37 The problem might be even bigger after trial termination because stock supply is usually more strictly regulated during study periods. Experience with stock management by CHWs may have a positive influence on the availability,20 but stock management by CHWs is not always the main barrier.33 CHWs usually rely on nearby health facilities for their stock supply but, due to financial, logistical, political, and other factors, drug supply through the government health systems is often unreliable and shortages of essential drugs are common in health centres as well, especially in the most remote areas.54
Another issue important for sustainability of RDT-based CCMm is CHWs’ moti-vation and remuneration. It is unfortunate that information is scarce and there is no evaluation of motivation and the remuneration alternatives on the subsequent retention of CHWs in RDT-based CCMm. However, respect by the community and spiritual outcomes seem to be important for motivation. This was also reported in a recent Cochrane review that informed on motivation for lay health workers involved in all types of healthcare interventions.55 Altruism, social recognition, knowledge gain, and career development were mentioned as motivations. Dis-crepancies were found in opinions on payment as incentive; supporters thought
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their time investment and obtained skills should be compensated, opponents thought working in a profit-oriented way can evoke negative reactions within the community.56 Non-monetary incentives, such as bicycles, uniforms, mobile phones, or health insurance were generally well appreciated.56,57
The last important item for long-term implementation, in particular for policy makers, is cost-effectiveness. Cost-effectiveness is highly dependent on malaria transmission, infrastructure and existing health systems. It can be concluded from the reviewed literature that the possible monetary beneficial effects of RDT-based CCMm versus presumptive CCMm are the biggest in areas with low to moderate malaria prevalence, at least for the costs per correctly treated case. With declining malaria prevalence in many SSA countries, RDT-based CCMm will probably be-come increasingly cost-effective.58 However, because of limitations in the study designs these cost-effectiveness analyses are not informative enough for policy makers. Most importantly not all health-related benefits were included, such as the effect on longer term morbidity and mortality. Also, the real-time information on malaria prevalence that can be obtained with RDT testing is of importance for malaria control programmes. Moreover, testing with RDTs enables CHWs to ad-equately treat other febrile diseases than malaria and is the first step in moving from CCMm to iCCM. Because of these additional benefits, cost-utility analyses on differences in disability or quality adjusted life years (DALYs or QALYs) would gain the most information on the actual effects for patients and the possible im-pact for society of RDT-based CCMm.
A number of limitations are present due to the scope of this review. First of all, for several outcomes only a few studies were found, limiting the amount of ev-idence. Moreover, the few studies found were sometimes of insufficient quality for the relevant outcome, such as for morbidity and mortality. In general, very few studies investigated the factors that could explain why some of the critical steps in CCMm are successful or not. Secondly, in contrast to outcomes of diagnostic quality, cost-effectiveness, or impact of intervention on morbidity or mortality, it was challenging to assess the risk of bias for the remaining outcomes, because criteria for quality assessment were not standardized. Thirdly, most outcomes were investigated in trial settings, in which logistics are frequently well arranged and motivation is high, but only until the end of the study period. The lack of im-plementation studies may therefore have caused a bias. Finally, the restriction of the review to CCMm prevented the use of studies on iCCM without distinguishable CCMm data, but this was the only way to establish the benefits and failures of the individual intervention for the fight against malaria. Nevertheless, integrated CCM is an important development that may lead to increased access to target-ed healthcare, without jeopardizing but potentially even improving malaria care. Although the data presented in this review give a wealth of information, several
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aspects warrant further studies. First of all, no firm conclusions can be made on the absolute impact of the test and treat policies on morbidity and mortality. Fur-ther studies appropriately designed to measure this effect are needed and should preferably include follow-up of all patients, including referred and RDT-negative patients to also estimate the change in detection of other febrile diseases. Proven effect on morbidity and mortality will help policy makers in their decision about implementation of the intervention.
Furthermore, this review has shown that social science contributions are scarce. This limits the understanding of the implementation of RDT-based CCMm in dif-ferent local contexts. Multidisciplinary approaches in which biomedical and social sciences asses the intervention, both by qualitative and quantitative methods, are needed. Factors influencing adherence to test results, referral completion, accep-tance and uptake of the intervention and CHW attrition need to be more thoroughly investigated. Moreover, research is required to assess the best and most sustain-able way of (re)training and supervising CHWs.
Little is published on logistic and structural elements, which would allow the de-sign of a sustainable programme. Therefore, the system of stock supply and stock management throughout the healthcare system should be outlined and analysed to detect the problem areas.
ConclusionsDespite limitations of the currently available evidence, several recommendations can be made for the design and implementation of CCMm. It is most important that CHWs receive a training in which they have enough opportunity to practice the difficult steps and interpretation of RDTs to ensure adequate execution and interpretation of the tests and consequently ensure the most optimal test perfor-mance. Furthermore, the risks derived from potentially lower specificity may be outweighed if iCCM is implemented. A job aid, repeated training and supervision can subsequently enhance the overall performance of CHWs, including adherence to test results. Again, further improvement in adherence can be obtained by imple-menting iCCM. Community sensitization is needed to ensure comprehension of the intervention and trust in the skills of the CHW. Furthermore, it might stimulate adherence to treatment and referral advice. The stock management system needs to be elucidated and stock management training should be an integrated part in the CHW and health centre staff training.
Finally, since factors influencing cost-effectiveness are abundant and variable in different malaria-endemic areas and because the scarce number of studies available lack the inclusion of important benefits, an individual cost-effectiveness
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analysis is still needed for each area preparing for RDT-based CCMm implemen-tation.58
The implications raised in this review can be used to draft RDT-based CCMm or iCCM programmes and research projects, even for risk groups not explicitly ad-dressed in most RDT-based CCMm studies, such as pregnant women. Howev-er, specific considerations would be in place depending on malaria pathogenesis, transmission dynamics, the existing healthcare structure and the local culture and social setting.
Abbreviations
ACT: artemisinin-combination therapy; CCMm: community case management of malaria; CHW: community health worker; CMD: community medicine distributor; iCCM: integrated community case management; RDT: rapid diagnostic test; SSA: sub-Saharan Africa; WHO: World Health Organization
Competing interests
The authors declare that they have no competing interests.
Acknowledgements
We would like to thank all authors who sent us additional information on their stud-ies. We would also like to thank I M Nagel (Medical Library, Academic Medical Centre, University of Amsterdam, Amsterdam) for her support with drafting the search strategies, K Vaughan (Royal Tropical Institute/Koninklijk Instituut voor de Tropen (KIT), Health Unit, Linnaeusstraat 35f, Amsterdam) for her assistance in critically assessing the cost-effectiveness studies, F Forland (Royal Tropical In-stitute/Koninklijk Instituut voor de Tropen (KIT), Biomedical Research, Meiberg-dreef 39, Amsterdam) for his suggestions for critical appraisal of unstandardized outcomes and P Klatser (Royal Tropical Institute/Koninklijk Instituut voor de Tro-pen (KIT), Biomedical Research, Meibergdreef 39, Amsterdam) for his comments on the manuscript. The preparation of this review has received funding from the European Community’s Seventh Framework Programme under grant agreement No.305662 (Project: Community-based scheduled screening and treatment of malaria in pregnancy for improved maternal and infant health: a cluster-random-ized trial ‘COSMIC’).
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Additional file 1.‘Search syntax’. Latest update 12th October 2013.
Database Search syntax
Medline
http://www.ncbi.nlm.nih.gov/pubmed/
malaria[mesh] OR malaria[tiab] OR plasmodium falci-parum[tiab] OR p falciparum[tiab]
AND
mass screening[mesh] OR screen*[tiab] OR sst[tiab] OR rdt[tiab] OR rapid diagnos*[tiab] OR (rapid[tiab] AND test*[tiab]) OR (rapid antigen test*[tiab])
AND
home based[tiab] OR home management[tiab] OR com-munity case management[tiab] OR community man-agement[tiab] OR community based[tiab] OR hmm[tiab] OR community health[tiab] OR home health worker*[-tiab] OR health community worker*[tiab] OR home case management[tiab] OR community directed[tiab] OR village health worker*[tiab] OR Community Malaria Vol-unteer*[tiab] OR community owned resource person*[-tiab] OR village malaria worker*[tiab] OR health exten-sion worker*[tiab] OR malaria control assistant*[tiab] OR community malaria volunteer*[tiab] OR “Community Health Workers”[Mesh] OR “Home Health Aides”[Mesh]
Embase ‘malaria’/exp OR ‘plasmodium falciparum’/exp OR ma-laria:ab,ti OR (plasmodium:ab,ti AND falciparum:ab,ti) OR (p:ab,ti AND falciparum:ab,ti) AND [embase]/lim
AND
‘screening’/exp OR screen*:ab,ti OR sst:ab,ti OR rdt:ab,ti OR (rapid NEXT/1 diagnos*):ab,ti OR (rapid NEXT/4 test*):ab,ti OR (‘rapid antigen’ NEXT/1 test*):ab,ti AND [embase]/lim
AND
‘health auxiliary’/exp OR (home NEXT/1 based):ab,ti OR (home NEXT/1 management):ab,ti OR (‘commu-nity case’ NEXT/1 management):ab,ti OR (community NEXT/1 management):ab,ti OR (community NEXT/1 based):ab,ti OR hmm:ab,ti OR (community NEXT/1 health):ab,ti OR (‘home health’ NEXT/1 worker*):ab,-ti OR (‘health community’ NEXT/1 worker*):ab,ti OR (‘home case’ NEXT/1 management):ab,ti OR (commu-nity NEXT/1 directed):ab,ti OR (‘village health’ NEXT/1 worker*):ab,ti OR (‘community malaria’ NEXT/1 volun-teer*):ab,ti OR (‘community owned resource’ NEXT/1 person*):ab,ti OR (‘village malaria’ NEXT/1 worker*):ab,ti OR (‘health extension’ NEXT/1 worker*):ab,ti OR (‘malar-ia control’ NEXT/1 assistant*):ab,ti OR (‘malaria village’ NEXT/1 worker*):ab,ti AND [embase]/lim
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02
Database Search syntax
Cochrane
http://www.thecochranelibrary.com
malaria or “plasmodium falciparum” or “p falci-parum”:ti,ab,kw in Cochrane Reviews (Reviews and Pro-tocols) and Trials (Word variations have been searched) OR [Malaria] explode all trees OR [Malaria, Falciparum] explode all trees OR [Plasmodium falciparum] explode all trees
AND
screen* or sst or rdt or (rapid next diagnos*) or (rapid next test*) or (“rapid antigen” next test*):ti,ab,kw (Word variations have been searched) OR [Mass Screening] explode all trees
AND
“home based” or “home management” or “community case management” or “community management” or “community based” or hmm or “community health” or (“home health” next worker*) or (“health community” next worker*) or “home case management” or “com-munity directed” or (“ village health” next worker*) or (“Community Malaria” next Volunteer*) or (“Community owned resource” next person*) or (“village malaria” next worker*) or (“health extension” next worker*) or (“ma-laria control” next assistant*):ti,ab,kw (Word variations have been searched) OR [Community Health Workers] explode all trees
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62
Database Search syntax
MIP library
http://library.mip-consortium.org/
malaria:TI or malaria:AB or (plasmodium falciparum:TI) or (plasmodium falciparum:AB) or (p falciparum:TI) or (p falciparum:AB)
AND
screen*:TI or screen*:AB or sst:TI or sst:AB or rdt:TI or rdt:AB or ((rapid:TI) next diagnos*:TI) or ((rapid:AB) next diagnos*:AB) or ((rapid:TI) next test*:TI) or ((rapid:AB) next test*:AB) or ((rapid antigen:TI) next test*:TI) or ((rap-id antigen:AB) next test*:AB)
AND
(home based:TI) or (home based:AB) or (home man-agement:TI) or (home management:AB) or (community casemanagement:TI) or (community case manage-ment:AB) or (community management:TI) or (communi-ty management:AB) or (community based:TI) or (com-munity based:AB) or hmm:TI or hmm:AB or (community health:TI) or (community health:AB) or ((home health:TI) next worker*:TI) or ((home healh:AB) next worker*:AB) or ((health community:TI) next worker*:TI) or ((health community:AB) next worker*:AB) or (home case management:TI) or (home case management:AB) or (community directed:TI) or (community directed:AB) or ((village health:TI) next worker*:TI) or ((village health:AB) next worker*:AB) or ((community malaria:TI) next volun-teer:TI) or ((community malaria:AB) next volunteer:AB) or ((community owned resource:TI) next person*:TI) or ((community owned resource:AB) next person*:AB) or ((village malaria:TI) worker*:TI) or ((village malaria:AB) worker*:AB) or ((health extension:TI) next worker*:TI) or ((health extension:AB) next worker*:AB) or ((malaria control:TI) next assistant*:TI) or ((malaria control:AB) next assistant*:AB) or ((malaria village:TI) next worker*:-TI) or ((malaria village:AB) next worker*:AB)
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02
Additional file 2‘Excluded articles with reasons’
Excluded article Reason for exclusion
Alfred Tiono 2010 et al. Abstract. Author referred to Tiono 2013 et al.
Ashton et al. Only opinion of CHWs on ease of handling of RDT.
Betson 2011 et al. Abstract.
Bjorkman 2011 et al. Abstract. Study described in Msellem 2009 PLoS Med et al: no use of CHWs.
Blanas et al. 2010 Abstract. Full study described in Blanas 2013
Brieger et al. 2011 Abstract.
Buwembo 2012 et al. Abstract.
De Smet et al. Abstract, author suggested Tayler-Smith 2011.
Diarra 2012 et al. Community clinic health workers. No response on question whether these met the definition of CHWs.
Diouf 2010 et al. Abstract. Not specific on RDT based home-management interven-tion.
Gerstl 2010 et al. No CHWs.
Gerstl 2009 et al. Abstract. Full text in Malaria J 2010 not about CHWs.
Hopkins 2011 et al. Only data available for all health workers combined, not separately for CHWs.
Iyer 2011 et al. Abstract. About integrated CCM.
Jean et al. 2011 Abstract, full study described in Tine 2011 et al. Malaria J
Landoh 2012 et al. Morbidity study not focused on RDT based CCMm
Luchavez et al. 2007 Not situated in SSA and not the right outcome.
Masanja et al. 2010 Only data available for all health workers combined, not separately for ‘volunteers’.
Muhindo et al. 2012 No CHWs performing RDTs.
Ndiaye et al. 2011 Abstract. Described in Ndiaye et al. 2013
Ndiaye et al. 2012 Abstract. Described in Ndiaye et al. 2013
Ndyomugyenyi et al. 2012 Abstract.
Ngasala 2011 et al. RDTs only used for first screening, treatment and follow-up based on subsequent microscopy result so no relevant outcomes.
Orji et al. 2012 Abstract.
Ouatarra et al. 2011 No CHWs.
Pagnoni et al. 2011 Abstract, full study described in Mukanga et al. 2012 (multi-country study)
Ponsar et al. 2009 Abstract.
Roger et al. 2011 Abstract, full study by Tine 2011 et al.
Rutta et al. 2009 Abstract, full study by Rutta et al. 2012.
Shekalaghe et al. 2013 No CHWs.
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Excluded article Reason for exclusion
Silumbe et al. 2012 Abstract.
Thiam et al. 2012 (AMJT-MH)
Abstract.
Thiam et al. 2012 (AJTMH) Abstract. Full study in Thiam et al. 2012 (Malaria J)
Thiam et al. 2011 Abstract. Full study in Thiam et al. 2012 (Malaria J)
Tine 2011 et al. Intervention directed at IPT instead of RDT based CCMm.
Willcox et al. RDTs not performed by CHWs.
Yeboah-Antwi et al. 2009 Abstract. Full study described in Yeboah-Antwi et al. 2010.
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02
Stud
yCo
untr
yPa
rtic
ipan
tsSt
udy
desi
gn
RDT performance
RDT interpretation
RDT execution
Adherence to test results by CHWs
Morbidity/ mortality
Acceptability by community
Uptake by community
Stock outs
CHW incentives
Cost-(effectiveness)
Blan
as38
2013
Sene
gal
All c
are-
seek
-in
g pa
tient
sPr
e- a
nd p
ost-t
rain
ing
asse
ssm
ents
of C
HW
s. P
ost-t
rain
ing
asse
ssm
ent t
wo
mon
ths
afte
r tra
inin
g.X
X
Chan
da23
2011
(1) a
Zam
bia
All c
are-
seek
-in
g pa
tient
sO
ne-y
ear e
valu
atio
n on
the
cost
s an
d ef
fect
s of
RDT
-bas
ed
CCM
m v
ersu
s he
alth
cen
tre-
base
d ca
re.
XX
Chan
da33
2011
(2) a
Zam
bia
All c
are-
seek
-in
g pa
tient
s.Pr
ospe
ctiv
e 1.
5-ye
ar e
valu
atio
n of
CH
Ws
com
pete
nce
in
RDT
-bas
ed C
CMm
XX
X
Chin
khum
-ba
30 2
010
Mal
awi
Patie
nts≥
5 ye
ars
with
(his
-to
ry o
f) fe
ver
Cros
s-se
ctio
nal s
tudy
on
RDT
use
by
CHW
sX
X
Cou
niha
n18
2012
Zam
bia
All c
are-
seek
-in
g pa
tient
sPr
ospe
ctiv
e 1-
year
eva
luat
ion
on rD
T us
e by
CH
Ws
XX
X
Elm
ardi
27
2009
Suda
nAl
l car
e-se
ek-
ing
patie
nts
Pre-
and
pos
t-int
erve
ntio
n as
sess
men
t (du
ratio
n 9
mon
ths)
on
RDT
-bas
ed C
CMm
and
pne
umon
ia tr
eatm
ent w
ith a
mox
-ic
illin
. Con
trol
CH
Ws
trea
ted
mal
aria
pre
sum
ptiv
ely
and
re-
ferr
ed p
neum
onia
pat
ient
s.
XX
XX
XX
Ad
dit
ion
al
file
3‘O
verv
iew
of i
nclu
ded
stud
ies
and
repo
rted
out
com
es’
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66
Stud
yCo
untr
yPa
rtic
ipan
tsSt
udy
desi
gn
RDT performance
RDT interpretation
RDT execution
Adherence to test results by CHWs
Morbidity/ mortality
Acceptability by community
Uptake by community
Stock outs
CHW incentives
Cost-(effectiveness)
Ham
er17
20
12b &
Ye-
boah
-Ant
-w
i16 2
010 b
Zam
bia
Patie
nts
6 m
onth
s-5
year
s w
ith fe
ver
or re
spira
tory
sy
mpt
oms
Clus
ter r
ando
miz
ed c
ontr
olle
d tr
ial.
Inte
rven
tion
CHW
s pe
r-fo
rmed
RDT
-bas
ed C
CMm
and
XX
X
Har
vey19
20
08Za
mbi
aFe
brile
pa-
tient
s.St
udy
on c
ompe
tenc
e of
CH
Ws
in R
DT p
erfo
rman
ce d
irect
ly
afte
r hou
rs’ t
rain
ing
XX
Haw
kes21
20
09D
RC
Patie
nts
0 –
14
year
s w
ith fe
ver
One
-wee
k ev
alua
tion
on R
DT-b
ased
CCM
m.
XX
X
Ishe
ngo-
ma28
201
1 c
Tanz
ania
Patie
nts
with
(h
isto
ry o
f)
feve
r
Long
itudi
nal s
tudy
(5 y
ears
) on
RDT
-bas
ed C
CMm
for p
a-tie
nts
≥5 y
ears
and
pre
sum
ptiv
e tr
eatm
ent f
or p
atie
nts
<5
year
sX
X
Lem
ma40
20
10Et
hiop
iaCa
re-s
eeki
ng
patie
nts
≥1 y
ear
Two-
year
stu
dy. Y
ear 1
all
inte
rven
tion
CHW
s pr
esum
ptiv
ely
trea
ted
mal
aria
. Con
trol
are
as h
ad n
o CC
Mm
. Yea
r 2 h
alf o
f in
terv
entio
n CH
Ws
perf
orm
ed R
DT-b
ased
CCM
m.
X
Lem
ma22
20
11Et
hiop
iaPa
tient
s w
ith
(his
tory
of)
fe
ver
Eval
uatio
n of
thre
e CC
Mm
app
roac
hes.
1) D
iagn
osis
of s
pe-
cies
-spe
cific
mal
aria
+ tr
eatm
ent;
2) D
iagn
osis
of o
nly
P.
falc
ipar
um +
trea
tmen
t; 3)
Pre
sum
ptiv
e di
agno
sis
+ tr
eatm
ent
XX
Ad
dit
ion
al
file
3 (
con
tin
ue
d)
‘Ove
rvie
w o
f inc
lude
d st
udie
s an
d re
port
ed o
utco
mes
’
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02
Stud
yCo
untr
yPa
rtic
ipan
tsSt
udy
desi
gn
RDT performance
RDT interpretation
RDT execution
Adherence to test results by CHWs
Morbidity/ mortality
Acceptability by community
Uptake by community
Stock outs
CHW incentives
Cost-(effectiveness)
Mub
i24
2011
Tanz
ania
Patie
nts
≥3
mon
ths
with
(h
isto
ry o
f)
feve
r
Ran
dom
ized
cro
ssov
er tr
ial.
One
gro
up o
f CH
Ws
perf
orm
ed
RDT
-bas
ed C
CMm
, oth
er g
roup
trea
ted
mal
aria
pre
sum
ptiv
e-ly
. Gro
ups
alte
rnat
ed e
very
wee
k.X
XX
XX
Muk
anga
35
2010
Uga
nda
Care
give
rs o
f ch
ildre
n <5
ye
ars
Surv
ey a
mon
g co
mm
unity
mem
bers
prio
r to
impl
emen
tatio
n of
RDT
-bas
ed C
CMm
.X
X
Muk
anga
32
2011
Uga
nda
Patie
nts
<5
year
s w
ith (h
is-
tory
of)
feve
r
Stud
y on
com
pete
nce
of C
HW
s to
use
RDT
s. A
sses
smen
t 3
days
-2 w
eeks
aft
er tr
aini
ng. 1
3 co
nsul
tatio
ns o
bser
ved.
XX
X
Muk
anga
37
2012
d
Uga
nda
Care
give
rs o
f pa
tient
s <5
ye
ars
Cros
s-se
ctio
nal s
tudy
on
care
give
rs’ o
pini
on o
n in
terv
entio
n CH
Ws
perf
orm
ing
RDT
-bas
ed C
CMm
and
trea
ting
pneu
mon
ia
with
am
oxic
illin
.X
X
Muk
anga
34
2012
d
Burk
ina
Faso
, G
hana
, U
gand
a
Patie
nts
4 –
59
mon
ths
with
(h
isto
ry o
f)
feve
r
Clus
ter r
ando
miz
ed c
ontr
olle
d tr
ial.
Inte
rven
tion
CHW
s pe
r-fo
rmed
RDT
-bas
ed C
CMm
+ p
neum
onia
dia
gnos
is (r
espi
ra-
tory
rate
) and
trea
tmen
t. C
ontr
ol C
HW
s tr
eate
d m
alar
ia p
re-
sum
ptiv
ely,
in G
hana
they
als
o tr
eate
d pn
eum
onia
on
clin
ical
di
agno
sis.
X
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Stud
yCo
untr
yPa
rtic
ipan
tsSt
udy
desi
gn
RDT performance
RDT interpretation
RDT execution
Adherence to test results by CHWs
Morbidity/ mortality
Acceptability by community
Uptake by community
Stock outs
CHW incentives
Cost-(effectiveness)
Ndi
aye20
20
13Se
nega
lAl
l car
e-se
ek-
ing
patie
nts
Eval
uatio
n of
two
type
s of
CH
Ws
on p
erfo
rman
ce o
f RDT
-ba
sed
CCM
m.
XX
X
Nsa
gha36
20
12Ca
mer
-oo
nPe
ople
from
di
ffer
ent s
ocio
-de
mog
raph
ic
back
grou
nds
Focu
s gr
oup
disc
ussi
ons
and
in-d
epth
inte
rvie
ws
on R
DT-
base
d CC
Mm
bef
ore
impl
emen
tatio
n.X
Prem
ji31
1994
Tanz
ania
Patie
nts
<42
mon
ths
who
ar
e re
gula
rly
test
ed fo
r ma-
laria
.
Stud
y on
RDT
per
form
ance
in h
ands
of C
HW
s.
X
Rat
sim
ba-
soa29
201
2M
ada-
gasc
arPa
tient
s 2-
59
mon
ths
with
(h
isto
ry o
f)
feve
r
Eval
uatio
n of
one
yea
r int
erve
ntio
n of
RDT
-bas
ed C
CMm
.
X
Rutt
a26
2012
c
Tanz
ania
All c
are-
seek
-in
g pa
tient
s.Pr
e- a
nd p
ost-i
nter
vent
ion
surv
ey (s
tudy
of 4
yea
rs) o
n R
DT-
base
d CC
Mm
for p
atie
nts
≥5 y
ears
and
pre
sum
ptiv
e tr
eat-
men
t for
pat
ient
s <5
yea
rs.
X
Ad
dit
ion
al
file
3 (
con
tin
ue
d)
‘Ove
rvie
w o
f inc
lude
d st
udie
s an
d re
port
ed o
utco
mes
’
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Stud
yCo
untr
yPa
rtic
ipan
tsSt
udy
desi
gn
RDT performance
RDT interpretation
RDT execution
Adherence to test results by CHWs
Morbidity/ mortality
Acceptability by community
Uptake by community
Stock outs
CHW incentives
Cost-(effectiveness)
Tay-
ler-S
mith
15
2011
Chad
Chad
: pat
ient
s <1
5 ye
ars
Eval
uatio
n of
up
to 5
yea
rs o
f RDT
-bas
ed C
CMm
.X
Tion
o14
2013
d
Burk
ina
Faso
Child
ren
aged
6
– 5
9 m
onth
s w
ith (h
isto
ry
of) f
ever
Stud
y on
RDT
per
form
ance
if u
sed
by C
HW
s fr
om th
e in
ter-
vent
ion
arm
of a
clu
ster
-RCT
X
Thia
m25
20
12Se
nega
lPa
tient
s w
ith
susp
ecte
d m
alar
ia.
Non
-ran
dom
ized
con
trol
led
tria
l. 25
rura
l dis
tric
ts w
ith R
DT-
base
d CC
Mm
as
inte
rven
tion,
con
trol
are
as w
ith n
o CC
Mm
at
all.
XX
Thom
son39
Sier
ra
Leon
ePa
tient
s 3-
59
mon
ths
and
preg
nant
wom
-en
2nd
and
3rd
tr
imes
ter.
Surv
ey o
n re
ferr
al b
ased
on
reco
rd re
view
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Additional file 4Counihan et al. : Community health workers use malaria rapid diagnostic tests (RDTs) safely and accurately: results of a longitudinal study in Zambia. Am J Trop Med Hyg 2012, 87:57-63
19 steps required to correctly and safely prepare a rapid diagnostic test (RDT) (critical steps noted in boldface type).
1. Assemble new test packet, swab, buffer, pipette, lancet and gloves.2. Put on new pair of gloves.3. Check expiry date on package.4. Check desiccant sachet is still dry (do not include answer in total score).5. Write patient’s name on cassette.6. Place cassette on a level surface.7. Clean finger with antiseptic/alcohol.8. Allow finger to dry before pricking it.9. Use a sterile lancet for finger prick.10. Puncture the side of the ball of the finger.11. Dispose of lancet in sharps bin immediately after pricking finger.12. Collect blood with the enclosed pipette making sure to fill close to the first
cross line.13. Using the pipette, blot blood onto the pad in the smaller well.14. Dispose of pipette in sharps container immediately.15. Dispense 5 drops of clearing buffer into the larger well.16. Wait 15 minuts before reading negative results.*17. Read test results correctly.18. Record results in CHW register.19. Dispose of non-sharps (gloves, wrappers, alcohol swab, and desiccant) safely.
*Positive results may be read before 15 minuts if control line has also appeared. Results should not be read after 30 minutes.