MEASURING PREVALENCE OF D&A DURING CHILDBIRTH IN KENYA: THE HESHIMA PROJECT Timothy Abuya, Charity...
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Transcript of MEASURING PREVALENCE OF D&A DURING CHILDBIRTH IN KENYA: THE HESHIMA PROJECT Timothy Abuya, Charity...
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MEASURING PREVALENCE OF D&A DURING CHILDBIRTH IN KENYA: THE HESHIMA PROJECT Timothy Abuya, Charity Ndwiga, Lucy Kanya, George Odhiambo, Alice Maranga and Charlotte Warren
Respectful Maternity Care Seminar: 24th June 2014George Washington University School of Public Health
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Heshima Project objectives
1. Specify types and prevalence of D&A
2. Develop and validate tools for assessing D&A
3. Identify potential drivers of D&A
4. Design, implement and evaluate interventions to reduce D&A
5. Generate lessons for replication and scale up
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Why measure the prevalence?• Is the measurement aimed at developing
interventions/policy response at both global and local levels?– Developing interventions to improve quality of care– For advocacy purposes to bring forth human right
issues of equity/access to quality health care – Improve health indicators (maternal indicators)
• Is it aimed at developing tools that are sensitive enough to help point the magnitude of the problem (academic purpose) ?
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How purpose influences measurement approach
Purpose Things to consider for measurement
developing interventions/policy response at both global and local levels?
Multiple sources of data that are cost effective
-take account of client’s perspective
developing tools that are sensitive enough to help point the magnitude of the problem
-Rigorous and multiple sources of data to triangulate /sensitivity of the measurement tools
-Huge sample size in multiple places to account for variations in context
-standardization of tools-language and whether to use single or multiple item response
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Defining disrespect and abuse in facility-based childbirth
Structural level:What women and providers
consider poor care, but is caused by system deficiencies
Deviations from national standards of good quality care
Deviations from human rights standards (available, accessible,
acceptable, quality)
Individual level:Normalized D&A:
What women experience as D&A but providers consider normal
When providers are disrespectful and abusive but women consider
it normal
Individual level: actions that all agree are D&A
Initial intervention target
Prevalence Measure
Policy Advocacy
Structural level:System deficiencies that lead to poor care that is accepted and
normalized
Individual level
Structural level
Policy Level
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Multiple data sources for different needs
Purpose Data sources
developing interventions/policy response at both global and local levels
Client provider observations
client exit interviews (Immediate/follow up)
Inventories
Provider/community views
developing tools that are sensitive enough to help point the magnitude of the problem
Client provider observations
client exit interviews (Immediate/follow up)
Community survey
Provider/community views
Case narratives
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From the bull’ eye to the actual measurement
Category Experienced by clients
Non confidential care
Treated in a way that violated privacy and/or confidentiality
Non-dignified care
Provider said/used a facial expression that made you feel uncomfortable
Neglect/abandonment
Left unattended when needed help Requests for pain relief ignored
Non-consented care
Treatment given without permission
Physically abused
Slap, pinch, push, beat, poke
Inappropriate demands for payment
Detention for failure to payRequest for a bribe for services
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Any occurrence of Disrespect and Abuse
Main question: at any point during labor and delivery were you treated in a way that made you feel humiliated or disrespected
• 20% clients (n= 641) reported they were made to feel humiliated or disrespected at some point during labour and delivery
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Type of D&A Experienced by Postpartum Women
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Comparison of occurrence of any D&A with socio economic status
% reporting Lowest 20% Others P value
Any D&A
24.2% 19.1% 0.197
Lowest 40% Other categories
21.9% 19.0% 0.367
Lowest 60% Other categories
20.6% 19.5% 0.729
Highest 20% Other categories
15.5% 21.3% 0.143
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Comparison of highest and lowest quintiles and D&A experience
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Factors associated with D&A
Characteristic Any D&A DetainedRequest for
bribe Parity: ref: no previous children
Between 1-3 children
1.2(0.59,2.3)p=0.621
3.5 (2.2, 5.9)p<0.001*
4.5 (1.2,17.4) p=0.028*
Between 4-9 children
0.9 (0.13,6.8)p=0.984
12.4 (3.2 47.4) p<0.001*
49.4 (8.6,279) p<0.001*
Marital Status (ref: Never Married & Separated)
Currently Married
0.7 (0.42,1.0)p=0.067
0.2 (0.1,0.34)p<0.001*
0.2 (0.1,0.72)p=0.014*
Age: (ref below 19 years)
20-29 years1.1 0.61,1.8)
p=0.8180.4 (0.12,1.4)P=0.186
0.4 (0.092,1.7) p=0.223
Over 30 years NA0.3 (0.03,1.8)
p=0.185 NA
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Prevalence of D & A observed during admission and delivery
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Methodological issues to measurement
• What is the best methodological approach to assess the prevalence of D&A?
- Different methods yield different estimates of prevalence of D&A?
-Method for assessing the prevalence depends on purpose
- Key considerations are likely to be- logistical issues of collecting data, cost implications versus propose (policy change/interventions )
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Other attempts made to validate the tools
Study Sites and magnitude
Validation of Skilled birth attendance tool at facility and community follow up
Two sites in Kenya-Kiambu and Kisumu (nearly 600 women observed, interviewed on exit and will be followed up this year)
Assessing the impact of voucher on reproductive health behaviors
Over 3000 women interviewed during end line community survey across five counties
Base line community survey of a Kenya Signature program
About 3000 women interviewed in Bungoma County
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Lessons learnt • Choice of data collection procedures linked to
purposes-costly and cumbersome (standardizing approach/checklist, level of sensitization of data collectors)
• Contextualizing certain actions/observable behavior into categories that are measurable is difficult
• Some aspect of D&A are largely considered quality of care issues- but not written in standards of care guidelines
• Measurement of various categories of D&A appears to occur at various birthing stages thus difficult to have one single measure of prevalence
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