Tracking EMA Progress Against 2009-2012 Comp. Plan Indicators, with Data from 2008-2010
FOCUSING RYAN WHITE SERVICES THROUGH
ANNUAL EVALUATION OF THE COMPREHENSIVE
STRATEGIC PLAN
Mary Irvine, DrPH, MPH – Director, Research & Evaluation Graham Harriman, MA, LPC – Director, Care & TreatmentStephanie Chamberlin, MIA, MPH – Evaluation Specialist, Research & Evaluation
HIV Care, Treatment and Housing ProgramBureau of HIV/AIDS Prevention and ControlNew York City Department of Health and Mental Hygiene(NYC DOHMH)
Background and inputs to the Comprehensive PlanOverview of data sources used to measure progress
against targetsSummary of demographicsGoals 1-4
Objectives and Indicators for Ryan White and the EMA Progress towards targets: 2008-2010
Goal 5 –update on processHighlights of findingsDiscussionExercises/applications to other EMAs (off PowerPoint)
PRESENTATION OVERVIEW
Ryan White legislation mandates that planning councils develop a comprehensive plan for the delivery of HIV-related services.
The New York, NY EMA Part A grant covers: Five Boroughs of NYC (programs administered by the NYC DOHMH), and Three Counties North and East of NYC (Tri-County)
Westchester, Rockland, and Putnam Counties Programs administered by the Westchester Department of Health (WCDH)
For 2009-2012, the New York EMA used HRSA guidance, as well as the 2005-2008 Plan and available indicator data, to develop a plan that would comply with legislation and meet local needs.
This presentation focuses on data for 2008-2010 (calendar years or grant years, depending on the specifi c data source used).
2008-2010 local data were used throughout the process of developing the 2012-2015 Comprehensive Strategic Plan
Baseline data (2008) and Year 1 data (2009) were updated for all data sources to refl ect refi ned methodology in measuring the indicators, and to ensure comparability between all three years.
BACKGROUND
HRSA guidance National HIV/AIDS Strategy (applied for 2012-2015 Plan), as
well as other current legislative and programmatic initiatives Current NY EMA Comprehensive Strategic Plan documents Ongoing EMA planning process (Grantee with Planning Council) Data review on current Comprehensive Strategic Plan
indicators Feedback and draft contributions (September-May) from:
Planning Council’s Needs Assessment Committee, Integration of Care Committee and Executive Committee
Other Planning Council members (in full Council) NYC DOHMH and WCDH Staff Other NYC DOHMH Reviewers (not directly involved in planning of
Ryan White services), e.g., from the HIV Bureau’s Prevention Program
INPUTS FOR NY EMA COMP PLAN
National HIV/AIDS Strategy (NHAS)
NY EMA Comprehensive Strategic Plan
Decrease the number of new infections
Increase the number of individuals who are aware of their HIV status
Facilitate entry into care and enhance health outcomes
Promote early entry into HIV care &Promote optimal management of HIV infection
Diminish HIV-related disparities and health inequities
Reduce HIV/AIDS health disparities
INPUTS – NATIONAL HIV/AIDS STRATEGY
1. Required client-level Ryan White data reported by contractors
a. AIDS Institute Reporting System (AIRS) data for 2008-2010, supplemented by EMR extracts for two agencies
b. eSHARE (new) data combined with AIRS for 2010c. Allows analysis by Ryan White service category
or combinationd. Limited by providers’ completeness of reporting e. Limited to NYC programs (no Tri-County data)
for these analyses
DATA SOURCES FOR INDICATORS
2. HIV/AIDS Surveillance Registry (HSR) data from DOHMH HEFSP*
a. Includes data from provider reporting forms (PRF) and electronic laboratory reporting
b. Offers more complete laboratory test data (CD4 counts and viral loads, also used as proxies for care) than other available sources
c. Cannot address actual services or treatment received
d. Entails greater reporting lag than other data sources used
e. Represents NYC PLWHA only* HIV Epidemiology and Field Services Program, Surveillance
Unit
DATA SOURCES FOR INDICATORS (CTD.)
3. Rapid testing data from DOHMH HIV Prevention Program
a. Submitted by all agencies with NYC DOHMH funding for testing
b. Generally represents tests conducted (test-level vs. client-level), although Ryan White Part A providers report client-level data
c. Limited to NYC Tri-County data are available from Ryan White
programs only, and are not included in results utilizing the match with the NYC HIV surveillance registry (HSR)
DATA SOURCES FOR INDICATORS (CTD.)
4. The Community Health Advisory and Information Network (CHAIN) Study
a. Is a longitudinal study (conducted by Columbia University with DOHMH and WCDOH) of PLWHA in NYC and Tri-County
b. Draws on interviews with persons recruited from agencies providing social services and/or medical care (excluding private physicians’ offi ces)
c. Offers the strengths of comprehensiveness (in topics) and representativeness of the Part A client population, as well as the ability to look at planning-relevant questions over time
d. Covers NYC and Tri-County PLWHA accessing services
DATA SOURCES FOR INDICATORS (CTD.)
5. The Medical Monitoring Project (MMP)a. Is a serial cross-sectional study (conducted by
NYC DOHMH HEFSP and CDC) of PLWHA in New York City
b. Draws on interviews with persons recruited from HIV medical facilities (including private physicians’ offi ces)
c. Offers the strengths of comprehensiveness (in topics) and the probability sampling method for representativeness of PLWHA engaged in medical care
d. Limited to NYC participants (for the datasets available to NYC DOHMH)
DATA SOURCES FOR INDICATORS (CTD.)
65%
34%
1%
Ryan White
Male FemaleTransgender
DEMOGRAPHICS – PLWHA 2010
71%
29%
EMA
Male Female
51%35%
9%
1% 4%
Ryan WhiteBlack Hispanic White AsianOther
45%
33%
21%2% 1%
EMA
Black Hispanic WhiteAsian Other
DEMOGRAPHICS – PLWHA 2010
9%
50%
42%
EMA
< 30 Years 30-49 Years50+ Years
10%
52%
38%
Ryan White
< 30 Years 30-49 Years50+ Years
DEMOGRAPHICS – PLWHA 2010
29%
27%25%
6%9% 4%
Ryan WhiteBronx Brooklyn Manhattan OtherQueens Staten Island
21%
25%30%
9%
14% 2%
EMABronx Brooklyn Manhattan OtherQueens Staten Island
DEMOGRAPHICS – PLWHA 2010
Objective 1A: To increase the number of individuals receiving voluntary HIV rapid testing across health care and social support service provider settings, by 2010.
GOAL 1: INCREASE THE NUMBER OF INDIVIDUALS WHO ARE AWARE OF THEIR
HIV STATUS
Ryan White Indicator EMA Indicator
A 15% increase from baseline in the annual total number of unique individuals receiving an HIV rapid test through a Ryan White-funded program.
A 40% increase from baseline in the total number of HIV rapid tests conducted annually.
2008 2009 2010 2011 -
20,000 40,000 60,000 80,000
36,000 58,554 59,845
41,400
2009-2012 Plan Actual 2009-2012 Plan Target
15%
2008 2009 2010 2011 -
100,000
200,000
300,000
400,000
245,490 290,011 270,254
343,686 2009-2012 Plan Actual 2009-2012 Plan Target
40 %
EMA-wide: Analyses indicate a slight reduction in HIV testing EMA-wide from 2009 to 2010, but still an overall increase since 2008.
Ryan White Part A: The number of clients receiving rapid tests climbed from 2008 to 2010 (mostly from 2008 to 2009, with new programs).
Objective 1A: HIV Status
Objective 1B: To decrease delayed diagnosis of HIV, by the end of 2012.
GOAL 1: INCREASE THE NUMBER OF INDIVIDUALS WHO ARE AWARE OF THEIR
HIV STATUS
Ryan White Indicator EMA Indicator
A 12% reduction in the proportion of newly diagnosed Ryan White clients who have a concurrent AIDS diagnosis.
A 12% reduction in the proportion of new/incident HIV diagnoses that are concurrent with AIDS diagnoses.
2008 2009 2010 20110%
20%40%60%80%
100%
23% 31% 28% 0.202136
2009-2012 Plan Actual 2009-2012 Plan Projection
12 %
2008 2009 2010 20110%
20%40%60%80%
100%
23% 23% 22% 20%
2009-2012 Plan Actual 2009-2012 Plan Projection
12 %
Ryan White Part A: Estimates show reduced concurrency for 2009-10, but 2010 concurrency remained higher than in 2008.
EMA-wide: NYC estimates for concurrency are gradually moving in the right direction.
Objective 1B: Concurrent Diagnosis
Female Male <30 30-49 50+ Black Hispanic White Other DPHO Non-DPHO Missing*GENDER AGE GROUP RACE/ETHNICITY LOCATION
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
20%25%
21%25%
21%17%
24%
56%
33%
20%24%
38%
29%32%
14%
37% 38%34%
24%
38%
50%
33%28%
67%
25%29%
22% 24%
43%40%
16%
8%
22%
33%25%
0%
Objective 4a: Ryan White - Concurrent Diagnosis
2008 2009 2010 2010 Actual for Ryan WhiteYear:
Female Male <30 30-49 50+ Black Hispanic White Other DPHO Non-DPHOGENDER AGE GROUP RACE/ETHNICITY LOCATION
0%10%20%30%40%50%60%70%80%90%
100%
25% 25%
14%
27%
37%
25% 26%18%
26% 25% 26%23% 24%
12%
26%
39%
25% 24%18%
26% 24% 23%23% 21%
12%
23%
37%
23% 21% 19%23% 22% 22%
Objective 4a: EMA -Concurrent Diagnosis
2008 2009 2010Year: 2010 Actual for EMA
Female Part A clients appeared to have lower concurrency, but no gender disparity appeared for NYC overall.
In Part A and NYC overall, older age groups experienced higher (worse) levels of concurrency.
In NYC, newly diagnosed whites had lower (better) levels of concurrency than newly diagnosed individuals in other racial/ethnic groups. For Part A, this difference only appeared for 2010.
There were no consistent DPHO vs. non-DPHO area of residence diff erences for NYC overall or Ryan White.
SUMMARY – CONCURRENCY DISPARITIES
Objective 2A: To increase the number of newly diagnosed individuals who enter into primary care within three months of HIV diagnosis, by 2011.
GOAL 2: PROMOTE EARLY ENTRY INTO AND CONTINUITY OF HIV CARE
Ryan White Indicator EMA Indicator
An 8% increase in the proportion of newly diagnosed clients who show evidence of accessing primary care within three months of HIV diagnosis.
A 5% increase in the proportion of newly diagnosed individuals who show evidence of accessing primary care within three months of HIV diagnosis.
2008 2009 2010 20110%
20%40%60%80%
100%71% 69% 78%
0.76734
2009-2012 Plan Actual 2009-2012 Plan Target
8%
2008 2009 2010 20110%
20%40%60%80%
100%70% 71% 71% 0.735
2009-2012 Plan Actual 2009-2012 Plan Target
5%
EMA-wide: NYC estimates for linkage are gradually moving in the right direction.
Ryan White Part A: Estimates show increased prompt linkage from 2009-2010.
Objective 2A: Linkage to Care
Female Male <30 30-49 50+ Black Hispanic White Other DPHO Non-DPHO Missing*GENDER AGE GROUP RACE/ETHNICITY LOCATION
0%10%20%30%40%50%60%70%80%90%
100%
73% 70%78%
66%74%
65%80% 75% 75% 71% 70%
80%73% 66% 63% 67%80%
66% 69%80%
100%
68% 70%
0%
86%75% 79% 78% 77% 80% 78%
67%
86% 79% 78% 71%
Objective 4B: Ryan White - Linkage to Care2008 2009 2010 2010 Actual for Ryan WhiteYear:
Female Male <30 30-49 50+ Black Hispanic White Other DPHO Non-DPHOGENDER AGE GROUP RACE/ETHNICITY LOCATION
0%10%20%30%40%50%60%70%80%90%
100%
73% 69% 72% 69% 69% 67% 71% 78% 72% 70% 71%75% 70% 70% 74% 68% 67% 73% 80% 75% 71% 71%75% 70% 70% 72% 74% 68% 73% 76%85%
72% 71%
Obective 4B: EMA -Linkage to Care2008 2009 2010 2010 Actual for EMAYear:
Female Part A clients and females in NYC overall appeared to do better on linkage. Results for NYC males increased slightly from 2008-2009
and held steady from 2009-2010. No clear age pattern emerged; in NYC overall, a higher
percentage of diagnoses among the 50+ led to prompt linkage in 2010, but those 30-49 fared best in 2009, and those <30 in 2008.
NYC data overall showed prompt linkage most often among white and “other” racial/ethnic groups, followed by Hispanic and then black newly diagnosed individuals. This pattern loosely fi t 2009 Part A, but did not apply to
2008 and 2010. (Caution: small N!) There were no consistent DPHO vs. non-DPHO diff erences
for NYC overall, except that non-DPHO-area residents stayed at 71% linkage all three years, while DPHO-area residents climbed from 70-72%.
SUMMARY – LINKAGE DISPARITIES
Objective 2B: To increase retention in HIV care and treatment, by 2011.
GOAL 2: PROMOTE EARLY ENTRY INTO AND CONTINUITY OF HIV CARE
Ryan White Indicator EMA Indicator
A 30% decrease in the proportion of clients who show a gap in primary care of 4 months or longer, at any time in the 12-month period –
A 20% decrease in the proportion of PLWHA in the EMA who show a gap in primary care of 4 months or longer, at any time in the most recent 12-month period –
2008 2009 2010 20110%
20%40%60%80%
100% 74% 76% 76% 0.78
EMA-wide2009-2012 Plan Actual 2009-2012 Plan Target
20%
7 %
2008 2009 2010 20110%
20%40%60%80%
100%57% 67% 62% 0.6954
Ryan White2009-2012 Plan Actual 2009-2012 Plan Target
30 %22 %
Objective 2B: Retention in Care Primary care retention increased from 2008-09 (EMA-wide and
Part A*), but then leveled EMA-wide and decreased slightly in Part A.*Part A provider reporting underestimates primary care visits experienced.
Fem
ale
Male
Tra
ns-
gen
der
<3
0
30
-49
50
+
Bla
ck
His
pan
ic
Wh
ite
Oth
er
DPH
O
Non
-D
PH
O
Mis
sin
g*
GENDER AGE GROUP RACE/ETHNICITY LOCATION
0%10%20%30%40%50%60%70%80%90%
100%
55% 57%48% 51% 56% 56% 55% 59% 60%
46%56% 56% 58%
67% 67%52%
73% 65% 68% 67% 66% 62% 69% 67% 67% 67%66% 60%46%
76%62% 59% 67% 61% 57%
47%68%
58%35%
Objective 4C: Ryan White - Retention in Care
2008 2009 20102010 Actual for Ryan WhiteYear:
Female Male <30 30-49 50+ Black Hispanic White Other DPHO Non-DPHOGENDER AGE GROUP RACE/ETHNICITY LOCATION
0%10%20%30%40%50%60%70%80%90%
100%
75% 74% 67% 73% 78% 73% 78% 72% 76% 76% 73%78% 75% 72% 74% 80% 75% 80% 72% 77% 78% 75%77% 75% 70% 74% 80% 75% 79% 72% 75% 78% 75%
Objective 4C: EMA -Retention in Care
2008 2009 2010Year: 2010 Actual for EMA
In NYC overall, female PLWHA had slightly higher retention in care in 2008-10.Part A data suggest, if anything, better retention among females
in 2010 (and lowest among transgender clients, but the number of transgender-identifi ed clients is quite small).
Retention in care increased with age among PLWHA in NYC.For Part A, though, 2009 and 2010 seemed to show a marked
increase from 2008 in retention among clients <30, and younger age groups appeared to have higher retention in 2010 (the reverse of the NYC result).
Hispanic PLWHA in NYC had the highest retention in care, followed by “other,” black, and fi nally white PLWHA. Racial/ethnic patterns were less clear for Part A clients, but black
and Hispanic clients appeared to have higher retention than white clients in 2009-2010.
DPHO-area PLWHA showed greater retention in care each year than non-DPHO-area PLWHA in NYC, though both groups experienced increased retention from 2008-2009 (and then leveled off ). No clear DPHO/non-DPHO pattern applied to Part A, but DPHO-area
clients appeared to have better retention in 2010.
SUMMARY – RETENTION DISPARITIES
Objective 3A: To improve medication adherence to a rate of 95%, by 2011.
GOAL 3: PROMOTE OPTIMAL MANAGEMENT OF HIV INFECTION.
Ryan White Indicator EMA Indicator
Achievement of 95% or greater medication adherence among 66% of MCM clients, meeting minimum program and treatment criteria.
Achievement of 95% or greater medication adherence among 50% of PLWHA on ARVs at last update.
2008 2009 2010 20110%
40%
80%75% 83%
67% 60% 75%
66%
2009-2012 Plan CHAIN Actual 2009-2012 Plan Target2009-2012 Plan AIRS/eSHARE Actual
2008 2009 2010 20110%
20%40%60%80%
100% 77% 86% 85%
68% 57% 64%50%
2009-2012 Plan CHAIN Actual 2009-2012 Plan Target2009-2012 Plan MMP Actual
EMA-wide: Adherence varied by source, with CHAIN and MMP showing different EMA trends, and CHAIN finding higher percentages achieving optimal levels (≥95%).
Ryan White Part A: Adherence remained relatively high in CHAIN* (75-83%), but Part A providers reported under 70% achieving optimal levels (≥95%) in 2008-09, followed by 75% in 2010.
* Filtered to MCM clients at Part A agencies
Objective 3A: ART Adherence
Objective 3B: To increase viral suppression, by 2011.
GOAL 3: PROMOTE OPTIMAL MANAGEMENT OF HIV INFECTION.
Ryan White Indicator EMA Indicator
A 20% increase in the proportion of MCM clients who have viral loads documented as counts below 400 or as “undetectable” viral load (no count), among those with documented viral loads in the period, and meeting minimum expectations for program engagement.
A 15% increase in the proportion of PLWHA in the EMA who have viral loads documented as counts below 400 or as “undetectable” viral load (no count), among all those with documented viral loads in the period.
2008 2009 2010 20110%
20%40%60%80%
100%
69% 71%55%
83%70% 70% 65%
2009-2012 Plan Actual-MCM Programs Only 2009-2012 Plan Target2010 Actual- All Ryan White Programs
20 %
2008 2009 2010 20110%
50%
100%
62% 66% 70%
0.713
2009-2012 Plan Actual 2009-2012 Plan Target
15 %
EMA-wide: Sustained viral suppression has been achieved by a higher percentage of PLWHA in the EMA each year since 2008 (62%), and reached 70% in 2010.
Ryan White Part A: Data showed a slight increase in sustained viral suppression 2008-2009, but a decrease in 2010. Part A overall results (65%) exceeded Part A MCM (55%) for 2010.
Objective 3B: Ryan White Viral Load Suppression
Fem
ale
Male
Tra
ns-
gen
der
<3
0
30
-49
50
+
Bla
ck
His
pan
ic
Wh
ite
Oth
er
DPH
O
Non
-D
PH
O
Mis
sin
g*
GENDER AGE GROUP RACE/ETHNICITY LOCATION
0%10%20%30%40%50%60%70%80%90%
100%
72% 68% 68% 65% 65%75% 69% 71% 64% 69% 69% 70% 65%71% 69% 65% 58% 66%
77%67% 72% 73% 68% 67% 71% 74%69% 63%
51% 56% 63% 72% 64% 66% 72% 67% 62% 68% 67%
Objective 4D: Ryan White - Viral Load Suppression
2008 2009 2010 2010 Actual for Ryan WhiteYear:
Female Male <30 30-49 50+ Black Hispanic White Other DPHO Non-DPHOGENDER AGE GROUP RACE/ETHNICITY LOCATION
0%10%20%30%40%50%60%70%80%90%
100%
59% 64%43%
60%71%
58% 62%72% 70%
57% 65%63% 67%48%
63%74%
61% 65%77% 76%
60%69%67% 72%
52%68% 78%
66% 70%82% 79%
64% 73%
Objective 4D: EMA - Viral Load Suppression
2008 2009 2010Year: 2010 Actual for EMA
In NYC, male PLWHA more often had viral suppression.In Part A, females more often showed viral
suppression than male or transgender clients. (Caution: small transgender N!)
Viral suppression increased with age among PLWHA in NYC and Part A clients (except for apparently equal proportions in clients <30 and those 30-49 in 2008).
White PLWHA in NYC were most often virally suppressed, followed by “other,” Hispanic, and finally black PLWHA. There was no clear pattern for Part A clients, though
the same order (between white, Hispanic and black individuals) seemed to apply for 2009-2010 only.
Each year, non-DPHO-area PLWHA more often had sustained suppression than DPHO-area PLWHA (in NYC and Part A).
SUMMARY – VIRAL LOAD SUPPRESSION DISPARITIES
Objective 3C: To improve immunological health (e.g., CD4 count), by 2011.
GOAL 3: PROMOTE OPTIMAL MANAGEMENT OF HIV INFECTION.
Ryan White Indicator EMA Indicator
A 20% increase in the proportion of MCM clients whose CD4 counts either remain stable or improve during the period, and meeting minimum expectations for program engagement.
A 15% increase in the proportion of PLWHA in the EMA whose CD4 counts either remain stable or improve during the period.
2008 2009 2010 20110%
20%40%60%80%
100%
82% 84%71%
0.987122009-2012 Plan Actual 2009-2012 Plan Projection
20 %
2008 2009 2010 20110%
20%40%60%80%
100%
79% 82% 84%
0.90852009-2012 Plan Actual 2009-2012 Plan Projection
15%
EMA-wide: PLWHA in the EMA with stable/improving CD4 steadily increased each year.
Ryan White Part A: As with viral suppression, this clinical indicator showed an increase from 2008-09 and a drop in 2010.
Objective 3C: Immunological Health
Objective 3D: To decrease HIV-related hospitalizations of PLWHA by 2011.
GOAL 3: PROMOTE OPTIMAL MANAGEMENT OF HIV INFECTION.
Ryan White Indicator EMA Indicator
- A 25% decrease in the mean number of hospitalizations experienced annually per MCM client, AND/OR
- A 25% decrease in the proportion of MCM clients who have more than one hospitalization within a 12-month period.
- A 15% decrease in the mean number of hospitalizations experienced annually per PLWHA, AND/OR
- A 15% decrease in the proportion of PLWHA who have more than one hospitalization within a 12-month period.
2008 2009 2010 20110%
20%40%60%80%
100%
4% 5%5%
0.03075
Objective 3D: Ryan White Hospitalizations >12009-2012 Plan CHAIN Actual 2009-2012 Plan Target2009-2012 Plan AIRS/eSHARE Actual
25 %
2008 2009 2010 20110.000.200.400.600.801.00
0.22 0.28 0.320.16
Objective 3D: Ryan White Hospitalizations - Average2009-2012 Plan CHAIN Actual 2009-2012 Plan Target2009-2012 Plan AIRS/eSHARE Actual
25 %
2008 2009 2010 20110%
20%40%60%80%
100%
5% 5% 5%4% 3% 2% 4%
Objective 3D: EMA Hospitalizations >12009-2012 Plan CHAIN Actual 2009-2012 Target2009-2012 Plan MMP Actual
15 %
2008 2009 2010 20110.00
0.50
1.00
0.26 0.26 0.22
0.20 0.15
0.22
Objective 3D: EMA Hospitalizations- Average2009-2012 Plan CHAIN Actual 2009-2012 Target 2009-2012 Plan MMP Actual
15 %
Objective 2C: To decrease visits to emergency departments (ED), by 2011.
GOAL 2: PROMOTE EARLY ENTRY INTO AND CONTINUITY OF HIV CARE
Ryan White Indicator EMA Indicator
- A 10% decrease in the mean number of ED visits experienced annually per MCM client, AND/OR
- A 10% decrease in the proportion of MCM clients who have more than one ED visit within a 12-month period.
- A 5% decrease in the mean number of ED visits experienced annually per PLWHA, AND/OR
- A 5% decrease in the proportion of PLWHA who have more than one ED visit within a 12-month period.
2008 2009 2010 20110%
20%40%60%80%
100%
10% 8% 0.0556 0.09
Objective 2C: Ryan White Emergency Department Visits >12009-2012 Plan CHAIN Actual 2009-2012 Plan Target2009-2012 Plan AIRS/eSHARE Actual
2008 2009 2010 20110.00
0.20
0.40
0.60
0.80
1.00
0.54 0.47
0.29
0.4824
Objective 2C: Ryan White Emergency Department Visits - Average2009-2012 Plan CHAIN Actual 2009-2012 Plan Target2009-2012 Plan AIRS/eSHARE Actual
10%
1
0%
2008 2009 2010 20110%
20%40%60%80%
100%
7% 8%8%
6% 3%8%
Objective 2C: EMA Emergency Department Visits >12009-2012 Plan CHAIN Actual 2009-2012 Plan Target2009-2012 Plan MMP Actual
2008 2009 2010 20110.00
0.20
0.40
0.60
0.80
1.00
0.48 0.42 0.37
0.260.16
0.45
Objective 2C: EMA Emergency Department Visits - Average2009-2012 Plan CHAIN Actual 2009-2012 Plan Target2009-2012 Plan MMP Actual
5%
5
%
Part A acute care utilization did not show a clear trend (if anything, a slight increase in hospitalizations but decrease in ED visits), but the source changed in 2010 (from filtered CHAIN interviews eSHARE reporting).
For the EMA, a slight downward trend in acute care utilization appears for MMP, alongside a stable or slight downward trend for CHAIN, depending on the measure (% with >1 event vs. mean #).
SUMMARY – ACUTE CARE UTILIZATION
Building on a prior consultant’s report with recommendations and the Planning Council feedback from mid-2011, we have:
Contracted with a consultant from the New York University Medical Center to conduct preliminary modeling of the local Ryan White Part A portfolio
Developed a plan for feasible and progressive cost and outcome analyses for the next 3 years that will inform planning discussions
Identified next steps for more program-specific modeling eff orts once additional data are available via eSHARE
Begun drafting a fuller presentation on these eff orts, to be shared with specifi c Planning Council committees soon
GOAL 5: ECONOMIC EVALUATION OF RYAN WHITE PART A SERVICES
HIGHLIGHTS FROM 2008-2010 RESULTS
Ryan White testing programs substantially exceeded targets by 2009, and approximately 60,000 individuals were rapid-tested in 2010. Citywide testing remained below targets.
Concurrency was slightly reduced Citywide (to 22%); subgroup analyses suggest delayed diagnosis among older New Yorkers.
Linkage was slightly improved Citywide (to 71%); subgroup analyses showed traditional racial/ethnic disparities in NYC.
Citywide retention in care moved upward and then leveled at 76%, not yet at the 78% target; subgroup analyses suggest non-traditional disparities, with better retention among female, DPHO-residing, older and nonwhite PLWHA.
Citywide and in Ryan White MCM, percentages with optimal adherence exceeded the targets. (Note: low targets @ 50-66%)
Viral suppression nearly reached the 71% target Citywide; subgroup results reflect traditional health disparities, except that suppression (like retention in care) did increase with age.
PLWHA with CD4 stability/improvement increased each year Citywide, reaching 84% in 2010. Targets for this were set high, at 91% for the EMA and 99% for Ryan White. (Note: baselines were unknown when the 2009-12 Plan was drafted)
Citywide and Part A results (from diff erent data sources) have generally met or improved upon targets for reducing acute care reliance, with the exception of Ryan White hospitalizations (still appearing a bit above targeted levels).
HIGHLIGHTS FROM 2008-2010 RESULTS (CTD.)
Questions?
THANK YOU!
Local data sources listing and comparison of strengths
Approaches to measurement of disparities and their reduction
Ways of honoring the Comprehensive Strategic Plan as a “living document” – how to integrate changes in the policy and practice landscape, and changes in the data we receive
When to ‘drop’ an indicator (or do you just keep adding?)
Uses of Comprehensive Strategic Plan throughout the year
WORKSHOP EXERCISES
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