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Zimbabwe DSD Performance Review, June 2019
Dr. Clorata Gwanzura
Differentiated Care Medical Officer
Zimbabwe Ministry of Health and Child Care
13 November 2019
The CQUIN ProjectThe CQUIN ProjectThe CQUIN Project
Background and Approach
Overview of key results
Summary, lessons learned, and future steps
Overview
Annual Cross-sectional data collection for Facility
Coverage
Sampling method for client uptake and coverage: Semi-
annually
Comprehensive collection for Facility and Client Uptake
and Coverage: Quarterly
Electronic system for collection of Uptake,
Coverage and Outcome Indicators: Quarterly Analysis,
2020
M and E Plan
Background
• Implementation of Review meetings part of the DSD
M and E Plan• Method of data collection also earmarked for reporting in
non-partner supported districts
• The MOHCC and its stakeholders i.e. implementing
partners, and the ICAP CQUIN team developed
objectives of review
• Provincial teams from Mash West, Mat South and
Mat North were engaged to guide the planning and
implementation of the review
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Approach: Population
• 17 districts across the 4 provinces were identified for inclusion• 73 facilities were selected for data
collection• 2 facilities failed to do/complete data collection
• Selected via stratified random sampling • All districts in 2 provinces, 5 facilities in each
provinces (District hospital, 2high volume sites, 2 low volume sites)
• Selected districts and facilities (total of 3) in 2 provinces
• Two patient cohorts: 12 and 24 months on ART
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• Data collection via abstraction of patient data from facilities• Patient ART booklet main data source with additional data sources in some
cases – pragmatic approach
• Standardized data entry form in MS Excel
• Data collection supervised by district teams
Approach: Data collection
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• Convened a 3-day meeting to review results• District, Provincial, and National MOHCC teams; PEPFAR implementing partners
• Provincial overview presentations and discussions led by province teams
• District-level presentations and discussions led by district teams
Approach: Sharing and discussion of results
Key Results
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Numbers of Patients, by Province and District
Number of patients, by province and
district, both cohorts combinedn (%)
Mashonaland West 1188Chegutu 182 (15%)
Hurungwe 149 (13%)
Kariba 138 (12%)
Makonde 181 (15%)
MhondoroNgezi 181 (15%)
Sanyati 172 (14%)
Zvimba 185 (16%)
Matabeleland North 76Bubi 42 (55%)
Umguza 34 (45%)
Matabeleland South 1310Beitbridge 305 (23%)
Bulilima 165 (13%)
Gwanda 168 (13%)
Insiza 184 (14%)
Mangwe 170 (13%)
Matobo 153 (12%)
Umzingwane 165 (13%)
Total 2574
Mashonaland West1188(46%)
Matabeleland North
76(3%)
Matabeleland South1310(51%)
Number of patients, by provinceBoth cohorts combined (N=2574)
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1306
1114
607
415
131
1268
1081
474
289
760
200
400
600
800
1000
1200
1400
Initiated on ART Active on ART Received VL TestWithin 12 Months
Suppressed ViralLoad
Enrolled in Non-Mainstream Model*
24 month 12 month
*For all clients active on ART and with documented VLS 9
Overall Modified HIV Care Cascade, by cohort
32% of patients with VLS
26% of patients with VLS
85% 85%
46%
37%32%
23%
10%6%
54% of active patients
44% of active patients
68% of patients with a VL
test
61% of patients with a VL
test
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90%
82%
71%
42% 42%38%
25%30% 32%
8% 7%
25%
0%
20%
40%
60%
80%
100%
MashWest(n=1188)
MatSouth(n=1310)
MatNorth(n=76)
Active on ART Received VL Test Within 12 Months
Suppressed Viral Load Enrolled in Non-Mainstream Model*10
Provincial Modified HIV Care Cascades12- and 24-month cohorts, combined
79% of patients with VLS25% of
patients with VLS
*For all clients active on ART and with documented VLS
31% of patients with VLS
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Overall DSD CoverageAll patients active on ART - 12 and 24 month cohorts combined (n=2148)
1573(73%)
97(4%)
103(5%)
144(7%)
226(11%)
5(0%)
Conventional Care
CARG
Facility Club (+CATS)
Family Refill
Fast Track
Outreach
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DSD Coverage by ProvinceAll patients active on ART - 12 and 24 month cohorts combined
71%
39%
77%
6%
2%
3%
4%
6%
6%
9%
33%
3%
10%
20%
10%
MashWest(n=1017)
MatNorth(n=54)
MatSouth(n=1077)
Conventional Care CARG Facility Club (+CATS)
Family Refill Fast Track Outreach
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
24 month* 12 month**Not eligible no DSD Unknown Eligibility no DSD Eligible no DSD Not eligible + DSD Unknown Eligibility + DSD Eligible + DSD
Appropriate
Missed Opportunity
Inappropriate
Appropriate
14
Overall Fidelity of DSD Enrollment, by cohort
For clients active on ART, where eligibility is defined as a either 1) a VL test ≤12 months ago and a result of <1000 copies or 2) a CD4 test ≤
12 months ago and a result of 200+, as well as an absence of any OIs or TB
*Excludes 19 individuals for missing information **Excludes 28 individuals for missing information
Unknown
Unknown
(N=1095) (N=1053)
132 (12%)
173 (16%)
16 (1%)
292 (27%)
452 (41%)
30 (3%)
86 (8%)
155 (15%)
557 (53%)
13 (1%)
199 (19%)
43 (4%)
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Model Switch: Current ART model and 12 months prior Among 24 month cohort patients
CARG
Conventional Model
Facility Club (+CATS Model)
Family Refill
Model
Fast Track
Outreach
19
797
45
42
46
1
53
670
53
77
108
1
Current Model,
May 2019
Prior Model,
May 2018
*All clients active on ART (combined cohorts, regardless of VLS)
The CQUIN ProjectThe CQUIN ProjectThe CQUIN Project *All clients active on ART (combined cohorts, regardless of VLS) 16
Numbers of clinical visits and ART pickups per year,
conventional model vs. DSD models
Yearly number of clinical visits per person, by model type
Yearly number of ART pickups per person, by model type
25%
29%
25%
20%23%
30%26%
22%
0%
5%
10%
15%
20%
25%
30%
35%
1-2 3-4 5-6 7+
Number of clinic visits
Conventional % DSD %
11%
36%
28%24%
7%
55%
21%18%
0%
10%
20%
30%
40%
50%
60%
1-2 3-4 5-6 7+
Number of ART pickups
Conventional % DSD %
Post-hoc assessment of DSD model uptake by sex: DSD Performance Review
Question: Are women more likely than men to enroll in DSD models providing less-intensive services?
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Current ART model coverage, by sex (May 2019)DSD Performance Review, 70 facilities in 3 provinces
The CQUIN Learning Network
Source: Zimbabwe Ministry of Health and Child Care
11%
4%
8%
5%
72%
Men
Fast Track
Facility Club
Family Refill
CARG
Conventional ART
10%
5%
6%
4%
74%
Women
DSD uptake and model of choice was similar for men and women (n=2,148)
Note: Patients receiving MMS/MMD but not other DSD model features are classified within Conventional ART group
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• 85% ART patients were retained at 12 and 24 months after initiation; overall, 27% of these pts were enrolled in a DSD ART model• In the post-hoc analysis, we saw no clear differences in DSD enrollment by sex
• About 50% of retained patients had a VL test within the past 12 mos; approx. 65% of these pts had documented VLS
• Roughly 30% of patients with VLS were in a DSD model
• Fast track and family refill were the most common DSD models overall, though popularity of models varied across provinces and districts
Summary of Key Results (1)
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• Fidelity of DSD model enrollment criteria was low; a small % of ART patients had a VL result and were enrolled in the expected ART model based on results
•Model switch was common across the past year among the 24-month cohort patients• Most common was switch from conventional model, though switch between DSD models
also occurred
• A lower % of patients in DSD models (39%) than in the conventional model (52%) had 5+ ART pickups over the past year• The number of clinical visits did not differ across DSD vs. conventional models
Summary of Key Results (2)
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•Data provided helpful insights on DSD implementation• Extensive participation in discussions by facility and district teams
• Support for DSD scale-up can be targeted using these findings• Increase uptake and coverage in priority DSD models
• Improve VL testing coverage and fidelity of implementation
• Eligibility/enrollment, and appointment/ART pickup spacing
• Monitor and manage DSD model switch
• Steps can be taken to improve data review process as well as data quality
Lessons Learned and Next Steps
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• Strengthen data collection process• Provide a more detailed job aid on indicators collected
• Ensure rigorous supervision, e.g., through daily review and sign-off on data collection sheets
• Ensure adequate resources are available for data cleaning, analysis, and development of slides
• Ask districts and regions to develop structured Action Plans based on results• Develop strategy for following up on Action Plan progress
Recommendations for Future Performance Reviews
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•Ministry of Health and Child Care • ATP
• Provincial and District Teams
• I-tech, OPHID, ICAP
•CQUIN TA Team
•DSD TWG Stakeholders
Acknowledgements