Adherence Guideline Impact Evaluation - Effectiveness of Fast-track Treatment Initiation Counselling 2015-2018
South Africa, 2012 - 2018
South Africa National Department of Health, National Health Laboratory Service, Johannesburg, South Africa, World Bank, Boston University School of Public Health
Identification
IDNO
ZAF_2015-2018_SAGIE_v01_M
Title
Adherence Guideline Impact Evaluation - Effectiveness of Fast-track Treatment Initiation Counselling 2015-2018
Countries
| Name | Code |
|---|---|
| South Africa | ZAF |
Study notes
The dataset contains core data on HIV patients who were eligible for fast-track treatment initiation counselling (FTIC) in the Adherence Guidelines evaluation of the South Africa Department of Health and The World Bank. This evaluation's purpose was to assess the effectiveness of five interventions recommended by the Adherence Guidelines by looking at short-term and final outcome results. This data set includes data from the fast-track treatment initiation counselling intervention. The objective was to determine if fast-track treatment initiation counselling improved treatment initiation one month after eligibility, and viral suppression during patient follow-up. There were 12 intervention clinics and 12 control clinics providing the prevailing standard of care. The patients were enrolled from routine data bases into the evaluation without patient contact. The patient-level data include the enrolment clinic, intervention arm, age group, and whether the patient had a diagnosis of tuberculosis at cohort enrolment. The datafile also provides the short-term and final outcome data for the evaluation of FTIC effectiveness. The datafile supports an academic publication on the evaluation.
Kind of data
Clinical data [cli]
Version
Version
Version 2.1: Edited, anonymized dataset excluding individual patient viral load and CD4 count test results. Dataset extracted from routine data systems for public distribution.
Version notes
Data harvested from multiple routine data systems were combined, cleaned and quality-checked to produce this final version.
Coverage
Geographic coverage
Provinces of Gauteng, KwaZulu Natal, Limpopo and North West
Unit of analysis
HIV Patient
Universe
HIV cases eligible to initiate antiretroviral treatment based on South African clinical guidelines
Producers and sponsors
Authoring entity
| Name |
|---|
| South Africa National Department of Health |
| National Health Laboratory Service, Johannesburg, South Africa |
| World Bank |
| Boston University School of Public Health |
Producer(s)
| Name | Affiliation |
|---|---|
| Dr. Sergio Carmona | National Health Laboratory Service, Johannesburg, South Africa |
| Ms. Mokgadi Phokojoe | South Africa National Department of Health |
| Dr. Tshepo Molapo | South Africa National Department of Health |
| Dr. Yogan Pillay | South Africa National Department of Health |
| Matthew Fox | Boston University School of Public Health |
| Sydney Rosen | Boston University School of Public Health |
| Amy N. Huber | HE2RO (Health Economics and Epidemiology Research Office) |
| Joshua Murphy | HE2RO (Health Economics and Epidemiology Research Office) |
| Sophie J.S. Pascoe | HE2RO (Health Economics and Epidemiology Research Office) |
| Marelize Gorgens | World Bank |
| Nicole Fraser-Hurt | World Bank |
| Zara Shubber | World Bank |
| David Wilson | World Bank |
Funding agencies
| Name | Role |
|---|---|
| World Bank | Funding for data collection, cleaning and analysis components |
| Government of South Africa | Funding for implementation of the adherence interventions |
| National Institutes of Health Fogarty International Center | Funding data analyst time |
Sampling
Sampling procedure
The sample size was 730 patients, slightly higher than the target sample size of 720 to allow for missing data. The RapIT study of rapid ART initiation conducted in Gauteng Province PHC clinics, found that about 60% of ART-eligible patients initiated under standard care within 30 days. Conservatively assuming 60% initiation without the intervention and 75% with the intervention, about 30 subjects in each of the 24 clusters were required to detect a difference of 15%. Sample sizes were determined using PASS software for cluster-randomised designs. Each sample size was determined to measure the short-term outcome and calculations assumed a site-clustered design with the clinic as the cluster and 24 clusters evenly split between intervention and control groups. We assumed power of 80% and an alpha of 0.05. Sample sizes accounted for the cluster-randomised design by assuming a coefficient of variation of 0.1.
Patients eligible for inclusion were aged 18 years or above and patients who were not resident in the facility's catchment area, were recorded as having an intention to transfer care to a different facility within 12 months, or were pregnant and eligible for prevention of mother to child transmission were excluded. The specific inclusion criteria for the Fast-track Treatment Initiation Counseling cohort followed the December 2014 national guidelines for HIV care and ART and July 2016 National Adherence Guidelines for Chronic Disease (HIV, tuberculosis and non-communicable diseases). In order to identify eligible patients to enrol, information recorded on their electronic medical record were consulted. At intervention sites, lists were reviewed against clinic records, registers and other documentation for each intervention to identify eligible patients. At control sites, we reviewed lists against clinic records to confirm eligibility. If the patient file was found and eligibility for a cohort was confirmed then patients were enrolled sequentially until the required sample size was reached for the cohort. Due to delays in electronic data capturing data was not complete. To account for this at some sites, individuals receiving each intervention were identified directly from registers for that intervention.
Clinic files were then reviewed to confirm eligibility and patients were enrolled until the required sample size was achieved. For each patient enrolled, regardless of the method used to identify them, patient files were reviewed and information was extracted using an electronic case report form to confirm patients met all eligibility criteria for the cohort.
Patients eligible for inclusion were aged 18 years or above and patients who were not resident in the facility's catchment area, were recorded as having an intention to transfer care to a different facility within 12 months, or were pregnant and eligible for prevention of mother to child transmission were excluded. The specific inclusion criteria for the Fast-track Treatment Initiation Counseling cohort followed the December 2014 national guidelines for HIV care and ART and July 2016 National Adherence Guidelines for Chronic Disease (HIV, tuberculosis and non-communicable diseases). In order to identify eligible patients to enrol, information recorded on their electronic medical record were consulted. At intervention sites, lists were reviewed against clinic records, registers and other documentation for each intervention to identify eligible patients. At control sites, we reviewed lists against clinic records to confirm eligibility. If the patient file was found and eligibility for a cohort was confirmed then patients were enrolled sequentially until the required sample size was reached for the cohort. Due to delays in electronic data capturing data was not complete. To account for this at some sites, individuals receiving each intervention were identified directly from registers for that intervention.
Clinic files were then reviewed to confirm eligibility and patients were enrolled until the required sample size was achieved. For each patient enrolled, regardless of the method used to identify them, patient files were reviewed and information was extracted using an electronic case report form to confirm patients met all eligibility criteria for the cohort.
Response rate
Two subjects (0.2% of total sample size) do not have outcomes as they were not found in the data base providing viral load results, and the patient files were not able to be located during follow-up data collection.
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2015-01-01 | 2015-12-31 | Pre-intervention data on patients at intervention and control sites |
| 2016-01-08 | 2016-12-07 | Enrollment period - Fast-track treatment initiation counseling |
| 2012-12 | 2018-06 | Follow up data collection 12-18 months after eligibility |
Mode of data collection
Other [oth]
Data collection supervision
In order to ensure study protocols were followed, data collection teams were supervised by a team of three people in the Johannesburg office: a local team leader, a data manager and a research project manager. Their responsibilities included training and oversight, supervision of data collection, meeting with NDOH and local DoH leaders and implementing partners as needed, developing standard operating procedures and oversight of all site level activities. Supervision was implemented through weekly conference calls with all staff members. In terms of communication with sites from the Johannesburg office, the research project manager in collaboration with the local team lead were in contact with all sites on a nearly daily basis to set priorities and troubleshoot stumbling blocks. WhatsApp® groups were utilized as a way for each provincial team to address issues more immediately. A shared calendar was also used to ensure that the management team knew the expected location of the Provincial teams. This could also be monitored through GPS location and tracking included on the tablets used for data collection. Progress was also monitored through regular completion of an electronic status report.
Questionnaires
The Case Report Form was composed of multiple modules, each containing specific data fields. The modules covered identifiers and eligibility (including whether the patient had treatment initiation counselling, how often and of what type, and whether a treatment adherence plan had been developed for the patient), as well as demographics and clinical data.
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| Health Economics and Epidemiology Research Office | HE2RO | University of the Witwatersrand |
Data Processing
Data editing
The HE2RO Johannesburg office study team oversaw the development and management of the database. As needed data was converted to SAS and STATA for cleaning and data analysis. The study team reviewed data files on a monthly basis and returned queries to provincial staff for response. All databases were password protected with access restricted to the members of the study team. A fully de-identified data set will be made available through one or more open access portals when the study is closed.
metadata.study_desc.method.data_collection.method_notes
The team entered all data not captured electronically at the facility onto electronic case report forms on tablets on site, so that we did not need to use paper forms. Once patient data was captured on the tablet, the information was immediately sent to a highly secure cloud server and wiped from the tablet. The data were then downloaded onto secure, protected drives at the local office and at Boston University. All electronic data files were stored on secure, protected drives at the local office and at Boston University, with access limited to relevant study staff.
Data access
Access conditions
The anonymized microdata set excluding individual patient viral load and CD4 count test results is available for public use.
Citation requirements
Carmona, S.(National Health Laboratory Service). Y. Pillay, M. Phokojoe, T. Molapo (South Africa National Department of Health). M. Fox, S. Rosen (Boston University School of Public Health). A.N. Huber, J.Murphy, S.J.S.Pascoe (HE2RO). M.Gorgens, N.Fraser-Hurt, Z. Shubber, D.Wilson (World Bank). South Africa - Adherence Guideline Impact Evaluation : Effectiveness of Fast-track Treatment Initiation Counselling (SAGIE) 2015-2018. Ref. ZAF_2015-2018_SAGIE_v01_M. Downloaded from [url] on [date]
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Copyrights
2019, The World Bank
Contacts
Contact(s)
| Name | Affiliation | |
|---|---|---|
| Marelize Gorgens | World Bank - Health, Nutrition and Population Global Practice | mgorgens@worldbank.org |
Metadata production
IDNo
DDI_ZAF_2015-2018_SAGIE_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
Production date
2019-09-10
Version
Version 01 (September 2019)