ZAF_2015-2018_SAGIE_v01_M DDI_ZAF_2015-2018_SAGIE_v01_M Development Economics Data Group 2019-09-10 Nesstar Publisher Version 01 (September 2019) SAGIE 2015-2018 ZAF_2015-2018_SAGIE_v01_M South Africa National Department of Health National Health Laboratory Service, Johannesburg, South Africa World Bank Boston University School of Public Health Dr. Sergio Carmona Ms. Mokgadi Phokojoe Dr. Tshepo Molapo Dr. Yogan Pillay Matthew Fox Sydney Rosen Amy N. Huber Joshua Murphy Sophie J.S. Pascoe Marelize Gorgens Nicole Fraser-Hurt Zara Shubber David Wilson 2019, The World Bank Nesstar Publisher World Bank Government of South Africa National Institutes of Health Fogarty International Center Marelize Gorgens 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. Data harvested from multiple routine data systems were combined, cleaned and quality-checked to produce this final version. 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. South Africa Provinces of Gauteng, KwaZulu Natal, Limpopo and North West HIV Patient HIV cases eligible to initiate antiretroviral treatment based on South African clinical guidelines Clinical data [cli] Health Economics and Epidemiology Research Office Other [oth] 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. 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. 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. 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. 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. 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] The anonymized microdata set excluding individual patient viral load and CD4 count test results is available for public use. 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. JIAS_ENHANCE_FTIC_Data_4Sept19_deidentified_stata11.NSDstat Evaluation of adherence guidelines - FTIC short and long-term outcomes 730 10 Nesstar 200801 Unique (deidentified) ID 730 0 10001 1 10002 1 10003 1 10004 1 10005 1 10006 1 10007 1 10008 1 10009 1 10010 1 10011 1 10012 1 10013 1 10014 1 10015 1 10016 1 10017 1 10018 1 10019 1 10020 1 10021 1 10022 1 10023 1 10024 1 10025 1 10026 1 10027 1 10028 1 10029 1 10030 1 10031 1 10032 1 10033 1 10034 1 10035 1 10036 1 10037 1 10038 1 10039 1 10040 1 10041 1 10042 1 10043 1 10044 1 10045 1 10046 1 10047 1 10048 1 10049 1 10050 1 10051 1 10052 1 10053 1 10054 1 10055 1 10056 1 10057 1 10058 1 10059 1 10060 1 10061 1 10062 1 10063 1 10064 1 10065 1 10066 1 10067 1 10068 1 10069 1 10070 1 10071 1 10072 1 10073 1 10074 1 10075 1 10076 1 10077 1 10078 1 10079 1 10080 1 10081 1 10082 1 10083 1 10084 1 10085 1 10086 1 10087 1 10088 1 10089 1 10090 1 10091 1 10092 1 10093 1 10094 1 10095 1 10096 1 10097 1 10098 1 10099 1 10100 1 10101 1 10102 1 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10728 1 10729 1 10730 1 Cohort 730 0 1 1 1 FTIC 730 Facility by province 730 0 1 24 1 GP Site 1 28 2 GP Site 4 29 3 GP Site 2 30 4 GP Site 5 30 5 GP Site 3 28 6 GP Site 6 30 7 LP Site 1 30 8 LP Site 4 35 9 LP Site 2 29 10 LP Site 5 29 11 LP Site 3 26 12 LP Site 6 30 13 NW Site 1 32 14 NW Site 4 30 15 NW Site 2 31 16 NW Site 5 30 17 NW Site 3 30 18 NW Site 6 29 19 KZN Site 1 33 20 KZN Site 4 34 21 KZN Site 2 35 22 KZN Site 5 32 23 KZN Site 3 30 24 KZN Site 6 30 Intervention/control status 730 0 0 1 0 Control 368 1 Intervention 362 Gender 730 0 1 2 1 Female 426 2 Male 304 Age category 730 0 1 4 1 18-29 182 2 30-39 290 3 40-49 162 4 50+ 96 TB diagnosis at baseline 729 1 0 0 0 No 729 1 Yes 0 Sysmiss 1 Short term outcome (ART initiation within 30 days) 728 2 1 2 1 Initiated <= 30 days 601 2 No initiation w/in 30 days 127 Sysmiss 2 Retention outcome at 6 months 727 3 1 4 1 Alive&InCare 525 2 Death 9 3 TransferOut 37 4 LTFU 156 5 Pregnant 0 Sysmiss 3 Retention outcome at 12 months 727 3 1 4 1 Alive&InCare 494 2 Death 10 3 TransferOut 42 4 LTFU 181 5 Pregnant 0 Sysmiss 3