DDI_ZAF_2017_SMSTB-RCT_v01_M_WB Development Economics Data Group 2019-03-27 NADA Version 01 (March 2019) SMS Nudges as a Tool to Reduce Tuberculosis Treatment Delay and Pretreatment Loss to Follow-up: A Randomized Controlled Trial 2017-2018 ZAF_2017_SMSTB-RCT_v01_M Adam Wagstaff Ronelle Burger Eddy Van Doorslaer NADA World Bank South Africa Development Fund WHO Strengthening Implementation Grant Erasmus Trust Fund - Research for Health Impact in Africa Abdul Latif Jameel Poverty Action Lab National Research Foundation SA 011.015.10 S004670 S005403 Adam Wagstaff Ronelle Burger Eddy van Doorslaer Other Household Health Survey This is the microdataset used in the paper "SMS nudges as a tool to reduce Tuberculosis treatment delay and pretreatment loss to follow-up. A randomized controlled trial". We fielded two SMS interventions in three Cape Town clinics to see their effects on whether people returned to clinic, and how quickly. One was a simple reminder; the other aimed to overcome “optimism bias” by reminding people TB is curable and many millions die unnecessarily from it. Recruits were randomly assigned at the clinic level to a control group or one of the two SMS groups (1:2:2). In addition to estimating effects on the full sample, we also estimated effects on HIV-positive patients. South Africa 3 clinics in Greater Cape Town Patient Clinical data [cli] The dataset includes: outcomes (whether the patient returned to get their TB test results and if so how quickly); information on demographics, education, housing, family circumstances etc.; intervention group assignment; HIV status; and whether the intervention was delivered correctly (an exclusion variable for the per-protocol analysis). Patients not already being treated for TB arriving in TB waiting rooms of 3 clinics. Aimed to recruit > 90% of new patients over recruitment period. Inclusion criteria: Adult, provided consent, not already on treatment, waiting for a TB test or just had a TB test. Exclusion criteria: Adult, refused consent, already on treatment, not waiting for a TB test or just had a TB test. Recruitment was from 2 October 2017 until 15 December 2017. Fieldworkers continued visiting clinics and phoning patients until mid-February 2018 to collect data on patients’ return-to-clinic date, test results and treatment start date. Computer Assisted Personal Interview [capi] CAPI interview at recruitment was based on a long questionnaire only a few questions from which were used in the present study. The questionnaire is therefore not attached to the current dataset. Initial data collected through CAPI interview at time of recruitment. Data on return-to-clinic date were obtained via fieldworker interactions with returning patients in the TB waiting room, conversations with clinic staff, and where necessary, phone follow-up conversations with patients and inspection of clinic records. HIV status was obtained by matching between our dataset and the PREHMIS and ETR.Net datasets as described in the paper. The data for the exclusion criteria for the per-protocol analysis were obtained from the records of the bulk SMS provider used to send the SMS messages, Multiple fieldworkers were used overseen by a project coordinator overseen in turn by co-PI Prof. Ronelle Burger. Fieldworkers collected initial and follow-up data in tablets, and uploaded the data to a central server. The project coordinator undertook the randomization to the control and two treatment groups as described in the paper. Data-cleaning was done by staff at Stellenbosch University and the World Bank. Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor. Wagstaff, A. (World Bank), Ronelle Burger (Stellenbosch University), and Eddy Van Doorslaer (Erasmus University). 2019. SMS Nudges as a Tool to Reduce Tuberculosis Treatment Delay and Pretreatment Loss to Follow-up; A Randomized Controlled Trial (SMSTB-RCT) 2017-2018. REF: ZAF_2017_SMSTB-RCT_v01_M. Downloaded from [url] on [date]. - Public use files, accessible to all 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. tb_microdata_cat This is the microdataset used in the paper "SMS nudges as a tool to reduce Tuberculosis treatment delay and pretreatment loss to follow-up. A randomized controlled trial". 506 23 The Surveyed Clinic The Surveyed Clinic The Surveyed Clinic The Surveyed Clinic The Surveyed Clinic 506 Clinic A Clinic B Clinic C 4.1. What is your age? 4.1. What is your age? 4.1. What is your age? 4.1. What is your age? 4.1. What is your age? 506 18 81 "4.1. What is your age?" 4.2. What is your gender? 4.2. What is your gender? 4.2. What is your gender? 4.2. What is your gender? 4.2. What is your gender? 506 1 1 "4.2. What is your gender?" a. Someone with a university degree a. Someone with a university degree a. Someone with a university degree a. Someone with a university degree a. Someone with a university degree 506 1 1 "a. Someone with a university degree" b. Someone with a job b. Someone with a job b. Someone with a job b. Someone with a job b. Someone with a job 506 1 1 "b. Someone with a job" c. Is there electricity in your household? c. Is there electricity in your household? c. Is there electricity in your household? c. Is there electricity in your household? c. Is there electricity in your household? 506 1 1 "c. Is there electricity in your household?" In your household, is there hot water running from a tap? In your household, is there hot water running from a tap? In your household, is there hot water running from a tap? In your household, is there hot water running from a tap? In your household, is there hot water running from a tap? 506 1 1 "In your household, is there hot water running from a tap?" e. In your household, is there a television? e. In your household, is there a television? e. In your household, is there a television? e. In your household, is there a television? e. In your household, is there a television? 506 1 1 "e. In your household, is there a television?" f. In your household, is there a refrigerator or a freezer? f. In your household, is there a refrigerator or a freezer? f. In your household, is there a refrigerator or a freezer? f. In your household, is there a refrigerator or a freezer? f. In your household, is there a refrigerator or a freezer? 506 1 1 "f. In your household, is there a refrigerator or a freezer?" g. In your household, is there a satellite dish? g. In your household, is there a satellite dish? g. In your household, is there a satellite dish? g. In your household, is there a satellite dish? g. In your household, is there a satellite dish? 506 1 1 "g. In your household, is there a satellite dish?" h. Does someone in your household own a car? h. Does someone in your household own a car? h. Does someone in your household own a car? h. Does someone in your household own a car? h. Does someone in your household own a car? 506 1 1 "h. Does someone in your household own a car?" i. Does someone in your household own a mobile phone? i. Does someone in your household own a mobile phone? i. Does someone in your household own a mobile phone? i. Does someone in your household own a mobile phone? i. Does someone in your household own a mobile phone? 506 1 1 "i. Does someone in your household own a mobile phone?" 4.11. In the past 3 months, did anyone in your household ever go to bed hungry? 4.11. In the past 3 months, did anyone in your household ever go to bed hungry? 4.11. In the past 3 months, did anyone in your household ever go to bed hungry? 4.11. In the past 3 months, did anyone in your household ever go to bed hungry? 4.11. In the past 3 months, did anyone in your household ever go to bed hungry? 506 1 1 "4.11. In the past 3 months, did anyone in your household ever go to bed hungry?" Time in days to return to clinic Time in days to return to clinic Time in days to return to clinic Time in days to return to clinic Time in days to return to clinic 506 98 Returned in 2 days Returned in 2 days Returned in 2 days Returned in 2 days Returned in 2 days 506 1 1 Returned in 1 week Returned in 1 week Returned in 1 week Returned in 1 week Returned in 1 week 506 1 1 Returned in 2 weeks Returned in 2 weeks Returned in 2 weeks Returned in 2 weeks Returned in 2 weeks 506 1 1 Returned in 4 weeks Returned in 4 weeks Returned in 4 weeks Returned in 4 weeks Returned in 4 weeks 502 4 1 1 Sysmiss Returned before end of study Returned before end of study Returned before end of study Returned before end of study Returned before end of study 506 1 1 =1 if exclude for per-protocol analysis =1 if exclude for per-protocol analysis =1 if exclude for per-protocol analysis =1 if exclude for per-protocol analysis =1 if exclude for per-protocol analysis 506 1 1 An SMS sent An SMS sent An SMS sent An SMS sent An SMS sent 506 1 1 0 control, 1 SMS1, 2 SMS2 0 control, 1 SMS1, 2 SMS2 0 control, 1 SMS1, 2 SMS2 0 control, 1 SMS1, 2 SMS2 0 control, 1 SMS1, 2 SMS2 506 2 1 2 HIV positive HIV positive HIV positive HIV positive HIV positive 506 1 1