ZAF_2017_SMSTB-RCT_v01_M DDI_ZAF_2017_SMSTB-RCT_v01_M_WB Development Economics Data Group 2019-03-27 Nesstar Publisher Adam Wagstaff 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 Nesstar Publisher 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. The analysis of the data was done primarily by Co-PI Adam Wagstaff. 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.NSDstat 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 Nesstar 200801 The Surveyed Clinic 506 0 Clinic A 221 Clinic B 89 Clinic C 196 4.1. What is your age? 506 0 18 81 "4.1. What is your age?" 4.2. What is your gender? 506 0 0 1 0 281 1 225 "4.2. What is your gender?" a. Someone with a university degree 506 0 0 1 0 433 1 73 "a. Someone with a university degree" b. Someone with a job 506 0 0 1 0 194 1 312 "b. Someone with a job" c. Is there electricity in your household? 506 0 0 1 0 32 1 474 "c. Is there electricity in your household?" In your household, is there hot water running from a tap? 506 0 0 1 0 464 1 42 "In your household, is there hot water running from a tap?" e. In your household, is there a television? 506 0 0 1 0 59 1 447 "e. In your household, is there a television?" f. In your household, is there a refrigerator or a freezer? 506 0 0 1 0 76 1 430 "f. In your household, is there a refrigerator or a freezer?" g. In your household, is there a satellite dish? 506 0 0 1 0 338 1 168 "g. In your household, is there a satellite dish?" h. Does someone in your household own a car? 506 0 0 1 0 426 1 80 "h. Does someone in your household own a car?" i. Does someone in your household own a mobile phone? 506 0 0 1 0 58 1 448 "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? 506 0 0 1 0 352 1 154 "4.11. In the past 3 months, did anyone in your household ever go to bed hungry?" Time in days to return to clinic 506 0 0 98 Returned in 2 days 506 0 0 1 0 203 1 303 Returned in 1 week 506 0 0 1 0 123 1 383 Returned in 2 weeks 506 0 0 1 0 105 1 401 Returned in 4 weeks 502 4 0 1 0 99 1 403 Sysmiss 4 Returned before end of study 506 0 0 1 0 97 1 409 =1 if exclude for per-protocol analysis 506 0 0 1 0 415 1 91 An SMS sent 506 0 0 1 0 101 1 405 0 control, 1 SMS1, 2 SMS2 506 0 0 2 0 101 1 204 2 201 HIV positive 506 0 0 1 0 322 1 184