TB Fast Track patient cost data

Candfield, S, Mukora, R, Monkwe, S, Charalambous, S, Sweeney, S, Grant, AD, Fielding, K and Vassall, A. 2018. TB Fast Track patient cost data. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00000815.

Candfield, S, Mukora, R, Monkwe, S, Charalambous, S, Sweeney, S, Grant, AD, Fielding, K and Vassall, A. TB Fast Track patient cost data [Internet]. London School of Hygiene & Tropical Medicine; 2018. Available from: https://doi.org/10.17037/DATA.00000815.

Candfield, S, Mukora, R, Monkwe, S, Charalambous, S, Sweeney, S, Grant, AD, Fielding, K and Vassall, A (2018). TB Fast Track patient cost data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00000815.

Description

A tabular dataset containing information provided by 99 HIV-positive individuals – men and women aged 18 or above who had a low CD4 count and were not yet on TB or HIV treatment - enrolled in the TB FastTrack trial, a cluster randomised trial to establish the direct and indirect costs of illness incurred at the patient/household level. Data was collected through patient interviews conducted at the health facility where they were receiving treatment in North West Limpopo and Gauteng provinces between June 2014 and March 2015. The dataset contains 450+ variables, including details on quantity of visits, time spent in seeking care, direct medical and non-medical costs incurred, and individual and estimated household income. Household income was established using 4 approaches: (1) self-reported (detail), (2) self-reported (brackets), (3) by matching through an asset index, and (4) national average income.

Methods

Description of data capture

Data was collected and cleaned in Excel. Analysis was conducted in Stata 14. The patient cost study was conducted alongside the TB FastTrack study, quality controls included a review of completed paper questionnaires by a health economist. Data entry errors and discrepancies were investigated by comparing conflicting entries against the paper questionnaires. The trial, including the costing study, was approved by the Research Ethics Committees of the University of Witwatersrand (approval number: R14/49 M111177), the London School of Hygiene and Tropical Medicine (approval number: 6099), and the Provincial Research Committees of Gauteng, North West and Limpopo.

Data capture method

Interview: Face-to-face

Data Collection Period

From	To
July 2014	March 2015

Date (Date submitted to LSHTM repository)

29 August 2018

Geographical area covered (offline during plugin upgrade)

North Latitude	East Longitude	South Latitude	West Longitude
-23.7759	35.3075	-34.8595	15.3124

Language(s) of written materials

English

People & Groups

Data Creators	Candfield, S, Mukora, R, Monkwe, S, Charalambous, S, Sweeney, S, Grant, AD, Fielding, K and Vassall, A
Associated roles	Guinness, L (Researcher)
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health Faculty of Infectious and Tropical Diseases Faculty of Public Health and Policy > Dept of Global Health and Development
Research Centre	TB Centre
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom, The Aurum Institute, Johannesburg, South Africa

Projects

Funders

Project	Funder	Grant Number	Funder URI
TB FastTrack	Joint Global Health Trials	Project funding: Joint Global Health Trials number G1100689/1. Salary support: Bill and Melinda Gates Foundation grant number OPP1109722	UNSPECIFIED
UNSPECIFIED	Bill and Melinda Gates Foundation	UNSPECIFIED	UNSPECIFIED

Additional Information

Date Deposited	29 Aug 2018 11:17
Last Modified	27 Apr 2022 18:20
Publisher	London School of Hygiene & Tropical Medicine

Downloads

Data / Code

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Filename: TBFT_patient costs_dataset.csv

Description: Cross-sectional patient cost dataset used to replicate analysis presented in paper. Prior to requesting the dataset, researchers should review the codebook and identify the specific variables required.

Licence: Data Sharing Agreement

Content type: Dataset

File size: 47B

Mime-Type: text/plain

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