XPHACTOR Clinical Score dataset

Hanifa, Y, Fielding, K, Grant, AD and Churchyard, GJ. 2016. XPHACTOR Clinical Score dataset. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.204.

Hanifa, Y, Fielding, K, Grant, AD and Churchyard, GJ. XPHACTOR Clinical Score dataset [Internet]. London School of Hygiene & Tropical Medicine; 2016. Available from: https://doi.org/10.17037/DATA.204.

Hanifa, Y, Fielding, K, Grant, AD and Churchyard, GJ (2016). XPHACTOR Clinical Score dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.204.

Description

The World Health Organization (WHO) recommendation for regular tuberculosis (TB) screening of HIV-positive individuals with Xpert MTB/RIF as the first diagnostic test has major resource implications. The aim of our study was to develop a score, comprising elements readily available in primary care, to predict probability of TB in adults attending for routine HIV care screened for TB and found WHO tool positive. We used data collected for “Xpert for people attending HIV/AIDS care: test or review?” (XPHACTOR), a prospective cohort study evaluating a risk-based algorithm to prioritise Xpert MTB/RIF testing amongst adults attending for routine HIV care in South Africa, to develop and validate our clinical score. This dataset contains data for 1,048 HIV-positive adults attending for routine HIV care and reporting ≥1 symptom on the WHO screening tool. The dataset is split 50:50 to derive, and internally validate the prediction model. It includes basic demographics, TB diagnoses, and candidate predictors considered for the score. Data was collected for the purpose of HIV and TB research and can only be reused for related research, in accordance with the participant consent agreement.

Methods

Description of data capture

A systematic sample of adult HIV clinic attendees were enrolled to the XPHACTOR study and reviewed monthly to three months; data from participants reporting ≥1 symptom on the WHO screening tool were split 50:50 to derive, then internally validate, a prediction model.

Data capture method

Interview: Face-to-face, Questionnaire: Fixed form - Paper

Data Collection Period

From	To
September 2012	March 2014

Date (Date submitted to LSHTM repository)

August 2016

Geographical area covered (offline during plugin upgrade)

North Latitude	East Longitude	South Latitude	West Longitude
-25.6372	28.4068	-26.3482	27.8849

Language(s) of written materials

English

People & Groups

Data Creators	Hanifa, Y, Fielding, K, Grant, AD and Churchyard, GJ
Associated roles	Grant, AD (Principal Investigator), Churchyard, GJ (Principal Investigator), Chihota, V (Co-Investigator), Ndlovu, N (Project Manager), Charalambous, S (Co-Investigator), Stevens, W (Co-Investigator), Nicol, M (Co-Investigator), Karstaedt, A (Co-Investigator), Sahid, F (Other), Adonis, L (Co-Investigator), McCarthy, K (Co-Investigator), Foster, N (Co-Investigator), Sinanovic, E (Co-Investigator) and Vassall, A (Co-Investigator)
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology Faculty of Infectious and Tropical Diseases > Dept of Clinical Research 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, South Africa, National Health Laboratory Services, South Africa, University of Cape Town, South Africa

Projects

Funders

Project	Funder	Grant Number	Funder URI
Xpert MTB/RIF for people attending HIV care: an interventional cohort study to guide rational implementation	Bill & Melinda Gates Foundation	OPP1034523	UNSPECIFIED