XPHACTOR Clinical Score dataset
, Grant, AD and Churchyard, GJ
(2016).
XPHACTOR Clinical Score dataset.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.204.
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.
Additional Information
Data was obtained from study participants on the basis that it would be used for HIV and TB related research. To comply with the study's ethical obligations, the dataset can only be made available on condition that the requester provides details of their research and signs a data sharing agreement.
Keywords
Tuberculosis diagnosis, Development, Validation, South Africa, HIVParent Collection(s)
- note_stack XPHACTOR datasets
| Item Type | Dataset |
|---|---|
| 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. |
| Capture method | Interview: Face-to-face, Questionnaire: Fixed form - Paper |
| Collection Period |
From To September 2012 March 2014 |
| Date | 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 |
| Creator(s) |
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 (-2023) 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 |
| Funders |
Project Funder Grant Number Funder URI Xpert MTB/RIF for people attending HIV care: an interventional cohort study to guide rational implementation OPP1034523 http://dx.doi.org/10.13039/100000865 |
| Date Deposited | 20 Jul 2017 09:20 |
| Last Modified | 20 Jun 2025 10:47 |
| Publisher | London School of Hygiene & Tropical Medicine |
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subject - Data
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lock - Restricted to Request access for all
- Data Sharing Agreement
- Available under Data Sharing Agreement
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info - Clinical Score dataset - MS Excel and CSV format. Data can be reused for HIV and TB related research only
folder_zip - application/zip
- folder_info
- 247B
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subject - Documentation
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- Available under Creative Commons: Attribution 4.0
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info - Codebook containing variable definitions
html - text/html
- folder_info
- 9kB
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subject - Documentation
- Creative Commons: Attribution
- Available under Creative Commons: Attribution 3.0
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info - Information sheet and consent form
picture_as_pdf - application/pdf
- folder_info
- 450kB
