Patterns of non-communicable comorbidities at start of tuberculosis treatment in three regions of the Philippines: St-ATT cohort baseline data – User Guide

Permanent identifier

https://doi.org/10.17037/DATA.00002476

Description

Data collected as part of a facility-based prospective cohort study conducted in public (government) Tuberculosis (TB) Directly Observed Treatment (DOT) clinics in the Philippine. This dataset contains individual-level information that used in a cross-sectional analysis of  selected data collected from the St-ATT cohort of Filipino adults at baseline who were enrolled within 5 days of initiating a new tuberculosis treatment regimen. Study information is available in the ISRCTN Registry ID: 16347615.

Data collection methods

Data were collected from non-pregnant adults (≥ 18 years old) at enrolment into a facility-based prospective cohort study conducted in public (government) Tuberculosis (TB) Directly Observed Treatment (DOT) clinics in the Philippines (ISRCTN16347615). Persons with bacteriologically confirmed or a clinical diagnosis of pulmonary TB were eligible. Data were collected using structured questionnaires administered by trained research nurses and comprise clinical, anthropometric and socio-demographic variables, along with study measurements from finger prick blood samples. Participants were non-randomly selected from those newly registering in participating clinics.

Data availability

Anonymised data and any remaining sputum/blood samples will be made available for use by health researchers in ethically approved projects related to TB to maximize benefit to research on the health and wellbeing of people living in the Philippines, in accordance with the participant consent agreement.

Geographic regions

Philippines

Key dates

Data collection took place between 1 August 2018 and 18 February 2020.

Population

Participated were aged 18 or over and not pregnant at the time of enrolment.

Keywords

Tuberculosis, comorbidities, Philippines, Malnutrition, diabetes, Epidemiology, Nutrition

Language of written material

English

Project information

Project name Funder/sponsor Grant number ISRCTN registry ID
The effect of malnutrition and diabetes on outcomes for drug-resistant and drug sensitive patients starting anti-tuberculosis treatment Nagasaki University, Japan Not specified ISRCTN16347615

Additional information

Further information on the study is available at https://doi.org/10.1186/ISRCTN16347615.

Creators

Forename Surname Faculty / Dept Institution Role
Sharon Cox Faculty of Epidemiology and Population Health / Department of Population Health London School of Hygiene & Tropical Medicine Data Creator
Benjamin Faguer Faculty of Infectious and Tropical Diseases London School of Hygiene & Tropical Medicine Data Creator

Associated roles

Forename Surname Faculty / Dept Institution Role
Sharon Cox Faculty of Epidemiology and Population Health / Department of Population Health London School of Hygiene & Tropical Medicine Principal Investigator
Tansy Edwards Faculty of Epidemiology and Population Health / Department of Infectious Disease Epidemiology London School of Hygiene & Tropical Medicine Co-investigator
Juan Solon   Nutrition Center of the Philippines (NCP), Philippines Co-investigator
Julius Ferrer   Not stated Project Manager
Shuichi Jack Suzuki   Nagasaki University, Nagasaki, Japan Project member
  Mitsuki Koh   Not stated Project member
Ferdous Farzana   Not stated Project member
Mary Christine Castro   Nutrition Center of the Philippines (NCP), Philippines Co-investigator
Naomi Saludar   Not stated Data collector
Anna-Marie Garfin   Not stated Project member
Benjamin Faguer Faculty of Infectious and Tropical Diseases London School of Hygiene & Tropical Medicine Data Manager

File description

Filename Description Access status Licence
StATT_baseline_dataset StATT Baseline Dataset Request Data sharing agreement
StATT_baseline_dataset_codebook Codebook for StATT Baseline Dataset Open Creative Commons Attribution (CC BY)
StATT_baseline_dataset_userguide User guide for StATT Baseline Dataset Open Creative Commons Attribution (CC BY)