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Depression among patients with multi-drug resistant tuberculosis (MDR-TB) in Bangladesh

Elsey, Helen and Hicks, Joseph (2020) Depression among patients with multi-drug resistant tuberculosis (MDR-TB) in Bangladesh. University of Leeds. [Dataset] https://doi.org/10.5518/754

Dataset description

The data set is derived from a cross-sectional survey among 150 multi-drug resistant tuberculosis (MDR-TB) in-patients in the National Institute of Diseases of the Chest and Hospital (NIDCH) in Dhaka, Bangladesh. The aims of the study were to statistically validate the PHQ-9 depression screening tool among MDR-TB in-patients within this context, measure the prevalence of depression among MDR-TB in-patients within this context, and explore the associations between socio-demographic and health related variables and depression status among MDR-TB in-patients within this context. The data were collected in 2018 from all consenting in-patients between January and July 2018. The data includes socio-demographic variables, self-report details of co-morbidities and responses to the PHQ9 question-set for depression. The PHQ-9 assessments were repeated after two weeks to assess the tool’s consistency over time. Also as part of the validation of PHQ-9, within a two-week period a psychiatrist assessed depression among patients using the Structured Clinical Interview for Depression (SCID DSM-IV). These results are also included in the data set to serve as a “gold standard” for the PHQ-9 validation. Two patients left (without being discharged) the hospital before the SCID interview could be conducted, so the SCID data is only available for 148 of the 150 respondents.

Additional information: This dataset is subject to peer review and the content may change.
Keywords: household survey; Global Public Health, Health Policy, Mental Health, Tuberculosis, Bangladesh
Subjects: L000 - Social studies > L400 - Social policy > L430 - Public policy > L431 - Health policy
Divisions: Faculty of Medicine and Health > School of Medicine > Leeds Institute of Health Sciences (LIHS)
Related resources:
LocationType
https://doi.org/10.1186/s12889-020-08986-xPublication
http://eprints.whiterose.ac.uk/166107/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 16 Jan 2020 13:31
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/628

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