Completeness of individual characteristic data in UK pulmonary rehabilitation
4 affiliations
- 1Department of Respiratory Sciences, University of Leicester, Leicester, UK
- 2School of Health Sciences, University of Nottingham, Nottingham, UK
- 3Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester NHS Trust, Leicester, UK
- 4School of Public Health, Imperial College London, London, UK
Abstract
Inequalities in the enrolment and completion of pulmonary rehabilitation (PR) across individual characteristics persist. Accurate data collection of individual characteristics supports services to identify and address these inequalities. This study assessed the completeness of individual characteristic data in a UK National Respiratory Audit Programme dataset of 88 446 individuals assessed March 2019–September 2023. Age, gender and index of multiple deprivation quintile were consistently collected (<1% missing). Ethnicity and Medical Research Council dyspnoea score had substantially higher levels of missing data (14% and 7%, respectively). Improving data completeness may support health inequalities to be identified and addressed in PR services.
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BibTeX
@article{drover2026completeness,
title = {{Completeness of individual characteristic data in UK pulmonary rehabilitation}},
author = {Holly Drover and Mark Orme and Lin Wang and Matthew Richardson and Jennifer K Quint and Rachael A Evans and Sally J Singh and Enya Daynes},
journal = {BMJ Open Respiratory Research},
year = {2026},
month = oct,
doi = {10.1136/bmjresp-2026-004645},
url = {https://doi.org/10.1136/bmjresp-2026-004645},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Completeness of individual characteristic data in UK pulmonary rehabilitation
AU - Holly Drover
AU - Mark Orme
AU - Lin Wang
AU - Matthew Richardson
AU - Jennifer K Quint
AU - Rachael A Evans
AU - Sally J Singh
AU - Enya Daynes
PY - 2026
DA - 2026/10/26
JO - BMJ Open Respiratory Research
DO - 10.1136/bmjresp-2026-004645
UR - https://doi.org/10.1136/bmjresp-2026-004645
AB - Inequalities in the enrolment and completion of pulmonary rehabilitation (PR) across individual characteristics persist. Accurate data collection of individual characteristics supports services to identify and address these inequalities. This study assessed the completeness of individual characteristic data in a UK National Respiratory Audit Programme dataset of 88 446 individuals assessed March 2019–September 2023. Age, gender and index of multiple deprivation quintile were consistently collected (<1% missing). Ethnicity and Medical Research Council dyspnoea score had substantially higher levels of missing data (14% and 7%, respectively). Improving data completeness may support health inequalities to be identified and addressed in PR services.
SN - 2052-4439
ER -