Systematic scoping review protocol of methodologies of chronic respiratory disease surveys in low/middle-income countries.
Dhiraj M AgarwalNik Sherina HanafiSoumya ChippagiriEvelyn A BrakemaHilary PinnockEe Ming KhooAziz SheikhSu-May LiewChiu-Wan NgRita IsaacKaruthan ChinnaPooi-Fong WongNorita Binti HusseinSanjay K Juvekarnull nullPublished in: NPJ primary care respiratory medicine (2019)
This protocol describes a systematic scoping review of chronic respiratory disease surveys in low/middle-income countries (LMICs) undertaken as part of the Four Country ChrOnic Respiratory Disease (4CCORD) study within the National Institute for Health Research Global Health Research Unit on Respiratory Health (RESPIRE). Understanding the prevalence and burden of chronic respiratory disease (CRD) underpins healthcare planning. We will systematically scope the literature to identify existing strategies (definitions/questionnaires/diagnostics/outcomes) used in surveys of CRDs in adults in low-resource settings. We will search MEDLINE, EMBASE, ISI WoS, Global Health and WHO Global Health Library [search terms: prevalence AND CRD (COPD, asthma) AND LMICs, from 1995], and two reviewers will independently extract data from selected studies onto a piloted customised data extraction form. We will convene a workshop of the multidisciplinary 4CCORD research team with representatives from the RESPIRE partners (Bangladesh, India, Malaysia, Pakistan and Edinburgh) at which the findings of the scoping review will be presented, discussed and interpreted. The findings will inform a future RESPIRE 4CCORD study, which will estimate CRD burden in adults in Asian LMICs.
Keyphrases
- global health
- healthcare
- public health
- risk factors
- chronic obstructive pulmonary disease
- mental health
- randomized controlled trial
- cross sectional
- systematic review
- electronic health record
- physical activity
- lung function
- type diabetes
- risk assessment
- palliative care
- big data
- machine learning
- current status
- health information
- metabolic syndrome
- drug induced
- deep learning
- climate change
- health insurance
- adipose tissue
- hepatitis c virus
- health promotion
- artificial intelligence
- men who have sex with men