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Estimating Chronic Respiratory Disease (Asthma and COPD) Burden in Adults

Population Size

Not reported

Years

2018 - 2020

Associated BioSamples

None/not available

Geographic coverage

India

Punjab (India)

Lead time

Other

Summary

The purpose of this dataset collected is to assess the burden of CRD and its social and economic impact on the community and health system.

Documentation

The dataset contains quantitative and qualitative datasets. Quantitative dataset have questionnaire and spirometry data collected from randomly selected adult population. Whereas the qualitative data contains in depth interview data collected from patient, physician and different stakeholders from private and public health system in rural part of India. The purpose of this dataset collected is to assess the burden of CRD and its social and economic impact on the community and health system.

Chronic Respiratory Diseases (CRD) especially asthma & Chronic Obstructive Pulmonary Disease (COPD) are common public health problems with high prevalence and mortality rates across the world. Although the majority of deaths and disability occur in developing countries, there is very little data on the true prevalence of asthma and COPD in these countries. Chronic respiratory symptoms are common in the general population but weak primary health care systems in resource-poor countries are often unable to diagnose the underlying disease condition. Factors contributing to low rates of diagnosis include limited access to, negative perceptions of, and lack of diagnostic capability in healthcare facilities. Determining the prevalence of asthma & COPD in the community has remained a challenge because of the poor sensitivity and specificity of the widely used questionnaire-based research tools, while spirometry, which is the gold standard diagnostic test, is a challenge to use in community-based epidemiological surveys.

Informed by a scoping review of existing questionnaires and protocols used in Low- and Middle-Income Countries (LMICs) to identify CRDs, we conducted a pilot survey to explore feasibility of using screening process in four countries (Bangladesh, India, Malaysia, and Pakistan). Our pilot findings will inform a future fully powered survey to determine the prevalence of asthma, COPD and other CRD in the community, using robust random sampling strategies, and quality assured spirometry undertaken by field workers.

For further information, see: https://www.ed.ac.uk/usher/respire/chronic-respiratory-disorders/estimating-chronic-respiratory-disease-burden

Dataset type
Health and disease
Dataset sub-type
Not applicable

Keywords

middle-income, Chronic Respiratory Disease, India, COPD, adults, Asian, asthma, RESPIRE, BREATHE, low-income

Provenance

Image contrast
Not stated
Biological sample availability
None/not available

Details

Publishing frequency
Other
Version
1.0.0
Modified

08/10/2024

Citation Requirements
RESPIRE Collaboration

Coverage

Start date

09/01/2018

End date

31/08/2020

Time lag
Not applicable
Geographic coverage
India, Punjab (India)
Minimum age range
18
Maximum age range
150

Accessibility

Language
en
Controlled vocabulary
LOCAL
Format
CSV/WORD/PDF/Audio

Data Access Request

Dataset pipeline status
Not available
Access rights
Access is managed on a project-by-project basis. Contact the RESPIRE team: https://www.ed.ac.uk/usher/respire/about/projects
Time to dataset access
Other
Data Controller
RESPIRE
Data Processor
RESPIRE

Dataset Types: Health and disease


Collection Sources: