Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 229 days ago
Documentation
Description:
This datasets contains quantitative and qualitative data. Quantitative data is collected from GPs practising in study area to understand their qualification and type of practice and their involvement in asthma & COPD diagnosis and management. Qualitative data is collected from few GPs (using in depth interview tools) in study area who has good experience about diagnosis and management of asthma & COPD. Their perceptions and practices about their clinical practice are documented.
Long-term lung conditions, such as asthma and chronic obstructive pulmonary disease (COPD), are very common and can affect people’s well-being, and ability to work and care for their families.
Respiratory symptoms are common but weak primary health care systems in resource-poor countries are often unable to diagnose the underlying disease condition, leading to inappropriate treatment. A lack of diagnosis also means the true burden of the disease is not appreciated.
To improve treatment of these conditions, we first need to understand how primary care doctors (who provide the majority of healthcare for rural populations in India) diagnose and treat people with chest symptoms, what makes it difficult for them to provide good care and how they think care can be improved.
To work with primary care doctors in the Pune district in India, to determine their thoughts on the diagnosis and management of lung conditions.
For further information, see: https://www.ed.ac.uk/usher/respire/respire-fellowships/dhiraj-agarwal
Coverage
Spatial:
India,Punjab (India)
Typical Age Range:
18-150
Provenance
Temporal
Start Date:
10 January 2019
End Date:
03 January 2021
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Access is managed on a project-by-project basis. Contact the RESPIRE team: https://www.ed.ac.uk/usher/respire/about/projects
Delivery Lead Time:
Not applicable
Data Controller:
RESPIRE
Data Processor:
RESPIRE
Usage
Resource Creators:
RESPIRE Collaboration
Format and Standards
Vocabulary Encoding Schemes:
LOCAL
Languages:
en
Formats:
CSV/Word/Audio files