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Blended learning for primary care physicians on COPD in Bangladesh

Population Size

Not reported

Years

2019 - 2020

Associated BioSamples

None/not available

Geographic coverage

Bangladesh

Lead time

Variable

Summary

The aim is to explore the use of both face-to-face and online methods (blended learning) for the training of primary care doctors in COPD in Bangladesh.

Documentation

The aim is to explore the use of both face-to-face and online methods (blended learning) for the training of primary care doctors in COPD in Bangladesh. We will assess the feasibility of the blended approach, comparing exam scores with usual face-to-face training and exploring participants’ thoughts following the training.

In Bangladesh, more than 6.5 million people over the age of 40 have Chronic Obstructive Pulmonary Disease (COPD). COPD is often under diagnosed and not well managed by doctors in primary care practices in Bangladesh.

COPD training for doctors takes about 40 hours and because primary care is so busy, doctors often can’t attend training as there would be no-one to see patients while they are away from the practice.

Combining online learning, with the standard face-to-face training, would reduce the time away from practice.

The aim is to explore the use of both face-to-face and online methods (blended learning) for the training of primary care doctors in COPD in Bangladesh. We will assess the feasibility of the blended approach, comparing exam scores with usual face-to-face training and exploring participants’ thoughts following the training.

For further information, see: https://www.ed.ac.uk/usher/respire/respire-fellowships/md-nazim-uzzaman

Dataset type
Health and disease
Dataset sub-type
Not applicable

Keywords

RESPIRE, Bangladesh, bubble continuous positive airway pressure, bcpap, treatment, children, severe, pneumonia

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Findings

1

Count

30 Apr 2020

Provenance

Purpose of dataset collection
Study
Collection source setting
Community
Image contrast
Not stated
Biological sample availability
None/not available

Details

Publishing frequency
Static
Version
1.0.0
Modified

08/10/2024

Distribution release date

30/04/2020

Citation Requirements
RESPIRE

Coverage

Start date

01/05/2019

End date

30/04/2020

Time lag
Not applicable
Geographic coverage
Bangladesh
Minimum age range
28
Maximum age range
52

Accessibility

Language
en
Controlled vocabulary
LOCAL
Format
text

Data Access Request

Dataset pipeline status
Not available
Time to dataset access
Variable
Access method category
Varies based on project
Access service description
Access service varies on a project-by-project basis. Contact the RESPIRE team for further in formation
Jurisdiction
GB-ENG, GB-SCT, GB-WLS
Data use limitation
General research use
Data Controller
BREATHE

Dataset Types: Health and disease


Collection Sources: Community