Development and evaluation of a Bengali mHealth app for eye screening
Author Information
Author(s): Haque Monzurul, Zaman Marzia, Islam Ashraful, Sarker Farhana, Ferdausi Nahid, Mamun Khondaker
Primary Institution: United International University, Dhaka, Bangladesh
Hypothesis
Can a mobile health app improve the early detection of visual impairments in Bangladesh?
Conclusion
The Dristi app shows promise as an effective tool for early detection of visual impairments in Bangladesh.
Supporting Evidence
- The app was validated against clinical assessments by certified eye specialists.
- High sensitivity and accuracy were observed in controlled environments.
- Participants included a diverse demographic from various healthcare settings.
Takeaway
The Dristi app helps people in Bangladesh check their eyesight using their phones, making it easier for them to get eye care.
Methodology
A cross-sectional comparative design was used to validate the app's performance in testing distant and near vision.
Potential Biases
Potential over-diagnosis due to high sensitivity and low specificity in certain settings.
Limitations
Challenges included illiteracy among participants, reliance on internet connectivity, and potential biases in participant selection.
Participant Demographics
{"gender":{"male":297,"female":382},"age_range":"12 to 80 years","mean_age":35.4,"education_levels":{"illiterate":127,"primary":241,"secondary":152,"higher_secondary":102,"graduate":57},"health_conditions":{"diabetic":88,"hypertension":170}}
Statistical Information
P-Value
5.72e-36
Confidence Interval
{"distant_vision":{"government_eye_hospital":"92.34% to 97.97%","semi_private_eye_hospital":"85.90% to 95.35%","private_clinic":"92.00% to 99.37%","high_school":"49.74% to 91.82%"},"near_vision":{"semi_private_eye_hospital":"90.53% to 98.49%"}}
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website