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Rapid sequential mixed-method study to identify barriers and explore solutions for improving equitable access to
Shalinder Sabherwal1,2, Luke Allen3, Mohd Javed4
1Public Health, Dr Shroff's Charity Eye Hospital, New Delhi, India Shalinder.sabherwal@sceh.net.
Objective:
In low-income and middle-income countries, significant geographical and socioeconomic inequalities affect access to eye care. This study explores an equity-focused approach to improve access to eye care services provided by a community-based eye care organisation in northern India.
Design:
A sequential exploratory mixed-method approach.
Setting:
A high-volume eye screening programme in north Indian villages. Individuals identified with eye care needs during the screening were referred to the six nearby primary eye care centres.
Participants:
7578 individuals identified with eye needs through a community-based eye screening programme. Of these, 4431 (58.6%) were women and 3137 (41.4%) were men.Socioeconomic questions, developed by experts and lay representatives, were integrated into an ongoing digitally supported (Peek Vision) eye screening programme in north Indian villages. Data from referred individuals identified with eye needs were analysed using logistic regression with a mixed-effect model to identify socioeconomic characteristics most strongly associated with poor access to care after referral. A sequential exploratory mixed-method approach, including in-person interviews and follow-up telephonic surveys of individuals with these characteristics, was used.
Outcome:
To identify barriers and gather suggestions for improving attendance from groups least likely to attend services.
Results:
Of 7627 individuals referred for eye care, 7578 (99.3%) participated in the study. Of those, 2937 (38.5%) attended the Vision Centre, to which they were referred. The least likely to attend were individuals aged >16, those with dependents, and those referred for non-cataract conditions. Among the 3939 individuals with all three characteristics, the attendance rate was 35.3% compared with 42.5% (p<0.001) among the rest. Interviews with this group highlighted transport, personalised counselling, information dissemination, subsidised spectacles and village leader involvement as key suggestions. A telephonic survey with 400 individuals confirmed that the top priorities were free transport, personalised counselling and subsidised spectacles.
Conclusion:
Suggested programme improvements, including better counselling, reminder calls and transportation, could increase access among those least likely to access services after referral. This study demonstrates a two-step approach for identifying solutions from individuals facing the most significant barriers to care. We will go on to conduct trials of these suggested interventions.
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