Analysis of a comprehensive diabetic retinopathy screening model for rural and urban diabetics in developing countries

Br J Ophthalmol. 2007 Nov;91(11):1425-9. doi: 10.1136/bjo.2007.120659.

Abstract

Aim: To present an analysis of a screening model for diabetic retinopathy and compare the results of screening between rural and urban populations.

Methods: Between June 2003 and September 2004, 51 diabetic retinopathy screening camps (rural, 25; urban, 26) were conducted in three southern districts of India. The target population, aged 30 years and above, underwent comprehensive eye evaluation and those with referable diabetic retinopathy (proliferative diabetic retinopathy, severe non-proliferative diabetic retinopathy, severe diabetic macular oedema, or a combination of these) were referred to the base hospital for further treatment.

Results: Among 7716 diabetic subjects, the age and sex adjusted prevalence of diabetic retinopathy was 18% in the rural areas and 17% in the urban areas. The prevalence of referable retinopathy was 6.8% in rural areas and 4.6% in urban areas (p<0.001). Around 63% of individuals in rural areas and 75% in urban areas had never previously had their eyes examined for diabetic retinopathy. Multivariate analysis revealed the following risk factors for diabetic retinopathy: age more than 50 years, known diabetes, prolonged duration of diabetes, and eyes with moderate or severe visual impairment (p<0.0001).

Conclusions: The study describes a comprehensive diabetic retinopathy screening model which can identify sight threatening retinopathy and provide necessary treatment for rural and urban populations.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Developing Countries*
  • Diabetic Retinopathy / diagnosis*
  • Diabetic Retinopathy / epidemiology
  • Diabetic Retinopathy / etiology
  • Female
  • Humans
  • India / epidemiology
  • Male
  • Mass Screening / methods*
  • Mass Screening / organization & administration
  • Middle Aged
  • Models, Organizational*
  • Patient Selection
  • Risk Factors
  • Rural Health / statistics & numerical data
  • Severity of Illness Index
  • Time Factors
  • Urban Health / statistics & numerical data