Unmet burden of cleft lip and palate in rural Gujarat, India: a population-based study

World J Surg. 2015 Jan;39(1):41-6. doi: 10.1007/s00268-014-2628-6.

Abstract

Background: The burden of cleft lip and palate (CLP) in the developing world is being tackled by local hospitals and international surgical missions. However, the unmet surgical burden of these conditions is not known, because there are few population-based studies. We conducted this study to find the incidence and prevalence of cleft lip (CL), cleft palate (CP), and CLP and also estimate the unmet burden of these conditions.

Methods: Four blocks comprising of half a million people in the Patan district of Gujarat were chosen as the study areas. This study was conducted over a period of 3 months in 2009. Patients with CL, CP, and CLP were identified by community health workers using snowball sampling method. Data collected included demographics, type of cleft, operated or not, and place of operation. Disability adjusted life years (DALY) was calculated to measure the unmet burden of this disease.

Results: The most common among the three conditions was CL (69.4 %). Overall, cleft abnormalities were more common in males (61 %). The overall incidence and prevalence of cleft deformity was 0.73 per 1,000 live births and 0.1 per 1,000 people respectively. The unmet burden of surgical disease of these four blocks was 230 to 494 DALYs.

Conclusions: The incidence of CL with or without palate was found to be 0.7 per 1,000 live births. The large number of unoperated cases (backlog) of cleft deformities suggests a big burden of unmet need in rural India.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Child
  • Cleft Lip / epidemiology*
  • Cleft Lip / surgery
  • Cleft Palate / epidemiology*
  • Cleft Palate / surgery
  • Cost of Illness
  • Cross-Sectional Studies
  • Disability Evaluation
  • Female
  • Humans
  • Incidence
  • India / epidemiology
  • Male
  • Needs Assessment
  • Plastic Surgery Procedures / statistics & numerical data
  • Prevalence
  • Research Design
  • Rural Health / statistics & numerical data