Evaluation of demands, usage and unmet needs for emergency care in Yaoundé, Cameroon: a cross-sectional study

BMJ Open. 2017 Feb 6;7(2):e014573. doi: 10.1136/bmjopen-2016-014573.

Abstract

Objectives: To assess the burden of emergent illnesses and emergency care system usage by Yaoundé residents and to evaluate unmet needs for emergency care and associated barriers.

Design: A cross-sectional study using a community-based survey.

Setting: Yaoundé, Cameroon.

Participants: All residents living in Yaoundé were selected as the target population to investigate the needs and usage of emergency care in Yaoundé. 14 households in every health area (47 in total) were selected using 2-stage sampling.

Primary outcome measures: Unmet needs for emergency care.

Results: Among the 3201 participants from 619 households who completed the survey, 1113 (34.8%) with median age of 22 experienced 1 or more emergency conditions in the previous year. Respondents who experienced emergency conditions used emergency units (7.0%), outpatient clinics (46.5%) or hospitalisation (13.0%), and in overall, 68.8% of them reported unmet needs for emergency care. The primary reasons for not seeking healthcare were economic issues (37.2%) and use of complementary medicine (22.2%). Young age (adjusted OR (95% CI) 1.80 (1.23 to 2.62)), rental housing (1.50 (1.11 to 2.03)) and moderate household income (0.60 (0.36 to 0.99)) were associated with unmet needs for emergency care.

Conclusions: Residents of Yaoundé had a high demand for emergency care, and high unmet needs were observed due to low emergency care usage. Development of a cost-effective, universal emergency care system is urgently needed in Cameroon.

Keywords: Cameroon; Emergency Medical Services; Needs Assessment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Cameroon / epidemiology
  • Child
  • Child, Preschool
  • Cross-Sectional Studies
  • Emergency Service, Hospital / organization & administration*
  • Female
  • Health Services Accessibility / statistics & numerical data*
  • Health Services Needs and Demand / statistics & numerical data*
  • Humans
  • Infant
  • Infant, Newborn
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Needs Assessment / organization & administration*
  • Social Class
  • Young Adult