[Factors associated with senior citizens using primary healthcare services in Cartagena, Colombia]

Rev Salud Publica (Bogota). 2012 Oct;14(5):765-75.
[Article in Spanish]

Abstract

Objective: Establishing the factors associated with using healthcare services for the aged in Cartagena, Colombia.

Methods: This was a cross-sectional study. A 656 sample-size was estimated for a population of 66,795 senior citizens; stratified sampling was used. A questionnaire entitled "Using healthcare services" (Uso de los servicios de salud) was used; descriptive statistics and logistical regression were then used for modeling the probability of being a healthcare service user.

Results: 656 senior citizens participated in the study; average age was 67.9 years old. 407 of the participants had consulted for disease during the last month (62.0 %); 376 of them (92.4 %) had consulted once or twice. Living in socio-economic strata 4, 5 and/or 6 (Chi² 4.14; p=0.043), having a diagnosed disease (Chi² 3.82 p=0,051), suffering from a chronic disease (Chi² 7.0; p=0.008) or waiting for 30 minutes or less to be seen (Chi² 3.17; p=0.075) were factors associated with using primary healthcare services by senior citizens in Cartagena. Having a diagnosed disease (Chi² 3.59; p=0.0581) and waiting for 30 minutes or less to be seen (Chi² 3.02; p=0.0818) were the regression model variables explaining healthcare service use.

Conclusion: A senior citizen using primary healthcare services in Cartagena was influenced by variables such as residing in mid-level socio-economic strata, having a diagnosed disease, suffering from a chronic disease and waiting for 30 minutes or less to be seen.

MeSH terms

  • Aged / psychology*
  • Aged, 80 and over
  • Chronic Disease
  • Colombia
  • Cross-Sectional Studies
  • Diagnosis-Related Groups
  • Female
  • Housing
  • Humans
  • Income
  • Male
  • Motivation
  • Patient Acceptance of Health Care / psychology
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Primary Health Care / statistics & numerical data*
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Time Factors
  • Urban Population / statistics & numerical data