Online medical services utilization evaluated through the lens of socioecological theory and the information-motivation-behavioral skills model: evidence from China

Ann N Y Acad Sci. 2021 Sep;1500(1):82-92. doi: 10.1111/nyas.14609. Epub 2021 May 13.

Abstract

Online medical services (OMS) have become increasingly advantageous, but there are still several barriers to utilization among patients. This study aims to explore the factors influencing OMS utilization (OMSU) for patients in micro-, meso-, and macrosystems based on socioecological theory (SET) and from the perspective of the information-motivation-behavioral skills (IMB) model. We selected 1065 participants through multistage stratified cluster random sampling in Jiangsu, China. In microsystems, information and behavioral skills were positively associated with intention (β = 0.84; β = 3.21) and actual utilization (OR = 1.69; OR = 1.69). Education level (β = 0.83) and personal motivation (β = 1.68) were positively related to intention. Chronic diseases (OR = 2.03) had a positive relationship with actual use. In mesosystems, recommendations from people around the patients (β = 1.14; OR = 1.99), provision of OMS in the nearest primary medical facility (β = 0.98; OR = 3.60), and provision of instructional information by medical institutions (β = 1.01; OR = 1.65) were related to OMSU. The average monthly household income (β = 0.54) was related to intention. Patients who had information about the OMSU experiences of people around them (OR = 1.73) correlated with actual utilization. In macrosystems, the social medical insurance type (OR = 0.66) was associated with OMSU. This study supports the applicability of the SET and IMB model to interpret patients' OMSU.

Keywords: China; information-motivation-behavioral skills model; online medical services utilization; patients; socioecological theory.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Information Seeking Behavior
  • Male
  • Middle Aged
  • Models, Theoretical*
  • Motivation
  • Multivariate Analysis
  • Odds Ratio
  • Online Systems*
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Population Surveillance
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Telemedicine / methods*
  • Telemedicine / statistics & numerical data*
  • Young Adult