Cultural Influence on Adoption and Use of e-Health: Evidence in Bangladesh

Telemed J E Health. 2015 Oct;21(10):845-51. doi: 10.1089/tmj.2014.0128. Epub 2015 Sep 8.

Abstract

Background: E-health is an important initiative among the public and private hospitals in Bangladesh in the last few years. The factors influencing e-health adoption have been a well-investigated research area in both developed and developing countries. However, there have been only a few studies exploring the role of cultural factors in the adoption and use of e-health, particularly in developing countries. In this study, we investigated the influence of culture on the adoption of e-health in Bangladesh.

Materials and methods: This study developed a more adequate research framework by integrating Hofstede's cultural dimension model and the Technology Acceptance Model (TAM). A structured questionnaire was used to collect data from respondents in different private and public hospitals in Bangladesh. The partial least squares method, a statistical analysis technique based on the Structural Equation Model, was used to analyze the collected data.

Results: The study found that cultural dimensions such as Power Distance, Masculinity, and Restraint had significant impacts on Intention to Use e-Health, whereas Uncertainty Avoidance, Collectivism, and Pragmatism had no significant impact on Intention to Use e-Health in Bangladesh. The results also revealed that Perceived Usefulness was a significant indicator of e-health adoption decisions, whereas Perceived Ease of Use was an insignificant predictor of e-health adoption.

Conclusions: The findings of this study may assist governments, organizations, and policy makers to understand the key factors affecting e-health adoption and to develop strategies and policies to enhance e-health services in Bangladesh.

Keywords: Technology Acceptance Model; culture; e-Health.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Attitude to Computers*
  • Bangladesh
  • Cultural Characteristics*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Surveys and Questionnaires*
  • Telemedicine*