MHealth and perceived quality of care delivery: a conceptual model and validation

BMC Med Inform Decis Mak. 2020 Feb 27;20(1):41. doi: 10.1186/s12911-020-1049-8.

Abstract

Background: The objective of this research is to examine, conceptualize, and empirically validate a model of mobile health (mHealth) impacts on physicians' perceived quality of care delivery (PQoC).

Methods: Observational quasi-experimental one group posttest-only design was implemented through the empirical testing of the conceptual model with nine hypotheses related to the association of task and technology characteristics, self-efficacy, m-health utilization, task-technology fit (TTF), and their relationships with PQoC. Primary data was collected over a four-month period from acute care physicians in The Ottawa Hospital, Ontario, Canada. The self-reported data was collected by employing a survey and distributed through the internal hospital channels to physicians who adopted iPads for their daily activities.

Results: Physicians' PQoC was found to be positively affected by the level of mHealth utilization and TTF, while the magnitude of the TTF direct effect was two times stronger than utilization. Additionally, self-efficacy has the highest direct and total effect on mHealth utilization; in the formation of TTF, technological characteristics dominate followed by task characteristics.

Conclusion: To date, the impact of utilized mHealth on PQoC has neither been richly theorized nor explored in depth. We address this gap in existing literature. Realizing how an organization can improve TTF will lead to better PQoC.

Keywords: Information technology utilization; Mobile systems; Post-implementation; Quality of care.

Publication types

  • Observational Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Female
  • Humans
  • Latent Class Analysis
  • Male
  • Middle Aged
  • Models, Theoretical
  • Ontario
  • Physicians / psychology*
  • Quality of Health Care*
  • Reproducibility of Results
  • Self Efficacy*
  • Self Report
  • Task Performance and Analysis
  • Telemedicine / statistics & numerical data*