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

Author:

O’Connor YvonneORCID,Andreev Pavel,O’Reilly Philip

Abstract

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.

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference90 articles.

1. Lee J-H. Future of the smartphone for patients and healthcare providers. Healthcare Inform Res. 2016;22(1):1–2.

2. Sherer S, Meyerhoefer C, Levick D. Challenges to aligning coordination technology with organizations, people, and processes in healthcare. In: Proceedings of the 50th Hawaii international conference on system sciences; 2017.

3. Seyedi H, Mohebbifar R, Rafiei S. Quality management system and its role in the quality maturity of training hospitals. J Client-Centered Nursing Care. 2019;5(2):113–22.

4. Kohli R, Tan SS-L. Electronic health records: how can IS researchers contribute to transforming healthcare? MIS Q. 2016;40(3):553–73.

5. Sarre S, Maben J, Griffiths P, Chable R, Robert G. The 10-year impact of a ward-level quality improvement intervention in acute hospitals: a multiple methods study. Southampton: NIHR Journals Library, Health Services and Delivery Research. 2019;7(28).

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