Determinant factors in adopting mobile health application in healthcare by nurses

Soghra Nezamdoust · Mohammadhiwa Abdekhoda · Azad Rahmani

78 citations0/0 files storedBMC Medical Informatics and Decision Making

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Technology Adoption and User Behaviour Mobile Health and mHealth Applications Health, Technology, Consumer Behavior

Abstract

Abstract Background Mobile applications are among effective learning tools and have a significant role in transferring information and knowledge to nurses. The current study was carried to identify the factors affecting nurses’ use of practical health related mobile applications in education and patient interaction based on the combined Technology Acceptance Model (TAM) and Diffusion of Innovation (DOI). Method The study is a descriptive-analytical study with a cross-sectional method. The research population includes nurses working at Tabriz University of Medical Sciences hospitals, 150 of which were selected as the research sample using simple and available sampling. The data collection instrument was a questionnaire, the validity and reliability of which were confirmed (α = 0.9). Data analysis was carried out using a correlation test and regression analysis by applying SPSS v16 software. Results The findings show that perceived usefulness and perceived ease of use have a direct and significant effect on the rate of using mobile applications by nurses (P value ≤ 0.01), [(β = 0.52), (β = 0.40)]. Other findings indicate that relative advantage, compatibility, trialability and observability, have a direct and significant effect on nurses’ use of mobile applications, while complicatedness does not have a significant effect. Conclusion The current study identifies the effective factors in nurses’ use of health-related mobile applications based on an integrated model of TAM and DOI. Designers of mobile applications should consider these factors in designing and developing programs so that mobile applications can successfully fulfill their purpose in healthcare.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 78 citations exist upstream.

References

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2009Diffusion of Innovations 2007An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry 2010Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors 2003Adoption of Broadband Internet in Korea: The Role of Experience in Building Attitudes 2008Health IT acceptance factors in long-term care facilities: A cross-sectional survey 2007Testing the technology acceptance model for evaluating healthcare professionals' intention to use an adverse event reporting system 2004Nurses’ adoption of technology: Application of Rogers’ innovation-diffusion model

Cited by

2024The intention to adopt metaverse in Islamic banks: an integrated theoretical framework of TAM and religiosity intention model 2024Exploring the key factors influencing the actual usage of digital tax platforms 2024Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model 2023Design and development of a mobile-based self-care application for patients with depression and anxiety disorders

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.