ArticleNPJ digital medicine2024
Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis.
Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
61 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Impact of Digitalization on European General Practice From the Perspective of General Practitioners: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Cumulative Burden of Digital Health Technologies for Patients With Multimorbidity: A Systematic Review.JAMA network open · 2025Pooled it
- Health workers' adoption of digital health technology in low- and middle-income countries: a systematic review and meta-analysis.Bulletin of the World Health Organization · 2025Pooled it
- Validating DigiHEALTHQUAL for measuring digital health effects on service quality in outpatient care in Germany.NPJ digital medicine · 2026Article
- Digital health applications, telemedicine and large language models in dermatology: results of a Germany-wide survey.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026Article
- Nurses' Engagement in Digital Health Clinical Trials Using Unobtrusive Monitoring Technologies: Constructivist Grounded Theory Study.Journal of medical Internet research · 2026Article
- MediaPipe-Based Activity Analysis by Healthcare Professionals: Method Development and Technology Acceptance-A Pilot Study.Sensors (Basel, Switzerland) · 2026Article
- Health System- and Payer-Level Decision-Making Processes Influencing the Adoption and Sustainability of Patient-Facing Digital Health Tools: Qualitative Study.Journal of medical Internet research · 2026Article
- Clinical Decision Support for Digital Dietary Counseling Under GLP-1 Receptor Agonist Therapy: Convergent Mixed Methods Usability and Treatment Satisfaction Pilot Study of the Personalized Nutrition Advisor.JMIR formative research · 2026Article
- Evaluating the Effectiveness of Nonpharmacological Self-Management Interventions for Persistent Pain: Protocol for Single-Case Experimental Designs.JMIR research protocols · 2026Article
- Enhancing Care Coordination and Patient Engagement Through Electronic Medical Record Utilization in Primary Healthcare: A Mixed-Methods Study.Healthcare (Basel, Switzerland) · 2026Article
- Medical Practitioners' Acceptance and Use of AI-Based Clinical Decision Support Systems in Western China: A Mixed-Methods Study.Healthcare (Basel, Switzerland) · 2026Article
- Digital Health Technology Use Among Rehabilitation Professionals in China: Multi-Province Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- Barriers and facilitators for implementation of lifestyle related blended care interventions for overweight, obesity and type 2 diabetes mellitus: a scoping review.Implementation science communications · 2026Review
- Unlocking digital health: inequalities in the adoption of a patient portal.BMJ health & care informatics · 2026Article
- Economic evaluation of a digital symptom checker for endometriosis using a Markov decision process model.NPJ digital medicine · 2026Article
- Comparing mental health professionals' willingness to use digital therapeutics: a cross-national survey in South Korea and Germany.BMC health services research · 2026Article
- Barriers and Facilitators of Digital Transformation in Health Care: Mixed Methods Study.Journal of participatory medicine · 2026Article
- Postgraduate digital health training programmes for primary care physicians: a scoping review protocol.BMJ open · 2026Article
- Toward Patient-Centric Digital Monitoring of Obstructive Sleep Apnea: Mixed Methods Study.Journal of medical Internet research · 2026Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extensive research has shown the potential value of digital health solutions and highlighted the importance of clinicians' adoption. As general practitioners (GPs) are patients' first point of contact, understanding influencing factors to their digital health adoption is especially important to derive personalized practical recommendations. Using a mixed-methods approach, this study broadly identifies adoption barriers and potential improvement strategies in general practices, including the impact of GPs' inherent characteristics - especially their personality - on digital health adoption. Results of our online survey with 216 GPs reveal moderate overall barriers on a 5-point Likert-type scale, with required workflow adjustments (M = 4.13, SD = 0.93), inadequate reimbursement (M = 4.02, SD = 1.02), and high training effort (M = 3.87, SD = 1.01) as substantial barriers. Improvement strategies are considered important overall, with respondents especially wishing for improved interoperability (M = 4.38, SD = 0.81), continued technical support (M = 4.33, SD = 0.91), and improved usability (M = 4.20, SD = 0.88). In our regression model, practice-related characteristics, the expected future digital health usage, GPs' digital affinity, several personality traits, and digital maturity are significant predictors of the perceived strength of barriers. For the perceived importance of improvement strategies, only demographics and usage-related variables are significant predictors. This study provides strong evidence for the impact of GPs' inherent characteristics on barriers and improvement strategies. Our findings highlight the need for comprehensive approaches integrating personal and emotional elements to make digitization in practices more engaging, tangible, and applicable.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.