ArticleJournal of medical Internet research2022
Factors Associated With Telemedicine Use Among German General Practitioners and Rheumatologists: Secondary Analysis of Data From a Nationwide Survey.
Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Digital health in palliative care: use is largely limited to conventional technologies - a cross-sectional survey of healthcare professionals.BMC health services research · 2026Article
- Telemedicine adoption in cardiology: Determinants and predictors identified using Bayesian Model Averaging and Machine Learning.PLOS digital health · 2026Article
- Digital interactions with the pharmaceutical industry: a qualitative focus group study on the perspectives of rheumatology care providers in Germany.BMC rheumatology · 2026Article
- Factors Influencing Adherence to Non-Invasive Telemedicine in Heart Failure: A Systematic Review.Clinics and practice · 2025Review
- Insights Into How mHealth Applications Could Be Introduced Into Standard Hypertension Care in Germany: Qualitative Study With German Cardiologists and General Practitioners.JMIR mHealth and uHealth · 2025Article
- The Role of the Installed Base in Information Exchange Among General Practitioners in Germany: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Willingness of healthcare professionals in China to continue participating in and recommend telemedicine post COVID-19 pandemic.Scientific reports · 2025Article
- Benefits and Barriers to mHealth in Hypertension Care: Qualitative Study With German Health Care Professionals.JMIR human factors · 2025Article
- Telehealth for primary healthcare delivery in rural and remote contexts in high-income countries-a scoping review.mHealth · 2025Review
- mHealth Apps for Hypertension Self-Management: Interview Study Among Patient-Users.JMIR formative research · 2024Article
- Identification of Motivational Determinants for Telemedicine Use Among Patients With Rheumatoid Arthritis in Germany: Secondary Analysis of Data From a Nationwide Cross-Sectional Survey Study.Journal of medical Internet research · 2024Article
- Factors associated with the willingness to provide telerehabilitation by physiotherapists treating older adults or people with neurological diseases during the COVID-19 pandemic in Sweden.PLOS digital health · 2024Article
- Digital health competencies and affecting factors among healthcare professionals: additional findings from a systematic review.Journal of research in nursing : JRN · 2024Article
- Acceptance of Telemedicine by Specialists and General Practitioners in Cardiology Care: Cross-Sectional Survey Study.JMIR formative research · 2024Article
- Willingness, perceived facilitators and barriers to use remote care among healthcare professionals - a cross-sectional study.BMC health services research · 2023Article
- Factors Associated With Telemedicine Use Among Patients With Rheumatic and Musculoskeletal Disease: Secondary Analysis of Data From a German Nationwide Survey.Journal of medical Internet research · 2023Article
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Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious studies have demonstrated telemedicine (TM) to be an effective tool to complement rheumatology care and address workforce shortage. With the outbreak of the SARS-CoV-2 pandemic, TM experienced a massive upswing. However, in rheumatology care, the use of TM stagnated again shortly thereafter. Consequently, the factors associated with physicians' willingness to use TM (TM willingness) and actual use of TM (TM use) need to be thoroughly investigated.
objectiveThis study aimed to identify the factors that determine TM use and TM willingness among German general practitioners and rheumatologists.
methodsWe conducted a secondary analysis of data from a German nationwide cross-sectional survey with general practitioners and rheumatologists. Bayesian univariate and multivariate logistic regression analyses were applied to the data to determine which factors were associated with TM use and TM willingness. The predictor variables (covariates) that were studied individually included sociodemographic factors (eg, age and sex), work characteristics (eg, practice location and medical specialty), and self-assessed knowledge of TM. All the variables positively and negatively associated with TM use and TM willingness in the univariate analysis were then considered for Bayesian model averaging analysis after a selection based on the variance inflation factor (≤2.5). All analyses were stratified by sex.
resultsUnivariate analysis revealed that out of 83 variables, 36 (43%) and 34 (41%) variables were positively or negatively associated (region of practical equivalence≤5%) with TM use and TM willingness, respectively. The Bayesian model averaging analysis allowed us to identify 13 and 17 factors of TM use and TM willingness, respectively. Among these factors, being female, having very poor knowledge of TM, treating <500 patients per quarter, and not being willing to use TM were negatively associated with TM use, whereas having good knowledge of TM and treating >1000 patients per quarter were positively associated with TM use. In addition, being aged 51 to 60 years, thinking that TM is not important for current and future work, and not currently using TM were negatively associated with TM willingness, whereas owning a smart device and working in an urban area were positively associated with TM willingness.
conclusionsThe results point to the close connection between health care professionals' knowledge of TM and actual TM use. These results lend support to the integration of digital competencies into medical education as well as hands-on training for health care professionals. Incentive programs for physicians aged >50 years and practicing in rural areas could further encourage TM willingness.
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