Evidence map›Paper›PMID 40340842›Full record

ArticleJMIR human factors2025

Use and Acceptance of Innovative Digital Health Solutions Among Patients and Professionals: Survey Study.

Fritz Seidl, Florian Hinterwimmer, Ferdinand Vogt, Günther M Edenharter, Karl F Braun, Rüdiger von Eisenhart-Rothe, AG Digitalisierung der DGOU, Peter Biberthaler, Dominik Pförringer

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Fritz SeidlDepartment of Orthopaedics and Sports Orthopaedics, Klinikum rechts der Isar, Technical University of Munich, TUM University Hospital, Ismaninger Str. 22, Munich, 81675, Germany, 49 89-4140-1063.ORCID http://orcid.org/0000-0002-4645-1048
Florian HinterwimmerDepartment of Orthopaedics and Sports Orthopaedics, Klinikum rechts der Isar, Technical University of Munich, TUM University Hospital, Ismaninger Str. 22, Munich, 81675, Germany, 49 89-4140-1063.ORCID http://orcid.org/0000-0002-0273-0643
Ferdinand VogtDepartment of Cardiac Surgery, Artemed Clinic Munich South, Munich, Germany.ORCID http://orcid.org/0000-0002-1924-6823
Günther M EdenharterDepartment of Anaesthesiology, Klinikum rechts der Isar, Technical University of Munich, TUM University Hospital, Munich, Germany.ORCID http://orcid.org/0000-0003-4248-1976
Karl F BraunDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, TUM University Hospital, Munich, Germany.ORCID http://orcid.org/0000-0003-2420-7201
Rüdiger von Eisenhart-RotheDepartment of Orthopaedics and Sports Orthopaedics, Klinikum rechts der Isar, Technical University of Munich, TUM University Hospital, Ismaninger Str. 22, Munich, 81675, Germany, 49 89-4140-1063.ORCID http://orcid.org/0000-0002-2352-1357
AG Digitalisierung der DGOU
Peter BiberthalerDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, TUM University Hospital, Munich, Germany.ORCID http://orcid.org/0000-0003-2082-080X
Dominik PförringerDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, TUM University Hospital, Munich, Germany.ORCID http://orcid.org/0000-0002-0682-8293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital solutions are gaining increasing importance and present a challenge regarding their introduction and acceptance into professional medical environments. Significant advances have been made regarding the availability, safety, and ease of use of data generated by a multitude of devices and wearables. However, data security and data protection are delaying factors. The underlying analysis focuses on the use and acceptance of digital solutions, and their respective differences between health care professionals and patients. Objective: This study examines the current use and acceptance of digital solutions among health care professionals and patients. In addition, it derives an outlook on future developments and expectations in the setting of innovative technologies able to penetrate the health market. Methods: An anonymous web-based survey of 23 multiple-choice and 3 open-text questions was conducted among medical professionals and patients between April and September 2023. In this study, quantitative analysis was performed using Python, with Pandas for data processing and Matplotlib for visualization. Chi-square tests were used to analyze binary categorical data, while Mann-Whitney U tests were used to evaluate ordinal data. Additionally, a qualitative analysis was conducted to summarize the results of the open-ended questions. Results: During 178 days, the survey garnered 2058 clicks, resulting in 1389 participants (67.5% response rate). A total of 1002 participants completed the entire questionnaire, while 387 (27.9%) did not finish. Incomplete responses were excluded from the comprehensive analysis. The sample comprised 271 (27%) physicians and 731 (73%) patients. The study found significant agreement between both groups in adopting and foreseeing the use of digital health tools and telemedicine. Both groups recognized the future importance of digital health without substantial differences. Conclusions: Overall, attitudes toward digital health and telemedicine were consistent, reflecting a uniform acceptance and expectation of these technologies among health care professionals and patients. The consensus on telemedicine's future role over the next 5 years indicates a unified vision for digital health paradigms. These consistencies between the 2 groups might be future drivers for improvements in accessibility, convenience, and efficiency in health care delivery.

Indexed as

Attitude of Health PersonnelHealth PersonnelPatientsTelemedicineAdultDigital HealthFemaleHumansMaleMiddle AgedSurveys and Questionnairesadoptiondigital healtheHealthinformationmedical data usesurvey

Identifiers

PMID40340842
PMCPMC12080968

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.