Cited by 274Telemedicine and Telehealth ImplementationMobile Health and mHealth ApplicationsHealth Literacy and Information Accessibility

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Ready for eHealth? Health professionals' acceptance and adoption of eHealth interventions in inpatient routine care

Hennemann, Severin, Beutel, Manfred E., Zwerenz, Rüdiger·2017·Journal of Health Communication

DOI 10.1080/10810730.2017.1284286

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Abstract

eHealth interventions can be effective in treating health problems. However, adoption in inpatient routine care seems limited. The present study therefore aimed to investigate barriers and facilitators to acceptance of eHealth interventions and of online aftercare in particular in health professionals of inpatient treatment. A total of 152 out of 287 health professionals of various professional groups in four inpatient rehabilitation facilities filled out a self-administered web-based questionnaire (response rate: 53%); 128 individuals were eligible for further data analysis. Acceptance and possible predictors were investigated with a complex research model based on the Unified Theory of Acceptance and Use of Technology. Acceptance of eHealth interventions was rather low (M = 2.47, SD = 0.98); however, acceptance of online aftercare was moderate (M = 3.08, SD = 0.96, t(127) = 8.22, p < .001), and eHealth literacy was elevated. Social influence, performance expectancy, and treatment-related internet and mobile use significantly predicted overall acceptance. No differences were found between professional and age groups. Although acceptance of eHealth interventions was limited in health professionals of inpatient treatment, moderate acceptance of online aftercare for work-related stress implies a basis for future implementation. Tailored eHealth education addressing misconceptions about inferiority and incongruity with conventional treatment considering the systemic aspect of acceptance formation are needed.

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Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Untitled work
(2010) · Cited by 7,034
Likert scales, levels of measurement, and the “laws” of statistics
Norman, G. (2010) · Advances in Health Sciences Education · doi:10.1007/s10459-010-9222-y · Cited by 4,850
The reliability of a two-item scale: Pearson, Cronbach, or spearman-brown?
Eisinga, R., Grotenhuis, M. T., & Pelzer, B. (2013) · International Journal of Public Health · doi:10.1007/s00038-012-0416-3 · Cited by 2,695
eHEALS: The eHealth Literacy Scale
Norman, C. D., & Skinner, H. A. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.4.e27 · Cited by 2,680
eHealth Literacy: Essential Skills for Consumer Health in a Networked World.
Norman, C. D., & Skinner, H. A. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.2.e9 · Cited by 2,643
Using the Internet to Promote Health Behavior Change: A Systematic Review and Meta-analysis of the Impact of Theoretical Basis, Use of Behavior Change Techniques, and Mode of Delivery on Efficacy
Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1376 · Cited by 2,517
“The Medical Journal of Australia”
(1923) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1923.tb64467.x · Cited by 1,549
The Global Burden of Chronic Diseases: Overcoming Impediments to Prevention and Control
Yach, D., Hawkes, C., Gould, C. L., & Hofman, K. J. (2004) · JAMA · doi:10.1001/jama.291.21.2616 · Cited by 1,369

Show all 70 references

Research works printed but not linked: 6

Abbott J.-A., 2015, InPsych: The Bulletin of the Australian Psychological Society Ltd, 37, 18
Djamasbi S., 2009, JITTA: Journal of Information Technology Theory and Application, 10, 41
European Commission, 2007, eHealth for safety report
Haupt E., 1998, Rehabilitationsmedizin. Therapie-Und Betreuungskonzepte Bei Chronischen Krankheiten
Hing E., 2010, National Health Statistics Report, 1
Menachemi N., 2006, Journal of Healthcare Information Management, 20, 79

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BackgroundResult
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Background
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“It is known that adoption and development of eHealth solutions rely heavily on the staff involved [33, 34] and their previous experiences of eHealth.”
Background
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“Acceptance at an individual level is associated with the intention to use eHealth and contributes to the success or failure of eHealth implementation [17,18].”
Influential
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Method
Driving new technologies in hospitals: association of organizational and personal factors with the readiness of neonatal intensive care unit staff toward webcam implementation
Hoffmann, J., Reimer, A., Mause, L., Müller, A., Neo-CamCare, Dresbach, T., & Scholten, N. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08072-5 · Cited by 7
“This finding is consistent with that of Hennemann et al., who found that almost half of the health care professionals in their study sample showed only moderate acceptance of eHealth Interventions [30].”
Background
Perceptions of Dutch general practitioners towards eHealth for patients with type-2 diabetes: a qualitative study
Vonken, L., Hussein, H., Crutzen, R., & Vluggen, S. (2022) · Family Practice · doi:10.1093/fampra/cmac066 · Cited by 7
Does an Internet-Based Emotion Regulation Intervention Provide Added Value for Acute Psychiatric Inpatient Care? Protocol for a Randomized Controlled Pilot Trial
Bielinski, L. L., Wälchli, G., Nissen, C., Berger, T., & Moggi, F. (2023) · JMIR Research Protocols · doi:10.2196/47656 · Cited by 6
“Moreover, general attitudes toward and acceptance of internet interventions by mental health professionals working in psychiatric hospitals have also been examined [23,24].”
Motivational Interviewing Interventions
Berman, A. H., Beckman, M., & Lindqvist, H. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108677318.045 · Cited by 12
Acceptance and use of digital health technologies among physiotherapists in Germany: a web-based cross-sectional survey
Sahan, F., Gutermuth, A., Müller, J. A., Muth, T., Panitz, K., & Apolinário-Hagen, J. (2026) · BMC Health Services Research · doi:10.1186/s12913-026-14005-3 · Cited by 6
“Acceptance and its determinants were assessed using an adapted version of the Unified Theory of Acceptance and Use of Technology (UTAUT; [47]), based on previously validated adaptations by Hennemann et al. [48] and Liu et al. [49].”
Barriers and Facilitators to the Acceptance of eHealth Interventions by Dutch Pediatric Physical Therapists in Times of the COVID-19 Pandemic: A Mixed-Methods Approach
Pelckmans, M., Nijmolen, P., Bloemen, M. A. T., Kuijpers, E., Meershoek, A., & Rameckers, E. A. A. (2023) · Pediatric Physical Therapy · doi:10.1097/pep.0000000000000998 · Cited by 5
Health professionals’ experiences with a patient portal pre and post launch: A qualitative study
Janssen, A. L., Keep, M., Selvadurai, H. C., & Shaw, T. J. (2023) · Health Policy and Technology · doi:10.1016/j.hlpt.2023.100761 · Cited by 6
What Motivates People to Adopt Personal Health Record? Understanding the Effect of Innovation and Context-Specific Threat on Personal Health Record Adoption Intention
Dutta, B. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2223821 · Cited by 5
“This finding supported previous studies exploring users ’ IS acceptance (Dutta et al., 2018; Dutta & Hwang, 2020; Hennemann et al., 2017; Hossain et al., 2019; Hwang et al., 2019).”
Digitale, personalisierte Gesundheitsinformationsangebote von Ärzt*innen: Ergebnisse einer Befragung von Patient*innen und Ärzt*innen zu Akzeptanz und Anforderungen
Link, E., & Memenga, P. (2023) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-023-03750-z · Cited by 7
Neue Medien in der Psychotherapie: Blended Therapy aus der Sicht ambulanter Psychotherapeuten
Paul, J., Grünzig, S.-D., Baumeister, H., Bengel, J., & Krämer, L. V. (2019) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-0824-7557 · Cited by 5
“Neben ungeklärten strukturellen Problemen und fehlendem Wissen spielt auch die Einstellung ge genüber Neuen Medien eine wesentliche Rolle in der Frage, ob diese in der Praxis eingesetzt werden [8, 12].”
Background
Barrieren und förderliche Faktoren telemedizinischer Ansätze in der medizinischen Rehabilitation
Farin‐Glattacker, E., Schmidt, E., & Spohn, L. (2019) · Springer eBooks · doi:10.1007/978-3-658-23987-9_8 · Cited by 6
Economic and Behavioral Economic Approaches to Behavior Change
Brown, P. M., Cameron, L. D., Wilkinson, M., & Taylor, D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108677318.042 · Cited by 7
I Need to Know: Using the CeHRes Roadmap to Develop a Treatment Feedback Tool for Youngsters with Mental Health Problems
Bongers, I. L., Buitenweg, D. C., van Kuijk, R. E. F. M., & van Nieuwenhuizen, C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191710834 · Cited by 7
“The professional perspective has been identified as very important in the development of e-mental health applications [40,41].”
Background
Changing Behavior Using Integrative Self-Control Theory
Hofmann, W., Dohle, S., & Diel, K. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108677318.011 · Cited by 7
Affect-Based Interventions
Conner, M. T., Williams, D. M., & Rhodes, R. E. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108677318.034 · Cited by 6
E-Mental Health Interventions in Inpatient Care: Scoping Review
Diel, A., Schröter, I. C., Robitzsch, A., Jansen, C., Teufel, M., & Bäuerle, A. (2025) · Journal of Medical Internet Research · doi:10.2196/65947 · Cited by 5
“The acceptance of interventions from the perspective of health professionals was also evaluated, with questionnaires based on the UTAUT model [89,94,97].”
Comparison of the level of eHealth literacy between patients with COPD and registered nurses with interest in pulmonary diseases
Palshof, M. K., Jeppesen, F. K. H., Thuesen, A. D., Holm, C. S., Brøndum, E., & Kayser, L. (2023) · Computer Methods and Programs in Biomedicine Update · doi:10.1016/j.cmpbup.2023.100121 · Cited by 5
Addressing Underserved Populations and Disparities in Behavior Change
Schüz, B., & Hooper, M. W. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108677318.027 · Cited by 5
Enabling technological innovation in healthcare: A knowledge creation model perspective
Centobelli, P., Cerchione, R., Esposito, E., & Riccio, E. (2021) · doi:10.1109/temscon-eur52034.2021.9488590 · Cited by 6
Hearing health professionals’ attitudes and perceived skills toward artificial intelligence
Ferland, J., Guitton, M. J., & Sharp, A. (2026) · BMC Medical Education · doi:10.1186/s12909-025-08505-9 · Cited by 5
“However, our results are comparable with to those observed in a sample of 149 German healthcare professionals (including nurses, psychologists, physical therapists, physicians, occupational therapists) who reported a mean score of 31.84 compared to the 30.52 found in our study [49].”
Influential
Changing Behavior in the Digital Age
Kavanagh, D. J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108677318.029 · Cited by 4
Impact of Perceived Quality of E-Health Services on Patient Behavioral Intention to Use E-Health Services: A Moderating Role of Knowledge of E-Health Management
Alshammari, T. A., Alshammary, K. M., & Alshammari, F. M. M. (2022) · Journal of Economics and Behavioral Studies · doi:10.22610/jebs.v14i1(j).3293 · Cited by 5
Determining the acceptance of e-mental health interventions in elite athletes using the unified theory of acceptance and use of technology
Geiger, S., Aufderlandwehr, J., Esser, A. J., Schadendorf, T., Muehlbauer, T., Skoda, E., Teufel, M., & Bäuerle, A. (2024) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2024.1416045 · Cited by 6
Intent and the Use of Wearables in the Workplace – A Model Development
Oesterle, S., Trübenbach, B., & Buck, C. (2019) · Journal of the Association for Information Systems · Cited by 4
Theoretical Model of Determinants Factors of Health Information Technology (HIT) Acceptance
Sevani, N., & Marpaung, B. (2018) · International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) · doi:10.1109/isriti.2018.8864471 · Cited by 4
“Several models are widely accepted to measure user acceptance of technology and to measure determinant factors of the user acceptance, such as: Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), Diffusion of Innovation (DOI), and Fit between Individuals, Task, and Technology…”
Background
Erwartungen und Informationsbedarf von Rehabilitanden bezüglich stationärer psychosomatischer Rehabilitation
Schury, K., Beutel, M. E., Gerzymisch, K., Schattenburg, L., Siepmann, M., Schmädeke, S., & Zwerenz, R. (2018) · Die Rehabilitation · doi:10.1055/a-0645-9142 · Cited by 4
“Weiterhin einschränkend zu bewerten ist, dass Rehabilitanden, ebenso wie ihre Behandler Online-Interventionen, zumindest im Bereich der Nachsorge immer noch eher skeptisch gegenüber stehen [25, 26].”
Background
WHAT BRINGS WOMEN INTO EHEALTH? WOMEN'S CAREER TRAJECTORIES IN DIGITAL TRANSFORMATIONS IN HEALTHCARE
Cajander, Å., Corneliussen, H. G., & Dyb, G. M. A. K. (2020) · IADIS International Conference on e-Health (EH) · doi:10.33965/eh2020_202009l009 · Cited by 4
“However, not all eHealth projects succeed and there are numerous studies describing problems with IT implementation (Hennemann et al., 2017).”
Background
Understanding Dermatologists’ Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis
Reinders, P., Augustin, M., & Otten, M. (2025) · JMIR Human Factors · doi:10.2196/59757 · Cited by 2
“Nevertheless, it is noteworthy that dermatologists differ in their perspectives and adoption of DHIs, shaped by various factors including younger age, practicing in urban settings, positive prior experiences with DHIs, or the social influence of colleagues [28-30].”
A Freely Accessible, Anonymous Online Treatment for Social Anxiety: Protocol for a Partially Randomized Patient Preference Trial
Arnold, S., Vogt, M., Boettcher, J., Fenski, F., Šipka, D., Elson, M., & Berger, T. (2025) · JMIR Research Protocols · doi:10.2196/77573 · Cited by 3
“Although many of these DMHIs are being evaluated in research and implemented in routine practice [4], the acceptance and use of such interventions remain relatively low among health care personnel and potential users [5-7].”
Exploring subgroups of acceptance prediction for e-mental health among psychotherapists-in-training: a latent class analysis
Staeck, R., Stüble, M., & Drüge, M. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1296449 · Cited by 4
“Compared with our classes, we did not ﬁ nd any signi ﬁ cant difference regarding age, but in line with Hennemann et al. (18) more prior experience was also found in Class 1, which also had a higher acceptance score.”
BackgroundMethodResultInfluential
Implementation of an electronic patient portal in routine mental health care of hospitals in Germany – evaluation of attitudes of healthcare providers
Reinhardt, I., Holsten, R., Zielasek, J., Kuhlmann, L., & Gouzoulis‐Mayfrank, E. (2024) · BMC Health Services Research · doi:10.1186/s12913-024-11686-6 · Cited by 3
“Previous studies demonstrated that a severe course of disease [23, 24] and insufficient (technical) infrastructure [37] were perceived obstacles that prevented mental health providers from offering digital interventions to their patients.”
Background
Measuring Managerial, Collegial, and Organizational Aspects Associated With Digital Health Competence in Healthcare Professionals: Validation of the Chinese Version of the DigiComInf Instrument
Gao, L., Wang, J., Chen, M.-L., Wei, J., & Liao, X. (2025) · Journal of Nursing Management · doi:10.1155/jonm/8854459 · Cited by 3
“Additionally, colleagues’ social infuence impacts individuals [15], as their acceptance and competence levels afect others’ willingness to adopt digital solutions in their work [11].”
Sağlık Çalışanlarının Bilgi Teknolojileri ve Yeniliklerine İlişkin Davranışsal Tutumunun Utaut-2 Teorisiyle İncelenmesi
YILDIZ, Y. K., & Dınçer, H. (2021) · Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi · doi:10.37989/gumussagbil.904912 · Cited by 3
Understanding Wearable Device Adoption: Review on Adoption Factors and Directions for Further Research in Smart Healthcare
Hossain, M. I., Yusof, A. F., & Shanmugam, M. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-030-98741-1_54 · Cited by 3
Preferences, willingness, and demand among doctors in relation to internet hospital consultations: A discrete choice experiment
Wu, M., Li, Y., & Ma, C. (2023) · Informatics and Health · doi:10.1016/j.infoh.2023.09.001 · Cited by 3
Implementation of a conversational, videoconferencing-based therapy group for postpartum depression and anxiety symptoms: A pragmatic evaluation
Hussain‐Shamsy, N., Wasserman, L., Cook, G. S., Macdonald, K., Greene, K., Barker, L. C., Zaheer, J., Mukerji, G., Vigod, S. N., & Seto, E. (2024) · Digital Health · doi:10.1177/20552076241269630 · Cited by 3
“…group can be successfully used): Technical feasibility was measured in the pre-group survey by administering the eHealth Literacy Scale (eHEALS) 41,42 to assess readiness for successful engagement with health Overview of patient-reported experience measures and outcome measures,described in terms…”
Method
A qualitative analysis of healthcare professionals’ experiences with an internet-based emotion regulation intervention added to acute psychiatric inpatient care
Bielinski, L. L., Wälchli, G., Lange, A., von Känel, E., Demel, L. K., Nissen, C., Moggi, F., & Berger, T. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-06365-z · Cited by 3
“This theme resonates with previous research showing the lack of experience with digital interventions in psychiatric inpatient care [2, 13, 15].”
Facing frailty by effective digital and patient-provider communication?
van Weert, J. C. M. (2020) · Patient Education and Counseling · doi:10.1016/j.pec.2020.02.020 · Cited by 3
Attitudes towards virtual reality usage in exposure treatment: Data from German practitioners and how a demonstration changes them.
Badeja, D., Schier, F., McGinity, M., & Hoyer, J. (2026) · Psychotherapy Research · doi:10.1080/10503307.2025.2534978 · Cited by 2
“…Effort Expectancy, Social Influence, and Facilitating Conditions were evaluated using self-report items adapted from eMH studies (Baumeister et al., 2020; Braun et al., 2022; Hennemann et al., 2017), with responses on a five-point Likert scale from do not agree at all (1) to totally agree (5).”

Authors: Hennemann, S., Beutel, M. E., & Zwerenz, R.
Affiliations: Johannes Gutenberg University Mainz (DE)
University Medical Center of the Johannes Gutenberg University Mainz (DE)
Corresponding author: Hennemann, Severin
ORCID: Hennemann, Severin
Beutel, Manfred E.
Zwerenz, Rüdiger
Venue: Journal of Health Communication
Publisher: Informa UK Limited
Published: 2017-02-19
Volume: 22
Issue: 3
Pages: 274-284
ISSN: 1081-0730 (ISSN-L)
1087-0415
DOI: 10.1080/10810730.2017.1284286
OpenAlex: W2587843908
Cited by: 274
References: 70
Citations by year: 2026: 20 · 2025: 16 · 2024: 24 · 2023: 33 · 2022: 44 · 2021: 35 · 2020: 71 · 2019: 18 · 2018: 10 · 2017: 3
FWCI: 26.28
Type: journal article
Language: en
Open access: closed
Locations: Journal of Health Communication (publishedVersion)
PubMed (publishedVersion)
Funders: Illa and Werner Zarnekow Foundation (T225-22.771)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
Keywords: digital health interventions, healthcare workers, technology acceptance, inpatient care, Unified Theory of Acceptance and Use of Technology, digital health literacy, barriers and facilitators, inpatient rehabilitation, occupational stress, social influence, performance expectancy
MeSH terms: Adult, Cross-Sectional Studies, Female, Health Personnel, Hospitalization, Humans, Male, Middle Aged, Telemedicine, Health Care Surveys, Young Adult

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Ready for eHealth? Health professionals' acceptance and adoption of eHealth interventions in inpatient routine care

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