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Mohajeri D, Jahre LM, Bäuerle A, Schieffers T, Messiha D, Rammos C, Teufel M, Rassaf T, Lortz J. Acceptance, Needs, and Demands for Nutritional mHealth Support in Patients with Cardiovascular Disease. Nutrients 2024; 16:4155. [PMID: 39683549 DOI: 10.3390/nu16234155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Revised: 11/28/2024] [Accepted: 11/28/2024] [Indexed: 12/18/2024] Open
Abstract
BACKGROUND Cardiovascular diseases (CVDs) are the leading causes of death globally. Managing risk factors and preventing atherosclerosis and its progress, especially with lifestyle changes, are highly important. Smartphone-based mobile health (mHealth) strategies allow easily accessible assistance for healthy nutrition. This study aimed to assess the acceptance and outline the needs and demands for a nutritional mHealth tool by analyzing the desired characteristics. METHODS A cross-sectional study was conducted between August 2022 and September 2023 targeting 398 individuals with atherosclerosis. Acceptance, needs, and demands regarding mHealth, sociodemographic, medical, psychometric, and electronic health (eHealth) data were assessed. Multiple hierarchical regression analyses were conducted to determine the predictors of acceptance. RESULTS High acceptance for nutritional mHealth was reported by 88.4% (n = 274). Significant predictors of acceptance were age (β = -0.01, p = 0.002), diabetes (β = 0.20, p = 0.041), depressive symptoms (β = -0.02, p = 0.017), digital confidence (β = 0.17, p = 0.001), Internet anxiety (β = -0.18, p = 0.004), and the Unified Theory of Acceptance and Use of Technology (UTAUT) predictors effort expectancy (β = 0.23, p < 0.001) and social influence (β = 0.53, p < 0.001). Preferences included handheld devices, permanent use (86.5%), and weekly (44.5%) new content of 10 to 30 min (79%). CONCLUSIONS These results summarize the patients' preferences for individualized mHealth tools to ensure their effectiveness. Especially regarding the secondary prevention of CVDs, mHealth can be a helpful resource. The high acceptance rate and specific preferences outlined in this study form a strong basis for the development of mHealth tools with a focus on nutritional support in patients with CVDs.
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Affiliation(s)
- Darya Mohajeri
- Department of Cardiology and Vascular Medicine, West-German Heart and Vascular Center Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147 Essen, Germany
| | - Lisa Maria Jahre
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Virchowstr. 174, 45147 Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Virchowstr. 174, 45147 Essen, Germany
| | - Alexander Bäuerle
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Virchowstr. 174, 45147 Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Virchowstr. 174, 45147 Essen, Germany
| | - Theresa Schieffers
- Department of Cardiology and Vascular Medicine, West-German Heart and Vascular Center Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147 Essen, Germany
| | - Daniel Messiha
- Department of Cardiology and Vascular Medicine, West-German Heart and Vascular Center Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147 Essen, Germany
| | - Christos Rammos
- Department of Cardiology and Vascular Medicine, West-German Heart and Vascular Center Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147 Essen, Germany
| | - Martin Teufel
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Virchowstr. 174, 45147 Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Virchowstr. 174, 45147 Essen, Germany
| | - Tienush Rassaf
- Department of Cardiology and Vascular Medicine, West-German Heart and Vascular Center Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147 Essen, Germany
| | - Julia Lortz
- Department of Cardiology and Vascular Medicine, West-German Heart and Vascular Center Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147 Essen, Germany
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Nurtsch A, Teufel M, Jahre LM, Esber A, Rausch R, Tewes M, Schöbel C, Palm S, Schuler M, Schadendorf D, Skoda EM, Bäuerle A. Drivers and barriers of patients' acceptance of video consultation in cancer care. Digit Health 2024; 10:20552076231222108. [PMID: 38188860 PMCID: PMC10768612 DOI: 10.1177/20552076231222108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2023] [Indexed: 01/09/2024] Open
Abstract
Background Due to digitization in the medical sector, many healthcare interactions are switched to online services. This study assessed the acceptance of video consultations (VCs) in cancer care, and determined drivers and barriers of acceptance. Methods A cross-sectional online-based survey study was conducted in Germany from February 2022 to February 2023. Recruitment took place at oncology outpatient clinics, general practitioners, oncology practices and via cancer-related social media channels. Inclusion criteria were a cancer diagnosis, cancer treatment and internet access. Sociodemographic, medical data, eHealth-related data were acquired via an online assessment. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was used to determine the acceptance of VC and its predictors. Results Of N = 350 cancer patients, 56.0% (n = 196) reported high acceptance of VC, 28.0% (n = 98) stated moderate acceptance and 16.0% (n = 56) indicated low acceptance. Factors influencing acceptance were younger age (β = -.28, p < .001), female gender (β = .35, p = .005), stage of disease (β = .11, p = .032), high digital confidence (β = .14, p = .010), low internet anxiety (β = -.21, p = .001), high digital overload (β = -.12, p = .022), high eHealth literacy (β = .14, p = .028), personal trust (β = -.25, p < .001), internet use (β = .17, p = .002), and the UTAUT predictors: performance expectancy (β = .24, p < .001), effort expectancy (β = .26, p < .001), and social influence (β = .34, p < .001). Conclusions Patients' acceptance of VC in cancer care is high. Drivers and barriers to acceptance identified should be considered for personalized applications. Considering the growing demand for cancer care establishing digital healthcare solutions is justified.
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Affiliation(s)
- Angelina Nurtsch
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Martin Teufel
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany
- West German Cancer Center, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Lisa Maria Jahre
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - André Esber
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Raya Rausch
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany
- West German Cancer Center, University Hospital Essen, Essen, Germany
| | - Mitra Tewes
- West German Cancer Center, University Hospital Essen, Essen, Germany
- Department of Palliative Medicine, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Christoph Schöbel
- Faculty of Sleep Medicine and Telemedicine, West German Lung Center, University Medicine Essen - Ruhrlandklinik, University of Duisburg-Essen, Essen, Germany
| | - Stefan Palm
- West German Cancer Center, University Hospital Essen, Essen, Germany
| | - Martin Schuler
- West German Cancer Center, University Hospital Essen, Essen, Germany
- Department of Medical Oncology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Dirk Schadendorf
- West German Cancer Center, University Hospital Essen, Essen, Germany
- Department of Dermatology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Eva-Maria Skoda
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany
- West German Cancer Center, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Alexander Bäuerle
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany
- West German Cancer Center, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany
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