[Reasons for non-acceptance and non-use of a home telemonitoring application by multimorbid patients aged 65 years and over].

Motive für die Nichtakzeptanz und Nichtnutzung einer Telemonitoring-Anwendung im häuslichen Umfeld durch multimorbide Patienten über 65 Jahre.
Anzahl CCC CCM COPD Care- und Casemanager Care-Coordination-Center Chronisch obstruktive Lungenerkrankung GBA GDS Geriatrische Depressionsskala Geriatrisches Basisassessment HP Hausarztpraxis I IADL ICD-10 Instrumentelle Aktivitäten des täglichen Lebens Internationale Klassifikation der Krankheiten, 10. Version Interviewer MMST Mini-Mental-Status-Test Multimorbidität P Patient Patientenakzeptanz von Telemedizin Patientenzufriedenheit RG Risikogruppe SD Standardabweichung TMA Telemedizin Telemonitoring Telemonitoring-Anwendung multimorbidity n patient acceptance of health care patient satisfaction telemedicine telemonitoring

Journal

Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen
ISSN: 2212-0289
Titre abrégé: Z Evid Fortbild Qual Gesundhwes
Pays: Netherlands
ID NLM: 101477604

Informations de publication

Date de publication:
May 2019
Historique:
received: 20 12 2018
revised: 18 02 2019
accepted: 18 02 2019
pubmed: 27 3 2019
medline: 30 6 2019
entrez: 27 3 2019
Statut: ppublish

Résumé

User acceptance is a key indicator and driver for the use and implementation of telemonitoring applications (TMA) in healthcare. Despite various positive effects that previous studies have revealed for users of TMA, there are always patients who discontinue their participation in a telemedicine study or even decline participation. There is little evidence for the reasons for non-acceptance and non-use of TMA, especially in multimorbid patients at the age of 65 and over in their home environment. To close this research gap, this sub-study focuses on patient-reported reasons for non-acceptance and non-use of TMA in the home environment. This study follows a mixed-method approach and focuses on patients' perspective. Quantitative data collection took place via computer-assisted telephone interviews among all drop-outs and non-participants. Qualitative data were collected via semi-structured interviews with drop-out patients and non-users. Eligible patients were recruited consecutively by general practitioners, informed and included in the study according to the inclusion criteria. Amongst others, patients measured their vital signs (blood pressure, heart frequency, oxygen saturation, weight) via telemedical measures and sent them via tablet to a Care Coordination Center to ascertain the need for intervention. Collected data on non-acceptance and non-use of TMA were analyzed quantitatively and qualitatively. Nine general practices in two German cities included a total of 177 patients according to the inclusion criteria. During the study, 61 study participants (34.5 %) dropped out, 80 patients (31.1 %) declined participation in the study. Drop-outs and non-participants were significantly older than active participants (p=.004 and p=.001, respectively). Predominant reasons for drop-out were the lack of the perceived added value and the content-related variety of the program on the patient's tablet, the missing interest/need for telemedical monitoring as well as the time spent participating in the study. Patients living alone, single and widowed patients reported significantly more difficulties in handling the hardware (tablet) (p=.040) and the program (Motiva) (p=.013) than married and cohabiting patients. These reasons were also reported mainly by female patients, patients aged 75 years and over, and those with a low level of education. In order to increase the acceptance and the added value of TMA for patients, the individual needs of the future target group should be analyzed at the beginning of the development. To ensure maximum user centricity, individual development steps should be continuously evaluated by the target group. TMA should be adapted to the functional abilities of elderly, multimorbid patients through, e. g., an appropriate design of the content, which is tailored to patients' individual needs. TMA should be used to an appropriate degree to avoid overburdening and should fit unobtrusively into patients' usual daily routine. For patient-specific acceptance of TMA, easy handling of the telemedical measuring and input devices is as important as the variety of offers on the platform and personal contact for technical queries. Special attention should be paid to patients who live alone, women, elderly patients over 75 years of age, and poorly educated patients in order to ensure full and easy access to technology-based telemonitoring for their own healthcare.

Sections du résumé

BACKGROUND BACKGROUND
User acceptance is a key indicator and driver for the use and implementation of telemonitoring applications (TMA) in healthcare. Despite various positive effects that previous studies have revealed for users of TMA, there are always patients who discontinue their participation in a telemedicine study or even decline participation. There is little evidence for the reasons for non-acceptance and non-use of TMA, especially in multimorbid patients at the age of 65 and over in their home environment. To close this research gap, this sub-study focuses on patient-reported reasons for non-acceptance and non-use of TMA in the home environment.
METHODS METHODS
This study follows a mixed-method approach and focuses on patients' perspective. Quantitative data collection took place via computer-assisted telephone interviews among all drop-outs and non-participants. Qualitative data were collected via semi-structured interviews with drop-out patients and non-users. Eligible patients were recruited consecutively by general practitioners, informed and included in the study according to the inclusion criteria. Amongst others, patients measured their vital signs (blood pressure, heart frequency, oxygen saturation, weight) via telemedical measures and sent them via tablet to a Care Coordination Center to ascertain the need for intervention. Collected data on non-acceptance and non-use of TMA were analyzed quantitatively and qualitatively.
RESULTS RESULTS
Nine general practices in two German cities included a total of 177 patients according to the inclusion criteria. During the study, 61 study participants (34.5 %) dropped out, 80 patients (31.1 %) declined participation in the study. Drop-outs and non-participants were significantly older than active participants (p=.004 and p=.001, respectively). Predominant reasons for drop-out were the lack of the perceived added value and the content-related variety of the program on the patient's tablet, the missing interest/need for telemedical monitoring as well as the time spent participating in the study. Patients living alone, single and widowed patients reported significantly more difficulties in handling the hardware (tablet) (p=.040) and the program (Motiva) (p=.013) than married and cohabiting patients. These reasons were also reported mainly by female patients, patients aged 75 years and over, and those with a low level of education.
CONCLUSION CONCLUSIONS
In order to increase the acceptance and the added value of TMA for patients, the individual needs of the future target group should be analyzed at the beginning of the development. To ensure maximum user centricity, individual development steps should be continuously evaluated by the target group. TMA should be adapted to the functional abilities of elderly, multimorbid patients through, e. g., an appropriate design of the content, which is tailored to patients' individual needs. TMA should be used to an appropriate degree to avoid overburdening and should fit unobtrusively into patients' usual daily routine. For patient-specific acceptance of TMA, easy handling of the telemedical measuring and input devices is as important as the variety of offers on the platform and personal contact for technical queries. Special attention should be paid to patients who live alone, women, elderly patients over 75 years of age, and poorly educated patients in order to ensure full and easy access to technology-based telemonitoring for their own healthcare.

Identifiants

pubmed: 30910624
pii: S1865-9217(19)30027-3
doi: 10.1016/j.zefq.2019.02.009
pii:
doi:

Types de publication

Journal Article

Langues

ger

Sous-ensembles de citation

IM

Pagination

76-88

Informations de copyright

Copyright © 2019. Published by Elsevier GmbH.

Auteurs

Caroline Lang (C)

Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Dresden, Deutschland; Medizinische Fakultät und Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Medizinische Klinik III, Bereich Allgemeinmedizin, Dresden, Deutschland. Electronic address: caroline.lang@ukdd.de.

Madlen Scheibe (M)

Medizinische Fakultät und Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Zentrum für Evidenzbasierte Gesundheitsversorgung, Dresden, Deutschland.

Karen Voigt (K)

Medizinische Fakultät und Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Medizinische Klinik III, Bereich Allgemeinmedizin, Dresden, Deutschland.

Grit Hübsch (G)

Medizinische Fakultät und Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Medizinische Klinik III, Bereich Allgemeinmedizin, Dresden, Deutschland.

Luise Mocke (L)

Medizinische Fakultät und Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Zentrum für Evidenzbasierte Gesundheitsversorgung, Dresden, Deutschland.

Jochen Schmitt (J)

Medizinische Fakultät und Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Zentrum für Evidenzbasierte Gesundheitsversorgung, Dresden, Deutschland.

Antje Bergmann (A)

Medizinische Fakultät und Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Medizinische Klinik III, Bereich Allgemeinmedizin, Dresden, Deutschland.

Vjera Holthoff-Detto (V)

Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Dresden, Deutschland; St. Hedwig Kliniken Berlin, Alexianer Krankenhaus Hedwigshöhe, Klinik für Psychiatrie, Psychotherapie und Psychosomatik, Berlin, Deutschland.

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Classifications MeSH