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Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study

BACKGROUND: Health care systems worldwide are struggling to keep rising costs at bay with only modest outcome improvement among many diseases. Digitization with technologies like Artificial Intelligence or Machine Learning algorithms might address this. Although digital technologies have been succes...

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Detalles Bibliográficos
Autores principales: Hansen, Arne, Herrmann, Maximilian, Ehlers, Jan P, Mondritzki, Thomas, Hensel, Kai Oliver, Truebel, Hubert, Boehme, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913772/
https://www.ncbi.nlm.nih.gov/pubmed/31661082
http://dx.doi.org/10.2196/14689
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author Hansen, Arne
Herrmann, Maximilian
Ehlers, Jan P
Mondritzki, Thomas
Hensel, Kai Oliver
Truebel, Hubert
Boehme, Philip
author_facet Hansen, Arne
Herrmann, Maximilian
Ehlers, Jan P
Mondritzki, Thomas
Hensel, Kai Oliver
Truebel, Hubert
Boehme, Philip
author_sort Hansen, Arne
collection PubMed
description BACKGROUND: Health care systems worldwide are struggling to keep rising costs at bay with only modest outcome improvement among many diseases. Digitization with technologies like Artificial Intelligence or Machine Learning algorithms might address this. Although digital technologies have been successfully applied in clinical studies the effect on the overall health care system so far was limited. The regulatory ecosystem or data privacy might be responsible, but other reasons may also predominate. OBJECTIVE: We analyzed how the digitization of the German health care market is currently perceived among different stakeholders and investigated reasons for its slow adaption. METHODS: This was a mixed methods study split into a qualitative Part A using the conceptual approach of the Grounded Theory and a quantitative Part B using the Delphi method. For Part A we interviewed experts in the health care system and converted the results into 17 hypotheses. The Delphi method consisted of an online survey which was sent to the participants via email and was available for three months. For the assessment of the 17 hypotheses, the participants were given a six-point Likert scale. The participants were grouped into patients, physicians, and providers of services within the German health care market. RESULTS: There was a strong alignment of opinions on the hypotheses between experts (N=21) and survey participants (N=733), with 70.5% overall agreement on 12/17 hypotheses. Physicians demonstrated the lowest level of agreement with the expert panel at 88% (15/17) disagreement, with the hypotheses “H8: Digitization in the health care system will free up jobs,” and “H6: Digitization in the health care system will empower the patients,” perceived to be in profound disagreement (P=.036 and P<.001, respectively). CONCLUSIONS: Despite the firm agreement among participants and experts regarding the impact of digitization on the health care system, physicians demonstrated a more negative attitude. We assume that this might be a factor contributing to the slow adoption of digitization in practice. Physicians might be struggling with changing power structures, so future measures to transform the market should involve them to a larger degree.
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spelling pubmed-69137722020-01-02 Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study Hansen, Arne Herrmann, Maximilian Ehlers, Jan P Mondritzki, Thomas Hensel, Kai Oliver Truebel, Hubert Boehme, Philip JMIR Public Health Surveill Original Paper BACKGROUND: Health care systems worldwide are struggling to keep rising costs at bay with only modest outcome improvement among many diseases. Digitization with technologies like Artificial Intelligence or Machine Learning algorithms might address this. Although digital technologies have been successfully applied in clinical studies the effect on the overall health care system so far was limited. The regulatory ecosystem or data privacy might be responsible, but other reasons may also predominate. OBJECTIVE: We analyzed how the digitization of the German health care market is currently perceived among different stakeholders and investigated reasons for its slow adaption. METHODS: This was a mixed methods study split into a qualitative Part A using the conceptual approach of the Grounded Theory and a quantitative Part B using the Delphi method. For Part A we interviewed experts in the health care system and converted the results into 17 hypotheses. The Delphi method consisted of an online survey which was sent to the participants via email and was available for three months. For the assessment of the 17 hypotheses, the participants were given a six-point Likert scale. The participants were grouped into patients, physicians, and providers of services within the German health care market. RESULTS: There was a strong alignment of opinions on the hypotheses between experts (N=21) and survey participants (N=733), with 70.5% overall agreement on 12/17 hypotheses. Physicians demonstrated the lowest level of agreement with the expert panel at 88% (15/17) disagreement, with the hypotheses “H8: Digitization in the health care system will free up jobs,” and “H6: Digitization in the health care system will empower the patients,” perceived to be in profound disagreement (P=.036 and P<.001, respectively). CONCLUSIONS: Despite the firm agreement among participants and experts regarding the impact of digitization on the health care system, physicians demonstrated a more negative attitude. We assume that this might be a factor contributing to the slow adoption of digitization in practice. Physicians might be struggling with changing power structures, so future measures to transform the market should involve them to a larger degree. JMIR Publications 2019-10-28 /pmc/articles/PMC6913772/ /pubmed/31661082 http://dx.doi.org/10.2196/14689 Text en ©Arne Hansen, Maximilian Herrmann, Jan P Ehlers, Thomas Mondritzki, Kai Oliver Hensel, Hubert Truebel, Philip Boehme. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 28.10.2019. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Hansen, Arne
Herrmann, Maximilian
Ehlers, Jan P
Mondritzki, Thomas
Hensel, Kai Oliver
Truebel, Hubert
Boehme, Philip
Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study
title Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study
title_full Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study
title_fullStr Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study
title_full_unstemmed Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study
title_short Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study
title_sort perception of the progressing digitization and transformation of the german health care system among experts and the public: mixed methods study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913772/
https://www.ncbi.nlm.nih.gov/pubmed/31661082
http://dx.doi.org/10.2196/14689
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