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      Understanding social dynamics and patient experience in out of hospital care: validation of a co-responsibility questionnaire (CoReCare)

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          Abstract

          Patient experiences are commonly assessed through patient reported experience measures (PREMs). Ambulatory care models extend traditional care into the patients’ home, meaning that a triangle of health care professionals, patients, and their families need to be considered when assessing the remote care experience. These intertwined responsibilities are described by co-responsibility. Currently, PREMs don’t reflect how elements to remote care impact this remote care experience. Therefore, this study aimed to develop a questionnaire assessing perceived patient-partner co-responsibility as a PREM in remote care. A 30-item questionnaire was assessed among 1000 individuals aged between 18 and 65 years that tried to lose weight with a partner, friend or family member supporting them. Pairwise item correlations, Exploratory Factor Analysis, and Cronbach’s alpha were used for validation. 29-items were identified to reflect co-responsibility across 6 factors: empowerment and support, relational aspects, lack of sympathy, co-participation, accepting help and awareness. Cronbach’s alpha ranged between 0.66 and 0.93, showing good internal consistency. We present a validated CoReCare Questionnaire to understand the impact of social dynamics on achieving desired health outcomes in a remote care setting. The CoReCare Questionnaire extends current PREMs when aiming to assess and improve the patient experience of a care episode outside of the hospital.

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          Coefficient alpha and the internal structure of tests

          Psychometrika, 16(3), 297-334
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            SciPy 1.0: fundamental algorithms for scientific computing in Python

            SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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              Matplotlib: A 2D Graphics Environment

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                Author and article information

                Contributors
                melanie.meyfroyt@philips.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                28 February 2024
                28 February 2024
                2024
                : 14
                : 4894
                Affiliations
                [1 ]Philips Experience Design, Eindhoven, The Netherlands
                [2 ]Department of Surgery, Catharina Hospital, ( https://ror.org/01qavk531) Eindhoven, The Netherlands
                [3 ]Program Management Digitization, Catharina Hospital, ( https://ror.org/01qavk531) Eindhoven, The Netherlands
                Article
                54147
                10.1038/s41598-024-54147-0
                10902371
                38418491
                e5a41fd4-c272-4562-b703-9ec73f0e6530
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 July 2023
                : 8 February 2024
                Categories
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                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                psychology,health care
                Uncategorized
                psychology, health care

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