Development and evaluation of a tailored e-self-management intervention (dr. Bart app) for knee and/or hip osteoarthritis: study protocol

Abstract Background This paper describes (the development of) an eHealth tool (dr. Bart app) to enhance self-management and to optimize non-surgical health care utilization in patients with knee and/or hip osteoarthritis (OA) and presents a study aiming 1) to study the effectiveness of the dr. Bart...

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Main Authors: Tim Pelle, Karen Bevers, Job van der Palen, Frank H. J. van den Hoogen, Cornelia H. M. van den Ende
Format: Article
Language:English
Published: BMC 2019-08-01
Series:BMC Musculoskeletal Disorders
Subjects:
OA
Online Access:http://link.springer.com/article/10.1186/s12891-019-2768-9
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spelling doaj-dd6581b4c95d40689832c8c59cc681282020-11-25T03:43:50ZengBMCBMC Musculoskeletal Disorders1471-24742019-08-0120111210.1186/s12891-019-2768-9Development and evaluation of a tailored e-self-management intervention (dr. Bart app) for knee and/or hip osteoarthritis: study protocolTim Pelle0Karen Bevers1Job van der Palen2Frank H. J. van den Hoogen3Cornelia H. M. van den Ende4Department of Rheumatology, Sint MaartenskliniekDepartment of Rheumatology, Sint MaartenskliniekDepartment of Research Methodology, Measurement, and Data-Analysis, Behavioural, Management and Social Sciences, University of TwenteDepartment of Rheumatology, Sint MaartenskliniekDepartment of Rheumatology, Sint MaartenskliniekAbstract Background This paper describes (the development of) an eHealth tool (dr. Bart app) to enhance self-management and to optimize non-surgical health care utilization in patients with knee and/or hip osteoarthritis (OA) and presents a study aiming 1) to study the effectiveness of the dr. Bart app on health care use 2) to explore differences in use, usability and the clinical outcomes of the dr. Bart app between the Netherlands and Germany. Methods The dr. Bart app is a fully automated eHealth application and is based on the Fogg model for behavioural change, augmented with reminders, rewards and self-monitoring to reinforce app engagement and health behaviour. The dr. Bart app propose goals to a healthier lifestyle based on machine learning techniques fed by data collected in a personal profile and choosing behaviour of the app user. Patients ≥50 years with self-reported knee and/or hip OA will be eligible to participate. Participants will be recruited in the community through advertisements in local newspapers and campaigns on social media. This protocol presents a study with three arms, aiming to include 161 patients in each arm. In the Netherlands, patients are randomly allocated to usual care or dr. Bart app and in Germany all patients receive the dr. Bart app. The primary outcome of the first research question is the number of self-reported consultations in secondary health care. The primary outcome of the second research question (comparison between the Netherlands and Germany) is self-management behaviour assessed by the patient activation measure (PAM-13) questionnaire. Secondary outcomes are costs, health-related quality of life, physical functioning and activity, pain, use and usability of the dr. Bart app. Data will be collected through three online questionnaires (at baseline and after 3 and 6 months after inclusion). Discussion This study will gain insight into the effectiveness of the dr. Bart app in the (conservative) treatment of patients with knee and/or hip OA and differences in the use and usability of the dr. Bart app between the Netherlands and Germany. Trial registration Dutch Trial Register (Trial Number NTR6693 / NL6505). Registration date: 4 September 2017.http://link.springer.com/article/10.1186/s12891-019-2768-9OsteoarthritiseHealthKnee and/or hipOABehavioural change techniquesChronic disease
collection DOAJ
language English
format Article
sources DOAJ
author Tim Pelle
Karen Bevers
Job van der Palen
Frank H. J. van den Hoogen
Cornelia H. M. van den Ende
spellingShingle Tim Pelle
Karen Bevers
Job van der Palen
Frank H. J. van den Hoogen
Cornelia H. M. van den Ende
Development and evaluation of a tailored e-self-management intervention (dr. Bart app) for knee and/or hip osteoarthritis: study protocol
BMC Musculoskeletal Disorders
Osteoarthritis
eHealth
Knee and/or hip
OA
Behavioural change techniques
Chronic disease
author_facet Tim Pelle
Karen Bevers
Job van der Palen
Frank H. J. van den Hoogen
Cornelia H. M. van den Ende
author_sort Tim Pelle
title Development and evaluation of a tailored e-self-management intervention (dr. Bart app) for knee and/or hip osteoarthritis: study protocol
title_short Development and evaluation of a tailored e-self-management intervention (dr. Bart app) for knee and/or hip osteoarthritis: study protocol
title_full Development and evaluation of a tailored e-self-management intervention (dr. Bart app) for knee and/or hip osteoarthritis: study protocol
title_fullStr Development and evaluation of a tailored e-self-management intervention (dr. Bart app) for knee and/or hip osteoarthritis: study protocol
title_full_unstemmed Development and evaluation of a tailored e-self-management intervention (dr. Bart app) for knee and/or hip osteoarthritis: study protocol
title_sort development and evaluation of a tailored e-self-management intervention (dr. bart app) for knee and/or hip osteoarthritis: study protocol
publisher BMC
series BMC Musculoskeletal Disorders
issn 1471-2474
publishDate 2019-08-01
description Abstract Background This paper describes (the development of) an eHealth tool (dr. Bart app) to enhance self-management and to optimize non-surgical health care utilization in patients with knee and/or hip osteoarthritis (OA) and presents a study aiming 1) to study the effectiveness of the dr. Bart app on health care use 2) to explore differences in use, usability and the clinical outcomes of the dr. Bart app between the Netherlands and Germany. Methods The dr. Bart app is a fully automated eHealth application and is based on the Fogg model for behavioural change, augmented with reminders, rewards and self-monitoring to reinforce app engagement and health behaviour. The dr. Bart app propose goals to a healthier lifestyle based on machine learning techniques fed by data collected in a personal profile and choosing behaviour of the app user. Patients ≥50 years with self-reported knee and/or hip OA will be eligible to participate. Participants will be recruited in the community through advertisements in local newspapers and campaigns on social media. This protocol presents a study with three arms, aiming to include 161 patients in each arm. In the Netherlands, patients are randomly allocated to usual care or dr. Bart app and in Germany all patients receive the dr. Bart app. The primary outcome of the first research question is the number of self-reported consultations in secondary health care. The primary outcome of the second research question (comparison between the Netherlands and Germany) is self-management behaviour assessed by the patient activation measure (PAM-13) questionnaire. Secondary outcomes are costs, health-related quality of life, physical functioning and activity, pain, use and usability of the dr. Bart app. Data will be collected through three online questionnaires (at baseline and after 3 and 6 months after inclusion). Discussion This study will gain insight into the effectiveness of the dr. Bart app in the (conservative) treatment of patients with knee and/or hip OA and differences in the use and usability of the dr. Bart app between the Netherlands and Germany. Trial registration Dutch Trial Register (Trial Number NTR6693 / NL6505). Registration date: 4 September 2017.
topic Osteoarthritis
eHealth
Knee and/or hip
OA
Behavioural change techniques
Chronic disease
url http://link.springer.com/article/10.1186/s12891-019-2768-9
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