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      Implementing Systematically Collected User Feedback to Increase User Retention in a Mobile App for Self-Management of Low Back Pain: Retrospective Cohort Study

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          Abstract

          Background

          Promising first results for Kaia, a mobile app digitalizing multidisciplinary rehabilitation for low back pain, were recently published. It remains unclear whether the implementation of user feedback in an updated version of this app leads to desired effects in terms of increased app usage and clinical outcomes.

          Objective

          The aim is to elucidate the effect on user retention and clinical outcomes of an updated version of the Kaia app where user feedback was included during development.

          Methods

          User feedback of the initial app versions (0.x) was collected in a quality management system and systematically analyzed to define requirements of a new version. For this study, the anonymized data of Kaia users was analyzed retrospectively and users were grouped depending on the available version at the time of the sign-up (0.x vs 1.x). The effect on the duration of activity of users in the app, the number of completed exercises of each type, and user-reported pain levels were compared.

          Results

          Overall, data of 1251 users fulfilled the inclusion criteria, of which 196 users signed up using version 0.x and 1055 users signed up with version 1.x. There were significant differences in the demographic parameters for both groups. A log-rank test showed no significant differences for the duration of activity in the app between groups ( P=.31). Users signing up during availability of the 1.x version completed significantly more exercises of each type in the app (physical exercises: 0.x mean 1.99, SD 1.61 units/week vs 1.x mean 3.15, SD1.72 units/week; P<.001; mindfulness exercises: 0.x mean 1.36, SD 1.43 units/week vs 1.x mean 2.42, SD 1.82 units/week; P<.001; educational content: 0.x mean 1.51, SD 1.42 units/week vs 1.x mean 2.71, SD 1.89 units/week; P<.001). This translated into a stronger decrease in user-reported pain levels in versions 1.x (F1,1233=7.084, P=.008).

          Conclusions

          Despite the limitations of retrospective cohort studies, this study indicates that the implementation of systematically collected user feedback during development of updated versions can contribute to improvements in terms of frequency of use and potentially even clinical endpoints such as pain level. The clinical efficiency of the Kaia app needs to be validated in prospective controlled trials to exclude bias.

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          Most cited references15

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          Non-specific low back pain.

          Non-specific low back pain affects people of all ages and is a leading contributor to disease burden worldwide. Management guidelines endorse triage to identify the rare cases of low back pain that are caused by medically serious pathology, and so require diagnostic work-up or specialist referral, or both. Because non-specific low back pain does not have a known pathoanatomical cause, treatment focuses on reducing pain and its consequences. Management consists of education and reassurance, analgesic medicines, non-pharmacological therapies, and timely review. The clinical course of low back pain is often favourable, thus many patients require little if any formal medical care. Two treatment strategies are currently used, a stepped approach beginning with more simple care that is progressed if the patient does not respond, and the use of simple risk prediction methods to individualise the amount and type of care provided. The overuse of imaging, opioids, and surgery remains a widespread problem.
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            • Record: found
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            • Article: not found

            Low back pain and sciatica: summary of NICE guidance.

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              How can weight-loss app designers' best engage and support users? A qualitative investigation.

              This study explored young adults' experiences of using e-health internet-based computer or mobile phone applications (apps) and what they valued about those apps.
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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                June 2018
                06 June 2018
                : 6
                : 6
                : e10422
                Affiliations
                [1] 1 Kaia Health Software Munich Germany
                [2] 2 Department of Orthopaedic Surgery, Physical Medicine and Rehabilitation University Hospital of Munich (LMU), Campus Grosshadern Munich Germany
                [3] 3 Unabhängige statistische Beratung Bernhard Ulm Munich Germany
                Author notes
                Corresponding Author: Stephan Huber stephan@ 123456kaia-health.com
                Author information
                http://orcid.org/0000-0003-0906-2278
                http://orcid.org/0000-0002-1517-2150
                http://orcid.org/0000-0002-9396-2510
                http://orcid.org/0000-0003-4379-5790
                http://orcid.org/0000-0002-6332-688X
                Article
                v6i6e10422
                10.2196/10422
                6010841
                29875088
                54d06c87-6e5b-49a6-bb45-4d016c5cc98f
                ©Innocent Clement, Andreas Lorenz, Bernhard Ulm, Anne Plidschun, Stephan Huber. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 06.06.2018.

                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 mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 15 March 2018
                : 9 April 2018
                : 19 April 2018
                : 8 May 2018
                Categories
                Original Paper
                Original Paper

                low back pain,app,mhealth,retrospective cohort study,self-management,user feedback,quality management,usability

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