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      Satisfying Product Features of a Fall Prevention Smartphone App and Potential Users’ Willingness to Pay: Web-Based Survey Among Older Adults

      research-article
      , MSc 1 , , , Dr Ing, Dr rer medic 1 , , Dr Ing 1 , , SD, MD 2 , , Dr med 3 , , Priv Doz, Dr med 3 , , Dr med, MHBA 4 , , Dr med 4 , , Priv Doz, Dr med 4 , , MME, MHBA, Priv Doz, Dr med 4
      (Reviewer), (Reviewer), (Reviewer)
      JMIR mHealth and uHealth
      JMIR Publications
      prevention, cell phone, accidents

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          Abstract

          Background

          Prohibiting falls and fall-related injuries is a major challenge for health care systems worldwide, as a substantial proportion of falls occur in older adults who are previously known to be either frail or at high risk for falls. Hence, preventive measures are needed to educate and minimize the risk for falls rather than just minimize older adults’ fall risk. Health apps have the potential to address this problem, as they enable users to self-assess their individual fall risk.

          Objective

          The objective of this study was to identify product features of a fall prevention smartphone app, which increase or decrease users’ satisfaction. In addition, willingness to pay (WTP) was assessed to explore how much revenue such an app could generate.

          Methods

          A total of 96 participants completed an open self-selected Web-based survey. Participants answered various questions regarding health status, subjective and objective fall risk, and technical readiness. Seventeen predefined product features of a fall prevention smartphone app were evaluated twice: first, according to a functional (product feature is implemented in the app), and subsequently by a dysfunctional (product feature is not implemented in the app) question. On the basis of the combination of answers from these 2 questions, the product feature was assigned to a certain category (must-be, attractive, one-dimensional, indifferent, or questionable product feature). This method is widely used in user-oriented product development and captures users’ expectations of a product and how their satisfaction is influenced by the availability of individual product features.

          Results

          Five product features were identified to increase users’ acceptance, including (1) a checklist of typical tripping hazards, (2) an emergency guideline in case of a fall, (3) description of exercises and integrated workout plans that decrease the risk of falling, (4) inclusion of a continuous workout program, and (5) cost coverage by health insurer. Participants’ WTP was assessed after all 17 product features were rated and revealed a median monthly payment WTP rate of €5.00 (interquartile range 10.00).

          Conclusions

          The results show various motivating product features that should be incorporated into a fall prevention smartphone app. Results reveal aspects that fall prevention and intervention designers should keep in mind to encourage individuals to start joining their program and facilitate long-term user engagement, resulting in a greater interest in fall risk prevention.

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          Most cited references49

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          Interventions for preventing falls in older people living in the community

          Cochrane Database of Systematic Reviews
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            Smartphone Applications for Patients' Health and Fitness.

            Healthcare providers are often looking for ways to objectively monitor and improve their patients' health and fitness, especially in between patient visits. Some insurance companies are using applications data as incentives to improve health and lower premiums. As more and more people start to use smartphones, they may provide a tool to help improve a patient's health and fitness. Specifically, fitness applications or "apps" on smartphones are programs that use data collected from a smartphone's inbuilt tools, such as the Global Positioning System, accelerometer, microphone, speaker, and camera, to measure health and fitness parameters. The apps then analyze these data and summarize them, as well as devise individualized plans based on users' goals, provide frequent feedback, personalized coaching, and additional motivation by allowing milestones to be shared on social media. This article introduces evidence that apps can better help patients reach their health and fitness goals. It then discusses what features to look for in an app, followed by an overview of popular health and fitness apps. Last, patient scenarios with app recommendations, limitations of apps, and future research are discussed.
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              Health and the mobile phone.

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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
                March 2018
                27 March 2018
                : 6
                : 3
                : e75
                Affiliations
                [1] 1 Institute of Industrial Engineering and Ergonomics Department of Mechanical Engineering RWTH Aachen University Aachen Germany
                [2] 2 Department of Emergency Medicine Massachusetts General Hospital Boston, MA United States
                [3] 3 Hand and Reconstructive Surgery Department of Trauma University Hospital of Giessen and Marburg Marburg Germany
                [4] 4 Department of Orthopaedic Trauma University of Aachen Medical Center RWTH Aachen University Aachen Germany
                Author notes
                Corresponding Author: Peter Rasche p.rasche@ 123456iaw.rwth-aachen.de
                Author information
                http://orcid.org/0000-0001-7974-8668
                http://orcid.org/0000-0002-3703-0401
                http://orcid.org/0000-0001-6736-7366
                http://orcid.org/0000-0002-5602-3717
                http://orcid.org/0000-0002-4956-0805
                http://orcid.org/0000-0003-4666-3187
                http://orcid.org/0000-0002-7162-6153
                http://orcid.org/0000-0001-8778-8002
                http://orcid.org/0000-0002-5033-9964
                http://orcid.org/0000-0002-9166-0965
                Article
                v6i3e75
                10.2196/mhealth.9467
                5893889
                29588268
                67a96d61-c6f1-441f-b406-ea5225519765
                ©Peter Rasche, Alexander Mertens, Christopher Brandl, Shan Liu, Benjamin Buecking, Christopher Bliemel, Klemens Horst, Christian David Weber, Philipp Lichte, Matthias Knobe. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 27.03.2018.

                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
                : 21 November 2017
                : 4 January 2018
                : 16 February 2018
                : 23 February 2018
                Categories
                Original Paper
                Original Paper

                prevention,cell phone,accidents
                prevention, cell phone, accidents

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