Help at hand: Women’s experiences of using a mobile health application upon diagnosis of asymptomatic osteoporosis

Objectives: This study aims to test a mobile health application (mHealth app) developed to meet the needs of women newly diagnosed with asymptomatic osteoporosis. We investigate how the women experience using an mHealth app upon diagnosis of osteoporosis and whether the app can help them to be prepared for treatment decision-making and support them in osteoporosis self-management. We also tested the usability of the app, to find out whether any adjustments were necessary prior to implementation. Methods: A test was conducted at a Danish university hospital with 18 women aged 50–65, newly diagnosed with asymptomatic osteoporosis. On presenting for a bone density scan at the hospital, they were provided with the app, which was named ‘My Osteoporosis Journey’. Data were collected through semi-structured interviews. Giorgi’s descriptive phenomenological method guided the data analysis in four steps. Findings: In total, 17 women succeeded in downloading the app, thereby accessing information on asymptomatic osteoporosis, their bone density scan results and treatment recommendations prior to visiting their general practitioner. Three overall themes were identified. Women experienced that the app (1) gave a feeling of confidence and reassurance, (2) prepared the women on treatment decision-making in the general practitioner visit and (3) provided help at hand in self-management of osteoporosis. Conclusion: Our findings show that the mHealth app helps women to feel confident and reassured upon diagnosis of asymptomatic osteoporosis. The women felt that the app promoted an equal dialogue in the osteoporosis consultation since they felt prepared for visiting their general practitioner and were able to articulate their individual needs regarding treatment. After diagnosis, the women felt that the app provided support in self-management, right at their fingertips.

[1]  J. Clemensen,et al.  Experiences of being diagnosed with osteoporosis: a meta-synthesis , 2018, Archives of Osteoporosis.

[2]  Uffe Kock Wiil,et al.  Left in limbo – Experiences and needs among postmenopausal women newly diagnosed with osteoporosis without preceding osteoporotic fractures: A qualitative study , 2018, Post reproductive health.

[3]  Uffe Kock Wiil,et al.  Development of an mHealth Application for Women Newly Diagnosed with Osteoporosis without Preceding Fractures: A Participatory Design Approach , 2018, International journal of environmental research and public health.

[4]  Bengisu Tulu,et al.  mHealth technologies for osteoarthritis self-management and treatment: A systematic review , 2017, Health Informatics J..

[5]  Jane Clemensen,et al.  Participatory design methods for the development of a clinical telehealth service for neonatal homecare , 2017, SAGE open medicine.

[6]  Thomas Schmidt,et al.  Development of a Web-Based Health Care Intervention for Patients With Heart Disease: Lessons Learned From a Participatory Design Study , 2017, JMIR research protocols.

[7]  Birthe D. Pedersen,et al.  Women’s lived experiences of learning to live with osteoporosis: a longitudinal qualitative study , 2017, BMC Women's Health.

[8]  M. Georgsson,et al.  Patients' Perceptions and Experiences of a mHealth Diabetes Self-management System , 2017, Computers, informatics, nursing : CIN.

[9]  Jane Clemensen,et al.  Participatory design methods in telemedicine research , 2016, Journal of telemedicine and telecare.

[10]  K. Malterud,et al.  Sample Size in Qualitative Interview Studies , 2016, Qualitative health research.

[11]  Lauren Bradley,et al.  What do we know about mobile applications for diabetes self-management? A review of reviews , 2016, Journal of Behavioral Medicine.

[12]  C. Roux,et al.  Barriers to Effective Postmenopausal Osteoporosis Treatment: A Qualitative Study of Patients’ and Practitioners’ Views , 2016, PloS one.

[13]  L. Whitehead,et al.  The Effectiveness of Self-Management Mobile Phone and Tablet Apps in Long-term Condition Management: A Systematic Review , 2016, Journal of medical Internet research.

[14]  Emily Gerth-Guyette,et al.  Impact of mHealth Chronic Disease Management on Treatment Adherence and Patient Outcomes: A Systematic Review , 2015, Journal of medical Internet research.

[15]  Jane Clemensen,et al.  Nurses' Experience of Using an Application to Support New Parents after Early Discharge: An Intervention Study , 2015, International journal of telemedicine and applications.

[16]  Nigel R Armfield,et al.  Telemedicine ‐ is the cart being put before the horse? , 2014, The Medical journal of Australia.

[17]  Olivier Ethgen,et al.  Can New Information and Communication Technologies Help in the Management of Osteoporosis? , 2014, Women's health.

[18]  Emma Derbyshire,et al.  Smartphone Medical Applications for Women's Health: What Is the Evidence-Base and Feedback? , 2013, International journal of telemedicine and applications.

[19]  Opinder Sahota,et al.  Handling knowledge on osteoporosis--a qualitative study. , 2013, Scandinavian journal of caring sciences.

[20]  Jesper Simonsen,et al.  Routledge International Handbook of Participatory Design , 2012 .

[21]  A. J. Johnson,et al.  Access to radiologic reports via a patient portal: clinical simulations to investigate patient preferences. , 2012, Journal of the American College of Radiology : JACR.

[22]  A. Giorgi,et al.  A Qualitative Effort to Describe Experience Scientifically Review ofThe descriptive phenomenological method in psychology: A modified Husserlian approach , 2009, History & Philosophy of Psychology.

[23]  N. D. Nguyen,et al.  Development of prognostic nomograms for individualizing 5-year and 10-year fracture risks , 2008, Osteoporosis International.

[24]  M. Kyng,et al.  Participatory Design in Health Sciences: Using Cooperative Experimental Methods in Developing Health Services and Computer Technology , 2007, Qualitative health research.

[25]  K. Malterud,et al.  Making the invisible body visible. Bone scans, osteoporosis and women's bodily experiences. , 2006, Social science & medicine.

[26]  Christian Nøhr,et al.  Participatory Design, User Involvement and Health IT Evaluation. , 2016, Studies in health technology and informatics.

[27]  J. Reginster,et al.  Opportunity and challenges of eHealth and mHealth for patients and caregivers , 2014 .

[28]  B. Abrahamsen,et al.  Women's experiences of their osteoporosis diagnosis at the time of diagnosis and 6 months later: A phenomenological hermeneutic study. , 2014, International journal of qualitative studies on health and well-being.

[29]  Maria Hale,et al.  'The patient will see you now'. , 2010, The American journal of nursing.

[30]  M. Klässbo,et al.  Healthy risk awarness motivates fracture prevention behaviour : a grounded theory study of women with osteoporosis , 2007 .