Challenges of Implementing an mHealth Application for Personalized Physical Activity Counselling in Primary Health Care: A Qualitative Study

References

• Wattanapisit A, Wattanapisit S, Wongsiri S. Overview of physical activity counseling in primary care. Korean J Fam Med. 2020. doi:10.4082/kjfm.19.0113
   PubMed Web of Science ®Google Scholar
• Elley CR, Kerse N, Arroll B, et al. Effectiveness of counselling patients on physical activity in general practice: cluster randomised controlled trial. BMJ. 2003;326:793. doi:10.1136/bmj.326.7393.793
   PubMed Web of Science ®Google Scholar
• Orrow G, Kinmonth A-L, Sanderson S, et al. Effectiveness of physical activity promotion based in primary care: systematic review and meta-analysis of randomised controlled trials. BMJ. 2012;344(1):e1389. doi:10.1136/bmj.e1389
   PubMed Web of Science ®Google Scholar
• van der Wardt V, Di Lorito C, Viniol A. Promoting physical activity in primary care: a systematic review and meta-analysis. Br J Gen Pract. 2021;71(706):e399–e405. doi:10.3399/BJGP.2020.0817
   PubMed Web of Science ®Google Scholar
• Füzéki E, Weber T, Groneberg DA, et al. Physical activity counseling in primary care in Germany—an integrative review. Int J Environ Res Public Health. 2020;17:5625. doi:10.3390/ijerph17155625
   PubMed Web of Science ®Google Scholar
• Gabrys L, Jordan S, Schlaud M. Prevalence and temporal trends of physical activity counselling in primary health care in Germany from 1997–1999 to 2008–2011. Int J Behav Nutr Phys Act. 2015;12(1):136. doi:10.1186/s12966-015-0299-9
   PubMed Web of Science ®Google Scholar
• Hébert ET, Caughy MO, Shuval K. Primary care providers‘ perceptions of physical activity counselling in a clinical setting: a systematic review. Br J Sports Med. 2012;46(9):625–631. doi:10.1136/bjsports-2011-090734
   PubMed Web of Science ®Google Scholar
• Wattanapisit A, Thanamee S, Wongsiri S. Physical activity counselling among GPs: a qualitative study from Thailand. BMC Fam Pract. 2019;20(1):72. doi:10.1186/s12875-019-0968-x
   PubMed Web of Science ®Google Scholar
• World Health Organization. mHealth: New Horizons for Health Through Mobile Technologies: Second Global Survey on eHealth. Geneva, Switzerland: World Health Organization; 2011.
   Google Scholar
• Early J, Gonzalez C, Gordon-Dseagu V, et al. Use of mobile health (mHealth) technologies and interventions among community health workers globally: a scoping review. Health Promot Pract. 2019;20(6):805–817. doi:10.1177/1524839919855391
   PubMed Web of Science ®Google Scholar
• Wattanapisit A, Teo CH, Wattanapisit S, et al. Can mobile health apps replace GPs? A scoping review of comparisons between mobile apps and GP tasks. BMC Med Inform Decis Mak. 2020;20(1):5. doi:10.1186/s12911-019-1016-4
   PubMed Web of Science ®Google Scholar
• Wattanapisit A, Tuangratananon T, Wattanapisit S. Usability and utility of eHealth for physical activity counselling in primary health care: a scoping review. BMC Fam Pract. 2020;21(1):229. doi:10.1186/s12875-020-01304-9
   PubMed Web of Science ®Google Scholar
• Wattanapisit A, Wattanapisit S, Tuangratananon T, et al. Primary health care providers’ perspectives on developing an eHealth tool for physical activity counselling: a qualitative study. J Multidiscip Healthc. 2021;14:321–333. doi:10.2147/JMDH.S298390
   PubMed Web of Science ®Google Scholar
• Akdur G, Aydin MN, Akdur G. Adoption of mobile health apps in dietetic practice: case study of diyetkolik. JMIR Mhealth Uhealth. 2020;8(10):e16911. doi:10.2196/16911
   PubMed Web of Science ®Google Scholar
• Alam MZ, Hoque MR, Hu W, Barua Z. Factors influencing the adoption of mHealth services in a developing country: a patient-centric study. Int J Inf Manage. 2020;50:128–143. doi:10.1016/j.ijinfomgt.2019.04.016
   Web of Science ®Google Scholar
• Hoque R, Sorwar G. Understanding factors influencing the adoption of mHealth by the elderly: an extension of the UTAUT model. Int J Med Inform. 2017;101:75–84. doi:10.1016/j.ijmedinf.2017.02.002
   PubMed Web of Science ®Google Scholar
• Jacob C, Sanchez-Vazquez A, Ivory C. Understanding clinicians’ adoption of mobile health tools: a qualitative review of the most used frameworks. JMIR Mhealth Uhealth. 2020;8:e18072. doi:10.2196/18072
   PubMed Web of Science ®Google Scholar
• Matua GA, Van Der Wal DM. Differentiating between descriptive and interpretive phenomenological research approaches. Nurse Res. 2015;22(6):22–27. doi:10.7748/nr.22.6.22.e1344
   PubMed Web of Science ®Google Scholar
• O’Brien BC, Harris IB, Beckman TJ, et al. Standards for reporting qualitative research: a synthesis of recommendations. Acad Med. 2014;89(9):1245–1251. doi:10.1097/ACM.0000000000000388
   PubMed Web of Science ®Google Scholar
• Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349–357. doi:10.1093/intqhc/mzm042
   PubMed Web of Science ®Google Scholar
• Patton MQ. Enhancing the quality and credibility of qualitative analysis. Health Serv Res. 1999;34:1189–1208.
   PubMed Web of Science ®Google Scholar
• Saunders B, Sim J, Kingstone T, et al. Saturation in qualitative research: exploring its conceptualization and operationalization. Qual Quant. 2018;52(4):1893–1907. doi:10.1007/s11135-017-0574-8
   PubMed Web of Science ®Google Scholar
• Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101. doi:10.1191/1478088706qp063oa
   Google Scholar
• Gale NK, Heath G, Cameron E, et al. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013;13(1):117. doi:10.1186/1471-2288-13-117
   PubMed Web of Science ®Google Scholar
• American College of Sports Medicine. Exercise is medicine: healthcare providers’ action guide. Available from: https://www.exerciseismedicine.org/support_page.php/provider-action-guide/. Accessed April 12, 2021.
   Google Scholar
• Bull FC, Al-Ansari SS, Biddle S, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020;54(24):1451–1462. doi:10.1136/bjsports-2020-102955
   PubMed Web of Science ®Google Scholar
• Riebe D, Franklin BA, Thompson PD, et al. Updating ACSM’s recommendations for exercise preparticipation health screening. Med Sci Sports Exerc. 2015;47(11):2473–2479. doi:10.1249/MSS.0000000000000664
   PubMed Web of Science ®Google Scholar
• Matthew-Maich N, Harris L, Ploeg J, et al. Designing, implementing, and evaluating mobile health technologies for managing chronic conditions in older adults: a scoping review. JMIR Mhealth Uhealth. 2016;4(2):e29. doi:10.2196/mhealth.5127
   PubMed Web of Science ®Google Scholar
• Lim HM, Dunn AG, Muhammad Firdaus Ooi S, et al. mHealth adoption among primary care physicians in Malaysia and its associated factors: a cross-sectional study. Fam Pract. 2020. doi:10.1093/fampra/cmaa103
   PubMed Web of Science ®Google Scholar
• Bally ELS, Cesuroglu T. Toward integration of mHealth in primary care in the Netherlands: a qualitative analysis of stakeholder perspectives. Front Public Health. 2020;7:407. doi:10.3389/fpubh.2019.00407
   PubMed Web of Science ®Google Scholar
• Boers SN, Jongsma KR, Lucivero F, et al. SERIES: eHealth in primary care. Part 2: exploring the ethical implications of its application in primary care practice. Eur J Gen Pract. 2020;26(1):26–32. doi:10.1080/13814788.2019.1678958
   PubMed Web of Science ®Google Scholar
• Shaw T, McGregor D, Brunner M, et al. What is eHealth (6)? Development of a conceptual model for eHealth: qualitative study with key informants. J Med Internet Res. 2017;19(10):e324. doi:10.2196/jmir.8106
   PubMed Web of Science ®Google Scholar
• Apolinário-Hagen J, Menzel M, Hennemann S, et al. Acceptance of mobile health apps for disease management among people with multiple sclerosis: web-based survey study. JMIR Form Res. 2018;2(2):e11977. doi:10.2196/11977
   PubMedGoogle Scholar
• Dou K, Yu P, Deng N, et al. Patients’ acceptance of smartphone health technology for chronic disease management: a theoretical model and empirical test. JMIR Mhealth Uhealth. 2017;5:e177. doi:10.2196/mhealth.7886
   PubMed Web of Science ®Google Scholar
• Petersen F, Jacobs M, Pather S. Barriers for user acceptance of mobile health applications for diabetic patients: applying the UTAUT model. In Proceedings of Responsible Design, Implementation and Use of Information and Communication Technology. 2020:61–72.
   Google Scholar
• Salgado T, Tavares J, Oliveira T. Drivers of mobile health acceptance and use from the patient perspective: survey study and quantitative model development. JMIR Mhealth Uhealth. 2020;8:e17588. doi:10.2196/17588
   PubMed Web of Science ®Google Scholar
• Odendaal WA, Anstey Watkins J, Leon N, et al. Health workers’ perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. Cochrane Database Syst Rev. 2020;3:Cd011942.
   PubMed Web of Science ®Google Scholar
• Shaw RJ, Bonnet JP, Modarai F, et al. Mobile health technology for personalized primary care medicine. Am J Med. 2015;128(6):555–557. doi:10.1016/j.amjmed.2015.01.005
   PubMed Web of Science ®Google Scholar