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Current Debate

Are mobile health applications useful for supporting shared decision making in diagnostic and treatment decisions?

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Article: 1332259 | Received 02 Nov 2016, Accepted 02 May 2017, Published online: 25 Aug 2017

References

  • Lomas J, Lavis J, McMaster U; Centre for Health E, Policy A. Guidelines in the mist. Hamilton: Centre for Health Economics and Policy Analysis, McMaster University; 1996.
  • BMJ Evidence Centre. How much do we know? London: BMJ Group; 2011.
  • Van Duijn HJ, Kuyvenhoven MM, Tiebosch HM, et al. Diagnostic labelling as determinant of antibiotic prescribing for acute respiratory tract episodes in general practice. BMC Fam Pract. 2007;8:55.
  • Minelli CE. Benefits and harms associated with hormone replacement therapy: clinical decision analysis. BMJ. 2004;328:7436.
  • Young C. Clinical evidence: The international source of the best available evidence for effective health care. Concise Issue 16. London: BMJ Books; 2006.
  • Hoffmann TC, Montori VM, Del Mar C. The connection between evidence-based medicine and shared decision making. JAMA. 2014;312:1295–41.
  • Barry MJ, Edgman-Levitan S. Shared decision making--pinnacle of patient-centered care. N Engl J Med. 2012;366:780–781.
  • Legare F, Stacey D, Turcotte S, et al. Interventions for improving the adoption of shared decision making by healthcare professionals. Cochrane Database Syst Rev. 2014;CD006732.
  • Stacey D, Legare F, Col NF, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2014;Cd001431.
  • Elwyn G, O’Connor A, Stacey D, et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333:417.
  • Elwyn G, Lloyd A, Joseph-Williams N, et al. Option grids: shared decision making made easier. Patient Educ Couns. 2013;90:207–212.
  • Montori VM, Breslin M, Maleska M, et al. Creating a conversation: insights from the development of a decision aid. PLoS Med. 2007;4:e233.
  • Elwyn G, Frosch D, Volandes AE, et al. Investing in deliberation: a definition and classification of decision support interventions for people facing difficult health decisions. Med Decis Making. 2010;30:701–711.
  • Hibbard J, Greene J. What the evidence shows about patient activation: better health outcomes and care experiences; fewer data on costs. Health Aff. 2013;207:14.
  • Hibbard J, Greene J, Overton V. Patients with lower activation associated with higher costs; delivery systems should know their patients’ scores. Health Aff. 2013;216–222.
  • Légaré F, Ratté S, Gravel K, et al. Barriers and facilitators to implementing shared decision-making in clinical practice: update of a systematic review of health professionals’ perceptions. Patient Educ Couns. 2008;73:526–535.
  • Joseph-Williams N, Elwyn G, Edwards A. Knowledge is not power for patients: A systematic review and thematic synthesis of patient-reported barriers and facilitators to shared decision making. Patient Educ Couns. 2014;94:291–309.
  • Steinhubl SR, Topol EJ. Moving from digitalization to digitization in cardiovascular care: why is it important, and what could it mean for patients and providers? J Am Coll Cardiol. 2015;66:1489–1496.
  • HaW S. Nilmini assimilating healthcare information systems in a Malaysian Hospital. AIS. 2014;34:1291–1318.
  • Eysenbach G. What is e-health? J Med Internet Res. 2001;3:e20.
  • Miller DP, Weaver K, Case D, et al. Usability of a novel mhealth ipad application by vulnerable populations. J Gen Intern Med. 2016;31:S450–S451.
  • Omboni S, Caserini M, Coronetti C. Telemedicine and m-Health in hypertension management: technologies, applications and clinical evidence. High Blood Press Cardiovasc Prev. 2016;23:187–196.
  • World Health Organization. Global observatory for eHealth. mHealth: new horizons for health through mobile technologies 2011 [ cited 2016 Oct 14]. Available from: http://apps.who.int/iris/bitstream/10665/44607/1/9789241564250_eng.pdf
  • GSMA. The mobile econoMy 2016. UK: GSMA; 2016.
  • The Statistics Portal. Number of smartphone users in the U.S. 2010-2021. 2016. Available from: https://www.statista.com/statistics/201182/forecast-of-smartphone-users-in-the-us/
  • Borgelt LM, Liston R, Giacomini K, et al. Evaluation of shared decision making between patients and providers to improve menopause health outcomes. Menopause. 2015;22:1399.
  • Hsu WC, Lau KHK, Huang R, et al. Utilization of a cloud-based diabetes management program for insulin initiation and titration enables collaborative decision making between healthcare providers and patients. Diabetes Technol Ther. 2016;18:59–67.
  • Blake H. Innovation in practice: mobile phone technology in patient care. Br J Community Nurs. 2008;13:162–165.
  • Canbazoglu E, Salman YB, Yildirim ME, et al. Developing a mobile application to better inform patients and enable effective consultation in implant dentistry. Comput Struct Biotechnol J. 2016;14:252–261.
  • Iribarren SJ, Cato K, Falzon L, et al. What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions. PLoS One. 2017;12:e0170581.
  • Mead EL, Doorenbos AZ, Javid SH, et al. Shared decision-making for cancer care among racial and ethnic minorities: a systematic review. Am J Public Health. 2013;103:e15–e29.
  • Alden DL, Friend J, Schapira M, et al. Cultural targeting and tailoring of shared decision making technology: a theoretical framework for improving the effectiveness of patient decision aids in culturally diverse groups. Soc Sci Med. 2014;105:1–8.
  • Sanou B. ICT facts and figures 2016. 2017. Available from: http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2016.pdf.
  • Hwangbo H, Yoon SH, Jin BS, et al. A study of pointing performance of elderly users on smartphones. Int J Human–Computer Interaction. 2013;29:604–618.
  • Cook K, Modena B, Simon R. Scripps asthma coach: improved asthma control using a dynamic interactive smartphone application. Ann Allergy Asthma Immunol. 2015;115:A23.
  • Mills A, Brugha R, Hanson K, et al. What can be done about the private health sector in low-income countries? Bull World Health Organ. 2002;80:325–330.
  • Foley N, O’Connell E, Livingstone V, et al. PATI: patient accessed tailored information: a pilot study to evaluate the effect on preoperative breast cancer patients of information delivered via a mobile application. Eur J Cancer. 2016;57:S22.
  • Lewis TL, Wyatt JC. mHealth and mobile medical apps: a framework to assess risk and promote safer use. J Med Internet Res. 2014;16:e210.
  • Arora S, Yttri J, Nilse NW. Privacy and security in mobile health (mHealth) research. Alcohol Res Curr Rev. 2014;36:143–151.