Patient engagement: Difference between revisions
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==How to increase patient engagement / participation== | ==How to increase patient engagement / participation== | ||
Encouraging the patient to participate in decisions may increase engagement and [[patient compliance]].<ref name="pmid17986698">{{cite journal |author=Bodenheimer T|title=A 63-year-old man with multiple cardiovascular risk factors and poor adherence to treatment plans |journal=JAMA |volume=298 |issue=17 |pages=2048–55 |year=2007|pmid=17986698 |doi=10.1001/jama.298.16.jrr70000}}</ref><ref name=" | Encouraging the patient to participate in decisions may increase engagement and [[patient compliance]].<ref name="pmid17986698">{{cite journal |author=Bodenheimer T|title=A 63-year-old man with multiple cardiovascular risk factors and poor adherence to treatment plans |journal=JAMA |volume=298 |issue=17 |pages=2048–55 |year=2007|pmid=17986698 |doi=10.1001/jama.298.16.jrr70000}}</ref><ref name="pmid22127797">{{cite journal| author=Greene J, Hibbard JH| title=Why does patient activation matter? An examination of the relationships between patient activation and health-related outcomes. | journal=J Gen Intern Med | year= 2012 | volume= 27 | issue= 5 | pages= 520-6 | pmid=22127797 | doi=10.1007/s11606-011-1931-2 | pmc=3326094 | url=https://www.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&tool=sumsearch.org/cite&retmode=ref&cmd=prlinks&id=22127797 }} </ref> Using stories to describe medical evidence may help communication.<ref name="pmid17763914">{{cite journal |author=Steiner JF |title=Using stories to disseminate research: the attributes of representative stories |journal=Journal of general internal medicine : official journal of the Society for Research and Education in Primary Care Internal Medicine |volume=22 |issue=11 |pages=1603–7 |year=2007 |pmid=17763914|doi=10.1007/s11606-007-0335-9}}</ref> | ||
===Mobile Health=== | ===Mobile Health=== | ||
Revision as of 12:04, 2 October 2017
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1] Associate Editor(s)-in-Chief: Meagan Miller; Sara Dawit; Anna Scheuffele; Travis Haneke; Amanda Just; Evan Ball
Overview
Patient engagement, also called patient activation or patient participation, is defined as "patient involvement in the decision-making process in matters pertaining to health."[1]
Measuring patient engagement
Patient activation can be measured with the "Patient Activation Measure".[2]
Readiness to change can be measured by the Readiness to Change Ruler[3][4] or by the University of Rhode Island Change Assessment (URICA) questionnaire[5] based on the Transtheoretical Model of Change. The URICA is 23 or 32 items and a 12 item "'Readiness to change" version[6] has been developed. The Ruler correlates with the full questionnaire[7][6] and predicts behavioral intentions[7].
How to increase patient engagement / participation
Encouraging the patient to participate in decisions may increase engagement and patient compliance.[8][2] Using stories to describe medical evidence may help communication.[9]
Mobile Health
Mobile phone text messaging approximately doubles the odds of medication adherence. A meta analysis was conducted of 16 randomized control trials to assess the effect of mobile phone text messaging on medication adherence in the setting chronic disease. Study concluded that this intervention improved adherence rates from 50% to 67.8% or an absolute increase of 17.8%.[10]
A smartphone app may improve adherence and total weight loss after 6 months when compared to a website monitoring group. [11] In a pilot study done in the UK, a sample of 128 overweight individuals were randomized to receive a weight management intervention delivered by smartphone app, website, or paper diary. The smartphone app intervention, My Meal Mate (MMM), was developed by the research team using an evidence-based behavioral approach. [11]
- Trial retention was 93% in the smartphone group, 55% in the website group, and 53% in the paper diary group at 6 months.
- Adherence means were 92 days in the smartphone group, 35 days in the website group, and 29 days in the paper diary group.
- Mean weight loss and BMI reduction, respectively, at 6 months were -4.6 kg and -1.6 kg/m2 in the smartphone group, -2.9 kg and -1.0 kg/m2 in the paper diary group, and -1.3 kg and -0.5 kg/m2 in the website group.
Regarding care of diabetes mellitus: A meta-analysis and more recent trial have found that mobile health technology has a greater reduction in hemoglobin A1c.[12][13]
Regarding coronary artery disease, a randomized controlled trial found reduction of risk factors associated with using mobile health.[14].
Regarding physical activity, text messaging may give short term improvement.[15]
References
- ↑ Patient participation. National Library of Medicine - Medical Subject Headings. Available at https://www.nlm.nih.gov/cgi/mesh/2016/MB_cgi?mode=&term=Patient+Participation
- ↑ 2.0 2.1 Greene J, Hibbard JH (2012). "Why does patient activation matter? An examination of the relationships between patient activation and health-related outcomes". J Gen Intern Med. 27 (5): 520–6. doi:10.1007/s11606-011-1931-2. PMC 3326094. PMID 22127797.
- ↑ Readiness-to-Change Ruler Adult Mededucation
- ↑ Zimmerman GL, Olsen CG, Bosworth MF (2000). "A 'stages of change' approach to helping patients change behavior". Am Fam Physician. 61 (5): 1409–16. PMID 10735346.
- ↑ DiClemente CC, Hughes SO (1990). "Stages of change profiles in outpatient alcoholism treatment". J Subst Abuse. 2 (2): 217–35. PMID 2136111.
- ↑ 6.0 6.1 Rollnick S, Heather N, Gold R, Hall W (1992). "Development of a short 'readiness to change' questionnaire for use in brief, opportunistic interventions among excessive drinkers". Br J Addict. 87 (5): 743–54. PMID 1591525.
- ↑ 7.0 7.1 LaBrie JW, Quinlan T, Schiffman JE, Earleywine ME (2005). "Performance of alcohol and safer sex change rulers compared with readiness to change questionnaires". Psychol Addict Behav. 19 (1): 112–5. doi:10.1037/0893-164X.19.1.112. PMID 15783287.
- ↑ Bodenheimer T (2007). "A 63-year-old man with multiple cardiovascular risk factors and poor adherence to treatment plans". JAMA. 298 (17): 2048–55. doi:10.1001/jama.298.16.jrr70000. PMID 17986698.
- ↑ Steiner JF (2007). "Using stories to disseminate research: the attributes of representative stories". Journal of general internal medicine : official journal of the Society for Research and Education in Primary Care Internal Medicine. 22 (11): 1603–7. doi:10.1007/s11606-007-0335-9. PMID 17763914.
- ↑ Thakkar J, Kurup R, Laba TL, Santo K, Thiagalingam A, Rodgers A; et al. (2016). "Mobile Telephone Text Messaging for Medication Adherence in Chronic Disease: A Meta-analysis". JAMA Intern Med. doi:10.1001/jamainternmed.2015.7667. PMID 26831740.
- ↑ 11.0 11.1 Rahal JJ, Simberkoff MS (1986). "Comparative bactericidal activity of penicillin-netilmicin and penicillin-gentamicin against enterococci". J Antimicrob Chemother. 17 (5): 585–91. PMID 3636323.
- ↑ Hou C, Carter B, Hewitt J, Francisa T, Mayor S (2016). "Do Mobile Phone Applications Improve Glycemic Control (HbA1c) in the Self-management of Diabetes? A Systematic Review, Meta-analysis, and GRADE of 14 Randomized Trials". Diabetes Care. 39 (11): 2089–2095. doi:10.2337/dc16-0346. PMID 27926892.
- ↑ Hsu WC, Lau KH, Huang R, Ghiloni S, Le H, Gilroy S; et al. (2016). "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. 18 (2): 59–67. doi:10.1089/dia.2015.0160. PMID 26645932.
- ↑ Chow CK, Redfern J, Hillis GS, Thakkar J, Santo K, Hackett ML; et al. (2015). "Effect of Lifestyle-Focused Text Messaging on Risk Factor Modification in Patients With Coronary Heart Disease: A Randomized Clinical Trial". JAMA. 314 (12): 1255–63. doi:10.1001/jama.2015.10945. PMID 26393848. Review in: Ann Intern Med. 2016 Jan 19;164(2):JC7
- ↑ Agboola, Stephen; Jethwani, Kamal; Lopez, Lenny; Searl, Meghan; O’Keefe, Sandra; Kvedar, Joseph (2016-11-18). "Text to Move: A Randomized Controlled Trial of a Text-Messaging Program to Improve Physical Activity Behaviors in Patients With Type 2 Diabetes Mellitus". Journal of Medical Internet Research. 18 (11): –307. doi:10.2196/jmir.6439. ISSN 1438-8871. Retrieved 2016-11-18.