Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study

Ronald W Gimbel, Lior M Rennert, Paul Crawford, Jeanette R Little, Khoa Truong, Joel E Williams, Sarah F Griffin, Lu Shi, Liwei Chen, LingLing Zhang, Jennie B Moss, Robert C Marshall, Karen W Edwards, Kristy J Crawford, Marie Hing, Amanda Schmeltz, Brandon Lumsden, Morgan Ashby, Elizabeth Haas, Kelly Palazzo, Ronald W Gimbel, Lior M Rennert, Paul Crawford, Jeanette R Little, Khoa Truong, Joel E Williams, Sarah F Griffin, Lu Shi, Liwei Chen, LingLing Zhang, Jennie B Moss, Robert C Marshall, Karen W Edwards, Kristy J Crawford, Marie Hing, Amanda Schmeltz, Brandon Lumsden, Morgan Ashby, Elizabeth Haas, Kelly Palazzo

Abstract

Background: Past mobile health (mHealth) efforts to empower type 2 diabetes (T2D) self-management include portals, text messaging, collection of biometric data, electronic coaching, email, and collection of lifestyle information.

Objective: The primary objective was to enhance patient activation and self-management of T2D using the US Department of Defense's Mobile Health Care Environment (MHCE) in a patient-centered medical home setting.

Methods: A multisite study, including a user-centered design and a controlled trial, was conducted within the US Military Health System. Phase I assessed preferences regarding the enhancement of the enabling technology. Phase II was a single-blinded 12-month feasibility study that randomly assigned 240 patients to either the intervention (n=123, received mHealth technology and behavioral messages tailored to Patient Activation Measure [PAM] level at baseline) or the control group (n=117, received equipment but not messaging. The primary outcome measure was PAM scores. Secondary outcome measures included Summary of Diabetes Self-Care Activities (SDSCA) scores and cardiometabolic outcomes. We used generalized estimating equations to estimate changes in outcomes.

Results: The final sample consisted of 229 patients. Participants were 61.6% (141/229) male, had a mean age of 62.9 years, mean glycated hemoglobin (HbA1c) of 7.5%, mean BMI of 32.7, and a mean duration of T2D diagnosis of 9.8 years. At month 12, the control group showed significantly greater improvements compared with the intervention group in PAM scores (control mean 7.49, intervention mean 1.77; P=.007), HbA1c (control mean -0.53, intervention mean -0.11; P=.006), and low-density lipoprotein cholesterol (control mean -7.14, intervention mean 4.38; P=.01). Both groups showed significant improvement in SDSCA, BMI, waist size, and diastolic blood pressure; between-group differences were not statistically significant. Except for patients with the highest level of activation (PAM level 4), intervention group patients exhibited significant improvements in PAM scores. For patients with the lowest level of activation (PAM level 1), the intervention group showed significantly greater improvement compared with the control group in HbA1c (control mean -0.09, intervention mean -0.52; P=.04), BMI (control mean 0.58, intervention mean -1.22; P=.01), and high-density lipoprotein cholesterol levels (control mean -4.86, intervention mean 3.56; P<.001). Significant improvements were seen in AM scores, SDSCA, and waist size for both groups and in diastolic and systolic blood pressure for the control group; the between-group differences were not statistically significant. The percentage of participants who were engaged with MHCE for ≥50% of days period was 60.7% (68/112; months 0-3), 57.4% (62/108; months 3-6), 49.5% (51/103; months 6-9), and 43% (42/98; months 9-12).

Conclusions: Our study produced mixed results with improvement in PAM scores and outcomes in both the intervention and control groups. Structural design issues may have hampered the influence of tailored behavioral messaging within the intervention group.

Trial registration: ClinicalTrials.gov NCT02949037; https://ichgcp.net/clinical-trials-registry/NCT02949037.

International registered report identifier (irrid): RR2-10.2196/resprot.6993.

Keywords: diabetes mellitus; eHealth; mHealth; patient activation; patient-centered care.

Conflict of interest statement

Conflicts of Interest: JL and AS are federal employees charged with oversight of the DoD’s MHCE mHealth system used in the study. None of the other authors report any conflicts of interest.

©Ronald W Gimbel, Lior M Rennert, Paul Crawford, Jeanette R Little, Khoa Truong, Joel E Williams, Sarah F Griffin, Lu Shi, Liwei Chen, LingLing Zhang, Jennie B Moss, Robert C Marshall, Karen W Edwards, Kristy J Crawford, Marie Hing, Amanda Schmeltz, Brandon Lumsden, Morgan Ashby, Elizabeth Haas, Kelly Palazzo. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 26.05.2020.

References

    1. Sudore RL, Karter AJ, Huang ES, Moffet HH, Laiteerapong N, Schenker Y, Adams A, Whitmer RA, Liu JY, Miao Y, John PM, Schillinger D. Symptom burden of adults with type 2 diabetes across the disease course: diabetes & aging study. J Gen Intern Med. 2012 Dec;27(12):1674–81. doi: 10.1007/s11606-012-2132-3.
    1. Vigersky RA. An overview of management issues in adult patients with type 2 diabetes mellitus. J Diabetes Sci Technol. 2011 Mar 1;5(2):245–50. doi: 10.1177/193229681100500207.
    1. Centers for Disease Control and Prevention. 2018. [2019-11-01]. Division of Diabetes Translation At A Glance .
    1. Scollan-Koliopoulos M, Bleich D, Rapp KJ, Wong P, Hofmann CJ, Raghuwanshi M. Health-related quality of life, disease severity, and anticipated trajectory of diabetes. Diabetes Educ. 2013;39(1):83–91. doi: 10.1177/0145721712467697.
    1. Wang Y, Xue H, Huang Y, Huang L, Zhang D. A systematic review of application and effectiveness of mhealth interventions for obesity and diabetes treatment and self-management. Adv Nutr. 2017 May;8(3):449–62. doi: 10.3945/an.116.014100.
    1. Fatehi F, Gray LC, Russell AW. Mobile health (mhealth) for diabetes care: opportunities and challenges. Diabetes Technol Ther. 2017 Jan;19(1):1–3. doi: 10.1089/dia.2016.0430.
    1. Snider JT, Sullivan J, van Eijndhoven E, Hansen MK, Bellosillo N, Neslusan C, O'Brien E, Riley R, Seabury S, Kasiske BL. Lifetime benefits of early detection and treatment of diabetic kidney disease. PLoS One. 2019;14(5):e0217487. doi: 10.1371/journal.pone.0217487.
    1. Avogaro A, Fadini GP. Microvascular complications in diabetes: a growing concern for cardiologists. Int J Cardiol. 2019 Sep 15;291:29–35. doi: 10.1016/j.ijcard.2019.02.030.
    1. American Diabetes Association Economic costs of diabetes in the US In 2017. Diabetes Care. 2018 May;41(5):917–28. doi: 10.2337/dci18-0007.
    1. Arora S, Peters AL, Agy C, Menchine M. A mobile health intervention for inner city patients with poorly controlled diabetes: proof-of-concept of the TExT-MED program. Diabetes Technol Ther. 2012 Jun;14(6):492–6. doi: 10.1089/dia.2011.0252.
    1. Mohsin AH, Zaidan AA, Zaidan BB, Albahri OS, Albahri AS, Alsalem MA, Mohammed KI. Based medical systems for patient's authentication: towards a new verification secure framework using CIA standard. J Med Syst. 2019 May 22;43(7):192. doi: 10.1007/s10916-019-1264-y.
    1. Capozza K, Woolsey S, Georgsson M, Black J, Bello N, Lence C, Oostema S, North C. Going mobile with diabetes support: a randomized study of a text message-based personalized behavioral intervention for type 2 diabetes self-care. Diabetes Spectr. 2015 May;28(2):83–91. doi: 10.2337/diaspect.28.2.83.
    1. Sahin C, Courtney KL, Naylor PJ, Rhodes RE. Tailored mobile text messaging interventions targeting type 2 diabetes self-management: a systematic review and a meta-analysis. Digit Health. 2019;5:2055207619845279. doi: 10.1177/2055207619845279.
    1. Borrelli B, Henshaw M, Endrighi R, Adams WG, Heeren T, Rosen RK, Bock B, Werntz S. An interactive parent-targeted text messaging intervention to improve oral health in children attending urban pediatric clinics: feasibility randomized controlled trial. JMIR Mhealth Uhealth. 2019 Nov 11;7(11):e14247. doi: 10.2196/14247.
    1. Kruse C, Betancourt J, Ortiz S, Luna SM, Bamrah IK, Segovia N. Barriers to the use of mobile health in improving health outcomes in developing countries: systematic review. J Med Internet Res. 2019 Oct 9;21(10):e13263. doi: 10.2196/13263.
    1. McGill DE, Volkening LK, Butler DA, Wasserman RM, Anderson BJ, Laffel LM. Text-message responsiveness to blood glucose monitoring reminders is associated with HbA benefit in teenagers with type 1 diabetes. Diabet Med. 2019 May;36(5):600–5. doi: 10.1111/dme.13929.
    1. Chung S, Panattoni L, Chi J, Palaniappan L. Can secure patient-provider messaging improve diabetes care? Diabetes Care. 2017 Oct;40(10):1342–8. doi: 10.2337/dc17-0140.
    1. Sun R, Korytkowski MT, Sereika SM, Saul MI, Li D, Burke LE. Patient portal use in diabetes management: literature review. JMIR Diabetes. 2018 Nov 6;3(4):e11199. doi: 10.2196/11199.
    1. Gram IT, Larbi D, Wangberg SC. Comparing the efficacy of an identical, tailored smoking cessation intervention delivered by mobile text messaging versus email: randomized controlled trial. JMIR Mhealth Uhealth. 2019 Sep 27;7(9):e12137. doi: 10.2196/12137.
    1. Ukoha EP, Feinglass J, Yee LM. Disparities in electronic patient portal use in prenatal care: retrospective cohort study. J Med Internet Res. 2019 Sep 23;21(9):e14445. doi: 10.2196/14445.
    1. Gimbel R, Shi L, Williams JE, Dye CJ, Chen L, Crawford P, Shry EA, Griffin SF, Jones KO, Sherrill WW, Truong K, Little JR, Edwards KW, Hing M, Moss JB. Enhancing mhealth technology in the patient-centered medical home environment to activate patients with type 2 diabetes: a multisite feasibility study protocol. JMIR Res Protoc. 2017 Mar 6;6(3):e38. doi: 10.2196/resprot.6993.
    1. Greene J, Hibbard JH, Sacks R, Overton V, Parrotta CD. When patient activation levels change, health outcomes and costs change, too. Health Aff (Millwood) 2015 Mar;34(3):431–7. doi: 10.1377/hlthaff.2014.0452.
    1. Mattingly TJ, Tom SE, Stuart B, Onukwugha E. Examining patient-provider relationship (PPR) quality and patient activation in the medicare population. Aging Clin Exp Res. 2017 Jun;29(3):543–8. doi: 10.1007/s40520-016-0600-z.
    1. Cronin R, Dorner T, Utrankar A, Allen W, Rodeghier M, Kassim A, Jackson GP, de Baun MR. Increased patient activation is associated with fewer emergency room visits and hospitalizations for pain in adults with sickle cell disease. Pain Med. 2019 Aug 1;20(8):1464–71. doi: 10.1093/pm/pny194.
    1. Queenan C, Cameron K, Snell A, Smalley J, Joglekar N. Patient heal thyself: reducing hospital readmissions with technology‐enabled continuity of care and patient activation. Prod Oper Manag. 2019 Aug 11;28(11):2841–53. doi: 10.1111/poms.13080.
    1. Ammenwerth E, Hoerbst A, Lannig S, Mueller G, Siebert U, Schnell-Inderst P. Effects of adult patient portals on patient empowerment and health-related outcomes: a systematic review. Stud Health Technol Inform. 2019 Aug 21;264:1106–10. doi: 10.3233/SHTI190397.
    1. Schnock KO, Snyder JE, Fuller TE, Duckworth M, Grant M, Yoon C, Lipsitz S, Dalal AK, Bates DW, Dykes PC. Acute care patient portal intervention: portal use and patient activation. J Med Internet Res. 2019 Jul 18;21(7):e13336. doi: 10.2196/13336.
    1. Denneson L, Pisciotta M, Hooker E, Trevino A, Dobscha S. Impacts of a web-based educational program for veterans who read their mental health notes online. J Am Med Inform Assoc. 2019 Jan 1;26(1):3–8. doi: 10.1093/jamia/ocy134.
    1. Ammenwerth E, Schnell-Inderst P, Hoerbst A. Patient empowerment by electronic health records: first results of a systematic review on the benefit of patient portals. Stud Health Technol Inform. 2011;165:63–7.
    1. Irizarry T, DeVito Dabbs A, Curran CR. Patient portals and patient engagement: a state of the science review. J Med Internet Res. 2015 Jun 23;17(6):e148. doi: 10.2196/jmir.4255.
    1. Riippa I, Linna M, Rönkkö I. The effect of a patient portal with electronic messaging on patient activation among chronically ill patients: controlled before-and-after study. J Med Internet Res. 2014 Nov 19;16(11):e257. doi: 10.2196/jmir.3462.
    1. Apter AJ, Bryant-Stephens T, Perez L, Morales KH, Howell JT, Mullen AN, Han X, Canales M, Rogers M, Klusaritz H, Localio AR. Patient portal usage and outcomes among adult patients with uncontrolled asthma. J Allergy Clin Immunol Pract. 2020 Mar;8(3):965–70.e4. doi: 10.1016/j.jaip.2019.09.034.
    1. Otte-Trojel T, de Bont A, Rundall TG, van de Klundert J. How outcomes are achieved through patient portals: a realist review. J Am Med Inform Assoc. 2014;21(4):751–7. doi: 10.1136/amiajnl-2013-002501.
    1. Wagner PJ, Dias J, Howard S, Kintziger KW, Hudson MF, Seol Y, Sodomka P. Personal health records and hypertension control: a randomized trial. J Am Med Inform Assoc. 2012;19(4):626–34. doi: 10.1136/amiajnl-2011-000349.
    1. Schuit AS, Holtmaat K, Hooghiemstra N, Jansen F, Lissenberg-Witte BI, Coupé VM, van Linde ME, Becker-Commissaris A, Reijneveld JC, Zijlstra JM, Sommeijer DW, Eerenstein SE, Verdonck-de Leeuw IM. Efficacy and cost-utility of the ehealth application 'Oncokompas', supporting patients with incurable cancer in finding optimal palliative care, tailored to their quality of life and personal preferences: a study protocol of a randomized controlled trial. BMC Palliat Care. 2019 Oct 23;18(1):85. doi: 10.1186/s12904-019-0468-8.
    1. Dobson R, Whittaker R, Jiang Y, Maddison R, Shepherd M, McNamara C, Cutfield R, Khanolkar M, Murphy R. Effectiveness of text message based, diabetes self management support programme (SMS4BG): two arm, parallel randomised controlled trial. Br Med J. 2018 May 17;361:k1959. doi: 10.1136/bmj.k1959.
    1. Almutairi N, Hosseinzadeh H, Gopaldasani V. The effectiveness of patient activation intervention on type 2 diabetes mellitus glycemic control and self-management behaviors: a systematic review of RCTs. Prim Care Diabetes. 2020 Feb;14(1):12–20. doi: 10.1016/j.pcd.2019.08.009.
    1. Su D, Michaud TL, Estabrooks P, Schwab RJ, Eiland LA, Hansen G, DeVany M, Zhang D, Li Y, Pagán JA, Siahpush M. Diabetes management through remote patient monitoring: the importance of patient activation and engagement with the technology. Telemed J E Health. 2019 Oct;25(10):952–9. doi: 10.1089/tmj.2018.0205.
    1. Kim JY, Wineinger NE, Steinhubl SR. The influence of wireless self-monitoring program on the relationship between patient activation and health behaviors, medication adherence, and blood pressure levels in hypertensive patients: a substudy of a randomized controlled trial. J Med Internet Res. 2016 Jun 22;18(6):e116. doi: 10.2196/jmir.5429.
    1. Zimbudzi E, Lo C, Ranasinha S, Kerr PG, Polkinghorne KR, Teede H, Usherwood T, Walker RG, Johnson G, Fulcher G, Zoungas S. The association between patient activation and self-care practices: a cross-sectional study of an Australian population with comorbid diabetes and chronic kidney disease. Health Expect. 2017 Dec;20(6):1375–84. doi: 10.1111/hex.12577.
    1. McCabe PJ, Stuart-Mullen LG, McLeod CJ, O Byrne T, Schmidt MM, Branda ME, Griffin JM. Patient activation for self-management is associated with health status in patients with atrial fibrillation. Patient Prefer Adherence. 2018;12:1907–16. doi: 10.2147/PPA.S172970. doi: 10.2147/PPA.S172970.
    1. Greene J, Hibbard JH. Why does patient activation matter? An examination of the relationships between patient activation and health-related outcomes. J Gen Intern Med. 2012 May;27(5):520–6. doi: 10.1007/s11606-011-1931-2.
    1. Hibbard J, Stockard J, Mahoney E, Tusler M. Development of the patient activation measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res. 2004 Aug;39(4 Pt 1):1005–26. doi: 10.1111/j.1475-6773.2004.00269.x.
    1. Georgsson M, Staggers N. Quantifying usability: an evaluation of a diabetes mhealth system on effectiveness, efficiency, and satisfaction metrics with associated user characteristics. J Am Med Inform Assoc. 2016 Jan;23(1):5–11. doi: 10.1093/jamia/ocv099.
    1. Sauro J, Dumas J. Comparison of Three One-question, Post-task Usability Questionnaires. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; CHI'09; April 4-9, 2009; Boston, MA. 2009.
    1. Sauro J, Lewis J. Quantifying the User Experience: Practical Statistics for User Research. Waltham, MA: Morgan Kaufmann; 2012.
    1. Kidd PS, Parshall MB. Getting the focus and the group: enhancing analytical rigor in focus group research. Qual Health Res. 2000 May;10(3):293–308. doi: 10.1177/104973200129118453.
    1. Thorn S. Data analysis in qualitative research. Evid Based Nurs. 2000;3:68–70. doi: 10.1136/ebn.3.3.68.
    1. Thomas DR. A general inductive approach for analyzing qualitative evaluation data. Am J Eval. 2016 Jun 30;27(2):237–46. doi: 10.1177/1098214005283748.
    1. Harvey L, Fowles JB, Xi M, Terry P. When activation changes, what else changes? the relationship between change in patient activation measure (PAM) and employees' health status and health behaviors. Patient Educ Couns. 2012 Aug;88(2):338–43. doi: 10.1016/j.pec.2012.02.005.
    1. Mosen DM, Schmittdiel J, Hibbard J, Sobel D, Remmers C, Bellows J. Is patient activation associated with outcomes of care for adults with chronic conditions? J Ambul Care Manage. 2007;30(1):21–9. doi: 10.1097/00004479-200701000-00005.
    1. Rask KJ, Ziemer DC, Kohler SA, Hawley JN, Arinde FJ, Barnes CS. Patient activation is associated with healthy behaviors and ease in managing diabetes in an indigent population. Diabetes Educ. 2009;35(4):622–30. doi: 10.1177/0145721709335004.
    1. Rogvi S, Tapager I, Almdal T, Schiøtz ML, Willaing I. Patient factors and glycaemic control-associations and explanatory power. Diabet Med. 2012 Oct;29(10):e382–9. doi: 10.1111/j.1464-5491.2012.03703.x.
    1. Toobert DJ, Hampson SE, Glasgow RE. The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care. 2000 Jul;23(7):943–50. doi: 10.2337/diacare.23.7.943.
    1. Gonzalez J, Safren S, Delahanty L, Cagliero E, Wexler D, Meigs J, Grant RW. Symptoms of depression prospectively predict poorer self-care in patients with type 2 diabetes. Diabet Med. 2008 Sep;25(9):1102–7. doi: 10.1111/j.1464-5491.2008.02535.x.
    1. Watkins YJ, Quinn LT, Ruggiero L, Quinn MT, Choi Y. Spiritual and religious beliefs and practices and social support's relationship to diabetes self-care activities in African Americans. Diabetes Educ. 2013;39(2):231–9. doi: 10.1177/0145721713475843.
    1. Primožič S, Tavčar R, Avbelj M, Dernovšek MZ, Oblak MR. Specific cognitive abilities are associated with diabetes self-management behavior among patients with type 2 diabetes. Diabetes Res Clin Pract. 2012 Jan;95(1):48–54. doi: 10.1016/j.diabres.2011.09.004.
    1. Cohen H, Shmukler C, Ullman R, Rivera C, Walker E. Measurements of medication adherence in diabetic patients with poorly controlled HbA(1c) Diabet Med. 2010 Feb;27(2):210–6. doi: 10.1111/j.1464-5491.2009.02898.x.
    1. Bangor A, Kortum PT, Miller JT. An empirical evaluation of the system usability scale. Int J Hum-Comput Int. 2008 Jul 30;24(6):574–94. doi: 10.1080/10447310802205776.
    1. Diggle P, Heagerty P, Liang K, Zeger S. Analysis of Longitudinal Data. Second Edition. Oxford, UK: Oxford University Press; 2002.
    1. Wildenbos GA, Peute L, Jaspers M. Aging barriers influencing mobile health usability for older adults: a literature based framework (MOLD-US) Int J Med Inform. 2018 Jun;114:66–75. doi: 10.1016/j.ijmedinf.2018.03.012.
    1. Bender MS, Cooper BA, Park LG, Padash S, Arai S. A feasible and efficacious mobile-phone based lifestyle intervention for Filipino Americans with type 2 diabetes: randomized controlled trial. JMIR Diabetes. 2017 Dec 12;2(2):e30. doi: 10.2196/diabetes.8156.
    1. Young H, Miyamoto S, Dharmar M, Tang-Feldman Y. Nurse coaching and mobile health compared with usual care to improve diabetes self-efficacy for persons with type 2 diabetes: randomized controlled trial. JMIR Mhealth Uhealth. 2020 Mar 2;8(3):e16665. doi: 10.2196/16665.
    1. Block G, Azar KM, Romanelli RJ, Block TJ, Hopkins D, Carpenter HA, Dolginsky MS, Hudes ML, Palaniappan LP, Block CH. Diabetes prevention and weight loss with a fully automated behavioral intervention by email, web, and mobile phone: a randomized controlled trial among persons with prediabetes. J Med Internet Res. 2015 Oct 23;17(10):e240. doi: 10.2196/jmir.4897.
    1. Koot D, Goh PS, Lim RS, Tian Y, Yau TY, Tan NC, Finkelstein EA. A mobile lifestyle management program (GlycoLeap) for people with type 2 diabetes: single-arm feasibility study. JMIR Mhealth Uhealth. 2019 May 24;7(5):e12965. doi: 10.2196/12965.
    1. Everett E, Kane B, Yoo A, Dobs A, Mathioudakis N. A novel approach for fully automated, personalized health coaching for adults with prediabetes: pilot clinical trial. J Med Internet Res. 2018 Feb 27;20(2):e72. doi: 10.2196/jmir.9723.
    1. Bell AM, Fonda SJ, Walker MS, Schmidt V, Vigersky RA. Mobile phone-based video messages for diabetes self-care support. J Diabetes Sci Technol. 2012 Mar 1;6(2):310–9. doi: 10.1177/193229681200600214.
    1. Spring B, Schneider K, McFadden HG, Vaughn J, Kozak AT, Smith M, Moller AC, Epstein LH, Demott A, Hedeker D, Siddique J, Lloyd-Jones DM. Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology. Arch Intern Med. 2012 May 28;172(10):789–96. doi: 10.1001/archinternmed.2012.1044.
    1. Nelson LA, Mayberry LS, Wallston K, Kripalani S, Bergner EM, Osborn CY. Development and usability of REACH: a tailored theory-based text messaging intervention for disadvantaged adults with type 2 diabetes. JMIR Hum Factors. 2016 Sep 8;3(2):e23. doi: 10.2196/humanfactors.6029.
    1. Gimbel RW, Pangaro L, Barbour G. America's 'undiscovered' laboratory for health services research. Med Care. 2010 Aug;48(8):751–6. doi: 10.1097/MLR.0b013e3181e35be8.
    1. Saffari M, Ghanizadeh G, Koenig HG. Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: a systematic review and meta-analysis. Prim Care Diabetes. 2014 Dec;8(4):275–85. doi: 10.1016/j.pcd.2014.03.004.
    1. Sepah SC, Jiang L, Ellis RJ, McDermott K, Peters AL. Engagement and outcomes in a digital diabetes prevention program: 3-year update. BMJ Open Diabetes Res Care. 2017;5(1):e000422. doi: 10.1136/bmjdrc-2017-000422.
    1. Zheng Y, Burke LE, Danford CA, Ewing LJ, Terry MA, Sereika SM. Patterns of self-weighing behavior and weight change in a weight loss trial. Int J Obes (Lond) 2016 Sep;40(9):1392–6. doi: 10.1038/ijo.2016.68.

Source: PubMed

3
購読する