Disparities in the use of a mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes

Oxford University Press (OUP) - Tập 23 Số 1 - Trang 12-18 - 2016
Lyndsay A. Nelson1,2, Shelagh A. Mulvaney3,4,5,6, Tebeb Gebretsadik7, Yun-Xian Ho4, Kevin B. Johnson4,5, Chandra Y. Osborn3,1,4,2
1Center for Health Behavior and Health Education, Vanderbilt University, Nashville, TN, USA
2Department of Medicine Vanderbilt University Nashville TN USA
3Center for Diabetes Translational Research, Vanderbilt University, Nashville, TN, USA
4Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
5Department of Pediatrics, Vanderbilt University, Nashville, TN, USA
6School of Nursing, Vanderbilt University, Nashville, TN, USA
7Department of Biostatistics, Vanderbilt University, Nashville, TN, USA

Tóm tắt

Abstract Objective Mobile health (mHealth) interventions may improve diabetes outcomes, but require engagement. Little is known about what factors impede engagement, so the authors examined the relationship between patient factors and engagement in an mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes (T2DM). Materials and Methods Eighty patients with T2DM participated in a 3-month mHealth intervention called MEssaging for Diabetes that leveraged a mobile communications platform. Participants received daily text messages addressing and assessing medication adherence, and weekly interactive automated calls with adherence feedback and questions for problem solving. Longitudinal repeated measures analyses assessed the relationship between participants’ baseline characteristics and the probability of engaging with texts and calls. Results On average, participants responded to 84.0% of texts and participated in 57.1% of calls. Compared to Whites, non-Whites had a 63% decreased relative odds (adjusted odds ratio [AOR] = 0.37, 95% confidence interval [CI], 0.19-0.73) of participating in calls. In addition, lower health literacy was associated with a decreased odds of participating in calls (AOR = 0.67, 95% CI, 0.46-0.99, P = .04), whereas older age ( Pnonlinear = .01) and more depressive symptoms (AOR = 0.62, 95% CI, 0.38-1.02, P = .059) trended toward a decreased odds of responding to texts. Conclusions Racial/ethnic minorities, older adults, and persons with lower health literacy or more depressive symptoms appeared to be the least engaged in a mHealth intervention. To facilitate equitable intervention impact, future research should identify and address factors interfering with mHealth engagement.

Từ khóa


Tài liệu tham khảo

Cramer, 2004, A systematic review of adherence with medications for diabetes, Diabetes Care., 27, 1218, 10.2337/diacare.27.5.1218

Ho, 2006, Effect of medication nonadherence on hospitalization and mortality among patients with diabetes mellitus, Arch Intern Med., 166, 1836, 10.1001/archinte.166.17.1836

Egede, 2011, Regional, geographic, and racial/ethnic variation in glycemic control in a national sample of veterans with diabetes, Diabetes Care., 34, 938, 10.2337/dc10-1504

Osborn, 2011, Health literacy explains racial disparities in diabetes medication adherence, J Health Commun., 16, 268, 10.1080/10810730.2011.604388

Kim, 2010, Refill adherence to oral hypoglycemic agents and glycemic control in veterans, Ann Pharmacother., 44, 800, 10.1345/aph.1M570

Heisler, 2007, Mechanisms for racial and ethnic disparities in glycemic control in middle-aged and older Americans in the health and retirement study, Arch Intern Med., 167, 1853, 10.1001/archinte.167.17.1853

Hong, 2011, Relationship between oral antihyperglycemic medication adherence and hospitalization, mortality, and healthcare costs in adult ambulatory care patients with type 2 diabetes in South Korea, Med Care., 49, 378, 10.1097/MLR.0b013e31820292d1

Salas, 2009, Costs of medication nonadherence in patients with diabetes mellitus: A systematic review and critical analysis of the literature, Value Health., 12, 915, 10.1111/j.1524-4733.2009.00539.x

McDonald, 2002, Interventions to enhance patient adherence to medication prescriptions: scientific review, JAMA., 288, 2868, 10.1001/jama.288.22.2868

Kripalani, 2007, Interventions to enhance medication adherence in chronic medical conditions: A systematic review, Arch Intern Med., 167, 540, 10.1001/archinte.167.6.540

Duggan, 2013, Cell Phone Activities 2013

Smith, 2012, The Best (and worst) of Mobile Technology

Chakkalakal, 2014, Disparities in using technology to access health information: race versus health literacy, Diabetes Care., 37, e53, 10.2337/dc13-1984

Fox, 2012, Mobile Health 2012

Free, 2013, The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review, PLoS Med., 10, e1001362, 10.1371/journal.pmed.1001362

Beratarrechea, 2014, The impact of mobile health interventions on chronic disease outcomes in developing countries: A systematic review, Telemed J E-Health., 20, 75, 10.1089/tmj.2012.0328

Saffari, 2014, Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: a systematic review and meta-analysis, Prim Care Diab., 29, 275, 10.1016/j.pcd.2014.03.004

Arora, 2014, Trial to examine text message-based mHealth in emergency department patients with diabetes (TExT-MED): a randomized controlled trial, Ann Emerg Med., 63, 745, 10.1016/j.annemergmed.2013.10.012

Faridi, 2008, Evaluating the impact of mobile telephone technology on type 2 diabetic patients' self-management: The NICHE pilot study, J Eval Clin Pract., 14, 465, 10.1111/j.1365-2753.2007.00881.x

Katz, 2012, Lessons from a community-based mHealth diabetes self-management program: “It's not just about the cell phone", J Health Commun., 17, 67, 10.1080/10810730.2012.650613

Liang, 2011, Effect of mobile phone intervention for diabetes on glycaemic control: A meta-analysis, Diabet Med., 28, 455, 10.1111/j.1464-5491.2010.03180.x

Piette, 2014, Establishing an independent mobile health program for chronic disease self-management support in Bolivia, Front Public Health., 2, 1, 10.3389/fpubh.2014.00095

Mulvaney, 2012, A pilot test of a tailored mobile and web-based diabetes messaging system for adolescents, J Telemed Telecare., 18, 115, 10.1258/jtt.2011.111006

Piette, 2000, Interactive voice response systems in the diagnosis and management of chronic disease, Am J Manag Care., 6, 817

Osborn, 2013, Development and feasibility of a text messaging and interactive voice response intervention for low-income, diverse adults with type 2 diabetes mellitus, J Diabetes Sci Technol., 7, 612, 10.1177/193229681300700305

Wallston, 2014, Psychometric properties of the brief health literacy screen in clinical practice, J Gen Intern Med., 29, 119, 10.1007/s11606-013-2568-0

Kroenke, 2003, The Patient Health Questionnaire-2: validity of a two-item depression screener, Med Care., 41, 1284, 10.1097/01.MLR.0000093487.78664.3C

Freedman, 2006, On the so-called “Huber sandwich estimator” and “robust standard errors”, Am Stat., 60, 299, 10.1198/000313006X152207

Mayberry, 2013, The ARMS-D out performs the SDSCA, but both are reliable, valid, and predict glycemic control, Diabetes Res Clin Pract., 102, 96, 10.1016/j.diabres.2013.09.010

Kwon, 2004, Development of web-based diabetic patient management system using short message service (SMS), Diabetes Res Clin Pract., 66, S133, 10.1016/j.diabres.2003.10.028

Wangberg, 2008, Adherence in Internet-based interventions, Patient Pref Adherence., 2, 57

Loftin, 2005, Recruitment and retention of rural African Americans in diabetes research lessons learned, Diabetes Educ., 31, 251, 10.1177/0145721705275517

Yancey, 2006, Effective recruitment and retention of minority research participants, Annu Rev Public Health., 27, 1, 10.1146/annurev.publhealth.27.021405.102113

Osborn, 2013, Understanding patient portal use: implications for medication management, J Med Internet Res., 15, e133, 10.2196/jmir.2589

Mayberry, 2011, Bridging the digital divide in diabetes: family support and implications for health literacy, Diabetes Technol Ther., 13, 1005, 10.1089/dia.2011.0055

Christensen, 2009, Adherence in Internet interventions for anxiety and depression: systematic review, J Med Internet Res., 11, e13, 10.2196/jmir.1194

Ciechanowski, 2000, Depression and diabetes: impact of depressive symptoms on adherence, function, and costs, Arch Intern Med., 160, 3278, 10.1001/archinte.160.21.3278

Sanders, 2002, From user-centered to participatory design approaches, Design and the Social Sciences: Making Connections, 1

Lyles, 2014, Getting a technology-based diabetes intervention ready for prime time: a review of usability testing studies, Curr Diab Rep., 14, 1, 10.1007/s11892-014-0534-9

Thông tin
Thông tin xuất bản

Oxford University Press (OUP)

Tập 23 Số 1

12-18

Thông tin tác giả