A Systematic Review Of Chronic Disease And Medication Adherences With Special Focus On Diabetes Mellitus And Hypertension.
Adherence to chronic disease management is critical to achieving improved health outcomes, quality of life, and cost-effective health care. As the burden of chronic diseases continues to grow globally, so does the impact of non-adherence. Mobile technologies are increasingly being used in health care and public health practice (mHealth) for patient communication, monitoring, and education, and to facilitate adherence to chronic diseases management. Tight glycaemic control is essential, and good adherence is associated with a lower risk of all-cause mortality and hospitalization in people with T2D. A significant number of people with T2D do not take medication as prescribed and therefore have poor outcomes. The key factors for not achieving targets include therapeutic inertia and adherence. Reasons for poor adherence include perception of treatment, complexity of treatment and adverse effects. Nonadherence is a common reason for treatment failure and treatment resistance. No matter how it is defined, it is a major issue in the management of chronic illnesses. There are numerous methods to assess adherence, each with its own strengths and weaknesses; however, no single method is considered the best. Nonadherence is common in patients with hypertension, and it is present in a large proportion of patients with uncontrolled blood pressure taking three or more antihypertensive agents. Availability of procedure-based treatment options for these patients has shed further light on this important issue with development of new methods to assess adherence. There is potential for mHealth tools to better facilitate adherence to chronic disease management, but the evidence supporting its current effectiveness is mixed. Further research should focus on understanding and improving how mHealth tools can overcome specific barriers to adherence.
2. Rudnick KV, Sackett DL, Hirst S, Holmes C. Hypertension in a family practice. Can Med Assoc J. 1977;117(5):492–497. PubMed PMID: 1879998
3. Zhang Z, Peluso MJ, Gross CP, Viscoli CM, Kernan WN. Adherence reporting in randomized controlled trials. Clin Trials. 2014;11(2):195–204. http://dx.doi.org/10.1177/1740774513512565
4. Waeber B, Leonetti G, Kolloch R, McInnes GT, group ftHs. Compliance with aspirin or placebo in the hypertension optimal treatment (hot) study J Hypertens. 1999;17(7):1041–1045. PubMed PMID: 10419079
5. Claxton AJ, Cramer J, Pierce C. A systematic review of the associations between dose regimens and medication compliance. Clinical Therapeutics. 2001;23(8):1296–1310. https://doi.org/10.1016/S0149-2918(01)80109-0
6. Cramer J, Rosenheck R, Kirk G, Krol W, Krystal J. Medication compliance feedback and monitoring in a clinical trial: predictors and outcomes. Value Health. 2003;6(5):566–573. https://doi.org/10.1046/j.1524-4733.2003.65269.x
7. Belknap R, Weis S, Brookens A, et al. Feasibility of an ingestible sensor-based system for monitoring adherence to tuberculosis therapy. PloS One. 2013;8(1):e53373. http://dx.doi.org/10.1371/journal.pone.0053373
8. Liu H, Golin CE, Miller LG, et al. A comparison study of multiple measures of adherence to HIV protease inhibitors. Ann Intern Med. 2001;134(10):968–977. http://dx.doi.org/10.7326/0003-4819-134-10-200105150-00011
9. Turner BJ, Hecht FM. Improving on a coin toss to predict patient adherence to medications. Ann Intern Med. 2001;134(10):1004– 1006. http://dx.doi.org/10.7326/0003-4819-134-10-200105150-00015
10. Mancia G, Fagard R, Narkiewicz K, et al. 2013 esh/esc guidelines for the management of arterial hypertensionthe task force for the management of arterial hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). Eur Heart J. 2013;34(28):2159–2219. http://dx.doi.org/10.1093/eurheartj/eht151
11. Group SR, Wright JT Jr, Williamson JD, et al. A randomized trial of intensive versus standard blood-pressure control. N Engl J Med. 2015;373(22):2103–2116. http://dx.doi.org/10.1056/NEJMoa1511939
12. Whelton PK, Carey RM, Aronow WS, et al. 2017 acc/aha/aapa/abc/acpm/ags/apha/ash/aspc/nma/pcna guideline for the prevention, detection, evaluation, and management of high blood pressure in adults. A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018;71(19):e127–e248. http://dx.doi.org/10.1016/j.jacc.2017.11.006
13. Hajjar I, Kotchen TA. Trends in prevalence, awareness, treatment, and control of hypertension in the United States, 1988–2000. JAMA. 2003;290(2):199–206. http://dx.doi.org/10.1001/jama.290.2.199.
14. Bron M, Marynchenko M, Yang H, Yu A, Wu E. Hypoglycemia, treat-ment discontinuation, and costs in patients with type 2 diabetes mellitus on oral antidiabetic drugs. Postgrad Med 2012;124(1):124–32. https://doi.org/10.3810/pgm.2012.01.2525
15. McGovern A, Tippu Z, Hinton W, Munro N, Whyte M, de Lusignan S. Comparison of medication adherence and persistence in type 2 dia-betes: a systematic review and meta-analysis. Diabetes Obes Metab 2018;20(4):1040–3. https://doi.org/10.1111/dom.13160
16. McGovern A, Hinton W, Calderara S, Munro N, Whyte M, de Lusignan S. A class comparison of medication persistence in people with type 2 diabetes: a retrospective observational study. Diabetes Ther 2018;9(1):229–42. https://doi.org/10.1007/s13300-017-0361-5
17. Ho P, Rumsfeld J, Masoudi F, et al. Effect of medication nonadherence on hospitalization and mortality among patients with diabetes mellitus. Arch Intern Med 2006; 166(17):1836–41.
18. Curtis S, Boye K, Lage M, Garcia-Perez L. Medication adherence and improved outcomes among patients with type 2 diabetes. Am J Manag Care 2017; 23(7):e208–e214.
19. Wu Y, Yao X, Vespasiani G, et al. Mobile app-based interventions to support diabetes self-management: a systematic review of randomized controlled trials to identify functions associated with glycemic efficacy. JMIR Mhealth Uhealth 2017;5(3):e35.
20. Zafar A, Stone MA, Davies M, Khunti K. Acknowledging and allocating responsibility for clinical inertia in the management of type 2 diabetes in primary care: a qualitative study. Diabet Med 2015;32(3):407–13.
21. Omran D, Guirguis L, Simpson S. Systematic review of pharmacist in-terventions to improve adherence to oral antidiabetic medications in people with type 2 diabetes. Can J Diabetes 2012; 36(5):292–9.
22. Schoenthaler A, Cuffee Y. A systematic review of interventions to. improve adherence to diabetes medications within the patient- practitioner interaction. J Clin Outcomes Manage 2013; 20(11):494–506.
23. . Williams J, Walker R, Smalls B, Campbell J, Egede L. Effective interven¬tions to improve medication adherence in type 2 diabetes: a systematic review. Diabetes Manag 2014; 4(1):29–48.
24. Shetty AS, Chamukuttan S, Nanditha A, Raj RK, Ramachandran A. Reinforcement of adherence to prescription recommendations in Asian Indian diabetes patients using short message service (SMS)--a pilot study. J Assoc Physicians India 2011; 59:711-714.
25. Zolfaghari M, Mousavifar SA, Pedram S, Haghani H. The impact of nurse short message services and telephone follow-ups on diabetic adherence: which one is more effective? J Clin Nurs 2012;21(13-14):1922-1931.
26. Carrasco MP, Salvador CH, Sagredo PG, Márquez-Montes J, González de Mingo MA, Fragua JA, et al. Impact of patient-general practitioner short-messages-based interaction on the control of hypertension in a follow-up service for low-to-medium risk hypertensive patients: a randomized controlled trial. IEEE Trans Inf Technol Biomed 2008 ;12(6):780-791.
27. Park LG, Howie-Esquivel J, Whooley MA, Dracup K. Psychosocial factors and medication adherence among patients with coronary heart disease: A text messaging intervention. Eur J Cardiovasc Nurs 2014 May 21:-.
28. Park LG, Howie-Esquivel J, Chung ML, Dracup K. A text messaging intervention to promote medication adherence for patients with coronary heart disease: a randomized controlled trial. Patient Educ Couns 2014 Feb;94(2):261-268.
29. Nguyen HQ, Gill DP, Wolpin S, Steele BG, Benditt JO. Pilot study of a cell phone-based exercise persistence intervention post-rehabilitation for COPD. Int J Chron Obstruct Pulmon Dis 2009;4:301-313
30. Quinn CC, Shardell MD, Terrin ML, Barr EA, Ballew SH, Gruber-Baldini AL. Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control. Diabetes Care 2011 ;34(9):1934-1942.
31. Harno K, Kauppinen-Mäkelin R, Syrjäläinen J. Managing diabetes care using an integrated regional e-health approach. J Telemed Telecare 2006;12 Suppl 1:13.
32. Kim HS, Jeong HS. A nurse short message service by cellular phone in type-2 diabetic patients for six months. J Clin Nurs 2007 Jun; 16(6):1082-1087.
33. Kiselev AR, Gridnev VI, Shvartz VA, Posnenkova OM, Dovgalevsky PY. Active ambulatory care management supported by short message services and mobile phone technology in patients with arterial hypertension. J Am Soc Hypertens 2012; 6(5):346-355.
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