Organization of primary health care for diabetes and hypertension in high, low and middle income countries

References

• Guariguata L, Whiting DR, Hambleton I, et al. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract 2014;103(2):137-49
   PubMed Web of Science ®Google Scholar
• Murray CJ, Vos T, Lozano R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380(9859):2197-223
   PubMed Web of Science ®Google Scholar
• Lim SS, Vos T, Flaxman AD, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380(9859):2224-60
   PubMed Web of Science ®Google Scholar
• International Diabetes Federation. IDF Diabetes Atlas. 6th edition. International Diabetes Federation; Brussels, Belgium: 2013
   Google Scholar
• Ward A, Alvarez P, Vo L, Martin S. Direct medical costs of complications of diabetes in the United States: estimates for event-year and annual state costs (USD 2012). J Med Econ 2014;17(3):176-83
   PubMedGoogle Scholar
• Ramachandran A, Ramachandran S, Snehalatha C, et al. Increasing expenditure on health care incurred by diabetic subjects in a developing country: a study from India. Diabetes Care 2007;30(2):252-6
   Google Scholar
• Kengne AP, June-Rose McHiza Z, Amoah AG, Mbanya JC. Cardiovascular diseases and diabetes as economic and developmental challenges in Africa. Prog Cardiovasc Dis 2013;56(3):302-13
   Google Scholar
• Kankeu HT, Saksena P, Xu K, Evans DB. The financial burden from non-communicable diseases in low- and middle-income countries: a literature review. Health Res Policy Syst 2013;11:31
   PubMed Web of Science ®Google Scholar
• Clarke PM, Glasziou P, Patel A, et al. Event rates, hospital utilization, and costs associated with major complications of diabetes: a multicountry comparative analysis. PLoS Med 2010;7(2):e1000236
   PubMed Web of Science ®Google Scholar
• Turner R, Cull C, Holman R. United Kingdom Prospective Diabetes Study 17: a 9-year update of a randomized, controlled trial on the effect of improved metabolic control on complications in non-insulin-dependent diabetes mellitus. Ann Intern Med 1996;124(1 Pt 2):136-45
   PubMed Web of Science ®Google Scholar
• Peterson KA. Diabetes management in the primary care setting: summary. Am J Med 2002;113(Suppl 6A):36s-40s
   Google Scholar
• Vanselow NA, Donaldson MS, Yordy KD. From the Institute of Medicine. JAMA 1995;273(3):192
   Google Scholar
• Starfield B, Shi L, Macinko J. Contribution of primary care to health systems and health. Milbank Q 2005;83(3):457-502
   PubMed Web of Science ®Google Scholar
• Friedberg MW, Hussey PS, Schneider EC. Primary care: a critical review of the evidence on quality and costs of health care. Health Aff (Millwood) 2010;29(5):766-72
   PubMed Web of Science ®Google Scholar
• World bank country classification 2013. Last updated Feb 2013. Available from: http://data.worldbank.org/news/new-country-classifications [Last accessed 12 May 2014]
   Google Scholar
• Coleman K, Austin BT, Brach C, Wagner EH. Evidence on the Chronic Care Model in the new millennium. Health Aff (Millwood) 2009;28(1):75-85
   PubMed Web of Science ®Google Scholar
• ADA. Standards of medical care in Diabetes 2014. Diabetes Care 2014;37:Supplement 1
   Google Scholar
• Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness. JAMA 2002;288(14):1775-9
   PubMed Web of Science ®Google Scholar
• Stellefson M, Dipnarine K, Stopka C. The chronic care model and diabetes management in US primary care settings: a systematic review. Prev Chronic Dis 2013;10:E26
   PubMed Web of Science ®Google Scholar
• Macinko J, Starfield B, Shi L. The contribution of primary care systems to health outcomes within Organization for Economic Cooperation and Development (OECD) countries, 1970-1998. Health Serv Res 2003;38(3):831-65
   PubMed Web of Science ®Google Scholar
• Starfield B. Measuring the attainment of primary care. J Med Educ 1979;54(5):361-9
   Google Scholar
• Morrison F, Shubina M, Goldberg SI, Turchin A. Performance of primary care physicians and other providers on key process measures in the treatment of diabetes. Diabetes Care 2013;36(5):1147-52
   Google Scholar
• Clarke EL, Richardson JR, Bhartia M, et al. Convergence of HbA1c values towards target in 272 primary care patients following nine years of target-driven care. Qual Prim Care 2013;21(5):287-92
   Google Scholar
• Furthauer J, Flamm M, Sonnichsen A. Patient and physician related factors of adherence to evidence based guidelines in diabetes mellitus type 2, cardiovascular disease and prevention: a cross sectional study. BMC Fam Pract 2013;14:47
   Google Scholar
• Hawthorne G, Hrisos S, Stamp E, et al. Diabetes care provision in UK primary care practices. PLoS One 2012;7(7):e41562
   Google Scholar
• Grigoryan L, Pavlik VN, Hyman DJ. Patterns of nonadherence to antihypertensive therapy in primary care. J Clin Hypertens (Greenwich) 2013;15(2):107-11
   Google Scholar
• Bryson CL, Au DH, Maciejewski ML, et al. Wide clinic-level variation in adherence to oral diabetes medications in the VA. J Gen Intern Med 2013;28(5):698-705
   Google Scholar
• Thom S, Poulter N, Field J, et al. Effects of a fixed-dose combination strategy on adherence and risk factors in patients with or at high risk of CVD: the UMPIRE randomized clinical trial. JAMA 2013;310(9):918-29
   PubMed Web of Science ®Google Scholar
• de Cates AN, Farr MR, Wright N, et al. Fixed-dose combination therapy for the prevention of cardiovascular disease. Cochrane Database Syst Rev 2014;4:Cd009868
   PubMedGoogle Scholar
• Grigg J, Ning Y, Santana C. The impact of certified diabetes educators on diabetes performance and variation among primary care sites within an integrated health system. J Prim Care Community Health 2014;5(2):80-4
   Google Scholar
• Campbell DJ, Sargious P, Lewanczuk R, et al. Use of chronic disease management programs for diabetes: in Alberta’s primary care networks. Can Fam Physician 2013;59(2):e86-92
   Google Scholar
• Ip EJ, Shah BM, Yu J, et al. Enhancing diabetes care by adding a pharmacist to the primary care team. Am J Health Syst Pharm 2013;70(10):877-86
   Google Scholar
• Chen Z, Ernst ME, Ardery G, et al. Physician-pharmacist co-management and 24-hour blood pressure control. J Clin Hypertens (Greenwich) 2013;15(5):337-43
   Google Scholar
• Yu J, Shah BM, Ip EJ, Chan J. A. Markov model of the cost-effectiveness of pharmacist care for diabetes in prevention of cardiovascular diseases: evidence from Kaiser Permanente Northern California. J Manag Care Pharm 2013;19(2):102-14
   PubMed Web of Science ®Google Scholar
• Adair R, Wholey DR, Christianson J, et al. Improving chronic disease care by adding laypersons to the primary care team: a parallel randomized trial. Ann Intern Med 2013;159(3):176-84
   Google Scholar
• Thom DH, Ghorob A, Hessler D, et al. Impact of peer health coaching on glycemic control in low-income patients with diabetes: a randomized controlled trial. Ann Fam Med 2013;11(2):137-44
   PubMed Web of Science ®Google Scholar
• Schmidt B, Wenitong M, Esterman A, et al. Getting better at chronic care in remote communities: study protocol for a pragmatic cluster randomised controlled of community based management. BMC Public Health 2012;12:1017
   PubMedGoogle Scholar
• Cleveringa FG, Gorter KJ, van den Donk M, et al. Computerized decision support systems in primary care for type 2 diabetes patients only improve patients’ outcomes when combined with feedback on performance and case management: a systematic review. Diabetes Technol Ther 2013;15(2):180-92
   PubMed Web of Science ®Google Scholar
• Stewart S, Carrington MJ, Swemmer CH, et al. Effect of intensive structured care on individual blood pressure targets in primary care: multicentre randomised controlled trial. BMJ 2012;345:e7156
   Google Scholar
• Morrow RW, Fletcher J, Kelly KF, et al. Improving diabetes outcomes using a web-based registry and interactive education: a multisite collaborative approach. J Contin Educ Health Prof 2013;33(2):136-44
   Google Scholar
• McKinstry B, Hanley J, Wild S, et al. Telemonitoring based service redesign for the management of uncontrolled hypertension: multicentre randomised controlled trial. BMJ 2013;346:f3030
   PubMed Web of Science ®Google Scholar
• Gray PA, Drayton-Brooks S, Williamson KM. Diabetes: follow-up support for patients with uncontrolled diabetes. Nurse Pract 2013;38(4):49-53
   Google Scholar
• Esden JL, Nichols MR. Patient-centered group diabetes care: a practice innovation. Nurse Pract 2013;38(4):42-8
   Google Scholar
• Eisenstat SA, Ulman K, Siegel AL, Carlson K. Diabetes group visits: integrated medical care and behavioral support to improve diabetes care and outcomes from a primary care perspective. Curr Diab Rep 2013;13(2):177-87
   Google Scholar
• Housden L, Wong ST, Dawes M. Effectiveness of group medical visits for improving diabetes care: a systematic review and meta-analysis. CMAJ 2013;185(13):E635-44
   Web of Science ®Google Scholar
• Branda ME, LeBlanc A, Shah ND, et al. Shared decision making for patients with type 2 diabetes: a randomized trial in primary care. BMC Health Serv Res 2013;13:301
   PubMed Web of Science ®Google Scholar
• Guilcher SJ, Bereket T, Voth J, et al. Spanning boundaries into remote communities: an exploration of experiences with telehealth chronic disease self-management programs in rural northern Ontario, Canada. Telemed J E Health 2013;19(12):904-9
   Google Scholar
• Jaglal SB, Haroun VA, Salbach NM, et al. Increasing access to chronic disease self-management programs in rural and remote communities using telehealth. Telemed J E Health 2013;19(6):467-73
   PubMed Web of Science ®Google Scholar
• McIlhenny CV, Guzic BL, Knee DR, et al. Using technology to deliver healthcare education to rural patients. Rural Remote Health 2011;11(4):1798
   Google Scholar
• Reynolds HW, Sutherland EG. A systematic approach to the planning, implementation, monitoring, and evaluation of integrated health services. BMC Health Serv Res 2013;13:168
   Google Scholar
• Parr J, Lindeboom W, Khanam M, et al. Informal allopathic provider knowledge and practice regarding hypertension in urban and rural Bangladesh. PLoS One 2012;7(10):e48056
   Google Scholar
• Kruk ME, Porignon D, Rockers PC, Van Lerberghe W. The contribution of primary care to health and health systems in low- and middle-income countries: a critical review of major primary care initiatives. Soc Sci Med 2010;70(6):904-11
   PubMed Web of Science ®Google Scholar
• Ali MK, Rabadan-Diehl C, Flanigan J, et al. Systems and capacity to address noncommunicable diseases in low- and middle-income countries. Sci Transl Med 2013;5(181):181cm184
   Google Scholar
• World Bank data. Physicians per 1000 people. Last updated Jan 2014. Available from: http://data.worldbank.org/indicator [Last accessed 4 February 2014]
   Google Scholar
• Wong KW, Ho SY, Chao DV. Quality of diabetes care in public primary care clinics in Hong Kong. Fam Pract 2012;29(2):196-202
   Google Scholar
• Parker A, Nagar B, Thomas G, et al. Health practitioners’ state of knowledge and challenges to effective management of hypertension at primary level. Cardiovasc J Afr 2011;22(4):186-90
   Google Scholar
• Tong SF, Khoo EM, Nordin S, et al. Process of care and prescribing practices for hypertension in public and private primary care clinics in Malaysia. Asia Pac J Public Health 2012;24(5):764-75
   Google Scholar
• Allotey P, Reidpath DD, Yasin S, et al. Rethinking health-care systems: a focus on chronicity. Lancet 2011;377(9764):450-1
   Web of Science ®Google Scholar
• Castellano JM, Sanz G, Fuster V. Evolution of the Polypill Concept and Ongoing Clinical Trials. Can J Cardiol 2014;30(5):520-6
   PubMed Web of Science ®Google Scholar
• Pande S, Hiller JE, Nkansah N, Bero L. The effect of pharmacist-provided non-dispensing services on patient outcomes, health service utilisation and costs in low- and middle-income countries. Cochrane Database Syst Rev 2013;2:Cd010398
   Google Scholar
• Mbeh GN, Edwards R, Ngufor G, et al. Traditional healers and diabetes: results from a pilot project to train traditional healers to provide health education and appropriate health care practices for diabetes patients in Cameroon. Glob Health Promot 2010;17(2 Suppl):17-26
   Google Scholar
• de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, et al. Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database Syst Rev 2012;12:Cd007459
   PubMed Web of Science ®Google Scholar
• Ajay VS, Prabhakaran D. The scope of cell phones in diabetes management in developing country health care settings. J Diabetes Sci Tech 2011;5(3):778-83
   PubMedGoogle Scholar
• Shah S, Singh K, Ali MK, et al. Improving diabetes care: multi-component cardiovascular disease risk reduction strategies for people with diabetes in South Asia--the CARRS multi-center translation trial. Diabetes Res Clin Pract 2012;98(2):285-94
   Google Scholar
• Anchala R, Di Angelantonio E, Prabhakaran D, Franco OH. Development and Validation of a Clinical and Computerised Decision Support System for Management of Hypertension (DSS-HTN) at a Primary Health Care (PHC) Setting. PLoS One 2013;8(11):e79638
   PubMed Web of Science ®Google Scholar
• Griffiths SM, Lee JP. Developing primary care in Hong Kong: evidence into practice and the development of reference frameworks. Hong Kong Med J 2012;18(5):429-34
   Google Scholar
• Zhang X, Xiong Y, Ye J, et al. Analysis of government investment in primary healthcare institutions to promote equity during the three-year health reform program in China. BMC Health Serv Res 2013;13:114
   PubMedGoogle Scholar
• Lagomarsino G, Garabrant A, Adyas A, et al. Moving towards universal health coverage: health insurance reforms in nine developing countries in Africa and Asia. Lancet 2012;380(9845):933-43
   PubMed Web of Science ®Google Scholar
• Robinson HM, Hort K. Non-communicable diseases and health systems reform in low-and-middle-income countries. Pac Health Dialog 2012;18(1):179-90
   Google Scholar
• CCEBDM. Last updated Jan 2014. Available from: http://ccebdm.org/ [Last accessed 4 February 2014]
   Google Scholar