This study evaluated the effect of family doctor contract service on the health management in Chinese type 2 diabetes mellitus (T2DM) patients over a 24-month period. According to whether patients signing contracts with family doctors or not, the contracting status was divided into contracted and noncontracted. The analysis of covariance was used to examine changes in weight, body mass index, waist circumference, systolic blood pressure, fasting plasma glucose, and lipid parameters between the two groups. The hazard ratios for incident diabetes-related complications were calculated using a Cox proportional hazard model. Of the 2310 patients, 1155 were contracted. The contracted patients displayed the improved fasting blood glucose control and lower low-density lipoprotein cholesterol level than the noncontracted group. Patients signed up with family doctors had a lower risk of diabetes-related complications than those who did not. The data suggested that family doctor contract service might help to achieve better T2DM control.
DuarteAAMohsinSGolubnitschajaO. Diabetes care in figures: current pitfalls and future scenario. EPMA J. 2018;9(2):125-131. doi:10.1007/s13167-018-0133-y.
2.
GuariguataLWhitingDRHambletonIBeagleyJLinnenkampUShawJE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103(2):137-149. doi:10.1016/j.diabres.2013.11.002.
3.
LiYTengDShiX, et al. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ. 2020;369:m997. doi:10.1136/bmj.m997.
4.
FeiFRHuRYXuCX, et al. [Analysis of correlation of community management index of essential hypertension and type 2 diabetes with probability of premature mortality caused by major non-communicable diseases in Zhejiang Province]. Chung Hua Yu Fang I Hsueh Tsa Chih. 2020;54(5):534-538. doi:10.3760/cma.j.cn112150-20190614-00475. (In Chinese)
5.
SunMRasoolyAJianW. Quality of primary health care in China: an analysis of data from a nationwide longitudinal survey. Lancet. 2018;392:S74. doi:10.1016/S0140-6736(18)32703-X.
YipWCHsiaoWCChenWHuSMaJMaynardA. Early appraisal of China’s huge and complex health-care reforms. Lancet. 2012;379(9818):833-842. doi:10.1016/S0140-6736(11)61880-1.
10.
SmetanaGWLandonBEBindmanAB, et al. A comparison of outcomes resulting from generalist vs specialist care for a single discrete medical condition: a systematic review and methodologic critique. Arch Intern Med. 2007;167(1):10-20. doi:10.1001/archinte.167.1.10.
11.
MendisSJohnstonSCFanWOladapoOCameronAFaramawiMF. Cardiovascular risk management and its impact on hypertension control in primary care in low-resource settings: a cluster-randomized trial. Bull World Health Organ. 2010;88(6):412-419. doi:10.2471/BLT.08.062364.
12.
WoodwardCAAbelsonJTedfordSHutchisonB. What is important to continuity in home care? perspectives of key stakeholders. Soc Sci Med. 2004;58(1):177-192. doi:10.1016/s0277-9536(03)00161-8.
13.
WeinbergerMOddoneEZHendersonWG. Does increased access to primary care reduce hospital readmissions?N Engl J Med. 1996;334(22):1441-1447. doi:10.1056/NEJM199605303342206.
14.
MurphyAWBuryGPlunkettPK, et al. Randomised controlled trial of general practitioner versus usual medical care in an urban accident and emergency department: process, outcome, and comparative cost. BMJ. 1996;312(7039):1135-1142. doi:10.1136/bmj.312.7039.1135.
15.
FlemingMFMundtMPFrenchMTManwellLBStauffacherEABarryKL. Benefit-cost analysis of brief physician advice with problem drinkers in primary care settings. Med Care. 2000;38(1):7-18. doi:10.1097/00005650-200001000-00003.
16.
WuHEgglestonKNZhongJ, et al. Direct medical cost of diabetes in rural China using electronic insurance claims data and diabetes management data. J Diabetes Investig. 2019;10(2):531-538. doi:10.1111/jdi.12897.
17.
WangJBGuMJShenP, et al. Body mass index and mortality: a 10-year prospective study in China. Sci Rep. 2016;6:31609. doi:10.1038/srep31609.
18.
YangYZhouXGaoS, et al. Evaluation of electronic healthcare databases for post-marketing drug safety surveillance and pharmacoepidemiology in China. Drug Saf. 2018;41(1):125-137. doi:10.1007/s40264-017-0589-z.
19.
StuartEA. Matching methods for causal inference: a review and a look forward. Stat Sci. 2010;25(1):1-21. doi:10.1214/09-STS313.
20.
StoneNJRobinsonJGLichtensteinAH, et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association task force on practice guidelines. Circulation. 2014;129(25)(suppl 2):S1-S45. doi:10.1161/01.cir.0000437738.63853.7a.
21.
YiYLiYHouA, et al. A retrospective cohort study of patients with type 2 diabetes in china: associations of hypoglycemia with health care resource utilization and associated costs. Diabetes Ther. 2018;9(3):1073-1082. doi:10.1007/s13300-018-0409-1.
22.
StrattonIMAdlerAINeilHA, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000;321(7258):405-412. doi:10.1136/bmj.321.7258.405.
23.
Action to Control Cardiovascular Risk in Diabetes Study Group; GersteinHCMillerMEByingtonRP, et al. Effects of intensive glucose lowering in type 2 diabetes. N Engl J Med. 2008;358(24):2545-2559. doi:10.1056/NEJMoa0802743.
24.
HuangJZhangTWangL, et al. The effect of family doctor-contracted services on noncommunicable disease self-management in Shanghai, China. Int J Health Plann Manage. 2019;34(3):935-946. doi:10.1002/hpm.2865.
25.
WangHHWongSYWongMC, et al. Patients’ experiences in different models of community health centers in southern China. Ann Fam Med. 2013;11(6):517-526. doi:10.1370/afm.1545.
