Association Between Team-Based Continuity of Care and Risk of Cardiovascular Diseases Among Patients With Diabetes: A Retrospective Cohort Study

被引:5
作者
Chan, Kam Suen [1 ]
Wan, Eric Yuk Fai [1 ,2 ,3 ]
Chin, Weng Yee [1 ]
Yu, Esther Yee Tak [1 ]
Mak, Ivy Lynn [1 ]
Cheng, Will Ho Gi [1 ]
Ho, Margaret Kay [1 ]
Lam, Cindy Lo Kuen [1 ]
机构
[1] Univ Hong Kong, Dept Family Med & Primary Care, Hong Kong, Peoples R China
[2] Univ Hong Kong, Dept Pharmacol & Pharm, Hong Kong, Peoples R China
[3] Lab Data Discovery Hlth D24H, Hong Kong, Peoples R China
关键词
HEALTH;
D O I
10.2337/dc21-1217
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE Cardiovascular diseases (CVD) are a long-term sequela of diabetes. Better individual-based continuity of care has been reported to reduce the risk of chronic complications among patients with diabetes. Maintaining a one-to-one patient-physician relationship is often challenging, especially in public health care settings. This study aimed to evaluate the relationship between higher team-based continuity of care, defined as consultations provided by the same physician team, and CVD risks in patients with diabetes from public primary care clinics. DESIGN AND METHODS This was a retrospective cohort study in Hong Kong of 312,068 patients with type 2 diabetes and without any history of CVD at baseline (defined as the earliest attendance at a doctor's consultation in a public-sector clinic between 2008 and 2018). Team-based continuity of care was measured using the usual provider continuity index (UPC!), calculated by the proportion of consultations provided by the most visited physician team in the 2 years before baseline. Patients were divided into quartiles based on their UPCI, and the characteristics of the quartiles were balanced using propensity score fine stratification weights. Multivariable Cox regression was applied to assess the effect of team-based continuity of care on CVD incidence. Patient demographics, smoking status, physiological measurements, number of attendances, comorbidities, and medications were adjusted for in the propensity weightings and regression analyses. RESULTS After an average follow-up of 6.5 years, the total number of new CVD events was 52,428. Compared with patients in the 1st quartile, patients in the 2nd, 3rd, and 4th quartiles of the UCPI had a CVD hazard ratio (95% CI) of 0.95 (0.92-0.97), 0.92 (0.89-0.94), and 0.87 (0.84-0.89), respectively, indicating that higher continuity of care was associated with lower CVD risks. The subtypes of CVD, including coronary heart disease and stroke, also showed a similar pattern. Subgroup analyses suggested that patients <65 years of age had greater benefits from higher team-based continuity of care. CONCLUSIONS Team-based continuity of care was associated with lower CVD risk among individuals with type 2 diabetes, especially those who were younger. This suggests a potential flexible alternative implementation of continuity of care in public clinics.
引用
收藏
页码:1162 / 1169
页数:8
相关论文
共 33 条
[1]   Global Guideline for Type 2 Diabetes [J].
不详 .
DIABETES RESEARCH AND CLINICAL PRACTICE, 2014, 104 (01) :1-52
[2]  
[Anonymous], 2013, DEF OLD ELD PERS
[3]   Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples [J].
Austin, Peter C. .
STATISTICS IN MEDICINE, 2009, 28 (25) :3083-3107
[4]   MULTIPLE SIGNIFICANCE TESTS - THE BONFERRONI METHOD .10. [J].
BLAND, JM ;
ALTMAN, DG .
BRITISH MEDICAL JOURNAL, 1995, 310 (6973) :170-170
[5]   MULTIPLE IMPUTATION FOR NONRESPONSE IN SURVEYS - RUBIN,DB [J].
CAMPION, WM .
JOURNAL OF MARKETING RESEARCH, 1989, 26 (04) :485-486
[6]   The Lancet Commission on diabetes: using data to transform diabetes care and patient lives [J].
Chan, Juliana C. N. ;
Lim, Lee-Ling ;
Wareham, Nicholas J. ;
Shaw, Jonathan E. ;
Orchard, Trevor J. ;
Zhang, Ping ;
Lau, Eric S. H. ;
Eliasson, Bjorn ;
Kong, Alice P. S. ;
Ezzati, Majid ;
Aguilar-Salinas, Carlos A. ;
McGill, Margaret ;
Levitt, Naomi S. ;
Ning, Guang ;
So, Wing-Yee ;
Adams, Jean ;
Bracco, Paula ;
Forouhi, Nita G. ;
Gregory, Gabriel A. ;
Guo, Jingchuan ;
Hua, Xinyang ;
Klatman, Emma L. ;
Magliano, Dianna J. ;
Ng, Boon-Peng ;
Ogilvie, David ;
Panter, Jenna ;
Pavkov, Meda ;
Shao, Hui ;
Unwin, Nigel ;
White, Martin ;
Wou, Constance ;
Ma, Ronald C. W. ;
Schmidt, Maria I. ;
Ramachandran, Ambady ;
Seino, Yutaka ;
Bennett, Peter H. ;
Oldenburg, Brian ;
Gagliardino, Juan Jose ;
Luk, Andrea O. Y. ;
Clarke, Philip M. ;
Ogle, Graham D. ;
Davies, Melanie J. ;
Holman, Rury R. ;
Gregg, Edward W. .
LANCET, 2020, 396 (10267) :2019-2082
[7]   IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045 [J].
Cho, N. H. ;
Shaw, J. E. ;
Karuranga, S. ;
Huang, Y. ;
Fernandes, J. D. da Rocha ;
Ohlrogge, A. W. ;
Malanda, B. .
DIABETES RESEARCH AND CLINICAL PRACTICE, 2018, 138 :271-281
[8]   The effect of physician continuity on diabetic outcomes in a resident continuity clinic [J].
Dearinger, Angela T. ;
Wilson, John F. ;
Griffith, Charles H. ;
Scutchfield, F. Douglas .
JOURNAL OF GENERAL INTERNAL MEDICINE, 2008, 23 (07) :937-941
[9]   Propensity score-matching methods for nonexperimental causal studies [J].
Dehejia, RH ;
Wahba, S .
REVIEW OF ECONOMICS AND STATISTICS, 2002, 84 (01) :151-161
[10]   Alternative approaches for confounding adjustment in observational studies using weighting based on the propensity score: a primer for practitioners [J].
Desai, Rishi J. ;
Franklin, Jessica M. .
BMJ-BRITISH MEDICAL JOURNAL, 2019, 367