Factors Associated with Nonattendance at Annual Diabetes Check-up in Ningbo, China: a Case-control Study

Overview

Journal Front Public Health

Specialty Public Health

Date 2024 Jan 1

PMID 38162612

Authors

Ling Li

Kaushik Chattopadhyay

Xueyu Li

Jingjia Yu

Miao Xu

Xueqin Chen

Li Li

Jialin Li

Affiliations

Soon will be listed here.

Abstract

Background: Type 2 diabetes mellitus (T2DM) is a grave issue in China. The annual check-up is recommended in clinical guidelines on T2DM. It plays an important role in monitoring and managing the condition and detecting and managing any comorbidities and T2DM-related complications. However, people with T2DM may miss the annual check-up, and the benefits of this check-up are lost. Therefore, this study aimed to determine the factors associated with nonattendance at the annual T2DM check-up in Ningbo, China.

Methods: A case-control study was conducted using the Ningbo National Metabolic Management Center dataset. Cases were people with T2DM who were alive but did not attend the first annual check-up, scheduled between 1 March 2019 and 28 February 2022 ( = 1,549). Controls were people with T2DM who were alive and attended the first annual check-up during the same period ( = 1,354). The characteristics of cases and controls were compared using logistic regressions.

Results: The odds of being a female [odds ratio (OR) 1.26, 95% confidence interval (CI) 1.06-1.50], alcohol drinker (1.26, 1.06-1.49), and with glycated hemoglobin A1c (HbA1c) ≥7% (1.67, 1.42-1.97) were higher among case patients than controls. The odds of being a high school graduate (0.77, 0.66-0.89) and on standard treatments in addition to lifestyle modification (oral hypoglycemic drug 0.63, 0.42-0.96; oral hypoglycemic drug and injection therapy 0.48, 0.32-0.73) were lower among case patients than controls.

Conclusion: The factors associated with nonattendance at the annual T2DM check-up in Ningbo, China were female sex, not a high school graduate, alcohol drinker, HbA1c ≥7%, and only on lifestyle modification. The study findings should be used for improving attendance at the annual check-up among people with T2DM in Ningbo.

References

Yang Z, Wu M, Lu J, Li T, Shen P, Tang M . Effect of COVID-19 on hospital visits in Ningbo, China: an interrupted time-series analysis. Int J Qual Health Care. 2021; 33(2). PMC: 8135444. DOI: 10.1093/intqhc/mzab078. View

He M, Gao J, Liu W, Tang X, Tang S, Long Q . Case management of patients with Type 2 diabetes mellitus: a cross-sectional survey in Chongqing, China. BMC Health Serv Res. 2017; 17(1):129. PMC: 5303217. DOI: 10.1186/s12913-017-2039-0. View

Renard L, Bocquet V, Vidal-Trecan G, Lair M, Blum-Boisgard C . Adherence to international follow-up guidelines in type 2 diabetes: a longitudinal cohort study in Luxembourg. PLoS One. 2013; 8(11):e80162. PMC: 3823868. DOI: 10.1371/journal.pone.0080162. View

Huang Y, Vemer P, Zhu J, Postma M, Chen W . Economic Burden in Chinese Patients with Diabetes Mellitus Using Electronic Insurance Claims Data. PLoS One. 2016; 11(8):e0159297. PMC: 5003380. DOI: 10.1371/journal.pone.0159297. View

Malcolm J, Maranger J, Taljaard M, Shah B, Tailor C, Liddy C . Into the abyss: diabetes process of care indicators and outcomes of defaulters from a Canadian tertiary care multidisciplinary diabetes clinic. BMC Health Serv Res. 2013; 13:303. PMC: 3750860. DOI: 10.1186/1472-6963-13-303. View

Qiao Q, Tuomilehto J, Borch-Johnsen K . Post-challenge hyperglycaemia is associated with premature death and macrovascular complications. Diabetologia. 2003; 46 Suppl 1:M17-21. DOI: 10.1007/s00125-002-0932-4. View

Hong H, Shi H, Jiang H, Gu X, Chen Y, Ding K . [Epidemic dynamic model based evaluation of effectiveness of prevention and control strategies for COVID-19 in Ningbo]. Zhonghua Liu Xing Bing Xue Za Zhi. 2020; 41(10):1606-1610. DOI: 10.3760/cma.j.cn112338-20200311-00313. View

Chen Y, Sloan F, Yashkin A . Adherence to diabetes guidelines for screening, physical activity and medication and onset of complications and death. J Diabetes Complications. 2015; 29(8):1228-33. PMC: 4656150. DOI: 10.1016/j.jdiacomp.2015.07.005. View

Zhang Y, Wang W, Ning G . Metabolic Management Center: An innovation project for the management of metabolic diseases and complications in China. J Diabetes. 2018; 11(1):11-13. DOI: 10.1111/1753-0407.12847. View

10.

Yashkin A, Sloan F . Adherence to Guidelines for Screening and Medication Use: Mortality and Onset of Major Macrovascular Complications in Elderly Persons With Diabetes Mellitus. J Aging Health. 2017; 30(4):503-520. PMC: 6660239. DOI: 10.1177/0898264316684270. View

11.

Oh S, Lee H, Chin H, Hwang J . Adherence to clinical practice guidelines and outcomes in diabetic patients. Int J Qual Health Care. 2011; 23(4):413-9. DOI: 10.1093/intqhc/mzr036. View

12.

Margolis R . Educational differences in healthy behavior changes and adherence among middle-aged Americans. J Health Soc Behav. 2013; 54(3):353-68. PMC: 3998203. DOI: 10.1177/0022146513489312. View

13.

Aminde L, Tindong M, Ngwasiri C, Aminde J, Njim T, Fondong A . Adherence to antidiabetic medication and factors associated with non-adherence among patients with type-2 diabetes mellitus in two regional hospitals in Cameroon. BMC Endocr Disord. 2019; 19(1):35. PMC: 6446302. DOI: 10.1186/s12902-019-0360-9. View

14.

Fan M, Lyu J, He P . [Chinese guidelines for data processing and analysis concerning the International Physical Activity Questionnaire]. Zhonghua Liu Xing Bing Xue Za Zhi. 2014; 35(8):961-4. View

15.

Ji L, Hu D, Pan C, Weng J, Huo Y, Ma C . Primacy of the 3B approach to control risk factors for cardiovascular disease in type 2 diabetes patients. Am J Med. 2013; 126(10):925.e11-22. DOI: 10.1016/j.amjmed.2013.02.035. View

16.

Oikonomidi T, Norman G, McGarrigle L, Stokes J, van der Veer S, Dowding D . Predictive model-based interventions to reduce outpatient no-shows: a rapid systematic review. J Am Med Inform Assoc. 2022; 30(3):559-569. PMC: 9933067. DOI: 10.1093/jamia/ocac242. View

17.

. 4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Medical Care in Diabetes-2022. Diabetes Care. 2021; 45(Suppl 1):S46-S59. PMC: 8935396. DOI: 10.2337/dc22-S004. View

18.

Delevry D, Ho A, Le Q . Association between processes of diabetes care and health care utilization in patients with diabetes: Evidence from a nationally representative US sample. J Diabetes. 2020; 13(1):78-88. DOI: 10.1111/1753-0407.13109. View

19.

Armstrong M, Midanik L, Klatsky A . Alcohol consumption and utilization of health services in a health maintenance organization. Med Care. 1998; 36(11):1599-605. DOI: 10.1097/00005650-199811000-00009. View

20.

Li Y, Teng D, Shi X, Qin G, Qin Y, Quan H . Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ. 2020; 369:m997. PMC: 7186854. DOI: 10.1136/bmj.m997. View