Frequency of Follow-Up Attendance and Blood Glucose Monitoring in Type 2 Diabetic Patients at Moderate to High Cardiovascular Risk

A Cross-Sectional Study in Primary Care

Dados Bibliográficos

ID15514971
AutoresYunyi Li (0009-0009-8957-6295, Sun Yat-sen University), Qiya Zhong (Sun Yat-sen University), Sufen Zhu (0009-0003-1298-3905, Sun Yat-sen University), Hui Cheng (0009-0003-9566-9072, Sun Yat-sen University), Wenyong Huang (0000-0003-3167-0851, Sun Yat-sen University), Haoxiang Wang (0000-0002-0361-6527, Sun Yat-sen University, autor correspondente), Yu-ting Li (0000-0002-6716-358X, Sun Yat-sen University, autor correspondente)
Ano2022
Volume19
Fascículo21
Páginas14175-14175
Data de publicação2022-10-30
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph192114175
PMID36361055
OpenAlexW4307947138
IdiomaEN
Referências citadas46

Regular follow-up attendance in primary care and routine blood glucose monitoring are essential in diabetes management, particularly for patients at higher cardiovascular (CV) risk. We sought to examine the regularity of follow-up attendance and blood glucose monitoring in a primary care sample of type 2 diabetic patients at moderate-to-high CV risk, and to explore factors associated with poor engagement. Cross-sectional data were collected from 2130 patients enrolled in a diabetic retinopathy screening programme in Guangdong province, China. Approximately one-third of patients (35.9%) attended clinical follow-up p p p p = 0.009, for blood glucose monitoring) were both less likely to achieve active engagement. Our results revealed an urban-rural divide in patients' engagement in follow-up attendance and blood glucose monitoring, which suggested the need for different educational approaches tailored to the local context to enhance diabetes care

Attendance · Confidence interval · Context (archaeology · Cross-sectional study · Diabetes mellitus · Logistic regression · Odds ratio · Type 2 diabetes · Type 2 Diabetes Mellitus · Diabetes Management and Education · Diabetes Management and Research · Diabetes, Cardiovascular Risks, and Lipoproteins · Medicine · Endocrinology · Internal Medicine