Back to Search Start Over

Patient and practice factors associated with HbA1c testing frequency in patients with type 2 diabetes: a retrospective cohort study in Australian general practice.

Authors :
Imai, Chisato 'Chrissy'
Li, Ling
Hardie, Rae-Anne
Pearce, Christopher
Georgiou, Andrew
Source :
Australian Journal of Primary Health; 2023, Vol. 29 Issue 5, p520-526, 7p
Publication Year :
2023

Abstract

Background: Better adherence to guideline-recommended glycated haemoglobin A1c (HbA1c) testing frequency is associated with better glycaemic control and lower risk of complications such as chronic kidney disease in patients with type 2 diabetes. This study investigates patient and practice factors associated with adherence to guideline-recommended HbA1c testing frequency. Methods: A cohort of type 2 diabetes patients who regularly visited general practices from 2012 to 2018 was identified from 225 Australian general practices. With the goal of ≤53 mmol/mol, Australian guidelines recommend HbA1c testing at least 6-monthly. Patient history of HbA1c tests from 2017 to 2018 was used to define adherence to guidelines, and the associations with patient and practice factors were examined by regression models. Results: Of the 6881 patients, 2186 patients (31.8%) had 6-monthly HbA1c testing. Patient age and anti-diabetic medications were associated with adherence to 6-monthly testing. When financial incentives are available to practices, a larger practice was associated with better adherence to 6-monthly testing. Conclusions: The identified key factors such as age, practice size, medication, and incentive payments can be used to target initiatives aimed at improving guideline-recommended monitoring care for patients with type 2 diabetes to enhance their health outcomes. One of the challenges in type 2 diabetes management is to maintain the consistent and regular monitoring care, which may be impacted by various factors. This study investigated factors associated with adherence to clinical guidelines on HbA1c testing frequency and identified key factors such as age, practice size, medication, and incentive payments. The findings can potentially be translated into the initiation of more efficient strategies and policies to improve diabetes monitoring care, and ultimately patient outcomes for diabetes patients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14487527
Volume :
29
Issue :
5
Database :
Complementary Index
Journal :
Australian Journal of Primary Health
Publication Type :
Academic Journal
Accession number :
173034138
Full Text :
https://doi.org/10.1071/PY22026