TY - JOUR
T1 - Using type 2 diabetes population data in general practice may affect workflow and clinical outcomes
AU - Møller, Trine Kjeldgaard
AU - Johansen, Martin Riis
AU - Bjerre-Christensen, Ulla
AU - Kristensen, Peter Lommer
N1 - Published under Open Access CC-BY-NC-BD 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/.
PY - 2025/5/21
Y1 - 2025/5/21
N2 - INTRODUCTION: Studies have demonstrated that electronic feedback utilising patient data from general practice may effectively promote adherence to treatment guidelines, making it a valuable tool for quality improvement. Therefore, we aimed to explore the effect of data-driven quality improvement in general practice on clinical outcomes for people with type 2 diabetes.METHODS: A total of 15 general practitioners participated in a quality development process with visits from an organisational advisor. Six other control clinics did not participate in the quality process. Diabetes-related data were gathered at baseline and after six and 12 months.RESULTS: The intervention improved adherence to guidelines. We observed between-group effects for the proportion of annual control within 12 months, HbA1c, low-density lipoprotein (LDL) and estimated glomerular filtration rate measurements, the proportion of patients with LDL less-than 2.5 mmol/l and a reduction in patients with ischaemic heart disease and no secondary prevention treatment.CONCLUSIONS: The intervention may represent an easy-to-implement solution to creating workflow routines by comprehensively analysing the patient population at the clinic level. However, selection bias may influence the results.FUNDING: The study was funded by Steno Diabetes Centre Copenhagen.TRIAL REGISTRATION: Regional ethics committee of the capital region (F-22073139).
AB - INTRODUCTION: Studies have demonstrated that electronic feedback utilising patient data from general practice may effectively promote adherence to treatment guidelines, making it a valuable tool for quality improvement. Therefore, we aimed to explore the effect of data-driven quality improvement in general practice on clinical outcomes for people with type 2 diabetes.METHODS: A total of 15 general practitioners participated in a quality development process with visits from an organisational advisor. Six other control clinics did not participate in the quality process. Diabetes-related data were gathered at baseline and after six and 12 months.RESULTS: The intervention improved adherence to guidelines. We observed between-group effects for the proportion of annual control within 12 months, HbA1c, low-density lipoprotein (LDL) and estimated glomerular filtration rate measurements, the proportion of patients with LDL less-than 2.5 mmol/l and a reduction in patients with ischaemic heart disease and no secondary prevention treatment.CONCLUSIONS: The intervention may represent an easy-to-implement solution to creating workflow routines by comprehensively analysing the patient population at the clinic level. However, selection bias may influence the results.FUNDING: The study was funded by Steno Diabetes Centre Copenhagen.TRIAL REGISTRATION: Regional ethics committee of the capital region (F-22073139).
KW - Humans
KW - Diabetes Mellitus, Type 2/therapy
KW - General Practice/standards
KW - Workflow
KW - Female
KW - Male
KW - Quality Improvement
KW - Glycated Hemoglobin/analysis
KW - Guideline Adherence
KW - Middle Aged
KW - Aged
KW - Glomerular Filtration Rate
KW - Denmark
KW - Practice Guidelines as Topic
KW - Lipoproteins, LDL/blood
UR - http://www.scopus.com/inward/record.url?scp=105009119359&partnerID=8YFLogxK
U2 - 10.61409/A11240795
DO - 10.61409/A11240795
M3 - Journal article
C2 - 40557860
SN - 1603-9629
VL - 72
JO - Danish Medical Journal
JF - Danish Medical Journal
IS - 6
M1 - A11240795
ER -