Use of electronic patient data overview with alerts in primary care increases prescribing of lipid-lowering medications in patients with type 2 diabetes

Autor: Janus Laust Thomsen, Line Planck Kongstad, Morten Charles, Ryan Wyeth Pulleyblank, Bo Christensen, Kim Rose Olsen
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Male
medicine.medical_specialty
Diabetes Mellitus
Type 2/drug therapy

Drug Prescriptions/statistics & numerical data
Short Communication
Endocrinology
Diabetes and Metabolism

media_common.quotation_subject
Population
Type 2 diabetes
Placebo
Logistic regression
Drug Prescriptions
Hypolipidemic Agents/administration & dosage
Health Services Accessibility
General Practitioners/statistics & numerical data
Primary Health Care/methods
General Practitioners
Internal medicine
Disease management
Internal Medicine
medicine
Electronic Health Records
Humans
Electronic health records
Practice Patterns
Physicians'/statistics & numerical data

Practice Patterns
Physicians'

Disease management (health)
Medical prescription
education
Hypolipidemic Agents
media_common
Aged
Selection bias
education.field_of_study
Primary Health Care
Alerts
business.industry
Middle Aged
medicine.disease
Diabetes Mellitus
Type 2

Observational study
Female
business
General practice
Zdroj: Charles, M H, Thomsen, J L, Christensen, B, Pulleyblank, R, Kongstad, L P & Olsen, K R 2022, ' Use of electronic patient data overview with alerts in primary care increases prescribing of lipid-lowering medications in patients with type 2 diabetes ', Diabetologia, vol. 65, pp. 286-290 . https://doi.org/10.1007/s00125-021-05598-x
Charles, M H, Thomsen, J L, Christensen, B, Pulleyblank, R, Kongstad, L P & Olsen, K R 2022, ' Use of electronic patient data overview with alerts in primary care increases prescribing of lipid-lowering medications in patients with type 2 diabetes ', Diabetologia, vol. 65, no. 2, pp. 286-290 . https://doi.org/10.1007/s00125-021-05598-x
Diabetologia
DOI: 10.1007/s00125-021-05598-x
Popis: Aims/hypothesis We aimed to assess whether general practices (GPs) using an electronic disease management program (DMP) with population overviews, including alerts when patients failed to receive guideline-recommended prescription medications, increased prescriptions of lipid-lowering drugs for patients with type 2 diabetes with no history of lipid-lowering treatment. Methods This observational study included 165 GPs that reached a high level of use of the DMP in 2012 and a control group of 135 GPs who reached a high level of use in 2013 and, hence, who were less exposed to the DMP throughout 2012. A binary measure for having been prescribed and filled lipid-lowering drugs at any time within a 12-month exposure period was derived for all patients with type 2 diabetes who did not receive a prescription for lipid-lowering drugs in the baseline year prior to the study period (i.e. 2011). Results were derived using ORs from multivariate logistic regression analyses. Subgroup stratification based on age, sex, diabetes duration, deprivation status and Charlson Comorbidity Index (CCI) score was conducted and assessed. Placebo tests were carried out to assess bias from selection to treatment. Results Patients who did not receive a prescription of lipid-lowering drugs in the year prior to being listed with GPs that used the DMP had statistically significant greater odds of receiving a prescription of lipid-lowering medications when compared with individuals who attended control GPs (OR 1.23 [95% CI 1.09, 1.38]). When the analysis period was shifted back by 2 years, no significant differences in lipid-lowering drug prescription between the two groups were found to occur, which indicates that these results were not driven by selection bias. Subgroup analyses showed that the increase in lipid-lowering drug prescriptions was primarily driven by changes among male participants (OR 1.32 [95% CI 1.12, 1.54]), patients aged 60–70 years (OR 1.40 [95% CI 1.13, 1.74]), patients with a diabetes duration of ≤5 years (OR 1.33 [95% CI 1.13, 1.56]), non-deprived patients (OR 1.25 [95% CI 1.08, 1.45]) and patients without comorbidities (CCI score = 0; OR 1.27 [95% CI 1.11, 1.45]). Conclusions/interpretation Access to population overviews using a DMP with alerts of clinical performance measures with regard to adhering to guideline-recommended prescription of medications can increase GP prescriptions of lipid-lowering drugs. Graphical abstract
Databáze: OpenAIRE