Evidence map›Paper›PMID 34709425›Full record

ArticleDiabetologia2022

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

Morten H Charles, Janus L Thomsen, Bo Christensen, Ryan Pulleyblank, Line P Kongstad, Kim Rose Olsen

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Morten H CharlesDepartment of Public Health, Research Unit for General Practice, Aarhus University, Aarhus, Denmark.
Janus L ThomsenCenter for General Practice at Aalborg University, Aalborg, Denmark.
Bo ChristensenDepartment of Public Health, Research Unit for General Practice, Aarhus University, Aarhus, Denmark.
Ryan PulleyblankDanish Centre for Health Economics, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Line P KongstadDanish Centre for Health Economics, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Kim Rose OlsenDanish Centre for Health Economics, Department of Public Health, University of Southern Denmark, Odense, Denmark. krolsen@sdu.dk.ORCID 0000-0002-0473-4736
University of Southern Denmark · DKAalborg University · DKAarhus University · DKSteno Diabetes Centers · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisWe 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.

methodsThis 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.

resultsPatients 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/

interpretationAccess 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.

Indexed as

Electronic Health RecordsAgedDiabetes Mellitus, Type 2Drug PrescriptionsFemaleGeneral PractitionersHealth Services AccessibilityHumansHypolipidemic AgentsMaleMiddle AgedPractice Patterns, Physicians'Primary Health CareHypolipidemic AgentsAlertsDisease managementElectronic health recordsGeneral practice

Identifiers

PMID34709425
PMCPMC8741655
OpenAlexW3208420225

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.