ArticleAmerican health & drug benefits2019
Can Academic Detailing Move the Needle for Patients with Diabetes in a State-Based Prescription Drug Benefit Program?
Article in American health & drug benefits, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Academic Detailing Interventions and Evidence-Based Prescribing: A Systematic Review.JAMA network open · 2025Pooled it
- Academic detailing as a method to improve general practitioners' drug prescribing in type 2 diabetes: evaluation of changes in prescribing.Scandinavian journal of primary health care · 2023Article
- Academic Detailing in the New Era of Diabetes Medication Management.Current diabetes reports · 2019Review
- Academic Detailing is a Preferred Knowledge Update Tool Among Norwegian Pharmacists to Improve Antibiotic Counseling: Results From a Quantitative Study Employing the Provider Satisfaction With Academic Detailing (PSAD) and the Detailer Assessment of Visit Effectiveness (DAVE) Tools.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPublicly funded prescription drug programs, such as state pharmacy assistance programs, provide critical benefits for the care of individuals, but they are frequently limited in their resources to optimize patient outcomes. The application of quality metrics to prescription drug claims may help to determine whether prescribers' adherence to national standards can be augmented through academic detailing.
objectiveTo evaluate changes in diabetes drug prescribing patterns after an academic detailing educational intervention in 2013 and 2014 for prescribers in the Pennsylvania Pharmaceutical Assistance Contract for the Elderly (PACE) program.
methodsWe used a retrospective, quasiexperimental study design that applied interrupted time series and segmented regression analysis, and examined PACE pharmacy claims data for 1 year before and 1 year after the academic detailing intervention. Four diabetes prescribing metrics were evaluated at monthly intervals for a sample of 574 prescribers who received academic detailing and for a propensity score-matched comparison sample of 574 prescribers who did not receive the intervention.
resultsThe prescribers who received academic detailing did not differ significantly after the intervention from the providers who did not receive the intervention in their prescribing trends for the 4 diabetes metrics. The observed time series patterns suggest that diabetes-related ceiling effects were likely, with relatively small room for improvement at the group level during the study period.
conclusionThe results of this study did not demonstrate group differences in prescribing trends that were attributable to the intervention. However, many prescribers in the detailed group had been exposed to similar educational outreach by PACE before 2013, which limits the interpretation of this finding. In addition, the diabetes quality metrics had been the standard of care during the preceding decade, with a broad dissemination of the treatment guidelines to the provider community. These results are consistent with a ceiling effect in the measured metrics, suggesting that most prescribers in both groups were largely following core diabetes guidelines before and after the intervention.
Indexed as
Identifiers
31057695PMC6485651W2946800605What OpenQuestion holds
Registered trials
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.