Evidence map›Paper›PMID 31057695›Full record

ArticleAmerican health & drug benefits2019

Can Academic Detailing Move the Needle for Patients with Diabetes in a State-Based Prescription Drug Benefit Program?

Dominick P Trombetta, Debra A Heller

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
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

2 authors at 2 institutions in 1 country.

Dominick P TrombettaAssociate Professor, Pharmacy Practice, Wilkes University, School of Pharmacy, Wilkes-Barre, PA.
Debra A HellerSenior Health Outcomes Scientist, Magellan Rx Management/PACE, Harrisburg, PA.
Magellan Health · USWilkes University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

academic detailingdiabetes guidelineseducational outreachmedication prescribing patternsPACE programprescription drug benefit programquality metricstype 2 diabetes

Identifiers

PMID31057695
PMCPMC6485651
OpenAlexW2946800605

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.