Evidence map›Paper›PMID 42043925›Full record

ArticleJournal of managed care & specialty pharmacy2026

Development of a decision aid to help dually enrolled veterans make informed choices on medication sourcing.

Anna Hung, Jadyn Cleary, Ellen B Lawrence, Kaitlyn Goodwin, Theodore S Berkowitz, Valerie A Smith, Carolyn T Thorpe, Shelby D Reed, Matthew L Maciejewski, Matthew J Crowley and 9 more

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Anna HungCenter of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Medical Center, NC.
Jadyn ClearyDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC.
Ellen B LawrenceCenter of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Medical Center, NC.
Kaitlyn GoodwinCenter of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Medical Center, NC.
Theodore S BerkowitzCenter of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Medical Center, NC.
Valerie A SmithDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC.
Carolyn T ThorpeCenter for Healthcare Evaluation Research and Promotion (CHERP), VA Pittsburgh Healthcare System, PA.
Shelby D ReedDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC.
Matthew L MaciejewskiCenter of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Medical Center, NC.
Matthew J CrowleyCenter of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Medical Center, NC.
William E BryanDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC.
Richard EricksonVeteran representative (patient), Bloomington, MN.
Kelli TharpeCare partner representative with California State University, Hayward.
Lesley McCathernCommunity Care Program, Durham VA Medical Center, NC.
Leigh McNaughtonCommunity Care Program, Durham VA Medical Center, NC.
Gina UpchurchSenior PharmAssist, Durham, NC.
Francesca CunninghamCenter for Medication Safety, Pharmacy Benefits Management Services, Department of Veterans Affairs, Hines, IL.
Jeffrey T KullgrenCenter for Clinical Management Research, VA Ann Arbor Healthcare System, MI.
Angela FagerlinDepartment of Population Health Sciences, Spencer Fox Eccles School of Medicine at the University of Utah, Salt Lake City.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVeterans enrolled in both Veterans Affairs (VA) health care and Medicare Part D can choose to obtain medications through the VA, Medicare Part D, or both, with each option differing in cost, coverage, and coordination of care. Poorly informed choices can lead to veteran frustration when their expectations are not met, delays in medication access, and increased risks. This study aimed to develop a decision aid (DA) to help veterans with diabetes make informed choices about medication sourcing (ie, whether to fill medications through VA health care only, Part D only, or both).

methodsDA development was guided by the International Patient DA Standards and the Ottawa Decision Support Framework. Interviews with veterans and care partners informed the prototype design. Alpha testing with 18 end users (mostly veterans) and 12 stakeholders (pharmacists, doctors, payers, Medicare counselors, and others) assessed comprehensibility, usability, and acceptability. During beta testing, the feasibility of the revised DA was assessed during interviews with 20 end users and 8 stakeholders. For end-user interviews, a survey assessing decisional conflict, satisfaction, and knowledge was provided before and after respondents filled out the DA.

resultsAlpha testing feedback led to simplifying the cost and formulary comparison chart and expanding the medication list template to include more medications, fill location, and prescriber contact information. Based on beta testing responses (n = 16), the mean system usability scale score for the DA was 77.5 (SD = 14.4), suggesting usability. Beta testers also reported the DA to be acceptable in length (94%), balance (88%), and amount of information (81%). Based on pre- vs post-DA survey responses, decisional conflict was reduced, as indicated by an increase in the mean Sure of myself; Understand information; Risk-benefit ratio; Encouragement (SURE) score (pre-DA: 3.1, SD = 1.4 to all 16 respondents reporting a maximum SURE score of 4.0). Knowledge about VA and Medicare coverage of diabetes medications also improved: the proportion who answered all 5 comprehension questions correctly increased from 57% to 81%. Last, the proportion of respondents who reported being "very satisfied" with how they were currently filling their diabetes medicines (VA only, Part D only, or both) improved from 64% pre-DA to 81% post-DA.

conclusionsThe DA developed iteratively was usable and acceptable and showed potential in reducing decisional conflict, increasing knowledge, and increasing satisfaction, so it may help Part D-enrolled veterans with decisions about medication sourcing.

Indexed as

Choice BehaviorDecision Support TechniquesDiabetes MellitusHypoglycemic AgentsMedicare Part DVeteransAgedDecision MakingFemaleHumansMaleMiddle AgedUnited StatesUnited States Department of Veterans AffairsHypoglycemic Agents

Identifiers

PMID42043925
PMCPMC13119477

What OpenQuestion holds

Textmetadata
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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.