Evidence map›Paper›PMID 39888855›Full record

ArticleJournal of managed care & specialty pharmacy2025

Emerging trends in managed care pharmacy: A mixed-method study.

T Joseph Mattingly, Laura E Happe, Laura Cranston

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Predicting pharmacy choice for managed care network design.Journal of managed care & specialty pharmacy · 2026
    Article
  4. Advancing the conversation: 30 years of scholarship in managed care pharmacy.Journal of managed care & specialty pharmacy · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Emerging trends in managed care pharmacy: A mixed-method study.Journal of managed care & specialty pharmacy · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. 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

3 authors.

T Joseph MattinglyDepartment of Pharmacotherapy, University of Utah College of Pharmacy, Salt Lake City.
Laura E HappeDepartment of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville.
Laura CranstonAcademy of Managed Care Pharmacy Foundation, Alexandria, VA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past 5 years, managed care pharmacy has been shaped by a global pandemic, advancements in generative artificial intelligence (AI), Medicare drug price negotiation policies, and significant therapeutic developments. Collective intelligence methods can be used to anticipate future developments in practice to help organizations plan and develop new strategies around those changes.

objectiveTo identify emerging trends in managed care pharmacy.

methodsIn this sequential mixed-method study, we invited experts to participate in a multidisciplinary advisory panel to develop a survey with 5 overarching domains. The qualitative analysis for our advisory panel meetings used a thematic analysis approach. To analyze the cross-sectional survey results, we used descriptive statistics and exploratory bivariate statistics to test for possible relationships with survey respondent demographics and likelihood predictions. To assess respondent opinions on the overall likelihood of an event occurring in the next 5 years, we combined "Highly likely/Somewhat likely" responses and compared with "Highly unlikely/Somewhat unlikely" responses.

resultsFollowing our advisory panel focus groups, a total of 53 scenarios were developed for inclusion in the quantitative survey under the domains of (1) information technology, (2) therapeutics and diagnostics, (3) payment models, (4) pharmacy operations, and (5) public policy. A total of 1,238 individuals were invited to participate in the survey. Of eligible participants, 201 complete survey responses were received for a final response rate of 16.2%. Survey participants rated increased use of glucagon-like peptide-1 receptor agonists by at least 25%, at least 1 major data breach, more than 10 new orphan drug approvals, and AI use in more than half of prior authorization reviews as the most likely scenarios to occur in the next 5 years. Respondents identified the following broad issues as those most likely to impact their organizations (employers) in the next 5 years: federal and state policy changes impacting managed care, cell and gene therapies, impact of AI on managed care operations, and emerging payment models.

conclusionsThis study provides valuable insights into the emerging trends that are expected to shape managed care pharmacy over the next 5 years. The integration of advanced technologies, such as AI, along with the increasing focus on specialty therapeutics, represents both opportunities and challenges for managed care organizations. However, areas with lower consensus highlight the need for caution in strategic planning.

Indexed as

Managed Care ProgramsPharmaceutical ServicesAdultArtificial IntelligenceCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesUnited States

Identifiers

PMID39888855
PMCPMC11785360

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.