Evidence map›Paper›PMID 28944730›Full record

ArticleJournal of managed care & specialty pharmacy2017

Optimization of Medication Use at Accountable Care Organizations.

Chrisanne Wilks, Erik Krisle, Kimberly Westrich, Kristina Lunner, David Muhlestein, Robert Dubois

Open access · bronzeAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
10.6field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Associations Between ACO Enrollment Status and Drug and Nondrug Costs Among Older Adults Newly Diagnosed With ADRD.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Evolution of ACO readiness to optimize medication use: are we there yet?Journal of managed care & specialty pharmacy · 2020
    Article
  9. Determinants of Generic Drug Substitution in the United States.Therapeutic innovation & regulatory science · 2020
    Article
  10. Article
  11. Review
  12. Changing the Way We Pay for Health Care: Is Value the New Plastic?Journal of managed care & specialty pharmacy · 2017
    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

6 authors at 2 institutions in 1 country.

Chrisanne Wilks1 Leavitt Partners, Salt Lake City, Utah.
Erik Krisle1 Leavitt Partners, Salt Lake City, Utah.
Kimberly Westrich2 National Pharmaceutical Council, Washington, DC.
Kristina Lunner1 Leavitt Partners, Salt Lake City, Utah.
David Muhlestein1 Leavitt Partners, Salt Lake City, Utah.
Robert Dubois2 National Pharmaceutical Council, Washington, DC.
Leavitt Partners (United States) · USNational Health Council · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptimized medication use involves the effective use of medications for better outcomes, improved patient experience, and lower costs. Few studies systematically gather data on the actions accountable care organizations (ACOs) have taken to optimize medication use.

objectivesTo (a) assess how ACOs optimize medication use; (b) establish an association between efforts to optimize medication use and achievement on financial and quality metrics; (c) identify organizational factors that correlate with optimized medication use; and (d) identify barriers to optimized medication use.

methodsThis cross-sectional study consisted of a survey and interviews that gathered information on the perceptions of ACO leadership. The survey contained a medication practices inventory (MPI) composed of 38 capabilities across 6 functional domains related to optimizing medication use. ACOs completed self-assessments that included rating each component of the MPI on a scale of 1 to 10. Fisher's exact tests, 2-proportions tests, t-tests, and logistic regression were used to test for associations between ACO scores on the MPI and performance on financial and quality metrics, and on ACO descriptive characteristics.

resultsOf the 847 ACOs that were contacted, 49 provided usable survey data. These ACOs rated their own system's ability to manage the quality and costs of optimizing medication use, providing a 64% and 31% affirmative response, respectively. Three ACOs achieved an overall MPI score of 8 or higher, 45 scored between 4 and 7.9, and 1 scored between 0 and 3.9. Using the 3 score groups, the study did not identify a relationship between MPI scores and achievement on financial or quality benchmarks, ACO provider type, member volume, date of ACO creation, or the presence of a pharmacist in a leadership position. Barriers to optimizing medication use relate to reimbursement for pharmacist integration, lack of health information technology interoperability, lack of data, feasibility issues, and physician buy-in.

conclusionsCompared with 2012 data, data on ACOs that participated in this study show that they continue to build effective strategies to optimize medication use. These ACOs struggle with both notification related to prescription use and measurement of the influence optimized medication use has on costs and quality outcomes. Compared with the earlier study, these data find that more ACOs are involving pharmacists directly in care, expanding the use of generics, electronically transmitting prescriptions, identifying gaps in care and potential adverse events, and educating patients on therapeutic alternatives. ACO-level policies that facilitate practices to optimize medication use are needed. Integrating pharmacists into care, giving both pharmacists and physicians access to clinical data, obtaining physician buy-in, and measuring the impact of practices to optimize medication use may improve these practices. DISCLOSURES: This research was sponsored and funded by the National Pharmaceutical Council (NPC), an industry funded health policy research group that is not involved in lobbying or advocacy. Employees of the sponsor contributed to the research questions, determination of the relevance of the research questions, and the research design. Specifically, there was involvement in the survey and interview instruments. They also contributed to some data interpretation and revision of the manuscript. Leavitt Partners was hired by NPC to conduct research for this study and also serves a number of health care clients, including life sciences companies, provider organizations, accountable care organizations, and payers. Westrich and Dubois are employed by the NPC. Wilks, Krisle, Lunner, and Muhlestein are employed by Leavitt Partners and did not receive separate compensation. Study concept and design were contributed by Krisle, Dubois, and Muhlestein, along with Lunner and Westrich. Krisle and Muhlestein collected the data, and data interpretation was performed by Wilks, Krisle, and Muhlestein, along with Dubois and Westrich. The manuscript was written primarily by Wilks, along with Krisle and Muhlestein, and revised by Wilks, Westrich, Lunner, and Krisle. Preliminary versions of this work were presented at the following: National Council for Prescription Drug Programs Educational Summit, November 1, 2016; Academy Health 2016 Annual Research Meeting, June 27, 2016; Accountable Care Learning Collaborative Webinar, June 16, 2016; the 21st Annual PBMI Drug Benefit Conference, February 29, 2016; National Value-Based Payment and Pay for Performance Summit, February 17, 2016; National Accountable Care Congress, November 17, 2015; and American Journal of Managed Care's ACO Emerging Healthcare Delivery Coalition, Fall 2015 Live Meeting, October 15, 2015.

Indexed as

Accountable Care OrganizationsCosts and Cost AnalysisCross-Sectional StudiesDisease ManagementHealth ExpendituresHumansLeadershipMedicarePharmaceutical PreparationsPharmacistsPhysiciansReimbursement, IncentiveUnited StatesPharmaceutical Preparations

Identifiers

PMID28944730
PMCPMC10397795
OpenAlexW2619263746

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.