Evidence map›Paper›PMID 28737993›Full record

ArticleJournal of managed care & specialty pharmacy2017

The Effect of Formulary Restrictions on Patient and Payer Outcomes: A Systematic Literature Review.

Yujin Park, Syed Raza, Aneesh George, Rumjhum Agrawal, John Ko

Abstract 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 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  12. A Formulary Management Group Consensus.Global journal on quality and safety in healthcare · 2024
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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

5 authors.

Yujin Park1 Novartis Pharmaceuticals, East Hanover, New Jersey.
Syed Raza2 Novartis Healthcare, Hyderabad, India.
Aneesh George2 Novartis Healthcare, Hyderabad, India.
Rumjhum Agrawal2 Novartis Healthcare, Hyderabad, India.
John Ko1 Novartis Pharmaceuticals, East Hanover, New Jersey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFormulary restrictions are implemented to reduce pharmacy costs and ensure appropriate use of pharmaceutical products. As adoption of formulary restrictions increases with rising pharmacy costs, there is a need to better understand the potential effect of formulary restrictions on patient and payer outcomes.

objectiveTo conduct a systematic literature review that assesses the effect of formulary restrictions on the following outcomes: medication adherence, clinical outcomes, treatment satisfaction, drug utilization, health care resource utilization, and economic outcomes.

methodsStudies published in 2005 or later were identified from the MEDLINE, Embase, and Cochrane databases and the National Health Service Economic Evaluation Database, using 2 sets of search terms. A total of 17 formulary restriction terms (e.g., step therapy [ST] and prior authorization [PA]) and 55 outcome terms were included, resulting in 935 unique search term combinations. Two reviewers independently conducted analyses of the titles, abstracts, and full-text articles. The search was limited to English-language articles that evaluated the effect of ST and/or PA placed by U.S. third-party payers on the following outcomes: patient outcomes (medication adherence, clinical outcomes, and treatment satisfaction) and payer outcomes (drug utilization, health care resource utilization, and economic outcomes).

resultsOf 2,321 reviewed articles, 59 articles met the study inclusion criteria. The included studies assessed the effect of ST (n = 18), PA (n = 35), or both (n = 6) on medication adherence (n = 14), clinical outcomes (n = 12), treatment satisfaction (n = 2), drug utilization (n = 39), health care resource utilization (n = 18), and economic outcomes (n = 42). The 59 articles measured 164 outcomes across the patient, health care resource utilization, and economic outcome categories of interest. Of the total number of outcomes, 50.6% (n = 83) were negative in direction or were unfavorable, whereas 40.2% (n = 66) were positive in direction or were favorable, when the perspectives of patients and payers were considered. Of the total number of drug utilization outcomes reported (n = 46), the majority showed lower drug utilization (> 90%). However, in some of the articles, pharmacy cost savings resulting from lower drug utilization appeared to be offset by increased medical costs.

conclusionsFormulary coverage decisions may have unintended consequences on patient and payer outcomes despite lower drug utilization and pharmacy cost savings; therefore, careful evaluation of restrictions before policy implementation and continued reevaluation after implementation is warranted. DISCLOSURES: This study was funded by Novartis Pharmaceuticals. Park and Ko are employed by Novartis Pharmaceuticals in East Hanover, New Jersey, and Ko holds stock in Novartis. Raza, George, and Agrawal are employed by Novartis Healthcare in Hyderabad, India. Study concept and design were contributed primarily by Park and Ko, along with the other authors. Raza, George, and Agrawal collected the data, along with Park and Ko. Data interpretation was performed by Agrawal, Raza, George, Park, and Ko. The manuscript was written and revised by Raza, George, and Park, along with Ko and Agrawal. Results from this systematic literature review were presented at the AMCP Annual Meeting 2016; San Francisco, California; April 19-22, 2016.

Indexed as

CaliforniaCost-Benefit AnalysisDrug UtilizationHumansInsurance, Health, ReimbursementMedication AdherencePatient Acceptance of Health CarePatient SatisfactionPharmaceutical PreparationsPharmaceutical ServicesPharmacyTreatment OutcomePharmaceutical Preparations

Identifiers

PMID28737993
PMCPMC10398101

What OpenQuestion holds

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Registered trials

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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.