Evidence map›Paper›PMID 25966337›Full record

SynthesisThe Cochrane database of systematic reviews2015

Pharmaceutical policies: effects of cap and co-payment on rational use of medicines.

Vera Lucia Luiza, Luisa A Chaves, Rondineli M Silva, Isabel Cristina M Emmerick, Gabriela C Chaves, Silvia Cristina Fonseca de Araújo, Elaine L Moraes, Andrew D Oxman

Abstract readSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 6 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

49 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pharmaceutical policies: effects of regulating drug insurance schemes.The Cochrane database of systematic reviews · 2022
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  13. Observational
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  15. PERSPECTIVE: A Path to Value-Based Insurance Design for Mental Health Services.The journal of mental health policy and economics · 2024
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  20. The impact of cost-sharing on prescription drug demand: evidence from a double-difference regression kink design.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Vera Lucia LuizaNucleus for Pharmaceutical Policies, Sergio Arouca National School of Public Health, Rua Leopoldo Bulhões, 1480 - Manguinhos, Rio de Janeiro, Brazil, 21041 210.
Luisa A Chaves
Rondineli M Silva
Isabel Cristina M Emmerick
Gabriela C Chaves
Silvia Cristina Fonseca de Araújo
Elaine L Moraes
Andrew D Oxman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrowing expenditures on prescription medicines represent a major challenge to many health systems. Cap and co-payment policies are intended as an incentive to deter unnecessary or marginal utilisation, and to reduce third-party payer expenditures by shifting parts of the financial burden from insurers to patients, thus increasing their financial responsibility for prescription medicines. Direct patient payment policies include caps (maximum numbers of prescriptions or medicines that are reimbursed), fixed co-payments (patients pay a fixed amount per prescription or medicine), co-insurance (patients pay a percentage of the price), ceilings (patients pay the full price or part of the cost up to a ceiling, after which medicines are free or are available at reduced cost) and tier co-payments (differential co-payments usually assigned to generic and brand medicines). This is the first update of the original review.

objectivesTo determine the effects of cap and co-payment (cost-sharing) policies on use of medicines, healthcare utilisation, health outcomes and costs (expenditures). SEARCH

methodsFor this update, we searched the following databases and websites: The Cochrane Central Register of Controlled Trials (CENTRAL) (including the Cochrane Effective Practice and Organisation of Care (EPOC) Group Specialised Register, Cochrane Library; MEDLINE, Ovid; EMBASE, Ovid; IPSA, EBSCO; EconLit, ProQuest; Worldwide Political Science Abstracts, ProQuest; PAIS International, ProQuest; INRUD Bibliography; WHOLIS, WHO; LILACS), VHL; Global Health Library WHO; PubMed, NHL; SCOPUS; SciELO, BIREME; OpenGrey; JOLIS Library Network; OECD Library; World Bank e-Library; World Health Organization, WHO; World Bank Documents & Reports; International Clinical Trials Registry Platform (ICTRP), WHO; ClinicalTrials.gov, NIH. We searched all databases during January and February 2013, apart from SciELO, which we searched in January 2012, and ICTRP and ClinicalTrials.gov, which we searched in March 2014. SELECTION CRITERIA: We defined policies in this review as laws, rules or financial or administrative orders made by governments, non-government organisations or private insurers. We included randomised controlled trials, non-randomised controlled trials, interrupted time series studies, repeated measures studies and controlled before-after studies of cap or co-payment policies for a large jurisdiction or system of care. To be included, a study had to include an objective measure of at least one of the following outcomes: medicine use, healthcare utilisation, health outcomes or costs (expenditures). DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data and assessed study limitations. We reanalysed time series data for studies with sufficient data, if appropriate analyses were not reported. MAIN

resultsWe included 32 full-text articles (17 new) reporting evaluations of 39 different interventions (one study - Newhouse 1993 - comprises five papers). We excluded from this update eight controlled before-after studies included in the previous version of this review, because they included only one site in their intervention or control groups. Five papers evaluated caps, and six evaluated a cap with co-insurance and a ceiling. Six evaluated fixed co-payment, two evaluated tiered fixed co-payment, 10 evaluated a ceiling with fixed co-payment and 10 evaluated a ceiling with co-insurance. Only one evaluation was a randomised trial. The certainty of the evidence was found to be generally low to very low.Increasing the amount of money that people pay for medicines may reduce insurers' medicine expenditures and may reduce patients' medicine use. This may include reductions in the use of life-sustaining medicines as well as medicines that are important in treating chronic conditions and medicines for asymptomatic conditions. These types of interventions may lead to small decreases in or uncertain effects on healthcare utilisation. We found no studies that reliably reported the effects of these types of interventions on health outcomes. AUTHORS'

conclusionsThe diversity of interventions and outcomes addressed across studies and differences in settings, populations and comparisons made it difficult to summarise results across studies. Cap and co-payment polices may reduce the use of medicines and reduce medicine expenditures for health insurers. However, they may also reduce the use of life-sustaining medicines or medicines that are important in treating chronic, including symptomatic, conditions and, consequently, could increase the use of healthcare services. Fixed co-payment with a ceiling and tiered fixed co-payment may be less likely to reduce the use of essential medicines or to increase the use of healthcare services.

Indexed as

Cost SharingDrug CostsFees, PharmaceuticalDrug and Narcotic ControlInsurance, Health, ReimbursementPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID25966337
PMCPMC7386822

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.