Evidence map›Paper›PMID 24336975›Full record

ArticleInternational journal of public health2014

The impact of cost-sharing schemes on drug compliance in Italy: evidence based on quantile regression.

Vincenzo Atella, Joanna Aleksandra Kopinska

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Article in International journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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4 · The record

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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

2 authors.

Vincenzo AtellaDepartment of Economics and Finance, University of Rome Tor Vergata, CHP PCOR Stanford University, Via Columbia, 2, 00133, Rome, Italy, atella@uniroma2.it.
Joanna Aleksandra Kopinska

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn this article we investigate the causal effect of cost-sharing schemes on compliance with statins in a quantile regression framework.

methodsWe use the health search CSD-LPD data, a longitudinal observational dataset containing computer-based patient records collected by Italian general practitioners. We exploit a series of natural experiments referring to several introductions of co-payment schemes in some of the Italian regions between 2000 and 2009. We adopt an extended difference-in-differences approach to provide quantile estimates of the impact of co-payments on compliance.

resultsWe find that (i) introduction of co-payments hurts residents of regions with worse quality and provision of health care; (ii) within these regions, co-payments were particularly harmful for high compliers; (iii) gender, clinical history and geographic residence are important determinants of compliance among poor compliers; (iv) compliance decreases with the potency and dosage of statins, particularly for poor compliers.

conclusionsIn the presence of inefficient health-care provision, co-payments are harmful for drug compliance, and this is especially true for patients who are originally good compliers.

Indexed as

Cost SharingMedication AdherenceDatabases, FactualFemaleHumansInsurance CoverageInsurance, HealthItalyLongitudinal StudiesMaleRegression Analysis

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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.