Evidence map›Paper›PMID 27137847›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2017

Out-of-pocket expenditures for pharmaceuticals: lessons from the Austrian household budget survey.

Alice Sanwald, Engelbert Theurl

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. The causal effect of catastrophic health expenditure on poverty in Poland.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Equity in Out-of-Pocket Payments for Healthcare Services: Evidence from Malaysia.International journal of environmental research and public health · 2022
    Article
  7. Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Alice SanwaldDepartment of Economics and Statistics, University of Innsbruck, Universitätsstrasse 15, 6020, Innsbruck, Austria. Alice.Sanwald@web.de.
Engelbert TheurlDepartment of Economics and Statistics, University of Innsbruck, Universitätsstrasse 15, 6020, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPaying pharmaceuticals out of pocket is an important source of financing pharmaceutical consumption. Only limited empirical knowledge is available on the determinants of these expenditures.

objectivesIn this article we analyze which characteristics of private households influence out-of-pocket pharmaceutical expenditure (OOPPE) in Austria. DESIGN AND

methodsWe use cross-sectional information on OOPPE and household characteristics provided by the Austrian household budget survey 2009/10. We split pharmaceutical expenditures into the two components prescription fees and over-the-counter (OTC) expenditures. To adjust for the specific characteristics of the data, we compare different econometric approaches: a two-part model, hurdle model, generalized linear model and zero-inflated negative binomial regression model.

findingsThe finally selected econometric approaches give a quite consistent picture. The probability of expenditures of both types is strongly influenced by the household structure. It increases with age, doctoral visits and the presence of a female householder. The education level and income only increase the probability of OTC pharmaceuticals. The level of OTC expenditures remains widely unexplained while the household structure and age influence the expenditures for prescription fees. Insurance characteristics of private households, either private or public, play a minor role in explaining the expenditure levels in all specifications. This refers to a homogeneous and comprehensive provision of pharmaceuticals in the public part of the Austrian health care system.

conclusionsThe article gives useful insights into the determinants of pharmaceutical expenditures of private households and supplements the previous research that focuses on the individual level.

Indexed as

Health ExpendituresAdultAgedAged, 80 and overAge DistributionAustriaCross-Sectional StudiesFemaleFinancing, PersonalHumansInsurance, HealthMaleMiddle AgedModels, EconometricNonprescription DrugsPrescription DrugsNonprescription DrugsPrescription DrugsConsumer surveyGeneralized linear modelHurdle modelOut-of-pocket pharmaceutical expendituresTwo-part modelZero-inflated negative binomial model

Identifiers

PMID27137847
PMCPMC5387003

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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.