Evidence map›Paper›PMID 23907706›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2014

Equity in specialist waiting times by socioeconomic groups: evidence from Spain.

Ignacio Abásolo, Miguel A Negrín-Hernández, Jaime Pinilla

Abstract read
PubMed Publisher
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Waiting times in healthcare: equal treatment for equal need?International journal for equity in health · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Does socioeconomic status affect lengthy wait time in Canada? Evidence from Canadian Community Health Surveys.The European journal of health economics : HEPAC : health economics in prevention and care · 2018
    Article
  8. Article
  9. Article
  10. Inequalities in waiting times by socioeconomic status.Israel journal of health policy research · 2014
    Article
  11. 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

3 authors.

Ignacio AbásoloDepartamento de Economía de las Instituciones, Estadística Económica y Econometría, Facultad de Ciencias Económicas y Empresariales, Universidad de La Laguna, Campus de Guajara, 38071, La Laguna, Tenerife, Spain, iabasolo@ull.es.
Miguel A Negrín-Hernández
Jaime Pinilla

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In countries with publicly financed health care systems, waiting time--rather than price--is the rationing mechanism for access to health care services. The normative statement underlying such a rationing device is that patients should wait according to need and irrespective of socioeconomic status or other non-need characteristics. The aim of this paper is to test empirically that waiting times for publicly funded specialist care do not depend on patients' socioeconomic status. Waiting times for specialist care can vary according to the type of medical specialty, type of consultation (review or diagnosis) and the region where patients' reside. In order to take into account such variability, we use Bayesian random parameter models to explain waiting times for specialist care in terms of need and non-need variables. We find that individuals with lower education and income levels wait significantly more time than their counterparts.

Indexed as

Waiting ListsAdolescentAdultAgedAge FactorsBayes TheoremFemaleHealth Services AccessibilityHumansMaleMedicineMiddle AgedReferral and ConsultationSex FactorsSocial ClassSpain

Identifiers

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.