Evidence map›Paper›PMID 38750626›Full record

ArticleEuropean journal of public health2024

The use of healthcare services and disabling chronic pain: results from the cross-sectional population-based Andalusian Health Survey.

Rocío Cáceres-Matos, Eugenia Gil-García, Soledad Vázquez-Santiago, Andrés Cabrera-León

Abstract read
In one paragraph

Article in European journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Rocío Cáceres-MatosFaculty of Nursing, Physiotherapy and Podiatry, University of Seville, Seville, Spain.
Eugenia Gil-GarcíaFaculty of Nursing, Physiotherapy and Podiatry, University of Seville, Seville, Spain.
Soledad Vázquez-SantiagoFaculty of Nursing, Physiotherapy and Podiatry, University of Seville, Seville, Spain.
Andrés Cabrera-LeónAndalusian School of Public Health, Cuesta del Observatorio, Granada, Spain.ORCID 0000-0002-4812-1026

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral factors seem to be related to the use of healthcare services, and chronic pain (CP) is among these characteristics. The objective is to describe the number of visits to a doctor's surgery or emergency rooms, and the periods of hospitalization; to identify characteristics associated with frequent healthcare use, including disabling chronic pain (DCP) and non-disabling chronic pain (n-DCP).

methodsRepresentative population-based cross-sectional study of 6569 people older than 16 years from southern Spain was collected. The frequency of visits to a doctor's surgery or emergency rooms and periods of hospitalization were defined as at or above the 90th percentile. Binary logistic regression analyses were conducted separately on women and men to identify characteristics associated with being frequent visitors.

resultsPeople with DCP are more frequent visitors to a doctor's surgery and emergency rooms and endure longer periods of hospitalization compared to people with n-DCP and without pain. In logistic regression models, people with DCP are twice as likely to over-visit a doctor's surgery; to endure longer periods of hospitalization and more visits to an emergency room service. No relationship was found in n-DCP.

conclusionsDisability seems to modulate a greater use of health services among the population with CP, doubling it when compared to n-DCP and n-CP, both in women and men. Understanding the role of disability in the use of healthcare services for individuals with CP allows for the identification of needs and strategies to optimize resources.

Indexed as

Chronic PainPersons with DisabilitiesAdolescentAdultAgedCross-Sectional StudiesEmergency Service, HospitalFemaleHealth ServicesHealth SurveysHospitalizationHumansMaleMiddle AgedSpainYoung Adult

Identifiers

PMID38750626
PMCPMC11293836

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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.