Evidence map›Paper›PMID 26537822›Full record

ArticleBMC health services research2015

Self-rated health and hospital services use in the Spanish National Health System: a longitudinal study.

Nayara Tamayo-Fonseca, Andreu Nolasco, Jose A Quesada, Pamela Pereyra-Zamora, Inmaculada Melchor, Joaquin Moncho, Julia Calabuig, Carmen Barona

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

20 citing papers in PubMed, 40 citations in OpenAlex.

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  19. Economic Crisis and Amenable Mortality in Spain.International journal of environmental research and public health · 2018
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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

8 authors at 2 institutions in 1 country.

Nayara Tamayo-FonsecaDepartment of Community Nursing, Research Unit for the Analysis of Mortality and Health Statistics, Preventive Medicine, Public Health and History of Science. University of Alicante. Campus de San Vicente del Raspeig s/n, Apartado 99, 03080, Alicante, Spain. nayara.tamayo@ua.es.
Andreu NolascoDepartment of Community Nursing, Research Unit for the Analysis of Mortality and Health Statistics, Preventive Medicine, Public Health and History of Science. University of Alicante. Campus de San Vicente del Raspeig s/n, Apartado 99, 03080, Alicante, Spain. nolasco@ua.es.
Jose A QuesadaDepartment of Community Nursing, Research Unit for the Analysis of Mortality and Health Statistics, Preventive Medicine, Public Health and History of Science. University of Alicante. Campus de San Vicente del Raspeig s/n, Apartado 99, 03080, Alicante, Spain. ja.quesada@ua.es.
Pamela Pereyra-ZamoraDepartment of Community Nursing, Research Unit for the Analysis of Mortality and Health Statistics, Preventive Medicine, Public Health and History of Science. University of Alicante. Campus de San Vicente del Raspeig s/n, Apartado 99, 03080, Alicante, Spain. pamela.pereyra@ua.es.
Inmaculada MelchorDepartment of Community Nursing, Research Unit for the Analysis of Mortality and Health Statistics, Preventive Medicine, Public Health and History of Science. University of Alicante. Campus de San Vicente del Raspeig s/n, Apartado 99, 03080, Alicante, Spain. melchor_inm@gva.es.
Joaquin MonchoDepartment of Community Nursing, Research Unit for the Analysis of Mortality and Health Statistics, Preventive Medicine, Public Health and History of Science. University of Alicante. Campus de San Vicente del Raspeig s/n, Apartado 99, 03080, Alicante, Spain. joaquin.moncho@ua.es.
Julia CalabuigServicio de Análisis de Sistemas de Información Sanitaria, Conselleria de Sanitat, Generalitat Valenciana. C/Micer Mascó, 31-33, 46010, Valencia, Spain. calabuig_jul@gva.es.
Carmen BaronaServicio del Plan de Salud, Dirección General de Salud Pública. Conselleria de Sanitat, Generalitat Valenciana. Avda. Cataluña, 21, 46020, Valencia, Spain. barona_car@gva.es.
University of Alicante · ESGeneralitat Valenciana · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-rated health is a subjective measure that has been related to indicators such as mortality, morbidity, functional capacity, and the use of health services. In Spain, there are few longitudinal studies associating self-rated health with hospital services use. The purpose of this study is to analyze the association between self-rated health and socioeconomic, demographic, and health variables, and the use of hospital services among the general population in the Region of Valencia, Spain.

methodsLongitudinal study of 5,275 adults who were included in the 2005 Region of Valencia Health Survey and linked to the Minimum Hospital Data Set between 2006 and 2009. Logistic regression models were used to calculate the odds ratios between use of hospital services and self-rated health, sex, age, educational level, employment status, income, country of birth, chronic conditions, disability and previous use of hospital services.

resultsBy the end of a 4-year follow-up period, 1,184 participants (22.4%) had used hospital services. Use of hospital services was associated with poor self-rated health among both men and women. In men, it was also associated with unemployment, low income, and the presence of a chronic disease. In women, it was associated with low educational level, the presence of a disability, previous hospital services use, and the presence of chronic disease. Interactions were detected between self-rated health and chronic disease in men and between self-rated health and educational level in women.

conclusionsSelf-rated health acts as a predictor of hospital services use. Various health and socioeconomic variables provide additional predictive capacity. Interactions were detected between self-rated health and other variables that may reflect different complex predictive models, by gender.

Indexed as

Health StatusSelf ReportAdolescentAdultAgedAged, 80 and overChronic DiseaseEmploymentFemaleGovernment ProgramsHealth SurveysHospitalsHumansLogistic ModelsLongitudinal StudiesMale

Identifiers

PMID26537822
PMCPMC4634188
OpenAlexW2150253470

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.