Evidence map›Paper›PMID 27422021›Full record

ArticleBMC public health2016

Prevalence of and factors associated with homebound status among adults in urban and rural Spanish populations.

Laureano Negrón-Blanco, Jesús de Pedro-Cuesta, Javier Almazán, Carmen Rodríguez-Blázquez, Esther Franco, Javier Damián, DISCAP-ARAGON Research Group

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Multidimensional factors affecting homebound older adults: A systematic review.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2022
    Pooled it
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  15. Home sweet home: GPs' response to an increase in the fee size for home visits.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
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  16. A Scoping Review of Homebound Older People: Definition, Measurement and Determinants.International journal of environmental research and public health · 2021
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  18. Observational
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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

7 authors.

Laureano Negrón-BlancoXeral-Calde Hospital Complex, Lucus Augusti University Teaching Hospital, Lugo, Spain.
Jesús de Pedro-CuestaDepartment of Applied Epidemiology, National Centre for Epidemiology (Carlos III Institute of Health), Madrid, Spain.
Javier AlmazánDepartment of Applied Epidemiology, National Centre for Epidemiology (Carlos III Institute of Health), Madrid, Spain.
Carmen Rodríguez-BlázquezDepartment of Applied Epidemiology, National Centre for Epidemiology (Carlos III Institute of Health), Madrid, Spain.
Esther FrancoFaculty of Medicine & Health Sciences, School of Physiatry and Nursing, Zaragoza University, Zaragoza, Spain.
Javier DamiánDepartment of Applied Epidemiology, National Centre for Epidemiology (Carlos III Institute of Health), Madrid, Spain. jdamian@isciii.es.ORCID 0000-0002-6258-8220
DISCAP-ARAGON Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a marked growth in the number of homebound older adults, due mainly to increased life expectancy. Although this group has special characteristics and needs, it has not been properly studied. This study thus aimed to measure the prevalence of homebound status in a community-dwelling population, and its association with both socio-demographic, medical and functional characteristics and the use of health care and social services.

methodsWe used instruments coming under the WHO International Classification of Functioning (ICF) framework to carry out a cross-sectional study on populations aged 50 years and over in the province of Zaragoza (Spain), covering a total of 1622 participants. Persons who reported severe or extreme difficulty in getting out of the house in the last 30 days were deemed to be homebound. We studied associations between homebound status and several relevant variables in a group of 790 subjects who tested positive to the WHODAS-12 disability screening tool.

resultsPrevalence of homebound status was 9.8 % (95 % CI: 8.4 to 11.3 %). Homebound participants tended to be older, female and display a lower educational level, a higher number of diseases, poorer cognition and a higher degree of disability. In fully adjusted models including disability as measured with the ICF-Checklist, the associated variables (odds ratios and [95 % confidence intervals]) were: female gender (3.75 [2.10-6.68]); urban population (2.36 [1.30-4.29]); WHODAS-12 disability (6.27 [2.56-15.40]); depressive symptoms (2.95 [1.86-4.68]); moderate pain (2.37 [1.30-4.31] and severe pain (3.03 [1.31-7.01]), as compared to the group with no/mild pain; hospital admissions in the previous 3 months (2.98 [1.25-7.11]); and diabetes (1.87 [1.03-3.41]). Adjustment for ICF-Checklist disability had a notable impact on most associations.

conclusionsThe study shows that homebound status is a common problem in our setting, and that being disabled is its main determinant. Socio-demographic characteristics, barriers and chronic diseases can also be assumed to be playing a role in the onset of this condition, indicating the need for further research, including longitudinal studies on its incidence and associated factors.

Indexed as

AgedAged, 80 and overCognition DisordersComorbidityCross-Sectional StudiesFemaleHealth ServicesHomebound PersonsHumansMaleMental HealthMiddle AgedPersons with DisabilitiesPrevalenceRural PopulationSeverity of Illness IndexAgeingDependenceDisabilityHomebound statusOlder people

Identifiers

PMID27422021
PMCPMC4946192

What OpenQuestion holds

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LicenceCC BY
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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.