Evidence map›Paper›PMID 32266395›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2021

Use of Informal Support as a Predictor of Home- and Community-Based Services Utilization.

Kristen N Robinson, Heather L Menne, Raphael Gaeta

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

3 authors.

Kristen N RobinsonSocial & Scientific Systems, Inc., Silver Spring, Maryland.
Heather L MenneRTI International, Washington, District of Columbia.
Raphael GaetaNew Editions Consulting, Inc., Falls Church, Virginia.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

objectivesHome- and community-based services (HCBS) help older adults remain living safely in their homes by delaying or preventing the need for institutionalization. This analysis is guided by the Andersen Behavioral Model of Health Services Use to examine the association between informal support and use of HCBS.

methodHealth and Retirement Study data from 2011 and 2012 are used in the bivariate analyses and multivariate logistic regression models to examine differences in HCBS utilization among extremely vulnerable older adults who have informal caregivers and those who do not.

resultsFor extremely vulnerable older adults who report difficulties with any instrumental or basic activities of daily living, use of HCBS is not strongly associated with access to informal caregivers. However, for this same population of extremely vulnerable older adults, those who live alone have roughly 3 times the odds of using any HCBS compared to those who do not live alone. DISCUSSION: Among already vulnerable older adults, this study revealed that living alone is an important enabling factor of the Andersen Behavioral Model as applied in HCBS research. Further investigation is needed to see if more resources should be allocated to senior centers and local providers to identify vulnerable older adults who live alone and may have unmet needs.

Indexed as

Activities of Daily LivingSocial SupportAgedAged, 80 and overCaregiversCommunity Health ServicesFacilities and Services UtilizationFemaleHealth Services Needs and DemandHome Care ServicesHumansIndependent LivingLongitudinal StudiesMaleUnited StatesActivities of daily livingLiving aloneSocial support

Identifiers

PMID32266395
PMCPMC7756698

What OpenQuestion holds

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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.