Evidence map›Paper›PMID 34849854›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Medical and Social Factors Associated With Referral for Elder Abuse Services in a National Health Care System.

Lena K Makaroun, Carolyn T Thorpe, Maria K Mor, Hongwei Zhang, Elijah Lovelace, Tony Rosen, Melissa E Dichter, Ann-Marie Rosland

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. 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

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

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

8 authors.

Lena K MakarounVA Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-4312-1016
Carolyn T ThorpeVA Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.
Maria K MorVA Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.
Hongwei ZhangVA Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.
Elijah LovelaceVA Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.
Tony RosenNew-York Presbyterian Hospital Weill Cornell Medical College, New York, New York, USA.
Melissa E DichterVA Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.
Ann-Marie RoslandVA Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Pilot CoreP30AG022845 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Manney Carrington Reid · 2003 to 2026
$15.2M
Identifying Injury Patterns and Forensic Biomarkers Diagnostic of Physical Elder AbuseK76AG054866 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI ROSEN, ANTHONY · 2016 to 2021
$1.1M
NIA NIH HHS K76 AG054866NIA NIH HHS P30 AG022845NIH HHS P30 AG024827
6 · The paper itself

Abstract

backgroundElder abuse (EA) is common and has devastating health consequences yet is not systematically assessed or documented in most health systems, limiting efforts to target health care-based interventions. Our objective was to examine sociodemographic and medical characteristics associated with documented referrals for EA assessment or services in a national U.S. health care system.

methodsWe conducted a national case-control study in U.S. Veterans Health Administration facilities of primary care (PC)-engaged Veterans age ≥60 years who were evaluated by social work (SW) for EA-related concerns between 2010 and 2018. Cases were matched 1:5 to controls with a PC visit within 60 days of the matched case SW encounter. We examined the association of patient sociodemographic and health factors with receipt of EA services in unadjusted and adjusted models.

resultsOf 5 567 664 Veterans meeting eligibility criteria during the study period, 15 752 (0.3%) received services for EA (cases). Cases were mean age 74, and 54% unmarried. In adjusted logistic regression models (adjusted odds ratio; 95% confidence interval), age ≥ 85 (3.56 vs age 60-64; 3.24-3.91), female sex (1.96; 1.76-2.21), child as next-of-kin (1.70 vs spouse; 1.57-1.85), lower neighborhood socioeconomic status (1.18 per higher quartile; 1.15-1.21), dementia diagnosis (3.01; 2.77-3.28), and receiving a VA pension (1.34; 1.23-1.46) were associated with receiving EA services.

conclusionIn the largest cohort of patients receiving EA-related health care services studied to date, this study identified novel factors associated with clinical suspicion of EA that can be used to inform improvements in health care-based EA surveillance and detection.

Indexed as

Elder AbuseVeteransAgedCase-Control StudiesDelivery of Health CareFemaleHumansReferral and ConsultationSocial FactorsUnited StatesEpidemiologyHealth ServicesPsychosocialRisk Factors

Identifiers

PMID34849854
PMCPMC9373957

What OpenQuestion holds

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Registered trials

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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.