Evidence map›Paper›PMID 37647256›Full record

ArticlePloS one2023

Structural violence and institutionalized individuals: A paleopathological perspective on a continuing issue.

Carlina de la Cova, Madeleine Mant, Megan B Brickley

Abstract read
In one paragraph

Article in PloS one, 2023. 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.

Carlina de la CovaDepartment of Anthropology, University of South Carolina, Columbia, South Carolina, United States of America.ORCID 0000-0001-7144-060X
Madeleine MantDepartment of Anthropology, University of Toronto Mississauga, Mississauga, Ontario, Canada.ORCID 0000-0002-5370-9959
Megan B BrickleyDepartment of Anthropology, McMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Past and present institutions (e.g., state and public hospitals, assisted living facilities, public nursing homes) have struggled with structural issues tied to patient care and neglect, which often manifests in the form of fracture trauma, and may explain why institutionalized individuals are at higher risk for this injury. Six hundred individuals from the Robert J. Terry Anatomical Collection born between 1822-1877 were examined to investigate hip fracture prevalence. Analysis of associated records and documentary data, including death, morgue, and census records, revealed that 36.3% (n = 218) of these individuals died in institutions such as the St. Louis State Hospital, City Infirmary, and Missouri State Hospital No. 4. Of the institutionalized individuals, 4.3% had evidence of hip fracture, significantly higher than the non-institutionalized (2.3%). Records revealed that many hip fractures were suffered around the time of death in state hospitals and were preventable, resulting from structural issues tied to understaffing and underfunding. Forensic and clinical literature, as well as current news media, indicate that structural violence in the forms of underfunding and understaffing continues to manifest as hip fractures harming institutionalized individuals today. This paper demonstrates how an anthropological perspective using paleopathological analysis sheds light on the chronicity and time depth of this issue, with the aim of driving public policy to entrench the equitable care of institutionalized people as a human right.

Indexed as

Assisted Living FacilitiesHip FracturesAnthropologyHospitals, PublicHumansViolence

Identifiers

PMID37647256
PMCPMC10468073

What OpenQuestion holds

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LicenceCC BY
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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.