Evidence map›Paper›PMID 38875950›Full record

ArticleThe Journal of surgical research2024

Care Fragmentation, Social Determinants of Health, and Postoperative Mortality in Older Veterans.

Carly A Duncan, Michael A Jacobs, Yubo Gao, Michael Mader, Susanne Schmidt, Heather Davila, Katherine Hadlandsmyth, Paula K Shireman, Leslie R M Hausmann, Robert A Tessler and 3 more

Abstract read
In one paragraph

Article in The Journal of surgical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Frailty Screening Using the Risk Analysis Index: A User Guide.Joint Commission journal on quality and patient safety · 2025
    Pooled it
  2. Article
  3. Article
  4. Review
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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

13 authors.

Carly A DuncanCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Michael A JacobsCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Yubo GaoCenter for Access and Delivery Research and Evaluation, Iowa City Veterans Affairs Medical Center, Iowa City, Iowa; Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa.
Michael MaderSouth Texas Veterans Healthcare System, San Antonio, Texas.
Susanne SchmidtDepartment of Population Health Sciences, University of Texas Health San Antonio, San Antonio, Texas.
Heather DavilaCenter for Access and Delivery Research and Evaluation, Iowa City Veterans Affairs Medical Center, Iowa City, Iowa; Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa.
Katherine HadlandsmythCenter for Access and Delivery Research and Evaluation, Iowa City Veterans Affairs Medical Center, Iowa City, Iowa; Department of Anesthesia, Carver College of Medicine, The University of Iowa, Iowa City, Iowa.
Paula K ShiremanDepartments of Primary Care & Rural Medicine and Medical Physiology, School of Medicine, Texas A&M Health, Bryan, Texas.
Leslie R M HausmannCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Robert A TesslerCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Andrea StrayerVA Quality Scholar, Iowa City Veterans Affairs Medical Center, Iowa City, Iowa; College of Nursing, The University of Iowa, Iowa City, Iowa.
Mary Vaughan SarrazinCenter for Access and Delivery Research and Evaluation, Iowa City Veterans Affairs Medical Center, Iowa City, Iowa; Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa.
Daniel E HallCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Wolff Center at University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. Electronic address: hallde@upmc.edu.

Funding

Understanding the effect of rurality and social risk factors on barriers to care and surgical outcomes.I01HX003095 · VA · VETERANS HEALTH ADMINISTRATION · PI HALL, DANIEL E · 2021 to 2025
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HSRD VA I01 HX003095
6 · The paper itself

Abstract

introductionVeterans Affairs Surgical Quality Improvement Program (VASQIP) benchmarking algorithms helped the Veterans Health Administration (VHA) reduce postoperative mortality. Despite calls to consider social risk factors, these algorithms do not adjust for social determinants of health (SDoH) or account for services fragmented between the VHA and the private sector. This investigation examines how the addition of SDoH change model performance and quantifies associations between SDoH and 30-d postoperative mortality.

methodsVASQIP (2013-2019) cohort study in patients ≥65 y old with 2-30-d inpatient stays. VASQIP was linked to other VHA and Medicare/Medicaid data. 30-d postoperative mortality was examined using multivariable logistic regression models, adjusting first for clinical variables, then adding SDoH.

resultsIn adjusted analyses of 93,644 inpatient cases (97.7% male, 79.7% non-Hispanic White), higher proportions of non-veterans affairs care (adjusted odds ratio [aOR] = 1.02, 95% CI = 1.01-1.04) and living in highly deprived areas (aOR = 1.15, 95% CI = 1.02-1.29) were associated with increased postoperative mortality. Black race (aOR = 0.77, CI = 0.68-0.88) and rurality (aOR = 0.87, CI = 0.79-0.96) were associated with lower postoperative mortality. Adding SDoH to models with only clinical variables did not improve discrimination (c = 0.836 versus c = 0.835).

conclusionsPostoperative mortality is worse among Veterans receiving more health care outside the VA and living in highly deprived neighborhoods. However, adjusting for SDoH is unlikely to improve existing mortality-benchmarking models. Reduction efforts for postoperative mortality could focus on alleviating care fragmentation and designing care pathways that consider area deprivation. The adjusted survival advantage for rural and Black Veterans may be of interest to private sector hospitals as they attempt to alleviate enduring health-care disparities.

Indexed as

Social Determinants of HealthVeteransAgedAged, 80 and overFemaleHumansMalePostoperative ComplicationsQuality ImprovementRisk FactorsUnited StatesUnited States Department of Veterans AffairsArea deprivationCare fragmentationRisk prediction modelingRuralitySurgical outcomes

Identifiers

PMID38875950
PMCPMC11837767

What OpenQuestion holds

Textmetadata
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.