Evidence map›Paper›PMID 33152044›Full record

Observational studyPloS one2020

Quantifying the collective influence of social determinants of health using conditional and cluster modeling.

Zachary D Rethorn, Alessandra N Garcia, Chad E Cook, Oren N Gottfried

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  9. Analyzing Multiple Social Determinants of Health Using Different Clustering Methods.International journal of environmental research and public health · 2024
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  15. Clustering of Social Determinants of Health Among Patients.Journal of primary care & community health
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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

4 authors at 3 institutions in 1 country.

Zachary D RethornDoctor of Physical Therapy Division, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-6412-0894
Alessandra N GarciaPhysical Therapy Program, College of Pharmacy & Health Sciences, Campbell University, Buies Creek, North Carolina, United States of America.
Chad E CookDoctor of Physical Therapy Division, Duke University, Durham, North Carolina, United States of America.
Oren N GottfriedDepartment of Neurosurgery, Duke University Medical Center, Durham, North Carolina, United States of America.
Duke University · USCampbell University · USDuke Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur objective was to analyze the collective effect of social determinants of health (SDoH) on lumbar spine surgery outcomes utilizing two different statistical methods of combining variables.

methodsThis observational study analyzed data from the Quality Outcomes Database, a nationwide United States spine registry. Race/ethnicity, educational attainment, employment status, insurance payer, and gender were predictors of interest. We built two models to assess the collective influence of SDoH on outcomes following lumbar spine surgery-a stepwise model using each number of SDoH conditions present (0 of 5, 1 of 5, 2 of 5, etc) and a clustered subgroup model. Logistic regression analyses adjusted for age, multimorbidity, surgical indication, type of lumbar spine surgery, and surgical approach were performed to identify the odds of failing to demonstrate clinically meaningful improvements in disability, back pain, leg pain, quality of life, and patient satisfaction at 3- and 12-months following lumbar spine surgery.

resultsStepwise modeling outperformed individual SDoH when 4 of 5 SDoH were present. Cluster modeling revealed 4 distinct subgroups. Disparities between the younger, minority, lower socioeconomic status and the younger, white, higher socioeconomic status subgroups were substantially wider compared to individual SDoH. DISCUSSION: Collective and cluster modeling of SDoH better predicted failure to demonstrate clinically meaningful improvements than individual SDoH in this cohort. Viewing social factors in aggregate rather than individually may offer more precise estimates of the impact of SDoH on outcomes.

Indexed as

AdultAgedBack PainCluster AnalysisCohort StudiesDatabases, FactualEducational StatusEmploymentFemaleHumansLumbar VertebraeMaleMiddle AgedMinority GroupsModels, StatisticalQuality of Life

Identifiers

PMID33152044
PMCPMC7644039
OpenAlexW3097936127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.