How Should We Measure Social Deprivation in Orthopaedic Patients?

Clin Orthop Relat Res

Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.

Published: February 2022

Background: Social deprivation negatively affects a myriad of physical and behavioral health outcomes. Several measures of social deprivation exist, but it is unclear which measure is best suited to describe patients with orthopaedic conditions.

Questions/purposes: (1) Which measure of social deprivation, defined as "limited access to society's resources due to poverty, discrimination, or other disadvantage," is most strongly and consistently correlated with patient-reported physical and behavioral health in patients with orthopaedic conditions? (2) Compared with the use of a single measure alone, how much more variability in patient-reported health does the simultaneous use of multiple social deprivation measures capture?

Methods: Between 2015 and 2017, a total of 79,818 new patient evaluations occurred within the orthopaedic department of a single, large, urban, tertiary-care academic center. Over that period, standardized collection of patient-reported health measures (as described by the Patient-reported Outcomes Measurement Information System [PROMIS]) was implemented in a staged fashion throughout the department. We excluded the 25% (19,926) of patient encounters that did not have associated PROMIS measures reported, which left 75% (59,892) of patient encounters available for analysis in this cross-sectional study of existing medical records. Five markers of social deprivation were collected for each patient: national and state Area Deprivation Index, Medically Underserved Area Status, Rural-Urban Commuting Area code, and insurance classification (private, Medicare, Medicaid, or other). Patient-reported physical and behavioral health was measured via PROMIS computer adaptive test domains, which patients completed as part of standard care before being evaluated by a provider. Adults completed the PROMIS Physical Function version 1.2 or version 2.0, Pain Interference version 1.1, Anxiety version 1.0, and Depression version 1.0. Children ages 5 to 17 years completed the PROMIS Pediatric Mobility version 1.0 or version 2.0, Pain Interference version 1.0 or version 2.0, Upper Extremity version 1.0, and Peer Relationships version 1.0. Age-adjusted partial Pearson correlation coefficients were determined for each social deprivation measure and PROMIS domain. Coefficients of at least 0.1 were considered clinically meaningful for this purpose. Additionally, to determine the percentage of PROMIS score variability that could be attributed to each social deprivation measure, an age-adjusted hierarchical regression analysis was performed for each PROMIS domain, in which social deprivation measures were sequentially added as independent variables. The model coefficients of determination (r2) were compared as social deprivation measures were incrementally added. Improvement of the r2 by at least 10% was considered clinically meaningful.

Results: Insurance classification was the social deprivation measure with the largest (absolute value) age-adjusted correlation coefficient for all adult and pediatric PROMIS physical and behavioral health domains (adults: correlation coefficient 0.40 to 0.43 [95% CI 0.39 to 0.44]; pediatrics: correlation coefficient 0.10 to 0.19 [95% CI 0.08 to 0.21]), followed by national Area Deprivation Index (adults: correlation coefficient 0.18 to 0.22 [95% CI 0.17 to 0.23]; pediatrics: correlation coefficient 0.08 to 0.15 [95% CI 0.06 to 0.17]), followed closely by state Area Deprivation Index. The Medically Underserved Area Status and Rural-Urban Commuting Area code each had correlation coefficients of 0.1 or larger for some PROMIS domains but neither had consistently stronger correlation coefficients than the other. Except for the PROMIS Pediatric Upper Extremity domain, consideration of insurance classification and the national Area Deprivation Index together explained more of the variation in age-adjusted PROMIS scores than the use of insurance classification alone (adults: r2 improvement 32% to 189% [95% CI 0.02 to 0.04]; pediatrics: r2 improvement 56% to 110% [95% CI 0.01 to 0.02]). The addition of the Medically Underserved Area Status, Rural-Urban Commuting Area code, and/or state Area Deprivation Index did not further improve the r2 for any of the PROMIS domains.

Conclusion: To capture the most variability due to social deprivation in orthopaedic patients' self-reported physical and behavioral health, insurance classification (categorized as private, Medicare, Medicaid, or other) and national Area Deprivation Index should be included in statistical analyses. If only one measure of social deprivation is preferred, insurance classification or national Area Deprivation Index are reasonable options. Insurance classification may be more readily available, but the national Area Deprivation Index stratifies patients across a wider distribution of values. When conducting clinical outcomes research with social deprivation as a relevant covariate, we encourage researchers to consider accounting for insurance classification and/or national Area Deprivation Index, both of which are freely available and can be obtained from data that are typically collected during routine clinical care.

Level Of Evidence: Level III, therapeutic study.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747613PMC
http://dx.doi.org/10.1097/CORR.0000000000002044DOI Listing

Publication Analysis

Top Keywords

social deprivation
56
area deprivation
36
insurance classification
32
national area
24
deprivation
23
physical behavioral
20
behavioral health
20
correlation coefficient
20
area
15
social
13

Similar Publications

The effects of diazepam on sleep depend on the photoperiod.

Acta Pharmacol Sin

January 2025

Laboratory for Neurophysiology, Department of Cell and Chemical Biology, Leiden University, Medical Centre, Leiden, 2333, ZC, The Netherlands.

Daylength (i.e., photoperiod) provides essential information for seasonal adaptations of organisms.

View Article and Find Full Text PDF

Purpose: Previous research on pediatric motor vehicle collisions (MVC) and fatalities has primarily focused on patient demographics and crash specific information. This study evaluates whether various measures of local infrastructure, including the National Walk Index (NWI), population density, and public school density, or macroeconomic forces, encapsulated in Social Vulnerability Index (SVI) and food area deprivation (PFA) can predict which counties are most at risk for pediatric traffic fatalities.

Methods: Counties with more than 100,000 children in the most recent US census and ≥1 pediatric traffic fatality as identified in the Fatality Analysis Reporting System (FARS) between 2017 and 2021 were included in the study.

View Article and Find Full Text PDF

Objective: The aim of this study was to evaluate the association of neighborhood-level and individual-level measures of socioeconomic status with readmission, complication rates, and postoperative length of stay of patients with cervical spondylotic myelopathy (CSM) in the Deep South.

Methods: The authors identified all patients undergoing surgical intervention for the treatment of CSM from November 2010 to February 2022 using Current Procedural Terminology and ICD-9/ICD-10 codes. Patient demographic, socioeconomic, perioperative, and postoperative data for each patient were collected via review of the electronic medical record.

View Article and Find Full Text PDF

Beyond the Nest: The Role of Financial Independence in Young Adult Health.

Int J Behav Med

January 2025

Department of Psychology, Georgia State University, 140 Decatur Street, Suite 1150 Urban Life Building, Atlanta, GA, 30303, USA.

Background: This study aimed to examine the impact of neighborhood conditions and household material hardship experiences on young adult health outcomes, while also considering financial autonomy as a critical determinant of health.

Method: We employed a cross-sectional observational design with a diverse sample of young adults from a large urban university. Structural equation modeling was used to analyze the relationships between neighborhood conditions and material hardship with health outcomes by financial autonomy.

View Article and Find Full Text PDF

Objective: Post-resuscitation brain injury is a common sequela after cardiac arrest (CA). Increasing sirtuin1 (SIRT1) has been involved in neuroprotection in oxygen-glucose deprivation (OGD) neurons, and we investigated its mechanism in post-cardiopulmonary resuscitation (CPR) rat brain injury by mediating p65 deacetylation modification to mediate hippocampal neuronal ferroptosis.

Methods: Sprague-Dawley rat CA/CPR model was established and treated with Ad-SIRT1 and Ad-GFP adenovirus vectors, or Erastin.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!