Evidence map›Paper›PMID 36841262›Full record

ArticleJournal of the American Medical Directors Association2023

The Role of Individual-Level Socioeconomic Status on Nursing Home Placement Accounting for Neighborhood Characteristics.

Euijung Ryu, Chung-Il Wi, Philip H Wheeler, Katherine S King, Rachel E Carlson, Young J Juhn, Paul Y Takahashi

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Euijung RyuDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA. Electronic address: ryu.euijung@mayo.edu.
Chung-Il WiDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA.
Philip H WheelerDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA.
Katherine S KingDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Rachel E CarlsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Young J JuhnDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA.
Paul Y TakahashiDivision of Primary Care and Internal Medicine, Mayo Clinic, Rochester, MN, USA.

Funding

Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

objectiveIndependent living is desirable for many older adults. Although several factors such as physical and cognitive functions are important predictors for nursing home placement (NHP), it is also reported that socioeconomic status (SES) affects the risk of NHP. In this study, we aimed to examine whether an individual-level measure of SES is associated with the risk of NHP after accounting for neighborhood characteristics.

designA population-based study (Olmsted County, Minnesota, USA). SETTING AND

participantsOlder adults (age 65+ years) with no prior history of NHP.

methodsElectronic health records (EHR) were used to identify individuals with any NHP between April 1, 2012 (baseline date) and April 30, 2019. Association between the (HOUsing-based index of SocioEconomic Status (HOUSES) index, an individual-level SES measure based on housing characteristics of current residence, and risk of NHP was tested using random effects Cox proportional hazard model adjusting for area deprivation index (ADI), an aggregated SES measure that captures neighborhood characteristics, and other pertinent confounders such as age and chronic disease burden.

resultsAmong 15,031 older adults, 3341 (22.2%) experienced NHP during follow-up period (median: 7.1 years). At baseline date, median age was 73 years old with 55% female persons, 91% non-Hispanic Whites, and median number of chronic conditions of 4. Accounting for pertinent confounders, the HOUSES index was strongly associated with risk of NHP (hazard ratio 1.89; 95% confidence interval 1.66‒2.15 for comparing the lowest vs highest quartiles), which was not influenced by further accounting for ADI. CONCLUSIONS AND IMPLICATIONS: This study demonstrates that an individual-level SES measure capturing current individual-specific socioeconomic circumstances plays a significant role for predicting NHP independent of neighborhood characteristics where they reside. This study suggests that older adults who are at higher risk of NHP can be identified by utilizing the HOUSES index and potential individual-level intervention strategies can be applied to reduce the risk for those with higher risk.

Indexed as

HousingSocial ClassAgedChronic DiseaseFemaleHumansMaleNeighborhood CharacteristicsNursing HomesResidence CharacteristicsRisk FactorsSocioeconomic Factorsarea deprivation indexnursing home placementSocioeconomic statusthe HOUSES index

Identifiers

PMID36841262
PMCPMC10962058

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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.