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Association of Coded Housing Instability and Hospitalization in the US
IMPORTANCE: Housing instability and other social determinants of health are increasingly being documented by clinicians. The most common reasons for hospitalization among patients with coded housing instability, however, are not well understood. OBJECTIVE: To compare the most common reasons for hosp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664259/ https://www.ncbi.nlm.nih.gov/pubmed/36374498 http://dx.doi.org/10.1001/jamanetworkopen.2022.41951 |
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author | Rollings, Kimberly A. Kunnath, Nicholas Ryus, Caitlin R. Janke, Alexander T. Ibrahim, Andrew M. |
author_facet | Rollings, Kimberly A. Kunnath, Nicholas Ryus, Caitlin R. Janke, Alexander T. Ibrahim, Andrew M. |
author_sort | Rollings, Kimberly A. |
collection | PubMed |
description | IMPORTANCE: Housing instability and other social determinants of health are increasingly being documented by clinicians. The most common reasons for hospitalization among patients with coded housing instability, however, are not well understood. OBJECTIVE: To compare the most common reasons for hospitalization among patients with and without coded housing instability. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional, retrospective study identified hospitalizations of patients between age 18 and 99 years using the 2017 to 2019 National Inpatient Sample. Data were analyzed from May to September 2022. EXPOSURES: Housing instability was operationalized using 5 International Classification of Diseases, 10th Revision, Social Determinants of Health Z-Codes addressing problems related to housing: homelessness; inadequate housing; discord with neighbors, lodgers, and landlords; residential institution problems; and other related problems. MAIN OUTCOMES AND MEASURES: The primary outcome of interest was reason for inpatient admission. Bivariate comparisons of patient characteristics, primary diagnoses, length of stay, and hospitalization costs among patients with and without coded housing instability were performed. RESULTS: Among the 87 348 604 hospitalizations analyzed, the mean (SD) age was 58 (20) years and patients were more likely to be women (50 174 117 [57.4%]) and White (58 763 014 [67.3%]). Housing instability was coded for 945 090 hospitalizations. Hospitalized patients with housing instability, compared with those without instability, were more likely to be men (668 255 patients with coded instability [70.7%] vs 36 506 229 patients without [42.3%]; P < .001), younger (mean [SD] age 45.5 [14.0] vs 58.4 [20.2] years), Black (235 355 patients [24.9%] vs 12 929 158 patients [15.0%]), Medicaid beneficiaries (521 555 patients [55.2%] vs 15 541 175 patients [18.0%]), uninsured (117 375 patients [12.4%] vs 3 476 841 patients [4.0%]), and discharged against medical advice (28 890 patients [8.4%] vs 451 855 patients [1.6%]). The most common reason for hospitalization among patients with coded housing instability was mental, behavioral, and neurodevelopmental disorders (475 575 patients [50.3%]), which cost a total of $3.5 billion. Other common reasons included injury (69 270 patients [7.3%]) and circulatory system diseases (64 700 patients [6.8%]). Coded housing instability was also significantly associated with longer mean (SD) hospital stays (6.7 [.06] vs 4.8 [.01] days) and a cost of $9.3 billion. Hospitalized patients with housing instability had 18.6 times greater odds of having a primary diagnosis of mental, behavioral, and neurodevelopmental disorders (475 575 patients [50.3%] vs 4 470 675 patients [5.2%]; odds ratio, 18.56; 95% CI, 17.86 to 19.29). CONCLUSIONS AND RELEVANCE: In this cross-sectional study, hospitalizations among patients with coded housing instability had higher admission rates for mental, behavioral, and neurodevelopmental disorders, longer stays, and increased costs. Findings suggest that efforts to improve housing instability, mental and behavioral health, and inpatient hospital utilization across multiple sectors may find areas for synergistic collaboration. |
format | Online Article Text |
id | pubmed-9664259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-96642592022-12-05 Association of Coded Housing Instability and Hospitalization in the US Rollings, Kimberly A. Kunnath, Nicholas Ryus, Caitlin R. Janke, Alexander T. Ibrahim, Andrew M. JAMA Netw Open Original Investigation IMPORTANCE: Housing instability and other social determinants of health are increasingly being documented by clinicians. The most common reasons for hospitalization among patients with coded housing instability, however, are not well understood. OBJECTIVE: To compare the most common reasons for hospitalization among patients with and without coded housing instability. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional, retrospective study identified hospitalizations of patients between age 18 and 99 years using the 2017 to 2019 National Inpatient Sample. Data were analyzed from May to September 2022. EXPOSURES: Housing instability was operationalized using 5 International Classification of Diseases, 10th Revision, Social Determinants of Health Z-Codes addressing problems related to housing: homelessness; inadequate housing; discord with neighbors, lodgers, and landlords; residential institution problems; and other related problems. MAIN OUTCOMES AND MEASURES: The primary outcome of interest was reason for inpatient admission. Bivariate comparisons of patient characteristics, primary diagnoses, length of stay, and hospitalization costs among patients with and without coded housing instability were performed. RESULTS: Among the 87 348 604 hospitalizations analyzed, the mean (SD) age was 58 (20) years and patients were more likely to be women (50 174 117 [57.4%]) and White (58 763 014 [67.3%]). Housing instability was coded for 945 090 hospitalizations. Hospitalized patients with housing instability, compared with those without instability, were more likely to be men (668 255 patients with coded instability [70.7%] vs 36 506 229 patients without [42.3%]; P < .001), younger (mean [SD] age 45.5 [14.0] vs 58.4 [20.2] years), Black (235 355 patients [24.9%] vs 12 929 158 patients [15.0%]), Medicaid beneficiaries (521 555 patients [55.2%] vs 15 541 175 patients [18.0%]), uninsured (117 375 patients [12.4%] vs 3 476 841 patients [4.0%]), and discharged against medical advice (28 890 patients [8.4%] vs 451 855 patients [1.6%]). The most common reason for hospitalization among patients with coded housing instability was mental, behavioral, and neurodevelopmental disorders (475 575 patients [50.3%]), which cost a total of $3.5 billion. Other common reasons included injury (69 270 patients [7.3%]) and circulatory system diseases (64 700 patients [6.8%]). Coded housing instability was also significantly associated with longer mean (SD) hospital stays (6.7 [.06] vs 4.8 [.01] days) and a cost of $9.3 billion. Hospitalized patients with housing instability had 18.6 times greater odds of having a primary diagnosis of mental, behavioral, and neurodevelopmental disorders (475 575 patients [50.3%] vs 4 470 675 patients [5.2%]; odds ratio, 18.56; 95% CI, 17.86 to 19.29). CONCLUSIONS AND RELEVANCE: In this cross-sectional study, hospitalizations among patients with coded housing instability had higher admission rates for mental, behavioral, and neurodevelopmental disorders, longer stays, and increased costs. Findings suggest that efforts to improve housing instability, mental and behavioral health, and inpatient hospital utilization across multiple sectors may find areas for synergistic collaboration. American Medical Association 2022-11-14 /pmc/articles/PMC9664259/ /pubmed/36374498 http://dx.doi.org/10.1001/jamanetworkopen.2022.41951 Text en Copyright 2022 Rollings KA et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Rollings, Kimberly A. Kunnath, Nicholas Ryus, Caitlin R. Janke, Alexander T. Ibrahim, Andrew M. Association of Coded Housing Instability and Hospitalization in the US |
title | Association of Coded Housing Instability and Hospitalization in the US |
title_full | Association of Coded Housing Instability and Hospitalization in the US |
title_fullStr | Association of Coded Housing Instability and Hospitalization in the US |
title_full_unstemmed | Association of Coded Housing Instability and Hospitalization in the US |
title_short | Association of Coded Housing Instability and Hospitalization in the US |
title_sort | association of coded housing instability and hospitalization in the us |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664259/ https://www.ncbi.nlm.nih.gov/pubmed/36374498 http://dx.doi.org/10.1001/jamanetworkopen.2022.41951 |
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