{"title":"美国养老院居民的 COVID-19 感染：个人因素和环境因素的系统回顾。","authors":"Cheng Yin, Elias Mpofu, Kaye Brock, Stan Ingman","doi":"10.1177/23337214241229824","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> This mixed methods systemic review synthesizes the evidence about nursing home risks for COVID-19 infections. <b>Methods:</b> Four electronic databases (PubMed, Web of Science, Scopus, and Sage Journals Online) were searched between January 2020 and October 2022. Inclusion criteria were studies reported on nursing home COVID-19 infection risks by geography, demography, type of nursing home, staffing and resident's health, and COVID-19 vaccination status. The Mixed Methods Appraisal Tool (MMAT) was used to assess the levels of evidence for quality, and a narrative synthesis for reporting the findings by theme. <b>Results:</b> Of 579 initial articles, 48 were included in the review. Findings suggest that highly populated counties and urban locations had a higher likelihood of COVID-19 infections. Larger nursing homes with a low percentage of fully vaccinated residents also had increased risks for COVID-19 infections than smaller nursing homes. Residents with advanced age, of racial minority, and those with chronic illnesses were at higher risk for COVID-19 infections. <b>Discussion and implications:</b> Findings suggest that along with known risk factors for COVID-19 infections, geographic and resident demographics are also important preventive care considerations. Access to COVID-19 vaccinations for vulnerable residents should be a priority.</p>","PeriodicalId":52146,"journal":{"name":"Gerontology and Geriatric Medicine","volume":"10 ","pages":"23337214241229824"},"PeriodicalIF":2.1000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10870703/pdf/","citationCount":"0","resultStr":"{\"title\":\"Nursing Home Residents' COVID-19 Infections in the United States: A Systematic Review of Personal and Contextual Factors.\",\"authors\":\"Cheng Yin, Elias Mpofu, Kaye Brock, Stan Ingman\",\"doi\":\"10.1177/23337214241229824\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background:</b> This mixed methods systemic review synthesizes the evidence about nursing home risks for COVID-19 infections. <b>Methods:</b> Four electronic databases (PubMed, Web of Science, Scopus, and Sage Journals Online) were searched between January 2020 and October 2022. Inclusion criteria were studies reported on nursing home COVID-19 infection risks by geography, demography, type of nursing home, staffing and resident's health, and COVID-19 vaccination status. The Mixed Methods Appraisal Tool (MMAT) was used to assess the levels of evidence for quality, and a narrative synthesis for reporting the findings by theme. <b>Results:</b> Of 579 initial articles, 48 were included in the review. Findings suggest that highly populated counties and urban locations had a higher likelihood of COVID-19 infections. Larger nursing homes with a low percentage of fully vaccinated residents also had increased risks for COVID-19 infections than smaller nursing homes. Residents with advanced age, of racial minority, and those with chronic illnesses were at higher risk for COVID-19 infections. <b>Discussion and implications:</b> Findings suggest that along with known risk factors for COVID-19 infections, geographic and resident demographics are also important preventive care considerations. Access to COVID-19 vaccinations for vulnerable residents should be a priority.</p>\",\"PeriodicalId\":52146,\"journal\":{\"name\":\"Gerontology and Geriatric Medicine\",\"volume\":\"10 \",\"pages\":\"23337214241229824\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10870703/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gerontology and Geriatric Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/23337214241229824\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gerontology and Geriatric Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23337214241229824","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
Nursing Home Residents' COVID-19 Infections in the United States: A Systematic Review of Personal and Contextual Factors.
Background: This mixed methods systemic review synthesizes the evidence about nursing home risks for COVID-19 infections. Methods: Four electronic databases (PubMed, Web of Science, Scopus, and Sage Journals Online) were searched between January 2020 and October 2022. Inclusion criteria were studies reported on nursing home COVID-19 infection risks by geography, demography, type of nursing home, staffing and resident's health, and COVID-19 vaccination status. The Mixed Methods Appraisal Tool (MMAT) was used to assess the levels of evidence for quality, and a narrative synthesis for reporting the findings by theme. Results: Of 579 initial articles, 48 were included in the review. Findings suggest that highly populated counties and urban locations had a higher likelihood of COVID-19 infections. Larger nursing homes with a low percentage of fully vaccinated residents also had increased risks for COVID-19 infections than smaller nursing homes. Residents with advanced age, of racial minority, and those with chronic illnesses were at higher risk for COVID-19 infections. Discussion and implications: Findings suggest that along with known risk factors for COVID-19 infections, geographic and resident demographics are also important preventive care considerations. Access to COVID-19 vaccinations for vulnerable residents should be a priority.
期刊介绍：
Gerontology and Geriatric Medicine (GGM) is an interdisciplinary, peer-reviewed open access journal where scholars from a variety of disciplines present their work focusing on the psychological, behavioral, social, and biological aspects of aging, and public health services and research related to aging. The journal addresses a wide variety of topics related to health services research in gerontology and geriatrics. GGM seeks to be one of the world’s premier Open Access outlets for gerontological academic research. As such, GGM does not limit content due to page budgets or thematic significance. Papers will be subjected to rigorous peer review but will be selected solely on the basis of whether the research is sound and deserves publication. By virtue of not restricting papers to a narrow discipline, GGM facilitates the discovery of the connections between papers.
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