[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-426063-105":59,"doc-detail-426063-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","testing-a-structural-equation-model-of-nursing-home-organizational-characteristics","TESTING A STRUCTURAL EQUATION MODEL OF NURSING HOME ORGANIZATIONAL CHARACTERISTICS","","Nursing home organizational characteristics, including staffing, profit status, and community size, shape care quality and are associated with resident outcomes such as pressure injury prevalence, rehospitalization, morbidity, and mortality. Guided by the Social Ecological Model and Donabedian’s Structure-Process-Outcome framework, the study tested a measurement model of operational and care delivery latent factors using cross-sectional secondary data from 55 communities in Maryland and Pennsylvania. Structural equation modeling in Mplus showed excellent fit and identified key indicators for both factors.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/testing-a-structural-equation-model-of-nursing-home-organizational-characteristics/426063/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/testing-a-structural-equation-model-of-nursing-home-organizational-characteristics/426063.png","ImageObject",300,407,{"name":92,"@type":93},"Rizky","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-17","2026-09-28",true,{"@type":102,"interactionType":103,"userInteractionCount":14},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What nursing home factors were examined in the study?","Question",{"text":112,"@type":113},"The study assessed operational characteristics (profit status, size, percent Medicaid) and care delivery indicators based on staffing minutes per resident per day for RN, LPN, and CNA.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was the measurement model tested?",{"text":117,"@type":113},"Cross-sectional secondary data from 55 nursing home communities in Maryland and Pennsylvania were analyzed using structural equation modeling with Mplus.",{"name":119,"@type":110,"acceptedAnswer":120},"What did the results show about model fit and key indicators?",{"text":121,"@type":113},"The model demonstrated excellent fit (χ²/df=0.798, TLI=1.00, RMSEA=0.000). CNA staffing was a significant indicator for the Care Delivery factor, while percent Medicaid and profit status were significant indicators for the Operational factor.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},426063,1792217937,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":14,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":14,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":24},962085564807,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","Innovation in Aging, 2025, Vol. 9, No. S2 1149  \nAbstract citation ID: igaf122.3854  \nTESTING A STRUCTURAL EQUATION MODEL OF NURSING HOME ORGANIZATIONAL  \nCHARACTERISTICS  \nSorah Levy1, Sarah Holmes2, Barbara Resnick1, Kelly Doran3, Elizabeth Galik2, and Tara McMullen4, 1. University of Maryland, Baltimore, Maryland, United States, 2. University of Maryland School of Nursing, Baltimore, Maryland, United  \n1150 Innovation in Aging, 2025, Vol. 9, No. S2  \nStates, 3. University of Maryland, School of Nursing, Baltimore, Maryland, United States, 4. Centers for Medicare & Medicaid Services, Centers for Medicare and Medicaid Services, Maryland, United States  \nNursing home (NH) organizational characteristics such as staffing, profit status, and community size are important contributors to the quality of care delivered. These organizational characteristics are linked to resident outcomes such as the prevalence of pressure injuries, rehospitalization, morbidity, and mortality.  \nGuided by the Social Ecological Model and Donabedian’s Structure-Process-Outcome framework, this study tested a comprehensive measurement model of NH organizational factors.  \nThe hypothesized measurement model specified two latent factors: Operational (profit status, size, percent Medicaid) and Care Delivery (minutes per resident per day RN, LPN, CNA) . This cross-sectional secondary data analysis included 55 NH communities in Maryland and Pennsylvania using data from the Evidence Integration Triangle for Behavioral and Psychological Symptoms of Dementia (EIT-4-BPSD) combined with data from LTCFocus. Structural equation modeling using Mplus was used to test the model. Fit statistics include χ² /df, Tucker Lewis Index (TLI), and root mean square error of approximation (RMSEA) .  \nThe model demonstrated excellent fit (χ² /df = 0.798, TLI = 1.00, RMSEA = 0.000) . CNA staffing was a significant indicator for the Care Delivery factor (β = 0.565, p = 0.008), and percent Medicaid (β = 0.950, p \u003C 0.001) and profit status (β = 0.485, p \u003C 0.001) were significant indicators of the Operational factor.  \nThis study provides empirical support for a theoretically based measurement model of NH organizational factors. Future research should explore the impact of NH organizational factors on resident outcomes. Findings may also inform policy and operating decisions aimed at strengthening infrastructure to support quality care.","cbCaimF66K5s2wns","https://ap.wps.com/l/cbCaimF66K5s2wns","pdf",1985284,"English","# Abstract\n## Organizational characteristics and resident outcomes\n## The measurement model and latent factors\n## Methods and model fit\n## Key indicators and implications","[{\"question\":\"What nursing home factors were examined in the study?\",\"answer\":\"The study assessed operational characteristics (profit status, size, percent Medicaid) and care delivery indicators based on staffing minutes per resident per day for RN, LPN, and CNA.\"},{\"question\":\"How was the measurement model tested?\",\"answer\":\"Cross-sectional secondary data from 55 nursing home communities in Maryland and Pennsylvania were analyzed using structural equation modeling with Mplus.\"},{\"question\":\"What did the results show about model fit and key indicators?\",\"answer\":\"The model demonstrated excellent fit (χ²/df=0.798, TLI=1.00, RMSEA=0.000). CNA staffing was a significant indicator for the Care Delivery factor, while percent Medicaid and profit status were significant indicators for the Operational factor.\"}]","TESTING A STRUCTURAL EQUATION MODEL OF NURSING HOME ORGANIZATIONAL CHARACTERISTICS | PDF",1790639258]