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Article: Multimorbidity patterns in adult day health center clients with dementia: a latent class analysis

TitleMultimorbidity patterns in adult day health center clients with dementia: a latent class analysis
Authors
KeywordsAdult Day Care
Alzheimer's Disease
Latent Class Analysis
Multiple Chronic Conditions
Issue Date2022
Citation
BMC Geriatrics, 2022, v. 22, n. 1, article no. 514 How to Cite?
AbstractBackground: Persons living with dementia (PLWD) in adult day centers (ADCs) represent a complex and vulnerable population whose well-being is at risk based on numerous factors. Greater knowledge of the interaction between dementia, chronic conditions, and social determinants of health would enable ADCs to identify and target the use of their resources to better support clients in need of in-depth intervention. The purpose of this paper is to (a) classify PLWD in ADCs according to their level of medical complexity and (b) identify the demographic, functional, and clinical characteristics of those with the highest degree of medical complexity. Methods: This was a secondary data analysis of 3052 clients with a dementia diagnosis from 53 ADCs across the state of California between 2012 and 2019. The most common diagnosis codes were organized into 28 disease categories to enable a latent class analysis (LCA). Chi-square test, analysis of variance (ANOVA), and Kruskal-Wallis tests were conducted to examine differences among latent classes with respect to clinical and functional characteristics. Results: An optimal 4-class solution was chosen to reflect chronic conditions among PLWD: high medical complexity, moderate medical complexity, low medical complexity, and no medical complexity. Those in the high medical complexity were taking an average of 12.72 (+/− 6.52) medications and attending the ADC an average of 3.98 days (+/− 1.31) per week—values that exceeded any other class. They also experienced hospitalizations more than any other group (19.0%) and met requirements for the nursing facility level of care (77.4%). In addition, the group experienced the greatest frequency of bladder (57.5%) and bowel (15.7%) incontinence. Conclusions: Our results illustrate a high degree of medical complexity among PLWD in ADCs. A majority of PLWD not only have multimorbidity but are socially disadvantaged. Our results demonstrate that a comprehensive multidisciplinary approach that involves community partners such as ADCs is critically needed that addresses functional decline, loneliness, social isolation, and multimorbidity which can negatively impact PLWD.
Persistent Identifierhttp://hdl.handle.net/10722/349737

 

DC FieldValueLanguage
dc.contributor.authorSadarangani, Tina-
dc.contributor.authorPerissinotto, Carla-
dc.contributor.authorBoafo, Jonelle-
dc.contributor.authorZhong, Jie-
dc.contributor.authorYu, Gary-
dc.date.accessioned2024-10-17T07:00:28Z-
dc.date.available2024-10-17T07:00:28Z-
dc.date.issued2022-
dc.identifier.citationBMC Geriatrics, 2022, v. 22, n. 1, article no. 514-
dc.identifier.urihttp://hdl.handle.net/10722/349737-
dc.description.abstractBackground: Persons living with dementia (PLWD) in adult day centers (ADCs) represent a complex and vulnerable population whose well-being is at risk based on numerous factors. Greater knowledge of the interaction between dementia, chronic conditions, and social determinants of health would enable ADCs to identify and target the use of their resources to better support clients in need of in-depth intervention. The purpose of this paper is to (a) classify PLWD in ADCs according to their level of medical complexity and (b) identify the demographic, functional, and clinical characteristics of those with the highest degree of medical complexity. Methods: This was a secondary data analysis of 3052 clients with a dementia diagnosis from 53 ADCs across the state of California between 2012 and 2019. The most common diagnosis codes were organized into 28 disease categories to enable a latent class analysis (LCA). Chi-square test, analysis of variance (ANOVA), and Kruskal-Wallis tests were conducted to examine differences among latent classes with respect to clinical and functional characteristics. Results: An optimal 4-class solution was chosen to reflect chronic conditions among PLWD: high medical complexity, moderate medical complexity, low medical complexity, and no medical complexity. Those in the high medical complexity were taking an average of 12.72 (+/− 6.52) medications and attending the ADC an average of 3.98 days (+/− 1.31) per week—values that exceeded any other class. They also experienced hospitalizations more than any other group (19.0%) and met requirements for the nursing facility level of care (77.4%). In addition, the group experienced the greatest frequency of bladder (57.5%) and bowel (15.7%) incontinence. Conclusions: Our results illustrate a high degree of medical complexity among PLWD in ADCs. A majority of PLWD not only have multimorbidity but are socially disadvantaged. Our results demonstrate that a comprehensive multidisciplinary approach that involves community partners such as ADCs is critically needed that addresses functional decline, loneliness, social isolation, and multimorbidity which can negatively impact PLWD.-
dc.languageeng-
dc.relation.ispartofBMC Geriatrics-
dc.subjectAdult Day Care-
dc.subjectAlzheimer's Disease-
dc.subjectLatent Class Analysis-
dc.subjectMultiple Chronic Conditions-
dc.titleMultimorbidity patterns in adult day health center clients with dementia: a latent class analysis-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1186/s12877-022-03206-0-
dc.identifier.pmid35733122-
dc.identifier.scopuseid_2-s2.0-85132543842-
dc.identifier.volume22-
dc.identifier.issue1-
dc.identifier.spagearticle no. 514-
dc.identifier.epagearticle no. 514-
dc.identifier.eissn1471-2318-

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