ArticleSao Paulo medical journal = Revista paulista de medicina2014
Cluster analysis to identify elderly people's profiles: a healthcare strategy based on frailty characteristics.
Article in Sao Paulo medical journal = Revista paulista de medicina, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed, 17 citations in OpenAlex.
- The multifinger force deficit: A protocol to detect incipient cognitive decline.Journal of the American Geriatrics Society · 2022Article
- Group-tailored feedback on online mental health screening for university students: using cluster analysis.BMC primary care · 2022Observational
- Heterogeneity of Characteristics among Housing Adaptation Clients in Sweden--Relationship to Participation and Self-Rated Health.International journal of environmental research and public health · 2015Article
- Patterns of instrumental activities of daily living between community-dwelling older adults.Dementia & neuropsychologiaArticle
- Sickle cell anemia: hierarchical cluster analysis and clinical profile in a cohort in Brazil.Hematology, transfusion and cell therapyArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
CONTEXT AND
objectivesThe new social panorama resulting from aging of the Brazilian population is leading to significant transformations within healthcare. Through the cluster analysis strategy, it was sought to describe the specific care demands of the elderly population, using frailty components. DESIGN AND
settingCross-sectional study based on reviewing medical records, conducted in the geriatric outpatient clinic, Hospital de Clínicas, Universidade Estadual de Campinas (Unicamp).
methodsNinety-eight elderly users of this clinic were evaluated using cluster analysis and instruments for assessing their overall geriatric status and frailty characteristics.
resultsThe variables that most strongly influenced the formation of clusters were age, functional capacities, cognitive capacity, presence of comorbidities and number of medications used. Three main groups of elderly people could be identified: one with good cognitive and functional performance but with high prevalence of comorbidities (mean age 77.9 years, cognitive impairment in 28.6% and mean of 7.4 comorbidities); a second with more advanced age, greater cognitive impairment and greater dependence (mean age 88.5 years old, cognitive impairment in 84.6% and mean of 7.1 comorbidities); and a third younger group with poor cognitive performance and greater number of comorbidities but functionally independent (mean age 78.5 years old, cognitive impairment in 89.6% and mean of 7.4 comorbidities).
conclusionThese data characterize the profile of this population and can be used as the basis for developing efficient strategies aimed at diminishing functional dependence, poor self-rated health and impaired quality of life.
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