Using decision tree analysis to identify population groups at risk of subjective unmet need for assistance with activities of daily living.

Jaehn, Philipp; Fügemann, Hella; Gödde, Kathrin; Holmberg, Christine

Jaehn, Philipp; Fügemann, Hella; Gödde, Kathrin; Holmberg, Christine.

Afiliação

Jaehn P; Institute of Social Medicine and Epidemiology, Brandenburg Medical School, Brandenburg an der Havel, Germany.
Fügemann H; Faculty of Health Sciences Brandenburg, Brandenburg Medical School, Potsdam, Germany.
Gödde K; Institute of Social Medicine and Epidemiology, Brandenburg Medical School, Brandenburg an der Havel, Germany.
Holmberg C; Institute of Public Health, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.

BMC Geriatr ; 23(1): 543, 2023 09 07.

Article em En | MEDLINE | ID: mdl-37674137

Assuntos

Atividades Cotidianas; Identidade de Gênero; Humanos; Feminino; Masculino; Estudos Transversais; Grupos Populacionais; Dor; Árvores de Decisões

Palavras-chave

Activities of daily living; Conditional inference trees; Resource allocation; Social care; Unmet need for assistance; Vulnerable groups

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Atividades Cotidianas / Identidade de Gênero Tipo de estudo: Etiology_studies / Health_economic_evaluation / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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