<p>Older patients who are acutely ill are a vulnerable group who are often excluded from scientific research. Nevertheless, psychosocial and health-related changes pose a particular challenge for this group that must be understood as our society continues to age. Geriatric syndromes, which are disease-unspecific, may particularly affect disease management and well-being. This dataset contains longitudinal data on 666 geriatric patients recruited from geriatric wards and outpatient practices. At baseline, routine data containing geriatric assessments (evaluating cognition, mood, mobility, daily activities, nutrition) and medical information were collected, as well as data from questionnaires regarding demographics, geriatric syndromes, self-management, loneliness, quality of life (WHOQOL-Bref), self-efficacy and attitudes towards ageing. During telephone follow-ups after three and six months, survival was recorded, as well as changes in health, geriatric syndromes and healthcare usage. Measures of quality of life, self-management and views on ageing were repeated. The dataset can be used for a variety of analyses investigating the personal, social and institutional factors that influence health and well-being in older patients.</p>

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Self-Management of Geriatric Syndromes–longitudinal data on medical and psychosocial factors in older patients

  • Aline Schönenberg,
  • Konstantin G. Heimrich,
  • Rebecca Wientzek,
  • Natalie Berges,
  • Annika Sternkopf,
  • Antonia Schindler,
  • Tino Prell

摘要

Older patients who are acutely ill are a vulnerable group who are often excluded from scientific research. Nevertheless, psychosocial and health-related changes pose a particular challenge for this group that must be understood as our society continues to age. Geriatric syndromes, which are disease-unspecific, may particularly affect disease management and well-being. This dataset contains longitudinal data on 666 geriatric patients recruited from geriatric wards and outpatient practices. At baseline, routine data containing geriatric assessments (evaluating cognition, mood, mobility, daily activities, nutrition) and medical information were collected, as well as data from questionnaires regarding demographics, geriatric syndromes, self-management, loneliness, quality of life (WHOQOL-Bref), self-efficacy and attitudes towards ageing. During telephone follow-ups after three and six months, survival was recorded, as well as changes in health, geriatric syndromes and healthcare usage. Measures of quality of life, self-management and views on ageing were repeated. The dataset can be used for a variety of analyses investigating the personal, social and institutional factors that influence health and well-being in older patients.