Self-Management of Geriatric Syndromes–Longitudinal Data on Medical and Psychosocial Factors in Older Patients, 2023-2024

Prell, Tino and Schönenberg, Aline and Heimrich, Konstantin G. (2026). Self-Management of Geriatric Syndromes–Longitudinal Data on Medical and Psychosocial Factors in Older Patients, 2023-2024. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-858380

Data description (abstract)

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.

Data creators:

Creator Name	Affiliation	ORCID (as URL)
Prell Tino	University Hospital Jena, Germany	https://orcid.org/0000-0002-6423-3108
Schönenberg Aline	University Hospital Jena, Germany	https://orcid.org/0000-0003-2913-9535
Heimrich Konstantin G.	University Hospital Jena, Germany	https://orcid.org/0000-0001-9997-2202

Sponsors:

Bundesministerium für Bildung und Forschung

Topic classification:

Health
Psychology

Keywords:

GERIATRICS, QUALITY OF LIFE, PSYCHOLOGY, OLD AGE, LONELINESS

Grant holders:

Prof. Dr. med. Tino Prell

Date published:

30 Mar 2026 16:08

Last modified:

23 Apr 2026 17:18

Coverage and Methodology

Collection period:

Date from:	Date to:
1 February 2023	31 August 2024

Geographical area:

Germany, federal states of Thuringia and Saxony Anhalt

Country:

Germany (October 1990-)

Data collection method:

All patients were subjected to a preliminary screening process, which was based on a review of their existing medical records. Those patients who met the eligibility criteria were then approached by members of the study team, who provided them with detailed information about the study. For inpatients, hospitalized older adults were recruited from the geriatric wards of three hospitals in Saxony-Anhalt and Thuringia, Germany. Baseline recruitment took place between February 2023 and August 2024; with follow-up after 3 months (FU3) taking place between May 2023 and November 2024 and follow-up after 6 months (FU6) from August 2023 to February 2025.
At baseline, we combined study-specific questionnaires with routine data collected during hospital stay. All patients routinely received a comprehensive geriatric assessment performed by medical staff as part of hospital care; this includes assessments of cognition, depressive mood, mobility, daily activities and functional status, nutrition, and handgrip strength. In addition, we extracted medical information such as height and weight, diagnoses, and medication from medical records. The study-specific questionnaires contain information on geriatric syndromes (patient-reported), self-management, self-efficacy, social connectedness, QoL, views of ageing, and medication adherence. In addition, we assessed sociodemographic data and perception of geriatric syndromes using self-constructed questions.
Follow-up was performed via telephone, as the majority of patients were unable to return to the clinic for health-related reasons. Survival was the main variable of interest. In addition, we recorded rehospitalization, changes in health, healthcare usage, geriatric syndromes, depressive mood, functional status, self-management, VOA, and adherence.

Observation unit:

Individual

Kind of data:

Numeric, Text

Type of data:

Cohort and longitudinal studies

Resource language:

English, German

Access and Administration

Data sourcing, processing and preparation:

Several steps were performed to mitigate the risk of deanonymization, still we present personal and health data, leaving a minimal risk of deanonymisation. To minimize potential for identification, we - removed all personal information such as name, address, contact details or birth dates - present each patient under a randomly generated code - labelled the different recruitment centres as "HOSP1" "HOSP2" etc with no way for external persons to identify the hospitalts - grouped main diagnoses into 8 categories according to ICD - grouped education into three levels - do not report individual diagnoses or medication - do not report dates of admission or discharge

Rights owners:

Name	Affiliation	ORCID (as URL)
Prell Tino	University Hospital Jena, Germany	https://orcid.org/0000-0002-6423-3108

Contact:

Name	Email	Affiliation	ORCID (as URL)
Schönenberg, Aline	aline.schoenenberg@med.uni-jena.de	University Hospital Jena, Germany	https://orcid.org/0000-0003-2913-9535

Notes on access:

The Data Collection is available for download to users registered with the UK Data Service. All requests are subject to the permission of the data owner or his/her nominee. Please email the contact person for this data collection to request permission to access the data, explaining your reason for wanting access to the data, then contact our Access Helpdesk.

Publisher:

UK Data Service

Last modified:

23 Apr 2026 17:18