older people living in long-term care homes
Conditions
Interventions
Group 1: Technology-assisted biography work to stimulate ‘Digital Geographic Storytelling’ in long-term care homes in the Rhine Main region in Germany
Sponsors
Katholische Hochschule Mainz, Fachbereich Gesundheit & Pflege
Eligibility
Sex/Gender
All
Age
60 Years to No maximum
Inclusion criteria
Inclusion criteria: Older adults living in long-term care homes with only mild cognitive impairment (score of = 20 on the Mini-Mental Status Test (MMST; Folstein et al. Mini-Mental Status Test (MMST; Folstein et al., 1990)) and only first signs of depression (score of = 8 in the Geriatric Depression Scale (GDS; Sheikh & Yesavage, 1986)). Only participants with a sufficient level of proficiency in the German language will be included.
Exclusion criteria
Exclusion criteria: Those who do not meet the previously outlined inclusion criteria will be excluded from participation.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The quality of life and depression of long-term care home residents will be assessed at three measurement points (t0, t1 and t2) using two questionnaires: the WHO Quality of Life questionnaires (WHOQOL-OLD and WHOQOL-BREF; Conrad et al., 2016) and the Geriatric Depression Scale (GDS; Sheikh & Yesavage, 1986). The stability of the effects will be analysed by comparison of t1 to t2. The analysis of intra-individual changes, inter-individual differences and group variances is conducted using non-parametric and parametric methods. Metric variables are analysed according to their distribution characteristics using either a t-test for linked samples or a Wilcoxon test. | — |
Secondary
| Measure | Time frame |
|---|---|
| Secondary outcomes include the Rosenberg Self-Esteem Scale (SES; von Collani & Herzberg, 2003) and the Life Satisfaction Index A (LSI; German version, Wiendieck, 1970), both assessed at all three measurement points (t0, t1 and t2). The data obtained from the semi-structured interviews will be analysed following Mayring (2015). The results of the System Usability Scale (SUS; Rummel et al., 2013), which is used to measure satisfaction with the end-user product, as well as the results of questionnaires on feasibility, usability and acceptability, will be evaluated through descriptive analysis. Percentage scores will be calculated for protocol fidelity checklists. Kappa statistics will be calculated to determine inter- and intra-rater reliability. | — |
Countries
Germany
Contacts
Public ContactAlmut Plath
Katholische Hochschule Mainz, Fachbereich Gesundheit & Pflege
Outcome results
None listed