The increasing life expectancy and global aging population necessitate changes in long-term gerontological services based on Person-Centred Care approaches. This study aims to improve Person-Centred Care in geriatric centers through meaningful activities and the role of occupational therapists and direct care professionals in developing these activities. A descriptive cross-sectional quasi-experimental design was proposed, with 10 participants.
Background: Increasing life expectancy means that the ageing of populations globally is on the rise. It is therefore important to promote changes in long-term gerontological services based on Person-Centred Care approaches, in which meaningful occupation serves as a basis and is supported by appropriate professional support, such as the occupational therapist and the direct care professional. Objective: The study aims to analyze the needs, quality of life, and coping strategies of terminally ill patients over five months, as well as burnout and dehumanization among caregivers and healthcare staff. Methods: This study examines factors influencing the quality of life (QOL) of terminally ill patients and the burnout and dehumanization of caregivers and health professionals using a mixed methodology. The study proposes a 3-time longitudinal design, with evaluations at baseline, 2.5 months, and 5 months, to measure the impact of an intervention on terminally ill patients and their families, focusing on health status, quality of life, and emotional well-being.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Enrollment
166
The study proposes a 3-time longitudinal design, with evaluations at baseline, 2.5 months, and 5 months, to measure the impact of an intervention on terminally ill patients and their families, focusing on health status, quality of life, and emotional well-being.
Olalla Saiz Vazquez
Burgos, Burgos, Spain
Qualitative analysis
structured interviews: The coding system for the qualitative information will be carried out using the Atlas-Ti content analysis program. Atlas-Ti allows exporting a matrix to SPSS format, as a quantitative data matrix composed of the set of ideas, identified by the code of each interview, the idea number and its corresponding code for affected person and family member. In this way, the frequencies of the different categories can be analyzed.
Time frame: 5 MONTHS
Multilevel analysis
daily records: Multilevel analyses will be performed by applying Mix Models with maximum likelihood (ML) estimation.
Time frame: 5 MONTHS
Student's t-tests
telematic records: Student's t-tests for independent samples and ANOVAs/ANCOVAs will be applied to analyze differences in the study variables (needs, QOL, coping strategies) according to sociodemographic (sex, age, educational level) and clinical variables (type of disease, type of treatment or dependency status).
Time frame: 5 MONTHS
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