| Literature DB >> 34401598 |
A Thiel1,2, G Sudeck1,2, A Niess3,2, G W Eschweiler4, D Altmeier1,2, D Haigis3,2, R Pomiersky1,2, J Schmid5, A Frahsa1,2.
Abstract
INTRODUCTION: Physical activity (PA) is a major contributor to healthy aging. However, physical inactivity is prevalent among the elderly in Germany, particularly in institutionalized settings such as nursing homes. This paper aims to describe the study objectives, design, methods, assessment types, collection schedules and considerations for analyzing the data within the BaSAlt study on facilitators and barriers for PA promotion in nursing homes.Entities:
Keywords: Counseling; Health promotion; Nursing homes; Older adults; Organizational change; Physical activity
Year: 2021 PMID: 34401598 PMCID: PMC8350408 DOI: 10.1016/j.conctc.2021.100828
Source DB: PubMed Journal: Contemp Clin Trials Commun ISSN: 2451-8654
Fig. 1Schematic Overview of the BaSAlt study modules over time, for one nursing home.
Overview of assessment domains, methods, and instruments in BaSAlt Setting-level analysis.
| Measurement points | T1 | T2 | T3 | |
|---|---|---|---|---|
| PA patterns and interactions | Systematic guideline-based observation [ | x | (x) | |
| Ethnographic field notes | x | |||
| Sensor-based assessment of PA patterns (GAITRite®) [ | x | x | x | |
| PA-related organizational structure and culture | Semi-structured qualitative interviews (executive staff) | x | ||
| Focus groups on options and barriers for PA | x | |||
| Document analysis (mission statement, care concept etc.) | x | x | ||
| Infrastructure audit; adapted from S-SCEAM und EIM | x | x | ||
| Ethnographic field notes | x | |||
| PA climate | Semi-structured qualitative interviews (executive staff, staff) | x | ||
| Photovoice Documentation | x | |||
| Survey study (staff, significant others, external service providers); PACE [ | x | |||
| Ethnographic field notes | x | |||
| Process and outcome evaluation workshop | x | |||
| Individual Assessment: physical activity, motivational-affective PA determinants and subjective health status | ||||
| Demographic data | Demographic questionnaire | x | x | x |
| Physical Activity | Accelerometry (ActiGraph, Pensacola, FL) | x | x | x |
| Former participation and future interest in structured physical activity offers and socially triggered activities | x | x | x | |
| Retrospective activity mapping [ | x | |||
| Activity restriction due to fear of falling | Single-Item-Scale (24, adapted version) | x | x | x |
| Motivation | Bernese motive and goal inventory; BMZI ([ | x | x | |
| Self-Efficacy | Self- Efficacy for Exercise Scale; SEES ([ | x | x | x |
| Well-Being | WHO-5 Well-Being Index [ | x | x | x |
| Health-related quality of life | European Quality of Life 5 Dimensions 3 Level Versiona; EQ-5D-3L [ | x | x | x |
| Geriatric Assessment | ||||
| Demographic data and morbidity statu | Age, sex, degree of care, number of falls, weight loss, and recording of diseases in categories (inspection of patient files) | x | x | x |
| Anthropometric data | Size (in m), weight (in kg), and BMI (in kg/m2) | x | x | x |
| Body composition | Bioelectrical impedance analysis (impedance vector analyzer BIA 101 BIVA, SMT medical, Germany), measurement of ASMM (in kg) and SMI (in kg/m2) [ | x | x | x |
| Handgrip strength | Dynamometer (hydraulic hand force dynamometer SH5001, Saehan, Korea), maximum hand force by isometric test (in kg) [ | x | x | x |
| Physical functioning | Short Physical Performance Battery; SPPB, walking speed over 4 m walking distance (in m/s) [ | x | x | x |
| Cognition | Mini-Mental State Examination; MMSE [ | x | x | x |
| Activities of daily living | Barthel Index [ | x | x | x |
| Subjective sarcopenia | Questionnaire for subjective self-assessment to determine sarcopenia; SARC-F [ | x | x | x |
| Nutrition status | Mini Nutritional Assessment; MNA-SF®, subjective assessment to determine malnutrition [ | x | x | x |