Construct validity of the Dining Environment Audit Protocol: a secondary data analysis of the Making Most of Mealtimes (M3) study
Autor: | Veronique Boscart, Heather H. Keller, Natalie Carrier, Christina Lengyel, Sabrina Iuglio, Habib Chaudhury, J.M. Morrison, Susan E. Slaughter |
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Přispěvatelé: | University of Manitoba |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Research design
Gerontology Canada Level design lcsh:Geriatrics Residential Facilities DEAP 03 medical and health sciences Cognition 0302 clinical medicine Humans Medicine 030212 general & internal medicine Meals Aged Retrospective Studies business.industry Construct validity Secondary data Long-Term Care Checklist lcsh:RC952-954.6 Nutrition Assessment Summative assessment Research Design Scale (social sciences) Epidemiological Monitoring Environment Design Female Geriatrics and Gerontology business 030217 neurology & neurosurgery Research Article |
Zdroj: | BMC Geriatrics, Vol 18, Iss 1, Pp 1-13 (2018) BMC Geriatrics |
ISSN: | 1471-2318 |
DOI: | 10.1186/s12877-018-0708-4 |
Popis: | Research has demonstrated the importance of physical environments at mealtimes for residents in long term care (LTC). However, a lack of a standardized measurement to assess physical dining environments has resulted in inconsistent research with potentially invalid and unreliable conclusions. The development of a standardized, construct valid instrument that assesses dining rooms is imperative to systematically examine physical environments in LTC. The purpose of this study was to determine the construct validity of the new Dining Environment Audit Protocol (DEAP) tool. Secondary data collected from the Making Most of Mealtimes (M3) study was used for this analysis. Data were collected in 32 long term care homes, which included 82 dining rooms and 639 residents. A variety of resident and dining room level constructs were compared to the summative scales found on the DEAP using Spearman correlations and Student t-tests. A regression analysis identified individual characteristics assessed with DEAP that were associated with the summative scales of homelikeness and functionality. Regression analysis (p |
Databáze: | OpenAIRE |
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