Construct Validity of the Mealtime Scan: A Secondary Data Analysis of the Making Most of Mealtimes (M3) Study

J Nutr Gerontol Geriatr. 2018 Apr-Jun;37(2):82-104. doi: 10.1080/21551197.2018.1461166. Epub 2018 May 21.

Abstract

Long-term care (LTC) physical and psychosocial mealtime environments have been inconsistently assessed due to the lack of a standardized measure. The purpose of this study was to examine the construct validity of a new standardized observational measure, the Mealtime Scan (MTS), using the Making Most of Mealtimes data collected on 639 residents in 82 dining rooms in 32 LTC homes. The MTS includes physical, social, and person-centered care summary scales scored from 1 to 8. Mean ratings on these summary scales were moderate for physical (5.6 SD 0.9), social (5.0 SD 0.9), and person-centered care (PCC; 5.5 SD 0.8). Regression analyses determined which items within the MTS were associated with these summary scales: physical - music (B = 0.27, p = 0.04), number of staff passing food (B = -0.11, p = 0.03), number of residents (B = -0.03, p = 0.01); social - social sound (B = 0.31 p < 0.0001), number of residents requiring eating assistance (B = 0.11, p = 0.02); PCC - lighting (B = 0.01 p = 0.04), and total excess noise (B = 0.05, p < 0.0001). The Mealtime Relational Care Checklist (M-RCC) was associated positively with ratings on all three summary scales. Correlations revealed that the MTS summary scales were associated with other constructs: Dining Environment Audit Protocol functionality scale, resident and dining room level M-RCC, Mini Nutritional Assessment- Short Form, and resident Cognitive Performance Scale. These results demonstrate that the MTS summary scales exhibit construct validity, as the ratings were associated with expected observed mealtime characteristics and correlated with dining room and resident level constructs in anticipated directions.

Keywords: Dining; long-term care; measurement; validity.

Publication types

  • Validation Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Canada
  • Data Analysis*
  • Eating* / psychology
  • Environment
  • Female
  • Homes for the Aged
  • Humans
  • Long-Term Care / methods*
  • Male
  • Meals*
  • Nutrition Assessment
  • Nutritional Status
  • Personnel Staffing and Scheduling
  • Psychology
  • Reproducibility of Results