DISPARITIES AMONG LONG-TERM AND SHORT-TERM USERS OF MEALS ON WHEELS SERVICES

Abstract Home-delivered meal programs for older adults, commonly known as Meals on Wheels (MOW) services, provide nutritional benefits and are valued by clients, but most studies capture use over a short period of time, typically a few months. This study is the first to focus on duration of use and identify disparities in the long-term and short-term MOW users. It uses 35,756 observations from the 2013-2022 National Health and Aging Trends Study (NHATS), an annual survey of Medicare enrollees aged 65+. A fixed effect multinomial logit model, with complex survey design, predicts the probabilities of being a short-term or long-term MOW user across lagged sociodemographic and health characteristics. Short-term users are defined as reporting MOW use once (12.4% of the sample) and the long-term users indicate use for 2+ years (8.6%). Persons who are Black are statistically more likely to be long-term MOW users (13.7%) than non-Black (8.0%), similarly for those on Medicaid (15.7%), having 2+ instrumental activity of daily living limitations (10.9%), and pre-frail (9.5%). In contrast, no racial or health differences are found for short-term MOW users, except for those on Medicaid (18.7%). These results identify the populations more likely to be long-term MOW users, but further research is needed to determine if prolonged MOW use is an indicator of sustained independence or a consequence of barriers to additional services. This study helps to better understand the role played by MOW and the federal Older Americans Act Nutrition Program, which funds those services, at serving diverse populations.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2024-12-01
DOI
https://doi.org/10.1093/geroni/igae098.4276
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DISPARITIES AMONG LONG-TERM AND SHORT-TERM USERS OF MEALS ON WHEELS SERVICES

Sarah Walsh, Jennifer Chubinski, France Weaver
Innovation in Aging
Urban and Freight Transport Logistics
article

DISPARITIES AMONG LONG-TERM AND SHORT-TERM USERS OF MEALS ON WHEELS SERVICES

Sarah Walsh, Jennifer Chubinski, France Weaver
article en

Abstract

Abstract Home-delivered meal programs for older adults, commonly known as Meals on Wheels (MOW) services, provide nutritional benefits and are valued by clients, but most studies capture use over a short period of time, typically a few months. This study is the first to focus on duration of use and identify disparities in the long-term and short-term MOW users. It uses 35,756 observations from the 2013-2022 National Health and Aging Trends Study (NHATS), an annual survey of Medicare enrollees aged 65+. A fixed effect multinomial logit model, with complex survey design, predicts the probabilities of being a short-term or long-term MOW user across lagged sociodemographic and health characteristics. Short-term users are defined as reporting MOW use once (12.4% of the sample) and the long-term users indicate use for 2+ years (8.6%). Persons who are Black are statistically more likely to be long-term MOW users (13.7%) than non-Black (8.0%), similarly for those on Medicaid (15.7%), having 2+ instrumental activity of daily living limitations (10.9%), and pre-frail (9.5%). In contrast, no racial or health differences are found for short-term MOW users, except for those on Medicaid (18.7%). These results identify the populations more likely to be long-term MOW users, but further research is needed to determine if prolonged MOW use is an indicator of sustained independence or a consequence of barriers to additional services. This study helps to better understand the role played by MOW and the federal Older Americans Act Nutrition Program, which funds those services, at serving diverse populations.

Innovation in AgingVol. 8(Supplement_1)
West Virginia University (US), Eastern Michigan University (US), Xavier University (US), Michigan United (US)
Openalex Percentile: Top 73%
Urban and Freight Transport Logistics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.