Evidence map›Paper›PMID 30001250›Full record

ArticleMedical care2019

A New Data Resource to Examine Meals on Wheels Clients' Health Care Utilization and Costs.

Mingyang Shan, Roee Gutman, David Dosa, Pedro L Gozalo, Jessica A Ogarek, Sarah Kler, Kali S Thomas

Open access · greenAbstract read
In one paragraph

Article in Medical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Mingyang ShanBrown University School of Public Health.
Roee GutmanBrown University School of Public Health.
David DosaBrown University School of Public Health.
Pedro L GozaloBrown University School of Public Health.
Jessica A OgarekBrown University School of Public Health.
Sarah KlerBrown University School of Public Health.
Kali S ThomasBrown University School of Public Health.
John Brown University · USProvidence College · USUnited States Department of Veterans Affairs · US

Funding

HSRD VA CDA 14-422
6 · The paper itself

Abstract

backgroundAccess to social services (eg, nutrition) can impact older adults' health care utilization and health outcomes. However, data documenting the relationship between receiving services and objective measures of health care utilization remain limited.

objectivesTo link Meals on Wheels (MOW) program data to Medicare claims to enable examination of clients' health and health care utilization and to highlight the utility of this linked dataset. RESEARCH

designUsing probabilistic linking techniques, we matched MOW client data to Medicare enrollment and claims data. Descriptive information is presented on clients' health and health care utilization before and after receiving services from MOW. SUBJECTS: In total, 29,501 clients were from 13 MOW programs. MEASURES: Clients' demographics, chronic conditions, and hospitalization, emergency department (ED), and nursing home (NH) utilization rates.

resultsWe obtained a one-to-one link for 25,279 clients. Among these, 14,019 were Medicare fee-for-service (FFS) beneficiaries and met inclusion criteria for additional analyses. MOW clients had high rates of chronic conditions (eg, almost 90% of FFS clients were diagnosed with hypertension, compared with 63% of FFS beneficiaries in their communities). In the 6 months before receiving MOW services, 31.6% of clients were hospitalized, 24.9% were admitted to the ED and 13% received care in a NH. In the 6 months after receiving meals, 24.2% were hospitalized, 19.3% were admitted to the ED, and 9.5% received care in a NH.

conclusionsLinking MOW data to Medicare claims has the potential to shed additional light on the relationships among social services, health status, health care use, and benefits to clients' well-being.

Indexed as

Costs and Cost AnalysisAgedAged, 80 and overFee-for-Service PlansFemaleFood ServicesHospitalizationHumansInformation Storage and RetrievalInsurance Claim ReviewMaleMedicarePatient Acceptance of Health CareUnited States

Identifiers

PMID30001250
PMCPMC6349554
OpenAlexW2883463373

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.