Evidence map›Paper›PMID 32801305›Full record

ReviewEuropean journal of clinical nutrition2021

Health economic benefits from optimized meal services to older adults-a literature-based synthesis.

Jørgen Dejgård Jensen

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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

1 author.

Jørgen Dejgård JensenDepartment of Food and Resource Economics, University of Copenhagen, Rolighedsvej 25, DK-1958 Frederiksberg C, København, Denmark. jorgen@ifro.ku.dk.ORCID http://orcid.org/0000-0002-0141-7225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malnutrition among older adults causes health problems and economic costs. Prevention of malnutrition through meal service can reduce such costs. This study estimates potential health economic benefits to be generated through meal service to home-dwelling older adults. The study contains three components: (1) systems analysis describing the relationship between meal service, nutritional status, health risk, and health-related costs, focusing on older adults, (2) a series of literature reviews to quantify the identified elements in each stage-subject combination: (i) meal service impact on nutrition status of older adults, (ii) associations between nutrition status and health risks, (iii) health care resource needs associated with these health risks, and (3) a model synthesis of literature findings to estimate the expected economic benefit of improved health status derived from meal service enrollment, using Denmark as an example. Expected economic benefits in terms of saved direct and indirect health care costs and improved quality-of-life was estimated at an amount of €307 per year per individual enrolled, of which direct health care cost savings constituted €75, while value of improved quality-of-life and reduced mortality constituted the rest. The average health economic benefit from enrolling older adults into meal service is likely to decrease with the number of subscribers. Findings like these are important to take into consideration, when making policy decisions regarding size of the meal service capacity, although it should be noted that the presented estimates are based on a number of assumptions of which some are subject to uncertainty.

Indexed as

Health Care CostsMalnutritionAgedCost-Benefit AnalysisHealth ResourcesHumansMealsNutritional Status

Identifiers

What OpenQuestion holds

Textmetadata
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.