Evidence map›Paper›PMID 25964946›Full record

ArticleFrontiers in public health2015

Healthcare cost savings estimator tool for chronic disease self-management program: a new tool for program administrators and decision makers.

SangNam Ahn, Matthew Lee Smith, Mary Altpeter, Lindsey Post, Marcia G Ory

Abstract read
In one paragraph

Article in Frontiers in public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

SangNam AhnDivision of Health Systems Management and Policy, School of Public Health, The University of Memphis , Memphis, TN , USA ; Department of Health Promotion and Community Health Sciences, Texas A&M University Health Science Center, School of Public Health , College Station, TX , USA.
Matthew Lee SmithDepartment of Health Promotion and Behavior, College of Public Health, The University of Georgia , Athens, GA , USA.
Mary AltpeterCenter for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA.
Lindsey PostDivision of Health Systems Management and Policy, School of Public Health, The University of Memphis , Memphis, TN , USA.
Marcia G OryDepartment of Health Promotion and Community Health Sciences, Texas A&M University Health Science Center, School of Public Health , College Station, TX , USA.

Funding

Health Maintenance Consortium Resourece CenterR01HD047143 · NICHD · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI ORY, MARCIA G. · 2004 to 2008
$2.5M
NICHD NIH HHS R01 HD047143
6 · The paper itself

Abstract

Chronic disease self-management education (CDSME) programs have been delivered to more than 100,000 older Americans with chronic conditions. As one of the Stanford suite of evidence-based CDSME programs, the chronic disease self-management program (CDSMP) has been disseminated in diverse populations and settings. The objective of this paper is to introduce a practical, universally applicable tool to assist program administrators and decision makers plan implementation efforts and make the case for continued program delivery. This tool was developed utilizing data from a recent National Study of CDSMP to estimate national savings associated with program participation. Potential annual healthcare savings per CDSMP participant were calculated based on averted emergency room visits and hospitalizations. While national data can be utilized to estimate cost savings, the tool has built-in features allowing users to tailor calculations based on their site-specific data. Building upon the National Study of CDSMP's documented potential savings of $3.3 billion in healthcare costs by reaching 5% of adults with one or more chronic conditions, two heuristic case examples were also explored based on different population projections. The case examples show how a small county and large metropolitan city were not only able to estimate healthcare savings ($38,803 for the small county; $732,290 for the large metropolitan city) for their existing participant populations but also to project significant healthcare savings if they plan to reach higher proportions of middle-aged and older adults. Having a tool to demonstrate the monetary value of CDSMP can contribute to the ongoing dissemination and sustainability of such community-based interventions. Next steps will be creating a user-friendly, internet-based version of Healthcare Cost Savings Estimator Tool: CDSMP, followed by broadening the tool to consider cost savings for other evidence-based programs.

Indexed as

chronic diseasechronic disease self-management programhealthcare costhealthcare cost savings estimator toolreturn on investment

Identifiers

PMID25964946
PMCPMC4410329

What OpenQuestion holds

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LicenceCC BY
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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.