Evidence map›Paper›PMID 32301235›Full record

ArticleESC heart failure2020

Cost and health effects of case management compared with outpatient clinic follow-up in a Dutch heart failure cohort.

Henk van Voorst, Alfred Ernest Reiner Arnold

Abstract read
In one paragraph

Article in ESC heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  3. Observational
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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

2 authors.

Henk van VoorstDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, VU Amsterdam Main building, De Boelelaan 1105, Amsterdam, 1081 HV, the Netherlands.
Alfred Ernest Reiner ArnoldCardiology, Noordwest Ziekenhuisgroep, Alkmaar, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsHeart failure reduces quality of life and life expectancy; hospital admissions are frequent and create a burden on public resources. This study aims to quantify the benefits in terms of health effects [quality-adjusted life years (QALYs)] and costs when heart failure patients receive case management at home compared with outpatient cardiology clinic follow-up. METHODS AND

resultsA health state transition (Markov) model was written, and transition probabilities were derived from a cohort of 1114 patients and available literature. QALYs in different health states of heart failure patients were retrieved from the literature, and costs were estimated with data from the financial department of the Noordwest Ziekenhuisgroep and public cost sources. Monthly simulation cycles were repeated 60 times to generate 5 years of virtual follow-up data. Baseline willingness to pay is assumed €50 000 per QALY. Sensitivity analyses were performed in a one-way deterministic and a multiway probabilistic approach; the probabilistic approach used uniform and more plausible distributions of the model parameters. Case management reduced costs by €382 and increased QALYs by 0.261 for the baseline simulation; this results in a net monetary benefit of €13 428. Probabilistic sensitivity analysis based on uniform and most plausible distributions of parameters resulted in 96.2% and 83.3% of the simulations, favouring a treatment strategy of case management.

conclusionsCase management is cost effective in 83.3% of the probabilistic simulations and has a tendency towards reducing costs and increasing QALYs when considering a real-world cohort of heart failure patients in the Netherlands.

Indexed as

Heart FailureQuality of LifeAmbulatory Care FacilitiesCase ManagementFollow-Up StudiesHumansNetherlandsCase managementHealth care economics and organizationsHeart failureMarkov chainsPatient care managementQuality-adjusted life years

Identifiers

PMID32301235
PMCPMC7261554

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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.