Evidence map›Paper›PMID 31556246›Full record

Observational studyESC heart failure2019

Characteristics and health care utilization among patients with chronic heart failure: a longitudinal claim database analysis.

Joost Johan Godert Wammes, Stefan Auener, Philip J van der Wees, Marit A C Tanke, Louise Bellersen, Gert P Westert, Femke Atsma, Patrick P T Jeurissen

Abstract readObservational Study
In one paragraph

Observational study in ESC heart failure, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–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, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Article
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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

8 authors.

Joost Johan Godert WammesScientific Center for Quality of Healthcare, Radboud University Medical Center, PO Box 9101, 6500, HB, Nijmegen, The Netherlands.
Stefan AuenerScientific Center for Quality of Healthcare, Radboud University Medical Center, PO Box 9101, 6500, HB, Nijmegen, The Netherlands.
Philip J van der WeesScientific Center for Quality of Healthcare, Radboud University Medical Center, PO Box 9101, 6500, HB, Nijmegen, The Netherlands.
Marit A C TankeScientific Center for Quality of Healthcare, Radboud University Medical Center, PO Box 9101, 6500, HB, Nijmegen, The Netherlands.
Louise BellersenDepartment of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Gert P WestertScientific Center for Quality of Healthcare, Radboud University Medical Center, PO Box 9101, 6500, HB, Nijmegen, The Netherlands.
Femke AtsmaScientific Center for Quality of Healthcare, Radboud University Medical Center, PO Box 9101, 6500, HB, Nijmegen, The Netherlands.
Patrick P T JeurissenScientific Center for Quality of Healthcare, Radboud University Medical Center, PO Box 9101, 6500, HB, Nijmegen, The Netherlands.

Funding

Dutch Ministry of Health
6 · The paper itself

Abstract

aimsThis study aimed to determine the characteristics of patients with heart failure and high costs (top 1% and top 2-5% highest costs in perspective of the general population) and to explore the longitudinal health care utilization and persistency of high costs. METHODS AND

resultsLongitudinal observational study using claims data from 2006 to 2014 in the Netherlands. We identified all patients that received a hospital treatment for chronic heart failure between 1 January 2008 and 31 December 2010. Of each selected patient, all claims from the Dutch curative health system and with a starting date between 1 January 2006 and 31 December 2014 were extracted. Pharmaceutical and hospital claims were used to establish characteristics and indicators for health care utilization. Descriptive analyses and generalized estimating equation models were used to analyse characteristics, longitudinal health care utilization and to identify factors associated with high costs. Our findings revealed that the difference in costs between top 1%, top 2-5%, and bottom 95% patients with heart failure was mainly driven by hospital costs; and the top 1% group experienced a remarkable increase of mental health costs. Top 1% and top 2-5% patients with heart failure differed from lower cost patients in their higher rate of chronic conditions, excessive polypharmacy, hospital admissions, and heart-related surgeries. Heart-related surgeries contributed to the incidental high costs in 54% of top 1% patients, and the costs of the remaining top 1% patients were driven by mental health and pharmaceuticals use and rates of chronic conditions and multimorbidity. Top 1% patients were relatively young. Anaemia, dementia, diseases of arteries, veins and lymphatic vessels, influenza, and kidney failure were significantly associated with high costs. The end-of-life period was predictive of top 1% and top 5% costs. More than 90% of the population incurred at least one top 5% year during follow-up, and 31.8% incurred at least one top 1% year. Fifty-seven per cent incurred multiple top 5% years whereas only 8.6% incurred multiple top 1% years. Top 5% years were more frequently consecutive than top 1% years.

conclusionsTop 1% utilization occurs predominantly incidentally and among less than a third of patients with heart failure, whereas almost all patients with heart failure experience at least one top 5% year, and more than half experience two or more top 5% years. Both medical and psychiatric/psychosocial needs contribute to high costs in heart failure patients. Comprehensive and integrated efforts are needed to further improve quality of care and reduce unnecessary costs.

Indexed as

Heart FailureAdministrative Claims, HealthcareAgedChronic DiseaseFemaleHealth Care CostsHumansLongitudinal StudiesMalePatient Acceptance of Health CareHealth care costsHealth policyHeart failureHigh costQuality in health care

Identifiers

PMID31556246
PMCPMC6989283

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Registered trials

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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.