Evidence map›Paper›PMID 30196269›Full record

SynthesisBMJ open2018

Systematic review of high-cost patients' characteristics and healthcare utilisation.

Joost Johan Godert Wammes, Philip J van der Wees, Marit A C Tanke, Gert P Westert, Patrick P T Jeurissen

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 7 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

157 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  5. Quality Indicators for High-Need Patients: a Systematic Review.Journal of general internal medicine · 2022
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97 more citing papers are in PubMed but not listed here.

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.

Joost Johan Godert WammesRadboud University Medical Center, Scientific Center for Quality of Healthcare/Celsus Academy for Sustainable Healthcare, Nijmegen, The Netherlands.
Philip J van der WeesRadboud University Medical Center, Scientific Center for Quality of Healthcare/Celsus Academy for Sustainable Healthcare, Nijmegen, The Netherlands.
Marit A C TankeRadboud University Medical Center, Scientific Center for Quality of Healthcare/Celsus Academy for Sustainable Healthcare, Nijmegen, The Netherlands.
Gert P WestertRadboud University Medical Center, Scientific Center for Quality of Healthcare, Nijmegen, The Netherlands.
Patrick P T JeurissenRadboud University Medical Center, Scientific Center for Quality of Healthcare/Celsus Academy for Sustainable Healthcare, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the characteristics and healthcare utilisation of high-cost patients and to compare high-cost patients across payers and countries.

designSystematic review. DATA SOURCES: PubMed and Embase databases were searched until 30 October 2017. ELIGIBILITY CRITERIA AND OUTCOMES: Our final search was built on three themes: 'high-cost', 'patients', and 'cost' and 'cost analysis'. We included articles that reported characteristics and utilisation of the top-X% (eg, top-5% and top-10%) patients of costs of a given population. Analyses were limited to studies that covered a broad range of services, across the continuum of care. Andersen's behavioural model was used to categorise characteristics and determinants into predisposing, enabling and need characteristics.

resultsThe studies pointed to a high prevalence of multiple (chronic) conditions to explain high-cost patients' utilisation. Besides, we found a high prevalence of mental illness across all studies and a prevalence higher than 30% in US Medicaid and total population studies. Furthermore, we found that high costs were associated with increasing age but that still more than halve of high-cost patients were younger than 65 years. High costs were associated with higher incomes in the USA but with lower incomes elsewhere. Preventable spending was estimated at maximally 10% of spending. The top-10%, top-5% and top-1% high-cost patients accounted for respectively 68%, 55% and 24% of costs within a given year. Spending persistency varied between 24% and 48%. Finally, we found that no more than 30% of high-cost patients are in their last year of life.

conclusionsHigh-cost patients make up the sickest and most complex populations, and their high utilisation is primarily explained by high levels of chronic and mental illness. High-cost patients are diverse populations and vary across payer types and countries. Tailored interventions are needed to meet the needs of high-cost patients and to avoid waste of scarce resources.

Indexed as

Health ServicesMental Health ServicesMultiple Chronic ConditionsAdultAgedCosts and Cost AnalysisDelivery of Health Care, IntegratedGlobal HealthHealth Care CostsHumansIncomeMiddle AgedNeeds AssessmentPatient Acceptance of Health CarePrevalencehealth care costshealth care utilizationhigh-need high-costintegrated delivery of health care

Identifiers

PMID30196269
PMCPMC6129088

What OpenQuestion holds

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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.