Evidence map›Paper›PMID 30877149›Full record

Observational studyBMJ quality & safety2019

Bending the cost curve: time series analysis of a value transformation programme at an academic medical centre.

Steven C Chatfield, Frank M Volpicelli, Nicole M Adler, Kunhee Lucy Kim, Simon A Jones, Fritz Francois, Paresh C Shah, Robert A Press, Leora I Horwitz

Open access · bronzeAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ quality & safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 6% of its field
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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Value-Based Healthcare Initiatives in Practice: A Systematic Review.Journal of healthcare management / American College of Healthcare Executives · 2021
    Pooled it
  3. Article
  4. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Steven C Chatfield *NYU Langone Health, New York, NY, USA.
Frank M Volpicelli *Division of General Internal Medicine and Clinical Innovation, Department of Medicine, NYU School of Medicine, New York, NY, USA.
Nicole M AdlerDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, NYU School of Medicine, New York, NY, USA.
Kunhee Lucy KimDivision of Healthcare Delivery Science, Department of Population Health, NYU School of Medicine, New York, NY, USA.
Simon A JonesDivision of Healthcare Delivery Science, Department of Population Health, NYU School of Medicine, New York, NY, USA.
Fritz FrancoisNYU Langone Health, New York, NY, USA.
Paresh C ShahNYU Langone Health, New York, NY, USA.
Robert A PressNYU Langone Health, New York, NY, USA.
Leora I HorwitzDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, NYU School of Medicine, New York, NY, USA leora.horwitz@nyulangone.org.ORCID 0000-0003-1800-6040
New York University · USNYU Langone Health · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundReducing costs while increasing or maintaining quality is crucial to delivering high value care.

objectiveTo assess the impact of a hospital value-based management programme on cost and quality.

designTime series analysis of non-psychiatric, non-rehabilitation, non-newborn patients discharged between 1 September 2011 and 31 December 2017 from a US urban, academic medical centre.

interventionNYU Langone Health instituted an institution-wide programme in April 2014 to increase value of healthcare, defined as health outcomes achieved per dollar spent. Key features included joint clinical and operational leadership; granular and transparent cost accounting; dedicated project support staff; information technology support; and a departmental shared savings programme. MEASUREMENTS: Change in variable direct costs; secondary outcomes included changes in length of stay, readmission and in-hospital mortality.

resultsThe programme chartered 74 projects targeting opportunities in supply chain management (eg, surgical trays), operational efficiency (eg, discharge optimisation), care of outlier patients (eg, those at end of life) and resource utilisation (eg, blood management). The study cohort included 160 434 hospitalisations. Adjusted variable costs decreased 7.7% over the study period. Admissions with medical diagnosis related groups (DRG) declined an average 0.20% per month relative to baseline. Admissions with surgical DRGs had an early increase in costs of 2.7% followed by 0.37% decrease in costs per month. Mean expense per hospitalisation improved from 13% above median for teaching hospitals to 2% above median. Length of stay decreased by 0.25% per month relative to prior trends (95% CI -0.34 to 0.17): approximately half a day by the end of the study period. There were no significant changes in 30-day same-hospital readmission or in-hospital mortality. Estimated institutional savings after intervention costs were approximately $53.9 million. LIMITATIONS: Observational analysis.

conclusionA systematic programme to increase healthcare value by lowering the cost of care without compromising quality is achievable and sustainable over several years.

Indexed as

Academic Medical CentersCost-Benefit AnalysisDirect Service CostsEfficiency, OrganizationalFemaleHealth Services ResearchHospital MortalityHumansLength of StayMaleMiddle AgedNew York CityPatient ReadmissionUrban Healthcost-effectivenesshealth services researchhospital medicinemanagement

Identifiers

PMID30877149
PMCPMC6860728
OpenAlexW2922038786

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.