Evidence map›Paper›PMID 29182487›Full record

ArticleJournal of palliative medicine2018

Using Electronic Health Records for Quality Measurement and Accountability in Care of the Seriously Ill: Opportunities and Challenges.

J Randall Curtis, Seelwan Sathitratanacheewin, Helene Starks, Robert Y Lee, Erin K Kross, Lois Downey, James Sibley, William Lober, Elizabeth T Loggers, James A Fausto and 2 more

Abstract read
In one paragraph

Article in Journal of palliative medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Systematic Review of Electronic Medical Record Driven Quality Measurement and Feedback Systems.International journal of environmental research and public health · 2022
    Pooled it
  2. Trial
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  7. Communication, Shared Decision-making and Goals of Care in the ICU through Electronic Health Records: A Scoping Review.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  8. Leveraging the electronic health record to identify delivery of goal-concordant care.medRxiv : the preprint server for health sciences · 2024
    Article
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  18. Patient Race, Ethnicity, Language, and Pain Severity in Primary Care: A Retrospective Electronic Health Record Study.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2022
    Article
  19. Article
  20. Using Natural Language Processing to Classify Serious Illness Communication with Oncology Patients.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2022
    Article
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

12 authors.

J Randall Curtis1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.
Seelwan Sathitratanacheewin1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.
Helene Starks1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.
Robert Y Lee1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.
Erin K Kross1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.
Lois Downey1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.
James Sibley1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.
William Lober1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.
Elizabeth T Loggers1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.
James A Fausto1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.
Charlotta Lindvall8 Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute , Boston, Massachusetts.
Ruth A Engelberg1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington.

Funding

Palliative Care Research Training GrantT32HL125195 · NHLBI · UNIVERSITY OF WASHINGTON · PI KROSS, ERIN KATHRYN, SHARMA, RASHMI K. · 2015 to 2024
$3.2M
Goal-discordant care in acute respiratory failure: risk factors and mechanismsF32HL142211 · NHLBI · UNIVERSITY OF WASHINGTON · PI LEE, ROBERT YING-FU · 2018 to 2019
$99k
NHLBI NIH HHS F32 HL142211NHLBI NIH HHS T32 HL125195
6 · The paper itself

Abstract

backgroundAs our population ages and the burden of chronic illness rises, there is increasing need to implement quality metrics that measure and benchmark care of the seriously ill, including the delivery of both primary care and specialty palliative care. Such metrics can be used to drive quality improvement, value-based payment, and accountability for population-based outcomes.

methodsIn this article, we examine use of the electronic health record (EHR) as a tool to assess quality of serious illness care through narrative review and description of a palliative care quality metrics program in a large healthcare system.

resultsIn the search for feasible, reliable, and valid palliative care quality metrics, the EHR is an attractive option for collecting quality data on large numbers of seriously ill patients. However, important challenges to using EHR data for quality improvement and accountability exist, including understanding the validity, reliability, and completeness of the data, as well as acknowledging the difference between care documented and care delivered. Challenges also include developing achievable metrics that are clearly linked to patient and family outcomes and addressing data interoperability across sites as well as EHR platforms and vendors. This article summarizes the strengths and weakness of the EHR as a data source for accountability of community- and population-based programs for serious illness, describes the implementation of EHR data in the palliative care quality metrics program at the University of Washington, and, based on that experience, discusses opportunities and challenges. Our palliative care metrics program was designed to serve as a resource for other healthcare systems. DISCUSSION: Although the EHR offers great promise for enhancing quality of care provided for the seriously ill, significant challenges remain to operationalizing this promise on a national scale and using EHR data for population-based quality and accountability.

Indexed as

Electronic Health RecordsQuality of Health CareChronic DiseaseHumansPalliative CareQuality ImprovementSocial Responsibilityaccountability in careelectronic health recordspalliative carequality metricsseriously ill patient population

Identifiers

PMID29182487
PMCPMC5756465

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.