Evidence map›Paper›PMID 31349037›Full record

ArticleJournal of pain and symptom management2019

Novel Data Linkages to Characterize Palliative and End-Of-Life Care: Challenges and Considerations.

Cara L McDermott, Ruth A Engelberg, Cossette Woo, Li Li, Catherine Fedorenko, Scott D Ramsey, J Randall Curtis

Abstract read
In one paragraph

Article in Journal of pain and symptom management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Supporting research, protecting data: one institution's approach to clinical data warehouse governance.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  4. Article
  5. Article
  6. End-of-life patterns of symptom management and cancer-directed care among Medicare beneficiaries with lung cancer: a claims-based analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Cara L McDermottCambia Palliative Care Center of Excellence Department of Medicine, University of Washington, Seattle, Washington, USA; Hutchinson Institute for Cancer Outcomes Research Fred Hutchinson Cancer Research Center, Seattle, Washington, USA. Electronic address: clm2@uw.edu.
Ruth A EngelbergCambia Palliative Care Center of Excellence Department of Medicine, University of Washington, Seattle, Washington, USA.
Cossette WooDepartment of Social Welfare University of Washington, Seattle, Washington, USA.
Li LiHutchinson Institute for Cancer Outcomes Research Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Catherine FedorenkoHutchinson Institute for Cancer Outcomes Research Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Scott D RamseyHutchinson Institute for Cancer Outcomes Research Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
J Randall CurtisCambia Palliative Care Center of Excellence Department of Medicine, University of Washington, Seattle, Washington, USA.

Funding

Palliative Care Research Training GrantT32HL125195 · NHLBI · UNIVERSITY OF WASHINGTON · PI KROSS, ERIN KATHRYN, SHARMA, RASHMI K. · 2015 to 2024
$3.2M
University of Washington Implementation Science Training Program (UW-ISTP)K12K12HL137940 · NHLBI · UNIVERSITY OF WASHINGTON · PI AU, DAVID H, CURTIS, J RANDALL · 2017 to 2021
$2.9M
NHLBI NIH HHS K12 HL137940NHLBI NIH HHS T32 HL125195
6 · The paper itself

Abstract

contextWorking groups have called for linkages of existing and diverse databases to improve quality measurement in palliative and end-of-life (EOL) care, but limited data are available on the challenges of using different data sources to measure such care.

objectivesTo assess concordance of data obtained from different sources in a novel linkage of death certificates, electronic health records (EHRs), cancer registry data, and insurance claims for patients who died with cancer.

methodsWe joined a database of Washington State death certificates and EHR to a data repository of commercial health plan enrollment and claims files linked to registry records from Puget Sound Cancer Surveillance System. We assessed care in the last month including hospitalizations, intensive care unit (ICU) admissions, emergency department visits, imaging scans, radiation, and hospice, plus chemotherapy in the last 14 days. We used a Chi-squared test to compare differences between health care in EHR and claims.

resultsRecords of hospitalization, ICU use, and emergency department use were 33%, 15%, and 33% lower in EHR versus claims, respectively. Radiation, hospice, and imaging were 6%, 14%, and 28% lower, respectively, in EHR, but chemotherapy was 4% higher than that in claims. These differences were statistically different for hospice (P < 0.02), hospitalization, ICU, ER, and imaging (all P < 0.01) but not radiation (P = 0.12) or chemotherapy (P = 0.29).

conclusionWe found substantial variation between EHR and claims for EOL health-care use. Reliance on EHR will miss some health-care use, while claims will not capture the complex clinical details in EHR that can help define the quality of palliative care and EOL health-care utilization.

Indexed as

Databases, FactualElectronic Health RecordsHospice CareHospitalizationHumansInformation Storage and RetrievalIntensive Care UnitsPalliative CareRegistriesTerminal CareUnited Statescancerdatabaseselectronic health recordsend-of-lifeinsurance claimsPalliative care

Identifiers

PMID31349037
PMCPMC6823151

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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.