Evidence map›Paper›PMID 35272981›Full record

ArticleJournal of geriatric oncology2022

Associations between illness burden and care experiences among Medicare beneficiaries before or after a cancer diagnosis.

Lisa M Lines, Julia Cohen, Justin Kirschner, Daniel H Barch, Michael T Halpern, Erin E Kent, Michelle A Mollica, Ashley Wilder Smith

Open access · greenAbstract read
In one paragraph

Article in Journal of geriatric oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 1 country.

Lisa M LinesRTI International, 3040 E. Cornwallis Rd., Research Triangle Park, NC 27709, United States of America; University of Massachusetts Chan Medical School, 55 Lake Ave., North Worcester, MA 01655, United States of America. Electronic address: llines@rti.org.
Julia CohenRTI International, 3040 E. Cornwallis Rd., Research Triangle Park, NC 27709, United States of America.
Justin KirschnerRTI International, 3040 E. Cornwallis Rd., Research Triangle Park, NC 27709, United States of America.
Daniel H BarchRTI International, 3040 E. Cornwallis Rd., Research Triangle Park, NC 27709, United States of America; Psychology Department, Tufts University, Medford, MA, United States of America.
Michael T HalpernNational Cancer Institute, Division of Cancer Control and Population Sciences, Healthcare Delivery Research Program, United States of America.
Erin E KentDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, United States of America; University of North Carolina Lineberger Comprehensive Cancer Center, United States of America.
Michelle A MollicaNational Cancer Institute, Division of Cancer Control and Population Sciences, Healthcare Delivery Research Program, United States of America.
Ashley Wilder SmithNational Cancer Institute, Division of Cancer Control and Population Sciences, Healthcare Delivery Research Program, United States of America.
RTI International · USNational Cancer Institute · USUNC Lineberger Comprehensive Cancer Center

Funding

SUPPORT FOR THE SEER-CAHPS INITIATIVE75N91020F00215 · NCI · RESEARCH TRIANGLE INSTITUTE · PI BOGGS, ABBEY · 2020 to 2024
$960k
NCI NIH HHS 75N91020F00215
6 · The paper itself

Abstract

introductionTo understand associations between a new measure of illness burden and care experiences in a large, national sample of Medicare beneficiaries surveyed before or after a cancer diagnosis. MATERIALS AND

methodsThe SEER-CAHPS Illness Burden Index (SCIBI) was previously developed using Surveillance, Epidemiology, and End Results (SEER)-Consumer Assessment of Healthcare Providers and Systems (CAHPS) linked data. The SCIBI provides a standardized morbidity score based on self- and other-reported information from 8 domains and proxies relative risk of 12-month, all-cause mortality among people surveyed before or after a cancer diagnosis. We analyzed a population of Medicare beneficiaries (n = 116,735; 49% fee-for-service and 51% Medicare Advantage [MA]; 73% post-cancer diagnosis) surveyed 2007-2013 to understand how their SCIBI scores were associated with 12 different care experience measures. Frequentist and Bayesian multivariable regression models adjusted for standard case-mix adjustors, enrollment type, timing of cancer diagnoses relative to survey, and survey year. RESULTS AND DISCUSSION: SCIBl scores were associated (P < .001) in frequentist models with better ratings of Health Plan (coefficient ± standard error: 0.33 ± 0.08) and better Getting Care Quickly scores (0.51 ± 0.09). In Bayesian models, individuals with higher illness burden had similar results on the same two measures and also reported reliably worse Overall Care experiences (coefficient ± posterior SD: -0.17 ± 0.06). Illness burden may influence how people experience care or report those experiences. Individuals with greater illness burdens may need intensive care coordination and multilevel interventions before and after a cancer diagnosis.

Indexed as

MedicareNeoplasmsAgedBayes TheoremCost of IllnessHumansPatient SatisfactionUnited StatesCancerCare experiencesClaims dataComorbiditySurvey data

Identifiers

PMID35272981
PMCPMC9233114
OpenAlexW4220868242

What OpenQuestion holds

Textmetadata
LicenceTDM
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.