Evidence map›Paper›PMID 32197731›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2020

Exploratory Factor Analysis of a Patient-Centered Cancer Care Measure to Support Improved Assessment of Patients' Experiences.

Kerri-Anne R Mitchell, Kelly J Brassil, Kayo Fujimoto, Bryan M Fellman, Laura Aubree Shay, Andrew E Springer

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Patient Participation and the Environment: A Scoping Review of Instruments.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Perceptions of care coordination in cancer patient-family caregiver dyads.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    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

6 authors.

Kerri-Anne R MitchellDepartment of Health Behavior and Policy, Virginia Commonwealth University School of Medicine, Richmond, VA, USA. Electronic address: kerrianne.mitchell@vcuhealth.org.
Kelly J BrassilPack Health, Birmingham, AL, USA.
Kayo FujimotoDepartment of Health Promotion & Behavioral Sciences, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA; Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA.
Bryan M FellmanDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Laura Aubree ShayDepartment of Health Promotion & Behavioral Sciences, University of Texas Health Science Center at Houston School of Public Health, San Antonio, TX, USA.
Andrew E SpringerDepartment of Health Promotion and Behavioral Sciences, Michael & Susan Dell Center for Healthy Living, University of Texas Health Science Center at Houston School of Public Health, Austin, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Training Program in Cancer Prevention and Control and Cancer Health Equity (CPC-CHE)T32CA093423 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Bernard F Fuemmeler, Oxana G Palesh · 2018 to 2026
$3.0M
NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA093423
6 · The paper itself

Abstract

objectiveTo increase the understanding of patient-centered care (PCC) and address the need for cross-cutting quality cancer care measures that are relevant to both patients and providers.

methodsAn exploratory factor analysis (EFA) was performed on a short version of the Patients and the Cancer Care Experience Survey, a patient-reported measure of perceived importance of social, emotional, physical, and informational aspects of care, administered to adult patients (n = 104) at a National Cancer Institute-designated comprehensive cancer center. Relationships between PCC dimensions and patient characteristics were also assessed. Principal axis factoring was applied and bivariate analyses were performed using Wilcoxon rank-sum tests.

resultsMost of our sample was over 60 years old (63.4%), female (57.4%), and white (74.2%), with either breast (41.2%) or prostate cancer (27.5%). A 5-factor model was identified: (1) quality of life (α = .91), (2) provider social support (α = .83), (3) psychosocial needs (α = .91), (4) nonprovider social support (α = .79), and (5) health information and decision-making support (α = .88). No statistically significant associations were found between these factors and patients' characteristics.

conclusionsA preliminary factor structure for a cancer PCC measure was identified. Our findings reinforce the interrelated nature of PCC dimensions. The lessons learned from this study may be used to develop a single PCC measure that identifies patient priorities across the cancer care continuum. Data collected from such a measure can be used to support patient engagement in treatment planning and decision-making.

Indexed as

Medical OncologyPatient-Centered CarePatient Reported Outcome MeasuresPatient SatisfactionCross-Sectional StudiesEmotionsFactor Analysis, StatisticalFemaleHealth CommunicationHealth StatusHumansMaleMental HealthMiddle AgedNeoplasmsQuality of Lifecancerfactor analysisinstrument developmentpatient-centered care

Identifiers

PMID32197731
PMCPMC7086403

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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.