Evidence map›Paper›PMID 31076896›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2020

Patient Satisfaction with Navigator Interpersonal Relationship (PSN-I): item-level psychometrics using IRT analysis.

Pascal Jean-Pierre, Can Shao, Ying Cheng, Kristen J Wells, Electra Paskett, Kevin Fiscella

Registry-linked trialAbstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06373588 (Co-design and Evaluation of a Patient Navigator Intervention for Migrant Children and Youth with Special Healthcare Needs), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT06373588 narecruitingnot on this mapstarted 2024, after this paper: background citation

Co-design and Evaluation of a Patient Navigator Intervention for Migrant Children and Youth with Special Healthcare Needs (CYSHCN) Experiencing Care Transitions (MiNav Trial)

TypeinterventionalSponsorMcGill University Health Centre/Research Institute of the McGill University Health CentreRan2024 to 2027Enrolled324ConditionsPatient NavigationArmsPatient Navigator
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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.

Pascal Jean-PierreFlorida State University College of Medicine, 1115 W. Call Street, 4104, Tallahassee, FL, 32306-4300, USA. Pascal.Jean-Pierre@med.fsu.edu.ORCID http://orcid.org/0000-0002-0799-2597
Can ShaoCurriculum Associates, San Francisco, CA, USA.
Ying ChengUniversity of Notre Dame, Notre Dame, IN, USA.
Kristen J WellsSan Diego State University, San Diego, CA, USA.
Electra PaskettOhio State University, Columbus, OH, USA.
Kevin FiscellaUniversity of Rochester Medical Center, Rochester, NY, USA.

Funding

URCC NCORP Research BaseUG1CA189961 · NCI · UNIVERSITY OF ROCHESTER · PI Michelle C Janelsins, KAREN M. MUSTIAN · 2014 to 2026
$67.7M
Research Education CoreU54CA132384 · NCI · SAN DIEGO STATE UNIVERSITY · PI CRIPPS, RICHARD MATTHEW, CROWE, SHEILA E. · 2008 to 2022
$20.7M
Research Education CoreU54CA132379 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARREDONDO, ELVA M, CROWE, SHEILA E. · 2008 to 2021
$16.1M
Cancer Control Research Training Curriculum (R25T)R25CA102618 · NCI · UNIVERSITY OF ROCHESTER · PI JANELSINS, MICHELLE C, MORROW, GARY R · 2004 to 2018
$6.7M
Chicago Cancer Navigation ProjectU01CA116875 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ROSEN, STEVEN TERRY · 2005 to 2011
$4.5M
RCT of Primary Care-based Patient Navigation-ActivationU01CA116924 · NCI · UNIVERSITY OF ROCHESTER · PI FISCELLA, KEVIN ANTHONY · 2005 to 2011
$4.4M
"Patient Navigation in the SafetyNet: CONNECTeDD"U01CA116892 · NCI · BOSTON MEDICAL CENTER · PI FREUND, KAREN · 2005 to 2010
$4.3M
DC City-wide Patient Navigation Research ProgramU01CA116937 · NCI · GEORGE WASHINGTON UNIVERSITY · PI PATIERNO, STEVEN R · 2005 to 2011
$4.1M
Improving Patient Outcomes Through System NavigationU01CA116903 · NCI · DENVER HEALTH AND HOSPITAL AUTHORITY · PI RAICH, PETER CHRISTIAN · 2005 to 2011
$3.8M
Patient Navigation Research ProgramU01CA116885 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DUDLEY, DONALD J · 2005 to 2010
$3.3M
Patient Navigator ProgramU01CA117281 · NCI · H. LEE MOFFITT CANCER CTR &RES INST · PI ROETZHEIM, RICHARD G · 2005 to 2009
$3.1M
Northwest Tribal Cancer Navigator ProgramU01CA116925 · NCI · NORTHWEST PORTLAND AREA INDIAN HLTH BD · PI WARREN-MEARS, VICTORIA ANN · 2005 to 2009
$3.0M
NCI NIH HHS R21 CA161077NCI NIH HHS R25 CA102618NCI NIH HHS T32 CA102618NCI NIH HHS U01 CA116875NCI NIH HHS U01 CA116885NCI NIH HHS U01 CA116892NCI NIH HHS U01 CA116903NCI NIH HHS U01 CA116924NCI NIH HHS U01 CA116925NCI NIH HHS U01 CA116937NCI NIH HHS U01 CA117281NCI NIH HHS U54 CA132379NCI NIH HHS U54 CA132384NCI NIH HHS UG1 CA189961NIH HHS 3U01CA116924-03S1
6 · The paper itself

Abstract

backgroundPatient navigation (PN) is a promising intervention to eliminate cancer health inequities. Patient navigators play a critical role in the navigation process. Patients' satisfaction with navigators is important in determining the effectiveness of PN programs. We applied item response theory (IRT) analysis to establish item-level psychometric properties for the Patient Satisfaction with Interpersonal Relationship with Navigators (PSN-I).

methodsWe conducted a confirmatory factor analysis (CFA) to establish unidimensionality of the 9-item PSN-I in 751 cancer patients (68% female) between 18 and 86 years old. We fitted unidimensional IRT models-unconstrained graded response model (GRM) and Rasch model-to PSN-I data, and compared model fit using likelihood ratio (LR) test and information criteria. We obtained item parameter estimates (IPEs), item category/operating characteristic curves, and item/test information curves for the better fitting model.

resultsCFA with diagonally weighted least squares confirmed that the one-factor model fit the data (RMSEA = 0.047, 95% CI = 0.033-0.060, and CFI ≈ 1). Responses to PSN-I items clustered into the 4th and 5th categories. We aggregated the first three response categories to provide stable parameter estimates for both IRT models. The GRM fit the data significantly better than the Rasch model (LR = 80.659, df = 8, p < 0.001). Akaike's information coefficient (6384.978 vs. 6320.319) and Bayesian information coefficient (6471.851 vs. 6443.771) were lower for the GRM. IPEs showed substantial variation in items' discriminating power (1.80-3.35) for GRM.

conclusionsThis IRT analysis confirms the latent structure of the PSN-I and supports its use as a valid and reliable measure of latent satisfaction with PN.

Indexed as

Patient SatisfactionAdolescentAdultAgedAged, 80 and overFemaleHumansInterpersonal RelationsMaleMiddle AgedPatient NavigationPsychometricsSurveys and QuestionnairesYoung AdultCancer disparitiesCancer patient navigationItem response theoryMeasure developmentPsychometricsPsychometric validationRace-ethnicity

Identifiers

PMID31076896
PMCPMC7869894

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Registered trials

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.