Patient Satisfaction with Navigator Interpersonal Relationship (PSN-I): item-level psychometrics using IRT analysis.
Background: Patient 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 theo...
| Published in: | Supportive Care in Cancer Vol. 28; no. 2; pp. 541 - 551 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Feb2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141151075&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141151075 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09414355 O1J jtl: Supportive Care in Cancer issn: 09414355 maglogo: N pubinfo: dt: Feb2020 vid: 28 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 141151075 141151075 NLM31076896 10.1007/s00520-019-04833-x NLM31076896 141151075 ppf: 541 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Patient Satisfaction with Navigator Interpersonal Relationship (PSN-I): item-level psychometrics using IRT analysis. aug: au: Jean-Pierre, Pascal Shao, Can Cheng, Ying Wells, Kristen J. Paskett, Electra Fiscella, Kevin affil: Florida State University College of Medicine, 1115 W. Call Street, 4104, 32306-4300, Tallahassee, FL, USA sug: subj: Psychometrics Methods Patient Navigation Methods Patient Satisfaction Aged, 80 and Over Adult Aged Female Adolescence Young Adult Interpersonal Relations Middle Age Male Aged, 80 & over Adult: 19-44 years Aged: 65+ years Adolescent: 13-18 years Middle Aged: 45-64 years Female Male ab: Background: Patient 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).Methods: We 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.Results: CFA 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.Conclusions: This 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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