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Short-form adaptive measure of financial toxicity from the Economic Strain and Resilience in Cancer (ENRICh) study: Derivation using modern psychometric techniques

OBJECTIVES: This study sought to evaluate advanced psychometric properties of the 15-item Economic Strain and Resilience in Cancer (ENRICh) measure of financial toxicity for cancer patients. METHODS: We surveyed 515 cancer patients in the greater Houston metropolitan area using ENRICh from March 201...

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Autores principales: Xu, Cai, Smith, Grace L., Chen, Ying-Shiuan, Checka, Cristina M., Giordano, Sharon H., Kaiser, Kelsey, Lowenstein, Lisa M., Ma, Hilary, Mendoza, Tito R., Peterson, Susan K., Shih, Ya-Chen T., Shete, Sanjay, Tang, Chad, Volk, Robert J., Sidey-Gibbons, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409561/
https://www.ncbi.nlm.nih.gov/pubmed/36006909
http://dx.doi.org/10.1371/journal.pone.0272804
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author Xu, Cai
Smith, Grace L.
Chen, Ying-Shiuan
Checka, Cristina M.
Giordano, Sharon H.
Kaiser, Kelsey
Lowenstein, Lisa M.
Ma, Hilary
Mendoza, Tito R.
Peterson, Susan K.
Shih, Ya-Chen T.
Shete, Sanjay
Tang, Chad
Volk, Robert J.
Sidey-Gibbons, Chris
author_facet Xu, Cai
Smith, Grace L.
Chen, Ying-Shiuan
Checka, Cristina M.
Giordano, Sharon H.
Kaiser, Kelsey
Lowenstein, Lisa M.
Ma, Hilary
Mendoza, Tito R.
Peterson, Susan K.
Shih, Ya-Chen T.
Shete, Sanjay
Tang, Chad
Volk, Robert J.
Sidey-Gibbons, Chris
author_sort Xu, Cai
collection PubMed
description OBJECTIVES: This study sought to evaluate advanced psychometric properties of the 15-item Economic Strain and Resilience in Cancer (ENRICh) measure of financial toxicity for cancer patients. METHODS: We surveyed 515 cancer patients in the greater Houston metropolitan area using ENRICh from March 2019 to March 2020. We conducted a series of factor analyses alongside parametric and non-parametric item response theory (IRT) assessments using Mokken analysis and the graded response model (GRM). We utilized parameters derived from the GRM to run a simulated computerized adaptive test (CAT) assessment. RESULTS: Among participants, mean age was 58.49 years and 278 (54%) were female. The initial round factor analysis results suggested a one-factor scale structure. Negligible levels of differential item functioning (DIF) were evident between eight items. Three items were removed due to local interdependence (Q3>+0.4). The original 11-point numerical rating scale did not function well, and a new 3-point scoring system was implemented. The final 12-item ENRICh had acceptable fit to the GRM (p<0.001; TLI = 0.94; CFI = 0.95; RMSEA = 0.09; RMSR = 0.06) as well as good scalability and dimensionality. We observed high correlation between CAT version scores and the 12-item measure (r = 0.98). During CAT, items 2 (money you owe) and 4 (stress level about finances) were most frequently administered, followed by items 1 (money in savings) and 5 (ability to pay bills). Scores from these four items alone were strongly correlated with that of the 12-item ENRICh (r = 0.96). CONCLUSION: These CAT and 4-item versions provide options for quick screening in clinical practice and low-burden assessment in research.
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spelling pubmed-94095612022-08-26 Short-form adaptive measure of financial toxicity from the Economic Strain and Resilience in Cancer (ENRICh) study: Derivation using modern psychometric techniques Xu, Cai Smith, Grace L. Chen, Ying-Shiuan Checka, Cristina M. Giordano, Sharon H. Kaiser, Kelsey Lowenstein, Lisa M. Ma, Hilary Mendoza, Tito R. Peterson, Susan K. Shih, Ya-Chen T. Shete, Sanjay Tang, Chad Volk, Robert J. Sidey-Gibbons, Chris PLoS One Research Article OBJECTIVES: This study sought to evaluate advanced psychometric properties of the 15-item Economic Strain and Resilience in Cancer (ENRICh) measure of financial toxicity for cancer patients. METHODS: We surveyed 515 cancer patients in the greater Houston metropolitan area using ENRICh from March 2019 to March 2020. We conducted a series of factor analyses alongside parametric and non-parametric item response theory (IRT) assessments using Mokken analysis and the graded response model (GRM). We utilized parameters derived from the GRM to run a simulated computerized adaptive test (CAT) assessment. RESULTS: Among participants, mean age was 58.49 years and 278 (54%) were female. The initial round factor analysis results suggested a one-factor scale structure. Negligible levels of differential item functioning (DIF) were evident between eight items. Three items were removed due to local interdependence (Q3>+0.4). The original 11-point numerical rating scale did not function well, and a new 3-point scoring system was implemented. The final 12-item ENRICh had acceptable fit to the GRM (p<0.001; TLI = 0.94; CFI = 0.95; RMSEA = 0.09; RMSR = 0.06) as well as good scalability and dimensionality. We observed high correlation between CAT version scores and the 12-item measure (r = 0.98). During CAT, items 2 (money you owe) and 4 (stress level about finances) were most frequently administered, followed by items 1 (money in savings) and 5 (ability to pay bills). Scores from these four items alone were strongly correlated with that of the 12-item ENRICh (r = 0.96). CONCLUSION: These CAT and 4-item versions provide options for quick screening in clinical practice and low-burden assessment in research. Public Library of Science 2022-08-25 /pmc/articles/PMC9409561/ /pubmed/36006909 http://dx.doi.org/10.1371/journal.pone.0272804 Text en © 2022 Xu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Xu, Cai
Smith, Grace L.
Chen, Ying-Shiuan
Checka, Cristina M.
Giordano, Sharon H.
Kaiser, Kelsey
Lowenstein, Lisa M.
Ma, Hilary
Mendoza, Tito R.
Peterson, Susan K.
Shih, Ya-Chen T.
Shete, Sanjay
Tang, Chad
Volk, Robert J.
Sidey-Gibbons, Chris
Short-form adaptive measure of financial toxicity from the Economic Strain and Resilience in Cancer (ENRICh) study: Derivation using modern psychometric techniques
title Short-form adaptive measure of financial toxicity from the Economic Strain and Resilience in Cancer (ENRICh) study: Derivation using modern psychometric techniques
title_full Short-form adaptive measure of financial toxicity from the Economic Strain and Resilience in Cancer (ENRICh) study: Derivation using modern psychometric techniques
title_fullStr Short-form adaptive measure of financial toxicity from the Economic Strain and Resilience in Cancer (ENRICh) study: Derivation using modern psychometric techniques
title_full_unstemmed Short-form adaptive measure of financial toxicity from the Economic Strain and Resilience in Cancer (ENRICh) study: Derivation using modern psychometric techniques
title_short Short-form adaptive measure of financial toxicity from the Economic Strain and Resilience in Cancer (ENRICh) study: Derivation using modern psychometric techniques
title_sort short-form adaptive measure of financial toxicity from the economic strain and resilience in cancer (enrich) study: derivation using modern psychometric techniques
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409561/
https://www.ncbi.nlm.nih.gov/pubmed/36006909
http://dx.doi.org/10.1371/journal.pone.0272804
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