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Optimizing Community and Hospital Services Using the Cancer Support Source Program
BACKGROUND: The Cancer Support Community developed the Cancer Support Source (CSS) to assess the needs of cancer patients with distress. Each item on this self-administered questionnaire represents an area of concern which the patient rates and indicates their need for action with a “staff person,”...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036691/ https://www.ncbi.nlm.nih.gov/pubmed/32128377 http://dx.doi.org/10.1177/2374373518808309 |
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author | Ross, Emily J Wiener, Chelsea H Robinson, Diane Cassisi, Jeffrey E |
author_facet | Ross, Emily J Wiener, Chelsea H Robinson, Diane Cassisi, Jeffrey E |
author_sort | Ross, Emily J |
collection | PubMed |
description | BACKGROUND: The Cancer Support Community developed the Cancer Support Source (CSS) to assess the needs of cancer patients with distress. Each item on this self-administered questionnaire represents an area of concern which the patient rates and indicates their need for action with a “staff person,” but no details about the category of staff is given. OBJECTIVE: To examine the factor structure of the CSS and to increase its utility to triage patients for referral to services based on a needs assessment. METHODS: Data from 690 patients who completed the CSS over a 1-year period were analyzed. In study 1, an exploratory principal component analysis was conducted. In study 2, the fit of this proposed model was evaluated with confirmatory factor analysis (CFA). RESULTS: Three factors were retained in the final CFA: emotional distress, physical health concerns, and resource needs. This model demonstrated adequate fit, Root Mean Square Error of Approximation (RMSEA)= 0.056, Comparitive Fit Index (CFI) = .907, Standardized Root Mean Square Residual (SRMR) = 0.050. CONCLUSIONS: Three factors are proposed as CSS subscales to guide referral and coordinate services: Emotional Distress/Patient and Family Counselor, Physical Health Concerns/Medical Care Provider, and Resource Needs/Case Management-Clinical Social Worker. The clinical utility of these referral subscales should be established with additional research. |
format | Online Article Text |
id | pubmed-7036691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-70366912020-03-03 Optimizing Community and Hospital Services Using the Cancer Support Source Program Ross, Emily J Wiener, Chelsea H Robinson, Diane Cassisi, Jeffrey E J Patient Exp Research Articles BACKGROUND: The Cancer Support Community developed the Cancer Support Source (CSS) to assess the needs of cancer patients with distress. Each item on this self-administered questionnaire represents an area of concern which the patient rates and indicates their need for action with a “staff person,” but no details about the category of staff is given. OBJECTIVE: To examine the factor structure of the CSS and to increase its utility to triage patients for referral to services based on a needs assessment. METHODS: Data from 690 patients who completed the CSS over a 1-year period were analyzed. In study 1, an exploratory principal component analysis was conducted. In study 2, the fit of this proposed model was evaluated with confirmatory factor analysis (CFA). RESULTS: Three factors were retained in the final CFA: emotional distress, physical health concerns, and resource needs. This model demonstrated adequate fit, Root Mean Square Error of Approximation (RMSEA)= 0.056, Comparitive Fit Index (CFI) = .907, Standardized Root Mean Square Residual (SRMR) = 0.050. CONCLUSIONS: Three factors are proposed as CSS subscales to guide referral and coordinate services: Emotional Distress/Patient and Family Counselor, Physical Health Concerns/Medical Care Provider, and Resource Needs/Case Management-Clinical Social Worker. The clinical utility of these referral subscales should be established with additional research. SAGE Publications 2018-10-25 2020-02 /pmc/articles/PMC7036691/ /pubmed/32128377 http://dx.doi.org/10.1177/2374373518808309 Text en © The Author(s) 2018 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Research Articles Ross, Emily J Wiener, Chelsea H Robinson, Diane Cassisi, Jeffrey E Optimizing Community and Hospital Services Using the Cancer Support Source Program |
title | Optimizing Community and Hospital Services Using the Cancer Support Source
Program |
title_full | Optimizing Community and Hospital Services Using the Cancer Support Source
Program |
title_fullStr | Optimizing Community and Hospital Services Using the Cancer Support Source
Program |
title_full_unstemmed | Optimizing Community and Hospital Services Using the Cancer Support Source
Program |
title_short | Optimizing Community and Hospital Services Using the Cancer Support Source
Program |
title_sort | optimizing community and hospital services using the cancer support source
program |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036691/ https://www.ncbi.nlm.nih.gov/pubmed/32128377 http://dx.doi.org/10.1177/2374373518808309 |
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