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,”...

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Main Authors: Emily J Ross MA, Chelsea H Wiener MS, Diane Robinson PhD, Jeffrey E Cassisi PhD
Format: Article
Language:English
Published: SAGE Publishing 2020-02-01
Series:Journal of Patient Experience
Online Access:https://doi.org/10.1177/2374373518808309
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spelling doaj-a9919cf76a1d4ac9afd60a55d94164af2020-11-25T03:16:19ZengSAGE PublishingJournal of Patient Experience2374-37352374-37432020-02-01710.1177/2374373518808309Optimizing Community and Hospital Services Using the Cancer Support Source ProgramEmily J Ross MA0Chelsea H Wiener MS1Diane Robinson PhD2Jeffrey E Cassisi PhD3 Department of Psychology, University of Central Florida, Orlando, FL, USA Department of Psychology, University of Central Florida, Orlando, FL, USA Orlando Health UF Health Cancer Center, Orlando, FL, USA Department of Psychology, University of Central Florida, Orlando, FL, USABackground: 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.https://doi.org/10.1177/2374373518808309
collection DOAJ
language English
format Article
sources DOAJ
author Emily J Ross MA
Chelsea H Wiener MS
Diane Robinson PhD
Jeffrey E Cassisi PhD
spellingShingle Emily J Ross MA
Chelsea H Wiener MS
Diane Robinson PhD
Jeffrey E Cassisi PhD
Optimizing Community and Hospital Services Using the Cancer Support Source Program
Journal of Patient Experience
author_facet Emily J Ross MA
Chelsea H Wiener MS
Diane Robinson PhD
Jeffrey E Cassisi PhD
author_sort Emily J Ross MA
title 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_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_sort optimizing community and hospital services using the cancer support source program
publisher SAGE Publishing
series Journal of Patient Experience
issn 2374-3735
2374-3743
publishDate 2020-02-01
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.
url https://doi.org/10.1177/2374373518808309
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