Objective: This study examined the factorial and construct validity of the Social Provisions Scale (SPS) in a sample of people with multiple sclerosis (MS).
Method: Participants included 292 individuals with MS (83.9% women) recruited from the Greater Illinois, Gateway, and Indiana chapters of the National Multiple Sclerosis Society. Participants completed the SPS and pain, fatigue, depression, anxiety, MS self-efficacy, quality of life, and satisfaction with life measures. Factorial validity was tested using confirmatory factor analysis (CFA), and construct validity was examined based on the strength of bivariate correlations with scores on related measures.
Results: Findings from the CFA indicated that a first-order, 6-factor measurement model provided a good fit for the 24 items of the SPS (CFI = .94, TLI = .93, RMSEA = 0.07) and that the 6 factors could be described by a single, second-order factor of the overall social provisions (CFI = .93, TLI = .92, RMSEA = 0.08). Cronbach's alpha was .89 for the global score and between .66 and .81 for the 6 subscales. The SPS global and subscale scores correlated significantly with satisfaction with life, depression, anxiety, MS self-efficacy, and quality of life measures.
Conclusions: Findings from this study support the factorial validity, construct validity, and reliability of the SPS as a measure of social provisions for use with people with MS. (PsycINFO Database Record
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http://dx.doi.org/10.1037/rep0000089 | DOI Listing |
Int J Rheum Dis
January 2025
Health Services Research, Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, Germany.
Objective: Various demographic factors, including sex, socioeconomic status, and immigration status, have been linked to disparities in healthcare outcomes. Despite efforts by healthcare providers to address these inequities, interventions are not always effective. The present investigation provides empirical insights from Germany focusing on patients with systemic connective tissue disorders, highlighting the need for evaluated strategies to mitigate healthcare disparities.
View Article and Find Full Text PDFAm J Prev Med
January 2025
Department of Health Policy and Management, Emory University Rollins School of Public Health, Atlanta, Georgia. Electronic address:
Interest is rapidly growing around screening for health-related social needs (HRSN) in direct patient care settings. The screening and provision of HRSN is often done in the context of trying to address social determinants of health (SDOH). While there is emerging evidence that screening and referral for HRSN can improve health outcomes, there are educational, operational, and systemic gaps that need to be filled in order for HRSN screening and referral to be implemented system-wide and result in meaningful improvement in population health outcomes.
View Article and Find Full Text PDFJ Patient Rep Outcomes
January 2025
Psycho-Oncology Cooperative Research Group, School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, 2006, Australia.
Purpose: Informal caregivers of people with high grade glioma (HGG) often have high levels of unmet support needs. Routine screening for unmet needs can facilitate appropriate and timely access to supportive care. We aimed to develop a brief screening tool for HGG caregiver unmet needs, based on the Supportive Care Needs Survey-Partners & Caregivers (SCNS-P&C).
View Article and Find Full Text PDFHealth Data Sci
January 2024
Department of Global Health, School of Public Health, Peking University, Beijing, China.
Digital exclusion is a global issue that disproportionately affects older individuals especially in low- and middle-income nations. However, there is a wide gap in current research regarding the impact of digital exclusion on the mental health of older adults in both high-income and low- and middle-income countries. We analyzed data from 5 longitudinal cohorts: the Health and Retirement Study (HRS), the English Longitudinal Study of Aging (ELSA), the Survey of Health, Ageing and Retirement in Europe (SHARE), the China Health and Retirement Longitudinal Study (CHARLS), and the Mexican Health and Aging Study (MHAS).
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