Introduction: Social support in the workplace has been has been demonstrated to serve as a contributor to a worker's ability to manage work demands and to manage stress. Research in the area of disability management indicates that interpersonal factors play an important role in the success of return-to-work interventions. The role of workplace support has received limited attention in rehabilitation, despite the salience of support to the disability management process. Prior to this study, there existed no validated quantitative measure of social support for workers who re-enter the workplace following injury or disability.
Methods: A support measure prototype, the Support for Workers with Disability Scale, was tested with 152 workers in accommodated work situations. Four validation tools were used to assess criterion validity. Factor analysis was used to validate the content structure and reduce the total number of response items. Additional analysis was conducted to determine the ability of the measure to discriminate between groups, and to provide insight into how social support operates in workplaces.
Results: Based on analysis, a reduced measure consisting of 41 items and measuring supervisor, co-worker, and non-work supports was created. Secondary analysis disclosed information concerning the nature of supports in the workplace. Higher levels of support were identified for workers with fewer work role limitations and for those with one versus multiple injury claims.
Conclusions: This tool provides a validated outcome measure for research examining the social aspects of workplace disability. It can also serve as a quality management tool for human resource professionals engaged in continuous improvement of disability management programs.
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http://dx.doi.org/10.1007/s10926-012-9357-1 | DOI Listing |
Medicine (Baltimore)
January 2025
Students Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Social media are Internet-based services that allow participation in online communities and exchanges. Considering the high and increasing statistics of the use of social media all over the world and its impact on people's lives, the present study aimed to determine the relationship between social media and nutritional attitudes and body image shame among Iranian female students. This cross-sectional study was performed on 201 female student of Tehran University of Medical Sciences in Tehran, Iran from May to December 2023.
View Article and Find Full Text PDFJCO Oncol Pract
January 2025
School of Nursing, Fudan University, Shanghai, China.
Purpose: To explore strategies related to cancer-related financial toxicity (FT) from the perspectives of cancer survivors and stakeholders in China and to evaluate their views within the context of the social ecological model (SEM).
Methods: Between March and July 2022, we conducted a descriptive qualitative study with semistructured interviews of 23 cancer survivors and 14 stakeholders. Qualitative content analysis on the basis of the SEM was used to analyze the data with NVivo 12.
J Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
View Article and Find Full Text PDFAm J Health Promot
January 2025
College of Social Work, University of South Carolina, Columbia, SC, USA.
Purpose: Artificially Intelligent (AI) chatbots have the potential to produce information to support shared prostate cancer (PrCA) decision-making. Therefore, our purpose was to evaluate and compare the accuracy, completeness, readability, and credibility of responses from standard and advanced versions of popular chatbots: ChatGPT-3.5, ChatGPT-4.
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