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Much work to do about measuring work

delete2023-12-09
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OA
AI
C
Cathy J. Bradley *
S
Sara Kitchen
K
Kelsey M. Owsley
DOI:10.1093/jnci/djad258delete
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摘要

摘要

En 中文
Work ability is a critical economic and well-being indicator in cancer care. Yet, work ability is understudied in clinical trials and observational research and is often undocumented in medical records. Despite agreement on the importance of work from well-being, health insurance, and financial perspectives, standardized approaches for collecting, measuring, and analyzing work outcomes are lacking in the health-care setting. The necessary components for closing the gap in patient and caregiver employment research in health-care settings involve a common set of measures, including those that replace or translate generic measures of mental and physical functioning into work outcomes in observational and clinical trial research, standardized approaches to data collection and documentation, and the use of longitudinal data to understand the consequences of reduced work ability over time. We present a conceptual framework for the inclusion of work ability in outcomes research. We cover constructs for employment and work ability measurement that can be adopted in research, recorded as patient-level data, and used to guide treatment decisions. The inclusion of return to work and hours worked, productivity, and ability to perform in a similar job can support conversations that guide treatment decisions and minimize economic consequences. Our hope is that by considering impact on work ability, improved treatments will be developed, health inequities reduced, and resources directed toward aiding patients and their caregivers in balancing work and health demands.
Keyword:
BREAST-CANCER
IMPACT
EMPLOYMENT
ABILITY
SURVIVORS
WOMEN
LIFE

期刊

JNCI-Journal of the National Cancer Institute 封面图
JNCI-Journal of the National Cancer Institute
IF:
7.2
论文数:
6.2K
被引数:
3.3W

机构

C
Colorado School of Public Health
学者数:
2.1K
论文数: 1.8K
被引数: 2
U
university of colorado anschutz medical campus
学者数:
2.3W
论文数: 1.8W
被引数: 22
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