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来源类型Publication
Early Identification of Potential SSDI Entrants in California: The Predictive Value of State Disability Insurance and Workers’ Compensation Claims
Frank Neuhauser; Yonatan Ben-Shalom; and David Stapleton
发表日期2018-12-01
出版者Journal of Occupational Rehabilitation, vol. 28, issue 4, edited by Yonatan Ben-Shalom and Jody Schimmel Hyde
出版年2018
语种英语
概述We examine the potential for using information in short-term disability claims to identify workers at high risk of leaving the workforce and entering Social Security Disability Insurance.",
摘要

Purpose. Examine the potential for using information in short-term disability claims to identify workers at high risk of leaving the workforce and entering Social Security Disability Insurance (SSDI).

Methods. We analyze state-wide California data on claimants of State Disability Insurance (SDI) and Workers’ Compensation (WC) and present statistics on: (1) characteristics (primary diagnosis, sex, age, geography, wage level) by claim duration (0–3, 4–6, 7–12, 12 + months); and (2) the ability of initial claim characteristics to predict duration of at least 12 months. All data are for claims with disability lasting more than 1 week.

Results. 22.2% of SDI claims last longer than 6 months and 12.5% last 12 months. More WC claims reach these durations: 33.7 and 18.6%, respectively. Long-term SDI and WC claimants are similar to SSDI awardees, nationwide, but differ in age distribution; they are typically younger.

Conclusions. Characteristics of SDI and WC claims can help predict claims likely to last 12 months, but more information is needed to effectively target early intervention services. Waiting longer to intervene improves targeting but risks missing opportunities where early intervention could be more effective. Collecting additional information at SDI or WC entry or soon thereafter could improve both the efficiency and timing of interventions.

URLhttps://www.mathematica.org/our-publications-and-findings/publications/early-identification-of-potential-ssdi-entrants-in-california-the-predictive-value-of-state
来源智库Mathematica Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/489440
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Frank Neuhauser,Yonatan Ben-Shalom,and David Stapleton. Early Identification of Potential SSDI Entrants in California: The Predictive Value of State Disability Insurance and Workers’ Compensation Claims. 2018.
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