Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
This study analyzed the Rehabilitation Services Administration (RSA) case service report (RSA-911) data for fiscal year 2004 to examine effects of demographic characteristics, work disincentives, and vocational rehabilitation services patterns on employment outcomes of persons with traumatic brain injuries (TBI). The results indicated that European Americans (53%) had appreciably higher competitive employment rates than Native American (50%), Asian Americans (44%), African Americans (42%), and Hispanic/Latino Americans (41%). Clients without co-occurring psychiatric disabilities had a higher employment rate (51%) than those with psychiatric disabilities (45%). Clients without work disincentives showed better employment outcomes (58%) than those with disincentives (45%). An important finding from this analysis was the central role of job search assistance, job placement assistance, and on-the-job support services for persons with TBI in predicting employment outcomes. A data mining technique, the exhaustive CHAID analysis, was used to examine the interaction effects of race, gender, work disincentives and service variables on employment outcomes. The results indicated that the TBI clients in this study could be segmented into 29 homogeneous subgroups with employment rates ranging from a low of 11% to a high of 82%, and these differences can be explained by differences in work disincentives, race, and rehabilitation service patterns.
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