Yes

A 33 item questionnaire was used to gather information about demographics, information about cancer, symptoms associated with cancer and its treatment, disclosure of cancer at work, and work supports. Multivariate logistic regressions were run to determine the association of symptoms, disclosure and work adjustments and working during treatment and returning to work following treatment

The IPS Fidelity scale was applied to each site. Data was collected and scored consistent with the Fidelity Scale directions.

All three groups were surveyed every 2‚Äì3 months about doctor, hospital, and emergency room visits, calls to the Shepherd Center helpline, ulcer occurrences and characteristics, and employment status. Data on participant characteristics were analyzed using the Kruskal-Wallis rank sum test and k-sample chi-square tests for continuous and categorical variables. Outcome data were analyzed using Friedman‚ test to investigate response differences for multiple treatments applied to a series of subjects.

Eighty five studies were identified between 1980 and 2003 that reported on factors associated with employment outcomes post TBI. Among those fifty studies met the inclusion criteria for the second stage review. The criteria used to evaluate and rate the quality of methodology for each study was adapted on guidelines by Sherer 2002 and Pengel et. al. 2003.

All subjects were followed for 12 months with face-to-face interviews every three months to collect data on primary employment variables and secondary outcomes measured. After this initial 12 months, the follow-up period was extended to 24 months at all sites including telephone interviews every three months. MANCOVAs were used to determine treatment group differences over time on the outcome variables (employment index, perceived barriers to employment, level of disability, quality of life, depression, and sustaining care needs), controlling for specified covariates. This included study site, sex, and age.

Competitive employment was as a primary outcome measure and measured every three months. Competitive employment is "community jobs that pay at least minimum wage (directly by the employer to the employee) that any person can apply for, including full-time and part-time jobs." General rehabilitation outcomes were measured at baseline and 3-month follow-up interviews. Standardized measures used included 1) Alcohol Use Disorders Identification test, 2)The Craig Handicap Assessment and Reporting Technique (CHART), 3) VR-36 that measures health-related quality of life in veterans, and 4) The Quick Inventory of Depressive Symptomatology Self-Report.

Demographic variables were also collected such as age, sec, race/ethnicity, employment history, previous levels of income, educational background, legal history, lifetime employment history, vocational services history, duration of SCI, level of SCE, and type of family structure.

The main outcome measure was competitive employment in the community. Data was collected through subject interviews, chart extraction of sociodemographic information, medical and psychiatric information, Social Security benefits. Veterans were assessed using the Veterans RAND 36-item Health Survey, Quick Inventory for Depressive Symptomatology - Self-Report, and Craig Handicap Assessment and Reporting Technique. In addition, the IPS Fidelity Scale was used to measure the adherence to the SE model.

Power analysis pre study indicated that a total of 126 subjects were needed. Statistical analysis on the data included Student t test or Wilcoxon rank-sum tests, the Pearson chi-square test or Fisher exact test where appropriate. Effect sizes calculated for employment outcome data included rate ratios, and Cohen's d for continuous data, and Cramer's v for categorical data where appropriate. Analyses were performed with SAS version 9.2.

Authors identified 579 articles and reviewed to determine presence of reported employment rates. Of these, 60 articles were found to include employment rates for individuals with SCI. These articles were reviewed to identify critical factors related to employment after spinal cord injury.

A data extraction method was used to audit patient information relevant to the study. Team members were also asked to indicate which of 17 vocational rehabilitation strategies they used with their clients and to rate each in terms of effectiveness in achieving a successful job placement. which of five post job-placement strategies (email to client, weekly or fortnightly phone calls to client, weekly or fortnightly phone calls to employer, support/counseling outside client‚ work hours and regular scheduled workplace visits) they used and to evaluate their perceived effectiveness.

The following data were gathered from VESID central files for fiscal years 2001 (October 1, 2000–September 30, 2001) and 2002 (October 1, 2001–September 30, 2002): case status (26 successfully placed for 90 days, 28 closed after IPE-initiated, 30 closed before IPE initiated, 8 closed before IPE developed), weekly earnings at closure, hours worked per week at closure, cost of case services provided to each consumer, consumer demographic characteristics (gender, level of education, employment status at application, ethnicity, age), and name of the state VR counselor serving the consumer. By using case status, the proportion of successful closures (i.e., case status 26) were compared with unsuccessful closures (i.e., case status 8, 28, and 30) for the PWW counselors and other counselors in the catchment areas served by using Pearson chi-square analyses. One-tailed t tests were used to compare weekly earnings at closure, hours worked per week at closure, and cost of services for PWW consumers versus the matched consumers.

Data were entered into SPSS for windows version 10 and cleaned using logical searches. The data were analyzed without adjustment for the cluster design. This was because the inter-cluster correlation coefficient (ICC) was 0.00148, which leads to a design effect of 1.01. The small ICC means that individual behavior is only affected to a minor degree by cluster membership, meaning that the cluster design has little overall effect. To test any effect of the intervention the categorical variables were analyzed using tests and continuous variables were analyzed using independent t-tests. A stratified chi-square analysis was conducted to allow for differences between the groups at baseline. When examining factors associated with return to work differences within categories were compared using the z-test. For all statistical tests a significant p-value was set at 0.05.