1 / 49

Career Readiness in Young Adult Brain Tumor Survivors

Overview. Overview of the problemOverview of Cognitive Information Processing Brief Review of foundational researchInitial results of current young adult career readiness study findingsApplications to service delivery. The Broad Problem . As the number of individuals surviving cancer continues to increase, career development and employment are becoming central factors that impact the individual's community integration and well-being. .

gilmore
Télécharger la présentation

Career Readiness in Young Adult Brain Tumor Survivors

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

    1. Career Readiness in Young Adult Brain Tumor Survivors David R. Strauser, Ph.D. Department of Kinesiology and Community Health October 19, 2009 1:00-2:30 p.m.

    2. Overview Overview of the problem Overview of Cognitive Information Processing Brief Review of foundational research Initial results of current young adult career readiness study findings Applications to service delivery

    3. The Broad Problem As the number of individuals surviving cancer continues to increase, career development and employment are becoming central factors that impact the individuals community integration and well-being.

    4. Cancer and Employment: Adults Employment rates of cancer survivors range from 41 to 84% Mean rate of 62% (Taskilia &Lindbohm, 2007) 16.8% of working age cancer survivors (vs. 5% for matched controls) are unable to work because of physical, mental, or emotional problems 7.4% (vs. 3.2% of matched controls) were limited in the kind or amount of work they could perform (Hewitt, Rowland, & Yancik, 2003) Long term cancer survivors One in five survivors reported cancer related disabilities with 50% continuing to work. 13% of all survivors had withdrawn from work for cancer related reasons within four years (Short et al, 2005)

    5. Cancer and Employment: Adult Unequal employment practices are forms of discrimination for cancer survivors (Feuerstein, et al., 2007) More likely to file claims related to job loss and differential treatment Cancer combined with another impairment increases relationship problems at work Duration of sick leave associated with difficulties in returning to work in cancer survivors (Amir et al. 2007) Males use less sick leave then females Males have longer sick leave Sick leave used most by those economically deprived

    6. Cancer and Employment: Young Adults Young adults who are childhood cancer survivors experience significant difficulty in obtaining employment Adult survivors of childhood cancer are twice as likely to be unemployed compared to their healthy controls 5 times more likely to be unemployed in CNS cancer survivors. (deBoer et al, 2006) Young adults who are childhood cancer survivors experience concerns about obtaining employment 19% with a history of childhood bone marrow transplant reported work as a major concern vs. 2% of their age matched controls (Bradley,2002) Co-Morbid health conditions (depression, anxiety, fatigue, cardiovascular disease, visual impairments, and impaired attention span) have been linked to difficulty in obtaining employment in childhood cancer survivors (deBoer et al, 2006)

    7. Career Development and Cancer Survivorship Career counseling has an important role with young cancer survivors Cognitive Information Processing (CIP) provides a theoretical model regarding the provision of career services Two core constructs Information Processing Domains Decision-Making Cycle

    8. Theoretical Assumptions (CIP) Career decision making involves both emotions (affect) and thoughts (cognition) Knowledge-content of career choice Process-what we need to do Knowledge and Emotions are dynamic states Impacted by health and disability (i.e. cancer) Career problem solving and decision making are skills that can be learned Can improve with practice Career counseling and resources

    9. Dysfunctional Career Thoughts Dysfunctional career thoughts lead to Avoidance of career and other life decisions Decreased life satisfaction Depression and anxiety Decreased job satisfaction Increased job stress Interpersonal relationship problems Expressed through Behavior-poor performance Verbal-negative statements and expressions Emotions-depression and anxiety

    11. Self-Knowledge Values, interests, skills, and employment preferences are influenced by Personal characteristics Life experience Values, interests, skills, and employment preferences may be influenced by Religious or spiritual beliefs Cancer Related Issues Symptom burden-fatigue, depression, anxiety, decreased concentration Receptive and Expressive skills

    12. Self-Knowledge Stored in episodic memory Perceptions rather than facts Influenced by interpretation of past events Influenced by present emotions

    13. Environmental Knowledge Knowledge of Environmental Demands Direct experience or observing others Expands over time Components of Environmental Knowledge Tasks Tools & Technology Knowledge (i.e. language, interpersonal) Skills & Abilities Work Activities (i.e. communicating, moving objects) Work Context ( i.e. contact with others) Work Styles (i.e. stress tolerance, dependability) Work Values (i.e. relationship, support, achievement) Interests Expressive and Receptive demands

    14. Occupational Knowledge Stored in semantic memory Verifiable facts rather than perceptions Not influenced by interpretation of past events Not influenced by present emotions

    15. Decision-Making Cycle

    16. Meta-Cognitions (Executive Processing Domain) Thoughts That Influence Decision Making Self-Talk Positive vs. Negative Self-Awareness Thoughts, Emotions and Behaviors Reactions of self to significant others Monitoring and Control Where they are in the process Purposeful engagement

    17. Two Dimensions of Career Readiness Capability Cognitive and affective ability to engage in effective career problem solving and decision making Career Thoughts Inventory (CTI) Subscales Decision Making Confusion (DMC) Commitment Anxiety (CA) Complexity Contextual factors, originating in the family, society, economy, or employing organizations that make it (more or less) difficult to solve career problems or make decisions CTI Subscale External Conflict (EC)

    18. Two Dimensional Model of Readiness

    19. Foundational Research Career Readiness and Disability

    20. Key Findings (Disability Specific) People with disabilities have increased levels of dysfunctional career thoughts compared to controls (Strauser et al, 2002, Strauser et al., 2004) The Career Thoughts Inventory (CTI) can be used with individuals with disabilities to identify their levels of career readiness (Lustig et al., 2003) Cognitive and affective states negatively impact career readiness (Yanchak et al., 2005; Strauser et al., 2006a; Strauser et al., 2006b) PWB is positively related to career readiness (Lustig et al, 2002; Lustig et al. 2008; Strauser et al, 2008)

    21. Key Findings (Broader Career Literature) Career services are effective in reducing negative career thoughts (Dipeolu et al. 2002) Completion of higher education is related to less dysfunctional career thoughts (Reardon, et al., 2000) Positive effect of Vocational and Career services for individuals with disabilities (Bolton & Akridge, 1995; Enright, 1995; Merz & Syzmanski, 2002)

    22. Current Research in Career Readiness and Young Adult CNS Survivors

    23. Purpose of Current Exploratory Study The overall purpose of this exploratory study is two fold. Examine the relationship between career readiness, vocational identify and relevant career and psycho-social outcomes in young adult brain tumor survivors Enhancing career readiness can increase career and vocational functioning and career and psycho-social outcomes Determine if we can classify brain tumor survivors according to their level of career readiness Classifying survivors according to their level of career readiness can guide the implementation of clinical and vocational interventions focused on improving career and employment outcomes.

    24. Aim 1 Aim 1 Examine the relationship between career readiness, vocational identity, and relevant work and psycho-social outcomes Ho: There will be a significant and positive relationship between career readiness, vocational identify, and relevant work and psycho-social outcomes

    25. Conceptual Model Guiding Aim 1

    26. Aim 2 Aim 2 Determine if it is feasible to classify brain tumor survivors according to their reported level of career readiness. Ho: Brain tumor survivors can be classified according their reported level of career readiness. Specifically, we hypothesize that we will be able to classify individuals into three groups (High, Moderate, and Low) which then can be used to guide the type, level, and implementation of career intervention

    27. Intervention Matrix for Aim 2

    28. Procedures Surveys distributed to young adult brain tumor survivors Age 18-30 IRB approval Research packet contained Demographic Form Career Thoughts Inventory (CTI) Contextual Work Behaviors (CWB) Community Integration Scale (CIS) Satisfaction with Life Scale (SWLS)

    29. Participating Sites Childrens Brain Tumor Foundation St. Jude Childrens Hospital Camp-Make-A-Dream Hope Advocate Hospital-Chicago L.A. Childrens Hospital-City of Hope

    30. Study Demographics

    31. Results Aim 1

    32. Aim 1 Results

    33. Multivariate Results Research Aim 1

    34. Multivariate Results Aim 1

    35. Summary Aim 1 Findings Career Thoughts significantly and positively related to vocational identity Complexity and capability not a unique predictor at this time Vocational identity significantly and positively related to: Contextual Work Behaviors (CWB) Community Integration (CIS) Individual Well-being (SWLS)

    36. Grouping Results Aim 2 Cluster analysis (Wards method) was used to classify participants into three groups. Results from Chi-square or F-statistics analysis indicated that all demographic characteristics, except were not significant (p > 0.05).

    37. Grouping Results Aim 2

    38. Grouping Results Aim 2

    39. Results Aim 2

    40. Differences on CTI across 3 Groups

    41. Conceptual Model

    46. Results Aim 2 Able to group cancer survivors according to their level of career readiness No differences in demographic variables Ethnicity-may emerge as significant (Low Group) Education-may emerge as significant (Low Group) No difference across groups for CWB-may emerge as significant CIS-may emerge as significant SWLS

    47. Implications for Practice Readiness assessment valuable as a means to identify level of career and vocational intervention High Readiness- Self-help Services Moderate Readiness- Brief Assisted Services Low Readiness- Intensive Services

    48. Implications Improving Readiness may increase CWB Job Maintenance behaviors Handling stress Making adjustments Dealing with co-workers Dealing with supervisors Improving Readiness may increase Community Integration Level of community support Level of independence Level of occupational participation

    49. Questions? Comments ?

    50. Research Team

More Related