Squamous Cell Carcinoma Clinical Trial
Official title:
School Response to Families Who Have Children With Cancer
Verified date | June 2017 |
Source | Stanford University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The purpose of this research is to investigate school response to families who have children with cancer. It is anticipated that the results of this study will enhance the support that schools can give to the population of families who have a child with cancer. The study will involve the parents in these families, the principal and an educator in the school of the child with cancer. Measurement tools will include surveys, interviews, and other relevant educational and medical documents.
Status | Withdrawn |
Enrollment | 0 |
Est. completion date | July 2011 |
Est. primary completion date | July 2011 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Patients will not be recruited. Only parents, the school principals and the teachers will be recruited. - Subjects will be 15 sets of parents who have had school-age children treated for cancer within the last 5 years. |
Country | Name | City | State |
---|---|---|---|
United States | Stanford University School of Medicine | Stanford | California |
Lead Sponsor | Collaborator |
---|---|
Stanford University |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Evidence of support | Identify significant patterns. Documents, interview, surveys and the quantitative instrument will be analyzed with an inductive cross-case analysis. Inductive analysis means that the patterns, themes, and categories emerged out of the data rather than being imposed on them prior to data collection and analysis. A cross-case analysis means that the information will be grouped together according to answers from different people, themes, perspectives or issues. Then, a content analysis will be conducted which includes the process of identifying, coding, and categorizing the primary patterns in the data. In the final step, the data will be interpreted. Interpretation, by definition, goes beyond description. Interpretation means attaching significance to what was found offering explanations, drawing conclusions, making inferences, building linkages, attaching meaning, imposing order and dealing with rival explanations | one time |
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