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School Response to Families Who Have Children With Cancer

School Response to Families Who Have Children With Cancer

Status
Withdrawn
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01148082
Enrollment
0
Registered
2010-06-22
Start date
2010-09-30
Completion date
2011-07-31
Last updated
2017-06-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Adenocarcinoma, Carcinomas, Squamous Cell Carcinoma

Keywords

Carcinomas (including Squamous Cell and Adenocarcinoma)

Brief summary

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.

Interventions

PROCEDURESelf administered Surveys
PROCEDUREInterviews

Sponsors

Stanford University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
Evidence of supportone timeIdentify 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

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026