Symptom cluster experiences in patients with oral cancer using mixed methods
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Asha Mathew Solomon Sathishkumar, PhD, MBA, MSN, BSN
- Sigma Affiliation
- Alpha Lambda
- Contributor Affiliation(s)
- University of Illinois, Chicago, Illinois, USA
Aims:
1. Identify distinct patient subgroups based on severity of symptoms using hierarchical cluster analysis (HCA) and latent profile analysis (LPA) and assess concordance between the two methods.
2. Examine if selected person-, disease-, and environment characteristics predict subgroup membership.
3. Explicate patients' lived experience of symptom clusters (SCs).
Dr. Asha Mathew Solomon Sathishkumar was a recipient of the Sigma Foundation for Nursing - Midwest Nursing Research Society Research Grant, 2020-2021 cohort.
The grant report and slide deck from the recipient's doctoral candidate dissertation defense are attached to this item record.
The Sigma Theta Tau International grant application that funded this research, in whole or in part, was completed by the applicant and peer-reviewed prior to the award of the Sigma grant. No further peer-review has taken place upon the completion of the Sigma grant final report and its appearance in this repository.
| Type | Presentation |
| Acquisition | Proxy-submission |
| Review Type | None: Sigma Grant Recipient Report
|
| Format | Text-based Document |
| Evidence Level | Cross-Sectional |
| Research Approach | Mixed/Multi Method Research |
| Keywords | Oral Cancer Patients; Symptom Clusters; Head and Neck Cancers; Lived Experiences |
| Grantor | University of Illinois, Chicago |
| Advisor | Sathishkumar, Asha Mathew Solomon |
| Level | PhD |
| Year | 2022 |
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