Stability of Symptom Clusters in Patients With Gynecologic Cancer Receiving Chemotherapy
| Autor: | Rachel A. Pozzar, Lee-may Chen, Kord M. Kober, Marilyn J. Hammer, Steven M. Paul, Yvette P. Conley, Jon D. Levine, Frances Cartwright, Christine Miaskowski, Fay Wright, Bruce A. Cooper |
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| Rok vydání: | 2022 |
| Předmět: |
Adult
medicine.medical_specialty Adolescent Symptom clusters Genital Neoplasms Female medicine.medical_treatment Oncology and Carcinogenesis Psychological intervention Antineoplastic Agents Nursing Article Ovarian neoplasms Clinical Research Internal medicine Gynecologic cancer medicine Humans Chemotherapy Uterine neoplasms In patient Longitudinal Studies Cancer Exploratory factor analysis Oncology (nursing) business.industry Weight change Syndrome Statistical Relative stability Distress Oncology Symptoms Public Health and Health Services Female Genital Neoplasms Factor Analysis Statistical business Factor Analysis |
| Zdroj: | Cancer nursing, vol 45, iss 4 Cancer Nurs |
| Popis: | BACKGROUND Patients with gynecologic cancer undergoing chemotherapy experience multiple co-occurring symptoms. Understanding how symptom clusters change over time is essential to the development of interventions that target multiple co-occurring symptoms. OBJECTIVE The aim of this study was to assess the relative stability of symptom clusters across a chemotherapy cycle in patients with gynecologic cancer. METHODS This is a longitudinal, descriptive study. Eligible patients (n = 232) were English-speaking adults (≥18 years old) with gynecologic cancer. Data were collected in the week before patients' second or third cycle of chemotherapy (T1) and at 1 (T2) and 2 (T3) weeks after chemotherapy. Three dimensions of the symptom experience (occurrence, severity, and distress) were assessed using a modified version of the Memorial Symptom Assessment Scale. Symptom clusters for each dimension and time point were identified through exploratory factor analysis. RESULTS A 5-factor solution was selected for each exploratory factor analysis. Hormonal, respiratory, and weight change clusters were identified across all dimensions and time points. A psychological symptom cluster was identified at T1 for occurrence and severity and at T2 and T3 for all 3 dimensions. A gastrointestinal symptom cluster was identified at T1 for occurrence and at T2 and T3 for all 3 dimensions. The hormonal, respiratory, psychological, and weight change symptom clusters exhibited common symptoms across dimensions and time points. CONCLUSIONS Hormonal, respiratory, weight change, and psychological symptom clusters are relatively stable across a cycle of chemotherapy in patients with gynecologic cancer. IMPLICATIONS FOR PRACTICE Clinicians need to assess patients for multiple co-occurring symptoms and initiate multimodal interventions. |
| Databáze: | OpenAIRE |
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