Identifying symptom cluster in cancer patients undergoing chemotherapy-in Vietnam: A cross-sectional study

Background Major cancer treatments can cause a wide range of unpleasant symptoms that burden oncology patients. Different symptom clusters (SC) among cancer patients have been reported in the literature. This study determined the prevalence of symptoms patients experience during chemotherapy treatment and identified symptom clusters among them. Methods A cross-sectional study was conducted among 213 cancer patients undergoing chemotherapy in three large hospitals in Vietnam. Symptoms were measured by the Memorial Symptom Assessment Scale. Results The most prevalent symptoms were lack of appetite (65.3%), difficulty sleeping (62.9%), dry mouth (57.7%), numbness (60.1%), hair loss (43.2%), change in the way food tastes (40.8%), and lack of energy (44.1%). Four symptom clusters were identified. Difficult concentration, pain, cough, and dizziness contributed to the first SC. The second one included lack of energy , numbness , change the food taste , and lack of appetite . Dry mouth , nausea , feeling bloated , problems with urination , hair loss , and constipation made up for the third SC. The final SC consisted of psychological symptoms, which were feeling nervous , feeling drowsy , feeling sad , worrying , problems with sexual interest or activity and difficulty sleeping . Conclusion The study demonstrated that respondents experienced various symptoms and symptom clusters during chemotherapy. These findings can be used to develop clinical guidelines for symptom assessment and management in oncology patients for healthcare professionals.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2024-09-20
DOI
https://doi.org/10.1371/journal.pone.0307725
Primary Topic
Cancer survivorship and care
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying symptom cluster in cancer patients undergoing chemotherapy-in Vietnam: A cross-sectional study

Huong Thi Xuan Hoang, Vi Pham Nhat, Quang Vinh Bui, Quyen Thi Le Le et al.
PLoS ONE
Cancer survivorship and care
article

Identifying symptom cluster in cancer patients undergoing chemotherapy-in Vietnam: A cross-sectional study

Huong Thi Xuan Hoang, Vi Pham Nhat, Quang Vinh Bui, Quyen Thi Le Le, Anh Thi Hong Nguyen
article en

Abstract

Background Major cancer treatments can cause a wide range of unpleasant symptoms that burden oncology patients. Different symptom clusters (SC) among cancer patients have been reported in the literature. This study determined the prevalence of symptoms patients experience during chemotherapy treatment and identified symptom clusters among them. Methods A cross-sectional study was conducted among 213 cancer patients undergoing chemotherapy in three large hospitals in Vietnam. Symptoms were measured by the Memorial Symptom Assessment Scale. Results The most prevalent symptoms were lack of appetite (65.3%), difficulty sleeping (62.9%), dry mouth (57.7%), numbness (60.1%), hair loss (43.2%), change in the way food tastes (40.8%), and lack of energy (44.1%). Four symptom clusters were identified. Difficult concentration, pain, cough, and dizziness contributed to the first SC. The second one included lack of energy , numbness , change the food taste , and lack of appetite . Dry mouth , nausea , feeling bloated , problems with urination , hair loss , and constipation made up for the third SC. The final SC consisted of psychological symptoms, which were feeling nervous , feeling drowsy , feeling sad , worrying , problems with sexual interest or activity and difficulty sleeping . Conclusion The study demonstrated that respondents experienced various symptoms and symptom clusters during chemotherapy. These findings can be used to develop clinical guidelines for symptom assessment and management in oncology patients for healthcare professionals.

PLoS ONEVol. 19(9)
Chinese University of Hong Kong (HK), Phenikaa University (VN), Bạch Mai Hospital (VN), Viet Duc Hospital (VN), Hanoi University (VN)
Openalex Percentile: Top 73%
Cancer survivorship and care
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.