Comprehensive needs among patients with gastrointestinal cancer receiving chemotherapy: A cross-sectional latent profile analysis.
- 1The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China.
Abstract
To identify latent profiles of comprehensive needs among patients with gastrointestinal cancer receiving chemotherapy and examine factors associated with profile membership. This cross-sectional study included 341 adults with gastrointestinal cancer receiving chemotherapy at a tertiary hospital in Qingdao, China, from October 2024 to June 2025. Participants completed the Comprehensive Needs Assessment Tool in Cancer (CNAT), Strategies Used by People to Promote Health, Family APGAR Index, Comprehensive Scores for Financial Toxicity based on Patient-Reported Outcome Measures, and Fear of Progression Questionnaire-Short Form. Latent profile analysis was conducted using the eight CNAT domain scores. Factors associated with profile membership were examined using multinomial logistic regression with the three-step approach. Three profiles were identified based on most likely class membership: low needs-information priority group (38.1%), moderate needs-balanced group (40.5%), and high needs-medical priority group (21.4%). Education level, primary tumor site, number of chemotherapy cycles, stage, financial toxicity, self-management efficacy, and fear of progression were associated with profile membership. Comprehensive needs varied across three latent profiles. These exploratory profiles may support stratified needs assessment and supportive care planning. External validation in multicenter prospective studies is required before profile-based care is implemented.
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BibTeX
@article{shan2026comprehensive,
title = {{Comprehensive needs among patients with gastrointestinal cancer receiving chemotherapy: A cross-sectional latent profile analysis.}},
author = {Hui Shan and Hongyan Zhang and Nannan Song and Weiwei Bing and Lili Wei and Fang Liu},
journal = {Asia-Pacific journal of oncology nursing},
year = {2026},
month = sep,
doi = {10.1016/j.apjon.2026.101038},
url = {https://europepmc.org/article/MED/42997015},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Comprehensive needs among patients with gastrointestinal cancer receiving chemotherapy: A cross-sectional latent profile analysis.
AU - Hui Shan
AU - Hongyan Zhang
AU - Nannan Song
AU - Weiwei Bing
AU - Lili Wei
AU - Fang Liu
PY - 2026
DA - 2026/09/24
JO - Asia-Pacific journal of oncology nursing
DO - 10.1016/j.apjon.2026.101038
UR - https://europepmc.org/article/MED/42997015
AB - To identify latent profiles of comprehensive needs among patients with gastrointestinal cancer receiving chemotherapy and examine factors associated with profile membership. This cross-sectional study included 341 adults with gastrointestinal cancer receiving chemotherapy at a tertiary hospital in Qingdao, China, from October 2024 to June 2025. Participants completed the Comprehensive Needs Assessment Tool in Cancer (CNAT), Strategies Used by People to Promote Health, Family APGAR Index, Comprehensive Scores for Financial Toxicity based on Patient-Reported Outcome Measures, and Fear of Progression Questionnaire-Short Form. Latent profile analysis was conducted using the eight CNAT domain scores. Factors associated with profile membership were examined using multinomial logistic regression with the three-step approach. Three profiles were identified based on most likely class membership: low needs-information priority group (38.1%), moderate needs-balanced group (40.5%), and high needs-medical priority group (21.4%). Education level, primary tumor site, number of chemotherapy cycles, stage, financial toxicity, self-management efficacy, and fear of progression were associated with profile membership. Comprehensive needs varied across three latent profiles. These exploratory profiles may support stratified needs assessment and supportive care planning. External validation in multicenter prospective studies is required before profile-based care is implemented.
SN - 2347-5625
SN - 2349-6673
ER -