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Trajectory patterns and influencing factors of supportive care needs in Chinese elderly breast cancer patients

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Abstract

Aims and objectives

The aim of this study was to identify the trajectory patterns of supportive care needs in Chinese older patients with breast cancer and their predictive factors.

Methods

A total of 122 older patients with breast cancer were recruited. Demographic and disease-related information, type D personality, and supportive care needs were investigated at baseline, 3, and 6 months. Latent class growth model was used to identify the trajectory patterns of supportive care needs. Multiple logistic regression was used to determine the predictors for membership.

Results

Three trajectories with different characteristics of changing categories of supportive care needs were identified in the final analysis, named as “High needs decline group” (38.5%), “High needs sustained group” (51.6%), and “Low needs sustained group” (9.8%). Univariate analysis showed that age, education level, number of children, primary caregiver, pathological stage, surgical modality, treatment protocols, and personality traits were associated with the trajectory categories of supportive care needs of older patients with breast cancer. Multiple logistic regression showed that primary caregiver type, treatment protocols, and personality traits were influential factors in the trajectory of supportive care needs of older patients with breast cancer.

Conclusion

Our study demonstrates the heterogeneity of changes in supportive care needs. The supportive care needs of older patients with breast cancer show a trajectory of change in different categories, and healthcare providers can develop individualized interventions based on the characteristics of different patients.

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Data availability

Data can be made available upon request to the first author.

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Acknowledgements

We would like to thank the doctors and nurses of Rui** Hospital, Shanghai Jiao Tong University School of Medicine, for their support in collecting the questionnaire.

Funding

This research was supported by the Shanghai Jiao Tong University School of Medicine High-Level Local University Innovation Team (SHSMU-ZDCX20212801).

Author information

Authors and Affiliations

  1. School of Nursing, Shanghai Jiao Tong University, 288 Chongqing Nan Rd, Shanghai, 200025, China

    Suxing Wang, Yuan Li, Enming Zhang, Zhengyue Dai, Jiasong Cui, **aolong Wang & Qiong Fang

Authors
  1. Suxing Wang
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  2. Yuan Li
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  3. Enming Zhang
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  4. Zhengyue Dai
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  5. Jiasong Cui
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  6. **aolong Wang
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  7. Qiong Fang
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Contributions

Suxing Wang contributed to the conception of the study, performed the analysis, and wrote the manuscript; Yuan Li and Enming Zhang contributed significantly to manuscript preparation; Enming Zhang, Zhengyue Dai, Jiasong Cui, and **aolong Wang assisted with data collection and analysis; Qiong Fang contributed to the conception of the study and reviewed the manuscript. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Qiong Fang.

Ethics declarations

Ethical approval

The study has been approved by Shanghai Jiao Tong University School of Public Health and Nursing Research Ethics Committee approval (SJUPN-202106) and all methods were performed in accordance to the Declaration of Helsinki. All data were collected anonymously following informed consent, and participation was voluntary.

Competing interests

The authors declare no competing interests.

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Wang, S., Li, Y., Zhang, E. et al. Trajectory patterns and influencing factors of supportive care needs in Chinese elderly breast cancer patients. Support Care Cancer 31, 558 (2023). https://doi.org/10.1007/s00520-023-08003-y

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