Profiles of instrumental, emotional, and informational support in Chinese breast cancer patients undergoing chemotherapy: a latent class analysis

Ways of Coping with Stress in Women Diagnosed with Breast Cancer: A Preliminary Study

Background: Cancer diagnosis causes a range of different emotions. It is also a factor that causes feelings of severe stress. Coping with stress is individual and depends on the person's nature, environment, and support they receive. Aim: This study aimed to assess how women diagnosed with breast cancer cope with stress caused by the disease. Methods: A total of 111 women diagnosed with breast cancer participated in the study. The questionnaires were distributed electronically using Google Forms in online forums and groups on social media. The survey consisted of two parts: the original questions and the Mini-COPE questionnaire. The relationships between stress-coping strategies and age, having children, marital status, and life satisfaction were tested. The Mann-Whitney U test, Kruskal-Wallis test, and Dunn's post-hoc test with Bonferroni correction were used for the analyses (p < 0.05). Results: Of the surveyed women, 54.9% reported that the moment of diagnosis was the most stressful. Feelings of fear and anxiety accompanied 30.5% of the women, and 24.7% at the time of diagnosis could not provide information about the disease. The dominant strategies were seeking emotional support (mean 2.12 ± 0.56) and seeking instrumental support (mean 2.06 ± 0.48). Women in the older age group, married women, and women with children were most likely to adopt the strategy of turning to religion. Conclusions: The dominant strategies were seeking emotional and instrumental support. The strategy of turning to religion was used more often by older patients and patients with children.

Comorbidities And Reducing InEquitieS (CARES): Feasibility of self-monitoring and community health worker support in management of comorbidities among Black breast and prostate cancer patients

Background

Black individuals with cancer have a higher prevalence of comorbidities and a worse cancer prognosis than other racial groups in the US. As part of a quality improvement project, we aimed to demonstrate feasibility of self-monitoring and community health worker (CHW) support among managing comorbidities for Black individuals with breast or prostate cancer.

Methods

In a single arm, pre-post study, we enrolled patients with diabetes and/or hypertension who identified as Black and were diagnosed with 1) stage 0-IV breast cancer, or 2) prostate cancer and on long-term androgen-deprivation therapy. Participants received a home-monitoring device linked to a mobile app and worked with a CHW over six months to track their blood pressure (BP) and/or blood glucose (BG). PROMIS surveys assessed support and self-efficacy.

Results

Between May 2021-December 2022, 61 patients with breast or prostate cancer comorbid with hypertension (79 %) or hypertension and diabetes (21 %) enrolled. Once weekly self-recording of BP and BG was achieved in 92 % of individuals (with hypertension) and 77 % of individuals (with diabetes and hypertension). Participants (n = 47) who reported ≥4 readings in Months 1 and 6 demonstrated improved BP control (mean reduction = 4.07 mmHg); too few BG readings were collected to assess change. We observed a slight decrease in PROMIS scores for informational (mean 3.2, sd 8.0) and instrumental support (mean 3.6, sd 8.3).

Conclusions

A self-monitoring and CHW intervention is a feasible approach to monitor hypertension among Black cancer patients. Modifications are needed to improve BG monitoring and patient reported outcomes.

Identification of subgroups of self-reported outcomes among breast cancer patients undergoing surgery and chemotherapy: A cross-sectional study

Objectives

To identify the subgroups of self-reported outcomes and associated factors among breast cancer patients undergoing surgery and chemotherapy.

Methods

A cross-sectional study was conducted between January and November 2021. We recruited patients from two tertiary hospitals in Shanghai, China, using convenience sampling during their hospitalization. Patients were assessed using a questionnaire that included sociodemographic and clinical characteristics, the Patient Reported Outcomes Measurement Information System profile-29 (PROMIS-29), and the PROMIS-cognitive function short form 4a. Latent class analysis was performed to examine possible classes regarding self-reported outcomes. Multiple logistic regression analysis was used to determine the associated factors. Analysis of variance (ANOVA) was conducted for symptoms across the different classes.

Results

A total of 640 patients participated in this study. The findings revealed three subgroups in terms of self-reported outcomes among breast cancer patients undergoing surgery and chemotherapy: low physical-social-cognitive function, high physical-low cognitive function, and high physical-social-cognitive function. Multivariable logistic regression analysis showed that age (≥ 60 years old), menopause, the third chemotherapy cycle, undergoing simple mastectomy and breast reconstruction, duration of disease 3-12 months, stage III/IV cancer, and severe pain were associated factors of the functional decline groups. Besides, significant differences in depression and sleep disorders were observed among the three groups.

Conclusions

Breast cancer patients receiving surgery and chemotherapy can be divided into three subgroups. Aging, menopause, chemotherapy cycle, surgery type, duration and stage of disease, and severe pain affected the functional decline groups. Consequently, healthcare professionals should make tailored interventions to address the specific functional rehabilitation and symptom relief needs.

Following Medical Advice of an AI or a Human Doctor? Experimental Evidence Based on Clinician-Patient Communication Pathway Model

Medical large language models are being introduced to the public in collaboration with governments, medical institutions, and artificial intelligence (AI) researchers. However, a crucial question remains: Will patients follow the medical advice provided by AI doctors? The lack of user research makes it difficult to provide definitive answers. Based on the clinician-patient communication pathway model, this study conducted a factorial experiment with a 2 (medical provider, AI vs. human) × 2 (information support, low vs. high) × 2 (response latency, slow vs. fast) between-subjects design (n = 535). The results showed that participants exhibited significantly lower adherence to AI doctors' advice than to human doctors. In addition, the interaction effect suggested that, under the slow-response latency condition, subjects perceived greater health benefits and patient-centeredness from human doctors, while the opposite was observed for AI doctors.

Assessing the needs of patients with breast cancer and their families across various treatment phases using a Latent Dirichlet Allocation model: a text-mining approach to online health communities

PURPOSE

This study aimed to assess the different needs of patients with breast cancer and their families in online health communities at different treatment phases using a Latent Dirichlet Allocation (LDA) model.

METHODS

Using Python, breast cancer-related posts were collected from two online health communities: patient-to-patient and patient-to-doctor. After data cleaning, eligible posts were categorized based on the treatment phase. Subsequently, an LDA model identifying the distinct need-related topics for each phase of treatment, including data preprocessing and LDA topic modeling, was established. Additionally, the demographic and interactive features of the posts were manually analyzed.

RESULTS

We collected 84,043 posts, of which 9504 posts were included after data cleaning. Early diagnosis and rehabilitation treatment phases had the highest and lowest number of posts, respectively. LDA identified 11 topics: three in the initial diagnosis phase and two in each of the remaining treatment phases. The topics included disease outcomes, diagnosis analysis, treatment information, and emotional support in the initial diagnosis phase; surgical options and outcomes, postoperative care, and treatment planning in the perioperative treatment phase; treatment options and costs, side effects management, and disease prognosis assessment in the non-operative treatment phase; diagnosis and treatment options, disease prognosis, and emotional support in the relapse and metastasis treatment phase; and follow-up and recurrence concerns, physical symptoms, and lifestyle adjustments in the rehabilitation treatment phase.

CONCLUSION

The needs of patients with breast cancer and their families differ across various phases of cancer therapy. Therefore, specific information or emotional assistance should be tailored to each phase of treatment based on the unique needs of patients and their families.

Patient preferences and willingness to pay for central venous access devices in breast cancer: A multicenter discrete choice experiment

BACKGROUND

Despite being a significant management decision in clinical or nursing practice, there is limited understanding of the preferences regarding risks, benefits, costs, and other attributes of patients with breast cancer when selecting peripherally inserted central catheters or totally implanted ports. The objective of this study is to investigate the preferences of patients with breast cancer who require chemotherapy when selecting an optimal central venous access device.

METHODS

Data on patients' preferences for central venous access devices were collected using a face-to-face discrete choice experiment from the oncology departments of three public hospitals in China representing the eastern (Zhejiang province), central (Henan province), and western (Sichuan province) regions. The study used six attributes to describe the preferences of breast cancer patients for central venous access devices, including out-of-pocket cost, limitations in activities of daily living, catheter maintenance frequency, risk of catheter-related thrombosis, risk of catheter-related infection, and size of incision. Data were analyzed using a conditional logit model and mixed logit model. The marginal willingness to pay (mWTP) was calculated by assessing the ratio of the preference for other attributes to the preference for out-of-pocket cost.

RESULTS

A total of 573 respondents completed the survey. The discrete choice experiment results showed that respondents strongly preferred a central venous access device with a catheter maintenance frequency of one time a month (vs four times a month, β = 1.188, p < 0.001), the lower risk of catheter-related thrombosis (2 % vs 10 %, β = 1.068; p < 0.001) and lower risk of catheter-related infection (2 % vs 8 % risk: β = 0.824; p < 0.001). Respondents were willing to pay CNY ¥11,968.1 (US$1776.5) for a central venous access device with a catheter maintenance frequency of one time a month rather than four times a month, ¥10,753.6 (US$1596.2) for a central venous access device with 2 % thrombosis risk over one with 10 %, and ¥8302.0 (US$1232.3) for a central venous access device with 2 % infection risk over one with 8 %. Respondents with longer travel time to the hospital, younger than 50 years old, and with urban employee basic medical insurance were willing to pay more for an improvement in the attributes.

CONCLUSIONS

These findings suggest that patients with breast cancer were mainly concerned with the out-of-pocket cost, catheter maintenance frequency, risk of catheter-related thrombosis and risk of catheter-related infection when choosing a central venous access device for the delivery of chemotherapy. In clinical or nursing practice, when making central venous access device recommendation for young patients and those who live far from hospitals, totally implanted ports may be a preferable choice.

Identification of age differences in cancer-related symptoms in women undergoing chemotherapy for breast cancer in China

BACKGROUND

Both contextual and cancer-related factors could be identified as causes of the interindividual variability observed for symptoms experienced during breast cancer treatment with chemotherapy. Understanding age differences and the predictors of latent class memberships for symptom heterogeneity could contribute to personalized interventions. This study aimed to identify the role of age differences on cancer-related symptoms in women undergoing chemotherapy for breast cancer in China.

METHODS

A cross‑sectional survey was conducted among patients with breast cancer in three tertiary hospitals in central China between August 2020 to December 2021. The outcomes of this study included sociodemographic and clinical characteristics, Patient-Reported Outcomes Measurement Information System (PROMIS)-57 and PROMIS-cognitive function short form scores.

RESULTS

A total of 761 patients were included, with a mean age of 48.5 (SD = 11.8). Similar scores were observed across age groups for all symptoms except for fatigue and sleep disturbance domains. The most central symptoms varied among each group, and were fatigue, depression, and pain interference for the young-aged, middle-aged, and elderly-aged groups, respectively. In the young-aged group, patients without health insurance (OR = 0.30, P = 0.048) and in the fourth round of chemotherapy or above (OR = 0.33, P = 0.005) were more likely to belong to low symptom classes. In the middle-aged group, patients in menopause (OR = 3.58, P = 0.001) were more likely to belong to high symptom classes. In the elderly-aged group, patients with complications (OR = 7.40, P = 0.003) tended to belong to the high anxiety, depression, and pain interference classes.

CONCLUSIONS

Findings from this study indicated that there is age-specific heterogeneity of symptoms present for Chinese women being treated for breast cancer with chemotherapy. Tailored intervention should consider the impact of age to reduce patients' symptom burdens.

Profiles of social constraints and associated factors among breast cancer patients: a latent profile analysis

BACKGROUND

The present study aimed to identify profiles of social constraints among Chinese breast cancer patients and to explore the variables associated with these patterns.

METHODS

The study recruited 133 Chinese breast cancer patients in Liaoning Province, China, between June 2021 and February 2022. The questionnaire package included the Social Constraints Scale (SCS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), and the Social Impact Scale (SIS). The methods of statistical analysis used included latent profile analysis (LPA) and multinomial logistic regression.

RESULTS

Three latent patterns of social constraints were found: class 1-the low social constraints group (51.9%), class 2-the moderate social constraints group (35.3%), and class 3-the high social constraints group (12.8%). Patients with high social support were more likely to report a low level of social constraint, while patients with a greater fear of progression were more likely to report a moderate or high level of social constraints. Significant differences existed among the latent classes identified by reference to social constraint in terms of education.

CONCLUSION

These results suggest that breast cancer patients' perceptions of social constraints vary and exhibit individual differences. Health care providers should take into account patients' fear of progression as well as their social support when developing interventions for patients with a high level of social constraints.

Heterogeneity of symptoms and functions among women receiving chemotherapy for breast cancer in China: A multicentre, cross-sectional study

Background

Currently, few studies have explored the heterogeneity of symptoms and functions in patients with breast cancer. This study aimed to identify the subgroups of symptoms and functions in women receiving chemotherapy for breast cancer and determine whether the subgroups differed in demographic and clinical characteristics.

Methods

A cross-sectional multicenter survey involving five hospitals in Zhejiang, Shanghai, Shandong, and Guangxi provinces of Mainland China was implemented between August 2020 to December 2021. Participants completed questionnaires that included the PROMIS-57, PROMIS cognitive function short form, and demographic and clinical characteristics. Latent class analysis was performed, followed by chi-square test and analysis of variance. Subsequently, significant variables were included in multinomial logistic regression.

Results

A total of 1,180 patients were investigated, with an average age of 48.9 years. Three classes were identified: low symptom burdens and functions group (26.2%, Class 1), moderate symptom burdens and functions group (16.9%, Class 2), and low symptom burdens and high functions group (56.9%, Class 3). Compared with patients in Class 1 and 3, those in Class 2 consistently showed a higher tendency of having urban employee health insurance (odds ratio = 2.506, P &lt; 0.05) and rural health insurance (odds ratio = 2.207, P &lt; 0.05). Additionally, patients in Class 2 tended to be in their fourth cycle of chemotherapy. However, receiving chemotherapy and surgery increased the likelihood of belonging to Class 1.

Conclusions

A high proportion of patients experienced varying degrees of symptom and function issues, suggesting that attention is warranted for women with breast cancer undergoing chemotherapy. Patients with the urban employee basic medical system, the new rural cooperative medical system and in the early stage of chemotherapy cycles were more likely to have symptom burdens. Middle-aged postmenopausal women reported varying degrees of cognitive issues. Additionally, surgery increased the presence of potential long-term effects in functional levels.

Social support and subjective well-being among postgraduate medical students: the mediating role of anxiety and the moderating role of alcohol and tobacco use

Medical students often face pressures from various sources in the course of postgraduate studies, and these factors have a negative impact on their subjective well-being. Previous researches have revealed that social support is a vital factor influencing subjective well-being, but unfortunately the underlying mechanism for this is unclear, especially for postgraduate medical students. The current study has inspected the effects of social support on subjective well-being of postgraduate medical students, the mediating role of anxiety and the moderating role of alcohol and tobacco use in the association between social support and subjective well-being of postgraduate medical students. A sample of 900 postgraduate medical students (Mage = 27.01 years, SD = 3.33) from The Second Affiliated Hospital of Nanchang University completed the Social Support Rating Scale, the Generalized Anxiety Disorder-7, the Tobacco and Alcohol Use Questionnaire and the Subjective Well-Being Scale. Analysis of the structural equation model revealed that anxiety partially mediated the relationship between social support and subjective well-being of postgraduate medical students, while alcohol and tobacco use moderated the relationship between anxiety and subjective well-being of postgraduate medical students. This study revealed how social support act upon subjective well-being of postgraduate medical students. This study provides a theoretical basis for promoting and enhancing the subjective well-being of postgraduate medical students.