Supportive care needs of breast cancer survivors with different levels of fear of cancer recurrence: A cross-sectional survey study

Validity and Reliability of the Korean Version of Supportive Care Needs Survey-Short Form 34 for Patients With Cancer: A Methodological Study

PURPOSE

The Supportive Care Needs Survey-Short Form 34 (SCNS-SF34) measures the perceived care needs of patients with cancer. This study aimed to evaluate the reliability and validity of the Korean version of the SCNS-SF34 (i.e., the SCNS-SF34-K).

METHODS

The SCNS-SF34 was translated into Korean following a World Health Organization translation guideline. We recruited 208 patients with cancer via an online survey in 2022. The data were analyzed using SPSS 27.0 and Amos 23.0, and the construct validity, known-group validity, and internal consistency were tested.

RESULTS

The SCNS-SF34-K validated the final five-factor model via confirmatory factor analysis. The SCNS-SF34-K's subscales demonstrated discriminant and convergent validity. In addition, known-group validity was confirmed using the Eastern Cooperative Oncology Group Performance Status Scale (t = -7.12), Patient Health Questionnaire-9 (t = -7.61), and Distress Thermometer (t = -9.22). McDonald's Omega coefficient for the total scale was .96, and each sub-domain ranged from .88 to .95.

CONCLUSION

This research provides initial findings on the validity and reliability of the SCNS-SF34-K, a tool for measuring the supportive care needs of Korean cancer patients. The SCNS-SF34-K demonstrates potential for evaluating various aspects of patient needs and may be valuable for both clinical oncology practice and research in Korea.

The relationship between psychological resilience, coping strategies and fear of cancer recurrence in patients with breast cancer undergoing surgery: A descriptive, cross-sectional study

PURPOSE

This study aims to determine the relationship between psychological resilience, coping strategies and the fear of cancer recurrence in women who have undergone surgical procedures due to breast cancer.

METHODS

The study was conducted using a descriptive, cross-sectional, and correlational research design. The sample of the study consisted of 252 women. Data were collected with The Patient Information Form, The Psychological Resilience Scale for Adults, The Ways of Coping Questionnaire and The Fear of Cancer Recurrence Inventory.

RESULTS

The mean scores of Psychological Resilience Scale for Adults, Fear of Cancer Recurrence Inventory, and the optimistic and self-confident subscales of the Ways of Coping Questionnaire among participants were found to be above average. The mean scores of the seeking social support and submissive subscales were at a moderate level, while the mean scores of the hopelessness approach subscale were below the moderate level. A moderate positive significant relationship was found between the total mean score of the Psychological Resilience Scale for Adults and the mean scores of the optimistic approach, self-confident approach, submissive approach, and seeking social support subscales of the Ways of Coping Questionnaire.

CONCLUSION

A direct relationship was found between psychological resilience and coping strategies. However, this relationship could not be found with fear of cancer recurrence. It was concluded that the level of psychological resilience and coping strategies among breast cancer survivors can be positively influenced through the implementation of professional interventions aimed at fostering growth, addressing the initial cancer diagnosis, and promoting healthy adaptation.

Needs of breast cancer survivors: a systematic review of quantitative data

This systematic review aimed to update the perceived needs of individuals with breast cancer (BC). Databases were searched for studies reporting quantitative data collected through validated assessment tools. Needs of adults with BC were reported by survivorship phase. The post-diagnosis and the post-surgery phases revealed the most needs; health system and information needs represented the greatest concern, with average Supportive Care Needs Survey-Short Form (SCNS-SF34) scores ranging from 62.0 to 75.8 post-diagnosis and from 45.0 to 67.8 post-surgery. Needs then seemed to decrease or remain stable up to within one year from diagnosis, when needs in all domains increased again; health system and information needs remained a priority. Younger age, side effects, type of treatment, and advanced stage were associated with the occurrence of unmet needs. The needs of BC survivors vary over the course of their cancer experience. This knowledge can assist the planning of appropriate assessments.

Latent profile analysis and related factors for fear of cancer recurrence among Chinese breast cancer patients in rehabilitation

PURPOSE

Fear of cancer recurrence (FCR) is a psychological problem often faced by breast cancer patients in the rehabilitation period. The aim of this study was to identify FCR subgroups of Chinese breast cancer patients in rehabilitation and to analysis the factors affecting each subgroup. The effects of the subgroups on quality of life (QoL) were also explored.

METHODS

Cross-sectional data were collected from 300 breast cancer patients in a rehabilitation setting. The researchers invited the subjects to complete questionnaires on FCR, fatigue, anxiety depression, perception of illness and QoL. The researchers conducted a latent profile analysis. The factors influencing the subgroups of FCR were identified using ANOVA and multinomial logistic regression analyses. Linear regression analyses were used to explore the effect of subgroups on QoL.

RESULTS

There were three subgroups of FCR: profile 1 'Low FCR Group' (42.3%), profile 2 'Moderate FCR Group' (45.6%), and profile 3 'High FCR Group' (12.1%). Cancer stage II was a protective factor for FCR patients (OR = 0.107, P < 0.01) and was more likely to be categorized among the low FCR group. Anxiety depression was a risk factor for FCR patients and was more likely to be categorized in the medium FCR group (OR = 1.764, P < 0.001) and in the high FCR group (OR = 2.911, P < 0.001). In addition, patients subjected to a high perception of illness were more likely to be considered in the medium FCR group (OR = 1.041, P < 0.05), a risk factor affecting patients with FCR. Linear regression analysis showed that subgroups with higher FCR had a stronger negative predictive effect on their QoL (all P < 0.001).

CONCLUSIONS

The FCR was identified as three subgroups among breast cancer patients in rehabilitation, which suggests that healthcare professionals should give full consideration to the impact of cancer stage, anxiety and depression, and illness perceptions on the FCR subgroups in order to improve their QoL.

Prediction of high-level fear of cancer recurrence in breast cancer survivors: An integrative approach utilizing random forest algorithm and visual nomogram

PURPOSE

This study is the first attempt to use a combination of regression analysis and random forest algorithm to predict the risk factors for high-level fear of cancer recurrence and develop a predictive nomogram to guide clinicians and nurses in identifying high-risk populations for high-level fear of cancer recurrence.

METHODS

After receiving various recruitment strategies, a total of 781 survivors who had undergone breast cancer resection within 5 years in four Grade-A hospitals in China were included. Besides demographic and clinical characteristics, variables were also selected from the perspectives of somatic, cognitive, psychological, social and economic factors, all of which were measured using a scale with high reliability and validity. This study established univariate regression analysis and random forest model to screen for risk factors for high-level fear of cancer recurrence. Based on the results of the multi-variable regression model, a nomogram was constructed to visualize risk prediction.

RESULTS

Fatigue, social constraints, maladaptive cognitive emotion regulation strategies, meta-cognition and age were identified as risk factors. Based on the predictive model, a nomogram was constructed, and the area under the curve was 0.949, indicating strong discrimination and calibration.

CONCLUSIONS

The integration of two models enhances the credibility of the prediction outcomes. The nomogram effectively transformed intricate regression equations into a visual representation, enhancing the readability and accessibility of the prediction model's results. It aids clinicians and nurses in swiftly and precisely identifying high-risk individuals for high-level fear of cancer recurrence, enabling the development of timely, predictable, and personalized intervention programs for high-risk patients.