Body changes after cancer: female cancer patients' perceived social support and their perspective on care

Changes in unmet care needs, social support and distress from initial diagnosis to post-surgery in patients with gynecological cancer: A longitudinal study

PURPOSE

This study aimed to explore the changes in unmet care needs, perceived social support, and levels of distress experienced by newly diagnosed Greek patients with gynecological cancer during the phase after diagnosis and before surgical treatment (T0), and 4 months after surgical treatment at the first postoperative follow-up visit (T1).

METHODS

This was a prospective, longitudinal, descriptive study based on the framework of stress and coping theory. The Needs Evaluation Questionnaire, Depression, Anxiety and Stress Scale (DASS-21), Multidimensional Scale of Perceived Social Support (MSPSS), and a demographic and clinical data questionnaire were distributed to a convenience sample of 86 patients.

RESULTS

A convenience sample of 86 patients newly diagnoised with gynecological cancer participated in the study. The mean age of the participants was 60.7 years (SD = 10.9 years) while 57.6% of them were married. Overall, patients' needs and social support had significantly decreased at T1 compared to T0 (p = 0.005 and p = 0.029, respectively). DASS-21 subscale scores did not change significantly at T1, whereas anxiety levels were significantly lower at follow-up (p = 0.048). Changes in anxiety levels were associated with changes in needs related to family (p < 0.001), need for assistance/care (p = 0.013) and support (p = 0.004), and total needs (p = 0.004).

CONCLUSION

The phase following cancer diagnosis and awaiting surgery is a high-risk period for the mental health of women with gynecological cancer, and one that requires special attention from healthcare professionals. By identifying unmet needs, addressing anxiety and providing appropriate social support, healthcare professional can contribute significantly to improving patients' quality of life throughout their cancer journey.

Enablers, barriers and strategies to build resilience among cancer survivors: a qualitative study protocol

Cancer is a life-threatening illness affecting all dimensions of a person's health. Cancer survivors must build resilience to face this adversity and continue their life projects. The present study explores the enablers, barriers, and strategies to build resilience among cancer survivors. This qualitative, descriptive exploratory study will use purposive sampling to recruit cancer survivors and healthcare professionals from two hospital centers in Lisbon and Tagus Valley. Interviews will be conducted until data saturation occurs. Data analysis will be performed using an inductive content analysis process with the help of the QDA Miner Lite database. The findings from this study will generate knowledge that may help stakeholders to identify effective strategies to build resilience among cancer survivors. By implementing strategies to foster resilience, healthcare professionals can potentially promote positive adaptations to cancer by strengthening resilience enablers and reducing the impact of barriers.

Factors associated with the sleep disturbances of people with breast cancer during chemotherapy in China: A cross-sectional study

AIM

The aim of the study was to investigate the incidence of sleep disturbance and its relationship with anxiety and depression symptoms, social support and hope in breast cancer patients in China during chemotherapy.

DESIGN

A single-centre cross-sectional study.

METHODS

A total of 329 breast cancer patients were selected via convenience sampling method before they began chemotherapy (n = 115), before the 5th week of chemotherapy (n = 117) or 1 month after chemotherapy ended (n = 97) and administered paper-and-pencil questionnaires to evaluate sleep quality, depression and anxiety symptoms, social support and hope. Risk factors significantly associated with sleep disturbance during bivariate were incorporated in the multivariate analysis. Bivariate analyses showed that age, menopausal status, depression and anxiety symptoms, emotional/informational support, tangible support, affectionate support, positive social interaction and total support were predictors of sleep disturbance.

RESULTS

Sleep disturbance was prevalent in breast cancer patients before (27.0%), during (32.5%) and after (39.2%) chemotherapy, with 37.4%, 41.9% and 52.6% of participants, respectively, reporting sleeping below the recommended 7 h. Only 8.6%-15.5% of patients reported taking sedative-hypnotic drugs during the chemotherapy. Multivariate analyses found that participants reporting clinically significant anxiety (HADS > 8) were 3.5 times more likely to report sleep disturbance (PSQI > 8) than participants without clinically significant anxiety, and each increment in emotional/informational support was associated with a 9.04% reduced risk of sleep disturbance. Moreover, age was an independent predictor of sleep disturbance during multivariate modelling.

Serum metabolomics reveals the effects of accompanying treatment on fatigue in patients with multiple myeloma

PURPOSE

The renewal and iteration of chemotherapy drugs have resulted in more frequent long-term remissions for patients with multiple myeloma (MM). MM has transformed into a chronic illness for many patients, but the cancer-related fatigue (CRF) of many MM convalescent patients experience is frequently overlooked. We investigated whether the accompanying treatment of family members would affect MM patients' CRF and explore their serum metabolomics, so as to provide clinicians with new ideas for identifying and treating CRF of MM patients.

METHODS

This was a single-center study, and a total of 30 MM patients were included in the study. Patients were divided into two groups based on whether they have close family members accompanying them through the whole hospitalization treatment. These patients received regular chemotherapy by hematology specialists, and long-term follow-up was done by general practitioners. Patients' CRF assessment for several factors used the Chinese version of the Brief Fatigue Inventory (BFI-C). Face-to-face questionnaires were administered at a time jointly determined by the patient and the investigator. All questionnaires were conducted by a general practitioner. The LC-MS-based metabolomics analysis determined whether the patients' serum metabolites were related to their fatigue severity. A correlation analysis investigated the relationship between serum metabolites and clinical laboratory indicators.

RESULTS

The fatigue severity of MM patients whose family members participated in the treatment process (group A) was significantly lower than patients whose family members did not participate in the treatment process (group B). There was a statistically significant difference (fatigue severity composite score: t =  - 2.729, p = 0.011; fatigue interference composite score: t =  - 3.595, p = 0.001). There were no differences between the two groups of patients' gender, age, regarding clinical staging, tumor burden, blood routine, biochemical, or coagulation indexes. There were 11 metabolites, including guanidine acetic acid (GAA), 1-(Methylthio)-1-hexanethiol, isoeucyl-asparagine, L-agaritine, tryptophyl-tyrosine, and betaine, which significantly distinguished the two groups of MM patients. GAA had the strongest correlation with patient fatigue, and the difference was statistically significant (fatigue severity composite score: r = 0.505, p = 0.0044; fatigue interference composite score: r = 0.576, p = 0.0009). The results showed that GAA negatively correlated with albumin (r =  - 0.4151, p = 0.0226) and GGT (r =  - 0.3766, p = 0.0402). Meanwhile, GAA positively correlated with PT (r = 0.385, p = 0.0473), and the difference was statistically significant.

CONCLUSION

The study is the first to report that family presence throughout the whole hospitalization may alleviate CRF in MM patients. Moreover, the study evaluated serum metabolites linked to CRF in MM patients and found that CRF has a significant positive correlation with GAA. GAA may be a more sensitive biomarker than liver enzymes, PT, and serum albumin in predicting patient fatigue. While our sample may not represent all MM patients, it proposes a new entry point to help clinicians better identify and treat CRF in MM patients.

The Use of Natural Language Processing to Assess Social Support in Patients With Advanced Cancer

BACKGROUND

Data examining associations among social support, survival, and healthcare utilization are lacking in patients with advanced cancer.

METHODS

We conducted a cross-sectional secondary analysis using data from a prospective longitudinal cohort study of 966 hospitalized patients with advanced cancer at Massachusetts General Hospital from 2014 through 2017. We used NLP to identify extent of patients' social support (limited versus adequate as defined by NLP-aided review of the Electronic Health Record (EHR)). Two independent coders achieved a Kappa of 0.90 (95% CI: 0.84-1.00) using NLP. Using multivariable regression models, we examined associations of social support with: 1) OS; 2) death or readmission within 90 days of hospital discharge; 3) time to readmission within 90 days; and 4) hospital length of stay (LOS).

RESULTS

Patients' median age was 65 (range: 21-92) years, and a plurality had gastrointestinal (GI) cancer (34.3%) followed by lung cancer (19.5%). 6.2% (60/966) of patients had limited social support. In multivariable analyses, limited social support was not significantly associated with OS (HR = 1.13, P = 0.390), death or readmission (OR = 1.18, P = 0.578), time to readmission (HR = 0.92, P = 0.698), or LOS (β = -0.22, P = 0.726). We identified a potential interaction suggesting cancer type (GI cancer versus other) may be an effect modifier of the relationship between social support and OS (interaction term P = 0.053). In separate unadjusted analyses, limited social support was associated with lower OS (HR = 2.10, P = 0.008) in patients with GI cancer but not other cancer types (HR = 1.00, P = 0.991).

CONCLUSION

We used NLP to assess the extent of social support in patients with advanced cancer. We did not identify significant associations of social support with OS or healthcare utilization but found cancer type may be an effect modifier of the relationship between social support and OS. These findings underscore the potential utility of NLP for evaluating social support in patients with advanced cancer.

Associations of body image with depressive symptoms and PTG among breast cancer patients: The mediating role of social support

Background

Cancer diagnosis and treatment usually trigger positive and negative psychological health outcomes. Social support is a coping resource for psychological health outcomes. However, little research is available on the relationships between social support, body image, and overall psychological health outcomes in breast cancer (BC) patients. This study aimed to estimate the prevalence of depressive symptoms and post-traumatic growth (PTG) and examine the mediating roles of social support between body image and depressive symptoms and PTG among BC patients, respectively.

Methods

A cross-sectional study was conducted in the Northeast China from December 2015 to August 2017. All the participants were diagnosed with BC and underwent surgery. This study was conducted with 405 BC patients from the First Affiliated Hospital of China Medical University. Participants completed the Center for Epidemiologic Studies Depression scale, Post Traumatic Growth Inventory, Body Image Scale, and Perceived Social Support Scale. The associations of social support, body image with depressive symptoms, and PTG were examined by hierarchical linear regression analysis. Asymptotic and resampling strategies were used to explore the mediating role of social support.

Results

The prevalence of depressive symptoms was 88.1%, and 67.2% of the patients had moderate-high PTG, 52.84% of the patients had body concerns, and 264 (65.19%) patients had high-level social support. Body image was positively associated with depressive symptoms (β = 0.445, P < 0.001) and social support was negatively associated with depressive symptoms (β = −0.219, P < 0.001). Body image was negatively associated with PTG (β = −0.095, P = 0.023), whereas social support was positively associated with PTG (β = 0.533, P < 0.001). Social support significantly mediated the associations among body image, depressive symptoms (effect size = 0.057), and PTG (effect size = −0.304), respectively.

Conclusions

Social support played mediating role in the relationships between body image and depressive symptoms and PTG. The interventions based on social support and body image should be included in psychological health prevention.

Resilience and related factors in colorectal cancer patients: A systematic review

PURPOSE

To explore resilience and its related factors in adult colorectal cancer patients.

METHODS

Three databases (CINAHL, Scopus and PubMed) were searched for literature published from January 2009 to February 2021 using the terms colorectal and resilience or resilient or resiliency. The review was registered with PROSPERO and followed the PRISMA statement guidelines.

RESULTS

The studies (n = 11) showed that most colorectal cancer patients exhibit moderate levels of resilience. Resilience was identified as a mediator in the positive or negative aspects of illness, while three studies investigated resilience as an outcome variable. Resilience was associated with social support, mental and physical burden, post-traumatic growth, hope, and quality of life. The studies showed that resilience might not be an immutable situation; social support seemed to provide patients the tools necessary for managing their illness, as well as helped them confront future events. The interventions designed to help with self-care issues and coping strategies eased a patient's mental and physical burden, and improved resilience.

CONCLUSIONS

Resilience among colorectal cancer patients was connected to both negative and positive aspects of the illness. Psychosocial and illness-related practical support might be key for strengthening resilience in these patients. However, longitudinal and intervention studies are required to confirm these indications. Research should study resilience as an outcome variable and provide information related to resilience at different phases of cancer, and what type of support is offered by professionals.

Association of Social Support With Overall Survival and Healthcare Utilization in Patients With Aggressive Hematologic Malignancies

BACKGROUND

Social support plays a crucial role for patients with aggressive hematologic malignancies as they navigate their illness course. The aim of this study was to examine associations of social support with overall survival (OS) and healthcare utilization in this population.

METHODS

A cross-sectional secondary analysis was conducted using data from a prospective longitudinal cohort study of 251 hospitalized patients with aggressive hematologic malignancies at Massachusetts General Hospital from 2014 through 2017. Natural Language Processing (NLP) was used to identify the extent of patients' social support (limited vs adequate as defined by NLP-aided chart review of the electronic health record). Multivariable regression models were used to examine associations of social support with (1) OS, (2) death or readmission within 90 days of discharge from index hospitalization, (3) time to readmission within 90 days, and (4) index hospitalization length of stay.

RESULTS

Patients had a median age of 64 years (range, 19-93 years), and most were White (89.6%), male (68.9%), and married (65.3%). A plurality of patients had leukemia (42.2%) followed by lymphoma (37.9%) and myelodysplastic syndrome/myeloproliferative neoplasm (19.9%). Using NLP, we identified that 8.8% (n=22) of patients had limited social support. In multivariable analyses, limited social support was associated with worse OS (hazard ratio, 2.00; P=.042) and a higher likelihood of death or readmission within 90 days of discharge (odds ratio, 3.11; P=.043), but not with time to readmission within 90 days or with index hospitalization length of stay.

CONCLUSIONS

In this cohort of hospitalized patients with aggressive hematologic malignancies, we found associations of limited social support with lower OS and a higher likelihood of death or readmission within 90 days of hospital discharge. These findings underscore the utility of NLP for evaluating the extent of social support and the need for larger studies evaluating social support in patients with aggressive hematologic malignancies.

Health-Related Quality of Life: Longitudinal Analysis From the Time of Breast Biopsy Into the Post-treatment Period

Background: The physical, psychological, social, and spiritual quality of life (QoL) may be affected by breast cancer diagnosis and treatment, with mixed findings for psychological quality of life and cognitive ability performance. The present study aimed to evaluate QoL in women over 1 year from biopsy for a breast abnormality. Methods: Self-reported measures of physical, psychological, social, and spiritual QoL were obtained after biopsy results but prior to treatment initiation (baseline), 4 and 12 months later. CogState computerized neuropsychological screening battery also provided an evaluation of psychological QoL. Three groups of women including those with benign biopsy results, those with malignancy treated with chemotherapy, and those with malignancy not treated with chemotherapy were compared at 4 and 12 months after adjusting for baseline to isolate the effects of treatment. Additional covariates included are age, level of education, and income. Results: Benign biopsy results group included 72 women, whereas malignancy was found in 87 women of whom 33 were treated with chemotherapy and 54 without chemotherapy. At the time of diagnosis, women with cancer had worse psychological and social QoL but better spiritual QoL than those with benign biopsy results. Only CogState monitoring accuracy was worse for women with cancer compared with the controls at the time of biopsy results. After adjusting for QoL at baseline, women treated for cancer had worse physical and social QoL at 4 and 12 months later. Psychological well-being was worse for women with cancer at 4th month but improved at 1 year. No differences in cognition were found at 4 and 12 months when adjusted for baseline cognition and covariates. Discussion: Breast cancer is a traumatic life event for women, affecting psychological and social QoL domains, yet increasing spiritual QoL. Later, cancer treatment worsens physical, psychological, and social QoL compared with those without cancer. Conclusions: These findings suggest that interventions to improve psychological QoL may be especially important at the time of cancer diagnosis, while interventions to improve physical well-being are the most needed during and following cancer treatment. Support to improve social QoL is needed from the time of diagnosis into post-treatment survivorship.

Relationship between perceived social support and psychological hardiness with family communication patterns and quality of life of oncology patients

AIM

The purpose of this study was to determine the relationship between PSS, PH, FCP and QoL of oncology patients.

METHODS

In this descriptive-correlational study, 340 oncology patients were selected with convenience sampling method from the hospitals in Tehran 2018-2019. Data were collected using, "PSS," "PH," "FCP" and "European Organization for Research and Treatment of Cancer Quality of Life Questionnaire, EORTC QLQ-C30." Data were analysed using descriptive and inferential statistics using SPSS21 and Amos.

RESULTS

The direct effect and the total effect of PSS and FCP on QoL were significant (p < .001), but their indirect effect was not significant (p > .05) and the effect of PH on QoL was not significant (p = .96). The Root Mean Squares of Error Approximations (RMSEA), Non-Normed Fit Index (NNFI), Comparative Fit Index (CFI) and Goodness of Fit Index (GFI) were estimated 0.07, 0.97, 0.98 and 0.91, respectively.