Trajectories of physical symptom burden and psychological distress during the last year of life in patients with a solid metastatic cancer

Shafiq, Mahham; Malhotra, Rahul; Teo, Irene; Özdemir, Semra; Kanesvaran, Ravindran; Malhotra, Chetna

doi:10.1002/pon.5792

Cited by 15 publications

(16 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[3][4][5] These symptoms of terminal illness have mainly been studied and reported independently as discrete entities, with a focus on their prevalence and trajectories. 6 However, clinical observations and some empirical studies show that some symptoms consistently present as clusters, 7 such as fatigue-pain, 8 anxiety-depression-insomnia (neuropsychological), and nausea-vomiting (gastrointestinal). 9 A study of 1562 advanced cancer patients found four consistent clusters using different analysis methods: tense-worry-irritable-depressed, fatigue-pain, nausea-vomiting, and concentration-memory.…”

Section: Introductionmentioning

confidence: 99%

The connections of physical and psychosocial symptoms among patients with terminal illnesses: A network analysis

Jiao

Chow

2022

Palliat Med

View full text Add to dashboard Cite

Background: Patients with terminal illnesses have different symptoms. The goal of palliative care is to alleviate the suffering induced by these symptoms. Available research on symptoms has focused on their prevalence or identification of clusters. Little is known about the central symptoms contributing to the maintenance of the whole system of symptoms or the mechanism of influence between symptoms, particularly between physical and psychosocial symptoms. Aim: The study used network analysis to explore symptom clusters among patients with terminal illnesses and identify the central symptoms, the bridge symptoms, and pathways between physical and psychosocial symptoms. Design and Setting/Participants: This is a retrospective cohort study using baseline symptom assessment of 677 adults with terminal illnesses receiving care from the Integrated Community End-of-Life Care Support Teams. Results: Three symptom clusters were identified: physical, psychological, and practical clusters. “Weakness or lack of energy” was identified as the crucial symptom affecting the changes of other symptoms, followed by depression and anxiety. Three connections between the psychological and physical symptoms were identified: anxiety-pain, depression-constipation, and perceived family anxiety-poor appetite pathways. Pathways of practical concern-peace and practical concern-depression were indicated between practical and psychological symptoms. Conclusions: This study is the first of its kind to investigate the connections and mechanism of influence between symptoms among patients with terminal illnesses. It offers clear pathways for intervention with the most influential symptoms of weakness, anxiety, and depression.

show abstract

Section: Introductionmentioning

confidence: 99%

The connections of physical and psychosocial symptoms among patients with terminal illnesses: A network analysis

Jiao

Chow

2022

Palliat Med

View full text Add to dashboard Cite

show abstract

“…The value of entropy ranged from 0 to 1, and when it was 0.8, it indicated that the classification accuracy was more than 90%. 26 Lo-Mendell-Rubin (LMR) and Bootstrapped Likelihood Ratio Test (BLRT) were used to compare the difference in fit between the models. If both P values reached a significant level, the model with k classes was significantly better than that with k-1 classes.…”

Section: Methodsmentioning

confidence: 99%

Trajectories of Learned Helplessness in Maintenance Haemodialysis Patients and Their Predictive Effects on Self-Management: A Latent Growth Mixture Modeling Approach

Xie¹,

Li²,

Li³

2023

PRBM

View full text Add to dashboard Cite

Background Learned helplessness (LH) is an essential psychological factor influencing maintenance haemodialysis (MHD) patients’ health behaviour and is closely related to prognosis of the disease. This study aimed to identify potential trajectories of LH in MHD patients and assess their predictive role in self-management. Methods This study was conducted in strict compliance with national laws, the Declaration of Istanbul, and the Declaration of Helsinki. A total of 347 MHD patients at a blood purification centre in Hunan Province, China, were selected as the study population. Four longitudinal surveys (baseline and second/fourth/sixth month after baseline) were conducted using the General Information Questionnaire for MHD patients, the Chinese version of the Learned Helplessness Scale for MHD patients, and the Self-Management Scale for Haemodialysis. Latent growth mixture model (LGMM) analysis was used to identify LH trajectories, and their predictors were analysed using multinomial logistic regression. The predictive role of LH trajectory on self-management was analysed using linear regression. Results This study identified three LH trajectories in MHD patients, named the “high-decreasing group” (57.9%), “low-increasing group” (21.3%), and “low-stability group” (20.7%). The results of the univariate analysis showed that sex (χ 2 =33.777, P < 0.001), age (χ 2 =10.605, P <0.05), and subjective social status (SSS) (χ 2 =12.43, P <0.01) were associated with LH trajectory classes. Multinomial logistic regression further demonstrated that gender, age, and SSS were predictors of different LH trajectories. The intercept and slope of the overall LH trajectory were negatively correlated with self-management (β=−0.273, P <0.001; β=−0.234, P <0.01). Conclusion MHD patients show three different LH trajectories. The initial level and developmental rate of LH can negatively predict future self-management. It is necessary to screen MHD patients’ LH and develop targeted interventions for them with different LH trajectories at specific stages.

show abstract

“…Six studies included only women with advanced stage cancer: three ovarian, one cervical, and two included various cancer sites (gynecological cancers grouped together, and ovarian cancer in addition to other cancers). 23,33,39,44,50,54 Most studies (n = 18; 86%) were quantitative, and two-thirds of the studies were conducted in either Asia, Australia, or Europe. The recruitment of study participants spanned from 1987 to 2021.…”

Section: Study Characteristicsmentioning

confidence: 99%

Survivorship research in advanced gynecological cancer: A scoping review of cohort studies

DiSipio,

Pearse,

Jordan

2023

Cancer Medicine

View full text Add to dashboard Cite

BackgroundRecent calls to action highlight the need to address gaps in our understanding of survivorship for those living with advanced gynecological cancer to support optimal care. To ensure future research fills these knowledge gaps, we need to understand the breadth of existing survivorship research in this patient group, including the outcomes assessed, the populations included and the duration and retention in follow‐up.MethodsWe conducted a systematic scoping review searching PubMed, PsychINFO, and CINAHL during the month of November 2022 to identify prospective cohort studies measuring survivorship outcomes among participants with advanced (stage III–IV) gynecological cancer, or in cohorts in which ≥50% of participants had advanced cancer, or which provide results separately for patients with advanced cancer. Articles were screened, and data extracted using a standard form.ResultsWe assessed 33 articles from 21 unique studies, which overall included 6023 participants with gynecological cancer. Of these, 45% had cervical cancer, 44% ovarian, 10% endometrial/uterine, and 1% vaginal/vulvar cancer. The most frequently measured survivorship outcome was quality of life. Of the 33 articles, most reported on participant age (n = 31), but relatively few reported on comorbidities (n = 10), physical status (n = 6), ethnic background (n = 4), the country of birth (n = 2), or the area of participant residence (n = 2). None included details on indigenous status. Recruitment proportions ranged from 48% to 100%. Retention proportions ranged from 15% to 97%.ConclusionOur findings highlight gaps in survivorship research for advanced gynecological cancers and emphasize the need for future studies to include and describe the experiences of diverse and underrepresented groups.

show abstract

Trajectories of physical symptom burden and psychological distress during the last year of life in patients with a solid metastatic cancer

Cited by 15 publications

References 38 publications

The connections of physical and psychosocial symptoms among patients with terminal illnesses: A network analysis

The connections of physical and psychosocial symptoms among patients with terminal illnesses: A network analysis

Trajectories of Learned Helplessness in Maintenance Haemodialysis Patients and Their Predictive Effects on Self-Management: A Latent Growth Mixture Modeling Approach

Survivorship research in advanced gynecological cancer: A scoping review of cohort studies

Contact Info

Product

Resources

About