scholarly journals Symptom Experience in Patients with Gynecological Cancers: The Development of Symptom Clusters through Patient Narratives

2011 ◽  
Vol 9 (2) ◽  
pp. 64-71 ◽  
Author(s):  
Violeta Lopez ◽  
Gina Copp ◽  
Lisa Brunton ◽  
Alexander Molassiotis
2021 ◽  
Author(s):  
Daisy Massey ◽  
Anna D Baker ◽  
Diana Zicklin Berrent ◽  
Nick Güthe ◽  
Suzanne Pincus Shidlovsky ◽  
...  

AbstractTo introduce the perspective of patients who have PASC with vibrations and tremors as a prominent component, we leveraged the efforts by Survivor Corps, a grassroots COVID-19 patient advocacy group, to gather information from people in their Facebook group suffering from vibrations and tremors. Survivor Corps collected 140 emails and 450 Facebook comments from members. From the emails, we identified 22 themes and 7 broader domains based on common coding techniques for qualitative data and the constant comparative method of qualitative data analysis. Facebook comments were analyzed using Word Clouds to visualize frequency of terms. The respondents’ emails reflected 7 domains that formed the basis of characterizing their experience with vibrations and tremors. These domains were: (1) symptom experience, description, and anatomic location; (2) initial symptom onset; (3) symptom timing; (4) symptom triggers or alleviators; (5) change from baseline health status; (6) experience with medical establishment; and (7) impact on people’s lives and livelihood. There were 22 themes total, each corresponding to one of the broader domains. The Facebook comments Word Cloud revealed that the 10 most common words used in comments were: tremors (64), covid (55), pain (51), vibrations (43), months (36), burning (29), feet (24), hands (22), legs (21), back (20). Overall, these patient narratives described intense suffering, and there is still no diagnosis or treatment available.


2011 ◽  
Vol 22 (3) ◽  
pp. 275-282
Author(s):  
Karen H. Sousa ◽  
Carrie M. McDermott ◽  
Jason Weiss

In the highly technological environment of critical care, a comprehensive symptom assessment from the patient’s perspective is routine. There is a paucity of research related to symptom management in the critical care environment. The lack of understanding of the symptom experience for critical care patients could represent missed opportunities to manage symptoms and minimize suffering. This article discusses the importance of assessing symptoms and symptom clusters in critical care patients and challenges surrounding the assessment of symptom clusters. By understanding symptom clusters, critical care nurses can develop more comprehensive assessments, as well as more tailored intervention strategies.


2020 ◽  
pp. 105477382092048
Author(s):  
Chun-Yan Du ◽  
Si-Si Wu ◽  
Ying-Xin Fu ◽  
Han Wang ◽  
Jie Zhao ◽  
...  

Renal transplant recipients experience multiple symptoms, but complex relationships among these symptoms remain poorly understood. To explore the existence of symptom clusters in renal transplant recipients. A total of 295 renal transplant recipients were recruited in a hospital in Tianjin from October 2017 to January 2018. The participants completed the symptom questionnaire that assessed three symptom dimensions of 62 symptoms. Exploratory factor analysis was performed to identify symptom clusters. Five symptom clusters were extracted through exploratory factor analysis: emotional-sleep symptom cluster, pain-gastrointestinal symptom cluster, immune-related symptom cluster, lack of energy symptom cluster, and visual dysfunction symptom cluster, which explained 50.53% of the variance of symptom experience. Renal transplant recipients experienced a complex series of symptoms, and some symptoms related to one another formed a symptom cluster. Adopting a symptom cluster approach has the potential to remarkably enhance symptom assessment and nursing care for renal transplant recipients.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Andrew Nixon ◽  
Thomas Wilkinson ◽  
Hannah Young ◽  
Maarten Taal ◽  
Neil Pendleton ◽  
...  

Abstract Background and Aims Patients with chronic kidney disease (CKD) report high symptom-burden that adversely affects health-related quality of life (HRQOL). Frailty is an independent predictor of poor HRQOL in those with CKD. Although there is a clear relationship between frailty and HRQOL in patients with CKD, the associated relationship with symptom experience is not well understood. Understanding how living with both frailty and CKD influences symptom-burden could inform management strategies that improve HRQOL of this vulnerable patient group. This study’s aim was to evaluate the symptom experience of patients living with frailty and CKD. Methods A total of 353 participants were recruited between February 2018 and October 2018 to this cross-sectional observational study. Participants completed physical activity (GP Physical Activity Questionnaire [GPPAQ]), cardiopulmonary fitness (Duke Activity Status Index, providing estimated VO2 peak), symptom-burden (Kidney Symptom Questionnaire [KSQ]) and HRQOL (Short Form 12 [SF-12]) questionnaires. Frailty was assessed using a modified Frailty Phenotype comprising 3 self-report components: 1) weakness/slowness defined as a SF-12 Physical Functioning score <75; 2) low physical activity defined as ‘inactive’ by the GPPAQ; and 3) exhaustion defined as a SF-12 Vitality score <55. Participants were categorised as frail if ≥2 components were present. Multiple imputation was performed for data considered to be either missing completely at random or missing at random. Regression analyses were used to assess the association between frailty, symptom-burden and HRQOL. Principal Component Analysis (PCA) was performed to explore symptom clusters experienced by non-frail and frail participants. Results Two hundred and twenty-five (64%) participants were categorised as frail. Frail participants were significantly older (77.7 vs. 71.5 years, p<0.001) and had a significantly lower eGFR (45.8 vs. 50.9 mL/min/1.73m2, p<0.001), albumin concentration (39.2 vs. 41.4 g/L, p<0.001) and estimated VO2 peak (21.7 vs. 33.9 mL/kg/min, p<0.001) than non-frail participants. Frailty, when adjusted for age, sex, eGFR and haemoglobin, was independently associated with higher KSQ total symptom score (p<0.001) and lower SF-12 Physical Component Summary (PCS) and Mental Component Summary (MCS) scores (p<0.001 and p=0.001, respectively). Lower eGFR was associated with higher KSQ total symptom score (p=0.004) and lower SF-12 PCS score (p=0.01). Frailty, when adjusted for age, sex, eGFR and haemoglobin, was independently associated with a two- to over five-fold increase in odds of experiencing all reported symptoms frequently, except loss of appetite and urinary frequency. Lower eGFR was only associated with increased odds of reporting frequent loss of muscle strength (p=0.04). PCA revealed two symptom clusters for non-frail participants and three symptom clusters for frail participants. Both non-frail and frail participants had symptom clusters associated with sleep disturbance and musculoskeletal symptoms. There was an additional unique symptom cluster (comprising loss of appetite, tiredness, feeling cold and poor concentration) experienced by frail participants. Conclusion Frailty is an independent predictor of high symptom-burden and poor HRQOL. Furthermore, symptom experience for people living with frailty and CKD is distinct from non-frail individuals, reporting a unique symptom cluster that may be a consequence of the frailty syndrome itself. This group of patients should be offered a holistic assessment so that problematic symptoms can be identified and addressed early before they impact more significantly on HRQOL. Future efforts should be focused on evaluating holistic models of care, such as the comprehensive geriatric assessment, for patients living with frailty and CKD.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 152-153
Author(s):  
Yu-Ping Chang ◽  
Young Seo ◽  
Tania Von Visger

Abstract Family caregivers of older adults experience physical and psychological symptoms such as fatigue, insomnia, depression, or anxiety which may negatively impact their quality of life. Although those symptoms often co-occur, there is no prior research on symptom clusters identification among family caregivers. Symptom cluster analysis in chronic disease populations demonstrates usefulness in clinical management. An in-depth understanding of the pattern of symptom experience can guide intervention development to improve caregiving experience, coping skills, and well-being. This study aimed to identify symptom clusters as experienced by family caregivers in the US. We analyzed responses of 2,652 unpaid caregivers from the National Study of Caregiving (NSOC) III (2017) survey to identify underlying symptom clusters. The NSOC is a nationally representative survey of family caregivers to older adults with limited functions in daily activities. We used 17 binary items measuring the physiological and psychological symptoms of caregivers. We conducted a hierarchical cluster analysis with Ward linkage method to identify the symptom clusters. Three symptom clusters were identified based on the optimum silhouette width as follows: (1) Cluster 1 (lack of cheerfulness, peacefulness, and full of life, breathing problems, and sleep interrupted); Cluster 2 (feeling lonely, down, bored, nervous, worrisome, upset, and having little interest); and (3) Cluster 3 (limited strengths in arms and legs, having low energy, pain, and troubles falling back asleep). Our findings indicate that physical and psychological symptoms are highly preventable in family caregivers. Future research on symptoms management strategies can focus on targeting multiple symptoms based on their co-occurence.


2019 ◽  
Vol 58 (2) ◽  
pp. 224-234 ◽  
Author(s):  
Claire J. Han ◽  
Kerryn Reding ◽  
Bruce A. Cooper ◽  
Steven M. Paul ◽  
Yvette P. Conley ◽  
...  

2013 ◽  
Author(s):  
Blais Rebecca K. ◽  
Katherine D. Hoerster ◽  
Carol Malte ◽  
Stephen Hunt ◽  
Matthew Jakupcak

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