A health‐related quality of life model for patients undergoing haemodialysis

Self-rated health and health-related quality of life among cancer patients: the serial multiple mediation of anxiety and depression

BACKGROUND

Health-related quality of life (HRQOL) in cancer patients has attracted increasing attention, which may be associated with self-rated health (SRH), anxiety, and depression. However, limited studies have focused on the mediating role of anxiety and depression in the relationship between SRH and HRQOL among cancer patients. Therefore, this study aims to explore the serial multiple mediating effects of anxiety and depression between SRH and HRQOL in cancer patients.

METHODS

This cross-sectional study investigated a total of 565 hospitalized cancer patients in Anhui province in China from November 2020 to October 2021. SRH was assessed using a single-item measure, anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS) and HRQOL was assessed using the EuroQol-5 Dimension (EQ-5D, three-level version). Socio-demographic and clinical characteristics were analyzed using descriptive statistics. The relationships between SRH, anxiety, depression, and HRQOL were evaluated by Pearson correlation analysis. The serial multiple mediation of anxiety and depression was assessed by SPSS PROCESS macro.

RESULTS

SRH, anxiety, depression and HRQOL were significantly correlated(P < 0.001). In comparison to the fair SRH, the good SRH exhibited a significantly positive direct effect (Effect = 0.2366, Bootstrap 95%CI: 0.0642 ~ 0.4090) and total effect on HRQOL (Effect = 0.4761, Bootstrap 95%CI: 0.2975 ~ 0.6546). Conversely, the poor SRH demonstrated a significantly negative total effect on HRQOL (Effect= -0.4321, Bootstrap 95%CI: -0.7544~ -0.1099). When considering the fair SRH as the reference group, the poor SRH displayed a negative indirect effect on HRQOL through the single mediation of anxiety (Effect= -0.1058, Bootstrap 95%CI: -0.2217~ -0.0107) and the serial mediation of anxiety and depression (Effect= -0.0528, Bootstrap 95%CI: -0.1233~ -0.0035). Conversely, the good SRH had a positive indirect impact on HRQOL through the single mediation of anxiety (Effect = 0.1153, Bootstrap 95%CI: 0.0583 ~ 0.1900) and depression (Effect = 0.0667, Bootstrap 95%CI: 0.0206 ~ 0.1234), as well as the serial mediation of anxiety and depression (Effect = 0.0575, Bootstrap 95%CI: 0.0192 ~ 0.1030).

CONCLUSION

SRH can improve HRQOL through the decrease of anxiety and depression in cancer patients. Focusing on SRH would be beneficial for their mental health and HRQOL in cancer patients.

Health-related quality of life among patients with end-stage renal disease undergoing hemodialysis in Ethiopia: a cross-sectional survey

BACKGROUND

Measurement of health-related quality of life (HRQOL) enables identification of treatment-related side effects of a disease. Such aspects may negatively impact on patients' lives and should be taken into consideration in medical decision-making. In sub-Saharan Africa, research from the perspective of patients with chronic kidney disease is scarce, and it is almost non-existent in patients undergoing hemodialysis. We aimed to determine HRQOL among end-stage renal disease patients undergoing maintenance hemodialysis in Ethiopia and to identify factors associated with HRQOL.

METHODS

A multi-center cross-sectional study was conducted in Addis Ababa, Ethiopia directed to all patients receiving hemodialysis due to kidney failure at 11 randomly-selected government and private hospitals/dialysis centers in the capital of Ethiopia. Data were collected by trained nurses using the KDQOL-36 instrument with five subscales measuring generic and disease-specific HRQOL. Study-specific items were used to collect socio-demographic and clinical data. Factors associated with HRQOL were examined using multivariable linear regression models.

RESULTS

Four hundred eighty-one patients completed the survey through face-to-face interviews (response rate 96%; mean age 45.34 ± 14.67). The mean scores of the subscales ranged from 25.6 to 66.68 (range 0-100), with higher scores reflecting better health. Factors associated with low HRQOL included older age, female sex, no formal education, poor medication adherence, > 2 hemodialysis sessions/week, lower body mass index (< 18.5), longer duration of hemodialysis treatment (≥ 12 months), and poor social support.

CONCLUSION

Patients with kidney failure undergoing hemodialysis in Addis Ababa, Ethiopia, had low HRQOL across all subscales compared to previous studies. Therefore, the implementation of guidelines is crucial to improve patients' adherence to their prescribed medications. Furthermore, establishing patient support groups and encouraging patients to use the available support resources from family members, neighbors, and friends have the potential to improve patients' HRQOL.

A novel nomogram to stratify quality of life among advanced cancer patients with spinal metastatic disease after examining demographics, dietary habits, therapeutic interventions, and mental health status

Background

It would be very helpful to stratify patients and direct patient selection if risk factors for quality of life were identified in a particular population. Nonetheless, it is still challenging to forecast the health-related quality of life among individuals with spinal metastases. The goal of this study was to stratify patient’s populations for whom the assessment of quality of life should be encouraged by developing and validating a nomogram to predict the quality of life among advanced cancer patients with spine metastases.

Methods

This study prospectively analyzed 208 advanced cancer patients with spine metastases, and collected their general characteristics, food preferences, addictions, comorbidities, therapeutic strategies, and mental health status. The functional assessment of cancer therapy-general (FACT-G) and hospital anxiety and depression scale (HADS) were used to assess quality of life and mental health, respectively. The complete cohort of patients was randomly divided into two groups: a training set and a validation set. Patients from the training set were conducted to train and develop a nomogram, while patients in the validation set were performed to internally validate the nomogram. The nomogram contained significant variables discovered using the least absolute shrinkage and selection operator (LASSO) approach in conjunction with 10-fold cross-validation. The nomogram’s predictive ability was assessed utilizing discrimination, calibration, and clinical usefulness. Internal validation was also completed using the bootstrap method after applying 500 iterations of procedures. A web calculator was also developed to promote clinical practice.

Results

Advance cancer patients with spinal metastases had an extremely low quality of life, as indicated by the average FACT-G score of just 60.32 ± 20.41. According to the LASSO and 10-fold cross-validation, Eastern Cooperative Oncology Group (ECOG) score, having an uncompleted life goal, preference for eating vegetables, chemotherapy, anxiety status, and depression status were selected as nomogram predictors. In the training set, the area under the receiver operating characteristic curve (AUROC) was 0.90 (95% CI: 0.84–0.96), while in the validation set, it was 0.85 (95% CI: 0.78–0.93). They were 0.50 (95% CI: 0.41–0.58) and 0.44 (95% CI: 0.33–0.56), respectively, for the discrimination slopes. The nomogram had favorable capacity to calibrate and was clinically useful, according to the calibration curve and decision curve analysis. When compared to patients in the low-risk group, patients in the high-risk group were above four times more likely to experience a poor quality of life (82.18% vs. 21.50%, P < 0.001). In comparison to patients in the low-risk group, patients in the high-risk group also exhibited significant higher levels of anxiety and depression. The webpage for the web calculator was https://starshiny.shinyapps.io/DynNomapp-lys/.

Conclusions

This study suggests a nomogram that can be applied as a practical clinical tool to forecast and categorize the quality of life among patients with spine metastases. Additionally, patients with poor quality of life experience more severe anxiety and depression. Effective interventions should be carried out as soon as possible, especially for patients in the high-risk group, to improve their quality of life and mental health condition.

Factors influencing health-related quality of life in people with chronic kidney disease: A structural equation modelling approach

AIMS AND OBJECTIVES

To test whether the revised Wilson and Cleary model could identify which factors contribute to health-related quality of life in chronic kidney disease.

BACKGROUND

Chronic kidney disease affects a person's health-related quality of life detrimentally although nursing practice informed by theory is only beginning to emerge.

DESIGN

A cross-sectional study reported using the STROBE guidelines.

METHODS

About 886 participants with chronic kidney disease (varying grades) completed validated measures of symptoms (renal version of the Integrated Palliative care Outcome Scale), and general health perceptions and health-related quality of life (European Quality of Life five-dimension three-level). Socio-demographic and renal characteristics were also collected. Data were analysed using descriptive statistics and structural equation modelling.

RESULTS

Biological function (decreased kidney function and haemoglobin and greater number of comorbidities), directly contributed to increased symptom burden. Symptoms demonstrated strong negative relationships with both general health perceptions and health-related quality of life. General health perceptions had a direct positive relationship with health-related quality of life. As age increased, health-related quality of life decreased. The only environmental characteristic of significance was the distance between home and hospital although it was not directly associated with health-related quality of life. Overall, the model explained approximately half of the deterioration in health-related quality of life.

CONCLUSIONS

The model demonstrated how various factors influence alteration of health-related quality of life in people with chronic kidney disease. Early identification of these factors could assist nurses to introduce effective management strategies into patient care plans proactively.

RELEVANCE TO CLINICAL PRACTICE

Comprehensive symptom assessment needs to occur not only in kidney failure but in earlier chronic kidney disease grades to enable timely interventions targeted at improving people's wellbeing.

PATIENT OR PUBLIC CONTRIBUTION

Validated interviewer administered questionnaires were completed by participants with chronic kidney disease in this study.

Application of Ferrans et al.'s conceptual model of health-related quality of life: A systematic review

Ferrans, Zerwic, Wilbur, and Larson proposed the conceptual model of health-related quality of life (HRQOL) in 2005 to explicate the constructs associated with HRQOL and to describe the associations among those constructs. In this systematic review, the authors aimed to describe empirical studies that used Ferrans et al.'s model and to examine the evidence related to the hypothesized model concepts. This review followed Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Relevant articles were identified using Crossref, CINAHL, and PubMed. To be included, studies had to employ the model as a theoretical framework and be published in English between 2005 and 2020. Type of theory use was coded using four designations: informed by theory, applied theory, testing theory, and building theory. Thirty-one studies were included. Most studies involved adult patients with chronic illnesses (n = 20) and were conducted in Western countries (n = 22). The most common type of theory use was testing theory (74.19%). Among the seven concepts in Ferrans et al.'s model, all 20 hypothesized associations were tested and 19 were supported by study results. The three associations most frequently supported were between symptoms and functional status (n = 13), environmental characteristics and quality of life (n = 10), and individual characteristics and functional status (n = 8). No studies found an association between environmental characteristics and biological function. Our review found that Ferrans et al.'s model has been used extensively to guide HRQOL research. An emerging body of research provides preliminary support for the associations hypothesized in the model. Additional research is needed to confirm the hypothesized associations among model concepts.

Alterations in symptoms and health-related quality of life as kidney function deteriorates: A cross-sectional study

AIMS AND OBJECTIVES

To compare symptoms and health-related quality of life and to examine the relationship between these as kidney function deteriorates.

BACKGROUND

Chronic kidney disease is a global health problem, and while knowledge of symptom burden and health-related quality of life is understood in kidney failure (previously end-stage kidney disease), there is limited understanding about symptoms and health-related quality of life across the chronic kidney disease trajectory.

DESIGN

Cross-sectional design reported using the STROBE guidelines.

METHODS

Eight hundred eighty-six adults with varying levels of kidney function (chronic kidney disease grades 3b-5 including those receiving dialysis) completed the renal version of the Integrated Palliative care Outcome Scale and the Quality of Life Short Form-36 version 2. Socio-demographic and renal characteristics were also collected. Data were analysed using descriptive and inferential statistics.

RESULTS

Participants had a mean age of 57 years and were mostly male. Regardless of chronic kidney disease grade, pain, poor mobility, weakness, anxiety and depression were the most prevalent and severe symptoms reported. Health-related quality of life was significantly associated with physical and psychological symptom scores. As kidney function deteriorated, both physical and mental health-related quality of life decreased, and prevalence and severity of symptoms increased.

CONCLUSIONS

There is substantial symptom burden irrespective of chronic kidney disease grade, which overwhelmingly affects health-related quality of life. Early identification by nurses would enable proactive management plans to be implemented.

RELEVANCE TO CLINICAL PRACTICE

Nurses, whether in specialist renal services or in primary healthcare, are ideally placed to regularly assess symptoms and health-related quality of life in those with chronic kidney disease. Timely assessment could assist in the targeting of earlier interventions designed to reduce symptom burden and to increase health-related quality of life.