Health-related quality of life and associated factors among cancer patients in Ethiopia: Systematic review and meta-analysis

Quality of life among people living with mental illness and predictors in Africa: a systematic review and meta-analysis

INTRODUCTION

Quality of life (QoL) of patients with mental illness has been examined internationally but to a lesser extent in developing countries, including countries in Africa. Improving QoL is vital to reducing disability among people with mental illness. Therefore, this systematic review and meta-analysis aimed to assess the prevalence of QoL and associated factors among people living with mental illness in Africa.

METHODS

Using the PICOT approach, Scopus, MEDLINE, PsycINFO, CINAHL, Embase, the Web of Science, and Google Scholar were searched. A structured search was undertaken, comprising terms associated with mental health, mental illness, QoL, and a list of all African countries. The Joanna Briggs Institute Quality Appraisal Checklist is used to evaluate research quality. Subgroup analysis with Country, domains of QoL, and diagnosis was tested using a random-effect model, and bias was assessed using a funnel plot and an inspection of Egger's regression test. A p value, OR, and 95% CI were used to demonstrate an association.

RESULTS

The pooled prevalence of poor QoL was 45.93% (36.04%, 55.83%), I2 = 98.6%, p < 0.001). Subgroup analysis showed that Ethiopia (48.09%; 95% CI = 33.73, 62.44), Egypt (43.51%; 95% CI = 21.84, 65.18), and Nigeria (43.49%; 95% CI = 12.25, 74.74) had the highest mean poor QoL prevalence of the countries. The pooled prevalence of poor QoL by diagnosis was as follows: bipolar disorder (69.63%; 95% CI = 47.48, 91.77), Schizophrenia (48.53%; 95% CI = 29.97, 67.11), group of mental illnesses (40.32%; 95% CI = 23.98, 56.66), and depressive disorders (38.90%; 95% CI = 22.98, 54.81). Being illiterate (3.63; 95% CI = 2.35, 4.91), having a comorbid medical illness (4.7; 95% CI = 2.75, 6.66), having a low monthly income (3.62; 95% CI = 1.96, 5.27), having positive symptoms (0.32; 95% CI = 0.19, 0.55), and having negative symptoms (0.26; 95% CI = 0.16, 0.43) were predictors of QoL. Thus, some factors are significantly associated with pooled effect estimates of QoL.

CONCLUSIONS

The current systematic review and meta-analysis showed that almost half of patients with mental illness had poor QoL. Being illiterate, having a comorbid medical condition, having a low monthly income, having positive symptoms, and having negative symptoms of mental illness were independent predictors of poor QoL. This systematic review and meta-analysis emphasize that poor QoL of people with mental illness in Africa needs attention to reduce its negative consequences.

The EORTC QLU-C10D is a valid cancer-specific preference-based measure for cost-utility and health technology assessment in the Netherlands

BACKGROUND

Cost-utility analysis typically relies on preference-based measures (PBMs). While generic PBMs are widely used, disease-specific PBMs can capture aspects relevant for certain patient populations. Here the EORTC QLU-C10D, a cancer-specific PBM based on the QLQ-C30, is validated using Dutch trial data with the EQ-5D-3L as a generic comparator measure.

METHODS

We retrospectively analysed data from four Dutch randomised controlled trials (RCTs) comprising the EORTC QLQ-C30 and the EQ-5D-3L. Respective Dutch value sets were applied. Correlations between the instruments were calculated for domains and index scores. Bland-Altman plots and intra-class correlations (ICC) displayed agreement between the measures. Independent and paired t-tests, effect sizes and relative validity indices were used to determine the instruments' performance in detecting clinically known-group differences and health changes over time.

RESULTS

We analysed data from 602 cancer patients from four different trials. In overall, the EORTC QLU-C10D showed good relative validity with the EQ-5D-3L as a comparator (correlations of index scores r = 0.53-0.75, ICCs 0.686-0.808, conceptually similar domains showed higher correlations than dissimilar domains). Most importantly, it detected 63% of expected clinical group differences and 50% of changes over time in patients undergoing treatment. Both instruments showed poor performance in survivors. Detection rate and measurement efficiency were clearly higher for the QLU-C10D than for the EQ-5D-3L.

CONCLUSIONS

The Dutch EORTC QLU-C10D showed good comparative validity in patients undergoing treatment. Our results underline the benefit that can be achieved by using a cancer-specific PBM for generating health utilities for cancer patients from a measurement perspective.

Health-related quality of life among patients with esophageal, gastric, and colorectal cancer at Kenyatta National Hospital

BACKGROUND

Despite the advancement of modern treatment approaches, several studies indicated a diminished health-related quality of life (HRQoL) in patients with gastrointestinal cancer. However, there is insufficient data about the HRQoL of gastrointestinal cancer patients in Kenya.

AIMS

The study aimed to investigate HRQoL and its determinants in gastrointestinal cancer patients at Kenyatta National Hospital.

METHODS

A cross-sectional study was employed among 160 esophageal, 103 gastric, and 96 colorectal cancer patients. The patient list, identified by unique hospital identification numbers, was obtained from records. Eligibility was assessed based on predetermined criteria, and the hospital identification numbers were reshuffled. Study participants were then randomly selected daily during the data collection period. Data were collected using a researcher-administered European Organization for Research and Treatment of Cancer quality of life questionnaire. The data entry and analysis were carried out using Statistical Package for the Social Sciences 26.0 statistical software. A bivariate and multivariate binary logistic regression analysis was employed to investigate determinants of HRQoL at a 0.05 level of significance.

RESULTS

Most esophageal (N = 118, 73.7%), gastric (N = 75, 72.8%), and colorectal (N = 72, 75%) cancer patients had poor overall HRQoL. In the social (p = .04) and cognitive (p = .02) domain of HRQoL, esophageal cancer patients had a significantly lower mean score as compared to gastric cancer patients. Colorectal cancer patients had the highest mean score in physical functioning (p = .01) as compared with gastric cancer patients. Nonetheless, gastric cancer patients had the highest mean score in emotional functioning domains of quality of life as compared to esophageal (p = .04) and colorectal (p < .001) cancer patients The study revealed a low mean HRQoL score in the majority of the symptom domains of quality of life. A statistically significant difference in all domains of HRQoL was not observed in various treatment modalities of gastrointestinal cancer. Advanced-stage (stages III and IV) and co-morbidities were significant determinants of poor HRQoL.

CONCLUSIONS

The overall HRQoL of gastrointestinal cancer patients was poor. Advanced-stage cancer and co-morbidities were significant determinants of poor HRQoL. Therefore, intensification of routine monitoring of the disease and the treatments should be actively implemented to improve the HRQoL.

Quality of life and associated factors among patients with cancer receiving chemotherapy at Dessie Comprehensive Specialized Hospital, North-East Ethiopia: a cross-sectional study

Background

Cancer is a major public health problem around the world. Cancer by itself and its treatment modalities affect the quality of life (QoL) of patients with it. However, there were a paucity of studies about the QoL of patients receiving chemotherapeutic treatment in Ethiopia. This study was aimed at addressing such a gap. Accordingly, we investigated QoL and associated factors among cancer patients receiving chemotherapy at Dessie Comprehensive Specialized Hospital (DCSH), North East Ethiopia, in 2023.

Methods

We employed a cross-sectional study from April 1 to May 30, 2023. The data was collected using the European Organization for Research and Treatment of Cancer Core QoL Questionnaire, version 3.0 (EORTC QLQ-C30). The data was entered and cleaned using EpiData version 4.6 and exported to Statistical Package for Social Sciences (SPSS) version 27 for analysis. The association between the dependent and independent variables was determined using Odds Ratios (ORs) at a p value < 0.05 with a 95% CI.

Results

Data was collected from 394 patients. Their mean summary QoL score was 36.3 ± 9.0. About 39.3% demonstrated a good QoL summary score, whereas 60.7% were impacted by symptoms. A good functional QoL score was observed in 42.6% of the participants. About 54.8% and 31.7% reported good overall health status and good overall QoL, respectively. The most impacted functional domain was social functioning, affecting 64.5% of participants. The most common symptom was diarrhea, affecting 65.5% of the participants. Secondary school education level (Adjusted Odds Ratio-AOR = 3.16, 95% CI: 1.14-8.81), diploma and above education level (AOR = 4.90, 95% CI: 1.29-18.62), and urban residency (AOR = 1.74, 95% CI: 1.07-2.82) had a significant positive association with QoL, while being a civil servant (AOR = 0.13, 95% CI: 0.04-0.49), having stage III cancer (AOR = 0.14, 95% CI: 0.05-0.39), and stage IV cancer (AOR = 0.16, 95% 0.06-0.44) had a significant negative association with it.

Conclusion

The QoL for cancer patients undergoing chemotherapy was significantly low and associated with their level of education, occupational status, area of residence, and stage of cancer. Incorporating psychosocial support is thus crucial in their treatment plans.

Assessing health-related quality of life among cancer survivors during systemic and radiation therapy in Bangladesh: a cancer-specific exploration

BACKGROUND

Evaluating the effects of cancer diagnosis and treatment on a patient's overall well-being is crucial and health-related quality of life (HRQoL) is a reliable metric for assessing this impact. Little is known about HRQoL among cancer survivors across various stages and treatments. The study examined individual and clinical factors influencing HRQoL among cancer survivors.

METHODS

A cross-sectional study was conducted in two specialised cancer care hospitals in Dhaka, Bangladesh. Cancer-diagnosed adults receiving treatment at selected hospitals from January to May 2022 were enrolled. The 5-level EuroQol-5 Dimensions version (EQ-5D-5L) instrument was used to collect HRQoL data. HRQoL scores were derived using UK value sets. The investigation used a multivariable Tobit regression model to determine the association between independent variables and HRQoL scores.

RESULTS

A total of 607 adult patients were enrolled, with 55% being females and 66% aged 36 to 64 years. Reported health problems in five EQ-5D domains include mobility (11%), self-care (11%), usual daily activities (19%), pain/discomfort (21%), and anxiety/depression (46%). Patients with throat, brain, lung, blood, and liver cancer had lower utility scores. Advanced-stage cancer survivors had lower utility scores (β = -49 units, 95% codfidence interval [CI]: -0.75 to -0.22) compared to early-stage survivors. Physically inactive survivors had lower utility scores by 0.41 units (95% CI: -0.51 to -0.30) compared to their counterparts. Private hospital patients had higher utility scores, whereas patients belonged to poor socioeconomic groups scored worse than wealthier ones.

CONCLUSIONS

This study highlights the impact of clinical and individual characteristics on HRQoL among cancer survivors. These findings advocate for an enhanced Bangladeshi cancer patient care model through timely interventions or programs, early detection or diagnosis, tailored treatments, and the promotion of physical activity to bolster HRQoL outcomes.

Factors Associated With Quality of Life Among Posttreatment Cancer Survivors in Korea: A Meta-analysis

BACKGROUND

Identification of factors associated with quality of life (QOL) among cancer survivors is crucial for identifying potential targets for intervention.

OBJECTIVES

We aimed to provide evidence of factors associated with the QOL among posttreatment cancer survivors in Korea.

METHODS

We performed a systematic literature search from January 2000 to September 2022 using PubMed, EMBASE, CINAHL, PsycINFO, and Korean databases (RISS, SCIENCEON). We evaluated study quality using the Joanna Briggs Institute Quality Appraisal Checklists for Analytical Cross-sectional Studies and performed statistical analysis using the R 3.0 software (R Foundation for Statistical Computing, Vienna, Austria) package. We analyzed the pooled effect sizes of potential QOL correlates by the random-effects model.

RESULTS

This meta-analysis included 31 studies with 8934 participants. The pooled estimates were significantly large for economic status (r = -0.53); significantly medium for fatigue (r = -0.39), anxiety (r = -0.29), depression (r = -0.42), self-efficacy (r = 0.37), and social support (r = 0.30); and significantly small for education level (r = -0.18), job status (r = -0.09), cancer stage (r = -0.20), and time since diagnosis (r = -0.26).

CONCLUSIONS

Low education level, having no job, low economic status, advanced cancer stage, short disease period, fatigue, anxiety, and depression were significantly associated with worse QOL, whereas self-efficacy and social support were significantly associated with better QOL.

IMPLICATIONS FOR PRACTICE

The findings have potential implications for identifying "at-risk survivors" of deteriorated QOL and for suggesting powerful strategies (eg, enhancing self-efficacy or social support) for improving QOL.