ObjectiveThe study was aimed to assess the prevalence of depression and anxiety symptoms and their determinant factors among patients with cancer attending follow-up at Hawassa University Comprehensive Specialized Hospital cancer treatment centre, Ethiopia.DesignInstitution-based cross-sectional study design was implemented.SettingPatients with cancer at Hawassa University Comprehensive Specialized Hospital cancer treatment centre from October 2019 to December 2019.ParticipantsRandomly selected 415 patients with cancer who had follow-up at cancer treatment centre.Main outcome measuresAnxiety and depression symptoms were assessed using Hospital Anxiety and Depression Scale.ResultThe prevalence rates of depression and anxiety symptoms were found to be 244 (58.8%) and 249 (60.0%), respectively. Older age (>50 years) (AOR (adjusted OR)=2.24, 95% CI=1.14 to 4.40), being unemployed (AOR=1.96, 95% CI=1.08 to 3.56), advanced stage of cancer such as stage III (AOR=5.37, 95% CI=1.34 to 21.45) and stage IV (AOR=4.55, 95% CI=1.12 to 18.44), comorbid psychotic symptoms (AOR=1.67, 95% CI=1.07 to 2.61) and eating problem in the past 2 weeks (AOR=6.16, 95% CI=1.98 to 19.11) were independent factors significantly associated with depressive symptoms. In addition, cancer stage such as stage II (AOR=3.92, 95% CI=1.07 to 14.36) and stage IV (AOR=5.04, 95% CI=1.44 to 17.59) and comorbid psychotic symptoms (AOR=1.73, 95% CI=1.12 to 2.66) were significantly associated with anxiety symptoms.ConclusionDepression and anxiety symptoms among patients with cancer were considerably high. Age, occupation, cancer stage, comorbid psychotic symptoms and eating problem were determinant factors of depressive symptoms among patients with cancer. Moreover, cancer stage and comorbid psychosis were determinants of anxiety symptoms. Healthcare professionals working in the oncology unity need to conduct routine screening and treatment of depression and anxiety symptoms for patients with cancer.

No abstract

Introduction African women are affected by cancer at an early age of their productivity. However, the exact prevalence and incidence of cancer, including breast cancer is not known in most sub-Saharan African countries, including Ethiopia because of lack of well-established cancer registry. This study aims to assess the epidemiology of breast cancer at Hawassa University Comprehensive Specialized Hospital (HUCSH), the biggest referral hospital with cancer treatment center serving the southern part of the country. Methods Retrospective review of charts of all patients with a diagnosis of breast cancer between 2013 and 2019 at HUCSH was conducted. A standardized questionnaire was used to collect relevant data that include sociodemographic, symptoms, type of diagnosis, treatment, and outcomes. Data were entered using epidata version 3.1 and analyzed using MS Excel and SPSS version 20. Results Five hundred fifty-nine (18.6%) breast cancer cases were retrieved in 7 years between 2013 and 2019. Of this, 548 (98%) were women. The median ages of the patents were 38 years. Invasive ductal carcinoma was the leading 309 (55.3%) histologic type followed by 185 (33.1%) lobular carcinoma. One hundred seventy-seven (31.7%) were moderately differentiated and 155 (27.7%) were poorly differentiated. Three hundred seventy-two (66.5%) were advanced breast cancer (Stages III and IV). Trends of breast cancer showed the case load is continuously increasing except with a slight reduction of cases in between 2015 and 2016. The majority were advanced breast cancer occurring at an early age by the time diagnosis made. Invasive ductal carcinomas were the predominant one. The trend also showed a continuous increment of cancer case load. Therefore, cancer registration center establishment, community awareness creation, and intensive early detection strategy are mandatory.

Background: Breast cancer affects the overall quality of life (QOL) among its survivors. Limited evidence is available about the QOL among cases. Therefore, this study was intended to assess the quality of life of breast cancer patients attending the cancer treatment center at

Cancer causes the highest economic loss of all of the leading 15 causes of death worldwide. The economic loss includes the loss of income and the expenses associated with health care costs. The Low awareness of the community toward cancer, the inadequacy of professionals and service providers, and the high budget consuming nature of the treatments are creating a great burden on the cancer patients. The objective of this study was to calculate patient side cancer treatment cost and to assess the contributing factors, among the cancer patients who were treated at Hawassa University Comprehensive Specialized Hospital. The health facility based cross-sectional study design was employed using a consecutive sampling technique. Questionnaires was used to collect primary data; while chart was used to collect the secondary data. Indirect costs incurred on these patients due to off job days were checked. Descriptive and inferential statistics were applied to illustrate the data. On average, $209.99 was spent on treatment by each cancer patients. Of these, medication cost is the highest ($20.77, IQR = 0.53-112.56) from the direct medical costs, and transportation cost is the highest ($58.33, IQR = 22.0-131.67) from the indirect medical costs. Inpatients paid $245.16 (IQR = 147.64-439.20); while outpatients paid $147.37 (IQR = 81.42-240.50). The patients lose about 55.99% of their average annual income. Outpatients pay $0, 92 less than in patients ( P = 0.00, CI -0.72-0.34), and the cost increases by $0.2 for the patients who came from Oromia. The cost of transportation and medication were the one which were significantly affecting the burden; but the total cost of treatment was lesser when compared to similar studies done in different areas. The cost balances toward the patients who came from the Oromiya region. Treatment service has to be extended to West Arsi Zone to minimize the cost of transportation and awareness about cancer is needed in the first place and due attention has to be given to thyroid cancer. Furthermore, facility side study should be done to see the complete picture of the burden.

Background: Cancer has become one of the most common and the second leading cause of death. According to grounded theory, quality care is meeting all the needs of the patients. Lowquality nursing care relates omission of nursing care required to meet patients' need. Quality of nursing care in oncologic setting was nursing practice area where studies are limited. Objective: The aim of the study was to assess the perceived quality of nursing care among patients with cancer attending Hawassa University comprehensive specialized Hospital. Methods: A quantitative Cross-sectional study was conducted. Among the proposed 422 patients with cancer, using a simple random sampling technique 415 patients were included in this study. Seven data were discarded due to incompleteness and inconsistency between collected data and patient medical record. Data were collected using structured questionnaires and Quality of Oncology Nursing Care Scale. We carried out statistical analysis using SPSS V-20. We used descriptive analysis to examine the quality of oncology nursing care. Results: The mean age of patients was 42.51 (±14.24) years, among patients diagnosed with cancer more than one-third 148 (35.70%) had breast cancer. The majority of patients with cancer 173 (41.70%) were in stage-III. Nearly two-third 266 (64.10%) of patients were on chemotherapy. Among study participants on treatment, 249 (60.00%) perceived they received good quality of nursing care. The mean score related to the domain of support and confirmation is 62.73 ± 7.26. In terms of spiritual care, the mean score is 21.03 ± 5.37. Conclusion: The perceived quality of nursing care was high however not all domains of oncology care were achieved. We recommend Detail and focused study to explore important predictors' quality nursing care.

No abstract

Background Studies addressing frailty are limited in the global south, including Ethiopia. We estimated the prevalence of frailty and associated factors among older people living with HIV (PLHIV) attending a large Comprehensive Specialized Hospital in southern Ethiopia. Methods A systematic sample of 187 PLHIV and 187 HIV-negative controls > 50 years old were recruited between October 1 and November 30, 2021. Data on socio-demographic, behavioural and clinical characteristics were collected using a structured questionnaire. Frailty assessments were completed using the brief frailty instrument (B-FIT-2), which consists of 6 components. Scoring 5–6 points was frail, 2–4 points were pre-frail and below 2 was considered as non-frail. Logistic regression model was used to measure association between variables. Results Median (IQR) age was 53 (50, 80) for PLWH and 59 (55–66) for controls. Prevalence of frailty was 9.1% for PLHIV Versus 5.9% for controls. A significant proportion of PLHIV was pre-frail; 141 (75.4%) compared to controls 110 (58.8%). Pre-frailty status was associated with HIV diagnosis (adjusted odds ratio (aOR) 4.2; 95% CI 1.8–9.9), low age (aOR 0.3; 95% CI 0.1–0.6), lower educational attainment (aOR 2.2; 95% CI 1.0–4.9), being farmer (aOR 3.2; 95% CI 1.0–10.2) and having high or low body mass index (BMI) (aOR 11.3; 95% CI 4.0–25.8). HIV diagnosis (aOR 9.7; 95% CI 1.6–56.8), age (aOR 0.2; 95% CI 0.1–0.7), lower educational attainment (aOR 5.2; 95% CI 1.5–18.2), single status (aOR 4.2; 95% CI 1.3–13.6), farmer (aOR 19.5; 95% CI 3.5–109.1) and high or low BMI (aOR 47.3; 95% CI 13.8–161.9) predicted frailty. Conclusion A high proportion of frailty and pre-frailty was observed in a cohort of older PLHIV attending care in Southern Ethiopia. Future research should focus on interventions targeting factors associated with frailty.