Cancer, the most stressful event a person may experience often triggers depression. Depression among these groups of people, in turn, affects chemotherapy adherence, length of hospitalization, ...quality of life and cancer treatment outcome. Even though the problem is enormous studies that address it are limited. Therefore this study was conducted to determine the prevalence of depression and associated factors among cancer patients on chemotherapy in Felege-Hiwot referral hospital and University of Gondar referral hospital, Northwest Ethiopia. An institution-based cross-sectional study was conducted from April to May 2019. A total of 302 cancer patients on chemotherapy were included. Depression was assessed using the patient health questionnaire (PHQ-9). Binary logistic regression was used to select variables and determine Crude Odds Ratio (COR). Variables with P value < 0.2 were entered into multivariable logistic regression. Adjusted Odds Ratio (AOR) with 95% confidence intervals for variables with P-value < 0.05 was estimated to show factors affecting depression among cancer patients. The fitness of the model was checked by using the Hosmer-Lemeshow goodness-of-fit test. The prevalence of depression among cancer patients on chemotherapy was 70.86% (95% CI: 65.38, 75.92). Educational status of college and above (AOR = 0.1, 95% CI: 0.02, 0.43), Jobless (AOR = 0.15, 95% CI: 0.04, 0.58), Underweight(AOR = 2.39, 95% CI: 1.10, 5.19)chemotherapy duration greater than or equal to 6 months or more (AOR = 2.36, 95% CI: 1.16, 4.79) were notably associated with depression. The burden of depression among cancer patients in this study was high. We recommend concerned bodies working to curve the problem to intervene based on the identified risk factors. Improving educational status, reducing work stress and maintaining normal weight would reduce depression.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Nosocomial infections are major public health problem which affects more than 100 million patients each year globally. This leads to prolonged hospital stays, a high mortality rate, and a vast ...financial burden to the healthcare system as well as the patients. This study aimed to find out the incidence of nosocomial infections and determinant factors among admitted adult chronic illness patients at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia.
An institutional-based retrospective follow-up study design was employed among 597 respondents. The secondary data was collected from April 15 to May 15, 2021. A computer-generated random sampling technique was used to select a total of 599 patients using Open-epi software. Structured checklists were used to collect data. For data entry and analysis Epi-Data version 4.6 and STATA 16 were used respectively. To identify statistically significant variables Cox-regressions (univariable and multivariable) were performed. To declare statistically significant variables based on
< 0.05 in the multivariable Cox-regression model, adjusted hazard ratio with 95% CI was used.
A total of 597(99.6%) adult chronic illness patients were included in the study. Of these, 53 (8.88%) participants developed nosocomial infections and the incidence rate of nosocomial infection was 6.6 per 1,000 person-days observation. In this study, not taking antibiotics (AHR = 2.74, 95% CI: 1.49, 5.04), using mechanical ventilation (AHR = 2.67, 95% CI: 1.36, 5.26), being on urinary catheter (AHR = 4.62, 95% CI: 2.22, 9.65), being on intravenous catheter (AHR = 3.42, 95% CI: 1.22, 9.61) and length of hospital stay >20 days (AHR = 2.66, 95% CI: 1.43, 4.94) were significantly associated with nosocomial infections.
The findings have indicated that the incidence of nosocomial infection was low. No taking antibiotics, intravenous insertion, mechanical ventilation, length of hospital stay, and urinary catheterization were the predictors for the development of nosocomial infection. Therefore, we recommend that the healthcare providers need to give emphasis on infection prevention and control in the institution on these factors that have a significant effect on nosocomial infection.
Severe community-acquired pneumonia is a common life-threatening infection with a high rate of unfavorable outcome. This study aimed to assess the outcomes and predictors of hospitalized severe ...community-acquired pneumonia patients at University of Gondar comprehensive specialized hospital.
A prospective follow-up study was conducted at University of Gondar comprehensive specialized hospital from May 1 to September 31, 2021. The data was collected by reviewing patients' charts and interviewing the patients themselves. Descriptive statistics, binary and multivariable logistic regression analysis were performed accordingly. Variables with
-value <0.2 on binary logistic regression were analyzed using multivariable logistic regression and variables with
<0.05 were considered to have significant association.
A total of 239 admitted patients with severe community-acquired pneumonia were enrolled in the study. An unfavorable outcome was observed in 105 (44%) patients; 24.27% was in-hospital all-cause mortality, 12.5% was nonresolution, 5.8% was complicated cases, and 1.26% were gone against medical care for poor prognosis. After analyzing multivariable logistic regression, confusion (OR= 4.84; 95%CI: 1.47-15.88), anemia (OR= 2.36; 95%CI: 1.01-5.52), leukopenia (OR=4.38; 95%CI: 1.26-15.25), leukocytosis (OR=3.15; 95%CI: 1.23-7.96), elevated creatinine (OR=5.67; 95%CI: 1.72-18.65), intubation (OR=7.27; 95%CI: 1.58-33.37) and antibiotic revision during treatment for a different reason (OR=0.02; 95%CI: 0.01-0.07) were variables significantly associated with unfavorable outcome.
Unfavorable outcome was high among hospitalized severe community acquired pneumonia patients, and confusion, elevated creatinine, anemia, leukopenia, leukocytosis, intubation during admission, and antibiotic revision during the course were independent predictors associated significantly with the unfavorable outcome. It is important to consider the development of a treatment protocol for the hospital and to further research incorporating the microbiologic profile of the patients.
Data on age, sex, occupation, HIV serostatus and year of donation were collected from the blood donors log book of Gondar College of Medical Sciences Hospital, Northwest Ethiopia, for the period ...between January 1995 and December 2002 and analysed. The crude HIV seroprevalence was 9.9% (1109/11,204). A declining trend in the prevalence was observed from as high as 15.7% (207/1321) in 1995 to 9.3% (123/1327) in 1999 and down to 4.3% (68/1576) in 2002. The declining trend observed in recent years is encouraging and should further be strengthened by making use of the blood bank as an entry point for HIV testing and counselling services.
Objective
This analysis is to present the burden and trends of morbidity and mortality due to lower respiratory infections (LRIs), their contributing risk factors, and the disparity across ...administrative regions and cities from 1990 to 2019.
Design
This analysis used Global Burden of Disease 2019 framework to estimate morbidity and mortality outcomes of LRI and its contributing risk factors. The Global Burden of Disease study uses all available data sources and Cause of Death Ensemble model to estimate deaths from LRI and a meta-regression disease modelling technique to estimate LRI non-fatal outcomes with 95% uncertainty intervals (UI).
Study setting
The study includes nine region states and two chartered cities of Ethiopia.
Outcome measures
We calculated incidence, death and years of life lost (YLLs) due to LRIs and contributing risk factors using all accessible data sources. We calculated 95% UIs for the point estimates.
Results
In 2019, LRIs incidence, death and YLLs among all age groups were 8313.7 (95% UI 7757.6–8918), 59.4 (95% UI 49.8–71.4) and 2404.5 (95% UI 2059.4–2833.3) per 100 000 people, respectively. From 1990, the corresponding decline rates were 39%, 61% and 76%, respectively. Children under the age of 5 years account for 20% of episodes, 42% of mortalities and 70% of the YLL of the total burden of LRIs in 2019. The mortality rate was significantly higher in predominantly pastoralist regions—Benishangul-Gumuz 101.8 (95% UI 84.0–121.7) and Afar 103.7 (95% UI 86.6–122.6). The Somali region showed the least decline in mortality rates. More than three-fourths of under-5 child deaths due to LRIs were attributed to malnutrition. Household air pollution from solid fuel attributed to nearly half of the risk factors for all age mortalities due to LRIs in the country.
Conclusion
In Ethiopia, LRIs have reduced significantly across the regions over the years (except in elders), however, are still the third-leading cause of mortality, disproportionately affecting children younger than 5 years old and predominantly pastoralist regions. Interventions need to consider leading risk factors, targeted age groups and pastoralist and cross-border communities.
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