83 research outputs found

    Nondestructive allometric model to estimate aboveground biomass: an alternative approach to generic pan-tropical models

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    Nondestructive allometric model to estimate aboveground biomass: an alternative approach to generic pan-tropical modelsNondestructive allometric model to estimate aboveground biomass: an alternative approach to generic pan-tropical models-Manuscript Draft-Manuscript Number: Full Title: Nondestructive allometric model to estimate aboveground biomass: an alternative approach to generic pan-tropical modelsNondestructive allometric model to estimate aboveground biomass: an alternative approach to generic pan-tropical models Article Type: Original Article Abstract: Biomass and carbon stock analysis and estimations are performed with the use of mathematical allometric models. Developing countries in Sub-Sharan Africa such as Ethiopia lack the expensive resources to develop such costly models destructively. As a result, they are left with the only option to adopt models formulated from unrelated geographic areas which usually bears error in estimation. This study estimates the biomass of indigenous trees and develop allometric model for the Egdu Forest located Oromia region, Ethiopia. Nondestructive sampling is used to collect samples where diameter at breast height (DBH), local wood density (ρ), and tree height (H) are the estimator variable for total dry aboveground biomass (TAGB). Trees are selected based on DBH variability on the study site and located in a delineated area of quadrat plot. A set of species-specific models to relate AGB to estimator variables are fitted to the data. The allometric equation that fit the linear models has a significant p-value (P<0.000). Model comparison and selection are based on the Akaike information criterion (AIC), adjusted coefficient of determination (R2) and residual standard error (RSE) of the regression. Comparison of our results with those obtained using generalized pan-tropical model revealed differences in biomass estimations. The developed equations can be used for greater accuracy by researchers, forest managers and/or organization like REDD+ to calculate aboveground biomass and carbon stock of the studied species in Ethiopia. Abstract: Biomass and carbon stock analysis and estimations are performed with the use of mathematica

    Suicidal behavior and associated factors among holy water users at Northwest, Ethiopia, 2023: an institution based cross-sectional study

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    BackgroundSuicide is a serious cause of mortality that affects families, communities, and the entire country. Because of a lack of national systematic reporting for cause-specific mortality, a high level of stigma, and religious non-acceptance, suicidal behavior is an under-reported and concealed cause of death in the majority of low- and middle-income countries.ObjectiveThe aim of this study was to assess the prevalence of suicidal behavior and associated factors among holy water users at the Andassa Saint George Monastery, 2023.MethodsAn institution-based cross-sectional study was conducted at the Andassa Saint George Monastery from 5 April to 5 May 2023. A systematic random sampling method was utilized to select 423 study participants and the Suicidal Behaviors Questionnaire—Revised was used to assess suicidal behavior. The data were gathered using the epicollect5 software with a face-to-face interview method then exported to SPSS-25 for analysis. A binary logistic regression model was used and all variables in a bivariate analysis with a p-value of less than 0.25 were entered into a multivariable logistic regression model, and statistical significance was declared at a p-value of less than 0.05.ResultsThe prevalence of suicidal behavior among holy water users was 9.7% (95% CI: 7.1–12.4). Being female [2.632 (1.206–5.748)], living alone [2.52 (1.06–5.97)], and having depression [3.03 (1.32–6.99)], epilepsy [3.82 (1.28–11.40)], and diabetes mellitus [3.37 (1.229–9.25)] were significantly associated with suicidal behavior.ConclusionIn this study, almost 1 in 10 had engaged in suicidal behavior in their lifetime. Several risk factors for suicidal behavior were identified, including being female, living alone, and having diabetes mellitus, epilepsy, and depression

    Time, cause of early neonatal death, and its predictors among neonates admitted to neonatal intensive care units at Bahir Dar City public hospitals, northwest Ethiopia: a prospective follow-up study

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    BackgroundGlobally, 75% of neonatal deaths occur during the first weeks of life and more than 43% of deaths are covered by sub-Saharan Africa. Health-related policymakers and decision-makers need to use evidence-based treatments to reduce the time to early neonatal death and associated predictors. However, there are limited studies on median survival time, cause, incidence, and predictors in the study area as well as the country. Therefore, the aim of the present study was to assess time, the cause of early neonatal death, and its predictors among neonates admitted to neonatal intensive care units at Bahir Dar City public hospitals in northwest Ethiopia.MethodsAn institution-based prospective follow-up study design was conducted among 387 early neonates selected by systematic sampling between 22 February and 22 April 2023. Statistical software, Epi Data version 4.6 and Stata version 14, was used for entry and analysis, respectively. Proportional hazard assumption and model fitness were checked by the Schoenfeld residual test and the Cox-Snell residual test, respectively. Descriptive statistics, the Kaplan–Meier curve, and the life table were used to describe variables. The Cox regression analysis model was fitted to identify the predictors of early neonatal death.ResultDuring the follow-up time, 59 (15.25%) early neonates died, with an incidence of 31.79 per 1,000 early neonate days [95% confidence interval (CI): 0.024–0.041]. The leading causes of early neonatal death were prematurity complications, asphyxia, sepsis, meconium aspiration syndrome, and necrotizing enterocolitis. The mean survival time was 2.72 days. Being born from a multigravida mother [adjusted hazard ratio (AHR) 4.34; 95% CI: 1.63–11.55], a grand multigravida mother (AHR 3.50; 95% CI: 1.12–10.95), respiratory distress syndrome (AHR 2.60; 95% CI: 1.03–6.58), birth asphyxia (AHR 7.51; 95% CI: 2.30–24.51), a small gestational age (AHR 2.05; 95% CI: 1.08–4.92), and being unable to exclusively breastfeed (AHR 3.46; 95% CI: 1.52–7.88) were significantly associated predictors for time to early neonatal death.Conclusion and recommendationsThe incidence of early neonatal death was high, and the mean survival time was 2.72 days. Gravidity, respiratory distress syndrome, birth asphyxia, and being unable to exclusively breastfeed were identified as predictors of early neonatal death. Therefore, future research will consist of long-term prospective follow-up studies at a multicenter, nationwide level

    Adverse childhood experiences among people with schizophrenia at comprehensive specialized hospitals in Bahir Dar, Ethiopia: a comparative study

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    BackgroundPeople who have encountered adverse childhood experiences (ACEs) are predisposed to developing schizophrenia, experiencing exacerbated symptoms, and facing an elevated risk of disease relapse. It is imperative to evaluate the prevalence of ACEs to comprehend the specific attributes of this condition and enable the implementation of suitable interventions.AimsThe aim of this study was to assess the prevalence of ACEs and its determinants among people with schizophrenia and the patient attendants in Bahir Dar, Ethiopia.MethodA comparative cross-sectional study was carried out at the Comprehensive Specialized Hospitals in Bahir Dar, Ethiopia, from April 26 to June 10, 2023. A total of 291 individuals with schizophrenia and 293 individuals from the patient attendants were selected using a systematic random sampling method. A proportional odds model ordinal logistic regression analysis was used to identify the factors associated with ACEs.ResultsThe occurrence of at least one ACE among individuals diagnosed with schizophrenia was 69.4%, while patient attendants had a 46.8%, as indicated by the Chi-square test, which showed a significant difference at p &lt;0.05. The study findings indicated that individuals with schizophrenia who have encountered four or more ACEs are more inclined to have lower educational attainment (AOR: 4.69 [1.94 - 11.61]), low resilient coping mechanisms (AOR: 2.07 [1.11 - 3.90]), and poor social support (AOR: 3.93 [2.13 - 7.32]). Conversely, factors such as rural residency, illiteracy, and heightened attachment-related anxiety were found to be notably associated with the patient attendants.ConclusionIn this study, the substantial prevalence of ACEs emphasized the necessity for ACE screening and the implementation of evidence-based interventions to address and alleviate the overall burden of ACEs

    FACTORS AFFECTING PHYSICIAN’S ADHERENCE TO GENERIC DRUG PRESCRIBING PRACTICE IN PRIVATE HEALTH FACILITIES, MEKELLE CITY, NORTHEASTERN ETHIOPIA

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    Introduction: Generic medicines are produced by multiple manufacturers hence, are usually cheaper than innovator brands and therefore save costs on medicines. Many physicians oppose brand substitution, believing generic medicines to be inferior to their originator counterparts. Physicians’ belief about generic medicines and factors affecting generic prescribing in Ethiopia are poorly investigated. Objective: To assess the physicians’ belief about generic medicines and to identify factors affecting generic medicines prescribing in private health facilities, Mekelle, Northern Ethiopia. Materials and Methods: An institution based cross-sectional study was conducted enrolling all physicians working in private health facilities. The data were collected from January 2016 to March 2016. Data were collected using self-administered structured questionnaires measuring generic medicines belief of physicians using a Likert scale of 1–5. Data were then entered into SPSS version 20 for analysis. Results: Of the fifty-six physicians approached in this study, 50 (89.2% response rate) questionnaires were included in the analysis. Nearly three-fourth (72%) of the physicians claimed that they always prescribe generic medicines. More than half (55.3) of the respondents beliefs generic medicines have different active ingredients than a brand innovator. Almost equal percentage (52% and 54%) of the Physicians disagreed with brand medicines were safer than generic medicines and prescribing generic due to the complicated health problem of the patient respectively. Around two third (67.5%) of physicians reported that quality profile of medicine was a major reason for prescribing generic medicines. Moreover, availability of medicines in pharmacies and low cost of medicines were the main reasons for prescribing generic medicines with 58.1% and 52.4% respectively. Conclusion: The majority of physicians do not have a positive perception of generic medicines and a significant portion of the physician’s belief brand medicines safer and effective than generic counterparts. The availability of medicines in pharmacies, low cost of medicines and purchasing power of the patients are major factors affecting generic medicines prescribing. Keywords: Generic medicines, belief, private health facilities, physiciansÂ

    Time to death and its predictors among neonates admitted with sepsis in neonatal intensive care unit at comprehensive specialized hospitals in Northeast Ethiopia

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    BackgroundIn impoverished nations like Ethiopia, neonatal sepsis contributes significantly to neonatal mortality. Despite variations in the specific timing of death and predictors of neonatal mortality associated with sepsis across different settings, there's limited documented information in the Neonatal Intensive Care Units of northeastern Ethiopia. Consequently, the aim of this study was to determine time to death and its predictors among neonates with sepsis admitted to Neonatal Intensive Care Units in comprehensive specialized hospitals in northeastern EthiopiaMethodsA prospective cohort study conducted at the institution level involved 306 neonates diagnosed with sepsis. Data collection utilized face-to-face interviews and chart reviews. Subsequently, the data were inputted into Epi-data version 4.6 and later analyzed using STATA version 17. The median time to death was determined, and both the Kaplan-Meier curve and log-rank test were applied. Furthermore, a Cox proportional hazard regression model was utilized to identify predictors of neonatal mortality associated with sepsis.ResultThe cumulative incidence of mortality among neonates admitted with sepsis was 34% (95% CI: 28.9%–39.5%). The neonatal mortality rate stood at 51 (95% CI: 42.1, 62) per 1,000 neonates admitted to the intensive care units with sepsis over a total of 1,854 person-days of observation. Additionally, the median time to death was 13 days (IQR = 5–23 days). Tachypnea [AHR 6.2 (95% CI: 1.5–9.7)], respiratory distress syndrome [AHR 2.1 (95% CI: 1.3–3.5)], lethargy [AHR 1.8 (95% CI: 1.2–2.6)], preterm birth [AHR 1.8 (95% CI: 1.2–2.7)], continuous positive airway pressure use [AHR 2.1 (95% CI: 1.3–3.4)], home delivery [AHR 2.63 (95% CI: 1.1–6.4)], Subgalea hemorrhage [AHR 1.8 (95% CI: 1.1–3.9)], and low platelet count [AHR 5.9 (95% CI: 2.3–8.6)] were found to be predictors of time to death in neonates with sepsis.ConclusionThe study revealed an alarmingly high neonatal mortality rate among septic neonates, underscoring the urgency for intervention. Enhancing the quality of care in neonatal intensive care units, bolstering infection prevention during procedures such as continuous positive airway pressure, exercising caution with locally made accessories, and reinforcing a culture of institutional delivery are critical in curbing neonatal sepsis-related mortalities

    Patterns of help-seeking behavior among people with mental illness in Ethiopia: a systematic review and meta-analysis

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    BackgroundDespite the availability of evidence-based and effective treatments, significant numbers of people living with mental illness do not receive treatment or do not seek help from providers of formal modern treatment. Although numerous primary studies have been conducted on patterns of help-seeking behavior among individuals with mental illness with respect to modern therapy, the evidence has not been aggregated nationwide. Therefore, the aim of this review was to investigate pooled data on patterns of help-seeking behavior among individuals with mental illness in Ethiopia.MethodsAll available primary studies were searched via the Google Scholar, HINARI, and PubMed databases from June 22 to December 20, 2023; 912 articles were identified. Sixteen articles were included in the final review; data from them were extracted to an Excel spreadsheet and exported to Stata version 17 for analysis. The search terms used were: “Pattern of help-seeking behavior’’ OR “Pattern of treatment-seeking behavior” OR “Health care-seeking behavior” OR “Help-seeking intention” OR “Help-seeking preferences” OR “Perceived need” OR “Pathways to psychiatric care”, AND “Common mental disorders” OR “Mental illness” OR “Mental health problems” OR “Depression”, AND “Predictors” OR “Determinate factors” OR “Associated factors”, AND “Ethiopia”. The quality of the studies included was critically appraised using the modified The Joanna Briggs Institute (JBI) Joanna Briggs Institute quality assessment tool, adapted for observational studies. During critical appraisal, disagreements between the two authors conducting the assessment were resolved by the involvement of a third author. Effect sizes were pooled using the random effects model, and the presence of publication bias was detected based on asymmetry of the funnel plot and a statistically significant result of Egger’s test (p&lt;0.05).ResultsThe pooled rate of positive help-seeking behavior with respect to modern treatment among people living with mental illness was 42.21% (95% CI: 29.29, 55.12; I2 = 99.37%, P=0.00). Factors significantly associated with a positive pattern of help-seeking behavior were: having a secondary education or above (AOR=5.47, 95% CI: 2.33, 12.86); believing that mental illness requires treatment (AOR=2.76, 95% CI: 2.02, 3.78); having strong social support (AOR=2.00, 95% CI: 1.64, 2.44); having a family history of mental illness (AOR=2.68, 95% CI: 1.38, 3.97); having awareness of the availability of treatment (AOR=2.92, 95% CI: 1.56, 5.46); having previously engaged in positive help-seeking behavior (AOR=3.28, 95% CI: 1.63, 6.60); having comorbid disorders (AOR=4.25, 95% CI: 1.69, 10.66); not using alcohol (AOR=3.29, 95% CI: 1.73, 6.27); and the perceived severity of mental illness (AOR=2.54, 95% CI: 1.490, 4.33).ConclusionsThe majority of people with mental illness in Ethiopia exhibited a poor pattern of help-seeking behavior with respect to modern treatment. Therefore, mobilization of the community should be encouraged via regular public awareness campaigns regarding mental illness and the availability of evidence-based and effective modern treatment in Ethiopia. Moreover, the design of effective community-based mental health interventions is recommended in order to improve public attitudes and rates of help-seeking behavior in relation to mental health problems

    Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-Adjusted life-years for 29 cancer groups, 1990 to 2017 : A systematic analysis for the global burden of disease study

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    Importance: Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data. Objective: To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning. Evidence Review: We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-Adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence. Findings: In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572000 deaths and 15.2 million DALYs), and stomach cancer (542000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601000 deaths and 17.4 million DALYs), TBL cancer (596000 deaths and 12.6 million DALYs), and colorectal cancer (414000 deaths and 8.3 million DALYs). Conclusions and Relevance: The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care. © 2019 American Medical Association. All rights reserved.Peer reviewe

    The global burden of adolescent and young adult cancer in 2019 : a systematic analysis for the Global Burden of Disease Study 2019

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    Background In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. Methods Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. Findings There were 1.19 million (95% UI 1.11-1.28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59.6 [54.5-65.7] per 100 000 person-years) and high-middle SDI countries (53.2 [48.8-57.9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14.2 [12.9-15.6] per 100 000 person-years) and middle SDI (13.6 [12.6-14.8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23.5 million (21.9-25.2) DALYs to the global burden of disease, of which 2.7% (1.9-3.6) came from YLDs and 97.3% (96.4-98.1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. Interpretation Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.Peer reviewe

    Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

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    Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations
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