38 research outputs found

    They Should Not Be Someone Who Will Tell Their Story: Education for Democracy in Secondary Schools of Addis Ababa, Ethiopia

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    This study tries to identify practical challenges of teaching democracy in secondary schools in Addis Ababa using qualitative research method. The data was collected by interviews, document analysis and classroom observations. The most important finding shows that there is a discrepancy between the theoretical part of teaching democracy in the classroom and the actual practice in the society. Moreover, instead of working for democracy, there seems to be expecting from others. Creating continuity between the theory and practice by raising awareness and ensuring accountability is one of the suggestions.

    Knowledge Engineering using The Weak-Transitive-Closure algorithm -- A case study of The University of Oslo's IT system

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    The complexity of human-computer systems nowadays requires the aid of manageable and simplified, machine-readable representation of those systems. In addition, the need to accommodate appropriate and mandatory changes to legacy systems is an inherent challenge in system administration tasks. Thus, a state-of-the-art knowledge management system must be capable of balancing both these needs. A reasoning method that works via a simplified calculus of facts and rules was suggested by professors Alva L. Couch of Tufts University and Mark Burgess of Oslo University College. The name `weak-transitive-closure algorithm' or the WTC algorithm for short, is adopted here for this method owing to the key technique applied in the system. This method visualizes complex systems as directed graphs, and applies graph theory techniques for inference of causal dependence between components of the system. This thesis is an investigative study of the application of the WTC algorithm, using University of Oslo's IT system as the application domain. A topic map representation already exists for this system. The application of the WTC algorithm requires a thorough study of the problem domain, so as to construct a knowledge base and a set of rules as the embodiment of the abstractions, modeling and representation of the system. These sets of facts and rules are then input to a prototype engine, which uses them for supplying answers to queries about the system. In contrast, the topic map representation of the system is as undirected graph, comprised of discrete components called topics connected by the edges known as associations. Evaluation of the two representations at various levels is done thoroughly, since both enforce some constraints on how to model and represent the system. In the process, the new opportunities of the weak-transitive-closure algorithm in supplementing and/or replacing the topic map representation are investigated. We demonstrate that the WTC algorithm has the advantage of discovering connections with specific properties, by generating the paths automatically, which is more optimized for troubleshooting. In addition, the WTC algorithm's presentation is more suitable for learning about legacy systems

    Teachers Induction Practices in Secondary Schools of Ethiopia

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    The main purpose of the study was to investigate the practice of teachers’ induction in secondary schools of Ethiopia. The data was collected from Addis Ababa City Administration (AACA), Amhara Regional Stats (ARS), and Benishangul Gumuz Regional State (BGRS). These sites were selected according to the criterion of maximal variation. A total of 76 mentors, 95 Newly Qualified Teachers (NQTs), and 23 education personnel took part in the study using concurrent multilevel sampling design. The methodology is mixed; pragmatism as a philosophical assumption, and convergent parallel design as a strategy. The finding indicates that the awareness of a significant number of the research participants towards the teachers’ induction program is high. However, there are also individual teachers and education personnel who are left behind, which may affect the practice of induction and the learning of students. Moreover, the outcome of the practice of induction regarding turnover, increment of the commitment of teacher, improvement of classroom practice, and achievements of students was found to be limited. Significant numbers of NQTs begin teaching without the feeling of adequate preparation. Moreover, during their early induction period, they go through the feelings of loneliness, lost and insecurity. Significant portion of them were also left alone to integrate themselves with the school system. The support scheme lacks diversity and extrinsic motivation/impetus. However, both mentors and mentees consider mentoring positively, even though this needs to be revisited since there is a lack of flexibility in the use of newly emerging mentoring modalities. Among other things, a centralized approach of induction, guided by a single module all over the nation, hampered incorporating newly emerging needs of the NQTs. The support system also suffers from disparity among the research sites in which AACA provide more support to NQTs than the other regions. Work load, classroom management and students’ discipline have been identified as the main challenges of NQTs. The challenges of induction mainly emanated from the recruitment of individuals who lack both interest and competency accompanied by centralised induction modality which has been in use for more than a decade without updating. We can abridge that the practice of induction in secondary schools of Ethiopia is weak. The recruitment of competent and interested individuals for the teaching profession should be underlined and cemented by providing adequate support both during pre-service and in-service programs. The in-service support system should start with individually tailored induction program

    Maternity waiting homes in Rural Health Centers of Ethiop: The situation, women’s experiences and challenges

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    Background: Maternity waiting homes have been promoted to improve pregnant women’s access to quality obstetric care. The main aim of this study was to assess the situation of maternity waiting homes and the experiences and challenges of mothers using waiting homes.Methods: A cross-sectional study was conducted in 134 health centers in Amhara, Oromia, Southern Nations Nationalities and People (SNNP) and Tigray regions of Ethiopia. The study employed both quantitative and qualitative methods. Data were collected by interviewing the head of the health centers and women staying at the waiting homes during the time of the survey.Results: Ninety-four (70%) health centers had maternity waiting homes at the time of the survey. Typologies of the waiting homes and their capability of holding clients varied from region to region. Protocols for managing the waiting homes and admission and discharge criteria were not available elsewhere. Mothers who used waiting homes faced several challenges: No one was available to care for children at home, mothers were considered as being lazy, food problems and lengthy prenatal stay were among the challenges mothers mentioned of staying at the waiting homes.Conclusions: It is necessary to prepare guidelines for the establishment and management of waiting homes as well as set up admission and discharge criteria and to initiate quality control mechanisms. Keywords: Maternity waiting homes, waiting homes, prenatal care, intention to stay postpartum, postpartum care, Ethiopia, health center, obstetric complication

    Health system capacity for Tuberculosis Care in Ethiopia: evidence from national representative survey

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    Objective The objective of this study was to evaluate the TB health system capacity and its variations by location and types of health facilities in Ethiopia. Settings The study included 873 public and private health facilities all over Ethiopia. Design We used the Service Provision Assessment plus (SPA+) survey data that were collected in 2014 in all hospitals and randomly selected health centers and private facilities in all regions of Ethiopia. We assessed structural, process and overall health system capacity based on the Donabedian quality of care model. Multiple linear regression and spatial analysis were done to assess TB capacity score variation across regions. Results A total of 873 health facilities were included in the analysis. The overall TB care capacity score was 76.7%, 55.9% and 37.8% in public hospitals, health centers and private facilities respectively. The health system capacity score for TB was higher in the urban (60.4%) facilities compared to that of the rural (50.0%) facilities (ÎČ=8.0, 95%CI: 4.4, 11.6). Health centers (ÎČ= 16.2, 95%CI: -20.0, -12.3) and private health facilities (ÎČ= -38.3, 95%CI: -42.4, -35.1) had lower TB care capacity score than hospitals. Overall TB care capacity score were lower in Western and Southern western Ethiopia and in Benishangul Gumz and Gambella regions. Conclusions The health system capacity score for TB care in Ethiopia varied across regions. Health system capacity improvement interventions should focus on the private sectors and health facilities in the rural and remote areas to ensure equity and improve quality of care

    Protocol for the evaluation of a complex intervention aiming at increased utilisation of primary child health services in Ethiopia: a before and after study in intervention and comparison areas.

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    BACKGROUND: By expanding primary health care services, Ethiopia has reduced under-five mor4tality. Utilisation of these services is still low, and concerted efforts are needed for continued improvements in newborn and child survival. "Optimizing the Health Extension Program" is a complex intervention based on a logic framework developed from an analysis of barriers to the utilisation of primary child health services. This intervention includes innovative components to engage the community, strengthen the capacity of primary health care workers, and reinforce the local ownership and accountability of the primary child health services. This paper presents a protocol for the process and outcome evaluation, using a pragmatic trial design including before-and-after assessments in both intervention and comparison areas across four Ethiopian regions. The study has an integrated research capacity building initiative, including ten Ph.D. students recruited from Ethiopian Regional Health Bureaus and universities. METHODS: Baseline and endline surveys 2 years apart include household, facility, health worker, and district health office modules in intervention and comparison areas across Amhara, Southern Nations Nationalities and Peoples, Oromia, and Tigray regions. The effectiveness of the intervention on the seeking and receiving of appropriate care will be estimated by difference-in-differences analysis, adjusting for clustering and for relevant confounders. The process evaluation follows the guidelines of the UK Medical Research Council. The implementation is monitored using data that we anticipate will be used to describe the fidelity, reach, dose, contextual factors and cost. The participating Ph.D. students plan to perform in-depth analyses on different topics including equity, referral, newborn care practices, quality-of-care, geographic differences, and other process evaluation components. DISCUSSION: This protocol describes an evaluation of a complex intervention that aims at increased utilisation of primary and child health services. This unique collaborative effort includes key stakeholders from the Ethiopian health system, the implementing non-governmental organisations and universities, and combines state-of-the art effectiveness estimates and process evaluation with capacity building. The lessons learned from the project will inform efforts to engage communities and increase utilisation of care for children in other parts of Ethiopia and beyond. TRIAL REGISTRATION: Current Controlled Trials ISRCTN12040912, retrospectively registered on 19 December, 2017

    Does a complex intervention targeting communities, health facilities and district health managers increase the utilisation of community-based child health services? A before and after study in intervention and comparison areas of Ethiopia.

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    INTRODUCTION: Ethiopia successfully reduced mortality in children below 5 years of age during the past few decades, but the utilisation of child health services was still low. Optimising the Health Extension Programme was a 2-year intervention in 26 districts, focusing on community engagement, capacity strengthening of primary care workers and reinforcement of district accountability of child health services. We report the intervention's effectiveness on care utilisation for common childhood illnesses. METHODS: We included a representative sample of 5773 households with 2874 under-five children at baseline (December 2016 to February 2017) and 10 788 households and 5639 under-five children at endline surveys (December 2018 to February 2019) in intervention and comparison areas. Health facilities were also included. We assessed the effect of the intervention using difference-in-differences analyses. RESULTS: There were 31 intervention activities; many were one-off and implemented late. In eight districts, activities were interrupted for 4 months. Care-seeking for any illness in the 2 weeks before the survey for children aged 2-59 months at baseline was 58% (95% CI 47 to 68) in intervention and 49% (95% CI 39 to 60) in comparison areas. At end-line it was 39% (95% CI 32 to 45) in intervention and 34% (95% CI 27 to 41) in comparison areas (difference-in-differences -4 percentage points, adjusted OR 0.49, 95% CI 0.12 to 1.95). The intervention neither had an effect on care-seeking among sick neonates, nor on household participation in community engagement forums, supportive supervision of primary care workers, nor on indicators of district accountability for child health services. CONCLUSION: We found no evidence to suggest that the intervention increased the utilisation of care for sick children. The lack of effect could partly be attributed to the short implementation period of a complex intervention and implementation interruption. Future funding schemes should take into consideration that complex interventions that include behaviour change may need an extended implementation period. TRIAL REGISTRATION NUMBER: ISRCTN12040912

    Capacity of health facilities for diagnosis and treatment of HIV/AIDS in Ethiopia

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    Background: There are dearth of literature on the capacity of the health system to diagnose and treat HIV/AIDS in Ethiopia. In this study we evaluated the capacity of health facilities for HIV/AIDS care, its spatial distribution and variations by regions and zones in Ethiopia. Methods: We analyzed the Service Provision Assessment plus (SPA+) survey data that were collected in 2014 in all regions of Ethiopia. We assessed structural, process and overall capacity of the health system based on the Donabedian quality of care model. We included 5 structural and 8 process indicators and overall capacity score was constructed by taking the average of all indicators. Multiple linear regression was done using STATA 14 to assess the association of the location and types of health facilities with overall capacity score. Maps displaying the average capacity score at Zonal level were produced using ArcGIS Desktop v10.3 (Environmental Systems Research Institute Inc., Redlands CA, USA). Results: A total of 873 health facilities were included in the analysis. Less than 5% of the private facilities provided antiretroviral therapy (ART); had national ART guideline, baseline CD4 count or viral load and tuberculosis screening mechanisms. Nearly one-third of the health centers (34.9%) provided ART. Public hospitals have better capacity score (77.1%) than health centers (45.9%) and private health facilities (24.8%). The overall capacity score for urban facilities (57.1%) was higher than that of the rural (38.2%) health facilities (ÎČ = 15.4, 95% CI: 11.7, 19.2). Health centers (ÎČ = − 21.4, 95% CI: -25.4, − 17.4) and private health facilities (ÎČ = − 50.9, 95% CI: -54.8, − 47.1) had lower overall capacity score than hospitals. Facilities in Somali (ÎČ = − 13.8, 95% CI: -20.6, − 7.0) and SNNPR (ÎČ = − 5.0, 95% CI: -9.8, − 0.1) regions had lower overall capacity score than facilities in the Oromia region. Zones located in emerging regions such as Gambella and Benishangul Gumz and in remote areas of Oromia and SNNPR had lower capacity score in terms of process indicators. Conclusions: There is a significant geographical heterogeneity on the capacity of health facilities for HIV/AIDS care and treatment in Ethiopia. Targeted capacity improvement initiatives are recommended with focus on health centers and private health facilities, and emerging Regions and the rural and remote areas

    Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

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    Background: Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods: We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings: From 1950 to 2017, TFRs decreased by 49\ub74% (95% uncertainty interval [UI] 46\ub74–52\ub70). The TFR decreased from 4\ub77 livebirths (4\ub75–4\ub79) to 2\ub74 livebirths (2\ub72–2\ub75), and the ASFR of mothers aged 10–19 years decreased from 37 livebirths (34–40) to 22 livebirths (19–24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83\ub78 million people per year since 1985. The global population increased by 197\ub72% (193\ub73–200\ub78) since 1950, from 2\ub76 billion (2\ub75–2\ub76) to 7\ub76 billion (7\ub74–7\ub79) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2\ub70%; this rate then remained nearly constant until 1970 and then decreased to 1\ub71% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2\ub75% in 1963 to 0\ub77% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2\ub77%. The global average age increased from 26\ub76 years in 1950 to 32\ub71 years in 2017, and the proportion of the population that is of working age (age 15–64 years) increased from 59\ub79% to 65\ub73%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1\ub70 livebirths (95% UI 0\ub79–1\ub72) in Cyprus to a high of 7\ub71 livebirths (6\ub78–7\ub74) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0\ub708 livebirths (0\ub707–0\ub709) in South Korea to 2\ub74 livebirths (2\ub72–2\ub76) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0\ub73 livebirths (0\ub73–0\ub74) in Puerto Rico to a high of 3\ub71 livebirths (3\ub70–3\ub72) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2\ub70% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation: Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Funding: Bill & Melinda Gates Foundation

    Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

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    Background: Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods: We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings: From 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4–52·0). The TFR decreased from 4·7 livebirths (4·5–4·9) to 2·4 livebirths (2·2–2·5), and the ASFR of mothers aged 10–19 years decreased from 37 livebirths (34–40) to 22 livebirths (19–24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3–200·8) since 1950, from 2·6 billion (2·5–2·6) to 7·6 billion (7·4–7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15–64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9–1·2) in Cyprus to a high of 7·1 livebirths (6·8–7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07–0·09) in South Korea to 2·4 livebirths (2·2–2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3–0·4) in Puerto Rico to a high of 3·1 livebirths (3·0–3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation: Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress
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