A Word Sense Disambiguation Model for Amharic Words using Semi-Supervised Learning Paradigm

The main objective of this research was to design a WSD (word sense disambiguation) prototype model for Amharic words using semi-supervised learning method to extract training sets which minimizes the amount of the required human intervention and it can produce considerable improvement in learning accuracy. Due to the unavailability of Amharic word net, only five words were selected. These words were atena (አጠና), derese (ደረሰ), tenesa (ተነሳ), bela (በላ) and ale (አለ). A separate data sets using five ambiguous words were prepared for the development of this Amharic WSD prototype. The final classification task was done on fully labelled training set using Adaboost, bagging, and AD tree classification algorithms on WEKA package.Keywords: Ambiguity Bootstrapping Word Sense disambiguatio

Missed opportunity for alcohol use disorder screening and management in primary health care facilities in northern rural Tanzania:a cross-sectional survey

Objective: The study aimed to identify the missed opportunity for detection and management of alcohol use disorder by primary health care workers. Design: A cross-sectional survey Setting: Outpatient services in the six governmental primary health care facilities in Moshi district council in Tanzania. Participants: A total of 1604 adults were screened for alcohol use disorder (AUD) using the Alcohol Use Disorder Identification Test (AUDIT). Participants scoring 8 or above then provided details about their help-seeking behavior and barriers to seeking care. Participants’ records were reviewed to assess the screening and management of AUD. Results: In the last 12 months, 60.7% reported alcohol use, and heavy episodic drinking (HED) was reported by 37.3%. AUD (AUDIT ≥ 8) was present in 23.9%. Males were more likely to have HED (aPR = 1.43;95% CI:1.3 to 1.4) or AUD (aPR = 2.9; 95% CI 1.9 to 4.2). Both HED and AUD increased with age. Only one participant (0.3%) had documented AUD screening and management. Only 5% of participants screening positive for AUD had sought help. Reasons for not seeking care were thinking that the problem would get better by itself (55.0%), wanting to handle the problem alone (42.0%), or not being bothered by the problem (40.0%). Conclusion: While reported alcohol use, HED, and AUD are common among patients presenting to primary healthcare facilities in northern Tanzania, help-seeking behavior and detection are very low. Not screening for AUD in primary health care is a missed opportunity for early detection and management. There is an urgent need to develop interventions to increase the detection of AUD by health care providers, while also addressing help-seeking behavior and barriers to seeking care

Integration of Alcohol Use Disorder Interventions in General Health Care Settings in Sub-Saharan Africa:A Scoping Review

Introduction: Alcohol use disorder (AUD) is among the leading cause of morbidity and mortality in sub-Saharan Africa. Despite this, AUD is often not detected in health care settings, which contributes to a wide treatment gap. Integrating services for mental, neurological, and substance use disorders in general health care settings is among the recommended strategies to narrow this treatment gap. This scoping review aimed to map the available evidence on integration of AUD interventions in general health care settings in sub-Saharan Africa.Methods: We searched four databases (PubMed, PsycINFO, CINAHL, and Africa Wide Information) for publications up to December 2020. The search strategy focused on terms for alcohol use, alcohol interventions, and sub-Saharan African countries. Studies that reported AUD interventions in general health care settings in sub-Saharan Africa were eligible for inclusion. Over 3,817 potentially eligible articles were identified. After the removal of duplicates and screening of abstracts, 56 articles were included for full article review. Of these, 24 papers reporting on 22 studies were eligible and included in a narrative review.Results: Of the 24 eligible articles, 19 (80%) described AUD interventions that were being delivered in general health care settings, 3 (12%) described plans or programs for integrating AUD interventions at different levels of care, including in health facilities, and 2 (8%) studies reported on AUD interventions integrated into general health care settings.Conclusions: This review shows that there is limited evidence on the integration of AUD interventions in health care settings in sub-Saharan Africa. There is an urgent need for studies that report systematically on the development, adaptation, implementation, and evaluation of integrated AUD interventions in health care settings in sub-Saharan Africa

Adaptation of a model for integration of interventions for alcohol use disorders in primary health care in Tanzania

BACKGROUND: Integrating evidence-based interventions for people with alcohol use disorder (AUD) into primary healthcare (PHC) can increase access to care and reduce morbidity, mortality, and population burden. However, for the integration to be feasible, acceptable, and sustainable, there is a need to contextualize the approach and involve stakeholders. Therefore, this study aimed to use participatory methods to adapt a model for integrating AUD interventions in Tanzania's PHC system at the community, facility, and organizational levels.METHODS: A mixed-methods study was used. Participants include key mental health stakeholders, experts, and PHC providers. We conducted a situational analysis to investigate opportunities and constraints in the existing systems of care, utilizing data available from the routine collection and/or in the public domain, individual semi-structured interviews (n = 11), and focus group discussions (3 groups; total n = 26 participants) and a series of theory of change (ToC) workshops (n = 32). Data from the three methods were triangulated to develop the adapted model for integrating interventions for AUD in PHC.RESULTS: A situational appraisal revealed limited community, facility, and organizational resources and infrastructures for supporting services delivery of integrated AUD interventions. Also, shortage of health workforce, inadequate health management information systems, and limited medical supply and financing. Nevertheless, the theory of change proposed integrated AUD intervention packages and strategies to facilitate integrated care for people with AUD. Additionally, the barriers and facilitators for implementing these integrated AUD interventions and how to overcome them were explored.CONCLUSIONS: The adapted model for the integrated AUD intervention in Tanzanian PHC revealed limited resources and system functioning for facilitating integrated AUD services. Nevertheless, it proposes the needed integrated AUD interventions and its barriers, facilitators, and strategies for overcoming them. There is a need to pilot the adapted model to inform plans for more comprehensive implementation or scaling up

Adaptation of a model for integration of interventions for alcohol use disorders in primary health care in Tanzania

BACKGROUND: Integrating evidence-based interventions for people with alcohol use disorder (AUD) into primary healthcare (PHC) can increase access to care and reduce morbidity, mortality, and population burden. However, for the integration to be feasible, acceptable, and sustainable, there is a need to contextualize the approach and involve stakeholders. Therefore, this study aimed to use participatory methods to adapt a model for integrating AUD interventions in Tanzania's PHC system at the community, facility, and organizational levels.METHODS: A mixed-methods study was used. Participants include key mental health stakeholders, experts, and PHC providers. We conducted a situational analysis to investigate opportunities and constraints in the existing systems of care, utilizing data available from the routine collection and/or in the public domain, individual semi-structured interviews (n = 11), and focus group discussions (3 groups; total n = 26 participants) and a series of theory of change (ToC) workshops (n = 32). Data from the three methods were triangulated to develop the adapted model for integrating interventions for AUD in PHC.RESULTS: A situational appraisal revealed limited community, facility, and organizational resources and infrastructures for supporting services delivery of integrated AUD interventions. Also, shortage of health workforce, inadequate health management information systems, and limited medical supply and financing. Nevertheless, the theory of change proposed integrated AUD intervention packages and strategies to facilitate integrated care for people with AUD. Additionally, the barriers and facilitators for implementing these integrated AUD interventions and how to overcome them were explored.CONCLUSIONS: The adapted model for the integrated AUD intervention in Tanzanian PHC revealed limited resources and system functioning for facilitating integrated AUD services. Nevertheless, it proposes the needed integrated AUD interventions and its barriers, facilitators, and strategies for overcoming them. There is a need to pilot the adapted model to inform plans for more comprehensive implementation or scaling up

A pilot study of implementing an adapted model for integration of interventions for people with alcohol use disorders in Tanzanian primary healthcare facilities

BACKGROUND: Ensuring that evidence-based interventions for people with alcohol use disorders (AUD) are acceptable, effective, and feasible in different socio-cultural and health system contexts is essential. We previously adapted a model of integration of AUD interventions for the Tanzanian primary healthcare system. This pilot study aimed to assess the impact on AUD detection and the acceptability and feasibility of the facility-based components of this model from the perspective of healthcare providers (HCPs).METHODS: This mixed-methods study comprised a pre-post quasi-experimental study and a qualitative study. The integrated model included training HCPs in managing AUD, introducing systematic screening for AUD, documentation of AUD service utilization, and supportive supervision. We collected information on the number of people identified for AUD three months before and after piloting the service model. A non-parametric trend test, a distribution-free cumulative sum test, was used to identify a change in the identification rate of AUD beyond that observed due to secular trends or, by chance, three months before and after implementing the integrated AUD facility-based interventions. The Mann-Kendal test was used to assess the statistical significance of the trend. We conducted three focus group discussions exploring the experience of HCPs and their perspectives on facilitators, barriers, and strategies to overcome them. The focus group discussions were analyzed using thematic analysis.RESULTS: During the pre-implementation phase of the facility-based interventions of the adapted AUD model, HCPs assessed 322 people for AUD over three months, ranging from a minimum of 99 to a maximum of 122 per month. Of these, 77 were identified as having AUD. Moreover, HCPs screened 2058 people for AUD during implementation; a minimum of 528 to a maximum of 843 people were screened for AUD per month for the three months. Of these, 514 screened positive for AUD (AUDIT ≥ 8). However, this change in screening for AUD was not statistically significant (p-value = 0.06). HCPs reported that knowledge and skills from the training helped them identify and support people they would not usually consider having problematic alcohol use. Perceived barriers to implementation included insufficient health personnel compared to needs and inconvenient health management information systems. HCPs proposed strategies to overcome these factors and recommended multisectoral engagement beyond the health system.CONCLUSIONS: Although the change in the trend in the number of people screened for AUD by HCPs post-implementation was not statistically significant, it is still feasible to implement the facility-based components of the adapted integrated AUD model while addressing the identified bottlenecks and strategies for implementation. Therefore, a large-scale, adequately powered implementation feasibility study is needed. Findings from this study will be used to finalize the adapted model for integrating AUD interventions for future implementation and larger-scale evaluation.</p

Problematic khat use as a possible risk factor for harmful use of other psychoactive substances: a mixed method study in Ethiopia

Background: Substance use disorders along with neuropsychiatric disorders contributed about 14% of the global burden of disease. Harmful alcohol use, is a known contributor for many harms (accidents, suicide, violence, and complication of other psychiatric and medical disorders). In the Western countries, alcohol and nicotine are gateway drugs to cannabis use, and cannabis use is a risky behavior for other illicit drugs such as cocaine and heroin. Khat use is another psychoactive substance which is common in East African and Arabian Peninsula. But there is a knowledge gap regarding the position of khat use or problematic khat use in sequential progression of different psychoactive substances. Therefore, we aimed to understand and investigate the relationship of problematic khat use and other psychoactive substances in Ethiopia. Methods: Exploratory mixed methods study was employed. Quantitative cross sectional survey was done among 102 khat users, and 4 focus group discussions and 11 in-depth interviews were conducted to understand the pathways between khat use and other psychoactive substances use in 2014. Non random sampling (purposive and snowballing) was employed for both quantitative and qualitative studies. Khat users from khat cafeterias, shops, and from other open markets of khat in Addis Ababa were invited to participate. Result: Currently significant majorities of khat users (86.3%) used at least one other psychoactive substance after they started khat use. The prevalence of harmful drinking was 53.9% among khat users. Problematic khat use was a significant predictor of harmful drinking (p<0.05). About one from ten respondents engaged to risky sexual behavior pushed by the effect of khat after chewing. Conclusion: The proportion of psychoactive substances use especially harmful drinking among khat users was observed higher compared to other cross sectional surveys conducted among general population. In Ethiopia, intervention and policy on harmful alcohol use could consider problematic khat use as one possible risky factor. A rigorous methodology which could test gateway hypothesis

Malaria prevalence and mosquito net coverage in Oromia and SNNPR regions of Ethiopia.

RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.BACKGROUND: Malaria transmission in Ethiopia is unstable and seasonal, with the majority of the country's population living in malaria-prone areas. Results from DHS 2005 indicate that the coverage of key malaria interventions was low. The government of Ethiopia has set the national goal of full population coverage with a mean of 2 long-lasting insecticidal nets (LLINs) per household through distribution of about 20 million LLIN by the end of 2007. The aim of this study was to generate baseline information on malaria parasite prevalence and coverage of key malaria control interventions in Oromia and SNNPR and to relate the prevalence survey findings to routine surveillance data just before further mass distribution of LLINs. METHODS: A 64 cluster malaria survey was conducted in January 2007 using a multi-stage cluster random sampling design. Using Malaria Indicator Survey Household Questionnaire modified for the local conditions as well as peripheral blood microscopy and rapid diagnostic tests, the survey assessed net ownership and use and malaria parasite prevalence in Oromia and SNNPR regions of Ethiopia. Routine surveillance data on malaria for the survey time period was obtained for comparison with prevalence survey results. RESULTS: Overall, 47.5% (95% confidence interval (CI) 33.5-61.9%) of households had at least one net, and 35.1% (95% CI 23.1-49.4%) had at least one LLIN. There was no difference in net ownership or net utilization between the regions. Malaria parasite prevalence was 2.4% (95% CI 1.6-3.5%) overall, but differed markedly between the two regions: Oromia, 0.9% (95% CI 0.5-1.6); SNNPR, 5.4% (95% CI 3.4-8.5), p < 0.001. This difference between the two regions was also reflected in the routine surveillance data. CONCLUSION: Household net ownership exhibited nearly ten-fold increase compared to the results of Demographic and Health Survey 2005 when fewer than 5% of households in these two regions owned any nets. The results of the survey as well as the routine surveillance data demonstrated that malaria continues to be a significant public health challenge in these regions-and more prevalent in SNNPR than in Oromia