Education and Employment Outcomes in Ghana through the Lens of the Capability Approach

Existing literature on education and employment confirms that in Ghana educational qualification largely influences the type of work. Through the lens of the Capability Approach, which sees human development in terms of the expansion of freedoms and opportunities, this paper identifies, for a cross-section of Ghanaians, the array of employment opportunities between and within education endowments. “Between endowments” refers to differentials in opportunities for individuals with different levels of educational qualifications, while “within endowments” considers the differentials for individuals with the same level of education. The source of data is the 2005/06 Ghana Living Standard Survey (GLSS5). Results show that education is not enough to erase inequalities. Multinomial regression analysis demonstrates that functionings differ according to the individual’s context, household and personal conversion factors. This is explained by inequalities in the requirements for a particular job (between educational endowments) and by job accessibility due to personal characteristics (within educational endowments)

Development of a local antibiogram for a teaching hospital in Ghana

Background: Antimicrobial resistance threatens adequate healthcare provision against infectious diseases. Antibiograms, combined with patient clinical history, enable clinicians and pharmacists to select the best empirical treatments prior to culture results. Objectives: To develop a local antibiogram for the Ho Teaching Hospital. Methods: This was a retrospective cross-sectional study, using data collected on bacterial isolates from January-December 2021. Samples from urine, stool, sputum, blood, and cerebrospinal fluid (CSF) were considered as well as, aspirates and swabs from wound, ears and vagina of patients. Bacteria were cultured on both enrichment and selective media including blood agar supplemented with 5% sheep blood and MacConkey agar, and identified by both the VITEK 2 system and routine biochemical tests. Data on routine culture and sensitivity tests performed on bacterial isolates from patient samples were retrieved from the hospital's health information system. Data were then entered into and analysed using WHONET. Results: In all, 891 pathogenic microorganisms were isolated from 835 patients who had positive culture tests. Gram-negative isolates accounted for about 77% of the total bacterial species. Escherichia coli (246), Pseudomonas spp. (180), Klebsiella spp. (168), Citrobacter spp. (101) and Staphylococcus spp. (78) were the five most isolated pathogens. Most of the bacterial isolates showed high resistance (>70%) to ampicillin, piperacillin, ceftazidime, ceftriaxone, cefotaxime, penicillin G, amoxicillin, amoxicillin/clavulanic acid, ticarcillin/clavulanic acid and trimethoprim/sulfamethoxazole. Conclusions: The isolates from the various samples were not susceptible to most of the antibiotics used in the study. The study reveals the resistance patterns of E. coli and Klebsiella spp.To some antibiotics on the WHO 'Watch' and 'Reserve' lists. Using antibiograms as part of antimicrobial stewardship programmes would optimize antibiotic use and preserve their efficacy

The capabilities approach and agency for shaping family formation trajectories in Ghana

Context/Background: Developed by Amartya Sen, the Capabilities Approach (CA) has been applied in several domains of abstraction for understanding human well-being and development. However, there is very little about CA in the processes of forming families, particularly in Africa. This paper employs CA to examine the Ghanaian family formation trajectories. It explores the norms and preferences, the choices and decision-making processes, timing as well as constraints embedded in the family formation process.Data sources and methods: This paper draws on a bigger Ghana/Mali qualitative research that contrasted individual realities and collective images of family formation trajectories in the two countries, but specifically focuses on the Ghana case to understand the individual family formation trajectories in terms of their family life histories, resources available to them as well as their notions on the ideal family life. It is based on analyses and discussions of thirty (30) in-depth interviews conducted in rural and urban Ghana.Results:The results show an inherent interplay of agency-driven idealized goals and socio-cultural concerns, in other words, realities that reflect agency-structure concerns with regards to different family life domains (pre-marital relationships, partner choice-making, marriage, etc.).Conclusion:Based on the analyses, we conclude that the concepts of ‘ambivalence’ and ‘agency’ are important in smoothening the difficulties family formation actors encounter in pursuing their personal family life goals within the context of socio-cultural family life requirements

Design and Development of Diabetes Management System Using Machine Learning

This paper describes the design and implementation of a software system to improve the management of diabetes using a machine learning approach and to demonstrate and evaluate its effectiveness in controlling diabetes. The proposed approach for this management system handles the various factors that affect the health of people with diabetes by combining multiple artificial intelligence algorithms. The proposed framework factors the diabetes management problem into subgoals: building a Tensorflow neural network model for food classification; thus, it allows users to upload an image to determine if a meal is recommended for consumption; implementing K-Nearest Neighbour (KNN) algorithm to recommend meals; using cognitive sciences to build a diabetes question and answer chatbot; tracking user activity, user geolocation, and generating pdfs of logged blood sugar readings. The food recognition model was evaluated with cross-entropy metrics that support validation using Neural networks with a backpropagation algorithm. The model learned features of the images fed from local Ghanaian dishes with specific nutritional value and essence in managing diabetics and provided accurate image classification with given labels and corresponding accuracy. The model achieved specified goals by predicting with high accuracy, labels of new images. The food recognition and classification model achieved over 95% accuracy levels for specific calorie intakes. The performance of the meal recommender model and question and answer chatbot was tested with a designed cross-platform user-friendly interface using Cordova and Ionic Frameworks for software development for both mobile and web applications. The system recommended meals to meet the calorific needs of users successfully using KNN (with k=5) and answered questions asked in a human-like way. The implemented system would solve the problem of managing activity, dieting recommendations, and medication notification of diabetics

Density and Regional Distribution of Radiologists in a Low-Income Country: The Ghana Situation

Background: This study assessed the density and distribution of radiologists across all 16 regions in Ghana to generate reference information for planning and policy formulation to encourage radiology specialisation and in designing systems to improve the dissemination of radiological services across all the regions in Ghana. Method: A cross-sectional design was used to collect secondary data on all radiologists (n=93) registered with the Medical and Dental Council of Ghana (MDCG) as of December 2022. This information collected on the records of the MDCG was confirmed with records from the Ghana Association of Radiologists. Population and land area data were also collected from the National Statistical Service of Ghana for each region in the country. The Stata statistical software version 15 was used to analyse the data collected. Results: There were 93 radiologists in the country. The majority were male (n=60, 65%) and about one-third of the radiologists were female. The national density of radiologists was 1.9 radiologists per 5000 km2. Only 3 of the 16 regions in the country had a better distribution of radiologists per 5000 km2. There were 3 radiologists per million people in Ghana with a skewed regional distribution. Seven out of the 16 regions lacked radiologists. The proportion of female radiologists stationed within the Greater Accra and Ashanti regions was 87.9% (29/33). The Bono, Eastern, Northern and Western regions had one female radiologist each. Conclusions: Actions are needed to improve the shortage and skewed distribution of radiologists. The outcome will help to improve radiological services across all the regions in Ghana