Factors influencing the long-term competitiveness of commercial milk producers: evidence from panel data in East Griqualand, South Africa

This study investigates factors influencing the long-term competitiveness of 11 commercial milk producers from East Griqualand (EG), South Africa using unbalanced panel data for the period 1990 to 2006. Results of a ridge regression analysis show that dairy herd size, the level of farm debt, annual production per cow, technology and policy changes over time, and the ratio of trading income to total milk income influence the long-term competitiveness of these milk producers. To enhance their competitiveness in a deregulated dairy market, relatively small and profitable EG milk producers should consider increasing their herd sizes, as the importance of herd size in explaining competitiveness suggests that size economies exist. All EG milk producers should consider utilising more pasture- and forage-based production systems to lower feed costs and select dairy cattle of superior genetic merit to improve milk yields on pasture.Commercial milk production, competitiveness, panel data, Production Economics,

Application of Negative Binomial Regression for Assessing Public Awareness of the Health Effects of Nicotine and Cigarettes

Both the public and private sectors have acted responsibly to help decrease smoking-related deaths by putting health warnings on all cigarette packages. This study investigated the social or demographic factors associated with public awareness of health warnings on the harmful effects of environmental tobacco smoke based on baseline data collected by the South African Human Sciences Research Council (HSRC). Respondents in the survey were asked to recall thenumber of anti-smoking messages which appeared as warning messages on cigarette advertisements. The number of anti-smoking messages recalled ranged from 0 to 9 with a mean of 3.09 (variance of 5.99) and a median of 3.00. Because the variance was nearly two times greater than the mean, the negative binomial regression model provided an improved fit to the data and accounted better for overdispersion than the Poisson regression model, which assumed that the mean and variance are the same. The level of education and race were foundto be the most significant factors. Moreover, the lower socio-economic class nonsmokers’ anti-smoking messages recalling rate was 2.5 times that of the lower socio-economic class smokers. Unlike men, women’s anti-smoking message response rate increased with income

Analysis of demographic and health survey to measure poverty of household in Rwanda

The use of the asset index in poverty targeting is a modern technique. We used the principal component analysis (PCA) technique in order to create the asset index. Then the asset index was used to assess the socio-economic status (SES) of households. The reliability of the index was tested firstly by ascertaining whether the index was internally coherent, secondly the robustness was tested using the sub-indices such as housing infrastructure and ownership. The methodology is applied and demonstrated using the household survey data in Rwanda. The Rwanda data analysis showed that the age of household head, education level of the household head, gender of the household head, place of residence, the province of household head and size of the household (number of household members) were the significant predictors of poverty of the household in Rwand

The Development of a Scoring Tool for the Measurement of Performance in Managing Hypotension and Intra-Operative Cardiac Arrest during Spinal Anaesthesia for Caesarean Section

Background: At level one hospitals in South Africa a high annual number of maternal deaths occur due to the unrecognised/ untreated complications of spinal anaesthesia. The authors developed a clinical scenario and scoring system to measure intern performance in managing hypotension and cardiac arrest during spinal anaesthesia for caesarean section on a human patient simulator. This system was then subjected to tests of validity and reliability.Methods: The simulator-based clinical scenario was developed by two specialist anaesthesiologists. A modified Delphi technique was used to achieve consensus among 10 anaesthetic specialists regarding a standardised scoring system. A total of 20 medical officers with a Diploma in Anaesthesiology and 20 interns completed the scenario and were scored by two senior anaesthesiologists.Results: Medical officers scored an average of 252 and 246 points, whereas interns scored an average of 216 and 215 points (p = 0.005 and p = 0.013, respectively). The scoring instrument demonstrated high inter-assessor reliability with an intra-class correlation coefficient of 0.983.Conclusions: The scoring tool was shown to be valid and reliable. It offers a standardised assessment process and may be used to refine institutional intern training programmes, with a view to improving anaesthesia skills in community service medical officers.Keywords: Anaesthesia Spinal, Caesarean Section, Internship, Residency, Simulation, Simulato

Establishing a robust technique for monitoring and early warning of food insecurity in post-conflict south Sudan using ordinal logistic regression

The lack of a “gold standard” to determine and predict household food insecurity is well documented. While a considerable volume of research continues to explore universally applicable measurement approaches, robust statistical techniques have not been applied in food security monitoring and early warning systems, especially in countries where food insecurity is chronic. This study explored the application of various Ordinal Logistic Regression techniques in the analysis of national data from Southern Sudan. Five Link Functions of the Ordinal Regression model were tested. Of these techniques, the Probit Model was found to be the most efficient for predicting food security using ordered categorical outcomes (Food Consumption Scores). The study presents the first rigorous analysis of national food security levels in postconflict Southern Sudan and shows the power of the model in identifying significant predictors of food insecurity, surveillance, monitoring and early warning.The FAO Southern Sudan Sub-Office and FAO Rome.http://www.tandfonline.com/loi/ragr2

Factors influencing the long-term competitiveness of commercial milk producers: evidence from panel data in East Griqualand, South Africa

This study investigates factors influencing the long-term competitiveness of 11 commercial milk producers from East Griqualand (EG), South Africa using unbalanced panel data for the period 1990 to 2006. Results of a ridge regression analysis show that dairy herd size, the level of farm debt, annual production per cow, technology and policy changes over time, and the ratio of trading income to total milk income influence the long-term competitiveness of these milk producers. To enhance their competitiveness in a deregulated dairy market, relatively small and profitable EG milk producers should consider increasing their herd sizes, as the importance of herd size in explaining competitiveness suggests that size economies exist. All EG milk producers should consider utilising more pasture- and forage-based production systems to lower feed costs and select dairy cattle of superior genetic merit to improve milk yields on pasture

Drugs in upper respiratory tract infections in paediatric patients in North Trinidad

Objective: We explored the prescribing patterns of physicians in North Trinidad in treating upper respiratory tract infections (URTI) in paediatric patients and the appropriateness of drugs prescribed.Methods: A retrospective observational study was conducted, with a sample size of 523 paediatric patients, diagnosed with an URTI during the period of June 2003 to 22 June 2005. The study was conducted at five Primary Health Care Facilities in North Trinidad.Results: The three most frequent URTIs diagnosed were non-specific URTI, common cold, and acute tonsillitis in rank order. Four patterns of prescribing were identified, (1) no drug therapy [1.9%]; (2) antibiotic therapy alone [6.1%]; (3) antibiotic and symptomatic therapy [53.0%]; and (4) symptomatic therapy alone [39.0%]. The, most frequently prescribed antibiotics were penicillins (amoxicillin [46.3%] and amoxicillin/clavulanate [5.3%]) and a macrolide (erythromycin [6.1%]). The three symptomatic agents most frequently prescribed were paracetamol [40.1%]; diphenhydramine [29.1%]; and normal saline nasal drops [14.2%]. In 112 cases with swab analyses done, of these, 98.2% revealed a growth of commensals only, while 1.8% grew pathogenic micro-organisms. Of the cases showing commensal growth only, 84.6% were treated with an antibiotic, 14.5% were treated with symptomatic agents alone and 0.9% received no drug therapy at all. Conclusions: A large proportion of paediatric patients diagnosed with an URTI in North Trinidad was prescribed antibiotics although not indicated The inappropriate use of antibiotics can potentiate the worldwide trend of antimicrobial resistance