DESIGN: We estimated economic costs from the provider perspective to calculate the total cost and the cost per self-test kit distributed for three scenarios that differed by costing period (pilot, annual), the number of tests distributed (actual, planned, scaled assuming an epidemic peak) and self-test kit costs (pilot purchase price, 50% reduction).
SETTING: We used data collected between August and December 2022 in Brazil, Georgia, Malaysia, Ethiopia and the Philippines from pilot implementation studies designed to provide COVID-19 self-tests in a variety of settings-namely, workplace and healthcare facilities.
RESULTS: Across all five countries, 173 000 kits were distributed during pilot implementation with the cost/test distributed ranging from $2.44 to $12.78. The cost/self-test kit distributed was lowest in the scenario that assumed implementation over a longer period (year), with higher test demand (peak) and a test kit price reduction of 50% ($1.04-3.07). Across all countries and scenarios, test procurement occupied the greatest proportion of costs: 58-87% for countries with off-site self-testing (outside the workplace, for example, home) and 15-50% for countries with on-site self-testing (at the workplace). Staffing was the next key cost driver, particularly for distribution modalities that had on-site self-testing (29-35%) versus off-site self-testing (7-27%).
CONCLUSIONS: Our results indicate that it is likely to cost between $2.44 and $12.78 per test to distribute COVID-19 self-tests across common settings in five heterogeneous countries. Cost-effectiveness analyses using these results will allow policymakers to make informed decisions on optimally scaling up COVID-19 self-test distribution programmes across diverse settings and evolving needs.
OBJECTIVE: To determine the primary and root causes of recorded accidents, demographics of the person involved, and solutions to prevent the recurrence of certain accidents.
METHODS: This study analyzed 185 occupational injury cases in a food and beverage manufacturing company in the Philippines from January to December 2018. A comprehensive classification system was established to examine and code each case in terms of age, gender, working shift, employee type, tenure, department, category, activity during the accident, root cause of injury, injury classification, direct cause of injury, type of injury, part of body injured, agent of injury, and location of the accident. Cramer's V analysis and Phi coefficient analyses were employed on the subject cases to determine the significant factors and the corresponding extent of significance.
RESULTS: The results showed that the majority of the occupational injuries were caused by stepping on, striking against, or stuck by objects (77 cases, 41.6%), caught in between (34 cases, 18.4%), fall (34 cases, 18.4%), and exposure or contact with extreme temperatures (24 cases, 13%). Interestingly, female workers who had accidents were more likely due to inadequate hazard information or lack of procedures whereas male workers were more likely due to failure to secure. The prevention measures such as passive safeguards and personal protective equipment, pictograms, and regular safety audits were derived from the results of these analyses.
CONCLUSIONS: This study is the first comprehensive analysis of occupational injuries in the food and beverage industry in the Philippines. The findings can be applied to positively influence the effectiveness of prevention and rehabilitation programs mitigating workplace injuries and illnesses.