Study Area and Period
The study was conducted in Addis Ababa construction sites which has direct regulatory communication with Addis Ababa city administration construction office. Addis Ababa is the capital and largest city of Ethiopia and a head seat for the African Union, set for more than 92 embassies and consular representatives, international agencies. It is also the country's commercial, industrial, and cultural center found in central Ethiopia with an elevation of about 2440 m. above sea level on a plateau that is crossed by numerous streams and surrounded by hills. In Addis Ababa, there are more than 2800 registered construction companies that are regulated by the government and authorized PLCs (5). This study includes only construction companies that have direct regulation with Addis Ababa construction office during the study period from April to May 2019.
Study Design
Institutional based Cross-sectional study design was conducted at selected construction sites.
Source Population
All construction workers in Addis Ababa
Study Population
Workers who were directly involved in the building construction and who fulfill eligibility criteria.
Study Subjects and Study Unit
Workers who were directly engaged in building construction work during the data collection period by using payroll or attendance sheets.
Inclusion Criteria
Construction workers at selected organization sites who are actively participating in daily routine construction work and stay more than one day.
Exclusion Criteria
Administrative staff, field supervisors, other supportive staff, workers who stay less than one day and who are on sick leave are excluded from the study.
Sample Size Determination
The lottery method was used to select construction sites to form all construction sites regulated by the Addis Ababa construction office. Dagmawi Minilik eye center, Bole hospital, Tegbareed TVET, Meless Academic, and Lideta police construction sites workers were got chance.
Sampling Procedure
The survey was done from workers at selected construction sites based on eligibility criteria for the interview by using the payroll/attendant sheet as a sampling frame (Fig 1).
Study Variables
Dependent Variable
Utilization of personal protective equipment.
Independent Variable
Age; Sex; Educational Level; Work Experience; Availability of Material; Awareness; perception of injury and Supervision.
Data Collection Technique and Instrument
Data were collected by using pretested and structured Amharic questionnaires via face to face interviews. Questionnaires include socio-demographic, behavioral, and environmental factors that affect PPE utilization within the construction area. Data was collected by six BSc health professionals and two supervisors from MSC candidates. Training and clarification was given for all data collectors and supervisors. Additionally, the principal investigator was involved in solving ambiguities and making further clarifications on the spot.
Data Quality Assurance
To assure data quality pre-testing of the questionnaire was done by 5% of the total sample size at the construction site at Akaki TVET construction site. Data entry had been done by Epi Info on daily bases, there were proper categorization and coding of the data including timely checking of the completeness of questionnaires during data collection. PI was engaged in follow up and checking the completeness of questionnaires through the overall data collection period.
Data Entry Processing and Analysis
Data were checked for completeness, inconsistencies, cleaned, coded. Then the collected data were entered into Epi info version 7.1 and exported to SPSS version 25 for statistical analysis. Univariate analysis was done at a 20% level of significance to screen out potentially significant independent variables. The association between the dependent and independent variables was analyzed using a binary logistic regression model. Those variables in bivariate analysis whose p-value less than 0.20 were included in multivariate logistic regression for not to miss associated factors. Then multivariate analysis was computed for those factors that showed a statistically significant association in bivariate analysis to identify factors that independently influence the occurrence of dependent variables and Finally, variables whose p-value less than 0.05 (p<0.05) in the logistic regression were considered as statistically significant association and they were interpreted by using their adjusted odds ratio.
The output of descriptive statistics was reported by percent, pie chart and graphs to summarize data.
Dissemination of Research Finding
The result of the study will present to the AAU emergency medicine department, will report to the Ethiopian society of emergency professionals, ministry of labor. The finding the study will present at scientific conferences and effort will have to publish in relevant scientific and popular journals.
Operational Definition of Terms
Personal Protective Equipment – Any material, device, equipment or clothing which is used or worn by a worker to protect them from exposure or contact with any harmful material or energy which may cause injury, disease or even death to the worker.
Utilization – The use of PPE consistently and appropriately to prevent injuries and illness.
Occupational Health – A cross-disciplinary area concerned with protecting the safety, health, and welfare of people engaged in work or employment. The goal of all occupational health and safety programs is to foster a safe work environment.
Occupational Injuries – These are any physical injuries resulting from an occupational accident at the workplace.
Risk – is the likelihood that a person may be harmed or suffers adverse health effects if exposed to a hazard at the workplace.