4.1. Study Area and Period
The study conducted in Hossana town, South Ethiopia. It is located 232 km from Addis Ababa, capital of Ethiopia and 170 km from Hawassa, capital of SNNPR. The study will be conducted from March, 2023 to May, 2023.
4.2. Study Design
Community based cross sectional study design was applied.
4.3. Source Population and Study Population
All food handlers from a selected catering establishment in Hossana Town which has license will be study subjects, and all food handlers, who are engaged in food preparation, serving, andcleaning and reported to have never used any antimicrobial in the last 2 weeks and during the study period will be studied.
4.5. Study participants
The study participants were purposively selected from the catering establishment one from Kitchen and one from waiters.
4.6. Inclusion and Exclusion criteria
Inclusion criteria
All study participant who are worked for at least for 6 months in the establishment and all food handlers who are reported to have never used any antimicrobial in the last 2 weeks and during the study period and working in food catering establishments such as hotels, cafeterias, restaurants, tea/snack house, fruit and juice house will be included in the study. Licensed food establishments included in order to find the actual information for this study and these establishments also expected to provide food service for large people.
Exclusion criteria
Severely ill participants and those who were on medication excluded from this study. Food handlers in drinking service establishment and non-licensed Street food vendors or hawkers will be excluded. Food handlers working in drinking service establishment excluded because the risk of getting disease caused by bacterial contamination is high in food catering establishments than establishment that give only drinking service. In addition, Food handlers who have skin irritation, eczema, and inflammation will be excluded in the study, and all those people who are not willing to participate in the study will be excluded. Participants with a history of using antibiotic(s) 2 weeks prior to the study were excluded.
4.7. Sample size determination
The sample size will be calculated using a single population proportion formula
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)
4.8. Sampling techniques
According to Hossana Town Trade and Investment bureau (2016) there were 121 tea house, 78 café and restaurants, and 27 hotel. To select representative participants, the final sample size proportionally allocated to each stratum, and food handlers selected using simple random sampling technique. As a result, one food handler selected randomly from each catering establishment. Accordingly, 83, 54 and 19 participants included from selected tea house, café and restaurant and hotels respectively for the study.
4.9. Sampling Procedures
From each strata the catering establishment was selected randomly and the data collectors prepared a frame based on the strata,
4.10. Data Collection Tools and Procedures
A pre-tested structured questionnaire was used to collect data relating to socio-demographic characteristics, and personal hygiene practices of food handlers, life style and behavioral, work related factors. The questionnaire developed from validated tools [14-16] and prepared in English and translated in to Amharic and observational checklist also used to get supplement data. Five sanitarians and four medical laboratory professionals was selected for data collection. Before starting any meal preparation activity including hand washing (if any), participant’s hands were sampled for microbial testing. Notification not given in advance, and extra hand hygiene not allowed during data collection.
4.12. Laboratory data
4.12.1. Sample collection and transport and inoculation
Sterile cotton swabs (Puritan Low-Lint Cylindrical Tip) were prepared and dipped into saline-containing sterile test tubes to collect samples from the fingernails and palm of the hand. Using these moistened cotton swabs, fingernail contents were collected from both hands of each subject by rubbing all over the surface under the nails. These samples were kept with normal saline in a test tube and transported to Hosanna College of health science laboratory by cold chain about 40C. The swab was simultaneously inoculated on MacConkey agar for the growth of gram negative bacteria and manitol Salt agar for staphylococcal bacteria. Then the remaining sample subjected for gram staining to get clue information about the gram reaction. All samples were cultured on same day of collection.
4.12.2. Bacterial identification
All of the samples were inoculated onto MacConkey agar (Oxoid, Hampshire, UK) and Manitol salt agar (Oxoid, Hampshire, UK) . After 24 h of incubation at 37 0C, colony characteristics of the isolates and gram stain were performed then the species of the bacteria were identified following standard procedures using biochemical tests such as catalase, Coagulase, indole, motility, triple sugar iron agar, citrate, and urea (Vandepitte and Verhaegen, 2003).
4.13. Study Variables
Dependent variable
Bacterial hand contamination.
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)
4.14. Operational definition of selected variables
Bacterial hand contamination: presence of one or more potential food borne bacterial hand contaminants
Food borne diseases - intoxication, infection, or illness contracted by the consumption of contaminated food
Food handler - a person who is engaged in the process of food preparing, serving, and cleaning etc.
Potential food borne bacterial contaminants – bacterial pathogens that can cause food contamination or spoilage
Personal hygiene - refers to those protection measures primarily with the responsibility of the individual, which promote and limit the spread of infectious disease, like hand washing using soap and water, keep body clean etc.
4.15. Data quality management
To manage the quality of the work SOP strictly followed during processing of each sample. All the instruments used for sample processing checked for proper functioning as far quality control strains of S. aureus (ATCC 6538) was used. Data consistency and completeness will be made all the way during data collection, data entry and analysis. Culture Medias was prepared based on the manufactures instruction. The sterility of culture media was checked by incubating 3% of the batch at 35 – 37 oc overnight. Those Media which showed any growth was discarded.
4.16. Data Processing and Analysis
The data was entered into Epidata version 3.1 and analyzed by using SPSS version 20 (Copyright (c) SPSS Inc., 1997-2007, Polar Engineering and Consulting.) computer software. Data will be organized, summarized, and presented in simple descriptive Statistical methods. Chi-square test was used for checking any possible association between various categorical variables, and p-value<0.05 considered as significant.
4.17. Ethical Consideration
Ethical clearance obtained from Hossana College of Health Sciences Research and Ethics publication Committee (RPC) to conduct the study, and permission to conduct the was obtained from Hossana Town municipality council. Further Permission also obtained from the owners of the Catering establishments and written consent was obtained from each study participants. Confidentiality of the data maintained by making the data collectors aware not to record any identification information found on the card. For those who are carrier of permanent intrinsic pathogens appropriate referral linkage will be suggested
4.18. Dissemination Plan
The finding of the study will be disseminated to different stakeholders such as Hossana Town Trade and Investment bureau, Municipality, and other relevant offices.