Background: Hand washing is the simplest, most affordable, and most effective means of limiting the spread of infections. Despite increasing efforts to improve hand washing at critical times (after defecation, after handling child/adult feces or cleaning child’s bottom, after cleaning the environment, before preparing food, and before eating food), mothers/caregivers of under-five children fail to conduct it; but the reason appears unclear. Thus, this study sought to identify hand washing at critical times and associated factors among mothers/caregivers of under-five children in Nefas Silk Lafto Sub-City, Addis Ababa, Ethiopia. Methods: A facility-based cross-sectional study was conducted on April 1-15, 2019, and 312 mothers/caregivers participated. A pretested questionnaire was used to collect data from participants by interviewer-administered technique and the data were analyzed with the Statistical Package for Social Science version 20. The factors were determined by conducting logistic regression and the crude odds ratio (COR) and adjusted odds ratio (AOR) with their respective 95% confidence intervals. All statistical tests were conducted at a 5% level of significance. Results: The study revealed that 232 (74.4%; 95% CI [69.6%-79.2%]) mothers/caregivers washed their hands at critical times. The illiterate mothers/caregivers and mothers/caregivers who lacked tap water inside the home or the backyard had 66% (AOR = 0.34; 95%CI [0.17-0.69]) and 62% (AOR = 0.38; 95%CI [0.18-0.80]) reduced odds of washing hands at critical times, respectively. Mothers/caregivers from middle had (AOR = 4.56; 95%CI [1.84-11.33]), richer had (AOR = 5.61; 95%CI [2.11-15.30]), and the richest had (AOR = 6.14; 95%CI [2.24-16.72]) times increased likelihood of washing hands at critical times than the poorest. Conclusion: The majority of mothers/caregivers practiced hand washing at critical times, and improving maternal literacy, household economy, and availability of water sources in the backyard are needed to maintain and enhance the practice.
Study area: Nefas Silk Lafto Sub-City is one of the ten sub-cities in Addis Ababa. It borders the Kolfe Keranio, Lideta, Kirkos, Bole, and Akaki-Kaliti sub-cities. The sub-city is located between coordinates 8°56′57″ latitude and 38°43′58″ longitude. It is divided into 13 woredas and has total area coverage of 68.30 km2 (26.37 square miles) hectares of land. The total population of the sub-city was estimated to be 366,006 with male to female ratio of 1:1 in 2021. A population is being served by 10 public health centers, 2 public hospitals, 34 private clinics and health coverage of the sub-city is 100%.21 Regarding the water supply, about 95% of households get water from an improved source (piped water sources) and the estimated domestic per capita water consumption was 52 l/c/day. An improved sanitation coverage was below 10% (8%) in the sub-city and a hygiene index was medium (53%),22 and there were no sustainably functioning public hand washing facilities in the sub-city. Study design and period: Institution-based cross-sectional study was carried out on April 1-15, 2019. Study populations: A study populations were who visited health facility during the survey period. Sample size determination: The sample size was calculated manually using the single population proportion formula (n=(Z12)2p(1−p)d2) with the following assumptions; the expected proportion (p) of hand washing practice at critical times 89.6%,19 5% significance level (z = 1.96), 5% margin of error (d), 2 design effect and 10% expected nonresponse rate gave us a sample size of 315. Sampling procedures: Nefas Silk Lafto sub-city had 10 public health centers and 4 health centers (1 health center from each Woreda; woreda 1, 2, 4, and 12) were randomly selected by simple random sampling. The total sample required from each health center was allocated proportionally to the size of the under-five children in each health center catchment. The mothers/caregivers presenting to the health centers with their children for immunization and other childcare services were interviewed. They were selected with an interval of three via a systematic random sampling technique. Study variables: The dependent variable was hand washing at critical times. The independent variables were maternal literacy, paternal literacy, availability of tap water in the backyard, access to health education on hand washing, maternal knowledge on the purpose of hand washing at critical times, average family size, number of live children, and household wealth. Definition of terms: Mother/caregivers or fathers who could only read and write to those who achieved higher degrees were considered literate while those who could not read and write were considered as illiterate. A mother/caregiver had knowledge on the purpose of hand washing if she had information or heard of hand washing and believed that hand washing could prevent disease prevention. Health extension workers (nurses with a diploma in academic qualification and trained on urban health extension packages) and other health professionals were considered as health workers. Data collection: Data were collected by pre-oriented certified nurses with a diploma in academic qualification with strong supervision and follow-up by the supervisor and the investigators. A pretested structured questionnaire was used to collect the data and the interview was administered to the respondents in the Amharic language. One day orientation was given to the data collectors and a supervisor on the objective of the study, how to approach and interview the participants and keep the quality of the data. Before collecting the actual data, 5% of the sample size was pretested at other health facilities to validate the tool and the necessary correction was made to data collection tool. Data on socio-demographic/economic, information, and knowledge related to hand washing and hand washing practice of mother/caregiver were collected on a daily basis via interviewing a mother during the month of December 2019. Data analysis: The educational status of mothers/caregivers was categorized into poorly literate and literate because some of the expected cells violated chi-square assumption (contained value less than five) when the highest grade point achieved was assumed. The wealth index (indicator of living standard of household) was constructed through principal component analysis (PCA) from household assets. We ranked the extracted component into quintiles (five tiles); each quintile holding 20% of households, and the household that belongs to the first quintile was categorized as the poorest and the households that belong to the second, third, fourth, and fifth quintiles were categorized as poor, middle, rich, and the richest, respectively. The value/score one was assigned for a moment when a mother/caregiver had washed her hands with water and soap/substitutes and zero was assigned if a mother/caregiver did not. The scores were summed up to five and a mother/caregiver who had a total score of five was considered as washed her hands at critical times. If the sum of scores is less than five, a mother/caregiver was treated as did not wash her hands at critical moments. Descriptive statistics had been used to describe the study variables and logistic regression was undertaken to identify the factors associated with hand-washing practices. Multi-collinearity test among independent variables was checked at variance inflation factor less than 10 or tolerance greater than 0.1 and a chi-square test was carried out to check expected cells adequacy by cross-tabulation. The model fitness was checked by the Hosmer and Lemshaw model fitness test at nonsignificant p-value and a chi-square test was conducted to check the expected cells adequacy. Findings of descriptive analysis were presented by frequency and percentage, mean or median and the regression outputs were presented by crude and adjusted odds ratios with their 95% confidence intervals. In multivariable analyses, the level of significance was set at P = .05. Quality assurance: Translation and back translation of the questionnaire from English to Amharic and back to English by different individuals to check consistency was undertaken. At the end of each data collection day, data were checked for completeness and consistency, and a discussion with the research assistants was carried out. A unique identification number was assigned to each questionnaire after editing and checking completeness and consistency. After entering the data into SPSS 20, 10% sample was checked for correct entry and cleaning was also continued up to the end of the descriptive analysis.
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