METHODS: The observational study (#NCT04367337) enrolled 6064 adults residing in Australia, Canada, China, France, Gambia, Germany, Israel, Italy, Malaysia, Poland, Portugal, Romania, Singapore, and Switzerland. Data on handwashing adherence across 8 situations (indicated in the WHO guidelines) were collected via an online survey (March-July 2020). Individual-level handwashing data were matched with the date- and country-specific values of the 6 indices of the trajectory of COVID-19 pandemic, obtained from the WHO daily reports.
RESULTS: Multilevel regression models indicated a negative association between both accumulation of the total cases of COVID-19 morbidity (B = -.041, SE = .013, p = .013) and mortality (B = -.036, SE = .014 p = .002) and handwashing. Higher levels of total COVID-related morbidity and mortality were related to lower handwashing adherence. However, increases in recent cases of COVID-19 morbidity (B = .014, SE = .007, p = .035) and mortality (B = .022, SE = .009, p = .015) were associated with higher levels of handwashing adherence. Analyses controlled for participants' COVID-19-related situation (their exposure to information about handwashing, being a healthcare professional), sociodemographic characteristics (gender, age, marital status), and country-level variables (strictness of containment and health policies, human development index). The models explained 14-20% of the variance in handwashing adherence.
CONCLUSIONS: To better explain levels of protective behaviors such as handwashing, future research should account for indicators of the trajectory of the COVID-19 pandemic.
TRIAL REGISTRATION: Clinical Trials.Gov, # NCT04367337.
OBJECTIVE: Applying protection motivation theory (PMT), this study explored whether the number of total COVID-19 cases/deaths and general anxiety were associated with cross-situational handwashing adherence and whether these associations were mediated by PMT-specific self-regulatory cognitions (threat appraisal: perceived vulnerability, perceived illness severity; coping appraisal: self-efficacy, response efficacy, response costs).
METHOD: The study (#NCT04367337) was conducted in March-September 2020 among 1256 adults residing in 14 countries. Self-reports on baseline general anxiety levels, handwashing adherence across 12 situations, and PMT-related constructs were collected using an online survey at two points in time, four weeks apart. Values of COVID-19 cases and deaths were retrieved twice for each country (one week prior to the individual data collection).
RESULTS: Across countries and time, levels of adherence to handwashing guidelines were high. Path analysis indicated that smaller numbers of COVID-19 cases/deaths (Time 0; T0) were related to stronger self-efficacy (T1), which in turn was associated with higher handwashing adherence (T3). Lower general anxiety (T1) was related to better adherence (T3), with this effect mediated by higher response efficacy (T1, T3) and lower response cost (T3). However, higher general anxiety (T1) was related to better adherence via higher illness severity (T1, T3). General anxiety was unrelated to COVID-19 indicators.
CONCLUSIONS: We found a complex pattern of associations between the numbers of COVID-19 cases/deaths, general anxiety, PMT variables, and handwashing adherence at the early stages of the pandemic. Higher general anxiety may enable threat appraisal (perceived illness severity), but it may hinder coping appraisal (response efficacy and response costs). The indicators of the trajectory of the pandemic (i.e., the smaller number of COVID-19 cases) may be indirectly associated with higher handwashing adherence via stronger self-efficacy.
DESIGN: A prospective interventional and observational study.
METHODOLOGY: We formed a quality improvement (QI) team in our SNCU consisting of doctors, nurses, auxiliary staff and parents (a floating member) to improve proper use of AHR. To identify the barriers to the problem, we used fishbone analysis tool. The barriers which were not allowing the health providers to use AHR properly identified were amount of AHR in millilitres to be used per day per baby, how much and when the amount of AHR to be indented from the main store and what is the proper site to place the bottle. We used plan-do-study-act cycles to test and adapt solutions to these problems. Within 5-6 weeks of starting our project, AHR use increased from 44 mL to 92 mL per baby per day and this is sustained around 100 mL per baby per day for over 2 years now.
RESULTS: Significant decrease in neonatal mortality was observed (reduced from median of 41.0 between August 2016 and April 2018 to 24.0 between May 2018 and December 2019). The neonates discharged alive improved from 41.2 to 52.3 as a median percentage value. The percentage of babies who were referred out and went Left Against Medical Advice (LAMA) deceased too.
CONCLUSION: Multiple factors can lead to neonatal deaths, but the important factors are always contextual to facilities. QI methodology provides health workers with the skills to identify the major factors contributing to mortality and develop strategies to deal with them. Improving processes of care can lead to improved hand hygiene and saves lives.
METHOD: A pre-school was provided with an interactive hand hygiene application for two months. The device features an online administrator dashboard for data collection and for monitoring the children's hand washing steps and duration. A good hand washing is defined as hand washing which comprise all of the steps outlined in the World Health Organization (WHO) guidelines.
RESULTS: The prototype managed to capture 6882 hand wash performed with an average of 20.85 seconds per hand wash. Washing hands palm to palm was the most frequent (79.9%) step performed, whereas scrubbing fingernails and wrists were the least (56%) steps performed.
CONCLUSIONS: The device is a good prototype to educate, stimulate and monitor good hand hygiene practices. However, other measures should be undertaken to ensure sustainability of the practices.