METHODS: We implemented a strategy involving a 9-element bundle, education, surveillance of CAUTI rates and clinical outcomes, monitoring compliance with bundle components, feedback of CAUTI rates and performance feedback. This was executed in 299 ICUs across 32 low- and middle-income countries. The dependent variable was CAUTI per 1,000 UC days, assessed at baseline and throughout the intervention, in the second month, third month, 4 to 15 months, 16 to 27 months, and 28 to 39 months. Comparisons were made using a 2-sample t test, and the exposure-outcome relationship was explored using a generalized linear mixed model with a Poisson distribution.
RESULTS: Over the course of 978,364 patient days, 150,258 patients utilized 652,053 UC-days. The rates of CAUTI per 1,000 UC days were measured. The rates decreased from 14.89 during the baseline period to 5.51 in the second month (risk ratio [RR] = 0.37; 95% confidence interval [CI] = 0.34-0.39; P
METHOD: Post-basic students (staff nurses and medical assistants) were given real life pictures showing the wound and periwound area. The students were asked to classify all pictures according to the HPSC at zero months (before attachment) and after two months of attachment. The images were the same but the answers were never given or discussed after the first test.
RESULTS: A total of 30 post-basic students participated in the study, assessing wound 30 images. The results showed that there was an increase of 25.42% in accuracy of wound assessment using the HSPC after two months of clinical attachment compared to pre-attachment. The reliability of the HPSC in wound assessment 79.87%.
CONCLUSION: Health professionals have to be able to assess and classify wounds accurately to be able to manage them accordingly. Assessment and classifications of the periwound skin are important and need to be validated and integrated as a part of a full wound assessment. With experience and adequate training, health professionals are able to comprehensively assess wounds using the validated tool, to enable effective wound management and treatment, accelerating wound healing and improving the quality of life for patients.
METHODS: This cross-sectional study aimed to determine factors associated with self-reported HH performance among nurses at Kelantan tertiary care hospitals. A sample of 438 registered nurses was selected through a stratified random sampling method. Self-reported HH performance was assessed using a validated WHO self-administered HH knowledge and perception questionnaire for healthcare workers.
RESULTS: A multiple linear regression analysis was performed to identify the predictors. The factors that significantly predicted self-reported HH performance among nurses included perception score (beta coefficient (β) = 0.260; 95% CI: 0.200, 0.417; p < 0.001), pediatric department (β = -0.104; 95% CI: -9.335, -2.467; p < 0.001), and orthopedic department (β = -5.957; 95% CI: -9.539, -0.720; p < 0.023), adjusted R2 = 0.102; p < 0.001. Nurses with a strong perception and belief in HH were more likely to have better HH performance. Compared to pediatric and orthopedic, surgical departments were associated with better self-reported HH performance.
CONCLUSIONS: This study showed the importance of factors that could improve the intervention's performance in HH strategy. Lack of perception and HH program intervention in departments engaged in patient care could lead to poor HH practices, thus increasing HCAIs and antimicrobial resistance (AMR).
METHODS: A systematic review and meta-analysis of interventional studies assessing quality improvement processes, interventions, and structure in developing country surgical systems was conducted according to the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were included if they were conducted in an LMIC, occurred in a surgical setting, and measured the effect of an implementation and its impact. The primary outcome was mortality, and secondary outcomes were rates of rates of hospital-acquired infection (HAI) and surgical site infections (SSI). Prospero Registration: CRD42020171542.
RESULT: Of 38,273 search results, 31 studies were included in a qualitative synthesis, and 28 articles were included in a meta-analysis. Implementation of multimodal bundled interventions reduced the incidence of HAI by a relative risk (RR) of 0.39 (95%CI 0.26 to 0.59), the effect of hand hygiene interventions on HAIs showed a non-significant effect of RR of 0.69 (0.46-1.05). The WHO Safe Surgery Checklist reduced mortality by RR 0.68 (0.49 to 0.95) and SSI by RR 0.50 (0.33 to 0.63) and antimicrobial stewardship interventions reduced SSI by RR 0.67 (0.48-0.93).
CONCLUSION: There is evidence that a number of quality improvement processes, interventions and structural changes can improve mortality, HAI and SSI outcomes in the peri-operative setting in LMICs.
RESULTS: Sea surface temperatures (SSTs) in the equatorial east Pacific ocean have anomalously increased significantly during July - October 2006 indicating the typical development of El Niño conditions. The persistence of these conditions will lead to extremes in global-scale climate anomalies as has been observed during similar conditions in the past. Positive Outgoing Longwave Radiation (OLR) anomalies, indicative of severe drought conditions, have been observed across all of Indonesia, Malaysia and most of the Philippines, which are usually the first areas to experience ENSO-related impacts. This dryness can be expected to continue, on average, for the remainder of 2006 continuing into the early part of 2007. During the period November 2006 - January 2007 climate forecasts indicate that there is a high probability for above normal rainfall in the central and eastern equatorial Pacific Islands, the Korean Peninsula, the U.S. Gulf Coast and Florida, northern South America and equatorial east Africa. Taking into consideration current observations and climate forecast information, indications are that the following regions are at increased risk for disease outbreaks: Indonesia, Malaysia, Thailand and most of the southeast Asia Islands for increased dengue fever transmission and increased respiratory illness; Coastal Peru, Ecuador, Venezuela, and Colombia for increased risk of malaria; Bangladesh and coastal India for elevated risk of cholera; East Africa for increased risk of a Rift Valley fever outbreak and elevated malaria; southwest USA for increased risk for hantavirus pulmonary syndrome and plague; southern California for increased West Nile virus transmission; and northeast Brazil for increased dengue fever and respiratory illness.
CONCLUSION: The current development of El Niño conditions has significant implications for global public health. Extremes in climate events with above normal rainfall and flooding in some regions and extended drought periods in other regions will occur. Forecasting disease is critical for timely and efficient planning of operational control programs. In this paper we describe developing global climate anomalies that suggest potential disease risks that will give decision makers additional tools to make rational judgments concerning implementation of disease prevention and mitigation strategies.