RESUMO
BACKGROUND: The incidence rate of falls at 1.3âfalls/1000 patient-days at a tertiary hospital in 2004 was found to be high when benchmarked against other hospitals' fall rates in Singapore. This marked the starting point of a journey of reducing fall incidence by successfully combining evidence-based healthcare measures with quality-improvement strategies. AIM: The aim of this project was to implement fall-reduction strategies in the inpatient care areas in an acute care tertiary hospital. METHODS: Two action research studies commissioned for ascertaining an appropriate fall-risk assessment and effectiveness of targeted individualized interventions formed the foundation of fall-reduction strategies. Evidence-based healthcare measures were combined with quality-improvement strategies that addressed fall risks to prevent falls and mitigate injuries. The process of managing fall-related incidents was standardized as the fall rate continues to be a key nursing performance indicator. RESULTS: The overall fall trend decreased from 1.09/1000 patient-days in 2008 to 0.82/1000 patient-days in 2012. The decreasing trends were sustained in 2013 and 2014 at 0.91/100 and 0.85/1000, respectively. The fall injury rate reduced from 0.31/1000 patient-days in 2008 and was maintained at a rate of 0.20-0.24 during 2009-2012. CONCLUSION: The implementation of fall-reduction strategies reduced the fall incidence rate in this acute care setting. However, more work is required to ensure the changes made to the fall assessment, interventions, and processes are sustained and incorporated in patient care.
Assuntos
Prevenção de Acidentes , Acidentes por Quedas/prevenção & controle , Gestão da Segurança/organização & administração , Centros Médicos Acadêmicos , Acidentes por Quedas/estatística & dados numéricos , Benchmarking , Prática Clínica Baseada em Evidências , Humanos , Incidência , Avaliação em Enfermagem , Melhoria de Qualidade , Medição de Risco , Singapura/epidemiologiaRESUMO
BACKGROUND: Nutrition screening identifies patients at risk of malnutrition to facilitate early nutritional intervention, yet incompletion and error rates of 30%-90% have been reported for commonly used screening tools. The effect of a series of quality improvement initiatives in improving the referral process and the overall performance of the 3-Minute Nutrition Screening (3-MinNS) tool was assessed for patients at National University Hospital (Singapore) at risk for malnutrition. METHODS: Annual audits were carried out from 2008 through 2013 on 4,467 patients. Performance gaps were identified and addressed through interventions, including (1) implementing a nutrition screening protocol, (2) nutrition screening training, (3) nurse empowerment for online dietetics referral of at-risk cases, (4) a closed-loop feedback system, and (5) removing a component of 3-MinNS that caused the most errors without compromising its sensitivity and specificity. RESULTS: Nutrition screening error rates were 33% and 31%, with 5% and 8% blank or missing forms, in 2008 and 2009, respectively. For patients at risk of malnutrition, referral to dietetics took up to 7.5 days, with 10% not referred at all. After the interventions, nonreferrals decreased to 7% (2010), 4% (2011), and 3% (2012 and 2013), and the mean turnaround time from screening to referral was reduced significantly from 4.3 +/- 1.8 days to 0.3 +/- 0.4 days (p < .001). Error rates were reduced to 25% (2010), 15% (2011), 7% (2012), and 5% (2013), and the percentage of blank or missing forms was reduced to and remained at 1%. CONCLUSION: Quality improvement initiatives were effective in reducing the incompletion and error rates of nutrition screening and led to sustainable improvements in the referral process of patients at nutritional risk.