NUR 630 Benchmark – Hospital-Associated Infections Data
NUR 630 Benchmark – Hospital-Associated Infections Data
Introduction
qHAIs are complications in healthcare connected to high mortality and morbidity.
qAbout 1 out 25 patients in US are diagnosed with at least one infection related to hospital care.
qIncrease of these infections is definition of poor health care.
qWHO contend that the infections has risen from 3.5-12% in the recent past.
qThis presentation majors on four common HAIs.
Health-care associated infections include central line-associated bloodstream infections, catheter-associated urinary tract infections, and ventilator-associated pneumonia. The infections might also take place at the surgery sites called the surgical site infections. The increase of these infections defines a poor health outcome that hospitals need to attend to. Undeniably. World Health Organization reveals that the prevalence of HCAIs has jumped from 3.5% to 12% (Zepeda et al., 2021). The prevalence is even high among the poor countrie
NUR 630 Benchmark Hospital Associated Infections Data
s. Healthcare-associated infections (HAIs) are complications of healthcare and linked with high morbidity and mortality. Each year, about 1 in 25 U.S. hospital patients is diagnosed with at least one infection related to hospital care alone; additional infections occur in other healthcare settings.
Healthcare Associated Infections (HCAIs)
qIn this presentation, attention will be based on:
ØSurgical site infection from colon surgery (SSI: Colon
ØCentral line-associated blood stream infections (CLABSI)
ØCatheter-Associated Urinary Tract Infections (CAUTI)
ØSurgical Site Infection from abdominal hysterectomy (SSI: Hysterectomy)
qThese are data presented by a health hospital.
Healthcare-acquired infection is prevalent in many healthcare institutions across the world. The clinical and surgical procedures are linked to the increased cases of HCIs because of the increased rate of infection that accompany these surgeries (Zepeda et al., 2021). The four common types of infection are Surgical Site Infection from colon surgery (SSI: Colon), Central line-associated blood stream infections (CLABSI), Catheter-Associated Urinary Tract Infections (CAUTI), Surgical Site Infection from abdominal hysterectomy (SSI: Hysterectomy). Surgical Site Infection from colon surgery is a type infection is among the most common types of surgical site infections. Central line-associated blood stream infections are preventable with proper management strategies, surveillance and aseptic techniques, they remain common. The Catheter-Associated Urinary Tract Infections which result when bacteria enter the bladder during a catheter use while Surgical Site Infection from abdominal hysterectomy is another type of common HCAI.
Managing Infections
qManaging infections reduces cost of health care
qIt also improved quality of life
qEffective disease management reduces complications on patients illness
qCoordinated interventions and health care efforts can be implemented in self-care options.
Disease management is the concept of reducing health care costs and improving quality of life for individuals with chronic conditions
NUR 630 Benchmark – Hospital-Associated Infections Data
by preventing or minimizing the effects of the disease through integrated care (Zepeda et al., 2021). Disease management programs are designed to improve the health of persons with chronic conditions and reduce associated costs from avoidable complications by identifying and treating chronic conditions more quickly and more effectively, thus slowing the progression of those diseases. It is a system of coordinated heath care interventions and communications for defined patient populations with conditions where self-care efforts can be implemented. People with chronic conditions usually use more health care services which often are not coordinated among providers, creating opportunities for overuse or underuse of medical care.
Importance of Monitoring
qMonitoring patient data is important in the following ways:
qHelps doctors in prioritizing patients
qAssists in effective utilization of hospital resources
qHeightens care improvement process.
qEffective in monitoring patients with chronic infections
Patient data monitoring is an effective management system of infections. Data drives decision making process in healthcare especially in cases where there is an increased rate of infection among patients in healthcare. Surveillance entails the collection, analysis and interpretation of patient data for various purposes. In HCAIs, surveillance and monitoring of the infection incidence rates (Noor et al., 2021). In monitoring data, early warning as well as infection problem investigation is possible. In monitoring of patient data, the stakeholders can prioritize the allocation of resources and evaluating the impact of specific interventions tailored towards solving a particular health problem. In addition, among the main reason for patient data monitoring is to gain information on the overall patient care quality.
Analysis of Quality Measures
qThe data from the facility shows evident trends on each quality measures observed.
qSSI: Colon showed an increasing trend.
qCLABSI also showed a general inclining trend.
qCAUTI showed a decreasing trend
qSSI: hysterectomy has a general increasing trend.
The data on ABC health hospital, relays more information on a particular trend that each quality measure was showing through the years. The national benchmark is important in the comparison of the quality measures and prioritizing which measures is more significant compared to the other. Besides, its shows whether ABC hospital is complying with the national requirements or not. SSI: Colon was the first measure with values above the national benchmark for two last years, 2014 and 2015 (Noor et al., 2021). In the years 2013, SSI: Colon had a score of 2.219 which equalled national benchmark. In 2011 and 2012, SSI: Colon score was below the national benchmark with a 0.273 and 0.174 against 2.234 and 2.136 respectively. CLABSI scores were generally above or equal to the national benchmark within the five years. However, there was a change in 2013 where the score was 3.062 against the national benchmark of 3.128. CAUTI scores were generally below the national benchmark with the first year showing a slight deviation a score higher than the national benchmark. The last measure, SSI: Hysterectomy has a general trend increasingly higher than the national benchmark.
Prioritizing Quality Measure
qThe four quality measures defined by the data have varying trends .
qFor example;
vCAUTI shows a declining trend that defines increased quality.
vSSI: hysterectomy has a poor trend which raises alarm.
v CLABSI, SSI: Colon and SSI: hysterectomy has a value higher than the benchmark score.
The quality measures are compared to the benchmark scores. The national benchmark scores always come from performing States. In some cases, a lower score could be interpreted as positive while in other cases a lower score could be interpreted as a negative score. Scores like the mortality and infection rates need to have a lower score as a positive outcome. On the other hand, higher values are needed for measures such as vaccination rates (Noor et al., 2021). In this case, lower scores will be required for the four measures. In this data, the only measure that has a direct interpretation is the CAUTI. The remaining three measures have scores above the national benchmark and an inclining trend.
Quality Improvement Metrics: Care Process
qHAIs are a threat to human safety and there is need undertake effective care process.
qCare process should include;
qPublic health surveillance
qAntibiotic stewardship
qHand Hygiene
qScreening and regrouping patients
Healthcare-associated infections (HAI) are a threat to patient safety. CDC provides national leadership in surveillance, outbreak investigations, laboratory research, and prevention of healthcare-associated infections. CDC uses knowledge gained through these activities to detect infections and develop new strategies to prevent healthcare-associated infections. Care process for SSI: Colon and CLABSI needs quality improvement metrics. This process has a direct impact on measured outcomes by ensuring that the changes implemented are significant in achieving a positive patient outcome. For instance, the caring for surgical site infections implies that the resulting would need effective care that would lower the rate of infections. The other quality metric for improving the care process in enhancing self-hygiene after the surgery.
Quality Improvement Metrics: Outcomes
qAccording to the health data, there are measures that needs to be developed to achieved the desires quality outcome. For example;
qSurgical site infection score should be show progressive reduction that reveal a declining trend.
qThe CLABSI should be below the national benchmark.
qThe SSIs should as well be below the national benchmark
The outcomes of SSIs and CLABSI need to be improved such that they show scores below national benchmark. Outcome measures ae meant to show that the measures taken to solve a particular clinical issue is showing positive sign on the improvement. It therefore articulates the picture of success. From the data analysis, it was evident that the surgical site infection and CLABSI has scores which are higher above the national benchmark, revealing that the ABC health hospital is performing poorly when it comes to these measures (Noor et al., 2021). For instance, ensuring that surgical site infections score is 95% and above, this will ensure that that rates are well within the acceptable ranges.