Benchmark - Hospital-Associated Infections Data Medicine Essay
The purpose of this assignment is to examine health care data on hospital-associated infections and determine the best methods for presenting the data to stakeholders. Use the scenario below and the "Hospital Associated Infections Data" Excel spreadsheet to complete the assignment.
Scenario
You have been tasked with displaying Centers for Medicare and Medicaid Services (CMS) hospital quality measures data for a 5-year period on four quality measures at your site. After examining the data, identify trends and determine the best way to present the actionable information to stakeholders.
Assignment:
In 1000-1250 words, address the following in your assignment.
1. What conclusions can be drawn for each quality measure over the 5-year period?
2. What trends do you see for each quality measure over the 5-year period?
3. When comparing each quality measure, is the quality measure better than, worse than, or no different from the national benchmark over time?
4.Based on your examination of the data, which of the quality measures should you prioritize and why?
5. Develop a quality improvement metric and related measures to improve care processes, outcomes, and the patient experience relating to the identified area of opportunity.
6.Explain how you would monitor the metric and use collected data for improvement.
APA style is required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to LopesWrite.
This benchmark assignment assesses the following programmatic competency:
MSN Emphasis in Leadership in Health Care Systems
6.6 Develop and monitor continuous quality improvement metrics and measures to improve care processes, outcomes, and the patient experience.
Benchmark - Hospital-Associated Infections Data
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Benchmark - Hospital-Associated Infections Data
Introduction
Hospital-associated infections relate to an increasingly dangerous public health concern owing to its effects on the morbidity alongside mortality amongst hospitalized patients in developing countries. The aspect of effective preventive as well as control mechanisms on the occurrence alongside transmissions of hospital-associated infections largely depends on the regulatory managements as well as coordinated intervention measures. Some of these regulatory and intervention measures include targeted surveillance, coordinated infection control bundles, programs on antimicrobial stewardship, adequate training and education. For instance the application of hospital-associated infections surveillance system, for the purposes of estimation as well as the monitoring of the prevalence infections over regions and also used in the evaluation of the effect of interventions. This helps in the aspect of supporting data comparisons and at the same time use for the release of Quality Indicators (QI) applicable in benchmarking (Haque et al., 2018).
What conclusions can be drawn for each quality measure over the 5-year period?
The measure for SSI: Colon basically had a higher score than the national benchmark in 2015 (3.555 against 2.548). This shows that the infection rates due to SSI despite being one of the most common adverse occurrences amongst hospitalized patients undertaking surgical measures are working following the previously instituted advancements concerning preventive procedures. The infection is also identified as one of the significant contributors to high mortality rates as well as financial stress amongst patients. CLABSI had higher scores as compared to the national benchmark in 2011 and 2012 recording 2.845 vs 2.234 and 2.203 vs 2.089 respectively and a considerably lower score in the year 2013. This shows that the preventive measures against CLABSI seem to be working of late within the patient wards, therefore, significantly reducing the morbidity and mortality rates. The score for CAUTI was higher only in 2011 (2.814 vs 1.879) while that of SSI: Hysterectomy was high in 2014 and 2015 against the benchmark 3.697 vs 2.512 and 4.608 vs 2.703 respectively. The score for CAUTI from 2011 shows that the rate of infection drastically reduced over the years owing to high healthcare standards instituted to deal with UTIs. However, the high scores of SSI could be attributed to control on potential risk factors such as type of surgery, length of surgery, the patient’s clinical conditions as well as the potential for wound contamination (Haque et al., 2018).
What trends do you see for each quality measure over the 5-year period?
The trends in the infections resulting from CAUTI despite being identified as the top-ranking microbial infection with significant morbidity and mortality rates have significantly reduced over the years. This is clearly from the data provided since in 2011 the score was higher than the national benchmark, then in 2012, it leveled the benchmark, in 2014 and 2015 was slightly lower than the national benchmark. The cases on SSI Colon continue to increase...
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