Determining Obstetric Patient Safety Indicators

2015 ◽  
Vol 35 (1) ◽  
pp. 24
Author(s):  
A. Pyykönen ◽  
M. Gissler ◽  
M. Jakobsson ◽  
J. Petäjä ◽  
A.M. Tapper
Keyword(s):  
Patient Safety ◽  
Patient Safety Indicators ◽  
Obstetric Patient

The impact of craniotomy for brain tumor case volume on patient safety indicators and in-hospital mortality

2020 ◽  
Vol 196 ◽  
pp. 106043
Author(s):  
Paul R. Clark ◽  
Robert J. Dambrino ◽  
Sean M. Himel ◽  
Zachary S. Smalley ◽  
Wondwosen K. Yimer ◽  
...  
Keyword(s):  
Patient Safety ◽  
Brain Tumor ◽  
Hospital Mortality ◽  
Case Volume ◽  
Patient Safety Indicators ◽  
The Impact

Incidence and Association of Patient Safety Indicator 9 (Perioperative hemorrhage or hematoma) and clinical outcomes in Cardio-thoracic surgery hospital, Ain Shams University, Egypt

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Mahi M Al-Tehewy ◽  
Sara E. M Abd AlRazak ◽  
Maha M Wahdan ◽  
Tamer S. F Hikal
Keyword(s):  
Patient Safety ◽  
Incidence Rate ◽  
Clinical Outcomes ◽  
Improve Patient Safety ◽  
Cardiothoracic Surgery ◽  
Patient Safety Indicators ◽  
Risk Of Death ◽  
Safety Indicator ◽  
Perioperative Hemorrhage

Abstract Background Patient Safety Indicators (PSIs) were developed as a tool for hospitals to identify potentially preventable complications and improve patient safety performance. Aim the study aimed to measure the association between the AHRQ patient safety indicator PSI9 (Perioperative hemorrhage or hematoma) and the clinical outcome including death, readmission within 30 days and length of stay at the cardiothoracic surgery hospital Ain Shams University. Methods exploratory prospective cohort study was conducted to follow up patients from admission till 1 month after discharge at the cardiothoracic surgery hospital who fulfills the inclusion criteria. Data were collected for 330 patients through basic information sheet and follow-up sheet. Results the incidence rate of PSI9 was 49.54 per 1000 discharges. Demographic data was not significantly associated with increased incidence of PSI9. The risk of development of PSI9 was significantly higher in patients admitted directly to ICU [relative risk (RR) =5.6]. The risk of death and readmission was higher in cases developed PSI9 than the cases without PSI9 [RR = 2.40 (0.60-9.55) and 2.43 (0.636 - 9.48) respectively]. Conclusion high incidence rate of PSI9 and the incidence is higher in male gender and 60 years old and more patients. Those patients developed PSI9 were at high risk for readmission and death. Recommendations the hospital administration should consider strategies and policies to decrease the rate of PSI9 and subsequent unfavorable clinical outcomes.

Comparing the coding of complications in Queensland and Victorian admitted patient data

2011 ◽  
Vol 35 (3) ◽  
pp. 245 ◽  
Author(s):  
Jude L. Michel ◽  
Diana Cheng ◽  
Terri J. Jackson
Keyword(s):  
Patient Safety ◽  
Data Quality ◽  
Secondary Analysis ◽  
Routine Data ◽  
Complication Rates ◽  
Hospital Data ◽  
Patient Safety Indicators ◽  
Hospital Acquired Conditions ◽  
Hospital Acquired

Objective. To examine differences between Queensland and Victorian coding of hospital-acquired conditions and suggest ways to improve the usefulness of these data in the monitoring of patient safety events. Design. Secondary analysis of admitted patient episode data collected in Queensland and Victoria. Methods. Comparison of depth of coding, and patterns in the coding of ten commonly coded complications of five elective procedures. Results. Comparison of the mean complication codes assigned per episode revealed Victoria assigns more valid codes than Queensland for all procedures, with the difference between the states being significantly different in all cases. The proportion of the codes flagged as complications was consistently lower for Queensland when comparing 10 common complications for each of the five selected elective procedures. The estimated complication rates for the five procedures showed Victoria to have an apparently higher complication rate than Queensland for 35 of the 50 complications examined. Conclusion. Our findings demonstrate that the coding of complications is more comprehensive in Victoria than in Queensland. It is known that inconsistencies exist between states in routine hospital data quality. Comparative use of patient safety indicators should be viewed with caution until standards are improved across Australia. More exploration of data quality issues is needed to identify areas for improvement. What is known about the topic? Routine data are low cost, accessible and timely but the quality is often questioned. This deters researchers and clinicians from using the data to monitor aspects of quality improvement. Previous studies have reported on the quality of diagnosis coding in Australia but not specifically on the quality of use of the condition-onset flag denoting hospital-acquired conditions. What does this paper add? Few studies have tested the consistency of the data between Australian states. No previous studies have evaluated the comprehensiveness of the coding of hospital-acquired conditions using routine data. This paper compares two states to highlight the differences in the coding of complications, with the aim of improving routine data to support patient safety. What are the implications for practitioners? The results imply more work needs to be done to improve the coding and flagging of complications so the data are valid and comprehensive. Further research should identify problem areas responsible for differences in the data so that training and audit strategies can be developed to improve the collection of this information. Practitioners may then be more confident in using routine coded inpatient data as part of the process of monitoring patient safety.

Faculty Clinical Quality Goals Drive Improvement in University HealthSystem Consortium Outcome Measures

2012 ◽  
Vol 78 (7) ◽  
pp. 749-754 ◽  
Author(s):  
Kevin E. Behrns ◽  
Darwin Ang ◽  
Huazi Liu ◽  
Steven J. Hughes ◽  
Holly Creel ◽  
...  
Keyword(s):  
Patient Safety ◽  
Improve Patient Safety ◽  
Clinical Score ◽  
Outcome Data ◽  
Faculty Members ◽  
Clinical Quality ◽  
Patient Safety Indicators ◽  
Before And After ◽  
The University ◽  
Hospital Acquired

Mortality, length of stay (LOS), patient safety indicators (PSIs), and hospital-acquired conditions (HACs) are routinely reported by the University HealthSystem Consortium (UHC) to measure quality at academic health centers. We hypothesized that a clinical quality measurable goal assigned to individual faculty members would decrease UHC measures of mortality, LOS, PSIs, and HACs. For academic year (AY) 2010–2011, faculty members received a clinical quality goal related to mortality, LOS, PSIs, and HACs. The quality metric constituted 25 per cent of each faculty member's annual evaluation clinical score, which is tied to compensation. The outcomes were compared before and after goal assignment. Outcome data on 6212 patients from AY 2009–2010 were compared with 6094 patients from AY 2010–2011. The mortality index (0.89 vs 0.93; P = 0.73) was not markedly different. However, the LOS index decreased from 1.01 to 0.97 ( P = 0.011), and department-wide PSIs decreased significantly from 285 to 162 ( P = 0.011). Likewise, HACs decreased from 54 to 18 ( P = 0.0013). Seven (17.9%) of 39 faculty had quality grades that were average or below. Quality goals assigned to individual faculty members are associated with decreased average LOS index, PSIs, and HACs. Focused, relevant quality assignments that are tied to compensation improve patient safety and outcomes.

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