It Takes Teamwork: Consideration of Difficult Hospital-Acquired Conditions

2020 ◽  
pp. 309-318
Author(s):  
J. Wesley Diddle ◽  
Christine M. Riley ◽  
Darren Klugman
Keyword(s):  
Hospital Acquired Conditions ◽  
Hospital Acquired

Impact of the Centers for Medicare and Medicaid Services Hospital-Acquired Conditions Policy on Billing Rates for 2 Targeted Healthcare-Associated Infections

2015 ◽  
Vol 36 (8) ◽  
pp. 871-877 ◽  
Author(s):  
Alison Tse Kawai ◽  
Michael S. Calderwood ◽  
Robert Jin ◽  
Stephen B. Soumerai ◽  
Louise E. Vaz ◽  
...  
Keyword(s):  
New York ◽  
Odds Ratio ◽  
Times Series ◽  
Hospital Acquired Conditions ◽  
Medicare Patients ◽  
Study Population ◽  
Tract Infections ◽  
Additional Payment ◽  
Healthcare Associated ◽  
Hospital Acquired

BACKGROUNDThe 2008 Centers for Medicare & Medicaid Services hospital-acquired conditions policy limited additional payment for conditions deemed reasonably preventable.OBJECTIVETo examine whether this policy was associated with decreases in billing rates for 2 targeted conditions, vascular catheter-associated infections (VCAI) and catheter-associated urinary tract infections (CAUTI).STUDY POPULATIONAdult Medicare patients admitted to 569 acute care hospitals in California, Massachusetts, or New York and subject to the policy.DESIGNWe used an interrupted times series design to assess whether the hospital-acquired conditions policy was associated with changes in billing rates for VCAI and CAUTI.RESULTSBefore the policy, billing rates for VCAI and CAUTI were increasing (prepolicy odds ratio per quarter for VCAI, 1.17 [95% CI, 1.11–1.23]; for CAUTI, 1.19 [1.16–1.23]). The policy was associated with an immediate drop in billing rates for VCAI and CAUTI (odds ratio for change at policy implementation for VCAI, 0.75 [95% CI, 0.69–0.81]; for CAUTI, 0.87 [0.79–0.96]). In the postpolicy period, we observed a decreasing trend in the billing rate for VCAI and a leveling-off in the billing rate for CAUTI (postpolicy odds ratio per quarter for VCAI, 0.98 [95% CI, 0.97–0.99]; for CAUTI, 0.99 [0.97–1.00]).CONCLUSIONSThe Centers for Medicare & Medicaid Services hospital-acquired conditions policy appears to have been associated with immediate reductions in billing rates for VCAI and CAUTI, followed by a slight decreasing trend or leveling-off in rates. These billing rates, however, may not correlate with changes in clinically meaningful patient outcomes and may reflect changes in coding practices.Infect. Control Hosp. Epidemiol. 2015;36(8):871–877

Frailty Severity Impacts Development of Hospital-acquired Conditions in Patients Undergoing Corrective Surgery for Adult Spinal Deformity

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Katherine E. Pierce ◽  
Bhaveen H. Kapadia ◽  
Cole Bortz ◽  
Haddy Alas ◽  
Avery E. Brown ◽  
...  
Keyword(s):  
Spinal Deformity ◽  
Adult Spinal Deformity ◽  
Corrective Surgery ◽  
Hospital Acquired Conditions ◽  
Hospital Acquired

scholarly journals Impact of Medicare’s Hospital-Acquired Condition Policy on Infections in Safety Net and Non–Safety Net Hospitals

2015 ◽  
Vol 36 (6) ◽  
pp. 649-655 ◽  
Author(s):  
Louise Elaine Vaz ◽  
Kenneth P. Kleinman ◽  
Alison Tse Kawai ◽  
Robert Jin ◽  
William J. Kassler ◽  
...  
Keyword(s):  
Bloodstream Infection ◽  
Financial Incentives ◽  
Safety Net ◽  
The United States ◽  
Central Line ◽  
Unintended Consequences ◽  
Infection Rates ◽  
Healthcare Associated Infection ◽  
Hospital Acquired Conditions ◽  
Hospital Acquired

BACKGROUNDPolicymakers may wish to align healthcare payment and quality of care while minimizing unintended consequences, particularly for safety net hospitals.OBJECTIVETo determine whether the 2008 Centers for Medicare and Medicaid Services Hospital-Acquired Conditions policy had a differential impact on targeted healthcare-associated infection rates in safety net compared with non–safety net hospitals.DESIGNInterrupted time-series design.SETTING AND PARTICIPANTSNonfederal acute care hospitals that reported central line–associated bloodstream infection and ventilator-associated pneumonia rates to the Centers for Disease Control and Prevention’s National Health Safety Network from July 1, 2007, through December 31, 2013.RESULTSWe did not observe changes in the slope of targeted infection rates in the postpolicy period compared with the prepolicy period for either safety net (postpolicy vs prepolicy ratio, 0.96 [95% CI, 0.84–1.09]) or non–safety net (0.99 [0.90–1.10]) hospitals. Controlling for prepolicy secular trends, we did not detect differences in an immediate change at the time of the policy between safety net and non–safety net hospitals (P for 2-way interaction, .87).CONCLUSIONSThe Centers for Medicare and Medicaid Services Hospital-Acquired Conditions policy did not have an impact, either positive or negative, on already declining rates of central line–associated bloodstream infection in safety net or non–safety net hospitals. Continued evaluations of the broad impact of payment policies on safety net hospitals will remain important as the use of financial incentives and penalties continues to expand in the United States.Infect Control Hosp Epidemiol 2015;00(0): 1–7

scholarly journals Predictors of Hospital-Acquired Conditions Are Predominately Similar for Spine Surgery and Other Common Elective Surgical Procedures, With Some Key Exceptions

2019 ◽  
Vol 9 (7) ◽  
pp. 717-723 ◽  
Author(s):  
Samantha R. Horn ◽  
Katherine E. Pierce ◽  
Cheongeun Oh ◽  
Frank A. Segreto ◽  
Max Egers ◽  
...  
Keyword(s):  
Functional Status ◽  
Spine Surgery ◽  
Operative Time ◽  
Area Under The Curve ◽  
Bleeding Disorders ◽  
Improvement Program ◽  
Steroid Use ◽  
Hospital Acquired Conditions ◽  
History Of ◽  
Hospital Acquired

Study Design: Retrospective review of a prospectively collected database. Objective: To predict the occurrence of hospital-acquired conditions (HACs) 30-days postoperatively and to compare predictors of HACs for spine surgery with other common elective surgeries. Methods: Patients ≥18 years undergoing elective spine surgery were identified in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database from 2005 to 2013. Outcome measures included any HACs: superficial or deep surgical site infection (SSI), venous thromboembolism (VTE), urinary tract infection (UTI). Spine surgery patients were compared with those undergoing other common procedures. Random forest followed by multivariable regression analysis was used to determine risk factors for the occurrence of HACs. Results: A total of 90 551 elective spine surgery patients, of whom 3021 (3.3%) developed at least 1 HAC, 1.4% SSI, 1.3% UTI, and 0.8% VTE. The occurrence of HACs for spine patients was predicted with high accuracy (area under the curve [AUC] 77.7%) with the following variables: female sex, baseline functional status, hypertension, history of transient ischemic attack (TIA), quadriplegia, steroid use, preoperative bleeding disorders, American Society of Anesthesiologists (ASA) class, operating room duration, operative time, and level of residency supervision. Functional status and hypertension were HAC predictors for total knee arthroplasty (TKA), bariatric, and cardiothoracic patients. ASA class and operative time were predictors for most surgery cohorts. History of TIA, preoperative bleeding disorders, and steroid use were less predictive for most other common surgical cohorts. Conclusions: Occurrence of HACs after spine surgery can be predicted with demographic, clinical, and surgical factors. Predictors for HACs in surgical spine patients, also common across other surgical groups, include functional status, hypertension, and operative time. Understanding the baseline patient risks for HACs will allow surgeons to become more effective in their patient selection for surgery.

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.

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