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Enhancing NSQIP-Pediatric through integration with the Pediatric Health Information System
Katherine J Deans1, Jennifer N Cooper2, Shawn J Rangel3
1Center for Surgical Outcomes Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA; Department of Surgery, Nationwide Children's Hospital, Columbus, OH, USA.
Insights
Linking the National Surgical Quality Improvement Program-Pediatric (NSQIP-Peds) and Pediatric Health Information System (PHIS) datasets revealed high rates of post-operative emergency department visits and readmissions. This comprehensive dataset aids in studying pediatric healthcare utilization and outcomes.
Area of Science:
- Pediatric Surgery
- Health Services Research
- Data Linkage
Background:
- The National Surgical Quality Improvement Program-Pediatric (NSQIP-Peds) and Pediatric Health Information System (PHIS) are crucial for assessing pediatric surgical care.
- Investigating healthcare utilization in the first post-operative year requires comprehensive data linkage.
- Linking disparate datasets can offer a more complete picture of patient outcomes.
Purpose of the Study:
- To implement and validate a linkage algorithm between NSQIP-Peds and PHIS datasets.
- To investigate healthcare utilization, including emergency department (ED) visits and hospital readmissions, within the first post-operative year.
- To assess the rates of potentially preventable readmissions (PPR) and associated hospital charges.
Main Methods:
- Cases from NSQIP-Peds and PHIS at a single institution between January 2010 and September 2011 were linked.
- Matching criteria included gender and dates of birth, admission, and discharge.
- True match rates were validated using medical records; subsequent analysis examined ED visits, readmissions, PPR, and charges.
Main Results:
- A high linkage rate of 93.6% was achieved, with 92.5% confirmed as true matches.
- Post-operative ED visit rates were 7.8% (0-30 days), 17.2% (31-180 days), and 18.1% (181-365 days).
- Readmission rates were 5.5% (0-30 days), 9.3% (31-180 days), and 8.4% (181-365 days), with 23.7% of inpatient procedure readmissions being potentially preventable within a year.
Conclusions:
- A linked NSQIP-Peds-PHIS dataset, using indirect identifiers, effectively captures high rates of post-operative ED visits and readmissions.
- This linked dataset provides a robust tool for comprehensive study of healthcare utilization and clinical outcomes in pediatric surgical patients.
- The findings highlight significant healthcare needs in the first post-operative year, emphasizing the importance of post-discharge monitoring and care coordination.
Purpose:
We implemented and validated a linkage algorithm for cases in both the National Surgical Quality Improvement Program-Pediatric (NSQIP-Peds) and the Pediatric Health Information System (PHIS) to investigate healthcare utilization during the first post-operative year.
Methods:
NSQIP-Peds and PHIS cases from our institution who were operated on between January 2010 and September 2011 were matched on gender and dates of birth, admission, and discharge. Rates of true matches were validated using medical records. We examined rates of emergency department (ED) visits, hospital readmissions, potentially preventable readmissions (PPR), and hospital charges within one year of the NSQIP-Peds encounter.
Results:
Of the 2,409 NSQIP-Peds and 61,147 PHIS records, 93.6% met match criteria with 92.5% being true matches. Post-operative ED visit rates were 7.8% within 30days, 17.2% between 31-180days, and 18.1% between 181-365days. Readmission rates were 5.5% within 30days, 9.3% between 31-180days, and 8.4% between 181-365days. In patients undergoing inpatient procedures, 10.6% had readmissions within 30days, and 23.7% had readmissions within 365days that were potentially preventable.
Conclusions:
Using indirect identifiers, a linked NSQIP-Peds-PHIS dataset demonstrated high rates of ED visits, readmissions, and PPR in the first post-operative year. This dataset may provide a more comprehensive way to study health care utilization and clinical outcomes.
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