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- Adverse Events (2)
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- (-) Surgery (12)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 12 of 12 Research Studies DisplayedLiu L, Ni Y, Zhang N
Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.
The objectives of this study were: 1) to develop predictive models of last-minute surgery cancellation, utilizing machine learning technologies, from patient-specific and contextual data from two distinct pediatric surgical sites of a single institution; and 2) to identify specific key predictors that impact children's risk of day-of-surgery cancellation. The study demonstrated the capacity of machine learning models for predicting pediatric patients at risk of last-minute surgery cancellation and providing useful insight into root causes of cancellation. The author’s approach offers the promise of targeted interventions to significantly decrease both healthcare costs and families' negative experiences.
AHRQ-funded; HS024983.
Citation: Liu L, Ni Y, Zhang N .
Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.
Int J Med Inform 2019 Sep;129:234-41. doi: 10.1016/j.ijmedinf.2019.06.007..
Keywords: Children/Adolescents, Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Surgery
Tong BC, Kim S, Kosinski A
Penetration, completeness, and representativeness of the Society of Thoracic Surgeons General Thoracic Surgery Database for lobectomy.
Not all surgeons performing lobectomy in the United States report outcomes to The Society of Thoracic Surgeons General Thoracic Surgery Database (STS GTSD). In this study, the investigators examined penetration, completeness, and representativeness of the STS GTSD for lobectomy in the Centers for Medicare and Medicaid Services (CMS) patient population. The investigators concluded that participation in the STS GTSD increased over time, but penetration lagged behind that of the other STS National Databases.
AHRQ-funded; HS022279.
Citation: Tong BC, Kim S, Kosinski A .
Penetration, completeness, and representativeness of the Society of Thoracic Surgeons General Thoracic Surgery Database for lobectomy.
Ann Thorac Surg 2019 Mar;107(3):897-902. doi: 10.1016/j.athoracsur.2018.07.059..
Keywords: Surgery, Cancer: Lung Cancer, Cancer, Data, Provider: Physician, Provider
Hsu YJ, Kosinski AS, Wallace AS
Using a society database to evaluate a patient safety collaborative: the Cardiovascular Surgical Translational Study.
The authors assessed the utility of using external databases for quality improvement (QI) evaluations in the context of an innovative QI collaborative aimed to reduce three infections and improve patient safety across the cardiac surgery service line. They compared changes in each outcome between 15 intervention hospitals and 52 propensity score-matched hospitals, and found that improvement trends in several outcomes among the studied intervention hospitals were not statistically different from those in comparison hospitals. They conclude that using external databases may permit comparative effectiveness assessment by providing concurrent comparison groups, additional outcome measures, and longer follow-up.
AHRQ-funded; HS019934.
Citation: Hsu YJ, Kosinski AS, Wallace AS .
Using a society database to evaluate a patient safety collaborative: the Cardiovascular Surgical Translational Study.
J Comp Eff Res 2019 Jan;8(1):21-32. doi: 10.2217/cer-2018-0051..
Keywords: Patient Safety, Quality Improvement, Quality Indicators (QIs), Quality of Care, Surgery, Cardiovascular Conditions, Comparative Effectiveness, Data, Hospitals, Research Methodologies, Patient-Centered Outcomes Research
Ghaferi AA, Dimick JB
Practical guide to surgical data sets: Medicare claims data.
In this article, the authors discuss pros and cons of Medicare data and explore commonly studied categories using this data (health policy evaluation, comparative effectiveness research, and outcome variations). They conclude that it is important to frame questions carefully and to use appropriate methods to ensure scientific rigor.
AHRQ-funded; HS023621; HS024403.
Citation: Ghaferi AA, Dimick JB .
Practical guide to surgical data sets: Medicare claims data.
JAMA Surg 2018 Jul;153(7):677-78. doi: 10.1001/jamasurg.2018.0489..
Keywords: Medicare, Data, Surgery, Patient-Centered Outcomes Research, Research Methodologies
Hu Z, Melton GB, Arsoniadis EG
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
Proper handling of missing data is important for many secondary uses of electronic health record (EHR) data. Data imputation methods can be used to handle missing data, but their use for postoperative complication detection is unclear. Overall, models with missing data imputation almost always outperformed reference models without imputation that included only cases with complete data for detection of SSI overall achieving very good average area under the curve values.
AHRQ-funded; HS024532.
Citation: Hu Z, Melton GB, Arsoniadis EG .
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
J Biomed Inform 2017 Apr;68:112-20. doi: 10.1016/j.jbi.2017.03.009.
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Keywords: Data, Electronic Health Records (EHRs), Healthcare-Associated Infections (HAIs), Registries, Surgery, Injuries and Wounds, Health Information Technology (HIT), Quality Improvement, Quality of Care, Adverse Events
Jafarzadeh SR, Warren DK, Nickel KB
Bayesian estimation of the accuracy of ICD-9-CM- and CPT-4-based algorithms to identify cholecystectomy procedures in administrative data without a reference standard.
The researchers sought to estimate the accuracy of two algorithms to identify cholecystectomy procedures using ICD-9-CM and CPT-4 codes in administrative data. They found that both ICD-9-CM- and CPT-4-based algorithms had high sensitivity to identify cholecystectomy procedures in administrative data when used individually and especially in a parallel-joint approach.
AHRQ-funded; HS019713.
Citation: Jafarzadeh SR, Warren DK, Nickel KB .
Bayesian estimation of the accuracy of ICD-9-CM- and CPT-4-based algorithms to identify cholecystectomy procedures in administrative data without a reference standard.
Pharmacoepidemiol Drug Saf 2016 Mar;25(3):263-8. doi: 10.1002/pds.3870.
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Keywords: Data, Surgery
Grenda TR, Krell RW, Dimick JB
Reliability of hospital cost profiles in inpatient surgery.
This study sought to discover whether Medicare payments for surgery can reliably compare hospital costs. It found that episode payments for inpatient surgery are a reliable measure of hospital costs for commonly performed procedures, but are less reliable for lower volume operations. These findings suggest that hospital cost profiles based on Medicare claims data may be used to benchmark efficiency, especially for more common procedures.
AHRQ-funded; HS000053.
Citation: Grenda TR, Krell RW, Dimick JB .
Reliability of hospital cost profiles in inpatient surgery.
Surgery 2016 Feb;159(2):375-80. doi: 10.1016/j.surg.2015.06.043..
Keywords: Inpatient Care, Surgery, Healthcare Costs, Medicare, Data
Greenberg JK, Ladner TR, Olsen MA
Complications and resource use associated with surgery for Chiari Malformation type 1 in adults: a population perspective.
This study examined the complications and resource use associated with adult CM-1 surgery using administrative data. It concluded that complications after CM-1 surgery are common, and surgical complications are more frequent than medical complications. Also, certain comorbidities and demographic characteristics are associated with increased risk for complications.
AHRQ-funded; H0S19455.
Citation: Greenberg JK, Ladner TR, Olsen MA .
Complications and resource use associated with surgery for Chiari Malformation type 1 in adults: a population perspective.
Neurosurgery 2015 Aug;77(2):261-8. doi: 10.1227/neu.0000000000000777..
Keywords: Healthcare Cost and Utilization Project (HCUP), Surgery, Outcomes, Data
Greenberg JK, Ladner TR, Olsen MA
Validation of an International Classification of Diseases, Ninth Revision Code algorithm for identifying Chiari Malformation type 1 surgery in adults.
The purpose of this study was to validate 2 ICD-9-CM code algorithms identifying patients undergoing CM-1 decompression surgery. It concluded that the ICD-9-CM code Algorithm 2 has excellent positive predictive value and good sensitivity to identify adult CM-1 decompression surgery.
AHRQ-funded; HS019455.
Citation: Greenberg JK, Ladner TR, Olsen MA .
Validation of an International Classification of Diseases, Ninth Revision Code algorithm for identifying Chiari Malformation type 1 surgery in adults.
Neurosurgery 2015 Aug;77(2):269-73. doi: 10.1227/neu.0000000000000778..
Keywords: Data, Diagnostic Safety and Quality, Surgery
Hannan EL, Qian F, Pine M
The value of adding laboratory data to coronary artery bypass grafting registry data to improve models for risk-adjusting provider mortality rates.
The purpose of this study was to determine whether the addition of laboratory data to the clinical database for coronary artery bypass graft (CABG) would identify laboratory variables that are significant independent predictors of short-term (in-hospital / 30-day) mortality. The researchers found that there was no significant difference in the discrimination of the registry model or the combined registry/laboratory model.
AHRQ-funded; HS019965.
Citation: Hannan EL, Qian F, Pine M .
The value of adding laboratory data to coronary artery bypass grafting registry data to improve models for risk-adjusting provider mortality rates.
Ann Thorac Surg 2015 Feb;99(2):495-501. doi: 10.1016/j.athoracsur.2014.08.043..
Keywords: Registries, Mortality, Risk, Surgery, Data
Warren DK, Nickel KB, Wallace AE
Can additional information be obtained from claims data to support surgical site infection diagnosis codes?
The authors sought to confirm a claims algorithm to identify surgical site infections (SSIs) by examining the presence of clinically expected SSI treatment. They found that over 94% of patients identified by their claims algorithm as having an SSI received clinically expected treatment for infection, including antibiotics, surgical treatment, and culture, suggesting that this algorithm has very good positive predictive value. They concluded that their method may facilitate retrospective SSI surveillance and comparison of SSI rates across facilities and providers.
AHRQ-funded; HS019713.
Citation: Warren DK, Nickel KB, Wallace AE .
Can additional information be obtained from claims data to support surgical site infection diagnosis codes?
Infect Control Hosp Epidemiol 2014 Oct;35 Suppl 3:S124-32. doi: 10.1086/677830.
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Keywords: Data, Healthcare-Associated Infections (HAIs), Patient Safety, Surgery, Injuries and Wounds, Adverse Events
Mark TL, Lawrence W, Coffey RM
AHRQ Author: Lawrence W, Steiner C
The value of linking hospital discharge and mortality data for comparative effectiveness research.
The purpose of this paper was to demonstrate the value of linking state community hospital discharge data to vital statistics death files for research by conducting a comparative effectiveness analysis. The analysis revealed that in the matched cohort, in-hospital and 30-day postdischarge mortality rates were significantly lower following endovascular aneurysm repair than open aneurysm repair, but differences in the 1- and 5-year rates were not statistically significant.
AHRQ-authored.
Citation: Mark TL, Lawrence W, Coffey RM .
The value of linking hospital discharge and mortality data for comparative effectiveness research.
J Comp Eff Res 2013 Mar;2(2):175-84. doi: 10.2217/cer.13.4.
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Keywords: Comparative Effectiveness, Data, Healthcare Cost and Utilization Project (HCUP), Mortality, Surgery