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Search All Research Studies
Topics
- (-) Adverse Events (14)
- Blood Clots (1)
- Cancer: Prostate Cancer (1)
- Diagnostic Safety and Quality (1)
- Education: Continuing Medical Education (1)
- Elderly (1)
- Electronic Health Records (EHRs) (1)
- Healthcare-Associated Infections (HAIs) (1)
- Healthcare Cost and Utilization Project (HCUP) (2)
- Health Information Technology (HIT) (1)
- Hospitalization (1)
- Hospital Readmissions (2)
- Hospitals (5)
- Injuries and Wounds (1)
- Medical Errors (1)
- Medicare (1)
- Orthopedics (1)
- Patient-Centered Outcomes Research (1)
- Patient Experience (1)
- Patient Safety (10)
- Prevention (1)
- Provider (1)
- Provider Performance (1)
- Quality Improvement (1)
- (-) Quality Indicators (QIs) (14)
- Quality Measures (3)
- Quality of Care (7)
- Quality of Life (1)
- Risk (2)
- Surgery (5)
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 14 of 14 Research Studies DisplayedZrelak PA, Utter GH, McDonald KM
Incorporating harms into the weighting of the revised Agency for Healthcare Research and Quality Patient Safety for Selected Indicators Composite (Patient Safety Indicator 90).
The purpose of this study was to reweight AHRQ’s Patient Safety for Selected Indicators Composite (Patient Safety Indicator 90) from weights based solely on the frequency of component Patient Safety Indicators (PSIs) to those that incorporate excess harm reflecting patients' preferences for outcome-related health states. Findings showed that including harms in the weighting scheme changed individual component weights from the original frequency-based weighting. In the reweighted composite, PSIs 11, 13, and 12 contributed the greatest harm. The investigators concluded that reformulation of PSI 90 with harm-based weights is feasible and results in satisfactory reliability and discrimination.
AHRQ-authored; AHRQ-funded; 290201200003I.
Citation: Zrelak PA, Utter GH, McDonald KM .
Incorporating harms into the weighting of the revised Agency for Healthcare Research and Quality Patient Safety for Selected Indicators Composite (Patient Safety Indicator 90).
Health Serv Res 2022 Jun;57(3):654-67. doi: 10.1111/1475-6773.13918..
Keywords: Healthcare Cost and Utilization Project (HCUP), Patient Safety, Quality Indicators (QIs), Quality Measures, Quality of Care, Adverse Events, Medicare
Anderson JE, Utter GH, Romano PS
Surgeon-reported complications vs AHRQ patient safety indicators: a comparison of two approaches to identifying adverse events.
This retrospective observational study compared 2 approaches for identifying adverse medical events: surgeon-reported complications vs AHRQ patient safety indicators (PSI). The study analyzed the degree to which these 2 processes captured PSI-defined events and reasons for exclusion by each process.
AHRQ-funded; article doesn't include grant number
Citation: Anderson JE, Utter GH, Romano PS .
Surgeon-reported complications vs AHRQ patient safety indicators: a comparison of two approaches to identifying adverse events.
J Am Coll Surg 2018 Sep;227(3):313-20. doi: 10.1016/j.jamcollsurg.2018.06.008..
Keywords: Adverse Events, Patient Safety, Quality Indicators (QIs), Surgery
Bhise V, Sittig DF, Vaghani V
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
Researchers refined the methods of the Institute of Healthcare Improvement's Global Trigger Tool application and leveraged electronic health record data to improve detection of preventable adverse events, including diagnostic errors. In the studied sample, preventable adverse events were identified, including adverse drug events, patient falls, procedure-related complications, and hospital-associated infections. The authors concluded that such e-triggers can help overcome limitations of currently available methods to detect preventable harm in hospitalized patients.
AHRQ-funded; HS022087; HS023602.
Citation: Bhise V, Sittig DF, Vaghani V .
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
BMJ Qual Saf 2018 Mar;27(3):241-46. doi: 10.1136/bmjqs-2017-006975..
Keywords: Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitalization, Hospitals, Patient Safety, Prevention, Quality of Care, Quality Improvement, Quality Indicators (QIs)
Goldberg EM, Morphis B, Youssef R
An analysis of diagnoses that drive readmission: what can we learn from the hospitals in Southern New England with the highest and lowest readmission performance?
This study examined the most common diagnoses driving readmissions among fee-for-service Medicare beneficiaries in the hospitals with the highest and lowest readmission performance in Southern New England from 2014 to 2016. It found that the lowest-performing hospitals readmitted higher percentages of patients for sepsis and complications of device, implant, or graft, compared to highest-performing hospitals.
AHRQ-funded; HS000011.
Citation: Goldberg EM, Morphis B, Youssef R .
An analysis of diagnoses that drive readmission: what can we learn from the hospitals in Southern New England with the highest and lowest readmission performance?
R I Med J 2017 Aug;100(8):23-28.
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Keywords: Adverse Events, Diagnostic Safety and Quality, Hospital Readmissions, Hospitals, Quality Indicators (QIs)
Calderwood MS, Kleinman K, Huang SS
Surgical site infections: volume-outcome relationship and year-to-year stability of performance rankings.
The researchers evaluated the volume-outcome relationship as well as the year-to-year stability of performance rankings following coronary artery bypass graft (CABG) surgery and hip arthroplasty. They concluded that aggregate surgical site infection risk is highest in hospitals with low annual procedure volumes. Even for higher volume hospitals, year-to-year random variation makes past experience an unreliable estimator of current performance.
AHRQ-funded; HS021424.
Citation: Calderwood MS, Kleinman K, Huang SS .
Surgical site infections: volume-outcome relationship and year-to-year stability of performance rankings.
Med Care 2017 Jan;55(1):79-85. doi: 10.1097/mlr.0000000000000620.
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Keywords: Surgery, Healthcare-Associated Infections (HAIs), Adverse Events, Injuries and Wounds, Hospitals, Provider Performance, Quality Indicators (QIs), Quality of Care, Patient Safety, Elderly
Tedesco D, Hernandez-Boussard T, Carretta E
Evaluating patient safety indicators in orthopedic surgery between Italy and the USA.
The authors compared patient safety in major orthopedic procedures between an orthopedic hospital in Italy and 26 Florida hospitals of similar size. AHRQ Patient Safety Indicators (PSIs) were used to identify inpatient adverse events (AEs). They found that US patients had lower adjusted odds of developing a PSI compared to Italy for pressure ulcers, hemorrhage or hematoma, and physiologic and metabolic derangement. while Italian patients had lower odds of pulmonary embolism/deep vein thrombosis compared to US patients.
AHRQ-funded; HS018558.
Citation: Tedesco D, Hernandez-Boussard T, Carretta E .
Evaluating patient safety indicators in orthopedic surgery between Italy and the USA.
Int J Qual Health Care 2016 Sep;28(4):486-91. doi: 10.1093/intqhc/mzw053.
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Keywords: Adverse Events, Orthopedics, Patient Safety, Quality Indicators (QIs), Surgery
Hernandez-Boussard TM, McDonald KM, Morrison DE
Risks of adverse events in colorectal patients: population-based study.
The authors sought to assess adverse events in colorectal surgical patients. They found important differential rates of adverse events by diagnostic category, with the highest odds ratio occurring in patients undergoing surgery for ischemic colitis.
AHRQ-funded; HS018558.
Citation: Hernandez-Boussard TM, McDonald KM, Morrison DE .
Risks of adverse events in colorectal patients: population-based study.
J Surg Res 2016 May 15;202(2):328-34. doi: 10.1016/j.jss.2016.01.013.
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Keywords: Healthcare Cost and Utilization Project (HCUP), Adverse Events, Surgery, Patient Safety, Risk, Quality Indicators (QIs), Quality of Care, Quality Measures
Southern DA, Pincus HA, Romano PS
Enhanced capture of healthcare-related harms and injuries in the 11th revision of the International Classification of Diseases (ICD-11).
The authors presented recommendations made to the World Health Organization (WHO) by the ICD revision's Quality and Safety Topic Advisory Group (Q&S TAG) for a new conceptual approach to capturing healthcare-related harms and injuries in ICD-coded data. They concluded that this new framework for coding healthcare-related harm has great potential to improve the clinical detail of adverse event descriptions and the overall quality of coded health data.
AHRQ-funded; HS020543.
Citation: Southern DA, Pincus HA, Romano PS .
Enhanced capture of healthcare-related harms and injuries in the 11th revision of the International Classification of Diseases (ICD-11).
Int J Qual Health Care 2016 Feb;28(1):136-42. doi: 10.1093/intqhc/mzv099.
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Keywords: Adverse Events, Quality of Care, Patient Safety, Quality Indicators (QIs)
Rajaram R, Ju MH, Bilimoria KY
National evaluation of hospital readmission after pulmonary resection.
The study’s objectives were to (1) assess readmission rates and timing after pulmonary resection, (2) report the most common reasons for rehospitalization, and (3) identify risk factors for unplanned readmission after pulmonary resection. It found that experiencing a postoperative complication was strongly associated with unplanned readmission.
AHRQ-funded; HS000078.
Citation: Rajaram R, Ju MH, Bilimoria KY .
National evaluation of hospital readmission after pulmonary resection.
J Thorac Cardiovasc Surg 2015 Dec;150(6):1508-14.e2. doi: 10.1016/j.jtcvs.2015.05.047..
Keywords: Hospital Readmissions, Risk, Surgery, Quality Indicators (QIs), Adverse Events
Morgans AK, van Bommel AC, Stowell C
Development of a standardized set of patient-centered outcomes for advanced prostate cancer: an international effort for a unified approach.
The International Consortium for Health Outcomes Measurement assembled a multidisciplinary working group to develop a standard set of outcomes relevant to men with advanced prostate cancer to follow during routine clinical care. The international multidisciplinary group identified clinical data and patient-reported outcome measures that serve as a basis for international health outcome comparisons and quality-of-care assessments. The set will be revised annually.
AHRQ-funded; HS022990.
Citation: Morgans AK, van Bommel AC, Stowell C .
Development of a standardized set of patient-centered outcomes for advanced prostate cancer: an international effort for a unified approach.
Eur Urol 2015 Nov;68(5):891-8. doi: 10.1016/j.eururo.2015.06.007.
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Keywords: Cancer: Prostate Cancer, Patient-Centered Outcomes Research, Quality of Life, Adverse Events, Quality Indicators (QIs)
Chung JW, Ju MH, Kinnier CV
Postoperative venous thromboembolism outcomes measure: analytic exploration of potential misclassification of hospital quality due to surveillance bias.
The authors discuss problems associated with AHRQ’s Patient Safety Indicator (PS112), Postoperative Venous Thromboembolism such as identifying truly poor-quality hospitals from those that only seem to be poor-quality because of hospital-to-hospital variations in imaging rates for venous thromboembolism (VTE). They call for the development of administrative codes that enable reliable identification and exclusion of sub-clinical VTE from the measure numerator.
AHRQ-funded; HS021857
Citation: Chung JW, Ju MH, Kinnier CV .
Postoperative venous thromboembolism outcomes measure: analytic exploration of potential misclassification of hospital quality due to surveillance bias.
Ann Surg. 2015 Mar;261(3):443-4. doi: 10.1097/sla.0000000000000850..
Keywords: Quality Indicators (QIs), Blood Clots, Quality of Care, Adverse Events
Shelton J, Kummerow K, Phillips S
Patient safety in the era of the 80-hour workweek.
The purpose of this paper was to evaluate the effect of duty-hour regulations (DHR) on patient safety. The researchers found no differences in the patient safety indicator (PSI) rates over time for hemorrhage or hematoma, physiologic or metabolic derangement, accidental puncture or laceration, or wound dehiscence. Teaching hospitals had higher rates than non-teaching hospitals both preintervention and postintervention for all the PSIs except wound dehiscence.
AHRQ-funded; HS013833.
Citation: Shelton J, Kummerow K, Phillips S .
Patient safety in the era of the 80-hour workweek.
J Surg Educ 2014 Jul-Aug;71(4):551-9. doi: 10.1016/j.jsurg.2013.12.011.
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Keywords: Adverse Events, Education: Continuing Medical Education, Patient Safety, Quality Indicators (QIs), Provider
Weissman JS, López L, Schneider EC
The association of hospital quality ratings with adverse events.
The researchers used a survey of 2,582 patients hospitalized at 16 acute care Massachusetts hospitals to understand how patient-reported quality is related to adverse events (AEs). Although patients with AEs rated hospital quality lower than others, patients with AEs who experienced ‘service recovery’ rated their quality of care at levels similar to those not experiencing AEs.
AHRQ-funded
Citation: Weissman JS, López L, Schneider EC .
The association of hospital quality ratings with adverse events.
Int J Qual Health Care. 2014 Apr;26(2):129-35. doi: 10.1093/intqhc/mzt092..
Keywords: Adverse Events, Quality of Care, Hospitals, Patient Experience, Patient Safety, Quality Indicators (QIs), Quality Measures
O'Leary KJ, Devisetty VK, Patel AR
Comparison of traditional trigger tool to data warehouse based screening for identifying hospital adverse events.
This study compared a traditional trigger tool with an enterprise data warehouse (EDW) based screening method to detect hospital adverse events (AEs). The authors found relatively poor agreement between traditional trigger tool and EDW based screening with only approximately a third of all AEs detected by both methods. They recommended a combination of complementary methods as the optimal approach to detecting AEs among hospitalized patients.
AHRQ-funded; HS019630.
Citation: O'Leary KJ, Devisetty VK, Patel AR .
Comparison of traditional trigger tool to data warehouse based screening for identifying hospital adverse events.
BMJ Qual Saf 2013 Feb;22(2):130-8. doi: 10.1136/bmjqs-2012-001102.
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Keywords: Adverse Events, Hospitals, Medical Errors, Patient Safety, Quality Indicators (QIs)