National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
Topics
- Adverse Events (1)
- Critical Care (1)
- Diagnostic Safety and Quality (1)
- (-) Electronic Health Records (EHRs) (5)
- Health Information Technology (HIT) (4)
- Hospitals (1)
- Intensive Care Unit (ICU) (1)
- Medical Errors (1)
- Neonatal Intensive Care Unit (NICU) (1)
- (-) Newborns/Infants (5)
- Nursing (1)
- Patient Safety (2)
- Respiratory Conditions (2)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 5 of 5 Research Studies DisplayedShafer GJ, Singh H, Thomas EJ
Frequency of diagnostic errors in the neonatal intensive care unit: a retrospective cohort study.
The objective of this study was to determine the frequency and etiology of diagnostic errors during the first 7 days of admission for inborn neonatal intensive care unit (NICU) patients. The "Safer Dx NICU Instrument" was used to review electronic health records. The reviewers discovered that the frequency of diagnostic error in inborn NICU patients during the first 7 days of admission was 6.2%.
AHRQ-funded; HS027363.
Citation: Shafer GJ, Singh H, Thomas EJ .
Frequency of diagnostic errors in the neonatal intensive care unit: a retrospective cohort study.
J Perinatol 2022 Oct;42(10):1312-18. doi: 10.1038/s41372-022-01359-9..
Keywords: Newborns/Infants, Intensive Care Unit (ICU), Critical Care, Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Kern-Goldberger AS, Rasooly IR, Luo B
EHR-integrated monitor data to measure pulse oximetry use in bronchiolitis.
This study’s objective was to determine if electronic health record (EHR) data can accurately estimate the extent of actual oxygen saturation monitoring use in bronchiolitis. The study included infants aged 8 weeks through 23 months who were hospitalized with bronchiolitis. Findings showed that EHR-integrated monitor data were a valid measure of actual oxygen saturation monitoring use that may help hospitals more efficiently identify opportunities to de-implement guideline-inconsistent use.
AHRQ-funded; HS026620.
Citation: Kern-Goldberger AS, Rasooly IR, Luo B .
EHR-integrated monitor data to measure pulse oximetry use in bronchiolitis.
Hosp Pediatr 2021 Oct;11(10):1073-82. doi: 10.1542/hpeds.2021-005894..
Keywords: Newborns/Infants, Respiratory Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Beam KS, Lee M, Hirst K
Specificity of International Classification of Diseases codes for bronchopulmonary dysplasia: an investigation using electronic health record data and a large insurance database.
This study analyzed the accuracy of International Classification of Diseases (ICD) codes to identify bronchopulmonary dysplasia (BPD) in newborns. A retrospective cohort study in a single-center NICU (n=166) was conducted to evaluate sensitivity and specificity of ICD-10 codes for BPD diagnosis. The sensitivity of any BPD-related codes ranged from 0.82 to 0.95, while specificity range was 0.25 to 0.36. The most common date of BPD diagnosis was the day of birth, which is inconsistent with the clinical definition. The authors conclude that the ICD codes for BPD are unlikely to accurately reflect the current clinical definition and should be interpreted with caution.
AHRQ-funded; HS000063.
Citation: Beam KS, Lee M, Hirst K .
Specificity of International Classification of Diseases codes for bronchopulmonary dysplasia: an investigation using electronic health record data and a large insurance database.
J Perinatol 2021 Apr;41(4):764-71. doi: 10.1038/s41372-021-00965-3..
Keywords: Newborns/Infants, Respiratory Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Brady PW, Schondelmeyer AC, Landrigan CP
Validity of continuous pulse oximetry orders for identification of actual monitoring status in bronchiolitis.
Investigators used direct bedside observation to determine continuous pulse oximetry monitor use in infants with bronchiolitis and then assessed if an active continuous monitoring order was present in the electronic health record. They found that most monitored infants did not have an active monitoring order. The positive predictive value of a monitoring order was 77%, and the negative predictive value was 69%. They recommended that teams intending to measure continuous pulse oximetry use understand the limitations of using electronic health record orders as a stand-alone measure.
AHRQ-funded; HS023827; HS026763.
Citation: Brady PW, Schondelmeyer AC, Landrigan CP .
Validity of continuous pulse oximetry orders for identification of actual monitoring status in bronchiolitis.
J Hosp Med 2020 Nov;15(11):665-68. doi: 10.12788/jhm.3443..
Keywords: Newborns/Infants, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals
Dudding KM, Gephart SM, Carrington JM
Neonatal nurses experience unintended consequences and risks to patient safety with electronic health records.
The purposes of this study were to describe unintended consequences of use of electronic health records for neonatal nurses and to explore relationships between the phenomena and characteristics of the nurse and the electronic health record. The most frequent unintended consequences of electronic health record use were due to interruptions, followed by a heavier workload due to the electronic health record.
AHRQ-funded; HS022908.
Citation: Dudding KM, Gephart SM, Carrington JM .
Neonatal nurses experience unintended consequences and risks to patient safety with electronic health records.
Comput Inform Nurs 2018 Apr;36(4):167-76. doi: 10.1097/cin.0000000000000406.
.
.
Keywords: Electronic Health Records (EHRs), Neonatal Intensive Care Unit (NICU), Newborns/Infants, Nursing, Patient Safety