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
AHRQ Research Studies Date
Topics
- Access to Care (1)
- Adverse Events (1)
- Ambulatory Care and Surgery (1)
- Cancer (1)
- Cardiovascular Conditions (2)
- Children/Adolescents (1)
- (-) Critical Care (12)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (5)
- Emergency Department (2)
- Emergency Medical Services (EMS) (1)
- Guidelines (1)
- (-) Health Information Technology (HIT) (12)
- Heart Disease and Health (2)
- Intensive Care Unit (ICU) (6)
- Medical Errors (1)
- Medication (1)
- Medication: Safety (1)
- Newborns/Infants (1)
- Outcomes (3)
- Patient and Family Engagement (1)
- Patient Safety (3)
- Provider: Pharmacist (1)
- Quality of Care (1)
- Rural Health (1)
- Shared Decision Making (2)
- Simulation (1)
- Stroke (1)
- Teams (1)
- Telehealth (3)
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 12 of 12 Research Studies DisplayedKang D, Charlton P, Applebury DE
Utilizing eye tracking to assess electronic health record use by pharmacists in the intensive care unit.
The authors conducted a study using high-fidelity electronic health record (EHR)-based simulations with incorporated eye tracking to understand the workflow of critical care pharmacists within the EHR, with specific attention to the data elements most frequently viewed. They found that, in addition to medication information, laboratory data and clinical notes are key focuses of intensive care unit pharmacist review of patient records and that navigation to multiple screens is required in order to view these data with the EHR.
AHRQ-funded; HS023793.
Citation: Kang D, Charlton P, Applebury DE .
Utilizing eye tracking to assess electronic health record use by pharmacists in the intensive care unit.
Am J Health Syst Pharm 2022 Nov 7;79(22):2018-25. doi: 10.1093/ajhp/zxac158..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Intensive Care Unit (ICU), Critical Care, Provider: Pharmacist
Shafer 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)
Ofoma UR, Drewry AM, Maddox TM
Outcomes of in-hospital cardiac arrest among hospitals with and without telemedicine critical care.
This study compared survival rates for inpatients who suffered in-hospital cardiac arrest (IHCA) who had access to Telemedicine Critical Care (TCC) during nights and weekends (off-hours) compared to those who did not. The authors identified 44,585 adults at 280 U.S. hospitals in the Get With The Guidelines® - Resuscitation registry who suffered IHCA in an Intensive Care Unit (ICU) or hospital ward between July 2017 and December 2019. The majority (60.6%) of IHCAs occurred in an ICU, and 32.2% participants suffered IHCA at hospitals with TCC. No difference was found in acute resuscitation survival rates or survival to discharge rates for either IHCA between TCC and non-TCC hospitals. Timing of cardiac arrest did not modify the association between TCC availability and acute resuscitation survival or survival to discharge.
AHRQ-funded; HS019455.
Citation: Ofoma UR, Drewry AM, Maddox TM .
Outcomes of in-hospital cardiac arrest among hospitals with and without telemedicine critical care.
Resuscitation 2022 Aug;177:7-15. doi: 10.1016/j.resuscitation.2022.06.008..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Telehealth, Health Information Technology (HIT), Outcomes, Critical Care, Intensive Care Unit (ICU)
KS Cash, RE Adeoye, O
AHRQ Author: Zachrison
Estimated population access to acute stroke and telestroke centers in the US, 2019.
In order to provide an update on population-level access to stroke care, the investigators estimated the proportion of the US population with access to an ED with acute stroke capabilities and assessed the specific contribution of telestroke services to US population access. They observed a substantial increase in population access to acute stroke care in this cross-sectional study relative to previous reports using alternative methods, likely due to the extensive and ongoing work to improve stroke systems of care, including greater stroke center accreditation and expansion of telestroke capacity.
AHRQ-funded; HS024561.
Citation: KS Cash, RE Adeoye, O .
Estimated population access to acute stroke and telestroke centers in the US, 2019.
JAMA Netw Open 2022 Feb;5(2):e2145824. doi: 10.1001/jamanetworkopen.2021.45824..
Keywords: Telehealth, Health Information Technology (HIT), Stroke, Cardiovascular Conditions, Critical Care, Access to Care
Rafiei A, Ghiasi Rad M, Sikora A
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: a case study of fluid overload prediction in the intensive care unit.
The aim of this study was to pilot test integrating synthetic data within an existing dataset of complex medication data to improve machine learning model prediction of fluid overload. The study found that training machine learning algorithms on the combined synthetic and original dataset overall increased the performance of the predictive models compared to training on the original dataset. The best-performing model was the meta-model trained on the combined dataset with 0.83 AUROC while it enhanced the sensitivity across different training scenarios.
AHRQ-funded; HS028485, HS029009.
Citation: Rafiei A, Ghiasi Rad M, Sikora A .
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: a case study of fluid overload prediction in the intensive care unit.
Comput Biol Med 2024 Jan; 168:107749. doi: 10.1016/j.compbiomed.2023.107749..
Keywords: Critical Care, Intensive Care Unit (ICU), Health Information Technology (HIT)
Carayon P, Wetterneck TB, Cartmill R
Medication safety in two intensive care units of a community teaching hospital after electronic health record implementation: sociotechnical and human factors engineering considerations.
This study examined the impact of electronic health record (EHR) implementation in two intensive care units (ICUs). The authors assessed 1254 consecutive admissions before and after an EHR implementation. They identified 4063 medication-related events either pre-implementation (2074 events) or post-implementation (1989 events). The overall potential for harm due to medication errors decreased post-implementation, but only 2 of the 3 error rates were significantly lower post-implementation. They observed reductions in rates of medication errors per admission at the stages of transcription, dispensing, and administration. In the ordering stage, 4 error types decreased post-implementation (orders with omitted information, error-prone abbreviations, illegible orders, failure to renew orders) and 4 error types increased post-implementation (orders of wrong drug, orders containing a wrong start or stop time, duplicate orders, orders with inappropriate or wrong information).
AHRQ-funded; HS015274; HS000083.
Citation: Carayon P, Wetterneck TB, Cartmill R .
Medication safety in two intensive care units of a community teaching hospital after electronic health record implementation: sociotechnical and human factors engineering considerations.
J Patient Saf 2021 Aug 1;17(5):e429-e39. doi: 10.1097/pts.0000000000000358.
AHRQ-funded; HS015274; HS000083..
AHRQ-funded; HS015274; HS000083..
Keywords: Medication: Safety, Medication, Intensive Care Unit (ICU), Critical Care, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Hinson JS, Martinez DA, Cabral S
Triage performance in emergency medicine: a systematic review.
The authors synthesized existing emergency department (ED) triage literature by using a framework that enables performance comparisons and benchmarking across triage systems, with respect to clinical outcomes and reliability. They found that a substantial proportion of ED patients who die post-encounter or who are critically ill are not designated as high acuity at triage. They suggested that the opportunity exists to improve interrater reliability and triage performance in identifying patients at risk of adverse outcome.
AHRQ-funded; HS023641.
Citation: Hinson JS, Martinez DA, Cabral S .
Triage performance in emergency medicine: a systematic review.
Ann Emerg Med 2019 Jul;74(1):140-52. doi: 10.1016/j.annemergmed.2018.09.022..
Keywords: Emergency Department, Shared Decision Making, Critical Care, Outcomes, Health Information Technology (HIT)
Kruser JM, Benjamin BT, Gordon EJ
Patient and family engagement during treatment decisions in an ICU: a discourse analysis of the electronic health record.
This study looked at patient and family engagement during treatment decisions with patients in a medical ICU. A total of 52 patients were included who had been admitted to a hospital ICU during 2016. Half of them met a consensus definition of chronic critical illness, and the other half either died or had transitioned to hospice care in the ICU. Clinical electronic health records (EHRs) were used to document decision points. The phrase “goals of care” was frequently found in the HER and was used to indicate poor prognosis.
AHRQ-funded; HS000078.
Citation: Kruser JM, Benjamin BT, Gordon EJ .
Patient and family engagement during treatment decisions in an ICU: a discourse analysis of the electronic health record.
Crit Care Med 2019 Jun;47(6):784-91. doi: 10.1097/ccm.0000000000003711..
Keywords: Critical Care, Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Intensive Care Unit (ICU), Patient and Family Engagement
Bond WF, Barker LT, Cooley KL
A simple low-cost method to integrate telehealth interprofessional team members during in situ simulation.
This article describes the integration of remote telehealth electronic intensive care unit (eICU) personnel into in situ simulations with rural emergency department (ED) care teams and the technical challenges of creating shared awareness of the patient's condition and the care team's progress among the care team, the eICU, and those running the simulation. The purpose of the simulations was to introduce telehealth technology and new processes of engaging the eICU via telehealth during sepsis care in rural EDs; development of the scenarios included experts in sepsis, telehealth, and emergency medicine. A shared in situ simulation clinical actions observational checklist was created using an off-the-shelf survey software program. The checklist was completed during the simulations by an onsite observer, and shared with the eICU team via teleconferencing software to and cue eICU nurse engagement. Staff from the two EDs were engaged and an eICU nurse participated in debriefing via the telehealth video system.
AHRQ-funded; HS024027.
Citation: Bond WF, Barker LT, Cooley KL .
A simple low-cost method to integrate telehealth interprofessional team members during in situ simulation.
Simul Healthc 2019 Apr;14(2):129-36. doi: 10.1097/sih.0000000000000357..
Keywords: Critical Care, Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Rural Health, Simulation, Teams, Telehealth
Berrens ZJ, Gosdin CH, Brady PW
Efficacy and safety of pediatric critical care physician telemedicine involvement in rapid response team and code response in a satellite facility.
This study compared response rates at satellite inpatient facilities of larger children’s hospitals using telemedicine to response rates at main campus. Through the use of telemedicine, there was no difference in critical care response and rate of transfer to intensive-care units.
AHRQ-funded; HS023827.
Citation: Berrens ZJ, Gosdin CH, Brady PW .
Efficacy and safety of pediatric critical care physician telemedicine involvement in rapid response team and code response in a satellite facility.
Pediatr Crit Care Med 2019 Feb;20(2):172-77. doi: 10.1097/pcc.0000000000001796.
.
.
Keywords: Children/Adolescents, Critical Care, Quality of Care, Health Information Technology (HIT), Patient Safety
Berner ES, Ray MN, Panjamapirom A
Exploration of an automated approach for receiving patient feedback after outpatient acute care visits.
The authors' objective was to provide post-visit feedback to physicians on patient outcomes following acute care visits. They found that many patients who do not improve as expected do not take action to further address unresolved problems. They suggested that systematic follow-up/feedback mechanisms can potentially identify and connect such patients to needed care.
AHRQ-funded; HS017060.
Citation: Berner ES, Ray MN, Panjamapirom A .
Exploration of an automated approach for receiving patient feedback after outpatient acute care visits.
J Gen Intern Med 2014 Aug;29(8):1105-12. doi: 10.1007/s11606-014-2783-3.
.
.
Keywords: Critical Care, Emergency Medical Services (EMS), Health Information Technology (HIT), Ambulatory Care and Surgery, Cancer
Ballesca MA, LaGuardia JC, Le PC
An electronic order set for acute myocardial infarction is associated with improved patient outcomes through better adherence to clinical practice guidelines.
The researchers investigated the association between the use of an evidence-based, electronic order set (OS) for acute myocardial infarction (AMI) and better adherence to clinical practice guidelines among 5,789 patients hospitalized with AMI. They found that use of the electronic OS is associated with increased adherence to evidence-based therapies and lower 30-day mortality.
AHRQ-funded; HS018480
Citation: Ballesca MA, LaGuardia JC, Le PC .
An electronic order set for acute myocardial infarction is associated with improved patient outcomes through better adherence to clinical practice guidelines.
J Hosp Med 2014 Mar;9(3):155-61. doi: 10.1002/jhm.2149..
Keywords: Health Information Technology (HIT), Heart Disease and Health, Outcomes, Guidelines, Critical Care