National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Antibiotics (1)
- Children/Adolescents (2)
- Clinical Decision Support (CDS) (3)
- Comparative Effectiveness (1)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (5)
- Emergency Department (6)
- Emergency Medical Services (EMS) (1)
- Evidence-Based Practice (1)
- Healthcare Costs (1)
- Healthcare Delivery (1)
- (-) Health Information Technology (HIT) (13)
- Hospitals (3)
- Medication (1)
- Mortality (2)
- Outcomes (2)
- Patient-Centered Outcomes Research (1)
- Quality Improvement (2)
- Quality of Care (2)
- Risk (2)
- Rural Health (3)
- (-) Sepsis (13)
- Telehealth (4)
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 13 of 13 Research Studies DisplayedMohr NM, Okoro U, Harland KK
Outcomes associated with rural emergency department provider-to-provider telehealth for sepsis care: a multicenter cohort study.
The objective of this multicenter cohort study was to test the hypothesis that provider-to-provider tele-emergency department (tele-ED) care is associated with more 28-day hospital-free days and improved Surviving Sepsis Campaign (SSC) guideline adherence in rural emergency departments. Medical records of patients with sepsis were taken from rural hospitals in an established, on-demand, video tele-ED Midwestern network. Findings suggest that tele-ED cases did not have more 28-day hospital-free days or 28-day in-hospital mortality. A subgroup of patients treated by advanced practice providers suggest that mortality was lower in the cohort with tele-ED use in spite of no significant difference in complete SSC adherence. The researchers concluded that rural emergency department patients treated with provider-to-provider tele-ED care in a developed network showed similar clinical outcomes to those treated without.
AHRQ-funded; HS025753.
Citation: Mohr NM, Okoro U, Harland KK .
Outcomes associated with rural emergency department provider-to-provider telehealth for sepsis care: a multicenter cohort study.
Ann Emerg Med 2023 Jan;81(1):1-13. doi: 10.1016/j.annemergmed.2022.07.024..
Keywords: Rural Health, Emergency Department, Telehealth, Health Information Technology (HIT), Sepsis, Outcomes
Dutta S, McEvoy DS, Rubins DM
Clinical decision support improves blood culture collection before intravenous antibiotic administration in the emergency department.
This paper discusses the outcomes of using a clinical decision support (CDS) tool that was implemented in emergency departments (EDs) for sepsis patients to remind healthcare staff to take blood cultures before administration of intravenous (IV) antibiotics. The study compared timely blood culture collection outcomes prior to IV antibiotics for 54,538 adult ED patients 1 year before and after a CDS intervention implementation in the electronic health record. The baseline phase found that 46.1% had blood cultures prior to IV antibiotics, compared to 58.8% after the intervention. The CDS improved blood culture collection rates without increasing overutilization.
AHRQ-funded; HS02717.
Citation: Dutta S, McEvoy DS, Rubins DM .
Clinical decision support improves blood culture collection before intravenous antibiotic administration in the emergency department.
J Am Med Inform Assoc 2022 Sep 12;29(10):1705-14. doi: 10.1093/jamia/ocac115..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Antibiotics, Emergency Department, Medication, Sepsis
Mohr NM, Schuette AR, Ullrich F
An economic and health outcome evaluation of telehealth in rural sepsis care: a comparative effectiveness study.
The purpose of this study will be to assess the impact of provider-focused video telehealth in rural hospital emergency departments (ED) on costs and long-term outcomes for patients with sepsis. Using Medicare administrative claims, the researchers will compare telehealth-subscribing hospitals and control hospitals to assess the differences in total health care expenditures, category-specific costs, length of stay, readmissions, and mortality. The researchers intend for the study results to demonstrate the association between telehealth utilization and sepsis care total expenditures.
AHRQ-funded; HS025753.
Citation: Mohr NM, Schuette AR, Ullrich F .
An economic and health outcome evaluation of telehealth in rural sepsis care: a comparative effectiveness study.
J Comp Eff Res 2022 Jul;11(10):703-16. doi: 10.2217/cer-2022-0019..
Keywords: Telehealth, Health Information Technology (HIT), Sepsis, Rural Health, Healthcare Costs
Mohr NM, Campbell KD, Swanson MB
Provider-to-provider telemedicine improves adherence to sepsis bundle care in community emergency departments.
Sepsis is a life-threatening emergency. Together, early recognition and intervention decreases mortality. Protocol-based resuscitation in the emergency department (ED) has improved survival in sepsis patients, but guideline-adherent care is less common in low-volume EDs. This study examined the association between provider-to-provider telemedicine and adherence with sepsis bundle components in rural community hospitals. The investigators found that telemedicine patients were more likely to receive initial blood lactate measurement, timely broad-spectrum antibiotics, and adequate fluid resuscitation.
AHRQ-funded; HS025753.
Citation: Mohr NM, Campbell KD, Swanson MB .
Provider-to-provider telemedicine improves adherence to sepsis bundle care in community emergency departments.
J Telemed Telecare 2021 Sep;27(8):518-26. doi: 10.1177/1357633x19896667..
Keywords: Telehealth, Health Information Technology (HIT), Emergency Department, Sepsis
Mohr NM, Harland KK, Okoro UE
TELEmedicine as an Intervention for Sepsis in Emergency Departments: a multicenter, comparative effectiveness study (TELEvISED Study).
Sepsis is a life-threatening infection that affects over 1.7 million Americans annually. Low-volume rural hospitals have worse sepsis outcomes, and emergency department (ED)-based telemedicine (tele-ED) has been one promising strategy for improving rural sepsis care. The objective of this study was to evaluate the impact of tele-ED consultation on sepsis care and outcomes in rural ED patients.
AHRQ-funded; HS025753.
Citation: Mohr NM, Harland KK, Okoro UE .
TELEmedicine as an Intervention for Sepsis in Emergency Departments: a multicenter, comparative effectiveness study (TELEvISED Study).
J Comp Eff Res 2021 Feb;10(2):77-91. doi: 10.2217/cer-2020-0141..
Keywords: Sepsis, Telehealth, Health Information Technology (HIT), Emergency Department, Comparative Effectiveness, Evidence-Based Practice, Rural Health, Healthcare Delivery
Scott HF, Brilli RJ, Paul R
Evaluating pediatric sepsis definitions designed for electronic health record extraction and multicenter quality improvement.
The purpose of this study was to describe the Children's Hospital Association's Improving Pediatric Sepsis Outcomes sepsis definitions and to evaluate the definition using a published framework. The investigators concluded that the Improving Pediatric Sepsis Outcomes Sepsis definitions demonstrated feasibility for large-scale data abstraction. When operationalized, these definitions enabled multicenter identification and data aggregation, indicating practical utility for quality improvement.
AHRQ-funded; HS025696.
Citation: Scott HF, Brilli RJ, Paul R .
Evaluating pediatric sepsis definitions designed for electronic health record extraction and multicenter quality improvement.
Crit Care Med 2020 Oct;48(10):e916-e26. doi: 10.1097/ccm.0000000000004505..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Sepsis, Quality Improvement, Quality of Care
Scott HF, Colborn KL, Sevick CJ
Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival.
The purpose of this observational cohort study was to derive and validate a model of risk of septic shock among children with suspected sepsis, using data known in the electronic health record at hospital arrival. The investigators concluded that their model estimated the risk of septic shock in children at hospital arrival earlier than existing models. They indicate it leveraged the predictive value of routine electronic health record data through a modern predictive algorithm and suggest it has the potential to enhance clinical risk stratification in the critical moments before deterioration.
AHRQ-funded; HS025696.
Citation: Scott HF, Colborn KL, Sevick CJ .
Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival.
J Pediatr 2020 Feb;217:145-51.e6. doi: 10.1016/j.jpeds.2019.09.079..
Keywords: Children/Adolescents, Sepsis, Emergency Department, Hospitals, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Rhee C, Jentzsch MS, Kadri SS
Variation in identifying sepsis and organ dysfunction using administrative versus electronic clinical data and impact on hospital outcome comparisons.
Administrative claims data are commonly used for sepsis surveillance, research, and quality improvement. However, variations in diagnosis, documentation, and coding practices for sepsis and organ dysfunction may confound efforts to estimate sepsis rates, compare outcomes, and perform risk adjustment. In this study, the investigators evaluated hospital variation in the sensitivity of claims data relative to clinical data from electronic health records and its impact on outcome comparisons.
AHRQ-funded; HS025008.
Citation: Rhee C, Jentzsch MS, Kadri SS .
Variation in identifying sepsis and organ dysfunction using administrative versus electronic clinical data and impact on hospital outcome comparisons.
Crit Care Med 2019 Apr;47(4):493-500. doi: 10.1097/ccm.0000000000003554..
Keywords: Sepsis, Electronic Health Records (EHRs), Health Information Technology (HIT)
Delahanty RJ, Alvarez J, Flynn LM
Development and evaluation of a machine learning model for the early identification of patients at risk for sepsis.
In this study, the investigators aimed to use machine learning to develop a new sepsis screening tool, the Risk of Sepsis (RoS) score, and compare it with a slate of benchmark sepsis-screening tools, including the Systemic Inflammatory Response Syndrome, Sequential Organ Failure Assessment (SOFA), qSOFA, Modified Early Warning Score, and National Early Warning Score. The investigators concluded that in this retrospective study, RoS was more timely and discriminant than benchmark screening tools, including those recommend by the Sepsis-3 Task Force.
AHRQ-funded; HS024750.
Citation: Delahanty RJ, Alvarez J, Flynn LM .
Development and evaluation of a machine learning model for the early identification of patients at risk for sepsis.
Ann Emerg Med 2019 Apr;73(4):334-44. doi: 10.1016/j.annemergmed.2018.11.036..
Keywords: Health Information Technology (HIT), Hospitals, Risk, Sepsis
Rhee C, Zhang Z, Kadri SS
Sepsis surveillance using adult sepsis events simplified eSOFA criteria versus sepsis-3 sequential organ failure assessment criteria.
This retrospective cohort study compared simplified organ dysfunction criteria optimized for electronic health records (eSOFA) with Sequential Organ Failure Assessment with regard to sepsis prevalence, overlap, and outcomes using 111 U.S. hospitals in the Cerner HealthFacts dataset. Clinical indicators of presumed infection, such as blood cultures and antibiotics, were identified concurrent with either: an increase in Sequential Organ Failure Assessment score by 2 or more points (Sepsis-3) or one or more eSOFA criteria. The authors conclude that the Adult Sepsis Event's eSOFA organ dysfunction criteria identify a smaller, more severely ill sepsis cohort when compared with the Sequential Organ Failure Assessment score, although there is overlap between the two and both show similar clinical characteristics.
AHRQ-funded; HS025008.
Citation: Rhee C, Zhang Z, Kadri SS .
Sepsis surveillance using adult sepsis events simplified eSOFA criteria versus sepsis-3 sequential organ failure assessment criteria.
Crit Care Med 2019 Mar;47(3):307-14. doi: 10.1097/ccm.0000000000003521..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Sepsis
Austrian JS, Jamin CT, Doty GR
Impact of an emergency department electronic sepsis surveillance system on patient mortality and length of stay.
The goal of this study was to determine if an electronic health record (EHR) based sepsis alert system could improve quality of care and clinical outcomes for patients with sepsis. A patient-level, interrupted time series study of emergency department patients with severe sepsis or septic shock was conducted, with an intervention introduced at the approximate mid-point--a system of interruptive sepsis alerts triggered by abnormal vital signs or laboratory results. Mean length of stay for patients with sepsis decreased significantly following the introduction of the alert, but the alert system had no effect on mortality or other clinical or process measures. The researchers conclude that a more sophisticated algorithm for sepsis identification is needed to improve outcomes.
AHRQ-funded; HS023683.
Citation: Austrian JS, Jamin CT, Doty GR .
Impact of an emergency department electronic sepsis surveillance system on patient mortality and length of stay.
J Am Med Inform Assoc 2018 May;25(5):523-29. doi: 10.1093/jamia/ocx072..
Keywords: Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Hospitals, Mortality, Outcomes, Quality Improvement, Quality of Care, Sepsis
Taylor RA, Pare JR, Venkatesh AK
Prediction of in-hospital mortality in emergency department patients with sepsis: A local big data-driven, machine learning approach.
In this proof-of-concept study, a local, big data-driven, machine learning approach is compared to existing clinical decision rules (CDRs) and traditional analytic methods using the prediction of sepsis in-hospital mortality as the use case. It concluded that this approach outperformed existing CDRs as well as traditional analytic techniques for predicting in-hospital mortality of ED patients with sepsis.
AHRQ-funded; HS021271.
Citation: Taylor RA, Pare JR, Venkatesh AK .
Prediction of in-hospital mortality in emergency department patients with sepsis: A local big data-driven, machine learning approach.
Acad Emerg Med 2016 Mar;23(3):269-78. doi: 10.1111/acem.12876.
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Keywords: Emergency Medical Services (EMS), Mortality, Clinical Decision Support (CDS), Sepsis, Health Information Technology (HIT)
Makam AN, Nguyen OK, Auerbach AD
Diagnostic accuracy and effectiveness of automated electronic sepsis alert systems: a systematic review.
This review aimed to determine whether automated real-time electronic sepsis alerts can: (1) accurately identify sepsis and (2) improve process measures and outcomes. It found that automated sepsis alerts derived from electronic health data may improve care processes but tend to have poor positive predictive value and do not improve mortality or length of stay.
AHRQ-funded; HS022418.
Citation: Makam AN, Nguyen OK, Auerbach AD .
Diagnostic accuracy and effectiveness of automated electronic sepsis alert systems: a systematic review.
J Hosp Med 2015 Jun;10(6):396-402. doi: 10.1002/jhm.2347..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Sepsis, Diagnostic Safety and Quality, Patient-Centered Outcomes Research