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Search All Research Studies
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- Behavioral Health (1)
- Clinical Decision Support (CDS) (1)
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- (-) Electronic Health Records (EHRs) (5)
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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 5 of 5 Research Studies DisplayedBui LN, Marshall C, Miller-Rosales C
Hospital adoption of electronic decision support tools for preeclampsia management.
Maternal morbidity and mortality can be reduced by the utilization of evidence-based clinical guidelines for preeclampsia management. Electronic health record (EHR)-based clinical decision support tools can improve the use of those guidelines. The purpose of this study was to investigate the organizational capabilities and hospital adoption of HER-based decision tools for preeclampsia management. The researchers conducted a cross-sectional analysis of hospitals that provided obstetric care in 2017. A total of 739 hospitals that responded to the 2017-2018 National Survey of Healthcare Organizations and Systems (NSHOS) and their results were linked to the 2017 Area Health Resources File (AHRF) and the American Hospital Association (AHA) Annual Survey Database. A final total of 425 hospitals from 49 states were analyzed. The primary outcome of the analysis was whether a hospital adopted EHR-based clinical decision support tools for preeclampsia management. The study found that 68% of the hospitals utilized EHR-based decision support tools for preeclampsia, and that hospitals with a single EHR system were more likely to adopt EHR-based decision support tools for preeclampsia than hospitals with multiple systems, including a combination of EHR and paper-based systems. The researchers also determined that hospitals with more processes to disseminate best patient care practices were more likely to adopt EHR-based decision support tools for preeclampsia management. The study concluded that having standardized EHRs and policies to disseminate evidence can help hospitals advance the use of EHR-based decision support tools for preeclampsia management in those hospitals that have not yet adopted them.
AHRQ-funded; HS024075.
Citation: Bui LN, Marshall C, Miller-Rosales C .
Hospital adoption of electronic decision support tools for preeclampsia management.
Qual Manag Health Care 2022 Apr-Jun;31(2):59-67. doi: 10.1097/qmh.0000000000000328..
Keywords: Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals, Pregnancy, Women
Tang LA, Jeffery AD, Leech AA
A comparison of methods to identify antenatal substance use within electronic health records.
This study described the development of a natural-language-processing-based algorithm for detecting antenatal substance use among individuals receiving perinatal care. Findings showed that the accuracy of antenatal substance use detection was improved with more stringent case definitions; however, the overall proportion of true cases confirmed by manual chart review decreased.
AHRQ-funded; HS026395.
Citation: Tang LA, Jeffery AD, Leech AA .
A comparison of methods to identify antenatal substance use within electronic health records.
Am J Obstet Gynecol MFM 2022 Mar;4(2):100535. doi: 10.1016/j.ajogmf.2021.100535..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Substance Abuse, Pregnancy, Women, Behavioral Health
Tan M, Lipman S, Lee H
Evaluation of electronic medical records on nurses' time allocation during cesarean delivery.
The impact of the electronic medical record (EMR) on nursing workload is not well understood. The objective of this descriptive study was to measure the actual and perceived time that nurses spend on the EMR in the operating room during cesarean births. The investigators found that on average, nurses spent 40% of their intraoperative time on the EMR during cesarean births, and this time burden was distributed across the perioperative period.
AHRQ-funded; HS023506.
Citation: Tan M, Lipman S, Lee H .
Evaluation of electronic medical records on nurses' time allocation during cesarean delivery.
J Patient Saf 2019 Dec;15(4):e82-e85. doi: 10.1097/pts.0000000000000467..
Keywords: Electronic Health Records (EHRs), Labor and Delivery, Provider: Nurse, Health Information Technology (HIT), Provider, Pregnancy
Hedderson MM, Brown SD, Ehrlich SF
A tailored letter based on electronic health record data improves gestational weight gain among women with gestational diabetes mellitus: the Gestational Diabetes' Effects on Moms (GEM) cluster-randomized controlled trial.
The purpose of this study was to evaluate whether a tailored letter improved gestational weight gain (GWG) and whether GWG mediated a multicomponent intervention's effect on postpartum weight retention among women with gestational diabetes mellitus (GDM). The authors concluded that a tailored electronic health record-based letter improved GWG, which mediated the effect of a multicomponent intervention in reducing postpartum weight retention.
AHRQ-funded; HS019367.
Citation: Hedderson MM, Brown SD, Ehrlich SF .
A tailored letter based on electronic health record data improves gestational weight gain among women with gestational diabetes mellitus: the Gestational Diabetes' Effects on Moms (GEM) cluster-randomized controlled trial.
Diabetes Care 2018 Jul;41(7):1370-77. doi: 10.2337/dc17-1133..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Lifestyle Changes, Patient-Centered Outcomes Research, Pregnancy, Women
Webb J, Sorensen A, Sommerness S
AHRQ Author: Mistry K
Advancing perinatal patient safety through application of safety science principles using health IT.
Researchers used semi-structured interviews with Labor and Delivery (L&D) units participating in AHRQ's Safety Program for Perinatal Care (SPPC) to assess units' experience with program implementation. Seventy percent of the units reported the use of health IT as an enabling strategy for their local implementation. Health IT was used to improve standardization of processes, use of independent checks, and to facilitate learning from defects.
AHRQ-authored; AHRQ-funded; 2902010000241.
Citation: Webb J, Sorensen A, Sommerness S .
Advancing perinatal patient safety through application of safety science principles using health IT.
BMC Med Inform Decis Mak 2017 Dec 19;17(1):176. doi: 10.1186/s12911-017-0572-8.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Pregnancy, Maternal Care