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Search All Research Studies
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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 7 of 7 Research Studies DisplayedDullabh P, Heaney-Huls KK, Chiao AB
Implementation and evaluation of an electronic health record-integrated app for postpartum monitoring of hypertensive disorders of pregnancy using patient-contributed data collection.
This paper describes a pilot intervention of a smartphone app for postpartum monitoring of hypertensive disorders of pregnancy (HDP) that integrates patient-contributed data into electronic health records (EHRs) to support monitoring and clinical decision-making. Results from the pilot evaluation highlighted the resources needed when implementing the app, challenges for integrating an app into the EHR, and the usability and utility of the HDP monitoring app for patient and clinician users. Key observations of the implementation team included the importance of a local clinical champion, more robust patient involvement and support for the remote patient monitoring program, an impetus for EHR developers to adopt data integration standards, and a need to expand the capabilities of the standards to support interventions using patient-contributed data.
AHRQ-funded; 233201500023I.
Citation: Dullabh P, Heaney-Huls KK, Chiao AB .
Implementation and evaluation of an electronic health record-integrated app for postpartum monitoring of hypertensive disorders of pregnancy using patient-contributed data collection.
JAMIA Open 2023 Dec; 6(4):ooad098. doi: 10.1093/jamiaopen/ooad098..
Keywords: Electronic Health Records (EHRs), Maternal Care, Blood Pressure, Telehealth, Health Information Technology (HIT), Women
Bui 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
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
Hoffman SR, Vines AI, Halladay JR
Optimizing research in symptomatic uterine fibroids with development of a computable phenotype for use with electronic health records.
The objective of the study was to develop an electronic health record-based algorithm to identify women with symptomatic uterine fibroids for a comparative effectiveness study of medical or surgical treatments on quality-of-life measures. The study concluded that an electronic health record-based algorithm is capable of identifying cases of symptomatic uterine fibroids with moderate positive predictive value and may be an efficient approach for large-scale study recruitment.
AHRQ-funded; HS023418.
Citation: Hoffman SR, Vines AI, Halladay JR .
Optimizing research in symptomatic uterine fibroids with development of a computable phenotype for use with electronic health records.
Am J Obstet Gynecol 2018 Jun;218(6):610.e1-10.e7. doi: 10.1016/j.ajog.2018.02.002..
Keywords: Comparative Effectiveness, Electronic Health Records (EHRs), Research Methodologies, Women
Murphy DR, Meyer AND, Vaghani V
Electronic triggers to identify delays in follow-up of mammography: harnessing the power of big data in health care.
Because of the unique clinical, logistic, and legal aspects of mammography, this study was conducted to evaluate the effectiveness of a trigger to flag delayed follow-up on mammography. The investigators found that care delays appeared to continue despite federal laws requiring patient notification of mammographic results within 30 days. They suggest that clinical application of mammography-related triggers could help detect these delays.
AHRQ-funded; HS022901.
Citation: Murphy DR, Meyer AND, Vaghani V .
Electronic triggers to identify delays in follow-up of mammography: harnessing the power of big data in health care.
J Am Coll Radiol 2018 Feb;15(2):287-95. doi: 10.1016/j.jacr.2017.10.001..
Keywords: Cancer: Breast Cancer, Cancer, Electronic Health Records (EHRs), Health Information Technology (HIT), Imaging, Diagnostic Safety and Quality, Prevention, Women
Lipira L, Kemp C, Domercant JW
The role of service readiness and health care facility factors in attrition from Option B+ in Haiti: a joint examination of electronic medical records and service provision assessment survey data.
Option B+ is a strategy wherein pregnant or breastfeeding women with HIV are enrolled in lifelong antiretroviral therapy (ART) for prevention of mother-to-child transmission (PMTCT) of HIV. This study explored service readiness and other facility factors as predictors of Option B+ attrition in Haiti. The study found that several facility-level factors were associated with Option B+ attrition.
AHRQ-funded; HS013853.
Citation: Lipira L, Kemp C, Domercant JW .
The role of service readiness and health care facility factors in attrition from Option B+ in Haiti: a joint examination of electronic medical records and service provision assessment survey data.
Int Health 2018 Jan;10(1):54-62. doi: 10.1093/inthealth/ihx060..
Keywords: Breast Feeding, Electronic Health Records (EHRs), Human Immunodeficiency Virus (HIV), Prevention, Women