National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Access to Care (1)
- Adverse Drug Events (ADE) (7)
- Adverse Events (5)
- Ambulatory Care and Surgery (1)
- Blood Pressure (1)
- Case Study (1)
- Clinical Decision Support (CDS) (3)
- Communication (1)
- Community-Based Practice (1)
- Diabetes (2)
- Electronic Health Records (EHRs) (7)
- (-) Electronic Prescribing (E-Prescribing) (26)
- Evidence-Based Practice (1)
- Healthcare Costs (1)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (20)
- Intensive Care Unit (ICU) (1)
- Medical Errors (6)
- Medicare (1)
- Medication (21)
- Medication: Safety (10)
- Newborns/Infants (1)
- Nursing (1)
- Opioids (1)
- Patient Adherence/Compliance (3)
- Patient Safety (12)
- Practice Patterns (2)
- Provider (2)
- Provider: Clinician (2)
- Provider: Pharmacist (2)
- Provider: Physician (1)
- Risk (2)
- Shared Decision Making (1)
- Surgery (1)
- Vulnerable Populations (1)
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 25 of 26 Research Studies DisplayedPitts SI, Olson s, Yanek LR
Pharmacy e-prescription dispensing before and after CancelRx implementation.
The objective of this study was to evaluate the association of implementation of e-prescription cancellation messaging (CancelRx) with medication dispensing after discontinuation of e-prescriptions in electronic health records (EHRs). Patients who had at least one medication e-prescribed in ambulatory care to a health system pharmacy and discontinued within the study period participated in a case series with interrupted time series analysis. Findings indicated that CancelRx implementation was associated with an immediate and sustained reduction in the proportion of e-prescriptions sold after discontinuation in the EHR. The authors concluded that widespread implementation of CancelRx could significantly improve medication safety through the reduction of medication dispensing after discontinuation by prescribers.
AHRQ-funded; HS026584.
Citation: Pitts SI, Olson s, Yanek LR .
Pharmacy e-prescription dispensing before and after CancelRx implementation.
JAMA Intern Med 2023 Oct; 183(10):1120-26. doi: 10.1001/jamainternmed.2023.4192..
Keywords: Medication, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Provider: Pharmacist
Taft T, Rudd EA, Thraen I
"Are we there yet?" Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses.
The objectives of this study were to characterize persistent hazards and inefficiencies in inpatient medication administration, to explore cognitive attributes of medication administration tasks, and to discuss strategies to reduce technology-related hazards. Researchers interviewed nurses at two urban US health systems. Persistent safety hazards and inefficiencies related to medication administration technology were organized around the perception-action cycle (PAC) cycle. The researchers concluded that errors may persist in medication administration despite successful deployment of Bar Code Medication Administration and Electronic Medication Administration Record. Opportunities to improve would require a deeper understanding of high-level reasoning in medication administration.
AHRQ-funded; HS025136.
Citation: Taft T, Rudd EA, Thraen I .
"Are we there yet?" Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses.
J Am Med Inform Assoc 2023 Apr 19; 30(5):809-18. doi: 10.1093/jamia/ocad031..
Keywords: Medication, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Patient Safety, Adverse Drug Events (ADE), Medical Errors, Medication: Safety
Grauer A, Rosen A, Applebaum JR
Examining medication ordering errors using AHRQ network of patient safety databases.
Research on the impact of Computerized Physician Order Entry (CPOE) systems on drug order inaccuracies has shown inconsistent results, with CPOE not reliably preventing such mistakes. The study utilized the Network of Patient Safety Databases (NPSD) from the Agency for Healthcare Research and Quality (AHRQ) to explore the frequency and degree of harm associated with reported events during the ordering stage, and to classify them by error type.
The researchers conducted a retrospective analysis of reported safety incidents provided by healthcare systems associated with patient safety organizations from June 2010 to December 2020. All errors related to medication and other substance orders reported to the NPSD using the common format v1.2 during this period were assessed. The researchers grouped and categorized the prevalence of reported medication order errors by error type, harm levels, and demographic data. The study found that during the study period, 12,830 mistakes were reported. Incorrect dosage accounted for 3,812 errors (29.7%), followed by incorrect medicine 2,086 (16.3%), and incorrect duration 765 (6.0%). Out of 5,282 incidents that affected the patient and had a known severity level, 12 resulted in fatalities, 4 led to severe harm, 45 caused moderate harm, 341 led to minor harm, and 4,880 resulted in no harm. The study concluded that the most frequently reported and damaging types of medication order errors were incorrect dose and incorrect medication orders.
The researchers conducted a retrospective analysis of reported safety incidents provided by healthcare systems associated with patient safety organizations from June 2010 to December 2020. All errors related to medication and other substance orders reported to the NPSD using the common format v1.2 during this period were assessed. The researchers grouped and categorized the prevalence of reported medication order errors by error type, harm levels, and demographic data. The study found that during the study period, 12,830 mistakes were reported. Incorrect dosage accounted for 3,812 errors (29.7%), followed by incorrect medicine 2,086 (16.3%), and incorrect duration 765 (6.0%). Out of 5,282 incidents that affected the patient and had a known severity level, 12 resulted in fatalities, 4 led to severe harm, 45 caused moderate harm, 341 led to minor harm, and 4,880 resulted in no harm. The study concluded that the most frequently reported and damaging types of medication order errors were incorrect dose and incorrect medication orders.
AHRQ-funded; HS026121.
Citation: Grauer A, Rosen A, Applebaum JR .
Examining medication ordering errors using AHRQ network of patient safety databases.
J Am Med Inform Assoc 2023 Apr 19; 30(5):838-45. doi: 10.1093/jamia/ocad007..
Keywords: Medication, Adverse Drug Events (ADE), Adverse Events, Medical Errors, Patient Safety, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Medication: Safety
Pitts SI, Yang Y, Thomas B
Discontinuation of outpatient medications: implications for electronic messaging to pharmacies using CancelRx.
This study aimed to describe the proportion of discontinued outpatient medications that would result in a prescription discontinuation, or CancelRx message to understand its impact on medication safety. The authors used a data report to identify all outpatient medications discontinued in the electronic health record (EHR) of an academic health system in 1 month (October 2018). A total of 63,485 medications were discontinued, with 36.4% e-prescribed, 40.9% patient-reported or reconciled, and the remainder prescribed nonelectronically. Discontinued high-risk medications were more likely to be e-prescribed (47%). A discontinuation reason was specified in 58.9% of all discontinued medications. Approximately one-third to one-half of discontinued medications were e-prescribed within the same EHR that would result in a CancelRx message to the pharmacy. Extension of this functionality to reconciled medications in the EHR could significantly expand the impact of CancelRx on medication safety.
AHRQ-funded.
Citation: Pitts SI, Yang Y, Thomas B .
Discontinuation of outpatient medications: implications for electronic messaging to pharmacies using CancelRx.
J Am Med Inform Assoc 2022 Nov 14;29(12):2101-04. doi: 10.1093/jamia/ocac181..
Keywords: Medication, Provider: Pharmacist, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT)
Oke I, Badami A, Kosteva KL
Systemic barriers in receiving electronically prescribed glaucoma medications.
The purpose of this cross-sectional study was to quantify glaucoma medication treatment interruptions attributable to electronically prescribed medications and recommend interventions to reduce this barrier. The researchers reviewed Glaucoma medication refill requests received over a 6-week interval, and then contacted patient pharmacies 1 month after the request date to determine whether the medication was picked up by the patient. Patients who did not pick up the prescriptions were contacted and consented to participate in a survey to identify the barriers to getting the medications. The study found that a prior authorization requirement was significantly associated with patients not obtaining their medication, as well as insurance coverage (32.2%) and availability of the medication at the pharmacy (22.6%). The study concluded that due to the need for prior authorization, insurance coverage, and pharmacy availability, approximately one third of electronically prescribed glaucoma medications were not picked up by patients within one month of the refill request.
AHRQ-funded; HS000063.
Citation: Oke I, Badami A, Kosteva KL .
Systemic barriers in receiving electronically prescribed glaucoma medications.
J Glaucoma 2022 Oct;31(10):812-15. doi: 10.1097/ijg.0000000000002100..
Keywords: Medication, Patient Adherence/Compliance, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT)
Kandaswamy S, Grimes J, Hoffman D
Free-text computerized provider order entry orders used as workaround for communicating medication information.
The objectives of this study are to identify the most common medication names communicated in free-text CPOE orders and their risk levels, to identify what actions physicians expect that nurses will complete when they place free-text CPOE orders, and to describe differences in these patterns across hospitals. Findings showed that the prevalence of medication information in free-text CPOE orders may suggest specific communication challenges in respect to urgency, uncertainty, planning, and other aspects of communication and clinical needs. Recommendations included understanding and addressing communication challenges around commonly mentioned medication names and actions, especially those that are high risk, in order to help reduce the risk of medication errors.
AHRQ-funded; HS025136; HS024755.
Citation: Kandaswamy S, Grimes J, Hoffman D .
Free-text computerized provider order entry orders used as workaround for communicating medication information.
J Patient Saf 2022 Aug 1;18(5):430-34. doi: 10.1097/pts.0000000000000948..
Keywords: Electronic Prescribing (E-Prescribing), Medication, Health Information Technology (HIT)
Iqbal AR, Parau CA, Kazi S
Identifying electronic medication administration record (eMAR) usability issues from patient safety event reports.
This study investigated the contribution of usability challenges associated with the electronic medication administration record (eMAR) to medication errors using patient safety event reports (PSEs). The authors analyzed free-text descriptions of 849 medication-related PSEs selected from 2.3 million reports. Specific health IT components, usability challenge categories, and nuanced usability themes that contributed to each PSE were identified by coders. Usability challenges included workflow support, alerting, and display/visual clutter.
AHRQ-funded; HS025136.
Citation: Iqbal AR, Parau CA, Kazi S .
Identifying electronic medication administration record (eMAR) usability issues from patient safety event reports.
Jt Comm J Qual Patient Saf 2021 Dec;47(12):793-801. doi: 10.1016/j.jcjq.2021.09.004..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Medication, Medical Errors, Patient Safety
King CR, Abraham J, Fritz BA
Predicting self-intercepted medication ordering errors using machine learning.
Current approaches to understanding medication ordering errors rely on relatively small manually captured error samples. These approaches are resource-intensive, do not scale for computerized provider order entry (CPOE) systems, and are likely to miss important risk factors associated with medication ordering errors. Previously, the investigators described a dataset of CPOE-based medication voiding accompanied by univariable and multivariable regression analyses. In this paper, they updated the analysis using machine learning (ML) models to predict erroneous medication orders and identify its contributing factors.
AHRQ-funded; HS025443.
Citation: King CR, Abraham J, Fritz BA .
Predicting self-intercepted medication ordering errors using machine learning.
PLoS One 2021 Jul 14;16(7):e0254358. doi: 10.1371/journal.pone.0254358..
Keywords: Medication, Medical Errors, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Patient Safety, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT)
Kandaswamy S, Pruitt Z, Kazi S
Clinician perceptions on the use of free-text communication orders.
The aim of this study was to investigate (1) why ordering clinicians use free-text orders to communicate medication information; (2) what risks physicians and nurses perceive when free-text orders are used for communicating medication information; and (3) how electronic health records (EHRs) could be improved to encourage the safe communication of medication information. The investigators concluded that clinicians' use of free-text orders as a workaround to insufficient structured order entry can create unintended patient safety risks.
AHRQ-funded; HS025136; HS024755.
Citation: Kandaswamy S, Pruitt Z, Kazi S .
Clinician perceptions on the use of free-text communication orders.
Appl Clin Inform 2021 May;12(3):484-94. doi: 10.1055/s-0041-1731002..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Electronic Health Records (EHRs), Medication: Safety, Medication, Patient Safety, Communication, Provider: Clinician, Provider, Risk
Abraham J, Galanter WL, Touchette D
Risk factors associated with medication ordering errors.
This study’s goal was to collect data on “voided” orders in computerized order entry systems for medication to 1) identify the nature and characteristics of medication ordering errors; 2) investigate the risk factors associated with these errors and; 3) explore potential strategies to mitigate these risk factors. Data was collected using clinician interviews and surveys within 24 hours of the voided order and using chart reviews. During the 16-month study period 1074 medication orders were voided, with 842 being true medication errors. A total of 22% reached the patient, with at least a single administration, but without causing patient harm. Interviews were conducted on 355 voided orders (33%). Errors were associated with multiple factors not just a single risk factor. The causal contributors included a combination of technological-, cognitive-, environment-, social-, and organization-level factors.
AHRQ-funded; HS025443.
Citation: Abraham J, Galanter WL, Touchette D .
Risk factors associated with medication ordering errors.
J Am Med Inform Assoc 2021 Jan 15;28(1):86-94. doi: 10.1093/jamia/ocaa264..
Keywords: Medication: Safety, Electronic Prescribing (E-Prescribing), Medication: Safety, Medication, Medical Errors, Adverse Drug Events (ADE), Adverse Events, Risk, Health Information Technology (HIT), Patient Safety
Everson J, Cheng AK, Patrick SW
Association of electronic prescribing of controlled substances with opioid prescribing rates.
The purpose of this study was to assess the association between use of electronic prescribing of controlled substances (EPCS) and trends in opioid prescribing. Results suggested that an increased use of EPCS was not associated with decreased opioid prescribing or a decrease in the amount prescribed and may have been associated with a small increase in opioid prescribing. Recommendations included levers to ensure that EPCS is integrated with outside data and that information is actively used to inform prescribing decisions.
AHRQ-funded; HS026395.
Citation: Everson J, Cheng AK, Patrick SW .
Association of electronic prescribing of controlled substances with opioid prescribing rates.
JAMA Netw Open 2020 Dec;3(12):e2027951. doi: 10.1001/jamanetworkopen.2020.27951..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Opioids, Medication, Practice Patterns, Provider: Physician, Provider: Clinician, Provider
Holmgren AJ, Co Z, Newmark L
Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support.
The authors tested how well EHRs prevented medication errors with the potential for patient harm. Data from a national, longitudinal sample of 1527 hospitals in the US from 2009-16 who took a safety performance assessment test using simulated medication orders was used. The authors found that hospital medication order safety performance improved over time. They conclude that intentional quality improvement efforts appear to be a critical part of high safety performance and may indicate the importance of a culture of safety.
AHRQ-funded; HS023696.
Citation: Holmgren AJ, Co Z, Newmark L .
Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support.
BMJ Qual Saf 2020 Jan;29(1):52-59. doi: 10.1136/bmjqs-2019-009609..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Medication, Electronic Prescribing (E-Prescribing), Medication: Safety, Clinical Decision Support (CDS), Shared Decision Making
Adelman JS, Applebaum JR, Southern WN
Risk of wrong-patient orders among multiple vs singleton births in the neonatal intensive care units of 2 integrated health care systems.
Researchers assessed the risk of wrong-patient orders among multiple-birth infants and singletons receiving care in the NICU and examined the proportion of wrong-patient orders between multiple-birth infants and siblings (intrafamilial errors) and between multiple-birth infants and nonsiblings (extrafamilial errors). They found that multiple-birth status in the NICU is associated with significantly increased risk of wrong-patient orders compared with singleton-birth status. Strategies to reduce this risk include using given names at birth, changing from temporary to given names when available, and encouraging parents to select names for multiple births before they are born when acceptable to families.
AHRQ-funded; HS024538.
Citation: Adelman JS, Applebaum JR, Southern WN .
Risk of wrong-patient orders among multiple vs singleton births in the neonatal intensive care units of 2 integrated health care systems.
JAMA Pediatr 2019 Oct 10;173(10):979-85. doi: 10.1001/jamapediatrics.2019.2733..
Keywords: Newborns/Infants, Intensive Care Unit (ICU), Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Medication, Patient Safety, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT)
Bucher BT, Ferraro JP, Finlayson SRG
Use of computerized provider order entry events for postoperative complication surveillance.
The purpose of this study was to determine if a surveillance system using computerized provider order entry (CPOE) events for selected medications as well as laboratory, microbiologic, and radiologic orders can decrease the manual medical record review burden for surveillance of postoperative complications. Results showed that a CPOE-based surveillance of postoperative complications has high negative predictive value, demonstrating that this approach can augment the currently used, resource-intensive manual medical record review process.
AHRQ-funded; HS025776.
Citation: Bucher BT, Ferraro JP, Finlayson SRG .
Use of computerized provider order entry events for postoperative complication surveillance.
JAMA Surg 2019 Apr;154(4):311-18. doi: 10.1001/jamasurg.2018.4874..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Adverse Events, Surgery, Patient Safety
Lindau ST
CommunityRx, an e-prescribing system connecting people to community resources.
CommunityRx is an e-prescribing system that make it easier for patients in communities to connect with health resources. NowPow, LLC is an information technology enterprise that is part of CommunityRx. NowPow participated in AHRQ’s EvidenceNow grants program and worked with hundreds of small Midwestern primary care practices in the Healthy Hearts in the Heartland study. By 2018, over 1600 youths had been employed (many for the first-time) and generated annual asset census for Chicago, New York, and two rural areas of North Carolina. CommunityRx has been successful in providing health resource information to lower-income communities such as Chicago’s South Side. They also found that half of people who received a HealtheRx e-prescription use the information to help others.
AHRQ-funded; HS023921.
Citation: Lindau ST .
CommunityRx, an e-prescribing system connecting people to community resources.
Am J Public Health 2019 Apr;109(4):546-47. doi: 10.2105/ajph.2019.304986..
Keywords: Access to Care, Community-Based Practice, Electronic Prescribing (E-Prescribing), Evidence-Based Practice, Health Information Technology (HIT), Medication, Vulnerable Populations
Garabedian PM, Wright A, Newbury I
Comparison of a prototype for indications-based prescribing with 2 commercial prescribing systems.
The objective of this study was to evaluate, in comparison with the prescribing modules of 2 leading electronic health record prescribing systems, the efficiency, error rate, and satisfaction with a new computerized provider order entry prototype for the outpatient setting that allows clinicians to initiate prescribing using the indication. The investigators found that reengineering prescribing to start with the drug indication allowed indications to be captured in an easy and useful way, which may be associated with saved time and effort, reduced medication errors, and increased clinician satisfaction.
AHRQ-funded; HS023694.
Citation: Garabedian PM, Wright A, Newbury I .
Comparison of a prototype for indications-based prescribing with 2 commercial prescribing systems.
JAMA Netw Open 2019 Mar;2(3):e191514. doi: 10.1001/jamanetworkopen.2019.1514..
Keywords: Electronic Health Records (EHRs), Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Medication
Gabriel MH, Powers C, Encinosa W
AHRQ Author: Encinosa W
E-prescribing and adverse drug events: an observational study of the Medicare part D population with diabetes.
The researchers examined the impact of e-prescribing on emergency visits or hospitalizations for diabetes-related adverse drug events (ADEs) including hypoglycemia. They concluded that at the e-prescribing threshold of 75 percent and above, there were significant reductions in ADE risk.
AHRQ-authored.
Citation: Gabriel MH, Powers C, Encinosa W .
E-prescribing and adverse drug events: an observational study of the Medicare part D population with diabetes.
Med Care 2017 May;55(5):456-62. doi: 10.1097/mlr.0000000000000684.
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Keywords: Adverse Drug Events (ADE), Electronic Prescribing (E-Prescribing), Diabetes, Medicare, Medication
Adams KT, Howe JL, Fong A
An analysis of patient safety incident reports associated with electronic health record interoperability.
The study’s objectives were to (1) identify patient safety incident reports that reflect EHR interoperability challenges with other health IT, and (2) perform a detailed analysis of these reports. It found that the majority of EHR interoperability patient safety event (PSE) reports involved interfacing with pharmacy systems (i.e. medication related), followed by laboratory, and radiology. Most of the interoperability challenges in these clinical areas were associated with the EHR receiving information from other health IT systems.
AHRQ-funded; HS023701.
Citation: Adams KT, Howe JL, Fong A .
An analysis of patient safety incident reports associated with electronic health record interoperability.
Appl Clin Inform 2017 Feb;8(2):593-602. doi: 10.4338/ACI-2017-01-RA-0014.
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Keywords: Healthcare Delivery, Electronic Health Records (EHRs), Electronic Prescribing (E-Prescribing), Medication: Safety, Patient Safety
Beeler PE, Orav EJ, Seger DL
Provider variation in responses to warnings: do the same providers run stop signs repeatedly?
Variation in the use of tests and treatments has been demonstrated to be substantial between providers and geographic regions. This study assessed variation between outpatient providers in overriding electronic prescribing warnings. It concluded that the decision to override prescribing warnings shows variation between providers, and the magnitude of variation differs among the clinical domains of the warnings; more variation was observed in areas with more inappropriate overrides.
AHRQ-funded; HS021094.
Citation: Beeler PE, Orav EJ, Seger DL .
Provider variation in responses to warnings: do the same providers run stop signs repeatedly?
J Am Med Inform Assoc 2016 Apr;23(e1):e93-8. doi: 10.1093/jamia/ocv117.
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Keywords: Adverse Drug Events (ADE), Electronic Prescribing (E-Prescribing), Medication: Safety, Medical Errors, Practice Patterns
Powers C, Gabriel MH, Encinosa W
AHRQ Author: Encinosa W
Meaningful use stage 2 e-prescribing threshold and adverse drug events in the Medicare Part D population with diabetes.
The authors investigated whether physicians who meet the meaningful use stage 2 threshold for e-prescribing (50 percent of prescriptions e-prescribed) have lower rates of ADEs among their diabetic patients. They found that physician e-prescribing to Medicare beneficiaries was associated with reduced risk of ADEs among their diabetes patients, as were several prescriber and panel characteristics.
AHRQ-authored
Citation: Powers C, Gabriel MH, Encinosa W .
Meaningful use stage 2 e-prescribing threshold and adverse drug events in the Medicare Part D population with diabetes.
J Am Med Inform Assoc 2015 Sep;22(5):1094-8. doi: 10.1093/jamia/ocv036..
Keywords: Electronic Prescribing (E-Prescribing), Diabetes, Medication, Patient Safety
Abbott AA, Fuji KT, Galt KA
A qualitative case study exploring nurse engagement with electronic health records and e-prescribing.
The purpose of this qualitative case study was to describe how nurses adapt to using an electronic health record with electronic prescribing (e-Rx) system in a rural ambulatory care practice. Findings showed that nurses adjust their routine in response to providers' preferential behavior yet retained focus on the patient and care coordination. e-Rx adoption increased workload and introduced safety risks.
AHRQ-funded; HS018625.
Citation: Abbott AA, Fuji KT, Galt KA .
A qualitative case study exploring nurse engagement with electronic health records and e-prescribing.
West J Nurs Res 2015 Jul;37(7):935-51. doi: 10.1177/0193945914567359.
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Keywords: Case Study, Electronic Health Records (EHRs), Electronic Prescribing (E-Prescribing), Nursing, Patient Safety
Joseph S, Sow M, Furukawa MF
AHRQ Author: Furukawa MF
HITECH spurs EHR vendor competition and innovation, resulting in increased adoption.
This study examined the impact of the Health Information Technology for Economic and Clinical Health Act (HITECH). It found increased provider adoption and also provides the first evidence of increased competitiveness and innovation in the electronic health records industry spurred by HITECH.
AHRQ-authored
Citation: Joseph S, Sow M, Furukawa MF .
HITECH spurs EHR vendor competition and innovation, resulting in increased adoption.
Am J Manag Care. 2014 Sep;20(9):734-40..
Keywords: Health Information Technology (HIT), Healthcare Costs, Electronic Prescribing (E-Prescribing), Electronic Health Records (EHRs)
Pevnick JM, Li N, Asch SM
Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence.
The researchers evaluated whether formulary decision support (FDS) could reduce patient medication costs, and thereby improve adherence. In the studied population, interruptive FDS shifted prescribing toward preferred tier medications, but these medications were only minimally less expensive for patients. Thus, FDS did not significantly increase adherence.
AHRQ-funded; HS016391.
Citation: Pevnick JM, Li N, Asch SM .
Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence.
BMC Med Inform Decis Mak 2014;14:79. doi: 10.1186/1472-6947-14-79..
Keywords: Electronic Prescribing (E-Prescribing), Medication, Patient Adherence/Compliance, Clinical Decision Support (CDS), Health Information Technology (HIT)
Bergeron AR, Webb JR, Serper M
Impact of electronic prescribing on medication use in ambulatory care.
This study investigated differences before and after rollout of electronic prescribing (e-prescribing) in (1) patients’ primary adherence to newly prescribed medications, (2) patients' understanding of how to use their medications, and (3) multiple pharmacy use. It found an increase in abandoned prescriptions immediately following the implementation of e-prescribing. However, with time, these issues were resolved and even improved to rates lower than baseline.
AHRQ-funded; HS017220.
Citation: Bergeron AR, Webb JR, Serper M .
Impact of electronic prescribing on medication use in ambulatory care.
Am J Manag Care 2013 Dec;19(12):1012-7..
Keywords: Electronic Prescribing (E-Prescribing), Ambulatory Care and Surgery, Patient Adherence/Compliance, Medication
Abramson EL, Pfoh ER, Barron Y
The effects of electronic prescribing by community-based providers on ambulatory medication safety.
This study was conducted to assess the effect of implementing a commercial electronic health record with e-prescribing on rates and types of prescribing errors. Use of e-prescribing resulted in relatively low error rates (6.0 errors per 100 prescriptions). These rates were sustained over time but without further improvement (6.0 versus 4.5 errors per 100) prescriptions).
AHRQ-funded; HS016970.
Citation: Abramson EL, Pfoh ER, Barron Y .
The effects of electronic prescribing by community-based providers on ambulatory medication safety.
Jt Comm J Qual Patient Saf 2013 Dec;39(12):545-52..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Medication: Safety, Medication, Electronic Health Records (EHRs)