National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (1)
- Adverse Events (1)
- Arthritis (1)
- Brain Injury (1)
- Clinical Decision Support (CDS) (2)
- Communication (1)
- Data (1)
- Education: Patient and Caregiver (1)
- Electronic Health Records (EHRs) (3)
- Emergency Department (1)
- (-) Health Information Technology (HIT) (6)
- Medical Errors (1)
- Medication (1)
- Patient-Centered Healthcare (2)
- Patient-Centered Outcomes Research (1)
- Patient Safety (2)
- Provider (1)
- Provider: Nurse (1)
- Provider: Physician (1)
- (-) Shared Decision Making (6)
- Surgery (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 6 of 6 Research Studies DisplayedMelnick ER, Hess EP, Guo G
Patient-centered decision support: formative usability evaluation of integrated clinical decision support with a patient decision aid for minor head injury in the emergency department.
The study’s objective was to formatively evaluate an electronic tool that not only helps clinicians at the bedside to determine the need for CT use based on the Canadian CT Head Rule but also promotes evidence-based conversations between patients and clinicians regarding patient-specific risk and patients' specific concerns. It concluded that the Concussion or Brain Bleed app is a useful and usable final product integrating clinical decision support with a patient decision aid.
AHRQ-funded; HS021271.
Citation: Melnick ER, Hess EP, Guo G .
Patient-centered decision support: formative usability evaluation of integrated clinical decision support with a patient decision aid for minor head injury in the emergency department.
J Med Internet Res 2017 May 19;19(5):e174. doi: 10.2196/jmir.7846.
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Keywords: Brain Injury, Shared Decision Making, Emergency Department, Health Information Technology (HIT), Patient-Centered Healthcare
Zikmund-Fisher BJ, Scherer AM, Witteman HO
Graphics help patients distinguish between urgent and non-urgent deviations in laboratory test results.
Most electronic health record systems provide laboratory test results to patients in table format. Researchers tested whether presenting such results in visual displays (number lines) could improve understanding. They found that visual displays reduced respondents' perceived urgency and desire to contact health care providers immediately for near-normal test results compared to tables but did not affect their perceptions of extreme values.
AHRQ-funded; HS021681.
Citation: Zikmund-Fisher BJ, Scherer AM, Witteman HO .
Graphics help patients distinguish between urgent and non-urgent deviations in laboratory test results.
J Am Med Inform Assoc 2017 May 1;24(3):520-28. doi: 10.1093/jamia/ocw169.
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Keywords: Communication, Education: Patient and Caregiver, Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT)
LeRouge C, Hasselquist MB, Kellogg L
Using heuristic evaluation to enhance the visual display of a provider dashboard for patient-reported outcomes.
A human-centered design (HCD) approach to understanding the data visualization needs for patient-reported outcomes (PRO) in clinical practice can optimize the visual design of an interactive PRO system. Beyond iterative methods, the authors explored the additive value of other HCD methods such as heuristic evaluation. Their evaluation led to several recommendations to improve the display, accessibility, and interpretability of the dashboard’s data.
AHRQ-funded; HS023785.
Citation: LeRouge C, Hasselquist MB, Kellogg L .
Using heuristic evaluation to enhance the visual display of a provider dashboard for patient-reported outcomes.
eGEMS 2017 Apr 20;5(2):Article 6. doi: 10.13063/2327-9214.1283.
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Keywords: Patient-Centered Healthcare, Patient-Centered Outcomes Research, Health Information Technology (HIT), Data, Shared Decision Making
Zheng H, Tulu B, Choi W
Using mHealth app to support treatment decision-making for knee arthritis: patient perspective.
The authors explored patient preferences on content and design of a mobile health app to facilitate daily symptom capture and summary feedback reporting, in order to inform treatment decisions, including use of total knee replacement surgery (TKR). The authors suggest that user input can inform the design and implementation of mHealth technology to meet patient needs for their treatment decisions. Patient priorities must be considered through patient-centered app design.
AHRQ-funded; HS018910.
Citation: Zheng H, Tulu B, Choi W .
Using mHealth app to support treatment decision-making for knee arthritis: patient perspective.
eGEMS 2017 Apr 20;5(2):7. doi: 10.13063/2327-9214.1284..
Keywords: Arthritis, Shared Decision Making, Health Information Technology (HIT), Surgery
Ancker JS, Edwards A, Nosal S
Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.
In this study, the investigators tested hypotheses arising from two possible alert fatigue mechanisms: (A) cognitive overload associated with amount of work, complexity of work, and effort distinguishing informative from uninformative alerts, and (B) desensitization from repeated exposure to the same alert over time. The investigators found that clinicians became less likely to accept alerts as they received more of them, particularly more repeated alerts. There was no evidence of an effect of workload per se, or of desensitization over time for a newly deployed alert.
AHRQ-funded; HS021531.
Citation: Ancker JS, Edwards A, Nosal S .
Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.
BMC Med Inform Decis Mak 2017 Apr 10;17(1):1-9. doi: 10.1186/s12911-017-0430-8..
Keywords: Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Provider, Provider: Nurse, Provider: Physician
Horsky J, Aarts J, Verheul L
Clinical reasoning in the context of active decision support during medication prescribing.
The purpose of this study was to describe and analyze reasoning patterns of clinicians responding to drug-drug interaction alerts in order to understand the role of patient-specific information in the decision-making process about the risks and benefits of medication therapy. The investigators found that declining an alert suggestion was preceded by sometimes brief but often complex reasoning, prioritizing different aspects of care quality and safety, especially when the perceived risk was higher.
AHRQ-funded; HS021094.
Citation: Horsky J, Aarts J, Verheul L .
Clinical reasoning in the context of active decision support during medication prescribing.
Int J Med Inform 2017 Jan;97:1-11. doi: 10.1016/j.ijmedinf.2016.09.004..
Keywords: Adverse Drug Events (ADE), Adverse Events, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Medication, Patient Safety