National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (1)
- Antibiotics (1)
- Antimicrobial Stewardship (1)
- Asthma (1)
- Children/Adolescents (1)
- Clinical Decision Support (CDS) (2)
- Clinician-Patient Communication (1)
- Communication (1)
- Diabetes (1)
- Electronic Health Records (EHRs) (1)
- (-) Health Information Technology (HIT) (7)
- Health Services Research (HSR) (1)
- Hospital Discharge (1)
- Inpatient Care (1)
- Medical Errors (1)
- (-) Medication (7)
- Medication: Safety (1)
- Patient Adherence/Compliance (2)
- Patient Safety (1)
- Practice Patterns (1)
- Primary Care (1)
- Quality of Care (1)
- Research Methodologies (1)
- Respiratory Conditions (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
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 DisplayedHer QL, Amato MG, Seger DL
The frequency of inappropriate nonformulary medication alert overrides in the inpatient setting.
The purpose of this study was to quantify the frequency of inappropriate nonformulary medication (NFM) alert overrides in the inpatient setting and provide insight on how the design of formulary alerts could be improved. The study found that approximately 1 in 5 NFM alert overrides are overridden inappropriately.
AHRQ-funded; HS021094.
Citation: Her QL, Amato MG, Seger DL .
The frequency of inappropriate nonformulary medication alert overrides in the inpatient setting.
J Am Med Inform Assoc 2016 Sep;23(5):924-33. doi: 10.1093/jamia/ocv181..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Inpatient Care, Medication, Patient Safety
Smith KJ, Handler SM, Kapoor WN
Automated communication tools and computer-based medication reconciliation to decrease hospital discharge medication errors.
This study examines a health care system’s implementation of a broader set of automated primary care physician communication tools, including computerized medication reconciliation, and its impact on discharge medication errors. It found that implementation of automated health system–based tools, including computerized discharge medication reconciliation, decreased hospital discharge medication errors in medically complex patients.
AHRQ-funded; HS018151.
Citation: Smith KJ, Handler SM, Kapoor WN .
Automated communication tools and computer-based medication reconciliation to decrease hospital discharge medication errors.
Am J Med Qual 2016 Jul;31(4):315-22. doi: 10.1177/1062860615574327..
Keywords: Health Information Technology (HIT), Communication, Medication, Medical Errors, Hospital Discharge
Johnson KB, Patterson BL, Ho YX
The feasibility of text reminders to improve medication adherence in adolescents with asthma.
The goal of this study was to assess the impact of MyMediHealth (MMH) - a website and a short messaging service (SMS)-based reminder system - on medication adherence and perceived self-efficacy in adolescents with asthma. The investigators found that MMH was associated with improved medication adherence, perceived quality of life, and self-efficacy.
AHRQ-funded; HS018168.
Citation: Johnson KB, Patterson BL, Ho YX .
The feasibility of text reminders to improve medication adherence in adolescents with asthma.
J Am Med Inform Assoc 2016 May;23(3):449-55. doi: 10.1093/jamia/ocv158..
Keywords: Asthma, Children/Adolescents, Health Information Technology (HIT), Medication, Patient Adherence/Compliance
Gidengil CA, Linder JA, Beach S
Using clinical vignettes to assess quality of care for acute respiratory infections.
Overprescribing of antibiotics for acute respiratory infections (ARIs) is common. The objective of this study was to develop and validate a vignette-based method to estimate clinician ARI antibiotic prescribing. The researchers concluded that responses to 3 clinical vignettes can identify clinicians with relatively poor quality ARI antibiotic prescribing. Vignettes may be a mechanism to target clinicians for quality improvement efforts.
AHRQ-funded; HS018419.
Citation: Gidengil CA, Linder JA, Beach S .
Using clinical vignettes to assess quality of care for acute respiratory infections.
Inquiry 2016 Apr 20;53:pii: 0046958016636531. doi: 10.1177/0046958016636531..
Keywords: Antibiotics, Antimicrobial Stewardship, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Medication, Practice Patterns, Primary Care, Quality of Care, Respiratory Conditions
Tilson H, Hines LE, McEvoy G
AHRQ Author: Helwig AL
Recommendations for selecting drug-drug interactions for clinical decision support.
A work group consisting of 20 experts in pharmacology, drug information, and clinical decision support (CDS) from academia, government agencies, health information vendors, and healthcare organizations was convened. It recommended a transparent, systematic, and evidence-driven process with graded recommendations by a consensus panel of experts and oversight by a national organization.
AHRQ-authored.
Citation: Tilson H, Hines LE, McEvoy G .
Recommendations for selecting drug-drug interactions for clinical decision support.
Am J Health Syst Pharm 2016 Apr 15;73(8):576-85. doi: 10.2146/ajhp150565.
.
.
Keywords: Clinical Decision Support (CDS), Adverse Drug Events (ADE), Medication: Safety, Medication, Health Information Technology (HIT)
Wong AF, Pielmeier U, Haug PJ
An in silico method to identify computer-based protocols worthy of clinical study: an insulin infusion protocol use case.
In this paper, the authors compared two existing computer-based insulin infusion protocols: eProtocol-insulin from Utah, USA, and Glucosafe from Denmark. They concluded that preclinical in silico comparison analytical framework allows rapid and inexpensive identification of computer-based protocol care strategies that justify expensive and burdensome clinical trials.
AHRQ-funded; HS006594.
Citation: Wong AF, Pielmeier U, Haug PJ .
An in silico method to identify computer-based protocols worthy of clinical study: an insulin infusion protocol use case.
J Am Med Inform Assoc 2016 Mar;23(2):283-8. doi: 10.1093/jamia/ocv067.
.
.
Keywords: Health Information Technology (HIT), Medication, Research Methodologies
Gatwood J, Balkrishnan R, Erickson SR
The impact of tailored text messages on health beliefs and medication adherence in adults with diabetes: a randomized pilot study.
The purpose of this pilot study was to test the effectiveness of tailored text messages focusing on improving medication adherence and health beliefs in adults with diabetes. It found that declines in medication adherence were observed in both groups over time but no significant differences were observed between groups or from baseline to the end of the active study period.
AHRQ-funded; HS021976.
Citation: Gatwood J, Balkrishnan R, Erickson SR .
The impact of tailored text messages on health beliefs and medication adherence in adults with diabetes: a randomized pilot study.
Res Social Adm Pharm 2016 Jan-Feb;12(1):130-40. doi: 10.1016/j.sapharm.2015.04.007.
.
.
Keywords: Diabetes, Medication, Patient Adherence/Compliance, Health Information Technology (HIT), Clinician-Patient Communication