National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (2)
- Adverse Events (1)
- Ambulatory Care and Surgery (3)
- Behavioral Health (1)
- Blood Pressure (1)
- Burnout (1)
- Cancer (1)
- Cardiovascular Conditions (1)
- Care Coordination (1)
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Children's Health Insurance Program (CHIP) (1)
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- Chronic Conditions (3)
- Clinical Decision Support (CDS) (4)
- Clinician-Patient Communication (3)
- Community-Based Practice (1)
- Data (1)
- Decision Making (3)
- Depression (1)
- Diabetes (5)
- Diagnostic Safety and Quality (1)
- (-) Electronic Health Records (EHRs) (44)
- Electronic Prescribing (E-Prescribing) (1)
- Emergency Department (3)
- Emergency Medical Services (EMS) (2)
- Genetics (1)
- Healthcare-Associated Infections (HAIs) (1)
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- Healthcare Utilization (1)
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- Health Information Technology (HIT) (33)
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- Patient Self-Management (1)
- Practice-Based Research Network (PBRN) (1)
- Practice Patterns (1)
- Prevention (3)
- Primary Care (8)
- Provider (1)
- Provider: Clinician (1)
- Provider: Physician (1)
- Quality Improvement (2)
- Quality Indicators (QIs) (1)
- Quality Measures (4)
- Quality of Care (5)
- Racial and Ethnic Minorities (1)
- Research Methodologies (1)
- Uninsured (1)
- Urinary Tract Infection (UTI) (1)
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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
26 to 44 of 44 Research Studies DisplayedHirsch AG, Scheck McAlearney A
Measuring diabetes care performance using electronic health record data: the impact of diabetes definitions on performance measure outcomes.
The authors examined the use of electronic health record (EHR) data for diabetes performance measurement. They found that diabetes performance measures are influenced by the data elements used to identify patients. They recommended that as EHR data are used increasingly to measure performance, continuing to improve our understanding of how EHR data are collected and used will be critical.
AHRQ-funded; HS020165.
Citation: Hirsch AG, Scheck McAlearney A .
Measuring diabetes care performance using electronic health record data: the impact of diabetes definitions on performance measure outcomes.
Am J Med Qual 2014 Jul-Aug;29(4):292-9. doi: 10.1177/1062860613500808.
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Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Measures
Schmittdiel JA, Raebel MA, Dyer W
Prescription medication burden in patients with newly diagnosed diabetes: a SUrveillance, PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) study.
The purpose of this study is to use electronic health records to examine how many classes of drugs are used by newly diagnosed patients with diabetes immediately before and after the diagnosis of diabetes. Before diagnosis, these patients are using an average of 5 drug classes, and afterwards, use rises to an average of 6.6. Between 2005 and 2009, the average number of drug classes used after diagnosis decreased slightly.
AHRQ-funded; HS01985
Citation: Schmittdiel JA, Raebel MA, Dyer W .
Prescription medication burden in patients with newly diagnosed diabetes: a SUrveillance, PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) study.
J Am Pharm Assoc 2014 Jul-Aug;54(4):374-82. doi: 10.1331/JAPhA.2014.13195..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diabetes, Medication
Keenan GM, Wilkie DJ
Integration of NNN into EHRS: how are we doing?: IJNK virtual issue.
This commentary introduces a virtual edition of IJNK, hosted on the Journal’s website. It includes six articles published in the last 20 years that provide a snapshot of efforts to integrate one or more of the standardized terminologies, NANDA-I, NOC, NIC (NNN), into electronic health records (EHRs).
AHRQ-funded; HS015054.
Citation: Keenan GM, Wilkie DJ .
Integration of NNN into EHRS: how are we doing?: IJNK virtual issue.
Int J Nurs Knowl 2014 Jun;25(2):68-9. doi: 10.1111/2047-3095.12039..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Research Methodologies
Wang JJ, Winther CH, Cha J
Patient-centered medical home and quality measurement in small practices.
In this retrospective cohort study, the investigators sought to assess performance on quality measures among small primary care practices that recently adopted an electronic health record (EHR), and how performance differs between practices that have achieved patient-centered medical home (PCMH) recognition and those that have not. They found that among small practices that have adopted EHRs, practices with PCMH recognition consistently outperformed practices without recognition on 5 out of 7 clinical quality measures over the 2-year study period.
AHRQ-funded; HS019164.
Citation: Wang JJ, Winther CH, Cha J .
Patient-centered medical home and quality measurement in small practices.
Am J Manag Care 2014 Jun;20(6):481-9.
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Keywords: Electronic Health Records (EHRs), Quality of Care, Patient-Centered Healthcare, Primary Care, Quality Measures
Ancker JS, Silver M, Kaushal R
Rapid growth in use of personal health records in New York, 2012-2013.
In this study, the investigators sought to estimate the rate of adoption of personal health records (PHRs) over a 2-year period. They found that the proportion of New York State residents using PHRs increased by more than 50 % (from 11 to 17 %) in advance of a federal incentive program requirement that healthcare organizations with EHRs must share electronic data with patients in order to receive their incentives.
AHRQ-funded; HS021531.
Citation: Ancker JS, Silver M, Kaushal R .
Rapid growth in use of personal health records in New York, 2012-2013.
J Gen Intern Med 2014 Jun;29(6):850-4. doi: 10.1007/s11606-014-2792-2..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT)
Hsiao CJ, Hing E, Ashman J
AHRQ Author: Hsiao CJ
Trends in electronic health record system use among office-based physicians: United States, 2007-2012.
The authors used National Ambulatory Medical Care Survey (NAMCS) data to present trends in the adoption of electronic health records (EHRs) by office-based physicians during 2007-2012. They found that the difference in adoption of a fully functional EHR system between physicians in practices with 11 or more physicians compared with solo practitioners was 10.4 percentage points in 2007; the gap widened to 30.6 percentage points in 2012.
AHRQ-authored.
Citation: Hsiao CJ, Hing E, Ashman J .
Trends in electronic health record system use among office-based physicians: United States, 2007-2012.
Natl Health Stat Report. 2014 May 20;(75):1-18..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Ambulatory Care and Surgery
Ant Ozok A, Wu H, Garrido M
Usability and perceived usefulness of personal health records for preventive health care: a case study focusing on patients' and primary care providers' perspectives.
The purpose of this study was to evaluate the usefulness of a specific patient-centered information technology (Personal Health Record) in improving awareness (for the patients) and compliance with (for both patients and providers) preventive care guidelines. The results were that patients found the tailored health recommendations useful and the PHR easy to understand and use.
AHRQ-funded; HS018762
Citation: Ant Ozok A, Wu H, Garrido M .
Usability and perceived usefulness of personal health records for preventive health care: a case study focusing on patients' and primary care providers' perspectives.
Appl Ergon. 2014 May;45(3):613-28. doi: 10.1016/j.apergo.2013.09.005..
Keywords: Electronic Health Records (EHRs), Quality of Care, Prevention, Primary Care, Web-Based
Kirkendall ES, Spires WL, Mottes TA
Development and performance of electronic acute kidney injury triggers to identify pediatric patients at risk for nephrotoxic medication-associated harm.
The authors described an approach and provided a technical framework for the creation of risk-stratifying acute kidney injury (AKI) triggers and the development of an application to manage the AKI trigger data. Their report summarizes the construction of a trigger-based application, the performance of the triggers, and the challenges uncovered during the design, build, and implementation of the system.
AHRQ-funded; HS021114.
Citation: Kirkendall ES, Spires WL, Mottes TA .
Development and performance of electronic acute kidney injury triggers to identify pediatric patients at risk for nephrotoxic medication-associated harm.
Appl Clin Inform 2014 Apr 2;5(2):313-33. doi: 10.4338/aci-2013-12-ra-0102.
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Keywords: Adverse Drug Events (ADE), Children/Adolescents, Medication, Health Information Technology (HIT), Electronic Health Records (EHRs)
Sockolow PS, Bowles KH, Rogers M
Opportunities in interdisciplinary care team adoption of electronic point-of-care documentation systems.
The authors conducted three evaluation studies in community and hospital settings to examine point-of-care documentation system adoption among interdisciplinary care team clinicians. At all sites, mismatch between system functionality and workflow was a barrier to clinician system access during patient care and reduced clinician efficiency; however, clinicians were satisfied with their ability to access other clinicians’ notes, without increased interdisciplinary team communication.
AHRQ-funded; HS021008.
Citation: Sockolow PS, Bowles KH, Rogers M .
Opportunities in interdisciplinary care team adoption of electronic point-of-care documentation systems.
Stud Health Technol Inform 2014;201:371-9..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Care Coordination
Blecker S, Goldfeld K, Park N
Electronic health record use, intensity of hospital care, and patient outcomes.
The purpose of this study was to determine whether a metric for measuring intensity of hospital care based on use of the electronic health record was associated with patient-level outcomes. The investigators found that intensity of inpatient care, measured by electronic health record interactions, significantly diminished from Friday to Saturday, and this decrease was associated with length of stay.
AHRQ-funded; HS023683.
Citation: Blecker S, Goldfeld K, Park N .
Electronic health record use, intensity of hospital care, and patient outcomes.
Am J Med 2014 Mar;127(3):216-21. doi: 10.1016/j.amjmed.2013.11.010..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Inpatient Care
Babbott S, Manwell LB, Brown R
Electronic medical records and physician stress in primary care: results from the MEMO Study.
In this paper, the investigators assessed relationships between the number of EMR functions, primary care work conditions, and physician satisfaction, stress and burnout. The authors concluded that stress may rise for physicians with a moderate number of EMR functions; they found that time pressure was associated with poor physician outcomes mainly in the high EMR cluster.
AHRQ-funded; HS011955.
Citation: Babbott S, Manwell LB, Brown R .
Electronic medical records and physician stress in primary care: results from the MEMO Study.
J Am Med Inform Assoc 2014 Feb;21(e1):e100-6. doi: 10.1136/amiajnl-2013-001875..
Keywords: Burnout, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care, Provider: Clinician, Provider: Physician
Sockolow PS, Bowles KH, Adelsberger MC
Challenges and facilitators to adoption of a point-of-care electronic health record in home care.
In order to identify challenges to the adoption of electronic health records (EHR) in the home care setting, the researchers assessed clinician satisfaction, informed by workflow and patient outcomes. Using a combination of surveys, observations, and interviews in an agency with 137 clinicians, the researchers found that adoption challenges included: (a) hardware problems coupled with lack of field support; (b) inadequate training; and (c) mismatch of EHR usability/functionality and workflow.
AHRQ-funded; HS021008.
Citation: Sockolow PS, Bowles KH, Adelsberger MC .
Challenges and facilitators to adoption of a point-of-care electronic health record in home care.
Home Health Care Serv Q 2014;33(1):14-35. doi: 10.1080/01621424.2013.870098..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Home Healthcare
James KA, Fernald DH, Huff J
AHRQ Author: Ricciardi R
GAPS in implementing health assessments in primary care: a literature review.
The authors conducted a systematic review of literature about health assessments in ambulatory and primary care. They found that training and standardization of practice workflows improves implementation of health assessments, but gaps remain on identification and selection of health assessments, integration with electronic health records, and optimal intervals of health assessments administration.
AHRQ-authored; AHRQ-funded; 29020071008.
Citation: James KA, Fernald DH, Huff J .
GAPS in implementing health assessments in primary care: a literature review.
J Ambul Care Manage 2014 Jan-Mar;37(1):2-10. doi: 10.1097/jac.0000000000000000.
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Keywords: Electronic Health Records (EHRs), Health Status, Ambulatory Care and Surgery, Primary Care, Practice Patterns
Sockolow PS, Bowles KH, Adelsberger MC
Impact of homecare electronic health record on timeliness of clinical documentation, reimbursement, and patient outcomes.
The study objective was to assess the impact of attaining efficiency and health goals of a point-of-care EHR in home care. To realize this objective, the researchers compared clinical documentation workflow, financial time-to-billing and patient physiological and behavioral outcomes to evaluate its impact. The findings indicate that EHR use significantly improved the timeliness of clinical documentation and billing for reimbursement but had limited impact on improving patient outcomes.
AHRQ-funded; HS021008.
Citation: Sockolow PS, Bowles KH, Adelsberger MC .
Impact of homecare electronic health record on timeliness of clinical documentation, reimbursement, and patient outcomes.
Appl Clin Inform 2014;5(2):445-62. doi: 10.4338/aci-2013-12-ra-0106..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Home Healthcare
Fuji KT, Abbott AA, Galt KA
Personal health record design: qualitative exploration of issues inhibiting optimal use.
Few studies have examined the barriers to personal health record (PHR) use resulting from design issues identified by actual users. The researchers conducted interviews with 59 patients who had received training in using Microsoft Health Vault for PHRs to manage their diabetes-related health information. Three barriers to use (difficulty of use, lack of value, life got in the way) could be traced back to PHR design considerations.
AHRQ-funded; HS018625.
Citation: Fuji KT, Abbott AA, Galt KA .
Personal health record design: qualitative exploration of issues inhibiting optimal use.
Diabetes Care 2014;37(1):e13-4. doi: 10.2337/dc13-1630..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Self-Management
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care
Yoon S, Taha B, Bakken S
Using a data mining approach to discover behavior correlates of chronic disease: a case study of depression.
The purposes of this methodological paper are: 1) to describe data mining methods for building a classification model for a chronic disease using a U.S. behavior risk factor data set, and 2) to illustrate application of the methods using a case study of depressive disorder. Its application of data mining strategies identified childhood experience living with mentally ill and sexual abuse, and limited usual activity as the strongest correlates of depression among hundreds of variables.
AHRQ-funded; HS019853; HS022961.
Citation: Yoon S, Taha B, Bakken S .
Using a data mining approach to discover behavior correlates of chronic disease: a case study of depression.
Stud Health Technol Inform 2014;201:71-8..
Keywords: Chronic Conditions, Behavioral Health, Depression, Health Information Technology (HIT), Electronic Health Records (EHRs)
Lawrence JM, Black MH, Zhang JL
Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
The researchers explored the utility of different algorithms for diabetes case identification by using electronic health records. They found that case identification accuracy was highest in 75% of bootstrapped samples for those who had 1 or more outpatient diabetes diagnoses or 1 or more insulin prescriptions and in 25% of samples for those who had 2 or more outpatient diabetes diagnoses and 1 or more antidiabetic medications.
AHRQ-funded; HS019859.
Citation: Lawrence JM, Black MH, Zhang JL .
Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
Am J Epidemiol 2014 Jan;179(1):27-38. doi: 10.1093/aje/kwt230..
Keywords: Children/Adolescents, Diabetes, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality