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
- Access to Care (1)
- Adverse Drug Events (ADE) (36)
- Adverse Events (41)
- Alcohol Use (2)
- Ambulatory Care and Surgery (24)
- Antibiotics (2)
- Antimicrobial Stewardship (1)
- Anxiety (1)
- Arthritis (6)
- Asthma (7)
- Autism (4)
- Back Health and Pain (1)
- Behavioral Health (16)
- Blood Clots (2)
- Blood Pressure (9)
- Blood Thinners (5)
- Brain Injury (1)
- Breast Feeding (1)
- Burnout (9)
- Cancer (24)
- Cancer: Breast Cancer (1)
- Cancer: Colorectal Cancer (1)
- Cancer: Lung Cancer (4)
- Cancer: Prostate Cancer (1)
- Cardiovascular Conditions (17)
- Care Coordination (10)
- Caregiving (14)
- Care Management (10)
- Case Study (1)
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Centers for Education and Research on Therapeutics (CERTs) (2)
- Central Line-Associated Bloodstream Infections (CLABSI) (1)
- Children's Health Insurance Program (CHIP) (4)
- Children/Adolescents (61)
- Chronic Conditions (30)
- Clinical Decision Support (CDS) (39)
- Clinician-Patient Communication (34)
- Clostridium difficile Infections (2)
- Communication (40)
- Community-Acquired Infections (1)
- Community-Based Practice (10)
- Comparative Effectiveness (7)
- COVID-19 (10)
- Critical Care (9)
- Cultural Competence (2)
- Data (31)
- Decision Making (31)
- Dementia (4)
- Dental and Oral Health (1)
- Depression (6)
- Diabetes (32)
- Diagnostic Safety and Quality (51)
- Digestive Disease and Health (1)
- Disabilities (1)
- Disparities (10)
- Domestic Violence (1)
- Ear Infections (1)
- Education: Continuing Medical Education (4)
- Education: Patient and Caregiver (17)
- Elderly (26)
- (-) Electronic Health Records (EHRs) (729)
- Electronic Prescribing (E-Prescribing) (7)
- Emergency Department (35)
- Emergency Medical Services (EMS) (5)
- Emergency Preparedness (1)
- Evidence-Based Practice (22)
- Falls (3)
- Family Health and History (1)
- Genetics (4)
- Guidelines (3)
- Healthcare-Associated Infections (HAIs) (12)
- Healthcare Cost and Utilization Project (HCUP) (3)
- Healthcare Costs (2)
- Healthcare Delivery (30)
- Healthcare Utilization (7)
- Health Information Exchange (HIE) (21)
- Health Information Technology (HIT) (597)
- Health Insurance (7)
- Health Literacy (12)
- Health Promotion (1)
- Health Services Research (HSR) (21)
- Health Status (3)
- Health Systems (10)
- Heart Disease and Health (13)
- Hepatitis (1)
- Home Healthcare (10)
- Hospital Discharge (2)
- Hospitalization (14)
- Hospital Readmissions (12)
- Hospitals (38)
- Human Immunodeficiency Virus (HIV) (4)
- Imaging (11)
- Implementation (8)
- Infectious Diseases (4)
- Injuries and Wounds (6)
- Inpatient Care (14)
- Intensive Care Unit (ICU) (18)
- Kidney Disease and Health (4)
- Labor and Delivery (1)
- Learning Health Systems (2)
- Lifestyle Changes (8)
- Long-Term Care (1)
- Low-Income (2)
- Maternal Care (2)
- Medicaid (6)
- Medical Errors (23)
- Medical Expenditure Panel Survey (MEPS) (1)
- Medicare (3)
- Medication (76)
- Medication: Safety (27)
- Methicillin-Resistant Staphylococcus aureus (MRSA) (1)
- Mortality (6)
- Neonatal Intensive Care Unit (NICU) (1)
- Neurological Disorders (8)
- Newborns/Infants (5)
- Nursing (12)
- Nursing Homes (3)
- Nutrition (1)
- Obesity (8)
- Obesity: Weight Management (5)
- Opioids (1)
- Organizational Change (2)
- Orthopedics (2)
- Osteoporosis (3)
- Outcomes (13)
- Pain (2)
- Palliative Care (1)
- Patient-Centered Healthcare (27)
- Patient-Centered Outcomes Research (26)
- Patient Adherence/Compliance (4)
- Patient and Family Engagement (31)
- Patient Experience (17)
- Patient Safety (118)
- Patient Self-Management (9)
- Payment (4)
- Pneumonia (1)
- Policy (8)
- Practice-Based Research Network (PBRN) (2)
- Practice Patterns (13)
- Pregnancy (5)
- Pressure Ulcers (1)
- Prevention (17)
- Primary Care (66)
- Primary Care: Models of Care (2)
- Provider (32)
- Provider: Clinician (11)
- Provider: Health Personnel (13)
- Provider: Nurse (12)
- Provider: Pharmacist (4)
- Provider: Physician (25)
- Provider Performance (8)
- Public Health (6)
- Public Reporting (1)
- Quality Improvement (45)
- Quality Indicators (QIs) (10)
- Quality Measures (18)
- Quality of Care (59)
- Quality of Life (2)
- Racial and Ethnic Minorities (18)
- Registries (10)
- Research Methodologies (13)
- Respiratory Conditions (10)
- Risk (32)
- Rural Health (3)
- Screening (8)
- Sepsis (6)
- Sex Factors (2)
- Sexual Health (1)
- Simulation (2)
- Social Determinants of Health (15)
- Social Media (1)
- Stress (2)
- Stroke (1)
- Substance Abuse (4)
- Surgery (19)
- System Design (6)
- Teams (7)
- Telehealth (6)
- Tobacco Use (3)
- Tobacco Use: Smoking Cessation (1)
- Tools & Toolkits (4)
- Training (6)
- Transitions of Care (6)
- Transplantation (2)
- Trauma (4)
- Uninsured (2)
- Urban Health (3)
- Urinary Tract Infection (UTI) (2)
- Vaccination (1)
- Vitamins and Supplements (1)
- Vulnerable Populations (12)
- Web-Based (28)
- Women (7)
- Workflow (16)
- Workforce (4)
- Young Adults (4)
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
601 to 625 of 729 Research Studies DisplayedMurphy DR, Wu L, Thomas EJ
Electronic trigger-based intervention to reduce delays in diagnostic evaluation for cancer: a cluster randomized controlled trial.
The researchers tested whether prospective use of electronic health record-based trigger algorithms to identify patients at risk of diagnostic delays could prevent delays in diagnostic evaluation for cancer. They found that electronic trigger-based interventions seem to be effective in reducing time to diagnostic evaluation of colorectal and prostate cancer as well as improving the proportion of patients who receive follow-up.
AHRQ-funded; HS017820.
Citation: Murphy DR, Wu L, Thomas EJ .
Electronic trigger-based intervention to reduce delays in diagnostic evaluation for cancer: a cluster randomized controlled trial.
J Clin Oncol 2015 Nov 1;33(31):3560-7. doi: 10.1200/jco.2015.61.1301..
Keywords: Cancer: Colorectal Cancer, Cancer: Lung Cancer, Cancer: Prostate Cancer, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT)
Wright A, Sittig DF, Ash JS
Lessons learned from implementing service-oriented clinical decision support at four sites: a qualitative study.
This study identified challenges, lessons learned and best practices for service-oriented clinical decision support, based on the results of the Clinical Decision Support Consortium, a multi-site study which developed, implemented and evaluated clinical decision support services in a diverse range of electronic health records. Based on the challenges and lessons learned, there were eight best practices for developers and implementers of service-oriented clinical decision support.
AHRQ-funded; 290200810010.
Citation: Wright A, Sittig DF, Ash JS .
Lessons learned from implementing service-oriented clinical decision support at four sites: a qualitative study.
Int J Med Inform 2015 Nov;84(11):901-11. doi: 10.1016/j.ijmedinf.2015.08.008.
.
.
Keywords: Clinical Decision Support (CDS), Electronic Health Records (EHRs), Decision Making, Health Information Technology (HIT)
Ahmed S, Siegel CA, Melmed GY
Implementing quality measures for inflammatory bowel disease.
The author argues that implementation of quality measures may depend on the care setting and whether quality measurement and improvement can be incorporated into workflows and electronic medical records. He also asserts that collaborative networks, utilization of care pathways, and standardized treatment algorithms may represent avenues for wide-scale implementation of quality improvement.
AHRQ-funded; HS021747.
Citation: Ahmed S, Siegel CA, Melmed GY .
Implementing quality measures for inflammatory bowel disease.
Curr Gastroenterol Rep 2015 Apr;17(4):14. doi: 10.1007/s11894-015-0437-1..
Keywords: Quality Measures, Quality of Care, Quality Improvement, Electronic Health Records (EHRs), Health Information Technology (HIT)
Gephart S, Carrington JM, Finley B
A systematic review of nurses' experiences with unintended consequences when using the electronic health record.
The purpose of this article is to present the state of the science on nurses' experiences with unintended consequences of electronic health records (EHRs). Findings demonstrate that nurses experience changes to workflow, must continually adapt to meet patient's needs in the context of imperfect EHR systems, and have difficulty accessing the information they need to make patient care decisions. Implications for nurse administrators include the need for continual engagement with nurses along the continuum of EHR design, as well as the need to encourage nurses to speak up and acknowledge workflow changes that threaten patient safety or do not support work efficiency.
AHRQ-funded; HS021074.
Citation: Gephart S, Carrington JM, Finley B .
A systematic review of nurses' experiences with unintended consequences when using the electronic health record.
Nurs Adm Q 2015 Oct-Dec;39(4):345-56. doi: 10.1097/naq.0000000000000119.
.
.
Keywords: Adverse Events, Clinical Decision Support (CDS), Electronic Health Records (EHRs), Nursing, Workflow
Murphy DR, Thomas EJ, Meyer AN
Development and validation of electronic health record-based triggers to detect delays in follow-up of abnormal lung imaging findings.
In this study, the researchers developed an electronic health record (EHR)-based trigger algorithm to identify delays in follow-up evaluation of patients with imaging findings suggestive of lung cancer. After validating the trigger with retrospective data, they concluded that EHR-based triggers can be used to identify patients with suspicious imaging findings in whom follow-up diagnostic evaluation was delayed.
AHRQ-funded; HS017820.
Citation: Murphy DR, Thomas EJ, Meyer AN .
Development and validation of electronic health record-based triggers to detect delays in follow-up of abnormal lung imaging findings.
Radiology 2015 Oct;277(1):81-7. doi: 10.1148/radiol.2015142530..
Keywords: Cancer: Lung Cancer, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Imaging
Gallego CJ, Burt A, Sundaresan AS
Penetrance of hemochromatosis in HFE genotypes resulting in p.Cys282Tyr and p.[Cys282Tyr];[His63Asp] in the eMERGE Network.
The researchers used the eMERGE Network, a multicenter cohort with genotype data linked to electronic medical records, to estimate the diagnostic rate and clinical penetrance of hereditary hemochromatosis ( HH in 98 individuals homozygous for the variant coding for HFE p.Cys282Tyr and 397 compound heterozygotes with variants resulting in p.[His63Asp];[Cys282Tyr].
AHRQ-funded; HS021686.
Citation: Gallego CJ, Burt A, Sundaresan AS .
Penetrance of hemochromatosis in HFE genotypes resulting in p.Cys282Tyr and p.[Cys282Tyr];[His63Asp] in the eMERGE Network.
Am J Hum Genet 2015 Oct 1;97(4):512-20. doi: 10.1016/j.ajhg.2015.08.008..
Keywords: Electronic Health Records (EHRs), Genetics, Health Information Technology (HIT)
Price LE, Shea K, Gephart S
The Veterans Affairs's Corporate Data Warehouse: uses and implications for nursing research and practice.
This article described the developments in research associated with the VHA's transition into the world of Big Data analytics through Corporate Data Warehouse (CDW) utilization. The authors found that the most commonly-occurring research topics are pharmacy/medications, systems issues, and weight management/obesity. They concluded that, despite the potential benefit of data mining techniques to improve patient care and services, the CDW and alternative analytical approaches are underutilized by researchers and clinicians.
AHRQ-funded; HS022908.
Citation: Price LE, Shea K, Gephart S .
The Veterans Affairs's Corporate Data Warehouse: uses and implications for nursing research and practice.
Nurs Adm Q 2015 Oct-Dec;39(4):311-8. doi: 10.1097/naq.0000000000000118.
.
.
Keywords: Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Nursing
Acher AW, LeCaire TJ, Hundt AS
Using human factors and systems engineering to evaluate readmission after complex surgery.
The study objective was to use a human factors and systems engineering approach to understand contributors to surgical readmissions from a patient and provider perspective. Patients and clinician providers identified a number of factors during the transition of care that may have contributed to readmission, including poor patient and caregiver understanding; inadequate discharge preparation for home care; insufficient educational process and materials.
AHRQ-funded; HS022446.
Citation: Acher AW, LeCaire TJ, Hundt AS .
Using human factors and systems engineering to evaluate readmission after complex surgery.
J Am Coll Surg 2015 Oct;221(4):810-20. doi: 10.1016/j.jamcollsurg.2015.06.014..
Keywords: Surgery, Hospital Readmissions, Hospital Discharge, Transitions of Care, Electronic Health Records (EHRs)
Wolfson J, Bandyopadhyay S, Elidrisi M
A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data.
This paper proposed an adaptation of the well-known Naive Bayes machine learning approach to time-to-event outcomes subject to censoring. It compared the predictive performance of that method with the Cox proportional hazards model which is commonly used for risk prediction in healthcare populations, and illustrated its application to prediction of cardiovascular risk using an electronic health record dataset from a large Midwest integrated healthcare system.
AHRQ-funded; HS017622.
Citation: Wolfson J, Bandyopadhyay S, Elidrisi M .
A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data.
Stat Med 2015 Sep 20;34(21):2941-57. doi: 10.1002/sim.6526..
Keywords: Risk, Electronic Health Records (EHRs), Health Information Technology (HIT), Cardiovascular Conditions
Slight SP, Berner ES, Glanter W
Meaningful use of electronic health records: experiences from the field and future opportunities.
AHRQ-sponsored Centers for Education and Research in Therapeutics (CERTs) critically examined the impact of the MU policy relating to the use of medications and jointly developed recommendations to help inform future HIT policy. The conclusion was that although MU has stimulated adoption of EHRs, its effects on quality and safety remain uncertain. Stakeholders felt that MU requirements should be more flexible and recognize that integrated models may achieve information-sharing goals in alternate ways.
AHRQ-funded.
Citation: Slight SP, Berner ES, Glanter W .
Meaningful use of electronic health records: experiences from the field and future opportunities.
JMIR Med Inform 2015 Sep 18;3(3):e30. doi: 10.2196/medinform.4457..
Keywords: Centers for Education and Research on Therapeutics (CERTs), Electronic Health Records (EHRs), Health Information Technology (HIT), Medication
Phillips RL, Jr., Bazemore AW, DeVoe JE
A family medicine health technology strategy for achieving the triple aim for US health care.
To inform the Family Medicine for America's Health (FMAHealth) initiative, this paper explores strategies and tactics that family medicine could pursue to improve the utility of technology for primary care and to help primary care become a leader in rapid development, testing, and implementation of new technologies. These strategies were also designed with a broader stakeholder audience in mind, intending to reach beyond the work being done by FMAHealth.
AHRQ-funded; HS022583.
Citation: Phillips RL, Jr., Bazemore AW, DeVoe JE .
A family medicine health technology strategy for achieving the triple aim for US health care.
Fam Med 2015 Sep;47(8):628-35.
.
.
Keywords: Electronic Health Records (EHRs), Healthcare Delivery, Primary Care, Health Information Technology (HIT)
Cifuentes M, Davis M, Fernald D
Electronic health record challenges, workarounds, and solutions observed in practices integrating behavioral health and primary care.
This article describes the electronic health record (EHR)-related experiences of practices striving to integrate behavioral health and primary care using tailored, evidenced-based strategies from 2012 to 2014; and the challenges, workarounds and initial health information technology (HIT) solutions that emerged during implementation. The researchers found that as practices gained experience with integration, they began to move beyond workarounds to more permanent HIT solutions.
AHRQ-funded; HS022981.
Citation: Cifuentes M, Davis M, Fernald D .
Electronic health record challenges, workarounds, and solutions observed in practices integrating behavioral health and primary care.
J Am Board Fam Med 2015 Sep-Oct;28(Suppl 1):S63-72. doi: 10.3122/jabfm.2015.S1.150133..
Keywords: Behavioral Health, Primary Care, Electronic Health Records (EHRs), Evidence-Based Practice
Nijhawan AE, Kitchell E, Etherton SS
Half of 30-day hospital readmissions among HIV-infected patients are potentially preventable.
The researchers assessed whether readmissions among HIV-infected patients were potentially preventable using both published criteria and detailed chart review, how readmissions might have been prevented, and the phase of care deemed suboptimal (inpatient care, discharge planning, post-discharge). They found that among 130 individuals experiencing 30-day readmissions, about half were determined to be potentially preventable using published criteria (53 percent) or implicit chart review (48 percent).
AHRQ-funded; HS022418.
Citation: Nijhawan AE, Kitchell E, Etherton SS .
Half of 30-day hospital readmissions among HIV-infected patients are potentially preventable.
AIDS Patient Care STDS 2015 Sep;29(9):465-73. doi: 10.1089/apc.2015.0096..
Keywords: Human Immunodeficiency Virus (HIV), Hospital Readmissions, Electronic Health Records (EHRs), Patient-Centered Outcomes Research, Prevention
Crotty BH, Walker J, Dierks M
Information sharing preferences of older patients and their families.
This study identified how patients older than 75 years (hereinafter, elders) and family caregivers of such patients approach sharing of health information, with the hope of applying the results to collaborative patient portals. It found that information sharing and control are complex issues even under the most well-meaning circumstances. While elders may delegate control and share information with family, they want to retain granular control of their information.
AHRQ-funded; HS021495.
Citation: Crotty BH, Walker J, Dierks M .
Information sharing preferences of older patients and their families.
JAMA Intern Med 2015 Sep;175(9):1492-7. doi: 10.1001/jamainternmed.2015.2903..
Keywords: Caregiving, Clinician-Patient Communication, Communication, Elderly, Electronic Health Records (EHRs), Health Information Technology (HIT)
Marsolo K, Margolis PA, Forrest CB
A digital architecture for a network-based learning health system: integrating chronic care management, quality improvement, and research.
The authors collaborated with the ImproveCareNow Network to create a proof-of-concept architecture for a network-based Learning Health System. This collaboration involved transitioning an existing registry to one that is linked to the electronic health record (EHR), enabling a “data in once” strategy. This required automating a series of reports that support care improvement while also demonstrating the use of observational registry data for comparative effectiveness research.
AHRQ-funded; HS020024; HS022974.
Citation: Marsolo K, Margolis PA, Forrest CB .
A digital architecture for a network-based learning health system: integrating chronic care management, quality improvement, and research.
eGEMS 2015 Aug 17;3(1):1168. doi: 10.13063/2327-9214.1168..
Keywords: Electronic Health Records (EHRs), Registries, Patient-Centered Outcomes Research, Comparative Effectiveness, Health Information Technology (HIT)
Lapham GT, Rubinsky AD, Shortreed SM
Comparison of provider-documented and patient-reported brief intervention for unhealthy alcohol use in VA outpatients.
This study sought to determine if differences in how brief intervention (BI) was implemented across health systems could lead to differences in the proportion of documented BI recalled and reported by patients across health systems. It found that the association between documented BI and patient-reported BI did not vary across VA networks in adjusted logistic regression models.
AHRQ-funded; HS022800.
Citation: Lapham GT, Rubinsky AD, Shortreed SM .
Comparison of provider-documented and patient-reported brief intervention for unhealthy alcohol use in VA outpatients.
Drug Alcohol Depend 2015 Aug 1;153:159-66. doi: 10.1016/j.drugalcdep.2015.05.027..
Keywords: Alcohol Use, Electronic Health Records (EHRs), Health Information Technology (HIT), Substance Abuse
Baer HJ, Wee CC, DeVito K
Design of a cluster-randomized trial of electronic health record-based tools to address overweight and obesity in primary care.
The researchers described the design of a trial to examine the effectiveness of electronic health record-based tools for the assessment and management of overweight and obesity among adult primary care patients, as well as the challenges encountered. New features included reminders to measure height and weight, and an alert asking providers to add overweight or obesity to the problem list.
AHRQ-funded; HS019789.
Citation: Baer HJ, Wee CC, DeVito K .
Design of a cluster-randomized trial of electronic health record-based tools to address overweight and obesity in primary care.
Clin Trials 2015 Aug;12(4):374-83. doi: 10.1177/1740774515578132..
Keywords: Health Information Technology (HIT), Primary Care, Obesity, Electronic Health Records (EHRs), Clinician-Patient Communication
Carayon P, Wetterneck TB, Alyousef B
Impact of electronic health record technology on the work and workflow of physicians in the intensive care unit.
This study assessed the impact of EHR technology on the work and workflow of ICU physicians and compared time spent by ICU resident and attending physicians on various tasks before and after EHR implementation. It found that after EHR implementation, both residents and attending physicians spent more of their time on clinical review and documentation (40 percent and 55 percent increases, respectively).
AHRQ-funded; HS000083; HS015274.
Citation: Carayon P, Wetterneck TB, Alyousef B .
Impact of electronic health record technology on the work and workflow of physicians in the intensive care unit.
Int J Med Inform 2015 Aug;84(8):578-94. doi: 10.1016/j.ijmedinf.2015.04.002..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Intensive Care Unit (ICU)
Grundmeier RW, Song L, Ramos MJ
Imputing missing race/ethnicity in pediatric electronic health records: Reducing bias with use of U.S. census location and surname data.
The researchers assessed the utility of imputing race/ethnicity using U.S. Census race/ethnicity, residential address, and surname information compared to standard missing data methods in a pediatric cohort. In a simulation experiment, they constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity. They found that imputation using U.S. Census information reduced bias for both continuous and dichotomous outcomes.
AHRQ-funded; HS021645.
Citation: Grundmeier RW, Song L, Ramos MJ .
Imputing missing race/ethnicity in pediatric electronic health records: Reducing bias with use of U.S. census location and surname data.
Health Serv Res 2015 Aug;50(4):946-60. doi: 10.1111/1475-6773.12295..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Children/Adolescents, Racial and Ethnic Minorities
Senathirajah Y
Safer design - composable EHRs and mechanisms for safety.
In this paper, the author discussed how the different drag/drop interaction paradigm has implications for health IT safety via several mechanisms. These mechanisms included display fragmentation and the need to changeably prioritize information elements, interruptions, fit to tasks and contexts, and rapid changeability allowing low-cost readjustments when lack of fit is found.
AHRQ-funded; HS023708.
Citation: Senathirajah Y .
Safer design - composable EHRs and mechanisms for safety.
Stud Health Technol Inform 2015;218:40602.
.
.
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Primary Care: Models of Care, Patient Safety
Ancker JS, Brenner S, Richardson JE
Trends in public perceptions of electronic health records during early years of meaningful use.
To track consumer perceptions of EHRs during this period, the researchers conducted a national telephone survey annually for 3 consecutive years, from 2011 to 2013, corresponding with the early years of Meaningful Use. They concluded that during the early years of the MU program, exposure to EHRs increased while confidence in the benefits of EHRs and concerns about privacy risks became less marked.
AHRQ-funded; HS021531.
Citation: Ancker JS, Brenner S, Richardson JE .
Trends in public perceptions of electronic health records during early years of meaningful use.
Am J Manag Care 2015 Aug;21(8):e487-93..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Education: Patient and Caregiver
Lyles C, Schillinger D, Sarkar U
Connecting the dots: health information technology expansion and health disparities.
The authors argue that early evidence links EHR and portal use to better healthcare processes and health outcomes. Promoting patient engagement with health technology such as portals is challenging, and rapid expansion of portals could exacerbate existing healthcare disparities if only well-resourced individuals use these websites.
AHRQ-funded; HS023558; HS022408; HS022047.
Citation: Lyles C, Schillinger D, Sarkar U .
Connecting the dots: health information technology expansion and health disparities.
PLoS Med 2015 Jul 14;12(7):e1001852. doi: 10.1371/journal.pmed.1001852..
Keywords: Disparities, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient and Family Engagement, Web-Based
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.
.
.
Keywords: Case Study, Electronic Health Records (EHRs), Electronic Prescribing (E-Prescribing), Nursing, Patient Safety
Kim KK, Joseph JG, Ohno-Machado L
Comparison of consumers' views on electronic data sharing for healthcare and research.
The researchers surveyed California consumers to learn their views of privacy, security, and consent in electronic data sharing for healthcare and research together. They found considerable concern that health information exchanges will worsen privacy (40.3 percent) and security (42.5 percent). Consumers are in favor of electronic data sharing but elements of transparency are important: individual control, who has access, and the purpose for use of data.
AHRQ-funded; HS019913.
Citation: Kim KK, Joseph JG, Ohno-Machado L .
Comparison of consumers' views on electronic data sharing for healthcare and research.
J Am Med Inform Assoc 2015 Jul;22(4):821-30. doi: 10.1093/jamia/ocv014..
Keywords: Communication, Data, Electronic Health Records (EHRs), Health Information Exchange (HIE), Health Information Technology (HIT), Patient-Centered Healthcare
Carrington JM, Gephart SM, Verran JA
Development of an instrument to measure the unintended consequences of EHRs.
The authors examined the creation and design of an instrument measuring unintended consequences of electronic health records. They suggested that other researchers will find their methods article informative for similar undertakings.
AHRQ-funded; HS022908.
Citation: Carrington JM, Gephart SM, Verran JA .
Development of an instrument to measure the unintended consequences of EHRs.
West J Nurs Res 2015 Jul;37(7):842-58. doi: 10.1177/0193945915576083.
.
.
Keywords: Communication, Decision Making, Electronic Health Records (EHRs), Nursing, Patient Safety