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) (5)
- Adverse Events (8)
- Alcohol Use (1)
- Ambulatory Care and Surgery (8)
- Arthritis (2)
- Asthma (2)
- Behavioral Health (3)
- Blood Clots (1)
- Blood Pressure (3)
- Brain Injury (1)
- Burnout (3)
- Cancer (6)
- Cancer: Colorectal Cancer (1)
- Cancer: Lung Cancer (2)
- Cancer: Prostate Cancer (1)
- Cardiovascular Conditions (7)
- Care Coordination (3)
- Caregiving (5)
- Care Management (3)
- 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) (2)
- Children/Adolescents (15)
- Chronic Conditions (12)
- Clinical Decision Support (CDS) (20)
- Clinician-Patient Communication (8)
- Communication (9)
- Community-Based Practice (5)
- Comparative Effectiveness (2)
- COVID-19 (2)
- Critical Care (1)
- Data (10)
- Decision Making (13)
- Dementia (1)
- Depression (2)
- Diabetes (12)
- Diagnostic Safety and Quality (15)
- Digestive Disease and Health (1)
- Disparities (1)
- Ear Infections (1)
- Education: Continuing Medical Education (2)
- Education: Patient and Caregiver (3)
- Elderly (7)
- (-) Electronic Health Records (EHRs) (195)
- Electronic Prescribing (E-Prescribing) (3)
- Emergency Department (8)
- Emergency Medical Services (EMS) (3)
- Evidence-Based Practice (8)
- Falls (1)
- Genetics (2)
- Healthcare-Associated Infections (HAIs) (3)
- Healthcare Costs (1)
- Healthcare Delivery (6)
- Healthcare Utilization (1)
- Health Information Exchange (HIE) (5)
- Health Information Technology (HIT) (164)
- Health Insurance (3)
- Health Literacy (3)
- Health Promotion (1)
- Health Services Research (HSR) (4)
- Health Status (1)
- Health Systems (3)
- Heart Disease and Health (6)
- Home Healthcare (4)
- Hospital Discharge (1)
- Hospitalization (1)
- Hospital Readmissions (4)
- Hospitals (10)
- Human Immunodeficiency Virus (HIV) (2)
- Imaging (3)
- Implementation (3)
- Infectious Diseases (1)
- Injuries and Wounds (3)
- Inpatient Care (5)
- Intensive Care Unit (ICU) (3)
- Kidney Disease and Health (2)
- Lifestyle Changes (1)
- Medicaid (3)
- Medical Errors (6)
- Medication (13)
- Medication: Safety (4)
- Mortality (2)
- Neurological Disorders (2)
- Newborns/Infants (1)
- Nursing (5)
- Obesity (2)
- Obesity: Weight Management (1)
- Orthopedics (2)
- Osteoporosis (2)
- Outcomes (1)
- Pain (2)
- Patient-Centered Healthcare (10)
- Patient-Centered Outcomes Research (6)
- Patient and Family Engagement (7)
- Patient Safety (26)
- Patient Self-Management (3)
- Policy (1)
- Practice-Based Research Network (PBRN) (1)
- Practice Patterns (2)
- Prevention (6)
- Primary Care (28)
- Primary Care: Models of Care (1)
- Provider (4)
- Provider: Clinician (2)
- Provider: Health Personnel (3)
- Provider: Physician (4)
- Provider Performance (1)
- Public Health (1)
- Public Reporting (1)
- Quality Improvement (13)
- Quality Indicators (QIs) (3)
- Quality Measures (7)
- Quality of Care (20)
- Racial and Ethnic Minorities (5)
- Registries (2)
- Research Methodologies (4)
- Risk (9)
- Rural Health (1)
- Screening (1)
- Sepsis (2)
- Simulation (1)
- Social Determinants of Health (1)
- Substance Abuse (1)
- Surgery (6)
- System Design (1)
- Teams (2)
- Telehealth (2)
- Training (2)
- Transitions of Care (3)
- Trauma (1)
- Uninsured (1)
- Urinary Tract Infection (UTI) (1)
- Vitamins and Supplements (1)
- Web-Based (6)
- Workflow (3)
- Young Adults (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 25 of 195 Research Studies DisplayedBobo WV, Ryu E, Petterson TM
Bi-directional association between depression and HF: an electronic health records-based cohort study.
This study examined whether heart failure (HF) patients were more likely to be diagnosed with depression, or patients with depression were more likely to be diagnosed with HF. This retrospective cohort study utilized electronic health records (EHRs) from a large healthcare system in 2006 for adults who received primary care services. The EHR identified 10,649 people with depression, and 5,911 people with HF between 2006 to 2018. In the depression cohort there were 2,024 newly diagnosed occurrences of HF, and 944 occurrences of newly diagnosed depression in the HF cohort over 4-6 years of follow-up. There was a significantly higher risk of developing HF in the depression cohort than vice versa.
AHRQ-funded; HS023077.
Citation: Bobo WV, Ryu E, Petterson TM .
Bi-directional association between depression and HF: an electronic health records-based cohort study.
J Comorb 2020 Jan-Dec;10:2235042x20984059. doi: 10.1177/2235042x20984059..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Depression, Electronic Health Records (EHRs), Health Information Technology (HIT), Chronic Conditions
Desai AD, Wang G, Wignall J
User-centered design of a longitudinal care plan for children with medical complexity.
This study’s goal was to determine content priorities and design preferences for a longitudinal care plan (LCP) among caregivers and healthcare providers who care for children with complex medical conditions (CMC) in acute care settings. Thirty iterative one-on-one design sessions with 10 caregivers and 20 providers were conducted. There was high within-group variability in content preferences among caregivers compared to provider groups. The authors identified 6 design preferences: a familiar yet customizable layout, a problem-based organization schema, linked content between sections, a table layout for most sections, a balance between unstructured and structured data fields, and use of family-centered terminology.
AHRQ-funded; HS024299.
Citation: Desai AD, Wang G, Wignall J .
User-centered design of a longitudinal care plan for children with medical complexity.
J Am Med Inform Assoc 2020 Dec 9;27(12):1860-70. doi: 10.1093/jamia/ocaa193..
Keywords: Children/Adolescents, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Care Coordination, Caregiving
Patterson BW, Jacobsohn GC, Maru AP
Comparing strategies for identifying falls in older adult emergency department visits using EHR data.
This study compared seven different strategies for identifying falls in older adult emergency department (ED) visits using electronic health record (EHR) data. This retrospective cohort study used randomly selected data from 500 ED visits by patients 65 and older at an academic medical center from December 2016 to April 2017. The seven strategies tested were: Chief complaint (CC), ICD codes, Restrictive ICD codes, Broad ICD codes, Combined approaches, Natural language processing (NLP), and Manual abstraction (gold standard). When compared with manual chart review, NLP was found to be the most accurate fall identification strategy, followed by a combination of a restrictive ICD code-based definition with CC.
AHRQ-funded; HS024558.
Citation: Patterson BW, Jacobsohn GC, Maru AP .
Comparing strategies for identifying falls in older adult emergency department visits using EHR data.
J Am Geriatr Soc 2020 Dec;68(12):2965-67. doi: 10.1111/jgs.16831..
Keywords: Elderly, Falls, Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT)
Griffey RT, Schneider RM, Todorov AA
The emergency department trigger tool: validation and testing to optimize yield.
Researchers validated the emergency department trigger tool (EDTT) in an independent sample and compared record selection approaches to optimize yield for quality improvement. In this single-site study of the EDTT, they observed high levels of validity in trigger selection, yield, and representativeness of adverse events, with yields that are superior to estimates for traditional approaches to adverse event detection. Record selection using weighted triggers outperformed a trigger count threshold approach and far outperformed random sampling from records with at least one trigger. They concluded that the EDTT is a promising efficient and high-yield approach for detecting all-cause harm to guide quality improvement efforts in the emergency department.
AHRQ-funded; HS025052.
Citation: Griffey RT, Schneider RM, Todorov AA .
The emergency department trigger tool: validation and testing to optimize yield.
Acad Emerg Med 2020 Dec;27(12):1279-90. doi: 10.1111/acem.14101..
Keywords: Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Events, Patient Safety, Quality Improvement, Quality of Care
Salmasian H, Blanchfield BB, Joyce K
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
Wrong-patient order entry (WPOE) errors have a high potential for harm; these errors are particularly frequent wherever workflows are complex and multitasking and interruptions are common, such as in the emergency department (ED). The purpose of this study was to evaluate whether the use of noninterruptive display of patient photographs in the banner of the electronic health record (EHR) is associated with a decreased rate of WPOE errors.
AHRQ-funded; HS024713.
Citation: Salmasian H, Blanchfield BB, Joyce K .
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
AMA Netw Open 2020 Nov 2;3(11):e2019652. doi: 10.1001/jamanetworkopen.2020.19652..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Drug Events (ADE), Adverse Events, Medication, Medication: Safety, Patient Safety, Diagnostic Safety and Quality
Topaz M, Woo K, Ryvicker M
Home healthcare clinical notes predict patient hospitalization and emergency department visits.
About 30% of home healthcare patients are hospitalized or visit an emergency department (ED) during a home healthcare (HHC) episode. Novel data science methods are increasingly used to improve identification of patients at risk for negative outcomes. The aim of the study was to identify patients at heightened risk hospitalization or ED visits using HHC narrative data (clinical notes).
AHRQ-funded; HS027742.
Citation: Topaz M, Woo K, Ryvicker M .
Home healthcare clinical notes predict patient hospitalization and emergency department visits.
Nurs Res 2020 Nov/Dec;69(6):448-54. doi: 10.1097/nnr.0000000000000470..
Keywords: Elderly, Home Healthcare, Emergency Department, Hospitalization, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Thate JA, Couture B, Schnock KO
Information needs and the use of documentation to support collaborative decision-making: implications for the reduction of central line-associated blood stream infections.
It is clear that interdisciplinary communication and collaboration have the potential to mitigate healthcare-associated harm, yet there is limited research on how communication through documentation in the patient record can support collaborative decision making. Understanding what information is needed to support collaborative decision making is necessary to design electronic health information systems that facilitate effective communication and, ultimately, safe care. To explore this issue, the investigators focused on information needs related to central venous catheter management and the prevention of central line-associated blood stream infections.
AHRQ-funded; HS0235335.
Citation: Thate JA, Couture B, Schnock KO .
Information needs and the use of documentation to support collaborative decision-making: implications for the reduction of central line-associated blood stream infections.
Comput Inform Nurs 2020 Nov 2;39(4):208-14. doi: 10.1097/cin.0000000000000683..
Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Decision Making, Communication, Electronic Health Records (EHRs), Health Information Technology (HIT), Nursing
Brady PW, Schondelmeyer AC, Landrigan CP
Validity of continuous pulse oximetry orders for identification of actual monitoring status in bronchiolitis.
Investigators used direct bedside observation to determine continuous pulse oximetry monitor use in infants with bronchiolitis and then assessed if an active continuous monitoring order was present in the electronic health record. They found that most monitored infants did not have an active monitoring order. The positive predictive value of a monitoring order was 77%, and the negative predictive value was 69%. They recommended that teams intending to measure continuous pulse oximetry use understand the limitations of using electronic health record orders as a stand-alone measure.
AHRQ-funded; HS023827; HS026763.
Citation: Brady PW, Schondelmeyer AC, Landrigan CP .
Validity of continuous pulse oximetry orders for identification of actual monitoring status in bronchiolitis.
J Hosp Med 2020 Nov;15(11):665-68. doi: 10.12788/jhm.3443..
Keywords: Newborns/Infants, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals
Senathirajah Y, Kaufman DR, Cato KD
Characterizing and visualizing display and task fragmentation in the electronic health record: mixed methods design.
The complexity of health care data and workflow presents challenges to the study of usability in electronic health records (EHRs). This study aimed to define and analyze some of the main sources of fragmentation in EHR user interfaces (UIs); discuss relevant theoretical, historical, and practical considerations; and use granular microanalytic methods and visualization techniques to help us understand the nature of fragmentation and opportunities for EHR optimization or redesign.
AHRQ-funded; HS023708.
Citation: Senathirajah Y, Kaufman DR, Cato KD .
Characterizing and visualizing display and task fragmentation in the electronic health record: mixed methods design.
JMIR Hum Factors 2020 Oct 21;7(4):e18484. doi: 10.2196/18484..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Workflow, System Design
Rogith D, Satterly T, Singh H
Application of human factors methods to understand missed follow-up of abnormal test results.
This study demonstrated application of human factors methods for understanding causes for lack of timely follow-up of abnormal test results ("missed results") in outpatient settings. The investigators identified 30 cases of missed test results by querying electronic health record data, developed a critical decision method based interview guide to understand decision-making processes, and interviewed physicians who ordered these tests. They analyzed transcribed responses, developed a CI-based flow model, and conducted a fault tree analysis to identify hierarchical relationships between factors that delayed action.
AHRQ-funded; HS022087; HS022901.
Citation: Rogith D, Satterly T, Singh H .
Application of human factors methods to understand missed follow-up of abnormal test results.
Appl Clin Inform 2020 Oct;11(5):692-98. doi: 10.1055/s-0040-1716537..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Decision Making, Diagnostic Safety and Quality, Communication, Clinician-Patient Communication
Byrd TF, Ahmad FS, Liebovitz DM
Defragmenting heart failure care: medical records integration.
This article discusses the need to improve interoperability of software systems so that so that providers and patients can access clinical information needed to help coordinate care of heart failure patients. New data standards currently being proposed in legislation would make it possible to guide clinical decision-making.
AHRQ-funded; HS026385.
Citation: Byrd TF, Ahmad FS, Liebovitz DM .
Defragmenting heart failure care: medical records integration.
Heart Fail Clin 2020 Oct;16(4):467-77. doi: 10.1016/j.hfc.2020.06.007..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Heart Disease and Health, Cardiovascular Conditions, Data
Shah RU, Mutharasan RK, Ahmad FS
Development of a portable tool to identify patients with atrial fibrillation using clinical notes from the electronic medical record.
The electronic medical record contains a wealth of information buried in free text. In this study, the investigators created a natural language processing algorithm to identify patients with atrial fibrillation (AF) using text alone. The authors concluded that this approach allowed better use of the clinical narrative and created an opportunity for precise, high-throughput cohort identification.
AHRQ-funded; HS026385.
Citation: Shah RU, Mutharasan RK, Ahmad FS .
Development of a portable tool to identify patients with atrial fibrillation using clinical notes from the electronic medical record.
Circ Cardiovasc Qual Outcomes 2020 Oct;13(10):e006516. doi: 10.1161/circoutcomes.120.006516..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality
Gold JA, Becton J, Ash JS
Do you know what your scribe did last spring? The impact of COVID-19 on medical scribe workflow.
This study assessed the impact of COVID-19 on the workflow of medical scribes. This prospective observational study was conducted at an academic medical center in the United States. A total of 74 scribes working in ambulatory practices were recruited, with 57 scribes completing the survey. Overall, 42% of scribes transitioned to remote scribing with 97% serving as remote scribes for telehealth visits. These scribes worked at home and used personal equipment. Of those no longer working as scribes, 46% worked in preclinic support, with a wide range of EHR-related activities reported. The remainder were either redeployed or furloughed.
AHRQ-funded; HS025141.
Citation: Gold JA, Becton J, Ash JS .
Do you know what your scribe did last spring? The impact of COVID-19 on medical scribe workflow.
Appl Clin Inform 2020 Oct;11(5):807-11. doi: 10.1055/s-0040-1721396..
Keywords: COVID-19, Workflow, Electronic Health Records (EHRs), Telehealth, Health Information Technology (HIT)
Martinez DA, Levin SR, Klein EY
Early prediction of acute kidney injury in the emergency department with machine-learning methods applied to electronic health record data.
Researchers analyzed routinely collected emergency department (ED) data and developed prediction models with capacity for early identification of ED patients at high risk for acute kidney injury. They found that machine learning applied to routinely-collected ED data identified ED patients at high risk for acute kidney injury up to 72 hours before they met diagnostic criteria. They recommended further prospective evaluation.
AHRQ-funded; HS027793.
Citation: Martinez DA, Levin SR, Klein EY .
Early prediction of acute kidney injury in the emergency department with machine-learning methods applied to electronic health record data.
Ann Emerg Med 2020 Oct;76(4):501-14. doi: 10.1016/j.annemergmed.2020.05.026..
Keywords: Kidney Disease and Health, Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT)
Scott HF, Brilli RJ, Paul R
Evaluating pediatric sepsis definitions designed for electronic health record extraction and multicenter quality improvement.
The purpose of this study was to describe the Children's Hospital Association's Improving Pediatric Sepsis Outcomes sepsis definitions and to evaluate the definition using a published framework. The investigators concluded that the Improving Pediatric Sepsis Outcomes Sepsis definitions demonstrated feasibility for large-scale data abstraction. When operationalized, these definitions enabled multicenter identification and data aggregation, indicating practical utility for quality improvement.
AHRQ-funded; HS025696.
Citation: Scott HF, Brilli RJ, Paul R .
Evaluating pediatric sepsis definitions designed for electronic health record extraction and multicenter quality improvement.
Crit Care Med 2020 Oct;48(10):e916-e26. doi: 10.1097/ccm.0000000000004505..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Sepsis, Quality Improvement, Quality of Care
DePuccio MJ, Di Tosto G, Walker DM
Patients' perceptions about medical record privacy and security: implications for withholding of information during the COVID-19 pandemic.
Researchers explored how patients’ concerns about the privacy and security of their medical information may lead to information-withholding behaviors. They found that many hospitalized patients were concerned about who had access to their medical information, and they found an association between these concerns and patients’ reported information-withholding behavior. They recommended reinforcing technological safeguards and clearly communicating about how patients’ medical information is accessed, stored, and used in order to honor patient privacy preferences and potentially address patients’ concerns in this area.
AHRQ-funded; HS024091; HS024767.
Citation: DePuccio MJ, Di Tosto G, Walker DM .
Patients' perceptions about medical record privacy and security: implications for withholding of information during the COVID-19 pandemic.
J Gen Intern Med 2020 Oct;35(10):3122-25. doi: 10.1007/s11606-020-05998-6..
Keywords: COVID-19, Electronic Health Records (EHRs), Health Information Technology (HIT)
Bucher BT, Shi J, Ferraro JP
Portable automated surveillance of surgical site infections using natural language processing: development and validation.
The authors presented the development and validation of a portable natural language processing (NLP) approach for automated surveillance of surgical site infections (SSIs). Patient clinical text notes from EHRs following surgical procedures from two independent healthcare systems were abstracted. The authors found that automated surveillance of SSIs can be achieved using NLP of clinical notes with high sensitivity and specificity.
AHRQ-funded; HS025776.
Citation: Bucher BT, Shi J, Ferraro JP .
Portable automated surveillance of surgical site infections using natural language processing: development and validation.
Ann Surg 2020 Oct;272(4):629-36. doi: 10.1097/sla.0000000000004133..
Keywords: Surgery, Healthcare-Associated Infections (HAIs), Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Saleh SN, Makam AN, Halm EA,
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later readmissions (8-30 days). In this study, the investigators assessed how well a previously validated 30-day EHR-based readmission model predicted 7-day readmissions and compared differences in strength of predictors. They suggested that improvements in predicting early 7-day readmissions will likely require new risk factors proximal to day of discharge.
AHRQ-funded; HS022418.
Citation: Saleh SN, Makam AN, Halm EA, .
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
BMC Med Inform Decis Mak 2020 Sep 15;20(1):227. doi: 10.1186/s12911-020-01248-1..
Keywords: Hospital Readmissions, Hospitals, Risk, Transitions of Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
Fischer SH, Rudin RS, Shi Y
Trends in the use of computerized physician order entry by health-system affiliated ambulatory clinics in the United States, 2014-2016.
This study examined trends in the use of computerized physical order entry (CPOE) by health-system affiliated ambulatory clinics from 2014-2016 in the United States. A total of 19,109 ambulatory clinics that participated in all 3 years of the Healthcare Information and Management Systems Society Analytics survey was analyzed. They calculated descriptive statistics to examine overall trends in use, location of order entry, and system-level use of CPOE. The use of CPOE increased from than 9 percentage points from 2015 to 2016, from 58% to 67%. Larger clinics and those affiliated with multi-health hospital systems were more likely to use CPOE.
AHRQ-funded; HS024067.
Citation: Fischer SH, Rudin RS, Shi Y .
Trends in the use of computerized physician order entry by health-system affiliated ambulatory clinics in the United States, 2014-2016.
BMC Health Serv Res 2020 Sep 7;20(1):836. doi: 10.1186/s12913-020-05679-4..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Ambulatory Care and Surgery, Health Systems
Blackley SV, Schubert VD, Goss FR
Physician use of speech recognition versus typing in clinical documentation: a controlled observational study.
Researchers studied the usability and quality of documentation with speech recognition (SR) versus typing; participants were ten physicians at Brigham and Women's Hospital, Boston, who had used SR for at least six months. The researchers found that participants felt that SR saved them time, increased their efficiency, and allowed them to quickly document more relevant details. Quality analysis supported the perception that SR allowed for more detailed notes, but whether dictation was objectively faster than typing remains unclear, and participants described some scenarios where typing was still preferred. They concluded that dictation can be effective for creating comprehensive documentation, especially when physicians like and feel comfortable using SR.
AHRQ-funded; HS024264.
Citation: Blackley SV, Schubert VD, Goss FR .
Physician use of speech recognition versus typing in clinical documentation: a controlled observational study.
Int J Med Inform 2020 Sep;141:104178. doi: 10.1016/j.ijmedinf.2020.104178.
.
.
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Provider: Physician, Provider
Jackman KP, Murray S, Hightow-Weidman
Digital technology to address HIV and other sexually transmitted infection disparities: intentions to disclose online personal health records to sex partners among students at a historically Black college.
Among an online survey sample of co-ed students, the authors described latent constructs and other variables associated with perceived behavioral intentions to disclose sexually transmitted infection (STI) test history using patient portals. They found that latent constructs representing communication valuation beliefs and practices were not associated with intentions, while self-reporting prior STI diagnosis was associated with intentions to disclose. They concluded that point-of-care messages focused on improvements to validating test results, communication, and empowerment, may be an effective strategy to support the adoption of patient portals for STI prevention among populations of college-aged Black youth.
AHRQ-funded; HS023057.
Citation: Jackman KP, Murray S, Hightow-Weidman .
Digital technology to address HIV and other sexually transmitted infection disparities: intentions to disclose online personal health records to sex partners among students at a historically Black college.
PLoS One 2020 Aug 21;15(8):e0237648. doi: 10.1371/journal.pone.0237648..
Keywords: Human Immunodeficiency Virus (HIV), Infectious Diseases, Electronic Health Records (EHRs), Health Information Technology (HIT), Young Adults, Racial and Ethnic Minorities, Prevention
Loo S, Grasso C, Glushkina J
Capturing relevant patient data in clinical encounters through integration of an electronic patient-reported outcome system into routine primary care in a Boston Community Health Center: development and implementation study.
This study’s goal was to implement an electronic patient-reported outcome (ePRO) system that administers key health questionnaires in an urban community health center in Boston, Massachusetts. The system was integrated with the EHR so that medical providers could review and arbitrate patient responses in during the patient’s visit. Findings showed that this program demonstrated that implementation of an ePRO system in a primary care setting is feasible, allowing for facilitation of patient-provider communication and care.
AHRQ-funded; HS026154.
Citation: Loo S, Grasso C, Glushkina J .
Capturing relevant patient data in clinical encounters through integration of an electronic patient-reported outcome system into routine primary care in a Boston Community Health Center: development and implementation study.
J Med Internet Res 2020 Aug 19;22(8):e16778. doi: 10.2196/16778..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care, Community-Based Practice, Implementation
Koopman RJ, Canfield SM, Belden JL
Home blood pressure data visualization for the management of hypertension: designing for patient and physician information needs.
This study examined whether using home blood pressure visualization tools helps management of hypertension for both patients and physicians. A multidisciplinary team used iterative user-centered design to create a blood pressure visualization EHR prototype that included patient-generated blood pressure data. The study included an attitude and behavior survey and 10 focus groups with 16 patients and 24 physicians. Most patients measured their blood pressure at home, but only half shared data with their physician. Data visualization helped patients and physicians have a fuller understanding of the blood pressure “story” and helped with patient-physician interactions to better control hypertension.
AHRQ-funded; HS023328.
Citation: Koopman RJ, Canfield SM, Belden JL .
Home blood pressure data visualization for the management of hypertension: designing for patient and physician information needs.
BMC Med Inform Decis Mak 2020 Aug 18;20(1):195. doi: 10.1186/s12911-020-01194-y..
Keywords: Blood Pressure, Electronic Health Records (EHRs), Health Information Technology (HIT), Chronic Conditions, Cardiovascular Conditions
Giardina JC, Cha T, Atlas SJ
Validation of an electronic coding algorithm to identify the primary indication of orthopedic surgeries from administrative data.
The purpose of this study was to develop and validate an algorithm to identify patients receiving four elective orthopedic surgeries to promote shared decision-making. The surgeries included were: 1) knee arthroplasty to treat knee osteoarthritis (KOA); 2) hip arthroplasty to treat hip osteoarthritis (HOA); 3) spinal surgery to treat lumbar spinal stenosis (SpS); and 4) spinal surgery to treat lumber herniated disc (HD). Electronic medical records were reviewed to ascertain a “gold standard” determination of the procedure and primary indication status. Each case had electronic algorithms consisting of ICD-10 and CPT codes for each combination and indication applied to their record. A total of 790 procedures were included in the study. The sensitivity of the algorithms ranged from 0.70 (HD) to 0.92 (KOA). Specificity ranged from 0.94 (SpS) to 0.99 (HOA, KOA).
AHRQ-funded; HS000055.
Citation: Giardina JC, Cha T, Atlas SJ .
Validation of an electronic coding algorithm to identify the primary indication of orthopedic surgeries from administrative data.
BMC Med Inform Decis Mak 2020 Aug 12;20(1):187. doi: 10.1186/s12911-020-01175-1.
.
.
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Orthopedics, Surgery, Arthritis, Decision Making
Nuamah JK, Adapa K, Mazur L
Electronic health records (EHR) simulation-based training: a scoping review protocol.
This article describes a literature review that will be conducted on the evidence for electronic health record (EHR)-based training interventions to facilitate improved EHR use for healthcare providers. Three databases will be searched for published articles and ProQuest and Google Scholar will be searched to identify unpublished articles from inception to January 29, 2020. Two reviewers will independently screen titles and abstracts using inclusion and exclusion criteria. Based on the extracted data, research evidence will be synthesized.
AHRQ-funded; HS025597.
Citation: Nuamah JK, Adapa K, Mazur L .
Electronic health records (EHR) simulation-based training: a scoping review protocol.
BMJ Open 2020 Aug 11;10(8):e036884. doi: 10.1136/bmjopen-2020-036884..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Research Methodologies, Simulation