National Healthcare Quality and Disparities Report
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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
51 to 75 of 1440 Research Studies DisplayedAbbasi N, Lacson R, Kapoor N
Development and external validation of an artificial intelligence model for identifying radiology reports containing recommendations for additional imaging.
This study’s purpose was to develop and externally validate an artificial intelligence (AI)-based model for identifying radiology reports containing recommendations for additional imaging (RAIs). This retrospective study was performed at a multisite health center using a total of 6300 randomly selected radiology reports generated at one site from January 2015 to June 30, 2021. A bidirectional encoder representations from transformers (BERT)-based technique for identifying RAIS was developed using the 1260 report training set. Performance of the BERT-based model and a previously developed traditional machine learning (TML) model was assessed and compared in the test set. Among a total of 7419 unique patients, 10% of 7560 reports contained RAI. The test set using the BERT-based model had 94.4% precision, 65.4% recall, and an F1 score of 96.4%. In the test set, the TML model showed 69.0% precision, 65.4% recall, and an F1 score of 67.2%. Also in the test set, accuracy was greater for the BERT-based model than for the TML model (99.2% vs 93.1%). The external validation set showed even higher scores for the BERT-based model (99.2% precision, 91.6% recall, an F1 score of 95.2%, and 99.0% accuracy).
AHRQ-funded; HS029348.
Citation: Abbasi N, Lacson R, Kapoor N .
Development and external validation of an artificial intelligence model for identifying radiology reports containing recommendations for additional imaging.
AJR Am J Roentgenol 2023 Sep; 221(3):377-85. doi: 10.2214/ajr.23.29120..
Keywords: Imaging, Health Information Technology (HIT)
Magoc T, Allen KS, McDonnell C
Generalizability and portability of natural language processing system to extract individual social risk factors.
The purpose of this study was to validate the portability and generalizability of a Natural Language Processing (NLP) method to extract individual social factors from clinical notes. More than 6 million notes were processed at the receiving site by the NLP model. The study found that approximately 13,000 and 19,000 were categorized as positive for financial insecurity and housing instability, respectively. The NLP model reflected excellent performance on the validation dataset with all measures over 0.87 for both social factors.
AHRQ-funded; HS028636.
Citation: Magoc T, Allen KS, McDonnell C .
Generalizability and portability of natural language processing system to extract individual social risk factors.
Int J Med Inform 2023 Sep; 177:105115. doi: 10.1016/j.ijmedinf.2023.105115..
Keywords: Social Determinants of Health, Electronic Health Records (EHRs), Health Information Technology (HIT)
Zachrison KS, Yan Z, Sequist T
Patient characteristics associated with the successful transition to virtual care: lessons learned from the first million patients.
The objective of this study was to describe patient characteristics associated with successful transition from in-person to virtual care, and video vs audio-only participation. Researchers conducted a retrospective analysis of electronic health record data from patients with ambulatory visits to a large integrated health system in the northeast US. The results showed that substantial inequity remained after the transition to virtual care; without audio-only visits, access to care would have been more limited for vulnerable patients.
AHRQ-funded; HS027363; HS026622.
Citation: Zachrison KS, Yan Z, Sequist T .
Patient characteristics associated with the successful transition to virtual care: lessons learned from the first million patients.
J Telemed Telecare 2023 Sep; 29(8):621-31. doi: 10.1177/1357633x211015547..
Keywords: Telehealth, Health Information Technology (HIT)
Rasheed HA, Hazelrigg O, Rasmussen PM
Practical strategies for addressing video visit access barriers in urology.
Researchers analyzed specific strategies for overcoming barriers to telehealth access. Data was collected from the University of Michigan’s Department of Urology through the GET (Geriatric Education On Telehealth) Access Program -- a medical student-run telehealth education program -- with the expectation that the findings might aid other urology practices that are trying to expand video visits to all patients in an equitable manner. The principal themes that emerged during discussions with patients included completion of registration steps, familiarity with accessing and using video conferencing software, attainment of proxy access for parents of pediatric patients, and resolution of miscellaneous technical queries. The researchers concluded that this program was a feasible and low resource way to improve video visit adoption.
AHRQ-funded; HS027632.
Citation: Rasheed HA, Hazelrigg O, Rasmussen PM .
Practical strategies for addressing video visit access barriers in urology.
JU Open Plus 2023 Sep; 1(9). doi: 10.1097/ju9.0000000000000049..
Keywords: Telehealth, Health Information Technology (HIT), Access to Care
Neylon J, Luximon DC, Ritter T
Proof-of-concept study of artificial intelligence-assisted review of CBCT image guidance.
The authors presented the initial findings of a proof-of-concept clinical implementation of their AI-assisted review of cone beam computed tomography (CBCT) registrations used for patient setup. They developed an automated pipeline which utilized python scripts to interact with the clinical database through DICOM networking protocol and automated data retrieval and analysis. The AI model was validated against independent expert observers; observer scores for the stratified validation dataset showed statistically significant correlation between scores and model predictions. Case studies demonstrated potential benefits of using such a pipeline to bolster quality and safety programs in radiotherapy.
AHRQ-funded; HS026486.
Citation: Neylon J, Luximon DC, Ritter T .
Proof-of-concept study of artificial intelligence-assisted review of CBCT image guidance.
J Appl Clin Med Phys 2023 Sep; 24(9):e14016. doi: 10.1002/acm2.14016..
Keywords: Imaging, Health Information Technology (HIT)
Osmanlliu E, Kalwani NM, Parameswaran V
Sociodemographic disparities in the use of cardiovascular ambulatory care and telemedicine during the COVID-19 pandemic.
Researchers examined adult cardiology visits at an academic and affiliated community practice in Northern California to assess the persistence sociodemographic disparities in telemedicine use before and during the COVID pandemic. Results indicated that sociodemographic characteristics of patients receiving cardiovascular care remained stable during both periods, but the modality of care diverged across groups. Observed disparities in the use of video-based telemedicine were greatest for patients 80 years or older, Black, with limited English proficiency, or on Medicaid. The researchers recommended that future studies examine barriers and outcomes in digital healthcare access across diverse patient groups.
AHRQ-funded; HS026128.
Citation: Osmanlliu E, Kalwani NM, Parameswaran V .
Sociodemographic disparities in the use of cardiovascular ambulatory care and telemedicine during the COVID-19 pandemic.
Am Heart J 2023 Sep; 263:169-76. doi: 10.1016/j.ahj.2023.06.011..
Keywords: COVID-19, Cardiovascular Conditions, Telehealth, Health Information Technology (HIT), Disparities, Ambulatory Care and Surgery
Button D, Levander XA, Cook RR
Substance use disorder treatment and technology access among people who use drugs in rural areas of the United States: a cross-sectional survey.
This study evaluated how technology access (cell phone use and access to the Internet) affected substance use disorder (SUD) treatment prior to COVID-19 for people who use drugs in rural areas. The authors used data from the Rural Opioid Initiative (January 2018-March 2020), which was a cross-sectional study of people with prior 30-day injection drug or nonprescribed opioid use from rural areas of 10 states. They found that out of 3,026 participants, 71% used heroin and 76% used methamphetamine with 35% having no cell phone and 10% having no prior 30-day Internet use. Having both a cell phone and the internet was associated with increased days of medication for opioid use disorder (MOUD) use and a higher likelihood of SUD counseling in the prior 30 days. Lack of cell phone was associated with decreased days of MOUD and a lower likelihood of prior 30-day SUD counseling.
AHRQ-funded; HS026370.
Citation: Button D, Levander XA, Cook RR .
Substance use disorder treatment and technology access among people who use drugs in rural areas of the United States: a cross-sectional survey.
J Rural Health 2023 Sep; 39(4):772-79. doi: 10.1111/jrh.12737..
Keywords: Substance Abuse, Behavioral Health, Rural Health, Telehealth, Health Information Technology (HIT), Opioids, Rural/Inner-City Residents
Silverstein GD, Styke SC, Kaur S
The relationship between depressive symptoms, eHealth literacy, and asthma outcomes in the context of a mobile health intervention.
This study’s objective was to evaluate the associations between health/eHealth literacy and depressive symptoms with app usage and clinical outcomes. The authors recruited adults with persistent asthma to utilize the ASTHMAXcel PRO mobile app. Participants completed the following questionnaires: Patient Health Questionnaire-9 (PHQ-9) to assess for depressive symptoms, Asthma Control Test (ACT), Mini Asthma Quality of Life (QOL) Questionnaire, and the Newest Vital Sign (NVS) tool to measure health literacy. Subsets of participant data were available on eHealth literacy (eHeals) (n = 24) and average number of app logins across 2 months (n = 40). The average participant age was 44.0 years, with 74% identifying as female. Increased depressive symptoms were associated with worse asthma control and asthma QOL, but not eHealth literacy. Higher eHealth literacy was associated with worse asthma QOL and more app logins. NVS scores weren’t associated with any measures.
AHRQ-funded; HS025645.
Citation: Silverstein GD, Styke SC, Kaur S .
The relationship between depressive symptoms, eHealth literacy, and asthma outcomes in the context of a mobile health intervention.
Psychosom Med 2023 Sep 1; 85(7):605-11. doi: 10.1097/psy.0000000000001170..
Keywords: Health Literacy, Asthma, Telehealth, Health Information Technology (HIT), Education: Patient and Caregiver, Outcomes, Respiratory Conditions, Chronic Conditions
Mehta S, Lyles CR, Rubinsky AD
Social determinants of health documentation in structured and unstructured clinical data of patients with diabetes: comparative analysis.
It is not clear how accurately Electronic health records (HER) data reflect patients' lived experience of social determinants of health (SDOH). The process of manually reviewing clinical notes to retrieve SDOH information is not feasible. The purpose of this study was to apply two tools, PatientExploreR and Electronic Medical Record Search Engine (EMERSE), to identify SDOH mappings for structured and unstructured patient data. The researchers included 4,283 adult patients receiving primary care for diabetes at UCSF. The study results revealed that SDOH may be more significant in the lives of patients with diabetes than is evident from structured data recorded on EHRs. When researchers applied EMERSE NLP rules, additional information was uncovered from patient clinical notes on problems related to social connections isolation, employment, financial insecurity, housing insecurity, food insecurity, education, and stress.
AHRQ-funded; HS026383.
Citation: Mehta S, Lyles CR, Rubinsky AD .
Social determinants of health documentation in structured and unstructured clinical data of patients with diabetes: comparative analysis.
JMIR Med Inform 2023 Aug 22; 11:e46159. doi: 10.2196/46159..
Keywords: Social Determinants of Health, Diabetes, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Sittig DF, Boxwala A, Wright A
AHRQ Author: Swiger J, Lomotan EA
A lifecycle framework illustrates eight stages necessary for realizing the benefits of patient-centered clinical decision support.
The authors developed a patient-centered clinical decision support (PC CDS) lifecycle framework to promote a language for communication among researchers, patients, clinicians, and policymakers. The framework placed the patient and/or their caregiver at the center and its use could ensure that patients and the clinicians caring for them are explicitly involved at each stage.
AHRQ-authored; AHRQ-funded; 75Q80120D00018.
Citation: Sittig DF, Boxwala A, Wright A .
A lifecycle framework illustrates eight stages necessary for realizing the benefits of patient-centered clinical decision support.
J Am Med Inform Assoc 2023 Aug 18; 30(9):1583-89. doi: 10.1093/jamia/ocad122..
Keywords: Patient-Centered Healthcare, Clinical Decision Support (CDS), Health Information Technology (HIT)
Hekman DJ, Cochran AL, Maru AP
Effectiveness of an emergency department-based machine learning clinical decision support tool to prevent outpatient falls among older adults: protocol for a quasi-experimental study.
This article described a research protocol for evaluating the effectiveness of an automated screening and referral intervention tool for patients receiving falls risk intervention. The study will attempt to quantify the impact of a machine learning (ML) clinical decision support intervention on patient behavior and outcomes. The primary analysis will obtain referral completion rates from different emergency departments. The findings will inform ongoing discussion on the use of ML and artificial intelligence to augment medical decision-making.
AHRQ-funded; HS027735.
Citation: Hekman DJ, Cochran AL, Maru AP .
Effectiveness of an emergency department-based machine learning clinical decision support tool to prevent outpatient falls among older adults: protocol for a quasi-experimental study.
JMIR Res Protoc 2023 Aug 3; 12:e48128. doi: 10.2196/48128..
Keywords: Clinical Decision Support (CDS), Emergency Department, Health Information Technology (HIT), Elderly, Falls
Jones EK, Ninkovic I, Bahr M
A novel, evidence-based, comprehensive clinical decision support system improves outcomes for patients with traumatic rib fractures.
This study’s objective to investigate if a traumatic rib fracture clinical decision support system (CDSS) reduced hospital length of stay (LOS), 90-day and 1-year mortality, unplanned ICU transfer, and the need for mechanical ventilation. The CDSS included an admission evidence-based (EB) order set and a pain-inspiratory-cough (PIC) score early warning system (EWS). The CDSS was implemented at 9 US trauma centers, with 3,279 patients meeting inclusion criteria. Hospital LOS pre vs post-intervention was unchanged but unplanned transfer to the ICU was reduced, as was 1-year mortality. Provider utilization was associated with significantly reduced LOS. The EWS triggered on 34.4% of patients; however, it was not associated with a significant reduction in hospital LOS.
AHRQ-funded; HS026379.
Citation: Jones EK, Ninkovic I, Bahr M .
A novel, evidence-based, comprehensive clinical decision support system improves outcomes for patients with traumatic rib fractures.
J Trauma Acute Care Surg 2023 Aug 1; 95(2):161-71. doi: 10.1097/ta.0000000000003866..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Evidence-Based Practice, Injuries and Wounds, Trauma
Allende-Richter S, Benitez AD, Ramirez M
A patient portal intervention to promote adolescent and young adult self-management skills.
This study’s objective was to examine whether a patient portal educational intervention is acceptable and can improve adolescent and young adult (AYA) self-management skills toward transition readiness to adult care. The authors conducted a single site feasibility study using a mixed research method consisting of 1) a patient portal one-on-one educational intervention with pre- and postsurveys adapted from the Transition Readiness Assessment Questionnaire to assess participant self-management skills and portal user activity; 2) a portal user experience that was assessed through semistructured interviews until thematic saturation was reached. Study participants were 13 to 25 years old and received care at an academic-affiliated community pediatric clinic, of whom 78 (60%) completed the pre- and post-surveys. Following the educational intervention, they observed an increase in participants self-reporting knowing how to access their protected health information and in the proportion of participants self-reporting to strongly agree to know their medication. They also observed an increase in portal user access at 3 weeks. The median number of logins was 2 per participant.
AHRQ-funded; HS000063.
Citation: Allende-Richter S, Benitez AD, Ramirez M .
A patient portal intervention to promote adolescent and young adult self-management skills.
Acad Pediatr 2023 Aug; 23(6):1252-58. doi: 10.1016/j.acap.2023.02.003..
Keywords: Children/Adolescents, Young Adults, Patient Self-Management, Electronic Health Records (EHRs), Health Information Technology (HIT)
Plombon S, Rudin RS, Sulca Flores J
Assessing equitable recruitment in a digital health trial for asthma.
This study’s objective was to assess a multipronged strategy that primarily used digital methods to recruit asthma patients into a clinical trial for a digital health intervention. Eligible patients completed a web-based eligibility questionnaire reported during a verbal consent phone call. Study team members conducted monthly sessions using a structured guide to identify recruitment barriers and facilitators. The results indicated that primarily digital strategy patients recruitment is unlikely to achieve equitable participation, even in a population overrepresented by patient portal enrollees. The authors concluded that nondigital recruitment methods that address racial and educational disparities and less active portal enrollees are necessary to ensure equity in clinical trial enrollment.
AHRQ-funded; HS026432.
Citation: Plombon S, Rudin RS, Sulca Flores J .
Assessing equitable recruitment in a digital health trial for asthma.
Appl Clin Inform 2023 Aug; 14(4):620-31. doi: 10.1055/a-2090-5745..
Keywords: Asthma, Respiratory Conditions, Health Information Technology (HIT)
Rolfzen ML, Wick A, Mascha EJ
Best Practice Alerts Informed by Inpatient Opioid Intake to Reduce Opioid Prescribing after Surgery (PRIOR): a cluster randomized multiple crossover trial.
This study tested the hypothesis that a decision-support tool embedded in electronic health records (EHRs) leads clinicians to prescribe fewer opioids at discharge after inpatient surgery. Over 21,000 surgical inpatient discharges in a cluster randomized multiple crossover trial in four Colorado hospitals were included. The results indicated that within the context of vigorous opioid education and awareness efforts a decision-support tool incorporated into EHRs did not reduce discharge opioid prescribing for postoperative patients. The authors concluded that opioid prescribing alerts might be valuable in other contexts.
AHRQ-funded; HS027795.
Citation: Rolfzen ML, Wick A, Mascha EJ .
Best Practice Alerts Informed by Inpatient Opioid Intake to Reduce Opioid Prescribing after Surgery (PRIOR): a cluster randomized multiple crossover trial.
Anesthesiology 2023 Aug 1; 139(2):186-96. doi: 10.1097/aln.0000000000004607..
Keywords: Opioids, Medication, Surgery, Inpatient Care, Clinical Decision Support (CDS), Health Information Technology (HIT)
Krishnan JA, Margellos-Anast H, Kumar R
Coordinated Health Care Interventions for Childhood Asthma Gaps in Outcomes (CHICAGO) plan.
The purpose of this clinical trial was to compare an emergency-department- (ED) only intervention and home visits by community health workers for 6 months (ED-plus-home) and enhanced usual care (UC). The study enrolled children aged 5 to 11 years with uncontrolled asthma. The primary outcomes were change over 6 months in the Patient-Reported Outcomes Measurement Information System Asthma Impact Scale score in children and Satisfaction with Participation in Social Roles score in caregivers. The secondary outcomes included guideline-recommended ED discharge care and self-management. The study found that of the 373 children recruited, only 63% completed the 6-month follow-up visit. Differences in Asthma Impact Scores or caregivers' Satisfaction with Participation in Social Roles scores were not significant. However, in the intervention groups guideline-recommended ED discharge care improved significantly versus in the UC group, and self-management behaviors were significantly improved in the ED-plus-home group versus in the ED-only and UC groups.
AHRQ-funded; HS027804.
Citation: Krishnan JA, Margellos-Anast H, Kumar R .
Coordinated Health Care Interventions for Childhood Asthma Gaps in Outcomes (CHICAGO) plan.
J Allergy Clin Immunol Glob 2023 Aug; 2(3). doi: 10.1016/j.jacig.2023.100100..
Keywords: Children/Adolescents, Asthma, Respiratory Conditions, Outcomes, Patient-Centered Outcomes Research, Evidence-Based Practice, Emergency Department, Clinical Decision Support (CDS), Health Information Technology (HIT), Racial and Ethnic Minorities
Roberts MM, Marino M, Wells R
Differences in use of clinical decision support tools and implementation of aspirin, blood pressure control, cholesterol management, and smoking cessation quality metrics in small practices by race and sex.
The objective of this cross-sectional study was to evaluate the association between population-based clinical decision support (CDS) tools and racial and sex disparities in the aspirin use, blood pressure control, cholesterol management, and smoking cessation (ABCS) care quality metrics among smaller primary care practices. Researchers used practice-level data from the EvidenceNOW initiative, from practices that submitted both survey data and electronic health record (EHR)-derived ABCS data stratified by race and sex. Their findings suggested that practices using CDS tools had small disparities but were not statistically significant; however, CDS tools were not associated with reductions in disparities. They concluded that more research was needed on effective practice-level interventions to mitigate disparities.
AHRQ-funded; HS023940.
Citation: Roberts MM, Marino M, Wells R .
Differences in use of clinical decision support tools and implementation of aspirin, blood pressure control, cholesterol management, and smoking cessation quality metrics in small practices by race and sex.
JAMA Netw Open 2023 Aug; 6(8):e2326905. doi: 10.1001/jamanetworkopen.2023.26905..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Cardiovascular Conditions, Tobacco Use, Tobacco Use: Smoking Cessation, Primary Care, Evidence-Based Practice, Prevention
Fuery MA, Kadhim B, Samsky MD
Electronic health record embedded strategies for improving care of patients with heart failure.
This article reviews recent findings from randomized clinical trials examining the impact of electronic health record (HER) alerts (called nudges) on quality of care for heart failure patients. These clinical trials demonstrated that some EHR alerts can improve care for heart failure patients. The trials described utilized default options, involved clinicians in the alert design process, provided actionable recommendations, and aimed to minimize disruptions to typical workflow.
AHRQ-funded; HS027626.
Citation: Fuery MA, Kadhim B, Samsky MD .
Electronic health record embedded strategies for improving care of patients with heart failure.
Curr Heart Fail Rep 2023 Aug; 20(4):280-86. doi: 10.1007/s11897-023-00614-0..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Heart Disease and Health, Cardiovascular Conditions, Chronic Conditions
Sparling JL, France D, Abraham J
Handoff Effectiveness Research in periOperative environments (HERO) Design Studio: a conference report.
This conference report reviewed the historical background which led to the Handoff Effectiveness Research in periOperative environments (HERO) Design Studio. The objectives of the HERO Design Studio were to examine the existing literature base, create a national research agenda, and build the research infrastructure necessary to address critical evidence gaps in perioperative handoff quality and safety. The authors described how they prepared for the research conference and synthesized the conference’s results. They also recommended future directions regarding perioperative handoff improvement.
AHRQ-funded; HS027769.
Citation: Sparling JL, France D, Abraham J .
Handoff Effectiveness Research in periOperative environments (HERO) Design Studio: a conference report.
Jt Comm J Qual Patient Saf 2023 Aug; 49(8):422-30. doi: 10.1016/j.jcjq.2023.02.004..
Keywords: Health Information Technology (HIT), Workflow, Transitions of Care, Electronic Health Records (EHRs), Evidence-Based Practice
Kalenderian E, Bangar S, Yansane A
Identifying contributing factors associated with dental adverse events through a pragmatic electronic health record-based root cause analysis.
This study’s objective was to analyze harmful dental adverse events (AEs) to assess potential contributing factors. Harmful AEs were defined as those that resulted in temporary moderate to severe harm, required hospitalization, or resulted in permanent moderate to severe harm. The authors classified potential contributing factors according to (1) who was involved (person), (2) what were they doing (tasks), (3) what tools/technologies were they using (tools/technologies), (4) where did the event take place (environment), (5) what organizational conditions contributed to the event? (organization), (6) patient (including parents), and (7) professional-professional collaboration. A second review was conducted by a blinded panel of dental experts to confirm the presence of an AE. A total of 59 cases at 2 dental institutions had 1 or more harmful AEs. The most common harmful AE was pain (27.1%) followed by nerve injury (16.9%), hard tissue injury (15.2%), and soft tissue injury (15.2%). The most common contribution factor was the care provider (training, supervision, and fatigue at 31.5%) followed by patient ((noncompliance, unsafe practices at home, low health literacy, 17.1%), and professional-professional collaboration (15.3%).
AHRQ-funded; HS027268.
Citation: Kalenderian E, Bangar S, Yansane A .
Identifying contributing factors associated with dental adverse events through a pragmatic electronic health record-based root cause analysis.
J Patient Saf 2023 Aug 1; 19(5):305-12. doi: 10.1097/pts.0000000000001122..
Keywords: Dental and Oral Health, Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Patient Safety
DeSimone AK, Kapoor N, Lacson R
Impact of an automated closed-loop communication and tracking tool on the rate of recommendations for additional imaging in thoracic radiology reports.
The objectives of this retrospective, institutional review board-approved study set in academic quaternary care hospital were to assess the effects of feedback reports and the implementation of a closed-loop communication system based on rates of recommendations for additional imaging (RAIs) in thoracic radiology reports. A previously validated natural language processing tool was used to classify reports with an RAI. The results showed that feedback reports alone increased RAI rates; an IT intervention that promoted documentation of complete RAI in addition to feedback reports led to significant reductions in RAI rate, incomplete RAI, and improved overall completeness of radiology recommendations.
AHRQ-funded; HS029348.
Citation: DeSimone AK, Kapoor N, Lacson R .
Impact of an automated closed-loop communication and tracking tool on the rate of recommendations for additional imaging in thoracic radiology reports.
J Am Coll Radiol 2023 Aug; 20(8):781-88. doi: 10.1016/j.jacr.2023.05.004..
Keywords: Imaging, Health Information Technology (HIT), Communication
Liberman AL, Wang Z, Zhu Y
Optimizing measurement of misdiagnosis-related harms using Symptom-Disease Pair Analysis of Diagnostic Error (SPADE): comparison groups to maximize SPADE validity.
The purpose of this paper was to clarify features of the Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) approach to accurately measure diagnostic errors to assure that researchers utilize this method to yield valid results, as well as improve the validity of SPADE and related approaches to quantify diagnostic error in medicine. The researchers describe four types of comparators (intra-group and inter-group), detailing the reason for selecting one over the other and conclusions that can be drawn from these comparative analyses.
AHRQ-funded; HS027614.
Citation: Liberman AL, Wang Z, Zhu Y .
Optimizing measurement of misdiagnosis-related harms using Symptom-Disease Pair Analysis of Diagnostic Error (SPADE): comparison groups to maximize SPADE validity.
Diagnosis 2023 Aug 1; 10(3):225-34. doi: 10.1515/dx-2022-0130..
Keywords: Diagnostic Safety and Quality, Medical Errors, Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Sparling JL, Hong Mershon B, Abraham J
Perioperative handoff enhancement opportunities through technology and artificial intelligence: a narrative review.
This narrative review synthesized prior research on electronic tools for perioperative handoffs, limitations of current tools and barriers to their implementation, and use of AI and machine learning in perioperative care. Results showed that several efforts have incorporated electronic tools to improve perioperative handoffs, but were limited by imprecision in selecting handoff elements. AI and machine learning use and integration into handoff workflows were not yet being studied. Existing technology such as mobile applications, barcode scanners, and radio-frequency identification tags to advance perioperative safety were similarly not applied to handoffs.
AHRQ-funded; HS027769.
Citation: Sparling JL, Hong Mershon B, Abraham J .
Perioperative handoff enhancement opportunities through technology and artificial intelligence: a narrative review.
Jt Comm J Qual Patient Saf 2023 Aug; 49(8):410-21. doi: 10.1016/j.jcjq.2023.03.009..
Keywords: Health Information Technology (HIT), Workflow, Transitions of Care, Electronic Health Records (EHRs), Evidence-Based Practice
Hua Y, Temkin-Greener H, Cai S
Primary care telemedicine use among assisted living residents with dementia during COVID-19: race and dual enrollment status.
The purpose of this study was to explore primary care telemedicine use among Medicare beneficiaries with Alzheimer’s disease and related dementias (ADRD) who resided in Assisted Living Facilities (Als) during the early stage of the COVID-19 pandemic, with a focus on possible racial and socioeconomic differences. The study found that at the start of the pandemic in quarter 2 of 2020, Black residents were less likely to have telemedicine visits than their White counterparts. In the following two quarters, Black residents were more likely to receive primary care via telemedicine than White residents; a similar difference was observed between Hispanic and White residents, but with smaller effect sizes. Compared with nondual residents, dual residents were more likely to receive primary care via telemedicine in Q3. In addition, residents in AL communities with a higher proportion of dual residents, compared with those in low-dual ALs, were less likely to receive primary care via telemedicine throughout the study period. However, the difference in telemedicine use between higher vs lower dual ALs narrowed over time.
AHRQ-funded; HS026893.
Citation: Hua Y, Temkin-Greener H, Cai S .
Primary care telemedicine use among assisted living residents with dementia during COVID-19: race and dual enrollment status.
J Am Med Dir Assoc 2023 Aug; 24(8):1157-58.e3. doi: 10.1016/j.jamda.2023.05.005..
Keywords: COVID-19, Primary Care, Telehealth, Health Information Technology (HIT), Nursing Homes, Long-Term Care, Dementia, Neurological Disorders, Racial and Ethnic Minorities, Elderly
Chen LW, Usinger DS, Katz AJ
Telehealth use and perceptions among prostate cancer survivors.
Researchers surveyed a sociodemographically diverse population-based cohort of prostate cancer survivors about their usage and perceptions of telehealth during the COVID-19 pandemic. While less than a third of survivors used telehealth at the time of survey and only 10% thought telehealth care was comparable an in-person visit, more than half felt telehealth was a good option for initial consultations or basic care. Survivors with lower education had marginally lower use of telehealth. The researchers concluded that differences in survivor perceptions of telehealth by education level highlighted underlying disparities in telehealth use and offered potential targets for interventions.
AHRQ-funded; 29020050040.
Citation: Chen LW, Usinger DS, Katz AJ .
Telehealth use and perceptions among prostate cancer survivors.
Cancer Med 2023 Aug; 12(16):17308-12. doi: 10.1002/cam4.6328..
Keywords: Telehealth, Health Information Technology (HIT), Cancer: Prostate Cancer, Cancer