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 151 Research Studies DisplayedReeves SL, Patel PN, Madden B
Telehealth use before and during the COVID-19 pandemic among children with sickle cell anemia.
This study’s goal was to determine telehealth use before and during the COVID pandemic for children ages 1-17 years old with sickle cell anemia (SCA). The authors identified children with SCA continuously enrolled in Michigan Medicaid from January 2019 to December 2020. The study population consisted of 493 children with SCA with a mean age of 8.7 years at study entry. Pre-pandemic there were 4,367 outpatient visits, with all but 19 in-person. Telehealth visits peaked in April 2020 and then began declining. The majority of telehealth visits were with hematologists, followed up adult subspecialists (27%) and pediatrics/family medicine.
AHRQ-funded; HS027632.
Citation: Reeves SL, Patel PN, Madden B .
Telehealth use before and during the COVID-19 pandemic among children with sickle cell anemia.
Telemed J E Health 2022 Aug;28(8):1166-71. doi: 10.1089/tmj.2021.0132..
Keywords: Children/Adolescents, COVID-19, Telehealth, Health Information Technology (HIT), Sickle Cell Disease, Chronic Conditions, Access to Care
Rudin RS, Qureshi N, Foer D
Toward an asthma patient-reported outcome measure for use in digital remote monitoring.
The purpose of this study was to create a patient-reported outcome measure (PROM) and evaluate its suitability for digital remote asthma symptom monitoring to identify uncontrolled asthma. The researchers modified the asthma control measure (ACM), an existing, non-licensed PROM, and tested it with the asthma control questionnaire (ACQ-5) on 498 individuals with asthma, all of whom were recruited through an online platform. The study concluded that the modified ACM can be used in digital remote monitoring, does not require a license, and is able to differentiate between patients with uncontrolled asthma and patients with well-controlled asthma.
AHRQ-funded; HS026432.
Citation: Rudin RS, Qureshi N, Foer D .
Toward an asthma patient-reported outcome measure for use in digital remote monitoring.
J Asthma 2022 Aug;59(8):1697-702. doi: 10.1080/02770903.2021.1955378..
Keywords: Asthma, Respiratory Conditions, Telehealth, Health Information Technology (HIT)
Kagarmanova A, Sparkman H, Laiteerapong N
Improving the management of chronic pain, opioid use, and opioid use disorder in older adults: study protocol for i-cope study.
This article describes a protocol for an upcoming study on the planned implementation and evaluation of I-COPE (Improving Chicago Older Adult Opioid and Pain Management through Patient-centered Clinical Decision Support and Project ECHO®) to improve care for older adults with chronic pain, opioid use, and opioid use disorder (OUD). The study will be implemented in 35 clinical sites across the metropolitan Chicago area for patients aged ≥ 65 with chronic pain, opioid use, or OUD who receive primary care at one of the clinics. I-COPE includes the integration of patient-reported data on symptoms and preferences, clinical decision support tools and shared decision making into routine primary care. Primary care providers will be trained on the tools through web-based videos and an optional Project ECHO® course, entitled "Pain Management and OUD in Older Adults." A framework called RE-AIM will be used to assess the I-COPE implementation. Outcomes considered effective include an increased variety of recommended pain treatments, decreased prescriptions of higher-risk pain treatments, and decreased patient pain scores. Outcomes will be evaluated at 6 and 12 months after implementation, and PCPs participating in Project ECHO® will be evaluated on changes in knowledge, attitudes, and self-efficacy using pre- and post-course surveys.
AHRQ-funded; HS027910.
Citation: Kagarmanova A, Sparkman H, Laiteerapong N .
Improving the management of chronic pain, opioid use, and opioid use disorder in older adults: study protocol for i-cope study.
Trials 2022 Jul 27;23(1):602. doi: 10.1186/s13063-022-06537-w..
Keywords: Elderly, Pain, Chronic Conditions, Opioids, Medication, Substance Abuse, Behavioral Health, Clinical Decision Support (CDS), Shared Decision Making, Health Information Technology (HIT)
Brown SD, Hedderson MM, Gordon N
Reach, acceptability, and perceived success of a telehealth diabetes prevention program among racially and ethnically diverse patients with gestational diabetes: the gem cluster-randomized trial.
The purpose of this study was to describe overall and race/ethnicity-specific reach, acceptability, and perceived success from an effective telehealth diabetes prevention lifestyle program for patients with gestational diabetes mellitus, implemented in the Gestational Diabetes Effects on Moms (GEM) cluster-randomized controlled trial. An intervention of 13 telephone sessions and behavior change techniques (BCTs) in a healthcare system were tested by GEM. Survey respondents largely rated BCTs as very helpful. Black and White respondents reported more limited success reaching a healthy weight than Asian/Pacific Islander, Hispanic, and multiracial/other women. The researchers concluded that a telehealth diabetes prevention lifestyle program showed both reach and acceptability across racial/ethnic groups, and that similar interventions could encourage preventive care access and help reduce disparities in the risk for diabetes.
AHRQ-funded; HS019367.
Citation: Brown SD, Hedderson MM, Gordon N .
Reach, acceptability, and perceived success of a telehealth diabetes prevention program among racially and ethnically diverse patients with gestational diabetes: the gem cluster-randomized trial.
Transl Behav Med 2022 Jul 18;12(7):793-99. doi: 10.1093/tbm/ibac019..
Keywords: Diabetes, Chronic Conditions, Telehealth, Health Information Technology (HIT), Prevention, Lifestyle Changes
Hinson JS, Klein E, Smith A
Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions.
This study’s objective was to develop, implement, and evaluate an electronic health record (EHR) embedded clinical decision support (CDS) system that leveraged machine learning (ML) to estimate short-term risk for clinical deterioration in patients with or under investigation for COVID-19. The system translates model-generated risk for critical care needs within 24 hours and inpatient care needs within 72 hours into rapidly interpretable COVID-19 Deterioration Risk Levels made viewable within ED clinician workflow. A retrospective cohort of 21,452 ED patients who visited one of five ED study sites was used to derive ML models and were prospectively validated in 15,670 ED visits that occurred before (n = 4322) or after (n = 11,348) CDS implementation. Model performance and numerous patient-oriented outcomes including in-hospital mortality were measured across study periods. ML model performance was excellent under all conditions. AUC ranged from 0.85 to 0.91 for prediction of critical care needs and 0.80-0.90 for inpatient care needs. Total mortality was unchanged across study periods but was reduced among high-risk patients after the implementation.
AHRQ-funded; HS026640.
Citation: Hinson JS, Klein E, Smith A .
Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions.
NPJ Digit Med 2022 Jul 16;5(1):94. doi: 10.1038/s41746-022-00646-1..
Keywords: COVID-19, Clinical Decision Support (CDS), Health Information Technology (HIT), Implementation, Electronic Health Records (EHRs), Emergency Department, Shared Decision Making
Salloum RG, Bilello L, Bian J
Study protocol for a type III hybrid effectiveness-implementation trial to evaluate scaling interoperable clinical decision support for patient-centered chronic pain management in primary care.
The objective of this 3-year project is to study the adaptation and implementation of an existing interoperable clinical decision support (CDS) tool for pain treatment shared decision making, with tailored implementation support, in new clinical settings in the OneFlorida Clinical Research Consortium. The evaluation will be organized by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, with an adaptation and tailoring of PainManager, an open source interoperable CDS tool. It is anticipated that this evaluation will establish the feasibility and obtain preliminary data in preparation for a multi-site pragmatic trial targeting the effectiveness of PainManager and tailored implementation support on shared decision making and patient-reported pain and physical function.
AHRQ-funded; R18 HS028584.
Citation: Salloum RG, Bilello L, Bian J .
Study protocol for a type III hybrid effectiveness-implementation trial to evaluate scaling interoperable clinical decision support for patient-centered chronic pain management in primary care.
Implement Sci 2022 Jul 15;17(1):44. doi: 10.1186/s13012-022-01217-4..
Keywords: Clinical Decision Support (CDS), Pain, Chronic Conditions, Primary Care, Health Information Technology (HIT), Patient-Centered Outcomes Research, Patient-Centered Healthcare
Nanji KC, Garabedian PM, Langlieb ME
Usability of a perioperative medication-related clinical decision support software application: a randomized controlled trial.
The purpose of this study was assess the usability of a newly developed, comprehensive, medication-related operating room clinical decision support (CDS) software and compare it with the standard electronic health record (EHR) medication workflow. Forty participants were randomized to a CDS group (n=20) or a control group (n=20) and asked to complete 7 simulation tasks. The study found that in a simulation setting the new CDS software improved efficiency and quality of care and reduced task time, excelling over the current EHR workflow.
AHRQ-funded; HS024764.
Citation: Nanji KC, Garabedian PM, Langlieb ME .
Usability of a perioperative medication-related clinical decision support software application: a randomized controlled trial.
J Am Med Inform Assoc 2022 Jul 12;29(8):1416-24. doi: 10.1093/jamia/ocac035..
Keywords: Medication, Clinical Decision Support (CDS), Health Information Technology (HIT), Surgery, Shared Decision Making
Shao CC, McLeod MC, Gleason LT
Inequity in telemedicine use among patients with cancer in the Deep South during the COVID-19 pandemic.
The authors’ goal was to characterize telemedicine use among a large oncology population in the Deep South during the COVID-19 pandemic. They found that telemedicine use, specifically with video, was significantly lower among historically vulnerable populations. They concluded that understanding barriers to telemedicine use and preferred modalities of communication among different populations will help inform insurance reimbursement and interventions at different socioecological levels to ensure that the continued evolution of telemedicine will be equitable.
AHRQ-funded; HS013852.
Citation: Shao CC, McLeod MC, Gleason LT .
Inequity in telemedicine use among patients with cancer in the Deep South during the COVID-19 pandemic.
https://www.pubmed.ncbi.nlm.nih.gov/35348793
Oncologist 2022 Jul 5;27(7):555-64. doi: 10.1093/oncolo/oyac046..
Oncologist 2022 Jul 5;27(7):555-64. doi: 10.1093/oncolo/oyac046..
Keywords: COVID-19, Telehealth, Health Information Technology (HIT), Cancer, Disparities
Skube SJ, Hu Z, Simon GJ
Accelerating surgical site infection abstraction with a semi-automated machine-learning approach.
The purpose of this study was to test a supervised machine learning algorithm developed for testing surgical site infection (SSI) on performing semi-automated SSI abstraction, and to demonstrate that a semi-automated approach to health data abstraction provides a high level of accuracy and significant efficiencies. The researchers evaluated data from 6,188 patients in a 2011-2013 dataset and 5,132 patients in a 2015-2015 dataset. The study concluded that very good performance is achieved using the semi-automated machine learning-aided SSI abstraction, which also accelerates the abstraction process.
AHRQ-funded; HS024532.
Citation: Skube SJ, Hu Z, Simon GJ .
Accelerating surgical site infection abstraction with a semi-automated machine-learning approach.
Ann Surg 2022 Jul 1;276(1):180-85. doi: 10.1097/sla.0000000000004354..
Keywords: Healthcare-Associated Infections (HAIs), Surgery, Health Information Technology (HIT)
Mohr NM, Schuette AR, Ullrich F
An economic and health outcome evaluation of telehealth in rural sepsis care: a comparative effectiveness study.
The purpose of this study will be to assess the impact of provider-focused video telehealth in rural hospital emergency departments (ED) on costs and long-term outcomes for patients with sepsis. Using Medicare administrative claims, the researchers will compare telehealth-subscribing hospitals and control hospitals to assess the differences in total health care expenditures, category-specific costs, length of stay, readmissions, and mortality. The researchers intend for the study results to demonstrate the association between telehealth utilization and sepsis care total expenditures.
AHRQ-funded; HS025753.
Citation: Mohr NM, Schuette AR, Ullrich F .
An economic and health outcome evaluation of telehealth in rural sepsis care: a comparative effectiveness study.
J Comp Eff Res 2022 Jul;11(10):703-16. doi: 10.2217/cer-2022-0019..
Keywords: Telehealth, Health Information Technology (HIT), Sepsis, Rural Health, Healthcare Costs
Ward MJ, Shuster JL, Mohr NM
Implementation of telehealth for psychiatric care in VA emergency departments and urgent care clinics.
The purpose of this AHRQ-funded, mixed-methods study was to evaluate an emergency telehealth intervention in emergency department (ED) and urgent care clinic (UCC) settings within the Veterans Health Administration (VHA) in March 2020. The Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework was utilized to compare the 3 months preimplementation of the telehealth intervention (December 1, 2019 through February 29, 2020) with the 3 months postimplementation of the telehealth intervention (April 1, 2020 through June 30, 2020), and then assess sustainability through January 31, 2021. Qualitative data from surveys and semistructured interviews were conducted and analyze. The telemental health intervention was used in 83% (319) of unscheduled mental health consultations in the postimplementation phase, with no adverse trends in length of stay, 7-day revisits, or 30-day mortality. In the sustainability phase, use of the intervention was high with 82% (n = 1,010) of all unscheduled mental health consultations performed by telemental health. The study concluded that the use of unscheduled telemental health intervention was highly acceptable and sustainable in ED and UCC settings and did not impact the safety and efficacy of mental health consultations.
AHRQ-funded; HS025753.
Citation: Ward MJ, Shuster JL, Mohr NM .
Implementation of telehealth for psychiatric care in VA emergency departments and urgent care clinics.
Telemed J E Health 2022 Jul;28(7):985-93. doi: 10.1089/tmj.2021.0263..
Keywords: COVID-19, Telehealth, Health Information Technology (HIT), Behavioral Health, Emergency Department
Randell KA, Ragavan MI, Query LA
Intimate partner violence and the pediatric electronic health record: a qualitative study.
The authors sought to explore expert perspectives on risks associated with the pediatric electronic health record (EHR) for intimate partner violence (IPV) survivors and their children and to identify strategies that may mitigate these risks. They conducted semistructured interviews with multidisciplinary pediatric IPV experts, and their findings suggested that the pediatric EHR may confer both risks and benefits for IPV survivors and their children. They recommended further work to develop best practices to address IPV risks related to the pediatric EHR, to ensure consistent use of these practices, and to include these practices as standard functionalities of the pediatric EHR.
AHRQ-funded; HS022242.
Citation: Randell KA, Ragavan MI, Query LA .
Intimate partner violence and the pediatric electronic health record: a qualitative study.
Acad Pediatr 2022 Jul;22(5):824-32. doi: 10.1016/j.acap.2021.08.013..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Domestic Violence
Sun J, Peng L, Li T
Performance of a chest radiograph AI diagnostic tool for COVID-19: a prospective observational study.
The purpose of this observational study was to evaluate the real-time performance of an interpretable artificial intelligence (AI) model to detect COVID-19 on chest radiographs. The researchers utilized 95,363 chest radiographs for model training, external validation, and real-time validation. There were 5,335 real-time predictions and a COVID-19 prevalence of 4.8%. The study found that participants positive for COVID-19 had higher COVID-19 diagnostic scores than participants negative for COVID-19. Real-time model performance remained the same during the 19 weeks of implementation. Model sensitivity was higher in men than in women, but model specificity was higher in women. Sensitivity was higher for Asian and Black participants compared with White participants. The COVID-19 AI diagnostic system had worse accuracy compared with radiologist predictions. The researchers concluded that AI tools underperform when compared with radiologist results.
AHRQ-funded; HS026379.
Citation: Sun J, Peng L, Li T .
Performance of a chest radiograph AI diagnostic tool for COVID-19: a prospective observational study.
Radiol Artif Intell 2022 Jul;4(4):e210217. doi: 10.1148/ryai.210217..
Keywords: COVID-19, Imaging, Diagnostic Safety and Quality, Health Information Technology (HIT)
Reese T, Wright A, Liu S
Improving the specificity of drug-drug interaction alerts: can it be done?
A lack of accuracy and specificity of medication alerts have an impact on alert fatigue, high rates of override, and harm to the patient. The drugs that activate alerts are frequently grouped inconsistently into value sets, and alerts for drug-drug interactions (DDI) often do not account for the factors that could decrease risk. The purpose of this proof-of-concept study was to identify and bring attention to the inconsistency of drug value sets for activating alerts, as well as provide a method of classifying factors that can be utilized to alter the risk of harm from a DDI. The researchers included 15 well-known DDIs, and utilized 3 drug interaction references to isolate 2 drug value sets as well as order- and patient-related factors for each DDI. The study reported 30 value sets, with 56% of value sets (17) having nonsignificant agreement, with average moderate agreement among the remaining 13 value sets. Thirty-three factors were identified that could decrease risk in 93% (14) of the 15 DDIs. The researchers concluded that the study shows the value of improving the consistency of DDI-alerting drug value sets, and ways in which alert usefulness and specificity can be improved.
AHRQ-funded; HS025984; HS023826.
Citation: Reese T, Wright A, Liu S .
Improving the specificity of drug-drug interaction alerts: can it be done?
Am J Health Syst Pharm 2022 Jun 23;79(13):1086-95. doi: 10.1093/ajhp/zxac045..
Keywords: Adverse Drug Events (ADE), Adverse Events, Medication, Clinical Decision Support (CDS), Health Information Technology (HIT)
Dullabh P, Sandberg SF, Heaney-Huls K
AHRQ Author: Berliner E, Dymek C, Harrison MI, Swiger J
Challenges and opportunities for advancing patient-centered clinical decision support: findings from a horizon scan.
This AHRQ-authored horizon scan identified challenges and opportunities for advancing patient-centered clinical decision support (PC CDS) and future directions for PC CDS. The authors engaged a technical expert panel, conducted a scoping literature review, and interviewed key informants. They quantitatively analyzed literature and interview transcripts and mapped the findings to the 4 phases translating evidence into PC CDS interventions (Prioritizing, Authoring, Implementing, and Measuring) and to external factors. Twelve challenges were identified for PC CDS development with lack of patient input identified as a critical challenge. Lack of patient-centered terminology standards was viewed as a challenge in authoring PC CDS. They also found a dearth of CDS studies that measured clinical outcomes, creating significant gaps in the understanding of PC CDS’ impact.
AHRQ-authored; AHRQ-funded; 233201500023I.
Citation: Dullabh P, Sandberg SF, Heaney-Huls K .
Challenges and opportunities for advancing patient-centered clinical decision support: findings from a horizon scan.
J Am Med Inform Assoc 2022 Jun 14;29(7):1233-43. doi: 10.1093/jamia/ocac059.
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Keywords: Clinical Decision Support (CDS), Patient-Centered Healthcare, Health Information Technology (HIT), Shared Decision Making, Patient-Centered Outcomes Research, Evidence-Based Practice
Fang Y, Idnay B, Sun Y
Combining human and machine intelligence for clinical trial eligibility querying.
This study’s objective was to combine machine efficiency and human intelligence for converting complex clinical trial eligibility criteria text into cohort queries. The machine interactive tool Criteria2Query (C2Q) 2.0 was developed to enable real-time user intervention for criteria selection and simplification, parsing error correction, and concept mapping. This tool had been previously evaluated using a curated gold standard – the annotated eligibility criteria of 1010 COVID-19 clinical trials. The usability and usefulness were evaluated by 10 research coordinators using 5 Alzheimer’s disease trials with data collected by user interaction logging, a demographic questionnaire, the Health Information Technology Usability Evaluation Scale (Health-ITUES), and a feature-specific questionnaire. C2Q 2.0 achieved a moderate usability score (3.84/5) and a high learnability score (4.54/5). Experienced researchers made more modifications to the tool than novice researchers. The most frequent modification was deletion.
AHRQ-funded; HS028752.
Citation: Fang Y, Idnay B, Sun Y .
Combining human and machine intelligence for clinical trial eligibility querying.
J Am Med Inform Assoc 2022 Jun 14;29(7):1161-71. doi: 10.1093/jamia/ocac051..
Keywords: Health Information Technology (HIT)
Norton JM, Ip A, Ruggiano N
AHRQ Author: Camara DS, Hsiao CJ, Bierman AS
Assessing progress toward the vision of a comprehensive, shared electronic care plan: scoping review.
People with multiple chronic conditions often receive care from a broad array of clinicians across multiple health care settings, making it difficult to share care plans between those facilities and providers. One method for possibly improving care for those individuals is through the development and use of comprehensive, shared, electronic care (e-care) plans. The purpose of the study was to review existing e-care plans and related initiatives that could be utilized to develop a comprehensive, shared e-care plan, and facilitate the National Institutes of Health and Agency for Healthcare Research and Quality joint initiative’s creation of e-care planning tools for people with multiple chronic conditions. The researchers conducted a review of literature from 2015-2020, as well as interviews of expert informants to identify information missing from the literature search. The study identified 7 different interventions for e-care plans and 3 different projects for health care data standards, all of which included elements which could be utilized to further the goals of developing a comprehensive, shared e-care plan. The study concluded that while none of the existing interventions met all the optimal e-care plan criteria for people with multiple chronic conditions, each plan included the infrastructure necessary to progress toward that goal. The researchers reported that gaps must first be addressed, but that a comprehensive, shared e-care plan can improve care coordination across multiple care settings and clinicians.
AHRQ-authored.
Citation: Norton JM, Ip A, Ruggiano N .
Assessing progress toward the vision of a comprehensive, shared electronic care plan: scoping review.
J Med Internet Res 2022 Jun 10;24(6):e36569. doi: 10.2196/36569..
Keywords: Chronic Conditions, Care Coordination, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Health Information Exchange (HIE)
Gallo T, Heise CW, Woosley RL
Clinician responses to a clinical decision support advisory for high risk of Torsades de pointes.
The purpose of this study was to assess provider actions taken in response to a Clinical decision support (CDS) advisory for Torsade de pointes (TdP) that uses a modified Tisdale QT risk score and presents single click management options. The researchers implemented an inpatient TdP risk advisory across a large, 30 hospital health care system. The CDS advisory was programmed to appear when prescribers attempted to order medications with a known risk of TdP in a patient. The CDS advisory displayed patient-specific information and offered related management options including canceling the requested medication and ordering relevant protocols. The study found that 7794 TdP risk advisories were issued during an 8-month period. The most frequent advisory trigger was antibiotics (33.1%.) The most frequent action taken as a result of the advisory was ordering an ECG (20.3%). Incoming medication orders were canceled in 10.2% of the advisories. The researchers concluded that a single-click, modified Tisdale QT risk score-based CDS resulted in a high action/response rate.
AHRQ-funded; HS026662.
Citation: Gallo T, Heise CW, Woosley RL .
Clinician responses to a clinical decision support advisory for high risk of Torsades de pointes.
J Am Heart Assoc 2022 Jun 7;11(11):e024338. doi: 10.1161/jaha.122.024338..
Keywords: Clinical Decision Support (CDS), Shared Decision Making, Health Information Technology (HIT), Heart Disease and Health, Cardiovascular Conditions
Vallamkonda S, Ortega CA, Lo YC
Identifying and reconciling patients' allergy information within the electronic health record.
The authors examined the prevalence of incompleteness, inaccuracy, and redundancy of allergy information within the electronic health record (EHR) for patients with a clinical encounter at any Mass General Brigham facility between January 1 and December 31, 2018. They identified 4 key places in the EHR containing reconcilable allergy information and determined that 45.2% of the patients had an active allergy entry, with 37.1% indicating a need for reconciliation.
AHRQ-funded; HS025375.
Citation: Vallamkonda S, Ortega CA, Lo YC .
Identifying and reconciling patients' allergy information within the electronic health record.
Stud Health Technol Inform 2022 Jun 6;290:120-24. doi: 10.3233/shti220044..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Adverse Drug Events (ADE), Adverse Events
Cuellar A, Pomeroy JML, Burla S
Outpatient care among users and nonusers of direct-to-patient telehealth: observational study.
The purpose of this study was to explore whether telehealth services users depend more on other forms of outpatient care vs. nonusers, and to estimate differences in payment rates between the two groups. The researchers evaluated claims data from 2017, analyzing patients with visits for 3 common diagnoses (N=660,546) and calculating the total number of visits per patient. The study reported that users of telehealth visits had .44 fewer visits to primary care, .11 fewer visits to emergency departments, and .17 fewer visits to retail and urgent care than nonusers. In addition, the average payment rates for telehealth visits were less than all other outpatient care settings. The study concluded that instead of adding to in-person care, telehealth visits may provide a less expensive alternative by substituting for some types of in-person care.
AHRQ-funded; HS025163.
Citation: Cuellar A, Pomeroy JML, Burla S .
Outpatient care among users and nonusers of direct-to-patient telehealth: observational study.
J Med Internet Res 2022 Jun 6;24(6):e37574. doi: 10.2196/37574..
Keywords: Telehealth, Health Information Technology (HIT), Ambulatory Care and Surgery
Villa Zapata L, Subbian V, Boyce RD
Overriding drug-drug interaction alerts in clinical decision support systems: a scoping review.
The authors reviewed published data on the rate of Drug-Drug Interactions (DDI) alert overrides and medications involved in the overrides. Among 34 eligible studies, they found that the override rate of DDI alerts ranged from 55% to 98%, with more than half of the studies reporting the most common drug pairs or medications involved in acceptance or overriding of alerts. They recommended decision support systems that take user, drug, and institutional factors into consideration, as well as actionable metrics to better characterize harm associated with overrides.
AHRQ-funded; HS025984; HS023826.
Citation: Villa Zapata L, Subbian V, Boyce RD .
Overriding drug-drug interaction alerts in clinical decision support systems: a scoping review.
Stud Health Technol Inform 2022 Jun 6;290:380-84. doi: 10.3233/shti220101..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Medication
Dullabh P, Heaney-Huls K, Hovey L
The technology landscape of patient-centered clinical decision support - where are we and what is needed?
This paper explores the technology landscape for patient-centered clinical decision support (PC CDS) and what has come out of Patient Centered Outcomes Research (PCOR) and health care delivery system transformation efforts. The authors explore what is needed to make it more shareable, standards-based, and publicly available with the goal of improving patient care and clinical outcomes. Three sources of information were used: (1) a 22-member technical expert panel; (2) a literature review of peer-reviewed and grey literature; and (3) key informant interviews with PC CDS stakeholders. Ten salient technical considerations that span all phases of PC CDS development were identified. Although significant progress has been made, challenges remain.
AHRQ-funded; 233201500023I.
Citation: Dullabh P, Heaney-Huls K, Hovey L .
The technology landscape of patient-centered clinical decision support - where are we and what is needed?
Stud Health Technol Inform 2022 Jun 6;290:350-53. doi: 10.3233/shti220094..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Patient-Centered Outcomes Research, Shared Decision Making
Villa Zapata L, Boyce RD, Chou E
QTc prolongation with the use of hydroxychloroquine and concomitant arrhythmogenic medications: a retrospective study using electronic health records data.
The purpose of this AHRQ-funded retrospective study of electronic health records was to assess changes in the QTc interval in patients taking hydroxychloroquine (with or without concomitant QT-prolonging medications.) Patients were placed into one of 6 cohorts, depending upon their monotherapy with one of 3 different medications: hydroxychloroquine, methotrexate, or sulfasalazine, or, based on their exposure to any combination of those drugs with any other drug known to increase the QT interval. The study concluded that compared to sulfasalazine or methotrexate, hydroxychloroquine was related with an increase in the QTc interval.
AHRQ-funded; HS025984.
Citation: Villa Zapata L, Boyce RD, Chou E .
QTc prolongation with the use of hydroxychloroquine and concomitant arrhythmogenic medications: a retrospective study using electronic health records data.
Drugs Real World Outcomes 2022 Jun 5:1-9. doi: 10.1007/s40801-022-00307-5..
Keywords: Medication, Cardiovascular Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Lieu TA, Warton EM, Levan C
Association of medical assistant-supported virtual rooming with successful video visit connections.
The purpose of this study was to systematically evaluate medical assistant-supported virtual rooming for physician video visits to address the digital divide which exists in physician video visit availability and accessibility for patients who have lower socioeconomic status (SES), low English proficiency, or are African American or Black or Latino. The study found that of the 114,214 video visits with successful connections, 14.2% had low neighborhood SES, 3.6% needed interpreters, 20.1% were Latino, and 7.9% were African American or Black. African American or Black race, Latino ethnicity, needing an interpreter, and living in a low SES neighborhood were associated with a lower likelihood of connecting. The researchers concluded that medical assistant–supported virtual rooming was associated with successful video visit connections in this diverse population. High medical assistant supported rooming rates were associated with larger connection improvements for patients at higher risk of not connecting, including those with lower SES, of Latino ethnicity or African American or Black race, or needing interpreters.
AHRQ-funded; HS025189.
Citation: Lieu TA, Warton EM, Levan C .
Association of medical assistant-supported virtual rooming with successful video visit connections.
JAMA Intern Med 2022 Jun;182(6):680-82. doi: 10.1001/jamainternmed.2022.1032..
Keywords: Quality Improvement, Quality of Care, Telehealth, Health Information Technology (HIT), Clinician-Patient Communication, Communication, Healthcare Delivery
Bardach NS, Stotts JR, Fiore DM
Family Input for Quality and Safety (FIQS): using mobile technology for in-hospital reporting from families and patients.
This study’s goal was to test a real-time mobile-responsive website called Family Input for Quality and Safety (FIQS) for inpatient reporting from families and patients. The tool was piloted from June 2017 to April 2018 on the medical-surgical unit of a children’s hospital. The authors enrolled 253 patients aged 13 and older and patient family members. This resulted in 8.15 safety reports/100 patient-days, most frequently regarding medications (29% of reports) and communication (20% of reports). Fifty-one reports met incident reporting (IR) criteria with only 1 having been reported via the IR system. White participants submitted more observations than Latinx participants.
AHRQ-funded; HS028477; HS024553.
Citation: Bardach NS, Stotts JR, Fiore DM .
Family Input for Quality and Safety (FIQS): using mobile technology for in-hospital reporting from families and patients.
J Hosp Med 2022 Jun;17(6):456-65. doi: 10.1002/jhm.2777..
Keywords: Quality of Care, Patient Safety, Health Information Technology (HIT), Patient and Family Engagement