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) (1)
- Adverse Events (3)
- Back Health and Pain (1)
- Cancer (16)
- Cancer: Breast Cancer (8)
- Cancer: Colorectal Cancer (1)
- Cancer: Prostate Cancer (2)
- Cancer: Skin Cancer (1)
- Cardiovascular Conditions (5)
- Clinical Decision Support (CDS) (1)
- Communication (1)
- Comparative Effectiveness (2)
- COVID-19 (2)
- Dementia (1)
- Diagnostic Safety and Quality (29)
- Digestive Disease and Health (2)
- Disabilities (1)
- Disparities (2)
- Education: Continuing Medical Education (1)
- Elderly (2)
- Electronic Health Records (EHRs) (3)
- Emergency Department (4)
- Evidence-Based Practice (5)
- Guidelines (2)
- Healthcare Utilization (2)
- Health Information Technology (HIT) (6)
- Heart Disease and Health (5)
- Hospital Readmissions (1)
- Hospitals (2)
- (-) Imaging (47)
- Low-Income (1)
- Medical Errors (2)
- Medication (1)
- Men's Health (1)
- Neurological Disorders (1)
- Orthopedics (2)
- Outcomes (2)
- Pain (1)
- Patient-Centered Outcomes Research (4)
- Patient Adherence/Compliance (1)
- Patient Safety (7)
- Practice Patterns (1)
- Prevention (3)
- Primary Care (1)
- Provider (1)
- Provider: Clinician (1)
- Provider: Physician (1)
- Provider Performance (1)
- Quality Improvement (2)
- Quality of Care (3)
- Racial and Ethnic Minorities (3)
- Research Methodologies (1)
- Respiratory Conditions (1)
- Risk (3)
- Screening (10)
- Sex Factors (1)
- Shared Decision Making (3)
- Skin Conditions (2)
- Surgery (2)
- Training (2)
- Trauma (1)
- Urban Health (1)
- Women (9)
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 47 Research Studies DisplayedPeng L, Luo G, Walker A
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.
The goals of this study were to compare a single-site, COVID-19 computer diagnosis system that used the Federated Averaging (FedAvg) algorithm with 3-client Federated learning (FL) models, and to evaluate the performance of the four FL variations. Researchers leveraged a FL healthcare collaborative that included data from five US and European healthcare systems encompassing 42 hospitals. They concluded that FedAvg could significantly improve generalization of the model in comparison with other personalization FL algorithms--FedProx, FedBN, and FedAMP--but at the cost of poor internal validity.
AHRQ-funded; HS026379.
Citation: Peng L, Luo G, Walker A .
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.
J Am Med Inform Assoc 2022 Dec 13;30(1):54-63. doi: 10.1093/jamia/ocac188..
Keywords: COVID-19, Diagnostic Safety and Quality, Imaging, Hospitals
Kim HS, Hernaez R, Sansgiry S
Comparative effectiveness of surveillance colonoscopy intervals on colorectal cancer outcomes in a national cohort of patients with inflammatory bowel disease.
The purpose of this study was to determine the comparative effectiveness of varying colonoscopy intervals on colorectal cancer (CRC) outcomes among patients with inflammatory bowel disease (IBD). Data was from the National Veterans Health Administration. Findings showed that, in a national cohort of patients with CRC-IBD, colonoscopy within 3 years prior to CRC diagnosis was associated with early tumor stage at diagnosis, and colonoscopy within 1 year was associated with a reduced all-cause mortality compared with no colonoscopy, supporting colonoscopy intervals of 1 to 3 years in patients with IBD in order to reduce late-stage CRC and all-cause mortality.
AHRQ-funded; HS024122.
Citation: Kim HS, Hernaez R, Sansgiry S .
Comparative effectiveness of surveillance colonoscopy intervals on colorectal cancer outcomes in a national cohort of patients with inflammatory bowel disease.
Clin Gastroenterol Hepatol 2022 Dec;20(12):2848-57.e2. doi: 10.1016/j.cgh.2022.02.048..
Keywords: Cancer: Colorectal Cancer, Cancer, Digestive Disease and Health, Imaging, Screening, Comparative Effectiveness, Evidence-Based Practice, Patient-Centered Outcomes Research
Wu A, Wu JY, Lim M
Updates in intraoperative strategies for enhancing intra-axial brain tumor control.
This review looked at recent advances in intraoperative strategies for enhancing intra-axial brain tumor control. The authors looked at published research centered on different innovative tools and techniques, including fluorescence-guided surgery, new methods of drug delivery, and minimally invasive procedural options.
AHRQ-funded; HS028747.
Citation: Wu A, Wu JY, Lim M .
Updates in intraoperative strategies for enhancing intra-axial brain tumor control.
Neuro Oncol 2022 Nov 2;24(suppl 6):S33-S41. doi: 10.1093/neuonc/noac170..
Keywords: Cancer, Surgery, Imaging
Marcaccio CL, Patel PB, de Guerre L
Disparities in 5-year outcomes and imaging surveillance following elective endovascular repair of abdominal aortic aneurysm by sex, race, and ethnicity.
The purpose of this study was to identify variations in 5-year outcomes and imaging surveillance after elective endovascular aortic aneurysm repair (EVAR) by sex, race, and ethnicity and to examine possible mechanisms contributing to these variations. The primary outcome was 5-year aneurysm rupture. Secondary outcomes were 5-year reintervention and mortality, and having no aortic imaging follow-up from 6 to 24 months after EVAR. The study found that among 16,040 patients, 73% were White males, 18% were White females, 2.6% were Black males, 1.1% were Black females, 0.9% were Asian males, 0.2% were Asian females, 1.7% were Hispanic males, and 0.4% were Hispanic females. At 5 years, Black females had the highest rupture rates at 6.4% and white males had the lowest at 2.3%. Compared with White males, rupture rates were higher in White females, Black females, and Asian females. Among other groups, Black males had higher reintervention and both Black and Hispanic males had higher rates of no imaging follow-up. In adjusted analyses, White, Black, and Asian females remained at significantly higher risk for 5-year rupture. The researchers concluded that Black females had higher 5-year aneurysm rupture, reintervention, and mortality rates after elective EVAR as compared with White male patients, whereas White females had higher rupture, mortality and loss-to-imaging-follow-up compared to White male patients. Black males had higher reintervention and no imaging follow-up, and Asian females had higher rupture rates.
AHRQ-funded; HS027285.
Citation: Marcaccio CL, Patel PB, de Guerre L .
Disparities in 5-year outcomes and imaging surveillance following elective endovascular repair of abdominal aortic aneurysm by sex, race, and ethnicity.
J Vasc Surg 2022 Nov;76(5):1205-15.e4. doi: 10.1016/j.jvs.2022.03.886..
Keywords: Disparities, Racial and Ethnic Minorities, Sex Factors, Outcomes, Imaging, Heart Disease and Health, Cardiovascular Conditions
Luximon DC, Ritter T, Fields E
Development and interinstitutional validation of an automatic vertebral-body misalignment error detector for cone-beam CT-guided radiotherapy.
The purpose of this study was to develop an automatic error detection algorithm that uses a three-branch convolutional neural network error detection model (EDM) to detect off-by-one vertebral-body misalignments using planning computed tomography (CT) images and setup CBCT images. The researchers collected algorithm training and test data from 480 patients undergoing radiotherapy treatment at two radiotherapy clinics. One model (EDM(1) ) was trained solely on data from institution 1. EDM(1) was further trained on a dataset from institution 2 to produce a fine-tuned model, EDM(2) . Another model, EDM(3), was trained using a training dataset composed of data from both institutions. The study found that when applied to the combined test set, EDM(1) , EDM(2) , and EDM(3) resulted in an area under curve of 99.5%, 99.4%, and 99.5%, respectively. EDM(1) achieved a sensitivity of 96% and 88% on Institution 1 and Institution 2 test set, respectively. EDM(2) obtained a sensitivity of 95% on each institution's test set. EDM(3) achieved a sensitivity of 95% and 88% on Institution 1 and Institution 2 test set, respectively. The researchers concluded that in CBCT-guided radiotherapy, the proposed algorithm demonstrated accuracy in identifying off-by-one vertebral-body misalignments that was sufficiently high enough to justify implementation in practice.
AHRQ-funded; HS026486.
Citation: Luximon DC, Ritter T, Fields E .
Development and interinstitutional validation of an automatic vertebral-body misalignment error detector for cone-beam CT-guided radiotherapy.
Med Phys 2022 Oct;49(10):6410-23. doi: 10.1002/mp.15927..
Keywords: Imaging, Diagnostic Safety and Quality, Medical Errors, Patient Safety
Ross RL, Rubio K, Rodriguez HP
Mammography and decision aid use for breast cancer screening in older women.
This study examines the association between practice-level decision-aid use and mammography use among older women. Physician practice responses to the 2017/2018 National Survey of Healthcare Organizations and Systems were linked to 2016-17 Medicare fee-for-service beneficiary data from eligible beneficiaries aged 65-74 years. Findings showed that health information technology-enabled automation of mammography reminders and other advanced health information technology functions may support mammography, whereas breast cancer decision aids may reduce patients' propensities to be screened through the alignment of their preferences and screening decision.
AHRQ-funded; HS022241; HS024075.
Citation: Ross RL, Rubio K, Rodriguez HP .
Mammography and decision aid use for breast cancer screening in older women.
Am J Prev Med 2022 Oct;63(4):630-35. doi: 10.1016/j.amepre.2022.04.014..
Keywords: Imaging, Screening, Shared Decision Making, Cancer: Breast Cancer, Women, Prevention, Cancer, Elderly
Holcomb J, Ferguson GM, Sun J
Stakeholder engagement in adoption, implementation, and sustainment of an evidence-based intervention to increase mammography adherence among low-income women.
The purpose of this document review study was to create a conceptual framework to guide stakeholder engagement in an evidence-based intervention to increase mammography appointment adherence in underserved and low-income women. The document review results were aligned with the constructs of the conceptual framework and an application of stakeholder engagement in an evidence-based mammography intervention. The researchers concluded that both the conceptual framework constructs and the stakeholder engagement strategies can be utilized across a range of organizations, programs, and settings.
AHRQ-funded; HS023255.
Citation: Holcomb J, Ferguson GM, Sun J .
Stakeholder engagement in adoption, implementation, and sustainment of an evidence-based intervention to increase mammography adherence among low-income women.
J Cancer Educ 2022 Oct;37(5):1486-95. doi: 10.1007/s13187-021-01988-2..
Keywords: Evidence-Based Practice, Screening, Imaging, Women, Low-Income, Patient Adherence/Compliance
Mattioli DD, Thomas GW, Long SA
Minimally trained analysts can perform fast, objective assessment of orthopedic technical skill from fluoroscopic images.
The purpose of this study was to test a new system designed to facilitate rapid, inexpensive, repeatable, and precise analysis of intraoperative fluoroscopic images by minimally trained analysts as a means of objectively assessing orthopedic surgical skills. The study included 4 expert and 4 novice analysts who independently measured one objective metric for skill using both the custom analysis software and a commercial alternative. The study found that in comparison to the expert analysts utilizing the commercial software, the novice analysts were able to measure the objective metric three times faster when utilizing the custom software, and without a practical difference in accuracy.
AHRQ-funded; HS025353.
Citation: Mattioli DD, Thomas GW, Long SA .
Minimally trained analysts can perform fast, objective assessment of orthopedic technical skill from fluoroscopic images.
IISE Trans Healthc Syst Eng 2022;12(3):212-20. doi: 10.1080/24725579.2022.2035022..
Keywords: Orthopedics, Imaging
Odeh Couvertier V, Patterson Patterson, Zayas-Cabán G
Association between advanced image ordered in the emergency department on subsequent imaging for abdominal pain patients.
The purpose of this retrospective, observational study was to evaluate abdominal pain patients discharged from the ED to determine the association between advanced emergency department (ED) imaging on subsequent outpatient imaging and on revisits. The researchers utilized the electronic health records of Medicare patients who presented with a complaint of abdominal pain at a United States academic emergency department. The study found that participants who were not imaged at the ED had significantly higher adjusted odds of being imaged outside of the ED within 7, 14, and 28 days of being discharged, and had a significantly higher adjusted odds of returning to the study ED and visiting any ED within 30 days of being discharged. The study concluded that receiving abdominal imaging services in the ED was related with significantly lower imaging use after discharge.
AHRQ-funded; HS024558.
Citation: Odeh Couvertier V, Patterson Patterson, Zayas-Cabán G .
Association between advanced image ordered in the emergency department on subsequent imaging for abdominal pain patients.
Acad Emerg Med 2022 Sep;29(9):1078-83. doi: 10.1111/acem.14541..
Keywords: Imaging, Emergency Department, Diagnostic Safety and Quality, Hospital Readmissions
Golmakani MK, Hubbard RA, Miglioretti DL
Nonhomogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests.
This study addressed the general challenge of estimating the cumulative risk of multiple false positive test results. The authors proposed a nonhomogeneous multistate model to describe the screening process including competing events and developed alternative approaches for estimating the cumulative risk of multiple false positive results using this multistate model based on existing estimators for the cumulative risk of a single false positive. The multistate model was based on existing estimators for the cumulative risk of a single false positive. They compared the performance of the newly proposed models through simulation studies and illustrated model performance using data on screening mammography from the Breast Cancer Surveillance Consortium. They found that in the context of screening mammography that the cumulative risk of multiple false positive results is high. For a high-risk individual, the cumulative probability of at least two false positive mammography results after 10 rounds of annual screening is 40.4.
AHRQ-funded; HS018366.
Citation: Golmakani MK, Hubbard RA, Miglioretti DL .
Nonhomogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests.
Biometrics 2022 Sep;78(3):1244-56. doi: 10.1111/biom.13484..
Keywords: Research Methodologies, Screening, Imaging, Cancer: Breast Cancer, Cancer
Williams JP, Nathanson R, LoPresti CM
Current use, training, and barriers in point-of-care ultrasound in hospital medicine: a national survey of VA hospitals.
This study aimed to characterize current point-of-care ultrasound (POCUS) use, training needs, and barriers to use among hospital medicine groups (HMGs). This prospective observation study looked at all Veterans Affairs (VA) medical centers from August 2019 to March 2020 using a web-based survey sent to all chiefs of HMGs. There was a 90% response rate from 117 HMGs. Procedural POCUS use decreased by 19% from 2015 to 2020 but increased for diagnostic use for cardiac (8%), pulmonary (7%), and abdominal (8%) applications. The most common barrier to POCUS use was lack of training (89%), with only 34% of HMGs having access to POCUS training. Access to ultrasound equipment was the least common barrier at 57%, however with the proportion of HMGs with ≥1 ultrasound machine increasing from 29% to 71% from 2015 to 2020. In 2020 an average of 3.6 ultrasound devices per HMG was available, and 45% were handheld devices.
AHRQ-funded; HS025979.
Citation: Williams JP, Nathanson R, LoPresti CM .
Current use, training, and barriers in point-of-care ultrasound in hospital medicine: a national survey of VA hospitals.
J Hosp Med 2022 Aug;17(8):601-08. doi: 10.1002/jhm.12911..
Keywords: Imaging, Training, Hospitals, Diagnostic Safety and Quality, Provider: Clinician
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)
Kerlikowske K, Su YR, Sprague BL
Association of screening with digital breast tomosynthesis vs digital mammography with risk of interval invasive and advanced breast cancer.
The purpose of this study was to compare digital breast tomosynthesis (DBT) with digital mammography to determine whether DBT was correlated with lower rates of internal invasive cancer and advanced breast cancer, taking into consideration breast density and breast cancer risk. From 2011 through 2018, the researchers studied a cohort of 504,427 women between the ages of 40 and 79 who underwent 375,189 screening DBT exams and 1,003,900 screening digital mammography exams, and who were then followed up for cancer diagnoses between 2011 and 2019 after being identified via linkage to state or regional cancer registries. The median age at the time of screening was 58 years (IQR 50-65 years) and the diagnostic screenings took place at 44 Breast Cancer Surveillance Consortium (BCSC) facilities in the United States. The study found that among women at low to average risk, or at high risk with almost entirely fatty, scattered fibroglandular densities, or heterogeneously dense breasts, advanced cancer rates were not significantly different for DBT vs digital mammography. There was no significant difference between DBT and digital mammography for interval cancer rates per 1000 exams. Interval invasive cancer rates were also not significantly different among the 413,061 examinations with BCSC 5-year risk of 1.67% or higher (high risk) across breast density categories, or among all the 836,250 examinations with BCSC 5-year risk less than 1.67% (low to average-risk). For the 3.6% of women with extremely dense breasts and at high risk of breast cancer (13,291 examinations in the DBT group and 31,300 in the digital mammography group) advanced cancer rates per 1000 examinations were significantly lower for DBT vs digital mammography, but not for women at low to average risk (10,611 examinations in the DBT group and 37,796 in the digital mammography group). The researchers reported that there was no significant difference in the 96.4% of women with extremely dense breasts not at high risk, heterogeneously dense breasts, or nondense breasts, and concluded that screening with DBT vs digital mammography was associated with a significantly lower risk of advanced breast cancer among the 3.6% of women with extremely dense breasts and at high risk of breast cancer, and was not associated with a significant difference in risk of interval invasive cancer.
AHRQ-funded; HS018366.
Citation: Kerlikowske K, Su YR, Sprague BL .
Association of screening with digital breast tomosynthesis vs digital mammography with risk of interval invasive and advanced breast cancer.
JAMA 2022 Jun 14;327(22):2220-30. doi: 10.1001/jama.2022.7672..
Keywords: Cancer: Breast Cancer, Cancer, Screening, Women, Imaging, Risk
Lacson R, Khorasani R, Fiumara K
Collaborative case review: a systems-based approach to patient safety event investigation and analysis.
The objectives of this study were to assess a system-based approach to event investigation and analysis--collaborative case reviews (CCRs)--and to measure impact of clinical specialty on strength of action items prescribed. The institutional review board-approved study describes the program, including a percentage of CCR from an institutional Electronic Safety Reporting System. Findings showed that an integrated multispecialty CCR co-led by the radiology department and an institutional patient safety program was associated with a higher proportion of CCR, stronger action items, and higher action item completion rate versus other hospital departments.
AHRQ-funded; HS024722.
Citation: Lacson R, Khorasani R, Fiumara K .
Collaborative case review: a systems-based approach to patient safety event investigation and analysis.
J Patient Saf 2022 Mar 1;18(2):e522-e27. doi: 10.1097/pts.0000000000000857..
Keywords: Patient Safety, Adverse Events, Diagnostic Safety and Quality, Imaging
Tice JA, Gard CC, Miglioretti DL
Comparing mammographic density assessed by digital breast tomosynthesis or digital mammography: the Breast Cancer Surveillance Consortium.
This study’s purpose was to assess the consistency of Breast Imaging Reporting and Data System (BI-RADS) breast density reporting comparing digital breast tomosynthesis (DBT) with digital mammography (DM) and to evaluate density as a breast cancer risk factor when assessed using DM versus DBT. A secondary analysis of data from the Breast Cancer Surveillance Consortium was used from 342,149 women aged 40-79 years who underwent at least two screening mammography examinations less than 36 months apart. There were no significant differences in breast density assessment in pairs consisting of one DM and one DBT examination (57,516 of 74,729 [77%]), two DM examinations (238,678 of 301,743 [79%]), and two DBT examinations (20,763 of 26,854). Results were similar when pair analysis was restricted to readings by the same radiologist. The breast cancer hazard ratios (HRs) for breast density were similar for DM and DBT. The HRs for density acquired using DM and DBT, respectively, were 0.55 and 0.37 for almost entirely fat, 1.47 and 1.36 for heterogeneously dense, and 1.72 and 2.05 for extremely dense breasts.
AHRQ-funded; HS018366.
Citation: Tice JA, Gard CC, Miglioretti DL .
Comparing mammographic density assessed by digital breast tomosynthesis or digital mammography: the Breast Cancer Surveillance Consortium.
Radiology 2022 Feb; 302(2):286-92. doi: 10.1148/radiol.2021204579..
Keywords: Cancer: Breast Cancer, Cancer, Women, Imaging, Screening, Diagnostic Safety and Quality
Aneja S, Chang E, Omuro A
Applications of artificial intelligence in neuro-oncology.
This article explores the promise that artificial intelligence algorithms has for improving understanding of brain tumors and help drive future innovations in neuro-oncology.
AHRQ-funded; HS023000.
Citation: Aneja S, Chang E, Omuro A .
Applications of artificial intelligence in neuro-oncology.
Curr Opin Neurol 2019 Dec;32(6):850-56. doi: 10.1097/wco.0000000000000761.
.
.
Keywords: Health Information Technology (HIT), Cancer, Diagnostic Safety and Quality, Imaging
Lacson R, Gujrathi I, Healey M
Closing the loop on unscheduled diagnostic imaging orders: a systems-based approach.
This study looked at the impact of implementing a tool called SCORE (System for Coordinating Orders for Radiology Exams), whose objective is to manage unscheduled orders for outpatient diagnostic imaging in an electronic health record (EHR) with embedded computerized physician order entry. The rate of unscheduled imaging orders was compared before SCORE (October 2017 to September 2018) and after (October 2018 to June 2019). There was a 49% reduction in unscheduled orders after SCORE implementation at a large academic institution.
AHRQ-funded; HS024722.
Citation: Lacson R, Gujrathi I, Healey M .
Closing the loop on unscheduled diagnostic imaging orders: a systems-based approach.
J Am Coll Radiol 2021 Jan;18(1 Pt A):60-67. doi: 10.1016/j.jacr.2020.09.031..
Keywords: Imaging, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Levy AE, Shah NR, Matheny ME
Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: implications for natural language processing tools.
The authors investigated whether Natural Language Processing (NLP) tools could potentially help estimate myocardial perfusion imaging (MPI) risk. Subjects were VA patients who underwent stress MPI and coronary angiography 2009-11; stress test reports were randomly selected for analysis. The authors found that post-test ischemic risk was determinable but rarely reported in this sample of stress MPI reports. They conclude that this supports the potential use of NLP to help clarify risk and recommend further study of NLP in this context.
AHRQ-funded; HS022998.
Citation: Levy AE, Shah NR, Matheny ME .
Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: implications for natural language processing tools.
J Nucl Cardiol 2019 Dec;26(6):1878-85. doi: 10.1007/s12350-018-1275-y..
Keywords: Imaging, Risk, Clinical Decision Support (CDS), Health Information Technology (HIT), Diagnostic Safety and Quality, Cardiovascular Conditions, Heart Disease and Health
Montgomery KB, Holder AM, Burgan CM
Is it time for synoptic reporting in melanoma nodal surveillance ultrasonography?
Previous qualitative research has identified a potential gap between surgeons’ and radiologists’ awareness of Second Multicenter Selective Lymphadenectomy Trial (MSLT-II) criteria. The purpose of this study was to explore how these criteria have been adopted and reported outside of clinical trial settings or utilized by surgical teams when interpreting ultrasound results. The study found that of the 269 nodal ultrasounds performed in 78 patients, 81.0% reported normal findings versus 19% abnormal findings. Researchers indicated that only 15% of normal ultrasounds had one or more MSLT-II criteria reported versus 88.9% abnormal ultrasounds. While 37% of abnormal ultrasounds had only one MSLT-II criterion reported, 27.8% had two criteria and 24.1% had three criteria. Of the eight abnormal ultrasounds with biopsy recommendation, 75% had two or more MSLT-II criteria reported. Clinically actionable recommendations were provided in 94.9% of normal ultrasounds compared with 64.8% of abnormal ultrasounds.
AHRQ-funded; HS013852.
Citation: Montgomery KB, Holder AM, Burgan CM .
Is it time for synoptic reporting in melanoma nodal surveillance ultrasonography?
Ann Surg Oncol 2023 Sep; 30(9):5327-28. doi: 10.1245/s10434-023-13749-0..
Keywords: Cancer: Skin Cancer, Cancer, Skin Conditions, Imaging
O'Reilly-Jacob M, Perloff J, Buerhaus P
Comparing the rates of low-value back images ordered by physicians and nurse practitioners for Medicare beneficiaries in primary care.
This study measures the rates of low-value back images ordered by primary care physicians and nurse practitioners for Medicare beneficiaries, and there was no detectable difference between the two groups in 2012 and 2013.
AHRQ-funded; HS00062.
Citation: O'Reilly-Jacob M, Perloff J, Buerhaus P .
Comparing the rates of low-value back images ordered by physicians and nurse practitioners for Medicare beneficiaries in primary care.
Nurs Outlook 2019 Nov - Dec;67(6):713-24. doi: 10.1016/j.outlook.2019.05.005..
Keywords: Imaging, Back Health and Pain, Primary Care, Imaging, Pain
Ray X, Bojechko C, Moore KL
Evaluating the sensitivity of Halcyon's automatic transit image acquisition for treatment error detection: a phantom study using static IMRT.
The Varian Halcyon electronic portal imaging detector is always in-line with the beam and automatically acquires transit images for every patient with full-field coverage. These images could be used for "every patient, every monitor unit" quality assurance (QA) and eventually adaptive radiotherapy. This study evaluated the imager's sensitivity to potential clinical errors and day-to-day variations from clinical exit images.
AHRQ-funded; HS025440.
Citation: Ray X, Bojechko C, Moore KL .
Evaluating the sensitivity of Halcyon's automatic transit image acquisition for treatment error detection: a phantom study using static IMRT.
J Appl Clin Med Phys 2019 Nov;20(11):131-43. doi: 10.1002/acm2.12749..
Keywords: Imaging, Quality of Care
Kang SK, Garry K, Chung R
Natural language processing for identification of incidental pulmonary nodules in radiology reports.
The authors developed natural language processing (NLP) to identify incidental lung nodules (ILNs) in radiology reports for assessment of management recommendations using the electronic health records for patients who underwent chest CT before and after implementation of a department-wide dictation macro of the Fleischner Society recommendations. They concluded that NLP reliably automates identification of ILNs in unstructured reports, pertinent to quality improvement efforts for ILN management.
AHRQ-funded; HS024376.
Citation: Kang SK, Garry K, Chung R .
Natural language processing for identification of incidental pulmonary nodules in radiology reports.
J Am Coll Radiol 2019 Nov;16(11):1587-94. doi: 10.1016/j.jacr.2019.04.026..
Keywords: Imaging, Diagnostic Safety and Quality, Health Information Technology (HIT), Electronic Health Records (EHRs), Quality Improvement, Quality of Care
Fu Y, Wu X, Thomas AM
Automatic large quantity landmark pairs detection in 4DCT lung images.
A new method was developed to automatically and precisely detect a large quantity of landmark pairs between lung computed tomography (CT) image pairs. The detected landmark pairs could be used as benchmark datasets for more accurate and informative quantitative evaluation of DIR algorithms. Target registration errors (TREs) were measured for 300 manually labeled landmark pairs in 10 lung 4DCT benchmark datasets (DIRLAB) with 97% of landmark pairs having a TRE smaller than 2 mm.
AHRQ-funded; HS022888.
Citation: Fu Y, Wu X, Thomas AM .
Automatic large quantity landmark pairs detection in 4DCT lung images.
Med Phys 2019 Oct;46(10):4490-501. doi: 10.1002/mp.13726..
Keywords: Imaging, Diagnostic Safety and Quality
Mower WR, Crisp JG, Krishnadasan A
Effect of initial bedside ultrasonography on emergency department skin and soft tissue infection management.
Researchers examined the utility of emergency department (ED) ultrasonography in treatment of skin and soft tissue infections. Study participants were ED patients with skin and soft tissue infections; the study also surveyed clinicians with regard to their pre-ultrasonography certainty about the presence or absence of an abscess, their planned management, post-ultrasonography findings, and actual management. The researchers found that ultrasonography rarely changed management when clinicians were certain about the presence or absence of an abscess. When clinicians were uncertain, ultrasonography changed drainage decisions in approximately one quarter of cases, of which most were appropriate.
AHRQ-funded; HS009699.
Citation: Mower WR, Crisp JG, Krishnadasan A .
Effect of initial bedside ultrasonography on emergency department skin and soft tissue infection management.
Ann Emerg Med 2019 Sep;74(3):372-80. doi: 10.1016/j.annemergmed.2019.02.002..
Keywords: Emergency Department, Imaging, Skin Conditions
Moore CL, Carpenter CR, Heilbrun ME
Imaging in suspected renal colic: systematic review of the literature and multispecialty consensus.
This study conducted a Delphi process consensus on 29 specific clinical scenarios when kidney stones are suspected due to renal colic. The authors wanted to create an evidence-based, multispecialty consensus on optimal imaging for suspected renal colic in the acute setting. A 9-member panel was conducted with 3 physician representatives from the American College of Emergency Physicians (ACEP), 3 from the American College of Radiology, and 3 from the American Urology Association. First a systematic literature review was conducted. Out of 6,337 records, there were 232 relevant articles. Out of the 29 clinical scenarios examined, 15 were rated as perfect, 8 were excellent, and 3 good and 3 moderate.
AHRQ-funded; HS023778.
Citation: Moore CL, Carpenter CR, Heilbrun ME .
Imaging in suspected renal colic: systematic review of the literature and multispecialty consensus.
Ann Emerg Med 2019 Sep;74(3):391-99. doi: 10.1016/j.annemergmed.2019.04.021..
Keywords: Imaging, Diagnostic Safety and Quality, Emergency Department