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Fenton JJ, Cipri C, Gosdin M, Tancredi DJ, Jerant A, Robinson CA, Xing G, Fridman I, Weinberg G, Hudnut A. Standardized Patient Communication and Low-Value Spinal Imaging: A Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2441826. [PMID: 39504026 PMCID: PMC11541634 DOI: 10.1001/jamanetworkopen.2024.41826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 09/02/2024] [Indexed: 11/09/2024] Open
Abstract
Importance Acute back pain is a common reason for primary care visits and often results in low-value spinal imaging. Objective To evaluate the effect of a standardized patient-delivered intervention on rates of low-value spinal imaging among primary care patients with acute low back pain. Design, Setting, and Participants In this randomized clinical trial, physicians or advanced practice clinicians were recruited from March 22 to August 5, 2021, from 10 adult primary care or urgent care clinics in Sacramento, California. The intervention period was from May 1, 2021, to March 30, 2022, with follow-up from October 28, 2021, to June 30, 2023. Analyses were performed from April 1 to June 25, 2024. Intervention Clinicians were randomized 1:1 to intervention or control. Intervention clinicians received 3 simulated office visits, each with a standardized patient instructor (SPI) portraying a patient with acute uncomplicated back pain. At each visit, SPIs provided clinician feedback guided by a 3-step model: (1) set the stage for deferred imaging by building trust, (2) convey empathy, and (3) communicate optimism while advocating watchful waiting without imaging. Control clinicians received no intervention. Main Outcomes and Measures The primary outcome was lumbar spinal imaging completion within 90 days of acute low back pain visits, with study clinicians assessed up to 18 months of follow-up. Secondary outcomes were cervical spine imaging completion after acute neck pain visits, any imaging completion after an adult visit, patient experience ratings of clinicians (scale range, 0-100), and use of targeted communication skills during an audio-recorded standardized patient evaluation visit at median follow-up of 16.8 months (range, 14.1-18.0 months). Results The analysis included 53 clinicians; mean (SD) age was 46.7 (1.0) years, and 35 (66.0%) reported female gender. A total of 25 were in the intervention group and 28 in the control group. After adjustment for prerandomization rates, patients with acute low back pain who saw intervention and control clinicians during follow-up had similar rates of lumbar imaging (194 of 1234 clinic visits [15.7%] vs 226 of 1306 clinic visits [17.3%]; adjusted ratio of postintervention vs preintervention odds ratios [AORR], 1.00; 95% CI, 0.72-1.40). Adjusted follow-up rates of imaging for acute neck pain (AORR, 1.16; 95% CI, 0.83-1.63) and overall imaging (AORR, 1.07; 95% CI, 0.97-1.19) were not significantly different among patients of intervention and control clinicians. Intervention and control clinicians had similar mean (SD) patient experience ratings during follow-up (88.6 [28.7] vs 88.8 [28.3]; adjusted mean difference-in-differences, -1.0; 95% CI, -3.0 to 0.9). During audio-recorded standardized patient visits, intervention clinicians had significantly better ratings than controls on eliciting the patient's perspective (adjusted standardized difference [ASD], 0.62; 95% CI, 0.05-1.19) and conveying empathy (ASD, 1.16; 95% CI, 0.55-1.77). Conclusions and Relevance In this randomized clinical trial of an educational intervention using simulated office visits to encourage a watchful waiting approach for acute low back pain, the intervention had no significant effect on low-value spinal imaging rates or patient experience ratings. Trial Registration ClinicalTrials.gov Identifier: NCT04255199.
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Affiliation(s)
- Joshua J. Fenton
- Department of Family and Community Medicine, University of California, Davis, Sacramento
- The Center for Healthcare Policy and Research, University of California, Davis, Sacramento
- School of Medicine, University of California, Davis, Sacramento
| | - Camille Cipri
- The Center for Healthcare Policy and Research, University of California, Davis, Sacramento
| | - Melissa Gosdin
- The Center for Healthcare Policy and Research, University of California, Davis, Sacramento
| | - Daniel J. Tancredi
- The Center for Healthcare Policy and Research, University of California, Davis, Sacramento
- School of Medicine, University of California, Davis, Sacramento
- Department of Pediatrics, University of California, Davis, Sacramento
| | - Anthony Jerant
- Department of Family and Community Medicine, University of California, Davis, Sacramento
- The Center for Healthcare Policy and Research, University of California, Davis, Sacramento
- School of Medicine, University of California, Davis, Sacramento
| | | | - Guibo Xing
- The Center for Healthcare Policy and Research, University of California, Davis, Sacramento
| | - Ilona Fridman
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill
| | - Gary Weinberg
- The Center for Healthcare Policy and Research, University of California, Davis, Sacramento
| | - Andrew Hudnut
- Sutter Institute for Medical Research, Sacramento, California
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Tsang CLN, Luong D, Stapleton T. Systematic review of interventions aimed at improving the quality of referrals to radiology. J Med Imaging Radiat Oncol 2024; 68:687-695. [PMID: 39228152 DOI: 10.1111/1754-9485.13736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Accepted: 07/12/2024] [Indexed: 09/05/2024]
Abstract
Despite ubiquitous use of medical imaging in daily medical practice, the quality of referrals varies significantly across a variety of practice types and locations. This systematic review summarises studies in the literature that have employed interventions aimed at improving radiology referrals, excluding clinical decision support software. A systematic review of literature was conducted in PubMed, EMBASE, Scopus, and Cochrane. Two reviewers independently identified studies for inclusion. All studies that included interventions with any outcome measure were included. Any irrelevant studies, non-English studies or not retrievable studies were excluded. Studies were grouped into Education, Feedback, Rationing, Penalties, and Other. The outcomes of the studies were summarised and qualitatively analysed due to anticipated heterogeneity. Four thousand six hundred and forty-two studies were identified throughout PubMed, EMBASE, Scopus, and Cochrane. One hundred and eighty-seven duplicates were removed and 4436 abstracts were screened. Two hundred and forty were identified on the first phase of the screening with 167 then excluded for non-relevancy. Seventy-five full studies were included in the final analysis following the addition of 2 additional studies. Fifty-seven studies were grouped into Education, 10 into Feedback, 4 into Rationing, 8 into Penalties, 9 into Other and 11 containing multiple. Eighty-four percent of the studies reported an improvement in the quality of the referrals. Despite a variable rate of quality referrals, there are many interventions that radiology departments across the world can utilise to improve the referral process.
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Affiliation(s)
- Chi Lap Nicholas Tsang
- Department of Medical Imaging, Sunshine Coast University Hospital, Birtinya, Queensland, Australia
| | - David Luong
- Department of Medical Imaging, Sunshine Coast University Hospital, Birtinya, Queensland, Australia
| | - Troy Stapleton
- Department of Medical Imaging, Sunshine Coast University Hospital, Birtinya, Queensland, Australia
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Rosovsky RP, Isabelle M, Abbasi N, Vetrano N, Saini S, Dutta S, Lucier D, Sharma A, Hunsaker A, Hochberg S, Raja AS, Khorasani R, Lacson R. CT Pulmonary Angiogram Clinical Pretest Probability Tool: Impact on Emergency Department Utilization. J Am Coll Radiol 2024:S1546-1440(24)00690-2. [PMID: 39134106 DOI: 10.1016/j.jacr.2024.07.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 07/26/2024] [Accepted: 07/26/2024] [Indexed: 11/01/2024]
Abstract
OBJECTIVE Currently, CT pulmonary angiogram (CTPA) for evaluating acute pulmonary embolism (PE) in emergency departments (EDs) is overused and with low yields. The goal of this study is to assess the impact of an evidence-based clinical decision support (CDS) tool, aimed at optimizing appropriate use of CTPA for evaluating PE. METHODS The study was performed at EDs in a large health care system and included nine academic and community hospitals. The primary outcome was the percent difference in utilization (number of CTPAs performed per number of ED visits) and secondary outcome was yield (percentage of CTPAs positive for acute PE), comparing 12 months before (June 1, 2021, to May 31, 2022) versus 12 months after (June 1, 2022, to May 31, 2023) a systemwide implementation of the CDS. Univariate and multivariable analyses using logistic regression were performed to assess factors associated with diagnosis of acute PE. Statistical process control charts were used to assess monthly trends in utilization and yield. RESULTS Among 931,677 visits to EDs, 28,101 CTPAs were performed on 24,675 patients. In all, 14,825 CTPAs were performed among 455,038 visits (3.26%) pre-intervention and 13,276 among 476,639 visits (2.79%) postintervention, a 14.51% relative decrease in CTPA utilization (χ2, P < .001). CTPA yield remained unchanged (1,371 of 14,825 = 9.25% pre- versus 1,184 of 13,276 = 8.92% postintervention; χ2, P = .34). Patients with coronavirus disease of 2019 diagnosis before CTPA had higher probability of acute PE. Statistical process control charts demonstrated seasonal variation in utilization (Friedman test, P = .047). DISCUSSION Implementing a CDS based on validated decision rules was associated with a significant reduction in CTPA utilization. The change was immediate and sustained for 12 months postintervention.
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Affiliation(s)
- Rachel P Rosovsky
- Director, Thrombosis Research, Division of Hematology, Department of Medicine, Massachusetts Hospital, Boston, Massachusetts; Co-Chair, Thrombosis Committee, Massachusetts General Hospital; President, The Pulmonary Embolism Response Team Consortium; Harvard Medical School, Boston, Massachusetts.
| | - Mark Isabelle
- Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Nooshin Abbasi
- Harvard Medical School, Boston, Massachusetts; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Nicole Vetrano
- Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Sanjay Saini
- Harvard Medical School, Boston, Massachusetts; Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Sayon Dutta
- Harvard Medical School, Boston, Massachusetts; Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts; Clinical Informatics, Mass General Brigham Digital, Boston, Massachusetts; Physician Lead for Emergency Medicine and Clinical Decision Support at Partners eCare
| | - David Lucier
- Harvard Medical School, Boston, Massachusetts; Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts; Associate Chief Quality Officer, Mass General Brigham; Vice President of Hospital Quality, Mass General Brigham
| | - Amita Sharma
- Harvard Medical School, Boston, Massachusetts; Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Andetta Hunsaker
- Harvard Medical School, Boston, Massachusetts; Chief, Division of Thoracic Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Stanley Hochberg
- Senior Medical Director in Population Health, Population Health Management, Mass General Brigham, Boston, Massachusetts
| | - Ali S Raja
- Harvard Medical School, Boston, Massachusetts; Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts; Deputy Chair of the Department of Emergency Medicine
| | - Ramin Khorasani
- Harvard Medical School, Boston, Massachusetts; Philip H. Cook Professor of Radiology; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Vice Chair, Radiology Quality and Safety, Mass General Brigham; Vice Chair, Department of Radiology, Brigham and Women's Hospital; Director, Center for Evidence Based Imaging, Brigham and Women's Hospital
| | - Ronilda Lacson
- Harvard Medical School, Boston, Massachusetts; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
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Lee CI, Agusala B, Lee JU, Heilbrun ME, Bledsoe JR, Liao JM. JACR Health Policy Expert Panel: The End of CMS's Appropriate Use Criteria Program. J Am Coll Radiol 2024:S1546-1440(24)00530-1. [PMID: 38908737 DOI: 10.1016/j.jacr.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Accepted: 06/06/2024] [Indexed: 06/24/2024]
Affiliation(s)
- Christoph I Lee
- Department of Radiology, University of Washington, Seattle, Washington; Director of the Northwest Screening and Cancer Outcomes Research Enterprise at the University of Washington and Deputy Editor of JACR.
| | - Bethany Agusala
- Department of Internal Medicine and the Program on General Internal Medicine Research and Educational Scholarship, Division of General Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas; Medical Director of the Solomon General Internal Medicine Clinic at the University of Texas Southwestern Medical Center
| | - Jhee U Lee
- Department of Internal Medicine and the Program on General Internal Medicine Research and Educational Scholarship, Division of General Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas; Medical Director of the Parkland Center for Internal Medicine at Parkland Health, Dallas, Texas
| | - Marta E Heilbrun
- Medical Director of Imaging Services, Quality & Patient Safety, at Intermountain Health, Murray, Utah
| | - Joseph R Bledsoe
- Senior Medical Director, Urgent Care, Emergency Medicine/Trauma/Urgent Care Service Line, Canyon Region, at Intermountain Health, Murray, Utah
| | - Joshua M Liao
- Department of Medicine and the Program on General Internal Medicine Research and Educational Scholarship, Division of General Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, and the Program on Policy Evaluation and Learning, Dallas, Texas; Director of the Program on Policy Evaluation and Learning and Division Chief of General Internal Medicine at UT Southwestern Medical Center
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Toh ZA, Berg B, Han QYC, Hey HWD, Pikkarainen M, Grotle M, He HG. Clinical Decision Support System Used in Spinal Disorders: Scoping Review. J Med Internet Res 2024; 26:e53951. [PMID: 38502157 PMCID: PMC10988379 DOI: 10.2196/53951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 01/29/2024] [Accepted: 02/10/2024] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND Spinal disorders are highly prevalent worldwide with high socioeconomic costs. This cost is associated with the demand for treatment and productivity loss, prompting the exploration of technologies to improve patient outcomes. Clinical decision support systems (CDSSs) are computerized systems that are increasingly used to facilitate safe and efficient health care. Their applications range in depth and can be found across health care specialties. OBJECTIVE This scoping review aims to explore the use of CDSSs in patients with spinal disorders. METHODS We used the Joanna Briggs Institute methodological guidance for this scoping review and reported according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) statement. Databases, including PubMed, Embase, Cochrane, CINAHL, Web of Science, Scopus, ProQuest, and PsycINFO, were searched from inception until October 11, 2022. The included studies examined the use of digitalized CDSSs in patients with spinal disorders. RESULTS A total of 4 major CDSS functions were identified from 31 studies: preventing unnecessary imaging (n=8, 26%), aiding diagnosis (n=6, 19%), aiding prognosis (n=11, 35%), and recommending treatment options (n=6, 20%). Most studies used the knowledge-based system. Logistic regression was the most commonly used method, followed by decision tree algorithms. The use of CDSSs to aid in the management of spinal disorders was generally accepted over the threat to physicians' clinical decision-making autonomy. CONCLUSIONS Although the effectiveness was frequently evaluated by examining the agreement between the decisions made by the CDSSs and the health care providers, comparing the CDSS recommendations with actual clinical outcomes would be preferable. In addition, future studies on CDSS development should focus on system integration, considering end user's needs and preferences, and external validation and impact studies to assess effectiveness and generalizability. TRIAL REGISTRATION OSF Registries osf.io/dyz3f; https://osf.io/dyz3f.
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Affiliation(s)
- Zheng An Toh
- National University Hospital, National University Health System, Singapore, Singapore
| | - Bjørnar Berg
- Centre for Intelligent Musculoskeletal Health, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | | | - Hwee Weng Dennis Hey
- Division of Orthopaedic Surgery, National University Hospital, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Minna Pikkarainen
- Department of Rehabilitation and Health Technology, Oslo Metropolitan University, Oslo, Norway
- Martti Ahtisaari Institute, Oulu Business School, Oulu University, Oulu, Finland
- Department of Product Design, Oslo Metropolitan University, Oslo, Norway
| | - Margreth Grotle
- Centre for Intelligent Musculoskeletal Health, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Hong-Gu He
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Rahimi F, Rabiei R, Seddighi AS, Roshanpoor A, Seddighi A, Moghaddasi H. Features and functions of decision support systems for appropriate diagnostic imaging: a scoping review. Diagnosis (Berl) 2024; 11:4-16. [PMID: 37795534 DOI: 10.1515/dx-2023-0083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 09/10/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND Diagnostic imaging decision support (DI-DS) systems could be effective tools for reducing inappropriate diagnostic imaging examinations. Since effective design and evaluation of these systems requires in-depth understanding of their features and functions, the present study aims to map the existing literature on DI-DS systems to identify features and functions of these systems. METHODS The search was performed using Scopus, Embase, PubMed, Web of Science, and Cochrane Central Registry of Controlled Trials (CENTRAL) and was limited to 2000 to 2021. Analytical studies, descriptive studies, reviews and book chapters that explicitly addressed the functions or features of DI-DS systems were included. RESULTS A total of 6,046 studies were identified. Out of these, 55 studies met the inclusion criteria. From these, 22 functions and 22 features were identified. Some of the identified features were: visibility, content chunking/grouping, deployed as a multidisciplinary program, clinically valid and relevant feedback, embedding current evidence, and targeted recommendations. And, some of the identified functions were: displaying an appropriateness score, recommending alternative or more appropriate imaging examination(s), providing recommendations for next diagnostic steps, and providing safety alerts. CONCLUSIONS The set of features and functions obtained in the present study can provide a basis for developing well-designed DI-DS systems, which could help to improve adherence to diagnostic imaging guidelines, minimize unnecessary costs, and improve the outcome of care through appropriate diagnosis and on-time care delivery.
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Affiliation(s)
- Fatemeh Rahimi
- Department of Health Information Technology and Management, Medical Informatics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Reza Rabiei
- Department of Health Information Technology and Management, Medical Informatics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amir Saied Seddighi
- Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Arash Roshanpoor
- Department of computer, Yadegar-e-Imam Khomeini (RAH), Janat-abad Branch, Islamic Azad University, Tehran, Iran
| | - Afsoun Seddighi
- Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamid Moghaddasi
- Department of Health Information Technology and Management, Health Information Management & Medical Informatics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Darband St., Tehran, Iran
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Furlan L, Di Francesco P, Tobaldini E, Solbiati M, Colombo G, Casazza G, Costantino G, Montano N. The environmental cost of unwarranted variation in the use of magnetic resonance imaging and computed tomography scans. Eur J Intern Med 2023; 111:47-53. [PMID: 36759306 DOI: 10.1016/j.ejim.2023.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 02/09/2023]
Abstract
BACKGROUND Pollution is a major threat to global health, and there is growing interest on strategies to reduce emissions caused by health care systems. Unwarranted clinical variation, i.e. variation in the utilization of health services unexplained by differences in patient illness or preferences, may be an avoidable source of CO2 when related to overuse. Our objective was to evaluate the CO2 emissions attributable to unwarranted variation in the use of MRI and CT scans among countries of the G20-area. METHODS We selected seven countries of the G20-area with available data on the use of CT and MRI scans from the organization for Economic Co-operation and Development repository. Each nation's annual electric energy expenditure per 1000 inhabitants for such exams (T-Enex-1000) was calculated and compared with the median and lowest value. Based on such differences we estimated the national energy and corresponding tons of CO2 that could be potentially avoided each year. RESULTS With available data we found a significant variation in T-Enex-1000 (median value 1782 kWh, range 1200-3079 kWh) and estimated a significant amount of potentially avoidable emissions each year (range 2046-175120 tons of CO2). In practical terms such emissions would need, in the case of Germany, 71900 and 104210 acres of forest to be cleared from the atmosphere, which is 1.2 and 1.7 times the size of the largest German forest (Bavarian National Forest). CONCLUSION Among countries with a similar rate of development, unwarranted clinical variation in the use of MRI and CT scan causes significant emissions of CO2.
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Affiliation(s)
- Ludovico Furlan
- Department of Internal Medicine, General Medicine Unit, Foundation IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Pietro Di Francesco
- Department of Internal Medicine, General Medicine Unit, Foundation IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Eleonora Tobaldini
- Department of Internal Medicine, General Medicine Unit, Foundation IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Monica Solbiati
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy; Department of Anaesthesia and Intensive Care Unit, Emergency Department and Emergency Medicine Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giorgio Colombo
- Department of Anaesthesia and Intensive Care Unit, Emergency Department and Emergency Medicine Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giovanni Casazza
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Giorgio Costantino
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy; Department of Anaesthesia and Intensive Care Unit, Emergency Department and Emergency Medicine Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Nicola Montano
- Department of Internal Medicine, General Medicine Unit, Foundation IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
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Ingvarsson S, Hasson H, von Thiele Schwarz U, Nilsen P, Powell BJ, Lindberg C, Augustsson H. Strategies for de-implementation of low-value care-a scoping review. Implement Sci 2022; 17:73. [PMID: 36303219 PMCID: PMC9615304 DOI: 10.1186/s13012-022-01247-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 10/13/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The use of low-value care (LVC) is a persistent problem that calls for knowledge about strategies for de-implementation. However, studies are dispersed across many clinical fields, and there is no overview of strategies that can be used to support the de-implementation of LVC. The extent to which strategies used for implementation are also used in de-implementing LVC is unknown. The aim of this scoping review is to (1) identify strategies for the de-implementation of LVC described in the scientific literature and (2) compare de-implementation strategies to implementation strategies as specified in the Expert Recommendation for Implementing Change (ERIC) and strategies added by Perry et al. METHOD: A scoping review was conducted according to recommendations outlined by Arksey and O'Malley. Four scientific databases were searched, relevant articles were snowball searched, and the journal Implementation Science was searched manually for peer-reviewed journal articles in English. Articles were included if they were empirical studies of strategies designed to reduce the use of LVC. Two reviewers conducted all abstract and full-text reviews, and conflicting decisions were discussed until consensus was reached. Data were charted using a piloted data-charting form. The strategies were first coded inductively and then mapped onto the ERIC compilation of implementation strategies. RESULTS The scoping review identified a total of 71 unique de-implementation strategies described in the literature. Of these, 62 strategies could be mapped onto ERIC strategies, and four strategies onto one added category. Half (50%) of the 73 ERIC implementation strategies were used for de-implementation purposes. Five identified de-implementation strategies could not be mapped onto any of the existing strategies in ERIC. CONCLUSIONS Similar strategies are used for de-implementation and implementation. However, only a half of the implementation strategies included in the ERIC compilation were represented in the de-implementation studies, which may imply that some strategies are being underused or that they are not applicable for de-implementation purposes. The strategies assess and redesign workflow (a strategy previously suggested to be added to ERIC), accountability tool, and communication tool (unique new strategies for de-implementation) could complement the existing ERIC compilation when used for de-implementation purposes.
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Affiliation(s)
- Sara Ingvarsson
- Procome Research Group, Medical Management Centre, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Karolinska, Sweden
| | - Henna Hasson
- Procome Research Group, Medical Management Centre, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Karolinska, Sweden
- Unit for implementation and evaluation, Center for Epidemiology and Community Medicine (CES), Stockholm Region, Stockholm, Sweden
| | - Ulrica von Thiele Schwarz
- Procome Research Group, Medical Management Centre, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Karolinska, Sweden
- School of Health, Care and Social Welfare, Mälardalen University, Västerås, Sweden
| | - Per Nilsen
- Department of Health, Medicine and Caring Sciences, Division of Public Health, Linköping University, Linköping, Sweden
| | - Byron J. Powell
- Center for Mental Health Services Research, Brown School, Washington University in St. Louis, St. Louis, MO USA
- Center for Dissemination and Implementation, Institute for Public Health, Washington University in St. Louis, St. Louis, MO USA
- Division of Infectious Diseases, John T. Milliken Department of Medicine, School of Medicine, Washington University in St. Louis, St. Louis, MO USA
| | - Clara Lindberg
- Procome Research Group, Medical Management Centre, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Karolinska, Sweden
| | - Hanna Augustsson
- Procome Research Group, Medical Management Centre, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Karolinska, Sweden
- Unit for implementation and evaluation, Center for Epidemiology and Community Medicine (CES), Stockholm Region, Stockholm, Sweden
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Trager RJ, Anderson BR, Casselberry RM, Perez JA, Dusek JA. Guideline-concordant utilization of magnetic resonance imaging in adults receiving chiropractic manipulative therapy vs other care for radicular low back pain: a retrospective cohort study. BMC Musculoskelet Disord 2022; 23:554. [PMID: 35676654 PMCID: PMC9175310 DOI: 10.1186/s12891-022-05462-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 05/19/2022] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Lumbar magnetic resonance imaging (LMRI) is often performed early in the course of care, which can be discordant with guidelines for non-serious low back pain. Our primary hypothesis was that adults receiving chiropractic spinal manipulative therapy (CSMT) for incident radicular low back pain (rLBP) would have reduced odds of early LMRI over 6-weeks' follow-up compared to those receiving other care (a range of medical care, excluding CSMT). As a secondary hypothesis, CSMT recipients were also expected to have reduced odds of LMRI over 6-months' and 1-years' follow-up. METHODS A national 84-million-patient health records database including large academic healthcare organizations (TriNetX) was queried for adults age 20-70 with rLBP newly-diagnosed between January 31, 2012 and January 31, 2022. Receipt or non-receipt of CSMT determined cohort allocation. Patients with prior lumbar imaging and serious pathology within 90 days of diagnosis were excluded. Propensity score matching controlled for variables associated with LMRI utilization (e.g., demographics). Odds ratios (ORs) of LMRI over 6-weeks', 6-months', and 1-years' follow-up after rLBP diagnosis were calculated. RESULTS After matching, there were 12,353 patients per cohort (mean age 50 years, 56% female), with a small but statistically significant reduction in odds of early LMRI in the CSMT compared to other care cohort over 6-weeks' follow-up (9%, 10%, OR [95% CI] 0.88 [0.81-0.96] P = 0.0046). There was a small but statistically significant increase in odds of LMRI among patients in the CSMT relative to the other care cohort over 6-months' (12%, 11%, OR [95% CI] 1.10 [1.02-1.19], P < 0.0174) and 1-years' follow-up (14%, 12%, OR [95% CI] 1.21 [1.13-1.31], P < 0.0001). CONCLUSIONS These results suggest that patients receiving CSMT for newly-diagnosed rLBP are less likely to receive early LMRI than patients receiving other care. However, CSMT recipients have a small increase in odds of LMRI over the long-term. Both cohorts in this study had a relatively low rate of early LMRI, possibly because the data were derived from academic healthcare organizations. The relationship of these findings to other patient care outcomes and cost should be explored in a future randomized controlled trial. REGISTRATION Open Science Framework ( https://osf.io/t9myp ).
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Affiliation(s)
- Robert J Trager
- Connor Whole Health, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.
| | - Brian R Anderson
- Palmer Center for Chiropractic Research, Palmer College of Chiropractic, Davenport, IA, USA
| | - Regina M Casselberry
- Clinical Research Center, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA
| | - Jaime A Perez
- Clinical Research Center, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA
| | - Jeffery A Dusek
- Connor Whole Health, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.,Department of Family Medicine and Community Health, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
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10
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Greenberg JK, Otun A, Ghogawala Z, Yen PY, Molina CA, Limbrick DD, Foraker RE, Kelly MP, Ray WZ. Translating Data Analytics Into Improved Spine Surgery Outcomes: A Roadmap for Biomedical Informatics Research in 2021. Global Spine J 2022; 12:952-963. [PMID: 33973491 PMCID: PMC9344511 DOI: 10.1177/21925682211008424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
STUDY DESIGN Narrative review. OBJECTIVES There is growing interest in the use of biomedical informatics and data analytics tools in spine surgery. Yet despite the rapid growth in research on these topics, few analytic tools have been implemented in routine spine practice. The purpose of this review is to provide a health information technology (HIT) roadmap to help translate data assets and analytics tools into measurable advances in spine surgical care. METHODS We conducted a narrative review of PubMed and Google Scholar to identify publications discussing data assets, analytical approaches, and implementation strategies relevant to spine surgery practice. RESULTS A variety of data assets are available for spine research, ranging from commonly used datasets, such as administrative billing data, to emerging resources, such as mobile health and biobanks. Both regression and machine learning techniques are valuable for analyzing these assets, and researchers should recognize the particular strengths and weaknesses of each approach. Few studies have focused on the implementation of HIT, and a variety of methods exist to help translate analytic tools into clinically useful interventions. Finally, a number of HIT-related challenges must be recognized and addressed, including stakeholder acceptance, regulatory oversight, and ethical considerations. CONCLUSIONS Biomedical informatics has the potential to support the development of new HIT that can improve spine surgery quality and outcomes. By understanding the development life-cycle that includes identifying an appropriate data asset, selecting an analytic approach, and leveraging an effective implementation strategy, spine researchers can translate this potential into measurable advances in patient care.
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Affiliation(s)
- Jacob K. Greenberg
- Department of Neurological Surgery, Washington University School of Medicine,
St. Louis, MO, USA,Jacob K. Greenberg, Department of
Neurosurgery, Washington University School of Medicine, 660S. Euclid Ave., Box
8057, St. Louis, MO 63 110, USA.
| | - Ayodamola Otun
- Department of Neurological Surgery, Washington University School of Medicine,
St. Louis, MO, USA
| | - Zoher Ghogawala
- Department of Neurosurgery, Lahey Hospital and Medical Center, Burlington, MA, USA
| | - Po-Yin Yen
- Institute for Informatics, Washington University School of Medicine,
St. Louis, MO, USA
| | - Camilo A. Molina
- Department of Neurological Surgery, Washington University School of Medicine,
St. Louis, MO, USA
| | - David D. Limbrick
- Department of Neurological Surgery, Washington University School of Medicine,
St. Louis, MO, USA
| | - Randi E Foraker
- Institute for Informatics, Washington University School of Medicine,
St. Louis, MO, USA
| | - Michael P. Kelly
- Department of Orthopaedic Surgery, Washington University School of Medicine,
St. Louis, MO, USA
| | - Wilson Z. Ray
- Department of Neurological Surgery, Washington University School of Medicine,
St. Louis, MO, USA
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11
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Lacson R, Eskian M, Cochon L, Gujrathi I, Licaros A, Zhao A, Vetrano N, Schneider L, Raja A, Khorasani R. Representing narrative evidence as clinical evidence logic statements. JAMIA Open 2022; 5:ooac024. [PMID: 35474718 PMCID: PMC9030217 DOI: 10.1093/jamiaopen/ooac024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 03/05/2022] [Accepted: 03/25/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Objective
Clinical evidence logic statements (CELS) are shareable knowledge artifacts in a semistructured “If-Then” format that can be used for clinical decision support systems. This project aimed to assess factors facilitating CELS representation.
Materials and Methods
We described CELS representation of clinical evidence. We assessed factors that facilitate representation, including authoring instruction, evidence structure, and educational level of CELS authors. Five researchers were tasked with representing CELS from published evidence. Represented CELS were compared with the formal representation. After an authoring instruction intervention, the same researchers were asked to represent the same CELS and accuracy was compared with that preintervention using McNemar’s test. Moreover, CELS representation accuracy was compared between evidence that is structured versus semistructured, and between CELS authored by specialty-trained versus nonspecialty-trained researchers, using χ2 analysis.
Results
261 CELS were represented from 10 different pieces of published evidence by the researchers pre- and postintervention. CELS representation accuracy significantly increased post-intervention, from 20/261 (8%) to 63/261 (24%, P value < .00001). More CELS were assigned for representation with 379 total CELS subsequently included in the analysis (278 structured and 101 semistructured) postintervention. Representing CELS from structured evidence was associated with significantly higher CELS representation accuracy (P = .002), as well as CELS representation by specialty-trained authors (P = .0004).
Discussion
CELS represented from structured evidence had a higher representation accuracy compared with semistructured evidence. Similarly, specialty-trained authors had higher accuracy when representing structured evidence.
Conclusion
Authoring instructions significantly improved CELS representation with a 3-fold increase in accuracy. However, CELS representation remains a challenging task.
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Affiliation(s)
- Ronilda Lacson
- Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Mahsa Eskian
- Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Laila Cochon
- Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Isha Gujrathi
- Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Andro Licaros
- Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Anna Zhao
- Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Nicole Vetrano
- Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Louise Schneider
- Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Ali Raja
- Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ramin Khorasani
- Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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12
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Abstract
OBJECTIVE To examine the effectiveness of implementing interventions to improve guideline-recommended imaging referrals in low back pain. DESIGN Systematic review with meta-analysis. LITERATURE SEARCH We searched MEDLINE, EMBASE, the Cumulative Index to Nursing and Allied Health Literature, Web of Science Core Collection, and the Cochrane Central Register of Controlled Trials from inception to June 14, 2021, as well as Google Scholar and reference lists of relevant systematic reviews published in the last 10 years. We conducted forward and backward citation tracking. STUDY SELECTION CRITERIA Randomized controlled or clinical trials in adults with low back pain to improve imaging referrals. DATA SYNTHESIS Bias was assessed using the Cochrane Risk of Bias 2 tool. Data were synthesized using narrative synthesis and random-effects meta-analysis (Hartung-Knapp-Sidik-Jonkman method). We assessed the certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation approach. RESULTS Of the 2719 identified records, 8 trials were included, with 6 studies eligible for meta-analysis (participants: N = 170 460). All trials incorporated clinician education; 4 included audit and/or feedback components. Comparators were no-intervention control and passive dissemination of guidelines. Five trials were rated as low risk of bias, and 2 trials were rated as having some concerns. There was low-certainty evidence that implementing interventions to improve guideline-recommended imaging referrals had no effect (odds ratio [95% confidence interval]: 0.87 [0.72, 1.05]; I2 = 0%; studies: n = 6). The main finding was robust to sensitivity analyses. CONCLUSION We found low-certainty evidence that interventions to reduce imaging referrals or use in low back pain had no effect. Education interventions are unlikely to be effective. Organizational- and policy-level interventions are more likely to be effective. J Orthop Sports Phys Ther 2022;52(4):175-191. Epub 05 Feb 2022. doi:10.2519/jospt.2022.10731.
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13
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Zare S, Mobarak Z, Meidani Z, Nabovati E, Nazemi Z. Effectiveness of Clinical Decision Support Systems on the Appropriate Use of Imaging for Central Nervous System Injuries: A Systematic Review. Appl Clin Inform 2022; 13:37-52. [PMID: 35021254 PMCID: PMC8754686 DOI: 10.1055/s-0041-1740921] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 11/08/2021] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND One of the best practices for timely and efficient diagnoses of central nervous system (CNS) trauma and complex diseases is imaging. However, rates of imaging for CNS are high and impose a lot of costs to health care facilities in addition to exposing patients with negative impact of ionizing radiation. OBJECTIVES This study aimed to systematically review the effects and features of clinical decision support systems (CDSSs) for the appropriate use of imaging for CNS injuries. METHOD We searched MEDLINE, SCOPUS, Web of Science, and Cochrane without time period restriction. We included experimental and quasiexperimental studies that assessed the effectiveness of CDSSs designed for the appropriate use of imaging for CNS injuries in any clinical setting, including primary, emergency, and specialist care. The outcomes were categorized based on imaging-related, physician-related, and patient-related groups. RESULT A total of 3,223 records were identified through the online literature search. Of the 55 potential papers for the full-text review, 11 eligible studies were included. Reduction of CNS imaging proportion varied from 2.6 to 40% among the included studies. Physician-related outcomes, including guideline adherence, diagnostic yield, and knowledge, were reported in five studies, and all demonstrated positive impact of CDSSs. Four studies had addressed patient-related outcomes, including missed or delayed diagnosis, as well as length of stay. These studies reported a very low rate of missed diagnosis due to the cancellation of computed tomography (CT) examine according to the CDSS recommendations. CONCLUSION This systematic review reports that CDSSs decrease the utilization of CNS CT scan, while increasing physicians' adherence to the rules. However, the possible harm of CDSSs to patients was not well addressed by the included studies and needs additional investigation. The actual effect of CDSSs on appropriate imaging would be realized when the saved cost of examinations is compared with the cost of missed diagnosis.
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Affiliation(s)
- Sahar Zare
- Health Information Management Research Center, Department of Health Information Management and Technology, Kashan University of Medical Sciences, Kashan, Iran
| | - Zohre Mobarak
- Health Information Management Research Center, Department of Health Information Management and Technology, Kashan University of Medical Sciences, Kashan, Iran
| | - Zahra Meidani
- Health Information Management Research Center, Department of Health Information Management and Technology, Kashan University of Medical Sciences, Kashan, Iran
| | - Ehsan Nabovati
- Health Information Management Research Center, Department of Health Information Management and Technology, Kashan University of Medical Sciences, Kashan, Iran
| | - Zahra Nazemi
- Health Information Management Research Center, Department of Health Information Management and Technology, Kashan University of Medical Sciences, Kashan, Iran
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14
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Kjelle E, Andersen ER, Soril LJJ, van Bodegom-Vos L, Hofmann BM. Interventions to reduce low-value imaging - a systematic review of interventions and outcomes. BMC Health Serv Res 2021; 21:983. [PMID: 34537051 PMCID: PMC8449221 DOI: 10.1186/s12913-021-07004-z] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 09/02/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND It is estimated that 20-50% of all radiological examinations are of low value. Many attempts have been made to reduce the use of low-value imaging. However, the comparative effectiveness of interventions to reduce low-value imaging is unclear. Thus, the objective of this systematic review was to provide an overview and evaluate the outcomes of interventions aimed at reducing low-value imaging. METHODS An electronic database search was completed in Medline - Ovid, Embase-Ovid, Scopus, and Cochrane Library for citations between 2010 and 2020. The search was built from medical subject headings for Diagnostic imaging/Radiology, Health service misuse or medical overuse, and Health planning. Keywords were used for the concept of reduction and avoidance. Reference lists of included articles were also hand-searched for relevant citations. Only articles written in English, German, Danish, Norwegian, Dutch, and Swedish were included. The Mixed Methods Appraisal Tool was used to appraise the quality of the included articles. A narrative synthesis of the final included articles was completed. RESULTS The search identified 15,659 records. After abstract and full-text screening, 95 studies of varying quality were included in the final analysis, containing 45 studies found through hand-searching techniques. Both controlled and uncontrolled before-and-after studies, time series, chart reviews, and cohort studies were included. Most interventions were aimed at referring physicians. Clinical practice guidelines (n = 28) and education (n = 28) were most commonly evaluated interventions, either alone or in combination with other components. Multi-component interventions were often more effective than single-component interventions showing a reduction in the use of low-value imaging in 94 and 74% of the studies, respectively. The most addressed types of imaging were musculoskeletal (n = 26), neurological (n = 23) and vascular (n = 16) imaging. Seventy-seven studies reported reduced low-value imaging, while 3 studies reported an increase. CONCLUSIONS Multi-component interventions that include education were often more effective than single-component interventions. The contextual and cultural factors in the health care systems seem to be vital for successful reduction of low-value imaging. Further research should focus on assessing the impact of the context in interventions reducing low-value imaging and how interventions can be adapted to different contexts.
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Affiliation(s)
- Elin Kjelle
- Institute for the Health Sciences at the Norwegian University of Science and Technology (NTNU) at Gjøvik, NTNU Gjøvik, Postbox 191, 2802 Gjøvik, Norway
| | - Eivind Richter Andersen
- Institute for the Health Sciences at the Norwegian University of Science and Technology (NTNU) at Gjøvik, NTNU Gjøvik, Postbox 191, 2802 Gjøvik, Norway
| | - Lesley J. J. Soril
- Department of Community Health Sciences and The Health Technology Assessment Unit, O’Brien Institute for Public Health, University of Calgary, 3280 Hospital Dr NW, Calgary, Alberta T2N 4Z6 Canada
| | - Leti van Bodegom-Vos
- Medical Decision making, Department of Biomedical Data Sciences, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, the Netherlands
| | - Bjørn Morten Hofmann
- Institute for the Health Sciences at the Norwegian University of Science and Technology (NTNU) at Gjøvik, NTNU Gjøvik, Postbox 191, 2802 Gjøvik, Norway
- Centre of Medical Ethics, University of Oslo, Postbox 1130, Blindern, 0318 Oslo, Norway
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15
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Hall A, Richmond H, Pike A, Lawrence R, Etchegary H, Swab M, Thompson JY, Albury C, Hayden J, Patey AM, Matthews J. What behaviour change techniques have been used to improve adherence to evidence-based low back pain imaging? Implement Sci 2021; 16:68. [PMID: 34215284 PMCID: PMC8254222 DOI: 10.1186/s13012-021-01136-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 06/09/2021] [Indexed: 11/20/2022] Open
Abstract
Background Despite international guideline recommendations, low back pain (LBP) imaging rates have been increasing over the last 20 years. Previous systematic reviews report limited effectiveness of implementation interventions aimed at reducing unnecessary LBP imaging. No previous reviews have analysed these implementation interventions to ascertain what behaviour change techniques (BCTs) have been used in this field. Understanding what techniques have been implemented in this field is an essential first step before exploring intervention effectiveness. Methods We searched EMBASE, Ovid (Medline), CINAHL and Cochrane CENTRAL from inception to February 1, 2021, as well as and hand-searched 6 relevant systematic reviews and conducted citation tracking of included studies. Two authors independently screened titles, abstracts, and full texts for eligibility and extracted data on study and intervention characteristics. Study interventions were qualitatively analysed by three coders to identify BCTs, which were mapped to mechanisms of action from the theoretical domains framework (TDF) using the Theory and Techniques Tool. Results We identified 36 eligible studies from 1984 citations in our electronic search and a further 2 studies from hand-searching resulting in 38 studies that targeted physician behaviour to reduce unnecessary LBP imaging. The studies were conducted in 6 countries in primary (n = 31) or emergency care (n = 7) settings. Thirty-four studies were included in our BCT synthesis which found the most frequently used BCTs were ‘4.1 instruction on how to perform the behaviour’ (e.g. Active/passive guideline dissemination and/or educational seminars/workshops), followed by ‘9.1 credible source’, ‘2.2 feedback on behaviour’ (e.g. electronic feedback reports on physicians’ image ordering) and 7.1 prompts and cues (electronic decision support or hard-copy posters/booklets for the office). This review highlighted that the majority of studies used education and/or feedback on behaviour to target the domains of knowledge and in some cases also skills and beliefs about capabilities to bring about a change in LBP imaging behaviour. Additionally, we found there to be a growing use of electronic or hard copy reminders to target the domains of memory and environmental context and resources. Conclusions This is the first study to identify what BCTs have been used to target a reduction in physician image ordering behaviour. The majority of included studies lacked the use of theory to inform their intervention design and failed to target known physician-reported barriers to following LBP imaging guidelines. Protocol Registation PROSPERO CRD42017072518 Supplementary Information The online version contains supplementary material available at 10.1186/s13012-021-01136-w.
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Affiliation(s)
- Amanda Hall
- Primary Healthcare Research Unit, Faculty of Medicine, Memorial University, 300 Prince Phillip Drive, St. John's, Newfoundland, A1B 3V6, Canada.
| | - Helen Richmond
- Primary Healthcare Research Unit, Faculty of Medicine, Memorial University, 300 Prince Phillip Drive, St. John's, Newfoundland, A1B 3V6, Canada
| | - Andrea Pike
- Primary Healthcare Research Unit, Faculty of Medicine, Memorial University, 300 Prince Phillip Drive, St. John's, Newfoundland, A1B 3V6, Canada
| | - Rebecca Lawrence
- Primary Healthcare Research Unit, Faculty of Medicine, Memorial University, 300 Prince Phillip Drive, St. John's, Newfoundland, A1B 3V6, Canada
| | - Holly Etchegary
- Primary Healthcare Research Unit, Faculty of Medicine, Memorial University, 300 Prince Phillip Drive, St. John's, Newfoundland, A1B 3V6, Canada
| | - Michelle Swab
- Primary Healthcare Research Unit, Faculty of Medicine, Memorial University, 300 Prince Phillip Drive, St. John's, Newfoundland, A1B 3V6, Canada
| | - Jacqueline Y Thompson
- Public Health, Institute of Applied Health Research, College of Medicine and Dentistry, University of Birmingham, Birmingham, B15 2TT, UK
| | - Charlotte Albury
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England
| | - Jill Hayden
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Andrea M Patey
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
| | - James Matthews
- School of Public Health, Physiotherapy & Sports Science, University College Dublin, Belfield, Dublin 4, Ireland
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16
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Sajid IM, Parkunan A, Frost K. Unintended consequences: quantifying the benefits, iatrogenic harms and downstream cascade costs of musculoskeletal MRI in UK primary care. BMJ Open Qual 2021; 10:e001287. [PMID: 34215659 PMCID: PMC8256731 DOI: 10.1136/bmjoq-2020-001287] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 06/07/2021] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES The largest proportion of general practitioner (GP) magnetic resonance imaging (MRI) is musculoskeletal (MSK), with consistent annual growth. With limited supporting evidence and potential harms from early imaging overuse, we evaluated practice to improve pathways and patient safety. METHODS Cohort evaluation of routinely collected diagnostic and general practice data across a UK metropolitan primary care population. We reviewed patient characteristics, results and healthcare utilisation. RESULTS Of 306 MSK-MRIs requested by 107 clinicians across 29 practices, only 4.9% (95% CI ±2.4%) appeared clearly indicated and only 16.0% (95% CI ±4.1%) received appropriate prior therapy. 37.0% (95% CI ±5.5%) documented patient imaging request. Most had chronic symptoms and half had psychosocial flags. Mental health was addressed in only 11.8% (95% CI ±6.3%) of chronic sufferers with psychiatric illness, suggesting a solely pathoanatomical approach to MSK care. Only 7.8% (95% CI ±3.0%) of all patients were appropriately managed without additional referral. 1.3% (95% CI ±1.3%) of scans revealed diagnoses leading to change in treatment (therapeutic yield). Most imaged patients received pathoanatomical explanations to their symptoms, often based on expected age or activity-related changes. Only 16.7% (95% CI ±4.2%) of results appeared correctly interpreted by GPs, with spurious overperception of surgical targets in 65.4% (95% CI ±5.3%) who suffered 'low-value' (ineffective, harmful or wasteful) post-MRI referral cascades due to misdiagnosis and overdiagnosis. Typically, 20%-30% of GP specialist referrals convert to a procedure, whereas MRI-triggered referrals showed near-zero conversion rate. Imaged patients experienced considerable delay to appropriate care. Cascade costs exceeded direct-MRI costs and GP-MSK-MRI potentially more than doubles expenditure compared with physiotherapist-led assessment services, for little-to-no added therapeutic yield, unjustifiable by cost-consequence or cost-utility analysis. CONCLUSION Unfettered GP-MSK-MRI use has reached unaccceptable indication creep and disutility. Considerable avoidable harm occurs through ubiquitous misinterpretation and salient low-value referral cascades for two-thirds of imaged patients, for almost no change in treatment. Any marginally earlier procedural intervention for a tiny fraction of patients is eclipsed by negative consequences for the vast majority. Only 1-2 patients need to be scanned for one to suffer mismanagement. Direct-access imaging is neither clinically, nor cost-effective and deimplementation could be considered in this setting. GP-MSK-MRI fuels unnecessary healthcare utilisation, generating nocebic patient beliefs and expectations, whilst appropriate care is delayed and a high burden of psychosocial barriers to recovery appear neglected.
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Affiliation(s)
- Imran Mohammed Sajid
- NHS West London Clinical Commissioning Group, London, UK
- University of Global Health Equity, Kigali, Rwanda
| | - Anand Parkunan
- Healthshare Community NHS Musculoskeletal Services, London, UK
| | - Kathleen Frost
- NHS Central London Clinical Commissioning Group, London, UK
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Enamandram SS, Burk KS, Dang PA, Mar WW, Centerbar C, Boland GW, Khorasani R. Radiology Patient Outcome Measures: Impact of a Departmental Pay-for-Performance Initiative on Key Quality and Safety Measures. J Am Coll Radiol 2021; 18:969-981. [PMID: 33516768 DOI: 10.1016/j.jacr.2020.12.032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 12/14/2020] [Accepted: 12/31/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Assess impact of a multifaceted pay-for-performance (PFP) initiative on radiologists' behavior regarding key quality and safety measures. METHODS This institutional review board-approved prospective study was performed at a large, 12-division urban academic radiology department. Radiology patient outcome measures were implemented October 1, 2017, measuring report signature timeliness, critical results communication, and generation of peer-learning communications between radiologists. Subspecialty division-wide and individual radiologist targets were specified, performance was transparently communicated on an intranet dashboard updated daily, and performance was financially incentivized (5% of salary) quarterly. We compared outcomes 12 months pre- versus 12 months post-PFP implementation. Primary outcome was monthly 90th percentile time from scan completion to final report signature (CtoF). Secondary outcomes were percentage timely closed-loop communication of critical results and number of division-wide peer-learning communications. Statistical process control analysis and parallel coordinates charts were used to assess for temporal trends. RESULTS In all, 144 radiologists generated 1,255,771 reports (613,273 pre-PFP) during the study period. Monthly 90th percentile CtoF exhibited an absolute decrease of 4.4 hours (from 21.1 to 16.7 hours) and a 20.9% relative decrease post-PFP. Statistical process control analysis demonstrated significant decreases in 90th percentile CtoF post-PFP, sustained throughout the study period (P < .003). Between 95% (119 of 125, July 1, 2018, to September 30, 2018) and 98.4% (126 of 128, October 1, 2017, to December 31, 2017) of radiologists achieved >90% timely closure of critical alerts; all divisions exceeded the target of 90 peer-learning communications each quarter (range: 97-472) after January 1, 2018. DISCUSSION Implementation of a multifaceted PFP initiative using well-defined radiology patient outcome measures correlated with measurable improvements in radiologist behavior regarding key quality and safety parameters.
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Affiliation(s)
- Sheila S Enamandram
- Center for Evidence-Based Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kristine S Burk
- Center for Evidence-Based Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Radiology Department Quality and Safety Officer; Director of Quality and Safety for the Abdominal Imaging and Intervention Division, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Pragya A Dang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Wenhong W Mar
- Center for Evidence-Based Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Cynthia Centerbar
- Center for Evidence-Based Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Giles W Boland
- Center for Evidence-Based Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Chair of the Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Ramin Khorasani
- Director of the Center for Evidence Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Vice Chair of Quality and Safety, Department of Radiology Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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18
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Wintermark M, Willis MH, Hom J, Franceschi AM, Fotos JS, Mosher T, Cruciata G, Reuss T, Horton R, Fredericks N, Burleson J, Haines B, Bruno M. Everything Every Radiologist Always Wanted (and Needs) to Know About Clinical Decision Support. J Am Coll Radiol 2020; 17:568-573. [DOI: 10.1016/j.jacr.2020.03.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 12/26/2019] [Accepted: 03/19/2020] [Indexed: 12/18/2022]
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19
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De Roo B, Hoste P, Stichelbaut N, Annemans L, Bacher K, Verstraete K. Belgian multicentre study on lumbar spine imaging: Radiation dose and cost analysis; Evaluation of compliance with recommendations for efficient use of medical imaging. Eur J Radiol 2020; 125:108864. [DOI: 10.1016/j.ejrad.2020.108864] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 01/28/2020] [Accepted: 01/31/2020] [Indexed: 10/25/2022]
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20
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An Imaging Stewardship Initiative to Reduce Low-Value Positron Emission Tomography-Computed Tomography Use in Hospitalized Patients. J Healthc Qual 2020; 42:e83-e91. [DOI: 10.1097/jhq.0000000000000255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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21
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Harrison R, Hinchcliff RA, Manias E, Mears S, Heslop D, Walton V, Kwedza R. Can feedback approaches reduce unwarranted clinical variation? A systematic rapid evidence synthesis. BMC Health Serv Res 2020; 20:40. [PMID: 31948447 PMCID: PMC6966854 DOI: 10.1186/s12913-019-4860-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 12/22/2019] [Indexed: 01/07/2023] Open
Abstract
Background Assessment of clinical variation has attracted increasing interest in health systems internationally due to growing awareness about better value and appropriate health care as a mechanism for enhancing efficient, effective and timely care. Feedback using administrative databases to provide benchmarking data has been utilised in several countries to explore clinical care variation and to enhance guideline adherent care. Whilst methods for detecting variation are well-established, methods for determining variation that is unwarranted and addressing this are strongly debated. This study aimed to synthesize published evidence of the use of feedback approaches to address unwarranted clinical variation (UCV). Methods A rapid review and narrative evidence synthesis was undertaken as a policy-focused review to understand how feedback approaches have been applied to address UCV specifically. Key words, synonyms and subject headings were used to search the major electronic databases Medline and PubMed between 2000 and 2018. Titles and abstracts of publications were screened by two reviewers and independently checked by a third reviewer. Full text articles were screened against the eligibility criteria. Key findings were extracted and integrated in a narrative synthesis. Results Feedback approaches that occurred over a duration of 1 month to 9 years to address clinical variation emerged from 27 publications with quantitative (20), theoretical/conceptual/descriptive work (4) and mixed or multi-method studies (3). Approaches ranged from presenting evidence to individuals, teams and organisations, to providing facilitated tailored feedback supported by a process of ongoing dialogue to enable change. Feedback approaches identified primarily focused on changing clinician decision-making and behaviour. Providing feedback to clinicians was identified, in a range of a settings, as associated with changes in variation such as reducing overuse of tests and treatments, reducing variations in optimal patient clinical outcomes and increasing guideline or protocol adherence. Conclusions The review findings suggest value in the use of feedback approaches to respond to clinical variation and understand when action is warranted. Evaluation of the effectiveness of particular feedback approaches is now required to determine if there is an optimal approach to create change where needed.
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Affiliation(s)
- Reema Harrison
- School of Public Health and Community Medicine, University of New South Wales, Samuels Building (f25), Sydney, NSW, 2052, Australia.
| | - Reece Amr Hinchcliff
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, 4059, Australia
| | - Elizabeth Manias
- Melbourne School of Health Sciences, The University of Melbourne, Melbourne, Australia.,School of Nursing and Midwifery, Deakin University, Geelong, Australia
| | - Steven Mears
- Information Specialist, Hunter New England Medical Library, New Lambton, NSW, 2350, Australia
| | - David Heslop
- School of Public Health and Community Medicine, University of New South Wales, Samuels Building (f25), Sydney, NSW, 2052, Australia
| | - Victoria Walton
- Cancer Institute New South Wales, Level 9, 8 Central Avenue, Australian Technology Park, Eveleigh NSW 2015, PO Box 41, Alexandria, NSW, 1435, Australia
| | - Ru Kwedza
- Cancer Institute New South Wales, Level 9, 8 Central Avenue, Australian Technology Park, Eveleigh NSW 2015, PO Box 41, Alexandria, NSW, 1435, Australia.,Centre for Rural Health-North Coast, School of Rural Health, University of Sydney, Lismore, New South Wales, Australia
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22
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Lacson R, Healey MJ, Cochon LR, Laroya R, Hentel KD, Landman AB, Eappen S, Boland GW, Khorasani R. Unscheduled Radiologic Examination Orders in the Electronic Health Record: A Novel Resource for Targeting Ambulatory Diagnostic Errors in Radiology. J Am Coll Radiol 2020; 17:765-772. [PMID: 31954707 DOI: 10.1016/j.jacr.2019.12.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 12/16/2019] [Accepted: 12/20/2019] [Indexed: 12/20/2022]
Abstract
PURPOSE The aim of this study was to assess the prevalence of unscheduled radiologic examination orders in an electronic health record, and the proportion of unscheduled orders that are clinically necessary, by modality. METHODS This retrospective study was conducted from January to October 2016 at an academic institution. All unscheduled radiologic examination orders were retrieved for seven modalities (CT, MR, ultrasound, obstetric ultrasound, bone densitometry, mammography, and fluoroscopy). After excluding duplicates, 100 randomly selected orders from each modality were assigned to two physician reviewers who classified their clinical necessity, with 10% overlap. Interannotator agreement was assessed using κ statistics, the percentage of clinically necessary unscheduled orders was compared, and χ2 analysis was used to assess differences by modality. RESULTS A total 494,503 radiologic examination orders were placed during the study period. After exclusions, 33,546 unscheduled orders were identified, 7% of all radiologic examination orders. Among 700 reviewed unscheduled orders, agreement was substantial (κ = 0.63). Eighty-seven percent of bone densitometric examinations and sixty-five percent of mammographic studies were considered clinically necessary, primarily for follow-up management. The majority of orders in each modality were clinically necessary, except for CT, obstetric ultrasound, and fluoroscopy (P < .0001). CONCLUSIONS Large numbers of radiologic examination orders remain unscheduled in the electronic health record. A substantial portion are clinically necessary, representing potential delays in executing documented provider care plans. Clinically unnecessary unscheduled orders may inadvertently be scheduled and performed. Identifying and performing clinically necessary unscheduled radiologic examination orders may help reduce diagnostic errors related to diagnosis and treatment delays and enhance patient safety, while eliminating clinically unnecessary unscheduled orders will help avoid unneeded testing.
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Affiliation(s)
- Ronilda Lacson
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
| | - Michael J Healey
- Harvard Medical School, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Laila R Cochon
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Romeo Laroya
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Keith D Hentel
- Department of Radiology, Weill Cornell Medicine, New York, New York
| | - Adam B Landman
- Harvard Medical School, Boston, Massachusetts; Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Sunil Eappen
- Harvard Medical School, Boston, Massachusetts; Department of Anesthesiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Giles W Boland
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Ramin Khorasani
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
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23
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Yates M, Oliveira CB, Galloway JB, Maher CG. Defining and measuring imaging appropriateness in low back pain studies: a scoping review. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2020; 29:519-529. [PMID: 31938944 DOI: 10.1007/s00586-019-06269-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 10/28/2019] [Accepted: 12/24/2019] [Indexed: 01/12/2023]
Abstract
PURPOSE Patients with low back pain (LBP) rarely have serious underlying pathology but frequently undergo inappropriate imaging. A range of guidelines and red flag features are utilised to characterise appropriate imaging. This scoping review explores how LBP imaging appropriateness is determined and calculated in studies of primary care practice. METHODS This scoping review builds upon a previous meta-analysis, incorporating articles identified that were published since 2014, with an updated search to capture articles published since the original search. Electronic databases were searched, and citation lists of included papers were reviewed. Inclusion criteria were studies assessing adult LBP imaging appropriateness in a primary care setting. Twenty-three eligible studies were identified. RESULTS A range of red flag features were utilised to determine imaging appropriateness. Most studies considered appropriateness in a binary manner, by the presence of any red flag feature. Ten guidelines were referenced, with 7/23 (30%) included studies amending or not referencing any guideline. The method for calculating the proportion of inappropriate imaging varied. Ten per cent of the studies used the total number of patients presenting with LBP as the denominator, suggesting most studies overestimated the rate of inappropriate imaging, and did not capture where imaging is not performed for clinically suspicious LBP. CONCLUSION Greater clarity is needed on how we define and measure imaging appropriateness for LBP, which also accounts for the problem of failing to image when indicated. An internationally agreed methodology for imaging appropriateness studies would ultimately lead to an improvement in the care delivered to patients. These slides can be retrieved under Electronic Supplementary Material.
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Affiliation(s)
- Mark Yates
- The Centre for Rheumatic Diseases, Weston Education Centre, King's College London, Room 3.46, Cutcombe Road, SE5 9RJ, London, UK.
| | - Crystian B Oliveira
- Institute for Musculoskeletal Health, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - James B Galloway
- The Centre for Rheumatic Diseases, Weston Education Centre, King's College London, Room 3.46, Cutcombe Road, SE5 9RJ, London, UK
| | - Chris G Maher
- Institute for Musculoskeletal Health, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
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24
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Powers EM, Shiffman RN, Melnick ER, Hickner A, Sharifi M. Efficacy and unintended consequences of hard-stop alerts in electronic health record systems: a systematic review. J Am Med Inform Assoc 2019; 25:1556-1566. [PMID: 30239810 DOI: 10.1093/jamia/ocy112] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 07/26/2018] [Indexed: 11/13/2022] Open
Abstract
Objective Clinical decision support (CDS) hard-stop alerts-those in which the user is either prevented from taking an action altogether or allowed to proceed only with the external override of a third party-are increasingly common but can be problematic. To understand their appropriate application, we asked 3 key questions: (1) To what extent are hard-stop alerts effective in improving patient health and healthcare delivery outcomes? (2) What are the adverse events and unintended consequences of hard-stop alerts? (3) How do hard-stop alerts compare to soft-stop alerts? Methods and Materials Studies evaluating computerized hard-stop alerts in healthcare settings were identified from biomedical and computer science databases, gray literature sites, reference lists, and reviews. Articles were extracted for process outcomes, health outcomes, unintended consequences, user experience, and technical details. Results Of 32 studies, 15 evaluated health outcomes, 16 process outcomes only, 10 user experience, and 4 compared hard and soft stops. Seventy-nine percent showed improvement in health outcomes and 88% in process outcomes. Studies reporting good user experience cited heavy user involvement and iterative design. Eleven studies reported on unintended consequences including avoidance of hard-stopped workflow, increased alert frequency, and delay to care. Hard stops were superior to soft stops in 3 of 4 studies. Conclusions Hard stops can be effective and powerful tools in the CDS armamentarium, but they must be implemented judiciously with continuous user feedback informing rapid, iterative design. Investigators must report on associated health outcomes and unintended consequences when implementing IT solutions to clinical problems.
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Affiliation(s)
- Emily M Powers
- Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut, USA.,Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Richard N Shiffman
- Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut, USA.,Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Edward R Melnick
- Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut, USA.,Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Andrew Hickner
- Cushing/Whitney Medical Library, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Mona Sharifi
- Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut, USA.,Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
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25
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Use of Imaging in the Emergency Department: Do Individual Physicians Contribute to Variation? AJR Am J Roentgenol 2019; 213:637-643. [DOI: 10.2214/ajr.18.21065] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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26
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Abstract
OBJECTIVE. The objective of this article is to discuss clinical decision support (CDS) and the article by Palen and colleagues in this issue of AJR. CONCLUSION. The Palen et al. study provides strong evidence to date that CDS can lead to improvement in imaging appropriateness scores. However, the relevance of appropriateness scores in clinical practice is unknown and CDS is potentially highly disruptive to workflow, and therefore research into its true impact on clinical care is essential.
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27
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Hentel KD, Menard A, Mongan J, Durack JC, Johnson PT, Raja AS, Khorasani R. What Physicians and Health Organizations Should Know About Mandated Imaging Appropriate Use Criteria. Ann Intern Med 2019; 170:880-885. [PMID: 31181572 DOI: 10.7326/m19-0287] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The Appropriate Use Criteria Program, enacted by the Centers for Medicare & Medicaid Services in response to the Protecting Access to Medicare Act of 2014 (PAMA), aims to reduce inappropriate and unnecessary imaging by mandating use of clinical decision support (CDS) by all providers who order advanced imaging examinations (magnetic resonance imaging; computed tomography; and nuclear medicine studies, including positron emission tomography). Beginning 1 January 2020, documentation of an interaction with a certified CDS system using approved appropriate use criteria will be required on all Medicare claims for advanced imaging in all emergency department patients and outpatients as a prerequisite for payment. The Appropriate Use Criteria Program will initially cover 8 priority clinical areas, including several (such as headache and low back pain) commonly encountered by internal medicine providers. All providers and organizations that order and provide advanced imaging must understand program requirements and their options for compliance strategies. Substantial resources and planning will be needed to comply with PAMA regulations and avoid unintended negative consequences on workflow and payments. However, robust evidence supporting the desired outcome of reducing inappropriate use of advanced imaging is lacking.
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Affiliation(s)
| | - Andrew Menard
- Johns Hopkins Medicine, Baltimore, Maryland (A.M., P.T.J.)
| | - John Mongan
- University of California, San Francisco, San Francisco, California (J.M.)
| | - Jeremy C Durack
- Memorial Sloan Kettering Cancer Center, New York, New York (J.C.D.)
| | | | - Ali S Raja
- Massachusetts General Hospital, Boston, Massachusetts (A.S.R.)
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Trends in Hospital Performance on the Medicare National Outpatient Imaging Metrics: A 5-Year Longitudinal Cohort Analysis. J Am Coll Radiol 2019; 16:1604-1611. [PMID: 31125543 DOI: 10.1016/j.jacr.2019.04.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 04/10/2019] [Accepted: 04/18/2019] [Indexed: 11/21/2022]
Abstract
PURPOSE Medicare established its Hospital Outpatient Quality Reporting Program (HOQRP) to promote and incentivize quality care and appropriate utilization in the hospital outpatient setting. The program includes "imaging efficiency" metrics evaluating appropriate utilization of imaging examinations. Our purpose was to evaluate the longitudinal performance of the nation's hospitals on the HOQPR's imaging efficiency metrics. METHODS Data were obtained from CMS Hospital Compare for hospitals participating in the Medicare HOQRP during both initial (January 1, 2011, to December 31, 2011) and follow-up (July 1, 2015, to June 30, 2016) periods. The six reported imaging efficiency metrics were: MRI lumbar spine for low back pain, mammography follow-up rates, abdomen and chest CT double scans (imaging with and without intravenous contrast), cardiac imaging for preoperative risk assessment for low-risk surgery, and simultaneous use of brain and sinus CT. Differences in imaging efficiency metrics were calculated using fixed effects linear regression models. RESULTS Baseline and follow-up data were available for 3,960 hospitals. Median changes were MRI lumbar spine for low back pain: +3.6% (range: -27.9% to +31.4%; P < .001); mammography follow-up: -0.3% (range: -69.5% to +62.6%; P = .03); double scan abdomen CT: -1.9% (range: -73.5% to +32.3%; P < .001); double scan chest CT: -0.4% (range: -73.2% to +28.0%; P < .001); preoperative cardiac imaging: -0.7% (range: -10.0% to +9.9%; P < .001); simultaneous brain and sinus CT: -0.9% (range: -11.8% to +7.8%; P < .001). CONCLUSION Medicare's nationwide hospital outpatient imaging efficiency reporting initiative was associating with worse performance in lumbar spine MRI utilization and small improvements in double CT scans. Because quality metrics are increasingly imposed on health care providers, health service researchers will need to rigorously evaluate their effectiveness before and during early implementation.
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29
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Hall AM, Scurrey SR, Pike AE, Albury C, Richmond HL, Matthews J, Toomey E, Hayden JA, Etchegary H. Physician-reported barriers to using evidence-based recommendations for low back pain in clinical practice: a systematic review and synthesis of qualitative studies using the Theoretical Domains Framework. Implement Sci 2019; 14:49. [PMID: 31064375 PMCID: PMC6505266 DOI: 10.1186/s13012-019-0884-4] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 03/27/2019] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Adoption of low back pain guidelines is a well-documented problem. Information to guide the development of behaviour change interventions is needed. The review is the first to synthesise the evidence regarding physicians' barriers to providing evidence-based care for LBP using the Theoretical Domains Framework (TDF). Using the TDF allowed us to map specific physician-reported barriers to individual guideline recommendations. Therefore, the results can provide direction to future interventions to increase physician compliance with evidence-based care for LBP. METHODS We searched the literature for qualitative studies from inception to July 2018. Two authors independently screened titles, abstracts, and full texts for eligibility and extracted data on study characteristics, reporting quality, and methodological rigour. Guided by a TDF coding manual, two reviewers independently coded the individual study themes using NVivo. After coding, we assessed confidence in the findings using the GRADE-CERQual approach. RESULTS Fourteen studies (n = 318 physicians) from 9 countries reported barriers to adopting one of the 5 guideline-recommended behaviours regarding in-clinic diagnostic assessments (9 studies, n = 198), advice on activity (7 studies, n = 194), medication prescription (2 studies, n = 39), imaging referrals (11 studies, n = 270), and treatment/specialist referrals (8 studies, n = 193). Imaging behaviour is influenced by (1) social influence-from patients requesting an image or wanting a diagnosis (n = 252, 9 studies), (2) beliefs about consequence-physicians believe that providing a scan will reassure patients (n = 175, 6 studies), and (3) environmental context and resources-physicians report a lack of time to have a conversation with patients about diagnosis and why a scan is not needed (n = 179, 6 studies). Referrals to conservative care is influenced by environmental context and resources-long wait-times or a complete lack of access to adjunct services prevented physicians from referring to these services (n = 82, 5 studies). CONCLUSIONS Physicians face numerous barriers to providing evidence-based LBP care which we have mapped onto 7 TDF domains. Two to five TDF domains are involved in determining physician behaviour, confirming the complexity of this problem. This is important as interventions often target a single domain where multiple domains are involved. Interventions designed to address all the domains involved while considering context-specific factors may prove most successful in increasing guideline adoption. REGISTRATION PROSPERO 2017, CRD42017070703.
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Affiliation(s)
- Amanda M Hall
- Primary Healthcare Research Unit (PHRU), Faculty of Medicine, Memorial University, Room 417
- Janeway Hostel, Health Sciences Centre, 300 Prince Philip Parkway, St. John's, NL, A1B 3V6, Canada.
| | - Samantha R Scurrey
- Primary Healthcare Research Unit (PHRU), Faculty of Medicine, Memorial University, Room 417
- Janeway Hostel, Health Sciences Centre, 300 Prince Philip Parkway, St. John's, NL, A1B 3V6, Canada
| | - Andrea E Pike
- Primary Healthcare Research Unit (PHRU), Faculty of Medicine, Memorial University, Room 417
- Janeway Hostel, Health Sciences Centre, 300 Prince Philip Parkway, St. John's, NL, A1B 3V6, Canada
| | - Charlotte Albury
- Nuffield Department of Primary Care Health Sciences, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Helen L Richmond
- Centre for Rehabilitation Research in Oxford, University of Oxford, Oxford, UK
| | - James Matthews
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Elaine Toomey
- School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - Jill A Hayden
- Department of Community Health & Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Holly Etchegary
- Clinical Epidemiology, Faculty of Medicine, Memorial University, St. John's, Newfoundland and Labrador, Canada
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Wood A, Matula SR, Huan L, Linos E, Platchek T, Milstein A. Improving the Value of Medical Care for Patients with Back Pain. PAIN MEDICINE 2019; 20:664-667. [PMID: 28419359 DOI: 10.1093/pm/pnx049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Arthur Wood
- Clinical Excellence Research Center, Stanford University, Stanford, California.,Department of Anesthesia, University of California, San Francisco, California, USA
| | - Sierra R Matula
- Clinical Excellence Research Center, Stanford University, Stanford, California
| | - Lawrence Huan
- Clinical Excellence Research Center, Stanford University, Stanford, California
| | - Eleni Linos
- Clinical Excellence Research Center, Stanford University, Stanford, California.,Department of Dermatology, University of California, San Francisco, California, USA
| | - Terry Platchek
- Clinical Excellence Research Center, Stanford University, Stanford, California
| | - Arnold Milstein
- Clinical Excellence Research Center, Stanford University, Stanford, California
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31
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Raja AS, Ip IK, Cochon L, Pourjabbar S, Yun BJ, Schuur JD, Khorasani R. Will publishing evidence-based guidelines for low back pain imaging decrease imaging use? Am J Emerg Med 2019; 37:545-546. [DOI: 10.1016/j.ajem.2018.07.039] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Accepted: 07/18/2018] [Indexed: 11/17/2022] Open
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Impact of a Multifaceted Information Technology-Enabled Intervention on the Adoption of ACR White Paper Follow-Up Recommendations for Incidental Adnexal Lesions Detected on CT. AJR Am J Roentgenol 2019; 213:127-133. [PMID: 30807226 DOI: 10.2214/ajr.18.20468] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE. The objective of our study was to improve adherence to American College of Radiology (ACR) white paper follow-up imaging recommendations for incidental adnexal lesions seen on pelvic CT (herein referred to as "adherence rate to recommendations"). MATERIALS AND METHODS. This quality improvement project was conducted at a large academic teaching hospital. The baseline adherence rate to recommendations was assessed by screening all pelvic CT reports for the period from October 22, 2016, through December 22, 2016, for incidental adnexal findings, followed by manual review. Forty abdominal and cancer imaging radiologists were surveyed to understand the barriers to adoption of the recommendations. Interventions to address the most common identified barriers were implemented on December 23, 2016. The postintervention adherence rate was assessed from December 23, 2016, through February 15, 2017, by again screening CT pelvis reports for incidental adnexal lesions followed by manual review. The change in pre- and postintervention adherence rates was assessed using the Fisher exact test and statistical process control (SPC) p-chart with 3-sigma control limits. RESULTS. The adherence rate to recommendations at baseline was 67% (121/181). Of the 28 of 40 (70%) radiologists who completed the survey, only 29% (8/28) often or consistently used the recommendations. Not remembering the details of the recommendations or not having time to look them up accounted for 83.3% of the barriers cited by radiologists. Interventions consisted of radiologist education and creation of an easily accessible clinical decision support tool incorporated into radiology reporting workflow. The adherence rate to recommendations after the intervention increased to 87% (129/148; p < 0.0001), as also shown by the SPC chart. CONCLUSION. The rate of adherence to follow-up imaging recommendations significantly increased after radiologist education and incorporation of recommendations into the radiologist workflow.
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Effect of Clinical Decision Support–Generated Report Cards Versus Real-Time Alerts on Primary Care Provider Guideline Adherence for Low Back Pain Outpatient Lumbar Spine MRI Orders. AJR Am J Roentgenol 2019; 212:386-394. [DOI: 10.2214/ajr.18.19780] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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34
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Raja AS, Pourjabbar S, Ip IK, Baugh CW, Sodickson AD, O'Leary M, Khorasani R. Impact of a Health Information Technology–Enabled Appropriate Use Criterion on Utilization of Emergency Department CT for Renal Colic. AJR Am J Roentgenol 2019; 212:142-145. [DOI: 10.2214/ajr.18.19966] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Affiliation(s)
- Ali S. Raja
- Center for Evidence-Based Imaging, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Sarvenaz Pourjabbar
- Center for Evidence-Based Imaging, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115
| | - Ivan K. Ip
- Center for Evidence-Based Imaging, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Christopher W. Baugh
- Harvard Medical School, Boston, MA
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA
| | - Aaron D. Sodickson
- Center for Evidence-Based Imaging, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Michael O'Leary
- Harvard Medical School, Boston, MA
- Department of Urology, Brigham and Women's Hospital, Boston, MA
| | - Ramin Khorasani
- Center for Evidence-Based Imaging, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
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Jenkins HJ, Downie AS, Maher CG, Moloney NA, Magnussen JS, Hancock MJ. Imaging for low back pain: is clinical use consistent with guidelines? A systematic review and meta-analysis. Spine J 2018; 18:2266-2277. [PMID: 29730460 DOI: 10.1016/j.spinee.2018.05.004] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 04/13/2018] [Accepted: 05/01/2018] [Indexed: 02/03/2023]
Abstract
BACKGROUND CONTEXT The problem of imaging patients with low back pain (LBP) when it is not indicated is well recognized. The converse is also possible, although rarely considered. The extent of these two problems is presently unclear. PURPOSE This study aimed to estimate how commonly overuse, and also underuse, of imaging occurs in the management of LBP, and how appropriate use of imaging is assessed. DESIGN This is a systematic review and meta-analysis. PATIENT SAMPLE The sample comprised patients with LBP presenting to primary care. OUTCOME MEASURES Proportions of inappropriate referral, and inappropriate non-referral, for diagnostic imaging for LBP were the outcome measures. METHODS MEDLINE, EMBASE, and CINAHL were searched from January 1, 1995 to December 17, 2017. Two authors independently assessed study quality and extracted data. Meta-analyses were performed where appropriate, and strength of evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluation system. RESULTS Thirty-three studies were included. In patients referred for lumbar imaging, 34.8% (95% confidence interval [CI]: 27.1, 43.3) were judged inappropriate by the absence of red flags for serious pathology and 31.6% (95% CI: 28.3, 35.1) were judged inappropriate by the criteria of no clinical suspicion of pathology. In patients presenting for care, imaging was inappropriately performed in 27.7% of cases (95% CI: 21.3, 35.1) when judged by duration of episode, 9.0% of cases (95% CI: 7.4, 11.0) when judged by absence of red flags, and 7.0% (95% CI: 1.8, 23.3) when judged by no clinical suspicion of pathology. In patients presenting for care, imaging was not performed where appropriately indicated in 65.6% (95% CI: 51.8, 77.2) of patients who presented with red flags, and 60.8% (95% CI: 42.0, 76.8) with clinical suspicion of serious pathology. CONCLUSIONS Inappropriate imaging is common in LBP management, including both overuse in those where imaging is not indicated and underuse of imaging when it is indicated. Appreciating that both underuse and overuse can occur is fundamental to efforts to improve imaging practice to align with current guidelines and best evidence.
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Affiliation(s)
- Hazel J Jenkins
- Department of Health Professions, Faculty of Medicine and Health Sciences, Macquarie University, NSW, 2109, Australia; Department of Chiropractic, Faculty of Science and Engineering, Macquarie University, NSW, 2109, Australia.
| | - Aron S Downie
- Department of Chiropractic, Faculty of Science and Engineering, Macquarie University, NSW, 2109, Australia; The University of Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, 2006, Australia
| | - Chris G Maher
- The University of Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, 2006, Australia
| | - Niamh A Moloney
- Department of Health Professions, Faculty of Medicine and Health Sciences, Macquarie University, NSW, 2109, Australia
| | - John S Magnussen
- Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, NSW, 2109, Australia
| | - Mark J Hancock
- Department of Health Professions, Faculty of Medicine and Health Sciences, Macquarie University, NSW, 2109, Australia
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Ogink PT, Teunis T, van Wulfften Palthe O, Sepucha K, Bono CM, Schwab JH, Cha TD. Variation in costs among surgeons for lumbar spinal stenosis. Spine J 2018; 18:1584-1591. [PMID: 29496622 DOI: 10.1016/j.spinee.2018.02.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 01/22/2018] [Accepted: 02/13/2018] [Indexed: 02/03/2023]
Abstract
BACKGROUND CONTEXT Lumbar spinal stenosis is a common condition in the elderly for which costs vary substantially by region. Comparing differences between surgeons from a single institution, thereby omitting regional variation, could aid in identifying factors associated with higher costs and individual drivers of costs. The use of decision aids (DAs) has been suggested as one of the possible tools for diminishing costs and cost variation. PURPOSE (1) To determine factors associated with higher costs for treatment of spinal stenosis in the first year after diagnosis in a single institution; (2) to find individual drivers of costs for providers with higher costs; and (3) to determine if the use of DAs can decrease costs and cost variability. STUDY DESIGN Retrospective cohort study. PATIENT SAMPLE A total of 10,858 patients in 18 different practices diagnosed with lumbar spinal stenosis between January 2003 and July 2015 in three associated hospitals of a single institution. OUTCOME MEASURES Mean cost for a patient per provider in US dollars within 1 year after diagnosis of lumbar spinal stenosis. METHODS We collected all diagnostic testing, office visits, injections, surgery, and occupational or physical therapy related to lumbar spinal stenosis within 1 year after initial diagnosis. We used multivariable linear regression to determine independent predictors for costs. Providers were grouped in tiers based on mean total costs per patient to find drivers of costs. To assess the DAs effect on costs and cost variability, we matched DA patients one-to-one with non-DA patients. RESULTS Male gender (β 0.10, 95% confidence interval [CI] 0.05-0.15, p<.001), seeing an additional provider (β 0.77, 95% CI 0.69-0.86, p<.001), and having an additional spine diagnosis (β 0.79, 95% CI 0.74-0.84, p<.001) were associated with higher costs. Providers in the high cost tier had more office visits (p<.001), more imaging procedures (p<.001), less occupational or physical therapy (p=.002), and less surgery (p=.001) compared with the middle tier. Eighty-two patients (0.76%) received a DA as part of their care; there was no statistically significant difference between the DA group and the matched group in costs (p=.975). CONCLUSIONS Male gender, seeing an additional provider, and having an additional spine diagnosis were independently associated with higher costs. The main targets for cost reduction we found are imaging procedures and number of office visits. Decision aids were not found to affect cost.
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Affiliation(s)
- Paul T Ogink
- Department of Orthopaedic Surgery, Orthopaedic Spine Center, Massachusetts General Hospital-Harvard Medical School, 55 Fruit St, Boston, MA 02114, USA.
| | - Teun Teunis
- Department of Plastic Surgery, UMC Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Olivier van Wulfften Palthe
- Department of Orthopaedic Surgery, Orthopaedic Spine Center, Massachusetts General Hospital-Harvard Medical School, 55 Fruit St, Boston, MA 02114, USA
| | - Karen Sepucha
- Division of General Internal Medicine, Health Decision Sciences Center, Massachusetts General Hospital-Harvard Medical School, 50 Staniford St, Boston, MA 02114, USA
| | - Christopher M Bono
- Department of Orthopaedic Surgery, Orthopaedic Spine Center, Brigham and Women's Hospital-Harvard Medical School, 75 Francis St, Boston, MA 02115, USA
| | - Joseph H Schwab
- Department of Orthopaedic Surgery, Orthopaedic Spine Center, Massachusetts General Hospital-Harvard Medical School, 55 Fruit St, Boston, MA 02114, USA
| | - Thomas D Cha
- Department of Orthopaedic Surgery, Orthopaedic Spine Center, Massachusetts General Hospital-Harvard Medical School, 55 Fruit St, Boston, MA 02114, USA
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Hentel K, Menard A, Khorasani R. New CMS Clinical Decision Support Regulations: A Potential Opportunity with Major Challenges. Radiology 2018; 283:10-13. [PMID: 28318445 DOI: 10.1148/radiol.2017161560] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Keith Hentel
- From the Department of Radiology, Weill Cornell Medical College/New York Presbyterian Hospital, 525 E 68th St, Box 141, New York, NY 10065 (K.H.); and Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.M., R.K.)
| | - Andrew Menard
- From the Department of Radiology, Weill Cornell Medical College/New York Presbyterian Hospital, 525 E 68th St, Box 141, New York, NY 10065 (K.H.); and Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.M., R.K.)
| | - Ramin Khorasani
- From the Department of Radiology, Weill Cornell Medical College/New York Presbyterian Hospital, 525 E 68th St, Box 141, New York, NY 10065 (K.H.); and Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.M., R.K.)
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Value-Based Care and Musculoskeletal Rehabilitation. CURRENT PHYSICAL MEDICINE AND REHABILITATION REPORTS 2018. [DOI: 10.1007/s40141-018-0176-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Kumamaru KK, Sano Y, Kumamaru H, Hori M, Takamura T, Irie R, Suzuki M, Hagiwara A, Kamagata K, Nakanishi A, Aoki S. Radiologist involvement is associated with reduced use of MRI in the acute period of low back pain in a non-elderly population. Eur Radiol 2017; 28:1600-1608. [PMID: 29063252 DOI: 10.1007/s00330-017-5086-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 08/22/2017] [Accepted: 09/22/2017] [Indexed: 12/16/2022]
Abstract
PURPOSE To test the hypothesis that "acute-period" lumbar MRI in non-elderly patients with low back pain is less frequently performed at clinics/hospitals with greater involvement of full-time radiologists in the imaging workflow. METHODS In a national-level claims database, we identified 14,819 non-elderly patients (mean age: 38.7±8.0 years) who visited clinics/hospitals for low back pain in 2013-2015. We classified the clinics/hospitals into four groups based on the level of full-time radiologist involvement and MRI ownership, and compared the frequency of acute-period lumbar MRI using hierarchical logistic regression analysis. RESULTS Patients visiting facilities without a full-time radiologist (n=2105) were significantly (p<0.001) more likely to undergo acute-period MRI than those visiting facilities with ≥1 radiologist partially managing imaging workflow (level-1, n=491) or ≥1 radiologist intensively involved in imaging workflow (level-2, n=1190) (15.7% vs. 6.9% and 7.3%; adjusted odds ratio of no-radiologist versus level-2: 2.93, p=0.018). No difference was observed between level-1 and level-2 involvement. CONCLUSIONS Facilities with no full-time radiologist were more likely to perform acute-period MRI to assess for low back pain, while no difference was seen between facilities with varying levels of radiologist involvement in the imaging workflow. Radiologist involvement may contribute to optimal utilisation of medical imaging. KEY POINTS • Lumbar MRI was more frequently performed at facilities without full-time radiologists. • Full-time radiologists may play an important role in appropriate utilisation of imaging. • Frequency of MRI was similar between moderate and intensive radiologist involvement.
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Affiliation(s)
- Kanako K Kumamaru
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
| | - Yukiko Sano
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Hiraku Kumamaru
- Department of Healthcare Quality Assessment, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masaaki Hori
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Tomohiro Takamura
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Ryusuke Irie
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Michimasa Suzuki
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Akifumi Hagiwara
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Koji Kamagata
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Atsushi Nakanishi
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Shigeki Aoki
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
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Jin DX, McNabb-Baltar JY, Suleiman SL, Wu BU, Khorasani R, Bollen TL, Banks PA, Singh VK. Early Abdominal Imaging Remains Over-Utilized in Acute Pancreatitis. Dig Dis Sci 2017; 62:2894-2899. [PMID: 28840381 DOI: 10.1007/s10620-017-4720-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 08/10/2017] [Indexed: 12/17/2022]
Abstract
BACKGROUND Early abdominal computed tomography (CT) or magnetic resonance (MR) imaging is common in acute pancreatitis (AP). Guidelines (2007-2013) indicate routine use is unwarranted. AIMS To compare the frequency and evaluate the predictors of early CT/MR utilization for AP between September 2006-2007 (period A) and September 2014-2015 (period B). METHODS AP patients presenting directly to a large academic emergency department were prospectively enrolled during each period. Cases requiring imaging to fulfill diagnostic criteria were excluded. Early CT/MR (within 24 h of presentation) utilization rates were compared using Fisher's exact test. Predictors of early imaging usage were assessed with multivariate logistic regression. RESULTS The cohort included 96 AP cases in period A and 97 in period B. There were no significant differences in patient demographics, comorbidity scores, or AP severity. Period B cases manifested decreased rates of the systemic inflammatory response syndrome (SIRS) during the first 24 h of hospitalization (67% period A vs. 43% period B, p = 0.001). Independent predictors of early imaging included age >60 and SIRS or organ failure on day 1. No significant decrease in early CT/MR usage was observed from period A to B on both univariate (49% period A vs. 40% period B, p = 0.25) and multivariate (OR 1.0 for period B vs. A, 95% CI 0.5-1.9) analysis. CONCLUSIONS In a comparison of imaging practices for AP, there was no significant decrease in early abdominal CT/MR utilization from 2007 to 2015. Quality improvement initiatives specifically targeting early imaging overuse are needed.
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Affiliation(s)
- David X Jin
- Division of Gastroenterology, Hepatology and Endoscopy, Center for Pancreatic Disease, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
| | - Julia Y McNabb-Baltar
- Division of Gastroenterology, Hepatology and Endoscopy, Center for Pancreatic Disease, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Shadeah L Suleiman
- Division of Gastroenterology, Hepatology and Endoscopy, Center for Pancreatic Disease, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Bechien U Wu
- Division of Gastroenterology, Pancreatic Disease Center, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA, USA
| | - Ramin Khorasani
- Department of Radiology, Center for Evidence Based Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Thomas L Bollen
- Department of Radiology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Peter A Banks
- Division of Gastroenterology, Hepatology and Endoscopy, Center for Pancreatic Disease, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Vikesh K Singh
- Division of Gastroenterology, Pancreatitis Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Medicare Imaging Demonstration: Assessing Attributes of Appropriate Use Criteria and Their Influence on Ordering Behavior. AJR Am J Roentgenol 2017; 208:1051-1057. [PMID: 28267371 DOI: 10.2214/ajr.16.17169] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Persistent concern exists about the variable and possibly inappropriate utilization of high-cost imaging tests. The purpose of this study is to assess the influence of appropriate use criteria attributes on altering ambulatory imaging orders deemed inappropriate. MATERIALS AND METHODS This secondary analysis included Medicare Imaging Demonstration data collected from three health care systems in 2011-2013 via the use of clinical decision support (CDS) during ambulatory imaging order entry. The CDS system captured whether orders were inappropriate per the appropriate use criteria of professional societies and provided advice during the intervention period. For orders deemed inappropriate, we assessed the impact of the availability of alternative test recommendations, conflicts with local best practices, and the strength of evidence for appropriate use criteria on the primary outcome of cancellation or modification of inappropriate orders. Expert review determined conflicts with local best practices for 250 recommendations for abdominal and thoracic CT orders. Strength of evidence was assessed for the 15 most commonly triggered recommendations that were deemed inappropriate. A chi-square test was used for univariate analysis. RESULTS A total of 1691 of 63,222 imaging test orders (2.7%) were deemed inappropriate during the intervention period; this amount decreased from 364 of 11,675 test orders (3.1%) in the baseline period (p < 0.00001). Of 270 inappropriate recommendations with alternative test recommendations, 28 (10.4%) were modified, compared with four of 1024 inappropriate recommendations without alternatives (0.4%) (p < 0.0001). Seventy-eight of 250 recommendations (31%) conflicted with local best practices, but only six of 69 inappropriate recommendations (9%) conflicted (p < 0.001). No inappropriate recommendations that conflicted with local best practices were modified. All 15 commonly triggered recommendations had an Oxford Centre for Evidence-Based Medicine level of evidence of 5 (i.e., expert opinion). CONCLUSION Orders for imaging tests that were deemed inappropriate were modified infrequently, more often with alternative recommendations present and only for appropriate use criteria consistent with local best practices.
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Tajmir S, Raja AS, Ip IK, Andruchow J, Silveira P, Smith S, Khorasani R. Impact of Clinical Decision Support on Radiography for Acute Ankle Injuries: A Randomized Trial. West J Emerg Med 2017; 18:487-495. [PMID: 28435501 PMCID: PMC5391900 DOI: 10.5811/westjem.2017.1.33053] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 12/31/2016] [Accepted: 01/16/2017] [Indexed: 12/26/2022] Open
Abstract
Introduction While only 15–20% of patients with foot and ankle injuries presenting to urgent care centers have clinically significant fractures, most undergo radiography. We examined the impact of electronic point-of-care clinical decision support (CDS) on adherence to the Ottawa Ankle Rules (OAR), as well as use and yield of foot and ankle radiographs in patients with acute ankle injury. Methods We obtained institutional review board approval for this randomized controlled study performed April 18, 2012—December 15, 2013. All ordering providers credentialed at an urgent care affiliated with a quaternary care academic hospital were randomized to either receive or not receive CDS, based on the OAR and integrated into the physician order-entry system, with feedback at the time of imaging order. If the patient met OAR low-risk criteria, providers were advised against imaging and could either cancel the order or ignore the alert. We identified patients with foot and ankle complaints via ICD-9 billing codes and electronic health records and radiology reports reviewed for those who were eligible. Chi-square was used to compare adherence to the OAR (primary outcome), radiography utilization rate and radiography yield of foot and ankle imaging (secondary outcomes) between the intervention and control groups. Results Of 14,642 patients seen at urgent care during the study period, 613 (4.2%, representing 632 visits) presented with acute ankle injury and were eligible for application of the OAR; 374 (59.2%) of these were seen by control-group providers. In the intervention group, CDS adherence was higher for both ankle (239/258=92.6% vs. 231/374=61.8%, p=0.02) and foot radiography (209/258=81.0% vs. 238/374=63.6%; p<0.01). However, ankle radiography use was higher in the intervention group (166/258=64.3% vs. 183/374=48.9%; p<0.01), while foot radiography use (141/258=54.6% vs. 202/374=54.0%; p=0.95) was not. Radiography yield was also higher in the intervention group (26/307=8.5% vs. 18/385=4.7%; p=0.04). Conclusion Clinical decision support, previously demonstrated to improve guideline adherence for high-cost imaging, can also improve guideline adherence for radiography – as demonstrated by increased OAR adherence and increased imaging yield.
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Affiliation(s)
- Shahein Tajmir
- Harvard Medical School, Boston, Massachusetts.,Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, Massachusetts.,Brigham and Women's Hospital, Department of Radiology, Boston, Massachusetts.,Massachusetts General Hospital, Department of Radiology, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Ali S Raja
- Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, Massachusetts.,Brigham and Women's Hospital, Department of Radiology, Boston, Massachusetts.,Massachusetts General Hospital, Department of Emergency Medicine, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Ivan K Ip
- Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, Massachusetts.,Brigham and Women's Hospital, Department of Radiology, Boston, Massachusetts.,Brigham and Women's Hospital, Department of Medicine, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - James Andruchow
- Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, Massachusetts.,Brigham and Women's Hospital, Department of Radiology, Boston, Massachusetts.,Brigham and Women's Hospital, Department of Emergency Medicine, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Patricia Silveira
- Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, Massachusetts.,Brigham and Women's Hospital, Department of Radiology, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Stacy Smith
- Brigham and Women's Hospital, Department of Radiology, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Ramin Khorasani
- Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, Massachusetts.,Brigham and Women's Hospital, Department of Radiology, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
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JOURNAL CLUB: Predictors of Provider Response to Clinical Decision Support: Lessons Learned From the Medicare Imaging Demonstration. AJR Am J Roentgenol 2016; 208:351-357. [PMID: 27897445 DOI: 10.2214/ajr.16.16373] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
OBJECTIVE The efficacy of imaging clinical decision support (CDS) varies. Our objective was to identify CDS factors contributing to imaging order cancellation or modification. SUBJECTS AND METHODS This pre-post study was performed across four institutions participating in the Medicare Imaging Demonstration. The intervention was CDS at order entry for selected outpatient imaging procedures. On the basis of the information entered, computerized alerts indicated to providers whether orders were not covered by guidelines, appropriate, of uncertain appropriateness, or inappropriate according to professional society guidelines. Ordering providers could override or accept CDS. We considered actionable alerts to be those that could generate an immediate order behavior change in the ordering physician (i.e., cancellation of inappropriate orders or modification of orders of uncertain appropriateness that had a recommended alternative). Chi-square and logistic regression identified predictors of order cancellation or modification after an alert. RESULTS A total of 98,894 radiology orders were entered (83,114 after the intervention). Providers ignored 98.9%, modified 1.1%, and cancelled 0.03% of orders in response to alerts. Actionable alerts had a 10 fold higher rate of modification (8.1% vs 0.7%; p < 0.0001) or cancellation (0.2% vs 0.02%; p < 0.0001) orders compared with nonactionable alerts. Orders from institutions with preexisting imaging CDS had a sevenfold lower rate of cancellation or modification than was seen at sites with newly implemented CDS (1.4% vs 0.2%; p < 0.0001). In multivariate analysis, actionable alerts were 12 times more likely to result in order cancellation or modification. Orders at sites with preexisting CDS were 7.7 times less likely to be cancelled or modified (p < 0.0001). CONCLUSION Using results from the Medicare Imaging Demonstration project, we identified potential factors that were associated with CDS effect on provider imaging ordering; these findings may have implications for future design of such computerized systems.
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Riis A, Jensen CE, Bro F, Maindal HT, Petersen KD, Bendtsen MD, Jensen MB. A multifaceted implementation strategy versus passive implementation of low back pain guidelines in general practice: a cluster randomised controlled trial. Implement Sci 2016; 11:143. [PMID: 27769263 PMCID: PMC5073468 DOI: 10.1186/s13012-016-0509-0] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2016] [Accepted: 10/10/2016] [Indexed: 11/24/2022] Open
Abstract
Background Guidelines are often slowly adapted into clinical practice. However, actively supporting healthcare professionals in evidence-based treatment may speed up guideline implementation. Danish low back pain (LBP) guidelines focus on primary care treatment of LBP, to reduce referrals from primary care to secondary care. The primary aim of this project was to reduce secondary care referral within 12 weeks by a multifaceted implementation strategy (MuIS). Methods In a cluster randomised design, 189 general practices from the North Denmark Region were invited to participate. Practices were randomised (1:1) and stratified by practice size to MuIS (28 practices) or a passive implementation strategy (PaIS; 32 practices). Included were patients with LBP aged 18 to 65 years who were able to complete questionnaires, had no serious underlying pathology, and were not pregnant. We developed a MuIS including outreach visits, quality reports, and the STarT Back Tool for subgrouping patients with LBP. Both groups were offered the usual dissemination of guidelines, guideline-concordant structuring of the medical record, and a new referral opportunity for patients with psycho-social problems. In an intention-to-treat analysis, the primary and secondary outcomes pertained to the patient, and a cost-effectiveness analysis was performed from a healthcare sector perspective. Patients and the assessment of outcomes were blinded. Practices and caregivers delivering the interventions were not blinded. Results Between January 2013 and July 2014, 60 practices were included, of which 54 practices (28 MuIS, 26 PaIS) included 1101 patients (539 MuIS, 562 PaIS). Follow-up data for the primary outcome were available on 100 % of these patients. Twenty-seven patients (5.0 %) in the MuIS group were referred to secondary care vs. 59 patients (10.5 %) in the PaIS group. The adjusted odds ratio (AOR) was 0.52 [95 % CI 0.30 to 0.90; p = 0.020]. The MuIS was cost-saving £−93.20 (£406.51 vs. £499.71 per patient) after 12 weeks. Conversely, the MuIS resulted in less satisfied patients after 52 weeks (AOR 0.50 [95 % CI 0.31 to 0.81; p = 0.004]). Conclusions Using a MuIS changed general practice referral behaviour and was cost effective, but patients in the MuIS group were less satisfied. This study supports the application of a MuIS when implementing guidelines. Trial registration ClinicalTrials.gov, NCT01699256 Electronic supplementary material The online version of this article (doi:10.1186/s13012-016-0509-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Allan Riis
- Department of Clinical Medicine, Research Unit for General Practice in Aalborg, Aalborg University, Fyrkildevej 7, 1.3, 9220, Aalborg, Denmark.
| | - Cathrine Elgaard Jensen
- Danish Center for Healthcare Improvements, Aalborg University, Fibigerstræde 11, 9220, Aalborg, Denmark
| | - Flemming Bro
- Research Unit for General Practice, Aarhus University, Bartholins Allé 2, 8000, Aarhus C, Denmark
| | | | - Karin Dam Petersen
- Danish Center for Healthcare Improvements, Aalborg University, Fibigerstræde 11, 9220, Aalborg, Denmark
| | - Mette Dahl Bendtsen
- Unit of Clinical Biostatistics and Bioinformatics, Aalborg University, Sdr. Skovvej 15, 9000, Aalborg, Denmark
| | - Martin Bach Jensen
- Department of Clinical Medicine, Research Unit for General Practice in Aalborg, Aalborg University, Fyrkildevej 7, 1.3, 9220, Aalborg, Denmark
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Yan Z, Ip IK, Raja AS, Gupta A, Kosowsky JM, Khorasani R. Yield of CT Pulmonary Angiography in the Emergency Department When Providers Override Evidence-based Clinical Decision Support. Radiology 2016; 282:717-725. [PMID: 27689922 DOI: 10.1148/radiol.2016151985] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To determine the frequency of, and yield after, provider overrides of evidence-based clinical decision support (CDS) for ordering computed tomographic (CT) pulmonary angiography in the emergency department (ED). Materials and Methods This HIPAA-compliant, institutional review board-approved study was performed at a tertiary care, academic medical center ED with approximately 60 000 annual visits and included all patients who were suspected of having pulmonary embolism (PE) and who underwent CT pulmonary angiography between January 1, 2011, and August 31, 2013. The requirement to obtain informed consent was waived. Each CT order for pulmonary angiography was exposed to CDS on the basis of the Wells criteria. For patients with a Wells score of 4 or less, CDS alerts suggested d-dimer testing because acute PE is highly unlikely in these patients if d-dimer levels are normal. The yield of CT pulmonary angiography (number of positive PE diagnoses/total number of CT pulmonary angiographic examinations) was compared in patients in whom providers overrode CDS alerts (by performing CT pulmonary angiography in patients with a Wells score ≤4 and a normal d-dimer level or no d-dimer testing) (override group) and those in whom providers followed Wells criteria (CT pulmonary angiography only in patients with Wells score >4 or ≤4 with elevated d-dimer level) (adherent group). A validated natural language processing tool identified positive PE diagnoses, with subsegmental and/or indeterminate diagnoses removed by means of chart review. Statistical analysis was performed with the χ2 test, the Student t test, and logistic regression. Results Among 2993 CT pulmonary angiography studies in 2655 patients, 563 examinations had a Wells score of 4 or less but did not undergo d-dimer testing and 26 had a Wells score of 4 or less and had normal d-dimer levels. The yield of CT pulmonary angiography was 4.2% in the override group (25 of 589 studies, none with a normal d-dimer level) and 11.2% in the adherent group (270 of 2404 studies) (P < .001). After adjustment for the risk factor differences between the two groups, the odds of an acute PE finding were 51.3% lower when providers overrode alerts than when they followed CDS guidelines. Comparison of the two groups including only patients unlikely to have PE led to similar results. Conclusion The odds of an acute PE finding in the ED when providers adhered to evidence presented in CDS were nearly double those seen when providers overrode CDS alerts. Most overrides were due to the lack of d-dimer testing in patients unlikely to have PE. © RSNA, 2016.
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Affiliation(s)
- Zihao Yan
- From the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.)
| | - Ivan K Ip
- From the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.)
| | - Ali S Raja
- From the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.)
| | - Anurag Gupta
- From the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.)
| | - Joshua M Kosowsky
- From the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.)
| | - Ramin Khorasani
- From the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.)
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Reducing Unnecessary Shoulder MRI Examinations Within a Capitated Health Care System: A Potential Role for Shoulder Ultrasound. J Am Coll Radiol 2016; 13:780-7. [PMID: 27162045 DOI: 10.1016/j.jacr.2016.03.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 03/01/2016] [Accepted: 03/11/2016] [Indexed: 02/07/2023]
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Lacson R, Raja AS, Osterbur D, Ip I, Schneider L, Bain P, Mita C, Whelan J, Silveira P, Dement D, Khorasani R. Assessing Strength of Evidence of Appropriate Use Criteria for Diagnostic Imaging Examinations. J Am Med Inform Assoc 2016; 23:649-53. [PMID: 26911819 DOI: 10.1093/jamia/ocv194] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 11/09/2015] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE For health information technology tools to fully inform evidence-based decisions, recommendations must be reliably assessed for quality and strength of evidence. We aimed to create an annotation framework for grading recommendations regarding appropriate use of diagnostic imaging examinations. METHODS The annotation framework was created by an expert panel (clinicians in three medical specialties, medical librarians, and biomedical scientists) who developed a process for achieving consensus in assessing recommendations, and evaluated by measuring agreement in grading the strength of evidence for 120 empirically selected recommendations using the Oxford Levels of Evidence. RESULTS Eighty-two percent of recommendations were assigned to Level 5 (expert opinion). Inter-annotator agreement was 0.70 on initial grading (κ = 0.35, 95% CI, 0.23-0.48). After systematic discussion utilizing the annotation framework, agreement increased significantly to 0.97 (κ = 0.88, 95% CI, 0.77-0.99). CONCLUSIONS A novel annotation framework was effective for grading the strength of evidence supporting appropriate use criteria for diagnostic imaging exams.
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Affiliation(s)
- Ronilda Lacson
- Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA Harvard Medical School, Boston, MA 02115, USA
| | - Ali S Raja
- Harvard Medical School, Boston, MA 02115, USA Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - David Osterbur
- Harvard Medical School, Boston, MA 02115, USA Countway Library of Medicine, Boston, MA 02115, USA
| | - Ivan Ip
- Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA Harvard Medical School, Boston, MA 02115, USA Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Louise Schneider
- Harvard Medical School, Boston, MA 02115, USA Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Paul Bain
- Harvard Medical School, Boston, MA 02115, USA Countway Library of Medicine, Boston, MA 02115, USA
| | - Carol Mita
- Harvard Medical School, Boston, MA 02115, USA Countway Library of Medicine, Boston, MA 02115, USA
| | - Julia Whelan
- Harvard Medical School, Boston, MA 02115, USA Countway Library of Medicine, Boston, MA 02115, USA
| | - Patricia Silveira
- Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - David Dement
- Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Ramin Khorasani
- Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA Harvard Medical School, Boston, MA 02115, USA
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The Value of Imaging Part II: Value beyond Image Interpretation. Acad Radiol 2016; 23:23-9. [PMID: 26683509 DOI: 10.1016/j.acra.2015.09.017] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Revised: 09/09/2015] [Accepted: 09/20/2015] [Indexed: 12/21/2022]
Abstract
Although image interpretation is an essential part of radiologists' value, there are other ways in which we contribute to patient care. Part II of the value of imaging series reviews current initiatives that demonstrate value beyond the image interpretation. Standardizing processes, reducing the radiation dose of our examinations, clarifying written reports, improving communications with patients and providers, and promoting appropriate imaging through decision support are all ways we can provide safer, more consistent, and higher quality care. As payers and policy makers push to drive value, research that demonstrates the value of these endeavors, or lack thereof, will become increasingly sought after and supported.
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Sabbatini AK, Merck LH, Froemming AT, Vaughan W, Brown MD, Hess EP, Applegate KE, Comfere NI. Optimizing Patient-centered Communication and Multidisciplinary Care Coordination in Emergency Diagnostic Imaging: A Research Agenda. Acad Emerg Med 2015; 22:1427-34. [PMID: 26575785 DOI: 10.1111/acem.12826] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Accepted: 07/06/2015] [Indexed: 12/17/2022]
Abstract
Patient-centered emergency diagnostic imaging relies on efficient communication and multispecialty care coordination to ensure optimal imaging utilization. The construct of the emergency diagnostic imaging care coordination cycle with three main phases (pretest, test, and posttest) provides a useful framework to evaluate care coordination in patient-centered emergency diagnostic imaging. This article summarizes findings reached during the patient-centered outcomes session of the 2015 Academic Emergency Medicine consensus conference "Diagnostic Imaging in the Emergency Department: A Research Agenda to Optimize Utilization." The primary objective was to develop a research agenda focused on 1) defining component parts of the emergency diagnostic imaging care coordination process, 2) identifying gaps in communication that affect emergency diagnostic imaging, and 3) defining optimal methods of communication and multidisciplinary care coordination that ensure patient-centered emergency diagnostic imaging. Prioritized research questions provided the framework to define a research agenda for multidisciplinary care coordination in emergency diagnostic imaging.
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Affiliation(s)
| | - Lisa H. Merck
- Department of Emergency Medicine; Brown University; Providence RI
- Department of Diagnostic Imaging; Brown University; Providence RI
| | | | | | - Michael D. Brown
- Department of Emergency Medicine; Michigan State University; Grand Rapids MI
| | - Erik P. Hess
- Department of Emergency Medicine; Mayo Clinic; Rochester MN
- Knowledge and Evaluation Research Unit; Division of Healthcare Policy Research; Department of Health Services Research; Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery; Mayo Clinic; Rochester MN
| | - Kimberly E. Applegate
- Department of Radiology and Imaging Sciences; Emory University School of Medicine; Atlanta GA
| | - Nneka I. Comfere
- Department of Dermatology; Laboratory Medicine & Pathology; Mayo Clinic; Rochester MN
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Goldzweig CL, Orshansky G, Paige NM, Miake-Lye IM, Beroes JM, Ewing BA, Shekelle PG. Electronic health record-based interventions for improving appropriate diagnostic imaging: a systematic review and meta-analysis. Ann Intern Med 2015; 162:557-65. [PMID: 25894025 DOI: 10.7326/m14-2600] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND One driver of increasing health care costs is the use of radiologic imaging procedures. More appropriate use could improve quality and reduce costs. PURPOSE To review interventions that use the computerized clinical decision-support (CCDS) capabilities of electronic health records to improve appropriate use of diagnostic radiologic test ordering. DATA SOURCES English-language articles in PubMed from 1995 to September 2014 and searches in Web of Science and PubMed of citations related to key articles. STUDY SELECTION 23 studies, including 3 randomized trials, 7 time-series studies, and 13 pre-post studies that assessed the effect of CCDS on diagnostic radiologic test ordering in adults. DATA EXTRACTION 2 independent reviewers extracted data on functionality, study outcomes, and context and assessed the quality of included studies. DATA SYNTHESIS Thirteen studies provided moderate-level evidence that CCDS improves appropriateness (effect size, -0.49 [95% CI, -0.71 to -0.26]) and reduces use (effect size, -0.13 [CI, -0.23 to -0.04]). Interventions with a "hard stop" that prevents a clinician from overriding the CCDS without outside consultation, as well as interventions in integrated care delivery systems, may be more effective. Harms have rarely been assessed but include decreased ordering of appropriate tests and physician dissatisfaction. LIMITATION Potential for publication bias, insufficient reporting of harms, and poor description of context and implementation. CONCLUSION Computerized clinical decision support integrated with the electronic health record can improve appropriate use of diagnostic radiology by a moderate amount and decrease use by a small amount. Before widespread adoption can be recommended, more data are needed on potential harms. PRIMARY FUNDING SOURCE U.S. Department of Veterans Affairs. (PROSPERO registration number: CRD42014007469).
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Affiliation(s)
- Caroline Lubick Goldzweig
- From West Los Angeles Veterans Affairs Medical Center and University of California, Los Angeles, Fielding School of Public Health, Los Angeles, and RAND Corporation, Southern California Evidence-based Practice Center, Santa Monica, California
| | - Greg Orshansky
- From West Los Angeles Veterans Affairs Medical Center and University of California, Los Angeles, Fielding School of Public Health, Los Angeles, and RAND Corporation, Southern California Evidence-based Practice Center, Santa Monica, California
| | - Neil M. Paige
- From West Los Angeles Veterans Affairs Medical Center and University of California, Los Angeles, Fielding School of Public Health, Los Angeles, and RAND Corporation, Southern California Evidence-based Practice Center, Santa Monica, California
| | - Isomi M. Miake-Lye
- From West Los Angeles Veterans Affairs Medical Center and University of California, Los Angeles, Fielding School of Public Health, Los Angeles, and RAND Corporation, Southern California Evidence-based Practice Center, Santa Monica, California
| | - Jessica M. Beroes
- From West Los Angeles Veterans Affairs Medical Center and University of California, Los Angeles, Fielding School of Public Health, Los Angeles, and RAND Corporation, Southern California Evidence-based Practice Center, Santa Monica, California
| | - Brett A. Ewing
- From West Los Angeles Veterans Affairs Medical Center and University of California, Los Angeles, Fielding School of Public Health, Los Angeles, and RAND Corporation, Southern California Evidence-based Practice Center, Santa Monica, California
| | - Paul G. Shekelle
- From West Los Angeles Veterans Affairs Medical Center and University of California, Los Angeles, Fielding School of Public Health, Los Angeles, and RAND Corporation, Southern California Evidence-based Practice Center, Santa Monica, California
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