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Vimalananda VG, Orlander JD, Afable MK, Fincke BG, Solch AK, Rinne ST, Kim EJ, Cutrona SL, Thomas DD, Strymish JL, Simon SR. Electronic consultations (E-consults) and their outcomes: a systematic review. J Am Med Inform Assoc 2021; 27:471-479. [PMID: 31621847 DOI: 10.1093/jamia/ocz185] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 08/06/2019] [Accepted: 09/30/2019] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE Electronic consultations (e-consults) are clinician-to-clinician communications that may obviate face-to-face specialist visits. E-consult programs have spread within the US and internationally despite limited data on outcomes. We conducted a systematic review of the recent peer-reviewed literature on the effect of e-consults on access, cost, quality, and patient and clinician experience and identified the gaps in existing research on these outcomes. MATERIALS AND METHODS We searched 4 databases for empirical studies published between 1/1/2015 and 2/28/2019 that reported on one or more outcomes of interest. Two investigators reviewed titles and abstracts. One investigator abstracted information from each relevant article, and another confirmed the abstraction. We applied the GRADE criteria for the strength of evidence for each outcome. RESULTS We found only modest empirical evidence for effectiveness of e-consults on important outcomes. Most studies are observational and within a single health care system, and comprehensive assessments are lacking. For those outcomes that have been reported, findings are generally positive, with mixed results for clinician experience. These findings reassure but also raise concern for publication bias. CONCLUSION Despite stakeholder enthusiasm and encouraging results in the literature to date, more rigorous study designs applied across all outcomes are needed. Policy makers need to know what benefits may be expected in what contexts, so they can define appropriate measures of success and determine how to achieve them.
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Affiliation(s)
- Varsha G Vimalananda
- Center for Healthcare Organization and Implementation Research, Bedford VA Medical Center, Bedford, Massachusetts, USA.,Section of Endocrinology, Diabetes, and Metabolism, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Jay D Orlander
- Department of General Medicine, VA Boston Healthcare System, Boston, Massachusetts, USA.,Evans Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Melissa K Afable
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, Massachusetts, USA.,Department of Quality, Safety and Value, Partners Healthcare System, Boston, Massachusetts, USA
| | - B Graeme Fincke
- Center for Healthcare Organization and Implementation Research, Bedford VA Medical Center, Bedford, Massachusetts, USA.,Section of Health Law, Policy & Management, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Amanda K Solch
- Center for Healthcare Organization and Implementation Research, Bedford VA Medical Center, Bedford, Massachusetts, USA
| | - Seppo T Rinne
- Center for Healthcare Organization and Implementation Research, Bedford VA Medical Center, Bedford, Massachusetts, USA.,Section of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Eun Ji Kim
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, Massachusetts, USA.,Division of General Internal Medicine, Zucker School of Medicine, Hofstra Northwell, Manhasset, New York, USA
| | - Sarah L Cutrona
- Center for Healthcare Organization and Implementation Research, Bedford VA Medical Center, Bedford, Massachusetts, USA.,Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Dylan D Thomas
- Center for Healthcare Organization and Implementation Research, Bedford VA Medical Center, Bedford, Massachusetts, USA.,Section of Endocrinology, Diabetes, and Metabolism, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Judith L Strymish
- Department of Medicine, Harvard Medical School, Cambridge, Massachusetts, USA.,Department of Medicine and Infectious Diseases, VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Steven R Simon
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, Massachusetts, USA.,Department of Medicine, Harvard Medical School, Cambridge, Massachusetts, USA.,Geriatrics and Extended Care Service, VA Boston Healthcare System, Boston, Massachusetts, USA
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Krukas A, Franklin E, Bonk C, Howe J, Dixit R, Adams K, Krevat S, Jones R, Ratwani R. Identifying Safety Hazards Associated With Intravenous Vancomycin Through the Analysis
of Patient Safety Event Reports. PatientSaf 2020. [DOI: 10.33940/data/2020.3.3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Intravenous (IV) vancomycin is one of the most commonly used antibiotics in U.S. hospitals. There are several complexities associated with IV vancomycin use, including the need to have an accurate patient weight for dosing, to provide close monitoring to ensure appropriate drug levels, to monitor renal function, and to continue delivery of the medication at prescribed intervals. There are numerous healthcare system factors, including workflow processes, policies, health information technology, and clinical knowledge that impact the safe use of IV vancomycin. Past literature has identified several safety hazards associated with IV vancomycin use and there are some proposed
solutions. Despite this literature, IV vancomycin–related safety issues persist. We analyzed patient safety event reports describing IV vancomycin–related issues in order to identify where in the medication process these issues were appearing, the type of medication error associated with each report, and general contributing factor themes. Our results demonstrate that recent safety reports are aligned with the issues already identified in the literature, suggesting that improvements discussed in the literature have not translated to clinical practice. Based on our analysis and current literature,
we have developed a shareable infographic to improve clinician awareness of the complications and safety hazards associated with IV vancomycin and a self-assessment tool to support identification of opportunities to improve patient safety during IV vancomycin therapy. We also recommend development of clear guidelines to optimize health information technology systems to better support safe IV vancomycin use.
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Affiliation(s)
- Adam Krukas
- MedStar Health National Center for Human Factors in Healthcare
| | - Ella Franklin
- MedStar Health National Center for Human Factors in Healthcare
| | - Chris Bonk
- MedStar Health National Center for Human Factors in Healthcare
| | - Jessica Howe
- MedStar Health National Center for Human Factors in Healthcare
| | - Ram Dixit
- MedStar Health National Center for Human Factors in Healthcare
| | - Katie Adams
- MedStar Health National Center for Human Factors in Healthcare
| | - Seth Krevat
- MedStar Health National Center for Human Factors in Healthcare
| | | | - Raj Ratwani
- MedStar Health National Center for Human Factors in Healthcare and Georgetown University School of Medicine
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Osman MA, Schick-Makaroff K, Thompson S, Bialy L, Featherstone R, Kurzawa J, Zaidi D, Okpechi I, Habib S, Shojai S, Jindal K, Braam B, Keely E, Liddy C, Manns B, Tonelli M, Hemmelgarn B, Klarenbach S, Bello AK. Barriers and facilitators for implementation of electronic consultations (eConsult) to enhance access to specialist care: a scoping review. BMJ Glob Health 2019; 4:e001629. [PMID: 31565409 PMCID: PMC6747903 DOI: 10.1136/bmjgh-2019-001629] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 08/04/2019] [Accepted: 08/10/2019] [Indexed: 01/02/2023] Open
Abstract
INTRODUCTION Electronic consultation (eConsult)-provider-to-provider electronic asynchronous exchanges of patient health information at a distance-is emerging as a potential tool to improve the interface between primary care providers and specialists. Despite growing evidence that eConsult has clinical benefits, it is not widely adopted. We investigated factors influencing the adoption and implementation of eConsult services. METHODS We applied established methods to guide the review, and the recently published Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews to report our findings. We searched five electronic databases and the grey literature for relevant studies. Two reviewers independently screened titles and full texts to identify studies that reported barriers to and/or facilitators of eConsult (asynchronous (store-and-forward) use of telemedicine to exchange patient health information between two providers (primary and secondary) at a distance using secure infrastructure). We extracted data on study characteristics and key barriers and facilitators were analysed thematically and classified using the Quadruple Aim framework taxonomy. No date or language restrictions were applied. RESULTS Among the 2579 publications retrieved, 130 studies met eligibility for the review. We identified and summarised key barriers to and facilitators of eConsult adoption and implementation across four domains: provider, patient, healthcare system and cost. Key barriers were increased workload for providers, privacy concerns and insufficient reimbursement for providers. Main facilitators were remote residence location, timely responses from specialists, utilisation of referral coordinators, addressing medicolegal concerns and incentives for providers to use eConsult. CONCLUSION There are multiple barriers to and facilitators of eConsult adoption across the domains of Quadruple Aim framework. Our findings will inform the development of practice tools to support the wider adoption and scalability of eConsult implementation.
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Affiliation(s)
- Mohamed A Osman
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | | | - Stephanie Thompson
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Liza Bialy
- Alberta Research Centre for Health Evidence, University of Alberta, Edmonton, Alberta, Canada
- Alberta SPOR SUPPORT Unit, Knowledge Translation platform, Edmonton, Alberta, Canada
| | - Robin Featherstone
- Alberta Research Centre for Health Evidence, University of Alberta, Edmonton, Alberta, Canada
- Alberta SPOR SUPPORT Unit, Knowledge Translation platform, Edmonton, Alberta, Canada
| | - Julia Kurzawa
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Deenaz Zaidi
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Ikechi Okpechi
- Division of Nephrology and Hypertension, University of Cape Town, Cape Town, South Africa
| | - Syed Habib
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Soroush Shojai
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Kailash Jindal
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Branko Braam
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Erin Keely
- Departments of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Division of Endocrinology/Metabolism, The Ottawa Hospital, Ottawa, Ontario, Canada
- Ottawa Research Institute, Ottawa, Ontario, Canada
| | - Clare Liddy
- Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada
- CT Lamont Primary Healthcare Research Centre, Bruyere Research Institute, Ottawa, Ontario, Canada
| | - Braden Manns
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Marcello Tonelli
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Brenda Hemmelgarn
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Scott Klarenbach
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Aminu K Bello
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
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