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Ende HB, Bateman BT. Quality Improvement in the Digital Age: The Promise of Using Informatics to Improve Obstetric Anesthesia Care. Anesth Analg 2024; 139:1215-1222. [PMID: 39231038 DOI: 10.1213/ane.0000000000006841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2024]
Abstract
Informatics describes the study and use of processes for obtaining and utilizing data. In the clinical context, these data are then used to inform and educate providers to improve patient care. In the current digital age, informatic solutions can help clinicians to understand past or current quality issues (afferent tools), to benchmark personal performance against national averages (feedback tools), and to disseminate information to encourage best practice and quality care (efferent tools). There are countless examples of how these tools can be adapted for use in obstetric anesthesia, with evidence to support their implementation. This article thus aimed to summarize the many ways in which informatics can help clinicians to harness the power of data to improve quality and safety in obstetric anesthesia.
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Affiliation(s)
- Holly B Ende
- From the Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Brian T Bateman
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California
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Calderwood MS, Anderson DJ, Bratzler DW, Dellinger EP, Garcia-Houchins S, Maragakis LL, Nyquist AC, Perkins KM, Preas MA, Saiman L, Schaffzin JK, Schweizer M, Yokoe DS, Kaye KS. Strategies to prevent surgical site infections in acute-care hospitals: 2022 Update. Infect Control Hosp Epidemiol 2023; 44:695-720. [PMID: 37137483 PMCID: PMC10867741 DOI: 10.1017/ice.2023.67] [Citation(s) in RCA: 83] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
The intent of this document is to highlight practical recommendations in a concise format designed to assist acute-care hospitals in implementing and prioritizing their surgical-site infection (SSI) prevention efforts. This document updates the Strategies to Prevent Surgical Site Infections in Acute Care Hospitals published in 2014. This expert guidance document is sponsored by the Society for Healthcare Epidemiology of America (SHEA). It is the product of a collaborative effort led by SHEA, the Infectious Diseases Society of America (IDSA), the Association for Professionals in Infection Control and Epidemiology (APIC), the American Hospital Association (AHA), and The Joint Commission, with major contributions from representatives of a number of organizations and societies with content expertise.
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Affiliation(s)
| | - Deverick J. Anderson
- Duke Center for Antimicrobial Stewardship and Infection Prevention, Duke University School of Medicine, Durham, North Carolina, United States
| | - Dale W. Bratzler
- University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States
| | | | | | - Lisa L. Maragakis
- Johns Hopkins School of Medicine, Baltimore, Maryland, United States
| | - Ann-Christine Nyquist
- Children’s Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Kiran M. Perkins
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Michael Anne Preas
- University of Maryland Medical System, Baltimore, Maryland, United States
| | - Lisa Saiman
- Columbia University Irving Medical Center and NewYork–Presbyterian Hospital, New York, New York, United States
| | - Joshua K. Schaffzin
- Children’s Hospital of Eastern Ontario, University of Ottawa, Ottawa, Ontario, Canada
| | - Marin Schweizer
- Center for Access and Delivery Research and Evaluation, Iowa City VA Health Care System, University of Iowa, Iowa City, Iowa
| | - Deborah S. Yokoe
- University of California-San Francisco, San Francisco, California, United States
| | - Keith S. Kaye
- Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, United States
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Zurynski Y, Herkes-Deane J, Holt J, McPherson E, Lamprell G, Dammery G, Meulenbroeks I, Halim N, Braithwaite J. How can the healthcare system deliver sustainable performance? A scoping review. BMJ Open 2022; 12:e059207. [PMID: 35613812 PMCID: PMC9125771 DOI: 10.1136/bmjopen-2021-059207] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 01/14/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Increasing health costs, demand and patient multimorbidity challenge the sustainability of healthcare systems. These challenges persist and have been amplified by the global pandemic. OBJECTIVES We aimed to develop an understanding of how the sustainable performance of healthcare systems (SPHS) has been conceptualised, defined and measured. DESIGN Scoping review of peer-reviewed articles and editorials published from database inception to February 2021. DATA SOURCES PubMed and Ovid Medline, and snowballing techniques. ELIGIBILITY CRITERIA We included articles that discussed key focus concepts of SPHS: (1) definitions, (2) measurement, (3) identified challenges, (4) identified solutions for improvement and (5) scaling successful solutions to maintain SPHS. DATA EXTRACTION AND SYNTHESIS After title/abstract screening, full-text articles were reviewed, and relevant information extracted and synthesised under the five focus concepts. RESULTS Of 142 included articles, 38 (27%) provided a definition of SPHS. Definitions were based mainly on financial sustainability, however, SPHS was also more broadly conceptualised and included acceptability to patients and workforce, resilience through adaptation, and rapid absorption of evidence and innovations. Measures of SPHS were also predominantly financial, but recent articles proposed composite measures that accounted for financial, social and health outcomes. Challenges to achieving SPHS included the increasingly complex patient populations, limited integration because of entrenched fragmented systems and siloed professional groups, and the ongoing translational gaps in evidence-to-practice and policy-to-practice. Improvement strategies for SPHS included developing appropriate workplace cultures, direct community and consumer involvement, and adoption of evidence-based practice and technologies. There was also a strong identified need for long-term monitoring and evaluations to support adaptation of healthcare systems and to anticipate changing needs where possible. CONCLUSIONS To implement lasting change and to respond to new challenges, we need context-relevant definitions and frameworks, and robust, flexible, and feasible measures to support the long-term sustainability and performance of healthcare systems.
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Affiliation(s)
- Yvonne Zurynski
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
| | - Jessica Herkes-Deane
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Joanna Holt
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
| | - Elise McPherson
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Gina Lamprell
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Genevieve Dammery
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
| | - Isabelle Meulenbroeks
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
| | - Nicole Halim
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- NHMRC Partnership Centre for Health System Sustainability, Macquarie University, North Ryde, New South Wales, Australia
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Perioperative antimicrobial decision making: Focused ethnography study in orthopedic and cardiothoracic surgeries in an Australian hospital. Infect Control Hosp Epidemiol 2021; 41:645-652. [PMID: 32183916 DOI: 10.1017/ice.2020.48] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Antimicrobial use in the surgical setting is common and frequently inappropriate. Understanding the behavioral context of antimicrobial use is a critical step to developing stewardship programs. DESIGN In this study, we employed qualitative methodologies to describe the phenomenon of antimicrobial use in 2 surgical units: orthopedic surgery and cardiothoracic surgery. SETTING This study was conducted at a public, quaternary, university-affiliated hospital. PARTICIPANTS Healthcare professionals from the 2 surgical unit teams participated in the study. METHODS We used focused ethnographic and face-to-face semi-structured interviews to observe antimicrobial decision-making behaviors across the patient's journey from the preadmission clinic to the operating room to the postoperative ward. RESULTS We identified 4 key themes influencing decision making in the surgical setting. Compartmentalized communication (theme 1) was observed with demarcated roles and defined pathways for communication (theme 2). Antimicrobial decisions in the operating room were driven by the most senior members of the team. These decisions, however, were delegated to more junior members of staff in the ward and clinic environment (theme 3). Throughout the patient's journey, communication with the patient about antimicrobial use was limited (theme 4). CONCLUSIONS Approaches to decision making in surgery are highly structured. Although this structure appears to facilitate smooth flow of responsibility, more junior members of the staff may be disempowered. In addition, opportunities for shared decision making with patients were limited. Antimicrobial stewardship programs need to recognize the hierarchal structure as well as opportunities to engage the patient in shared decision making.
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Promoting Evidence-Based Practice in Acute Respiratory Distress Syndrome: A Systematic Review. Crit Care Explor 2021; 3:e0391. [PMID: 33912832 PMCID: PMC8078296 DOI: 10.1097/cce.0000000000000391] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Supplemental Digital Content is available in the text. OBJECTIVE: Low tidal volume ventilation and prone positioning are recommended therapies yet underused in acute respiratory distress syndrome. We aimed to assess the role of interventions focused on implementation of low tidal volume ventilation and prone positioning in mechanically ventilated adult patients with acute respiratory distress syndrome. DATA SOURCES: PubMed, Excerpta Medica Database, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Central Register of Controlled Trials. STUDY SELECTION: We searched the four databases from January 1, 2001, to January 28, 2021, for studies that met the predefined search criteria. Selected studies focused on interventions to improve implementation of low tidal volume ventilation and prone positioning in mechanically ventilated patients with acute respiratory distress syndrome. DATA EXTRACTION: Two authors independently performed study selection and data extraction using a standardized form. DATA SYNTHESIS: Due to methodological heterogeneity of included studies, meta-analysis was not feasible; thus, we provided a narrative summary and assessment of the literature. Eight nonrandomized studies met our eligibility criteria. Most studies looked at interventions to improve adherence to low tidal volume ventilation. Most interventions focused on education for providers. Studies were primarily conducted in the ICU and involved trainees, intensivists, respiratory therapists, and critical care nurses. Although overall quality of the studies was very low, the primary outcomes of interest suggest that interventions could improve adherence to or implementation of low tidal volume ventilation and prone positioning in acute respiratory distress syndrome. Measurements and Main Results: Two authors independently performed study selection and data extraction using a standardized form. Due to methodologic heterogeneity of included studies, meta-analysis was not feasible; thus, we provided a narrative summary and assessment of the literature. Eight nonrandomized studies met our eligibility criteria. Most studies looked at interventions to improve adherence to low tidal volume ventilation. Most interventions focused on education for providers. Studies were primarily conducted in the ICU and involved trainees, intensivists, respiratory therapists, and critical care nurses. Although overall quality of the studies was very low, the primary outcomes of interest suggest that interventions could improve adherence to or implementation of low tidal volume ventilation and prone positioning in acute respiratory distress syndrome. Conclusions: There is a dearth of literature addressing interventions to improve implementation of evidence-based practices in acute respiratory distress syndrome. Existing interventions to improve clinician knowledge and facilitate application of low tidal volume ventilation and prone positioning may be effective, but supporting studies have significant limitations.
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Hassan S, Chan V, Stevens J, Stupans I. Factors that influence adherence to surgical antimicrobial prophylaxis (SAP) guidelines: a systematic review. Syst Rev 2021; 10:29. [PMID: 33453730 PMCID: PMC7811740 DOI: 10.1186/s13643-021-01577-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 01/02/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Despite the extensive research that has been conducted to date, practice often differs from established guidelines and will vary between individuals and organisations. It has been noted that the global uptake of local and international surgical antimicrobial prophylaxis (SAP) guidelines is poor with limited research investigating factors that affect guideline adherence. The purpose of this systematic review was to determine the reported barriers and enablers to the adherence of SAP guidelines. METHODS A search of the literature was performed using four electronic databases (CINAHL, EMBASE, PubMed and SCOPUS) for articles published in the English language from January 1998 to December 2018. Articles were included if they were solely related to SAP and discussed the barriers or enablers to SAP guideline adherence. Articles that assessed the adherence to a range of infection control measures or discussed adherence to antibiotic treatment guidelines rather than SAP guidelines were excluded from this review. Barriers and enablers were mapped to the Theoretical Domains Framework (TDF). The Mixed Methods Appraisal Tool was used to assess the quality of included studies. RESULTS A total of 1489 papers were originally retrieved, with 48 papers meeting the eligibility criteria. Barriers and enablers were mapped to 11 out of 14 TDF domains: knowledge, skills, social/professional role and identity, beliefs about capabilities, beliefs about consequences, reinforcement, memory, attention and decision processes, environmental context and resources, social influences, emotion and behavioural regulation. Barriers were further categorised into personal or organisational barriers, while enablers were arranged under commonly trialled interventions. CONCLUSIONS There are numerous factors that can determine the uptake of SAP guidelines. An identification and understanding of these factors at a local level is required to develop tailored interventions to enhance guideline adherence. Interventions, when used in combination, can be considered as a means of improving guideline use.
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Affiliation(s)
- Sarah Hassan
- Pharmacy, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.
| | - Vincent Chan
- Pharmacy, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia
| | - Julie Stevens
- Pharmacy, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.,School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, South Australia, Australia.,Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Ieva Stupans
- Pharmacy, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia
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Sholler D. Infrastructuring as an Occasion for Resistance: Organized Resistance to Policy-Driven Information Infrastructure Development in the U.S. Healthcare Industry. Comput Support Coop Work 2020. [DOI: 10.1007/s10606-020-09375-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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McKenzie KE, Mayorga ME, Miller KE, Singh N, Arnold RC, Romero-Brufau S. Notice to comply: A systematic review of clinician compliance with guidelines surrounding acute hospital-based infection management. Am J Infect Control 2020; 48:940-947. [PMID: 32192754 DOI: 10.1016/j.ajic.2020.02.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 02/11/2020] [Accepted: 02/11/2020] [Indexed: 11/27/2022]
Abstract
PURPOSE To identify and characterize studies evaluating clinician compliance with infection-related guidelines, and to explore trends in guideline design and implementation strategies. DATA SOURCES PubMed database, April 2017. Followed the PRISMA Statement for systematic reviews. STUDY SELECTION Scope was limited to studies reporting compliance with guidelines pertaining to the prevention, detection, and/or treatment of acute hospital-based infections. Initial search (1,499 titles) was reduced to 49 selected articles. DATA EXTRACTION Extracted publication and guideline characteristics, outcome measures reported, and any results related to clinician compliance. Primary summary measures were frequencies and distributions of characteristics. Interventions that led to improved compliance results were analyzed to identify trends in guideline design and implementation. RESULTS OF DATA SYNTHESIS Of the 49 selected studies, 18 (37%), 13 (27%), and 10 (20%) focused on sepsis, pneumonia, and general infection, respectively. Six (12%), 17 (35%), and 26 (53%) studies assessed local, national, and international guidelines, respectively. Twenty studies (41%) reported 1-instance compliance results, 28 studies (57%) reported 2-instance compliance results (either before-and-after studies or control group studies), and 1 study (2%) described compliance qualitatively. Average absolute change in compliance for minimal, decision support, and multimodal interventions was 10%, 14%, and 25%, respectively. Twelve studies (24%) reported no patient outcome alongside compliance. CONCLUSIONS Multimodal interventions and quality improvement initiatives seem to produce the greatest improvement in compliance, but trends in other factors were inconsistent. Additional research is required to investigate these relationships and understand the implications behind various approaches to guideline design, communication, and implementation, in addition to effectiveness of protocol impact on relevant patient outcomes.
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Affiliation(s)
| | - Maria E Mayorga
- Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC
| | - Kristen E Miller
- MedStar Institute for Innovation, MedStar Health, Washington, DC
| | - Nishant Singh
- Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC
| | - Ryan C Arnold
- Department of Emergency Medicine, Cottage Health System, Santa Ynez, CA
| | - Santiago Romero-Brufau
- Department of Medicine, Mayo Clinic, Rochester, MN; Department of Biostatistics. Harvard T.H. Chan School of Public Health, Boston, MA
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Kwak J, Wilkey AL, Abdalla M, Joshi R, Roman PEF, Greilich PE. Perioperative Blood Conservation: Guidelines to Practice. Adv Anesth 2019; 37:1-34. [PMID: 31677651 DOI: 10.1016/j.aan.2019.08.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Affiliation(s)
- Jenny Kwak
- Department of Anesthesiology and Perioperative Medicine, Loyola University Medical Center, 2160 South First Avenue, Maywood, IL 60153, USA
| | - Andrew L Wilkey
- Department of Anesthesia, Abbott Northwestern Hospital, 800 East 28th Street, Minneapolis, MN 55407, USA
| | - Mohamed Abdalla
- Department of Cardiothoracic Anesthesiology, Cleveland Clinic Lerner College of Medicine, Anesthesiology Institute, Cleveland Clinic, 9500 Euclid Avenue/J4-331, Cleveland, OH 44196, USA
| | - Ravi Joshi
- Department of Anesthesiology and Pain Management, University of Texas Southwestern Medical Center - Dallas, 5323 Harry Hines Boulevard, Dallas, TX 75390-8894, USA
| | - Philip E F Roman
- Department of Anesthesiology, Centura St. Anthony Hospital, United States Anesthesia Partners, 11600 West 2nd Place, Lakewood, CO 80228, USA
| | - Philip E Greilich
- Cardiac Anesthesiology, Department of Anesthesiology and Pain Management, University of Texas Southwestern Medical Center - Dallas, 5323 Harry Hines Boulevard, Dallas, TX 75390-8894, USA
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Roumeliotis N, Sniderman J, Adams-Webber T, Addo N, Anand V, Rochon P, Taddio A, Parshuram C. Effect of Electronic Prescribing Strategies on Medication Error and Harm in Hospital: a Systematic Review and Meta-analysis. J Gen Intern Med 2019; 34:2210-2223. [PMID: 31396810 PMCID: PMC6816608 DOI: 10.1007/s11606-019-05236-8] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 05/02/2019] [Accepted: 07/16/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND Computerized physician order entry and clinical decision support systems are electronic prescribing strategies that are increasingly used to improve patient safety. Previous reviews show limited effect on patient outcomes. Our objective was to assess the impact of electronic prescribing strategies on medication errors and patient harm in hospitalized patients. METHODS MEDLINE, EMBASE, CENTRAL, and CINAHL were searched from January 2007 to January 2018. We included prospective studies that compared hospital-based electronic prescribing strategies with control, and reported on medication error or patient harm. Data were abstracted by two reviewers and pooled using random effects model. Study quality was assessed using the Effective Practice and Organisation of Care and evidence quality was assessed using Grading of Recommendations Assessment, Development, and Evaluation. RESULTS Thirty-eight studies were included; comprised of 11 randomized control trials and 27 non-randomized interventional studies. Electronic prescribing strategies reduced medication errors (RR 0.24 (95% CI 0.13, 0.46), I2 98%, n = 11) and dosing errors (RR 0.17 (95% CI 0.08, 0.38), I2 96%, n = 9), with both risk ratios significantly affected by advancing year of publication. There was a significant effect of electronic prescribing strategies on adverse drug events (ADEs) (RR 0.52 (95% CI 0.40, 0.68), I2 0%, n = 2), but not on preventable ADEs (RR 0.55 (95% CI 0.30, 1.01), I2 78%, n = 3), hypoglycemia (RR 1.03 (95% CI 0.62-1.70), I2 28%, n = 7), length of stay (MD - 0.18 (95% - 1.42, 1.05), I2 94%, n = 7), or mortality (RR 0.97 (95% CI 0.79, 1.19), I2 74%, n = 9). The quality of evidence was rated very low. DISCUSSION Electronic prescribing strategies decrease medication errors and adverse drug events, but had no effect on other patient outcomes. Conservative interpretations of these findings are supported by significant heterogeneity and the preponderance of low-quality studies.
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Affiliation(s)
- Nadia Roumeliotis
- Department of Critical Care Medicine, The Hospital for Sick Children, Toronto, ON, Canada. .,Child Health Evaluative Sciences, and Center for Safety Research, SickKids Research Institute, Toronto, ON, Canada.
| | - Jonathan Sniderman
- Department of Critical Care Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | | | - Newton Addo
- Division of Clinical Pharmacology, Department of Medicine, UCSF, San Francisco, CA, USA
| | - Vijay Anand
- Department of Pediatrics, Stollery Children's Hospital, Edmonton, AB, Canada
| | - Paula Rochon
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Anna Taddio
- Child Health Evaluative Sciences, and Center for Safety Research, SickKids Research Institute, Toronto, ON, Canada
| | - Christopher Parshuram
- Department of Critical Care Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Child Health Evaluative Sciences, and Center for Safety Research, SickKids Research Institute, Toronto, ON, Canada
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Ierano C, Ayton D, Peel T, Marshall C, Thursky K. Evaluating the implementability of Antibiotic Surgical Prophylaxis guidelines. Infect Dis Health 2019; 25:11-21. [PMID: 31523036 DOI: 10.1016/j.idh.2019.08.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 08/19/2019] [Accepted: 08/20/2019] [Indexed: 01/09/2023]
Abstract
BACKGROUND Current Australian data highlight guideline noncompliant prescribing of antimicrobials for surgical prophylaxis. The study aim was to evaluate the implementability of the Australian national surgical prophylaxis (SAP) guidelines to identify facilitators for and barriers to compliance. METHODS Key stakeholders appraised the surgical prophylaxis guidelines using the GuideLine Implementability Appraisal (GLIA) tool. Questions with 100% agreement for the response 'Yes' were identified as facilitators and those with 100% agreement for 'No', a barrier. Questions that did not receive 100% agreement, but had a majority (40-60%) 'Yes' or 'No' consensus were considered as borderline facilitators and barriers respectively. RESULTS Ten appraisals were completed. Guideline recommendations were rated as easily identifiable and concise and were thus facilitators for implementation. The ability to measure guideline adherence and outcomes, and recommendations that were consistent with guideline user abilities and beliefs were also identified as facilitators. Borderline facilitators related to the clarity of the recommendations and whether they were explicit in what to do and in what circumstances. Evidence quality underpinning recommendations (validity), inflexibility of recommendations (flexibility) and the lack of patient data at the point of use (computability) were identified as borderline barriers to implementation. No recommendation reached agreement as being a barrier. CONCLUSION The GLIA appraisal demonstrated overall implementability of the current Australian national surgical prophylaxis guidelines. Facilitators (i.e., measurability) and borderline facilitators highlight strengths of the current guideline. Borderline barriers (i.e., validity, flexibility and computability) may negatively impact upon implementability. Guideline developers should consider these dimensions to optimise guideline uptake and consequently patient care.
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Affiliation(s)
- Courtney Ierano
- National Health and Medical Research Council Centre of Research Excellence: National Centre for Antimicrobial Stewardship (NCAS), Peter Doherty Research Institute for Infection and Immunity Melbourne, VIC, Australia; University of Melbourne, Faculty of Medicine, Dentistry and Health Sciences, Department of Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia.
| | - Darshini Ayton
- Monash University, Department of Epidemiology and Preventive Medicine, 553 St Kilda Road, Melbourne, VIC, Australia
| | - Trisha Peel
- National Health and Medical Research Council Centre of Research Excellence: National Centre for Antimicrobial Stewardship (NCAS), Peter Doherty Research Institute for Infection and Immunity Melbourne, VIC, Australia; Department of Infectious Diseases, Alfred Health/Monash University, Melbourne, VIC, Australia
| | - Caroline Marshall
- National Health and Medical Research Council Centre of Research Excellence: National Centre for Antimicrobial Stewardship (NCAS), Peter Doherty Research Institute for Infection and Immunity Melbourne, VIC, Australia; University of Melbourne, Faculty of Medicine, Dentistry and Health Sciences, Department of Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia; Infection Prevention and Surveillance Service, Royal Melbourne Hospital, Parkville, VIC, Australia; Victorian Infectious Diseases Service (VIDS), Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Karin Thursky
- National Health and Medical Research Council Centre of Research Excellence: National Centre for Antimicrobial Stewardship (NCAS), Peter Doherty Research Institute for Infection and Immunity Melbourne, VIC, Australia; University of Melbourne, Faculty of Medicine, Dentistry and Health Sciences, Department of Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia; Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
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Cancelliere C, Sutton D, Côté P, French SD, Taylor-Vaisey A, Mior SA. Implementation interventions for musculoskeletal programs of care in the active military and barriers, facilitators, and outcomes of implementation: a scoping review. Implement Sci 2019; 14:82. [PMID: 31419992 PMCID: PMC6698020 DOI: 10.1186/s13012-019-0931-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 07/31/2019] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Musculoskeletal disorders are common in the active military and are associated with significant lost duty days and disability. Implementing programs of care to manage musculoskeletal disorders can be challenging in complex healthcare systems such as in the military. Understanding how programs of care for musculoskeletal disorders have been implemented in the military and how they impact outcomes may help to inform future implementation interventions in this population. METHODS We conducted a scoping review using the modified Arksey and O'Malley framework to identify literature on (1) implementation interventions of musculoskeletal programs of care in the active military, (2) barriers and facilitators of implementation, and (3) implementation outcomes. We identified studies published in English by searching MEDLINE, CINAHL, Embase, and CENTRAL (Cochrane) from inception to 1 June 2018 and hand searched reference lists of relevant studies. We included empirical studies. We synthesized study results according to three taxonomies: the Effective Practice and Organization of Care (EPOC) taxonomy to classify the implementation interventions; the capability, opportunity, motivation-behavior (COM-B) system to classify barriers and facilitators of implementation; and Proctor et al.'s taxonomy (Adm Policy Ment Health 38:65-76, 2011) to classify outcomes in implementation research. RESULTS We identified 1785 studies and 16 were relevant. All but two of the relevant studies were conducted in the USA. Implementation interventions were primarily associated with delivery arrangements (e.g., multidisciplinary care). Most barriers or facilitators of implementation were environmental (physical or social). Service and client outcomes indicated improved efficiency of clinical care and improved function and symptomology. Studies reporting implementation outcomes indicated the programs were acceptable, appropriate, feasible, or sustainable. CONCLUSION Identification of evidence-based approaches for the management of musculoskeletal disorders is a priority for active-duty military. Our findings can be used by military health services to inform implementation strategies for musculoskeletal programs of care. Further research is needed to better understand (1) the components of implementation interventions, (2) how to overcome barriers to implementation, and (3) how to measure implementation outcomes to improve quality of care and recovery from musculoskeletal disorders.
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Affiliation(s)
- Carol Cancelliere
- Faculty of Health Sciences, University of Ontario Institute of Technology, 2000 Simcoe Street North, Science building, Room 3000, Oshawa, Ontario L1H 7K4 Canada
- UOIT-CMCC Centre for Disability Prevention and Rehabilitation, Faculty of Health Sciences, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Science building, Room 3000, Oshawa, Ontario L1H 7K4 Canada
- UOIT-CMCC Centre for Disability Prevention and Rehabilitation, Canadian Memorial Chiropractic College (CMCC), 6100 Leslie Street, Toronto, Ontario M2H 3J1 Canada
| | - Deborah Sutton
- UOIT-CMCC Centre for Disability Prevention and Rehabilitation, Faculty of Health Sciences, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Science building, Room 3000, Oshawa, Ontario L1H 7K4 Canada
- UOIT-CMCC Centre for Disability Prevention and Rehabilitation, Canadian Memorial Chiropractic College (CMCC), 6100 Leslie Street, Toronto, Ontario M2H 3J1 Canada
- Division of Research and Innovation, Canadian Memorial Chiropractic College, 6100 Leslie Street, Toronto, Ontario M2H 3J1 Canada
| | - Pierre Côté
- Faculty of Health Sciences, University of Ontario Institute of Technology, 2000 Simcoe Street North, Science building, Room 3000, Oshawa, Ontario L1H 7K4 Canada
- UOIT-CMCC Centre for Disability Prevention and Rehabilitation, Faculty of Health Sciences, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Science building, Room 3000, Oshawa, Ontario L1H 7K4 Canada
- UOIT-CMCC Centre for Disability Prevention and Rehabilitation, Canadian Memorial Chiropractic College (CMCC), 6100 Leslie Street, Toronto, Ontario M2H 3J1 Canada
- Division of Research and Innovation, Canadian Memorial Chiropractic College, 6100 Leslie Street, Toronto, Ontario M2H 3J1 Canada
- Canada Research Chair in Disability Prevention and Rehabilitation, Faculty of Health Sciences, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Science building, Room 3000, Oshawa, Ontario L1H 7K4 Canada
| | - Simon D. French
- School of Rehabilitation Therapy, Faculty of Health Sciences, Queen’s University, Louise D. Acton Building, 31 George Street, Kingston, Ontario K7L 3N6 Canada
- Department of Chiropractic, Faculty of Science and Engineering, Macquarie University, Macquarie Park, NSW 2109 Australia
| | - Anne Taylor-Vaisey
- UOIT-CMCC Centre for Disability Prevention and Rehabilitation, Faculty of Health Sciences, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Science building, Room 3000, Oshawa, Ontario L1H 7K4 Canada
- UOIT-CMCC Centre for Disability Prevention and Rehabilitation, Canadian Memorial Chiropractic College (CMCC), 6100 Leslie Street, Toronto, Ontario M2H 3J1 Canada
| | - Silvano A. Mior
- Faculty of Health Sciences, University of Ontario Institute of Technology, 2000 Simcoe Street North, Science building, Room 3000, Oshawa, Ontario L1H 7K4 Canada
- UOIT-CMCC Centre for Disability Prevention and Rehabilitation, Faculty of Health Sciences, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Science building, Room 3000, Oshawa, Ontario L1H 7K4 Canada
- UOIT-CMCC Centre for Disability Prevention and Rehabilitation, Canadian Memorial Chiropractic College (CMCC), 6100 Leslie Street, Toronto, Ontario M2H 3J1 Canada
- Division of Research and Innovation, Canadian Memorial Chiropractic College, 6100 Leslie Street, Toronto, Ontario M2H 3J1 Canada
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What we can learn from Big Data about factors influencing perioperative outcome. Curr Opin Anaesthesiol 2019; 31:723-731. [PMID: 30169341 DOI: 10.1097/aco.0000000000000659] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
PURPOSE OF REVIEW This narrative review will discuss what value Big Data has to offer anesthesiology and aims to highlight recently published articles of large databases exploring factors influencing perioperative outcome. Additionally, the future perspectives of Big Data and its major pitfalls will be discussed. RECENT FINDINGS The potential of Big Data has given an incentive to create nationwide and anesthesia-initiated registries like the MPOG and NACOR. These large databases have contributed in elucidating some of the rare perioperative complications, such as declined cognition after exposure to general anesthesia and epidural hematomas in parturients. Additionally, they are useful in finding patterns such as similar outcome in subtypes of beta-blockers and lower incidence of pneumonia in preoperative influenza vaccinations in the elderly. SUMMARY Big Data is becoming increasingly popular with the collaborative collection of registries offering anesthesia a way to explore rare perioperative complications and outcome to encourage further hypotheses testing. Although Big Data has its flaws in security, lack of expertise and methodological concerns, the future potential of analytics combined with genomics, machine learning and real-time decision support looks promising.
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Pollard RJ, Hopkins T, Smith CT, May BV, Doyle J, Chambers CL, Clark R, Buhrman W. Perianesthetic and Anesthesia-Related Mortality in a Southeastern United States Population. Anesth Analg 2018; 127:730-735. [DOI: 10.1213/ane.0000000000003483] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Wanderer JP, Gratch DM, Jacques PS, Rodriquez LI, Epstein RH. Trends in the Prevalence of Intraoperative Adverse Events at Two Academic Hospitals After Implementation of a Mandatory Reporting System. Anesth Analg 2018; 126:134-140. [DOI: 10.1213/ane.0000000000002447] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Simpao AF, Tan JM, Lingappan AM, Gálvez JA, Morgan SE, Krall MA. A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems. J Clin Monit Comput 2017; 31:885-894. [PMID: 27530457 DOI: 10.1007/s10877-016-9921-x] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 08/09/2016] [Indexed: 12/19/2022]
Abstract
Anesthesia information management systems (AIMS) are sophisticated hardware and software technology solutions that can provide electronic feedback to anesthesia providers. This feedback can be tailored to provide clinical decision support (CDS) to aid clinicians with patient care processes, documentation compliance, and resource utilization. We conducted a systematic review of peer-reviewed articles on near real-time and point-of-care CDS within AIMS using the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols. Studies were identified by searches of the electronic databases Medline and EMBASE. Two reviewers screened studies based on title, abstract, and full text. Studies that were similar in intervention and desired outcome were grouped into CDS categories. Three reviewers graded the evidence within each category. The final analysis included 25 articles on CDS as implemented within AIMS. CDS categories included perioperative antibiotic prophylaxis, post-operative nausea and vomiting prophylaxis, vital sign monitors and alarms, glucose management, blood pressure management, ventilator management, clinical documentation, and resource utilization. Of these categories, the reviewers graded perioperative antibiotic prophylaxis and clinical documentation as having strong evidence per the peer reviewed literature. There is strong evidence for the inclusion of near real-time and point-of-care CDS in AIMS to enhance compliance with perioperative antibiotic prophylaxis and clinical documentation. Additional research is needed in many other areas of AIMS-based CDS.
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Affiliation(s)
- Allan F Simpao
- Department of Anesthesiology and Critical Care, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, 3401 Civic Center Blvd., Philadelphia, PA, 19104-4399, USA.
| | - Jonathan M Tan
- Department of Anesthesiology and Critical Care, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, 3401 Civic Center Blvd., Philadelphia, PA, 19104-4399, USA
| | - Arul M Lingappan
- Department of Anesthesiology and Critical Care, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, 3401 Civic Center Blvd., Philadelphia, PA, 19104-4399, USA
| | - Jorge A Gálvez
- Department of Anesthesiology and Critical Care, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, 3401 Civic Center Blvd., Philadelphia, PA, 19104-4399, USA
| | - Sherry E Morgan
- University of Pennsylvania Biomedical Library, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA, 19104-6060, USA
| | - Michael A Krall
- The Permanente Federation and the Oregon Health and Science University, 10040 SW Balmer Circle, Portland, OR, 97219, USA
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Fedosov V, Dziadzko M, Dearani JA, Brown DR, Pickering BW, Herasevich V. Decision Support Tool to Improve Glucose Control Compliance After Cardiac Surgery. AACN Adv Crit Care 2017; 27:274-282. [PMID: 27959310 DOI: 10.4037/aacnacc2016634] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Hyperglycemia control is associated with improved outcomes in patients undergoing cardiac surgery. The Surgical Care Improvement Project metric (SCIP-inf-4) was introduced as a performance measure in surgical patients and included hyperglycemia control. Compliance with the SCIP-inf-4 metric remains suboptimal. A novel real-time decision support tool (DST) with guaranteed feedback that is based on the existing electronic medical record system was developed at a tertiary academic center. Implementation of the DST increased the compliance rate with the SCIP-inf-4 from 87.3% to 96.5%. Changes in tested clinical outcomes were not observed with improved metric compliance. This new framework can serve as a backbone for development of quality control processes for other metrics. Further and, ideally, multicenter studies are required to test if implementation of electronic DSTs will translate into improved resource utilization and outcomes for patients.
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Affiliation(s)
- Vitali Fedosov
- Vitali Fedosov is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Mikhail Dziadzko is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Joseph A. Dearani is Professor of Surgery, Department of Surgery, Mayo Clinic, Rochester, Minnesota. Daniel R. Brown is Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Brian W. Pickering is Assistant Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Vitaly Herasevich is Associate Professor of Anesthesiology and Medicine, Department of Anesthesiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905
| | - Mikhail Dziadzko
- Vitali Fedosov is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Mikhail Dziadzko is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Joseph A. Dearani is Professor of Surgery, Department of Surgery, Mayo Clinic, Rochester, Minnesota. Daniel R. Brown is Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Brian W. Pickering is Assistant Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Vitaly Herasevich is Associate Professor of Anesthesiology and Medicine, Department of Anesthesiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905
| | - Joseph A Dearani
- Vitali Fedosov is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Mikhail Dziadzko is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Joseph A. Dearani is Professor of Surgery, Department of Surgery, Mayo Clinic, Rochester, Minnesota. Daniel R. Brown is Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Brian W. Pickering is Assistant Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Vitaly Herasevich is Associate Professor of Anesthesiology and Medicine, Department of Anesthesiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905
| | - Daniel R Brown
- Vitali Fedosov is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Mikhail Dziadzko is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Joseph A. Dearani is Professor of Surgery, Department of Surgery, Mayo Clinic, Rochester, Minnesota. Daniel R. Brown is Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Brian W. Pickering is Assistant Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Vitaly Herasevich is Associate Professor of Anesthesiology and Medicine, Department of Anesthesiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905
| | - Brian W Pickering
- Vitali Fedosov is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Mikhail Dziadzko is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Joseph A. Dearani is Professor of Surgery, Department of Surgery, Mayo Clinic, Rochester, Minnesota. Daniel R. Brown is Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Brian W. Pickering is Assistant Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Vitaly Herasevich is Associate Professor of Anesthesiology and Medicine, Department of Anesthesiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905
| | - Vitaly Herasevich
- Vitali Fedosov is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Mikhail Dziadzko is Research Fellow, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Joseph A. Dearani is Professor of Surgery, Department of Surgery, Mayo Clinic, Rochester, Minnesota. Daniel R. Brown is Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Brian W. Pickering is Assistant Professor of Anesthesiology, Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota. Vitaly Herasevich is Associate Professor of Anesthesiology and Medicine, Department of Anesthesiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905
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Rawson TM, Moore LSP, Hernandez B, Charani E, Castro-Sanchez E, Herrero P, Hayhoe B, Hope W, Georgiou P, Holmes AH. A systematic review of clinical decision support systems for antimicrobial management: are we failing to investigate these interventions appropriately? Clin Microbiol Infect 2017; 23:524-532. [PMID: 28268133 DOI: 10.1016/j.cmi.2017.02.028] [Citation(s) in RCA: 116] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 02/23/2017] [Accepted: 02/25/2017] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Clinical decision support systems (CDSS) for antimicrobial management can support clinicians to optimize antimicrobial therapy. We reviewed all original literature (qualitative and quantitative) to understand the current scope of CDSS for antimicrobial management and analyse existing methods used to evaluate and report such systems. METHOD PRISMA guidelines were followed. Medline, EMBASE, HMIC Health and Management and Global Health databases were searched from 1 January 1980 to 31 October 2015. All primary research studies describing CDSS for antimicrobial management in adults in primary or secondary care were included. For qualitative studies, thematic synthesis was performed. Quality was assessed using Integrated quality Criteria for the Review Of Multiple Study designs (ICROMS) criteria. CDSS reporting was assessed against a reporting framework for behaviour change intervention implementation. RESULTS Fifty-eight original articles were included describing 38 independent CDSS. The majority of systems target antimicrobial prescribing (29/38;76%), are platforms integrated with electronic medical records (28/38;74%), and have a rules-based infrastructure providing decision support (29/38;76%). On evaluation against the intervention reporting framework, CDSS studies fail to report consideration of the non-expert, end-user workflow. They have narrow focus, such as antimicrobial selection, and use proxy outcome measures. Engagement with CDSS by clinicians was poor. CONCLUSION Greater consideration of the factors that drive non-expert decision making must be considered when designing CDSS interventions. Future work must aim to expand CDSS beyond simply selecting appropriate antimicrobials with clear and systematic reporting frameworks for CDSS interventions developed to address current gaps identified in the reporting of evidence.
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Affiliation(s)
- T M Rawson
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College, London, UK.
| | - L S P Moore
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College, London, UK
| | - B Hernandez
- Department of Electrical and Electronic Engineering, Imperial College, London, UK
| | - E Charani
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College, London, UK
| | - E Castro-Sanchez
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College, London, UK
| | - P Herrero
- Department of Electrical and Electronic Engineering, Imperial College, London, UK
| | - B Hayhoe
- School of Public Health, Imperial College, London, UK
| | - W Hope
- Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK
| | - P Georgiou
- Department of Electrical and Electronic Engineering, Imperial College, London, UK
| | - A H Holmes
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College, London, UK
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Davey P, Marwick CA, Scott CL, Charani E, McNeil K, Brown E, Gould IM, Ramsay CR, Michie S, Cochrane Effective Practice and Organisation of Care Group. Interventions to improve antibiotic prescribing practices for hospital inpatients. Cochrane Database Syst Rev 2017; 2:CD003543. [PMID: 28178770 PMCID: PMC6464541 DOI: 10.1002/14651858.cd003543.pub4] [Citation(s) in RCA: 442] [Impact Index Per Article: 55.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Antibiotic resistance is a major public health problem. Infections caused by multidrug-resistant bacteria are associated with prolonged hospital stay and death compared with infections caused by susceptible bacteria. Appropriate antibiotic use in hospitals should ensure effective treatment of patients with infection and reduce unnecessary prescriptions. We updated this systematic review to evaluate the impact of interventions to improve antibiotic prescribing to hospital inpatients. OBJECTIVES To estimate the effectiveness and safety of interventions to improve antibiotic prescribing to hospital inpatients and to investigate the effect of two intervention functions: restriction and enablement. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL) (the Cochrane Library), MEDLINE, and Embase. We searched for additional studies using the bibliographies of included articles and personal files. The last search from which records were evaluated and any studies identified incorporated into the review was January 2015. SELECTION CRITERIA We included randomised controlled trials (RCTs) and non-randomised studies (NRS). We included three non-randomised study designs to measure behavioural and clinical outcomes and analyse variation in the effects: non- randomised trials (NRT), controlled before-after (CBA) studies and interrupted time series (ITS) studies. For this update we also included three additional NRS designs (case control, cohort, and qualitative studies) to identify unintended consequences. Interventions included any professional or structural interventions as defined by the Cochrane Effective Practice and Organisation of Care Group. We defined restriction as 'using rules to reduce the opportunity to engage in the target behaviour (or increase the target behaviour by reducing the opportunity to engage in competing behaviours)'. We defined enablement as 'increasing means/reducing barriers to increase capability or opportunity'. The main comparison was between intervention and no intervention. DATA COLLECTION AND ANALYSIS Two review authors extracted data and assessed study risk of bias. We performed meta-analysis and meta-regression of RCTs and meta-regression of ITS studies. We classified behaviour change functions for all interventions in the review, including those studies in the previously published versions. We analysed dichotomous data with a risk difference (RD). We assessed certainty of evidence with GRADE criteria. MAIN RESULTS This review includes 221 studies (58 RCTs, and 163 NRS). Most studies were from North America (96) or Europe (87). The remaining studies were from Asia (19), South America (8), Australia (8), and the East Asia (3). Although 62% of RCTs were at a high risk of bias, the results for the main review outcomes were similar when we restricted the analysis to studies at low risk of bias.More hospital inpatients were treated according to antibiotic prescribing policy with the intervention compared with no intervention based on 29 RCTs of predominantly enablement interventions (RD 15%, 95% confidence interval (CI) 14% to 16%; 23,394 participants; high-certainty evidence). This represents an increase from 43% to 58% .There were high levels of heterogeneity of effect size but the direction consistently favoured intervention.The duration of antibiotic treatment decreased by 1.95 days (95% CI 2.22 to 1.67; 14 RCTs; 3318 participants; high-certainty evidence) from 11.0 days. Information from non-randomised studies showed interventions to be associated with improvement in prescribing according to antibiotic policy in routine clinical practice, with 70% of interventions being hospital-wide compared with 31% for RCTs. The risk of death was similar between intervention and control groups (11% in both arms), indicating that antibiotic use can likely be reduced without adversely affecting mortality (RD 0%, 95% CI -1% to 0%; 28 RCTs; 15,827 participants; moderate-certainty evidence). Antibiotic stewardship interventions probably reduce length of stay by 1.12 days (95% CI 0.7 to 1.54 days; 15 RCTs; 3834 participants; moderate-certainty evidence). One RCT and six NRS raised concerns that restrictive interventions may lead to delay in treatment and negative professional culture because of breakdown in communication and trust between infection specialists and clinical teams (low-certainty evidence).Both enablement and restriction were independently associated with increased compliance with antibiotic policies, and enablement enhanced the effect of restrictive interventions (high-certainty evidence). Enabling interventions that included feedback were probably more effective than those that did not (moderate-certainty evidence).There was very low-certainty evidence about the effect of the interventions on reducing Clostridium difficile infections (median -48.6%, interquartile range -80.7% to -19.2%; 7 studies). This was also the case for resistant gram-negative bacteria (median -12.9%, interquartile range -35.3% to 25.2%; 11 studies) and resistant gram-positive bacteria (median -19.3%, interquartile range -50.1% to +23.1%; 9 studies). There was too much variance in microbial outcomes to reliably assess the effect of change in antibiotic use. Heterogeneity of intervention effect on prescribing outcomesWe analysed effect modifiers in 29 RCTs and 91 ITS studies. Enablement and restriction were independently associated with a larger effect size (high-certainty evidence). Feedback was included in 4 (17%) of 23 RCTs and 20 (47%) of 43 ITS studies of enabling interventions and was associated with greater intervention effect. Enablement was included in 13 (45%) of 29 ITS studies with restrictive interventions and enhanced intervention effect. AUTHORS' CONCLUSIONS We found high-certainty evidence that interventions are effective in increasing compliance with antibiotic policy and reducing duration of antibiotic treatment. Lower use of antibiotics probably does not increase mortality and likely reduces length of stay. Additional trials comparing antibiotic stewardship with no intervention are unlikely to change our conclusions. Enablement consistently increased the effect of interventions, including those with a restrictive component. Although feedback further increased intervention effect, it was used in only a minority of enabling interventions. Interventions were successful in safely reducing unnecessary antibiotic use in hospitals, despite the fact that the majority did not use the most effective behaviour change techniques. Consequently, effective dissemination of our findings could have considerable health service and policy impact. Future research should instead focus on targeting treatment and assessing other measures of patient safety, assess different stewardship interventions, and explore the barriers and facilitators to implementation. More research is required on unintended consequences of restrictive interventions.
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Affiliation(s)
- Peter Davey
- University of DundeePopulation Health SciencesMackenzie BuildingKirsty Semple WayDundeeScotlandUKDD2 4BF
| | - Charis A Marwick
- University of DundeePopulation Health Sciences Division, Medical Research InstituteDundeeUK
| | - Claire L Scott
- NHS Education for ScotlandScottish Dental Clinical Effectiveness ProgrammeDundee Dental Education CentreSmall's WyndDundeeUKDD1 4HN
| | - Esmita Charani
- Imperial College LondonNIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial ResistanceDu Cane RoadLondonUKW12 OHS
| | - Kirsty McNeil
- University of DundeeSchool of Medicine147 Forth CrescentDundeeScotlandUKDD2 4JA
| | - Erwin Brown
- No affiliation31 Park CrescentFrenchayBristolUKBS16 1NZ
| | - Ian M Gould
- Aberdeen Royal InfirmaryDepartment of Medical MicrobiologyForesterhillAberdeenUKAB25 2ZN
| | - Craig R Ramsay
- University of AberdeenHealth Services Research Unit, Division of Applied Health SciencesPolwarth BuildingForesterhillAberdeenUKAB25 2ZD
| | - Susan Michie
- University College LondonResearch Department of Primary Care and Population HealthUpper Floor 3, Royal Free HospitalRowland Hill StreetLondonUKNW3 2PF
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Cresswell K, Mozaffar H, Shah S, Sheikh A. Approaches to promoting the appropriate use of antibiotics through hospital electronic prescribing systems: a scoping review. INTERNATIONAL JOURNAL OF PHARMACY PRACTICE 2017; 25:5-17. [PMID: 27198585 DOI: 10.1111/ijpp.12274] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2015] [Accepted: 04/20/2016] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To identify approaches of using stand-alone and more integrated hospital ePrescribing systems to promote and support the appropriate use of antibiotics, and identify gaps in order to inform future efforts in this area. METHODS A systematic scoping review of the empirical literature from 1997 until 2015, searching the following databases: MEDLINE, EMBASE, Cochrane Database of Systematic Reviews, Google Scholar, Clinical Trials, International Standard Randomised Controlled Trial Number Registry, Economic Evaluation database and International Prospective Register of Systematic Reviews. Search terms related to different components of systems, hospital settings and antimicrobial stewardship. Two reviewers independently screened papers and mutually agreed papers for inclusion. We undertook an interpretive synthesis. KEY FINDINGS We identified 143 papers. The majority of these were single-centre observational studies from North American settings with a wide range of system functionalities. Most evidence related to computerised decision support (CDS) and computerised physician order entry (CPOE) functionalities, of which many were extensively customised. We also found some limited work surrounding integration with laboratory results, pharmacy systems and organisational surveillance. Outcomes examined included healthcare professional performance, patient outcomes and health economic evaluations. We found at times conflicting conclusions surrounding effectiveness, which may be due to heterogeneity of populations, technologies and outcomes studied. Reports of unintended consequences were limited. CONCLUSIONS Interventions are centred on CPOE and CDS, but also include additional functionality aiming to support various facets of the medicines management process. Wider organisational dimensions appear important to supporting adoption. Evaluations should consider processes, clinical, economic and safety outcomes in order to generate generalisable insights into safety, effectiveness and cost-effectiveness.
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Affiliation(s)
- Kathrin Cresswell
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, UK
| | - Hajar Mozaffar
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, UK
| | | | - Aziz Sheikh
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, UK
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Kiatchai T, Colletti AA, Lyons VH, Grant RM, Vavilala MS, Nair BG. Development and Feasibility of a Real-Time Clinical Decision Support System for Traumatic Brain Injury Anesthesia Care. Appl Clin Inform 2017; 8:80-96. [PMID: 28119992 DOI: 10.4338/aci-2016-10-ra-0164] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 11/26/2016] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Real-time clinical decision support (CDS) integrated with anesthesia information management systems (AIMS) can generate point of care reminders to improve quality of care. OBJECTIVE To develop, implement and evaluate a real-time clinical decision support system for anesthetic management of pediatric traumatic brain injury (TBI) patients undergoing urgent neurosurgery. METHODS We iteratively developed a CDS system for pediatric TBI patients undergoing urgent neurosurgery. The system automatically detects eligible cases and evidence-based key performance indicators (KPIs). Unwanted clinical events trigger and display real-time messages on the AIMS computer screen. Main outcomes were feasibility of detecting eligible cases and KPIs, and user acceptance. RESULTS The CDS system was triggered in 22 out of 28 (79%) patients. The sensitivity of detecting continuously sampled KPIs reached 93.8%. For intermittently sampled KPIs, sensitivity and specificity reached 90.9% and 100%, respectively. 88% of providers reported that CDS helped with TBI anesthesia care. CONCLUSIONS CDS implementation is feasible and acceptable with a high rate of case capture and appropriate generation of alert and guidance messages for TBI anesthesia care.
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Affiliation(s)
| | | | | | | | | | - Bala G Nair
- Bala G. Nair, PhD, Department of Anesthesiology and Pain Medicine, University of Washington, BB-1469 Health Sciences Bldg, Mail Box: 356540, 1959 NE Pacific Street, Seattle, WA 98195, Phone: (206) 598 4993, Fax: (206) 543-2958,
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Robinson JR, Huth H, Jackson GP. Review of information technology for surgical patient care. J Surg Res 2016; 203:121-39. [PMID: 27338543 PMCID: PMC4939767 DOI: 10.1016/j.jss.2016.03.053] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2015] [Revised: 03/16/2016] [Accepted: 03/22/2016] [Indexed: 11/23/2022]
Abstract
BACKGROUND Electronic health records (EHRs), computerized provider order entry (CPOE), and patient portals have experienced increased adoption by health care systems. The objective of this study was to review evidence regarding the impact of such health information technologies (HIT) on surgical practice. MATERIALS AND METHODS A search of Medline, EMBASE, CINAHL, and the Cochrane Library was performed to identify data-driven, nonsurvey studies about the effects of HIT on surgical care. Domain experts were queried for relevant articles. Two authors independently reviewed abstracts for inclusion criteria and analyzed full text of eligible articles. RESULTS A total of 2890 citations were identified. Of them, 32 observational studies and two randomized controlled trials met eligibility criteria. EHR or CPOE improved appropriate antibiotic administration for surgical procedures in 13 comparative observational studies. Five comparative observational studies indicated that electronically generated operative notes had increased accuracy, completeness, and availability in the medical record. The Internet as an information resource about surgical procedures was generally inadequate. Surgical patients and providers demonstrated rapid adoption of patient portals, with increasing proportions of online versus inperson outpatient surgical encounters. CONCLUSIONS The overall quality of evidence about the effects of HIT in surgical practice was low. Current data suggest an improvement in appropriate perioperative antibiotic administration and accuracy of operative reports from CPOE and EHR applications. Online consumer health educational resources and patient portals are popular among patients and families, but their impact has not been studied well in surgical populations. With increasing adoption of HIT, further research is needed to optimize the efficacy of such tools in surgical care.
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Affiliation(s)
- Jamie R Robinson
- Department of Pediatric Surgery, Vanderbilt Children's Medical Center, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
| | - Hannah Huth
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Gretchen P Jackson
- Department of Pediatric Surgery, Vanderbilt Children's Medical Center, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
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Strategies to Prevent Surgical Site Infections in Acute Care Hospitals: 2014 Update. Infect Control Hosp Epidemiol 2016; 35 Suppl 2:S66-88. [DOI: 10.1017/s0899823x00193869] [Citation(s) in RCA: 192] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Previously published guidelines are available that provide comprehensive recommendations for detecting and preventing healthcare-associated infections (HAIs). The intent of this document is to highlight practical recommendations in a concise format designed to assist acute care hospitals in implementing and prioritizing their surgical site infection (SSI) prevention efforts. This document updates “Strategies to Prevent Surgical Site Infections in Acute Care Hospitals,” published in 2008. This expert guidance document is sponsored by the Society for Healthcare Epidemiology of America (SHEA) and is the product of a collaborative effort led by SHEA, the Infectious Diseases Society of America (IDSA), the American Hospital Association (AHA), the Association for Professionals in Infection Control and Epidemiology (APIC), and The Joint Commission, with major contributions from representatives of a number of organizations and societies with content expertise. The list of endorsing and supporting organizations is presented in the introduction to the 2014 updates.
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Epstein RH, Dexter F, Patel N. Influencing Anesthesia Provider Behavior Using Anesthesia Information Management System Data for Near Real-Time Alerts and Post Hoc Reports. Anesth Analg 2015; 121:678-692. [PMID: 26262500 DOI: 10.1213/ane.0000000000000677] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
In this review article, we address issues related to using data from anesthesia information management systems (AIMS) to deliver near real-time alerts via AIMS workstation popups and/or alphanumeric pagers and post hoc reports via e-mail. We focus on reports and alerts for influencing the behavior of anesthesia providers (i.e., anesthesiologists, anesthesia residents, and nurse anesthetists). Multiple studies have shown that anesthesia clinical decision support (CDS) improves adherence to protocols and increases financial performance through facilitation of billing, regulatory, and compliance documentation; however, improved clinical outcomes have not been demonstrated. We inform developers and users of feedback systems about the multitude of concerns to consider during development and implementation of CDS to increase its effectiveness and to mitigate its potentially disruptive aspects. We discuss the timing and modalities used to deliver messages, implications of outlier-only versus individualized feedback, the need to consider possible unintended consequences of such feedback, regulations, sustainability, and portability among systems. We discuss statistical issues related to the appropriate evaluation of CDS efficacy. We provide a systematic review of the published literature (indexed in PubMed) of anesthesia CDS and offer 2 case studies of CDS interventions using AIMS data from our own institution illustrating the salient points. Because of the considerable expense and complexity of maintaining near real-time CDS systems, as compared with providing individual reports via e-mail after the fact, we suggest that if the same goal can be accomplished via delayed reporting versus immediate feedback, the former approach is preferable. Nevertheless, some processes require near real-time alerts to produce the desired improvement. Post hoc e-mail reporting from enterprise-wide electronic health record systems is straightforward and can be accomplished using system-independent pathways (e.g., via built-in e-mail support provided by the relational database management system). However, for some of these enterprise-wide systems, near real-time data access, necessary for CDS that generates concurrent alerts, has been challenging to implement.
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Affiliation(s)
- Richard H Epstein
- From the Department of Anesthesiology, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania; Department of Anesthesia, University of Iowa, Iowa City, Iowa; and Department of Anesthesiology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
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Gálvez JA, Rothman BS, Doyle CA, Morgan S, Simpao AF, Rehman MA. A Narrative Review of Meaningful Use and Anesthesia Information Management Systems. Anesth Analg 2015; 121:693-706. [PMID: 26287298 DOI: 10.1213/ane.0000000000000881] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The US federal government has enacted legislation for a federal incentive program for health care providers and hospitals to implement electronic health records. The primary goal of the Meaningful Use (MU) program is to drive adoption of electronic health records nationwide and set the stage to monitor and guide efforts to improve population health and outcomes. The MU program provides incentives for the adoption and use of electronic health record technology and, in some cases, penalties for hospitals or providers not using the technology. The MU program is administrated by the Department of Health and Human Services and is divided into 3 stages that include specific reporting and compliance metrics. The rationale is that increased use of electronic health records will improve the process of delivering care at the individual level by improving the communication and allow for tracking population health and quality improvement metrics at a national level in the long run. The goal of this narrative review is to describe the MU program as it applies to anesthesiologists in the United States. This narrative review will discuss how anesthesiologists can meet the eligible provider reporting criteria of MU by applying anesthesia information management systems (AIMS) in various contexts in the United States. Subsequently, AIMS will be described in the context of MU criteria. This narrative literature review also will evaluate the evidence supporting the electronic health record technology in the operating room, including AIMS, independent of certification requirements for the electronic health record technology under MU in the United States.
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Affiliation(s)
- Jorge A Gálvez
- From the Department of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee; and Coast Anesthesia Medical Group, O'Connor Hospital, San Jose, California
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Hooper TD, Hibbert PD, Hannaford NA, Jackson N, Hindmarsh DM, Gordon DL, Coiera EC, Runciman WB. Surgical site infection-a population-based study in Australian adults measuring the compliance with and correct timing of appropriate antibiotic prophylaxis. Anaesth Intensive Care 2015; 43:461-7. [PMID: 26099757 DOI: 10.1177/0310057x1504300407] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Prophylaxis for surgical site infection (SSI) is often at variance with guidelines, despite the prevalence of SSI and its associated cost, morbidity, and mortality. The CareTrack Australia study, undertaken by a number of the authors, demonstrated that appropriate care (in line with evidence- or consensus-based guidelines) was provided at 38% of eligible SSI healthcare encounters. Here, we report the indicator-level CareTrack Australia findings for SSI prophylaxis. Indicators were extracted from Australian and international clinical guidelines and ratified by clinical experts. A sample designed to be representative of the Australian population was recruited (n=1154). Participants' medical records were reviewed and analysed for compliance with the five SSI indicators. The main outcome measure was the percentage of eligible healthcare encounters with documented compliance with indicators for appropriate SSI prophylaxis. Of the 35,145 CareTrack Australia encounters, 702 (2%) were eligible for scoring against the SSI indicators. Where antibiotics were recommended, compliance was 49% for contaminated surgery, 57% for clean-contaminated surgery and 85% for surgery involving a prosthesis: these fell to 8%, 10% and 14%, respectively (an average of 11%), when currently recommended timing of antibiotic administration was included. Where antibiotics were not indicated, 72% of patients still received them. SSI prophylaxis in our sample was poor; over two-thirds of patients were given antibiotics, whether indicated or not, mainly at the wrong time. There is a need for national agreement on clinical standards, indicators and tools to guide, document and monitor SSI prophylaxis, with both local and national measures to increase and monitor their uptake.
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Affiliation(s)
- T D Hooper
- Project Manager, Centre for Sleep Research, University of South Australia, Adelaide, South Australia
| | - P D Hibbert
- Program Manager, Australian Institute of Health Innovation, University of New South Wales, Sydney, New South Wales
| | - N A Hannaford
- Senior Analyst, Clinical Research, Centre for Sleep Research, University of South Australia, Adelaide, South Australia
| | - N Jackson
- Research Assistant, Australian Institute of Health Innovation, University of New South Wales, Sydney, New South Wales
| | - D M Hindmarsh
- Biostatistician, Australian Institute of Health Innovation, University of New South Wales, Sydney, New South Wales
| | - D L Gordon
- Professor, Microbiology and Infectious Diseases, SA Pathology, Flinders Medical Centre, Bedford Park, South Australia
| | - E C Coiera
- Professor, Chief Investigator, Australian Institute of Health Innovation, University of New South Wales, Sydney, New South Wales
| | - W B Runciman
- Chief Investigator, Centre for Sleep Research, University of South Australia, Adelaide, South Australia
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Huntington CR, Strayer M, Huynh T, Green JM. A Multidisciplinary Approach to Improving SCIP Compliance. Am Surg 2015. [DOI: 10.1177/000313481508100717] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The Surgical Care Improvement Project (SCIP) is a national program aimed at reducing perioperative complications and is a quality benchmark metric for Centers for Medicare and Medicaid Services. This study evaluates whether a multidisciplinary program improved an institution's compliance with SCIP measures. Analysis of the facility's performance data identified three key areas of SCIP noncompliance: 1) timely discontinuation of perioperative antibiotics and urinary catheters, 2) initiation of venous thromboembolism prophylaxis, and 3) perioperative beta blocker administration. Multidisciplinary teams collaborated with providers and department chairs in reviewing and enable SCIP compliance. Anesthesia staff managed preoperative antibiotics. SCIP-compliant order sets, venous thromboembolism pop-up alerts, and progress note templates were added to the electronic medical record. Standardized education was provided to explain SCIP requirements, review noncompliant cases, and update teams on SCIP performance. Data were captured from January 2009 to March 2014. Ten SCIP fallouts were reported for general surgery specialties in January 2013, when the SCIP compliance project launched. Specifically, colon-related surgery achieved 100 per cent compliance. Six months after implementation, overall SCIP compliance at our institution improved by 65 per cent (from 90.7–98.6% compliance).
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Affiliation(s)
| | - Melissa Strayer
- Department of Surgery, Carolinas Medical Center, Charlotte, North Carolina
| | - Toan Huynh
- Department of Surgery, Carolinas Medical Center, Charlotte, North Carolina
| | - John M. Green
- Department of Surgery, Carolinas Medical Center, Charlotte, North Carolina
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Leaper DJ, Tanner J, Kiernan M, Assadian O, Edmiston CE. Surgical site infection: poor compliance with guidelines and care bundles. Int Wound J 2015; 12:357-62. [PMID: 24612792 PMCID: PMC7950697 DOI: 10.1111/iwj.12243] [Citation(s) in RCA: 89] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2013] [Accepted: 01/27/2014] [Indexed: 11/28/2022] Open
Abstract
Surgical site infections (SSIs) are probably the most preventable of the health care-associated infections. Despite the widespread international introduction of level I evidence-based guidelines for the prevention of SSIs, such as that of the National Institute for Clinical Excellence (NICE) in the UK and the surgical care improvement project (SCIP) of the USA, SSI rates have not measurably fallen. The care bundle approach is an accepted method of packaging best, evidence-based measures into routine care for all patients and, common to many guidelines for the prevention of SSI, includes methods for preoperative removal of hair (where appropriate), rational antibiotic prophylaxis, avoidance of perioperative hypothermia, management of perioperative blood glucose and effective skin preparation. Reasons for poor compliance with care bundles are not clear and have not matched the wide uptake and perceived benefit of the WHO 'Safe Surgery Saves Lives' checklist. Recommendations include the need for further research and continuous updating of guidelines; comprehensive surveillance, using validated definitions that facilitate benchmarking of anonymised surgeon-specific SSI rates; assurance that incorporation of checklists and care bundles has taken place; the development of effective communication strategies for all health care providers and those who commission services and comprehensive information for patients.
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Affiliation(s)
- David J Leaper
- School of Applied Sciences, University of Huddersfield, Huddersfield, UK
| | - Judith Tanner
- Clinical Nursing Research, DeMontfort University, Leicester, UK
| | - Martin Kiernan
- Prevention and Control of Infection, Southport and Ormskirk Hospitals NHS Trust, Southport, UK
| | - Ojan Assadian
- Department of Hospital Hygiene, Medical University of Vienna, Vienna, Austria
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Wilson J, Topley K, Stott D, Neachell J, Gallagher R. The OneTogether collaborative approach to reduce the risk of surgical site infection: identifying the challenges to assuring best practice. J Infect Prev 2015; 16:118-125. [PMID: 28989414 PMCID: PMC5074110 DOI: 10.1177/1757177414564204] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Accepted: 11/23/2014] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Surgical site infections (SSI) account for 16% of healthcare associated infections, and are associated with considerable morbidity, mortality and increased costs of care. Ensuring evidence-based practice to prevent SSI is incorporated across the patient's surgical journey is complex. OneTogether is a quality improvement collaborative of infection prevention and operating department specialists, formed to support the spread and adoption of best practice to prevent SSI. This paper describes the findings of an expert workshop on infection prevention in operating departments. METHODS A total of 84 delegates from 75 hospitals attended the workshop, comprising 46 (55%) theatre nurses/operating department practitioners; 16 (19%) infection control practitioners and 22 (26%) other healthcare practitioners. Discussion focused on evidence, policy implementation and barriers to best practice. Responses were synthesised into a narrative review. RESULTS Delegates reported significant problems in translating evidence-based guidance into everyday practice, lack of local polices and poor compliance. Major barriers were lack of leadership, poorly defined responsibilities, and lack of knowledge/training. CONCLUSIONS This workshop has provided important insights into major challenges in assuring compliance with best practice in relation to the prevention of SSI. The OneTogether partnership aims to support healthcare practitioners to improve the outcomes of patients undergoing surgery by reducing the risk of SSI.
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Affiliation(s)
- Jennie Wilson
- Richard Wells Research Centre, University of West London, London, UK
| | | | - Dawn Stott
- Association of Perioperative Practitioners, Harrogate, UK
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Hendrix KS, Downs SM, Carroll AE. Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness? Acad Pediatr 2015; 15:158-64. [PMID: 25619917 PMCID: PMC4733362 DOI: 10.1016/j.acap.2014.10.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Revised: 10/15/2014] [Accepted: 10/25/2014] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Physicians typically respond to roughly half of the clinical decision support prompts they receive. This study was designed to test the hypothesis that selectively highlighting prompts in yellow would improve physicians' responsiveness. METHODS We conducted a randomized controlled trial using the Child Health Improvement Through Computer Automation clinical decision support system in 4 urban primary care pediatric clinics. Half of a set of electronic prompts of interest was highlighted in yellow when presented to physicians in 2 clinics. The other half of the prompts was highlighted when presented to physicians in the other 2 clinics. Analyses compared physician responsiveness to the 2 randomized sets of prompts: highlighted versus not highlighted. Additionally, several prompts deemed high priority were highlighted during the entire study period in all clinics. Physician response rates to the high-priority highlighted prompts were compared to response rates for those prompts from the year before the study period, when they were not highlighted. RESULTS Physicians did not respond to prompts that were highlighted at higher rates than prompts that were not highlighted (62% and 61%, respectively; odds ratio 1.056, P = .259, NS). Similarly, physicians were no more likely to respond to high-priority prompts that were highlighted compared to the year before, when the prompts were not highlighted (59% and 59%, respectively, χ(2) = 0.067, P = .796, NS). CONCLUSIONS Highlighting reminder prompts did not increase physicians' responsiveness. We provide possible explanations why highlighting did not improve responsiveness and offer alternative strategies to increasing physician responsiveness to prompts.
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Affiliation(s)
- Kristin S. Hendrix
- Children’s Health Services Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, United States,Regenstrief Institute, Inc., Indianapolis, IN
| | - Stephen M. Downs
- Children’s Health Services Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, United States,Regenstrief Institute, Inc., Indianapolis, IN
| | - Aaron E. Carroll
- Pediatric and Adolescent Comparative Effectiveness Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN,Regenstrief Institute, Inc., Indianapolis, IN
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Mauger B, Marbella A, Pines E, Chopra R, Black ER, Aronson N. Implementing quality improvement strategies to reduce healthcare-associated infections: A systematic review. Am J Infect Control 2014; 42:S274-83. [PMID: 25239722 DOI: 10.1016/j.ajic.2014.05.031] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Revised: 05/29/2014] [Accepted: 05/29/2014] [Indexed: 10/24/2022]
Abstract
BACKGROUND Comprehensive incidence estimates indicate that 1.7 million healthcare-associated infections (HAIs) and 99,000 HAI-associated deaths occur in US hospitals. Preventing HAIs could save $25.0 to $31.5 billion. Identifying effective quality improvement (QI) strategies for promoting adherence to evidence-based preventive interventions could reduce infections. METHODS We searched MEDLINE, CINAHL, and EMBASE from 2006-2012 for English-language articles with ≥ 100 patients that described an implementation strategy to increase adherence with evidence-based preventive interventions and that met study design criteria. One reviewer abstracted and appraised study quality, with verification by a second. QI strategies included audit and feedback; financial incentives, regulation, and policy; organizational change; patient education; provider education; and provider reminder systems. RESULTS We evaluated data on HAIs from 30 articles reporting adherence and infection rates that accounted for confounding or secular trends. Many of the measures improved significantly, especially adherence. Results varied by QI strategy(s). CONCLUSIONS Moderate strength of evidence supports improvement in adherence and infection rates when audit and feedback plus provider reminder systems or audit and feedback alone is added to organizational change and provider education. Strength of evidence is low when provider reminder systems alone are added to organizational change and provider education. There were no studies on HAIs in nonhospital settings that met the selection criteria.
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Thirukumaran CP, Dolan JG, Reagan Webster P, Panzer RJ, Friedman B. The impact of electronic health record implementation and use on performance of the Surgical Care Improvement Project measures. Health Serv Res 2014; 50:273-89. [PMID: 24965357 DOI: 10.1111/1475-6773.12191] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE To examine the impact of electronic health record (EHR) deployment on Surgical Care Improvement Project (SCIP) measures in a tertiary-care teaching hospital. DATA SOURCES SCIP Core Measure dataset from the CMS Hospital Inpatient Quality Reporting Program (March 2010 to February 2012). STUDY DESIGN One-group pre- and post-EHR logistic regression and difference-in-differences analyses. PRINCIPAL FINDINGS Statistically significant short-term declines in scores were observed for the composite, postoperative removal of urinary catheter and post-cardiac surgery glucose control measures. A statistically insignificant improvement in scores for these measures was noted 3 months after EHR deployment. CONCLUSION The transition to an EHR appears to be associated with a short-term decline in quality. Implementation strategies should be developed to preempt or minimize this initial decline.
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Anderson DJ, Podgorny K, Berríos-Torres SI, Bratzler DW, Dellinger EP, Greene L, Nyquist AC, Saiman L, Yokoe DS, Maragakis LL, Kaye KS. Strategies to prevent surgical site infections in acute care hospitals: 2014 update. Infect Control Hosp Epidemiol 2014; 35:605-27. [PMID: 24799638 PMCID: PMC4267723 DOI: 10.1086/676022] [Citation(s) in RCA: 587] [Impact Index Per Article: 53.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Previously published guidelines are available that provide comprehensive recommendations for detecting and preventing healthcare-associated infections (HAIs). The intent of this document is to highlight practical recommendations in a concise format designed to assist acute care hospitals in implementing and prioritizing their surgical site infection (SSI) prevention efforts. This document updates “Strategies to Prevent Surgical Site Infections in Acute Care Hospitals,”1 published in 2008. This expert guidance document is sponsored by the Society for Healthcare Epidemiology of America (SHEA) and is the product of a collaborative effort led by SHEA, the Infectious Diseases Society of America (IDSA), the American Hospital Association (AHA), the Association for Professionals in Infection Control and Epidemiology (APIC), and The Joint Commission, with major contributions from representatives of a number of organizations and societies with content expertise. The list of endorsing and supporting organizations is presented in the introduction to the 2014 updates.2
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Affiliation(s)
| | | | | | - Dale W. Bratzler
- University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | | | - Linda Greene
- Highland Hospital and University of Rochester Medical Center, Rochester, New York
| | - Ann-Christine Nyquist
- Children’s Hospital Colorado and University of Colorado School of Medicine, Aurora, Colorado
| | - Lisa Saiman
- Columbia University Medical Center, New York, New York
| | - Deborah S. Yokoe
- Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | | | - Keith S. Kaye
- Detroit Medical Center and Wayne State University, Detroit, Michigan
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Dexter F, Wachtel RE. Strategies for Net Cost Reductions with the Expanded Role and Expertise of Anesthesiologists in the Perioperative Surgical Home. Anesth Analg 2014; 118:1062-71. [DOI: 10.1213/ane.0000000000000173] [Citation(s) in RCA: 73] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Aronson S, Mathew JP, Cheung AT, Shore-Lesserson L, Troianos CA, Reeves S. The Rationale and Development of an Adult Cardiac Anesthesia Module to Supplement the Society of Thoracic Surgeons National Database. Anesth Analg 2014; 118:925-32. [DOI: 10.1213/ane.0000000000000184] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Stol IS, Ehrenfeld JM, Epstein RH. Technology diffusion of anesthesia information management systems into academic anesthesia departments in the United States. Anesth Analg 2014; 118:644-50. [PMID: 24557109 DOI: 10.1213/ane.0000000000000055] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Anesthesia information management systems (AIMS) are electronic health records that automatically import vital signs from patient monitors and allow for computer-assisted creation of the anesthesia record. When most recently surveyed in 2007, it was estimated that at least 16% of U.S. academic hospitals (i.e., with an anesthesia residency program) had installed an AIMS. At least an additional 28% reported that they were in the process of implementing, or searching for an AIMS. In this study, we updated the adoption figures as of May 2013 and examined the historical trend of AIMS deployment in U.S. anesthesia residency programs from the perspective of the theory of diffusion of technologic innovations. METHODS Questionnaires were sent by e-mail to program directors or their identified contact individuals at the 130 U.S. anesthesiology residency programs accredited as of June 30, 2012 by the Accreditation Council for Graduate Medical Education. The questionnaires asked whether the department had an AIMS, the year of installation, and, if not present, whether there were plans to install an AIMS within the next 12 months. Follow-up e-mails and phone calls were made until responses were obtained from all programs. Results were collected between February and May 2013. Implementation percentages were determined using the number of accredited anesthesia residency programs at the start of each academic year between 1987 and 2013 and were fit to a logistic regression curve using data through 2012. RESULTS Responses were received from all 130 programs. Eighty-seven (67%) reported that they currently are using an AIMS. Ten programs without a current AIMS responded that they would be installing an AIMS within 12 months of the survey. The rate of AIMS adoption by year was well fit by a logistic regression curve (P = 0.90). CONCLUSIONS By the end of 2014, approximately 75% of U.S. academic anesthesiology departments will be using an AIMS, with 84% adoption expected between 2018 and 2020. Historical adoption of AIMS has followed Roger's 1962 formulation of the theory of diffusion of innovation.
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Affiliation(s)
- Ilana S Stol
- From the *Departments of Anesthesiology, Bioinformatics, and Surgery, Vanderbilt University, Nashville, Tennessee; †Vanderbilt University, Nashville, Tennessee; and ‡Department of Anesthesiology, Jefferson Medical College, Philadelphia, Pennsylvania
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Organizational Performance and Regulatory Compliance as Measured by Clinical Pertinence Indicators Before and After Implementation of Anesthesia Information Management System (AIMS). J Med Syst 2014; 38:5. [DOI: 10.1007/s10916-013-0005-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2013] [Accepted: 12/27/2013] [Indexed: 10/25/2022]
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Vannucci A, Jeffcoat A, Ifune C, Salinas C, Duncan JR, Wall M. Retained Guidewires After Intraoperative Placement of Central Venous Catheters. Anesth Analg 2013; 117:102-8. [DOI: 10.1213/ane.0b013e3182599179] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Wanderer JP, Ehrenfeld JM. Clinical Decision Support for Perioperative Information Management Systems. Semin Cardiothorac Vasc Anesth 2013; 17:288-93. [DOI: 10.1177/1089253213490078] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Clinical decision support (CDS) systems are being used to optimize the increasingly complex care that our health care system delivers. These systems have become increasingly important in the delivery of perioperative care for patients undergoing cardiac, thoracic, and vascular procedures. The adoption of perioperative information management systems (PIMS) has allowed these technologies to enter the operating room and support the clinical work flow of anesthesiologists and operational processes. Constructing effective CDS systems necessitates an understanding of operative work flow and technical considerations as well as achieving integration with existing information systems. In this review, we describe published examples of CDS for PIMS, including support for cardiopulmonary bypass separation physiological alarms, β-blocker guideline adherence, enhanced revenue capture for arterial line placement, and detection of hemodynamic monitoring gaps. Although these and other areas are amenable to CDS systems, the challenges of latency and data reliability represent fundamental limitations on the potential application of these tools to specific types of clinical issues. Ultimately, we expect that CDS will remain an important tool in our efforts to optimize the quality of care delivered.
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Davey P, Brown E, Charani E, Fenelon L, Gould IM, Holmes A, Ramsay CR, Wiffen PJ, Wilcox M. Interventions to improve antibiotic prescribing practices for hospital inpatients. Cochrane Database Syst Rev 2013:CD003543. [PMID: 23633313 DOI: 10.1002/14651858.cd003543.pub3] [Citation(s) in RCA: 367] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND The first publication of this review in Issue 3, 2005 included studies up to November 2003. This update adds studies to December 2006 and focuses on application of a new method for meta-analysis of interrupted time series studies and application of new Cochrane Effective Practice and Organisation of Care (EPOC) Risk of Bias criteria to all studies in the review, including those studies in the previously published version. The aim of the review is to evaluate the impact of interventions from the perspective of antibiotic stewardship. The two objectives of antibiotic stewardship are first to ensure effective treatment for patients with bacterial infection and second support professionals and patients to reduce unnecessary use and minimize collateral damage. OBJECTIVES To estimate the effectiveness of professional interventions that, alone or in combination, are effective in antibiotic stewardship for hospital inpatients, to evaluate the impact of these interventions on reducing the incidence of antimicrobial-resistant pathogens or Clostridium difficile infection and their impact on clinical outcome. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE from 1980 to December 2006 and the EPOC specialized register in July 2007 and February 2009 and bibliographies of retrieved articles. The main comparison is between interventions that had a restrictive element and those that were purely persuasive. Restrictive interventions were implemented through restriction of the freedom of prescribers to select some antibiotics. Persuasive interventions used one or more of the following methods for changing professional behaviour: dissemination of educational resources, reminders, audit and feedback, or educational outreach. Restrictive interventions could contain persuasive elements. SELECTION CRITERIA We included randomized clinical trials (RCTs), controlled clinical trials (CCT), controlled before-after (CBA) and interrupted time series studies (ITS). Interventions included any professional or structural interventions as defined by EPOC. The intervention had to include a component that aimed to improve antibiotic prescribing to hospital inpatients, either by increasing effective treatment or by reducing unnecessary treatment. The results had to include interpretable data about the effect of the intervention on antibiotic prescribing or microbial outcomes or relevant clinical outcomes. DATA COLLECTION AND ANALYSIS Two authors extracted data and assessed quality. We performed meta-regression of ITS studies to compare the results of persuasive and restrictive interventions. Persuasive interventions advised physicians about how to prescribe or gave them feedback about how they prescribed. Restrictive interventions put a limit on how they prescribed; for example, physicians had to have approval from an infection specialist in order to prescribe an antibiotic. We standardized the results of some ITS studies so that they are on the same scale (percent change in outcome), thereby facilitating comparisons of different interventions. To do this, we used the change in level and change in slope to estimate the effect size with increasing time after the intervention (one month, six months, one year, etc) as the percent change in level at each time point. We did not extrapolate beyond the end of data collection after the intervention. The meta-regression was performed using standard weighted linear regression with the standard errors of the coefficients adjusted where necessary. MAIN RESULTS For this update we included 89 studies that reported 95 interventions. Of the 89 studies, 56 were ITSs (of which 4 were controlled ITSs), 25 were RCT (of which 5 were cluster-RCTs), 5 were CBAs and 3 were CCTs (of which 1 was a cluster-CCT).Most (80/95, 84%) of the interventions targeted the antibiotic prescribed (choice of antibiotic, timing of first dose and route of administration). The remaining 15 interventions aimed to change exposure of patients to antibiotics by targeting the decision to treat or the duration of treatment. Reliable data about impact on antibiotic prescribing data were available for 76 interventions (44 persuasive, 24 restrictive and 8 structural). For the persuasive interventions, the median change in antibiotic prescribing was 42.3% for the ITSs, 31.6% for the controlled ITSs, 17.7% for the CBAs, 3.5% for the cluster-RCTs and 24.7% for the RCTs. The restrictive interventions had a median effect size of 34.7% for the ITSs, 17.1% for the CBAs and 40.5% for the RCTs. The structural interventions had a median effect of 13.3% for the RCTs and 23.6% for the cluster-RCTs. Data about impact on microbial outcomes were available for 21 interventions but only 6 of these also had reliable data about impact on antibiotic prescribing.Meta-analysis of 52 ITS studies was used to compare restrictive versus purely persuasive interventions. Restrictive interventions had significantly greater impact on prescribing outcomes at one month (32%, 95% confidence interval (CI) 2% to 61%, P = 0.03) and on microbial outcomes at 6 months (53%, 95% CI 31% to 75%, P = 0.001) but there were no significant differences at 12 or 24 months. Interventions intended to decrease excessive prescribing were associated with reduction in Clostridium difficile infections and colonization or infection with aminoglycoside- or cephalosporin-resistant gram-negative bacteria, methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus faecalis. Meta-analysis of clinical outcomes showed that four interventions intended to increase effective prescribing for pneumonia were associated with significant reduction in mortality (risk ratio 0.89, 95% CI 0.82 to 0.97), whereas nine interventions intended to decrease excessive prescribing were not associated with significant increase in mortality (risk ratio 0.92, 95% CI 0.81 to 1.06). AUTHORS' CONCLUSIONS The results show that interventions to reduce excessive antibiotic prescribing to hospital inpatients can reduce antimicrobial resistance or hospital-acquired infections, and interventions to increase effective prescribing can improve clinical outcome. This update provides more evidence about unintended clinical consequences of interventions and about the effect of interventions to reduce exposure of patients to antibiotics. The meta-analysis supports the use of restrictive interventions when the need is urgent, but suggests that persuasive and restrictive interventions are equally effective after six months.
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Affiliation(s)
- Peter Davey
- Population Health Sciences Division, Medical Research Institute, University of Dundee, Dundee, UK.
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de Oliveira Filho GR, Dexter F. Interpretation of the Association Between Frequency of Self-Reported Medical Errors and Faculty Supervision of Anesthesiology Residents. Anesth Analg 2013; 116:752-3. [DOI: 10.1213/ane.0b013e3182831346] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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