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Herzberg S, Hansen M, Schoonover A, Skarica B, McNulty J, Harrod T, Snowden JM, Lambert W, Guise JM. Association between measured teamwork and medical errors: an observational study of prehospital care in the USA. BMJ Open 2019; 9:e025314. [PMID: 31676639 PMCID: PMC6830602 DOI: 10.1136/bmjopen-2018-025314] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 09/22/2019] [Accepted: 10/04/2019] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES The goal of this study was to examine the relationship between measured teamwork and adverse safety events in the prehospital emergency care of children using high-fidelity simulation. We posit that non-technical skills such as leadership, teamwork, situation awareness and decision-making are associated with the clinical success of teams. DESIGN Observational study. SETTING Emergency medical services (EMS) responders were recruited from public fire and private transport agencies in Oregon State to participate in four simulations of paediatric emergencies using high-fidelity patient simulators, scene design, and professional actors playing parents and bystanders. PARTICIPANTS Forty-four fire/transport teams consisting of 259 EMS professionals consented to participate and completed simulations. PRIMARY AND SECONDARY OUTCOME MEASURES Teams were assessed using the Clinical Teamwork Scale (CTS), a validated instrument that measures overall teamwork and 15 specific elements in five overarching domains: communication, decision-making, role responsibility (leadership and followership), situational awareness/resource management and patient-friendliness. We used generalised estimating equations to estimate the odds of error with increasing overall CTS teamwork score while adjusting for clinical scenario and potential clustering by team. RESULTS Across 176 simulations, the mean overall score on the CTS was 6.04 (SD 2.10; range 1=poor to 10=perfect) and was normally distributed. The distribution of scores was similar across the four clinical scenarios. At least one error was observed in 82% of the simulations. In simulations with at least one observed error, the mean CTS score was 5.76 (SD 2.04) compared with 7.16 (SD 1.95) in scenarios with no observed error. Logistic regression analysis accounting for clustering at the team level revealed that the odds of an error decreased 28% with each unit increase in CTS (OR 0.72, 95% CI 0.59 to 0.88). CONCLUSIONS This study found that overall teamwork among care delivery teams was strongly associated with the risk of serious adverse events in simulated scenarios of caring for critically ill and injured children.
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Affiliation(s)
- Simone Herzberg
- Medical Scientist Training Program, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Matt Hansen
- Emergency Medicine, Oregon Health and Science University, Portland, Oregon, USA
| | - Amanda Schoonover
- Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon, USA
| | - Barbara Skarica
- Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon, USA
| | - James McNulty
- Office of Simulation, Oregon Health and Science University, Portland, Oregon, USA
| | - Tabria Harrod
- Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon, USA
| | - Jonathan M Snowden
- Department of Obstetrics and Gynecology/Public Health and Preventive Medicine, Oregon Health and Science University, Portland, Oregon, USA
| | - William Lambert
- Public Health and Preventative Medicine, Oregon Health and Science University, Portland, Oregon, USA
| | - Jeanne-Marie Guise
- Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon, USA
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Nilvér H, Begley C, Berg M. Measuring women's childbirth experiences: a systematic review for identification and analysis of validated instruments. BMC Pregnancy Childbirth 2017; 17:203. [PMID: 28662645 PMCID: PMC5492707 DOI: 10.1186/s12884-017-1356-y] [Citation(s) in RCA: 109] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 05/26/2017] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Women's childbirth experience can have immediate as well as long-term positive or negative effects on their life, well-being and health. When evaluating and drawing conclusions from research results, women's experiences of childbirth should be one aspect to consider. Researchers and clinicians need help in finding and selecting the most suitable instrument for their purpose. The aim of this study was therefore to systematically identify and present validated instruments measuring women's childbirth experience. METHODS A systematic review was conducted in January 2016 with a comprehensive search in the bibliographic databases PubMed, CINAHL, Scopus, The Cochrane Library and PsycINFO. Included instruments measured women's childbirth experiences. Papers were assessed independently by two reviewers for inclusion, and quality assessment of included instruments was made by two reviewers independently and in pairs using Terwee et al's criteria for evaluation of psychometric properties. RESULTS In total 5189 citations were screened, of which 5106 were excluded by title and abstract. Eighty-three full-text papers were reviewed, and 37 papers were excluded, resulting in 46 included papers representing 36 instruments. These instruments demonstrated a wide range in purpose and content as well as in the quality of psychometric properties. CONCLUSIONS This systematic review provides an overview of existing instruments measuring women's childbirth experiences and can support researchers to identify appropriate instruments to be used, and maybe adapted, in their specific contexts and research purpose.
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Affiliation(s)
- Helena Nilvér
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Cecily Begley
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- School of Nursing and Midwifery, Trinity College Dublin, Dublin, Ireland
| | - Marie Berg
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Centre for Person-Centred Care (GPCC), University of Gothenburg, Gothenburg, Sweden
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Zhan Z, de Bock GH, van den Heuvel ER. Statistical methods for unidirectional switch designs: Past, present, and future. Stat Methods Med Res 2017; 27:2872-2882. [PMID: 28125927 DOI: 10.1177/0962280216689280] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Clinical trials may apply or use a sequential introduction of a new treatment to determine its efficacy or effectiveness with respect to a control treatment. The reasons for choosing a particular switch design have different origins. For instance, they may be implemented for ethical or logistic reasons or for studying disease-modifying effects. Large-scale pragmatic trials with complex interventions often use stepped wedge designs (SWDs), where all participants start at the control group, and during the trial, the control treatment is switched to the new intervention at different moments. They typically use cross-sectional data and cluster randomization. On the other hand, new drugs for inhibition of cognitive decline in Alzheimer's or Parkinson's disease typically use delayed start designs (DSDs). Here, participants start in a parallel group design and at a certain moment in the trial, (part of) the control group switches to the new treatment. The studies are longitudinal in nature, and individuals are being randomized. Statistical methods for these unidirectional switch designs (USD) are quite complex and incomparable, and they have been developed by various authors under different terminologies, model specifications, and assumptions. This imposes unnecessary barriers for researchers to compare results or choose the most appropriate method for their own needs. This paper provides an overview of past and current statistical developments for the USDs (SWD and DSD). All designs are formulated in a unified framework of treatment patterns to make comparisons between switch designs easier. The focus is primarily on statistical models, methods of estimation, sample size calculation, and optimal designs for estimation of the treatment effect. Other relevant open issues are being discussed as well to provide suggestions for future research in USDs.
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Affiliation(s)
- Zhuozhao Zhan
- 1 Department of Epidemiology, University Medical Center Groningen, the Netherlands
| | - Geertruida H de Bock
- 1 Department of Epidemiology, University Medical Center Groningen, the Netherlands
| | - Edwin R van den Heuvel
- 2 Department of Mathematics and Computer Science, Technology University Eindhoven, the Netherlands
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Mancuso MP, Dziadkowiec O, Kleiner C, Halverson-Carpenter K, Link T, Barry J. Crew Resource Management for Obstetric and Neonatal Teams to Improve Communication During Cesarean Births. J Obstet Gynecol Neonatal Nurs 2016; 45:502-14. [PMID: 27290920 DOI: 10.1016/j.jogn.2016.04.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/01/2016] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE To assess the effectiveness of crew resource management training and interventions on the quality and quantity of communication during cesarean births in a tertiary academic hospital's labor and birthing services. DESIGN A prospective pre-post crew resource management training intervention. SETTING Tertiary academic hospital in the Western United States. PARTICIPANTS All members of obstetric and neonatal teams that participated in cesarean births. METHODS Over a 5-month time period, all obstetric and neonatal staff were required to participate in team training in crew resource management critical language, communication, and team structure. Trained observers collected baseline data (n = 52) for 3 months on the quantity and quality of communications that occurred during cesarean births. Postintervention data (n = 50) were gathered for 3 months after team training. Analysis approach included use of Fisher's exact test, independent-samples t test, and multilevel generalized linear regression models with Poisson distribution. RESULTS There was a statistically significant increase in quantity and quality of communication from pre- to postintervention assessment for obstetric and neonatal staff. Although the increase in quality was similarly great between both types of teams, increase in quantity was more substantial in obstetric staff. CONCLUSION Principles of team communication training shown to be effective in increasing communication among team members in a variety of clinical areas were also effective in improving communication in the labor and birth setting during cesarean births.
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Barker D, McElduff P, D'Este C, Campbell MJ. Stepped wedge cluster randomised trials: a review of the statistical methodology used and available. BMC Med Res Methodol 2016; 16:69. [PMID: 27267471 PMCID: PMC4895892 DOI: 10.1186/s12874-016-0176-5] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 05/28/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Previous reviews have focussed on the rationale for employing the stepped wedge design (SWD), the areas of research to which the design has been applied and the general characteristics of the design. However these did not focus on the statistical methods nor addressed the appropriateness of sample size methods used.This was a review of the literature of the statistical methodology used in stepped wedge cluster randomised trials. METHODS Literature Review. The Medline, Embase, PsycINFO, CINAHL and Cochrane databases were searched for methodological guides and RCTs which employed the stepped wedge design. RESULTS This review identified 102 trials which employed the stepped wedge design compared to 37 from the most recent review by Beard et al. 2015. Forty six trials were cohort designs and 45 % (n = 46) had fewer than 10 clusters. Of the 42 articles discussing the design methodology 10 covered analysis and seven covered sample size. For cohort stepped wedge designs there was only one paper considering analysis and one considering sample size methods. Most trials employed either a GEE or mixed model approach to analysis (n = 77) but only 22 trials (22 %) estimated sample size in a way which accounted for the stepped wedge design that was subsequently used. CONCLUSIONS Many studies which employ the stepped wedge design have few clusters but use methods of analysis which may require more clusters for unbiased and efficient intervention effect estimates. There is the need for research on the minimum number of clusters required for both types of stepped wedge design. Researchers should distinguish in the sample size calculation between cohort and cross sectional stepped wedge designs. Further research is needed on the effect of adjusting for the potential confounding of time on the study power.
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Affiliation(s)
- D Barker
- School of Medicine and Public Health, Faculty of Health, CCEB, HMRI Building, Level 4 West, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - P McElduff
- School of Medicine and Public Health, Faculty of Health, CCEB, HMRI Building, Level 4 West, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia
| | - C D'Este
- School of Medicine and Public Health, Faculty of Health, CCEB, HMRI Building, Level 4 West, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.,National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra, ACT, 0200, Australia
| | - M J Campbell
- Medical Statistics Group, ScHARR, University of Sheffield, Sheffield, UK
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Higgins M, Kfouri J, Biringer A, Seaward G, Windrim R. Teaching an Experienced Multidisciplinary Team About Postpartum Hemorrhage: Comparison of Two Different Methods. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2015; 37:824-828. [PMID: 26605454 DOI: 10.1016/s1701-2163(15)30155-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Morbidity from postpartum hemorrhage (PPH) affects 20% of pregnancies worldwide and remains a significant cause of maternal mortality. This study compared the impressions of experienced clinicians on the effect of two methods of educational interventions in a MoreOB training program designed to improve recognition and management of PPH. METHODS Participants were exposed to a traditional didactic lecture and an interactive clinical intervention exercise incorporating video simulation of a PPH event with opportunities for feedback and discussion of how to proceed. They were then invited to respond to a questionnaire regarding their impressions of both methods. RESULTS Of 150 participants, 110 completed the questionnaire. Respondents considered the interactive format to be more effective (55%) and enjoyable (72%) than the traditional didactic format. The majority (81%), however, still recommended a mixture of both interactive and didactic formats in future events, supported by a multidisciplinary drill. CONCLUSION Clinical learners value interactivity and mutual reinforcement among varied learning exercises in their educational experiences. Future educational programs may consider incorporating similar methods in order to maximize participants' receptiveness.
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Affiliation(s)
- Mary Higgins
- Division of Maternal Fetal Medicine, Mount Sinai Hospital, Toronto ON; Department of Obstetrics and Gynaecology, School of Medicine and Medical Science, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - Julia Kfouri
- Division of Maternal Fetal Medicine, Mount Sinai Hospital, Toronto ON; Department of Obstetrics and Gynaecology, University of Toronto, Toronto ON
| | - Anne Biringer
- Department of Family and Community Medicine, University of Toronto, Mount Sinai Hospital, Toronto ON
| | - Gareth Seaward
- Division of Maternal Fetal Medicine, Mount Sinai Hospital, Toronto ON; Department of Obstetrics and Gynaecology, University of Toronto, Toronto ON
| | - Rory Windrim
- Division of Maternal Fetal Medicine, Mount Sinai Hospital, Toronto ON; Department of Obstetrics and Gynaecology, University of Toronto, Toronto ON
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