Team Communication and Expectations Following Pediatric Cardiac Surgery: A Multi-Disciplinary Survey
暂无分享,去创建一个
Amy N. McCammond | Andrew Y. Shin | David K Bailly | Claudia A Algaze | J. Bushnell | Andrew M. Koth | L. Presnell | C. Connelly | Monica Mafla
[1] David Bailly,et al. Bedside Benchmarks: Transparent Data to Reduce Variation in Postoperative Care , 2021 .
[2] M. Nathan,et al. Updating an Empirically Based Tool for Analyzing Congenital Heart Surgery Mortality , 2021, World journal for pediatric & congenital heart surgery.
[3] P. Sharek,et al. Target Based Care: An Intervention to Reduce Variation in Postoperative Length of Stay. , 2020, The Journal of pediatrics.
[4] Paul A. Harris,et al. The REDCap consortium: Building an international community of software platform partners , 2019, J. Biomed. Informatics.
[5] C. Pagel,et al. Exploring communication between parents and clinical teams following children’s heart surgery: a survey in the UK , 2019, BMJ Paediatrics Open.
[6] K. Rove,et al. Enhanced recovery after surgery in children: Promising, evidence‐based multidisciplinary care , 2018, Paediatric anaesthesia.
[7] Philippe N. Tobler,et al. Cognitive biases associated with medical decisions: a systematic review , 2016, BMC Medical Informatics and Decision Making.
[8] M. D. Del Beccaro,et al. Standardized Clinical Pathways for Hospitalized Children and Outcomes , 2016, Pediatrics.
[9] P. Caruso,et al. ICU physicians are unable to accurately predict length of stay at admission: a prospective study. , 2016, International journal for quality in health care : journal of the International Society for Quality in Health Care.
[10] Greg Ogrinc,et al. Squire 2.0 (Standards for Quality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. , 2015, American journal of critical care : an official publication, American Association of Critical-Care Nurses.
[11] F. Davidoff,et al. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process , 2015, BMJ Quality & Safety.
[12] J S Blumenthal-Barby,et al. Cognitive Biases and Heuristics in Medical Decision Making , 2015, Medical decision making : an international journal of the Society for Medical Decision Making.
[13] F. Davidoff,et al. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): Revised Publication Guidelines from a Detailed Consensus Process. , 2015, The Permanente journal.
[14] J. Wray,et al. Parent Stress Levels During Children’s Hospital Recovery After Congenital Heart Surgery , 2010, Pediatric Cardiology.
[15] P. Harris,et al. Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support , 2009, J. Biomed. Informatics.
[16] Carol E. Nicholson,et al. Impact of Pediatric Critical Illness and Injury on Families: A Systematic Literature Review , 2006, Pediatrics.
[17] Gunther Eysenbach,et al. Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES) , 2004, Journal of medical Internet research.
[18] J. Vincent,et al. Can the experienced ICU physician predict ICU length of stay and outcome better than less experienced colleagues? , 2004, Intensive Care Medicine.
[19] K. Uzark,et al. Recommendations for Preparing Children and Adolescents for Invasive Cardiac Procedures: A Statement From the American Heart Association Pediatric Nursing Subcommittee of the Council on Cardiovascular Nursing in Collaboration With the Council on Cardiovascular Diseases of the Young , 2003, Circulation.