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Molloy MJ, Muthu N, Orenstein EW, Shelov E, Luo BT. Clinical Decision Support Principles for Quality Improvement and Research. Hosp Pediatr 2024; 14:e219-e224. [PMID: 38545665 PMCID: PMC10965756 DOI: 10.1542/hpeds.2023-007540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Pediatric hospitalists frequently interact with clinical decision support (CDS) tools in patient care and use these tools for quality improvement or research. In this method/ology paper, we provide an introduction and practical approach to developing and evaluating CDS tools within the electronic health record. First, we define CDS and describe the types of CDS interventions that exist. We then outline a stepwise approach to CDS development, which begins with defining the problem and understanding the system. We present a framework for metric development and then describe tools that can be used for CDS design (eg, 5 Rights of CDS, "10 commandments," usability heuristics, human-centered design) and testing (eg, validation, simulation, usability testing). We review approaches to evaluating CDS tools, which range from randomized studies to traditional quality improvement methods. Lastly, we discuss practical considerations for implementing CDS, including the assessment of a project team's skills and an organization's information technology resources.
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Affiliation(s)
- Matthew J. Molloy
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Divisions of Hospital Medicine
- Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Naveen Muthu
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia
- Division of Hospital Medicine, Children’s Healthcare of Atlanta, Atlanta, Georgia
| | - Evan W. Orenstein
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia
- Division of Hospital Medicine, Children’s Healthcare of Atlanta, Atlanta, Georgia
| | - Eric Shelov
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Section of Pediatric Hospital Medicine
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Brooke T. Luo
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Section of Pediatric Hospital Medicine
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
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Calleja JL, Delgado Sánchez O, Fuentes Pradera MÁ, Llop E, López Zárraga F, Lozano ML, Parra R, Turnes J. Recommendations for the future management of thrombocytopenia in patients with liver cirrhosis: A modified RAND/UCLA appropriateness method. Gastroenterol Hepatol 2024; 47:32-50. [PMID: 37028757 DOI: 10.1016/j.gastrohep.2023.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 03/14/2023] [Accepted: 03/26/2023] [Indexed: 04/08/2023]
Abstract
OBJECTIVE The lack of consensus and specific guidelines, and the introduction of new treatments in thrombocytopenia management in liver cirrhosis patients, required a series of recommendations by experts to improve knowledge on this disease. This study's aim was to improve the knowledge around thrombocytopenia in liver cirrhosis patients, in order to contribute to the generation of future evidence to improve the management of this disease. PATIENTS AND METHODS A modified version of the RAND/UCLA appropriateness method was used. The scientific committee, a multidisciplinary team of 7 experts in managing thrombocytopenia in liver cirrhosis patients, identified the expert panel, and participated in elaborating the questionnaire. Thirty experts from different Spanish institutions were invited to answer a 48-item questionnaire covering 6 areas on a nine-point Likert scale. Two rounds were voted. The consensus was obtained if >77.7% of panelists reached agreement or disagreement. RESULTS A total of 48 statements were developed by the scientific committee and then voted by the experts, resulting in 28 defined as appropriate and completely necessary, relating to evidence generation (10), care circuit, (8), hemorrhagic risk assessment, decision-making and diagnostic tests (14), professionals' role and multidisciplinary coordination (9) and patient education (7). CONCLUSIONS This is the first consensus in Spain on the management of thrombocytopenia in liver cirrhosis patients. Experts indicated several recommendations to be carried out in different areas that could help physicians make better decisions in their clinical practice.
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Affiliation(s)
- José Luis Calleja
- Department of Gastroenterology and Hepatology, Puerta de Hierro University Hospital, IDIPHISA, CIBERehd, Madrid, Spain.
| | | | | | - Elba Llop
- Department of Gastroenterology and Hepatology, Puerta de Hierro University Hospital, IDIPHISA, CIBERehd, Madrid, Spain
| | - Fernando López Zárraga
- Vascular and Interventional Radiology Unit, Álava University Hospital, Vitoria-Gasteiz, Spain
| | - María Luisa Lozano
- Department of Hematology, Morales Meseguer General University Hospital, Murcia, Spain; Biomedical Research Institute of Murcia (IMIB-Pascual Parrilla), CIBERER, Murcia, Spain
| | - Rafael Parra
- Blood and Tissue Bank, Vall d'Hebrón Hospital, Barcelona, Spain
| | - Juan Turnes
- Department of Gastroenterology and Hepatology, Pontevedra University Hospital Complex, IIS Galicia Sur, Pontevedra, Spain; Health Research Institute (IIS) Galicia Sur, Pontevedra, Spain
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Xiao R, Bonafide CP, Williams NJ, Cidav Z, Landrigan CP, Faerber J, Makeneni S, Wolk CB, Schondelmeyer AC, Brady PW, Beidas RS, Schisterman EF. Eliminating Monitor Overuse (EMO) type III effectiveness-deimplementation cluster-randomized trial: Statistical analysis plan. Contemp Clin Trials Commun 2023; 36:101219. [PMID: 37842322 PMCID: PMC10568304 DOI: 10.1016/j.conctc.2023.101219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 09/19/2023] [Accepted: 10/01/2023] [Indexed: 10/17/2023] Open
Abstract
Background Deimplementing overused health interventions is essential to maximizing quality and value while minimizing harm, waste, and inefficiencies. Three national guidelines discourage continuous pulse oximetry (SpO2) monitoring in children who are not receiving supplemental oxygen, but the guideline-discordant practice remains prevalent, making it a prime target for deimplementation. This paper details the statistical analysis plan for the Eliminating Monitor Overuse (EMO) SpO2 trial, which compares the effect of two competing deimplementation strategies (unlearning only vs. unlearning plus substitution) on the sustainment of deimplementation of SpO2 monitoring in children with bronchiolitis who are in room air. Methods The EMO Trial is a hybrid type 3 effectiveness-deimplementation trial with a longitudinal cluster-randomized design, conducted in Pediatric Research in Inpatient Settings Network hospitals. The primary outcome is deimplementation sustainment, analyzed as a longitudinal difference-in-differences comparison between study arms. This analysis will use generalized hierarchical mixed-effects models for longitudinal clustering outcomes. Secondary outcomes include the length of hospital stay and oxygen supplementation duration, modeled using linear mixed-effects regressions. Using the well-established counterfactual approach, we will also perform a mediation analysis of hospital-level mechanistic measures on the association between the deimplementation strategy and the sustainment outcome. Discussion We anticipate that the EMO Trial will advance the science of deimplementation by providing new insights into the processes, mechanisms, and likelihood of sustained practice change using rigorously designed deimplementation strategies. This pre-specified statistical analysis plan will mitigate reporting bias and support data-driven approaches. Trial registration ClinicalTrials.gov NCT05132322. Registered on 24 November 2021.
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Affiliation(s)
- Rui Xiao
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104-6021, USA
| | - Christopher P. Bonafide
- Section of Hospital Medicine and Clinical Futures, Children's Hospital of Philadelphia, 3500 Civic Center Blvd, The Hub, Philadelphia, PA, 19104, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA, USA
| | - Nathaniel J. Williams
- School of Social Work, Boise State University, 1910 W. University Drive, Boise, ID, 83725, USA
| | - Zuleyha Cidav
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market St, Philadelphia, Pennsylvania, 19104, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher P. Landrigan
- Division of General Pediatrics, Boston Children's Hospital, Enders 1, 300 Longwood Ave, Boston, MA, 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Jennifer Faerber
- Data Science and Biostatistics Unit, Roberts Center for Pediatric Research, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA
| | - Spandana Makeneni
- Data Science and Biostatistics Unit, Roberts Center for Pediatric Research, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA
| | - Courtney Benjamin Wolk
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3553 Market Street, 3rd Floor, Philadelphia, PA, 19104, USA
| | - Amanda C. Schondelmeyer
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Hospital Medicine, James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave ML 9016, Cincinnati, OH, 45229, USA
| | - Patrick W. Brady
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Hospital Medicine, James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave ML 9016, Cincinnati, OH, 45229, USA
| | - Rinad S. Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, 625 North Michigan Avenue, Chicago, IL, 60661, USA
| | - Enrique F. Schisterman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104-6021, USA
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Herrera H, Wood D. Battling Alarm Fatigue in the Pediatric Intensive Care Unit. Crit Care Nurs Clin North Am 2023; 35:347-355. [PMID: 37532388 DOI: 10.1016/j.cnc.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Pediatric intensive care unit nurses can be exposed to hundreds of alarms per patient they care for each shift. The exposure to so many alarms can cause nurses to be desensitized to future alarms and thus increase the time to respond to alarms. This is one of the largest patient safety concerns within health care today. Steps should be taken to mitigate the number of alarms nurses experience so that they can properly respond to actionable alarms.
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Affiliation(s)
- Heather Herrera
- Christus Children's, 333 North, Santa Rosa Street, San Antonio, TX 78207, USA
| | - Danielle Wood
- Duke University Hospital, 104 Lanier Valley Drive, Durham, NC 27703, USA.
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Faerber JA, Xiao R, Makeneni S, Schisterman EF, Brady PW, Schondelmeyer AC, Landrigan CP, Lucey K, Lee V, Gregory PF, Prasto J, Parthasarathy P, Greenfield M, Solomon C, Brent CR, Albanowski K, Beidas RS, Bonafide CP. Sustainment of continuous pulse oximetry deimplementation: Analysis of Eliminating Monitor Overuse study data from six hospitals. J Hosp Med 2023; 18:724-729. [PMID: 37380625 PMCID: PMC10527429 DOI: 10.1002/jhm.13154] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 06/01/2023] [Accepted: 06/07/2023] [Indexed: 06/30/2023]
Abstract
Using continuous pulse oximetry (cSpO2 ) to monitor children with bronchiolitis who are not receiving supplemental oxygen is a form of medical overuse. In this longitudinal analysis from the Eliminating Monitor Overuse (EMO) study, we aimed to assess changes in cSpO2 overuse before, during, and after intensive cSpO2 -deimplementation efforts in six hospitals. Monitoring data were collected during three phases: "P1" baseline, "P2" active deimplementation (all sites engaged in education and audit and feedback strategies), and "P3" sustainment (a new baseline measured after strategies were withdrawn). Two thousand and fifty-three observations were analyzed. We found that each hospital experienced reductions during active deimplementation (P2), with overall adjusted cSpO2 overuse decreasing from 53%, 95% confidence interval (CI): (49-57) to 22%, 95% CI: (19-25) between P1 and P2. However, following the withdrawal of deimplementation strategies, overuse rebounded in all six sites, with overall adjusted cSpO2 overuse increasing to 37%, 95% CI: (33-41) in P3.
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Affiliation(s)
- Jennifer A Faerber
- Data Science and Biostatistics Unit, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Rui Xiao
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Spandana Makeneni
- Data Science and Biostatistics Unit, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Enrique F Schisterman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Patrick W Brady
- Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Amanda C Schondelmeyer
- Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Christopher P Landrigan
- Division of General Pediatrics, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Departments of Pediatrics and Medicine, and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Kate Lucey
- Division of Hospital Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Vivian Lee
- Division of Hospital Medicine, Children's Hospital Los Angeles, Los Angeles, California, USA
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Polina F Gregory
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
- Division of Hospital Medicine, Seattle Children's Hospital, Seattle, Washington, USA
| | - Julianne Prasto
- Division of Pediatrics, Children's Hospital of Philadelphia Pediatric Care at Penn Medicine Princeton Medical Center, Plainsboro, New Jersey, USA
| | - Padmavathy Parthasarathy
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Morgan Greenfield
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Courtney Solomon
- Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas, USA
- Division of Pediatric Hospital Medicine, Children's Health Dallas, Dallas, Texas, USA
| | - Canita R Brent
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Kimberly Albanowski
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Rinad S Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Evanston, Illinois, USA
| | - Christopher P Bonafide
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Clinical Futures, a Center of Emphasis within the CHOP Research Institute, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Kern-Goldberger AR, Nicholls EM, Plastino N, Srinivas SK. The impact of an intervention to improve intrapartum maternal vital sign monitoring and reduce alarm fatigue. Am J Obstet Gynecol MFM 2023; 5:100893. [PMID: 36781120 PMCID: PMC10121943 DOI: 10.1016/j.ajogmf.2023.100893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND The infrastructure of many labor and delivery units in the United States may dispose clinicians to overuse continuous and automated maternal physiological monitors. Overmonitoring low-risk patients can negatively affect patient care, primarily through generating alarm fatigue. OBJECTIVE Given the national attention to reducing alarm fatigue across healthcare settings and the concern for vital sign monitoring overuse on our labor and delivery unit, this quality improvement study aimed to evaluate vital sign monitoring patterns and alarm rates, and nursing experiences of alarm fatigue, before and after implementing a vital sign monitoring guideline for low-risk obstetrical patients. STUDY DESIGN This was a quality improvement study conducted on the labor and delivery unit of an urban, academic, tertiary hospital. The lack of guidance for maternal vital sign assessment in low-risk patients was identified as a potential safety challenge. A vital sign guideline was developed with multidisciplinary input, followed by a pre-post-implementation study evaluating vital sign volume and alarm rates. Total vital signs and alarm rates for all patients delivered during designated calendar days were assessed as a rate of vital signs per patient and compared across baseline, peri-intervention, and follow-up periods. Data were examined in p-type statistical process control charts and with time-series analysis. Patient characteristics and severe maternal morbidity, as a balancing metric, were compared across periods. Nursing perceptions of vital sign monitoring and experience of alarm fatigue were assessed via survey before and after implementation of the guideline. RESULTS A total of 35 individual 24-hour periods were evaluated with regard to vital sign and alarm volume. There was a decrease in vital signs per patient from a mean of 208.34 to 135.46 (incidence rate ratio, 0.65) and in alarms per patient from a mean of 14.31 to 10.51 (incidence rate ratio, 0.73) after implementation, with no difference in severe maternal morbidity. There were 85 total respondents to the nursing surveys, and comparison of modified task-load index scores before and after implementation demonstrated overall lower scores in the postperiod, although these were not statistically significant. CONCLUSION Introducing a maternal vital sign guideline for low-risk patients on the labor and delivery unit decreased vital signs measured as well as alarms, which may ultimately reduce alarm fatigue. This strategy should be considered on labor and delivery units widely to improve patient safety and optimize outcomes.
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Affiliation(s)
- Adina R Kern-Goldberger
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA (Drs Kern-Goldberger and Srinivas).
| | - Erika M Nicholls
- Hospital of the University of Pennsylvania, Philadelphia, PA (Mses Nicholls and Plastino)
| | - Natalie Plastino
- Hospital of the University of Pennsylvania, Philadelphia, PA (Mses Nicholls and Plastino)
| | - Sindhu K Srinivas
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA (Drs Kern-Goldberger and Srinivas)
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Schondelmeyer AC, Harris CD, Bonafide CP. The Path to Large-Scale High-Flow Nasal Cannula Deimplementation in Bronchiolitis. Hosp Pediatr 2023; 13:e99-e101. [PMID: 36938615 PMCID: PMC10071425 DOI: 10.1542/hpeds.2023-007147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
Affiliation(s)
- Amanda C. Schondelmeyer
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Hospital Medicine
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Clea D. Harris
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut
| | - Christopher P. Bonafide
- Section of Hospital Medicine
- Clinical Futures: a CHOP Research Institute Center of Emphasis, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, Pennsylvania
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Quach S, Veitch A, Zaccagnini M, West A, Nonoyama ML. Underrepresentation of Respiratory Therapists as Experts in Delphi Studies on Respiratory Practices and Research Priorities. Respir Care 2022; 67:1609-1632. [PMID: 36442987 PMCID: PMC9994035 DOI: 10.4187/respcare.10012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Delphi survey techniques are a common consensus method used to collect feedback from an expert panel to inform practices, establish guidelines, and identify research priorities. Collecting respiratory therapists' (RT) expertise and experiences as part of consensus-building methodologies is one way to ensure that they align with RT practices and to better influence respiratory care practice. This narrative review aimed to report the RT representation in expert panels of Delphi studies focused on respiratory therapy practices and research priorities. The research question that guided this review is: to what extent are RTs included as expert participants among published Delphi studies relate to respiratory therapy and research topics? We conducted a structured search of the literature and identified 23 papers that reported Delphi studies related to respiratory care practices and 15 that reported on respiratory-related research priorities. Delphi studies that focused on reporting consensus on respiratory care practices included the following: (1) mechanical ventilation, (2) high-flow nasal cannula therapy, (3) COVID-19 respiratory management, (4) home oxygen therapy, (5) cardiopulmonary monitoring, and (6) disease-specific guidelines. Delphi studies that focused on establishing respiratory research priorities included the following: (1) theory and practice-orientated knowledge gaps, and (2) priority research topics for empirical investigation. The results of this review suggest that RTs were rarely included as expert participants and, when involved, were minimally represented (5% to 33%). Given RTs' diverse and relevant experience in respiratory care, incorporating their perspectives to inform future education, respiratory care practices, and research priorities would allow evidence to better align with knowledge gaps deemed important for the respiratory therapy profession.
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Affiliation(s)
- Shirley Quach
- School of Rehabilitation Sciences, McMaster University, Hamilton, Ontario, Canada
- Faculty of Health Sciences, Ontario Tech University, Oshawa, Ontario, Canada
- Respiratory Therapy Department, Hospital of Sick Children, Toronto, Ontario, Canada
| | - Alanna Veitch
- Faculty of Health Sciences, Ontario Tech University, Oshawa, Ontario, Canada
| | - Marco Zaccagnini
- School of Physical and Occupational Therapy, McGill University, Montréal, Quebec, Canada
- Department Respiratory Therapy, McGill University Health Centre, Montréal, Quebec, Canada
| | - Andrew West
- Canadian Society of Respiratory Therapists, Saint John, New Brunswick, Canada
| | - Mika L Nonoyama
- Faculty of Health Sciences, Ontario Tech University, Oshawa, Ontario, Canada.
- Respiratory Therapy Department, Hospital of Sick Children, Toronto, Ontario, Canada
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Moretti ME, Jegathisawaran J, Wahi G, Bayliss A, Kanani R, Pound CM, Sakran M, Parkin PC, Mahant S. Cost-effectiveness of Intermittent vs Continuous Pulse Oximetry Monitoring in Infants Hospitalized With Stabilized Bronchiolitis. JAMA Netw Open 2022; 5:e2243609. [PMID: 36416823 PMCID: PMC9685487 DOI: 10.1001/jamanetworkopen.2022.43609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
IMPORTANCE Pulse oximetry is a noninvasive technology that is integral to the supportive care of hospitalized infants with bronchiolitis. A multicenter, randomized trial comparing the effectiveness of intermittent vs continuous pulse oximetry found similar length of hospital stay and safety outcomes, and greater nursing satisfaction, with intermittent monitoring. OBJECTIVES To evaluate the cost-effectiveness of intermittent vs continuous pulse oximetry in hospitalized infants with stabilized bronchiolitis. DESIGN, SETTING, AND PARTICIPANTS An economic evaluation concurrent with a randomized trial in community and tertiary children's hospitals in Ontario, Canada, was conducted using a probabilistic analysis. Patients were enrolled from November 1, 2016, to May 31, 2019. Data included infants aged 4 weeks to 24 months hospitalized with bronchiolitis, with or without supplemental oxygen, after stabilization. The cost-effectiveness analysis adopted a societal and health care system perspective and a time horizon from hospitalization to 15 days post-discharge. Patient level direct health care costs and indirect costs were included. Health resource use, costs, and clinical outcomes were obtained from trial data. Publicly available pricing resources were used to supplement costs. Ranges for sensitivity analysis were based on 95% confidence intervals of the trial data. All costs were reported in 2021 Canadian dollars. INTERVENTIONS Intermittent (every 4 hours) vs continuous pulse oximetry using an oxygen saturation target of 90% or higher. MAIN OUTCOMES AND MEASURES Costs and incremental costs. RESULTS Trial data from 229 infants (median [IQR] age, 4.0 [2.2-8.5] months; 136 boys [59.4%], 93 girls [40.6%]) were included. Mean societal costs per patient were $6879 (95% CI, $3393 to $12 317) in the intermittent and $7428 (95% CI, $1743 to $25 011) in the continuous group with a mean incremental cost of -$548 (95% CI, -$18 486 to $8105). Mean health care system costs per patient were $4195 (95% CI, $1191 to $9461) in the intermittent and $4716 (95% CI, $335 to $22 093) in the continuous group (incremental cost, -$520; 95% CI, -$18 286 to $7358). The mean effect measure of length of stay was similar between the 2 groups: 37.4 hours (95% CI, 1.0 to 137.7 hours) in the intermittent group and 38.5 hours (95% CI, 0 to 237.1 hours) in the continuous group. One-way sensitivity analyses on all variables revealed that the findings were robust and the incremental costs were not sensitive to the uncertainty within the defined ranges. CONCLUSIONS AND RELEVANCE In this prospective economic evaluation study, we found that costs were similar for intermittent and continuous pulse oximetry considering societal and health care perspectives. Given that clinical outcomes between monitoring strategies are comparable and that other practice considerations favor intermittent monitoring, these findings provide additional information that support the use of intermittent monitoring in hospitalized infants with stabilized bronchiolitis.
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Affiliation(s)
- Myla E. Moretti
- Clinical Trials Unit, Ontario Child Health Support Unit, The Hospital for Sick Children, Toronto, Ontario, Canada
- Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada
- Child Health Evaluative Sciences, The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
| | - Jathishinie Jegathisawaran
- Child Health Evaluative Sciences, The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
| | - Gita Wahi
- Division of General Pediatrics, Department of Pediatrics, McMaster University and McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Ann Bayliss
- Children’s Health Division, Trillium Health Partners, Mississauga, Ontario, Canada
- Department of Pediatrics, University of Toronto, Ontario, Canada
| | - Ronik Kanani
- Department of Pediatrics, University of Toronto, Ontario, Canada
- Department of Pediatrics, North York General Hospital, Toronto, Ontario, Canada
| | - Catherine M. Pound
- Department of Pediatrics, Children’s Hospital of Eastern Ontario, University of Ottawa, Ottawa, Ontario, Canada
| | - Mahmoud Sakran
- Department of Pediatrics, Lakeridge Health, Oshawa, and Queens University, Kingston
| | - Patricia C. Parkin
- Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada
- Child Health Evaluative Sciences, The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto, Ontario, Canada
| | - Sanjay Mahant
- Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada
- Child Health Evaluative Sciences, The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto, Ontario, Canada
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Bonafide CP, Xiao R, Schondelmeyer AC, Pettit AR, Brady PW, Landrigan CP, Wolk CB, Cidav Z, Ruppel H, Muthu N, Williams NJ, Schisterman E, Brent CR, Albanowski K, Beidas RS. Sustainable deimplementation of continuous pulse oximetry monitoring in children hospitalized with bronchiolitis: study protocol for the Eliminating Monitor Overuse (EMO) type III effectiveness-deimplementation cluster-randomized trial. Implement Sci 2022; 17:72. [PMID: 36271399 PMCID: PMC9587657 DOI: 10.1186/s13012-022-01246-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 10/10/2022] [Indexed: 11/10/2022] Open
Abstract
Background Methods of sustaining the deimplementation of overused medical practices (i.e., practices not supported by evidence) are understudied. In pediatric hospital medicine, continuous pulse oximetry monitoring of children with the common viral respiratory illness bronchiolitis is recommended only under specific circumstances. Three national guidelines discourage its use for children who are not receiving supplemental oxygen, but guideline-discordant practice (i.e., overuse) remains prevalent. A 6-hospital pilot of educational outreach with audit and feedback resulted in immediate reductions in overuse; however, the best strategies to optimize sustainment of deimplementation success are unknown. Methods The Eliminating Monitor Overuse (EMO) trial will compare two deimplementation strategies in a hybrid type III effectiveness-deimplementation trial. This longitudinal cluster-randomized design will be conducted in Pediatric Research in Inpatient Settings (PRIS) Network hospitals and will include baseline measurement, active deimplementation, and sustainment phases. After a baseline measurement period, 16–19 hospitals will be randomized to a deimplementation strategy that targets unlearning (educational outreach with audit and feedback), and the other 16–19 will be randomized to a strategy that targets unlearning and substitution (adding an EHR-integrated clinical pathway decision support tool). The primary outcome is the sustainment of deimplementation in bronchiolitis patients who are not receiving any supplemental oxygen, analyzed as a longitudinal difference-in-differences comparison of overuse rates across study arms. Secondary outcomes include equity of deimplementation and the fidelity to, and cost of, each deimplementation strategy. To understand how the deimplementation strategies work, we will test hypothesized mechanisms of routinization (clinicians developing new routines supporting practice change) and institutionalization (embedding of practice change into existing organizational systems). Discussion The EMO trial will advance the science of deimplementation by providing new insights into the processes, mechanisms, costs, and likelihood of sustained practice change using rigorously designed deimplementation strategies. The trial will also advance care for a high-incidence, costly pediatric lung disease. Trial registration ClinicalTrials.gov,NCT05132322. Registered on November 10, 2021. Supplementary Information The online version contains supplementary material available at 10.1186/s13012-022-01246-z.
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Affiliation(s)
- Christopher P Bonafide
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Children's Hospital of Philadelphia Hub for Clinical Collaboration, 3500 Civic Center Blvd, Philadelphia, PA, 19104, USA. .,Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA. .,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA. .,Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, USA.
| | - Rui Xiao
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 206 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104-6021, USA
| | - Amanda C Schondelmeyer
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, 45229, USA.,Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.,James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave ML 9016, Cincinnati, OH, 45229, USA
| | | | - Patrick W Brady
- Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.,James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave ML 9016, Cincinnati, OH, 45229, USA.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, USA
| | - Christopher P Landrigan
- Division of General Pediatrics, Boston Children's Hospital, Enders 1, 300 Longwood Ave, Boston, MA, 02115, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Courtney Benjamin Wolk
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Philadelphia, PA, 19104, USA.,Department of Medical Ethics and Health Policy, Perelman School of Medicine, Philadelphia, USA
| | - Zuleyha Cidav
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Philadelphia, PA, 19104, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Halley Ruppel
- Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.,Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, USA
| | - Naveen Muthu
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA
| | - Nathaniel J Williams
- School of Social Work, Boise State University, 1910 W. University Drive, Boise, ID, 83725, USA.,Institute for the Study of Behavioral Health and Addiction, Boise State University, Boise, USA
| | - Enrique Schisterman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 206 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104-6021, USA
| | - Canita R Brent
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Children's Hospital of Philadelphia Hub for Clinical Collaboration, 3500 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Kimberly Albanowski
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Children's Hospital of Philadelphia Hub for Clinical Collaboration, 3500 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Rinad S Beidas
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Philadelphia, PA, 19104, USA.,Department of Medical Ethics and Health Policy, Perelman School of Medicine, Philadelphia, USA.,Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3600 Civic Center Boulevard, 8th Floor, Philadelphia, PA, 19104, USA.,Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia, USA.,Center for Health Incentives and Behavioral Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.,Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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11
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Gourishankar A, Evangelista M, Ellsworth M, Hsu J. Utility and Impact Analysis of Inpatient Pediatric Physiologic Monitoring. J Pediatr Intensive Care 2022. [DOI: 10.1055/s-0042-1749679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Abstract
AbstractThis study aimed to study the practice and effect of monitoring hospitalized pediatric patients in terms the length of stay (LOS). We have performed a prospective, observational study of pediatric patients in the general ward from October to December 2016. We have recorded the use of cardiac monitor, pulse oximeter, or both, and as per physician order at patient admission. We have studied the proportions of monitoring in different patient groups. We have applied a linear regression model to investigate the relationship between LOS and cardiopulmonary monitoring, orders, and medical complexity. Among 399 patients, patients with cardiac and pulse oximeter monitoring with orders were 68 and 82%, respectively. The pulmonary group had more monitoring than the neurology group of patients. LOS was shorter in patients without monitoring; the median difference for the cardiac monitoring was one day (interquartile range [IQR] = 1), and the pulse oximeter was 0.5 days (IQR = 1). Cardiac monitoring order increased LOS by 22% (95% confidence interval [CI]: 0.5, 48%) and complex past medical history increased it by 25% (95% CI: 4, 51%). Our study highlights the variable practice in using monitors, emphasizing a standardized approach. The judicious use of monitoring may reduce prolonged hospitalization. Selective use of physiologic monitoring of ill-appearing or at risk of hypoxemia or cardiac dysrhythmia will reduce overuse.
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Affiliation(s)
- Anand Gourishankar
- Division of Pediatric Hospital Medicine, Department of Pediatrics, Children's National Hospital, Washington, DC, United States
| | - Monaliza Evangelista
- Division of Pediatric Hospital Medicine, Department of Pediatrics, University of Texas Health, McGovern Medical School at Houston, Texas, United States
| | - Misti Ellsworth
- Division of Pediatric Infectious Disease, Department of Pediatrics, University of Texas Health, McGovern Medical School at Houston, Texas, United States
| | - Jean Hsu
- Division of Pediatric Hospital Medicine, Department of Pediatrics, Children's National Hospital, Washington, DC, United States
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12
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Rasooly IR, Makeneni S, Khan AN, Luo B, Muthu N, Bonafide CP. The Alarm Burden of Excess Continuous Pulse Oximetry Monitoring Among Patients With Bronchiolitis. J Hosp Med 2021; 16:727-729. [PMID: 34798003 PMCID: PMC8626057 DOI: 10.12788/jhm.3731] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 10/28/2021] [Indexed: 11/20/2022]
Abstract
Guidelines discourage continuous pulse oximetry monitoring of hospitalized infants with bronchiolitis who are not receiving supplemental oxygen. Excess monitoring is theorized to contribute to increased alarm burden, but this burden has not been quantified. We evaluated admissions of 201 children (aged 0-24 months) with bronchiolitis. We categorized time ≥60 minutes following discontinuation of supplemental oxygen as "continuously monitored (guideline-discordant)," "intermittently measured (guideline-concordant)," or "unable to classify." Across 4402 classifiable hours, 77% (11,101) of alarms occurred during periods of guideline-discordant monitoring. Patients experienced a median of 35 alarms (interquartile range [IQR], 10-81) during guideline-discordant, continuously monitored time, representing a rate of 6.7 alarms per hour (IQR, 2.1-12.3). In comparison, the median hourly alarm rate during periods of guideline-concordant intermittent measurement was 0.5 alarms per hour (IQR, 0.1-0.8). Reducing guideline-discordant monitoring in bronchiolitis patients would reduce nurse alarm burden.
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Affiliation(s)
- Irit R Rasooly
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Center for Pediatric Clinical Effectiveness, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Corresponding Author: Irit R Rasooly, MD, MSCE; ; Telephone: 215-590-1000; Twitter: @IritMD
| | - Spandana Makeneni
- Data Science and Biostatistics Unit, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Amina N Khan
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Brooke Luo
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Naveen Muthu
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Center for Pediatric Clinical Effectiveness, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Christopher P Bonafide
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Center for Pediatric Clinical Effectiveness, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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13
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Schondelmeyer AC, Jenkins AM, Vaughn LM, Brady PW. Family Perspectives on Continuous Monitor Use in a Children's Hospital: A Qualitative Study. Hosp Pediatr 2021; 11:hpeds.2021-005949. [PMID: 34808668 DOI: 10.1542/hpeds.2021-005949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVES Alarms from continuous cardiorespiratory and pulse oximetry monitors may contribute to parental anxiety and poor sleep during hospitalization, yet families also may find monitoring reassuring. Our objective was to understand how families perceive the utility, benefits, and harms of continuous monitoring. METHODS In this single-center qualitative study, we used semistructured interviews and direct observation. We enrolled families of patients of a variety of ages and clinical diagnoses. We extracted patient demographic information (age, diagnosis) from the health record. Semistructured interviews were recorded and transcribed. Detailed field notes were taken during observations. We used an inductive thematic approach to develop and refine codes that informed the development of themes. RESULTS We recruited 24 families and conducted 23 interviews and 9 observation sessions. Respiratory conditions (eg, bronchiolitis, asthma) were the most common reason for hospitalization. The hospitalized children covered a range of ages: <4 weeks (16%), 4 weeks to 6 months (20%), 7 months to 5 years (44%), and >5 years (20%); 55% had previously been hospitalized. Families expressed varying degrees of understanding the utility of monitors and often conducted their own assessments before notifying staff about alarms. Families expected monitoring, including negative effects like sleep disruption, as part of hospitalization. Families perceived the benefit of monitoring in context of previous hospital experiences, often seeing less benefit and worrying less about alarms in subsequent hospitalizations. CONCLUSIONS Family members continue to find reassurance from cardiorespiratory monitoring despite evidence that it offers limited benefit outside of the ICU setting. Parental perspectives should be addressed in future deimplementation efforts.
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Affiliation(s)
- Amanda C Schondelmeyer
- Departments of Pediatrics
- Divisions of Hospital Medicine
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Ashley M Jenkins
- Departments of Pediatrics
- Internal Medicine, College of Medicine, University of Cincinnati, Cincinnati, Ohio
| | | | - Patrick W Brady
- Departments of Pediatrics
- Divisions of Hospital Medicine
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
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14
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Tchou MJ, Schondelmeyer AC, Alvarez F, Holmes AV, Lee V, Lossius MN, O'Callaghan J, Rajbhandari P, Soung PJ, Quinonez R. Choosing Wisely in Pediatric Hospital Medicine: 5 New Recommendations to Improve Value. Hosp Pediatr 2021; 11:1179-1190. [PMID: 34667087 DOI: 10.1542/hpeds.2021-006037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVES The health care system faces ongoing challenges due to low-value care. Building on the first pediatric hospital medicine contribution to the American Board of Internal Medicine Foundation Choosing Wisely Campaign, a working group was convened to identify additional priorities for improving health care value for hospitalized children. METHODS A study team composed of nominees from national pediatric medical professional societies was convened, including pediatric hospitalists with expertise in clinical care, hospital leadership, and research. The study team surveyed national pediatric hospitalist LISTSERVs for suggestions, condensed similar responses, and performed a literature search of articles published in the previous 10 years. Using a modified Delphi process, the team completed a series of structured ratings of feasibility and validity and facilitated group discussion. The sum of final mean validity and feasibility scores was used to identify the 5 highest priority recommendations. RESULTS Two hundred seven respondents suggested 397 preliminary recommendations, yielding 74 unique recommendations that underwent evidence review and rating. The 5 highest-scoring recommendations had a focus on the following aspects of hospital care: (1) length of intravenous antibiotic therapy before transition to oral antibiotics, (2) length of stay for febrile infants evaluated for serious bacterial infection, (3) phototherapy for neonatal hyperbilirubinemia, (4) antibiotic therapy for community-acquired pneumonia, and (5) initiation of intravenous antibiotics in infants with maternal risk factors for sepsis. CONCLUSIONS We propose that pediatric hospitalists can use this list to prioritize quality improvement and scholarly work focused on improving the value and quality of patient care for hospitalized children.
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Affiliation(s)
- Michael J Tchou
- Section of Hospital Medicine, Department of Pediatrics, School of Medicine, University of Colorado and Children's Hospital Colorado, Aurora, Colorado
| | - Amanda C Schondelmeyer
- Division of Hospital Medicine.,James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio
| | - Francisco Alvarez
- Division of Hospital Medicine, Department of Pediatrics, School of Medicine, Stanford University, Stanford, California
| | - Alison V Holmes
- Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.,Children's Hospital at Dartmouth-Hitchcock, Lebanon, New Hampshire
| | - Vivian Lee
- Division of Hospital Medicine, Children's Hospital Los Angeles and Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Michele N Lossius
- Pediatric Hospital Medicine, Department of Pediatrics, University of Florida Shands Children's Hospital, Gainesville, Florida
| | - James O'Callaghan
- Division of Hospital Medicine, Department of Pediatrics, School of Medicine, University of Washington, Seattle, Washington
| | - Prabi Rajbhandari
- Division of Hospital Medicine, Department of Pediatrics, Akron Children's Hospital, Akron, Ohio
| | - Paula J Soung
- Section of Hospital Medicine, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Ricardo Quinonez
- Section of Pediatric Hospital Medicine, Texas Children's Hospital and Department of Pediatrics, Baylor College of Medicine, Houston, Texas
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15
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Kern-Goldberger AS, Rasooly IR, Luo B, Craig S, Ferro DF, Ruppel H, Parthasarathy P, Sergay N, Solomon CM, Lucey KE, Muthu N, Bonafide CP. EHR-Integrated Monitor Data to Measure Pulse Oximetry Use in Bronchiolitis. Hosp Pediatr 2021; 11:1073-1082. [PMID: 34583959 DOI: 10.1542/hpeds.2021-005894] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND AND OBJECTIVES Continuous pulse oximetry (oxygen saturation [Spo2]) monitoring in hospitalized children with bronchiolitis not requiring supplemental oxygen is discouraged by national guidelines, but determining monitoring status accurately requires in-person observation. Our objective was to determine if electronic health record (EHR) data can accurately estimate the extent of actual Spo2 monitoring use in bronchiolitis. METHODS This repeated cross-sectional study included infants aged 8 weeks through 23 months hospitalized with bronchiolitis. In the validation phase at 3 children's hospitals, we calculated the test characteristics of the Spo2 monitor data streamed into the EHR each minute when monitoring was active compared with in-person observation of Spo2 monitoring use. In the application phase at 1 children's hospital, we identified periods when supplemental oxygen was administered using EHR flowsheet documentation and calculated the duration of Spo2 monitoring that occurred in the absence of supplemental oxygen. RESULTS Among 668 infants at 3 hospitals (validation phase), EHR-integrated Spo2 data from the same minute as in-person observation had a sensitivity of 90%, specificity of 98%, positive predictive value of 88%, and negative predictive value of 98% for actual Spo2 monitoring use. Using EHR-integrated data in a sample of 317 infants at 1 hospital (application phase), infants were monitored in the absence of oxygen supplementation for a median 4.1 hours (interquartile range 1.4-9.4 hours). Those who received supplemental oxygen experienced a median 5.6 hours (interquartile range 3.0-10.6 hours) of monitoring after oxygen was stopped. CONCLUSIONS EHR-integrated monitor data are a valid measure of actual Spo2 monitoring use that may help hospitals more efficiently identify opportunities to deimplement guideline-inconsistent use.
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Affiliation(s)
| | - Irit R Rasooly
- Section of Pediatric Hospital Medicine.,Department of Biomedical and Health Informatics.,Center for Pediatric Clinical Effectiveness.,Department of Pediatrics, Perelman School of Medicine
| | - Brooke Luo
- Section of Pediatric Hospital Medicine.,Department of Biomedical and Health Informatics.,Department of Pediatrics, Perelman School of Medicine
| | - Sansanee Craig
- Section of Pediatric Hospital Medicine.,Department of Biomedical and Health Informatics.,Department of Pediatrics, Perelman School of Medicine
| | - Daria F Ferro
- Section of Pediatric Hospital Medicine.,Department of Biomedical and Health Informatics.,Department of Pediatrics, Perelman School of Medicine
| | - Halley Ruppel
- Center for Pediatric Clinical Effectiveness.,School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Nathaniel Sergay
- Section of Pediatric Hospital Medicine.,Pediatric Residency Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Courtney M Solomon
- Division of Pediatric Hospital Medicine, Children's Medical Center Dallas, Dallas, Texas.,Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, Texas
| | - Kate E Lucey
- Division of Hospital-Based Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.,Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Naveen Muthu
- Section of Pediatric Hospital Medicine.,Department of Biomedical and Health Informatics.,Center for Pediatric Clinical Effectiveness.,Department of Pediatrics, Perelman School of Medicine
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16
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Schondelmeyer AC, Bettencourt AP, Xiao R, Beidas RS, Wolk CB, Landrigan CP, Brady PW, Brent CR, Parthasarathy P, Kern-Goldberger AS, Sergay N, Lee V, Russell CJ, Prasto J, Zaman S, McQuistion K, Lucey K, Solomon C, Garcia M, Bonafide CP. Evaluation of an Educational Outreach and Audit and Feedback Program to Reduce Continuous Pulse Oximetry Use in Hospitalized Infants With Stable Bronchiolitis: A Nonrandomized Clinical Trial. JAMA Netw Open 2021; 4:e2122826. [PMID: 34473258 PMCID: PMC8414187 DOI: 10.1001/jamanetworkopen.2021.22826] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
IMPORTANCE National guidelines recommend against continuous pulse oximetry use for hospitalized children with bronchiolitis who are not receiving supplemental oxygen, yet guideline-discordant use remains high. OBJECTIVES To evaluate deimplementation outcomes of educational outreach and audit and feedback strategies aiming to reduce guideline-discordant continuous pulse oximetry use in children hospitalized with bronchiolitis who are not receiving supplemental oxygen. DESIGN, SETTING, AND PARTICIPANTS A nonrandomized clinical single-group deimplementation trial was conducted in 14 non-intensive care units in 5 freestanding children's hospitals and 1 community hospital from December 1, 2019, through March 14, 2020, among 847 nurses and physicians caring for hospitalized children with bronchiolitis who were not receiving supplemental oxygen. INTERVENTIONS Educational outreach focused on communicating details of the existing guidelines and evidence. Audit and feedback strategies included 2 formats: (1) weekly aggregate data feedback to multidisciplinary teams with review of unit-level and hospital-level use of continuous pulse oximetry, and (2) real-time 1:1 feedback to clinicians when guideline-discordant continuous pulse oximetry use was discovered during in-person data audits. MAIN OUTCOMES AND MEASURES Clinician ratings of acceptability, appropriateness, feasibility, and perceived safety were assessed using a questionnaire. Guideline-discordant continuous pulse oximetry use in hospitalized children was measured using direct observation of a convenience sample of patients with bronchiolitis who were not receiving supplemental oxygen. RESULTS A total of 847 of 1193 eligible clinicians (695 women [82.1%]) responded to a Likert scale-based questionnaire (71% response rate). Most respondents rated the deimplementation strategies of education and audit and feedback as acceptable (education, 435 of 474 [92%]; audit and feedback, 615 of 664 [93%]), appropriate (education, 457 of 474 [96%]; audit and feedback, 622 of 664 [94%]), feasible (education, 424 of 474 [89%]; audit and feedback, 557 of 664 [84%]), and safe (803 of 847 [95%]). Sites collected 1051 audit observations (range, 47-403 per site) on 709 unique patient admissions (range, 31-251 per site) during a 3.5-month period of continuous pulse oximetry use in children with bronchiolitis not receiving supplemental oxygen, which were compared with 579 observations (range, 57-154 per site) from the same hospitals during the baseline 4-month period (prior season) to determine whether the strategies were associated with a reduction in use. Sites conducted 148 in-person educational outreach and aggregate data feedback sessions and provided real-time 1:1 feedback 171 of 236 times (72% of the time when guideline-discordant monitoring was identified). Adjusted for age, gestational age, time since weaning from supplemental oxygen, and other characteristics, guideline-discordant continuous pulse oximetry use decreased from 53% (95% CI, 49%-57%) to 23% (95% CI, 20%-25%) (P < .001) during the intervention period. There were no adverse events attributable to reduced monitoring. CONCLUSIONS AND RELEVANCE In this nonrandomized clinical trial, educational outreach and audit and feedback deimplementation strategies for guideline-discordant continuous pulse oximetry use among hospitalized children with bronchiolitis who were not receiving supplemental oxygen were positively associated with clinician perceptions of feasibility, acceptability, appropriateness, and safety. Evaluating the sustainability of deimplementation beyond the intervention period is an essential next step. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04178941.
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Affiliation(s)
- Amanda C. Schondelmeyer
- Department of Systems, Populations, and Leadership, University of Michigan School of Nursing, Ann Arbor
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Amanda P. Bettencourt
- Department of Systems, Populations, and Leadership, University of Michigan School of Nursing, Ann Arbor
| | - Rui Xiao
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Rinad S. Beidas
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Department of Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia
| | - Courtney Benjamin Wolk
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia
| | - Christopher P. Landrigan
- Division of General Pediatrics, Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
- Division of Sleep and Circadian Disorders, Departments of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Division of Sleep and Circadian Disorders, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Patrick W. Brady
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Canita R. Brent
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Center for Pediatric Clinical Effectiveness, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Padmavathy Parthasarathy
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Andrew S. Kern-Goldberger
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Nathaniel Sergay
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Pediatric Residency Program, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Vivian Lee
- Division of Hospital Medicine, Children’s Hospital Los Angeles, Los Angeles, California
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles
| | - Christopher J. Russell
- Division of Hospital Medicine, Children’s Hospital Los Angeles, Los Angeles, California
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles
| | - Julianne Prasto
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Division of Pediatrics, Children’s Hospital of Philadelphia Pediatric Care and Penn Medicine Princeton Medical Center, Philadelphia, Pennsylvania
| | - Sarah Zaman
- Department of Pediatrics, University of Washington School of Medicine, Seattle
- Center for Child Health, Behavior, and Development, Seattle Children’s Research Institute, Seattle, Washington
| | - Kaitlyn McQuistion
- University of Washington Pediatric Residency Program, Department of Pediatrics, University of Washington, Seattle
| | - Kate Lucey
- Division of Hospital Medicine, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Courtney Solomon
- Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas
- Division of Pediatric Hospital Medicine, Children’s Health Dallas, Texas
| | - Mayra Garcia
- Division of General and Thoracic Surgery, Children’s Health Dallas, Dallas, Texas
| | - Christopher P. Bonafide
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Center for Pediatric Clinical Effectiveness, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
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17
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Affiliation(s)
- Alan R Schroeder
- Division of Hospital Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
| | - Julia A Marlow
- Division of Hospital Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
| | - Chris P Bonafide
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
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