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Clark NA, Kyler KE, Allen GL, Ausmus A, Berg K, Beyer J, Centanni R, Claeys C, Hall M, Miles A, Nyberg G, Malloy-Walton L. Variations in Alarm Burden, Source, and Cause Across Inpatient Units at a Children's Hospital. Hosp Pediatr 2024; 14:642-648. [PMID: 39011551 PMCID: PMC11287059 DOI: 10.1542/hpeds.2023-007604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 03/26/2024] [Accepted: 04/06/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND AND OBJECTIVES Alarms at hospitals are frequent and can lead to alarm fatigue posing patient safety risks. We aimed to describe alarm burden over a 1-year period and explored variations in alarm rates stratified by unit type, alarm source, and cause. METHODS A retrospective study of inpatient alarm and patient census data at 1 children's hospital from January 1, 2019, to December 31, 2019, including 8 inpatient units: 6 medical/surgical unit (MSU), 1 PICU, and 1 NICU. Rates of alarms per patient day (appd) were calculated overall and by unit type, alarm source, and cause. Poisson regression was used for comparisons. RESULTS There were 7 934 997 alarms over 84 077 patient days (94.4 appd). Significant differences in alarm rates existed across inpatient unit types (MSU 81.3 appd, PICU 90.7, NICU 117.5). Pulse oximetry (POx) probes were the alarm source with highest rate, followed by cardiorespiratory leads (54.4 appd versus 31). PICU had lowest rate of POx alarms (33.3 appd, MSU 37.6, NICU 92.6), whereas NICU had lowest rate of cardiorespiratory lead alarms (16.2 appd, MSU 40.1, PICU 31.4). Alarms stratified by cause displayed variation across unit types where "low oxygen saturation" had the highest overall rate, followed by "technical" alarms (43.4 appp versus 16.3). ICUs had higher rates of low oxygenation saturation alarms, but lower rates of technical alarms than MSUs. CONCLUSIONS Clinical alarms are frequent and vary across unit types, sources, and causes. Unit-level alarm rates and frequent alarm sources (eg, POx) should be considered when implementing alarm reduction strategies.
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Affiliation(s)
- Nicholas A. Clark
- Children’s Mercy Kansas City, Kansas City, Missouri
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Kathryn E. Kyler
- Children’s Mercy Kansas City, Kansas City, Missouri
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Geoffrey L. Allen
- Children’s Mercy Kansas City, Kansas City, Missouri
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Andrew Ausmus
- Children’s Mercy Kansas City, Kansas City, Missouri
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Kathleen Berg
- Children’s Mercy Kansas City, Kansas City, Missouri
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Jeremy Beyer
- Clackamas & Oregon Pediatrics, Southgate, Oregon
| | - Ryan Centanni
- Kansas City University College of Osteopathic Medicine, Kansas City, Missouri
| | | | - Matthew Hall
- Children’s Mercy Kansas City, Kansas City, Missouri
- Children’s Hospital Association, Lenexa, Kansas
| | - Andrea Miles
- Children’s Mercy Kansas City, Kansas City, Missouri
| | - Ginny Nyberg
- Children’s Mercy Kansas City, Kansas City, Missouri
| | - Lindsey Malloy-Walton
- Children’s Mercy Kansas City, Kansas City, Missouri
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
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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: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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.
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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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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] [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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