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Kumar M, Wilkinson K, Li YH, Masih R, Gandhi M, Saadat H, Culmone J. Association of a Novel Electronic Form for Preoperative Cardiac Risk Assessment With Reduction in Cardiac Consultations and Testing: Retrospective Cohort Study. JMIR Perioper Med 2024; 7:e63076. [PMID: 39269754 DOI: 10.2196/63076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Revised: 08/02/2024] [Accepted: 08/06/2024] [Indexed: 09/15/2024] Open
Abstract
BACKGROUND Preoperative cardiac risk assessment is an integral part of preoperative evaluation; however, there is significant variation among providers, leading to inappropriate referrals for cardiology consultation or excessive low-value cardiac testing. We implemented a novel electronic medical record (EMR) form in our preoperative clinics to decrease variation. OBJECTIVE This study aimed to investigate the impact of the EMR form on the preoperative utilization of cardiology consultation and cardiac diagnostic testing (echocardiograms, stress tests, and cardiac catheterization) and evaluate postoperative outcomes. METHODS A retrospective cohort study was conducted. Patients who underwent outpatient preoperative evaluation prior to an elective surgery over 2 years were divided into 2 cohorts: from July 1, 2021, to June 30, 2022 (pre-EMR form implementation), and from July 1, 2022, to June 30, 2023 (post-EMR form implementation). Demographics, comorbidities, resource utilization, and surgical characteristics were analyzed. Propensity score matching was used to adjust for differences between the 2 cohorts. The primary outcomes were the utilization of preoperative cardiology consultation, cardiac testing, and 30-day postoperative major adverse cardiac events (MACE). RESULTS A total of 25,484 patients met the inclusion criteria. Propensity score matching yielded 11,645 well-matched pairs. The post-EMR form, matched cohort had lower cardiology consultation (pre-EMR form: n=2698, 23.2% vs post-EMR form: n=2088, 17.9%; P<.001) and echocardiogram (pre-EMR form: n=808, 6.9% vs post-EMR form: n=591, 5.1%; P<.001) utilization. There were no significant differences in the 30-day postoperative outcomes, including MACE (all P>.05). While patients with "possible indications" for cardiology consultation had higher MACE rates, the consultations did not reduce MACE risk. Most algorithm end points, except for active cardiac conditions, had MACE rates <1%. CONCLUSIONS In this cohort study, preoperative cardiac risk assessment using a novel EMR form was associated with a significant decrease in cardiology consultation and testing utilization, with no adverse impact on postoperative outcomes. Adopting this approach may assist perioperative medicine clinicians and anesthesiologists in efficiently decreasing unnecessary preoperative resource utilization without compromising patient safety or quality of care.
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Affiliation(s)
- Mandeep Kumar
- Pre-Admission Testing Center, Perioperative Medicine, Hartford HealthCare, Hartford, CT, United States
- University of Connecticut, Storrs, CT, United States
- Hartford HealthCare Medical Group, Hartford, CT, United States
| | | | - Ya-Huei Li
- Research Program, Hartford HealthCare, Hartford, CT, United States
| | - Rohit Masih
- Hartford HealthCare Medical Group, Hartford, CT, United States
| | - Mehak Gandhi
- Hartford HealthCare Medical Group, Hartford, CT, United States
| | - Haleh Saadat
- Integrated Anesthesia Associates-Fairfield Division, Hartford Healthcare, Hartford, CT, United States
- Frank H Netter MD School of Medicine, Quinnipiac University, North Haven, CT, United States
| | - Julie Culmone
- Pre-Admission Testing Center, Perioperative Medicine, Hartford HealthCare, Hartford, CT, United States
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Rogers NG, Carrillo-Marquez M, Carlisle A, Sanders CD, Burge L. Friends Not Foes: Optimizing Collaboration with Subspecialists. Orthop Clin North Am 2023; 54:277-285. [PMID: 37271556 DOI: 10.1016/j.ocl.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Pediatric orthopedic patients can be complex to manage. As orthopedists plan for possible surgical interventions, consultation with pediatric subspecialists will be necessary. This article discusses the considerations an orthopedist should make when deciding on the timing and the appropriateness of consultation-both preoperatively and perioperatively. Consultation before surgical intervention will especially be useful if the subspecialist will be collaborating in the management of the condition postoperatively (whether inpatient or outpatient). Clear and early consultation in both written and verbal format will facilitate quality and expedite the patient's care.
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Affiliation(s)
- Nathaniel G Rogers
- Division of Pediatric Hospital Medicine, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38103, USA.
| | - Maria Carrillo-Marquez
- Division of Infectious Diseases, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38103, USA
| | - Annette Carlisle
- Division of Allergy & Immunology, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38103, USA
| | - Catherine D Sanders
- Division of Pulmonology, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38103, USA
| | - Lauren Burge
- Division of Child Abuse, University of Tennessee Health Science Center, 49 North Dunlap Street, Memphis, TN 38103, USA
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Kern-Goldberger AS, Dalton EM, Rasooly IR, Congdon M, Gunturi D, Wu L, Li Y, Gerber JS, Bonafide CP. Factors Associated With Inpatient Subspecialty Consultation Patterns Among Pediatric Hospitalists. JAMA Netw Open 2023; 6:e232648. [PMID: 36912837 PMCID: PMC10011930 DOI: 10.1001/jamanetworkopen.2023.2648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/14/2023] Open
Abstract
IMPORTANCE Subspecialty consultation is a frequent, consequential practice in the pediatric inpatient setting. Little is known about factors affecting consultation practices. OBJECTIVES To identify patient, physician, admission, and systems characteristics that are independently associated with subspecialty consultation among pediatric hospitalists at the patient-day level and to describe variation in consultation utilization among pediatric hospitalist physicians. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study of hospitalized children used electronic health record data from October 1, 2015, through December 31, 2020, combined with a cross-sectional physician survey completed between March 3 and April 11, 2021. The study was conducted at a freestanding quaternary children's hospital. Physician survey participants were active pediatric hospitalists. The patient cohort included children hospitalized with 1 of 15 common conditions, excluding patients with complex chronic conditions, intensive care unit stay, or 30-day readmission for the same condition. Data were analyzed from June 2021 to January 2023. EXPOSURES Patient (sex, age, race and ethnicity), admission (condition, insurance, year), physician (experience, anxiety due to uncertainty, gender), and systems (hospitalization day, day of week, inpatient team, and prior consultation) characteristics. MAIN OUTCOMES AND MEASURES The primary outcome was receipt of inpatient consultation on each patient-day. Risk-adjusted consultation rates, expressed as number of patient-days consulting per 100, were compared between physicians. RESULTS We evaluated 15 922 patient-days attributed to 92 surveyed physicians (68 [74%] women; 74 [80%] with ≥3 years' attending experience) caring for 7283 unique patients (3955 [54%] male patients; 3450 [47%] non-Hispanic Black and 2174 [30%] non-Hispanic White patients; median [IQR] age, 2.5 ([0.9-6.5] years). Odds of consultation were higher among patients with private insurance compared with those with Medicaid (adjusted odds ratio [aOR], 1.19 [95% CI, 1.01-1.42]; P = .04) and physicians with 0 to 2 years of experience vs those with 3 to 10 years of experience (aOR, 1.42 [95% CI, 1.08-1.88]; P = .01). Hospitalist anxiety due to uncertainty was not associated with consultation. Among patient-days with at least 1 consultation, non-Hispanic White race and ethnicity was associated with higher odds of multiple consultations vs non-Hispanic Black race and ethnicity (aOR, 2.23 [95% CI, 1.20-4.13]; P = .01). Risk-adjusted physician consultation rates were 2.1 times higher in the top quartile of consultation use (mean [SD], 9.8 [2.0] patient-days consulting per 100) compared with the bottom quartile (mean [SD], 4.7 [0.8] patient-days consulting per 100; P < .001). CONCLUSIONS AND RELEVANCE In this cohort study, consultation use varied widely and was associated with patient, physician, and systems factors. These findings offer specific targets for improving value and equity in pediatric inpatient consultation.
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Affiliation(s)
- Andrew S. Kern-Goldberger
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatric Hospital Medicine, Cleveland Clinic, Cleveland, Ohio
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, Ohio
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio
| | - Evan M. Dalton
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Clinical Futures, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Irit R. Rasooly
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Clinical Futures, 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 at the University of Pennsylvania, Philadelphia
| | - Morgan Congdon
- 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
| | - Deepthi Gunturi
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Lezhou Wu
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Yun Li
- Clinical Futures, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Jeffrey S. Gerber
- Clinical Futures, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Christopher P. Bonafide
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Clinical Futures, 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 at the University of Pennsylvania, Philadelphia
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Money NM, Hall M, Quinonez RA, Coon ER, Tremoulet AH, Markham JL, Erdem G, Tamaskar N, Parikh K, Neubauer HC, Darby JB, Wallace SS. Association of Models of Care for Kawasaki Disease With Utilization and Cardiac Outcomes. Hosp Pediatr 2022:e2021006364. [PMID: 35194637 DOI: 10.1542/hpeds.2021-006364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVES Describe the prevalence of different care models for children with Kawasaki disease (KD) and evaluate utilization and cardiac outcomes by care model. METHODS Multicenter, retrospective cohort study of children aged 0 to 18 hospitalized with KD in US children's hospitals from 2017 to 2018. We classified hospital model of care via survey: hospitalist primary service with as-needed consultation (Model 1), hospitalist primary service with automatic consultation (Model 2), or subspecialist primary service (Model 3). Additional data sources included administrative data from the Pediatric Health Information System database supplemented by a 6-site chart review. Utilization outcomes included laboratory, medication and imaging usage, length of stay, and readmission rates. We measured the frequency of coronary artery aneurysms (CAAs) in the full cohort and new CAAs within 12 weeks in the 6-site chart review subset. RESULTS We included 2080 children from 44 children's hospitals; 21 hospitals (48%) identified as Model 1, 19 (43%) as Model 2, and 4 (9%) as Model 3. Model 1 institutions obtained more laboratory tests and had lower overall costs (P < .001), whereas echocardiogram (P < .001) and immune modulator use (P < .001) were more frequent in Model 3. Secondary outcomes, including length of stay, readmission rates, emergency department revisits, CAA frequency, receipt of anticoagulation, and postdischarge CAA development, did not differ among models. CONCLUSIONS Modest cost and utilization differences exist among different models of care for KD without significant differences in outcomes. Further research is needed to investigate primary service and consultation practices for KD to optimize health care value and outcomes.
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Affiliation(s)
- Nathan M Money
- Section of Pediatric Hospital Medicine, Department of Pediatrics, University of Utah School of Medicine, Primary Children's Hospital, Salt Lake City, Utah
| | - Matthew Hall
- Department of Analytics, Children's Hospital Association, Lenexa, Kansas
| | - Ricardo A Quinonez
- Section of Pediatric Hospital Medicine, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - Eric R Coon
- Section of Pediatric Hospital Medicine, Department of Pediatrics, University of Utah School of Medicine, Primary Children's Hospital, Salt Lake City, Utah
| | - Adriana H Tremoulet
- Department of Pediatrics, Rady Children's Hospital and University of California San Diego, San Diego, California
| | - Jessica L Markham
- Section of Pediatric Hospital Medicine, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri
| | - Guliz Erdem
- Section of Infectious Diseases, Nationwide Children's Hospital and The Ohio State University College of Medicine, Columbus, Ohio
| | - Nisha Tamaskar
- Division of Hospital Medicine, Children's National Hospital, School of Medicine and Health Sciences, The George Washington University, Washington, District of Columbia
| | - Kavita Parikh
- Division of Hospital Medicine, Children's National Hospital, School of Medicine and Health Sciences, The George Washington University, Washington, District of Columbia
| | - Hannah C Neubauer
- Section of Pediatric Hospital Medicine, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
| | - John B Darby
- Section of Pediatric Hospital Medicine, Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Sowdhamini S Wallace
- Section of Pediatric Hospital Medicine, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas
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