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McOwiti AO, Tao W, Tao C. Identification and classification of principal features for analyzing unwarranted clinical variation. J Eval Clin Pract 2024; 30:251-259. [PMID: 37933789 PMCID: PMC11460437 DOI: 10.1111/jep.13940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/10/2023] [Accepted: 10/19/2023] [Indexed: 11/08/2023]
Abstract
RATIONALE, AIMS, AND OBJECTIVE Unwarranted clinical variation (UCV) is an undesirable aspect of a healthcare system, but analyzing for UCV can be difficult and time-consuming. No analytic feature guidelines currently exist to aid researchers. We performed a systematic review of UCV literature to identify and classify the features researchers have identified as necessary for the analysis of UCV. METHODS The literature search followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. We looked for articles with the terms 'medical practice variation' and 'unwarranted clinical variation' from four databases: Medline, Web of Science, EMBASE and CINAHL. The search was performed on 24 March 2023. The articles selected were original research articles in the English language reporting on UCV analysis in adult populations. Most of the studies were retrospective cohort analyses. We excluded studies reporting geographic variation based on the Atlas of Variation or small-area analysis methods. We used ASReview Lab software to assist in identifying articles for abstract review. We also conducted subsequent reference searches of the primary articles to retrieve additional articles. RESULTS The search yielded 499 articles, and we reviewed 46. We identified 28 principal analytic features utilized to analyze for unwarranted variation, categorised under patient-related or local healthcare context factors. Within the patient-related factors, we identified three subcategories: patient sociodemographics, clinical characteristics, and preferences, and classified 17 features into seven subcategories. In the local context category, 11 features are classified under two subcategories. Examples are provided on the usage of each feature for analysis. CONCLUSION Twenty-eight analytic features have been identified, and a categorisation has been established showing the relationships between features. Identifying and classifying features provides guidelines for known confounders during analysis and reduces the steps required when performing UCV analysis; there is no longer a need for a UCV researcher to engage in time-consuming feature engineering activities.
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Affiliation(s)
- Apollo O. McOwiti
- McWilliams School of Biomedical Informatics, The University of Texas Health Center at Houston, Houston, USA
| | - Wei Tao
- Biostatistics and Data Science Department, The University of Texas Health Center at Houston, Houston, USA
| | - Cui Tao
- McWilliams School of Biomedical Informatics, The University of Texas Health Center at Houston, Houston, USA
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Pang EM, Liu J, Lu T, Joshi NS, Gould J, Lee HC. Evaluating Epidemiologic Trends and Variations in NICU Admissions in California, 2008 to 2018. Hosp Pediatr 2023; 13:976-983. [PMID: 37867440 PMCID: PMC10593864 DOI: 10.1542/hpeds.2023-007190] [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] [Indexed: 10/24/2023]
Abstract
OBJECTIVE Previous research suggests increasing numbers of and variation in NICU admissions. We explored whether these trends were reflected in California by examining NICU admissions and birth data in aggregate and among patient and hospital subpopulations more susceptible to variations in care. METHODS In this retrospective cohort study, we evaluated NICU utilization between 2008 and 2018 for all live births at hospitals that provide data to the California Perinatal Quality Care Collaborative. We compared hospital- and admission-level data across birth weight (BW), gestational age (GA), and illness acuity categories. Trends were analyzed by using linear regression models. RESULTS We identified 472 402 inborn NICU admissions and 3 960 441 live births across 144 hospitals. Yearly trends in NICU admissions remained stable among all births and higher acuity births (mean admission rates 11.9% and 4.1%, respectively). However, analysis of the higher acuity births revealed significant increases in NICU admission rates for neonates with higher BW and GA (BW ≥ 2500g: 1.8% in 2008, 2.1% in 2018; GA ≥ 37 weeks: 1.5% in 2010, 1.8% in 2018). Kaiser hospitals had a decreasing trend of NICU admissions compared to non-Kaiser hospitals (Kaiser: 13.9% in 2008, 10.1% in 2018; non-Kaiser: 11.3% in 2008, 12.3% in 2018). CONCLUSIONS Overall NICU admission rates in California were stable from 2008-2018. However, trends similar to national patterns emerged when stratified by infant GA, BW, and illness acuity as well as Kaiser or non-Kaiser hospitals, with increasing admission rates for infants born at higher BW and GA and within non-Kaiser hospitals.
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Affiliation(s)
- Emily M. Pang
- Stanford University School of Medicine, Stanford, California
| | - Jessica Liu
- Division of Neonatology, Department of Pediatrics
- California Perinatal Quality Care Collaborative (CPQCC)
| | - Tianyao Lu
- Division of Neonatology, Department of Pediatrics
- California Perinatal Quality Care Collaborative (CPQCC)
| | - Neha S. Joshi
- Division of Pediatric Hospital Medicine, Department of Pediatrics, Stanford University, Stanford, California
| | - Jeffrey Gould
- Division of Neonatology, Department of Pediatrics
- California Perinatal Quality Care Collaborative (CPQCC)
| | - Henry C. Lee
- California Perinatal Quality Care Collaborative (CPQCC)
- Division of Neonatology, Department of Pediatrics, University of California San Diego, San Diego, California
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Do regional geography and race influence management of chronic spontaneous urticaria? J Allergy Clin Immunol 2022; 150:1260-1264.e7. [PMID: 36481046 DOI: 10.1016/j.jaci.2022.10.017] [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: 07/11/2022] [Revised: 09/21/2022] [Accepted: 10/18/2022] [Indexed: 12/07/2022]
Abstract
Chronic spontaneous urticaria is defined as migratory evanescent pruritic blanching wheals that occur with variable frequency for 6 weeks or more, with or without accompanying angioedema. This condition affects approximately 0.1% to 1.4% of persons worldwide. Second-generation H1 antihistamines are the mainstay of management, with refractory cases often managed with an array of options, including H2 antihistamines, leukotriene receptor antagonists, glucocorticosteroids, immunosuppressive agents, and omalizumab. However, the degree of practice variation as to what treatments are prescribed is poorly understood, given that clinical care could be driven by patient preferences or lack of clarity as to best practices for refractory cases. We conducted a small, exploratory study of the role of race, ethnicity, and regional geographic distance to specialist care on chronic spontaneous urticaria prescribing practices. A small-area geographic variation in chronic spontaneous urticaria management in a large Chicago-area health care system was identified. Rates of omalizumab use varied by patient zip code, with more omalizumab prescriptions being associated with zip codes closer to the main office of an academic medical center-affiliated allergist-immunologist practice. Higher rates of omalizumab use were associated with White race in regional and patient-level analyses, though the reasons for this race-based finding are not clear.
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Knighton AJ, Bass EJ, McLaurin EJ, Anderson M, Baird JD, Cray S, Destino L, Khan A, Liss I, Markle P, O'Toole JK, Patel A, Srivastava R, Landrigan CP, Spector ND, Patel SJ. Intervention, individual, and contextual determinants to high adherence to structured family-centered rounds: a national multi-site mixed methods study. Implement Sci Commun 2022; 3:74. [PMID: 35842692 PMCID: PMC9287702 DOI: 10.1186/s43058-022-00322-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 06/22/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Effective communication in transitions between healthcare team members is associated with improved patient safety and experience through a clinically meaningful reduction in serious safety events. Family-centered rounds (FCR) can serve a critical role in interprofessional and patient-family communication. Despite widespread support, FCRs are not utilized consistently in many institutions. Structured FCR approaches may prove beneficial in increasing FCR use but should address organizational challenges. The purpose of this study was to identify intervention, individual, and contextual determinants of high adherence to common elements of structured FCR in pediatric inpatient units during the implementation phase of a large multi-site study implementing a structured FCR approach. METHODS We performed an explanatory sequential mixed methods study from September 2019 to October 2020 to evaluate the variation in structured FCR adherence across 21 pediatric inpatient units. We analyzed 24 key informant interviews of supervising physician faculty, physician learners, nurses, site administrators, and project leaders at 3 sites using a qualitative content analysis paradigm to investigate site variation in FCR use. We classified implementation determinants based on the Consolidated Framework for Implementation Research. RESULTS Provisional measurements of adherence demonstrated considerable variation in structured FCR use across sites at a median time of 5 months into the implementation. Consistent findings across all three sites included generally positive clinician beliefs regarding the use of FCR and structured rounding approaches, benefits to learner self-efficacy, and potential efficiency gains derived through greater rounds standardization, as well as persistent challenges with nurse engagement and interaction on rounds and coordination and use of resources for families with limited English proficiency. CONCLUSIONS Studies during implementation to identify determinants to high adherence can provide generalizable knowledge regarding implementation determinants that may be difficult to predict prior to implementation, guide adaptation during the implementation, and inform sustainment strategies.
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Affiliation(s)
- Andrew J Knighton
- Healthcare Delivery Institute, Intermountain Healthcare, Murray, UT, USA.
| | - Ellen J Bass
- Department of Health Systems and Sciences Research, College of Nursing & Health Professions, Drexel University, Philadelphia, PA, USA
- Department of Information Science, College of Computing and Informatics, Drexel University, Philadelphia, PA, USA
| | - Elease J McLaurin
- Health Systems & Sciences Research, College of Nursing & Health Professions, Drexel University, Philadelphia, PA, USA
| | | | - Jennifer D Baird
- Institute for Nursing and Interprofessional Research, Children's Hospital of Los Angeles, Los Angeles, CA, USA
| | - Sharon Cray
- St. Christopher's Hospital for Children, Philadelphia, PA, USA
| | - Lauren Destino
- Stanford University, Pediatric Hospital Medicine, Palo Alto, CA, USA
| | - Alisa Khan
- Harvard Medical School, Boston Children's Hospital, Boston, MB, USA
| | - Isabella Liss
- Harvard Medical School, Boston Children's Hospital, Boston, MB, USA
| | - Peggy Markle
- Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Jennifer K O'Toole
- Pediatrics and Internal Medicine, University of Cincinnati College of Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Aarti Patel
- Rady Children's Hospital San Diego, University of California, San Diego, CA, USA
| | - Rajendu Srivastava
- Healthcare Delivery Institute, Intermountain Healthcare, Murray, UT, USA
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Christopher P Landrigan
- Division of General Pediatrics, Boston Children's Hospital, Boston, MB, USA
- Sleep and Patient Safety Program, Brigham and Women's Hospital, Boston, MB, USA
- William Berenberg Professor of Pediatrics, Harvard Medical School, Boston, MB, USA
- Boston Children's Hospital, Boston, MB, USA
| | - Nancy D Spector
- Executive Leadership in Academic Medicine (ELAM) Program, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Pediatrics, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Shilpa J Patel
- Kapiolani Medical Center for Women & Children, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
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