4 results on '"Tamara D. Simon"'
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2. Development and Pilot Testing of Caregiver-Reported Pediatric Quality Measures for Transitions Between Sites of Care
- Author
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Carolyn Allshouse, Rita Mangione-Smith, Maria T. Britto, Courtney A. Gidengil, Layla Parast, Marc N. Elliott, Eric C. Schneider, Q. Burkhart, JoAnna K. Leyenaar, Sara L. Toomey, Arti D. Desai, and Tamara D. Simon
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Delphi Technique ,Quality Assurance, Health Care ,media_common.quotation_subject ,Delphi method ,Aftercare ,Pilot Projects ,Pediatrics ,Article ,Care setting ,Random Allocation ,03 medical and health sciences ,0302 clinical medicine ,Surveys and Questionnaires ,030225 pediatrics ,Ambulatory Care ,Humans ,Medicine ,Quality (business) ,Postal Service ,030212 general & internal medicine ,Single institution ,Child ,Quality Indicators, Health Care ,media_common ,business.industry ,Infant ,Transitional Care ,Emergency department ,Hospitals, Pediatric ,Educational attainment ,Telephone ,Hospitalization ,Telephone survey ,Caregivers ,Child, Preschool ,Evidence-Based Practice ,Family medicine ,Pediatrics, Perinatology and Child Health ,Female ,Pilot test ,Emergency Service, Hospital ,business - Abstract
Background Few measures exist to assess pediatric transition quality between care settings. The study objective was to develop and pilot test caregiver-reported quality measures for pediatric hospital and emergency department (ED) to home transitions. Methods On the basis of an evidence review, we developed draft caregiver-reported quality measures for transitions between sites of care. Using the RAND-UCLA Modified Delphi method, a multistakeholder panel endorsed measures for further development. Measures were operationalized into 2 surveys, which were administered to caregivers of patients (n = 2839) discharged from Seattle Children's Hospital between July 1 and September 1, 2014. Caregivers were randomized to mail or telephone survey mode. Measure scores were computed as a percentage of eligible caregivers who endorsed receiving the indicated care. Differences in scores were examined according to survey mode and caregiver characteristics. Results The Delphi panel endorsed 6 of 8 hospital to home transition measures and 2 of 3 ED to home transitions measures. Scores differed significantly according to mode for 1 measure. Caregivers with lower levels of educational attainment and/or Spanish-speaking caregivers reported significantly higher scores on 3 of the measures. The largest difference was reported for the measure that assessed whether caregivers received assistance with scheduling follow-up appointments; 92% score for caregivers with lower educational attainment versus 79% for caregivers with higher educational attainment ( P Conclusions We developed 8 new, evidence-based quality measures to assess transition quality from the perspective of caregivers. Pilot testing of these measures in a single institution yielded valuable insights for future testing and implementation of these measures.
- Published
- 2016
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3. Development and Validation of the Pediatric Medical Complexity Algorithm (PMCA) Version 3.0
- Author
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Katherine Hawley, Karen Lambka, Tamara D. Simon, Rita Mangione-Smith, and Wren Haaland
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Male ,Washington ,Discharge data ,Adolescent ,Sensitivity and Specificity ,Severity of Illness Index ,Medical Records ,Article ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,International Classification of Diseases ,030225 pediatrics ,Claims data ,Hospital discharge ,Medicine ,Humans ,030212 general & internal medicine ,Child ,Inpatient care ,business.industry ,Medical record ,Infant ,Emergency department ,Hospitals, Pediatric ,Chronic disease ,Child, Preschool ,Pediatrics, Perinatology and Child Health ,Chronic Disease ,Dermatitis, Allergic Contact ,Methacrylates ,Female ,business ,Algorithm ,Algorithms - Abstract
Objective To modify the Pediatric Medical Complexity Algorithm (PMCA) to include both International Classification of Diseases, Ninth and Tenth Revisions, Clinical Modification (ICD-9/10-CM) codes for classifying children with chronic disease (CD) by level of medical complexity and to assess the sensitivity and specificity of the new PMCA version 3.0 for correctly identifying level of medical complexity. Methods To create version 3.0, PMCA version 2.0 was modified to include ICD-10-CM codes. We applied PMCA version 3.0 to Seattle Children's Hospital data for children with ≥1 emergency department (ED), day surgery, and/or inpatient encounter from January 1, 2016, to June 30, 2017. Starting with the encounter date, up to 3 years of retrospective discharge data were used to classify children as having complex chronic disease (C-CD), noncomplex chronic disease (NC-CD), and no CD. We then selected a random sample of 300 children (100 per CD group). Blinded medical record review was conducted to ascertain the levels of medical complexity for these 300 children. The sensitivity and specificity of PMCA version 3.0 was assessed. Results PMCA version 3.0 identified children with C-CD with 86% sensitivity and 86% specificity, children with NC-CD with 65% sensitivity and 84% specificity, and children without CD with 77% sensitivity and 93% specificity. Conclusions PMCA version 3.0 is an updated publicly available algorithm that identifies children with C-CD, who have accessed tertiary hospital emergency department, day surgery, or inpatient care, with very good sensitivity and specificity when applied to hospital discharge data and with performance to earlier versions of PMCA.
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- 2017
4. Quality Improvement Research in Pediatric Hospital Medicine and the Role of the Pediatric Research in Inpatient Settings (PRIS) Network
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Christopher P. Landrigan, Leah E. Willis, Karen M. Wilson, Samir S. Shah, Tamara D. Simon, Theodore C. Sectish, Rajendu Srivastava, Nancy D. Spector, Patrick H. Conway, Amy J. Starmer, Joel S. Tieder, and Mark W. Shen
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Male ,Quality management ,media_common.quotation_subject ,Hospitals, Community ,Pediatrics ,Hospital Medicine ,Mentorship ,Nursing ,Information system ,Humans ,Medicine ,Quality (business) ,Child ,Quality of Health Care ,media_common ,Academic Medical Centers ,Inpatients ,Inpatient care ,business.industry ,Pediatric research ,Role ,Hospitals, Pediatric ,Quality Improvement ,United States ,Variety (cybernetics) ,Hospital medicine ,Hospitalization ,Hospitalists ,Child, Preschool ,Pediatrics, Perinatology and Child Health ,Female ,Health Services Research ,business - Abstract
Pediatric hospitalists care for many hospitalized children in community and academic settings, and they must partner with administrators, other inpatient care providers, and researchers to assure the reliable delivery of high-quality, safe, evidence-based, and cost-effective care within the complex inpatient setting. Paralleling the growth of the field of pediatric hospital medicine is the realization that innovations are needed to address some of the most common clinical questions. Some of the unique challenges facing pediatric hospitalists include the lack of evidence for treating common conditions, children with chronic complex conditions, compressed time frame for admissions, and the variety of settings in which hospitalists practice. Most pediatric hospitalists are engaged in some kind of quality improvement (QI) work as hospitals provide many opportunities for QI activity and innovation. There are multiple national efforts in the pediatric hospital medicine community to improve quality, including the Children's Hospital Association (CHA) collaboratives and the Value in Pediatrics Network (VIP). Pediatric hospitalists are also challenged by the differences between QI and QI research; understanding that while improving local care is important, to provide consistent quality care to children we must study single-center and multicenter QI efforts by designing, developing, and evaluating interventions in a rigorous manner, and examine how systems variations impact implementation. The Pediatric Research in Inpatient Setting (PRIS) network is a leader in QI research and has several ongoing projects. The Prioritization project and Pediatric Health Information System Plus (PHIS+) have used administrative data to study variations in care, and the IIPE-PRIS Accelerating Safe Sign-outs (I-PASS) study highlights the potential for innovative QI research methods to improve care and clinical training. We address the importance, current state, accomplishments, and challenges of QI and QI research in pediatric hospital medicine; define the role of the PRIS Network in QI research; describe an exemplary QI research project, the I-PASS Study; address challenges for funding, training and mentorship, and publication; and identify future directions for QI research in pediatric hospital medicine.
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- 2013
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