000 05192nam a22004215i 4500
999 _c382050
_d382050
001 382050
003 ES-MaUEC
005 20230102121951.0
006 a||||fo|||| 00| 0
007 cr nn 008mamaa
008 221001s2022 sz | s |||| 0|eng d
020 _a9783030946555
024 7 _a10.1007/978-3-030-94655-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRJ251
_b2022 EB
245 0 4 _aThe Problem of Practice Variation in Newborn Medicine :
_bCritical Insights for Evaluating and Improving Quality
_cedited by Joseph Schulman
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XVII, 274 páginas)
_b30 ilustraciones, 20 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
505 0 _a1. What is practice variation and why should we care about it? -- 2. Clinical Care: Why do we do what we do? Exactly what are we trying to achieve? -- 3. How do practice variation and quality improvement efforts relate? -- 4. The ubiquity of practice variation -- 5. The Dartmouth Atlas of Neonatal Care. Author: David C. Goodman, MD, MS -- 6. The Norwegian Neonatal Healthcare Atlas. Author: Atle Moen, MD, PhD -- 7. NICU Antibiotic Practice Variation -- 8. Can Performance Feedback Affect NICU Antibiotic Practice Variation? -- 9. A Single Measure of Antibiotic Practice Variation is Insufficient - Hospital Diagnostic Efficiency for Early- and Late-onset Neonatal Sepsis -- 10. Association Between Inborn NICU Admission rates and Proportion With High Illness Acuity -- 11. Expanding Our Evaluative Focus -- 12. The NICU Electronic Medical Record and Performance Evaluation -- 13. How to Interpret Your Dot: What Does Your Risk-Adjusted Performance Measure Actually Tell You? -- 14. A Primer on Systems Thinking and Understanding Variation in Care Processes Results - Statistical Process Control Methods -- 15. Practice Variation and (Mis)Aligned Incentives -- 16. Eliminating Site of Care as an Independent Outcome Determinant -- 17.Which Rate is "Right"? .
520 _aNeonatal intensive care unit (NICU) teams in the US and around the world receive performance reports that locate their particular value for selected process and outcome measures within the range of values from all reporting NICUs. Understandably, many providers focus primarily, if not exclusively, on their particular value. When a value appears undesirable, providers often justify it in an apparent reflex response rather than critically analysing their data. Exceedingly few reflect on the width or implications of the range within which their performance lies. Standard medical education does not include these skills, yet unwarranted practice variation necessarily compromises a population's overall quality of care. Researchers report wide variation in health care resource use with little connection to patient outcomes, challenging the belief that directing incrementally more resources at certain healthcare problems necessarily produces better results. This book provides requisite knowledge to enable readers without research expertise to understand the notion of unwarranted practice variation, how to recognize it, its ubiquity, and why it is generally undesirable - why narrowing is pervasiveness improves quality. The book begins by describing practice variation, its prevalence, and why it matters. Next, it examines alternative conceptualizations of NICU work. One view is task-oriented, while the other is aim-oriented. NICU teams rarely articulate their aims explicitly, so this book offers examples that guide thinking and action. Finally, this book asks, "Which rate is 'right'; what is the performance target?" The answer entails identifying the lowest resource use rate associated with desirable outcomes. This requires data describing efficient and predictably performing provision of current evidence-based care, along with relationships to a variety of outcomes. Provider conceptualization of healthcare quality also is often vague. The challenge lies in defining this notion operationally. This book does precisely that and gives readers tools to think critically about process, outcome, and quality measures, via some understanding of systems, risk-adjustment modelling, and discriminating signal from noise in process data.
988 _aSpringer_Medicine_2022
650 7 _2embne
_9140875
_aNeonatología
650 7 _2embne
_9139090
_aNiños recién nacidos
700 1 _aSchulman, Joseph
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030946548
776 0 8 _iPrinted edition:
_z9783030946562
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-94655-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b10/2022
_dz
_eIG
_zSI