Literature DB >> 26908677

Evidence, Quality, and Waste: Solving the Value Equation in Neonatology.

Dmitry Dukhovny1, DeWayne M Pursley2, Haresh M Kirpalani3, Jeffrey H Horbar4, John A F Zupancic2.   

Abstract

Rising health care costs challenge governments, payers, and providers in delivering health care services. Tremendous pressures result to deliver better quality care while simultaneously reducing costs. This has led to a wholesale re-examination of current practice methods, including explicit consideration of efficiency and waste. Traditionally, reductions in the costs of care have been considered as independent, and sometimes even antithetical, to the practice of high-quality, intensive medicine. However, it is evident that provision of evidence-based, locally relevant care can result in improved outcomes, lower resource utilization, and opportunities to reallocate resources. This is particularly relevant to the practice of neonatology. In the United States, 12% of the annual birth cohort is affected by preterm birth, and 3% is affected by congenital anomalies. Both of these conditions are associated with costly health care during, and often long after, the NICU admission. We will discuss how 3 drivers of clinical practice in neonatal care (evidence-based medicine, evidence-based economics, and quality improvement) can together optimize clinical and fiscal outcomes.
Copyright © 2016 by the American Academy of Pediatrics.

Entities:  

Mesh:

Year:  2016        PMID: 26908677     DOI: 10.1542/peds.2015-0312

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  12 in total

1.  Roadmap to a successful quality improvement project.

Authors:  J R Swanson; S A Pearlman
Journal:  J Perinatol       Date:  2016-12-01       Impact factor: 2.521

2.  Toward development of evidenced-based quality parameters: What gets counted and who gets paid?

Authors:  Shetal I Shah; Heather L Brumberg; Cynthia F Bearer
Journal:  Pediatr Res       Date:  2016-04-21       Impact factor: 3.756

3.  The business case for quality improvement.

Authors:  Hannah Ryan Fischer; Scott Davis Duncan
Journal:  J Perinatol       Date:  2020-03-30       Impact factor: 2.521

4.  Cost consciousness among physicians in the neonatal intensive care unit.

Authors:  D Wei; C Osman; D Dukhovny; J Romley; M Hall; S Chin; T Ho; P S Friedlich; A Lakshmanan
Journal:  J Perinatol       Date:  2016-07-28       Impact factor: 2.521

5.  Recent controversies on comparative effectiveness research investigations: Challenges, opportunities, and pitfalls.

Authors:  Haresh Kirpalani; William E Truog; Carl T D'Angio; Michael Cotten
Journal:  Semin Perinatol       Date:  2016-08-08       Impact factor: 3.300

6.  Cost-effectiveness of probiotics for necrotizing enterocolitis prevention in very low birth weight infants.

Authors:  Atoosa F Craighead; Aaron B Caughey; Anoshua Chaudhuri; Leah Yieh; Alyssa R Hersh; Dmitry Dukhovny
Journal:  J Perinatol       Date:  2020-08-18       Impact factor: 2.521

7.  Evaluating Neonatal Telehealth Programs Using the STEM Framework.

Authors:  John Chuo; Ali Chandler; Scott Lorch
Journal:  Semin Perinatol       Date:  2021-04-05       Impact factor: 3.311

8.  The quest for sustained multiple morbidity reduction in very low-birth-weight infants: the Antifragility project.

Authors:  J W Kaempf; N M Schmidt; S Rogers; C Novack; M Friant; L Wang; N Tipping
Journal:  J Perinatol       Date:  2017-02-16       Impact factor: 2.521

9.  Trends in Neonatal Intensive Care Unit Utilization in a Large Integrated Health Care System.

Authors:  David Braun; Eric Braun; Vicki Chiu; Anthony E Burgos; Mandhir Gupta; Marianna Volodarskiy; Darios Getahun
Journal:  JAMA Netw Open       Date:  2020-06-01

10.  Factors influencing decision making in neonatology: inhaled nitric oxide in preterm infants.

Authors:  Veena Manja; Gordon Guyatt; Satyan Lakshminrusimha; Susan Jack; Haresh Kirpalani; John A F Zupancic; Dmitry Dukhovny; John J You; Sandra Monteiro
Journal:  J Perinatol       Date:  2018-10-23       Impact factor: 2.521

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