Literature DB >> 32482956

Clinicians Report Barriers and Facilitators to High-Quality Ambulatory Oncology Care.

Megan Lafferty1, Milisa Manojlovich, Jennifer J Griggs, Nathan Wright, Molly Harrod, Christopher R Friese.   

Abstract

BACKGROUND: Ambulatory oncology practices treat thousands of Americans on a daily basis with high-risk and high-cost antineoplastic agents. However, we know relatively little about these diverse practices and the organizational structures influencing care delivery.
OBJECTIVE: The aim of this study was to examine clinician-reported factors within ambulatory oncology practices that affect care delivery processes and outcomes for patients and clinicians.
METHODS: Survey data were collected in 2017 from 298 clinicians (nurses, physicians, nurse practitioners, and physician assistants) across 29 ambulatory practices in Michigan. Clinicians provided written comments about favorable and unfavorable aspects of their work environments that affected their ability to deliver high-quality care. We conducted inductive content analysis and used the Systems Engineering Initiative for Patient Safety work system model to organize and explain our findings.
RESULTS: Clinicians reported factors within all 5 work-system components of the Systems Engineering Initiative for Patient Safety model that affected care delivery and outcomes. Common themes surfaced, such as unfavorable aspects including staffing inadequacy and high patient volume, limited physical space, electronic health record usability issues, and order entry. Frequent favorable aspects focused on the skills of colleagues, collaboration, and teamwork. Some clinicians explicitly reported how work system factors were relational and influenced patient, clinician, and organizational outcomes.
CONCLUSIONS: These findings show how work-system components are interactive and relational reflecting the complex nature of care delivery. IMPLICATIONS FOR NURSING PRACTICE: Data obtained from frontline clinicians can support leaders in making organizational changes that are congruent with clinician observations of practices' strengths and opportunities for improvement.
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.

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Mesh:

Year:  2021        PMID: 32482956      PMCID: PMC7704529          DOI: 10.1097/NCC.0000000000000832

Source DB:  PubMed          Journal:  Cancer Nurs        ISSN: 0162-220X            Impact factor:   2.592


  24 in total

Review 1.  The science of quality improvement implementation: developing capacity to make a difference.

Authors:  Jeffrey A Alexander; Larry R Hearld
Journal:  Med Care       Date:  2011-12       Impact factor: 2.983

2.  Nurse practice environments and outcomes: implications for oncology nursing.

Authors:  Christopher R Friese
Journal:  Oncol Nurs Forum       Date:  2005-07-01       Impact factor: 2.172

3.  A new approach to making your doctor-nurse team more productive.

Authors:  Peter Anderson; Marc D Halley
Journal:  Fam Pract Manag       Date:  2008 Jul-Aug

4.  The National Practice Benchmark for oncology, 2014 report on 2013 data.

Authors:  Elaine L Towle; Thomas R Barr; James L Senese
Journal:  J Oncol Pract       Date:  2014-11       Impact factor: 3.840

5.  Nurse-physician relationships in ambulatory oncology settings.

Authors:  Christopher R Friese; Milisa Manojlovich
Journal:  J Nurs Scholarsh       Date:  2012-07-19       Impact factor: 3.176

6.  Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction.

Authors:  Linda H Aiken; Sean P Clarke; Douglas M Sloane; Julie Sochalski; Jeffrey H Silber
Journal:  JAMA       Date:  2002 Oct 23-30       Impact factor: 56.272

7.  Using Data to Strengthen Ambulatory Oncology Nursing Practice.

Authors:  Christopher R Friese; Mary Lou Siefert; Kaitlin Thomas-Frost; Stacy Walker; Patricia Reid Ponte
Journal:  Cancer Nurs       Date:  2016 Jan-Feb       Impact factor: 2.592

8.  Role of computerized physician order entry systems in facilitating medication errors.

Authors:  Ross Koppel; Joshua P Metlay; Abigail Cohen; Brian Abaluck; A Russell Localio; Stephen E Kimmel; Brian L Strom
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

9.  Two-year longitudinal assessment of physicians' perceptions after replacement of a longstanding homegrown electronic health record: does a J-curve of satisfaction really exist?

Authors:  David A Hanauer; Greta L Branford; Grant Greenberg; Sharon Kileny; Mick P Couper; Kai Zheng; Sung W Choi
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

10.  Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction.

Authors:  Tait D Shanafelt; Lotte N Dyrbye; Christine Sinsky; Omar Hasan; Daniel Satele; Jeff Sloan; Colin P West
Journal:  Mayo Clin Proc       Date:  2016-06-27       Impact factor: 7.616

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