A Practical Guide to Performance Improvement: Data Collection and Analysis

Dawson, Anthony

doi:10.1002/aorn.12673

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…The Pareto theory is based on the idea that 80% of the effects come from 20% of the causes (Dawson, 2019).…”

Section: Methods Of Data Collection and Analysismentioning

confidence: 99%

Information technology in the pecan nut production: case in Paraná state, Brazil

Franco

2022

Exacta

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The aim is to assess the insertion of information technology in properties of pecan nut producers of the Western Region in Parana State, in Brazil. A questionnaire was applied to 21 pecan producers in the West Region of Paraná. Significant difference was tested using Kruskal Wallis in relation to the age of the farmer, working time, property size and use of information technology (IT). In the PDCA analysis, suggestions for continuous improvement were presented. In the findings, differences in the use of IT in properties of pecan nut producers are statistically significant in variables of property size and working time. The size, working time, number of computers, IT service outsourcing, and quality of data access are significantly and positively correlated. The practical implication is to use the implantation of IT in companies, as a methodological lens to evaluate the scenario of pecan producers of the Western Region in Parana State.

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“…The Pareto theory is based on the idea that 80% of the effects come from 20% of the causes (Dawson, 2019).…”

Section: Methods Of Data Collection and Analysismentioning

confidence: 99%

Information technology in the pecan nut production: case in Paraná state, Brazil

Franco

2022

Exacta

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“…The degree of influence of the factors was established using Pareto diagrams as a promising method for statistical processing [32].…”

Section: Materials and Methods For Studying The Influence Of Hydrothementioning

confidence: 99%

Improvement of the process of hydrothermal treatment and peeling of spelt wheat grain during cereal production

Liubych

Novikov

Polianetska

et al. 2019

EEJET

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“…Th e ultimate purpose of taking data is to provide a basis for action or a recommendation for action. " -W. Edwards Deming, 1942 (Dawson, 2019). First, consider whether the data are quantitative or categorical.…”

Section: Quality Improvement Tools For Data Analysis/displaymentioning

confidence: 99%

Continuous Quality Improvement

Zonsius¹,

Milner²

2021

Research for Advanced Practice Nurses

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In the late 1980s, with the beginning transition from fee for service to a prospective payment plan, healthcare organizations were fi rst challenged to evaluate their ineffi ciencies. With further changes in the fi nancing of healthcare to rein in costs (e.g., capitation and contracting by large insurers and managed care organizations), hospitals began to recognize the competitive nature of healthcare and that ineffi ciency cut into profi ts. Healthcare organizations began to shift from quality assurance, a retrospective review of individual's compliance with policies and procedures, to proactive analysis of system's processes and outcomes called quality improvement (QI;Colton, 2000).In addition to fi nancial factors, several sentinel events accelerated the evolution of QI in healthcare organizations. Th e National Demonstration Project in QI in Health Care examined whether or not the industrial QI paradigm was transferable to healthcare organizations (Colton, 2000). Th e industrial QI paradigm was based on the founding work of Walter Shewhart, W. Edwards Deming, and Joseph Juran and results supported the use of this paradigm to drive patient safety and quality care in healthcare organizations (Burda, 1988). Bolstered by these results, co-author and physician Donald Berwick, made the case, in the New England Journal of Medicine, for using industrial-based QI methods to improve American healthcare (Berwick, 1989). Another sentinel event was Th e Joint Commission's Agenda for Change that included the use of QI in hospitals and included input from key stakeholders (e.g., patients, healthcare workers, and hospital administrators) to achieve its goal of rewriting its accreditation standards (Colton, 2000). Th e new standards focused on the QI process and included the use of run charts, Pareto charts and statistical process control to evaluate and improve systems to achieve better outcomes.Th e Institute for Healthcare Improvement (IHI) emerged from the National Demonstration Project on QI in Health Care in 1991 in Cambridge, Massachusetts (IHI, n.d.). Th e creators of the IHI envisioned clinicians in healthcare systems using QI methods to fi x unreliable common care practices (Berwick et al., 1990). Th e IHI recognized the need to build capacity for change in the U.S. healthcare system by creating an organization that would engage in knowledge sharing and training on performance improvement.From 2005 to the present, the IHI has been establishing patient safety initiatives in the United States and abroad (IHI, n.d.). As part of this work, the IHI launched the Triple Aim in 2006 with a call to enhance the patient experience, improve population health, and reduce costs to optimize health system performance (Berwick et al., 2008). Clinicians in primary care practices across the United States have adopted the Triple Aim framework; however, stressful work life has interfered

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A Practical Guide to Performance Improvement: Data Collection and Analysis

Cited by 6 publications

References 3 publications

Information technology in the pecan nut production: case in Paraná state, Brazil

Information technology in the pecan nut production: case in Paraná state, Brazil

Improvement of the process of hydrothermal treatment and peeling of spelt wheat grain during cereal production

Continuous Quality Improvement

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