Control, compare and communicate: designing control charts to summarise efficiently data from multiple quality indicators

Guthrie, Bruce; Love, Tom; Fahey, Tom; Morris, Andrew M.; Sullivan, Frank

doi:10.1136/qshc.2005.014456

Cited by 26 publications

(22 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Comparisons of crude rates indicate wide variation between units. This variation could be due to chance and the current feedback does not indicate statistically significant variation [5].…”

Section: Introductionmentioning

confidence: 92%

Funnel plots for comparing institutional performance of antenatal care in pregnant women with diabetes

2011

View full text Add to dashboard Cite

“…Comparisons of crude rates indicate wide variation between units. This variation could be due to chance and the current feedback does not indicate statistically significant variation [5].…”

Section: Introductionmentioning

confidence: 92%

Funnel plots for comparing institutional performance of antenatal care in pregnant women with diabetes

2011

View full text Add to dashboard Cite

“…A process that displays only common cause variation is said to be stable and in a state of "statistical control", and is predictable within limits defined by statistical theory. 1,12 Special cause variation, on the other hand, represents variation in the process that deviates from what is expected, and results from specific non-random events uncommon to the process. This type of variation signals a fundamental change in the process, which can be either an improvement or deterioration in performance.…”

Section: Statistical Process Control -The Theory and Toolsmentioning

confidence: 99%

“…Sources of poor performance should be eliminated, while examples of good practice should be sustained so that they become common to the process. 12,14 This brings the process in control so that it is stable and predictable within expected limits; the process itself can then be improved.…”

Section: Statistical Process Control -The Theory and Toolsmentioning

confidence: 99%

Statistical process control part 1: a primer for using statistical process control in health care process improvement

Chetter¹

2009

Aust. Health Review

View full text Add to dashboard Cite

QUALITY IMPROVEMENT is increasingly important for health care organisations both nation-wide and internationally. There is greater recognition of both the variances in patient care and the gaps between evidence-based research and current practice. At the same time, demand, not only for the quantity of services, but for higher quality services, continues to grow. Realising this, most major hospitals across Australia are initiating the redesign of hospital processes in order to maximise the timeliness and quality of patient care. But changing a process does not always result in an improvement.1,2 For this reason, a key component of any quality improvement effort is the robust measurement, analysis, and interpretation of appropriate clinical outcomes and processes, to ensure beneficial changes occur.

show abstract

“…Data showing the HbA1c levels of patients in all practices in Tayside identified one or two below the standards expected which could then be engaged in further discussions to identify the cause of the problem and, usually, rectify it. 11 Data were even more important in addressing the widespread problem of the inverse care law 'The availability of good medical or social care tends to vary inversely with the need of the population served'. 12 Health services in many countries are designed for mobile, intelligent people who will attend for examinations when they are asked to do so.…”

Section: Diabetes Carementioning

confidence: 99%

The John Bryden memorial lecture: improving health with the community health index and developments in record linkage

Sullivan¹

2014

Journal of Innovation in Health Informatics

View full text Add to dashboard Cite

Dr. John Bryden was the executive officer of European Federation for Medical Informatics for a decade between 1998 and 2008. When he retired from active work within the federation, he was awarded an honorary fellowship. In one of his early papers from the 1960s, he described how some relatively novel machines called computers might replace the punched cards that were being used at the time. He saw, before many others, that computers could be used for the care of individual patients and even more so for groups of patients. He implemented a unique patient identifier (community health index) which has enabled Scotland to link electronic medical record data for clinical management of chronic disease deterministically. An example was the development of the Glasgow Coma Scale. One benefit of demonstrating significant value in projects such as this at an early stage of record linkage was that the governance framework for the use of data became relatively permissive. Another major success was diabetes care; it became possible to apply insights from the aggregate data to improve services and make them more efficient. Scotland has developed safe havens for data where not only the physical environment but also the people, mechanisms and projects are all subject to control to ensure safety and confidentiality. Similar moves are under way in Europe. TRANSFoRm (www.transformproject.eu) led by King's college in London is mainly focused on primary care data. Excellence in medical informatics is possible as a result of the work of its pioneers, including John Bryden's first paper suggesting that computers might be useful.

show abstract

Control, compare and communicate: designing control charts to summarise efficiently data from multiple quality indicators

Cited by 26 publications

References 14 publications

Funnel plots for comparing institutional performance of antenatal care in pregnant women with diabetes

Funnel plots for comparing institutional performance of antenatal care in pregnant women with diabetes

Statistical process control part 1: a primer for using statistical process control in health care process improvement

The John Bryden memorial lecture: improving health with the community health index and developments in record linkage

Contact Info

Product

Resources

About