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Self-assessment questionnaire for family doctors’ assessment of quality improvement competencies: a cross-cultural adaptation in Slovenia

et al. Development of a aompetency framework for quality improvement in family medicine: a qualitative study. J Contin Educ Health Prof 2012; 32: 174-80. 10. Klemenc-Ketis Z, Vanden Bussche P, Rochfort A, Emaus C, Eriksson T, Kersnik J. Teaching quality improvement in family medicine. Educ Prim Care 2012; 23: 378-81. 11. Gordon P, Tomasa L, Kerwin J. ACGME outcomes project: selling our expertise. Fam Med 2004; 36: 164-7. 12. Tomolo AM, Lawrence RH, Watts B, Augustine S, Aron DC, Singh MK. Pilot study evaluating a

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Measures for Improving the Quality of Health Care

: A Practical Approach to Enhancing Organizational Performance (2 nd Edition). Jossey Bass, San Francisco, 2009. Deming WE. The New Economics for Industry, Government, and Education. Cambridge, MA: The MIT Press; 2000. Jam Mainz Defining and classifying clinical indicators for quality improvement. International Journal for Quality in Health Care 2003; 15(6): 523-30.

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A Six Sigma Trial For Reduction of Error Rates in Pathology Laboratory

Abstract

Objective: A major target of quality assurance is the minimization of error rates in order to enhance patient safety. Six Sigma is a method targeting zero error (3.4 errors per million events) used in industry. The five main principles of Six Sigma are defining, measuring, analysis, improvement and control. Using this methodology, the causes of errors can be examined and process improvement strategies can be identified. The aim of our study was to evaluate the utility of Six Sigma methodology in error reduction in our pathology laboratory.

Material and Method: The errors encountered between April 2014 and April 2015 were recorded by the pathology personnel. Error follow-up forms were examined by the quality control supervisor, administrative supervisor and the head of the department. Using Six Sigma methodology, the rate of errors was measured monthly and the distribution of errors at the preanalytic, analytic and postanalytical phases was analysed. Improvement strategies were reclaimed in the monthly intradepartmental meetings and the control of the units with high error rates was provided.

Results: Fifty-six (52.4%) of 107 recorded errors in total were at the pre-analytic phase. Forty-five errors (42%) were recorded as analytical and 6 errors (5.6%) as post-analytical. Two of the 45 errors were major irrevocable errors. The error rate was 6.8 per million in the first half of the year and 1.3 per million in the second half, decreasing by 79.77%.

Conclusion: The Six Sigma trial in our pathology laboratory provided the reduction of the error rates mainly in the pre-analytic and analytic phases.

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Measuring quality in primary healthcare – opportunities and weaknesses

1 Introduction High quality primary care is essential for all stakeholders, e.g. patients, professionals and local and national healthcare authorities. The relatively easy access to data from electronic patient records, which can be combined with information collected from other sources, has made it common to use this type of data both for professional quality improvement and for payment systems like pay-for-performance ( 1 ). In recent years, the use of quality indicators in pay-for-performance systems has increased ( 2 , 3 ). General practitioners (GPs

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Getting ready for fieldwork education! – Creation of a skill profile for fieldwork educators in occupational therapy / Fit für die Praktikumsanleitung? – Erstellung eines Anforderungsprofils für ergotherapeutische Praxislehrende

Abstract

Owing to ongoing changes in the working world and the resulting changing requirements of university graduates, requirements for teachers are continuously changing. Although this is currently being taken into account at universities, there is a need to take action in the area of fieldwork education.

The aim was to create a skill profile for fieldwork educators in occupational therapy, thus providing a basis for fieldwork educators, universities, professional associations, and employers. This reflects on existing measures and generates new measures to facilitate quality improvement in the area of fieldwork education.

Requirements were evaluated in two focus groups with a total of 14 practical training experts. Data were analysed within the scope of a qualitative content analysis and summarized in one profile.

A total of 18 professional, methodical, social, and personal requirements were identified. Fieldwork educators are able to organise, take responsibility, have expertise, and prepare contents adapted to the needs of individual students. They guide, supervise, give feedback to students in a formative way, thereby assessing and supporting their personal development. Moreover, as communicators, they have a stable personality, are open for further development, flexible, and reflective.

In order to meet these requirements, fieldwork educators must be fully committed. Moreover, the professional association needs to create a role model and provide task-specific cross-university training. It also requires the support of universities who are called upon to increase networking and communication with all parties involved and the support of the employers who need to provide additional time resources.

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The development of a consensus definition for healthcare improvement science (HIS) in seven European countries: A consensus methods approach

1 Introduction Improving healthcare quality has become a priority over the past years ( 1 ). While much of quality improvement work is unscientific ( 2 ), the adoption of a more scientific approach to improvement could enhance the ability of health systems to provide high-quality care and use their resources optimally ( 3 ). Healthcare improvement science (HIS) represents ‘the combined and unceasing efforts of everyone – healthcare professionals, patients and their families, researchers, payers, planners and educators – to make the changes that will lead to

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The application of “the patient satisfaction assessment” as a method for assessing hospital management efficency

, Sikora T. Factors shaping the customer satisfaction and the benefits of measuring customer satisfaction in the process of quality improvement. In: T. Sikora (ed). Quality management – Improvement of the organization, vol. 1. Cracow: Publishing House of the University of Economics in Krakow; 2010. p.202-13. 6. Regulation of the Minister of Health of November 10 th , 2006 on the requirements that should be met in terms of professional and sanitary premises and facilities of the healthcare facility. Journal of Laws No. 213, item 1568 as amended. 7. Maksimowicz

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The Effect of Sociodemographic Factors on the Patient Satisfaction with Health Care System

Health Systems and Policies; 2008: 2. 4. Pencheon D, Guest C, Melzer D, Muir Gray JA. Oxford Handbook of Public Health Practice. Second edition. Oxford: Oxford University Press, 2006. 5. Ayanian JZ and Markel H. Donabedian’s Lasting Framework for Health Care Quality. N Engl J Med. 2016; 21: 375(3): 205-207. DOI: 10.1056/NEJMp1605101 6. Mainz J. Defining and classifying clinical indicators for quality improvement. Int J Qual Health Care. 2003; 15(6): 523-530. 7. Al-Abri R and Al-Balushi A. Patient Satisfaction Survey as a Tool Towards Quality

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Assessment of the contribution of calcium and vitamin D in the diet of the elderly

malnutrition in the older adult: A quality improvement project using a standardised nutritional tool. J. Community Health Nurs. 2015;32:1-11. 9. Cierniak-Piotrowska M, Marciniak G, Stańczak J. Statystyka zgonów i umieralności z powodu chorób układu krążenia. Główny Urząd Statystyczny; 2016. [stat.gov.pl/obszary-tematyczne/ludnosc/ludnosc/statystyka-zgonow-i-umieralnosci-z-powodu-chorob-ukladu-krazenia,22,1.html.] 10. Weaver CM, Alexander DD, Boushey CJ, et al. Calcium plus vitamin D supplementation and risk of fractures: an updated meta-analysis from the National

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