942 resultados para Quality analysis
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"Grant no. R806156."
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Mode of access: Internet.
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Cover title: Long term care research and demonstration projects, final reports, 1986.
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Cover title.
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Bibliography: p. 30-1 to 30-4.
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Includes bibliographical references.
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"October 1979."
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"ILENR/RE-EA-89/07."
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Mode of access: Internet.
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Vol. 7: second ed., 1975.
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Objective: To audit effective quality assurance methods to monitor outcomes following paediatric cardiac surgery at a single institution. Methods: All patients undergoing cardiac surgery from January 1996 to December 2001 were enrolled prospectively. Patients were stratified by complexity of surgical procedure into four groups, with Category 4 being the most complex procedure. Outcome measures included death, length of admission and morbidity from complications. Results: A total of 1815 patients underwent 1973 surgical procedures. Of these, 1447 (73.3%) were cardiopulmonary bypass procedures, and 543 (27.5%) were more complex (Category 3 and 4) procedures. Median patient age was 3.5 years (range, 1 day-20 years) and patient weight 15.0 kg (range, 900 g to 90 kg). Sixty-six patients (3.6%) died during the study period. Of the procedures in 1996, 22.7% were classified as complex compared with 29.2% of procedures in 2001. The annual surgical mortality ranged from 1.9-4.7% (P=0.20), and when mortality was adjusted for complexity of surgery, there was no significant yearly variation in the mortality rate (P=0.57). Analysis of individual surgeon's results showed no significant difference in the mortality rate by complexity of surgery performed (P=0.90). Mean ventilation times did not change significantly over time (P=0.79). The yearly incidence of significant neurological complications ranged from 0.6% to 4.5% and the incidence of arrhythmias from 4.2% to 8.0%. No difference was detected between the years. Conclusions: Stratifying complexity of surgery proved valuable in monitoring surgical outcomes and detecting differences in performance over time as large subgroups were created for analysis.
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Purpose - The purpose of this paper is to develop an integrated quality management model that identifies problems, suggests solutions, develops a framework for implementation and helps to evaluate dynamically healthcare service performance. Design/methodology/approach - This study used the logical framework analysis (LFA) to improve the performance of healthcare service processes. LFA has three major steps - problems identification, solution derivation, and formation of a planning matrix for implementation. LFA has been applied in a case-study environment to three acute healthcare services (Operating Room utilisation, Accident and Emergency, and Intensive Care) in order to demonstrate its effectiveness. Findings - The paper finds that LFA is an effective method of quality management of hospital-based healthcare services. Research limitations/implications - This study shows LFA application in three service processes in one hospital. This very limited population sample needs to be extended. Practical implications - The proposed model can be implemented in hospital-based healthcare services in order to improve performance. It may also be applied to other services. Originality/value - Quality improvement in healthcare services is a complex and multi-dimensional task. Although various quality management tools are routinely deployed for identifying quality issues in healthcare delivery, they are not without flaws. There is an absence of an integrated approach, which can identify and analyse issues, provide solutions to resolve those issues, develop a project management framework to implement those solutions. This study introduces an integrated and uniform quality management tool for healthcare services. © Emerald Group Publishing Limited.
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It is still debatable whether scientific diversity is a virtue or a disadvantage for the development of a discipline. Nonetheless, diversity among scientists with respect to their journal quality perceptions plays an important role in hiring and promotion decisions. In this article we examine the degree of diversity within economics based on the journal quality perceptions of 2,103 AEA economists worldwide. Specifically, we empirically test for factors that might explain differences in an economist's journal quality perceptions. These factors include an economist's geographic origin, school of thought, journal affiliation, field of specialization and research orientation. Indeed, we find that a significant degree of diversity in journal quality perceptions exists between economists that belong in different subgroups. These results might explain the frequent debates in tenure and promotion committees where journal standings are used for the evaluation of a researcher's output.