New PDF release: Analysis of Waiting-Time Data in Health Services Research

By Boris Sobolev

ISBN-10: 0387764216

ISBN-13: 9780387764214

Why a few sufferers wait longer than others continues to be a big query. This e-book is a reference for healthiness companies researchers trying to find statistical instruments with which to review ready occasions. The e-book bargains exact assurance of statistical thoughts and techniques for the research and interpretation of waiting-time facts. It offers research from well-being providers examine point of view, instead of operations administration, and encompasses a selection of examples.

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Extra resources for Analysis of Waiting-Time Data in Health Services Research

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32 3 Waits and outcomes: What should be reported? 2 Proportions and odds Definition Proportions summarize the fraction of patients who experience a certain event. For instance, the weekly proportion of patients who were admitted, the proportion of patients who underwent surgery within target access times (TAT), and the proportion of patients who died before surgery are important indicators used to characterize access to elective surgery [114, 115, 116]. Although the proportion is the common measure for the probability of an event, an alternative is the odds of the event, which is defined as the ratio of the expected number of times that the event will occur to the expected number of times it will not occur [4].

2 Access to coronary artery bypass grafting surgery registration on surgical wait list 20 2 Waiting-time data used in this book four additional variables are needed for 1 year of follow-up. In contrast, the person-episode record has for each patient only fields for event identification number and event date. The combination of patient identifier and sequential event number uniquely determines the record related to a certain event. Registry records also provided information on each patient’s age, sex, urgency status, coronary anatomy, and hospital at the time of registration on the wait list.

Although we consider only two types of events, the primary event and the competing event, events other than the primary event may be combined into the risk of a single competing event [91]. 32 3 Waits and outcomes: What should be reported? 2 Proportions and odds Definition Proportions summarize the fraction of patients who experience a certain event. For instance, the weekly proportion of patients who were admitted, the proportion of patients who underwent surgery within target access times (TAT), and the proportion of patients who died before surgery are important indicators used to characterize access to elective surgery [114, 115, 116].

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Analysis of Waiting-Time Data in Health Services Research by Boris Sobolev


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