Research in nursing & health
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Nurses and other health researchers are often concerned with infrequently occurring, repeatable, health-related events such as number of hospitalizations, pregnancies, or visits to a health care provider. Reports on the occurrence of such discrete events take the form of non-negative integer or count data. Because the counts of infrequently occurring events tend to be non-normally distributed and highly positively skewed, the use of ordinary least squares (OLS) regression with non-transformed data has several shortcomings. ⋯ The purpose of this article is to compare and contrast the use of these three methods for the analysis of infrequently occurring count data. The strengths, limitations, and special considerations of each approach are discussed. Data from the National Longitudinal Survey of Adolescent Health (AddHealth) are used for illustrative purposes.
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Randomized Controlled Trial Clinical Trial
Randomized study of stability and change in patients' advance directives.
Little is known about ethnic differences in understanding or using advance directives (ADs). Although health practitioners may presume AD intentions are durable over time, there is no supporting evidence. This randomized study intended to (a) examine differences between hospitalized Hispanic and non-Hispanic patients' AD preferences, (b) assess AD stability, and (c) discover if the Life Support Preferences Questionnaire (LSPQ) influences AD preferences. ⋯ However, non-Hispanics were more likely to change AD preferences. The LSPQ itself prompted change in AD preferences, delivering an educational effect with no specific educational intent. Change seen in patients' ADs, even over a brief interval, suggests revisiting AD preferences with patients and their families after hospitalization.