Developing a Parsimonious Model for Predicting Completion of Advance Directives
Autor: | Karen S. Ward, Mary Judy Campbell, Norman L. Weatherby, M. Jo Edwards |
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Rok vydání: | 2007 |
Předmět: |
Male
Gerontology Health Knowledge Attitudes Practice Palliative care Decision Making MEDLINE Nursing assessment Health literacy Models Psychological Nurse's Role Advance Care Planning Patient Education as Topic Predictive Value of Tests Surveys and Questionnaires Humans Nursing Assessment General Nursing Aged Multinomial logistic regression Aged 80 and over Self-efficacy Chi-Square Distribution Middle Aged Tennessee Self Efficacy Logistic Models Nursing Evaluation Research Educational Status Patient Compliance Female Psychology End-of-life care Chi-squared distribution |
Zdroj: | Journal of Nursing Scholarship. 39:165-171 |
ISSN: | 1547-5069 1527-6546 |
DOI: | 10.1111/j.1547-5069.2007.00162.x |
Popis: | Purpose: To develop a theory-based model to assist nurses in promoting self-determination for completion of an advance directive (AD). Design and Methods: This descriptive study included data from a convenience sample of 118 community-dwelling older adults in Tennessee, USA. Multinomial logistic regression was used to estimate the influence of 15 factors and covariates on completion of an AD. Findings: The parsimonious model had three significant factors: receiving AD information; attitude index; and health literacy score. Participants were highly likely to complete ADs if they had positive attitudes toward ADs and had received information on ADs. As health literacy increased, the likelihood that participants completed ADs was reduced. This model explained 25% of the variation in AD completion. Chi-square fit for the parsimonious model was highly significant. Conclusions: Of 15 factors and covariates that could influence completion of an AD, only receiving information about ADs, having positive attitudes toward ADs, and health literacy significantly affected the likelihood of participants completing ADs. More study is needed on this model and how nurses can assist patients with end-of-life decisions. |
Databáze: | OpenAIRE |
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