ExplanationIntermediate
What is the purpose of prognostic validity in nursing diagnoses and what statistical techniques are used to establish it?
Prognostic validity aims to identify defining characteristics that indicate the prognosis of a nursing diagnosis, based on diagnostic cohort studies that track patients over time. Statistical techniques used include measures of relative risk, incidence coefficients, survival rates, and multivariate models such as generalized estimation equations and Cox proportional hazards models.
Key points
- Prognostic validity relies on diagnostic cohort studies in which defining characteristics are evaluated and recorded at multiple points during follow-up.
- The length of follow-up depends on whether the diagnosis has an acute or chronic clinical trajectory, ranging from days to years.
- Typical statistical analyses include measures of relative risk, incidence coefficients, and survival rates.
- Multivariate methods, such as generalized estimation equations and Cox proportional hazards models, may also be used to establish prognostic markers.
Source:Nursing Diagnoses: Definitions and Classification· Clinical Application: Data Analysis to Determine Appropriate Nursing Diagnosis· p. 74
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Nursing Diagnoses: Definitions and Classification
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Twelfth Edition 2021–2023 · Thieme Medical Publishers, Inc.