Skip to content

Journal of Nursing Measurement Vol 28 Issue 1

Journal of Nursing Measurement Vol 28 Issue 1

Methods: The sample consisted of 12,582 people with an intellectual or developmental disability residing in Georgia (U.S.). Data were analyzed using survival analysis (Kaplan-Meier estimate and Cox regression) and a binary logistic regression.

Results: All models supported the prognostic value of the six-level health risk classification. The Kaplan-Meier procedure showed clear separation among functions. The Cox proportional hazard regression revealed that hazard is inversely related to the health risk level, even after controlling for potential confounding by gender, ethnicity, and race.

Conclusions: The HRST can predict mortality. Therefore, it can serve as a basis for establishing healthcare needs and determining nursing care acuity.

Press Inquiries

Lorene Reagan, RN, MS
Director of Public Relations | Lorene (at) ReplacingRisk.com