Predictive Ability of an Illness Severity Measure: Implications for Nursing Research

Title

Predictive Ability of an Illness Severity Measure: Implications for Nursing Research

Creator

Lindley LC; Fortney CA; Cozad MJ

Publisher

Journal of Nursing Measurement

Date

2021

Subject

pediatric; end-of-life; complex chronic conditions; infant; illness severity; measurement testing

Description

BACKGROUND AND PURPOSE: Illness severity among children with life-limiting illnesses is measured with the pediatric complex chronic conditions (CCC) measure. Developed in 2000/2001, it was revised in 2014 to include infant-specific categories. METHODS: Discrimination, calibration, accuracy, and validation tests were used to examine the predictive performance of the measures. RESULTS: Among the 10,175 infants in the analysis, both measures poorly discriminated-palliative care consultation (C-statistics 0.6396 vs. C-statistics 0.5905) and any inpatient procedure (C-statistics 0.6101 vs. C-statistics 0.5160). The Hosmer-Lemeshow goodness-of-fit tests revealed good calibration for both measures. The original measure was more accurate in predicting end-of-life outcomes-palliative care consultation (Brier Score 0.3892 vs. 0.7787) and any inpatient procedures (Brier Score 0.3115 vs. 0.4738). CONCLUSIONS: The revised measure did not perform any better than the original in predicting end-of-life outcomes among infants.

Rights

Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).

Citation List Month

October 2021 List

Collection

Citation

Lindley LC; Fortney CA; Cozad MJ, “Predictive Ability of an Illness Severity Measure: Implications for Nursing Research,” Pediatric Palliative Care Library, accessed May 23, 2022, https://pedpalascnetlibrary.omeka.net/items/show/17675.

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