| Autor: |
Sean Bernstein, Sarah Gilson, Mengqi Zhu, Aviva Nathan, Michael Cui, Valerie G. Press, Sachin Shah, Parmida Zarei, Elbert S. Huang |
| Rok vydání: |
2022 |
| Popis: |
BACKGROUND Prediction models are increasingly utilized in clinical practice but the optimal approach to collecting the needed inputs is unknown. OBJECTIVE Our objective was to compare a mortality prediction model inputs and scores based on chart abstraction versus patient survey. METHODS Older patients with type 2 diabetes at an urban, Chicago primary care practice were recruited and the Lee Mortality Index was calculated from retrospective chart review and patient surveys. RESULTS We saw non-significant differences in mortality scores (p=0.61) and subsequent diabetes in older adult health status class recommendations (p=0.70) comparing chart abstraction to survey data. However, there were large differences in certain domains such as functional status and presence of disease. Differences in chart review and survey resulted in 20% having discordant diabetes recommendations. CONCLUSIONS Healthcare organizations should work to systematically and routinely collect PROs that are inputs for widely used prediction models. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
