@Article{info:doi/10.2196/44037,
author="Bernstein, Sean
and Gilson, Sarah
and Zhu, Mengqi
and Nathan, Aviva G
and Cui, Michael
and Press, Valerie G
and Shah, Sachin
and Zarei, Parmida
and Laiteerapong, Neda
and Huang, Elbert S",
title="Diabetes Life Expectancy Prediction Model Inputs and Results From Patient Surveys Compared With Electronic Health Record Abstraction: Survey Study",
journal="JMIR Aging",
year="2023",
month="Nov",
day="9",
volume="6",
pages="e44037",
keywords="diabetes mellitus; patient-reported outcome measure; life expectancy; diabetes; diabetic; predict; model; mortality; chart review; chart abstraction; patient chart; prediction model; patient-reported outcome",
abstract="Background: Prediction models are being increasingly used in clinical practice, with some requiring patient-reported outcomes (PROs). The optimal approach to collecting the needed inputs is unknown. Objective: Our objective was to compare mortality prediction model inputs and scores based on electronic health record (EHR) abstraction versus patient survey. Methods: Older patients aged ≥65 years with type 2 diabetes at an urban primary care practice in Chicago were recruited to participate in a care management trial. All participants completed a survey via an electronic portal that included items on the presence of comorbid conditions and functional status, which are needed to complete a mortality prediction model. We compared the individual data inputs and the overall model performance based on the data gathered from the survey compared to the chart review. Results: For individual data inputs, we found the largest differences in questions regarding functional status such as pushing/pulling, where 41.4{\%} (31/75) of participants reported difficulties that were not captured in the chart with smaller differences for comorbid conditions. For the overall mortality score, we saw nonsignificant differences (P=.82) when comparing survey and chart-abstracted data. When allocating participants to life expectancy subgroups (<5 years, 5-10 years, >10 years), differences in survey and chart review data resulted in 20{\%} having different subgroup assignments and, therefore, discordant glucose control recommendations. Conclusions: In this small exploratory study, we found that, despite differences in data inputs regarding functional status, the overall performance of a mortality prediction model was similar when using survey and chart-abstracted data. Larger studies comparing patient survey and chart data are needed to assess whether these findings are reproduceable and clinically important. ",
issn="2561-7605",
doi="10.2196/44037",
url="https://aging.jmir.org/2023/1/e44037",
url="https://doi.org/10.2196/44037",
url="http://www.ncbi.nlm.nih.gov/pubmed/37962566"
}