TY  - JOUR
AU  - Bernstein, Sean
AU  - Gilson, Sarah
AU  - Zhu, Mengqi
AU  - Nathan, Aviva G
AU  - Cui, Michael
AU  - Press, Valerie G
AU  - Shah, Sachin
AU  - Zarei, Parmida
AU  - Laiteerapong, Neda
AU  - Huang, Elbert S
PY  - 2023
DA  - 2023/11/9
TI  - Diabetes Life Expectancy Prediction Model Inputs and Results From Patient Surveys Compared With Electronic Health Record Abstraction: Survey Study
JO  - JMIR Aging
SP  - e44037
VL  - 6
KW  - diabetes mellitus
KW  - patient-reported outcome measure
KW  - life expectancy
KW  - diabetes
KW  - diabetic
KW  - predict
KW  - model
KW  - mortality
KW  - chart review
KW  - chart abstraction
KW  - patient chart
KW  - prediction model
KW  - patient-reported outcome
AB  - 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. 
SN  - 2561-7605
UR  - https://aging.jmir.org/2023/1/e44037
UR  - https://doi.org/10.2196/44037
UR  - http://www.ncbi.nlm.nih.gov/pubmed/37962566
DO  - 10.2196/44037
ID  - info:doi/10.2196/44037
ER  -