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Bernstein S, Gilson S, Zhu M, Nathan AG, Cui M, Press VG, Shah S, Zarei P, Laiteerapong N, Huang ES. Diabetes Life Expectancy Prediction Model Inputs and Results From Patient Surveys Compared With Electronic Health Record Abstraction: Survey Study. JMIR Aging 2023; 6:e44037. [PMID: 37962566 PMCID: PMC10662674 DOI: 10.2196/44037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 06/13/2023] [Accepted: 09/19/2023] [Indexed: 11/15/2023] Open
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.
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Affiliation(s)
- Sean Bernstein
- Rush University Medical Center, ChicagoIL, United States
| | - Sarah Gilson
- Section of General Internal Medicine, Department of Medicine, University of Chicago, ChicagoIL, United States
| | - Mengqi Zhu
- Section of General Internal Medicine, Department of Medicine, University of Chicago, ChicagoIL, United States
| | - Aviva G Nathan
- Section of General Internal Medicine, Department of Medicine, University of Chicago, ChicagoIL, United States
| | - Michael Cui
- Rush University Medical Center, ChicagoIL, United States
| | - Valerie G Press
- Section of General Internal Medicine, Department of Medicine, University of Chicago, ChicagoIL, United States
| | - Sachin Shah
- Section of General Internal Medicine, Department of Medicine, University of Chicago, ChicagoIL, United States
| | - Parmida Zarei
- College of Medicine, University of Illinois Chicago, ChicagoIL, United States
| | - Neda Laiteerapong
- Section of General Internal Medicine, Department of Medicine, University of Chicago, ChicagoIL, United States
| | - Elbert S Huang
- Section of General Internal Medicine, Department of Medicine, University of Chicago, ChicagoIL, United States
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Chen JA, Glass JE, Bensley KMK, Goldberg SB, Lehavot K, Williams EC. Racial/ethnic and gender differences in receipt of brief intervention among patients with unhealthy alcohol use in the U.S. Veterans Health Administration. J Subst Abuse Treat 2020; 119:108078. [PMID: 32736926 DOI: 10.1016/j.jsat.2020.108078] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 06/18/2020] [Accepted: 07/08/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Brief intervention (BI) for unhealthy alcohol use is a top prevention priority for adults in the U.S, but rates of BI receipt vary across patients. We examine BI receipt across race/ethnicity and gender in a national cohort of patients from the Department of Veterans Affairs (VA)-the largest U.S. integrated healthcare system and a leader in implementing preventive care for unhealthy alcohol use. METHODS Among 779,041 VA patients with documented race/ethnicity and gender who screened positive for unhealthy alcohol use (AUDIT-C score ≥ 5) between 10/1/09 and 5/30/13, we fit Poisson regression models to estimate the predicted prevalence of BI (EHR-documented advice to reduce or abstain from drinking) across race/ethnicity and gender. RESULTS Rates of BI were lowest among Black women (67%), Black men (68%), and Asian/Pacific Islander women (68%), and highest among white men (75%), Hispanic men (75%), and Asian/Pacific Islander men (75%). A significant race/ethnicity by gender interaction indicated that the associations between race/ethnicity and gender with BI depended on the other factor. Gender differences were largest among Asian/Pacific Islander patients and were nonsignificant among American Indian/Alaska Native patients. Adjustment for covariates not expected to be on the causal pathway (e.g., age, year of AUDIT-C screen) slightly attenuated but did not change the direction of results. CONCLUSIONS Receipt of BI for unhealthy alcohol use varied by race/ethnicity and gender, and the impact of one factor depended on the other. Black women, Black men, and Asian/Pacific Islander women had the lowest rates of receiving recommended alcohol-related care. We found these disparities in a healthcare system that has implemented universal alcohol screening and incentivized BI for all patients with unhealthy alcohol use, suggesting that reducing disparities in alcohol-related care may require targeted interventions.
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Affiliation(s)
- Jessica A Chen
- Health Services Research & Development (HSR&D), Seattle-Denver Center of Innovation for Veteran-Centered & Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, 1660 S. Columbian Way, S-152, Seattle, WA 98108, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, 1959 NE Pacific St., Box 356560, Seattle, WA 98195-6560, USA.
| | - Joseph E Glass
- Department of Psychiatry and Behavioral Sciences, University of Washington, 1959 NE Pacific St., Box 356560, Seattle, WA 98195-6560, USA; Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA; Department of Health Services, University of Washington, 1959 NE Pacific St., Box 357660, Seattle, WA 98195-7660, USA.
| | - Kara M K Bensley
- Alcohol Research Group, Public Health Institute, 6001 Shellmound St, Suite 450, Emeryville, CA 94608, USA; Department of Public Health, Bastyr University, 14500 Juanita Dr NE, Kenmore, WA 98028, USA.
| | - Simon B Goldberg
- Department of Counseling Psychology, University of Wisconsin - Madison, 335 Education Building, 1000 Bascom Mall, Madison, WI, 53706, USA.
| | - Keren Lehavot
- Health Services Research & Development (HSR&D), Seattle-Denver Center of Innovation for Veteran-Centered & Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, 1660 S. Columbian Way, S-152, Seattle, WA 98108, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, 1959 NE Pacific St., Box 356560, Seattle, WA 98195-6560, USA; Department of Health Services, University of Washington, 1959 NE Pacific St., Box 357660, Seattle, WA 98195-7660, USA.
| | - Emily C Williams
- Health Services Research & Development (HSR&D), Seattle-Denver Center of Innovation for Veteran-Centered & Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, 1660 S. Columbian Way, S-152, Seattle, WA 98108, USA; Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA; Department of Health Services, University of Washington, 1959 NE Pacific St., Box 357660, Seattle, WA 98195-7660, USA.
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