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. 2023 Oct 1;183(10):1172-1175.
doi: 10.1001/jamainternmed.2023.3307.

Clinician Response to Patient Medication Prices Displayed in the Electronic Health Record

Anna D Sinaiko  1 , Caroline E Sloan  2 , Mark J Soto  1 , Olivia Zhao  3 , Chen-Tan Lin  4   5 , Foster R Goss  4   5
Affiliations

Clinician Response to Patient Medication Prices Displayed in the Electronic Health Record

Anna D Sinaiko et al. JAMA Intern Med. .
No abstract available

Plain language summary

This cross-sectional study examines whether clinicians changed their medication orders after seeing the patient’s out-of-pocket drug costs in the electronic health record.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Sloan reported receiving a career development grant from the National Institute on Aging during the conduct of the study. Dr Goss reported receiving consulting fees from Dispatch Health and Credo Health. No other disclosures were reported.

Figures

Figure.
Figure.. Adjusted Frequency of Medication Order Switches by Potential Cost Savings
Potential cost savings for all medication orders (A; n = 137 860), asthma and COPD medication orders (B; n = 3348), antihyperglycemic medication orders (C; n = 8049), cardiovascular medication orders (D; n = 36 123), and psychotherapeutic medication orders (E; n = 24 553). Results were estimated probabilities from linear regression with covariates of potential cost savings × medication category interactions, patient age, sex, race and ethnicity, insurance type, median household income quartile, rurality, the number of medications ordered for the patient in the encounter, and whether a patient had a prior diagnosis of hypertension, congestive heart failure, diabetes, hyperlipidemia, coronary artery disease, osteoporosis, chronic kidney disease, depression, dementia, cancer, arthritis, asthma, COPD, atrial fibrillation, or stroke. Models included clinician and month and year fixed effects, and SEs were clustered on physician. P values were corrected for multiple comparisons using the Holm-Bonferroni correction. COPD indicates chronic obstructive pulmonary disease.
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References

    1. The Kaiser Family Foundation and Health Research Educational Trust . 2021 Employer Health Benefits Survey. Kaiser Family Foundation; 2021.
    1. Zhou T, Liu P, Dhruva SS, et al. . Assessment of hypothetical out-of-pocket costs of guideline-recommended medications for the treatment of older adults with multiple chronic conditions, 2009 and 2019. JAMA Intern Med. 2022;182(2):185-195. doi:10.1001/jamainternmed.2021.7457 - DOI - PMC - PubMed
    1. Herrick CJ, Humble S, Hollar L, et al. . Cost-related medication non-adherence, cost coping behaviors, and cost conversations among individuals with and without diabetes. J Gen Intern Med. 2021;36(9):2867-2869. doi:10.1007/s11606-020-06176-4 - DOI - PMC - PubMed
    1. Goldfarb N, Weston C, Hartmann CW, et al. . Impact of appropriate pharmaceutical therapy for chronic conditions on direct medical costs and workplace productivity: a review of the literature. Dis Manag. 2004;7(1):61-75. doi:10.1089/109350704322919005 - DOI - PubMed
    1. Schiavoni KH, Lehmann LS, Guan W, Rosenthal M, Sequist TD, Chien AT. How primary care physicians integrate price information into clinical decision-making. J Gen Intern Med. 2017;32(1):81-87. doi:10.1007/s11606-016-3805-0 - DOI - PMC - PubMed

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