Evidence map›Paper›PMID 30323635›Full record

ArticleClinicoEconomics and outcomes research : CEOR2018

Does knowledge of patient non-compliance change prescribing behavior in the real world? A claims-based analysis of patients with serious mental illness.

Jason Shafrin, Katalin Bognar, Katie Everson, Michelle Brauer, Darius N Lakdawalla, Felicia M Forma

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Article in ClinicoEconomics and outcomes research : CEOR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jason ShafrinPolicy and Economics, Precision Health Economics, Los Angeles, CA, USA, jason.shafrin@precisionhealtheconomics.com.
Katalin BognarPolicy and Economics, Precision Health Economics, Los Angeles, CA, USA, jason.shafrin@precisionhealtheconomics.com.
Katie EversonPolicy and Economics, Precision Health Economics, Los Angeles, CA, USA, jason.shafrin@precisionhealtheconomics.com.
Michelle BrauerPolicy and Economics, Precision Health Economics, Boston, MA, USA.
Darius N LakdawallaSchool of Pharmacy, Sol Price School of Public Policy, Leonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA.
Felicia M FormaHealth Economics and Outcomes Management, Otsuka Pharmaceutical Development & Commercialization, Inc., Princeton, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNew digital technologies offer providers the promise of more accurately tracking patients' medication adherence. It is unclear, however, whether access to such information will affect provider treatment decisions in the real world.

methodsUsing prescriber-reported information on patient non-compliance from health insurance claims data between 2008 and 2014, we examined whether prescribers' knowledge of non-compliance was associated with different prescribing patterns for patients with serious mental illness (SMI). We examined patients who initiated an oral atypical antipsychotic, but were later objectively non-adherent to this treatment, defined as proportion of days covered (PDC) <0.8. We examined how a physician's awareness of patient non-compliance (ICD-9 diagnosis code: V15.81) was correlated with the physician's real-world treatment decisions for that patient. Treatment decisions studied included the share of patients who increased antipsychotic dose, augmented treatment, switched their antipsychotic, or used a long-acting injectable (LAI).

resultsAmong the 286,249 patients with SMI who initiated an antipsychotic and had PDC <0.8, 4,033 (1.4%) had documented non-compliance. When prescribers documented non-compliance, patients were more likely to be switched to another antipsychotic (32.8% vs 24.7%,

conclusionAmong SMI patients with documented non-compliance, the frequency of dose, medication switches, and LAI use were higher and augmentation was lower compared to patients without documented non-compliance. Access to adherence information may help prescribers more rapidly switch ineffective medications as well as avoid unnecessary medication augmentation.

Indexed as

adherenceprescribing patternsserious mental illness

Identifiers

PMID30323635
PMCPMC6173173

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.