Patterns of relapse and associated cost burden in schizophrenia patients receiving atypical antipsychotics

To identify relapse in schizophrenia and the main cost drivers of relapse using a cost-based algorithm. Multi-state Medicaid data (1997-2010) were used to identify adults with schizophrenia receiving atypical antipsychotics (AP). The first schizophrenia diagnosis following AP initiation was defined...

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Published inJournal of medical economics Vol. 16; no. 11; p. 1290
Main Authors Lafeuille, Marie-Hélène, Gravel, Jonathan, Lefebvre, Patrick, Fastenau, John, Muser, Erik, Doshi, Dilesh, Duh, Mei Sheng
Format Journal Article
LanguageEnglish
Published England 01.11.2013
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ISSN1941-837X
1369-6998
1941-837X
DOI10.3111/13696998.2013.841705

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Abstract To identify relapse in schizophrenia and the main cost drivers of relapse using a cost-based algorithm. Multi-state Medicaid data (1997-2010) were used to identify adults with schizophrenia receiving atypical antipsychotics (AP). The first schizophrenia diagnosis following AP initiation was defined as the index date. Relapse episodes were identified based on (1) weeks during the ≥2 years post-index associated with high cost increase from baseline (12 months before the index date) and (2) high absolute weekly cost. A compound score was then calculated based on these two metrics, where the 54% of patients associated with higher cost increase from baseline and higher absolute weekly cost were considered relapsers. Resource use and costs of relapsers during baseline and relapse episodes were compared using incidence rate ratios (IRRs) and bootstrap methods. In total, 9793 relapsers were identified with a mean of nine relapse episodes per patient. Duration of relapse episodes decreased over time (mean [median]; first episode: 34 [4] weeks; remaining episodes: 8 [1] weeks). Compared with baseline, resource utilization during relapse episodes was significantly greater in pharmacy, outpatient, and institutional visits (hospitalizations, emergency department visits), with IRRs ranging from 1.9-2.4 (all p < 0.0001). Correspondingly, relapse was associated with a mean (95% CI) incremental cost increase of $2459 ($2384-$2539) per week, with institutional visits representing 53% of the increase. Relapsers and relapse episodes were identified using a cost-based algorithm, as opposed to a more clinical definition of relapse. In addition, their identification was based on the assumption from literature that ~54% of schizophrenia patients will experience at least one relapse episode over a 2-year period. Significant cost increases were observed with relapse in schizophrenia, driven mainly by institutional visits.
AbstractList To identify relapse in schizophrenia and the main cost drivers of relapse using a cost-based algorithm. Multi-state Medicaid data (1997-2010) were used to identify adults with schizophrenia receiving atypical antipsychotics (AP). The first schizophrenia diagnosis following AP initiation was defined as the index date. Relapse episodes were identified based on (1) weeks during the ≥2 years post-index associated with high cost increase from baseline (12 months before the index date) and (2) high absolute weekly cost. A compound score was then calculated based on these two metrics, where the 54% of patients associated with higher cost increase from baseline and higher absolute weekly cost were considered relapsers. Resource use and costs of relapsers during baseline and relapse episodes were compared using incidence rate ratios (IRRs) and bootstrap methods. In total, 9793 relapsers were identified with a mean of nine relapse episodes per patient. Duration of relapse episodes decreased over time (mean [median]; first episode: 34 [4] weeks; remaining episodes: 8 [1] weeks). Compared with baseline, resource utilization during relapse episodes was significantly greater in pharmacy, outpatient, and institutional visits (hospitalizations, emergency department visits), with IRRs ranging from 1.9-2.4 (all p < 0.0001). Correspondingly, relapse was associated with a mean (95% CI) incremental cost increase of $2459 ($2384-$2539) per week, with institutional visits representing 53% of the increase. Relapsers and relapse episodes were identified using a cost-based algorithm, as opposed to a more clinical definition of relapse. In addition, their identification was based on the assumption from literature that ~54% of schizophrenia patients will experience at least one relapse episode over a 2-year period. Significant cost increases were observed with relapse in schizophrenia, driven mainly by institutional visits.
Author Gravel, Jonathan
Lafeuille, Marie-Hélène
Lefebvre, Patrick
Duh, Mei Sheng
Muser, Erik
Doshi, Dilesh
Fastenau, John
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Snippet To identify relapse in schizophrenia and the main cost drivers of relapse using a cost-based algorithm. Multi-state Medicaid data (1997-2010) were used to...
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StartPage 1290
SubjectTerms Adolescent
Adult
Aged
Algorithms
Antipsychotic Agents - economics
Antipsychotic Agents - therapeutic use
Female
Health Expenditures - statistics & numerical data
Health Services - economics
Health Services - utilization
Humans
Incidence
Insurance Claim Review - statistics & numerical data
Male
Medicaid
Middle Aged
Recurrence
Retrospective Studies
Schizophrenia - drug therapy
Schizophrenia - economics
United States
Young Adult
Title Patterns of relapse and associated cost burden in schizophrenia patients receiving atypical antipsychotics
URI https://www.ncbi.nlm.nih.gov/pubmed/24006903
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