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 in | Journal of medical economics Vol. 16; no. 11; p. 1290 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
01.11.2013
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1941-837X 1369-6998 1941-837X |
| DOI | 10.3111/13696998.2013.841705 |
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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. |
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| 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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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24006903$$D View this record in MEDLINE/PubMed |
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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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| 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 |
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