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      Medication adherence levels and differential use of mental-health services in the treatment of schizophrenia

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          Abstract

          Background

          Adherence to antipsychotics for schizophrenia is associated with favorable clinical outcomes. This study compared annual mental-health service utilization by recent medication adherence levels for patients treated for schizophrenia, and assessed whether adherence levels change from pre- to post-psychiatric hospitalization.

          Methods

          We analyzed data from a large prospective, non-interventional study of patients treated for schizophrenia in the United States, conducted between 7/1997 and 9/2003. Detailed mental-health resource utilization was systematically abstracted from medical records and augmented with patients' self report. Medication possession ratio (MPR) with any antipsychotic in the 6 months prior to enrollment was used to categorize patients as: adherent (MPR ≥ 80%, N = 1758), partially adherent (MPR ≥ 60% < 80%, N = 36), or non-adherent (MPR < 60%, N = 216). Group comparisons employed propensity score-adjusted bootstrap re-sampling methods with 1000 iterations, adjusting for baseline patient demographic and clinical characteristics identified a priori.

          Results

          Adherent patients had a lower rate of psychiatric hospitalization compared with partially adherent and non-adherent patients (p < 0.001) and were more likely than non-adherent to engage in group therapy, individual therapy, and medication management. Most patients (92.0%) who were adherent in the 6 months prior to hospital admission continued to be adherent 6 months following hospitalization. However, 75.0% of previously partially adherent became adherent, and 38.7% of previously non-adherent became adherent following hospitalization.

          Conclusion

          Adherence is associated with lower utilization of acute care services and greater engagement in outpatient mental-health treatment. Adherence is a potentially dynamic phenomenon, which may improve, at least temporarily, following patients' psychiatric hospitalizations.

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          Most cited references16

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          The positive and negative syndrome scale (PANSS) for schizophrenia.

          The variable results of positive-negative research with schizophrenics underscore the importance of well-characterized, standardized measurement techniques. We report on the development and initial standardization of the Positive and Negative Syndrome Scale (PANSS) for typological and dimensional assessment. Based on two established psychiatric rating systems, the 30-item PANSS was conceived as an operationalized, drug-sensitive instrument that provides balanced representation of positive and negative symptoms and gauges their relationship to one another and to global psychopathology. It thus constitutes four scales measuring positive and negative syndromes, their differential, and general severity of illness. Study of 101 schizophrenics found the four scales to be normally distributed and supported their reliability and stability. Positive and negative scores were inversely correlated once their common association with general psychopathology was extracted, suggesting that they represent mutually exclusive constructs. Review of five studies involving the PANSS provided evidence of its criterion-related validity with antecedent, genealogical, and concurrent measures, its predictive validity, its drug sensitivity, and its utility for both typological and dimensional assessment.
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            A rating scale for extrapyramidal side effects.

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              Adherence to treatment with antipsychotic medication and health care costs among Medicaid beneficiaries with schizophrenia.

              The authors' goal was to evaluate the relationship between adherence to treatment with antipsychotic medication and health expenditures. A secondary objective was to identify risk factors predictive of nonadherence. Data included Medicaid eligibility and claims data from 1998 to 2000 for San Diego County, Calif. Pharmacy records were used to assess adherence to treatment with antipsychotic medication according to the cumulative possession ratio (the number of days medications were available for consumption divided by the number of days subjects were eligible for Medi-Cal). Regression models were used to examine risk factors, hospitalizations, and costs associated with nonadherence, partial adherence, adherence, and excess fills of antipsychotic medication. Forty-one percent of Medicaid beneficiaries with schizophrenia were found to be adherent to treatment with their antipsychotic medications: 24% were nonadherent, 16% were partially adherent, and 19% were excess fillers. Rates of psychiatric hospitalization were lower for those who were adherent (14%) than for those who were nonadherent (35%), partially adherent (24%), or had excess fills (25%). Rates of medical hospitalization were lower for those who were adherent (7%) than for those who were nonadherent (13%) or had excess fills (12%). Those who were adherent had significantly lower hospital costs than the other groups; pharmacy costs were higher among those who were adherent than among those who were nonadherent or partially adherent and were highest for excess fillers. Total costs for excess fillers (14,044 US dollars) were substantially higher than total costs for any other group. Despite the widespread use of atypical antipsychotic medications, alarmingly high rates of both underuse and excessive filling of antipsychotic prescriptions were found in Medicaid beneficiaries with schizophrenia. The high rates of antipsychotic nonadherence and associated negative consequences suggest interventions on multiple levels.
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                Author and article information

                Journal
                BMC Res Notes
                BMC Research Notes
                BioMed Central
                1756-0500
                2009
                12 January 2009
                : 2
                : 6
                Affiliations
                [1 ]US Outcomes Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA
                [2 ]Medical Decision Modeling Inc., Indianapolis, IN, USA
                Article
                1756-0500-2-6
                10.1186/1756-0500-2-6
                2628922
                19138402
                09125d04-122c-44c2-8422-6c458a5a50aa
                Copyright © 2009 Ascher-Svanum et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 August 2008
                : 12 January 2009
                Categories
                Short Report

                Medicine
                Medicine

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