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Abstract
BACKGROUND Recent reports of increased national estimates of pediatric psychiatric emergency department (ED) visits and psychiatric hospitalizations emphasize the need to research these utilization patterns. OBJECTIVES To assess the patient-provider continuity of care (CoC) and compare the risk of psychiatric ED visits or hospitalization according to the CoC level. RESEARCH DESIGN A cohort design was applied to Medicaid administrative claims data (2007-2014) for 3-16-year olds with a first psychiatric diagnosis between 2009 and 2013 (n=38,825). SUBJECTS Continuously enrolled youths with (1) ≥1 outpatient psychiatric visits and (2) ≥4 pediatric outpatient visits in the prior 24 months. MEASURES The authors assessed CoC in the 24 months before the first psychiatric outpatient visit and quantified CoC using the Alpha Index. The authors assessed patient-provider CoC before first psychiatric diagnosis and the odds of psychiatric ED visits or psychiatric hospitalizations in the year after diagnosis. RESULTS Of the 38,825 youths, 88.9% received a first psychiatric diagnosis by age 14. The odds of ED visits were significantly higher among youths with low CoC [6.63%, adjusted odds ratio (AOR), 1.27; 95% confidence interval (CI), 1.13-1.41] or moderate CoC (5.76%; AOR, 1.14; 95% CI, 1.02-1.27) compared with those with high CoC (4.96%). Greater odds of psychiatric hospitalization related to low (7.53%; AOR, 1.17; 95% CI, 1.06-1.29) or moderate CoC (7.01%; AOR, 1.15; 95% CI, 1.03-1.27) compared with high CoC (6.06%). CONCLUSIONS The odds of potentially disruptive clinical management and costly psychiatric ED visits or hospitalizations were lower for youths with high CoC. The findings support the need to research the impact of CoC on long-term pediatric mental health service use.
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Joshi K, Mao L, Biondi DM, Millet R. The Research and Evaluation of Antipsychotic Treatment in Community Behavioral Health Organizations, Outcomes (REACH-OUT) study: real-world clinical practice in schizophrenia. BMC Psychiatry 2018; 18:24. [PMID: 29378547 PMCID: PMC5789676 DOI: 10.1186/s12888-018-1594-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Accepted: 01/07/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Outpatient facilities, such as community behavioral health organizations (CBHOs), play a critical role in the care of patients with serious mental illness, but there is a paucity of "real-world" patient outcomes data from this health care setting. Therefore, we conducted The Research and Evaluation of Antipsychotic Treatment in Community Behavioral Health Organizations, Outcomes (REACH-OUT) trial, a real-world, prospective, noninterventional observational study of patients with mental illness treated at CBHOs across the United States. We describe demographic and clinical characteristics, antipsychotic therapy (APT) treatment patterns, and health care resource utilization in patients with schizophrenia undergoing medical care as usual. METHODS This study enrolled adults with schizophrenia or bipolar I disorder who initiated APT treatment at various time points: 1) within 8 weeks of initiating risperidone long-acting injectables (RLAIs) or other APTs except paliperidone palmitate (PP), 2) after more than 24 weeks of continuous RLAI treatment, or 3) at any time after initiating PP LAI treatment (schizophrenia only). Study assessments were performed via participant interview, medical chart abstraction, and clinical survey at enrollment and at month 12. RESULTS A total of 1065 patients from 46 CBHOs were enrolled. Of these, 944 (88.6%) had a diagnosis of schizophrenia and 121 (11.4%) had bipolar I disorder. At enrollment, 599 (63.5%) of patients with schizophrenia were receiving RLAIs or PP LAI, 281 (29.8%) were receiving oral APTs, and 64 (6.8%) were receiving other injectable APTs. A number of differences in patient characteristics and outcomes were observed between patients in the LAI APT cohort and the oral APT cohort. CONCLUSION Descriptive analyses from this observational study suggest differences in the patient characteristics, treatment patterns, and clinical and economic outcomes among those with schizophrenia treated at CBHOs with LAI APT or oral APTs. Additional analyses will be conducted to delineate the impact of LAI APT versus oral APTs on patient outcomes. TRIAL REGISTRATION Clinical Trial Registry: NCT01181960 . Registered 12 August 2010.
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Affiliation(s)
- Kruti Joshi
- Janssen Scientific Affairs, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560 USA
| | - Lian Mao
- Janssen Research and Development, LLC, Titusville, NJ USA
| | - David M. Biondi
- Janssen Scientific Affairs, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560 USA
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Hofer A, Radner V, Edlinger M, Kemmler G, Rettenbacher MA, Fleischhacker WW. Why do indiviuals with schizophrenia drop out of observational clinical trials? Psychiatry Res 2017; 256:1-5. [PMID: 28609646 DOI: 10.1016/j.psychres.2017.06.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2017] [Revised: 05/10/2017] [Accepted: 06/04/2017] [Indexed: 11/26/2022]
Abstract
Randomized controlled trials (RCTs) and observational studies frequently differ with regard to study dropouts. The present naturalistic follow-up investigation aimed to shed a light on this issue by evaluating the time to and the reasons for study dropout in patients suffering from schizophrenia who started monotherapy with an oral new-generation antipsychotic. To this end, psychopathological symptoms and safety data were assessed in 194 patients who were followed up to a maximum observation period of twelve months. 9.3% of study participants completed the study. The mean time to study dropout was 2.6 ± 2.7 months with almost two thirds of patients dropping out within three months. 44.3% discontinued medication at the date of study dropout, the remainders dropped out due to withdrawal of written consent, logistic reasons, or nonappearance to the study visit ("loss to follow-up"), which were not necessarily to be equated with cessation of the antipsychotic. These findings indicate that in contrast to RCTs, dropout of observational studies is not necessarily associated with drug discontinuation. Accordingly, systematic differences between trial designs need to be considered when interpreting the results of clinical trials.
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Affiliation(s)
- Alex Hofer
- Medical University Innsbruck, Department of Psychiatry, Psychotherapy and Psychosomatics, Division of Psychiatry I, Innsbruck, Austria.
| | - Verena Radner
- Medical University Innsbruck, Department of Psychiatry, Psychotherapy and Psychosomatics, Division of Psychiatry I, Innsbruck, Austria
| | - Monika Edlinger
- Medical University Innsbruck, Department of Psychiatry, Psychotherapy and Psychosomatics, Division of Psychiatry I, Innsbruck, Austria
| | - Georg Kemmler
- Medical University Innsbruck, Department of Psychiatry, Psychotherapy and Psychosomatics, Division of Psychiatry I, Innsbruck, Austria
| | - Maria A Rettenbacher
- Medical University Innsbruck, Department of Psychiatry, Psychotherapy and Psychosomatics, Division of Psychiatry I, Innsbruck, Austria
| | - W Wolfgang Fleischhacker
- Medical University Innsbruck, Department of Psychiatry, Psychotherapy and Psychosomatics, Division of Psychiatry I, Innsbruck, Austria
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Perera V, Bies RR, Mo G, Dolton MJ, Carr VJ, McLachlan AJ, Day RO, Polasek TM, Forrest A. Optimal sampling of antipsychotic medicines: a pharmacometric approach for clinical practice. Br J Clin Pharmacol 2015; 78:800-14. [PMID: 24773369 DOI: 10.1111/bcp.12410] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Accepted: 04/19/2014] [Indexed: 11/28/2022] Open
Abstract
AIM To determine optimal sampling strategies to allow the calculation of clinical pharmacokinetic parameters for selected antipsychotic medicines using a pharmacometric approach. METHODS This study utilized previous population pharmacokinetic parameters of the antipsychotic medicines aripiprazole, clozapine, olanzapine, perphenazine, quetiapine, risperidone (including 9-OH risperidone) and ziprasidone. d-optimality was utilized to identify time points which accurately predicted the pharmacokinetic parameters (and expected error) of each drug at steady-state. A standard two stage population approach (STS) with MAP-Bayesian estimation was used to compare area under the concentration-time curves (AUC) generated from sparse optimal time points and rich extensive data. Monte Carlo Simulation (MCS) was used to simulate 1000 patients with population variability in pharmacokinetic parameters. Forward stepwise regression analysis was used to determine the most predictive time points of the AUC for each drug at steady-state. RESULTS Three optimal sampling times were identified for each antipsychotic medicine. For aripiprazole, clozapine, olanzapine, perphenazine, risperidone, 9-OH risperidone, quetiapine and ziprasidone the CV% of the apparent clearance using optimal sampling strategies were 19.5, 8.6, 9.5, 13.5, 12.9, 10.0, 16.0 and 10.7, respectively. Using the MCS and linear regression approach to predict AUC, the recommended sampling windows were 16.5-17.5 h, 10-11 h, 23-24 h, 19-20 h, 16.5-17.5 h, 22.5-23.5 h, 5-6 h and 5.5-6.5 h, respectively. CONCLUSION This analysis provides important sampling information for future population pharmacokinetic studies and clinical studies investigating the pharmacokinetics of antipsychotic medicines.
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Affiliation(s)
- Vidya Perera
- School of Pharmacy and Pharmaceutical Sciences, School of Pharmacy, SUNY at Buffalo, Buffalo, NY, USA; Schizophrenia Research Institute, Sydney, Australia
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Brain C, Sameby B, Allerby K, Quinlan P, Joas E, Lindström E, Burns T, Waern M. Stigma, discrimination and medication adherence in schizophrenia: results from the Swedish COAST study. Psychiatry Res 2014; 220:811-7. [PMID: 25457284 DOI: 10.1016/j.psychres.2014.10.016] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Revised: 08/22/2014] [Accepted: 10/12/2014] [Indexed: 11/29/2022]
Abstract
The aims of this naturalistic non-interventional study were to quantify the level of stigma and discrimination in persons with schizophrenia and to test for potential associations between different types of stigma and adherence to antipsychotics. Antipsychotic medication use was electronically monitored with a Medication Event Monitoring System (MEMS®) for 12 months in 111 outpatients with schizophrenia and schizophrenia-like psychosis (DSM-IV). Stigma was assessed at endpoint using the Discrimination and Stigma Scale (DISC). Single DISC items that were most frequently reported included social relationships in making/keeping friends (71%) and in the neighborhood (69%). About half of the patients experienced discrimination by their families, in intimate relationships, regarding employment and by mental health staff. Most patients (88%) wanted to conceal their mental health problems from others; 70% stated that anticipated discrimination resulted in avoidance of close personal relationships. Non-adherence (MEMS® adherence≤0.80) was observed in 30 (27.3%). When DISC subscale scores (SD) were entered in separate regression models, neither experienced nor anticipated stigma was associated with adherence. Our data do not support an association between stigma and non-adherence. Further studies in other settings are needed as experiences of stigma and levels of adherence and their potential associations might vary by a healthcare system or cultural and sociodemographic contexts.
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Chen M, Wu G, Wang Z, Yan J, Zhou J, Ding Y, Jiang Y, Rao S, Zhou Q, Ni H, Zhao J, Su Y, Hu J, Zhang Y, Yi Z, Yang W, Song L. Two-year prospective case-controlled study of a case management program for community-dwelling individuals with schizophrenia. SHANGHAI ARCHIVES OF PSYCHIATRY 2014; 26:119-28. [PMID: 25114486 PMCID: PMC4118008 DOI: 10.3969/j.issn.1002-0829.2014.03.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2014] [Accepted: 04/08/2014] [Indexed: 11/18/2022]
Abstract
BACKGROUND A community-based rehabilitation program is an essential element of the comprehensive treatment of individuals with schizophrenia. OBJECTIVE Assess the long-term effects of a community-based case management program for providing rehabilitations services to individuals with schizophrenia. METHODS A total of 730 community-residing participants who met ICD-10 diagnostic criteriafor schizophrenia were enrolled, 380 in the case management group and 350 in the control group from two districts in Shanghai. Case management involved monthly training visits with patients and their co-resident family members that focused on encouraging medication adherence. Participants were assessed every three months for 24 months with the Camberwell Assessment of Need (CAN), Positive and Negative Syndrome Scale (PANSS), WHO-Disability Assessment Scale (WHO-DAS), and the Quality of Life Scale (QOLS). Level of discomfort due to side-effects was also assessed every three months. Individuals who discontinued their antipsychotic medication without physician approval for one month or longer at any time during follow-up were classified as 'self-determined medication discontinuation'. RESULTS Compared to the treatment as usual group (i.e., follow-up management every 3 months), by the end of the two-year follow-up those who participated in the case management program had significantly lower rates of medication discontinuation, significantly less severe negative symptoms, lower relapse rates and lower rehospitalization rates. Other factors that had an independent effect on discontinuation of medication included educational level (those with more education had higher discontinuation rates), lack of family supervision of medication, higher dosages of medication, and greater medication-related discomfort. CONCLUSIONS Case management is a feasible and effective long-term method for improving the rehabilitation outcomes of community residents with schizophrenia. Our results highlight the need to involve family members in the management of patients' medication, to use the minimum effective dosage of medication, and to aggressively manage all side-effects.
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Affiliation(s)
- Meijuan Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guojun Wu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zuowei Wang
- Hongkou Mental Health Center, Shanghai, China
| | - Jun Yan
- Hongkou Mental Health Center, Shanghai, China
| | | | - Yan Ding
- Hongkou Mental Health Center, Shanghai, China
| | - Yaqin Jiang
- Hongkou Mental Health Center, Shanghai, China
| | | | - Qing Zhou
- Xuhui Mental Health Center, Shanghai, China
| | - Hua Ni
- Xuhui Mental Health Center, Shanghai, China
| | - Jun Zhao
- Xuhui Mental Health Center, Shanghai, China
| | - Yanli Su
- Xuhui Mental Health Center, Shanghai, China
| | - Jun Hu
- Xuhui Mental Health Center, Shanghai, China
| | - Yi Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenghui Yi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weimin Yang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lisheng Song
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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