Showing papers in "International Journal of Methods in Psychiatric Research in 2013"

Design of the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

Abstract: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multi-component epidemiological and neurobiological study designed to generate actionable evidence-based recommendations to reduce US Army suicides and increase basic knowledge about the determinants of suicidality. This report presents an overview of the designs of the six components of the Army STARRS. These include: an integrated analysis of the Historical Administrative Data Study (HADS) designed to provide data on significant administrative predictors of suicides among the more than 1.6 million soldiers on active duty in 2004-2009; retrospective case-control studies of suicide attempts and fatalities; separate large-scale cross-sectional studies of new soldiers (i.e. those just beginning Basic Combat Training [BCT], who completed self-administered questionnaires [SAQs] and neurocognitive tests and provided blood samples) and soldiers exclusive of those in BCT (who completed SAQs); a pre-post deployment study of soldiers in three Brigade Combat Teams about to deploy to Afghanistan (who completed SAQs and provided blood samples) followed multiple times after returning from deployment; and a platform for following up Army STARRS participants who have returned to civilian life. Department of Defense/Army administrative data records are linked with SAQ data to examine prospective associations between self-reports and subsequent suicidality. The presentation closes with a discussion of the methodological advantages of cross-component coordination.

Clinical reappraisal of the Composite International Diagnostic Interview Screening Scales (CIDI-SC) in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

Abstract: A clinical reappraisal study was carried out in conjunction with the Army STARRS All-Army Study (AAS) to evaluate concordance of DSM-IV diagnoses based on the Composite International Diagnostic Interview screening scales (CIDI-SC) and PTSD Checklist (PCL) with diagnoses based on independent clinical reappraisal interviews (Structured Clinical Interview for DSM-IV [SCID]). Diagnoses included: lifetime mania/hypomania, panic disorder, and intermittent explosive disorder; 6-month adult attention-deficit/hyperactivity disorder; and 30-day major depressive episode, generalized anxiety disorder, PTSD, and substance (alcohol or drug) use disorder (abuse or dependence). The sample (n=460) was weighted for over-sampling CIDI-SC/PCL screened positives. Diagnostic thresholds were set to equalize false positives and false negatives. Good individual-level concordance was found between CIDI-SC/PCL and SCID diagnoses at these thresholds (AUC = .69–.79). AUC was considerably higher for continuous than dichotomous screening scale scores (AUC = .80–.90), arguing for substantive analyses using not only dichotomous case designations but also continuous measures of predicted probabilities of clinical diagnoses.

The design and methods of the mental health module in the German Health Interview and Examination Survey for Adults (DEGS1-MH)

Abstract: DEGS1-MH is part of the first wave of the German Health Interview and Examination Survey (DEGS1) covering all relevant health issues. Aims of DEGS1-MH are to supplement DEGS1 by describing (1) the distribution and frequency, the severity and the impairments of a wide range of mental disorders, (2) risk factors as well as patterns of help-seeking and health care utilization, and (3) associations between mental and somatic disorders, (4) and by comparisons with a similar survey in the late 1990s (GHS-MHS), longitudinal trends and changes in morbidity over time. Out of all eligible DEGS1 respondents (nationally representative sample aged 18–79), N=5318 subjects (conditional response rate 88%) were examined at their place of residence by clinically trained interviewers with a modified version of the standardized, computer-assisted Composite International Diagnostic Interview (DEGS-CIDI). Innovative additions were: a comprehensive neuropsychological examination, a broader assessment of psychosis-like experiences, disorder-specific disabilities, help-seeking and health care utilization. The mental health module and its combination with the assessment of somatic and other health issues in DEGS1 allow for internationally unique, detailed and comprehensive analyses about mental disorders and the association of mental and somatic health issues in the community, constituting an improved basis for regular future surveys of this sort. Copyright © 2013 John Wiley & Sons, Ltd.

Young Mania Rating Scale: how to interpret the numbers? Determination of a severity threshold and of the minimal clinically significant difference in the EMBLEM cohort

Abstract: The aim of this analysis was to identify Young Mania Rating Scale (YMRS) meaningful benchmarks for clinicians (severity threshold, minimal clinically significant difference [MCSD]) using the Clinical Global Impressions Bipolar (CGI-BP) mania scale, to provide a clinical perspective to randomized clinical trials (RCTs) results. We used the cohort of patients with acute manic/mixed state of bipolar disorders (N = 3459) included in the European Mania in Bipolar Longitudinal Evaluation of Medication (EMBLEM) study. A receiver-operating characteristic analysis was performed on randomly selected patients to determine the YMRS optimal severity threshold with CGI-BP mania score ≥ “Markedly ill” defining severity. The MCSD (clinically meaningful change in score relative to one point difference in CGI-BP mania for outcome measures) of YMRS, was assessed with a linear regression on baseline data. At baseline, YMRS mean score was 26.4 (±9.9), CGI-BP mania mean score was 4.8 (±1.0) and 61.7% of patients had a score ≥ 5. The optimal YMRS severity threshold of 25 (positive predictive value [PPV] = 83.0%; negative predictive value [NPV] = 66.0%) was determined. In this cohort, a YMRS score of 20 (typical cutoff for RCTs inclusion criteria) corresponds to a PPV of 74.6% and to a NPV of 77.6%, meaning that the majority of patients included would be classified as severely ill. The YMRS minimal clinically significant difference was 6.6 points. Copyright © 2013 John Wiley & Sons, Ltd.

Dealing with clinical heterogeneity in meta-analysis. Assumptions, methods, interpretation.

Abstract: Objective There is an ongoing debate how to interpret findings of meta-analyses when substantial clinical heterogeneity is present among included trials. The aim of the present study was to demonstrate various ways of dealing with clinical heterogeneity along with underlying assumptions and interpretation. A recent meta-analysis on long-term psychodynamic psychotherapy (LTPP) was used as an illustrative example. Method: Re-analysis of published data including calculation of a prediction interval, heterogeneity tests, Bayesian meta-analysis, meta-regression, and subgroup analysis to explore and interpret summary estimates in clinically heterogeneous studies. Results: Meta-analytic results and their implications varied considerably depending on whether and how clinical heterogeneity was addressed. Conclusions: Whether or not to trust summary estimates in meta-analysis depends largely on the subjective relevance of clinical heterogeneity present. No single analysis and interpretation strategy can be valid in every context or paradigm, thus, reflection of own beliefs on the role of heterogeneity is needed. Copyright © 2013 John Wiley & Sons, Ltd.

Response bias, weighting adjustments, and design effects in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

Abstract: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multi-component epidemiological and neurobiological study designed to generate actionable recommendations to reduce U.S. Army suicides and increase knowledge about determinants of suicidality. Three Army STARRS component studies are large-scale surveys: one of new soldiers prior to beginning Basic Combat Training (BCT; n=50,765 completed self-administered questionnaires); another of other soldiers exclusive of those in BCT (n=35,372); and a third of three Brigade Combat Teams about to deploy to Afghanistan who are being followed multiple times after returning from deployment (n= 9,421). Although the response rates in these surveys are quite good (72.0-90.8%), questions can be raised about sample biases in estimating prevalence of mental disorders and suicidality, the main outcomes of the surveys based on evidence that people in the general population with mental disorders are under-represented in community surveys. This paper presents the results of analyses designed to determine whether such bias exists in the Army STARRS surveys and, if so, to develop weights to correct for these biases. Data are also presented on sample inefficiencies introduced by weighting and sample clustering and on analyses of the trade-off between bias and efficiency in weight trimming.

Does the Revised Child Anxiety and Depression Scale (RCADS) measure anxiety symptoms consistently across adolescence? The TRAILS study

Abstract: We assessed if the Revised Child Anxiety and Depression Scale (RCADS) measures anxiety symptoms similarly across age groups within adolescence. This is crucial for valid comparison of anxiety levels between different age groups. Anxiety symptoms were assessed biennially in a representative population sample (n = 2226) at three time points (age range 10–17 years) using the RCADS anxiety subscales (generalized anxiety disorder [GAD], obsessive‐compulsive disorder [OCD], panic disorder [PD], separation anxiety [SA], social phobia [SP]). We examined longitudinal measurement invariance of the RCADS, using longitudinal confirmatory factor analysis, by examining the factor structure (configural invariance), factor loadings (metric invariance) and thresholds (strong invariance). We found that all anxiety subtypes were configural invariant. Metric invariance held for items on the GAD, OCD, PD and SA subscales; yet, for the SP subscale three items showed modest longitudinal variation at age 10–12. Model fit decreased modestly when enforcing additional constraints across time; however, model fit for these models was still adequate to excellent. We conclude that the RCADS measures anxiety symptoms similarly across time in a general population sample of adolescents; hence, measured changes in anxiety symptoms very likely reflect true changes in anxiety levels. We consider the instrument suitable to assess anxiety levels across adolescence. Copyright © 2013 John Wiley & Sons, Ltd.

Core pathology of eating disorders as measured by the Eating Disorder Examination Questionnaire (EDE-Q): the predictive role of a nested general (g) and primary factors.

Abstract: The present study examined several factor models of the Eating Disorder Examination Questionnaire (EDE-Q), and in particular, whether a nested general factor ('g') was present, hence supporting a common pathology factor. A total of 1094 women were randomly selected by Statistics Norway and mailed a questionnaire packet. The sample was randomly split, using the first half for exploratory analyses and the second for confirmatory validation purposes. A four-factor solution received the best support, but the structure deviated from the original model of Fairburn. The internal consistency was high for the first three factors (.93, .82 and .86) and satisfactory for the fourth (.78). The additional specification of a general (g) factor improved model fit significantly, implying that the EDE-Q scores are indicators of both a general core and four primary symptom patterns. Furthermore, the g was more strongly related to predictors like age and body mass index (BMI) than the four primary factors in a full structural equation model. The validity of interpreting the global EDE-Q score as indicative of g was supported. A brief Shape and Weight Concern subscale of 11 items was strongly related to the g-factor, and may provide an abbreviated measure of overall eating disorder pathology.

Field procedures in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Abstract: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multi-component epidemiological and neurobiological study of unprecedented size and complexity designed to generate actionable evidencebased recommendations to reduce US Army suicides and increase basic knowledge about determinants of suicidality by carrying out coordinated component studies. A number of major logistical challenges were faced in implementing these studies. The current report presents an overview of the approaches taken to meet these challenges, with a special focus on the field procedures used to implement the component studies. As detailed in the paper, these challenges were addressed at the onset of the initiative by establishing an Executive Committee, a Data Coordination Center (the Survey Research Center [SRC] at the University of Michigan), and study-specific design and analysis teams that worked with staff on instrumentation and field procedures. SRC staff, in turn, worked with the Office of the Deputy Under Secretary of the Army (ODUSA) and local Army Points of Contact (POCs) to address logistical issues and facilitate data collection. These structures, coupled with careful fieldworker training, supervision, and piloting, contributed to the major Army STARRS data collection efforts having higher response rates than previous large-scale studies of comparable military samples. Copyright © 2013 John Wiley & Sons, Ltd.

The International ADHD in Substance Use Disorders Prevalence (IASP) study: background, methods and study population

Abstract: Attention deficit/hyperactivity disorder (ADHD) is an increasingly recognized comorbid condition in subjects with substance use disorders (SUDs). This paper describes the methods and study population of the International ADHD in Substance Use Disorders Prevalence (IASP) study. Objectives of the IASP are to determine the prevalence of ADHD in adult treatment seeking patients with SUD in different countries and SUD populations, determine the reliability and validity of the Adult ADHD Self-report Scale V 1.1 (ASRS) as ADHD screening instrument in SUD populations, investigate the comorbidity profile of SUD patients with and without ADHD, compare risk factors and protective factors in SUD patients with and without a comorbid diagnosis of ADHD, and increase our knowledge about the relationship between ADHD and the onset and course of SUD. In this cross-sectional, multi-centre two stage study, subjects were screened for ADHD with the ASRS, diagnosed with the Conner's Adult ADHD Diagnostic Interview for DSM-IV (CAADID), and evaluated for SUD, major depression, bipolar disorder, anti social personality disorder and borderline personality disorder. Three thousand five hundred and fifty-eight subjects from 10 countries were included. Of these 40.9% screened positive for ADHD. This is the largest international study on this population evaluating ADHD and comorbid disorders.

The structure of the Montgomery–Åsberg depression rating scale over the course of treatment for depression

Abstract: The Montgomery-Asberg Depression Rating Scale (MADRS) is a widely used clinician-rated measure of depressive severity. Empirical support for the factor structure of the MADRS is mixed; further, the comparison of MADRS scores within and between patients requires the demonstration of consistent instrument properties. The objective of the current investigation was to evaluate MADRS factor structure as well as MADRS factorial invariance across time and gender. The MADRS was administered to 821 depressed outpatients participating in a large-scale effectiveness study of combined pharmacotherapy and psychotherapy for depression. Treatment outcome did not differ across treatment groups. Factor structure and invariance was evaluated via confirmatory factor analysis. A four-factor model consisting of Sadness, Negative Thoughts, Detachment and Neurovegetative symptoms demonstrated a good fit to the data. This four-factor structure was invariant across time and gender. A hierarchical model, in which these four factors served as indicators of a general depression factor, was also supported. A limitation of the current study is the lack of comprehensive characterization of patient clinical features; results need to be replicated in more severely depressed or treatment refractory patients. Overall, evidence supported the use of the MADRS total score as well as subscales focused on affective, cognitive, social and somatic aspects of depression in male and female outpatients.

A validation of the Cannabis Abuse Screening Test (CAST) using a latent class analysis of the DSM-IV among adolescents.

Abstract: This paper explored the latent class structure of the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) (assessed with the Munich Composite International Diagnostic Interview). Secondly, the screening properties of the Cannabis Abuse Screening Test (CAST) in adolescents were assessed with classical test theory using the latent class structure as empirical gold standard. The sample comprised 3266 French cannabis users aged 17 to 19 from the general population. Three latent classes of cannabis users were identified reflecting a continuum of problem severity: non-symptomatic, moderate and severe. Gender-specific analyses showed the best model fit, although results were almost identical in the total sample. The latent classes were good predictors of daily cannabis use, number of joints per day and age of first experimentation. The CAST showed good screening properties for the moderate/severe class (area under receiver operating characteristic curve > 0.85) and very good for the severe class (0.90). It was more sensitive for boys, more specific for girls. Although structural equivalence across gender was rejected, results suggest small gender differences in the latent structure of the DSM-IV. The performance of the CAST in screening for the latent class structure was good and superior to those obtained with the classical DSM-IV diagnoses. Copyright © 2013 John Wiley & Sons, Ltd.

Validation of the problem gambling severity index using confirmatory factor analysis and rasch modelling.

Abstract: The Problem Gambling Severity Index (PGSI), a screening tool used to measure the severity of gambling problems in general population research, was subjected to confirmatory factor analysis and Rasch modelling to (a) confirm the one-factor structure; (b) assess how well the items measure the continuum of problem gambling severity; (c) identify sources of differential item functioning among relevant subpopulations of gamblers. Analyses were conducted on a nationally representative sample of over 25,000 gamblers compiled by merging data from the Canadian Community Health Survey and Canadian Problem Gambling Index (CPGI) integrated datasets. Results provided support for a one-factor model that was invariant across gender, age, income level, and gambler type. Rasch modelling revealed a well-fitting, unidimensional model with no miss-fitting items. The average severity assessed by the PGSI is consistent with moderately severe problem gambling. The PGSI is therefore weak in assessing low to moderate problem severity, a notable limitation of most brief gambling screens. Evidence of clinically significant differential item functioning was found with only one item, borrowing money to gamble, which behaved differently in gamblers who play electronic gaming machines or casino games compared to gamblers who avoid these games.

Modifying and Validating the Composite International Diagnostic Interview (CIDI) for Use in Nepal

Abstract: Background: Efforts to develop and validate fully-structured diagnostic interviews of mental disorders in non-Western countries have been largely unsuccessful. However, the principled methods of translation, harmonization, and calibration that have been developed by cross-national survey methodologists have never before been used to guide such development efforts. The current report presents the results of a rigorous program of research using these methods designed to modify and validate the Composite International Diagnostic Interview (CIDI) for an epidemiological survey in Nepal. Methods: A five-step process of translation, harmonization, and calibration was used to modify the instrument. A blinded clinical reappraisal design was used to validate the instrument. Results: Preliminary interviews with local mental health expert led to a focus on major depressive episode, mania/hypomania, panic disorder, post-traumatic stress disorder, generalized anxiety disorder, and intermittent explosive disorder. After an iterative process of multiple translations-revisions guided by the principles developed by cross-national survey methodologists, lifetime DSM-IV diagnoses based on the final Nepali CIDI had excellent concordance with diagnoses based on blinded Structured Clinical Interview for DSM-IV (SCID) clinical reappraisal interviews. Conclusions: Valid assessment of mental disorders can be achieved with fully-structured diagnostic interviews even in low-income non-Western settings with rigorous implementation of replicable developmental strategies. Copyright © 2013 John Wiley & Sons, Ltd.

The Healthy Brains and Behavior Study: objectives, design, recruitment, and population coverage

Abstract: Violence is increasingly viewed as a public health issue that may be ameliorated by health-based interventions. The Healthy Brains and Behavior Study (HBBS) aims to identify environmental and biological risk factors for aggression in late childhood and to reduce aggression through psychological and nutritional treatments. Utilizing a cross-disciplinary collaborative research approach, the HBBS has both human and animal components. The human component has two stages consisting of risk assessment followed by treatment. The risk assessment is based on 451 community-residing children aged 11–12 years and their caregivers, during which genetic, brain imaging, neuroendocrine, psychophysiology, environment toxicology, neurocognitive, nutrition, psychological, social and demographic risk variables are collected. Children who met criteria (N = 219) for problematic aggressive behaviors were assigned to one of four treatment groups: cognitive-behavior therapy (CBT) alone, nutritional supplements alone, both CBT and nutrition, or treatment-as-usual. Treatment duration was 12 weeks and all children whether in treatment or not were followed-up at three, six, and 12 months. The animal component assessed the effects of dietary omega-3 fatty acids on the development of aggression. This study contributes knowledge on how biological factors interact with social factors in shaping proactive and reactive aggression and assesses the efficacy of treatment approaches to reduce childhood aggression. Copyright © 2013 John Wiley & Sons, Ltd.

Reliability and validity of the Severity of Dependence Scale for detecting cannabis dependence in frequent cannabis users.

Abstract: The Severity of Dependence Scale (SDS) measures with five items the degree of psychological dependence on several illicit drugs, including cannabis. Its psychometric properties have not yet been examined in young adult frequent cannabis users, an eminently high-risk group for cannabis dependence. Internal consistency and criterion validity of the SDS were investigated within an enriched community based sample of 577 Dutch frequent (≥ three days per week in the past 12 months) cannabis users between 18-30 years. Criterion validity was tested against the Composite International Diagnostic Interview (CIDI) 3.0 DSM-IV diagnosis cannabis dependence, and psychometric properties were assessed separately for males and females and for ethnic subgroups. Principal component analysis showed that all items of the scale loaded on a single factor and reliability of the SDS total score was good (Cronbach's α = 0.70). However, criterion validity against the CIDI diagnosis cannabis dependence was low: area under curve (AUC) was 0.68 (95% confidence interval: 0.64-0.73) and at the optimal differentiating cut-off (SDS ≥ 4), sensitivity was 61.3% and specificity 63.5%. Results were similar for subgroups on gender and ethnicity. While internal consistency of the SDS is good, its use as a screener to differentiate between dependence and non-dependence within populations of young adult frequent cannabis users is not recommended.

Screening symptoms of reactive attachment disorder: evidence for measurement invariance and convergent validity.

Abstract: The Relationship Problems Questionnaire (RPQ) was developed to screen symptoms of the inhibited and disinhibited subtype of reactive attachment disorder (RAD). This study further examines the psychometric properties of the RPQ in children with severe emotional and behavioural problems by testing its measurement invariance across informants and its convergent validity. Parents and teachers of 152 children [mean age (Mage) = 7.92] from 20 schools for special education filled out the RPQ and the Strengths and Difficulties Questionnaire (SDQ). During a home visit in a subsample of 77 children the Disturbances of Attachment Interview (DAI) was administered to the caregiver and the child was observed using an observational schedule for RAD. Exploratory and confirmatory factor analyses revealed the expected two-factor structure for both parent and teacher RPQ. Configural and metric invariance, but no scalar invariance, were obtained across informants. Both RPQ-subscales had acceptable to good internal consistencies and correlated as expected with similar DAI-subscales. Furthermore, the disinhibited RPQ-scale related with observations of the child's approach to a stranger. Finally, significant associations were found between the RPQ and the SDQ. Overall, the RPQ has good psychometric qualities as a multi-informant instrument for RAD-symptoms in children with severe emotional and behavioural problems. Copyright © 2013 John Wiley & Sons, Ltd.

Meta‐analytic approaches to determine gender differences in the age‐incidence characteristics of schizophrenia and related psychoses

Abstract: A recent systematic review and meta-analysis of the incidence and prevalence of schizophrenia and other psychoses in England investigated the variation in the rates of psychotic disorders. However, some of the questions of interest, and the data collected to answer these, could not be adequately addressed using established meta-analysis techniques. We developed a novel statistical method, which makes combined use of fractional polynomials and meta-regression. This was used to quantify the evidence of gender differences and a secondary peak onset in women, where the outcome of interest is the incidence of schizophrenia. Statistically significant and epidemiologically important effects were obtained using our methods. Our analysis is based on data from four studies that provide 50 incidence rates, stratified by age and gender. We describe several variations of our method, in particular those that might be used where more data is available, and provide guidance for assessing the model fit. Copyright © 2013 John Wiley & Sons, Ltd.

A review of the reliability and validity of OPCRIT in relation to its use for the routine clinical assessment of mental health patients

Abstract: The OPCRIT program is a symptom checklist with accompanying algorithms producing operationally defined diagnoses. We undertook a review of studies which had used OPCRIT and had reported statistics concerning its reliability and validity, producing summary measures from 44 studies. The first main measure of interest was inter-rater reliability where mean kappa values indicated that agreement between raters was “substantial” with a marginal improvement at the diagnostic (0.76) versus individual item (0.69) level. The second main measure of interest was convergent validity – the agreement between OPCRIT and clinical diagnoses. Most studies reported these figures as concordance rates suggesting mean agreement, unadjusted for chance, of 69%. Very few studies used the chance-adjusted kappa statistic but where this was used agreement was “fair” (0.39). Agreement between OPCRIT and other research diagnoses was “moderate” (0.60). We also considered differences between the way OPCRIT has traditionally been used in research settings and the naturalistic manner in which it will be employed in the hospital ward. This review provides a summary of the reliability and validity of OPCRIT, which will be considered during the preparation for its use in the routine characterization of mental health patients in clinical settings. Copyright © 2013 John Wiley & Sons, Ltd.

Evidence from regression-discontinuity analyses for beneficial effects of a criterion-based increase in alcohol treatment.

Abstract: Brief interventions effectively reduce alcohol problems; however, it is controversial whether longer interventions result in greater improvement. This study aims to determine whether an increase in treatment for people with more severe problems resulted in better outcome. We employed regression-discontinuity analyses to determine if drinking driver clients (n = 22,277) in Ontario benefited when they were assigned to a longer treatment program (8-hour versus 16-hour) based on assessed addiction severity criteria. Assignment to the longer16-hour program was based on two addiction severity measures derived from the Research Institute on Addictions Self-inventory (RIASI) (meeting criteria for assignment based on either the total RIASI score or the score on the recidivism subscale). The main outcome measure was self-reported number of days of alcohol use during the 90 days preceding the six month follow-up interview. We found significant reductions of one or two self-reported drinking days at the point of assignment, depending on the severity criterion used. These data suggest that more intensive treatment for alcohol problems may improve results for individuals with more severe problems.

Measuring psychotropic drug exposures in register‐based studies – validity of a dosage assumption of one unit per day in older Finns

Abstract: Pharmacoepidemiological studies provide valuable information on the relationships between psychotropic drug use and adverse outcomes in older people. To minimize the influence of misclassification bias in pharmacoepidemiological studies, more emphasis should be given to methodological aspects of exposure assessment. This study evaluated the validity of a dosage assumption of one unit per day for measuring legend duration of psychotropic drug exposures among older people. Using data from the Finnish Prescription Register, the study analysed 62,320 psychotropic drug prescriptions dispensed for people aged ≥ 75 years (n = 52,729) in September 2009. The proportions of prescriptions in which the prescribed dose deviated from one unit per day were assessed for categories and subcategories of psychotropic drugs. The prescription was considered misclassified (a) if the prescribed drug was intended for “as needed” use, (b) if the prescription included a dose range, or (c) if the prescribed dose was below or above one unit per day. Among antidepressants, less than every fourth (23.7%) prescription was misclassified. The proportions of misclassification varied substantially across subcategories, being 13.1% for selective serotonin reuptake inhibitors (SSRIs), 25.3% for other antidepressants and 53.8% for tricyclic antidepressants. Of the benzodiazepine and antipsychotic prescriptions, 79.9% and 57.6%, respectively, were misclassified. In conclusion, the dosage assumption of one unit per day is valid for measuring the legend duration of SSRI and other antidepressant exposures among older people. Among other psychotropic drugs, the dosage assumption is likely to lead to severe exposure misclassification. Copyright © 2013 John Wiley & Sons, Ltd.

Establishing disability weights from pairwise comparisons for a US burden of disease study.

Abstract: To determine valid and reliable disability weights for a U.S. burden of disease study, a convenience sample of 68 clinical experts was recruited, including representatives from over 20 NIH institutes and Centers for Disease Control and Prevention. Experts were given various health state valuation tasks including pairwise comparison, ranking, and Person Trade Off. Materials consisted of standardized descriptions of 11 attributes per health state (Classification and Measurement System of Functional Health, CLAMES). Attributes comprised up to 5 ordinal levels of disability. All states were displayed either with or without health state labels. Health state descriptions were taken from an existing comprehensive Canadian system. Conditional Logistic (CLR) and Probit Regression (PR) were used to derive disability weights. CLR and PR converged in yielding stable regression weights to construct disability weights, with a correlation of 0.816. The overall test-retest reliability amounted to 92.5% identical decisions. No significant difference was found for the presentation of health states with or without labels. A comparison of the expert valuations from our study with a standard gamble based valuation in the general population resulted in agreement of r = 0.61. The chosen methodology yielded valid and reliable and disability weights. As it is based on a modularized set of attributes, this methodology will allow derivation of disability weights on the basis of existing descriptions using the CLAMES.

Improving study design for antidepressant effectiveness assessment.

Abstract: Antidepressants effectiveness in major depressive disorder (MDD) is still questioned because the extrapolation of randomized controlled trial (RCT) results to "real life" settings is problematic. The application of the RCT paradigm in a disorder of this type, where global care plays a central role, raises questions regarding the internal and external validity of this type of study. Outcome measurement, attrition rates, the ability of the double-blind design to control for expectations, placebo response, the representativeness of trial participants and publication bias are major methodological pitfalls. This review discusses these issues. It is illustrated using original data and proposes some alternatives for assessing antidepressant effectiveness via different approaches. Some are easy to implement, such as ecological measures, qualitative approaches, improvement of analytical strategy and improvement of blinding procedures. Some are sophisticated, involving temporary deception to deal with the confounding effect of expectations, and they raise ethical issues. Others resort to external validity, this being the case in observational studies. But all are necessary to explore antidepressant effectiveness.

Local control for identifying subgroups of interest in observational research: persistence of treatment for major depressive disorder.

Abstract: Caregivers are regularly faced with decisions between competing treatments. Large observational health care databases provide a golden opportunity for research on heterogeneity in patient response to guide caregiver decisions, due to their sample size, diverse populations, and real-world setting. Local control is a promising tool for using observational data to detect patient subgroups with differential response on one treatment relative to another. While standard data mining approaches find subgroups with optimal responses for a particular population, detecting subgroups that reveal treatment differences while also adjusting for confounding in observational data is challenging. Local control utilizes unsupervised clustering to form non-parametric patient-level counterfactual treatment differences and displays them as an observed distribution of effect-size estimates. Classification and regression trees (CART) then find the factors that drive the greatest outcome differentiation between treatments. In this manuscript, we demonstrate the use of this two-step strategy using local control plus CART to identify depression patients most (least) likely to benefit from treatment with duloxetine relative to extended-release venlafaxine. Prior medication costs and age were found to be factors most associated with differential outcome, with prior medication costs remaining as an important factor after sensitivity analyses using a second dataset. Copyright © 2013 John Wiley & Sons, Ltd.

Critical evaluation of mixed treatment comparison meta-analyses using examples assessing antidepressants and opioid detoxification treatments.

Abstract: Comparing multiple treatment options using meta-analytical methods requires complex statistical methods called mixed treatment comparisons (MTCs). Such methods offer the possibility to summarize data from many clinical trials comparing the different available options. However, those methods are based on a number of assumptions and inherent difficulties that are discussed and illustrated with examples from the psychiatric literature to help readers to understand the strengths and weaknesses of these methods. This review will help enable readers to critically appraise the methodology and results of publications that use MTCs. Copyright © 2013 John Wiley & Sons, Ltd.

Mental health care Monitor Older adults (MEMO): monitoring patient characteristics and outcome in Dutch mental health services for older adults.

Abstract: Information on which older adults attend mental health care and whether they profit from the care they receive is important for policy-makers. To assess this information in daily practice, the "Mental health care Monitor Older adults" (MEMO) was developed in the Netherlands. The aim of this paper is to describe MEMO and the older adults who attend outpatient mental health care regarding their predisposing and enabling characteristics and need for care. In MEMO all patients referred to the division of old age psychiatry of the participating mental health care organisations are assessed at baseline and monitored at 4, 8 and 12-month follow-up. Primary outcomes are mental and social functioning, consumer satisfaction, and type of treatment provided (MEMO Basic). Over the years, MEMO Basic is repeated. In each cycle, additional information on specific patient groups is added (e.g. mood disorders). Data collection is supported by a web-based system for clinicians, including direct feedback to monitor patients throughout treatment. First results at baseline showed that the majority of patients that entered the division of old age psychiatry was female (69%), had low education (83%), lived alone (53%), was depressed (42%) and had a comorbid condition (82%). It seemed that older immigrants were not sufficiently reached. The current study is the first in the Netherlands to evaluate patient characteristics and outcome in mental health care provided for older adults in day-to-day practice. If MEMO works out successfully, the method should be extended to other target groups. Copyright (c) 2013 John Wiley & Sons, Ltd.