Depression--a common disorder across a broad spectrum of neurological conditions: a cross-sectional nationally representative survey

OBJECTIVE

To estimate the prevalence of depression across a range of neurological conditions in a nationally representative sample.

METHODS

The data source was the Survey of Living with Neurological Conditions in Canada (SLNCC), which accrued its sample by selecting participants from the Canadian Community Health Survey. The point prevalence of depression was estimated by assessment of depressive symptoms with the Patient Health Questionnaire, Brief (Patient Health Questionnaire, 9-item).

RESULTS

A total of n=4408 participated in the SLNCC. The highest point prevalence of depression (>30%) was seen in those with traumatic brain injury and brain/spinal cord tumors. Depression was also highly prevalent (18-28%) in those with (listed from highest to lowest) Alzheimer's disease/dementia, dystonia, multiple sclerosis, Parkinson's disease, stroke, migraine, epilepsy and spina bifida. The odds ratios for depression, with the referent group being the general population, were significant (from highest to lowest) for migraine, traumatic brain injury, stroke, dystonia and epilepsy.

CONCLUSIONS

All neurological conditions included in this study are associated with an elevated prevalence of depression in community populations. The conditions with the highest prevalence are traumatic brain injury and brain/spinal cord tumors.

Differences in the burden of psychiatric comorbidity in MS vs the general population

Objective:

We aimed to compare the incidence and prevalence of psychiatric comorbidity in the multiple sclerosis (MS) population and in controls matched for age, sex, and geographic area.

Methods:

Using population-based administrative health data from 4 Canadian provinces, we identified 2 cohorts: 44,452 persons with MS and 220,849 controls matched for age, sex, and geographic area. We applied validated case definitions to estimate the incidence and prevalence of depression, anxiety, bipolar disorder, and schizophrenia from 1995 to 2005. We pooled the results across provinces using meta-analyses.

Results:

Of the MS cases, 31,757 (71.3%) were women with a mean (SD) age at the index date of 43.8 (13.7) years. In 2005, the annual incidence of depression per 100,000 persons with MS was 979 while the incidence of anxiety was 638, of bipolar disorder was 328, and of schizophrenia was 60. The incidence and prevalence estimates of all conditions were higher in the MS population than in the matched population. Although the incidence of depression was higher among women than men in both populations, the disparity in the incidence rates between the sexes was lower in the MS population (incidence rate ratio 1.26; 95% confidence interval: 1.07–1.49) than in the matched population (incidence rate ratio 1.50; 95% confidence interval: 1.21–1.86). Incidence rates were stable over time while prevalence increased slightly.

Conclusions:

Psychiatric comorbidity is common in MS, and more frequently affected the MS population than a matched population, although the incidence was stable over time. Men with MS face a disproportionately greater relative burden of depression when they develop MS than women.

Diagnostic accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for detecting major depression in pregnant and postnatal women: protocol for a systematic review and individual patient data meta-analyses

INTRODUCTION

Studies of the diagnostic accuracy of depression screening tools often used data-driven methods to select optimal cut-offs. Typically, these studies report results from a small range of cut-off points around whatever cut-off score is identified as most accurate. When published data are combined in meta-analyses, estimates of accuracy for different cut-off points may be based on data from different studies, rather than data from all studies for each cut-off point. Thus, traditional meta-analyses may exaggerate accuracy estimates. Individual patient data (IPD) meta-analyses synthesise data from all studies for each cut-off score to obtain accuracy estimates. The 10-item Edinburgh Postnatal Depression Scale (EPDS) is commonly recommended for depression screening in the perinatal period. The primary objective of this IPD meta-analysis is to determine the diagnostic accuracy of the EPDS to detect major depression among women during pregnancy and in the postpartum period across all potentially relevant cut-off scores, accounting for patient factors that may influence accuracy (age, pregnancy vs postpartum).

METHODS AND ANALYSIS

Data sources will include Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO, and Web of Science. Studies that include a diagnosis of major depression based on a validated structured or semistructured clinical interview administered within 2 weeks of (before or after) the administration of the EPDS will be included. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Bivariate random-effects meta-analysis will be conducted for the full range of plausible cut-off values. Analyses will evaluate data from pregnancy and the postpartum period separately, as well as combining data from all women in a single model.

ETHICS AND DISSEMINATION

This study does not require ethics approval. Dissemination will include journal articles and presentations to policymakers, healthcare providers and researchers.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO 2015:CRD42015024785.

Determinants of disease severity in adults with epilepsy: Results from the Neurological Diseases and Depression Study

BACKGROUND

Epilepsy severity has been recognized as a significant predictor of health-related quality of life in patients with epilepsy. However, clinical markers of epilepsy severity such as seizure frequency often fail to capture important aspects of the disease. This study investigates the factors associated with patient-reported severity of epilepsy, assessed by the Global Assessment of Severity of Epilepsy (GASE) scale in adults with epilepsy.

METHODS

Data from a cohort of 250 patients consecutively enrolled in the Neurological Diseases and Depression Study (NEEDS) were used to assess the determinants of epilepsy severity as measured by the GASE scale. Multiple linear regression analyses were used to examine the mediation effect of clinical and sociodemographic characteristics on patients' ratings on the GASE scale.

RESULTS

The mean age of the study participants was 39.8 (SD=14.9) years, of which 44.4% were male. About 66.8% of the participants reported "not at all severe" or "a little severe" epilepsy, while 0.4% reported "extremely severe" epilepsy. One-year seizure freedom, number of antiseizure medications, medication side effects, depression, anxiety, and seizure-related disability were identified as significant determinants of patients' ratings of epilepsy severity. Seizure-related disability mediated the effects of 1-year seizure freedom, number of antiseizure medications, and medication side effects on epilepsy severity.

CONCLUSION

Overall, patients with epilepsy who reported higher GASE scores were less likely to achieve 1-year seizure freedom and more likely to be on more antiseizure medications, experience more side effects from medication, endorse more depression and anxiety symptoms, and have increased self-reported seizure-related disability. The identified determinants of global, self-rated epilepsy severity can aid the design of appropriate interventions and support services for patients with severe epilepsy.

Long-term persistence with injectable therapy in relapsing-remitting multiple sclerosis: an 18-year observational cohort study

Disease modifying therapies (DMTs) reduce the frequency of relapses and accumulation of disability in multiple sclerosis (MS). Long-term persistence with treatment is important to optimize treatment benefit. This long-term, cohort study was conducted at the Calgary MS Clinic. All consenting adults with relapsing-remitting MS who started either glatiramer acetate (GA) or interferon-β 1a/1b (IFN-β) between January 1st, 1996 and July 1st, 2011 were included. Follow-up continued to February 1st, 2014. Time-to-discontinuation of the initial and subsequently-prescribed DMTs (switches) was analysed using Kaplan-Meier survival analyses. Group differences were compared using log-rank tests and multivariable Cox regression models. Analysis included 1471 participants; 906 were initially prescribed GA and 565 were initially prescribed IFN-β. Follow-up information was available for 87%; 29 (2%) were lost to follow-up and 160 (11%) moved from Southern Alberta while still using DMT. Median time-to-discontinuation of all injectable DMTs was 11.1 years. Participants with greater disability at treatment initiation, those who started treatment before age 30, and those who started between 2006 and 2011 were more likely to discontinue use of all injectable DMTs. Median time-to-discontinuation of the initial DMT was 8.6 years. Those initially prescribed GA remained on treatment longer. Of 610 participants who discontinued injectable DMT, 331 (54%) started an oral DMT, or a second-line DMT, or resumed injectable DMT after 90 days. Persistence with injectable DMTs was high in this long-term population-based study. Most participants who discontinued injectable DMT did not remain untreated. Further research is required to understand treatment outcomes and outcomes after stopping DMT.

Social judgments of behavioral versus substance-related addictions: a population-based study

BACKGROUND

Recently, the concept of addiction has expanded to include many types of problematic repetitive behaviors beyond those related to substance misuse. This trend may have implications for the way that lay people think about addictions and about people struggling with addictive disorders. The aim of this study was to provide a better understanding of how the public understands a variety of substance-related and behavioral addictions.

METHODS

A representative sample of 4000 individuals from Alberta, Canada completed an online survey. Participants were randomly assigned to answer questions about perceived addiction liability, etiology, and prevalence of problems with four substances (alcohol, tobacco, marijuana, and cocaine) and six behaviors (problematic gambling, eating, shopping, sexual behavior, video gaming, and work).

RESULTS

Bivariate analyses revealed that respondents considered substances to have greater addiction liability than behaviors and that most risk factors (moral, biological, or psychosocial) were considered as more important in the etiology of behavioral versus substance addictions. A discriminant function analysis demonstrated that perceived addiction liability and character flaws were the two most important features differentiating judgments of substance-related versus behavioral addictions. Perceived addiction liability was judged to be greater for substances. Conversely, character flaws were viewed as more associated with behavioral addictions.

CONCLUSIONS

The general public appreciates the complex bio-psycho-social etiology underlying addictions, but perceives substance-related and behavioral addictions differently. These attitudes, in turn, may shape a variety of important outcomes, including the extent to which people believed to manifest behavioral addictions feel stigmatized, seek treatment, or initiate behavior changes on their own.

Prevalence of Bipolar I and II Disorder in Canada

OBJECTIVE

Current epidemiologic knowledge about bipolar disorder (BD) in Canada is inadequate. To date, only 3 prevalence studies have been conducted: only 1 was based on a national sample, and none distinguished between BD I and II. The objective of this study was to estimate the prevalence of BD I and II in Canada in 2012.

METHOD

Data were obtained from the 2012 Canadian Community Health Survey: Mental Health and Well-being, a cross-sectional survey of a nationally representative sample of household residents ages 15 years and older (n = 25 113). The survey response rate was 68.9%. Interviews were based on the World Health Organization Composite International Diagnostic Interview (CIDI). Prevalence was estimated using generalized linear modelling. Prevalence of self-reported diagnosis of BD and use of lithium were also estimated.

RESULTS

The estimated lifetime prevalence of BD I and II (based on the CIDI) in Canada in 2012 was 0.87% (95% CI 0.67% to 1.07%) and 0.57% (95% CI 0.44% to 0.71%), respectively. Prevalence did not differ by sex. The estimated prevalence of self-reported BD was 0.87% (95% CI 0.65% to 1.07%). There was a lack of congruence between CIDI-defined and self-reported BD, and few people taking lithium were positive for BD on the CIDI, which raises some concerns about the validity of the CIDI's assessment of BD.

CONCLUSIONS

These prevalence estimates align with those reported in prior literature. However, caution should be exercised when interpreting general population studies that use CIDI-defined BD owing to the possibility of misclassification.

Physical activity interventions in schools for improving lifestyle in European countries

Background : In the last decades, children’s and adolescents’ obesity and overweight have increased in European Countries. Unhealthy eating habits and sedentary lifestyle have been recognized to determine such an epidemic. Schools represent an ideal setting to modify harmful behaviors, and physical activity could be regarded as a potential way to avoid the metabolic risks related to obesity. Methods : A systematic review of the literature was carried out to summarize the evidence of school-based interventions aimed to promote, enhance and implement physical activity in European schools. Only randomized controlled trials were included, carried out in Europe from January 2000 to April 2014, universally delivered and targeting pupils aged between 3 and 18 years old. Results : Forty-seven studies were retrieved based either on multicomponent interventions or solely physical activity programs. Most aimed to prevent obesity and cardiovascular risks among youths. While few studies showed a decrease in BMI, positive results were achieved on other outcomes, such as metabolic parameters and physical fitness. Conclusion : Physical activity in schools should be regarded as a simple, non-expensive and enjoyable way to reach all the children and adolescents with adequate doses of moderate to vigorous physical activity.

Elevated Hospitalization Risk of Assisted Living Residents With Dementia in Alberta, Canada

OBJECTIVES

Assisted living (AL) is an increasingly used residential option for older adults with dementia; however, lower staffing rates and service availability raise concerns that such residents may be at increased risk for adverse outcomes. Our objectives were to determine the incidence of hospitalization over 1 year for dementia residents of designated AL (DAL) facilities, compared with long-term care (LTC) facilities, and identify resident- and facility-level predictors of hospitalization among DAL residents.

METHODS

Participants were 609 DAL (mean age 85.7 ± 6.6 years) and 691 LTC (86.4 ± 6.9 years) residents with dementia enrolled in the Alberta Continuing Care Epidemiological Studies. Research nurses completed a standardized comprehensive assessment of residents and interviewed family caregivers at baseline (2006-2008) and 1 year later. Standardized administrator interviews provided facility level data. Hospitalization was determined via linkage with the provincial Inpatient Discharge Abstract Database. Multivariable Cox proportional hazards models were used to identify predictors of hospitalization.

RESULTS

The cumulative annual incidence of hospitalization was 38.6% (34.5%-42.7%) for DAL and 10.3% (8.0%-12.6%) for LTC residents with dementia. A significantly increased risk for hospitalization was observed for DAL residents aged 90+ years, with poor social relationships, less severe cognitive impairment, greater health instability, fatigue, high medication use (11+ medications), and 2+ hospitalizations in the preceding year. Residents from DAL facilities with a smaller number of spaces, no chain affiliation, and from specific health regions showed a higher risk of hospitalization.

CONCLUSIONS

DAL residents with dementia had a hospitalization rate almost 4-fold higher than LTC residents with dementia. Our findings raise questions about the ability of some AL facilities to adequately address the needs of cognitively impaired residents and highlight potential clinical, social, and policy areas for targeted interventions to reduce hospitalization risk.

The wisdom of crowds (vox populi) and antidepressant use

Under certain conditions, groups of people may (collectively) make better judgments than experts. Galton connected this phenomenon to the phrase vox populi in a 1907 paper. Arguably, an example of the phenomenon may be found in recent stabilization of the frequency of antidepressant use, following decades of increases. There is no evidence that a change in physi-cian behaviour has caused this stabilization. The stable frequency more likely reflects decisions made by thousands of individual people based on their personal experiences. This may provide a statement from the vox populi on an optimal frequency of antidepressant use in contemporary populations under current conditions, a topic that has eluded the consensus of experts.

Validity of four screening scales for major depression in MS

BACKGROUND

There is a role for brief assessment instruments in detection and management of major depression in MS. However, candidate scales have rarely been validated against a validated diagnostic interview. In this study, we evaluated the performance of several candidate scales: Patient Health Questionnaire (PHQ)-9, PHQ-2, Center for Epidemiologic Studies Depression rating scale (CES-D), and Hospital Anxiety and Depression Scale (HADS-D) in relation to the Structured Clinical Interview for DSM-IV (SCID).

METHODS

The sample was an unselected series of 152 patients attending a multiple sclerosis (MS) clinic. Participants completed the scales during a clinic visit or returned them by mail. The SCID was administered by telephone within two weeks. The diagnosis of major depressive episode, according to the SCID, was used as a reference standard. Receiver-operator curves (ROC) were fitted and indices of measurement accuracy were calculated.

RESULTS

All of the scales performed well, each having an area under the ROC > 90%. For example, the PHQ-9 had 95% sensitivity and 88.3% specificity when scored with a cut-point of 11. This cut-point achieved a 56% positive predictive value for major depression.

CONCLUSIONS

While all of the scales performed well in terms of their sensitivity and specificity, the availability of the PHQ-9 in the public domain and its brevity may enhance the feasibility of its use.

The prevalence of major depression is not changing

OBJECTIVE

To evaluate trends in the prevalence of major depressive episodes (MDEs) in Canada during the past 2 decades using data collected in a series of national surveys.

METHOD

MDE prevalence has been assessed in national surveys that either used a short form version of the Composite International Diagnostic Interview Short Form for Major Depression (CIDI-SFMD) or an adaptation of the World Health Organization's (full-length) version, World Mental Health (WMH) CIDI. We applied meta-regression methods to adjust for instrument type while also addressing design effects in the individual data sets. Interprovincial differences that might have confounded estimation of national trends were also explored.

RESULTS

Interprovincial differences were not found to be significant, nor were time by province interactions. Estimates based on the WMH-CIDI were about 1% lower than those using the CIDI-SFMD. There was no evidence of changing prevalence over time, with slope for time, adjusted for assessment instrument, being nearly zero (β=0.0007, P=0.24).

CONCLUSION

An extensive collection of surveys conducted in Canada between 1994 and 2012 provide an opportunity to examine long-term trends in the prevalence of major depression. MDE prevalence has not changed during this period of time.

Descriptive epidemiology of major depressive disorder in Canada in 2012

OBJECTIVE

The epidemiology of major depressive disorder (MDD) was first described in the Canadian national population in 2002. Updated information is now available from a 2012 survey: the Canadian Community Health Study-Mental Health (CCHS-MH).

METHOD

The CCHS-MH employed an adaptation of the World Health Organization World Mental Health Composite International Diagnostic Interview and had a sample of n=25 113. Demographic variables, treatment, comorbidities, suicidal ideation, and perceived stigma were assessed. The analysis estimated adjusted and unadjusted frequencies and prevalence ratios. All estimates incorporated analysis methods to account for complex survey design effects.

RESULTS

The past-year prevalence of MDD was 3.9% (95% CI 3.5% to 4.2%). Prevalence was higher in women and in younger age groups. Among respondents with past-year MDD, 63.1% had sought treatment and 33.1% were taking an antidepressant (AD); 4.8% had past-year alcohol abuse and 4.5% had alcohol dependence. Among respondents with past-year MDD, the prevalence of cannabis abuse was 2.5% and that of dependence was 2.9%. For drugs other than cannabis, the prevalence of abuse was 2.3% and dependence was 2.9%. Generalized anxiety disorder was present in 24.9%. Suicide attempts were reported by 6.6% of respondents with past-year MDD. Among respondents accessing treatment, 37.5% perceived that others held negative opinions about them or treated them unfairly because of their disorder.

CONCLUSIONS

MDD is a common, burdensome, and stigmatized condition in Canada. Seeking help from professionals was reported at a higher frequency than in prior Canadian studies, but there has been no increase in AD use among Canadians with MDD.

Depression as a predictor of occupational transition in a multiple sclerosis cohort

In MS, transitions between working and not-working status may occur in association with depression. This can complicate patients' ability to promptly obtain disability support due to an expectation that their functioning will improve after the depression resolves, a viewpoint that sees depression assuming a role as a causal determinant of disability. In this study, prospective data were used to model the relationship between depressive symptoms and the transition out of employment. In unadjusted analyses, depression increased the risk of transition to non-working status, HR = 1.7 (95%CI 1.3-2.3). Adjustments for ambulation status, physical and mental quality of life composite scores and fatigue impact attenuated or eliminated the association. While depression commonly occurs around the time of occupational transitions in MS, it does not appear to be an independent or direct cause of such transitions.

Antidepressant use in Canada has stopped increasing

OBJECTIVE

Large increases in the use of antidepressants (ADs) were reported in the past 2 decades in many countries, including Canada. Our objective was to determine whether this pattern of increasing use has continued, using data from a 2012 national mental health survey.

METHOD

During the past 2 decades, a series of Canadian national health surveys have evaluated AD use in the household population. Some of these surveys have assessed past 2-day use whereas others have assessed self-reported past-month use. We applied meta-regression methods as a methodological strategy to address this heterogeneity and to examine long-term trends, incorporating 2012 data.

RESULTS

In keeping with prior reports, AD use rapidly increased in the 1990s and early 2000s. However, the 2012 data suggest that these increases have slowed or perhaps even stopped in recent years. A post hoc examination of longitudinal data from the National Population Health Survey reinforced the impression of a levelling off in the use of these medications.

CONCLUSION

The frequency of AD use may now be stabilizing in the Canadian population. This emerging steady state may reflect a contemporary balance between the perceived need, perceived effectiveness, and acceptability of these medications in the general population.

Changing perceptions of mental health in Canada

OBJECTIVE

Epidemiologic studies typically assess mental health using diagnostic measures or symptom severity measures. However, perceptions are also important. The objective of our study was to evaluate trends in perceived mental health in Canada during the past 20 years using data collected in a series of surveys.

METHOD

Perceived mental health status, the stressfulness of most days, and perceived general health, have been repeatedly measured in national surveys. In our study, the resulting frequencies and 95% confidence intervals were calculated. Distress was also assessed in the same surveys with the Kessler 6 Psychological Distress Scale, and analyzed using mean scores and frequencies based on cut-points. Data synthesis used forest plots. Time trends were assessed using random effects meta-regression models.

RESULTS

No detectable changes in distress were found. Similarly, self-rated general health remained stable. However, over time, Canadians became slightly more likely to report that their mental health was merely fair or poor. Conversely, they have been progressively less likely to perceive that their lives are quite a bit or extremely stressful.

CONCLUSION

While these observations are ecological, the 2 trends may be related: distressing emotional experiences may increasingly be interpreted as evidence of a disturbance of mental health rather than a reaction to stressful circumstances. These changing perceptions should not be misinterpreted as an epidemic of poor mental health.

The diagnostic accuracy of the Patient Health Questionnaire-2 (PHQ-2), Patient Health Questionnaire-8 (PHQ-8), and Patient Health Questionnaire-9 (PHQ-9) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses

BACKGROUND

Major depressive disorder (MDD) may be present in 10%-20% of patients in medical settings. Routine depression screening is sometimes recommended to improve depression management. However, studies of the diagnostic accuracy of depression screening tools have typically used data-driven, exploratory methods to select optimal cutoffs. Often, these studies report results from a small range of cutoff points around whatever cutoff score is most accurate in that given study. When published data are combined in meta-analyses, estimates of accuracy for different cutoff points may be based on data from different studies, rather than data from all studies for each possible cutoff point. As a result, traditional meta-analyses may generate exaggerated estimates of accuracy. Individual patient data (IPD) meta-analyses can address this problem by synthesizing data from all studies for each cutoff score to obtain diagnostic accuracy estimates. The nine-item Patient Health Questionnaire-9 (PHQ-9) and the shorter PHQ-2 and PHQ-8 are commonly recommended for depression screening. Thus, the primary objectives of our IPD meta-analyses are to determine the diagnostic accuracy of the PHQ-9, PHQ-8, and PHQ-2 to detect MDD among adults across all potentially relevant cutoff scores. Secondary analyses involve assessing accuracy accounting for patient factors that may influence accuracy (age, sex, medical comorbidity).

METHODS/DESIGN

Data sources will include MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, PsycINFO, and Web of Science. We will include studies that included a Diagnostic and Statistical Manual or International Classification of Diseases diagnosis of MDD based on a validated structured or semi-structured clinical interview administered within 2 weeks of the administration of the PHQ. Two reviewers will independently screen titles and abstracts, perform full article review, and extract study data. Disagreements will be resolved by consensus. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Bivariate random-effects meta-analysis will be conducted for the full range of plausible cutoff values.

DISCUSSION

The proposed IPD meta-analyses will allow us to obtain estimates of the diagnostic accuracy of the PHQ-9, PHQ-8, and PHQ-2.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42014010673.

Germaine-Smith C, Metcalfe A, Patten SB, Beck CA. Systematic review and assessment of validated case definitions for depression in administrative data

BACKGROUND

Administrative data are increasingly used to conduct research on depression and inform health services and health policy. Depression surveillance using administrative data is an alternative to surveys, which can be more resource-intensive. The objectives of this study were to: (1) systematically review the literature on validated case definitions to identify depression using International Classification of Disease and Related Health Problems (ICD) codes in administrative data and (2) identify individuals with and without depression in administrative data and develop an enhanced case definition to identify persons with depression in ICD-coded hospital data.

METHODS

(1) Systematic review: We identified validation studies using ICD codes to indicate depression in administrative data up to January 2013. (2) VALIDATION: All depression case definitions from the literature and an additional three ICD-9-CM and three ICD-10 enhanced definitions were tested in an inpatient database. The diagnostic accuracy of all case definitions was calculated [sensitivity (Se), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV)].

RESULTS

(1) Systematic review: Of 2,014 abstracts identified, 36 underwent full-text review and three met eligibility criteria. These depression studies used ICD-9 and ICD-10 case definitions. (2) VALIDATION: 4,008 randomly selected medical charts were reviewed to assess the performance of new and previously published depression-related ICD case definitions. All newly tested case definitions resulted in Sp >99%, PPV >89% and NPV >91%. Sensitivities were low (28-35%), but higher than for case definitions identified in the literature (1.1-29.6%).

CONCLUSIONS

Validating ICD-coded data for depression is important due to variation in coding practices across jurisdictions. The most suitable case definitions for detecting depression in administrative data vary depending on the context. For surveillance purposes, the most inclusive ICD-9 & ICD-10 case definitions resulted in PPVs of 89.7% and 89.5%, respectively. In cases where diagnostic certainty is required, the least inclusive ICD-9 and -10 case definitions are recommended, resulting in PPVs of 92.0% and 91.1%. All proposed case definitions resulted in suboptimal levels of sensitivity (ranging from 28.9%-35.6%). The addition of outpatient data (such as pharmacy records) for depression surveillance is recommended and should result in improved measures of validity.

Key ingredients of anti-stigma programs for health care providers: a data synthesis of evaluative studies

OBJECTIVE

As part of its ongoing effort to combat stigma against mental illness among health care providers, the Mental Health Commission of Canada partnered with organizations conducting anti-stigma interventions. Our objective was to evaluate program effectiveness and to better understand what makes some programs more effective than others. Our paper reports the elements of these programs found to be most strongly associated with favourable outcomes.

METHODS

Our study employed a multi-phased, mixed-methods design. First, a grounded theory qualitative study was undertaken to identify key program elements. Next, each program (n = 22) was coded according to the presence or absence of the identified key program ingredients. Then, random-effects, meta-regression modelling was used to examine the association between program outcomes and the key ingredients.

RESULTS

The qualitative analysis led to a 6-ingredient model of key program elements. Results of the quantitative analysis showed that programs that included all 6 of these ingredients performed significantly better than those that did not. Individual analyses of each of the 6 ingredients showed that including multiple forms of social contact and emphasizing recovery were characteristics of the most effective programs.

CONCLUSIONS

The results provide a validation of a 6-ingredient model of key program elements for anti-stigma programming for health care providers. Emphasizing recovery and including multiple types of social contact are of particular importance for maximizing the effectiveness of anti-stigma programs for health care providers.