Exploring adolescent mental health during the COVID-19 crisis - strengths and difficulties

Introduction

The SARS-CoV-2 pandemic has significantly impacted children and adolescents, leading to mental health challenges. Knowledge on their resources and difficulties is crucial and there is a need for valid instruments to assess their psychosocial condition especially in this exceptional situation. We assessed psychopathological symptoms using the SDQ during the pandemic, comparing to pre-pandemic data. Our study aims to understand adolescents' strengths and difficulties amidst COVID-19, evaluating the SDQ's utility in crisis settings.

Methods

Within the German school-based surveillance study ("B-Fast"), we assessed behavioral strengths and difficulties in 664 adolescents aged 11-17 years during the peak of the German COVID-19 pandemic using the validated Strengths and Difficulties Questionnaire (SDQ) for both external and self-assessed data collection. Data were collected between November 2020 and April 2021. We compared self-assessed SDQ-scores to pre-pandemic data from a comparable sample and examined adolescent classification as "normal" or "borderline/abnormal" based on both external and self-assessed SDQ subscale scores using established cut-off values. Additionally, we conducted sex and rater-based score comparisons.

Results

In our study, we observed a significant worsening of "Emotional Symptoms" compared to pre-pandemic levels, while "Conduct Problems" and "Prosocial Behavior" showed improvement. Variations in classification to "normal" and "abnormal" emerged when applying German versus British cut-off values. Females scored higher on "Emotional Symptoms" while males scored higher on "Hyperactivity Symptoms." Correlations between external and self-assessed SDQ ratings ranged from 0.43 (p < 0.001) for "Prosocial Behavior" among girls to 0.62 (p < 0.001) for "Peer Problems" among boys, indicating moderate to high consistency.

Discussion/conclusion

Our study contributes to understanding the psychosocial impact of the COVID-19 pandemic on German adolescents. Compared to other symptoms, we observed a particular worsening in "Emotional Symptoms" based on our data. Despite the moderate correlation between parental and self-reported evaluations, there appears to be a certain discrepancy in the perception of adolescent quality of life. Therefore, it seems prudent to assess both the external and self-reported evaluations and amalgamate the results from both parties to obtain a comprehensive problem profile of the individual. These findings underscore the importance of using country-specific cutoff values and reaffirm the utility of the SDQ as a valuable assessment tool, even within the unique circumstances posed by a pandemic.

Cross-culturally adapting the GHQ-12 for use with refugee populations: Opportunities, dilemmas, and challenges

This article discusses the opportunities, dilemmas, and challenges involved in the cross-cultural adaptation (CCA) of psychological scales for use with refugee populations. It draws on insights derived from an attempt to adapt the 12-item General Health Questionnaire (GHQ-12) to the particular culture and context of Eritrean refugees residing in Israel. Multiple techniques including expert translations, a focus-group discussion, a survey, and piloting, were employed to attain a cross-cultural and conceptually equivalent measure. During the CCA process, the research team encountered issues pertaining to conceptual non-equivalence, the structure of the measure's responses and scoring system, and acceptability. These issues required the team to move beyond semantic translation by adapting certain items. This study demonstrates the compromises which need to be made in the adaptation process and indicates the potential bias which each of these compromises introduces. Despite its limitations, CCA does appear to significantly improve detection of mental health symptoms in refugee populations. Overall, the results of the present study provide support for the notion that the sensitive and appropriate assessment of individuals from refugee backgrounds requires adopting a rigorous, systematic, and contextual approach to instrument adaptation, with an emphasis on the integration of idioms of distress as well as the adaptation of Likert-type scales.

Factors Associated with Time to Receiving Gender-Affirming Hormones and Puberty Blockers at a Pediatric Clinic Serving Transgender and Nonbinary Youth

Purpose

To describe barriers to care for a cohort of transgender and nonbinary (TNB) youth and examine factors associated with delays in receiving puberty blockers (PBs) or gender-affirming hormones (GAHs).

Methods

We used longitudinal data from a prospective cohort of TNB youth seeking care at a multidisciplinary pediatric gender clinic between August 2017 and June 2018. We calculated the time between (i) initial clinic contact, (ii) phone intake, (iii) first medical appointment, and (iv) initiating PBs/GAHs. We estimated Kaplan-Meier curves for each time-to-care interval and used Cox regression models to estimate hazard ratios (HRs) for factors hypothesized to be barriers and facilitators of care.

Results

Our cohort included 104 youth aged 13-20 years. The median time from contacting the clinic to initiating PBs/GAHs was 307 days (range, 54-807). Lower income level, Medicaid insurance, and lack of family support were associated with longer times from contacting the clinic to completing the first medical appointment. In addition, older youth experienced longer times to first medical appointment relative to youth aged 13-14 years. Youth younger than 18 years of age who did not complete a mental health assessment before their first medical appointment experienced delays from first medical appointment to initiating PBs/GAHs (HR=0.44, 95% confidence interval, 0.22-0.88).

Conclusion

Certain subsets of youth disproportionately experienced delays in receiving gender-affirming medications, and these factors varied by stage of care engagement. Given the association between gender-affirming care and improved mental health, identifying sociostructural and clinic-level barriers to care is critically important to facilitating more equitable access.

[Application and Progress of Intelligent Assistant Diagnosis in Mental Health Assessment System]

The establishment of mental health assessment system provides a new way for the early diagnosis of mental health problems, in view of the growing population of mental diseases and problems and the uneven distribution of mental health resources. In the mental health assessment system, intelligent assistant diagnosis can assist or help psychiatrists improve their work efficiency. Intelligent assistant diagnosis provides technical support for predictive screening and auxiliary diagnosis of mental health problems. It is an intelligent diagnosis research based on big data analysis and machine learning in mental health assessment system. This article mainly reviews the application methods, the application progress in the field of mental health, as well as related technical issues and safety issues, and prospects the future research development.

Initial examination of the mental health disorders: screening instrument for athletes

Introduction

There is a need to psychometrically develop assessment instruments capable of screening mental health disorders in athlete populations. The current study was conducted to determine reliability, validity and clinical utility of the Mental Health Disorders Screening Instrument for Athletes (MHDSIA).

Methods and results

259 collegiate athletes completed the MHDSIA. Factor analysis determined a single factor with good internal consistency, and this factor was positively correlated with an established measure of psychiatric symptomology (Symptom Checklist 90-R), demonstrating its concurrent validity. An optimum clinical cutoff score (i.e., 32) was determined using Receiver Operating Characteristic (ROC) analyses to assist appropriate mental health referrals.

Discussion

Results suggest the MHSIA is a reliable, valid, and relatively quick and easy to interpret screen for the broad spectrum of mental health disorders in collegiate athletes. As expected, NCAA athletes reported lower MHDSIA scores than club and intramural athletes, while males reported similar severity scores as females.

Depression and Hand-Grip: Unraveling the Association

This review article explores the association between hand-grip strength and depression. A total of 14 studies were carefully considered to provide a comprehensive analysis of the topic. The studies reveal a consistent association between low hand-grip strength and depressive symptoms, independent of age, gender, and chronic disease status. The evidence suggests that hand-grip strength assessment could be a useful tool for identifying individuals at risk of depression, particularly older adults and those with chronic diseases. Incorporating physical activity and strength training into treatment plans can contribute to better mental health outcomes. Hand-grip strength assessment can also be used as a monitoring tool to track changes in physical and mental health over time in individuals with depression. Healthcare professionals should consider the relationship between hand-grip strength and depression when evaluating patients and developing treatment plans. The findings from this comprehensive clinical review have important clinical implications and highlight the importance of considering physical health factors in the context of mental health.

A measurement method for mental health based on dynamic multimodal feature recognition

Introduction

The number of college students with mental problems has increased significantly, particularly during COVID-19. However, the clinical features of early-stage psychological problems are subclinical, so the optimal intervention treatment period can easily be missed. Artificial intelligence technology can efficiently assist in assessing mental health problems by mining the deep correlation of multi-dimensional data of patients, providing ideas for solving the screening of normal psychological problems in large-scale college students. Therefore, we propose a mental health assessment method that integrates traditional scales and multimodal intelligent recognition technology to support the large-scale and normalized screening of mental health problems in colleges and universities.

Methods

Firstly, utilize the psychological assessment scales based on human-computer interaction to conduct health questionnaires based on traditional methods. Secondly, integrate machine learning technology to identify the state of college students and assess the severity of psychological problems. Finally, the experiments showed that the proposed multimodal intelligent recognition method has high accuracy and can better proofread normal scale results. This study recruited 1,500 students for this mental health assessment.

Results

The results showed that the incidence of moderate or higher stress, anxiety, and depression was 36.3, 48.1, and 23.0%, which is consistent with the results of our multiple targeted tests.

Conclusion

Therefore, the interactive multimodality emotion recognition method proposed provides an effective way for large-scale mental health screening, monitoring, and intervening in college students' mental health problems.

Older adult psychopathology: international comparisons of self-reports, collateral reports, and cross-informant agreement

OBJECTIVES

To conduct international comparisons of self-reports, collateral reports, and cross-informant agreement regarding older adult psychopathology.

PARTICIPANTS

We compared self-ratings of problems (e.g. I cry a lot) and personal strengths (e.g. I like to help others) for 10,686 adults aged 60-102 years from 19 societies and collateral ratings for 7,065 of these adults from 12 societies.

MEASUREMENTS

Data were obtained via the Older Adult Self-Report (OASR) and the Older Adult Behavior Checklist (OABCL; Achenbach et al., ).

RESULTS

Cronbach's alphas were .76 (OASR) and .80 (OABCL) averaged across societies. Across societies, 27 of the 30 problem items with the highest mean ratings and 28 of the 30 items with the lowest mean ratings were the same on the OASR and the OABCL. Q correlations between the means of the 0-1-2 ratings for the 113 problem items averaged across all pairs of societies yielded means of .77 (OASR) and .78 (OABCL). For the OASR and OABCL, respectively, analyses of variance (ANOVAs) yielded effect sizes (ESs) for society of 15% and 18% for Total Problems and 42% and 31% for Personal Strengths, respectively. For 5,584 cross-informant dyads in 12 societies, cross-informant correlations averaged across societies were .68 for Total Problems and .58 for Personal Strengths. Mixed-model ANOVAs yielded large effects for society on both Total Problems (ES = 17%) and Personal Strengths (ES = 36%).

CONCLUSIONS

The OASR and OABCL are efficient, low-cost, easily administered mental health assessments that can be used internationally to screen for many problems and strengths.

Associations among Self-Reported Mental Health, Physical Activity, and Diet during the COVID-19 Pandemic

Background: Understanding the relationship between physical activity, diet, and mental health during the COVID-19 pandemic may help inform resources encouraging healthy lifestyle choices during the time of an increased threat to health and wellbeing. Aim: Our objective was to examine how self-rated mental health was associated with engagement in physical activity and consumption of fruits and vegetables during the COVID-19 pandemic. Methods: The study utilized cross-sectional survey data from adults (≥18 years of age) living, working, and/or receiving healthcare in Arkansas (n  =  754). Multivariable regression models were used to examine the associations between self-rated mental health and the number of days respondents engaged in 30 min of physical activity and the number of days respondents consumed five or more servings of fruits and vegetables. Results: Respondents who reported somewhat poor/poor mental health reported engaging in at least 30 min of physical activity fewer days per week (β  =  -.77, p  =  .018) compared with those reporting excellent mental health, after controlling for sociodemographic factors and self-rated health. The significant association observed in the first two models between mental health and number of days consuming five or more servings of fruits and vegetables became non-significant after inclusion of self-rated health. Conclusion: The relationship between mental health and physical activity and diet reaffirms a need for healthcare providers to promote the importance of maintaining both a healthy physical activity level and a nutrient-rich diet in the face of challenging circumstances, such as a global pandemic.

The Gaps Between the Self and Professional Evaluation in Mental Health Assessment of COVID-19 Cluster Cases

Objective: To analyze the discrepancy between self-rating and professional evaluation of mental health status in coronavirus disease 2019 (COVID-19) cluster cases.

Method: A total of 65 COVID-19 cluster cases admitted to Beijing Ditan Hospital Capital Medical University from June 14, 2020 to June 16, 2020 were included in the study. Mental health assessment was completed by self-rating and professional evaluation. The gaps between self-rating and professional evaluation in different demographic characteristics were compared.

Results: The results of self-rating were inconsistent with those of professional evaluation. The gap was statistically different among certain demographic subgroups. As for anxiety, the gaps had remarkable statistics differences in subgroups of sex, monthly income, infection way, and anxiety/depression medical history. Similarly, in the terms of depression, the gaps had significant statistic differences in the subgroups of the medical history of anxiety/depression, history of physical disease, employment status and the insurance type, marriage, education (year), residing in Beijing (year), and the monthly income.

Conclusion: Compared to the professional evaluation, patients had a higher self-rating, which may be related to some demographic characteristics. It suggests that screening can be conducted in patients with COVID-19 by self-rating first, and then professional evaluation should be carried out in the patients with suspicious or positive results.

Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study

BACKGROUND

The assessment of behaviors related to mental health typically relies on self-report data. Networked sensors embedded in smartphones can measure some behaviors objectively and continuously, with no ongoing effort.

OBJECTIVE

This study aims to evaluate whether changes in phone sensor-derived behavioral features were associated with subsequent changes in mental health symptoms.

METHODS

This longitudinal cohort study examined continuously collected phone sensor data and symptom severity data, collected every 3 weeks, over 16 weeks. The participants were recruited through national research registries. Primary outcomes included depression (8-item Patient Health Questionnaire), generalized anxiety (Generalized Anxiety Disorder 7-item scale), and social anxiety (Social Phobia Inventory) severity. Participants were adults who owned Android smartphones. Participants clustered into 4 groups: multiple comorbidities, depression and generalized anxiety, depression and social anxiety, and minimal symptoms.

RESULTS

A total of 282 participants were aged 19-69 years (mean 38.9, SD 11.9 years), and the majority were female (223/282, 79.1%) and White participants (226/282, 80.1%). Among the multiple comorbidities group, depression changes were preceded by changes in GPS features (Time: r=-0.23, P=.02; Locations: r=-0.36, P<.001), exercise duration (r=0.39; P=.03) and use of active apps (r=-0.31; P<.001). Among the depression and anxiety groups, changes in depression were preceded by changes in GPS features for Locations (r=-0.20; P=.03) and Transitions (r=-0.21; P=.03). Depression changes were not related to subsequent sensor-derived features. The minimal symptoms group showed no significant relationships. There were no associations between sensor-based features and anxiety and minimal associations between sensor-based features and social anxiety.

CONCLUSIONS

Changes in sensor-derived behavioral features are associated with subsequent depression changes, but not vice versa, suggesting a directional relationship in which changes in sensed behaviors are associated with subsequent changes in symptoms.

Measuring mental health burden in humanitarian settings: a critical review of assessment tools

Background

The effects of disasters and conflicts are widespread and heavily studied. While attention to disasters’ impacts on mental health is growing, mental health effects are not well understood due to inconsistencies in measurement.

Objective

The purpose of this study is to review mental health assessment tools and their use in populations affected by disasters and conflicts.

Method

Tools that assess posttraumatic stress disorder, depression, substance use disorder, and general mental health were examined. This review began with a search for assessment tools in PubMed, PsycINFO, and Google Scholar. Next, validation studies for the tools were obtained through snowball sampling. A final search was conducted for scientific studies using the selected tools in humanitarian settings to collect the data for analysis. The benefits and limitations described for each tool were compiled into a complete table.

Results

Twelve assessment tools were included, with 88 studies using them. The primary findings indicate that half of the studies used the Impact of Events Scale-Revised. The most common limitation discussed is that self-report tools inaccurately estimate the prevalence of mental health problems. This inaccuracy is further exacerbated by a lack of cultural appropriateness of the tools, as many are developed for Western contexts.

Conclusion

It is recommended that researchers and humanitarian workers reflect on the effectiveness of the mental health assessment tool they use to accurately represent the populations under study in emergency settings. In addition, mental health assessment should be coupled with action.

Are current mental health assessment formats consistent with contemporary thinking and practice?

Conducting and documenting a mental health assessment is considered a central activity from a clinical and organizational perspective. In recent years, thinking and practice in mental health service delivery has changed considerably to embrace principles of recovery, trauma-informed care, and strengths-based approaches. The aim of the present study was to determine the degree to which these concepts are reflected in the content of assessment formats across mental health services in Australia and New Zealand. Copies of mental health assessments used in each state and territory in Australia, and three District Health Boards in New Zealand were obtained. Assessment formats were compared for similarities and differences, and to determine whether concepts of recovery, trauma-informed care, and strengths-based approaches were incorporated. The assessment formats analysed (n = 11) contained many traditional features targeted at identifying harms, problems, risks, and pathology. Some attempts to redress this discrepancy were evident. Overall, assessment formats did not adequately voice the individual's perspective or promote a truly comprehensive assessment through an exploration of individual strengths, skills and abilities, past successes, and future hopes. Assessment formats across Australia and New Zealand are not currently aligned with contemporary thinking and practice in mental health care. Given the heavy influence that mental health assessment has on clinical decision making in particular, a reappraisal of the focus and content of formats used is urgently required.

Developing an African youth psychosocial assessment: an application of item response theory

This study aimed to refine a dimensional scale for measuring psychosocial adjustment in African youth using item response theory (IRT). A 60-item scale derived from qualitative data was administered to 667 war-affected adolescents (55% female). Exploratory factor analysis (EFA) determined the dimensionality of items based on goodness-of-fit indices. Items with loadings less than 0.4 were dropped. Confirmatory factor analysis (CFA) was used to confirm the scale's dimensionality found under the EFA. Item discrimination and difficulty were estimated using a graded response model for each subscale using weighted least squares means and variances. Predictive validity was examined through correlations between IRT scores (θ) for each subscale and ratings of functional impairment. All models were assessed using goodness-of-fit and comparative fit indices. Fisher's Information curves examined item precision at different underlying ranges of each trait. Original scale items were optimized and reconfigured into an empirically-robust 41-item scale, the African Youth Psychosocial Assessment (AYPA). Refined subscales assess internalizing and externalizing problems, prosocial attitudes/behaviors and somatic complaints without medical cause. The AYPA is a refined dimensional assessment of emotional and behavioral problems in African youth with good psychometric properties. Validation studies in other cultures are recommended.

The reliability of British Sign Language and English versions of the Clinical Outcomes in Routine Evaluation--Outcome Measure with d/Deaf populations in the UK: an initial study

Previous research has argued that the mental well-being of d/Deaf people is poorer than that of hearing populations. However, there is a paucity of valid and reliable mental health instruments in sign language that have been normalised with d/Deaf populations. The aim of this study was to determine the reliability of the Clinical Outcomes in Routine Evaluation - Outcome Measure (CORE-OM) with d/Deaf populations. A British Sign Language (BSL) version was produced using a team approach to forward translation, and a back-translation check. The CORE-OM was incorporated into an online survey, to be completed in either BSL or English, as preferred by the participant. From December 2010 to March 2011, data were collected from 136 d/Deaf people. Cronbach's α was used to measure the internal consistency of items in the CORE-OM. Comparisons were made between versions, including comparisons with the non-clinical hearing population (not in receipt of mental health services) in a previous study. The reliability of the overall score, as well as the non-risk items in both the BSL and English versions, was satisfactory. The internal reliability of each domain in the BSL version was good (Cronbach's α > 0.70) and comparable to the English version in the hearing population. This was true for most domains of the CORE-OM in the English version completed by d/Deaf people, although the Functioning domain had a relatively low α of 0.79 and the Risk domain had an α of only 0.66 This raised the question whether it is advisable to use a mental health assessment with d/Deaf populations that has been standardised with hearing populations. Nevertheless, this study has shown that it is possible to collect data from d/Deaf populations in the UK via the web (both in BSL and English), and an online BSL version of the CORE-OM is recommended for use with Deaf populations in the community.

Referral for management of emotional health issues during the perinatal period: does mental health assessment make a difference?

BACKGROUND

There exists little evidence that routine assessment of current or past mental health in the perinatal period positively impacts on rates of referral for emotional health issues. This study aimed to evaluate the impact of this early intervention approach on reported referrals for emotional health issues during pregnancy and the first postpartum year.

METHOD

A subsample of women (N = 1,804) drawn from the Australian Longitudinal Study on Women's Health participated in the study.

RESULTS

Multivariate analyses showed that predictors of being given a referral for emotional health issues during pregnancy and the postnatal period, respectively, included assessment of past mental health (Adjusted Odds Ratio [AOR] = 4.40, p < 0.001, and AOR = 5.69, p < 0.001), assessment of current mental health (AOR = 2.47, p < 0.001, and AOR = 2.72, p < 0.001), and reported experience of significant emotional distress (AOR = 2.58, p < 0.001, and AOR = 2.83, p < 0.001). The odds of receiving a referral were up to 16 times greater for women who were asked about both their past and current mental health than for women who did not receive any form of mental health assessment.

CONCLUSIONS

This study highlights that enquiry into risk factors such as past history (in addition to current mental health) enhances initiation of referrals. Importantly, results suggest that enquiry about current mental health is associated with appropriate rates of referral rather than a nonspecific inflation of referrals. In line with Australia's Clinical Practice Guidelines for Perinatal Mental Health, the value of a comprehensive approach to mental health assessment to aid decision making around referral for further assessment or care is particularly evident.

The Global Mental Health Assessment Tool-validation in Hindi: A validity and feasibility study

BACKGROUND

A computer-assisted interview, the Global Mental Health Assessment Tool-validation (GMHAT/PC) has been developed to assist general practitioners and other health professionals to make a quick, convenient, yet reasonably comprehensive standardized mental health assessment. GMHAT/PC has been translated into various languages including Hindi. This is the first study conducted in India, using the Hindi version GMHAT/PC of the series of studies assessing its validity in different cultures.

AIM

The study aims to assess the feasibility of using a computer assisted diagnostic interview by health professionals and to examine the level of agreement between the Hindi version GMHAT/PC diagnosis and psychiatrists' ICD-10 based clinical diagnosis.

DESIGN

Cross-sectional validation study.

SETTING

Psychiatric clinic of a General Hospital and an out patient (Neurology) clinic in the Teaching General Hospital in Jaipur, India.

MATERIALS AND METHODS

All consecutive patients attending the psychiatric out patient clinic were interviewed using GMHAT/PC and psychiatrists made a diagnosis applying ICD-10 criteria for a period of six weeks. A small sample of subjects was interviewed in a similar way in a Neurology clinic for four weeks.

RESULTS

The mean duration of interview was under 17 minutes. Most patients were pleased that they were asked about every aspect of their mental health. The agreement between psychologists' GMHAT/PC interview diagnoses and psychiatrists' clinical diagnoses was excellent (Kappa 0.96, sensitivity 1.00, and specificity 0.94).

CONCLUSION

GMHAT/PC Hindi version detected mental disorders accurately and it was feasible to use GMHAT/PC in Indian settings.

Understanding the expanding role of primary care physicians (PCPs) to primary psychiatric care physicians (PPCPs): enhancing the assessment and treatment of psychiatric conditions

Aim In the current healthcare system primary care physicians (PCPs) have, in effect, become the primary psychiatric care physicians (PPCPs) for many of their patients. Being the PPCP in an already busy and stressful medical industry presents additional time management and treatment challenges to successfully manage patients' medical and psychiatric needs. The aim of the study was to ascertain PCPs' psychiatric assessment and treatment practices and to determine the extent to which PCPs have a need for using a structured psychiatric assessment tool.Method We sent 300 PCPs a survey to examine their psychiatric assessment and treatment practices. A one-page questionnaire was used to inquire about PCPs' psychiatric care practice habits including types of conditions treated, psychiatric medications prescribed, assessment methods used, interest in using a structured assessment tool and referral sources used. Sixty-eight usable surveys (23%) were returned.Results PCPs identify approximately one-third of their patients as mental health patients. They are treating a wide range of psychiatric conditions and prescribing a variety of psychiatric medications. The vast majority are using traditional clinical interviewing as their primary method of psychiatric assessment. However, the majority were willing to use a structured psychiatric assessment tool.Conclusion PCPs are serving a useful role in providing psychiatric treatment to many of their patients. Using a more structured psychiatric assessment method in practice could ultimately strengthen the assessment and treatment of psychiatric conditions in primary care settings.

Correspondence of perceptions about centenarians' mental health

OBJECTIVES

The goals of this study were to uncover the criteria by which centenarians, proxy/caregivers, and interviewers rated centenarians' mental health. Often proxy and interviewer reports are obtained in studies of the oldest-old and become a primary source of information.

METHODS

Data were from a population-based sample of mentally competent US centenarians in northern Georgia. The dependent variables were based on alternative reports for the centenarians' mental or emotional health. Regression analysis was used to predict each source's rating of mental health separately with the same set of variables. These variables included information obtained from the centenarians and proxies about their distal experiences, demographics, and proximal resources including Mini-Mental Status Examination (MMSE), health, personality, socioeconomic resources, and coping behaviors.

RESULTS

Examination of mean-level differences between sources revealed similarity across mental health ratings. For centenarians and proxies, perceived economic status was a very important predictor of mental health. For centenarians and interviewers, personality (neuroticism and extraversion) was an important common predictor. The interviewer and proxy mental health ratings were strongly associated with MMSE, but that was not the case for centenarians.

CONCLUSION

Mean-level findings and the comparative regression results provide corroborating evidence that centenarians' self-reports of mental health are similar based on average ratings and presence of common associations with other raters (i.e., perceived economic status and personality). Implications of differences across rater pairs are discussed as guidance about the comparative value of substitution of proxies as informants for addressing specific influences on mental health.

Screening Efficiency of the Child Behavior Checklist and Strengths and Difficulties Questionnaire: A Systematic Review

OBJECTIVE

  Assess the screening efficiency of the caretaker-report CBCL and SDQ in community and clinical samples using published data.

METHODS

  PyschInfo, Medline, and EMBASE were systematically searched to identify studies with appropriate efficiency data. Estimates of sensitivity and specificity were extracted from identified studies and used to generate summary likelihood ratio estimates on which the scales were compared. Summary estimates of sensitivity and specificity were calculated with respect to a 'true' diagnosis to compare scales.

RESULTS

  A total of 29 and 3 studies met inclusion criteria for CBCL and SDQ respectively. Summary estimates of the likelihood ratios for domains assessed by CBCL ranged from 3.86 (2.23, 6.69) to 4.87 (2.90, 8.18); and for SDQ from 5.02 (1.61, 15.63) to 8.32 (2.72, 25.48). Heterogeneity was low. For total problems, the SDQ caretaker-report was found to be most specific (0.93, 95% CI 0.92, 0.94) and the CBCL caretaker-report to be most sensitive (0.66, 95%CI 0.60, 0.73).

CONCLUSIONS

  This meta-analysis supports continued use of the CBCL and SDQ via caretaker-report in clinical and community samples. Additional research is required to determine if there is a true difference in efficiency between the two scales.

Development, reliability and validity

The Global Mental Health Assessment Tool--Primary Care Version (GMHAT/PC) is a computerised clinical assessment tool developed to assess and identify a wide range of mental health problems in primary care. It generates a computer diagnosis, a symptom rating, a self-harm risk assessment, and a referral letter. Patients from primary care and community psychiatric outpatient clinics and a small sample of inpatients were interviewed for a period of two months using the GMHAT/PC. A proportion of patients were simultaneously rated by a psychiatrist and a general practitioner for inter-rater reliability. All patients also completed the Hospital Anxiety and Depression Scale (HAD). To conduct the interview was easy in all settings and took 10-15 minutes for patients who had psychiatric symptoms. Inter-rater agreement on mental state symptom groups ranged from 0.49 to 1 (kappa). The computer diagnosis correlated highly with the clinical diagnosis and there was a good level of agreement between HAD ratings and GMHAT/PC ratings. These data suggest that the GMHAT/PC is an easy to administer computerised tool which can be used in primary care for the standardised assessment of mental health problems.