Moving towards ICD-11 and DSM-V: Concept and evolution of psychiatric classification

People with dementia in nursing home research: a methodological review of the definition and identification of the study population

Background

There are various definitions and diagnostic criteria for dementia, leading to discrepancies in case ascertainment in both clinical practice and research. We reviewed the different definitions, approaches and measurements used to operationalize dementia in health care studies in German nursing homes with the aim of discussing the implications of different approaches.

Methods

We conducted a systematic search of the MEDLINE and CINAHL databases to identify pre-2016 studies conducted in German nursing homes that focused on residents with dementia or cognitive impairment. In- or exclusion of studies were consented by all authors; data extraction was independently carried out by 2 authors (RP, SJ). The studies’ sampling methods were compared with respect to their inclusion criteria, assessment tools and methods used to identify the study population.

Results

We summarized case ascertainment methods from 64 studies. Study participants were identified based on a diagnosis that was evaluated during the study, or a recorded medical dementia diagnosis, or a recorded medical diagnosis either with additional cognitive screenings or using screening tests exclusively. The descriptions of the diagnostics that were applied to assess a diagnosis of dementia were not fully transparent in most of the studies with respect to either a clear reference definition of dementia or applied diagnostic criteria. If reported, various neuropsychological tests were used, mostly without a clear rationale for their selection.

Conclusion

Pragmatic considerations often determine the sampling strategy; they also may explain the variances we detected in the different studies. Variations in sampling methods impede the comparability of study results. There is a need to consent case ascertainment strategies in dementia studies in health service research in nursing homes. These strategies should consider resource constraints and ethical issues that are related to the vulnerable population of nursing home residents. Additionally, reporting about dementia studies in nursing homes need to be improved. If a diagnosis cannot be evaluated based on either ICD or DSM criteria, the study population may not be reported as having dementia. If a diagnosis is evaluated based on ICD or DSM criteria within the study, there is a need for more transparency of the diagnostic process.

Electronic supplementary material

The online version of this article (doi:10.1186/s12877-016-0249-7) contains supplementary material, which is available to authorized users.

Disease network of mental disorders in Korea

PURPOSE

Network medicine considers networks among genes, diseases, and individuals. Networks of mental disorders remain poorly understood, despite their high comorbidity. In this study, a network of mental disorders in Korea was constructed to offer a complementary approach to treatment.

METHODS

Data on the prevalence and morbidity of mental disorders were obtained from the 2006 and 2011 Korean Epidemiologic Catchment Area Study, including 22 psychiatric disorders. Nodes in the network were disease phenotypes identified by Diagnostic and Statistical Manual of Mental Disorders-IV, and the links connected phenotypes showing significant comorbidity. Odds ratios were used to quantify the distance between disease pairs. Network centrality was analyzed with and without weighting of the links between disorders. Degree centrality was correlated with suicidal behaviors and use of mental health services.

RESULTS

In 2011 and 2006, degree centrality was highest for major depressive disorder, followed by nicotine dependence and generalized anxiety disorder (2011) or alcohol dependence (2006). Weighted degree centrality was highest in conversion disorder in both years.

CONCLUSIONS

Therefore, major depressive disorder and nicotine dependence are highly connected to other mental disorders in Korea, indicating their comorbidity and possibility of shared biological mechanisms. The use of networks could enhance the understanding of mental disorders to provide effective mental health services.

Detection and treatment of at-risk mental state for developing a first psychosis: making up the balance

The at-risk mental state (ARMS) has been substantially researched and used as the basis for new clinical settings and strategies over the past two decades. However, it has also caused controversy and intense debate. In this Review, we assess available evidence and propose future directions. Accumulating research suggests that a blend of clinical staging and profiling, which naturally incorporates ARMS, might be a better guide for treatment of patients in different stages of psychiatric illness than the categorical DSM and ICD systems. Furthermore, clinical staging, with its emphasis on balancing risks and benefits, could help to prevent premature treatment or overtreatment with psychotropic drugs. Meta-analyses and reviews show that treatment of ARMS leads to a significant reduction in transition rate to a first psychosis. The debate about stigma associated with ARMS is based on scarce published work. The few studies that have been done suggest that stigma (including self-stigma) arises largely from negative societal views on psychiatric disorders and, depending on the setting and approach, not from engagement in treatment for ARMS per se. The evidence base suggests that definition of ARMS is an important step in implementation of clinical staging and profiling in psychiatry. However, more research across traditional diagnostic boundaries is needed to refine these clinical phenotypes and link them to biomarkers with the goal of personalised stepwise care. Health-system reform is overdue and a parallel process to support this approach is needed, which is similar to how physical forms of non-communicable disease are treated.

Depression and the medicalization of sadness: conceptualization and recommended help-seeking

BACKGROUND

Critiques of the validity of the DSM diagnostic criteria for depressive disorder argue that it fails to differentiate between abnormal sadness due to internal dysfunction or depression (sadness without an identifiable cause), and normal sadness (sadness with a clear cause).

AIMS

and

METHODS

A population survey was undertaken in adult education centres in Spain aiming to explore beliefs about depression and normal sadness. Two hypothetical case vignettes portrayed individuals experiencing deep sadness, both fulfilling criteria for major depressive disorder (DSM-IV), one with a clear cause, the other without an identifiable cause. Three hundred and forty-four (344) questionnaires were obtained (95% response rate).

RESULTS

Participants statistically significantly differentiated between the sadness-with-cause vignette, seen more frequently as a normal response, while the one without a cause was seen as pathological. Help-seeking behaviour recommendations followed this distinction: a medical option was statistically significantly more common when there was no cause for sadness. Socio-cultural variation in how people understand and deal with sadness was also found.

CONCLUSIONS

This study emphasizes the importance of taking into account the context in which depressive symptoms occur as it seems that the absence of an appropriate context is what makes people conceptualize them as abnormal. It also raises questions about the lack of face validity of the current diagnostic classification for depressive disorder that exclusively uses descriptive criteria.

Biomedicalización e infancia: trastorno de déficit de atención e hiperactividad

El artículo analiza críticamente el aumento de los niños diagnosticados y tratados por el Trastorno de Déficit de Atención e Hiperactividad (TDAH). Los análisis vinculan este creciente fenómeno con las estrategias de la industria farmacéutica para reposicionarse en el liderazgo de la conceptualización del proceso salud-enfermedad-atención y en el mercado de salud. Utilizamos métodos analítico-interpretativos para estudiar datos primarios y secundarios, y realizar una extensa revisión bibliográfica. A la luz del concepto de biomedicalización analizamos los mecanismos subjetivo-ideológicos que facilitaron que este discurso se instituya como una nueva verdad sobre este trastorno y sea legitimado por los organismos gubernamentales y las organizaciones de la sociedad civil. La biomedicalización del sufrimiento infantil dificulta que se pongan en evidencia los profundos cambios socioeconómicos, políticos e ideológico-culturales que han transformado radicalmente nuestras sociedades en las últimas décadas.