Screening Older Adults for Mental Disorders

'Are we opening a can of worms?': Community-based occupational therapists' experiences working with clients with unexpected mental health issues

General community occupational therapists (OTs) work with clients experiencing chronic and complex conditions, some living with one or more comorbid common mental health issues (such as anxiety, depression or distress). This study aimed to describe the perspectives of general community OTs of their engagement with clients experiencing mental health issues; their perceptions of the implementation of routine screening in their practice, and the knowledge, skills and support they need to identify and support their clients' mental health needs. Six focus groups were undertaken with general community OTs (n = 21) from three Australian health services in rural, regional and metropolitan settings, between December 2020 and January 2021. Data were analysed using a team-based framework approach. Three key themes were identified: (1) OTs' experiences working with people with mental health issues; (2) impacts of engaging with clients experiencing mental health issues on OTs; and (3) implementing routine mental health screening in general community OT practice. The latter had two sub-themes: (i) identified considerations and (ii) education and system-level support needs. General community OTs frequently work with clients with mental health issues. These experiences impact their practice in multiple ways. This study highlights opportunities for integrating routine mental health screening into general community OT practice and identifies the system and educational development required to support this enhancement to practice. Supporting general community OTs to routinely screen for mental health issues will enhance collaborative client-centred care. Our findings may also have implications for other community-based health professionals and services, particularly those delivered in clients' homes.

Depressive symptom complexes of community-dwelling older adults: a latent network model

Late-life depression has multiple, heterogeneous clinical presentations. The aim of the study was to identify higher-order homogeneous clinical features (symptom complexes), while accounting for their potential causal interactions within the network approach to psychopathology. We analyzed cross-sectional data from community-dwelling adults aged 65-85 years recruited by the European MentDis_ICF65+ study (n = 2623, mean age 74, 49% females). The severity of 33 depressive symptoms was derived from the age-adapted Composite International Diagnostic Interview. Symptom complexes were identified using multiple detection algorithms for symptom networks, and their fit to data was assessed with latent network models (LNMs) in exploratory and confirmatory analyses. Sensitivity analyses included the Partial Correlation Likelihood Test (PCLT) to investigate the data-generating structure. Depressive symptoms were organized by the Walktrap algorithm into eight symptom complexes, namely sadness/hopelessness, anhedonia/lack of energy, anxiety/irritability, self-reproach, disturbed sleep, agitation/increased appetite, concentration/decision making, and thoughts of death. An LNM adequately fit the distribution of individual symptoms' data in the population. The model suggested the presence of reciprocal interactions between the symptom complexes of sadness and anxiety, concentration and self-reproach and between self-reproach and thoughts of death. Results of the PCLT confirmed that symptom complex data were more likely generated by a network, rather than a latent-variable structure. In conclusion, late-life depressive symptoms are organized into eight interacting symptom complexes. Identification of the symptom complexes of late-life depression may streamline clinical assessment, provide targets for personalization of treatment, and aid the search for biomarkers and for predictors of outcomes of late-life depression.

The symptom network structure of depressive symptoms in late-life: Results from a European population study

The network theory conceptualizes mental disorders as complex networks of symptoms influencing each other by creating feedback loops, leading to a self-sustained syndromic constellation. Symptoms central to the network have the greatest impact in sustaining the rest of symptoms. This analysis focused on the network structure of depressive symptoms in late-life because of their distinct etiologic factors, clinical presentation, and outcomes. We analyzed cross-sectional data from wave 2 of the 19 country Survey of Health, Ageing, and Retirement in Europe (SHARE) and included non-institutionalized adults aged 65 years or older (mean age 74 years, 59% females) endorsing at least one depressive symptom on the EURO-D scale for depression (N =8,557). We characterized the network structure of depressive symptoms in late-life and used indices of "strength", "betweenness", and "closeness" to identify symptoms central to the network. We used a case-dropping bootstrap procedure to assess network stability. Death wishes, depressed mood, loss of interest, and pessimism had the highest values of centrality. Insomnia, fatigue and appetite changes had lower centrality values. The identified network remained stable after dropping 74.5% of the sample. Sex or age did not significantly influence the network structure. In conclusion, death wishes, depressed mood, loss of interest, and pessimism constitute the "backbone" that sustains depressive symptoms in late-life. Symptoms central to the network of depressive symptoms may be used as targets for novel, focused interventions and in studies investigating neurobiological processes central to late-life depression.