Longitudinal patterns of mental health service utilisation by those with mental-physical comorbidity in the community.

OBJECTIVE: Successful healthcare integration demands an understanding of current service utilisation by people with comorbidity. Physical illness may impact on mental health service use (MHSU), but longitudinal studies of comorbidity and MHSU are rare. This study 1) estimated associations between mental-physical comorbidity and longitudinal MHSU patterns; 2) tested whether associations between comorbidity and continuous MHSU are driven by "need". METHODS: Survey data from a South East London community cohort were used (N = 1052). Common mental disorder symptoms (CMDS) were measured using the Clinical Interview Schedule Revised and self-report of long-standing disorders. A checklist of common conditions measured chronic physical conditions. MHSU captured self-reported use of mental health services in the past year at two time points. "Need" indicators included CMDS at follow-up, suicidal ideation, somatic symptom severity, self-rated health, daily functioning problems and perceived functioning limitations due to emotional health. Analyses used logistic and multinomial regression. RESULTS: Continuous MHSU (at both time-points) was twice as commonly reported by those with comorbidity than those without physical comorbidity (30.9% vs 12.3%). CMDS at follow-up, suicidal ideation, and perceived functioning limitations due to emotional health only partially explained the association between CMDS-physical comorbidity and continuous MHSU. In the adjusted model, comorbidity remained associated with continuous MHSU (RRR = 3.23, 95% CI: 1.39-7.51; p = .002), while the association for non-comorbid CMDS was fully attenuated (RRR = 1.08, 95% CI: 0.40-2.93; p = .85). CONCLUSION: CMDS-physical comorbidity was strongly associated with continuous MHSU, and "need" did not account for this association, suggesting that comorbidity itself represents a "need" indicator.

How do macro-level structural determinants affect inequalities in mental health? - a systematic review of the literature.

BACKGROUND: In Europe and elsewhere there is rising concern about inequality in health and increased prevalence of mental ill-health. Structural determinants such as welfare state arrangements may impact on levels of mental health and social inequalities. This systematic review aims to assess the current evidence on whether structural determinants are associated with inequalities in mental health outcomes. METHODS: We conducted a systematic review of quantitative studies published between 1996 and 2017 based on search results from the following databases Medline, Embase, PsychInfo, Web of Science, Sociological Abstracts and Eric. Studies were included if they focused on inequalities (measured by socio-economic position and gender), structural determinants (i.e. public policies affecting the whole population) and showed a change or comparison in mental health status in one (or more) of the Organisation for Economic Cooperation and Development (OECD) countries. All studies were assessed for inclusion and study quality by two independent reviewers. Data were extracted and synthesised using narrative analysis. RESULTS: Twenty-one articles (17 studies) met the inclusion criteria. Studies were heterogeneous with regards to methodology, mental health outcomes and policy settings. More comprehensive and gender inclusive welfare states (e.g. Nordic welfare states) had better mental health outcomes, especially for women, and less gender-related inequality. Nordic welfare regimes may also decrease inequalities between lone and couple mothers. A strong welfare state does not buffer against socio-economic inequalities in mental health outcomes. Austerity measures tended to worsen mental health and increase inequalities. Area-based initiatives and educational policy are understudied. CONCLUSION: Although the literature on structural determinants and inequalities in mental health is limited, our review shows some evidence supporting the causal effects of structural determinants on mental health inequalities. The lack of evidence should not be interpreted as lack of effect. Future studies should apply innovative methods to overcome the inherent methodological challenges in this area, as structural determinants potentially affect both levels of mental health and social inequalities.