The classification of mental disorders used to be based only on people seen by hospital psychiatrists. In fact, most people with a mental disorder were, and are, not seen by psychiatrists because of decisions made prior to psychiatric consultation. The first description of this ‘pathway’ to care and its levels and filters was published by Goldberg and Huxley in 1980.

To conduct a review of papers relevant to the application of the Goldberg–Huxley model in the 21st century.

Systematic review (PROSPERO registration CRD42021270603) of the pathway to psychiatric care in the 21st century. The review concentrates on community surveys and passage through the first filter (consultation in primary care or its equivalent). Ten databases were searched for papers meeting the defined inclusion criteria published between 2000 and 2019 and completed on 15 February 2020.

In total, 1824 papers were retrieved, 137 screened fully and 31 included in this review. The results are presented in a table comparing them with previous research. Despite major social, economic and health service changes since 1980, community prevalence and consultation rates remain remarkably consistent and in line with World Health Organization findings. Passage through the first filter is largely unchanged and there is evidence that the same factors operate internationally, especially gender and social parameters.

The Goldberg–Huxley model remains applicable internationally, but this may change owing to an increasingly mixed mental health economy and reduced access to primary care services.

Psychotic experiences may emerge in more severe cases of common mental disorders (CMD). Previous work identified that 30% of patients treated by mental health services in primary healthcare, specifically the Improving Access to Psychological Therapies (IAPT) programme in England, reported psychotic experiences, began treatment with more severe CMD and were less likely to reach recovery.

To replicate our previous assessment of psychotic experiences in the IAPT programme using a more sensitive threshold and determine its impact on the prevalence of psychotic experience and likelihood of recovery. Additionally, to compare recovery rates between patients with and without psychotic experiences at the end of therapy.

The Community Assessment of Psychic Experiences (CAPE-P15) with a cut-off of 1.30 was used to determine the prevalence of psychotic experiences. Recovery rates were determined using measures collected in the IAPT programme for depression (PHQ-9) and anxiety (GAD-7). Multi-group growth models estimated improvement trajectories.

In total, 2042 patients with CMD completed the CAPE-P15. The mean age was 39.8. The prevalence of psychotic experiences was 18% higher when using a lower threshold. The recovery rate for patients with psychotic experiences was lower (36%) than for those without (64%). Despite sharing similar improvement trajectories, the higher initial severity of CMD among patients with psychotic experiences impeded likelihood of recovery.

As psychotic experiences may be a marker of severity in CMD, the benefits of identifying these in IAPT populations may also apply to patients with milder experiences. Further investigation of the consequential demands on service provision and how this would affect clinical practice is recommended.

The role of sociodemographic and economic characteristics in mental distress has been rarely investigated in Indonesia.

To investigate the prevalence of common mental disorders (CMD) and identify any associations between mental distress and sociodemographic and economic characteristics among communities living in urban and rural (peri-urban) areas.

A community-based household survey was conducted in the province of Aceh, Indonesia, in 2018. The 20-item Self Reporting Questionnaire (SRQ-20) screening tool was used to measure symptoms of CMD. Information on sociodemographic characteristics, family functioning, labour market outcomes and healthcare costs was collected. Multivariate regressions were conducted to analyse the relationships between the measures of mental distress and sociodemographic and economic characteristics.

We found that 14% of the respondents had CMD symptoms. SRQ-20 scores were higher for female, older and lower-educated individuals. CMD prevalence was higher among non-married participants and clustered within families. Participants with CMD perceive their families as performing significantly better in the dimensions of affective involvement and behaviour control compared with their counterparts. Their work was more often affected by negative feelings; they were also twice as likely to report a recent physical or mental health complaint and faced twice the treatment costs compared with their non-affected counterparts.

The prevalence of mental disorders is especially high in disadvantaged population groups. Moreover, mental distress is associated with a lower perceived productivity and a higher physical health burden.

For a small minority of personnel, military service can have a negative impact on their mental health. Yet no studies have assessed how the mental health of UK veterans (who served during the recent operations in Afghanistan or Iraq) compares to non-veterans, to determine if they are at a disadvantage. We examine the prevalence of mental disorders and alcohol misuse in UK veterans compared to non-veterans.

Veteran data were taken from the third phase of the King's Centre for Military Health Research cohort study (n = 2917). These data were compared with data on non-veterans taken from two large general population surveys: 2014 Adult Psychiatric Morbidity Survey (n = 5871) and wave 6 of the UK Household Longitudinal Study (UKHLS, n = 22 760).

We found that, overall, UK veterans who served at the time of recent military operations were more likely to report a significantly higher prevalence of common mental disorders (CMD) (23% v. 16%), post-traumatic stress disorder (PTSD) (8% v. 5%) and alcohol misuse (11% v. 6%) than non-veterans. Stratifying by gender showed that the negative impact of being a veteran on mental health and alcohol misuse was restricted to male veterans. Being ill or disabled was associated with a higher prevalence of CMD and PTSD for both veterans and non-veterans.

Whilst the same sociodemographic groups within the veteran and non-veteran populations seemed to have an increased risk of mental health problems (e.g. those who were unemployed), male veterans, in particular, appear to be at a distinct disadvantage compared to those who have never served.

Young adults who are not in employment, education, or training (NEET) are at risk of long-term economic disadvantage and social exclusion. Knowledge about risk factors for being NEET largely comes from cross-sectional studies of vulnerable individuals. Using data collected over a 10-year period, we examined adolescent predictors of being NEET in young adulthood.

We used data on 1938 participants from the Victorian Adolescent Health Cohort Study, a community-based longitudinal study of adolescents in Victoria, Australia. Associations between common mental disorders, disruptive behaviour, cannabis use and drinking behaviour in adolescence, and NEET status at two waves of follow-up in young adulthood (mean ages of 20.7 and 24.1 years) were investigated using logistic regression, with generalised estimating equations used to account for the repeated outcome measure.

Overall, 8.5% of the participants were NEET at age 20.7 years and 8.2% at 24.1 years. After adjusting for potential confounders, we found evidence of increased risk of being NEET among frequent adolescent cannabis users [adjusted odds ratio (ORadj) = 1.74; 95% confidence interval (CI) 1.10–2.75] and those who reported repeated disruptive behaviours (ORadj = 1.71; 95% CI 1.15–2.55) or persistent common mental disorders in adolescence (ORadj = 1.60; 95% CI 1.07–2.40). Similar associations were present when participants with children were included in the same category as those in employment, education, or training.

Young people with an early onset of mental health and behavioural problems are at risk of failing to make the transition from school to employment. This finding reinforces the importance of integrated employment and mental health support programmes.

Episodes of depression and anxiety (D&A) during the transition from late adolescence to adulthood, particularly when persistent, are predictive of long-term disorders and associated public health burden. Understanding risk factors at this time is important to guide intervention. The current objective was to investigate the associations between maternal symptoms of D&A with offspring symptoms during their transition to adulthood.

Data from a large population-based birth cohort study, in South Brazil, were used. Prospective associations between maternal D&A and offspring risk of these symptoms during the transition to adulthood (18/19, 24 and 30 years) were estimated.

Maternal D&A in adolescence was associated with offspring symptoms across the transition to adulthood, associations were consistently stronger for females than for males. Daughters whose mothers reported D&A were 4.6 times (95% confidence interval 2.71–7.84) as likely to report D&A at all three time-points, than daughters of symptom-free mothers.

Maternal D&A is associated with persistent D&A during the daughter's transition to adulthood. Intervention strategies should consider the mother's mental health.

Although the military is considered to be a stressful occupation, there are remarkably few studies that compare the prevalence of common mental disorder (CMD) between the military and the general population. This study examined the prevalence of probable CMD in a serving UK military sample compared to a general population sample of employed individuals.

Data for the general population was from the 2003 and 2008 collections for the Health Survey for England (HSE) and for the serving military from phases 1 (2004–2006) and 2 (2007–2009) of the King's Centre for Military Health Research (KCMHR) cohort study. Probable CMD was assessed by the General Health Questionnaire (GHQ-12). The datasets were appended to calculate the odds of CMD in the military compared to the general population.

The odds of probable CMD was approximately double in the military, when comparing phase 1 of the military study to the 2003 HSE [odds ratio (OR) 2.4, 95% confidence interval (CI) 2.1–2.7], and phase 2 to the 2008 HSE (OR 2.3, 95% CI 2.0–2.6) after adjustment for sex, age, social class, education and marital status.

Serving military personnel are more likely to endorse symptoms of CMD compared to those selected from a general population study as employed in other occupations, even after accounting for demographic characteristics. This difference may be partly explained by the context of the military study, with evidence from previous research for higher reports of symptoms from the GHQ in occupational compared to population studies, in addition to the role of predisposing characteristics.

Diagnosis of depressive disorder using interviewer-administered instruments is expensive and frequently impractical in large epidemiological surveys. The aim of this study was to assess the validity of three self-completion measures of depressive disorder and other psychiatric disorders in older people against an interviewer-administered instrument.

A random sample stratified by sex, age and social position was selected from the Whitehall II study participants. This sample was supplemented by inclusion of depressed Whitehall II participants. Depressive disorder and other mental disorders were assessed by the interviewer-administered structured revised Clinical Interview Schedule (CIS-R) in 277 participants aged 58–80 years. Participants also completed a computerized self-completion version of the CIS-R in addition to the General Health Questionnaire (GHQ) and the Center for Epidemiologic Studies Depression Scale (CES-D).

The mean total score was similar for the interviewer-administered (4.43) and self-completion (4.35) versions of the CIS-R [95% confidence interval (CI) for difference −0.31 to 0.16]. Differences were not related to sex, age, social position or presence of chronic physical illness. Sensitivity/specificity of self-completion CIS-R was 74%/98% for any mental disorder and 75%/98% for depressive episode. The corresponding figures were 86%/87% and 78%/83% for GHQ and 77%/89% and 89%/86% for CES-D.

The self-completion computerized version of the CIS-R is feasible and has good validity as a measure of any mental disorder and depression in people aged ⩾ 60 years. GHQ and CES-D also have good criterion validity as measures of any mental disorder and depressive disorder respectively.