Medication is an important component of the treatment of many mental illnesses. Very little information is available about the particular medications that are being prescribed by community mental health services and how this has changed over time. We set out to obtain details of psychiatric medications being prescribed by one Irish community mental health service.

All prescribing by the Cluain Mhuire Community Mental Health Service became electronic during 2004. Using Business Intelligence software, we obtained details of all psychiatric medications prescribed from 2005 to 2016. We compared numbers of prescriptions written in the first 6 years (2005–2010) with the following 6 (2011–2016).

Olanzapine was the most commonly prescribed medication throughout but its use declined by one-quarter over the study period. Clozapine, quetiapine, aripiprazole and haloperidol prescribing increased. Prescriptions for mood stabilisers and antidepressants fell by 25%. Sedative prescriptions declined by almost 50%. Absolute numbers of prescriptions written for methylphenidate and pregabalin were small but increased dramatically over the time period.

This community mental health service prescribed less of most psychiatric medications in 2016, than had been the case in 2005. This is despite an increase in the numbers of patients seen over the same period. It is not clear if this pattern is echoed in other services.

The rate of antidepressant use in the United Kingdom has outpaced diagnostic increases in the prevalence of depression. Research has suggested that personal and socioeconomic risk factors may be contributing to antidepressant use. To date, few studies have addressed these possible contributions. Thus, this study aimed to assess the relative strength of personal, socioeconomic and trauma-related risk factors in predicting antidepressant use.

Data were derived from the Adult Psychiatric Morbidity Survey (n=7403), a nationally representative household sample of adults residing in England in 2007. A multivariate binary logistic regression model was developed to assess the associations between personal, socioeconomic and trauma-related risk factors and current antidepressant use.

The strongest predictor of current antidepressant use was meeting the criteria for an ICD-10 depressive episode [odds ratio (OR)=9.04]. Other significant predictors of antidepressant use in this analysis included English as first language (OR=3.45), female gender (OR=1.98), unemployment (OR=1.82) and childhood sexual abuse (OR=1.53).

Several personal, socioeconomic and trauma-related factors significantly contributed to antidepressant use in the multivariate model specified. These findings aid our understanding of the broader context of antidepressant use in the United Kingdom.

As prevalence of mental health disorders increases worldwide, recognition and treatment of these disorders falls increasingly into the remit of primary care. This study investigated the prevalence and management of adults presenting to their general practitioner (GP) in Ireland with a psychological condition.

A random number function was used to select 100 patients with a consultation in the previous 2 years from 40 general practices around Ireland. The clinical records of these patients were examined using a standardised reporting tool to extract information on demographics, eligibility for free care, prevalence and treatment of psychological conditions.

From a sample of 3845 ‘active’ patients, 620 (16%, 95% confidence interval 15–17%) had a documented psychological condition in the previous 2 years. The most common diagnoses were depression (54%) followed by stress and anxiety (47%). The following patient characteristics were associated with having a documented mental health condition: female gender; higher GP consultation rate; a referral or attendance at secondary care and eligibility for free GP care. Of those with a psychological condition, 34% received a psychological intervention and 81% received a pharmacological intervention.

The overall prevalence estimate of mental health disorders for this sample was lower than previously documented in primary care. Patients diagnosed with mental health disorders had higher utilisation of health services and pharmacological treatment was common.

Research indicates that anti-depressant prescribing is higher in Northern Ireland (NI) than in the rest of the UK, and that socio-economic and area-level factors may contribute to this. The current study provides comprehensive population-based estimates of the prevalence of anti-depressant prescription prescribing in NI from 2011 to 2015, and examined the associations between socio-demographic, socio-economic, self-reported health and area-level factors and anti-depressant prescription.

Data were derived from the 2011 NI Census (N = 1 588 355) and the Enhanced Prescribing Database. Data linkage techniques were utilised through the Administrative Data Research Centre in NI. Prevalence rates were calculated and binary logistic analysis assessed the associations between contextual factors and anti-depressant prescription.

From 2011 to 2015, the percentages of the population in NI aged 16 or more receiving anti-depressant prescriptions were 12.3%, 12.9%, 13.4%, 13.9% and 14.3%, respectively, and over the 5-year period was 24.3%. The strongest predictors of anti-depressant prescription in the multivariate model specified were ‘very bad’ (OR = 4.02) or ‘Bad’ general health (OR = 3.98), and self-reported mental health problems (OR = 3.57). Other significant predictors included social renting (OR = 1.67) and unemployment (OR = 1.25). Protective factors included Catholic religious beliefs, other faith/philosophic beliefs and no faith/philosophic beliefs in comparison to reporting Protestant/other Christian religious beliefs (ORs = 0.78–0.91).

The prevalence of anti-depressant prescription in NI appears to be higher than the prevalence of depressive disorders, although this may not necessarily be attributable to over-prescribing as anti-depressants are also prescribed for conditions other than depression. Anti-depressant prescription was linked to several factors that represent socio-economic disadvantage.

The objective of the paper was to survey patients’ preference in relation to a continuity, or split, model of inpatient consultant care in the Louth Mental Health Service.

A written survey was administered to all patients attending the Louth Mental Health Service over a 2-week period. Participants were asked for their preferred model of care and clinical information was obtained from their clinical notes.

In total, 149 patients completed the survey questionnaire and 103 respondents (69%) indicated a preference for a continuity model of inpatient consultant psychiatric care. There was a trend for those who reported a past experience of inpatient hospitalisation to indicate a preference for the continuity model (76% v. 61%, respectively, χ2 3.67, p=0.056).

Patients indicate a preference for a continuity model of inpatient psychiatric care and this is important to consider in service planning. More research is needed to evaluate if any model of consultant care is associated with better patient outcomes.

Restricting access to lethal means is an effective suicide prevention strategy. However, there is little discussion in the literature about the potential contribution of prescribing practices on discharge from inpatient psychiatric care (which has been established as a high-risk period for suicide) to suicide deaths by overdose of prescribed medication. This study aimed to assess the quantity, toxicity and potential lethality of psychotropic medication being prescribed on discharge from psychiatric care to those with and without indices of suicidality.

Patient demographic, clinical and prescription data were collected from 50 randomly selected charts following discharge from inpatient psychiatric care. Psychotropic medications (dose × duration) on discharge were converted to their equivalent doses of neuroleptics, antidepressants and anxiolytics to rate toxicity and potential lethality, using the Maudsley Prescribing Guidelines. Mood stabilizing medications were also documented.

39% of prescriptions analysed contained toxic and potentially fatal doses of either neuroleptic or antidepressant equivalent medication.

Patient discharge from inpatient psychiatric care presents a golden opportunity to moderate access to potentially fatal psychotropic medication. Iatrogenic provision of lethal means for suicide during a period of increased risk and in a group at increased suicide risk may impact suicide prevention efforts and requires further in-depth research. Current prescribing practices may be a missed opportunity to intervene in this regard.

Sectorised catchment areas have characterised Irish mental health service delivery since the devolution of institutional care. Unlike other catchment areas, the Cluain Mhuire Community Mental Health Service (CMCMHS) never sectorised. With the development of Community Health Networks (CHNs) and Primary Care Centres, the CMCMHS has come under renewed pressure for structural change. We aimed to consider the implications of these proposed changes on staff and service users.

We obtained demographic information comparing the CHNs with respect to attendee numbers, new referrals and admissions over a 1- year period. Secondly, we conducted an anonymous survey seeking opinions on the proposals to switch to a sector-based model and/or specialist inpatient care.

Referral and admission rates differed across CHNs, broadly consistent with populations. About 36% of staff and 33% of service users supported changing to a sector-based system. In the event of a sector-based system of care being implemented, 66% of service users felt that existing service users should remain under the care of their current team. There was little support among any group for the development of specialist inpatient teams.

We discuss the benefits and drawbacks of sectorisation of mental health service provision. Most patients did not want to change teams either as current service users or as re-referrals (indicating it will take a significant time to transition to a sector-based system). Without clear pathways towards integration with primary care teams, the advantages of sectorisation may not outweigh the challenges associated with its implementation.

Sexual side effects have rarely been reported secondary to treatment with Pregabalin, a structural analogue of the inhibitory neurotransmitter gamma amino butyric acid (GABA).

We present the case of AB, a 27-year-old single man with a diagnosis of recurrent depressive disorder who was prescribed pregabalin to alleviate the significant anxiety symptoms he was experiencing.

A significant amelioration in anxiety symptoms was attained; however, he developed the adverse effects of acute sexual disinhibition and increased libido. These adverse effects were temporally related to treatment with pregabalin and reduced with dose reduction of this agent.

To date, limited published data are available relating such a reaction to pregabalin. A greater clinical recognition of this association between pregabalin and sexual disinhibition, would allow clinicians to intervene at an earlier stage of this adverse effect and potentially as in this case, management may only require dose reduction rather than treatment discontinuation.

Mental illness poses a large and growing disease burden worldwide. Its management is increasingly provided by primary care. The prescribing of psychotropic drugs in general practice has risen in recent decades, and variation in prescribing rates has been identified by a number of studies. It is unclear which factors lead to this variation.

To describe the variables that cause variation in prescribing rates for psychotropic drugs between general practices.

A narrative review was conducted in January 2018 by searching electronic databases using the PRISMA statement. Studies investigating causal factors for variation in psychotropic prescribing between at least two general practice sites were eligible for inclusion.

Ten studies met the inclusion criteria. Prescribing rates varied considerably between practices. Positive associations were found for many variables, including social deprivation, ethnicity, patient age and gender, urban location, co-morbidities, chronic diseases and GP demographics. However studies show conflicting findings, and no single regression model explained more than 57% of the variation in prescribing rates.

There is no consensus on the factors that most predict prescribing rates. Most research was conducted in countries with central electronic databases, such as the United Kingdom; it is unclear whether these findings apply in other healthcare systems. More research is needed to determine the variables that explain prescribing rates for psychotropic medications.