Enhancing primary care psychology services with assistant psychologists in Ireland: An evaluation of output, throughput and stakeholder satisfaction.

Primary care mental health services need to expand to assist the increased number of people reporting mild to moderate mental health difficulties. In Ireland, the primary care mental health service has been recently enhanced through the employment of Assistant Psychologists (AP) in primary care psychology. This paper provides an early and brief evaluation of the impact of the AP-enhanced model through a tripartite approach to evaluation which utilises measures of throughput, output and stakeholder satisfaction. We use data from two sources; Health service key performance indicators, and a routinely gathered minimal dataset of client measures. Results indicate that the numbers of clients seen in the period rose by 16%, that AP-delivered treatments are beneficial for clients with mild to moderate mental health difficulties, and more than 80% of clients reported being 'totally satisfied' with the care received. The data provide early evidence that the AP model is beneficial in meeting clients' needs across a range of presentations within the service admission criteria, and that the AP-enhanced model may offer a satisfactory solution to primary care needs. However, further data collection is required, and additional stakeholder input is necessary for a complete evaluation of the assistant psychologist model in primary care.

The antecedents of loneliness in older people with an intellectual disability.

INTRODUCTION: The cognitive discrepancy approach to loneliness is often used to describe loneliness in ageing populations, but to date, it has never been used to explore loneliness in older people with an intellectual disability. An analysis is needed utilising a refined list of causes of loneliness in this population. METHOD: Using data from a nationally representative dataset of people aged over 40 with an intellectual disability (N = 708), this analysis runs repeated regressions of variables grouped into conceptual blocks, organised from sociodemographic to network quality. RESULTS: Variables selected predicted 23% of the loneliness variance. Functional limitations, education, working in the community, transport difficulties, pain, stress caused by service change, emotional health problems and confiding were all significant predictors of loneliness. CONCLUSION: That for those with fewer functional limitations only transport difficulties precipitated loneliness, suggests living a more independent life protects from loneliness, in this group. Those with functional limitations and who lead a more service dependent life appear more exposed to loneliness precipitating variables.