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This paper aims to investigate the feasibility of conducting research on a two-pronged vocational intervention for people with first episode psychosis. The paper also aims to empirically examine the impact of a two-pronged vocational intervention for people with first episode psychosis by determining what effect, if any, introducing a two-pronged vocational intervention to an early intervention for psychosis service (EIPS) has on vocational outcomes using a prospective follow-up design. The approach consisted of supported employment (individual placement and support, IPS) for participants without a productive role and a job retention programme for those employed or studying.

Between 2010 and 2013, a supported employment specialist joined an EIPS where occupational therapy was available to all attenders. The appropriate intervention was determined by the occupational therapist on the team. Participants were interviewed at baseline and one follow-up. Ethical approval was attained. The Individual Placement and Support Fidelity Scale was used to ensure the quality of IPS implementation.

In total, 39 (20 men, 19 women) consented; 21 (54 per cent) of these participants were unoccupied; 18 (46 per cent) had a productive role; 87 per cent (n = 34) were followed up. The mean length of follow-up was 18 months. At follow-up, 50 per cent (n = 10) of unoccupied participants had attained a productive role, and 17 of the 18 participants had retained their productive role. Overall, participants were found to have spent an average of 62 per cent of the follow-up period in a productive role.

Rates of vocational recovery among people affected by psychosis may be enhanced by a two-pronged approach that allows for the persons individual work circumstances to be taken into account.

This study highlights the impact of a two-progroned vocational intervention for people with first episode psychosis in Ireland. It is the first study of its kind to be published in the Republic of Ireland and the first world-wide to include a job retention element in its design.

This review aims to identify the commonly used nature-based therapies, the cohorts that benefit from these interventions, and the potential environmental impact of nature-based therapies.

An integrative review methodology was taken. The literature was analysed and synthesised through thematic analysis.

Three themes emerged from the analysis: categories of nature-based therapies; benefits of nature-based therapies; and the gains from nature-based therapies are not universal. Evidence of physiological, psychological, social, vocational and quality of life benefits from participation in nature-based therapies was evident in the literature. However, there was insufficient empirical evidence of the benefits for the environment.

Occupational therapists assist populations across the life course. Consequentially, they can be found working in a diverse range of clinical contexts. This review asserts that nature-based therapies could be a positive addition in many of these contexts. Further, while engagement in activities in natural environments is frequently used by occupational therapists practicing within institution environments, there is evidence to support its use in community service models and potentially in public health strategies.

This integrative review brings together evidence on a diverse range of nature-based therapies, cohorts, associated benefits and factors that influence these. The lack of empirical evidence on the benefits of nature-based therapies for the environment is acknowledged as a gap in the literature

Assistive technology (AT) has been highlighted as a tool that can support self-management for people living with schizophrenia. A gap in the literature exists regarding the views held by the stakeholders involved in the health care of an individual living with schizophrenia regarding the potential use of AT to enable the self-management of this condition. The purpose of this paper is to explore how individuals living with schizophrenia, their relatives and their mental health care professionals view AT as a tool to facilitate self-management.

This mixed methods research paper will discuss the findings of the second stage of a two-stage research study. The paper will discuss the findings of questionnaires that were disseminated to service users living with schizophrenia, their relatives and the health-care professionals of a community mental health service in the Greater Dublin area.

The results indicate that the introduction of AT for the self-management of schizophrenia would be accepted by key stakeholders.

As AT continues to develop, it is clear from the findings presented in this paper that the main stakeholder groups involved in the care of an individual living with schizophrenia are amenable to the use of AT to facilitate the self-management of this condition. Further research is required to explore correct policing and management of its implementation.

This study is the first study of its kind within an Irish context to explore the use of assistive technology as a tool for self-management from the perspective of those experiencing schizophrenia, their relatives and the health-care professionals working alongside them.

The Chinese fund market has witnessed significant developments in recent years. However, although there has been a range of studies assessing fund performance in developed industries, the rapidly developing fund industry in China has received very little attention. This study aims to examine the performance of open-end securities investment funds investing in Chinese domestic equity during the period May 2003 to September 2020. Specifically, applying a non-parametric bootstrap methodology from the literature on fund performance, the authors investigate the role of skill versus luck in this rapidly evolving investment funds industry.

This study evaluates the performance of Chinese equity securities investment funds from 2003–2020 using a bootstrap methodology to distinguish skill from luck in performance. The authors consider unconditional and conditional performance models.

The bootstrap methodology incorporates non-normality in the idiosyncratic risk of fund returns, which is a major drawback in “conventional” performance statistics. The evidence does not support the existence of “genuine” skilled fund managers. In addition, it indicates that poor performance is mainly attributable to bad stock picking skills.

The authors find that the top-ranked funds with positive abnormal performance are attributed to “good luck” not “good skill” while the negative abnormal performance of bottom funds is mainly due to “bad skill.” Therefore, sensible advice for most Chinese equity investors would be against trying to “pick winners funds” among Chinese securities investment funds but it would be recommended to avoid holding “losers.” At the present time, investors should consider other types of funds, such as index/tracker funds with lower transactions. In addition, less risk-averse investors may consider Chinese hedge funds [Zhao (2012)] or exchange-traded fund [Han (2012)].

The paper makes several contributions to the literature. First, the authors examine a wide range (over 50) of risk-adjusted performance models, which account for both unconditional and conditional risk factors. The authors also control for the profitability and investment risks in Fama and French (2015). Second, the authors select the “best-fit” model across all risk-adjusted models examined and a single “best-fit” model from each of the three classes. Therefore, the bootstrap analysis, which is mainly based on the selected best-fit models, is more precise and robust. Third, the authors reduce the possibility that findings may be sample-period specific or may be a survivor (upward) biased. Fourth, the authors consider further analysis based on sub-periods and compare fund performance in different market conditions to provide more implications to investors and practitioners. Fifth, the authors carry out extensive robustness checks and show that the findings are robust in relation to different minimum fund histories and serial correlation and heteroscedasticity adjustments. Sixth, the authors use higher frequency weekly data to improve statistical estimation.