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The purpose of this paper is to investigate psychometric properties of the Self-Efficacy for Therapeutic Use of Self (SETUS) scales, a questionnaire based on the Intentional Relationship model, and to investigate the factor structure and internal consistency of the English version of three-part SETUS questionnaire in occupational therapy students.

The sample of this cross-sectional study included 155 students with age range 18–30 years, of which 95% were women. Principal Components Analysis (PCA) was performed on the questionnaire scales, including the Self-Efficacy for Therapeutic Mode Use (SETMU), Self-Efficacy for Recognizing Interpersonal Characteristics (SERIC) and Self-Efficacy for Managing Interpersonal Events (SEMIE). The internal consistencies were calculated. Pearson correlation analysis was used to evaluate the strength of correlation among the scales.

The PCA confirmed that the items of each of the three proposed scales loaded strongly on one factor (self-efficacy for three factors of therapeutic mode use, recognizing interpersonal characteristics and managing interpersonal events). The Cronbach’s alpha for the SETMU, SERIC and SEMIE was 0.85, 0.95 and 0.96, respectively. The three scales significantly inter-correlated strongly (r ranging 0.74–0.83, all p < 0.001).

The SETUS questionnaire comprises three valid and reliable scales. It can be used by occupational therapy supervisors as a means to reflect on students’ self-efficacy in components of therapeutic use of self.

In the early to mid-twentieth century, psychiatrist-led occupational therapy departments emerged in Irish psychiatric hospitals. This marked a transition towards establishing rehabilitative services in institutional settings. This paper aims to examine the development of occupational therapy in Grangegorman Mental Hospital and its auxiliary hospital, Portrane Mental Hospital from 1934-1954.

Historical documentary research methods were used to analyse primary source data from Grangegorman Committee Minutes, Inspector of Mental Hospital Reports, Boroughs of Mental Hospitals, Department of Foreign Affairs documents and newspaper archives. The archival data was analysed using both a chronological and thematic approach.

The main key event emerged in 1935 when four Grangegorman nursing staff were sent to Cardiff Mental Hospital to undergo a six month training course in occupational therapy. The following themes emerged – “establishing occupational therapy in Grangegorman and Portrane”; “the role of short-course trained nursing staff in providing occupational therapy services” and “therapeutic rationales vs hospital management rationales”.

This study throws light on the early practitioners of occupational therapy in Grangegorman and highlights the complexities of occupational therapy’s role origins in mid-twentieth century Ireland. In line with contemporaneous psychiatric hospitals, the occupational therapy activities promoted in Grangegorman were mainly handicraft or productivity based. The absence of patients’ voices means there are limitations to determining the therapeutic nature of this early occupational therapy service.

Major gaps exist in the documented history of occupational therapy in Ireland. The purpose of this paper is to contribute to filling these gaps by providing an overview of three major transitions in Irish occupational therapy in the century preceding the opening of St. Joseph?s College of Occupational Therapy in 1963. Research on occupational therapy’s past is valuable not only for recording and commemorating key events and individuals but also for allowing reflection on and questioning of contemporary practice and assumptions.

This descriptive paper draws on multiple documentary sources to present an overview of the first 100 years of the use of occupation as therapy/occupational therapy in Ireland from 1863 to 1963.

Three major transitions in occupational therapy in Ireland are presented: from moral treatment and the use of occupation as therapy to medical patronage of occupational therapy, from medical patronage to the early/pre-professional era and finally from the pre-professional era to the era of professionally qualified occupational therapists. To illustrate these transitions, a small number of individuals and their contributions are discussed including Dr Eamon O’Sullivan, Dr Ada English, Donal Kelly, Olga Gale and Ann Beckett.

This paper charts the foundations upon which the currently thriving profession of occupational therapy are built. The Association of Occupational Therapists of Ireland recently celebrated their 50th anniversary (AOTI, 2015a), and in 2017, it is 100 years since occupational therapy was formalised in Clifton Springs, New York, USA. Occupational therapy is a relatively young profession, and great opportunities exist to research its history in Ireland to capture the memories and experiences of the pioneers who laid the foundation of the profession as well as to situate the development of the profession in the broader social, cultural and scientific contexts within which it developed.

In this work, a user-friendly Java-based open-source software has been developed for internal radiation dosimetry. Based on values published by the International Commission on Radiological Protection (ICRP), the software calculates the estimated absorbed dose for each organ and also the estimated effective dose, this for about forty of the most known radioactive drugs. In addition, the present software offers many features which include: 1) a very friendly graphical user-interface (GUI) designed to facilitate the process of selecting mandatory input data such as radiopharmaceutical product, administered activity and patient's data, 2) a tool for generating a medical report, which can be exported as PDF file or printed directly and then incorporated into the patient's record, 3) a SQLite database for storing patient's specific and dosimetric data. We believe that the present software can be a useful tool for nuclear medicine workers. It is freely available for download on GitHub (https://github.com/EL-Bakkali-Jaafar/RadioPharmaDose).

Democratic therapeutic communities (TCs), use a “flattened hierarchy” model whereby staff and clients are considered to have an equal voice, sharing administrative and some therapeutic responsibility. Using the sociological framework of interaction ritual chain theory, the purpose of this paper is to explain how TC client members negotiated and enforced community expectations through an analysis of power within everyday interactions outside of structured therapy.

The study used narrative ethnography, consisting of participant observation with two democratic communities, narrative interviews with 21 client members, and semi-structured interviews with seven staff members.

The findings indicate social interactions could empower clients to recognise their personal agency and to support one another. However, these dynamics could be destructive when members were excluded or marginalised. Some clients used their interactions at times to consolidate power amongst dominant members.

It is argued that the flattened hierarchy approach theoretically guiding TC principles does not operate as a flattened model in practice. Rather, a fluid hierarchy, whereby clients shift and change social positions, seems more suited to explaining how the power structure worked within the communities, including amongst the client group. Recognising the hierarchy as “fluid” may open dialogues within TCs as to whether, and how, members experience exclusion.

Explorations of power have not specifically focused on power dynamics between clients. Moreover, this is one of the first papers to look at power dynamics outside of structured therapy.

There is a high prevalence of trauma among mental health clients, with risk of re-traumatisation when admitted to a Department of Psychiatry (DoP) (Kimberg and Wheeler, 2019). The COVID-19 pandemic poses challenges to therapy service operations in DoPs, with infection control measures impacting opportunities for therapeutic and social engagement. A trauma-informed care (TIC) lens was used when adapting services in Tallaght University Hospital DoP in response to COVID-19.

An interdisciplinary approach was taken to adapt therapy services during early stages of the pandemic. Changes were informed by TIC principles to minimise re-traumatisation while maintaining high-quality services. Changes included expansion of the therapeutic activity programme, changes to groups, addition of COVID-19-specific groups and increased awareness of communication support needs.

The early response to the pandemic, combined with the focus on TIC, resulted in continued, effective therapy services and positive client feedback. With clients’ involvement in their care enhanced, Individual Care Planning goals were achieved through group interventions.

The COVID-19 pandemic brought unprecedented changes to mental health services. This paper highlights a response to unique challenges brought by COVID-19 on a DoP.

Automatic anatomical therapeutic chemical (ATC) classification is progressing at a rapid pace because of its potential in drug development. Predicting an unknown compound's therapeutic and chemical characteristics in terms of how it affects multiple organs and physiological systems makes automatic ATC classification a vital yet challenging multilabel problem. The aim of this paper is to experimentally derive an ensemble of different feature descriptors and classifiers for ATC classification that outperforms the state-of-the-art.

The proposed method is an ensemble generated by the fusion of neural networks (i.e. a tabular model and long short-term memory networks (LSTM)) and multilabel classifiers based on multiple linear regression (hMuLab). All classifiers are trained on three sets of descriptors. Features extracted from the trained LSTMs are also fed into hMuLab. Evaluations of ensembles are compared on a benchmark data set of 3883 ATC-coded pharmaceuticals taken from KEGG, a publicly available drug databank.

Experiments demonstrate the power of the authors’ best ensemble, EnsATC, which is shown to outperform the best methods reported in the literature, including the state-of-the-art developed by the fast.ai research group. The MATLAB source code of the authors’ system is freely available to the public at https://github.com/LorisNanni/Neural-networks-for-anatomical-therapeutic-chemical-ATC-classification.

This study demonstrates the power of extracting LSTM features and combining them with ATC descriptors in ensembles for ATC classification.