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A quantitative observational study was conducted. The purpose of this study is to examine the continuing adherence to the stopping over-medication of people with intellectual disability and/or autism guidelines for a cohort of outpatients seen in the outpatients’ clinics in the two teams who participated in this study to review the trend of psychotropic prescribing with a prescription indication along with the utilisation of non-pharmacological interventions.

Data was retrospectively collected over a period of one year for patients sampled conveniently in the outpatient’s clinic. The data was collected from two sites from psychiatric letters to the general practitioners (GPs), with the focus being psychotropic prescription indication and their adherence to British National Formulary limits, inclusion of a wider multi-disciplinary team or MDT (including nurses, psychologists and health support workers), use of Clinical Global Impression (CGI) scale for assessing medication side effects and response to treatment.

Most of the patients had at least one review in the previous six months. Antipsychotics were the highest prescribed medications without an indication for their use (13.3%) followed by anxiolytics and other medications. CGI recording was suboptimal, with 26% of the patient population did not have medication side effects and effectiveness monitored through this method. In total, 41% of patients were open to community nurses followed by other disciplines.

To the best of the authors’ knowledge, this is an original article following the pilot study completed by the authors.

The purpose of this study is to evaluate the effectiveness of a self-stigma reduction programme on self-stigma.

A randomized controlled trial was conducted from November 2017 to December 2018 with 278 people diagnosed with schizophrenia (PDwS). Participants were randomly assigned to receive a self-stigma reduction programme (psychoeducation, cognitive behavioural therapy and social skills training) or treatment as usual.

PDwS in the intervention group experienced a greater reduction in the level of self-stigma (20.19 vs −0.62; p < 0.001) at post-intervention and (37.35 vs −0.66; p < 0.001) at six-month follow-up.

The first RCT examines the problem and implements intervention in middle east country. Also, the authors have conducted high-quality RCT.

Evidence of overprescribing of psychotropic medicines to manage challenging behaviour in people with intellectual disabilities has led to national programmes within the UK to promote deprescribing, such as stopping the overprescribing of medication in people (with learning disabilities, autism or both). To successfully implement deprescribing initiatives, we need to understand how to engage stakeholders in the process.

In a published systematic review, we reported evidence about the process of deprescribing psychotropic medicines for people of all ages with intellectual disabilities and challenging behaviour. As a part of the original review, we searched for evidence about stakeholders’ experiences of the psychotropic deprescribing process, which was synthesised and reported within the current study.

Six studies were identified. Involving carers and people with intellectual disabilities, providing ongoing support and improving access to non-pharmacological interventions, including positive behaviour support, may contribute to successful outcomes, including reducing or stopping psychotropic medicines and improving quality of life. Implementing psychotropic deprescribing requires a multidisciplinary collaborative care approach and education for stakeholders.

There have been no previous reviews of stakeholder experiences of deprescribing psychotropic medications for people with intellectual disabilities and challenging behaviour. The existing literature is scant, and further research is needed.

Despite the substantial body of international research exploring the effects of forced migration on mental health and the obstacles faced by refugee cohorts in accessing mental health services, there is a lack of in-depth studies specifically focusing on Bosnian refugees in Australia – one of the largest ethnic groups of displaced peoples. This qualitative investigation seeks to convey the experiences of mental health services by five Bosnian refugees in Melbourne, highlighting perceived pathways and barriers to service utilisation. This study aims to address two primary research questions: firstly, what characterises the experiences of Bosnian refugees in Australia when accessing mental health services? Secondly, what are the main barriers encountered by this population when seeking mental health services?

This study used qualitative inquiry and in-depth interviews to investigate the experiences of Bosnian refugees with mental health services in Australia. Data was collected through face-to-face interviews with five Melbourne-based Bosnian refugees who had previously accessed mental health services. Participants were recruited from community groups or associations using purposive sampling. Thematic analysis was used.

Key themes were revealed, such as the crucial role of social and community services, preferences for individual vs group therapy, potential re-traumatisation from therapeutic engagement, distrust of government-run mental health services and concerns regarding psychopharmaceutical prescription practices. Addressing barriers to mental health service access necessitates a multifaceted approach, including flexible social and community service support, an increased number of co-ethnic professionals and a recognition of cultural variations for effective service provision. Implementing these strategies can enhance help-seeking behaviours, provide culturally appropriate mental health services and improve the experiences of Bosnian refugees in Australia.

To the best of the authors’ knowledge, this study is the first to qualitatively explore how Bosnian refugees in Melbourne perceived the adequacy and availability of mental health services upon arrival to Australia. They are a large and potentially vulnerable community, due to experiences of war trauma and dislocation from country of origin. A lack of understanding regarding how this cohort engage with mental health services can lead to persistent inequities and ineffective service provision. This study identifies unique experiences and perspectives of Bosnian refugee participants, including distrust of government-run mental health services, and concerns regarding psychopharmaceutical prescription practices. This research is expected to contribute positively to the discourse on mental health service provision for Bosnian refugees and wider refugee communities in Australia.

Menstruation is a part of the female reproductive cycle that begins with adolescence. Menstruation is a natural change; it relates to several malpractices and misconceptions that may contribute to adverse health outcomes.

The authors have searched relevant papers using Google Scholar and PubMed to write this mini review.

During menstruation, poor hygiene maintenance can cause serious illness, which includes the urinary tract and reproductive tract infection. Menstruation management is a hygienic system, and it is essential for females because poor hygiene maintenance during menstruation can cause some infections and numerous sexually transmitted diseases. There are a few nanotechnology-based products that have come into the market to offer some relief to females during their periods.

This mini review will help researchers to design innovative female hygiene products that can relieve the discomfort caused to women during their reproductive age.

Deficiencies or imbalances in dietary fat intake may influence on mental and neurological functions of children with autism spectrum disorders (ASD). This study aims to compare body mass index (BMI) and the amount of fatty acids intake in the autistic patients with the comparison group.

This case-control was carried out on 200 randomly selected children from 5 to 15 years old (100 autistic patients as the case group and 100 healthy children as the comparison group) in Tehran, Iran. The food frequency questionnaire (FFQ) was used to assess the intake of calorie, macronutrients and different types of dietary fatty acids including saturated fatty acids (SFA), monounsaturated fatty acids (MUFAs), poly unsaturated fatty acids (PUFAs), linoleic acid (LA), α-Linolenic acid (ALA), eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA) and trans fatty acids.

The autistic patients had higher BMI, birth weight and mother’s BMI compared to the comparison group (All p < 0.01). No significant difference was found in the amount of dietary calorie, protein, carbohydrate and total fat intake between two groups. The risk of ASD was associated with higher intake of MUFAs (OR: 3.18, CI%:1.13–4.56, p = 0.04), PUFAs (OR: 4.12, CI95%: 2.01–6.25, p < 0.01) and LA (OR: 4.76, CI95%: 1.34–14.32, p < 0.01).

The autistic children had higher BMI and higher intake of unsaturated fatty acids except for omega-3 fatty acids. Further longitudinal studies are warranted.

This study aims to evaluate the quality of information recorded in Behaviour Monitoring Charts (BMC) for Behaviours that Challenge (BtC) in dementia in an older adult inpatient dementia service in the North of England (Aim I) and to understand staff perceptions and experiences of completing BMC for BtC in dementia (Aim II).

Descriptive statistics and graphs were used to analyse and interpret quantitative data gathered from BMC (Aim I) and Likert-scale survey responses (Aim II). Thematic analysis (Braun and Clarke, 2006) was used to analyse and interpret qualitative data collected from responses to open-ended survey questions and, separately, focus group discussions (Aim II).

Analysis of the BMCs revealed that some of the data recorded relating to antecedents, behaviours and consequences lacked richness and used vague language (i.e. gave reassurance), which limited its clinical utility. Overall, participants and respondents found BMC to be problematic. For them, completing BMCs were not viewed as worthwhile, the processes that followed their completion were unclear, and they left staff feeling disempowered in the systemic hierarchy of an inpatient setting.

Functional analysis of BMC helps identify and inform appropriately tailored interventions for BtC in dementia. Understanding how BMCs are used and how staff perceive BMC provides a unique opportunity to improve them. Improving BMC will support better functional analysis of BtC, thus allowing for more tailored interventions to meet the needs of people with dementia.

Machine Learning is an intelligent methodology used for prediction and has shown promising results in predictive classifications. One of the critical areas in which machine learning can save lives is diabetes prediction. Diabetes is a chronic disease and one of the 10 causes of death worldwide. It is expected that the total number of diabetes will be 700 million in 2045; a 51.18% increase compared to 2019. These are alarming figures, and therefore, it becomes an emergency to provide an accurate diabetes prediction.

Health professionals and stakeholders are striving for classification models to support prognosis of diabetes and formulate strategies for prevention. The authors conduct literature review of machine models and propose an intelligent framework for diabetes prediction.

The authors provide critical analysis of machine learning models, propose and evaluate an intelligent machine learning-based architecture for diabetes prediction. The authors implement and evaluate the decision tree (DT)-based random forest (RF) and support vector machine (SVM) learning models for diabetes prediction as the mostly used approaches in the literature using our framework.

This paper provides novel intelligent diabetes mellitus prediction framework (IDMPF) using machine learning. The framework is the result of a critical examination of prediction models in the literature and their application to diabetes. The authors identify the training methodologies, models evaluation strategies, the challenges in diabetes prediction and propose solutions within the framework. The research results can be used by health professionals, stakeholders, students and researchers working in the diabetes prediction area.

Goal setting is a crucial aspect of client-centered practice in occupational therapy (OT) for mental health conditions. However, it remains to be seen how goal-setting has been delivered in mental health, particularly the OT process. The purpose of this scoping review was to explore the nature and extent of goal setting delivered in mental health and informed OT practice.

The authors followed the guidelines of Arksey and O’Malley (2005) and searched three databases using key search terms: “mental disorder,” “goal setting,” and “occupational therapy” and their synonyms.

After excluding duplicate records, the authors initially screened 883 records and resulted in 20 records in total after the screening process. Most of the identified articles used goal-setting delivered by both a health professional and a client (n = 14), and focused on people with schizophrenia or schizoaffective disorder (n = 13), but three interventions were delivered by occupational therapists. Further research needs on goal-setting in mental health OT, exploring the reliability and validity of different goal-setting strategies and investigating the effectiveness of goal-setting for promoting behavior change and client engagement across various mental health conditions and settings.

The scoping review has some limitations, such as not investigating the validity and reliability of goal-setting strategies identified, and excluding conference papers and non-English articles.

This scoping review presents a mapping of how goal-setting has been delivered in mental health and informed OT practice. The findings suggest limited research in OT and highlight the need for more studies to address the evidence gap in individualized client-centered OT.

The purpose of this study is to investigate the usage of digital technologies (DTs) in improving the mental health of workers on construction sites.

A mixed research approach was used in the study, which comprised a questionnaire survey and two phases of semi-structured interviews. Purposive sampling was used to determine the interviewees and respondents of the questionnaire survey. Weighted mean rating (WMR) and manual content analysis were used to rank and evaluate the collected data.

The findings of this study revealed bipolar disorder, anxiety disorders, attention-deficit/hyperactivity disorder, obsessive-compulsive disorder, work-related stress and depression as the six most significant mental disorders (MDs) among the construction workforce and 30 causes for them. Moreover, 27 symptoms were related to the six most significant MDs, and sweating was the most significant symptom among them. Despite that, 16 DTs were found to be suitable in mitigating the causes for the most significant MDs.

There are numerous studies conducted on the application of DTs to construction operations. However, insufficient studies have been conducted focusing on the application of DTs in improving the mental health of workers at construction sites. This study can thus influence the use of DTs for tackling the common causes for MDs by bringing a new paradigm to the construction industry.