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This study aimed to explore culturally and linguistically diverse (CALD) fathers' early parenting support needs in the perinatal period in Australia.
A qualitative descriptive research study. Participant fathers were recruited using purposive and snowball sampling who self-identified as CALD.
Data were collected through semi-structured telephone interviews with 15 Australian fathers aged between 29 and 56 years in July–November 2022. Data were analysed using Braun and Clarke's six stages of thematic analysis to code, categorise and identify themes from the data.
Four major themes and six sub-themes emerged from the data, ‘Under pressure’, ‘Slipping through the cracks’, ‘Gaining knowledge and support by health professionals’, and ‘Path ahead: changed roles and being supported by peers’ that encompassed fathers' early parenting experiences and support needs in the perinatal period.
Culturally and linguistically diverse fathers experience challenges in navigating maternal health care settings and at times interactions with health professionals. However, findings from this study showed that fathers were determined to navigate resources, services and networks that supported their transition to fatherhood in the early postpartum weeks. There is a need for maternity settings to be a ‘father-inclusive’ environment where informational and practical support is readily available to them. Legislation reform is needed that recognises fathers as parents who require adequate ‘paid’ parental leave entitlements that foster family relationships and recognises the role fathers play in the development of their child.
This study provides insights into the support needs of CALD fathers in the perinatal period. Findings from this study have the potential to shape and design culturally appropriate health services and interventions tailored to CALD fathers that meet their nuanced needs through the lens of cultural competence and trauma informed maternity care.
What problem did the study address?: The study explored the support needs of CALD fathers in the perinatal period. What were the main findings?: The findings revealed CALD fathers feel a sense of responsibility and pressure to live up to socio-cultural expectations and support the family unit while engaging in paid employment to earn a living. At times fathers were not encouraged to be parenting partners by health professionals, and there was an expectation that they would be familiar and have knowledge about pregnancy, labour, birth and the transition to fatherhood. Some fathers struggled with their transition to parenthood either due to lack of paid parental support or limited to no family support. However, some fathers found alternatives to manage and adjust in the early weeks postpartum, which included peer support groups and online information. Where and on whom will the research have an impact?: The research has the potential to impact all fathers, as the findings may be transferrable across a number of communities. The research also has the potential to influence cultural competence training for health care professionals and inform policy development that employs a family centred model of maternity care inclusive of culturally diverse families.
The paper has adhered to the EQUATOR COREQ reporting guideline.
This study did not include patient or public involvement in its design, conduct or reporting.
by Stefan Saverimuttu, Kate McInnes, Kristin Warren, Lian Yeap, Stuart Hunter, Brett Gartrell, An Pas, James Chatterton, Bethany Jackson
The ability to efficiently derive insights from wildlife necropsy data is essential for advancing conservation and One Health objectives, yet close reading remains the mainstay of knowledge retrieval from ubiquitous free-text clinical data. This time-consuming process poses a barrier to the efficient utilisation of such valuable resources. This study evaluates part of a bespoke text-mining application, DEE (Describe, Explore, Examine), designed for extracting insights from free-text necropsy reports housed in Aotearoa New Zealand’s Wildbase Pathology Register. A pilot test involving nine veterinary professionals assessed DEE’s ability to quantify the occurrence of four clinicopathologic findings (external oiling, trauma, diphtheritic stomatitis, and starvation) across two species datasets by comparison to manual review. Performance metrics—recall, precision, and F1-score—were calculated and analysed alongside tester-driven misclassification patterns. Findings reveal that while DEE (and the principals underlying its function) offers time-efficient data retrieval, its performance is influenced by search term selection and the breadth of vocabulary which may describe a clinicopathologic finding. Those findings characterized by limited terminological variance, such as external oiling, yielded the highest performance scores and the most consistency across application testers. Mean F1-scores across all tested findings and application testers was 0.63–0.93. Results highlight the utility and limitations of term-based text-mining approaches and suggests that enhancements to automatically capture this terminological variance may be necessary for broader implementation. This pilot study highlights the potential of relatively simple, rule-based text-mining approaches to derive insights natural language wildlife data in the support of One Health goals.Targeted biologic therapies have transformed outcomes for individuals with psoriasis, a common immune-mediated inflammatory skin disease. The widespread use of these highly effective treatments has led to a growing number of individuals with clear or nearly clear skin remaining on continuous, long-term treatment. Personalised strategies to minimise drug exposure may sustain long-term disease control while reducing treatment burden, associated risks and healthcare costs. This study aims to evaluate the feasibility of a definitive pragmatic effectiveness trial of two personalised dose minimisation strategies compared with continuous treatment (standard care) in adults with well-controlled psoriasis receiving the exemplar biologic risankizumab.
This is a multicentre, assessor-blind, parallel group, open-label randomised controlled feasibility trial in the UK, evaluating two personalised biologic dose minimisation strategies for psoriasis. 90 adults with both physician-assessed and patient-assessed clear or nearly clear skin on risankizumab monotherapy for ≥12 months will be randomised in a 1:1:1 ratio to (1) patient-led ‘as-needed’ treatment, where risankizumab is administered at the first sign of self-assessed psoriasis recurrence, (2) therapeutic drug monitoring-guided treatment, with personalised dosing intervals determined using a pharmacokinetic model or (3) continuous treatment as per standard care, for 12 months. Participants will be invited to submit self-reported outcomes and self-taken photographs every 3 months using a bespoke remote monitoring system (mySkin app) and will attend an in-person assessment at 12 months. They may also request additional patient-initiated follow-up appointments during the trial if needed. The primary outcome is the practicality and acceptability of the two personalised biologic dose minimisation strategies, assessed as a composite measure including recruitment and retention rates, adherence to the assigned strategies and acceptability to both patients and clinicians. The feasibility of collecting healthcare cost and resource utilisation data will also be evaluated to inform a future cost-effectiveness analysis. A nested qualitative study, involving semistructured interviews with patients and clinicians, will explore perspectives on the personalised biologic dose minimisation strategies. These findings will inform the design of a future definitive trial.
This study received ethical approval from the Seasonal Research Ethics Committee (reference 24/LO/0089). Results will be disseminated through scientific conferences, peer-reviewed publications and patient/public engagement events. Lay summaries and infographics will be codeveloped with patient partners to ensure the findings are accessible for the wider public.
Cluster analysis, a machine learning-based and data-driven technique for identifying groups in data, has demonstrated its potential in a wide range of contexts. However, critical appraisal and reproducibility are often limited by insufficient reporting, ultimately hampering the interpretation and trust of key stakeholders. The present paper describes the protocol that will guide the development of a reporting guideline and checklist for studies incorporating cluster analyses—Transparent Reporting of Cluster Analyses.
Following the recommended steps for developing reporting guidelines outlined by the Enhancing the QUAlity and Transparency Of health Research Network, the work will be divided into six stages. Stage 1: literature review to guide development of initial checklist. Stage 2: drafting of the initial checklist. Stage 3: internal revision of checklist. Stage 4: Delphi study in a global sample of researchers from varying fields (n=) to derive consensus regarding items in the checklist and piloting of the checklist. Stage 5: consensus meeting to consolidate checklist. Stage 6: production of statement paper and explanation and elaboration paper. Stage 7: dissemination via journals, conferences, social media and a dedicated web platform.
Due to local regulations, the planned study is exempt from the requirement of ethical review. The findings will be disseminated through peer-reviewed publications. The checklist with explanations will also be made available freely on a dedicated web platform (troca-statement.org) and in a repository.
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