The purpose of this research project was to determine if using the Coping with Labor Algorithm would lead to changes in the perception of the intrapartum (IP) nurses' beliefs toward birth practices and frequency of labor support interventions. Twenty-three participants completed the preintervention survey, which included the IP Nurses' Belief Toward Birth Practice Scale and the Labor Support Scale. Following completion of the preintervention survey, participants received a copy of the Coping with Labor Algorithm and Toolkit and then began implementation of the Coping with Labor Algorithm. After implementation, 13 IP nurses completed the postintervention survey. The surveyed IP nurses reported positive changes in their perceived frequency of labor support and a slight change in their birth beliefs.
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http://dx.doi.org/10.1891/1058-1243.27.3.152 | DOI Listing |
The severe functional impact of long COVID presents a significant challenge for clients seeking to return to work. Despite emerging clinical management guidelines, long COVID remains a concern in the rehabilitation field. There is a need to establish optimal practices for sustainable rehabilitation paths that enhance the recovery of clients with long COVID, all while understanding the challenges faced by rehabilitation professionals working with this population.
View Article and Find Full Text PDFAfr J Prim Health Care Fam Med
December 2024
Department of Public Health, Faculty of Health Sciences, University of Venda, Thohoyandou.
Background: Village health workers (VHWs), popularly known as community health workers (CHWs) in some contexts and settings, should effectively complement health care providers in primary health care (PHC) delivery in Zimbabwe. However, they continue to offer services that do not address current and emerging health issues.
Aim: This study aims to review the literature and develop a conceptual framework to improve the effectiveness and efficiency of VHWs in service delivery.
Bioinform Adv
November 2024
Institute of Biochemistry and Molecular Medicine, University of Bern, Bern 3012, Switzerland.
Summary: Protein structure prediction aims to infer a protein's three-dimensional (3D) structure from its amino acid sequence. Protein structure is pivotal for elucidating protein functions, interactions, and driving biotechnological innovation. The deep learning model AlphaFold2, has revolutionized this field by leveraging phylogenetic information from multiple sequence alignments (MSAs) to achieve remarkable accuracy in protein structure prediction.
View Article and Find Full Text PDFFront Vet Sci
January 2025
Flourish Veterinary Consulting, Firestone, CO, United States.
Individuals in the veterinary profession are experiencing significant mental health and wellbeing challenges. A holistic view of wellbeing, which encompasses both physical and mental health, underscores their interconnected nature. This integrated approach reduces the artificial separation of wellbeing facets, and highlights how mental states influence not only individuals, but also their interactions with animals, the environment, and others in the workplace.
View Article and Find Full Text PDFMethodsX
June 2025
Centre for Mental Health Research, The Australian National University, Canberra, Australia.
The involvement of service-users, clinicians, and other health service end-users is recognised as an essential part of health and medical research. This collaborative approach can significantly contribute to methodological advancements including the development of research instruments and measures that ensure their suitability for research participants. The current paper details the co-design, development and implementation of the novel, digitised COGwheel (Co-designed Outcomes for Guests Evaluation Wheel).
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