Background: Interdisciplinary team working could facilitate the efficient provision and coordination of increasingly diverse health services, thereby improving the quality of patient care. The purpose of this study was to describe knowledge of interdisciplinary team working among obstetricians and gynecologists in two teaching hospitals in South East Nigeria and to determine their attitude toward an interdisciplinary collaborative approach to patient care in these institutions.
Methods: This was a questionnaire-based cross-sectional study. Data analysis involved descriptive statistics and was carried out using Statistical Package for the Social Sciences software version 17.0 for Windows.
Results: In total, 116 doctors participated in the study. The mean age of the respondents was 31.9±7.0 (range 22-51) years. Approximately 74% of respondents were aware of the concept of interdisciplinary team working. Approximately 15% of respondents who were aware of the concept of interdisciplinary team working had very good knowledge of it; 52% had good knowledge and 33% had poor knowledge. Twenty-nine percent of knowledgeable respondents reported ever receiving formal teaching/training on interdisciplinary team working in the course of their professional development. About 78% of those aware of team working believed that interdisciplinary teams would be useful in obstetrics and gynecology practice in Nigeria, with 89% stating that it would be very useful. Approximately 77% of those aware of team working would support establishment and implementation of interdisciplinary teams at their centers.
Conclusion: There was a high degree of knowledge of the concept and a positive attitude toward interdisciplinary team working among obstetricians and gynecologists in the study centers. This suggests that the attitude of physicians may not be an impediment to implementation of a collaborative interdisciplinary approach to clinical care in the study centers.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4451848 | PMC |
| http://dx.doi.org/10.2147/JMDH.S82969 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Creating a culture, not just a space-A qualitative investigation into reflective practice groups in inpatient mental health settings from the perspectives of facilitators and attendees.
PLoS One
January 2025
Division of Psychiatry, University College London, London, United Kingdom.
Background: Working in inpatient mental health settings is often characterised by highly emotive work and staff shortages. Despite the suggested benefits of reflective practice groups on staff well-being and clinical practice across healthcare settings, to date, there have been limited empirical studies on reflective practice groups in inpatient mental health settings, especially on group engagement and improvement.
Methods: We interviewed fifteen participants, including both facilitators and attendees of reflective practice groups.
Treatment of Seizures in People with Intellectual Disability.
CNS Drugs
January 2025
Cornwall Intellectual Disability Equitable Research (CIDER), University of Plymouth, Truro, England.
There is a synergistic relationship between epilepsy and intellectual disability (ID), and the approach to managing people with these conditions needs to be holistic. Epilepsy is the main co-morbidity associated with ID, and clinical presentation tends to be complex, associated with higher rates of treatment resistance, multi-morbidity and premature mortality. Despite this relationship, there is limited level 1 evidence to inform treatment choice for this vulnerable population.
View Article and Find Full Text PDFMulti-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound.
Int J Comput Assist Radiol Surg
January 2025
Department of Radiology, University of Chicago, Chicago, IL, USA.
Purpose: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS classification is a key step in predicting nodule pathology. Determining thyroid nodule contours is necessary for the calculation of TIRADS scores and can also be used in the development of machine learning nodule diagnosis systems. This paper presents the development, validation, and multi-institutional independent testing of a machine learning system for the automatic segmentation of thyroid nodules on ultrasound.
View Article and Find Full Text PDFMechanism of Sirtuin1-Mediated Deacetylation of p65-Mediated Ferroptosis of Hippocampal Neurons in Cerebral Injury after Cardiopulmonary Resuscitation in Rats.
Neurochem Res
January 2025
Department of Radiology, the Second Affiliated Hospital of Kunming Medical University, No.374 Yunnan-Burma Road, Wuhua District, Kunming, Yunnan, 650101, PR China.
Objective: Post-resuscitation brain injury is a common sequela after cardiac arrest (CA). Increasing sirtuin1 (SIRT1) has been involved in neuroprotection in oxygen-glucose deprivation (OGD) neurons, and we investigated its mechanism in post-cardiopulmonary resuscitation (CPR) rat brain injury by mediating p65 deacetylation modification to mediate hippocampal neuronal ferroptosis.
Methods: Sprague-Dawley rat CA/CPR model was established and treated with Ad-SIRT1 and Ad-GFP adenovirus vectors, or Erastin.
Understanding the Scale and Nature of Parent/Guardian Telephone Calls to a Tertiary Children's Cardiac Centre: A Service Evaluation.
Compr Child Adolesc Nurs
January 2025
Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.
Heart defects are the second most common congenital anomaly in babies born in the UK and standards state families should have access to a children's cardiac nurse specialist telephone advice service. However, there is little published information to describe the nature of calls and the workload associated with telephone support. We conducted a prospective service evaluation of telephone calls received at one UK specialist children's cardiac surgical center from parents/carers (April-June 2019).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!