Background: The need for physiotherapists to use standardised outcome measures (SOMs) is recognised and recommended in clinical practice guidelines in many countries.
Aim: To evaluate changes in physiotherapy practice in Nigeria on the utilisation of SOMs and physiotherapists' familiarity with and knowledge of SOMs over the past decade.
Methods: A comparative cross-sectional survey of present data with 2006 data was undertaken. The existing validated questionnaire of 2006 was used to assess physiotherapists' familiarity with, knowledge of and utilisation of 16 SOMs.
Results: There was a noticeable change in familiarity with and utilisation of 16 SOMs in the current data and in knowledge. Between 52% and 90% of physiotherapists were not familiar with 14 SOMs in 2006, whereas 51.4% - 85.8% of physiotherapists were not familiar with 8 SOMs in 2016; 77% - 97% and 63.4% - 97.3% of physiotherapists were not utilising SOMs in the 2006 and 2016 data, respectively. The least utilised SOMs in 2006 were Western Ontario McMaster Osteoarthritis Index, Chedoke McMaster Stroke Assessment and SF-36 Health Survey; in 2016, it was only the Chedoke McMaster Stroke Assessment. The Visual Analogue Scale and Gross Motor Function Measure remained the most utilised in both data. Duration of practice, age and sex were significant factors for the utilisation of and familiarity with SOMs.
Conclusion: There was an improvement in the familiarity with, knowledge of and utilisation of SOMs over the past decade among Nigerian physiotherapists but the level of utilisation is unsatisfactory. Action is required if routine outcome measurement is to be achieved.
Clinical Implications: Utilisation of SOMs is part of core standards of physiotherapy practice for effective management of patients. Although the utilisation of SOMs improved over the past 10 years, it is very low. Therefore, studies directed at finding factors responsible for low utilisation of SOMs among Nigerian physiotherapists are warranted.
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http://dx.doi.org/10.4102/sajp.v74i1.435 | DOI Listing |
Glob Health Action
December 2024
Faculty of Health Sciences, School of Medicine, Universidad Continental, Lima, Peru.
Background: Human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) have evolved into a global development burden, with nearly 40 million infections and 25 million deaths. Compared to other age groups, youth have increased risks of contracting the disease due to social and health structural factors; thus, additional efforts are needed to effectively tackle the challenges associated with this age group. Epidemiological studies employing unsupervised learning techniques are essential for shaping public health policies.
View Article and Find Full Text PDFAm J Surg
November 2024
Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, Sydney, Australia.
Introduction: Many studies display significant heterogeneity in the reliability of artificial intelligence (AI) assessment of minimally invasive surgical (MIS) skills. Our objective is to investigate whether AI systems utilising standardised objective metrics (SOMs) as the basis of skill assessment can provide a clearer understanding of the current state of such technology.
Methods: We systematically searched Medline, Embase, Scopus, CENTRAL and Web of Science from March 2023 to September 2023.
Risk Manag Healthc Policy
September 2024
Department of Health and Rehabilitation Sciences, Prince Sattam Bin Abdulaziz University, Al-kharj, 11942, Saudi Arabia.
Background: Clinical guidelines emphasize the use of standardized outcome measures (SOMs) in post-stroke rehabilitation. However, the extent of SOM utilization among physiotherapists in this context in Saudi Arabia remains unclear.
Aim: 1) assess the current use of SOMs by physiotherapists involved in stroke rehabilitation in Saudi Arabia and 2) identify facilitators and barriers influencing the use of SOMs.
Front Hum Neurosci
September 2024
Department of Neuroscience Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
Introduction: Degeneracy in the brain-behavior code refers to the brain's ability to utilize different neural configurations to support similar functions, reflecting its adaptability and robustness. This study aims to explore degeneracy by investigating the non-linear associations between psychometric profiles and resting-state functional connectivity (RSFC).
Methods: The study analyzed RSFC data from 500 subjects to uncover the underlying neural configurations associated with various psychometric outcomes.
Malawi Med J
March 2024
University of Free State, Centre for Graduate Support, Bloemfontein, South Africa.
Introduction: The utilisation of standardised outcome measures (SOMs) is crucial for evaluating patients' health status. Physiotherapists are highly recommended to use SOMs routinely. Despite the well-documented benefits of using SOMs, the utilisation of SOMs in clinical practice is still problematic particularly in Africa.
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