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      Musculoskeletal imaging authority, levels of training, attitude, competence, and utilisation among clinical physiotherapists in Nigeria: a cross-sectional survey

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          Abstract

          Background

          Direct-access physiotherapy practice has led to a global review of the use of differential-diagnostic modalities such as musculoskeletal imaging (MI) in physiotherapy.

          Objective

          To explore the MI authority, levels of training, attitude, utilisation, and competence among clinical physiotherapists in Nigeria.

          Methods

          This national cross-sectional study analysed a voluntary response sample of 400 Nigerian physiotherapists that completed the online version of the Physiotherapist’s Musculoskeletal Imaging Profiling Questionnaire (PMIPQ), using descriptive statistics, Spearman’s correlation, Mann-Whitney U, Kruskal-Wallis, and Friedman’s ANOVA tests.

          Results

          Of the 400 participants, 93.2% believed that physiotherapists should use MI in clinical practice. However, only 79.8% reported having MI authority in their practice settings. The participants’ median (interquartile range) levels of training =10 (24) and competence =16 (24) were moderate. Nonetheless, levels of training (χ2 [15] = 1285.899, p = 0.001), and competence (χ2 [15] = 1310.769, p < 0.001) differed across MI procedures. The level of training and competence in x-ray referral and utilisation was significantly higher than magnetic resonance imaging, computed tomography scan, ultrasonography, scintigraphy, and dual-energy x-ray absorptiometry, in that order ( p < 0.05). There was a significant positive correlation between the levels of training and competence (rho =0.61, p < 0.001). The participants had a positive attitude =32 (32) and occasionally used MI in clinical practice =21 (28).

          Conclusion

          Majority of the respondents believed they had MI authority although there was no explicit affirmation of MI authority in the Nigerian Physiotherapy Practice Act. Participants had a positive attitude towards MI. However, levels of MI training, competence, and utilisation were moderate. Our findings have legislative and curriculum implications.

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          Most cited references32

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          Analyzing and interpreting data from likert-type scales.

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            The impact of non-response bias due to sampling in public health studies: A comparison of voluntary versus mandatory recruitment in a Dutch national survey on adolescent health

            Background In public health monitoring of young people it is critical to understand the effects of selective non-response, in particular when a controversial topic is involved like substance abuse or sexual behaviour. Research that is dependent upon voluntary subject participation is particularly vulnerable to sampling bias. As respondents whose participation is hardest to elicit on a voluntary basis are also more likely to report risk behaviour, this potentially leads to underestimation of risk factor prevalence. Inviting adolescents to participate in a home-sent postal survey is a typical voluntary recruitment strategy with high non-response, as opposed to mandatory participation during school time. This study examines the extent to which prevalence estimates of adolescent health-related characteristics are biased due to different sampling methods, and whether this also biases within-subject analyses. Methods Cross-sectional datasets collected in 2011 in Twente and IJsselland, two similar and adjacent regions in the Netherlands, were used. In total, 9360 youngsters in a mandatory sample (Twente) and 1952 youngsters in a voluntary sample (IJsselland) participated in the study. To test whether the samples differed on health-related variables, we conducted both univariate and multivariable logistic regression analyses controlling for any demographic difference between the samples. Additional multivariable logistic regressions were conducted to examine moderating effects of sampling method on associations between health-related variables. Results As expected, females, older individuals, as well as individuals with higher education levels, were over-represented in the voluntary sample, compared to the mandatory sample. Respondents in the voluntary sample tended to smoke less, consume less alcohol (ever, lifetime, and past four weeks), have better mental health, have better subjective health status, have more positive school experiences and have less sexual intercourse than respondents in the mandatory sample. No moderating effects were found for sampling method on associations between variables. Conclusions This is one of first studies to provide strong evidence that voluntary recruitment may lead to a strong non-response bias in health-related prevalence estimates in adolescents, as compared to mandatory recruitment. The resulting underestimation in prevalence of health behaviours and well-being measures appeared large, up to a four-fold lower proportion for self-reported alcohol consumption. Correlations between variables, though, appeared to be insensitive to sampling bias.
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              Analysis of appropriateness of outpatient CT and MRI referred from primary care clinics at an academic medical center: how critical is the need for improved decision support?

              The aim of this study was to retrospectively analyze a large group of CT and MRI examinations for appropriateness using evidence-based guidelines. The authors reviewed medical records from 459 elective outpatient CT and MR examinations from primary care physicians. Evidence-based appropriateness criteria from a radiology benefit management company were used to determine if the examination would have met criteria for approval. Submitted clinical history at the time of interpretation and clinic notes and laboratory results preceding the date of the imaging study were examined to simulate a real-time consultation with the referring provider. The radiology reports and subsequent clinic visits were analyzed for outcomes. Of the 459 examinations reviewed, 284 (62%) were CT and 175 (38%) were MRI. Three hundred forty-one (74%) were considered appropriate, and 118 (26%) were not considered appropriate. Examples of inappropriate examinations included brain CT for chronic headache, lumbar spine MR for acute back pain, knee or shoulder MRI in patients with osteoarthritis, and CT for hematuria during a urinary tract infection. Fifty-eight percent of the appropriate studies had positive results and affected subsequent management, whereas only thirteen percent [corrected] of inappropriate studies had positive results and affected management. A high percentage of examinations not meeting appropriateness criteria and subsequently yielding negative results suggests a need for tools to help primary care physicians improve the quality of their imaging decision requests. In the current environment, which stresses cost containment and comparative effectiveness, traditional radiology benefit management tools are being challenged by clinical decision support, with an emphasis on provider education coupled with electronic order entry systems.
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                Author and article information

                Contributors
                kzetfrank@yahoo.com
                Journal
                BMC Med Educ
                BMC Med Educ
                BMC Medical Education
                BioMed Central (London )
                1472-6920
                4 October 2022
                4 October 2022
                2022
                : 22
                : 701
                Affiliations
                [1 ]GRID grid.412207.2, ISNI 0000 0001 0117 5863, Department of Medical Rehabilitation, Faculty of Health Sciences and Technology, College of Health Sciences, , Nnamdi Azikiwe University, ; Awka, Anambra Nigeria
                [2 ]GRID grid.47609.3c, ISNI 0000 0000 9471 0214, Population Studies in Health, Faculty of Health Sciences, , University of Lethbridge, ; Lethbridge, Alberta Canada
                [3 ]GRID grid.10757.34, ISNI 0000 0001 2108 8257, Department of Medical Rehabilitation, Faculty of Health Sciences and Technology, College of Medicine, , University of Nigeria, ; Nsukka, Enugu, Nigeria
                [4 ]GRID grid.412207.2, ISNI 0000 0001 0117 5863, Department of Radiography and Radiological Sciences, Faculty of Health Sciences and Technology, College of Health Sciences, , Nnamdi Azikiwe University, ; Awka, Anambra Nigeria
                [5 ]GRID grid.10824.3f, ISNI 0000 0001 2183 9444, Department of Medical Rehabilitation, Faculty of Basic Medical Sciences, , Obafemi Awolowo University, ; Ile-Ife, Osun Nigeria
                [6 ]GRID grid.413097.8, ISNI 0000 0001 0291 6387, Department of Physiotherapy, Faculty of Allied Medical Sciences, , University of Calabar, ; Calabar, Cross River Nigeria
                [7 ]GRID grid.412438.8, ISNI 0000 0004 1764 5403, Department of Physiotherapy, , University College Hospital, ; Ibadan, Oyo Nigeria
                [8 ]GRID grid.442598.6, ISNI 0000 0004 0630 3934, Department of Physiotherapy, Faculty of Basic Medical Sciences, College of Health Sciences, , Bowen University, ; Iwo, Osun Nigeria
                [9 ]GRID grid.25073.33, ISNI 0000 0004 1936 8227, School of Rehabilitation Science, , McMaster University, ; Hamilton, Ontario Canada
                Article
                3769
                10.1186/s12909-022-03769-x
                9533569
                36195923
                68c06776-ec8d-43d8-8932-2e7c8a28d377
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 6 March 2022
                : 26 September 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Education
                clinical competence,curriculum,diagnostic imaging,physical therapists,referral
                Education
                clinical competence, curriculum, diagnostic imaging, physical therapists, referral

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