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Physiotherapist’s musculoskeletal imaging profiling questionnaire: Development, validation and pilot testing

BACKGROUND: Many countries have started adopting musculoskeletal imaging as part of physiotherapy practice and their educational programmes are expected to bridge the gaps in training. OBJECTIVES: To develop an instrument that can be used to explore the level and nature of training, attitude, compet...

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Detalles Bibliográficos
Autores principales: Onyeso, Ogochukwu K.K., Umunnah, Joseph O., Ibikunle, Peter O., Odole, Adesola C., Anyachukwu, Canice C., Ezema, Charles I., Nwankwo, Maduabuchukwu J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AOSIS 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779980/
https://www.ncbi.nlm.nih.gov/pubmed/31616801
http://dx.doi.org/10.4102/sajp.v75i1.1338
Descripción
Sumario:BACKGROUND: Many countries have started adopting musculoskeletal imaging as part of physiotherapy practice and their educational programmes are expected to bridge the gaps in training. OBJECTIVES: To develop an instrument that can be used to explore the level and nature of training, attitude, competence and utilisation of musculoskeletal imaging among physiotherapists. METHOD: An exploratory sequential mixed methods design was used. An in-depth international literature search was conducted, followed by a focus group discussion (FGD). The FGD informants were recruited through maximum variation sampling. The results of the FGD and the information from relevant literature were used to draft the physiotherapist’s musculoskeletal imaging profile questionnaire (PMIPQ). The PMIPQ was then subjected to face, content and criterion validity and pilot testing. The final version of the PMIPQ consists of six domains: (A) demographic details, (B) nature of training in musculoskeletal imaging, (C) level of training, (D) attitude towards musculoskeletal imaging, (E) utilisation and (F) competence. Data were analysed using means, standard deviation, Spearman’s correlation (ρ) and Cronbach’s alpha (α); SPSS 20 software (p ≤ 0.05). RESULTS: The results showed that the PMIPQ has good psychometric properties: validity and internal consistency. The test–retest reliability (p-value) across the domains was: C (0.973), D (0.979), E (0.842) and F (0.716). CONCLUSION: Physiotherapist’s musculoskeletal imaging profile questionnaire is a relevant instrument for assessing the musculoskeletal imaging profile of physiotherapists in Nigeria and in other countries with a similar scope of training and practice. CLINICAL IMPLICATIONS: Musculoskeletal system imaging is a potentially useful adjunct to physiotherapists in clinical practice.