Norwegian Psychomotor Physiotherapy versus Cognitive Patient Education and active physiotherapy—A randomized controlled trial

Dragesund, Tove; Nilsen, Roy Miodini; Kvåle, Alice

doi:10.1002/pri.1891

Cited by 6 publications

(3 citation statements)

References 41 publications

(76 reference statements)

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“…They were aged 31, 60, 66, and 67 years old. Two were general physiotherapists, one was a specialist in manual therapy, and one was a specialist in psychomotor physiotherapy [ 40 ]. Three were considered very experienced, working as physiotherapists for more than 20 years, and one was less experienced, working less than five years.…”

Section: Resultsmentioning

confidence: 99%

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project

Granviken,

Meisingset,

Vasseljen

et al. 2023

BMC Med Inform Decis Mak

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Background We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MSK) pain disorders in primary care. The CDSS finds the most similar successful patients from the past to give treatment recommendations for a new patient. Using previous similar patients with successful outcomes to advise treatment moves management of MSK pain patients from one-size fits all recommendations to more individually tailored treatment. This study aimed to summarise the development and explore the acceptance and use of the CDSS for MSK pain patients. Methods This qualitative study was carried out in the Norwegian physiotherapy primary healthcare sector between October and November 2020, ahead of a randomised controlled trial. We included four physiotherapists and three of their patients, in total 12 patients, with musculoskeletal pain in the neck, shoulder, back, hip, knee or complex pain. We conducted semi-structured telephone interviews with all participants. The interviews were analysed using the Framework Method. Results Overall, both the physiotherapists and patients found the system acceptable and usable. Important findings from the analysis of the interviews were that the CDSS was valued as a preparatory and exploratory tool, facilitating the therapeutic relationship. However, the physiotherapists used the system mainly to support their previous and current practice rather than involving patients to a greater extent in decisions and learning from previous successful patients. Conclusions The CDSS was acceptable and usable to both the patients and physiotherapists. However, the system appeared not to considerably influence the physiotherapists' clinical reasoning and choice of treatment based on information from most similar successful patients. This could be due to a smaller than optimal number of previous patients in the CDSS or insufficient clinical implementation. Extensive training of physiotherapists should not be underestimated to build understanding and trust in CDSSs.

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Section: Resultsmentioning

confidence: 99%

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project

Granviken,

Meisingset,

Vasseljen

et al. 2023

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

show abstract

“…They were aged 31, 60, 66, and 67 years old. Two were general physiotherapists, one was a specialist in manual therapy, and one was a specialist in psychomotor physiotherapy (40). Three were considered very experienced, working as physiotherapists for more than 20 years, and one was less experienced, working less than ve years.…”

Section: Resultsmentioning

confidence: 99%

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – The SupportPrim Project

Granviken

Meisingset

Vasseljen

et al. 2023

Preprint

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Background We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MSK) pain disorders in primary care. The CDSS finds the most similar successful patients from the past to give treatment recommendations for a new patient. Using previous similar patients with successful outcomes to advise treatment moves management of MSK pain patients from one-size fits all recommendations to more individually tailored treatment. This study aimed to describe the development and explore the acceptance and use of the CDSS for MSK pain patients.Methods This mixed-methods study was carried out in the Norwegian physiotherapy primary healthcare sector between October and November 2020, ahead of a randomised controlled trial. We included four physiotherapists and three of their patients, in total 12 patients, with musculoskeletal pain in the neck, shoulder, back, hip, knee or complex pain. We conducted semi-structured telephone interviews with all participants. The interviews were analysed using the Framework Method. In addition, physiotherapists answered the 10-item System Usability Scale.Results Overall, both the physiotherapists and patients found the system acceptable and usable. Important findings from the analysis of the interviews were that the CDSS was valued as a preparatory and exploratory tool, facilitating the therapeutic relationship. However, the physiotherapists used the system mainly to support their previous and current practice rather than involving patients to a greater extent in decisions and learning from previous successful patients.Conclusions The CDSS was acceptable and usable to both the patients and physiotherapists. However, the system appeared not to considerably influence the physiotherapists' clinical reasoning and choice of treatment based on information from most similar successful patients. This could be due to a smaller than optimal number of previous patients in the CDSS or insufficient clinical implementation. Extensive training of physiotherapists should not be underestimated to build understanding and trust in CDSSs.

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“…The validation of a Norwegian translation of the CSQ-8 is particularly timely. First, over the last few years, it has increasingly been used as a measure of patient satisfaction [14,15,[34][35][36][37][38][39][40][41][42][43]. Second, several registered trials plan to use the questionnaire as an outcome measure [44][45][46][47][48].…”

Section: Introductionmentioning

confidence: 99%

A digital Norwegian version of the client satisfaction questionnaire 8: factor validity and internal reliability in outpatient mental health care

et al. 2022

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Background Validated measures of patient-reported experiences are essential for assessing and improving the quality of mental health services and interventions. In Norwegian mental healthcare settings, the Client Satisfaction Questionnaire (CSQ-8) is increasingly being used for this purpose, but the validity and reliability of the Norwegian translation have not been investigated. Methods We examined the factor structure and internal consistency of a digitally administrated Norwegian translation of the CSQ-8 in a sample of 338 patients recruited from outpatient treatment. The relationship between satisfaction scores and the change in symptom severity during treatment, measured by the Patient Health Questionnaire-4, was also investigated. Results The Norwegian CSQ-8 showed a clear unidimensional structure with one factor explaining 74% of the variance. Internal consistency was very high, with a Cronbach’s alpha of 0.95. Satisfaction showed a small-to-moderate negative relationship with change in symptom severity. Satisfaction scores were negatively skewed, and the presence of ceiling effects is discussed. Conclusion Our results support the use of the Norwegian CSQ-8 as a valid and reliable measure of satisfaction with mental healthcare services. Further studies are needed to determine the test-retest reliability of the questionnaire, its sensitivity to change, and to assess its propensity to ceiling effects.

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Norwegian Psychomotor Physiotherapy versus Cognitive Patient Education and active physiotherapy—A randomized controlled trial

Cited by 6 publications

References 41 publications

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – The SupportPrim Project

A digital Norwegian version of the client satisfaction questionnaire 8: factor validity and internal reliability in outpatient mental health care

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