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Annals of Clinical and Analytical Medicine

E-ISSN: 2667-663X · Monthly · English

Clinical evaluation and treatment preferences of physiotherapists working in neurorehabilitation: a cross-sectional study from Türkiye

Physiotherapists’ clinical preferences

Abstract

AimThe study aimed to investigate the evaluation and treatment preferences of physiotherapists specializing in neurorehabilitation in Turkey.MethodsThe questionnaire was sent to 546 physiotherapists (PTs), and 94 of them responded (17%). The average duration of working years was 9.80 ± 9.31. The survey included questions about professional experience and the patient population they treat. It also inquired about the evaluation and treatment methods commonly used by physiotherapists.ResultsThe results showed a predominance of stroke survivors (S, 70.21%), followed by Parkinson’s disease (PD, 14.89%) and Multiple Sclerosis (MS, 14.89%). Standardised scales such as Brunnstrom for S, EDSS for MS and Hoehn and Yahr for PD were commonly used for the disease stage. PTs working with S frequently used the Berg balance test or Timed Up and Go (TUG) Test in dynamic balance assessment (31.81%). PTs working with MS prefer TUG or Minibest Test, while PTs working with PD prefer TUG or technology-based assessment for dynamic balance. Task-oriented approaches were preferred for MS (78.6%) and PD (92.9%). The Bobath was preferred for S (92.9%). Virtual reality was preferred for MS (64.3%), robotic systems for S (68.2%) and exergames for PD (42.9%). Postural exercises focusing on balance and coordination were commonly preferred for PD.ConclusionThe findings highlight the importance of standardised assessment tools and treatment guidelines to promote evidence-based practice. Although the low response rate of our study limits the generalizability of the findings, we believe that this study may be a preliminary idea for cross-cultural studies with multiple participants to establish standard evaluations or treatment preferences of PTs in neurorehabilitation.

Keywords

physiotherapistneurorehabilitationassessmenttreatment

Introduction

Rehabilitation is an important part of health care. It is applied to many conditions and specific areas.1-2 These are to prevent, ameliorate, treat, and protect (World Health Organization, 2030 Action Plan). The primary goal of rehabilitation programmes is to improve the patient’s quality of life and social adjustment by maintaining independence in activities, minimising pain and disability, and improving the ability to adapt to changing conditions.3
Neurological problems are one of the most common areas requiring rehabilitation. Millions of people worldwide are affected by neurodegenerative diseases.4 According to the World Health Organization (WHO), many neurological disorders are chronic and progressive, creating a global and diverse functional problem.5 Neurological problems have a negative impact on an individual’s health in many ways. To improve the physical and emotional functioning, quality of life and level of social participation of people with neurological conditions, it is necessary to understand the limitations they experience due to neurological conditions.6
The causes, which are genetic disorders, congenital abnormalities or disorders, infections, poor diet, brain injury, spinal cord injury, nerve damage, as well as lifestyle or environmental health issues, can vary from person to person.7-8 Additionally, a neurological problem can also originate in another system that directly or indirectly interacts with the nervous system. For example, stroke (S) includes brain damage caused by problems in the blood vessels that supply the brain (cardiovascular system); autoimmune disorders involve damage caused by the body’s own immune system.9
Neurological diseases bring along secondary problems and deformities that limit an individual’s independence by negatively affecting the basic components of daily life activities, functionality, productivity, and participation. Problems related to the motor and sensory systems seen in neurological diseases are often accompanied by cognitive, behavioural, sensory, communication, and perceptual disorders.10 Participation in daily life activities is known to increase individuals’ creativity, improve their skills, and enable them to integrate and adapt to social life.11 The primary goal of rehabilitation is to determine the limitations that individuals experience due to neurological diseases to improve their quality of life and social participation levels.1
The most common neurological diseases are S, Multiple Sclerosis (MS), and Parkinson’s Disease (PD). Neurorehabilitation is a process that aims to improve the quality of life by minimizing functional disorders caused by motor and sensory impairments in the nervous system.12 Successful neurorehabilitation requires a detailed and accurate evaluation process and planning an effective treatment programme.12-13 The International Classification of Functioning, Disability and Health (ICF) should be used in the evaluation and preparation of the treatment programme for proper documentation in clinical practice and research projects with a common language.
Neurorehabilitation protocols are not like orthopaedic rehabilitation protocols, where the methodology is well established. Treating a variety of neurological conditions with a wide range of symptoms has challenged us to develop unique and individual programmes.14 However, it may still be a good idea to create a unique protocol with guidelines that include specific assessment and treatment protocols. There is no common perspective on the assessment procedure and treatment methods used in the field of neurorehabilitation in Turkey. The extent of ICF-based assessment and treatment in this area in Turkey, as in the rest of the world, is still unclear.
The four-year Physiotherapy and Rehabilitation curriculum (Bachelor of Science) includes neuroanatomy, neurology and neurophysiological approaches and neurological rehabilitation courses. In addition to that, evaluation and treatment methods based on ICF are integrated into neurological rehabilitation and evaluation in undergraduate courses of that curriculum. Physiotherapists (PTs) are trained based on these educational strategies. PTs are fulfilled to work in this field. After graduation, PTs working in neurorehabilitation may become a member of the Neurological Physiotherapy Working Group, which is a subgroup of the Turkish Physiotherapists Association since the 2000s.
As far as we know, there are more PTs working in adult neurorehabilitation in private settings, rehabilitation centres or hospitals than the number of participants of this study. The pragmatic aims of the study were to:
(1) find out which assessment tools or evaluation techniques and treatment approaches are most preferred by PTs working in the field of neurorehabilitation in Turkey,
(2) create a common perspective based on PTs’ preferences in this field,
(3) establish standards in this field to create guidelines in neurorehabilitation for PTs working in Turkey.
With this study, it will be possible to encourage PTs working in this field to use and to consider evidence-based neurorehabilitation practice as well.

Materials and Methods

Study DesignThe present study was a cross-sectional and descriptive design study and was conducted from May 2023 to June 2023. The rights of subjects were protected, and they were asked to sign an informed consent form. This study has been registered on ClinicalTrials.gov with the registration number NCT05855096.ParticipantsNinety-four physiotherapists (64F, 30M) with a mean age of 33.94 ± 9.73 years were included in the study. Inclusion criteria were determined as having at least 3 years of experience in patient follow-up in neurorehabilitation, being actively working PTs, willingness to participate, and speaking and understanding Turkish (for foreign nationals). Participants were excluded from the study if they did not answer or partially answered the sections of the survey (Figure 1. Flowchart of this study).
“Sample Size Calculators” is an online sample size calculation web service that was used to calculate the sample size (https://www.sample-size.net/). The calculations were based on an alpha level of 0.05, a β level of 20%, the expected correlation coefficient of 0.30 and the desired power of 80%.15 These parameters generated a necessary sample size of at least 85 participants.Study ProtocolData collection was carried out using an online survey. The online survey was prepared by researchers with at least ten years of neurorehabilitation clinical practice experience. Before completing and distributing the survey, it was sent to three PTs who had been working in this field for a long time. The online survey link was delivered via corporate e-mail to PTs. The questionnaire created through Google Forms was delivered to the participants via the link. The link was active for one month during the data collection process.
The participants were informed that the study was carried out for scientific purposes, and the information was not shared with third parties. Before they started the questionnaire, they were asked whether they were willing to participate. All participants answered “yes” to the question “Do you agree to participate in the survey?”. All participants who agreed to participate in the survey were included in the study. The Google Forms questionnaire was sent to the members registered in the Turkish Physiotherapists Association and its neurorehabilitation subgroup members.
A demographic data form was prepared by the researchers and a form prepared via Google Forms to determine evaluation and treatment methods. In the structured questionnaire, we aimed to identify the most preferred assessment tools, evaluation techniques, and treatment approaches for patients suffering from neurological disorders. In addition, physiotherapists’ demographic data, including age, gender, years of experience in the profession, years of experience in the field of neurorehabilitation, and postgraduate education level, were collected.Data AnalysisIn this cross-sectional study, descriptive parameters belonging to participants were computed and calculated as mean ± standard deviation, median (Q1-Q4), frequency distribution, and percentage (% (n)).Ethical ApprovalThis study was approved by the Ethics Committee of Biruni University Non-Interventional (Date: 17.04.2023, Decision No: 2023/80-12).

Results

The questionnaire was sent to 546 PTs working in this field in Turkey. Only 94 physiotherapists met the inclusion criteria in the study. Response rate was 17%. Ninety-four physiotherapists (63F, 31M) with a mean age of 33.84 ± 9.73 years were included in the study (Figure 1. Flowchart of this study). PTs included in this study have been working for 9.80 ± 9.31 years in the neurorehabilitation field.
While 59.6% of PTs have been working at university or university hospitals, 20% of them have been working in private hospitals or clinics. 70.21% of them work with S, 14.89% of them work with PD, and 14.89% of them work with MS. While the disease stages were expressed as UPDRS in 29% and Hoehn and Yahr Scale in 71% for PD, they were expressed as 86% EDSS and 14% MSFC for MS patients. PTs working with S prefer to express disease stage as 73% Brunnstrom and 14% Fugl Meyer Assessment (Figure 2). Table 1 and Table 2 represent the assessment preferences of physiotherapists according to findings.
Although most of the PTs working with MS and PD prefer to evaluate according to the evidence-based method, only half of PTs working with S prefer to evaluate according to the ease of application. While the Ashworth or Modified Ashworth Scale is the most preferable standardized scale for PTs working with MS and S, PTs working with PD prefer to measure rigidity for muscle tone. PTs working with S (35.7%) stated that they use technological-based methods for assessing static balance, 42.85% of them stated that they used Timed Up and Go Test for dynamic balance. Although PTs working with S (53.03%) prefer to use observational gait analysis, PTs working with PD prefer to use observational gait analysis (21.42%), Rivermead Mobility Index (21.42%), and technological-based gait analysis (21.42%). Besides, PTs working with MS (21.42%) prefer to use the Twelve Item MS Walking Scale (MSWS-12) and observational gait analysis.
PTs working with MS (35.71%) and PTs working with S (62.11%) preferred to use Functional Independence Measurement (FIM), while half of PTs working with MS preferred to use Barthel Index for Activities of Daily Living (ADL). Most of the PTs working with MS (85.72%), PTs working with PD (71.42%), and PTs working with S (66.69%) prefer to use the Beck Depression Inventory to assess emotional status.
To measure quality of life, Multiple Sclerosis Quality of Life-54 (MSQOL-54) was preferred by 50%, the Parkinson’s Disease Quality of Life-39 (PDQ-39) was preferred by 92.86%, and the SF-36 was preferred by PTs working with S by 33.33%.
PTs working with MS (78.57%) reported using ICF-based assessment in clinical routine, and PTs working with PD (50%) reported using ICF-based assessment for research purposes. However, PTs working with S (34.84%) emphasized using ICF-based assessment both clinically and for research purposes.
The treatment preferences of physiotherapists working in this field are presented in Table 3. Although 78.6% of PTs working with MS and 92.9% of PTs working with PD prefer to use task-oriented approach, 92.9% of PTs working with S prefer to use Bobath concept. PTs working with MS (64.3%) prefer to use Virtual Reality, PTs working with S (68.2%) prefer to use robotic systems, and PTs working with PD (42.9%) prefer to use exergames. Although all the PTs working with MS and PD prefer Balance and Coordination exercises, PTs working with S (92.5%) also prefer Balance and Coordination exercises. All the PTs working with PD prefer to add postural exercises in a treatment programme. During treatment programme planning, PTs working with MS (78.6%) and S (39.4%) use ICF in clinical routine, while PTs working with PD (50%) use ICF for research purposes.

Discussion

The results of the study showed that the group of patients encountered by PTs had the highest prevalence of stroke, followed by Parkinson’s disease and multiple sclerosis. Most of the PTs working in the neurorehabilitation field in Turkey prefer and use standardised scales for assessment. For example, Brunnstrom scale for PTs working with S, EDSS for MS, Hoehn and Yahr scale for PD. Aligning with established clinical practice guidelines, the Berg Balance Test emerged as a widely utilized assessment tool for neurologic conditions, as substantiated by the relevant literature.16
In our study, it was observed that PTs working with S frequently used the Berg Balance Test or TUG in the assessment of dynamic balance (31.81%). PTs working with MS prefer TUG or Minibest Test, while physiotherapists working with PD prefer TUG or technology-based assessment for dynamic balance. Only half of the PTs working with S prefer to use observational gait analysis, PTs working with PD prefer to use the Tinetti Gait Scale or observational analysis, and PTs working with MS prefer to use the Twelve Item MS Walking Scale (MSWS-12) or observational gait analysis. There was no consensus on the assessment of dynamic balance and mobility according to the results obtained from our study.
PTs specialising in stroke rehabilitation often prefer to use the FIM as their primary ADL assessment tool because it provides a comprehensive assessment of functional abilities relevant to stroke recovery. For patients with MS, the Barthel Index is often favoured by PTs for its ability to assess functional limitations and guide rehabilitation interventions tailored to the needs of MS patients. The Schwab and England Activities of Daily Living Scale is widely used by PTs working with PD and is recognised for its sensitivity in capturing the unique challenges faced by patients and guiding therapeutic strategies aimed at improving functional independence.
The Beck Depression Inventory appears to be a common scale for all three groups of illnesses to assess emotional status. While PTs working with MS and PD prefer disease-specific assessment scales for the quality-of-life scale because it includes more disease-specific conditions, PTs working with stroke prefer the SF-36, which is a general quality of life scale.
Moving beyond assessment tools, the study illuminated distinctive therapeutic approaches employed by PTs based on the nature of the neurological condition. PTs expressed that they prefer to use task-oriented approach for MS and PD, Bobath concept for S survivors. It appears that PTs working with MS and PD are incorporating functional and goal-directed contemporary approaches into their treatment, while those working with S cannot abandon the Bobath concept.
PTs preferred virtual reality and exergames for MS and PD patients respectively, and they stated that robotic systems are generally used for S survivors, which may be because mobilisation is more difficult in patients with S. In the related literature, the study about PTs working with S reported that they use Bobath concept for rehabilitation process.17 Balance and coordination exercises are the most preferred type of exercise in neurorehabilitation in our study. A meta-analysis recommended that therapists should implement a regular exercise programme, including aerobic exercise, physical activity, stabilisation exercises, and balance exercises to improve balance for patients with MS, PD, or S.18
Similarly, PTs expressed that aerobic exercise, balance and coordination exercises, and strengthening exercises were important when implementing the neurorehabilitation treatment programme. The implementation of postural exercises was higher among therapists working with PD than other patient groups. International studies in the literature support our results in the treatment part of the neurorehabilitation field. It has been observed that the ICF perspective in neurorehabilitation is generally used mostly in clinical routine in PTs working with MS, mostly for research purposes in PTs working with PD, and that the use for clinical and research purposes is similar in PTs working with S. However, this study was conducted in Turkey and showed that there are very few standardised tests used for evaluation in the neurorehabilitation field, especially in gait. On the other hand, treatment options preferred by the PTs working in this field are the same as similar studies in the related literature.

Limitations

The response rate of our study was low because there are very few centres focusing on neurorehabilitation in Turkey. As expected, the number of participants was small in this study. This can be accepted as a limitation of our study.

Conclusion

In conclusion, the results of our survey suggest that PTs should plan new studies to reach many more PTs working in the neurorehabilitation field. Moreover, PTs would plan cross-cultural studies to compare the findings obtained from the study in the future. We believe that this study could be a preliminary idea for cross-cultural studies with many participants to establish standard assessment or treatment preferences in neurorehabilitation field. Briefly, the study showed that PTs do not actually spend much time on assessment, and the specific equipment facilities in clinics may also negatively influence this condition.

References

  1. Cavlak U, Belgen Kaygısız B. Nörolojik fizyoterapide ICF kavramı [ICF concept in neurological physiotherapy]. In: Armutlu K, ed. Nörolojik Fizyoterapide Klinik Ölçümler ve Değerlendirmeler [Clinical Measurements and Evaluations in Neurological Physiotherapy]. Türkiye Klinikleri; 2021:1-6.
  2. Krug E, Cieza A. Strengthening health systems to provide rehabilitation services. Ann Rehabil Med. 2017;41(2):169-170. doi:10.5535/arm.2017.41.2.169
  3. Wade DT. What is rehabilitation? An empirical investigation leading to an evidence-based description. Clin Rehabil. 2020;34(5):571-583. doi:10.1177/0269215520905112
  4. Guerra-Vázquez CM, Martínez-Ávila M, Guajardo-Flores D, Antunes-Ricardo M. Punicic acid and its role in the prevention of neurological disorders: a review. Foods. 2022;11(3):252. doi:10.3390/foods11030252
  5. Oña ED, Cano-de la Cuerda R, Sánchez-Herrera P, Balaguer C, Jardón A. A review of robotics in neurorehabilitation: towards an automated process for upper limb. J Healthc Eng. 2018;2018:9758939. doi:10.1155/2018/9758939
  6. Lexell J, Brogårdh C. The use of ICF in the neurorehabilitation process. NeuroRehabilitation. 2015;36(1):5-9. doi:10.3233/nre-141184
  7. Zis P, Hadjivassiliou M. Treatment of neurological manifestations of gluten sensitivity and coeliac disease. Curr Treat Options Neurol. 2019;21(3):1-10.
  8. Sadowska M, Sarecka-Hujar B, Kopyta I. Cerebral palsy: current opinions on definition, epidemiology, risk factors, classification, and treatment options. Neuropsychiatr Dis Treat. 2020;16:1505-1518. doi:10.2147/ndt.s235165
  9. Downey L, Houten R, Murch S, Longson D; Guideline Development Group. Recognition, assessment, and management of coeliac disease: summary of updated NICE guidance. BMJ. 2015;351. doi:10.1136/bmj.h4513
  10. Kantawala B, Ramadan N, Hassan Y, et al. Physical activity intervention for the prevention of neurological diseases. Health Sci Rep. 2023;6(8). doi:10.1002/hsr2.1524
  11. Tempest S, Jefferson R. Engaging with clinicians to implement and evaluate the ICF in neurorehabilitation practice. NeuroRehabilitation. 2015;36(1):11-15. doi:10.3233/nre-141185
  12. Krucoff MO, Rahimpour S, Slutzky MW, Edgerton VR, Turner DA. Enhancing nervous system recovery through neurobiologics, neural interface training, and neurorehabilitation. Front Neurosci. 2016;10:584. doi:10.3389/fnins.2016.00584
  13. Viruega H, Gaviria M. After 55 years of neurorehabilitation: what is the plan? Brain Sci. 2022;12(8):982. doi:10.3390/brainsci12080982
  14. Hernández J. Vulnerability. Dev Neurorehabil. 2008;11(3):167-168. doi:10.1080/17518420802144377
  15. Schober P, Boer C, Schwarte LA. Correlation coefficients: appropriate use and interpretation. Anesth Analg. 2018;126(5):1763-1768. doi:10.1213/ane.0000000000002864
  16. Moore JL, Potter K, Blankshain K, Kaplan SL, OʼDwyer LC, Sullivan JE. A core set of outcome measures for adults with neurologic conditions undergoing rehabilitation: a clinical practice guideline. J Neurol Phys Ther. 2018;42(3):174-220. doi:10.1097/npt.0000000000000229
  17. Abdullahi A, Abdu YY, Aliyu MA. What do physiotherapists do in stroke rehabilitation? A focus group discussion. Niger J Med Rehab. 2015;18(2):1-17.
  18. Salari N, Hayati A, Kazeminia M, et al. The effect of exercise on balance in patients with stroke, Parkinson disease, and multiple sclerosis: a systematic review and meta-analysis of clinical trials. Neurol Sci. 2022;43(1):167-185. doi:10.1007/s10072-021-05689-y

Tables

Table 1. Assessment preferences of physiotherapists

n: number, %: percentage, S: Stroke, MS: Multiple Sclerosis, PD: Parkinson’s Disease *Participants had the right to choose more than one option in these items.

Table 2. Assessment preferences of physiotherapists- continued

n: number, %: percentage, S: Stroke, MS: Multiple Sclerosis, PD: Parkinson’s Disease WHOQOL-Brief: World Health Organization Quality of Life Brief, ICF: International Classification of Function.

Table 3. Treatment Preferences of Physiotherapists

*Participants had the right to choose more than one option in these items.

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How to Cite This Article

Güzin Kaya Aytutuldu, Uğur Cavlak, Duygu Kösedağ. Clinical evaluation and treatment preferences of physiotherapists working in neurorehabilitation: a cross-sectional study from Türkiye. doi:10.4328/ACAM.22154

Publication History

Received:
20.02.2024
Accepted:
02.04.2024
Published Online:
05.06.2024
Printed:
01.09.2024