Strategies of prevention of the work-related injuries in physiotherapists

Mikołajewska, Emilia

doi:10.13075/mp.5893.00338

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…Most of the data need further confirmation in future studies due to methodological, legal and cultural differences. Action is needed to reduce the prevalence of the aborementioned pathologies, including through the implementation of stress prevention and management strategies that raise awareness among both physiotherapists themselves and managers of healthcare organisations [19][20][21][22] Descriptive Index (JDI) and Oldenburg Burnout Inventory (OLBI). Respondents showed high levels of job satisfaction and job burnout, but higher levels of job burnout were associated with lower job satisfaction.…”

Section: Reference To Results Of Other Studiesmentioning

confidence: 99%

Selected determinants of occupational stress and burnout in physiotherapists and IT professionals

MIKOŁAJEWSKI

MASIAK

MIKOŁAJEWSKA

2023

J Educ Health Sport

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IntroductionOccupational stress and burnout have a statistically significant negative impact on learning and work in the professional groups studied, but the exact manner and strength of the impact and the neurophysiological mechanisms underlying the aforementioned phenomena are not yet well understood. The main reason for this is the paucity of research, both on the neurobiological basis and on the incidence and impact on the lives of different professional groups. Aim of the study The main objective of the study is to determine the clinical and neurophysiological determinants of occupational stress and burnout, and in particular to investigate whether: - occupational stress and burnout are related to occupational group, - the start of professional work already during studies is a significant differentiating factor, - the nature of work, gender and seniority affect work-related musculoskeletal problems. Materials and methods Two groups were recruited for the study: study group (physiotherapists, n = 50), reference group (IT professionals, n = 50). Five clinimetric scales were used in the study: PSS10, MBI, SWLS, MSQ-SF, NMQ. Results Clinical and neurophysiological determinants of occupational stress and burnout relate to statistically significant effects: occupation, age, length of work, mode of employment, combination of study and work, and multi-work/multi-job. Conclusions Stress and burnout are related to the occupational group, with physiotherapists' occupational group experiencing them with greater severity than the IT occupational group. Starting a career already during studies is an important differentiating factor: it increases the risk of stress and professional burnout. The mode of employment, gender and seniority influence work-related musculoskeletal problems: they are experienced more often by the self-employed, men, older people and those with longer work experience.

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Section: Reference To Results Of Other Studiesmentioning

confidence: 99%

Selected determinants of occupational stress and burnout in physiotherapists and IT professionals

MIKOŁAJEWSKI

MASIAK

MIKOŁAJEWSKA

2023

J Educ Health Sport

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“…We checked in previous research [ 11 , 12 , 13 , 14 , 15 ] that the following configuration turned out to be effective: In the rules—operation of aggregation of premises—PROD; Implication operator—MIN; Operation of accumulation, also called aggregation of results, from the rules—MAX; Operation of defuzzification-center of gravity (COG). …”

Section: Methodsmentioning

confidence: 99%

“…Assessment of the quality of life or satisfaction with life is usually subjective and multifactorial (related, for example, to economic criteria [ 8 , 9 ]). For the aforementioned reasons, in the search for representative coefficients to support the detection of deterioration of life satisfaction and assessment of life satisfaction, we turned to clinimetric tests, taking into account both psychological aspects of life (e.g., job burnout) or the physical condition of the human body [ 10 , 11 , 12 , 13 , 14 ].Focusing on objectifying the individual’s sense of life satisfaction, a previous work introduced the ’personal living usual satisfaction’(PLUS) model [ 15 ]. Even though it is based on previously known and widely used solutions (clinimetric tests from psychology and physiotherapy), thanks to the use of fuzzy logic, it allows us to obtain a synergistic effect (aggregation) of knowledge from already existing procedures and a directional effect of changes in the values of the parameters tested and calculated.…”

Section: Introductionmentioning

confidence: 99%

Intelligent System for Detecting Deterioration of Life Satisfaction as Tool for Remote Mental-Health Monitoring

Prokopowicz

Mikołajewski

Mikołajewska

2022

Sensors

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The research described in this article is a continuation of work on a computational model of quality of life (QoL) satisfaction. In the proposed approach, overall life satisfaction is aggregated to personal life satisfaction (PLUS). The model described in the article is based on well-known and commonly used clinimetric scales (e.g., in psychiatry, psychology and physiotherapy). The simultaneous use of multiple scales, and the complexity of describing the quality of life with them, require complex fuzzy computational solutions. The aim of the study is twofold: 1) To develop a fuzzy model that allows for the detection of changes in life satisfaction scores (data on the influence of the COVID-19 pandemic and the war in the neighboring country were used). 2) To develop more detailed guidelines than the existing ones for further similar research on more advanced intelligent systems with computational models which allow for sensing, detecting and evaluating the psychical state. We are concerned with developing practical solutions with higher scientific and clinical utility for both small datasets and big data to use in remote patient monitoring. Two exemplary groups of specialists at risk of occupational burnout were assessed three times at different intervals in terms of life satisfaction. The aforementioned assessment was made on Polish citizens because the specific data could be gathered: before and during the pandemic and during the war in Ukraine(a neighboring country).That has a higher potential for presenting a better analysis and reflection on the practical application of the model. A research group (physiotherapists, n = 20) and a reference group (IT professionals, n = 20) participated in the study. Four clinimetric scales were used for assessment: the Perceived Stress Scale (PSS10), the Maslach Burnout Scale (MBI), the Satisfaction with Life Scale (SWLS), and the Nordic Musculoskeletal Questionnaire (NMQ). The assessment was complemented by statistical analyses and fuzzy models based on a hierarchical fuzzy system. Although several models for understanding changes in life satisfaction scores have been previously investigated, the novelty of this study lies in the use of data from three consecutive time points for the same individuals and the way they are analyzed, based on fuzzy logic. In addition, the new hierarchical structure of the model used in the study provides flexibility and transparency in the process of remotely monitoring changes in people's mental well-being and a quick response to observed changes. The aforementioned computational approach was used for the first time.

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Effect of COVID-19 on Selected Characteristics of Life Satisfaction Reflected in a Fuzzy Model

Mikołajewski

Prokopowicz

2022

Applied Sciences

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The general goal of the research in this article is to devise an algorithm for assessing overall life satisfaction—a term often referred to as Quality of Life (QoL). It is aggregated to its own proposition, called personal life usual satisfaction (PLUS). An important assumption here is that the model is based on already known and commonly used solutions, such as medical (psychological and physiotherapeutic) questionnaires. Thanks to this, the developed solution allows us to obtain a synergy effect from the existing knowledge, without the need to design new, complicated procedures. Fuzzy multivariate characterization of life satisfaction presents a challenge for a complete analysis of the phenomenon. The complexity of description using multiple scales, including linguistic, requires additional computational solutions, as presented in this paper. The detailed aim of this study is twofold: (1) to develop a fuzzy model reflecting changes in life satisfaction test scores as influenced by the corona virus disease 2019 (COVID-19) pandemic, and (2) to develop guidelines for further research on more advanced models that are clinically useful. Two groups affected by professional burnout to different degrees were analyzed toward life satisfaction twice (pre- and during pandemy): a study group (physiotherapists, n=25) and a reference group (computer scientists, n=25). The Perceived Stress Score (PSS10), Maslach Burnout Inventory (MBI), Satisfaction with Life Scale (SWLS), and Nordic Musculoskeletal Questionnaire (NMQ) were used. The resultant model is based on a hierarchical fuzzy system. The novelty of the proposed approach lies in the combination of the use of data from validated clinimetric tests with the collection of data from characteristic time points and the way in which they are analyzed using fuzzy logic through transparent and scalable hierarchical models. To date, this approach is unique and has no equivalent in the literature. Thanks to the hierarchical structure, the evaluation process can be defined as a modular construction, which increases transparency and makes the whole procedure more flexible.

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Strategies of prevention of the work-related injuries in physiotherapists

Cited by 3 publications

References 18 publications

Selected determinants of occupational stress and burnout in physiotherapists and IT professionals

Selected determinants of occupational stress and burnout in physiotherapists and IT professionals

Intelligent System for Detecting Deterioration of Life Satisfaction as Tool for Remote Mental-Health Monitoring

Effect of COVID-19 on Selected Characteristics of Life Satisfaction Reflected in a Fuzzy Model

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