MAPO index for risk assessment of patient manual handling in hospital wards: a validation study

Preliminary Evaluation of New Wearable Sensors to Study Incongruous Postures Held by Employees in Viticulture

Musculoskeletal Disorders (MSDs) stand as a prominent cause of injuries in modern agriculture. Scientific research has highlighted a causal link between MSDs and awkward working postures. Several methods for the evaluation of working postures, and related risks, have been developed such as the Rapid Upper Limb Assessment (RULA). Nevertheless, these methods are generally applied with manual measurements on pictures or videos. As a consequence, their applicability could be scarce, and their effectiveness could be limited. The use of wearable sensors to collect kinetic data could facilitate the use of these methods for risk assessment. Nevertheless, the existing system may not be usable in the agricultural and vine sectors because of its cost, robustness and versatility to the various anthropometric characteristics of workers. The aim of this study was to develop a technology capable of collecting accurate data about uncomfortable postures and repetitive movements typical of vine workers. Specific objectives of the project were the development of a low-cost, robust, and wearable device, which could measure data about wrist angles and workers' hand positions during possible viticultural operations. Furthermore, the project was meant to test its use to evaluate incongruous postures and repetitive movements of workers' hand positions during pruning operations in vineyard. The developed sensor had 3-axis accelerometers and a gyroscope, and it could monitor the positions of the hand-wrist-forearm musculoskeletal system when moving. When such a sensor was applied to the study of a real case, such as the pruning of a vines, it permitted the evaluation of a simulated sequence of pruning and the quantification of the levels of risk induced by this type of agricultural activity.

The Risk Assessment of Patient Handling in Hospitals of Northeast of Iran

The study aim was to determine the risk of Manual patient handling (MPH) in Shahroud public hospitals, Iran. A cross-sectional study was performed in Imam Hossein (IHospital) and Bahar (BHospital) with 21 wards. MPH risk assessment was performed using MAPO (Movement and Assistance of Hospital Patient) index. The ratio of operator to disabled patient (NC/Op and PC/Op), lifting, minor aid, wheelchair, environmental, and training factor are evaluated to calculate MAPO index. Among studied wards 57%, 33.3%, and 9.5%, respectively, were in the high, moderate, and low risk exposure level. The maximum MAPO score were 16.7 in CCU of IHospital. Emergency ward of BHospital had the highest score of 9.8 and PC/OP ratio 17.5. The most risk factors were minor aid (90.5%), lifting factor (71.4%), and PC/OP (66.7%). Immediate ergonomic action is recommended.

Investigating the Risk of Patient Manual Handling Using the Movement and Assistance of Hospital Patients Method among Hospital Nurses in Botswana

BACKGROUND

Evidence on the prevalence of lower back pain (LBP) among nurses is widespread in the literature, with several risk factors being reported. These include manual handling of patients, repetitive bending and twisting movements, and long working hours. It is reported that LBP has negative health outcomes and causes poor work performance among healthcare workers (HCWs). The magnitude of ergonomic risks associated with these healthcare activities has not been adequately investigated in Botswana. Thus, this study aimed to investigate the ergonomic risk levels associated with the manual handling of patients and its association with the prevalence of LBP among nurses in Botswana.

METHODS

This was an observational cross-sectional hospital-based study conducted in a Botswana public tertiary hospital from March to April 2023. The Movement and Assistance of Hospital Patients (MAPO) tool was used to collect data on ergonomic risk levels. Data on the demographic characteristics of participants were collected using a tool adapted from the Nordic Musculoskeletal Questionnaire (NMQ). Odds ratios and 95% confidence intervals were estimated to determine the association between ergonomic risk levels and the prevalence of LBP.

RESULTS

A total of 256 nurses participated and completed the study. The self-reported prevalence of LBP in this study was 76.6%. The risk of acquiring LBP was high (90.5%) based on the MAPO index. Although the frequencies of self-reported LBP were high among nurses, these did not show any significant association with the MAPO index data. This could be partly due to the small sample size.

CONCLUSIONS

There was a high prevalence of LBP in this study, which was corroborated by the MAPO index data. This has demonstrated the value of the MAPO index in forecasting the risk of patient manual handling. The findings might help Botswana formulate policies intended to address ergonomic preventive measures, directed towards reducing the MAPO index score by addressing the single risk determinants.

Validity and reliability of Japanese version of the MAPO index for assessing manual patient handling in nursing homes

OBJECTIVES

Low back pain (LBP) among caregivers in Japanese nursing homes has long been considered an occupational health issue. This study aimed to verify the reliability and validity of our developed Japanese version of the Movement and Assistance for Hospitalized Patients (J-MAPO) index, a risk assessment tool for LBP, in nursing homes.

METHODS

Two inspectors assessed 15 nursing homes using J-MAPO, and deduced 3 LBP risk levels as follows: low, moderate, and high risk. Caregivers in nursing homes responded to a self-administered questionnaire on LBP over the past 12 months. Data from 296 caregivers with no missing data were used. We further used logistic regression models to analyze the association between LBP as a dependent variable, and J-MAPO risk level as an independent variable. We used Cohen kappa coefficient to assess interrater reliability to further assess the agreement between the 2 inspectors.

RESULTS

The multivariate logistic regression analysis showed that the adjusted odds ratio and 95% CIs for LBP increased progressively with J-MAPO risk level (Low-risk: 1.00; Moderate-risk: 1.70 [0.74-3.91]; High-risk: 2.67 [1.28-5.56]). Furthermore, the J-MAPO risk levels assessed by the 2 inspectors were in perfect agreement (κ = 1) observed for interrater reliability using Cohen kappa coefficient.

CONCLUSIONS

There was high interrater reliability, and J-MAPO risk levels were associated with LBP. Therefore, our results suggest that the J-MAPO is a useful risk assessment tool for LBP in Japanese nursing homes.

sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material Liftings

Manual material handling and load lifting are activities that can cause work-related musculoskeletal disorders. For this reason, the National Institute for Occupational Safety and Health proposed an equation depending on the following parameters: intensity, duration, frequency, and geometric characteristics associated with the load lifting. In this paper, we explore the feasibility of several Machine Learning (ML) algorithms, fed with frequency-domain features extracted from electromyographic (EMG) signals of back muscles, to discriminate biomechanical risk classes defined by the Revised NIOSH Lifting Equation. The EMG signals of the multifidus and erector spinae muscles were acquired by means of a wearable device for surface EMG and then segmented to extract several frequency-domain features relating to the Total Power Spectrum of the EMG signal. These features were fed to several ML algorithms to assess their prediction power. The ML algorithms produced interesting results in the classification task, with the Support Vector Machine algorithm outperforming the others with accuracy and Area under the Receiver Operating Characteristic Curve values of up to 0.985. Moreover, a correlation between muscular fatigue and risky lifting activities was found. These results showed the feasibility of the proposed methodology-based on wearable sensors and artificial intelligence-to predict the biomechanical risk associated with load lifting. A future investigation on an enriched study population and additional lifting scenarios could confirm the potential of the proposed methodology and its applicability in the field of occupational ergonomics.

Nurses sustain manual handling risk assessment behaviours six-months after a training program to move patients safely: a pre-post study

PURPOSE

To determine if a patient manual handling training program focused on dynamic manual handling risk assessment for staff and patient safety, together with the patient's need for physical rehabilitation, can be transferred and sustained in clinical practice.

MATERIALS AND METHODS

Using a pre-post design, nurses (n = 72) from acute and rehabilitation wards participated in a 4-hour training session teaching dynamic manual handling risk assessment to safely move patients. Clinical observations audits of patient transfers were conducted prior to, and at 1-month and 6-months post training. Surveys determined experiences of training. Nurse musculoskeletal injuries and patient falls were measured 6-months after training.

RESULTS

Program patient handling skills were competently implemented 89% of the time 1-month following training and were sustained 6-months following training. There was no change in falls rates and staff injury rates were very low pre- and post-training. Training was well received and all nurses passed the competency assessment.

CONCLUSION

The patient handling training program taught nurses to better identify factors associated with risk to themselves and their patients and gave them improved skills to help patients move. Skills were incorporated safely into clinical practice and sustained at 6-months. It is uncertain whether training impacted musculoskeletal injuries.Implications for rehabilitationA dynamic manual handling risk assessment program for safely transferring and moving patients balances staff safety with the patient's need for physical rehabilitation.Nurses can be taught risk assessment skills to better identify factors associated with risk to themselves and their patients that can be translated to clinical practice.Thorough risk assessment at the point of the nurse-patient interaction can enable a patient to move at their highest level of function thus providing patients with opportunities to progress their rehabilitation at every interaction.

A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks

Lifting is one of the most potentially harmful activities for work-related musculoskeletal disorders (WMSDs), due to exposure to biomechanical risk. Risk assessment for work activities that involve lifting loads can be performed through the NIOSH (National Institute of Occupational Safety and Health) method, and specifically the Revised NIOSH Lifting Equation (RNLE). Aim of this work is to explore the feasibility of a logistic regression model fed with time and frequency domains features extracted from signals acquired through one inertial measurement unit (IMU) to classify risk classes associated with lifting activities according to the RNLE. Furthermore, an attempt was made to evaluate which are the most discriminating features relating to the risk classes, and to understand which inertial signals and which axis were the most representative. In a simplified scenario, where only two RNLE variables were altered during lifting tasks performed by 14 healthy adults, inertial signals (linear acceleration and angular velocity) acquired using one IMU placed on the subject's sternum during repeated rhythmic lifting tasks were automatically segmented to extract several features in the time and frequency domains. The logistic regression model fed with significant features showed good results to discriminate "risk" and "no risk" NIOSH classes with an accuracy, sensitivity and specificity equal to 82.8%, 84.8% and 80.9%, respectively. This preliminary work indicated that a logistic regression model-fed with specific inertial features extracted by signals acquired using a single IMU sensor placed on the sternum-is able to discriminate risk classes according to the RNLE in a simplified context, and therefore could be a valid tool to assess the biomechanical risk in an automatic way also in more complex conditions (e.g., real working scenarios).

Application of MAPO (Movement and Assistance of Hospitalized Patients) method in hospitals and nursing homes: frequency of manual patient handling-part 2

This study examines the evolution of MAPO method for estimating the frequency of overloading tasks in healthcare workers during different shifts. The data presented were collected from 51 in-patient wards (25 hospitals and 26 nursing homes), and 917 workers: the frequency of MPH tasks is a complementary value to the MAPO exposure level, which is useful to implement a prevention plan targeted towards the reduction of overloading tasks. Based on the frequency of manual patient handling, it appears that the afternoon shift is at greatest risk, with tasks liable to cause overloading occurring within a frequency range of 70-85 per worker. The study analyzes different pieces of equipment and their relative percentages of use, concluding that, overall, they are underutilised (especially minor aids and height-adjustable beds). Practitioner summary: The organisational data collected in hospitals and nursing homes confirms the availability of patient handling aids and equipment, but also indicates that they are underutilised with respect to the frequency of overloading tasks.

Continuous assessment of trunk posture in healthcare workers assigned to wards with different MAPO index

Healthcare professionals generally experience an above-average incidence of low back disorders (LBDs) compared with workers of other professions, and its level of risk is commonly assessed using observational methods such as the MAPO method (Movement and Assistance of Hospital Patients). In this study, we continuously monitored the trunk posture of 30 healthcare workers using a single inertial sensor to: (1) understand whether the MAPO classification is effective in adequately discriminating the risk associated with the time spent in non-neutral trunk postures and (2) characterise the variability of biomechanical exposure among workers employed in wards with the same MAPO index. The results substantially confirm the validity of the MAPO approach in discriminating among wards characterised by different levels of biomechanical exposure associated with the risk of developing LBDs. However, they also highlight the need to assess workers' exposure on an individual basis due to the high intra-group variability.Practitioner summary: Employing a quantitative measurement setup to monitor trunk posture along with an observational method (ie MAPO) can identify the existence of criticalities or the poor application of ergonomic recommendations given during the training of healthcare workers even in hospital wards characterised by little or no risk of developing low back disorders.

Application of MAPO (movement and assistance of hospitalized patients) method in hospitals and nursing homes: 20 years of experience and evolution - part 1

This article illustrates the evolution of the MAPO method for quantifying the risk of musculoskeletal disorders associated with patient handling.The main factors that have influenced MAPO risk determinants include the rising number of disabled patients (D), growing understaffing, and the increased availability of equipment and training.Hospital wards and especially nursing homes have been provided with lifting equipment since 2008; however, 73.8% of the workforce in nursing homes is exposed to a high level of MAPO risk versus only 8.1% of hospital workers. This study presents organisational data in hospital wards (no.=528) and nursing homes (no.=214) involving 14,246 caregivers: the D/Op ratio in nursing homes is significantly higher compared to the corresponding ratio in hospital wards (p-value < 0.001). Moreover, the number of healthcare workers involved in manual patient handling activities over the night shift in nursing homes is much lower than the corresponding number in hospital wards. Practitioner summary: The purpose of this article is to illustrate organisational data from hospital wards and nursing homes, gathered over 20 years of implementing the MAPO method. The protocols for adapting the method to recent changes in care delivery are also presented.

Translation and cross-cultural adaptation of the risk assessment instrument TilThermometer for a Swedish version – patient handling in the healthcare sector

Background

Work-related musculoskeletal disorders are common in the healthcare sector due to exposure of physical demanding work tasks. Risk assessment is necessary to prevent injuries and promote a safety culture. The TilThermometer has proved to be useful in the Netherlands for assessing healthcare workers’ physical exposure to patient handling. The aim of this study was to translate the risk assessment instrument TilThermometer from Dutch to Swedish, perform cross-cultural adaptation, and evaluate its linguistic validity to a Swedish healthcare context.

Methods

Translation and validation process was performed according to following eight steps: 1) Translation (two translators), 2) Synthesis, 3) Back-translation (two back-translators), 4) Synthesis, 5) Linguistic review (one bilingual reviewer), 6) fifteen experts in a panel review according to Delphi-method, 7) Semi-structured interviewing eleven informants, analyzed using qualitative content analysis and step 8) discussion and input from creators of the instrument.

Results

A new Swedish version, the TilThermometer, was provided through the translation process (steps 1–5). The linguistic validity and usefulness were confirmed thru step 6 and 7. Consensus was reached in the expert review after two rounds, comments were analyzed and grouped into five groups. The qualitative content analyses of the interviews emerged in to three categories: 1) “User-friendly and understandable instrument”, 2) “Further development”, and 3) “Important part of the systematic work-environment management”.

Conclusion

In this study, the cross-cultural adaption and translation performed of the Swedish version of TilThermometer assured linguistic validity. This is this first phase before further testing the psychometrics aspects, inter-rater reliability and feasibility of TilThermometer. In the second phase TilThermometer will be implemented and evaluated together with other measures in the Swedish healthcare sector.

Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning

Many activities may elicit a biomechanical overload. Among these, lifting loads can cause work-related musculoskeletal disorders. Aspiring to improve risk prevention, the National Institute for Occupational Safety and Health (NIOSH) established a methodology for assessing lifting actions by means of a quantitative method based on intensity, duration, frequency and other geometrical characteristics of lifting. In this paper, we explored the machine learning (ML) feasibility to classify biomechanical risk according to the revised NIOSH lifting equation. Acceleration and angular velocity signals were collected using a wearable sensor during lifting tasks performed by seven subjects and further segmented to extract time-domain features: root mean square, minimum, maximum and standard deviation. The features were fed to several ML algorithms. Interesting results were obtained in terms of evaluation metrics for a binary risk/no-risk classification; specifically, the tree-based algorithms reached accuracies greater than 90% and Area under the Receiver operating curve characteristics curves greater than 0.9. In conclusion, this study indicates the proposed combination of features and algorithms represents a valuable approach to automatically classify work activities in two NIOSH risk groups. These data confirm the potential of this methodology to assess the biomechanical risk to which subjects are exposed during their work activity.

Determining the Efficiency of Ergonomic Belt During Patient Handling and its Effect on Reducing Musculoskeletal Disorders in Nurses

INTRODUCTION

Nursing personnel are always at risk for work-related musculoskeletal disorders, and patient transportation is one of the major risk factor for these disorders.

OBJECTIVE

The aim of this study was to evaluate the ergonomic belt to improve patient transferring conditions.

METHODS

The subjects included 60 health care workers (HCW) of a hospital with patient transfer experience. The ergonomic belt was examined to help move the patient from one bed to another. The prevalence of musculoskeletal disorders was assessed through the Nordic questionnaire, the degree of perceived exertion through the Borg criterion, and the patient's movement through the MAPO index before and after the intervention.

RESULTS

The results showed a significant decrease in Borg scale scores and MAPO index in two factors of education and auxiliary tools and overall scores of this index. We also saw a significant reduction in musculoskeletal disorders in the neck, shoulders and arms, waist, hands and wrists, thighs, knees and legs. There were no significant differences in the elbow and forearm before and after using the ergonomic belt.

CONCLUSION

In general, it can be concluded that the use of ergonomic belt had helped to reduce the risk of musculoskeletal disorders, as well as reducing the perceived exertion of nurses and other relevant personnel.

MAPO Method to Assess the Risk of Patient Manual Handling in Hospital Wards: A Validation Study

OBJECTIVE

To validate the effectiveness of MAPO method (Movement and Assistance of Hospital Patient) after the introduction of some changes to improve assessment objectivity.

BACKGROUND

The number of operators exposed to patient manual handling is increasing considerably. MAPO, proposed in 1999 as a useful tool to estimate the risk of patient manual handling, is a method characterized by analytical quickness. It has recently been improved to better match the 2012 ISO (International Organization for Standardization) technical report.

METHODS

A multicenter study was conducted between 2014 and 2016 involving 26 Italian hospitals in the Apulia Region. MAPO method was used to assess the risk of patient manual handling in 116 wards. A total of 1,998 exposed subjects were evaluated for the presence or absence of acute low back pain in the previous 12 months.

RESULTS

Only 12% of the investigated wards fell in the green exposure level (MAPO index = 0.1-1.5), 37% resulted in the average exposure level (MAPO index = 1.51-5) and the remaining 51% in the higher exposure level (MAPO index >5). The results confirmed a positive association between increasing levels of MAPO index and the number of episodes of acute low back pain (adjusted p trend = .001).

CONCLUSION

The improvements made over the past years led to a more objective assessment procedure. Despite the changes, the study confirmed the effectiveness of MAPO method to predict low back pain.

APPLICATION

MAPO method is an accurate risk assessment tool that identifies and evaluates workplace risks. The proper application of the method significantly improves working conditions.

The Sensor-Based Biomechanical Risk Assessment at the Base of the Need for Revising of Standards for Human Ergonomics

Due to the epochal changes introduced by "Industry 4.0", it is getting harder to apply the varying approaches for biomechanical risk assessment of manual handling tasks used to prevent work-related musculoskeletal disorders (WMDs) considered within the International Standards for ergonomics. In fact, the innovative human-robot collaboration (HRC) systems are widening the number of work motor tasks that cannot be assessed. On the other hand, new sensor-based tools for biomechanical risk assessment could be used for both quantitative "direct instrumental evaluations" and "rating of standard methods", allowing certain improvements over traditional methods. In this light, this Letter aims at detecting the need for revising the standards for human ergonomics and biomechanical risk assessment by analyzing the WMDs prevalence and incidence; additionally, the strengths and weaknesses of traditional methods listed within the International Standards for manual handling activities and the next challenges needed for their revision are considered. As a representative example, the discussion is referred to the lifting of heavy loads where the revision should include the use of sensor-based tools for biomechanical risk assessment during lifting performed with the use of exoskeletons, by more than one person (team lifting) and when the traditional methods cannot be applied. The wearability of sensing and feedback sensors in addition to human augmentation technologies allows for increasing workers' awareness about possible risks and enhance the effectiveness and safety during the execution of in many manual handling activities.

Manual handling of patients: role of kinesiophobia and catastrophizing in health workers with chronic low back pain

BACKGROUND

Biomechanical overload due to patients' manual handling represents a relevant contributor to chronic low back pain (LBP). Fear of movement (also known as kinesiophobia) and catastrophising may influence the development of chronic complaints and lower performances also in working environments, despite these issues are poorly investigated.

AIM

The aim of this study is twofold: 1) to evaluate the levels of kinesiophobia and catastrophizing in a sample of health personnel with chronic LBP and employed in activities specifically requiring patients' manual handling; 2) to appraise the influence of these factors on disability.

DESIGN

Cross-sectional observational study.

SETTING

Four Italian hospitals.

POPULATION

Sixty-four healthcare workers suffering from nonspecific low back pain, exposed to the spinal risk of biomechanical overload due to patients' manual handling.

METHODS

We assessed kinesiophobia, catastrophizing and disability by means of validated questionnaires (the Tampa Scale of Kinesiophobia [TSK], the Pain Catastrophizing Scale [PCS], and the Oswestry Disability Index [ODI], respectively). Values of central tendency and dispersion of the variable of interest were calculated, along with the association among variables through multiple linear regression analysis.

RESULTS

The results showed presence of kinesiophobia (TSK=34.0; IQR=28.2-42.09), catastrophizing (PCS=20.5; IQR=10.2-29.0) and disability (ODI=28.8; IQR=13.5-40.0) in the population enrolled. Disability was significantly predicted by kinesiophobia and catastrophizing (R2=0.529 P=0.00003).

CONCLUSIONS

Kinesiophobia and catastrophizing are present in health workers with chronic LBP involved in patients' manual handling and are linked to disability. Further investigations in this field are recommended to investigate a role for cognitive-behavioral strategies aimed at managing catastrophizing and kinesiophobia to increase working abilities.

CLINICAL REHABILITATION IMPACT

The assessment of catastrophizing and kinesiophobia is crucial in health workers engaged with patients' manual handling and suffering from chronic LBP.

Whole body biomechanical burden of healthcare workers: proposal for a complementary risk assessment and management tool (HOARA)

Introduction:

We have developed a new tool, named Holistic Approach Risk Assessment (HOARA), to support occupational safety and health professionals (OSH) in risk assessment and management when evaluating the biomechanical load of healthcare workers.

Objectives:

The primary aim of the HOARA is to support OSH in risk assessment and management of biomechanical hazards in healthcare facilities. This tool ensures a superior level of analysis by targeting independently various body compartments during all activities completed throughout the work shift. These include: head, neck, back and upper and lower limbs.

Methods:

For each body segment, ergonomic determinants were defined on the basis of previous literature, according to which task and job analyses were performed. Upon direct observation, ergonomic factors were given a score based on their temporal extent. Subsequently, action-body segment raw indices and weighted indices were calculated.

Results:

Results of the application of the method are shown. Of note, a relational database was set up to improve its usability.

Conclusions:

From an occupational health perspective, the HOARA, integrated with other methods, is expected to allow a more effective management of human resources, especially when assigning workers to specific jobs or tasks. Overall, the HOARA will be instrumental in assessing the impact of fitness for work judgments on work organization and its resources, in compliance with the guidelines from the Società Italiana di Medicina del Lavoro (SIML).

Manual Handling in Aged Care: Impact of Environment-related Interventions on Mobility

The manual handling of people (MHP) is known to be associated with high incidence of musculoskeletal disorders for aged care staff. Environment-related MHP interventions, such as appropriate seated heights to aid sit-to-stand transfers, can reduce staff injury while improving the patient's mobility. Promoting patient mobility within the manual handling interaction is an endorsed MHP risk control intervention strategy. This article provides a narrative review of the types of MHP environmental controls that can improve mobility, as well as the extent to which these environmental controls are considered in MHP risk management and assessment tools. Although a range of possible environmental interventions exist, current tools only consider these in a limited manner. Development of an assessment tool that more comprehensively covers environmental strategies in MHP risk management could help reduce staff injury and improve resident mobility through auditing existing practices and guiding the design of new and refurbished aged care facilities.

Validity and reliability of the HEMPA method for patient handling assessment

Specific methods currently exist to assess occupational hazards resulting from patient handling in the healthcare sector, according to ISO/TR 12296. They are all similar in nature, but with a different analysis perspective; for that reason a comparison of the most relevant methods was performed in a previous research. As a result, a basis of a new tool that integrates the complementary aspects of those methods was proposed. To verify the validity and reliability of that method, a study within a hospital setting was carried out in five medical and surgical units of a public health institution. Based on the obtained results, the analysed method (called HEMPA) proved to be valid and reliable. Also, this method reflects a positive correlation between risk and damage and correctly quantifies risks regarding patient's dependence.

Symptoms and musculoskeletal diseases in hospital nurses and in a group of university employees: a cross-sectional study

BACKGROUND

Most studies have shown that nurses have a higher risk of developing musculoskeletal symptoms compared with other occupational groups.

AIM

A cross-sectional study was performed to gain more insight into the prevalence rates of musculoskeletal disorders (MSDs) in nurses.

METHODS

The presence of musculoskeletal symptoms was revealed by personal interviews in a sample of 177 hospital nurses and in a reference group of 185 university employees. Musculoskeletal diseases were based on radiological examinations in all subjects.

RESULTS

Lower back pain (61% vs 42.2%) was the most frequently reported symptom, followed by neck pain (48.6% vs 38.4%) and shoulder pain (36.7% vs 25.9%), with a significantly higher prevalence in nurses. Women had about a 2-fold risk of upper limb region and neck pain compared with men. The most common abnormal findings on radiological examinations were disc herniations (n = 40).

CONCLUSIONS

Nurses showed a significantly higher risk of MSDs. Prevalence rates in nurses increased significantly with age. Musculoskeletal symptoms were also common in university employees. This suggests the need for effective intervention strategies involving workers' active participation, in order to improve the process and organization of work and promote a positive psychosocial work environment.

TROPHI: development of a tool to measure complex, multi-factorial patient handling interventions

Patient handling interventions are complex and multi-factorial. It has been difficult to make comparisons across different strategies due to the lack of a comprehensive outcome measurement method. The Tool for Risk Outstanding in Patient Handling Interventions (TROPHI) was developed to address this gap by measuring outcomes and comparing performance across interventions. Focus groups were held with expert patient handling practitioners (n = 36) in four European countries (Finland, Italy, Portugal and the UK) to identify preferred outcomes to be measured for interventions. A systematic literature review identified 598 outcome measures; these were critically appraised and the most appropriate measurement tool was selected for each outcome. TROPHI was evaluated in the four EU countries (eight sites) and by an expert panel (n = 16) from the European Panel of Patient Handling Ergonomics for usability and practical application. This final stage added external validity to the research by exploring transferability potential and presenting the data and analysis to allow respondent (participant) validation.

PRACTITIONER SUMMARY

Patient handling interventions are complex and multi-factorial and it has been difficult to make comparisons due to the lack of a comprehensive outcome measurement method. The Tool for Risk Outstanding in Patient Handling Interventions (TROPHI) was developed to address this gap by measuring outcomes to compare performance across interventions.

Predictors of severe trunk postures among short-haul truck drivers during non-driving tasks: an exploratory investigation involving video-assessment and driver behavioural self-monitoring

Short-haul truck (lorry) drivers are particularly vulnerable to back pain and injury due to exposure to whole body vibration, prolonged sitting and demanding material handling tasks. The current project reports the results of video-based assessments (711 stops) and driver behavioural self-monitoring (BSM) (385 stops) of injury hazards during non-driving work. Participants (n = 3) worked in a trailer fitted with a camera system during baseline and BSM phases. Descriptive analyses showed that challenging customer environments and non-standard ingress/egress were prevalent. Statistical modelling of video-assessment results showed that each instance of manual material handling increased the predicted mean for severe trunk postures by 7%, while customer use of a forklift, moving standard pallets and moving non-standard pallets decreased predicted means by 12%, 20% and 22% respectively. Video and BSM comparisons showed that drivers were accurate at self-monitoring frequent environmental conditions, but less accurate at monitoring trunk postures and rare work events. The current study identified four predictors of severe trunk postures that can be modified to reduce risk of injury among truck drivers and showed that workers can produce reliable self-assessment data with BSM methods for frequent and easily discriminated events environmental.

A review of low back pain and musculoskeletal disorders among Italian nursing personnel

This review targeted all research previously conducted on the topic of musculoskeletal disorders among Italian nursing personnel, with a particular focus on studies that had examined individual, physical and psychosocial risk factors. Scientific literature published in both English and Italian languages was searched using electronic and manual techniques. A total of 25 appropriate studies were located and examined, most of which had focused on the prevalence of low back pain (LBP) among nurses. From the review, it was shown that LBP prevalence rates have varied widely among different investigations conducted in Italy, ranging from 33% to 86%. Previous studies also suggest that female gender, physical factors and psychosocial factors are important LBP risk factors in this country. Since most of the data currently available describes nurses working in the northern and central regions only, further investigations should now be undertaken in southern Italy, in order to obtain a more complete overview of the problem from a national perspective. Furthermore, a standardized method for measuring these conditions is strongly recommended for future Italian research, to allow better local and international comparison of the data.