Predictive value of Heart Rate Variability measurements and the Brief Resilience Scale for workability and vitality.

BACKGROUND: Sustainable employability is increasingly important with current socio-economic challenges. Screening for resilience could contribute to early detection of either a risk, or a protector for sustainable employability, the latter being operationalized as workability and vitality. OBJECTIVE: To study the predictive value of Heart Rate Variability (HRV) measurements and the Brief Resilience Scale (BRS) for worker self-reported workability and vitality after 2-4 years. METHODS: Prospective observational cohort study with mean follow-up period of 38 months. 1,624 workers (18-65 years old) in moderate and large companies participated. Resilience was measured by HRV (one-minute paced deep breathing protocol) and the BRS at baseline. Workability Index (WAI), and the Vitality dimension of the Utrecht Work Engagement Scale-9 (UWES-9-vitality) were the outcome measures. Backward stepwise multiple regression analysis (p < 0.05) was performed to evaluate the predictive value of resilience for workability and vitality, adjusted for body mass index, age and gender. RESULTS: N = 428 workers met inclusion criteria after follow-up. The contribution of resilience, measured with the BRS, was modest but statistically significant for the prediction of vitality (R2 = 7.3%) and workability (R2 = 9.2%). HRV did not contribute to prediction of workability or vitality. Age was the only significant covariate in the WAI model. CONCLUSION: Self-reported resilience modestly predicted workability and vitality after 2-4 years. Self-reported resilience may provide early insight into the ability of workers to stay at work, although caution must be applied because explained variance was modest. HRV was not predictive.

Therapists' experiences and needs with regard to providing work-focused care: a focus group study.

BACKGROUND: Musculoskeletal disorders (MSDs) can create a temporary or permanent disability that reduce a person's ability to work. Physiotherapists (PTs), occupational therapists (OTs) and exercise therapists (ETs) are often involved in the early management of MSDs. There is a need for additional insights into therapists' experiences, barriers and needs to work-focused care. Moreover, there is no evidence on how OTs and ETs address work participation. Therefore, the aim of this qualitative study was 1) to investigate how generalist PTs, OTs and ETs provide work-focused healthcare and 2) to obtain insight into their perceived barriers and needs that affect their ability to address occupational factors. METHODS: An exploratory qualitative study using three focus groups. Generalist PTs, OTs and ETs were eligible to participate if they treated working patients with MSDs. A semi-structured interview guide with open-ended questions was developed. Two moderators facilitated each focus group using the interview guide, and all the groups were audio recorded. Data were analysed using inductive thematic analysis. RESULTS: Sixteen therapists (mean age 44 years, range 25-59) participated in this study. Participants were aware of the importance of taking occupational factors into account. Whether they address occupational factors is largely dependent on the patient's request for help. However, ETs and OTs consider it normal to ask about occupational factors during the diagnostic process, while PTs often address this in later consultations. Almost all participants were unaware of the existence of PTs, OTs or ETs who are specialised in occupational health. Moreover, almost all participants struggled with when to refer a patient to other (occupational) healthcare professionals. This study identified several needs of therapists. These included knowledge about laws and legislation and skills for identifying and addressing work-related or work-relevant complaints. CONCLUSIONS: Participants in this qualitative study were aware of the importance of taking occupational factors into account. However, how PTs, OTs and ETs address work participation and the extent to which they do so can be improved. There was a lack of knowledge about and cooperation with occupational health professionals, including PTs, OTs or ETs specialised in occupational health.

Influence of respiration frequency on heart rate variability parameters: A randomized cross-sectional study.

BACKGROUND: Many patients visiting physiotherapists for musculoskeletal disorders face psychosocial challenges which may form a large barrier to recover. There are only a limited number of evidence based psychosocial therapies, but they are mainly based on breathing exercises. OBJECTIVE: to study which respiration frequency would lead to the highest relaxation, reflected in vagal tone derived from the heart rate variability (HRV) in healthy subjects. METHODS: A randomized controlled cross sectional study was performed. Respiration cycles of four, five, six, seven and eight breaths per minute (BPM) were delivered in randomized order for two minutes each. HRV metrics were measured during the sessions with electrocardiogram (ECG). Repeated Measures ANOVA's were performed to analyze differences between breathing frequencies. RESULTS: 100 healthy volunteers were included (40 male). Standard Deviation of inter beat intervals (SDNN) values were significantly highest at 5 BPM, whereas the Root Mean Square of Successive Differences (RMSSD) values appeared highest at 7 breaths per minute (p< 0.01). High Frequency (HF) power was lowest at 4 BPM, whereas Low Frequency (LF) power was not significantly influenced by respiration frequency. CONCLUSIONS: Breathing at a frequency of 5 to 7 breaths per minute leads to highest HRV values, but there is no single respiration ratio that maximizes all metrics. Physiotherapists may use five to seven BPM as guidance to determine ideal breathing frequencies.

Changes in kinematics and work physiology during progressive lifting in healthy adults.

PURPOSE: To analyze progression of changes in kinematics and work physiology during progressive lifting in healthy adults. METHODS: Healthy participants were recruited. A standardized lifting test from the WorkWell Functional Capacity Evaluation (FCE) was administered, with five progressive lifting low series of five repetitions. The criteria of the WorkWell observation protocol were studied: changes in muscle use (EMG), heart rate (heart rate monitor), base of support, posture and movement pattern (motion capture system). Repeated measures ANOVA's were used to analyze changes during progressive workloads. RESULTS: 18 healthy young adults participated (8 men, 10 women; mean age 22 years). Mean maximum weight lifted was 66 (±3.2) and 44 (±7.4) kg for men and women, respectively. With progressive loads, statistically significant (p < 0.01) differences were observed: increase in secondary muscle use at moderate lifting, increase of heart rate, increase of base of support and movement pattern changes were observed; differences in posture were not significant. CONCLUSIONS: Changes in 4 out of 5 kinematic and work physiology parameters were objectively quantified using lab technology during progressive lifting in healthy adults. These changes appear in line with existing observation criteria.

The effects of integrating work-related factors and improving cooperation in musculoskeletal physical therapy practice: protocol for the 'WORK TO BE DONE' cluster randomised controlled trial.

BACKGROUND: Musculoskeletal disorders (MSDs) are the primary cause of disability worldwide and a major societal burden. Recent qualitative research found that although a patient's work is considered important, physical therapists take work participation insufficiently into account as a determining factor in the treatment of patients with MSDs. Therefore, the aim of this study is to improve the effectiveness of physical therapy (in primary healthcare) with respect to the work participation of employees with MSDs by increasing the knowledge and skills of generalist physical therapists and by improving the collaboration between generalist physical therapists and physical therapists specialised in occupational health. METHODS/DESIGN: This trial is a two-arm non-blinded cluster randomised controlled trial. Working patients with MSDs visiting a physical therapy practice are the target group. The control group will receive normal physical therapy treatment. The intervention group will receive treatment from a physical therapist with more knowledge about work-related factors and skills in terms of integrating work participation into the patients' care. Data are gathered at baseline (T0), at four months (T1) and eight months (T2) follow-up. Most outcomes will be assessed with validated patient-reported questionnaires. Primary outcomes are the limitations in specific work-related activities and pain during work. Secondary outcomes include limitations in general work-related activities, general pain, quality of life, presenteeism, sick leave (absenteeism), estimated risk for future work disability, work-related psychosocial risk factors, job performance, and work ability. Based on a sample size calculation we need to include 221 patients in each arm (442 in total). During data analysis, each outcome variable will be analysed independently at T1 and at T2 as a dependent variable using the study group as an independent variable. In addition to the quantitative evaluation, a process evaluation will be performed by interviewing physical therapists as well as patients. DISCUSSION: The trial is expected to result in a more effective physical therapy process for working patients with MSDs. This will lead to a substantial reduction of costs: lower costs thanks to a more effective physical therapy process and lower costs due to less or shorter sick leave and decreased presenteeism. TRIAL REGISTRATION: Netherlands Trial Register, registration number: NL8518, date of registration 9 April 2020, URL registration: https://www.trialregister.nl/trial/8518.

Ethical Considerations of Using Machine Learning for Decision Support in Occupational Health: An Example Involving Periodic Workers' Health Assessments.

Purpose Computer algorithms and Machine Learning (ML) will be integrated into clinical decision support within occupational health care. This will change the interaction between health care professionals and their clients, with unknown consequences. The aim of this study was to explore ethical considerations and potential consequences of using ML based decision support tools (DSTs) in the context of occupational health. Methods We conducted an ethical deliberation. This was supported by a narrative literature review of publications about ML and DSTs in occupational health and by an assessment of the potential impact of ML-DSTs according to frameworks from medical ethics and philosophy of technology. We introduce a hypothetical clinical scenario from a workers' health assessment to reflect on biomedical ethical principles: respect for autonomy, beneficence, non-maleficence and justice. Results Respect for autonomy is affected by uncertainty about what future consequences the worker is consenting to as a result of the fluctuating nature of ML-DSTs and validity evidence used to inform the worker. A beneficent advisory process is influenced because the three elements of evidence based practice are affected through use of a ML-DST. The principle of non-maleficence is challenged by the balance between group-level benefits and individual harm, the vulnerability of the worker in the occupational context, and the possibility of function creep. Justice might be empowered when the ML-DST is valid, but profiling and discrimination are potential risks. Conclusions Implications of ethical considerations have been described for the socially responsible design of ML-DSTs. Three recommendations were provided to minimize undesirable adverse effects of the development and implementation of ML-DSTs.

Measurement properties and implications of the Brief Resilience Scale in healthy workers.

OBJECTIVES: The aim of this study was to study measurement properties of the Dutch Language Version of the Brief Resilience Scale (BRS-DLV) in blue and white collar workers employed at multiple companies and to compare the validity and factor structure to other language versions. METHODS: Workers (n = 1023) were assessed during a cross-sectional health surveillance. Construct validity was tested with exploratory and confirmatory factor analyses (EFA and CFA) and hypothesis testing. Reliability was tested with Cronbach's alpha. RESULTS: A two-factor structure of the BRS-DLV had good model fit in both EFA and CFA, which could be explained by difficulties of workers with reversed order items. After excluding these inconsistent answering patterns, a one-factor structure showed good model fit resembling the original BRS (χ2  = 16.5; CFI & TLI = 0.99; SRMR = 0.02;RMSEA = 0.04). Internal consistency is sufficient (Cronbach's α = 0.78). All five hypotheses were confirmed, suggesting construct validity. CONCLUSIONS: Reliability of the BRS-DLV is sufficient and there is evidence of construct validity. Inconsistent answering, however, caused problems in interpretation and factor structure of the BRS-DLV. This can be easily detected and handled because item 2, 4 and 6 are in reversed order. Other language versions differ in factor structure, most likely because systematic errors are not corrected for. To collect valid data, it is advised to be aware of inconsistent answering of respondents.

Prognostic factors for sustained work participation in early osteoarthritis: a follow-up study in the Cohort Hip and Cohort Knee (CHECK).

OBJECTIVE: To identify prognostic factors for the 2-year course of work participation in early osteoarthritis (OA) of hips or knees. METHODS: In this prospective cohort study, questionnaire data from 925 subjects was analyzed. Rate ratios were calculated to compare work participation with the general Dutch population, corrected for age, sex and education. The overall participation rate at T(2) was compared to baseline. Personal factors, self-reported health status (Western Ontario McMasters Arthritis Index-WOMAC), medical consumption and physical work demands were compared between subjects with sustained work participation and subject who stopped working; factors that differed significantly were included in a logistic regression analysis. RESULTS: Work participation in the cohort (mean age 58, 79 % females) decreased from 51 to 46 %, a similar rate to the general population. Subjects who continued working were younger than those who stopped working (mean 4.2 years) and they had less frequently reported sick-leave at baseline; the regression model included both factors. 11 % Of the workers reported sick-leave in the past year because of hip/knee complaints (similar to baseline). 20 % Reported work adaptations, compared to 14 % at baseline. CONCLUSION: The 2-year course of work participation of people with early OA was similar to the general Dutch population. Sustained work participation was predicted by lower age, not by OA related factors.

The effect of osteoarthritis of the hip or knee on work participation.

In our systematic literature search, we included studies involving patients with hip or knee osteoarthritis (OA) and outcome measures of work participation. Methodological quality was assessed using 11 criteria; a qualitative data analysis was performed. Fifty-three full-text articles were selected out of 1861 abstracts; finally, data were extracted from 14 articles. Design, populations, definitions, and measurements in the studies showed large variations; work outcomes were often only secondary objectives. The outcomes were summarized as showing a mild negative effect of OA on work participation. Many patients had paid work and managed to stay at work despite limitations. However, research on the effect of OA on work participation is scarce and the methodological quality is often insufficient. The longitudinal course of work participation in individuals with OA has not been described completely.