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Effectiveness and cost-effectiveness of neuromuscular exercise and back care counseling in female healthcare workers with recurrent non-specific low back pain: a blinded four-arm randomized controlled trial

BMC Public Health volume 18, Article number: 1376 (2018) Cite this article

Abstract

Background

Registered healthcare workers worldwide have a high prevalence of work-related musculoskeletal disorders, particularly of the back. Multidisciplinary interventions among these workers have improved fear avoidance beliefs, but not low back pain (LBP) and related sickness absences, cost-effectiveness studies are scarce. Our purpose was to investigate the effectiveness and cost-effectiveness of three intervention-arms (combined neuromuscular exercise and back care counselling or either alone) compared with non-treatment.

Methods

We randomly assigned female healthcare workers with recurrent non-specific LBP to one of four study-arms: Combined neuromuscular exercise and back care counseling; Exercise; Counseling; and no intervention Control. We assessed the effectiveness of the interventions on intensity of LBP, pain interfering with work and fear avoidance beliefs against the Control, and calculated the incremental cost-effectiveness ratios for sickness absence and QALY.

Results

We conducted three sub-studies in consecutive years of 2011, 2012, and 2013 to reach an adequate sample size. All together 219 women were randomized within each sub-study, of whom 74 and 68% had adequate questionnaire data at 6 and 12 months, respectively. No adverse events occurred. Compliance rates varied between intervention-arms. After 12 months, the Combined-arm showed reduced intensity of LBP (p = 0.006; effect size 0.70, confidence interval 0.23 to 1.17) and pain interfering with work (p = 0.011) compared with the Control-arm. Work-related fear of pain was reduced in both the Combined- (p = 0.003) and Exercise-arm (p = 0.002). Physical activity-related fear was reduced only in the Exercise-arm (p = 0.008). During the study period (0–12 months) mean total costs were lowest in the Combined-arm (€476 vs. €1062–€1992, p < 0.001) as were the mean number of sickness absence days (0.15 vs. 2.29–4.17, p = 0.025). None of the intervention-arms was cost-effective for sickness absence. There was 85% probability of exercise-arm being cost-effective if willing to pay €3550 for QALY gained.

Conclusions

Exercise once a week for 6 months combined with five sessions of back care counseling after working hours in real-life settings effectively reduced the intensity of LBP, work interference due to LBP, and fear of pain, but was not cost-effective.

Trial registration

ClinicalTrials.gov, NCT01465698 November 7, 2011 (prospective).

Peer Review reports

Background

Low back pain (LBP) is among the leading causes worldwide of years lived with disability [1] and has a high economic burden. The annual prevalence of LBP among hospital nurses and nurses’ aids in Europe is between 51 and 57%, and new high-risk groups include home and long-term care nurses and physiotherapists [2]. Many European countries are experiencing a shortage of healthcare workers [3], making it crucial to find ways to reduce the prevalence of long-term LBP and related sickness absence among them.

Physical requirements related to work, such as lifting and transferring patients or working in awkward spine postures [4,5,6], are major contributors to the high incidence of LBP and injury, and the risk of developing chronic LBP [5]. Among work-related psychosocial risk factors [7], night-shift work [5] and perceived lack of support from superiors [5, 7] are associated with an increased risk of LBP [5, 7] and sick leave in nursing personnel [5]. Fear avoidance beliefs (FABs) [8], a concept explaining how psychologic factors affect an individual’s experience of pain, are prognostic for a poor outcome in subacute LBP [9] and predict sickness absence among healthcare workers [9, 10].

LBP is a condition best understood with reference to the interaction of physical, psychologic, and social influences. In general, patients with subacute LBP who receive multidisciplinary biopsychosocial rehabilitation will do better than if they receive usual care, but it is not clear whether they do better than people who receive some other type of treatment [11]. A recent systematic review on efficacy of interventions for LBP in nurses [12] revealed no strong evidence of efficacy for any intervention in preventing or treating LBP in a nurse population. Post-treatment exercise may reduce LBP recurrence, but the content of an effective program has not been established [13]. Cognitive behavioral interventions, in general, yield improvements in pain, disability, and health-related quality of life [14], but reports of key issues and their operationalization is lacking [15]. Evidence for intense physical conditioning reducing sickness absence in those with subacute back pain is conflicting [16]. High cardiorespiratory and muscular fitness were strongly associated with lower total medical costs in participants of the present clinical trial at baseline [17]. On average, combined physical and psychologic treatments seem relatively cost-effective for subacute LBP [18].

The main purpose of this blind four-arm randomized controlled trial was to study the effectiveness of a 6-month intervention of combined neuromuscular exercise and back care counseling or either intervention alone against a non-treatment control-arm for reducing pain and fear of pain in female healthcare workers with recurrent non-specific LBP. The primary hypothesis was that the combination of neuromuscular exercise and back care counseling would more effectively reduce the intensity of LBP than either intervention alone [19]. In addition, we investigated the cost-effectiveness of combined neuromuscular exercise and back counseling-arm and either alone against the non-intervention control-arm in terms of the incremental cost-effectiveness ratio per reduced days of sickness absence and Quality Adjusted Life Year (QALY) gained.

Methods

Study design, settings, and participants

The study-design was a blinded four-arm randomized controlled trial of 6-month interventions with effectiveness and cost-effectiveness evaluations at 12 months. The Ethics Committee of Pirkanmaa Hospital District (ETL code R08157) approved the study protocol (ETL code R08157). The aim of the study, as well as risks and benefits, were clarified in a written information letter to those recruited to the study. Participants were encouraged to continue their usual physical activity and seek any medical or other treatments when needed. All participants provided their written consent to a research secretary at the beginning of the baseline measurements. The study protocol of NURSE-RCT is available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5117067/pdf/bmjsem-2015-000098.pdf [19].

Contrary to our original study plan to conduct a single RCT (ClinicalTrials.gov NCT01465698), we conducted three sub-studies to reach an adequate sample size. The sub-studies started consecutively in 2011, 2012, and 2013 at different locations in Tampere, Finland. Details of enrollment, settings, and time-points for screening, randomization, measurements, and interventions for each consecutive sub-study are shown in Fig. 1 of the trial protocol [19].

Fig. 1
figure 1

CONSORT flow chart for the main outcome measure (i.e., intensity of low back pain in the past month measured with the Visual Analog Scale) including the number of participants lost to follow-up according to compliance in the tree intervention-arms

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The target population was female nursing personnel from wards that required lifting and transferring patients, and direct healthcare workers from settings where the work was otherwise awkward for the lower back [6]. In the present paper, ‘healthcare workers’ refers to participants of the present study who were nurses, nurses’ aides, specialist nurses, assistant physiotherapists, physiotherapists, and midwives. The participants were individuals who voluntarily participated in the study on their own time outside working hours.

Study inclusion and exclusion criteria

The first author (JHS) was responsible for decisions regarding study inclusion or exclusion. The inclusion criteria were [19]: women aged 30–55 years; worked at current job for at least 12 months; intensity of LBP of at least 2 on the Numeric Rating Scale (scale 0–10) during the past 4 weeks [20]. The exclusion criteria were: serious former back injury (fracture, surgery, disc protrusion); chronic LBP defined by a physician or self-report of continuous LBP for 7 months or more [20]; disease or symptoms that limit participation in moderate intensity neuromuscular exercise; regular engagement in neuromuscular-type exercise more than once a week; pregnant or recently delivered. Altogether, 439 women responded to the screening questionnaire, 56% (n = 245) of whom met the inclusion criteria and 11% (n = 26) of whom refused to participate in the baseline measurements. The main back-related reasons for exclusion were intensity of LBP of less than 2 on the Numeric Rating Scale (22%) and having had continuous LBP for more than 7 months (12%) [17].

Randomization and masking

Participants were randomly assigned into one of the four study groups in equal proportions within each of the three consecutive sub-studies [19]: Combined neuromuscular exercise and back care counseling (Combined), Exercise alone (Exercise), Counseling alone (Counseling), and a non-treated group (Control). The statistician (KT) generated the random numbers utilizing the RAND function in Excel (Microsoft, Redmond, WA; ver. 2010). At the first appointment, the research secretary obtained a signed informed consent from all participants, after which she opened an envelope (next in order) to allocate the participant to a study group and provide information for participation. Research nurses conducting the study measurements were blind to the group allocation at the time of data collection, and the statisticians (KT, JR) until completion of the statistical analyses.

Interventions

Educated professionals provided the group exercise and back care counseling sessions near the workplaces of the participating healthcare personnel on weekdays, starting 15 min after the end of a typical day shift [19]. The instructors monitored adverse events related to exercise and adherence to both interventions during the group sessions. Participants in the Combined- and Exercise-arm received instructions to keep a diary of their exercise performed at home.

Researchers AT and JHS were responsible for the aims and training principles of the neuromuscular exercise. AT designed the exercise program and educated the exercise leaders, all of whom had a basic education in physiotherapy, a master’s degree in health sciences, or both. Researchers JHS and MR were responsible for designing the key issues and their realization of the back care counseling sessions. They also guided the counselors, all with a master’s degree in health sciences, to the content and materials of each counseling session at the beginning of each consecutive sub-study.

Neuromuscular exercise

The aim of the progressive neuromuscular exercise program (Supplementary appendix 1 of the study protocol: bmjsem-2015-000098supp_appendix1.pdf) was to enhance spinal stability by improving the movement control of the lumbar region of the back [19]. The training principles included maintenance of a neutral spine posture by co-contraction of the trunk muscles in all exercises [21,22,23,24,25]. Exercises demanding high muscular activity and inducing a low lumbar load [24], such as the side-bridge [23] and four-point kneeling [25], were preferred. In addition, exercises to increase the endurance and strength of the gluteal and lower extremity muscles [26] were included to meet the demands of the strenuous lifting tasks required of nursing [18]. The target dose for exercise was 48 sessions (60 min) twice per week for 24 weeks, and the expected minimum efficient dose was 24 based on a previous study by Suni et al. [27]. During the first 8 weeks, the goal was to participate in instructed exercise sessions twice a week, and during the next 16 weeks, in one instructed session and one home session with the help of a digital videodisc or booklet produced for the study [19].

Back care counseling

Cognitive behavioral learning theory was the framework for the back care counseling [28], and problem-based learning was the method used for implementation [19]. The main issues introduced and discussed in the group counseling sessions were: explaining LBP; how to avoid harmful loading of the lumbar spine in all daily activities; active strategies to cope with LBP; the role of physical activity in LBP, and overall health and well-being (Supplementary appendix 2 of the study protocol: bmjsem-2015-000098supp_appendix2.pdf). Researchers (JHS, MR) designed the specific learning targets, materials, and “take home tasks” for each session. Safe methods of squatting, emphasizing a neutral spine posture for the lower back [19, 27, 29], were practiced for 5 min during counseling sessions 2–10. The target dose for counseling was 10 sessions (45 min) once a week for the first month and then every third week for 24 weeks.

Study measurements

The participants took part in study measurements at baseline, immediately after the interventions at 6 months and after follow-up at 12 months. Research nurses conducted the physiologic measurements at the research institute, and the participants responded to the study questionnaire during the measurement sessions or posted them later to the institute.

Outcomes of effectiveness

The main outcome measure of effectiveness [19] was intensity of LBP as measured with the Visual Analog Scale (VAS, 0–100 mm) [30]. Secondary outcomes were bodily pain interfering with work [31] and FABs related to work and physical activity [8]. Contrary to the original plan of the NURSE-RCT [19], the results of the test battery regarding movement control impairment [32] are not included in the present paper due to the poor reliability of several test items [33] assessed as part of the first sub-study.

Outcomes of cost-effectiveness

We evaluated cost-effectiveness of the three intervention-arms compared with the control-arm in terms of days of sickness absence due to LBP reduced and QALY gained. The QALY were calculated from the SF-6D score [34] derived from the original SF-36 data [31], which is a validated instrument for measuring the physical and mental components of quality of life. Cost assessment included direct healthcare costs (visits to a physician, nurse, physiotherapist, inpatient days, and medication) and days of sickness absence for each 6-month period, retrospectively collected via a questionnaire at baseline [17] and as continuous self-reporting with the same questionnaire during the intervention (0–6 months) and follow-up (6–12 months) periods. We calculated the costs of the delivery of the three intervention-arms: salaries of instructors with administrative costs, material costs, and opportunity cost for home exercise. Additional file 1 provides further information on the SF-6D score [34], assessment of cost-effectiveness and cost calculations, and reports the calculated costs.

Statistical analysis

Sample size calculation

Sample size was calculated [19] based on the intensity of LBP in terms of an absolute change [35] of at least 15 mm in VAS. We expected that there would be a minimal difference of 20% between the intervention groups with improved VAS, and 15% in the control group. Thus, to detect a difference in main effects (i.e., exercisers vs non-exercisers and counseling vs non-counseling) with a significance level of 0.05 and a power of 80%, the study required at least 160 participants (40 in each study-arm). For compensation of probable loss of participants to follow-up, the aim was to recruit 240 participants, see Fig. 1 of the study protocol [19] and the CONSORT flow-chart (Fig. 1) of the present paper.

Analysis of effectiveness

The present paper introduces the results of the primary analyses of effectiveness based on a superiority design of any single intervention-arm compared with the Control-arm. Statistician (KT) performed all analyses according to the intention-to-treat principle. The change in the primary outcome of intensity of LBP in VAS and the other outcomes of effectiveness were analyzed as percentage of change [35] over time at three time-points (baseline, 6 months, and 12 months) using a generalized linear mixed model (GLMM) with gamma or log-normal distributions using SPSS statistics software, version 22 (IBM, Chicago, IL).

Statistician KT first conducted the GLMM analyses without any adjustments (crude analysis). Next, the GLMM analyses were first adjusted [36] as follows: Background variables, including age, civil status, level of education, and smoking. Work-related factors covering shift work, perceived physical exertion at work, perceived work-induced lumbar exertion [37], support from superiors [38], and work stress as effort-reward imbalance [39]. Health-related factors included perceived health, perceived fitness, body mass index, meeting the aerobic part of the physical activity recommendation [40], and fitness in a modified push-up test [41]. Only covariates that improved the model at both follow-up stages in the sense of Bayesian information criteria were included in the final models.

Second, the sub-study was included as a random effect in all the GLLM analysis models to indicate possible heterogeneity between the study sites and study time in the three consecutive sub-studies (see Fig. 1 of the study protocol) [19]. KT calculated the continuity-corrected confidence intervals for proportions with the statistical software R function prob.test [42].

We used Cohen’s d to calculate the effect size for the primary outcome measure. The proportion of participants with an improvement of at least 15 mm in the absolute VAS score [30, 35] at 6 and 12 months in each study group is also reported: the between-group differences at the two time-points (baseline and 6 months; baseline and 12 months) were analyzed using the chi-square test.

Analysis of cost-effectiveness

We evaluated cost-effectiveness ratio for each intervention-arm in comparison with non-treatment control-arm [43]. Cost-effectiveness is expressed as incremental cost-effectiveness ratios (ICERs), calculated as the ratio of the difference in mean total costs (including LBP related healthcare costs, medication, costs of sickness absence, and intervention costs) and mean effects (i.e., change in number of days of sickness absence or QALY) at the level of the study-arms. Regarding the cost-effectiveness analysis for sickness absence, the costs of sickness absence days of regular workers (i.e. study participants) were not included in order avoid double counting. The ICER indicates the amount of money required to decrease a day of sickness absence or gain QALY.

We estimated the uncertainty regarding the ratios in mean total costs and mean effects using bootstrapping with 5000 iterations to generate 95% confidence ellipses for the joint distribution of cost and effectiveness outcomes, and graphically represented them on a cost-effectiveness plane. Cost-effectiveness acceptability curves indicate the probability of any of the alternative interventions being cost-effective. JR conducted the cost-effectiveness analyses using Stata statistics software, version 12.1 (StataCorp LP, College Station, TX).

The costs of implementing the interventions were higher because we conducted three consecutive sub-studies instead of a single study [19]. To evaluate the robustness of the findings, we performed sensitivity analysis assuming a single intervention for all participants. Thus, the intervention costs related to group-sessions would be one-third of the actual costs.

Results

Study participants

All together 219 women were randomized in the three consecutive sub-studies from October 2011 through August 2013 (see Fig. 1 of the study protocol) [19]. Of these 219, 80% (n = 176) participated in study measurements at 6 months (intervention period) and 72% (n = 157) at 12 months (follow-up period). In the present study, an additional 18 persons were lost to follow-up due to missing data on the main outcome measure (intensity of LBP measured with VAS [30]) as described in the CONSORT flow chart (Fig. 1), which also includes loss to follow-up according to compliance within the three intervention-arms. Almost half of the participants who dropped out did not provide a reason for dropping out; the main reasons for those who did were health-related problems, family reasons, too busy or stressed, and having moved elsewhere.

The background characteristics of the participants are available in Table 1. The mean age of the women was 46 years, mean time in their current job was 11 years, and 70% had shift work. Table 2 provides baseline data on the clinical features of LBP and the study outcome measures. The majority (65%) of the participants reported a pain duration [20] of less than 3 months (i.e., subacute), 40% reported at least a moderate LBP intensity level (≥40 mm in the VAS) [30], and 12% experienced daily pain [20]. Almost a third (31%) of the participants reported multisite musculoskeletal pain of at least moderate intensity (≥4 in numeric rating scale 0–10) at three or more body sites [20]. The majority (78%) of the participants reported no days of sickness absence due to LBP (see Table 3) during the preceding 6 months [17]. The health-related quality of life [34] was in the best third of the highest possible score (Table 2), as was their work ability [44] (Table 1).

Table 1 Baseline characteristics of the participants by study groups
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Table 2 Baseline data on clinical features of low back pain (LBP) and the outcome measures of effectiveness by study group
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Table 3 Total costs of low back pain-related direct healthcare costs, intervention costs, days of sickness absence and their costs, and total costs for intervention and total study periods per person in each study group
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Compliance with exercise and counseling interventions

We report the compliance of female healthcare workers in the interventions as proportions with a certain number of sessions completed. Exercise sessions (0, 1–23, and 24–48): Combined-arm 9.4, 43.4, and 47.2%; Exercise-arm 10.5, 31.6, and 57.9%. Counseling sessions (0, 1–4, and 5–10): Combined-arm 13.2, 30.2, and 56.6%; Counseling-arm 25.5, 32.7, and 41.8%. No adverse events occurred.

Effectiveness of interventions

The results of the GLMM analysis are available in Fig. 2. The crude p-values were somewhat lower compared with adjusted values but differed no more than seven hundredths in any analysis except for the outcome of Pain interfering work (see Fig. 2, panel B), and were almost identical for the two outcomes of FABs (see Fig. 2, panels C and D).

Fig. 2
figure 2

Effectiveness of the four study-arms on (a) intensity of low back pain, (b) pain interfering with work, (c) work-related fear avoidance beliefs, and (d) physical activity-related fear avoidance beliefs (mean difference in percentage with 95% confidence interval analysed by general linear mixed models)

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Intensity of LBP (primary outcome)

Intensity of LBP (VAS) decreased significantly (p-value 0.006) only in the Combined-arm compared with the Control. The effect size (confidence interval) for reduced intensity in the Combined-arm was 0.70 (0.23 to 1.17), the corresponding figures being 0.10 (− 0.37 to 0.57) for the Exercise-arm and 0.09 (− 0.35 to 0.53) for the Counseling-arm.

The proportion of participants with a reduction of at least 15 mm in VAS [30, 35] at 6 and 12 months was as follows: Combined 51.4 and 42.9%; Exercise 40.5 and 25.0%; Counseling 37.8 and 38.7%; and Control 28.9 and 31.0%, respectively. None of the intervention-arms differed significantly (chi-square test) from the Control-arm at any time-point.

Other outcomes of effectiveness

Bodily pain interfering with work [31] decreased significantly (p-value 0.011) only in the Combined-arm. FABs related to work [8] decreased significantly in both the Combined- (p-value 0.003) and Exercise-arms (p-value 0.002), and FABs related to physical activity [8] decreased significantly only in Exercise-arm (p-value 0.008) compared with the Control (see Fig. 2).

Costs and cost-effectiveness of interventions

We present the intervention cost, LBP-related use of healthcare services, and days of sickness absence during the intervention (0–6 months) and during the total study period (0–12 months) in Table 3. Costs of sickness absences (p = 0.025) and total costs during the total study period (p < 0.001) were significantly lower only in the Combined-arm compared with the Control. The sickness absence episodes [17] were mostly short (1–10 days) during both the intervention (85%) and total (81%) study periods. The mean total costs for 0–12 months were as follows: Combined €476, Exercise €1992, Counseling €1074, and Control €1062 (see Table 3).

The results of the crude analysis showed that not any of the intervention-arms, when compared with the control-arm, was cost-effective for sickness absence or QALY (see unadjusted results in Additional file 1: Tables S1, S2 and Figure S1). The adjusted results on cost-effectiveness are available in (see Additional file 1: Tables S3 and S4) and Fig. 3. None of the intervention-arms compared with the control-arm was cost-effective for sickness absence after 12-months follow-up (Fig. 3, left panel). There was an 85% probability of the Exercise-arm being cost-effective for QALY at the willingness to pay for €3550 (Fig. 3, right panel). The further sensitivity analyses (i.e. one single study, not three sub-studies) with adjusted variables indicated that none of the intervention arm was cost-effective neither for sickness absence nor for QALY (data not shown).

Fig. 3
figure 3

Cost-effectiveness plane and acceptability curve for days of sickness absence from work due to low-back pain, and for Quality Adjusted Life Year (QALY) during the total study period (0–12 months), adjusted for baseline values. ICER indicates the incremental cost-effectiveness ratio

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Discussion

We assessed the effectiveness and cost-effectiveness of 6-month interventions of combined neuromuscular exercise and back care counseling or either intervention alone compared with no intervention over 12 months in female healthcare workers with recurrent non-specific LBP. In accordance with our hypothesis, the Combined-arm was the only intervention that differed from the non-treatment control-arm regarding pain intensity and interference with work (Fig. 2, panels A and B). Both the Exercise- and Combined-arm were effective for reducing work-related fear of pain, and only the Exercise-arm reduced physical activity-related fear of pain when compared with the control-arm. None of the intervention-arms was cost-effective for sickness absence, the results of Exercise-arm being cost-effective for QALY are uncertain due to the probability of only 85%.

Despite of the fact that none of the intervention-arms was cost-effective in terms of sickness absence, the number of days and costs of sickness absence over the 12 months were significantly lower in the Combined-arm compared with the other intervention-arms (p < 0.025, Table 3). As seen in (Additional file 1: Table S3), 3.2% of bootstrap pairs were in the south-east quadrant indicating that the intervention was more effective and less expensive for sickness absence than Control and 95.1% were in north-east quadrant indicating that intervention was more effective and more expensive compared with Control. According to acceptability curve (Fig. 3) there is 95% probability from our data that each avoided sickness absence day requires an additional cost of €1059, i.e. the Combined-arm was not cost-effective due to higher additional costs of each absent day. In Finland, insurance compensates only sickness absences of at least 11 days, thus it is likely that the reduced number of sickness absence days during the 12 months in the Combined-arm translate into substantial savings for the employers. Accordingly, our method of collecting data using a self-report diary for sickness absence seems relevant [17].

We found no previous cost-effectiveness studies of multidisciplinary interventions among healthcare workers. A former intervention including education and light exercise among female hospital workers [46] reduced utilization of painkillers, medical visits, imaging, and outpatient physiotherapy. The present findings on cost-effectiveness slightly disagree with those of a recent systematic review reporting that combined physical and psychological treatments or interventions for LBP are likely cost-effective [18]. The evidence for the cost-effectiveness of physical exercise programs for LBP is inconsistent [18].

A previous study on LBP, FABs, and sickness absence in healthcare personnel [46] reported that although FABs reduced (i.e. improved), there was no effect on LBP recurrence. Another multifaceted (physical training, cognitive behavioral training, and ergonomics) cluster-randomized controlled trial with 594 nurses’ aides [47] also reported reduced FABs, but no effects on sickness absence due to LBP. A recent systematic review on the efficacy of interventions for LBP in nurses [11] demonstrated no strong evidence for the efficacy of any intervention in preventing or treating LBP in populations of nursing personnel. Thus, our findings are more positive for the intensity and interference of LBP compared with these previous studies and the review.

The rationale behind the proposed neuromuscular exercise and back care counseling programs [19] relies on the experiences and findings of two previous studies with male subjects [27, 29]. The common feature of the three studies is that the majority of participants were engaged in physical work that was strenuous for the lower back. In addition, improved movement control of the lumbar spine and awareness of harmful loading for the back “24 h/7d” was an important target. In the present study, we emphasized the movement control of the lumbar back in all neuromuscular exercises during the instructed sessions. During counseling sessions 2–10, the women rehearsed lumbar movement control in terms of the different squat patterns needed in daily life [19].

While LBP reduced only in the Combined-arm, it is possible that the women in this group were the only ones who learned the movement patterns that helped to avoid re-injury. This theoretically relates to the hypothesis that chronic back pain originates from sub-failure injuries of spinal ligamentous and fascial structures leading to muscle fatigue, further injuries, and inflammation [48]. Back pain is a complex multifactorial problem, and therefore a single hypothesis cannot explain all the biopsychosocial factors included in the present study.

Limitations of the study include the lower than expected compliance rate in all intervention groups. The majority of women had shift work, which is likely a challenge that negatively influenced the compliance rates. The dropout rate of slightly over 30% at 12 months is another limitation of the study, but we ended up with an adequate number of participants needed according to our power calculations [19] to ensure adequate statistical power. Of the studies reviewed, the one with the lowest dropout rate of around 12% [46] allowed the nurses to take part in the interventions during working hours, which was not a possibility in the present study. High baseline status may explain the lack of clear cost-effectiveness in improving QALY; a longer follow-up might also be necessary to see changes in outcomes such as QALY.

Study strengths include the four-arm study design, fair adjustment of background, work-related and health-related factors with relevance to our study-group and outcome measures [49], and the success of the Combined-arm in decreasing LBP intensity and interference. On average, neuromuscular exercise no more than once a week during 6 months combined with five sessions of back care counseling was the dose leading to important clinical improvements. We suggest that this dose would be a feasible worksite intervention during working hours, with likely improvements in participation and compliance.

Our decision to recruit women with subacute or recurrent LBP, the majority of whom reported no daily pain (Table 2), offered a real opportunity for the prevention of chronic LBP and sickness absence due to LBP, and thus a future possibility of reducing the socioeconomic burden of LBP in healthcare workers. However, it was extremely difficult to recruit participants that met the inclusion criteria in terms of “non-chronic.” Therefore, we conducted three sub-studies but still the total number of participants at baseline was only 219 compared with the targeted 240, and this is a limitation of the study. Recent studies indicate that structural changes in lumbar muscles in non-specific LBP and FABs differ between patients with recurrent and continuous chronic pain [9, 50]. Thus, our compliance to the pre-determined inclusion and exclusion criteria is another strength of this study.

Conclusions

The findings of the present study on cost-effectiveness were negative for sickness absence and uncertain for QALY. Contrary to that, the results on effectiveness are encouraging when compared with the rather negative findings of a recently published systematic review and the most recent randomized trials on effectiveness of multidisciplinary interventions aimed at reducing LBP pain among nursing personnel. Neuromuscular exercise no more often than once a week for 24 weeks combined with five sessions of back care counseling is a feasible and effective program for reducing LBP in female healthcare workers. These workers are at high risk for chronic LBP and increased sickness absence due to their physically strenuous work for the lower back.

Abbreviations

FABs:

Fear avoidance beliefs

GLMM:

Generalized linear mixed model

ICERs:

Incremental cost-effectiveness ratios

LBP:

Low back pain

QALY:

Quality Adjusted Life Years

VAS:

Visual Analog Scale

References

  1. Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the global burden of disease study 2013. Lancet. 2015;386:743–800. https://doi.org/10.1016/S0140-6736(15)60692-4.

    Article  PubMed Central  Google Scholar 

  2. Davis KG, Kotowski SE. Prevalence of musculoskeletal disorders for nurses in hospitals, long-term care facilities, and home health care: a comprehensive review. Hum Factors. 2015;57:754–−92. https://doi.org/10.1177/0018720815581933.

    Article  PubMed  Google Scholar 

  3. Simoens S, Villeneuve M, Hurst J. Tackling Nurse Shortages in OECD Countries: OECD Health Working Papers, No.19:OECD Publishing; 2005. https://doi.org/10.1787/172102620474. (Accessed 3.5.2018

  4. Yassi A, Lockhart K. Work-relatedness of low back pain in nursing personnel: a systematic review. Int J Occup Environ Health. 2013;19:223–44. https://doi.org/10.1179/2049396713Y.0000000027.

    Article  PubMed  Google Scholar 

  5. Eriksen W, Bruusgaard D, Knardahl S. Work factors as predictors of intense or disabling low back pain; a prospective study of nurses’ aides. Occup Environ Med. 2004;61:398–404.

    CAS  Article  Google Scholar 

  6. Jang R, Karwowski W, Quesada PM, Rodrick D, Sherehiy B, Cronin SN, et al. Biomechanical evaluation of nursing tasks in a hospital setting. Ergonomics. 2007;50:1835–55.

    CAS  Article  Google Scholar 

  7. Bernal D, Campos-Serna J, Tobias A, Vargas-Prada S, Benavides FG, Serra C. Work-related psychosocial risk factors and musculoskeletal disorders in hospital nurses and nursing aides: a systematic review and meta-analysis. Int J Nurs Stud. 2015;52:635–−48. https://doi.org/10.1016/j.ijnurstu.2014.11.003.

    Article  PubMed  Google Scholar 

  8. Waddell G, Newton M, Henderson I, Somerville D, Main CJ. A fear-avoidance beliefs questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain. 1993;52:157–68.

    CAS  Article  Google Scholar 

  9. Wertli MM, Rasmussen-Barr E, Weiser S, Bachmann LM, Brunner F. The role of fear-avoidance beliefs as a prognostic factor for outcome in patients with nonspecific low back pain: a systematic review. Spine J. 2014;14:816–36.e4. https://doi.org/10.1016/j.spinee.2013.09.036.

    Article  PubMed  Google Scholar 

  10. Jensen JN, Karpatschof B, Labriola M, Albertsen K. Do fear-avoidance beliefs play a role on the association between low back pain and sickness absence? A prospective cohort study among female health care workers. J Occup Environ Med. 2010;52:85–90. https://doi.org/10.1097/JOM.0b013e3181c95b9e.

    Article  PubMed  Google Scholar 

  11. Van Hoof W, O'Sullivan K, O'Keeffe M, Verschueren S, O'Sullivan P, Dankaerts W. The efficacy of interventions for low back pain in nurses: a systematic review. Int J Nurs Stud. 2018;77:222–−31. https://doi.org/10.1016/j.ijnurstu.2017.10.015.

    Article  PubMed  Google Scholar 

  12. Marin TJ, Van Eerd D, Irvin E, Couban R, Koes BW, Malmivaara A, et al. Multidisciplinary biopsychosocial rehabilitation for subacute low back pain. Cochrane Database Syst Rev. 2017;6:CD002193. https://doi.org/10.1002/14651858.CD002193.pub2.

    Article  PubMed  Google Scholar 

  13. Choi BK, Verbeek JH, Tam WW, Jiang JY. Exercises for prevention of recurrences of low-back pain. Cochrane Database Syst Rev. 2010;20:CD006555. https://doi.org/10.1002/14651858.CD006555.pub2.

    Article  Google Scholar 

  14. Richmond H, Hall AM, Copsey B, Hansen Z, Williamson E, Hoxey-Thomas N, et al. The effectiveness of cognitive behavioural treatment for non-specific low back pain: a systematic review and meta-analysis. PLoS One. 2015;10:e0134192. https://doi.org/10.1371/journal.pone.0134192.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. Hall A, Richmond H, Copsey B, Hansen Z, Williamson E, Jones G, et al. Physiotherapist-delivered cognitive-behavioural interventions are effective for low back pain, but can they be replicated in clinical practice? A systematic review. Disabil Rehabil. 2018;40:1–−9. https://doi.org/10.1080/09638288.2016.1236155.

    Article  PubMed  Google Scholar 

  16. Schaafsma FG, Whelan K, van der Beek AJ, van der Es-Lambeek LC, Ojajarvi A, Verbeek JH. Physical conditioning as part of a return to work strategy to reduce sickness absence for workers with back pain. Cochrane Database Syst Rev. 2013;8:CD001822. https://doi.org/10.1002/14651858.CD001822.pub3.

    Article  Google Scholar 

  17. Kolu P, Tokola K, Kankaanpaa M, Suni J. Evaluation of the effects of physical activity, cardiorespiratory condition, and neuromuscular fitness on direct health-care costs and sickness-related absence among nursing personnel with recurrent nonspecific low back pain. Spine (Phila Pa 1976). 2017;42:854–−62. https://doi.org/10.1097/BRS.0000000000001922.

    Article  Google Scholar 

  18. Andronis L, Kinghorn P, Qiao S, Whitehurst DG, Durrell S, McLeod H. Cost-effectiveness of non-invasive and non-pharmacological interventions for low back pain: a systematic literature review. Appl Health Econ Health Policy. 2017;5:173–201. https://doi.org/10.1007/s40258-016-0268-8.

    Article  Google Scholar 

  19. Suni JH, Rinne M, Kankaanpää M, Taulaniemi A, Lusa S, Lindholm H, Parkkari J. Neuromuscular exercise and back counseling for female nursing personnel with recurrent non-specific low back pain: study protocol of a randomised controlled trial (NURSE-RCT). BMJ Open Sport Exerc Med. 2016;2:e000098. https://doi.org/10.1136/bmjsem-2015-000098.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Dionne CE, Dunn KM, Croft PR, Nachemson AL, Buchbinder R, Walker BF, et al. A consensus approach toward the standardization of back pain definitions for use in prevalence studies. Spine (Phila Pa 1976). 2008;33:95–−103. https://doi.org/10.1097/BRS.0b013e31815e7f94.

    Article  Google Scholar 

  21. McGill S, Juker D, Kropf P. Quantitative intramuscular myoelectric activity of quadratus lumborum during a wide variety of tasks. Clin Biomech (Bristol, Avon). 1996;11:170–2.

    CAS  Article  Google Scholar 

  22. Cholewicki J, Panjabi MM, Khachatryan A. Stabilizing function of trunk flexor-extensor muscles around a neutral spine posture. Spine. 1997;22:2207–12.

    CAS  Article  Google Scholar 

  23. Juker D, McGill S, Kropf P, Steffen T. Quantitative intramuscular myoelectric activity of lumbar portions of psoas and the abdominal wall during a wide variety of tasks. Med Sci Sports Exerc. 1998;30:301–10.

    CAS  Article  Google Scholar 

  24. Kavcic N, Grenier S, McGill SM. Quantifying tissue loads and spine stability while performing commonly prescribed low back stabilization exercises. Spine. 2004;29:2319–29.

    Article  Google Scholar 

  25. Stevens VK, Vleeming A, Bouche KG, Mahieu NN, Vanderstraeten GG, Danneels LA. Electromyographic activity of trunk and hip muscles during stabilization exercises in four-point kneeling in healthy volunteers. Eur Spine J. 2007;16:711–−8. https://doi.org/10.1007/s00586-006-0181-1.

    Article  PubMed  Google Scholar 

  26. Distefano LJ, Blackburn JT, Marshall SW, Padua DA. Gluteal muscle activation during common therapeutic exercises. J Orthop Sports Phys Ther. 2009;39:532–−40. https://doi.org/10.2519/jospt.2009.2796.

    Article  PubMed  Google Scholar 

  27. Suni J, Rinne M, Natri A, Statistisian MP, Parkkari J, Alaranta H. Control of the lumbar neutral zone decreases low back pain and improves self-evaluated work ability: a 12-month randomized controlled study. Spine (Phila Pa 1976). 2006;31:E611–−20. https://doi.org/10.1097/01.brs.0000231701.76452.05.

    Article  Google Scholar 

  28. Linton SJ, Shaw WS. Impact of psychological factors in the experience of pain. Phys Ther. 2011;91:700–−11. https://doi.org/10.2522/ptj.20100330.

    Article  PubMed  Google Scholar 

  29. Suni JH, Taanila H, Mattila VM, Ohrankämmen O, Vuorinen P, Pihlajamäki H, et al. Neuromuscular exercise and counseling decrease absenteeism due to low back pain in young conscripts: a randomized, population-based primary prevention study. Spine (Phila Pa 1976). 2013;38:375–−84. https://doi.org/10.1097/BRS.0b013e318270a12d.

    Article  Google Scholar 

  30. Ostelo RW, Deyo RA, Stratford P, Waddell G, Croft P, Von Korff M, et al. Interpreting change scores for pain and functional status in low back pain: towards international consensus regarding minimal important change. Spine (Phila Pa 1976). 2008;331:90–−4.

    Article  Google Scholar 

  31. Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30:473–83.

    Article  Google Scholar 

  32. Luomajoki H, Kool J, de Bruin ED, Airaksinen O. Movement control tests of the low back; evaluation of the difference between patients with low back pain and healthy controls. BMC Musculoskelet Disord. 2008;9:170. https://doi.org/10.1186/1471-2474-9-170.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Taulaniemi RAP, Kankaanpää MJ, Tokola KJ, Luomajoki HA, Suni JH. Reliability of musculoskeletal fitness tests and movement control impairment test battery in female health-care personnel with recurrent low back pain. J Nov Physiother. 2016;6:1 https://www.omicsonline.org/open-access/reliability-of-musculoskeletal-fitness-tests-and-movement-control-impairment-test-battery-in-female-healthcare-personnel-with-recu-2165-7025-1000282.pdf (Accessed 12.4.2018).

    Google Scholar 

  34. Brazier J, Roberts J, Deverill M. The estimation of a preference-based measure of health from the SF-36. J Health Econ. 2002;21:271–92.

    Article  Google Scholar 

  35. Fishbain DA, Gao J, Lewis JE, Zhang L. At completion of a multidisciplinary treatment program, are psychophysical variables associated with a VAS improvement of 30% or more, a minimal clinically important difference, or an absolute VAS score improvement of 1.5 cm or more? Pain Med. 2016;17:781–9. https://doi.org/10.1093/pm/pnv006.

    Article  PubMed  Google Scholar 

  36. Lee PH. Covariate adjustments in randomized controlled trials increased study power and reduced biasedness of effect size estimation. J Clin Epidemiol. 2016;76:137–−46. https://doi.org/10.1016/j.jclinepi.2016.02.004.

    Article  PubMed  Google Scholar 

  37. Ketola R, Häkkänen M, Luukkonen R, Takala E-P, Viikari-Juntura E. Effects of ergonomic intervention in work with video display units. Scand J Work Environ Health. 2002;28:18–24.

    Article  Google Scholar 

  38. Haukka E, Pehkonen I, Leino-Arjas P, Viikari-Juntura E, Takala EP, Malmivaara A, et al. Effect of a participatory ergonomics intervention on psychosocial factors at work in a randomised controlled trial. Occup Environ Med. 2010;67:170–−7. https://doi.org/10.1136/oem.2008.043786.

    Article  PubMed  Google Scholar 

  39. Siegrist J. Adverse health effects of high-effort/low-reward conditions. J Occup Health Psychol. 1996;1:27–41.

    CAS  Article  Google Scholar 

  40. United States Department of Health and Human Services. Physical activity guidelines for Americans. Washington, DC: United States Department of Health and Human Services; 2008. http://health.gov/paguidelines/pdf/paguide.pdf (Accessed 16.4. 2018)

    Google Scholar 

  41. Suni JH, Oja P, Laukkanen RT, Miilunpalo SI, Pasanen ME, Vuori IM, et al. Health-related fitness test battery for adults: aspects of reliability. Arch Phys Med Rehabil. 1996;77:399–405.

    CAS  Article  Google Scholar 

  42. R Core Team (2016). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: https://www.r-project.org (Accessed 16.4.2018).

  43. Cobiac LJ, Vos T, Barendregt JJ. Cost-effectiveness of interventions to promote physical activity: a modelling study. PLoS Med. 2009;6(7):e1000110. https://doi.org/10.1371/journal.pmed.1000110.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Smolander J, Blair SN, Kohl HW 3rd. Work ability, physical activity, and cardiorespiratory fitness: 2 year results from project active. J Occup Environ Med. 2000;42:906–10.

    CAS  Article  Google Scholar 

  45. Vähä-Ypyä H, Vasankari T, Husu P, Mänttäri A, Vuorimaa T, Suni J, et al. Validation of cut-points for evaluating the intensity of physical activity with accelerometry-based mean amplitude deviation (MAD). PLoS One. 2015;10:e0134813. https://doi.org/10.1371/journal.pone.0134813.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  46. Chaléat-Valayer E, Denis A, Abelin-Genevois K, Zelmar A, Siani-Trebern F, Touzet S, et al. Long-term effectiveness of an educational and physical intervention for preventing low-back pain recurrence: a randomized controlled trial. Scand J Work Environ Health. 2016;42:510–−19. https://doi.org/10.5271/sjweh.3597.

    Article  PubMed  Google Scholar 

  47. Rasmussen CD, Holtermann A, Jørgensen MB, Ørberg A, Mortensen OS, Søgaard K. A multi-faceted workplace intervention targeting low back pain was effective for physical work demands and maladaptive pain behaviours, but not for work ability and sickness absence: stepped wedge cluster randomised trial. Scand J Public Health. 2016;44:560–70. https://doi.org/10.1177/1403494816653668.

    Article  PubMed  Google Scholar 

  48. Schleip R, Vleeming A, Lehmann-Horn F, Klingler W. Letter to the editor concerning “a hypothesis of chronic back pain: ligament subfailure injuries lead to muscle control dysfunction” (M. Panjabi). Eur Spine J. 2007;16:1733–−5. https://doi.org/10.1007/s00586-006-0298-2.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Taulaniemi A, Kuusinen L, Tokola K, Kankaanpää M, Suni JH. Bio-psychosocial factors are associated with pain intensity, physical functioning, and ability to work in female healthcare personnel with recurrent low back pain. J Rehabil Med. 2017;49:667–76. https://doi.org/10.2340/16501977-2261.

    Article  PubMed  Google Scholar 

  50. Goubert D, Oosterwijck JV, Meeus M, Danneels L. Structural changes of lumbar muscles in non-specific low Back pain: a systematic review. Pain Physician. 2016;19:E985–E1000.

    PubMed  Google Scholar 

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Acknowledgements

The authors thank the participants of the NURSE-study at the following clinics in the city of Tampere, Finland: Rauhaniemi Hospital unit and Koukkuniemi Home for the Elderly, Kauppi Hospital, Hatanpää Hospital (surgery, infectious, medical and general practice wards) and Park Hospital (geriatrics); Home Services; Physiotherapy Clinic and Tampere University Hospital (12 clinics with 40 wards). We also thank Iida Siro (M.Sc., physiotherapist) for her excellent work in providing the participant materials.

Funding

The study was funded by The Social Insurance Institution of Finland (37/26/2011 and 31/26/2015; Pirkanmaa Hospital District, Tampere, Finland (9 K127 and 9 M099). The funders had no role in the study design, collection, analysis or interpretation of the data, writing of the report, or decision to submit the article for publication.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.

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Affiliations

  1. UKK Institute for Health Promotion Research, Kaupinpuistonkatu 1, 33500, Tampere, Finland

    Jaana Helena Suni, Päivi Kolu, Kari Tokola, Jani Raitanen, Marjo Rinne, Annika Taulaniemi & Jari Parkkari

  2. Faculty of Social Sciences (Health Sciences), University of Tampere, Kalevantie 4, 33100, Tampere, Finland

    Jani Raitanen

  3. Pirkanmaa Hospital District, Physical and Rehabilitation Medicine Outpatient Clinic, Teiskontie 35, 33520, Tampere, Finland

    Markku Kankaanpää

Authors
  1. Jaana Helena Suni
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  2. Päivi Kolu
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  8. Markku Kankaanpää
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Contributions

All authors read, commented and accepted the final version of the manuscript. JHS: literature search, study design, contents of the interventions, data interpretation, writing, tables, figures; PK: data interpretation, writing, tables (costs); KT: data analysis and interpretation, writing, figures (effectiveness); JR: data analysis and interpretation, writing, figures (cost-effectiveness); MR: study design, intervention contents (back counseling); AT: study design, intervention contents (neuromuscular exercise); JP: study design, data interpretation; MK: study design, data interpretation.

Corresponding author

Correspondence to Jaana Helena Suni.

Ethics declarations

Ethics approval and consent to participate

The Ethics Committee of Pirkanmaa Hospital District (ETL code R08157) approved the study protocol. The participants recruited to the study received a written information letter clarifying the aims of the study, including risks and benefits. The participants provided their written consent to participate at the first study appointment. We also obtained consent for data sharing and the risk of identification is low.

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Not applicable.

Competing interests

The authors declare that they have no competing interest.

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Additional file

Additional file 1:

Methods Assessment of cost-effectiveness: outcomes measures and cost calculations; Results The calculated costs, Tables S1–S4. and Figure S1. presenting unadjusted cost-effectiveness plane and acceptability curves for sickness absence from work and for QALY. (DOCX 1439 kb)

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Suni, J.H., Kolu, P., Tokola, K. et al. Effectiveness and cost-effectiveness of neuromuscular exercise and back care counseling in female healthcare workers with recurrent non-specific low back pain: a blinded four-arm randomized controlled trial. BMC Public Health 18, 1376 (2018). https://doi.org/10.1186/s12889-018-6293-9

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Keywords

  • Secondary prevention
  • Early intervention
  • Exercise therapy
  • Health education
  • Costs and cost analysis

BMC Public Health

ISSN: 1471-2458

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