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ORIGINAL ARTICLES |
1 Evalua International, Vantaa, Finland
2 Finnish Office for Health Technology Assessment, FinOHTA/Stakes, Helsinki, Finland
3 University of Oulu, Department of Mathematical Sciences, Oulu, Finland
4 University of Helsinki, Department of Public Health, and FinOHTA, Helsinki, Finland
5 Mutual Pension Insurance Company Ilmarinen, Helsinki, Finland
Correspondence to:
Dr S Taimela, Evalua International, PO Box 35, FIN-01531 Vantaa, Finland; simo.taimela{at}evalua.fi
Accepted 16 July 2007
| ABSTRACT |
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Methods: Based on a health survey, 1341 employees (88% males) in construction, service and maintenance work were classified into three groups: "low risk" (n = 386), "intermediate risk" (n = 537) and "high risk" (n = 418) of sickness absence. Two separate randomised trials were performed in the groups "high risk" and "intermediate risk", respectively. Those high risk subjects that were allocated to the intervention group (n = 209) were invited to occupational health service for a consultation. The intervention included, if appropriate, a referral to specialist treatment. Among the intermediate risk employees those in the intervention group (n = 268) were invited to call a phone advice centre. In both trials the control group received usual occupational health care. The primary outcome was sickness absence during a 12-month follow-up (register data).
Results: The high risk group, representing 31% of the cohort, accounted for 62% of sickness absence days. In the trial for the high risk group the mean sickness absence was 30 days in the usual care group and 19 days in the intervention group; the mean difference was 11 days (95% CI 1 to 20 days). In the trial for the intermediate risk group the mean sickness absence was 7 days in both arms (95% CI of the mean difference –2.3 to 2.4 days).
Conclusions: The identification of high risk of work disability was successful. The occupational health intervention was effective in controlling work loss to a degree that is likely to be economically advantageous within the high risk group. The phone advice intervention for the intermediate risk group was not effective in controlling work loss primarily due to poor adherence.
Some randomised controlled trials (RCTs) have been performed in occupational settings in order to intervene specific diseases (musculoskeletal disorders or depression), or to advocate exercise.8–14 Only a few studies have aimed at identifying employees at high risk of work disability7 15 or at reducing sickness absence within a high risk subgroup.16 17
Telephone health counselling has been marketed as a low-cost intervention, but its efficacy in the occupational healthcare setting has not been tested in a randomised trial.
In this study we evaluated the effectiveness of two interventions for employees at high or intermediate risk of sickness absence, respectively. Subjects in the intervention for high risk were invited to a consultation at the occupational health services. Subjects in the intervention for intermediate risk were invited to call a telephone health advice centre.
| METHODS |
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Randomisation
After collecting all responses and processing the risk group classification, a research assistant randomised each subject in the HR and IR groups into one of the two subgroups, intervention and control ("high risk": HR-IG and HR-CG; "intermediate risk": IR-IG and IR-CG). First, to ensure a balanced distribution of subjects by age, scripted four-digit identification codes (ID) were sorted by age within both RCTs and then all other items but the ID codes were removed from the list of subjects. An IT expert did this first step. After that the research assistant performed the randomisation in blocks of 10. A biostatistician had prepared the order from a random number table. The research assistant and researchers were not aware of which of the codes belonged to the intervention group and which to the control group in either trial. Neither were they able to identify the individuals based on the IDs, and could not therefore predict the group assignments. The coding was opened only after the primary analysis of the follow-up data was completed.
Intervention versus care as usual
RCT 1: High risk group
The employees own occupational nurses and physicians carried out the intervention for subjects at HR. Forty eight occupational health centres were involved in the study.
The employees in the HR-IG received a letter with personal feedback of their questionnaire results and invitation to a consultation at the occupational health services (OHS). At most, two reminders were sent. The main purpose of the consultation was the construction of an action plan, and if appropriate, referral to a further consultation by a specialist, or psychologist. The occupational nurse first started the consultation, the planned duration of which was 90 minutes, and an occupational physician joined the meeting later if needed. The individual findings of the questionnaire were available for the OHS professionals during the consultation. Key treatment processes were defined in advance and the policies and practices at the occupational health centres were not altered as a result of the study.
To find out what actions were taken within the intervention, an occupational nurse wrote a personal file for each employee in the HR-IG at the end of the follow-up. The personal files included information about the employee attending to the consultation, the referrals to further evaluation or interventions, the health advice received at the OHS, the considerations of OHS professionals that no further actions were needed, and the refusals of some employees to take further action. Additionally, the nurses reported if the employee had already received treatment at the OHS for the health issues that were the reason for the invitation of consultation.
The employees in the HR-CG received care as usual. They could consult their occupational nurse or physician on request, but they were not invited for a consultation and did not receive feedback of their results.
RCT 2: Intermediate risk group
The intervention for workers at IR consisted of an access to medical counselling over the telephone from one phone advice centre. The employees in the IR-IG received a letter with personal feedback of their results and invitation to call the phone advice centre in order to receive respective medical advice. Two reminders were sent. The switchboard was always open, and the cost for the telephone call was the same as for a local call. All telephones were manned by trained nurses with several years of experience and specific training for their job. During the counselling the individual findings of the questionnaire were available for the nurses who also had access to relevant health databases while providing the health advice. The employees in the IR-CG received care as usual.
Measurements
Questionnaire data
The baseline questionnaire included items on the following: lifestyle, anthropometrics, sleep disturbances, work-related stress and fatigue, depression, pain, disability due to musculoskeletal problems, and a prediction of future working ability. The responses were interpreted on the basis of a priori defined cut-off limits (table 1).
Sickness absence from work
Sickness absence data were obtained, without medical diagnoses, from the employers records. The baseline covered the period from 1 October 2003 to 30 September 2004 and the follow-up covered the period from 1 October 2004 to 30 September 2005. Data privacy was strictly followed. Records were checked for inconsistencies. Maternity/paternity leave and absence from work to care for a sick child are not included in the sickness absences.
Sample size calculations
RCT 1: High risk group
The target sample size of 420 employees was based on the assumptions that 360 of them can be followed-up for one year, and that there will be a 15% difference between the groups in sickness absence with the mean baseline sickness absence estimated to be 20 (SD 9) days/year. Assuming a normal distribution for the outcome variable this gave an alpha of 0.05 with 80% power.
RCT 2: Intermediate risk group
The original target sample size of 840 employees was based on the assumptions that 686 of them can be followed-up for one year, and that there will be an 11% difference between the groups in sickness absence with the mean baseline sickness absence estimated to be 11 (SD 5) days/year. This gave an alpha of 0.05 with 80% power. However, at the time of randomisation, there were only 537 subjects eligible for the IR group. We reviewed the power calculation: our sample size was sufficient to detect a 14% difference.
Statistical methods
We carried out an intention-to-treat analysis. The effectiveness of the interventions was estimated by the difference of mean number of sickness absence days between the randomised groups, and the confidence interval was computed based on t distribution.26 We used Statistica data analysis software, version 6 (StatSoft, Inc, Tulsa, OK, USA; 2001).
| RESULTS |
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Adherence
Of the subjects in the HR-IG in the RCT 1 (n = 209), 142 (68%) attended the consultation at OHS (fig 2). Fifty did not attend for unknown reasons. The employment had terminated with 17 subjects during the follow-up. Of the attendees, five refused further examinations or interventions, and the OHS professionals had considered that eight subjects did not warrant further actions. 129 subjects ended up in the interventions: health advice (n = 106), referral to consultation or hospital outpatient clinic (n = 64), or a group intervention at the OHS (n = 6), in different combinations. Of the 142 subjects who visited OHS, 72 (51%) had not received earlier treatment at OHS for the respective reasons for belonging to the high risk group.
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Adverse events
No adverse events were reported during the interventions.
| DISCUSSION |
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Strengths and weaknesses of the study
The main strength of this study lies in the pragmatic approach in the randomised controlled trial for employees at high risk. All permanent employees in the target cohort were offered the opportunity to participate. Although the response rate was somewhat low, it was in line with other studies in occupational populations in European countries.27 The employees own occupational nurses and physicians carried out the occupational health intervention. Adherence within the HR-IG was reasonably high, and the intervention succeeded in capturing many workers with underlying health problems that had not been properly attended to. Of the subjects who visited OHS, more than half had not received treatment at OHS before. New ways of treatment were not introduced and the intervention relied on existing practices.
As there was no initial randomisation to getting a screening questionnaire or not, our study cannot genuinely answer the overall question of whether the screening programme as a whole was effective. Our research question was formulated to study whether the interventions for the "high risk" and "intermediate risk" groups were effective. However, it is possible to estimate whether the savings due to the reduction of sickness absence in the "high risk" group exceed the investment in the whole screening process, but we leave the calculation to be done by the reader with the readers own cost parameters.
Control arm contamination—that is, subjects randomised to usual care receiving the same treatment as the intervention subjects—is a common source of bias in randomised trials. In the present trial randomisation within the high risk and intermediate risk groups was performed individually, instead of clusters. Theoretically, control arm contamination within workplaces is a potential weakness in both trials in such setting. However, the subjects randomised to the usual care at OHS did not receive any feedback of their own survey results—that is, in which group they belonged. Moreover, most of the subjects were working in small workplaces or workgroups and therefore interaction between treatment arms would have been limited anyway: there were 48 occupational health centres involved in the study and far more workplaces. Furthermore, the OHS personnel were not aware of the survey results of the usual care groups and thus could not offer them the same services as for the intervention group. For these reasons, we believe that it is unlikely that the results would be biased by contamination.
Our primary outcome was based on recorded sickness absences. This has several advantages: good coverage, accuracy and consistency.28 We were able to follow 92% of the subjects in both arms of the high risk trial. Despite the heavily skewed distribution of sickness absence, in sufficiently large samples linear regression models, including t test and ANCOVA, are valid for any distribution.26
Some differences compared with previous studies
The majority of previous randomised controlled trials in occupational health settings have been illness-related, or the focus has been on highly selected groups of employees. Some RCTs for musculoskeletal disorders8–10 and depression11 have been reported. Few studies have dealt with developing a screening instrument for employees at high risk of work disability and sickness absence.7 15 Two RCTs have aimed at reducing sickness absence within a high-risk subgroup.16 17 Fleten and Johnsen reported a trial in Norway in 1997–8 with 990 consecutive newly sick-listed employees with musculoskeletal or mental disorders randomised to intervention and control group.16 The minimal postal intervention—a general information letter—reduced the length of sick leave periods in subgroups with mental disorders, rheumatic disorders and arthritis, but did not show efficacy in the intention-to-treat analysis. A Dutch trial17 within one large company randomised 116 employees to an intervention (n = 61) and control (n = 55) group. Subjects were older than 50 years and had reported that they would not be able to continue in the present job until retirement. The programme was executed by an occupational physician and comprised at least three consultations including an assessment interview. The procedure included the construction of a detailed action plan, consultation of the employees supervisors and personnel managers and, if appropriate, referral to the general practitioner, a medical specialist or psychologist. The authors reported fewer retirements in the intervention group (11%) than in the control group (28%). The total average number of sick leave days in two years was 82 for the intervention group and 108 for the control group.
| CONCLUSIONS |
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| FOOTNOTES |
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Competing interests: ST and JT are shareholders of and SJ is employed by Evalua International, which was responsible for the screening instrument used in the study. EL, AM, HS and TA have no competing interests to declare.
Ethics approval: The Helsinki University Research Ethics Board for Occupational Health reviewed the study plan and gave their approval in advance. Record number (DNRO): 28/e2/04; date: 23.04.2004. All subjects received written information regarding the study according to the principles of the Declaration of Helsinki. Only subjects who gave their signed informed consent were included in the study. The consent letters are stored with other study material.
Published Online First 6 August 2007
| REFERENCES |
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| 1. | Salonen P, Arola H, Nygard CH, et al. Factors associated with premature departure from working life among ageing food industry employees. Occup Med (Lond) 2003; 53: 65–8.[CrossRef][Medline] |
| 2. | Szubert Z, Sobala W. Current determinants of early retirement among blue collar workers in Poland. Int J Occup Med Environ Health 2005; 18: 177–84.[Medline] |
| 3. | Virtanen M, Kivimaki M, Vahtera J, et al. Sickness absence as a risk factor for job termination, unemployment, and disability pension among temporary and permanent employees. Occup Environ Med 2006; 63: 212–17. |
| 4. | Reiso H, Nygard JF, Brage S, et al. Work ability and duration of certified sickness absence. Scand J Public Health 2001; 29: 218–25. |
| 5. | Virtanen M, Kivimaki M, Elovainio M, et al. From insecure to secure employment: changes in work, health, health related behaviours, and sickness absence. Occup Environ Med 2003; 60: 948–53. |
| 6. | Vaananen A, Toppinen-Tanner S, Kalimo R, et al. Job characteristics, physical and psychological symptoms, and social support as antecedents of sickness absence among men and women in the private industrial sector. Soc Sci Med 2003; 57: 807–24.[CrossRef][Medline] |
| 7. | Roelen CA, van der Pol TR, Koopmans PC, et al. Identifying workers at risk of sickness absence by questionnaire. Occup Med (Lond) 2006. |
| 8. | Heymans MW, de Vet HC, Bongers PM, et al. The effectiveness of high-intensity versus low-intensity back schools in an occupational setting: a pragmatic randomized controlled trial. Spine 2006; 31: 1075–82.[CrossRef][Medline] |
| 9. | Hlobil H, Staal JB, Twisk J, et al. The effects of a graded activity intervention for low back pain in occupational health on sick leave, functional status and pain: 12-month results of a randomized controlled trial. J Occup Rehabil 2005; 15: 569–80.[CrossRef][Medline] |
| 10. | Arnetz BB, Sjogren B, Rydehn B, et al. Early workplace intervention for employees with musculoskeletal-related absenteeism: a prospective controlled intervention study. J Occup Environ Med 2003; 45: 499–506.[CrossRef][Medline] |
| 11. | Lo Sasso AT, Rost K, Beck A. Modeling the impact of enhanced depression treatment on workplace functioning and costs: a cost-benefit approach. Med Care 2006; 44: 352–8.[CrossRef][Medline] |
| 12. | Proper KI, de Bruyne MC, Hildebrandt VH, et al. Costs, benefits and effectiveness of worksite physical activity counseling from the employers perspective. Scand J Work Environ Health 2004; 30: 36–46.[Medline] |
| 13. | Eriksen HR, Ihlebaek C, Mikkelsen A, et al. Improving subjective health at the worksite: a randomized controlled trial of stress management training, physical exercise and an integrated health programme. Occup Med (Lond) 2002; 52: 383–91.[CrossRef][Medline] |
| 14. | Brox JI, Froystein O. Health-related quality of life and sickness absence in community nursing home employees: randomized controlled trial of physical exercise. Occup Med (Lond) 2005; 55: 558–63.[CrossRef][Medline] |
| 15. | Duijts SF, Kant IJ, Landeweerd JA, et al. Prediction of sickness absence: development of a screening instrument. Occup Environ Med 2006; 63: 564–9. |
| 16. | Fleten N, Johnsen R. Reducing sick leave by minimal postal intervention; a randomized, controlled intervention study. Occup Environ Med 2006; 63: 676–82. |
| 17. | de Boer AG, van Beek JC, Durinck J, et al. An occupational health intervention programme for workers at risk for early retirement; a randomised controlled trial. Occup Environ Med 2004; 61: 924–9. |
| 18. | Taimela S, Läärä E, Malmivaara A, et al. Self-reported health problems and sickness absence in different age groups predominantly engaged in physical work. Occup Environ Med 2007; 64: 739–46. |
| 19. | National Public Health Institute. Implementation and methods of the Health 2000 Survey. (Menetelmäraportti. Terveys 2000-tutkimuksen toteutus, aineisto ja menetelmät) . Helsinki: National Public Health Institute, 2005. |
| 20. | Salokangas RK, Poutanen O, Stengard E. Screening for depression in primary care. Development and validation of the Depression Scale, a screening instrument for depression. Acta Psychiatr Scand 1995; 92: 10–16.[Medline] |
| 21. | Kauppinen T, Hanhela R, Heikkilä P, et al. Work and Health in Finland in 2003 (Työ ja terveys Suomessa 2003) . Helsinki: Finnish Institute of Occupational Health, 2003. |
| 22. | Partinen M, Gislason T. Basic Nordic Sleep Questionnaire (BNSQ): a quantitated measure of subjective sleep complaints. J Sleep Res 1995; 4: 150–5.[Medline] |
| 23. | Tuomi K, Ilmarinen J, Jahkola A, et al. Work Ability Index (Työkykyindeksi) . Helsinki: Finnish Institute of Occupational Health, 1992. |
| 24. | Simpura J. Development of common instrument for alcohol consumption. In: Nasikov A, Guder C, eds. Eurohis IOS Press, WHO Regional Office for Europe, 2003. |
| 25. | Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 1991; 14: 540–5.[Medline] |
| 26. | Lumley T, Diehr P, Emerson S, et al. The importance of the normality assumption in large public health data sets. Annu Rev Public Health 2002; 23: 151–69.[CrossRef][Medline] |
| 27. | Gimeno D, Benavides FG, Amick BC, et al. Psychosocial factors and work related sickness absence among permanent and non-permanent employees. J Epidemiol Community Health 2004; 58: 870–6. |
| 28. | Ferrie JE, Kivimaki M, Head J, et al. A comparison of self-reported sickness absence with absences recorded in employers registers: evidence from the Whitehall II study. Occup Environ Med 2005; 62: 74–9. |
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