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Erschienen in: BMC Public Health 1/2017

Open Access 01.12.2017 | Research article

Job demands and decision control predicted return to work: the rapid-RTW cohort study

verfasst von: Lise Aasen Haveraaen, Lisebet Skeie Skarpaas, Randi Wågø Aas

Erschienen in: BMC Public Health | Ausgabe 1/2017

Abstract

Background

In order to help workers with long-term sickness absence return to work (RTW), it is important to understand factors that either impede or facilitate employee’s reintegration into the labour force. The aim of this study was therefore to examine the impact of psychological work characteristics on time-to first RTW in sick listed employees in Norway.

Methods

The study was designed as a cohort study of 543 employees participating in 50 different RTW programmes. The Job Content Questionnaire (JCQ) was used to gather information on the psychological work conditions. The participants were followed for up to 18 months after they started treatment in the RTW programme. Survival analyses were used to investigate the association between psychological work conditions and time-to first RTW.

Results

Having high psychological job demands (HR = .654; 95% CI: .513–.832) and low decision control (HR = 1.297; 95% CI: 1.010–1.666) were both independent predictors of delayed RTW. Employees in low-strain jobs (low demands/high control) (HR = 1.811; 95% CI: 1.287–2.549) and passive jobs (low demands/low control) (HR = 1.599; 95% CI: 1.107–2.309), returned to work earlier compared to employees in high-strain jobs (high demands/low control). No difference was found for active jobs (high demands/high control).

Conclusion

This study revealed that high psychological demands, low control, and being in a high strain job reduced the probability of early RTW in sick listed employees. RTW programmes should therefore increase the focus on these issues.
Abkürzungen
CI
Confidence interval
HR
Hazard ratios
JCQ
Job content questionnaire
NSD
Norwegian Social Science Data Service
RTW
Return to work
SE
Standard error

Background

Prolonged sick leave is a public health concern associated with social, health and economic consequences for the employee, as well as for the society [1]. For the individual, long-term sickness absence has been found to lead to social isolation and inactivity [24], depressive symptoms [3, 4], impaired self-image [2, 3], reduced well-being [5], and increased risk of disability pension [6, 7]. The annual costs related to sickness absence in Norway have been estimated to approximately 36.4 billion NOK (approx. US $6.5 billion or US $1.300 per capita) [8]. To facilitate a fast and safe return to work (RTW) is therefore of importance.
Sickness absence and work disability are complex phenomenon that can be seen as an interplay between the sick-listed employee and several factors and arenas, both at, and outside, the workplace [9, 10]. The systems and stakeholders in, or related to, the health care services and the social security systems can affect the employee and the RTW process [9, 11]. But the behaviour of the sick listed employee and how he or she copes with the disability, is also affected by physical, cognitive and emotional factors, as well as social relations at the personal level [9, 11]. In order to help employees on long-term sick leave return to work, it is crucial to understand the wide spectre of factors that either impede or facilitate employee’s reintegration to the labour force [12].
A growing amount of research has revealed that some aspects of the work environment can contribute to higher levels of sickness absence [1316] and reduced probability of returning to work [1721]. In addition to focusing on organizational and physical aspects of the work environment [2225], studies also recognize the importance of psychological and social factors in a RTW process [1721, 26, 27]. The demand-control model is one of the most widely used models for describing the impact of the psychosocial work environment on employee health. The concept of demands and control was first introduced by Karasek in 1979 [28]. Psychological job demands refer to the work pressure and workload experienced in the job, whereas decision control (or decision latitude) is concerned with the breadths of skills usable in the job and the social authority each worker has over making decisions. In the model, it is proposed that the psychological demands interact with the degree of decision control, generating four distinctly different kinds of psychosocial work experiences—also known as job types; high-strain jobs (high demands and low control), low-strain jobs (low demands and high control), active jobs (high demands and high control), and passive jobs (low demands and low control). If the demands are perceived as high and the decision control is low, job strain occurs. If, on the other hand, high demands are combined with a high level of decision control, growth, motivation and learning occurs.
An increasing amount of research has examined the association between the psychosocial work environment and work participation. However, most of the studies have used specific study groups, and different measures of RTW. This has made the results hard to generalize, and no definite conclusion has been made regarding the impact of the work environment on sickness absence and RTW. Nonetheless, the research seems to point towards an association between high job demands and delayed RTW. For example, a recent synthesis of 27 systematic reviews concluded that having high psychological job demands is a risk factor for disability and work absence [14]. Other studies suggest that low decision control and limited work flexibility affects disability and absenteeism. For example, O’Neill et al. (2010) found that low decision control reduced the RTW rates after myocardial infarction [29], and Krause et al. (2001) found that low decision control alone reduced the chances of returning to work with up to 30% for employees sick listed due to low back pain [20]. The interference of high-strain jobs on RTW has been fairly well established, and numerous studies have documented that the combination of high demands and low control reduces the probability of returning to work [1721]. However, conflicting results have been found for the impact of the other three job types. Jansen et al. (2003) for example, found that the combination of high demands and high control (active jobs) had a positive impact on RTW [26], whereas Lidwall and Marklund (2006) found that the same combination was associated with long-term sickness absence in women [15]. These conflicting findings argue for more studies on how the psychosocial work environment affects RTW, using different populations. The aim of this study was therefore to assess the association between psychological work characteristics and time-to first RTW in a cohort of full - time sick listed employees participating in RTW programmes in Norway.

Methods

Design

The study was designed as a longitudinal cohort study of 543 sick listed employees participating in 50 different Rapid-RTW programmes. The study was conducted between February and December 2012. The Job Content Questionnaire (JCQ) [30] was used to gather information on the psychological work characteristics, 1 week before the programme ended. National register data on sickness absence were used to calculate time-to first RTW up to 18 months after the employees started the programme.

Setting

The present study is one of several studies in the Rapid-RTW research project, focusing on the national rapid-RTW programme in Norway called “Raskere tilbake”[17, 31, 32]. This programme is to this date the largest effort for promoting RTW in Norway [31]. Since the programme was implemented in 2007, it has had an annual budget of NOK 700 million (approximately $ 82 million). The programme is organised by the specialist health care service and the Norwegian Labour and Welfare Administration (NAV, i.e. the directorate organising public social insurance services), and includes more than 200 different RTW services, including medical and surgical treatment in clinics, rehabilitation in hospitals (somatic), psychiatric treatment and rehabilitation, occupational training and rehabilitation in institutions, in addition to follow-up and clarification of work abilities [31]. The goal is to contribute to a faster RTW for employees on sick leave, by accomplishing more rapid clarification, medical treatment, and rehabilitation in sick leave cases. In general, there have been few guidelines for what the services should include and how they should be organised, and the content has therefore varied significantly between each service. One objection to the programme, however, has been that it does not give enough attention to workplace aspects or work characteristics.

Study sample

A total of 920 sick listed employees were included in the study. Of these, 543 employees met the inclusion criteria of (1) being on full-time sick leave at the start of the programme; and (2) being in paid employment. For ethical reasons, we were not allowed to collect information on who declined to participate; therefore we do not have information on non-responders.
Table 1 presents the baseline characteristics of the study sample. The sample consisted of 56% women, and the mean age was 45 years (range: 21–67 SD: 9.9). Half of the participants were sick listed due to musculoskeletal disorders (53.2%). Thirty per cent of the sample had a university degree.
Table 1
Baseline characteristics of the study sample
Characteristic
Category
n a
%
Gender
Male
131
22.1
Female
332
55.9
Marital status
Married/registered partner
214
36
Cohabiting
93
15.7
Unmarried
82
13.8
Divorced
58
9.8
Separated
8
1.3
Widowed
5
.8
Educational level
Elementary school (up to 9 years)
50
8.4
Upper secondary school (12 years)
207
34.8
University degree (up to 4 years)
138
23.2
More than 4 years of university education
55
9.3
Diagnoses
Musculoskeletal
316
53.2
Psychiatric
116
19.5
Unspecified
41
6.9
Cancer/tumours
41
6.9
Nervous system
22
3.7
Others
50
8.4
Sector
Private sector
215
36.2
Public- Municipal level
144
24.2
Public- Regional and governmental level
55
9.3
Private- Publically financed sector
20
3.4
Self-employed
7
1.2
aAll predictors could not be assessed for every subject due to missing values

Data collection

Each service, clinic or institution offering a Rapid-RTW programme or intervention was contacted by email and sent an invitation to participate in the study, and 50 agreed to participate. Services that agreed to participate entailed a local study coordinator, who further recruited participants to the study, 1 week before they finished treatment in the programme. Employees who agreed to participate answered self-report questionnaires concerning socio-demographic conditions, health and functioning, the services’ content, organisation and coordination, as well as various aspects of the workplace. As the interventions were independently customized for each of the employees, the length of treatment or rehabilitation varied. The stage in the RTW-process at which the employee filled in the self-report questionnaires would therefore vary.
To measure psychological job demands and decision control, a Norwegian translation of the JCQ was used [30]. Psychological job demands were measured with five items and decision control was measured with nine items. All the items were scored on a four-point Likert scale, ranging from 1 ‘strongly disagree’ to 4 ‘strongly agree’. There are several ways of calculating the sum scores of the demand-control model, however, the most common way is by using the quadrant term [33]. In accordance with this, the variables were dichotomized at the median using visual binning, in order to create high and low levels of demands and control. Values equal to the median were classified into the less hazardous exposure level, i.e. low demands or high control. The dichotomised variables were then cross-classified, creating the four job types.
The outcome measure was “days until first RTW”, measured from the day the employee started treatment in the programme until the first day the employee re-entered employment, either partially or fully. This is in line with other studies where time until first RTW is used as the outcome measure [3436]. Employees, who had not returned to work within the follow-up time of 18 months, were censored in the analyses. Data on sickness absence was retrieved from the Norwegian Social Insurance Register. The register data were linked to the self-reported data using 11-digit personal identification numbers, retrieved from the participants in the study.

Statistical analysis

SPSS version 21 was used for all the analysis. Survival analyses were used to calculate the time-to first RTW. Kaplan-Meier analyses were used to calculate the median time-to first RTW, whereas Cox proportional hazard analyses were used to model the effects of the independent variables on time-to first RTW. Age, gender, educational level, marital status, diagnosis, sick leave history, household income and occupational sector were entered as confounding variables in the model, as these have been shown to affect duration of sick leave in previous research [4, 37, 38]. Hazard Ratios (HRs) and 95% confidence intervals (95% CIs) were estimated for each variable in both the unadjusted and the adjusted models. Significant results were defined as p < .05.

Results

Eighteen months after the employees started the programme, 77% had returned to work. The median time-to first RTW was 80 days (mean 185; SE: 196).
Employees reporting high psychological job demands had lower RTW rates than employees reporting low job demands (p = .001), with a median of 105 days (mean: 222 days, Standard Error (SE): 15) versus 57 days (mean: 158, SE: 14), respectively. Employees who reported high decision control had significantly higher RTW rates than employees reporting low decision control (p = .013), with a median of 68 days (mean: 165, SE: 14) versus 102 days (mean: 218, SE: 15), respectively. Figure 1 presents the time-to first RTW for each job type. Employees in high-strain jobs (high demands and low control) had significantly lower RTW rates compared to employees in active (high demands and high control), passive (low demands and low control) and low-strain (low demands and high control) jobs (p = .005), with a median time-to first RTW of 207 (mean: 276, SE: 25), 79 (mean: 209; SE: 13), 65 (mean: 178; SE 25) and 50 days (mean: 170; SE: 23) for high-strain, active, passive and low-strain jobs, respectively.
Table 2 presents the results from the cox regression analyses, both unadjusted and adjusted. Having high psychological job demands (HR = .654; 95% CI: .513–.832), or being in a job with low decision control (HR = 1.297; 95% CI: 1.010–1.666) were both independent predictors of delayed RTW. Employees with low-strain jobs (HR = 1.811; 95% CI: 1.287–2.549) and passive jobs (HR = 1.599; 95% CI: 1.107–2.309) had shorter time-to first RTW compared to employees with high-strain jobs, whereas no difference was found for employees in active jobs.
Table 2
The association between psychological job demands, decision control, and the demand-control [39] job types on return to work, 18 months after participation in a return-to-work programme
Variable
 
Unadjusted
 
Adjustedb
 
n a
HR
95% CI
p
n a
HR
95% CI
p
Psychological job demands
405
.688
.551–.859
.001
363
.654
.513–.832
.001
Decision control
408
1.322
1.059–1.650
0.014
366
1.297
1.010–1.666
.042
The DC job typesc
385
  
.005
348
  
004
 Low-strain jobs
 
1.750
1.282–2.389
.000
 
1.811
1.287–2.549
.001
 Passive jobs
 
1.496
.1.075–2.082
.017
 
1.599
1.107–2.309
.012
 Active jobs
 
1.369
.991–1.890
.057
 
1.281
.887–1.849
.186
Abbreviations: HR hazard ratio, CI confidence interval, DC demand-control model
aall predictors could not be assessed for every subject due to missing values. bAdjusted for age, gender, educational level, marital status, diagnoses, previous sickness absence, workplace sector and household income c high-strain jobs were used as a reference value

Discussion

The aim of this study was to assess the association between psychological work characteristics and time to first RTW after a RTW programme. The following results will be discussed: (1) reporting high psychological job demands increased the time-to first RTW, (2) reporting high decision control decreased the time-to first RTW, and (3) having high-strain jobs decreased the probability of returning to work early, compared to low-strain and passive jobs.
In accordance with previous studies [17, 20, 21, 27], reporting high psychological job demands was associated with delayed RTW in this study. Research on the impact of work on health has found that high job demands are not necessarily negative, in many cases high demands can lead to higher levels of motivation, learning and growth [39]. However, in a RTW situation it is possible that the work demands are perceived as extra demanding, as the employee might experience impaired job performance as a result of the disability [40, 41]. Furthermore, as high psychological demands are associated with the development of health complaints [20], it is possible that high demands induce a fear of recurring or worsening the health complaints for which one called sick to begin with, thereby reducing the chances of returning to work [26]. Consequently, having a job with high work demands might reduce the employee’s wish to return to work. A persons wish to return to work and beliefs of succeeding has been found to affect whether the employee returns to work or not [4244]. Johansson and Lundberg (2005) suggests that whether an employee is sick listed or not is a function of the decision to go to work, and that this choice is determined not only by the persons disability, but by a function of different factors outside the individual [45]. High job demands have been linked to fear-avoidance behaviour in other studies [46], which in turn has been associated with prolonged sickness absence and delayed RTW [4648].
Several studies have acknowledged the association between decision control and RTW [19, 20, 26, 49], and the association between low decision control and delayed RTW is well established [14, 20, 24]. These findings were further confirmed in this study. Decision control is concerned with the breadth of skills used in the job, and the social authority the employee has over using these skills to accomplish the work tasks [39]. High decision control can therefore be associated with a wider flexibility and more adjustment possibilities [4]. Having good adjustment possibilities and flexibility might make it easier for the disabled employee to regulate their work depending on their health conditions, thereby increasing the possibility of returning to work [50, 51].
Employees in high-strain jobs had decreased RTW rates compared to employees in low-strain and passive jobs. In earlier studies, low-strain jobs have been found to predict lower than average psychological strain and risk of illness [39], as the high levels of decision control allows the individual to respond to each workplace challenge optimally. In addition, as the pressure and workload is experienced as low in passive jobs, there is room for making work modifications despite the low decision control, thereby making it possible to return to work earlier than in high-strain jobs. In high-strain jobs, the employees’ decision control is low at the same time as the demands are high, restricting the adjustment possibilities in the job. Few adjustment possibilities have been found to correlate significantly with long-term sickness absence [4]. Furthermore, few adjustment possibilities restrict the use of different coping mechanisms when faced with stressful situations. As high-strain jobs are associated with excessive stress levels, remaining out of work can be considered a coping mechanism to avoid or reduce the stressful working conditions [52]. The strategy of avoidance, or restraint, is often overlooked as a potential coping strategy, as restrain from the stressor is not considered a good solution for coping with a stressful situation. However, under some circumstances it can be perceived as a necessary and functional response, as it might prevent the employee from acting prematurely and RTW before he or she is ready. As previously noted, high job demands have been linked to fear-avoidance behaviour in other studies [46], making this a plausible explanation for the delay in RTW.
Another possibility is that the work experience maintains or aggravates the employees’ ill health. High-strain jobs have been linked to impaired immune systems, and several physical disorders including musculoskeletal disorders, cardiovascular disease and even some forms of cancer [5355]. It is thus possible that the employee’s experience of work environment directly impacts the employees’ health and recurring sickness absence [15, 27], or that high levels of work-related stress impedes for the use of adequate coping behaviours of the illness the employee experiences, extending the sickness absence period.

Methodological discussion

This study has some limitations. The demand-control model was used as a theoretical basis for the study, and the information about work characteristics is therefore limited to the dimensions described in the model. Although the model has received a fair amount of recognition, it has also been criticised for its simplicity and lack of relevance facing the modern society’s complexity and work challenges [56]. Other work characteristics, such as attitude towards the job, job insecurity, job satisfaction and effort-reward imbalance might reveal a more complete picture of the impact of psychological work characteristics on RTW. Nonetheless, the model has achieved an increasing level of recognition in explaining an employee’s return to work in previous studies [1721, 26, 57]. The mediating effect of social support on work-stress was not analysed in this study. According to Johnsen and Hall (1988) social support from co-workers and supervisors can function as a buffer against stress and reduce the risk of illness by increasing the employees resilience to stressors [58]. High levels of support has been found to increase the probability of returning to work early in other studies [17], and it is possible that controlling for the role of social support in a RTW process would yield different results. However, the findings in this study suggest that how the employees experience the work demands and levels of decision control does interfere with the RTW process, regardless of social support.
On should also be aware that all the predictors could not be assessed for every subject due to missing values. As the work characteristics and the confounding variables were measured through self-report, all the items in the questionnaire were not answered by all the employees. In order to correctly calculate the sum score in the JCQ, every item in the questionnaire needs to be answered, and cases with missing values can therefore not be included in the analysis. This might have impacted the results in the regression models. Of the 543 employees who were included in the study, 348 answered all the questions relevant for this study, meaning that—at most - 195 cases were lost due to missing values on either the predictor or the confounding variables.
As the work environment was measured through self-report questionnaires at the end of the treatment period, the perception of the work environment was based on recall, making it susceptible for recall-bias. However, as the study is concerned with the further development of occupational rehabilitation programmes, this is not a weakness, because the perception of the work environment in itself is likely to be relevant to the subsequent RTW process. Furthermore, as a remembered previous workplace environment can persist long after a rehabilitation programme is ended, the recalled perception of the workplace can be just as important as the actual work environment [18].
The study used a specific sample of subjects who received a RTW programme. The Rapid-RTW programme was initially intended for persons who were motivated for returning to work, and this might potentially yield different results compared to a study investigating a random sample of employees with medically certified sick leave.

Conclusion

The results from the study indicate that having high psychological job demands and low decision control were both independent predictors of delayed RTW up to 18 months after participation in a RTW programme. Being in high-strain jobs significantly reduced the RTW rates compared to low-strain and passive jobs. This study further underpins a growing number of studies highlighting the importance of perceived work conditions in a RTW process. Identification of employees who experience their work environment as challenging is therefore important in a RTW process, as it makes it possible to meet their challenges regarding workplace issues more effectively. RTW programmes should therefore include intervention components targeting the individual and/or the work environment. We also need to test the effectiveness of such components in rigorous intervention studies.

Acknowledgements

We would like to thank the informants, and the 50 rapid-RTW services for their valued contribution to this study, and especially the study coordinator in each of the RTW services. We would further like to thank the Ministry of Labour and Social Affairs for co-funding the data collection of this study.

Funding

The study was funded by the Norwegian Ministry of Labour and Social Affairs. The funder did not have any role in the design, collection, analysis, or interpretation of data, nor in the writing of the manuscript.

Availability of data and materials

The datasets analysed during the current study are not publicly available due to research ethical considerations, but are available from the corresponding author on reasonable request.

Authors’ contributions

LAH contributed with recruitment of the participants and the collection and procession of the data, analyzed and interpreted the data, wrote and revised the manuscript, and read and approved the final manuscript. LSS contributed with recruitment of the participants and the collection and procession of the data, revision of the manuscript, and read and approved the final manuscript. RWA contributed with the idea, funding, design and management of the project, recruitment of participants, collection and procession of data, planning and monitoring the analysis, and revision and quality assurance of the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.
Not applicable.
The study was approved by the Norwegian Social Science Data Service (NSD) with the reference number: 28988. The Norwegian Data Protection Authority (Datatilsynet) gave consent to handle person identified information, reference number: 13/00141-5/KEL.
Written informed consent for participation in the study was obtained from the patient before the study was conducted. A copy of the consent form is available for review by the Editor of this journal.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat OECD. Sickness, disability and work: breaking the barriers: a synthesis of findings across OECD countries. Paris: OECD; 2010. OECD. Sickness, disability and work: breaking the barriers: a synthesis of findings across OECD countries. Paris: OECD; 2010.
2.
Zurück zum Zitat Ockander M, Timpka T. A female lay perspective on the establishment of long-term sickness absence. Int j soc welf. 2001;10:74–9.CrossRef Ockander M, Timpka T. A female lay perspective on the establishment of long-term sickness absence. Int j soc welf. 2001;10:74–9.CrossRef
3.
Zurück zum Zitat Vingård E, Alexanderson K, Norlund A. Chapter 9. Consequences of being on sick leave. Scand j public health. 2004;32(63):207–15.CrossRef Vingård E, Alexanderson K, Norlund A. Chapter 9. Consequences of being on sick leave. Scand j public health. 2004;32(63):207–15.CrossRef
4.
Zurück zum Zitat Aas RW. Raskt tilbake—Kunnskapsbasert rehabilitering av sykmeldte, 1 edn. Oslo: Gyldendal Akademisk; 2009. Aas RW. Raskt tilbake—Kunnskapsbasert rehabilitering av sykmeldte, 1 edn. Oslo: Gyldendal Akademisk; 2009.
5.
Zurück zum Zitat Floderus B, Göransson S, Alexanderson K, Aronsson G. Self-estimated life situation in patients on long-term sick leave. J rehabil med. 2005;37:291–9.CrossRefPubMed Floderus B, Göransson S, Alexanderson K, Aronsson G. Self-estimated life situation in patients on long-term sick leave. J rehabil med. 2005;37:291–9.CrossRefPubMed
6.
Zurück zum Zitat Jansson C, Alexanderson K. Sickness absence due to musculoskeletal diagnoses and risk of diagnosis-specific disability pension: a nationwide swedish prospecitve cohort study. Pain. 2013;154(6):933–41.CrossRefPubMed Jansson C, Alexanderson K. Sickness absence due to musculoskeletal diagnoses and risk of diagnosis-specific disability pension: a nationwide swedish prospecitve cohort study. Pain. 2013;154(6):933–41.CrossRefPubMed
7.
Zurück zum Zitat Borg K, Hensing G, Alexanderson K. Predictive factors for disability pension—an 11-year follow up for young persons on sick leave due to neck, shoulder, or back diagnoses. Scand j public health. 2001;29:104–12.CrossRefPubMed Borg K, Hensing G, Alexanderson K. Predictive factors for disability pension—an 11-year follow up for young persons on sick leave due to neck, shoulder, or back diagnoses. Scand j public health. 2001;29:104–12.CrossRefPubMed
8.
Zurück zum Zitat Hystad SW, Eid J, Brevik JI. Effects of psychological hardiness, job demands and job control on sickness absence: a prospective study. J occup health psychol. 2011;16(3):265–78.CrossRefPubMed Hystad SW, Eid J, Brevik JI. Effects of psychological hardiness, job demands and job control on sickness absence: a prospective study. J occup health psychol. 2011;16(3):265–78.CrossRefPubMed
9.
Zurück zum Zitat Loisel P, Durand MJ, Berthelette D, Vézina N, Baril R, Gagnon D, Larivière C, Tremblay C. Disability prevention: New paradigm for the management of occupational back pain. Dis manag health out. 2001;9(7):351–60.CrossRef Loisel P, Durand MJ, Berthelette D, Vézina N, Baril R, Gagnon D, Larivière C, Tremblay C. Disability prevention: New paradigm for the management of occupational back pain. Dis manag health out. 2001;9(7):351–60.CrossRef
10.
Zurück zum Zitat Pransky G, Loisel P, Anema J. Work disability prevention research: current and future prospects. J occup rehabil. 2011;21(3):287–92.CrossRefPubMed Pransky G, Loisel P, Anema J. Work disability prevention research: current and future prospects. J occup rehabil. 2011;21(3):287–92.CrossRefPubMed
11.
Zurück zum Zitat Loisel P, Anema H. Handbook of work disability : prevention and management. Dordrecht: Springer; 2013.CrossRef Loisel P, Anema H. Handbook of work disability : prevention and management. Dordrecht: Springer; 2013.CrossRef
12.
Zurück zum Zitat Cornelius L, Klink J, Groothoff J, Brouwer S. Prognostic factors of long term disability Due to mental disorders: a systematic review. J occup rehabil. 2011;21(2):259–74.CrossRefPubMed Cornelius L, Klink J, Groothoff J, Brouwer S. Prognostic factors of long term disability Due to mental disorders: a systematic review. J occup rehabil. 2011;21(2):259–74.CrossRefPubMed
13.
Zurück zum Zitat Michie S, Williams S. Reducing work related psychological ill health and sickness absence: a systematic literature review. Occup environ med. 2003;60(1):3–9.CrossRefPubMedPubMedCentral Michie S, Williams S. Reducing work related psychological ill health and sickness absence: a systematic literature review. Occup environ med. 2003;60(1):3–9.CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat White M, Wagner S, Schultz IZ, Murray E, Bradley SM, Hsu V, McGuire L, Schulz W. Modifiable workplace risk factors contributing to workplace absence across health conditions: a stakeholder-centered best-evidence synthesis of systematic reviews. Work. 2013;45(4):475–92.PubMed White M, Wagner S, Schultz IZ, Murray E, Bradley SM, Hsu V, McGuire L, Schulz W. Modifiable workplace risk factors contributing to workplace absence across health conditions: a stakeholder-centered best-evidence synthesis of systematic reviews. Work. 2013;45(4):475–92.PubMed
15.
Zurück zum Zitat Lidwall U, Marklund S. What is healthy work for women and men? - a case-control study of gender- and sector-specific effects of psycho-social working conditions on long-term sickness absence. Work. 2006;27(2):153–63.PubMed Lidwall U, Marklund S. What is healthy work for women and men? - a case-control study of gender- and sector-specific effects of psycho-social working conditions on long-term sickness absence. Work. 2006;27(2):153–63.PubMed
16.
Zurück zum Zitat Duijts SF, Kant I, Swaen GM, van den Brandt PA, Zeegers MP. A meta-analysis of observational studies identifies predictors of sickness absence. J clin epidemiol. 2007;60(11):1105–15.CrossRefPubMed Duijts SF, Kant I, Swaen GM, van den Brandt PA, Zeegers MP. A meta-analysis of observational studies identifies predictors of sickness absence. J clin epidemiol. 2007;60(11):1105–15.CrossRefPubMed
17.
Zurück zum Zitat Haveraaen LA, Skarpaas LS, Berg JE, Aas RW. Do psychological job demands, decision control and social support predictreturn to work 3 months after a return-to-work (RTW) programme? The rapid-RTW cohort study. Work. 2015;53(1):61–71.CrossRefPubMed Haveraaen LA, Skarpaas LS, Berg JE, Aas RW. Do psychological job demands, decision control and social support predictreturn to work 3 months after a return-to-work (RTW) programme? The rapid-RTW cohort study. Work. 2015;53(1):61–71.CrossRefPubMed
18.
Zurück zum Zitat Ballabeni P, Burrus C, Luthi F, Gobelet C, Dériaz O. The effect of recalled previous work environment on return to work after a rehabilitation program including vocational aspects for trauma patients. J occup rehabil. 2010;21:43–53.CrossRef Ballabeni P, Burrus C, Luthi F, Gobelet C, Dériaz O. The effect of recalled previous work environment on return to work after a rehabilitation program including vocational aspects for trauma patients. J occup rehabil. 2010;21:43–53.CrossRef
19.
Zurück zum Zitat Fukuoka Y, Dracup K, Takeshima M, Ishii N, Makaya M, Groah L, Kyriakidis E. Effect of job strain and depressive symptoms upon returning to work after acute coronary syndrome. Soc sci med. 2009;68:1875–81.CrossRefPubMed Fukuoka Y, Dracup K, Takeshima M, Ishii N, Makaya M, Groah L, Kyriakidis E. Effect of job strain and depressive symptoms upon returning to work after acute coronary syndrome. Soc sci med. 2009;68:1875–81.CrossRefPubMed
20.
Zurück zum Zitat Krause N, Dasinger L, Deegan L, Rudolph L, Brand R. Psychosocial job factors and return-to-work after compensated low back injury: a disability phase-specific analysis. Am j ind med. 2001;40:374–92.CrossRefPubMed Krause N, Dasinger L, Deegan L, Rudolph L, Brand R. Psychosocial job factors and return-to-work after compensated low back injury: a disability phase-specific analysis. Am j ind med. 2001;40:374–92.CrossRefPubMed
21.
Zurück zum Zitat Krause N, Frank J, Dasinger L, Sullivan T, Sinclair S. Determinants of duration of disability and return-to-work after work-related injury and illness: challenges for future research. Am j ind med. 2001;40:464–84.CrossRefPubMed Krause N, Frank J, Dasinger L, Sullivan T, Sinclair S. Determinants of duration of disability and return-to-work after work-related injury and illness: challenges for future research. Am j ind med. 2001;40:464–84.CrossRefPubMed
22.
Zurück zum Zitat Board BJ, Brown J. Barriers and enablers to returning to work from long-term sickness absence: part I—a quantitative perspective. Am j ind med. 2011;54:307–24.CrossRefPubMed Board BJ, Brown J. Barriers and enablers to returning to work from long-term sickness absence: part I—a quantitative perspective. Am j ind med. 2011;54:307–24.CrossRefPubMed
23.
Zurück zum Zitat Dasinger LK, Krause N, Deegan LJ, Brand RJ, Rudolph L. Physical workplace factors and RTW after compensated low back injury: a disability phase-specific analysis. J occup environ med. 2000;42:323–33.CrossRefPubMed Dasinger LK, Krause N, Deegan LJ, Brand RJ, Rudolph L. Physical workplace factors and RTW after compensated low back injury: a disability phase-specific analysis. J occup environ med. 2000;42:323–33.CrossRefPubMed
24.
Zurück zum Zitat Krause N, Lund T. Returning to work after occupational injury. In: 1, Barling J, Frone MR, editors. The psychology of workplace safety. Washington, DC: American Psychological Association; 2004. p. 265–95.CrossRef Krause N, Lund T. Returning to work after occupational injury. In: 1, Barling J, Frone MR, editors. The psychology of workplace safety. Washington, DC: American Psychological Association; 2004. p. 265–95.CrossRef
25.
Zurück zum Zitat Lund T, Labriola M, Christensen K, Bültmann U, Villadsen E. Physical work environment risk factors for long term sickness absence: prospective findings among a cohort of 5357 employees in Denmark. BMJ. 2006;332:449–52.CrossRefPubMedPubMedCentral Lund T, Labriola M, Christensen K, Bültmann U, Villadsen E. Physical work environment risk factors for long term sickness absence: prospective findings among a cohort of 5357 employees in Denmark. BMJ. 2006;332:449–52.CrossRefPubMedPubMedCentral
26.
Zurück zum Zitat Janssen N, van den Heuvel WPM, Beurskens AJHM, Nijhuis FJN, Schröer CAP, van Eik JTM. The demand-control-support model as a predictor of return to work. Int j rehabil res. 2003;26(1):1–9.CrossRefPubMed Janssen N, van den Heuvel WPM, Beurskens AJHM, Nijhuis FJN, Schröer CAP, van Eik JTM. The demand-control-support model as a predictor of return to work. Int j rehabil res. 2003;26(1):1–9.CrossRefPubMed
27.
Zurück zum Zitat Johnsson A, Fornander T, Rutqvist LE, Vaez M, Alexanderson K, Olsson M. Predictors of return to work 10 months after primary breast cancer surgery. Acta oncol. 2009;48(1):93–8.CrossRefPubMed Johnsson A, Fornander T, Rutqvist LE, Vaez M, Alexanderson K, Olsson M. Predictors of return to work 10 months after primary breast cancer surgery. Acta oncol. 2009;48(1):93–8.CrossRefPubMed
28.
Zurück zum Zitat Karasek R. Job demands, job decision latitude and mental strain: implications for job redesign. Adm sci q. 1979;24(2):285–308.CrossRef Karasek R. Job demands, job decision latitude and mental strain: implications for job redesign. Adm sci q. 1979;24(2):285–308.CrossRef
29.
Zurück zum Zitat O’Neil A, Sanderson K, Oldenburg B. Depression as a predictor of work resumption following myocardial infarction (MI): a review of recent research evidence. Health qual life outcomes. 2010;8:95.CrossRefPubMedPubMedCentral O’Neil A, Sanderson K, Oldenburg B. Depression as a predictor of work resumption following myocardial infarction (MI): a review of recent research evidence. Health qual life outcomes. 2010;8:95.CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Karasek R, Brisson C, Kawakami N, Houtman I, Bongers P, Amick B. The job content questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. J occup health psychol. 1998;3(4):322–55.CrossRefPubMed Karasek R, Brisson C, Kawakami N, Houtman I, Bongers P, Amick B. The job content questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. J occup health psychol. 1998;3(4):322–55.CrossRefPubMed
31.
Zurück zum Zitat Aas RW, Solberg A, Strupstad J. Raskere tilbake. Organisering, kompetanse, mottakere og forløp i 120 tilbud til sykemeldte. Stavanger: International Research Institute of Stavanger; 2011. Aas RW, Solberg A, Strupstad J. Raskere tilbake. Organisering, kompetanse, mottakere og forløp i 120 tilbud til sykemeldte. Stavanger: International Research Institute of Stavanger; 2011.
32.
Zurück zum Zitat Skarpaas LS, Aas RW, Berg JE. Eksperters erfaringer og synspunkter om oppfølging av sykmeldte og raskere tilbake ordningen. En delphi-studie i to runder. Oslo: Oslo and Akershus University College; 2013. Skarpaas LS, Aas RW, Berg JE. Eksperters erfaringer og synspunkter om oppfølging av sykmeldte og raskere tilbake ordningen. En delphi-studie i to runder. Oslo: Oslo and Akershus University College; 2013.
33.
Zurück zum Zitat Landsbergis PA, Schnall PL, Warren K, Pickering TG, Schwartz JE. Association between ambulatory blood pressure and alternative formulations of job strain. Scand j work environ health. 1994;20:349–63.CrossRefPubMed Landsbergis PA, Schnall PL, Warren K, Pickering TG, Schwartz JE. Association between ambulatory blood pressure and alternative formulations of job strain. Scand j work environ health. 1994;20:349–63.CrossRefPubMed
34.
Zurück zum Zitat Nieuwenhuijsen K, Verbeek JH, de Boer AG, Blonk RW, van Dijk FJ. Supervisory behaviour as a predictor of return to work in employees absent from work due to mental health problems. Occup environ med. 2004;61(10):817–23.CrossRefPubMedPubMedCentral Nieuwenhuijsen K, Verbeek JH, de Boer AG, Blonk RW, van Dijk FJ. Supervisory behaviour as a predictor of return to work in employees absent from work due to mental health problems. Occup environ med. 2004;61(10):817–23.CrossRefPubMedPubMedCentral
35.
Zurück zum Zitat Nieuwenhuijsen K, Verbeek JH, Siemerink JC, Tummers-Nijsen D. Quality of rehabilitation among workers with adjustment disorders according to practice guidelines; a retrospective cohort study. Occup environ med. 2003;60 Suppl 1:i21–5.CrossRefPubMedPubMedCentral Nieuwenhuijsen K, Verbeek JH, Siemerink JC, Tummers-Nijsen D. Quality of rehabilitation among workers with adjustment disorders according to practice guidelines; a retrospective cohort study. Occup environ med. 2003;60 Suppl 1:i21–5.CrossRefPubMedPubMedCentral
36.
Zurück zum Zitat Flach PA, Groothoff JW, Krol B, Bultmann U. Factors associated with first return to work and sick leave durations in workers with common mental disorders. Eur j public health. 2012;22(3):440–5.CrossRefPubMed Flach PA, Groothoff JW, Krol B, Bultmann U. Factors associated with first return to work and sick leave durations in workers with common mental disorders. Eur j public health. 2012;22(3):440–5.CrossRefPubMed
37.
Zurück zum Zitat Post M, Krol B, Groothoff JW. Work-related determinants of return to work of employees on long-term sickness absence. Disabil rehabil. 2005;27(9):481–8.CrossRefPubMed Post M, Krol B, Groothoff JW. Work-related determinants of return to work of employees on long-term sickness absence. Disabil rehabil. 2005;27(9):481–8.CrossRefPubMed
38.
Zurück zum Zitat Selander J, Marnetoft S, Bergroth A, Ekholm J. Return to work following vocational rehabilitation for neck, back and shoulder problems: risk factors reviewed. Disabil rehabil. 2002;24(14):704–12.CrossRefPubMed Selander J, Marnetoft S, Bergroth A, Ekholm J. Return to work following vocational rehabilitation for neck, back and shoulder problems: risk factors reviewed. Disabil rehabil. 2002;24(14):704–12.CrossRefPubMed
39.
Zurück zum Zitat Karasek R, Theorell T. Healthy work: stress, productivity, and the reconstruction of working life. USA: Basic Books; 1990. Karasek R, Theorell T. Healthy work: stress, productivity, and the reconstruction of working life. USA: Basic Books; 1990.
40.
Zurück zum Zitat Friesena MN, Yassia A, Cooperb J. Return-to-work: the importance of human interactions and organizational structures. Work. 2001;17:11–22. Friesena MN, Yassia A, Cooperb J. Return-to-work: the importance of human interactions and organizational structures. Work. 2001;17:11–22.
41.
Zurück zum Zitat Lysaght RM, Larmour-Trode S. An exploration of social support as a factor in the return-to-work process. Work. 2008;30:255–66.PubMed Lysaght RM, Larmour-Trode S. An exploration of social support as a factor in the return-to-work process. Work. 2008;30:255–66.PubMed
42.
Zurück zum Zitat Dekkers-Sanchez PM, Wind H, Sluiter JK, Frings-Dresen MH. What factors are most relevant to the assessment of work ability of employees on long-term sick leave? The physicians’ perspective. Int arch occup environ health. 2013;86(5):509–18.CrossRefPubMed Dekkers-Sanchez PM, Wind H, Sluiter JK, Frings-Dresen MH. What factors are most relevant to the assessment of work ability of employees on long-term sick leave? The physicians’ perspective. Int arch occup environ health. 2013;86(5):509–18.CrossRefPubMed
43.
Zurück zum Zitat Heymans MW, De Vet HCW, Knol DL, Bongers PM, Koes BW, Van Mechelen W. Workers’ beliefs and expectations affect return to work 0ver 12 months. J occup rehabil. 2006;16(4):685–95. 611p.CrossRefPubMed Heymans MW, De Vet HCW, Knol DL, Bongers PM, Koes BW, Van Mechelen W. Workers’ beliefs and expectations affect return to work 0ver 12 months. J occup rehabil. 2006;16(4):685–95. 611p.CrossRefPubMed
44.
Zurück zum Zitat Iles RA, Davidson M, Taylor NF. Psychosocial predictors of failure to return to work in non-chronic non-specific low back pain: a systematic review. Occup environ med. 2008;65(8):507–17.CrossRefPubMed Iles RA, Davidson M, Taylor NF. Psychosocial predictors of failure to return to work in non-chronic non-specific low back pain: a systematic review. Occup environ med. 2008;65(8):507–17.CrossRefPubMed
45.
Zurück zum Zitat Johansson G, Lundberg I. Sjukflexibilitetsmodellen—utgångspunkter och resultat. In: Marklund S, Bjurvald M, Hogstedt C, Palmer E, Theorell T, editors. Den höga sjukfrånvaron—problem och lösningar. Stockholm: Arbetslivsinstitutet; 2005. Johansson G, Lundberg I. Sjukflexibilitetsmodellen—utgångspunkter och resultat. In: Marklund S, Bjurvald M, Hogstedt C, Palmer E, Theorell T, editors. Den höga sjukfrånvaron—problem och lösningar. Stockholm: Arbetslivsinstitutet; 2005.
46.
Zurück zum Zitat Soderberg M, Rosengren A, Gustavsson S, Schioler L, Harenstam A, Toren K. Psychosocial job conditions, fear avoidance beliefs and expected return to work following acute coronary syndrome: a cross-sectional study of fear-avoidance as a potential mediator. BMC public health. 2015;15:1263.CrossRefPubMedPubMedCentral Soderberg M, Rosengren A, Gustavsson S, Schioler L, Harenstam A, Toren K. Psychosocial job conditions, fear avoidance beliefs and expected return to work following acute coronary syndrome: a cross-sectional study of fear-avoidance as a potential mediator. BMC public health. 2015;15:1263.CrossRefPubMedPubMedCentral
47.
Zurück zum Zitat 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(2):157–68.CrossRefPubMed 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(2):157–68.CrossRefPubMed
48.
Zurück zum Zitat Grovle L, Haugen AJ, Keller A, Ntvig B, Brox JI, Grotle M. Prognostic factors for return to work in patients with sciatica. Spine j. 2013;13(12):1849–57.CrossRefPubMed Grovle L, Haugen AJ, Keller A, Ntvig B, Brox JI, Grotle M. Prognostic factors for return to work in patients with sciatica. Spine j. 2013;13(12):1849–57.CrossRefPubMed
49.
Zurück zum Zitat Niedhammer I, Bugel I, Goldberg M, Leclerc A, Guéguen A. Psychosocial factors at work and sickness absence in the Gazel cohort: a prospective study. Occup environ med. 1998;55:735–41.CrossRefPubMedPubMedCentral Niedhammer I, Bugel I, Goldberg M, Leclerc A, Guéguen A. Psychosocial factors at work and sickness absence in the Gazel cohort: a prospective study. Occup environ med. 1998;55:735–41.CrossRefPubMedPubMedCentral
50.
Zurück zum Zitat Johansson G, Lundberg O, Lundberg I. Return to work and adjustment latitude among employees on long-term sickness absence. J occup rehabil. 2006;16:185–95.CrossRefPubMed Johansson G, Lundberg O, Lundberg I. Return to work and adjustment latitude among employees on long-term sickness absence. J occup rehabil. 2006;16:185–95.CrossRefPubMed
51.
Zurück zum Zitat Johansson G. The illness flexibility model and sickness absence. Stockholm: Karolinska Institutet; 2007. Johansson G. The illness flexibility model and sickness absence. Stockholm: Karolinska Institutet; 2007.
52.
Zurück zum Zitat Kristensen T. Sickness absence and work strain among Danish slaughterhouse workers: an analysis of absence from work regarded as coping behaviour. Soc sci med. 1991;32(1):15–27.CrossRefPubMed Kristensen T. Sickness absence and work strain among Danish slaughterhouse workers: an analysis of absence from work regarded as coping behaviour. Soc sci med. 1991;32(1):15–27.CrossRefPubMed
53.
Zurück zum Zitat Bosma H, Marmot MG, Hemingway H, Nicholson AC, Brunner E, Stansfeld SA. Low job control and risk of coronary heart disease in whitehall II (prospective cohort) study. Br med j. 1997;314(7080):558–65.CrossRef Bosma H, Marmot MG, Hemingway H, Nicholson AC, Brunner E, Stansfeld SA. Low job control and risk of coronary heart disease in whitehall II (prospective cohort) study. Br med j. 1997;314(7080):558–65.CrossRef
54.
Zurück zum Zitat Eatough EM, Way JD, Chang C-H. Understanding the link between psychosocial work stressors and work-related musculoskeletal complaints. Appl ergon. 2012;43:554–63.CrossRefPubMed Eatough EM, Way JD, Chang C-H. Understanding the link between psychosocial work stressors and work-related musculoskeletal complaints. Appl ergon. 2012;43:554–63.CrossRefPubMed
55.
Zurück zum Zitat McShane SL, Von Glinow MAY: Workplace emotions, attitudes, and stress. In: Organizational Behavior. 5 edn. Boston: McGraw-Hill; 2010. McShane SL, Von Glinow MAY: Workplace emotions, attitudes, and stress. In: Organizational Behavior. 5 edn. Boston: McGraw-Hill; 2010.
56.
Zurück zum Zitat de Jonge J, Kompier M. A critical examination of the demand-control-support model from a work psychological perspective. Int j stress manag. 1997;4(4):235–58.CrossRef de Jonge J, Kompier M. A critical examination of the demand-control-support model from a work psychological perspective. Int j stress manag. 1997;4(4):235–58.CrossRef
57.
Zurück zum Zitat Gimeno D, Amick 3rd BC, Habeck RV, Ossmann J, Katz JN. The role of job strain on return to work after carpal tunnel surgery. Occup environ med. 2005;62(11):778–85.CrossRefPubMedPubMedCentral Gimeno D, Amick 3rd BC, Habeck RV, Ossmann J, Katz JN. The role of job strain on return to work after carpal tunnel surgery. Occup environ med. 2005;62(11):778–85.CrossRefPubMedPubMedCentral
58.
Zurück zum Zitat Johnson J, Hall E. Job strain, work place social support, and cardiovascular disease: a cross-sectional study of a random sample of the swedish population. Am j public health. 1988;78(10):1336–42.CrossRefPubMedPubMedCentral Johnson J, Hall E. Job strain, work place social support, and cardiovascular disease: a cross-sectional study of a random sample of the swedish population. Am j public health. 1988;78(10):1336–42.CrossRefPubMedPubMedCentral
Metadaten
Titel
Job demands and decision control predicted return to work: the rapid-RTW cohort study
verfasst von
Lise Aasen Haveraaen
Lisebet Skeie Skarpaas
Randi Wågø Aas
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2017
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-3942-8

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