Study design
The study took place in Region Västra Götaland, a large county with 200 public and private primary health care centres (PHCCs). The study was conducted at the Institute of Stress Medicine (ISM), Region Västra Götaland, and the Department of Work Science and Sociology, University of Gothenburg. PRIMA is part of the New Ways research programme, which is aimed at the identification and treatment of CMD and to provide support for persons with CMD so that they can continue to work, at the Section for Social Medicine and Public Health, Sahlgrenska Academy, University of Gothenburg. The study was registered on 01/11/2016 (ClinicalTrials.gov, NCT03022760).
Recruitment, randomization and sample
The recruitment of PHCCs took place between January and October 2016. A total of 30 PHCCs were invited to participate from both public and private health care centres, and 22 accepted to participate (15 from public health care centres and seven from private health care centres). The centres were matched in pairs based on similarities in terms of size, ownership, socioeconomic conditions in the catchment area and the average proportion of enrolled patients that had a mental health diagnosis. The extent of RC resources was also taken into consideration. From each pair, one centre was randomly selected to the intervention group (n=11) and the other to the control group (n=11). Blinding was not possible in this study.
The recruitment of patients took place at the 22 PHCCs between November 2016 and January 2018. At the intervention centres, the patients were invited to participate in the study by their assigned RC. At the control centres, eligible patients were invited to participate by their GP.
Employed patients with a F43 diagnosis as the main diagnosis were eligible for participation. Patients with post-traumatic stress disorder (PTSD), patients who did not read or speak Swedish and patients who have had a sick-leave period of more than 60 consecutive days during the past three years were excluded. Patients seeking care for stress-related symptoms who met the inclusion criteria were included in the study after giving their informed consent. Treatment as usual (TAU), such as medical treatment or therapy, was offered to both cases and controls during the process (see Figure 1 for a flowchart of the participant patients).
The final study sample included 112 participants, 54 participants in the intervention group and 58 participants in the control group (see Table 1).
Table 1. Study sample
|
Intervention (n= 54)
|
TAU (n= 58)
|
|
|
|
Female
|
46 (85%)
|
51 (88%)
|
Age
|
42 (11.22 SD)
|
41 (11.88 SD)
|
F43 diagnoses
|
|
|
F43.0 Acute stress reaction
|
4 (7%)
|
3 (5%)
|
F43.8 Other reactions of severe stress
|
3 (6%)
|
1 (2%)
|
F43.8A Exhaustion disorder
|
32 (59%)
|
27 (47%)
|
F43.9 Reaction to severe stress
|
15 (28%)
|
27 (46%)
|
Sick leave days before inclusion
|
39 (21.82 SD)
|
39 (28.33 SD)
|
Table 1. TAU= treatment as usual. SD= standard deviation
The intervention
The design of the intervention was based on the Person-Environment-Occupation model (PEO), where occupational performance depends on the interaction between the person (P), the environment (E) and the occupation (O) (31). The occupation relates to the work tasks the person is doing. The PEO-model suggests that interventions from the therapists should be directed to the individual, the work environment and the occupation (work tasks).
The intervention comprised a) a one-day training where all participant GPs and RCs were invited, b) a standardized procedure for GPs and RCs to follow after training and c) the opportunity for GPs to seek clinical advice from specialist physicians in the research group (see Figure 2).
The training day was intended to increase the knowledge of both GPs and RCs about stress-related disorders and RTW. The lectures and workshops were conducted by experienced physicians, a psychologist and an occupational therapist who were also researchers at the Institute of Stress Medicine (ISM) or at the University of Gothenburg. The participants learned more about stress-related symptoms with a focus on long-term stress and ED. They were also informed why the employer should be involved at an early stage of the rehabilitation process and how the employer would be involved. A total of 76 GPs and 13 RCs underwent the one-day training; the number of participating GPs per centre varied from 2 to 13, however, all GPs working at the intervention PHCCs could contribute by referring patients for inclusion in the study. The standardised procedure (Part B in Figure 2) contained four steps and was designed to involve the patient, the GP, the RC and the employer in the RTW process. Step one: when a GP identified a patient for inclusion, a meeting with the patient and the RC was arranged. Step two: the patient met the RC and received further information about the study before giving their informed consent to participate. The patient filled out a questionnaire containing questions on background characteristics, occupation, symptoms, work stressors and private life stressors, work ability, RTW self-efficacy, employer activities, RTW motivation and general health. The RC used the questionnaire to interview the patient and provided the GP with a summary. Step three: the RC called the patient´s employer and performed a structured interview about the employer’s view on the situation before and after the patient’s sick leave. The RC also asked the employer about the readiness for RTW, if the employer had any suggestions on what could be done at the workplace to enable RTW and if the employer took any steps to facilitate RTW. The GP was provided a summary of this interview. Step four: a meeting between the patient, the GP, RC and the employer was held to set up a plan for RTW. In the third part of the intervention, all participants in the intervention group were offered clinical advice by phone or e-mail from the specialist physicians at ISM. The intervention has been described in detail in Bjork et al. (30).
Intervention adherence
Among the two private and nine public intervention centres, the average proportion of enrolled patients that had a common mental health diagnosis in 2015 (the year the centres were recruited to the study) was 15% (range 13-18%). This was expected to provide a sound basis for patient recruitment. However, only five of the eleven intervention centres succeeded with protocol adherence. Together, RCs at these centres recruited 56 patients and successfully contacted 53 employers. In the six remaining centres, only 9 patients were recruited, and one employer contact was made. Post-intervention interviews with participant managers, RCs and GPs provide preliminary explanations for why centres failed or succeeded in their implementation. At the centres that succeeded, the RC had a clear role vis-à-vis the GPs, and routines for working with sickness certification and insurance medicine were well established before these centres engaged in the study. In other words, the compatibility between the intervention and pre-existing workflows was high. Second, centres that struggled with high workloads and staff turnover failed in their implementation. Here, both GPs and RCs were tasked with managing the daily operations, and their ‘readiness for change’ was low. However, these explanations should be explored further in future research.
Outcome measures and statistical analyses
The primary outcome measures were the number of registered sick leave days for cases and controls at three, six, 12 and 24 months after inclusion. Data was retrieved from the Swedish Social Insurance Agency’s Micro Database for Analysing Social Insurance (MiDAS). In Sweden, sick leave benefits are granted for 25%, 50%, 75% or 100% of a working day, depending on how much the ability to work is reduced because of the diagnosis. Both gross days (number of sick days, regardless of extent of sick leave) and net days (number of sick days converted into whole sick days) were used as outcomes in this study.
The Mann-Whitney test was used to investigate the difference in gross and net days between the groups, with the level of significance set to p <0.05. All analyses were conducted using the statistical package IBM SPSS Statistics 22.