Context information
Benefits and vocational rehabilitation for individuals with SMI
In the Netherlands, individuals with SMI who are not able to work due to their illness can apply for different types of benefits at UWV.32–34 See online supplemental file 1 for detailed information on these benefits. Generally, individuals who receive a disability benefit are more likely to face greater challenges in participating in the labour market compared with those with a sickness benefit, who typically have a shorter duration of illness. UWV is an autonomous administrative authority and is responsible for the vocational rehabilitation of individuals receiving sickness or disability benefits.27 28 For a significant period, UWV primarily offered TVR services to individuals with SMI receiving these benefits. In 2012, UWV also began to reimburse IPS, provided by mental healthcare agencies. Since then, an increasing number of mental healthcare agencies have implemented and started offering IPS services.
In the Netherlands, healthcare and vocational rehabilitation are strictly divided in terms of insurance and providers. Healthcare insurance will in general not cover any care focusing on return to work. As such, financing vocational rehabilitation executed by a mental health provider is considered rather unique from a Dutch perspective. It needs commitment from both the healthcare insurer for the first few consultations with the IPS employment specialist, and from the income insurer (UWV) for the actual long-term guidance for return to work from the same mental health provider and employment specialist.
Interventions
Individual placement and support
IPS is a clearly described model of vocational rehabilitation and includes the following eight principles: (1) focus on competitive employment, (2) zero exclusion and eligibility based on client choice, (3) rapid job search, (4) attention to consumer choice, (5) integration of mental health and employment services, (6) personalised benefits counselling, (7) systematic job development and (8) time unlimited and individualised follow-along support.13
To be effective, IPS should be implemented according to the model, as a high model fidelity is associated with better employment outcomes.29–31 In the Netherlands, mental healthcare agencies that wanted to offer IPS to their clients received a model fidelity assessment after having professionals trained in providing IPS services. This fidelity assessment was conducted every 2 years by independent reviewers to ensure quality of the IPS services.29 To receive funding from UWV, the mental healthcare agencies needed to have a fair or good IPS fidelity score and only individuals with SMI receiving sickness or disability benefits from UWV were eligible.24 25 27 28 Only professionals trained as IPS employment specialists were allowed to provide IPS services within these agencies. During the study period (2012–2019), around 15–20 mental healthcare agencies in the Netherlands offered IPS services more than incidentally.
During the study period, there were two IPS funding regimens:
Old regimen (January 2012—February 2017): Funding was provided for a maximum duration of 36 months, excluding job coaching. Mental healthcare agencies received additional funding on successfully placing participants in competitive jobs. Data were available only for IPS participants receiving a disability benefit.
New regimen (March 2017–December 2019): The maximum funding duration remained at 36 months, but a higher amount was introduced, which included coverage for job coaching expenses. Data were available for all IPS participants receiving a sickness or disability benefit.
Traditional vocational rehabilitation
The goal of vocational rehabilitation services provided to UWV clients is to help individuals overcome barriers to employment and successfully find work. The process involves regular meetings with UWV professionals to assess the client’s needs and determine which additional services may be required, such as social activation, employee skills enhancement, determining labour market position, job hunting and matching, and job coaching services. These services are financed by a designated budget.
Study population and matching procedure
Administrative data were used to select both intervention and control group individuals, of whom their baseline was defined as the start of their intervention. The intervention group consisted of individuals receiving sickness or disability benefits, who participated in IPS services, funded by UWV, between 2012 and 2019 and were not employed at the start of the intervention. The control group consisted of individuals who participated in TVR, funded by UWV, during the same time period and were not employed at the start of the intervention. These individuals were matched to the intervention group individuals on sex (male/female), age (<25, 25–35, 35–45 and >45 years), region (agglomeration of big cities in West-Netherlands and rest), work history in 12 months before intervention (0–1 month and ≥2 months), type of benefit (disability, other), presence of disability benefits 12 months before start of the intervention (yes, no), number of months of disability benefits over the last 12 (1–9 months, 10–12 months) and over the last 36 months (1–24 months, 25–36 months), medical costs in the last 12 months before start of the intervention (≤€1200, €1200–€6000, €6000–€12 000 and ≥€12 000), mental healthcare costs in the last 12 months before start of the intervention (≤€1200, €1200–€12 000 and ≥€12 000), size of the mental health institute (no institute, ≤49 interventions, ≥50 interventions for IPS and TVR interventions during the study period) and presence of other interventions 36 months before start of the intervention (yes, no). Individuals were also matched on SMI criteria. For the operationalisation of SMI in administrative data, an individual is usually considered to have SMI in a specific year if he or she meets one of the four following criteria: (1) at least one health insurance claim for treatment related to schizophrenia in the current year or one of the previous 2 years; (2) a record of both open and closed longer-lasting mental health insurance claims in each year for the current year and the previous 2 years, excluding claims for diagnostics, indirect time and treatments related to alcohol, addiction, dementia or delirium; (3) an indication for living in sheltered or supported housing and (4) expenses for medications related to bipolar disorder or psychosis.27 These criteria were developed by a Dutch business intelligence centre for health insurance providers (Vektis), in cooperation with mental healthcare providers. All four SMI criteria have been included as binary (0/1) variables in the matching.
To avoid selection effects and provide a clearer comparison with the intervention group, the control group was limited to individuals who received treatment from mental healthcare agencies that do not offer IPS on a large scale (ie, ≥30 IPS trajectories over the total research period). This was done to ensure that the control group was not influenced by the availability of IPS and to reduce the likelihood that individuals who receive IPS differ from individuals who receive TVR on unobservable characteristics. Individuals who had been competitively employed within the month prior to starting the intervention and those who were permanently disabled and unable to work were excluded from the analyses. Additionally, participants who had received IPS within a 2-year period before or after the start of TVR were also excluded. The same sort of interventions (ie, IPS or TVR) that started during the same 2-year time frame were treated as one intervention with the starting date of the first intervention.
Due to the large sample size (ie, 1787 individuals in the IPS group and 103 439 individuals in the TVR group) it was possible to apply exact non-parametric matching. Regarding observed characteristics, exact matching outperforms propensity score matching, ensuring that individuals in the TVR group have the exact same characteristics as their counterparts in the IPS group. When using a propensity score, matched pairs have similar scores but may differ in terms of observed variables of interest, which may introduce a bias in the results. While exact matching ensures that the TVR and IPS group share identical characteristics, it could limit the number of matches due to a possible shortage of exact matches for every individual receiving IPS.
Please note, however, that an individual in the TVR group can serve as a control for multiple IPS participants. In the analysis phase, every individual in the TVR group was weighted by the inverse of the number of controls for the specific individual receiving IPS he or she was matched to.
Effect measures
The primary effect measure was the proportion of individuals having worked for at least 48 hours per month in competitive employment (yes/no). This corresponds approximately to having worked for at least 12 hours per week and may be considered as a measure for sustainable employment (eg, these individuals work more than 1 day). A commonly used effect measure in literature on IPS effectiveness was also evaluated7: the proportion of individuals having worked in competitive employment for at least 1 hour per month (yes/no). Competitive employment was defined as having positive non-zero wage and number of hours worked per month; data on self-employment were not available in this study. Both effect measures (ie, (1) monthly competitive employment ≥12 hours per week and (2) monthly competitive employment ≥1 hour) were assessed every month after baseline (ie, the start of IPS/TVR) during a 36-month period, using data from Statistics Netherlands, which contained precise information on the start and end dates of jobs, the type of employment (competitive or sheltered) and the hours worked in those jobs for all Dutch citizens.
Resource use and valuation
Costs were measured from a societal and payer perspective. From the societal perspective, intervention costs, sickness and disability benefit costs, and healthcare costs were included. The societal perspective is generally recommended when various stakeholders may be affected by an intervention (eg, by the Dutch Manual of Costing).35 36 This is also the case for IPS, as UWV invests in IPS and may benefit from its implementation through reduced spending on sickness and disability benefits, whereas the government and health insurance companies may benefit from it through reduced medical costs. From the payer perspective, only UWV costs were included. This perspective was added as it may provide valuable information to possible payers of the intervention. Information on the individuals’ intervention and benefits costs was collected from the database of UWV. Information on the individuals’ healthcare costs was collected from a National database containing information on all health insurance claims of Dutch citizens that are part of the Basic Health insurance package of all adults (≥18 years). This package covers visits to all medical specialists, emergency services and medically necessary procedures, such as surgery, X-rays, obstetrics and prescription medications. All costs were standardised to 2019 Euro rates using consumer price index numbers for each year.
Statistical analyses
Effectiveness
First, the baseline characteristics of both matched cohorts were descriptively analysed. For the effectiveness analysis, a difference-in-difference fixed-effect estimation to the matched sample was applied, which made it possible to estimate the causal effect of IPS. The difference-in-difference estimation together with exact matching corrects for potential preintervention differences between the IPS group and the control group. A similar approach has been followed by De Graaf-Zijl et al.27 See online supplemental file 2 for the specification of the analysis model.
The differences in effect measures were analysed for the total IPS and TVR group. For all analyses, a two-sided significance level of 5% was used and 95% CIs for the coefficients (βt) were calculated. Effectiveness analyses were performed in STATA v16.
Cost-effectiveness
The cost-effectiveness analysis was performed from the societal and payer perspective and related the difference in total costs between the IPS group and the control group during the 36 months after baseline (∆C) to the differences in effects (∆E: having worked for at least 12 hours per week and having worked for at least 1 hour). These differences were estimated using independent sample t-test on the matched cohorts. Please note that these analyses were performed on complete cases only; that is, those with complete cost and effect data for the full duration of 36 months. As data were gathered from databases and data incompleteness was mainly due to the fact that some individuals started with the intervention less than 36 months ago (ie, they could not have completely observed data), data incompleteness was assumed not to bias the outcomes.
Incremental cost-effectiveness ratios (ICER) were estimated by dividing the differences in costs by the differences in effects (ICER=∆C/∆E). Incremental net benefits (INBs) were estimated for three different willingness to pays (ie, ʎ=the maximum amount of money decision-makers are willing to pay per worker returned to sustainable employment), being €0, €10 000 and €25 000, using the formula INB=∆E×ʎ−∆C. Then, cost-effectiveness acceptability curves were developed indicating the probability of IPS being cost-effective versus TVR for a broad range of willingness to pays.37 38 Cost-effectiveness analyses were performed in R.
Return on investment
The return-on-investment analysis was performed from the societal and payer perspective. Costs were defined as the difference in programme costs of the IPS and TVR intervention. Benefits were defined as the mean difference in benefits costs (payer perspective) and benefits and healthcare costs (societal perspective). Positive benefits indicate a cost saving, while negative benefits indicate a monetary loss.
Two metrics were determined: (1) net benefit (NB)=benefit–costs; (2) benefit cost ratio (BCR)=benefits/costs. An NB of more than 0 and a BCR of more than 1 indicate a positive financial return.38 Return-on-investment analyses were performed in R.