Disability, sickness, and unemployment benefits among long-term sickness absentees five years before, during, and after a multidisciplinary medical assessment

Abstract

Aim:

The aim was to describe how a multidisciplinary medical assessment changed the distribution of long-term sickness absentees between three different forms of social security support during a period of eleven years.

Methods:

The study group (n = 1002) consisted of persons on long-term sickness absence who were referred to a multidisciplinary medical assessment by the Social Insurance Office in Stockholm, Sweden between 1998 and 2007. Register data from the years 1993–2008 were linked to the study group. A calculation was provided for the number of days per person and year on unemployment benefits, sickness benefits, and disability pension, five years before, during, and five years after the assessment. Also, differences in the average number of days per person and year were calculated with one-way analysis of variance.

Results:

The number of days on sickness benefits increased up to the time of multidisciplinary medical assessment, from 69 to 218 days on average. After the assessment there was a decrease in the average number of days on sickness benefits, from 218 to 16 days. Before the assessment the number of days on disability pension was 21, but this increased after the assessment from 104 days to an average of 272 days five years after the assessment. There were age differences regarding number of compensated days, and these were particularly pronounced for disability days after the assessment. Further, there were significant differences between types of diagnosis in relation to average days on disability pension after the assessment.

Conclusion:

The study shows that after a multidisciplinary medical assessment there is a rapid increase in disability pension and a dramatic decrease in sickness benefits. The results indicate that for a large number of persons, a Social Insurance Office referral to an assessment does not improve their chances of returning to work, but rather seems to justify disability pension.

Introduction

Long-term sickness absence (SA) and disability pension (DP) are seen as major public health and socioeconomic problems in many Western countries.^1,2 Research during recent decades has mainly focused on the reasons why individuals and groups of individuals become sick-listed or take early retirement due to sickness and incapacity, but also on why the numbers have varied over time.^3–5

Less research has been published on the effects of SA or having been granted DP. However, there are a few studies on the short- or long-term effects of having been on different forms of social security support.^6,7 It has been shown that long periods of SA reduce the likelihood of returning to work and increase the risk of DP.^4,8–13 Andren¹⁴ found that SA is a strong predictor for exit from the labor market through full or partial DP, unemployment, or emigration. Although other factors such as age and educational level affect the risk of DP after long spells of SA, the length of SA remains an important factor.¹⁵ Wallman et al¹⁶ found that the number of annual days of SA had the best prognostic precision for DP compared with other predictors such as age, length of education, and geographical area. Several other studies have also found that previous SA increases the risk of long-term SA and DP.^11,17–21

Also, a number of studies have indicated that factors other than health are important in association with return-to-work (RTW) or DP.^7,22–26 Low socioeconomic position, exposures to physical, psychosocial, or organizational factors at work, and high age increased the risk of DP.²⁷

In Sweden, a correlation between the number of long-term SA cases and trends in numbers of new DPs has been reported.²⁸ Both DP and compensation for long-term SA are granted on the basis of reduction of work capacity due to a disease or an injury.²⁹ The individual’s social or labor market conditions are not formally assumed to affect the decision. For this reason, the assessment of medical conditions related to the individual’s work capacity is crucial. This is particularly important in relation to prolonged cases of SA and in deciding about permanent DP. However, in many cases of long-term SA the severity of the disease, its prognosis, and the rehabilitation potential of the individual are not well known by the Social Insurance Office (SIO). In the Swedish social security administration, different forms of intensified medical examinations are used to meet the need for a systematic assessment of health conditions, work capacity, and useful medical and vocational rehabilitation measures. The results of such examinations are assumed to improve the decision about whether the individual can RTW with or without rehabilitation measures. As DP is in most cases irreversible, it involves severe financial and social consequences for the individual and high costs for society.

Thus, the idea behind the SIO’s referral of an individual to a systematic multidisciplinary medical assessment (MMA) is to get better information about the individual’s health and work capacity. The primary assumption is that MMA provides a valid foundation for the insurance officials to decide on the sickness absentee’s right to benefits and need for further work-related rehabilitation. However, it is known that the MMA is in most cases conducted at a relatively late stage of an SA process and that a large number of individuals will not return to work after the MMA.^10,11,30 What is not known is the mobility between different forms of social security compensation that takes place after an MMA, and to what degree the selection in this mobility is primarily due to health conditions or to other factors such as age, education, or sex.

In a Danish study (page 300),²⁵ RTW was measured in terms of “whether one received public transfer income or not in a given time period” and some 7,800 individuals who had been on SA for more than 8 weeks were followed over 2–3 years (page 300). After one year, the majority had no public transfer income, and was thus assumed to have returned to work, and within 2 years almost 60% received no public transfer. After that there was no increase and about 40% remained in some form of public compensation. RTW decreased with increasing age, low education, low income, female sex, and immigrant status.

The present study describes how the use of different kinds of social security benefits has developed over a period of eleven years among long-term sickness absentees that have undergone an MMA. The individuals are followed five years before the MMA and five years after. The main aim was to investigate the number of days of different forms of social security compensation among long-term sickness absentees, five years before, during, and five years after MMA. Specific aims were to analyse the shifts in the number of days on social security benefits per person and year with respect to three forms of compensation: unemployment benefits, sickness benefits, and DP. Further objectives were to study differences in the average number of days for each form of compensation related to sex, age, education, country of birth, and diagnosis.

Methods

Participants and procedure

The study group consisted of persons on long-term SA who underwent an MMA at the Diagnostic Center (DC), Karolinska University Hospital, Stockholm, Sweden, from 1998 to 2007 (see earlier studies^31–33). At the MMA, all individuals completed a comprehensive questionnaire before medical examinations. The questionnaire included items about socio-demographics, social life, lifestyle, health, and symptoms. Each individual was examined on three different occasions within three weeks by three board-certified specialists in psychiatry, orthopedic surgery, and rehabilitation medicine, respectively. For each individual, the three specialists thereafter agreed on a joint statement with respect to diagnoses, level of work capacity, prognosis of return to work, and recommendation of medical and vocational rehabilitation measures. Most of the persons had been on SA for more than one year and had been referred to a MMA by the SIO. A total of 1,006 persons were examined over the period from 1998 to 2007, and the number of persons referred varied between 25 and 181 for the individual year.

Exclusion criteria

Persons who were entitled to old age pension when they turned 65 years of age (n = 14) or died (n = 20) during the follow-up period were excluded from the study group for the years post these events. Immigrants (n = 14) and emigrants (n = 10) were excluded for the years they were not resident in Sweden.

Study design

Figure 1 presents a description of the longitudinal study design. The persons were followed five years before, during, and five years after the year of the MMA. Information about the individuals was collected during the MMA. The follow-up data originate from databases from Statistics Sweden (LISA) and the Swedish Social Insurance Agency (MiDAS) about the annual numbers of days on different kinds of social security compensation for each individual during the period 1993–2008, linked to the study group. Individuals who underwent MMA after 2004 could not be followed during all five years. Thus the number of cases was reduced for each year after 2004 by 25, 144, 235, and 351.

Figure 1.

Design of the study. Number of years and participating individuals before (t-5 to t-1), during (t0), and after (t1 to t5) a multidisciplinary medical assessment at the diagnostic center.

Background variables

The background factors used were sex, age, education, country of birth, and diagnoses, categorized as follows: age categories (21–39, 40–49, 50–63 years), educational level (elementary, high school, university), country of birth (Sweden, other than Sweden), type of diagnosis (psychiatric, somatic, psychiatric and somatic, or none).

Outcome variables

• Unemployment benefits: number of days per person and year with unemployment compensation, labor market education, sheltered employment. Days with part-time compensation were added to make full days.

• Sickness benefits: number of days per person and year on sickness benefits, rehabilitation allowance, occupational injury allowance, preventive sick leave allowance, disease carrier’s allowance. Days on part-time compensation were added to make full days.

• Disability pension: number of days per person and year with permanent or temporary DP. Days on part-time compensation were added to make full days.

Statistical analyses

Descriptive statistics were used to illustrate how the average number of days on different kinds of social security benefits had developed. The data were computed in two steps. In the first step, a calculation was provided for the number of days per person and year on unemployment benefits, sickness benefits, and DP. This was done for each year over the eleven-year period, ie, five years before the MMA, during the MMA year, and five years after the MMA. The information was based on register data for the period 1993–2008. In the second step, differences in the average number of days per person and year were calculated with one-way analysis of variance (ANOVA) for each form of compensation related to sex, age, education, country of birth, and diagnosis (F-values and df were computed but not presented in Table 2). Also, cross-tabulation of sex by background variables was analyzed using the Chi-square test (Table 1). All P-values reported are statistically significant at the 5% level. Data were analysed using SPSS/PASW statistical programme package (version 17; SPSS Inc, Chicago, IL).

Table 2.

Number of days on disability pension, sickness benefits, and unemployment related to sex, age, education, country of birth, and diagnosis

Y	Sex			Age				Education				Country of birth			Diagnosis
	W	M	P	<39	<49	<63	P	E	H	U	P	O	SW	P	S	P	SP	P
Disability pension
t-5	24	15	0.062	17	26	17	0.150	23	18	19	0.634	16	24	0.124	17	24	22	0.548
t-4	32	20	0.038	24	36	21	0.045	32	23	27	0.396	24	31	0.194	25	32	29	0.657
t-3	42	28	0.027	37	44	29	0.139	40	36	34	0.733	34	39	0.414	31	40	40	0.434
t-2	63	51	0.124	52	72	49	0.015	61	63	47	0.239	54	61	0.348	51	54	66	0.184
t-1	83	72	0.216	67	96	70	0.009	81	84	70	0.445	77	80	0.775	65	72	92	0.026
t0	111	94	0.061	90	115	104	0.078	112	104	93	0.234	105	104	0.889	84	105	119	0.005
t1	192	187	0.596	151	192	218	<0.001	208	182	173	0.008	207	178	0.002	147	197	217	<0.001
t2	244	239	0.613	199	241	276	<0.001	263	233	223	0.001	267	224	<0.001	205	255	263	<0.001
t3	264	261	0.778	217	264	295	<0.001	279	256	246	0.015	284	248	<0.001	236	274	279	0.001
t4	268	265	0.715	230	269	295	<0.001	285	258	250	0.014	286	252	0.001	237	278	282	0.001
t5	277	264	0.268	232	276	301	<0.001	292	262	250	0.006	293	255	0.001	244	280	288	0.005
Sickness benefits
t-5	68	71	0.698	62	79	64	0.099	69	72	66	0.828	68	69	0.881	63	60	79	0.059
t-4	92	95	0.808	85	111	80	0.003	80	106	96	0.022	83	100	0.041	79	77	110	0.001
t-3	122	127	0.617	108	136	121	0.050	114	127	133	0.242	105	137	0.001	111	104	140	0.002
t-2	150	163	0.193	152	153	159	0.775	148	157	163	0.452	148	161	0.162	135	159	164	0.030
t-1	189	208	0.064	201	190	199	0.597	187	199	207	0.251	195	197	0.849	185	211	194	0.136
t0	211	230	0.053	225	215	215	0.656	213	218	226	0.582	223	214	0.339	227	226	208	0.176
t1	122	118	0.722	139	126	101	0.002	112	124	129	0.274	120	121	0.924	149	115	104	<0.001
t2	60	58	0.784	80	62	42	<0.001	54	64	64	0.383	55	63	0.316	76	55	47	0.005
t3	30	27	0.508	40	30	19	0.016	30	30	25	0.747	27	30	0.512	32	26	22	0.293
t4	19	14	0.273	17	24	9	0.016	17	19	14	0.734	15	18	0.529	22	12	15	0.285
t5	18	14	0.458	18	21	10	0.212	13	17	22	0.401	15	18	0.595	26	8	14	0.035
Unemployment benefits
t-5	57	80	0.003	78	75	48	0.002	61	73	63	0.338	73	61	0.093	60	75	65	0.343
t-4	52	70	0.019	62	70	45	0.009	60	62	52	0.503	69	51	0.014	60	68	53	0.226
t-3	49	64	0.036	51	70	41	0.002	55	56	51	0.846	72	42	<0.001	57	64	48	0.206
t-2	38	49	0.085	36	54	32	0.005	45	40	39	0.694	54	33	0.001	44	46	39	0.559
t-1	28	26	0.603	24	34	22	0.067	30	24	26	0.539	29	26	0.453	35	21	26	0.113
t0	16	16	0.982	12	19	15	0.361	18	13	16	0.533	14	17	0.495	20	13	14	0.321
t1	20	18	0.608	23	22	15	0.237	21	16	22	0.499	13	24	0.007	24	17	17	0.342
t2	18	24	0.167	23	28	11	0.004	20	18	24	0.584	15	24	0.046	25	15	21	0.283
t3	17	27	0.049	25	31	6	<0.001	15	24	24	0.213	19	21	0.726	24	20	18	0.578
t4	20	22	0.731	29	24	10	0.018	13	24	28	0.069	15	25	0.078	29	22	14	0.074
t5	21	15	0.282	27	24	6	0.008	12	27	18	0.074	12	24	0.049	35	13	10	0.001

Notes: The average per person per year, 5–1 years (Y) before (t-5 to t-1) multidisciplinary medical assessment (MMA), during (t0) and after MMA (t1 to t5), related to sex (W, women; M, men), age at MMA (<39 = 21–39, <49 = 40–49, <63 = 50–63), education (E, elementary; H, high school; U, university), country of birth (O, other than Sweden; SW, Sweden), diagnosis (S, somatic; P, psychiatric; SP, somatic and psychiatric); no diagnosis was assessed in 25 individuals. ANOVA, P-value. F-values, and df were computed but are not presented in the table. P-values in bold type indicate significant results.

Table 1.

Distribution of women and men by age, education, country of birth, and type of diagnosis at MMA (n = 1002)

	n	Men n = 370 %	Women n = 632 %	Total n = 1002 %	PChi2
Age					0.056 (ns)
21–39	261	22	29	26
40–49	381	39	38	38
50–63	360	39	34	36
Education					0.079 (ns)
Elementary	406	44	38	41
High school	352	31	38	35
University	244	25	24	24
Country of birth					0.153 (ns)
Sweden	573	54	59	57
Other than Sweden	428	46	41	43
Diagnosis					0.004*
Somatic	266	22	29	27
Psychiatric	244	29	22	24
Somatic + Psych	467	47	47	47
Nonea	25	3	2	3

Notes:

^aNo diagnosis was assessed in 25 cases and no P-value was computed;

^*Indicates significant results.

Abbreviations: MMA, multidisciplinary medical assessment; ns, not significant.

Ethics

The study was approved by the Regional Ethical Review Board in Stockholm, Sweden (1995-149, 2006/1281-31, 2008/71-31/5, 2008/1051-31/12, and 2010/448-32).

Results

Table 1 shows the distribution of women and men in the study population with respect to age, educational level, country of birth, and diagnostic category. All persons had been long-term sickness absent, all for at least one year.³¹ There was a significant difference between the type of diagnosis with respect to sex. However, there were no significant differences between the sexes with respect to age, education, or country of birth. Table 1 further shows that most persons had both a psychiatric and a somatic diagnosis.

Figure 2 shows the results of a cumulative description of how the average number of days on different kinds of social security benefits had developed during the period of eleven years. Five years before the MMA, about 208 days in a year were not compensated through SA, DP, or unemployment benefits. Five years after the MMA, the group had on average only 64 days without compensation. The average number of days on unemployment benefits decreased from 66 to 16 days per person and year until the time of the MAA, but after the MMA there was no change. The number of days on sickness benefits increased until the time of MMA from 69 to 218 days on average. After the MMA there was a rapid decrease in the number of days on sickness benefits, from 218 to 16 days on average. Before the MMA, the average number of days on DP was 21. Only one individual had a permanent DP before the MMA, but a few individuals had different forms of temporary DP. The average number of days on DP increased gradually after the MMA, from an average of 104 days in the first year, to an average of 272 days five years after the MMA. There is a general shift from high numbers of days on sickness compensation in the years before the MMA, to high numbers of days on DP after the MMA. Five years after the MMA, about 20% had returned to work. Fewer elderly persons, persons not born in Sweden, and persons with both somatic and psychiatric diagnoses returned to work compared to other groups.

Figure 2.

Number of benefit days based on the average value per person and year on unemployment benefit, sickness benefit, disability pension, 5 to 1 years before multidisciplinary medical assessment (MMA) (t-5 to t-1), and after MMA (t1 to t5) for individuals diagnosed in the period 1998–2007.

Table 2 presents the differences in average number of days on the three different types of social security benefits, with respect to sex, age, educational level, country of birth, and type of diagnosis over time. There were no significant differences between the sexes in relation to average days on sickness benefits, disability benefits, or unemployment benefits, neither before nor after the MMA. Age differences in the number of compensated days occurred more frequently, and were particularly pronounced for disability days after the MMA. A tendency towards fewer days on unemployment benefits before and after the MMA was also observed in the oldest age group (50–63 years). There were no significant differences between different levels of education and sickness benefit or unemployment benefits. However, it emerges from the data that individuals with a low level of education had significantly lower numbers of days on DP during the years after the MMA.

Table 2 also shows that there were no clear associations between the country of birth and sickness benefit, but individuals from countries other than Sweden had a significantly higher rate of number of days with DP after the MMA. Further, there were no significant differences between types of diagnosis in relation to average days on DP before the MMA, but there were significant differences between types of diagnosis after the MMA. There were no clear patterns in relation to sickness benefit before or after the MMA. As expected, individuals who had psychiatric diagnoses, as well as individuals with a combination of psychiatric and somatic diagnoses, also had on average a larger number of days on DP after the MMA.

Discussion

The study describes how the use of different kinds of social security benefits developed five years before and five years after MMA. The results show that the average number of days on DP increased rapidly after the MMA, and that the number of days on sickness benefits decreased concurrently. The average number of days on unemployment benefits decreased until the MMA, but remained constant after the MMA.

The results indicate that a referral of the SIO to an MMA did not improve the chances of RTW for large numbers of individuals. Furthermore, the results of this study illustrate that the selection between different forms of social security compensation that takes place after an MMA, and the degree to which it takes place, is partly due to background factors such as age, education, and country of birth, but also related to diagnosis. Age and country of birth are strongly associated with a higher number of days on disability benefits as older individuals and individuals born outside Sweden had a significantly higher number of benefits after MMA. Persons with psychiatric diagnoses as well as those with combinations of somatic and psychiatric diagnoses had a higher average number of days on DP. This may imply that modern working life is less adjustable to psychiatric disorders such as cognitive malfunctioning, phobias, anxieties, or unstable moods compared to somatic disabilities.^34,35 To some degree these psychiatric disorders may also have workplace-related grounds.^36–39

The results of this study confirm the findings of two previous Swedish studies of transition from SA to DP.^14,15 This is also in line with a Danish follow-up of long-term sick-listed individuals,²⁵ and is also in concordance with a recent review of factors affecting the risk of DP.²⁷ However, the fact that conducting an MMA does reduce the numbers who were granted DP and stability in the distribution of factors affecting such as a decision has not previously been studied.

It should be noted, however, that the present study is not a controlled clinical trial. Generally, a high proportion of individuals who have been long-term sickness absent stand a high risk for DP. Conducting MMA earlier during a sick-leave spell might lead to more adequate interventions, promoting RTW.

Methodological considerations

The strength of this study was its longitudinal design, and that the MMAs were carried out in the same manner for all persons. There was also good quality of register data over 16 years (1993–2008) and few missing cases over these years. However, the study has some limitations: with regard to referral of individuals from the SIO, the selection process might have changed over the years (1998–2007), or might differ between SIO officials, and the criteria for SIO selection are unknown.³¹ Some variables that can impact on the selection process are probably health status, education, economic and labor market situation of the individual, and changes in the insurance system. Not all of the individuals included in this study (n = 1002) could be followed up for a full 5-year period. A total of 39% were lost to follow-up in the fifth year due to a short follow-up period (36%), due to death (2%), or emigration (1%).

Conclusion

The study shows that after a multidisciplinary medical assessment, there was a rapid increase in DP and a corresponding dramatic decrease in sickness benefits. The fact that the multidisciplinary medical assessment was conducted at a late stage of the process of sickness absence seems to lead to a decision to grant DP in a large number of cases. This may be connected with a number of factors such as deterioration of health, labor market difficulties, or lack of efficient vocational rehabilitation. Those factors need to be further researched.