Predictors of functional improvement and future work status after the disability benefit claim: a prospective cohort study.

OBJECTIVE: In most industrialized countries, disability benefit rates have increased substantially in the past decade. Few beneficiaries return into employment once disability benefit is awarded. The present study aims to investigate which factors predict functional improvement and future work status among persons claiming disability benefit after having been on long-term sickness leave. METHODS: Prospective cohort study with 1 year follow-up among disability claimants (n = 375; response rate: 24.3 %) conducted in the Netherlands (October 2008-April 2011). Logistic regression was used to analyze associations between predictors [demographics; outcomes of the 12-item General Health Questionnaire (GHQ-12); 10-item Kessler Psychological Distress scale; Alcohol Use Disorders Identification Test; Trimbos/iMTA questionnaire for Costs associated with Psychiatric Illness; Utrecht Coping List; Social Support Questionnaire for Transactions and Satisfaction; certified International Classification of Diseases 10th edition (ICD-10) diagnosis; loss of earning capacity (LEC)] and outcomes [functional improvement on the World Health Organization Disability Schedule 2.0 (WHODAS 2.0) exceeding the standard error of measurement; work status at follow-up]. RESULTS: Functional improvement on total WHODAS was reported by 84 (31.9 % of 263 claimants included in analysis). Of those not having work at baseline (n = 338), 34 (9.1 %) respondents had paid work 1 year later. Predictors of functional improvement: GHQ-12 sum score >20 [odds ratios (OR) 2.9; 95 % confidence intervals (CI) 1.54-5.34]; of future work status: work status at baseline (OR 16.8; 95 % CI 6.55-43.14), LEC < 80 % (OR 4.6; 95 % CI 1.87-11.42), contact with a medical specialist (OR 0.4; 95 % CI 0.19-0.87). CONCLUSIONS: Only a limited number of factors were found to significantly predict functional improvement and return to paid work after the disability benefit claim, having paid work at baseline being by far the most important factor.

Predicting improvement of functioning in disability claimants.

PURPOSE: In the Netherlands, disability claimants are assessed after 2 years of sick leave, but their functioning may still improve. An accurate prognosis of functioning is difficult. Self predictions may be more accurate than those of professionals. The aim of this study, is to assess and compare the accuracy of predictions by disability claimants and insurance physicians (IPs) working at the Social Security Institute. It is further studied whether the accuracy differs between subgroups of claimants with mental or somatic health conditions. METHODS: We used data from the prospective cohort study cohort study. Following the assessment of the disability claim (n = 375) and after 1 year follow up (T1, n = 276) data on functioning were obtained from respondents by self-report questionnaire World Health Organization Disability Schedule 2.0. Both claimants and IPs were asked to predict improvement of functioning. Accuracy of their predictions were assessed by sensitivity, specificity, and area under the receiver operating curves (AUC). Mixed logistic regression was conducted to explore differences in accuracy between claimants with mental and somatic conditions. RESULTS: One-third (32 %) of disability claimants improved beyond the standard error of measurement. Disability claimants' and IPs were able to predict this improvement of functioning, but to a limited extent, with an AUC of 0.61 for IPs and 0.62 for disability claimants. We found no statistically significant differences in the accuracy of the predictions in claimants with mental or somatic health conditions. CONCLUSIONS: Improvements of functioning were not uncommon. However, both IPs and disability claimants were unable to predict improvement with high levels of accuracy in both mental and somatic health conditions.

Prognostic factors of long term disability due to mental disorders: a systematic review.

INTRODUCTION In the past few decades, mental health problems have increasingly contributed to sickness absence and long-term disability. However, little is known about prognostic factors of return to work (RTW) and disability of persons already on sick leave due to mental health problems. Understanding these factors may help to develop effective prevention and intervention strategies to shorten the duration of disability and facilitate RTW. METHOD We reviewed systematically current scientific evidence about prognostic factors for mental health related long term disability, RTW and symptom recovery. Searching PubMed, PsycINFO, Embase, Cinahl and Business Source Premier, we selected articles with a publication date from January 1990 to March 2009, describing longitudinal cohort studies with a follow-up period of at least 1 year. Participants were persons on sick leave or receiving disability benefit at baseline. We assessed the methodological quality of included studies using an established criteria list. Consistent findings in at least two high quality studies were defined as strong evidence and positive findings in one high quality study were defined as limited evidence. RESULTS Out of 796 studies, we included seven articles, all of high methodological quality describing a range of prognostic factors, according to the ICF-model categorized as health-related, personal and external factors. We found strong evidence that older age (>50 years) is associated with continuing disability and longer time to RTW. There is limited evidence for the association of other personal factors (gender, education, history of previous sickness absence, negative recovery expectation, socio-economic status), health related (stress-related and shoulder/back pain, depression/anxiety disorder) and external i.e., job-related factors (unemployment, quality and continuity of occupational care, supervisor behavior) with disability and RTW. We found limited evidence for the association of personal/external factors (education, sole breadwinner, partial/full RTW, changing work tasks) with symptom recovery. CONCLUSION This systematic review identifies a number of prognostic factors, some more or less consistent with findings in related literature (mental health factors, age, history of previous sickness absence, negative recovery expectation, socio-economic status, unemployment, quality and continuity of occupational care), while other prognostic factors (gender, level of education, sole breadwinner, supervisor support) conflict with existing evidence. There is still great need for research on modifiable prognostic factors of continuing disability and RTW among benefit claimants with mental health problems. Recommendations are made as to directions and methodological quality of further research, i.e., prognostic cohort studies.

High prevalence of early onset mental disorders among long-term disability claimants.

PURPOSE: To provide information on prevalence, comorbidity, age-of-onset and severity of mental disorders among persons claiming disability after long-term sickness absence. METHOD: Cross-sectional analysis of a cohort of Dutch disability claimants (n = 346). Composite International Diagnostic Interview (CIDI) 3.0 was used to generate DSM-IV classifications of mental disorder, age-of-onset and severity; registry data were used on demographics and ICD-10 classifications of somatic disorder. RESULTS: The mean age of respondents was 49.8 (range 22-64). The most prevalent broad categories of mental disorders were mood and anxiety disorder with a 12-month prevalence of 28.6% and 32.9%, respectively. Mood and most anxiety disorders had ages of onset in adolescence and early adulthood. The phobias start at school age. Of all respondents, 33.7% had ≥1 12-month mental disorder. Co-occurrence of substance use disorders, phobias and depression/anxiety disorders is frequent. Urogenital and gastrointestinal diseases, and cancer coincide with 12-month mental disorder in 66.7%, 53.9% and 51.7% of cases, respectively. More than two out of three specific mental disorders are serious in terms of disability and days out of working role. CONCLUSIONS: Disability claimants constitute a vulnerable population with a high prevalence of serious mental disorder, substantial comorbidity and ages-of-onset in early working careers. More research is needed to help prevent long-term sickness absence and disability of claimants with mental health problems. IMPLICATIONS FOR REHABILITATION: This study shows common mental disorders, such as mood and anxiety disorders, to be highly prevalent among persons claiming disability benefit after long-term sickness absence, to have early onsets and to often co-occur with somatic disorders. Professionals in primary and occupational health care should assess need for treatment of workers at risk, while at the same time being careful not to medicalize normal life problems. Insurance physicians assessing disability benefit claims should identify factors that caused claimants to call in sick and start interventions to promote return to work.

Development and validation of the Diagnostic Interview Adjustment Disorder (DIAD).

Adjustment disorders (ADs) are under-researched due to the absence of a reliable and valid diagnostic tool. This paper describes the development and content/construct validation of a fully structured interview for the diagnosis of AD, the Diagnostic Interview Adjustment Disorder (DIAD). We developed the DIAD by partly adjusting and operationalizing DSM-IV criteria. Eleven experts were consulted on the content of the DIAD. In addition, the DIAD was administered by trained lay interviewers to a representative sample of disability claimants (n = 323). To assess construct validity of the DIAD, we explored the associations between the AD classification by the DIAD and summary scores of the Kessler Psychological Distress 10-item Scale (K10) and the World Health Organization Disability Assessment Schedule (WHODAS) by linear regression. Expert agreement on content of the DIAD was moderate to good. The prevalence of AD using the DIAD with revised criteria for the diagnosis AD was 7.4%. The associations of AD by the DIAD with average sum scores on the K10 and the WHODAS supported construct validity of the DIAD. The results provide a first indication that the DIAD is a valid instrument to diagnose AD. Further studies on reliability and on other aspects of validity are needed.