[Assement of incapacity to work and the Mini-ICF-APP]

Digitally Assisted Standard Diagnostics in Insurance Medicine (DASDIM): psychometric data in psychiatric work disability evaluations

PURPOSE

Insurers often commission psychiatric experts to evaluate the eligibility of workers with mental disorders for disability benefits, by estimating their residual work capacity (RWC). We investigated the validity of a standardized, computer-based battery of established diagnostic instruments, for evaluating the personality, cognition, performance, symptom burden, and symptom validity of claimants.

METHODS

One hundred and fifty-three claimants for benefits were assessed by the assembled test battery, which was applied in addition to a conventional clinical work disability evaluation.

RESULTS

A principal component analysis of the test and questionnaire battery data revealed six factors (Negative Affectivity, Self-Perceived Work Ability, Behavioral Dysfunction, Working Memory, Cognitive Processing Speed, and Excessive Work Commitment). Claimants with low, medium, and high RWC exclusively varied in the factor Negative Affectivity. Importantly, this factor also showed a strong association to psychiatric ratings of capacity limitations in psychosocial functioning.

CONCLUSIONS

The findings demonstrate that the used test battery allows a substantiation of RWC estimates and of psychiatric ratings by objective and standardized data. If routinely incorporated in work disability evaluations, the test battery could increase their transparency for all stakeholders (insurers, claimants, medical experts, expert case-coordinators, and legal practitioners) and would open new avenues for research in the field of insurance medicine.Implications for rehabilitationThe residual work capacity (RWC) estimation by medical experts is internationally good practice, but plagued by a relatively low interrater agreement.The current study shows that psychiatric RWC estimates and capacity limitation ratings can be substantiated by data from objective, standardized psychometric instruments.Systematically using such instruments might help to improve the poor interrater agreement for RWC estimates in work disability evaluations.Such data could also be used for adopting vocational trainings and return-to-work programs to the individual needs of workers with mental health problems.

Utility and validity of the Brief Psychiatric Rating Scale (BPRS) as a transdiagnostic scale

The Brief Psychiatric Rating Scale (BPRS) was originally conceived to assess psychopathology in several psychiatric disorders, making it an appropriate candidate to be used as a transdiagnostic instrument. We analyzed the utility and validity of the BPRS in a diagnostically heterogeneous sample of 600 psychiatric inpatients. As a comparator, we chose the mini-ICF-APP, a scale used to measure functioning and impairment across the diagnostic spectrum. Both scales had good internal consistency. The BPRS and the mini-ICF-APP showed a moderate correlation, with good levels of agreement. We were able to identify general symptoms present across the diagnostic spectrum, influencing severity and a cluster of symptoms specific for each diagnosis. Our results show the utility and validity of the BPRS as a transdiagnostic assessment tool that could easily be introduced in routine clinical work.

One-year follow-up of functional impairment in inpatients with mood and anxiety disorders - Potentials of the Mini-ICF-APP

BACKGROUND

The aim of the study was to investigate functional impairment and its relationship to illness severity in a sample of patients with a diagnosis of mood or anxiety disorder during inpatient treatment and 1 year after discharge.

METHODS

Two hundred thirty-nine inpatients with primary diagnoses of mood or anxiety disorders were assessed at baseline and at follow-up by a range of validated instruments. Mini-ICF-APP was used for the assessment of functional impairment, BDI-II for the assessment of clinical symptoms and remission. Sample characteristics and measures of impairment at baseline and at follow-up were analysed descriptively. Symptomatically remitted and non-remitted patients were compared with regard to capacity limitations.

RESULTS

Initially, the sample showed considerable impairment in many capacities, particularly endurance, spontaneous activities, structuring of tasks, competency and flexibility. After 1 year, all capacities significantly improved. The level of impairment was correlated with employment status and severity of clinical symptoms. About 50% of the patients remitted in clinical symptomatology. Retrospectively, the remitted and the unremitted did not differ in functional impairment at baseline but there were considerable differences at follow-up.

CONCLUSIONS

Mini-ICF-APP is a useful instrument to monitor functional status and change in psychiatric samples, complementing the usual focus on symptom reduction.

Exploring the factor structure of the mini-ICF-APP in an inpatient clinical sample, according to the psychiatric diagnosis

INTRODUCTION

Psychosocial functioning is a key factor determining prognosis, severity, impairment and quality of life in people who have a mental disorder. The mini-ICF-APP was developed to provide a standardised classification of functioning and disability. However, despite its gaining popularity little is known about its structure and performance. This paper examines the structure of the mini-ICF-APP using factor analysis techniques.

MATERIALS AND METHODS

In a clinical sample of 3178 patients, with psychiatric diagnoses from several ICD-10 categories, we analysed internal consistency, item inter-correlations and the factorial structure of the data, with reference to ICD-10 diagnostic categories; Neurocognitive Disorders; Alcohol Use Disorders; Substance Use Disorders; Schizophrenia and Psychotic Disorders; Bipolar Disorder; Major Depressive Disorder; Anxiety Disorders; Personality Disorders; and Neurodevelopmental Disorders.

RESULTS

We found good internal consistency and item inter-correlations (Cronbach alpha=0.92) for the mini-ICF-APP. We were able to identify pivotal domains (flexibility, assertiveness and intimate relationships), which demonstrate sub-threshold influences on other domains. The factor analysis yielded a one-factor model as ideal for the whole sample and for all diagnostic categories. For some diagnostic categories the data suggested a two or three-factor model, however, with poorer fit indices.

CONCLUSIONS

The factor structure of the mini-ICF-APP appears to modify according to the main diagnosis. However, a one-factor model demonstrates better fit regardless of diagnostic category. Consequently, we consider the mini-ICF-APP to be a trans-diagnostic measurement instrument for the assessment and grading of psychosocial functioning. The use of the mini-ICF-APP sum score seems to best reflect the degree of impairment in an individual, even taking into account that affected domains may lead to sub-threshold effects on other domains.

The assessment of capacity limitations in psychiatric work disability evaluations by the social functioning scale Mini-ICF-APP

OBJECTIVE

Insurers frequently commission medical experts to estimate the degree of the remaining work capacity (RWC) in claimants for disability benefits. The social functioning scale Mini-ICF-APP allows for a rating of activity and participation limitations in thirteen capacity domains, considered as particularly relevant for work ability. The current study sought to evaluate the role of the Mini-ICF-APP ratings in psychiatric work disability evaluations, by examining how the capacity limitation ratings varied with the claimants' primary psychiatric diagnoses and how the ratings were related to RWC estimates.

METHODS

Medical experts estimated the RWC of 946 claimants with mental disorders and rated their activity and participation limitations using the Mini-ICF-APP, with higher ratings reflecting more severe limitations. The ratings were compared between claimants with different psychiatric diagnoses by analyses of variance. The mean Mini-ICF-APP rating across all capacity domains as well as all capacity-specific ratings were entered in simple or multiple regression models to predict the RWC in an alternative job.

RESULTS

The Mini-ICF-APP capacity limitation ratings in all domains but mobility were higher for claimants with personality and behavior disorders as compared to those with mood disorders or with neurotic, stress-related and somatoform disorders. The largest differences were observed in social capacities (e.g. group integration: F _{2, 847} = 78.300, P < 0.001). In claimants with depression, all ratings increased with the severity of the diagnosis (all Fs _{2, 203} > 16.393, all Ps < 0.001). In the overall sample, the mean Mini-ICF-APP rating showed a strong negative correlation with the estimated RWC (r = -.720, P < 0.001). Adding the capacity-specific ratings to the prediction model improved this prediction only marginally.

DISCUSSION

The Mini-ICF-APP allows for documenting claimants' activity and participation limitations, which is likely to increase the transparency of medical experts' RWC estimates and enables them to check the plausibility of such estimates. However, our study showed that despite the strong association between RWC and Mini-ICF-APP ratings, half of the RWC variance was unrelated to the capacity limitations documented in the Mini-ICF-APP.

Exploring the factor structure of the mini-ICF-APP in an inpatient clinical sample, according to the psychiatric diagnosis

INTRODUCTION

Psychosocial functioning is a key factor determining prognosis, severity, impairment and quality of life in people who have a mental disorder. The mini-ICF-APP was developed to provide a standardised classification of functioning and disability. However, despite its gaining popularity little is known about its structure and performance. This paper examines the structure of the mini-ICF-APP using factor analysis techniques.

MATERIALS AND METHODS

In a clinical sample of 3178 patients, with psychiatric diagnoses from several ICD-10 categories, we analysed internal consistency, item inter-correlations and the factorial structure of the data, with reference to ICD-10 diagnostic categories; Neurocognitive Disorders; Alcohol Use Disorders; Substance Use Disorders; Schizophrenia and Psychotic Disorders; Bipolar Disorder; Major Depressive Disorder; Anxiety Disorders; Personality Disorders; and Neurodevelopmental Disorders.

RESULTS

We found good internal consistency and item inter-correlations (Cronbach alpha=0.92) for the mini-ICF-APP. We were able to identify pivotal domains (flexibility, assertiveness and intimate relationships), which demonstrate sub-threshold influences on other domains. The factor analysis yielded a one-factor model as ideal for the whole sample and for all diagnostic categories. For some diagnostic categories the data suggested a two or three-factor model, however, with poorer fit indices.

CONCLUSIONS

The factor structure of the mini-ICF-APP appears to modify according to the main diagnosis. However, a one-factor model demonstrates better fit regardless of diagnostic category. Consequently, we consider the mini-ICF-APP to be a trans-diagnostic measurement instrument for the assessment and grading of psychosocial functioning. The use of the mini-ICF-APP sum score seems to best reflect the degree of impairment in an individual, even taking into account that affected domains may lead to sub-threshold effects on other domains.

Assessing the severity of functional impairment of psychiatric disorders: equipercentile linking the mini-ICF-APP and CGI

Background

The assessment of functioning and impairment due to psychiatric illness has been acknowledged to be crucial for research and practice. This led to the development of the mini-ICF-APP, which provides a reliable and time-efficient measure of functioning and impairment. Although its use is increasing, it remains unclear how it reflects severity and how change might be interpreted from a clinical perspective.

Methods

In a clinical sample of 3067 individuals hospitalized for mental health treatment, we used an equipercentile approach to link the mini-ICF-APP with the Clinical Global Impression scale (CGI) at admission and discharge. We linked the mini-ICF-APP sum score to the CGI-S scale and the mini-ICF-APP proportional change between admission and discharge to the CGI-I scale.

Results

The mini-ICF-APP and CGI scales showed a Spearman correlation of 0.50 (p < .000). CGI-S: “borderline-ill” corresponded to a mini-ICF-APP score 1–2; “mildly-ill” to 3–7; “moderately-ill” to 8–15; “markedly-ill” to 16–24; “severely-ill” to 25–37; and “extremely-ill” to a score ≥ 38. The Spearman correlation between the percentage change of mini-ICF-APP sum score and the CGI-I was 0.32 (p > .000); “no-change” in the CGI-I corresponded to an increase or decrease of 2%; “minimally-improved” to a mini-ICF-APP reduction of 3–30%; “much-improved” to a reduction of 31–63%; “very-much-improved” to a reduction of ≥64% “minimally-worse” to an increase of 3–34% “much-worse” to an increase of 35–67%; and finally “very-much-worse” with an increase of ≥68%.

Conclusions

Our findings improve understanding of the clinical meaning of the mini-ICF-APP sum score and percentage change in patients hospitalized for treatment.

Factors Associated with Length of Stay in a Swiss Mental Hospital

The aim of this study was to identify factors which are associated with the length of stay in a Swiss mental hospital. Demographical and clinical data of all patients who were admitted to the adult inpatient psychiatric service of the Federal State of Aargau in 2016 were examined regarding their association with the length of stay. The study sample included N = 1479 patients. Mean length of stay was 33 days and the median equalled 26 days. Higher age and a primary diagnosis of psychotic or affective disorder were associated with increased length of stay. In contrast, foreign nationality and compulsory admission were associated with reduced length of stay. While some of our findings were in line with recent findings from Italy and the United Kingdom, others could not be replicated.