Jens Ivar Larsen

Measures of the recovery orientation of mental health services: systematic review

PurposeThe review aimed to (1) identify measures that assess the recovery orientation of services; (2) discuss how these measures have conceptualised recovery, and (3) characterise their psychometric properties.MethodsA systematic review was undertaken using seven sources. The conceptualisation of recovery within each measure was investigated by rating items against a conceptual framework of recovery comprising five recovery processes: connectedness; hope and optimism; identity; meaning and purpose; and empowerment. Psychometric properties of measures were evaluated using quality criteria.ResultsThirteen recovery orientation measures were identified, of which six met eligibility criteria. No measure was a good fit with the conceptual framework. No measure had undergone extensive psychometric testing and none had data on test–retest reliability or sensitivity to change.ConclusionsMany measures have been developed to assess the recovery orientation of services. Comparisons between the measures were hampered by the different conceptualisations of recovery used and by the lack of uniformity on the level of organisation at which services were assessed. This situation makes it a challenge for services and researchers to make an informed choice on which measure to use. Further work is needed to produce measures with a transparent conceptual underpinning and demonstrated psychometric properties.

Physical illness in psychiatric inpatients: Comparison of patients with and without substance use disorders

Background: Physical comorbidities and substance use are commonly reported in patients with mental disorders. Aim: To examine somatic comorbidity in patients with substance use disorders (SUD) compared to patients with mental disorders but no SUD. Methods: Lifetime prevalence data on mental and physical health status were collected from inpatients in 12 mental health care facilities in five different countries. Differences in somatic comorbidity were examined by means of logistic regression analysis controlling for age and gender. Results: Of 2,338 patients, 447 (19%) had a primary or secondary SUD diagnosis. In comparison to patients with other mental disorders, patients with SUD had a higher prevalence of infectious and digestive diseases but a lower prevalence of endocrine, nutritional and metabolic disorders. Patterns of physical comorbidities differed according to type of substance used (alcohol use – cardiovascular; tobacco use – respiratory, neoplasms; cannabinoid use – injuries; opioid use – infectious, digestive; benzodiazepine use – endocrine, nutritional, metabolic; stimulants – urogenital). Conclusions: SUD are related to specific somatic health risks while some of our findings point to potentially protective effects. The widespread prescription of benzodiazepines requires research on physical health effects. Early detection of SUD and their integration into programmes targeting physical comorbidity should be a priority in organizing mental health care.

The gap between available knowledge and its use in clinical psychiatry

The time span between knowledge becoming available and its integration into daily clinical routine is lengthy. This phenomenon is explored in this study.

Cultural diversity in physical diseases among patients with mental illnesses

Objective: People with psychiatric diseases have a severely increased risk for physical morbidity and premature death from physical diseases. The aims of the study were to investigate the occurrence of cardiovascular diseases (CVD), diabetes (DM) and obesity in schizophrenia and depression in three different geographical areas – Asia (Japan), Africa (Nigeria) and Western Europe (Switzerland, Germany and Denmark) – and to search for possible transcultural differences in these correlations, which would also reflect the differences between low-income areas in Africa (Nigeria) and high-income areas in Europe and Japan. Method: Patients with International Classification of Diseases (ICD-10) F2 diseases (schizophrenia spectrum disorders) and F3 diseases (affective disorders) admitted to one Nigerian, one Japanese, two Swiss, two German and six Danish centres during 1 year were included. Physical diseases in accordance with ICD-10 were also registered. Psychiatric and physical comorbidity were calculated and standardized rate ratio incidences of background populations were our primary measures. Results: Incidence rate ratios were increased for both CVD, DM and overweight in both F2 and F3 in all cultures (Western Europe, Nigeria and Japan) within the same ranges (however, the Japanese results should be interpreted conservatively owing to the limited sample size). Overweight among the mentally ill were marked in Nigeria. A parallelism of the incidence of overweight, CVD and diabetes with the occurrence in background populations was seen and was most marked in overweight. Conclusions: Overweight, CVD and DM were increased in schizophrenia spectrum disorders and affective disorders in all three cultures investigated (Western Europe, Nigeria and Japan). Lifestyle diseases were also seen in Nigeria and Japan. The results from this study indicate that cultural background might be seen as an important factor in dealing with lifestyle diseases among people with a severe mental illness, as it is in the general population.

Clinical and psychometric validation of the psychotic depression assessment scale

BACKGROUND Recent studies have indicated that the 11-item Psychotic Depression Assessment Scale (PDAS), consisting of the 6-item melancholia subscale (HAM-D6) of the Hamilton Depression Rating Scale and 5 psychosis items from the Brief Psychiatric Rating Scale (BPRS), is a valid measure for the severity of psychotic depression. The aim of this study was to subject the PDAS, and its depression (HAM-D6) and psychosis (BPRS5) subscales to further validation. METHODS Patients diagnosed with psychotic depression at Danish psychiatric hospitals participated in semi-structured interviews. Video recordings of these interviews were assessed by two experienced psychiatrists (global severity rating of psychotic depression, depressive symptoms and psychotic symptoms) and by two young physicians (rating on 27 symptom items, including the 11 PDAS items). The clinical validity and responsiveness of the PDAS and its subscales was investigated by Spearman correlation analysis of the global severity ratings and the PDAS, HAM-D6, and BPRS5 total scores. The unidimensionality of the scales was tested by item response theory analysis (Mokken). RESULTS Ratings from 39 participants with unipolar psychotic depression and nine participants with bipolar psychotic depression were included in the analysis. The Spearman correlation analysis indicated that the PDAS, HAM-D6 and BPRS5 were clinically valid (correlation coefficients from 0.78 to 0.85, p<0.001) and responsive (correlation coefficients from 0.72 to 0.86, p<0.001) measures of psychotic depression. According to the Mokken analysis, all three scales were unidimensional. CONCLUSIONS The clinical validity, responsiveness and unidimensionality of the PDAS and its subscales were confirmed in an independent sample of patients with psychotic depression.

Where are patients who have co-occurring mental and physical diseases located?

Background: Patients with a psychiatric illness have a higher prevalence of physical diseases and thus a higher morbidity and mortality. Aim: The main aim was to investigate where patients with co-occurring physical diseases and mental disorders (psychotic spectrum or mood) in the health and social service system are identified most frequently before admission into psychiatry. The second aim was to compare the differences in the treatment routes taken by the patients before entry into psychiatric services in all the participating countries (Denmark, Germany, Japan, Nigeria and Switzerland). Methodology: On admission to a psychiatric service, patients diagnosed with schizophrenia, schizotypal or delusional disorders (International Classification of Diseases-10 (ICD-10) group F2) or mood (affective) disorders (ICD-10 group F3) and a co-morbid physical condition (cardiovascular disease, diabetes mellitus and overweight) were asked with which institutions or persons they had been in contact with in the previous 6 months. Results: Patients from Denmark, Germany and Switzerland with mental disorders had almost the same contact pattern. Their primary contact was to public or private psychiatry, with a contact percentage of 46%–91%; in addition, general practice was a common contact, with a margin of 41%–93%. Similar tendencies are seen in Japan despite the small sample size. With regard to general practice, this is also the case with Nigerian patients. However, religious guidance or healing was rarely sought by patients in Europe and Japan, while in Nigeria about 80% of patients with mental disorders had contacted this type of service. Conclusion: Promoting prophylactic work between psychiatry and the general practice sector may be beneficial in diminishing physical conditions such as cardiovascular disease, diabetes mellitus and overweight in patients with mental disorders in European countries and Japan. In Nigeria (a low-to-middle-income country), religious guides or healers, along with general practitioners, are the most frequently contacted, and they therefore seem to be the most obvious partner to collaborate with.

Decreased retinal sensitivity in depressive disorder: a controlled study

To compare pupil responses in depressed patients with a seasonal pattern, depressed patients without a seasonal pattern and healthy controls as a function of daylight hours on the testing day.

Helping Alliance and Unmet Needs in Routine Care of People With Severe Mental Illness Across Europe: A Prospective Longitudinal Multicenter Study

Abstract The helping alliance (HA) refers to the collaborative bond between patient and therapist, including shared goals and tasks. People with severe mental illness have a complex mixture of clinical and social needs. Using mixed-effects regression, this study examined in 588 people with severe mental illness whether an increase in the HA is associated with fewer unmet needs over time, and whether change in the HA precedes change in unmet needs. It was found that a reduction in unmet needs was slower in patients with higher HA (B = 0.04, p < 0.0001) only for patient-rated measures. Improvement in both patient-rated and staff-rated HA over time was associated with fewer subsequent patient-rated (B = −0.10, p < 0.0001) and staff-rated (B = −0.08, p = 0.0175) unmet needs. With positive changes in the HA preceding fewer unmet needs, findings provide further evidence for a causal relationship between alliance and outcome in the treatment of people with severe mental illness.

A cross-continental analysis of weight gain, psychiatric diagnoses and medication use during inpatient psychiatric treatment. The international study on physical illness in mentally ill

Weight gain among psychiatric inpatients is a widespread phenomenon. This change in body mass index (BMI) can be caused by several factors. Based on recent research, we assume the following factors are related to weight gain during psychiatric inpatient treatment: psychiatric medication, psychiatric diagnosis, sex, age, weight on admission and geographic region of treatment. 876 of originally recruited 2328 patients met the criteria for our analysis. Patients were recruited and examined in mental health care centres in Nigeria (N = 265), Japan (N = 145) and Western-Europe (Denmark, Germany and Switzerland; N = 466). There was a significant effect of psychiatric medication, psychiatric diagnoses and geographic region, but not age and sex, on BMI changes. Geographic region had a significant effect on BMI change, with Nigerian patients gaining significantly more weight than Japanese and Western European patients. Moreover, geographic region influenced the type of psychiatric medication prescribed and the psychiatric diagnoses. The diagnoses and psychiatric medication prescribed had a significant effect on BMI change. In conclusion, we consider weight gain as a multifactorial phenomenon that is influenced by several factors. One can discuss a number of explanations for our findings, such as different clinical practices in the geographical regions (prescribing or admission strategies and access-to-care aspects), as well as socio-economic and cultural differences.

Erratum to: Courses of helping alliance in the treatment of people with severe mental illness in Europe

Purpose The helping alliance (HA) between patient and therapist has been studied in detail in psychotherapy research, but less is known about the HA in long-term community mental health care. The aim of this study was to identify typical courses of the HA and their predictors in a sample of people with severe mental illness across Europe over a measurement period of one year.