Kaj Sparle Christensen

Mental disorders in primary care: prevalence and co-morbidity among disorders. results from the functional illness in primary care (FIP) study.

BACKGROUND Prevalence and co-occurrence of mental disorders is high among patients consulting their family general practitioner (GP) for a new health problem, but data on diagnostics and socio-demographics are sketchy. METHOD A cross-sectional two-phase epidemiological study. A total of 1785 consecutive patients with new complaints, aged 18-65 years, consulting 28 family practices during March-April 2000 in Aarhus County, Denmark were screened, in the waiting room, for mental and somatic symptoms with SCL-8 and SCL-Somatization questionnaires, for illness worry with Whitely-7 and for alcohol dependency with CAGE. In a stratified random sample of 701 patients, physician interviewers established ICD-10 diagnoses using the SCAN interview. Prevalence was calculated using weighted logistic regression, thus correcting for sample skewness. RESULTS Half of the patients fulfilled criteria for an ICD-10 mental disorders and a third of these for more than one group of disorders. Women had higher prevalence of somatization disorder and overall mental disorders than men. Men had higher prevalence of alcohol abuse and hypochondriasis than women. Psychiatric morbidity tended to increase with age. Prevalence of somatoform disorders was 35.9% (95% CI 30.4-41.9), anxiety disorders 164% (95% CI 12.7-20.9), mood disorders 13.5% (95% CI 11.1-16.3), organic mental disorders 3.1% (95% CI 1.6-5.7) and alcohol abuse 2.2% (95% CI 1.5-3.1). Co-morbidities between these groups were highest for anxiety disorders, where 89% also had another mental diagnosis, and lowest for somatoform disorders with 39%. CONCLUSIONS ICD-10 mental disorders are very prevalent in primary care and there is a high co-occurrence between most disorders. Somatoform disorders, however, more often than not exist without other mental disorders.

The patients' illness perceptions and the use of primary health care.

Objective: To investigate if primary care patients’ perceptions of a current health problem were associated with use of health care. Method: One thousand seven hundred eighty-five patients presenting a new health problem to 1 of 38 physicians from 28 general practices in Aarhus County, Denmark. Patients completed a questionnaire on their illness perceptions and emotional distress before the consultation. The physicians completed a questionnaire for each patient on diagnostics and prognostics. Register data on primary health care utilization 3 years before and 2 years after baseline were obtained. Odds ratios were estimated to examine associations between previous health care use and illness perceptions. Linear regression analysis was performed to examine if illness perceptions predicted later health care use. Results: Previous use: Higher use was associated with psychosocial, stress, and lifestyle attributions. Accident/chance attributions were associated with higher use for patients with a chronic disorder but with lower use for patients without a chronic disorder. A strong illness identity (number of self-reported symptoms), illness worry, a long timeline perspective, a belief that the symptoms would have serious consequences, and all emotional distress variables were associated with higher use. Use during follow-up: Infection/lowered immunity attributions were associated with higher use for patients with a chronic disorder, whereas psychosocial and lifestyle attributions were associated with higher use for all patients. Illness worry and all emotional distress variables predicted higher health care use. A strong illness identity, a long timeline perspective, a belief in serious consequences, and stress and accident/chance attributions were among the strongest predictors of health care use in a multivariate model including all variables. Conclusions: Patients’ perceptions of a current health problem are associated with health care use and may offer an obvious starting point for a biopsychosocial approach in primary care. CI = confidence interval; IPQ = Illness Perception Questionnaire; IR = interquartile range; SCL-SOM = the Symptom Check List-Somatization Subscale; DKK = Danish Kroners.

The Outcome of Health Anxiety in Primary Care. A Two-Year Follow-up Study on Health Care Costs and Self-Rated Health

Background Hypochondriasis is prevalent in primary care, but the diagnosis is hampered by its stigmatizing label and lack of valid diagnostic criteria. Recently, new empirically established criteria for Health anxiety were introduced. Little is known about Health anxietys impact on longitudinal outcome, and this study aimed to examine impact on self-rated health and health care costs. Methodology/Principal Findings 1785 consecutive primary care patients aged 18–65 consulting their family physicians (FPs) for a new illness were followed-up for two years. A stratified subsample of 701 patients was assessed by the Schedules for Clinical Assessment in Neuropsychiatry interview. Patients with mild (N = 21) and severe Health anxiety (N = 81) and Hypochondriasis according to the DSM-IV (N = 59) were compared with a comparison group of patients who had a well-defined medical condition according to their FPs and a low score on the screening questionnaire (N = 968). Self-rated health was measured by questionnaire at index and at three, 12, and 24 months, and health care use was extracted from patient registers. Compared with the 968 patients with well-defined medical conditions, the 81 severe Health anxiety patients and the 59 DSM-IV Hypochondriasis patients continued during follow-up to manifest significantly more Health anxiety (Whiteley-7 scale). They also continued to have significantly worse self-rated functioning related to physical and mental health (component scores of the SF-36). The severe Health anxiety patients used about 41–78% more health care per year in total, both during the 3 years preceding inclusion and during follow-up, whereas the DSM-IV Hypochondriasis patients did not have statistically significantly higher total use. A poor outcome of Health anxiety was not explained by comorbid depression, anxiety disorder or well-defined medical condition. Patients with mild Health anxiety did not have a worse outcome on physical health and incurred significantly less health care costs than the group of patients with a well-defined medical condition. Conclusions/Significance Severe Health anxiety was found to be a disturbing and persistent condition. It is costly for the health care system and must be taken seriously, i.e. diagnosed and treated. This study supports the validity of recently introduced new criteria for Health anxiety.

Diagnosis of depressed young people in primary health care—a validation of HSCL-10

BACKGROUND According to the World Health Organization, depression ranks as a major contributor to the global burden of disease. A large proportion of adult depressions had their first appearance in adolescence. AIM Because primary health care professionals lack valid instruments for early identification of depression, we sought to validate HSCL-10. The design of study is a GP multicentre study conducted in Norway and Denmark. The setting of the study is adolescents (14-16 years) responded by answering a questionnaire and later completed a Composite International Diagnostic Interview, which was used as the gold standard. Depression was defined by International Classification of Diseases-10 (ICD-10). Both internal and external validity were examined, the likelihood between pretest and posttest measured and a cut-off point for depression calculated by using the Youden index. RESULTS The Hopkins Symptom Checklist-10 test (HSCL-10) met the criteria for external and internal validity. When analysed separately, the criteria were met both in Denmark and in Norway and both for paper and web. The optimal cut-off point for the HSCL-10 test was 16 (HSCL-10 = 16/10 items = 1.6), with no gender differences. For girls and boys, respectively, it yielded a sensitivity of 87.5% and 87.5%, specificity of 72.4% and 87.9% and likelihood of 3.2 and 7.2. CONCLUSION HSCL-10 is a suitable and valid instrument for detecting depression in young people in primary care.

Prevalence of depression, quality of life and antidepressant treatment in the Danish General Suburban Population Study

Abstract Background: The Danish General Suburban Population Study (GESUS), the objective of which is to facilitate epidemiological and genetic research, has included the Major Depression Inventory (MDI) and the WHO-Five Well-Being Index (WHO-5) among the medical health questionnaires. We were thus in a position to compare the 2-week prevalence of ICD-10 depression in the period from 2010 to 2012 with our previous Danish general population study from 2003, in which the MDI was also included. Aims: The aim of our analysis was not only to evaluate the point prevalence of ICD-10 depression but also to describe the prevalence of antidepressants received by the respondents in the GESUS study and the correspondence to their subjective well-being on the WHO-5 questionnaire. Methods: To evaluate the validity (scalability) of the MDI and the WHO-5 in the GESUS study we performed the non-parametric Mokken analysis. The scalability of the MDI and the WHO-5 was quite acceptable. Results: In total, 14,787 respondents were available from a response rate of 50%. The 2-week prevalence of ICD-10 depression was 2.3%, which is rather similar to the 2.8% in our 2003 study. The rate of people receiving antidepressants increased consistently with increasing severity of ICD-10 depression. Conclusion: This study has confirmed that the use of the MDI to obtain an ICD-10 depression diagnosis gives rather conservative estimates of the 2-week prevalence of depression in the Danish general population. The prescription of antidepressants depends on the severity of the ICD-10 depression diagnosis.

Psychological and social problems in primary care patients - general practitioners' assessment and classification.

Abstract Objective. To estimate the frequency of psychological and social classification codes employed by general practitioners (GPs) and to explore the extent to which GPs ascribed health problems to biomedical, psychological, or social factors. Design. A cross-sectional survey based on questionnaire data from GPs. Setting. Danish primary care. Subjects. 387 GPs and their face-to-face contacts with 5543 patients. Main outcome measures. GPs registered consecutive patients on registration forms including reason for encounter, diagnostic classification of main problem, and a GP assessment of biomedical, psychological, and social factors’ influence on the contact. Results. The GP-stated reasons for encounter largely overlapped with their classification of the managed problem. Using the International Classification of Primary Care (ICPC-2-R), GPs classified 600 (11%) patients with psychological problems and 30 (0.5%) with social problems. Both codes for problems/complaints and specific disorders were used as the GPs diagnostic classification of the main problem. Two problems (depression and acute stress reaction/adjustment disorder) accounted for 51% of all psychological classifications made. GPs generally emphasized biomedical aspects of the contacts. Psychological aspects were given greater importance in follow-up consultations than in first-episode consultations, whereas social factors were rarely seen as essential to the consultation. Conclusion. Psychological problems are frequently seen and managed in primary care and most are classified within a few diagnostic categories. Social matters are rarely considered or classified.

A new questionnaire to identify bodily distress in primary care: The 'BDS checklist'

BACKGROUND Functional symptoms and disorders are common in primary care. Bodily distress syndrome (BDS) is a newly proposed clinical diagnosis for functional disorders. The BDS diagnosis is based on empirical research, and the symptoms stated in the BDS criteria have been translated into a self-report questionnaire called the BDS checklist. The aim of the present study was to investigate the psychometric properties of the checklist and to test the construct of BDS. METHOD The 30-item BDS checklist was completed by 2480 adult primary care patients in a cross-sectional study on contact and disease patterns in Danish general practice. We performed (internal) validation analyses of the collected checklist data. We also performed factor and latent class analyses to identify both BDS symptom groups and BDS patient groups. RESULTS Internal validation analyses revealed acceptable and usable psychometric properties of the BDS checklist. The factor analyses identified the four distinct determining factors for BDS: cardiopulmonary, gastrointestinal, musculoskeletal and general symptoms. Results from factor and multi-trait analyses suggested a shortening of the BDS checklist (from 30 to 25 items). The latent class analyses resulted in three severity levels (no, moderate and severe BDS); the best fit index was found for a threshold of ≥4 symptoms in a symptom group. CONCLUSION The results provide empirical support for the previously described construct of BDS with four symptom groups and three patient groups. The BDS checklist is a self-report instrument that may be used for case finding in both clinical practice and in research.

Case-finding and risk-group screening for depression in primary care

Abstract Objective. Central health organizations suggest routine screening for depression in high-risk categories of primary care patients. This study compares the effectiveness of high-risk screening versus case-finding in identifying depression in primary care. Design. Using an observational design, participating GPs included patients from 13 predefined risk groups and/or suspected of being depressed. Patients were assessed by the Major Depression Inventory (MDI) and ICD-10 criteria. Setting. Thirty-seven primary care practices in Mainland Denmark. Main outcome measures. Prevalence of depression, diagnostic agreement, effectiveness of screening methods, risk groups requiring special attention. Results. A total of 37 (8.4%) of 440 invited GP practices participated. We found high-risk prevalence of depression in 672 patients for the following traits: (1) previous history of depression, (2) familial predisposition to depression, (3) chronic pain, (4) other mental disorders, and (5) refugee or immigrant. In the total sample, GPs demonstrated a depression diagnostic sensitivity of 87% and a specificity of 67% using a case-finding strategy. GP diagnoses of depression agreed well with the MDI (AUC values of 0.91–0.99). The potential added value of high-risk screening was 4.6% (31/672). Patients with other mental disorders were at increased risk of having an unrecognized depression (PR 3.15, 95% CI 1.91–5.20). If patients with other mental disorders were routinely tested, then 42% more depressed patients (14/31) would be recognized. Conclusions. A broad case-finding approach including a short validation test can help GPs identify depressed patients, particularly by including patients with other mental disorders in this strategy. This exploratory study cannot support the screening strategy proposed by central health organizations.

The Association Between Perceived Stress and Mortality Among People With Multimorbidity: A Prospective Population-Based Cohort Study

Multimorbidity is common and is associated with poor mental health and high mortality. Nevertheless, no studies have evaluated whether mental health may affect the survival of people with multimorbidity. We investigated the association between perceived stress and mortality in people with multimorbidity by following a population-based cohort of 118,410 participants from the Danish National Health Survey 2010 for up to 4 years. Information on perceived stress and lifestyle was obtained from the survey. We assessed multimorbidity using nationwide register data on 39 conditions and identified 4,229 deaths for the 453,648 person-years at risk. Mortality rates rose with increasing levels of stress in a dose-response relationship (P-trend < 0.0001), independently of multimorbidity status. Mortality hazard ratios (highest stress quintile vs. lowest) were 1.51 (95% confidence interval (CI): 1.25, 1.84) among persons without multimorbidity, 1.39 (95% CI: 1.18, 1.64) among those with 2 or 3 conditions, and 1.43 (95% CI: 1.18, 1.73) among those with 4 or more conditions, when adjusted for disease severities, lifestyle, and socioeconomic status. The numbers of excess deaths associated with high stress were 69 among persons without multimorbidity, 128 among those with 2 or 3 conditions, and 255 among those with 4 or more conditions. Our findings suggested that perceived stress contributes significantly to higher mortality rates in a dose-response pattern, and more stress-associated deaths occurred in people with multimorbidity.

Mental health status and risk of new cardiovascular events or death in patients with myocardial infarction: a population-based cohort study

Objective To examine the association between mental health status after first-time myocardial infarction (MI) and new cardiovascular events or death, taking into account depression and anxiety as well as clinical, sociodemographic and behavioural risk factors. Design Population-based cohort study based on questionnaires and nationwide registries. Mental health status was assessed 3 months after MI using the Mental Component Summary score from the Short-Form 12 V.2. Setting Central Denmark Region. Participants All patients hospitalised with first-time MI from 1 January 2009 through 31 December 2009 (n=880). The participants were categorised in quartiles according to the level of mental health status (first quartile=lowest mental health status). Main outcome measures Composite endpoint of new cardiovascular events (MI, heart failure, stroke/transient ischaemic attack) and all-cause mortality. Results During 1940 person-years of follow-up, 277 persons experienced a new cardiovascular event or died. The cumulative incidence following 3 years after MI increased consistently with decreasing mental health status and was 15% (95% CI 10.8% to 20.5%) for persons in the fourth quartile, 29.1% (23.5% to 35.6%) in the third quartile, 37.0% (30.9% to 43.9%) in the second quartile, and 47.5% (40.9% to 54.5%) in the first quartile. The HRs were high, even after adjustments for age, sociodemographic characteristics, cardiac disease severity, comorbidity, secondary prophylactic medication, smoking status, physical activity, depression and anxiety (HR3rd quartile 1.90 (95% CI 1.23 to 2.93), HR2nd quartile 2.14 (1.37 to 3.33), HR1st quartile 2.23 (1.35 to 3.68) when using the fourth quartile as reference). Conclusions Low mental health status following first-time MI was independently associated with an increased risk of new cardiovascular events or death. Further research is needed to disentangle the pathways that link mental health status following MI to prognosis and to identify interventions that can improve mental health status and prognosis.