26 research outputs found

    Validation of the PHQ-9 as a screening instrument for depression in diabetes patients in specialized outpatient clinics

    Get PDF
    Background. For the treatment of depression in diabetes patients, it is important that depression is recognized at an early stage. A screening method for depression is the patient health questionnaire (PHQ-9). The aim of this study is to validate the 9-item Patient Health Questionnaire (PHQ-9) as a screening instrument for depression in diabetes patients in outpatient clinics. Methods. 197 diabetes patients from outpatient clinics in the Netherlands filled in the PHQ-9. Within 2 weeks they were approached for an interview with the Mini Neuropsychiatric Interview. DSM-IV diagnoses of Major Depressive Disorder (MDD) were the criterion for which the sensitivity, specificity, positive- and negative predictive values and Receiver Operator Curves (ROC) for the PHQ-9 were calculated. Results. The cut-off point of a summed score of 12 on the PHQ-9 resulted in a sensitivity of 75.7% and a specificity of 80.0%. Predictive values for negative and positive test results were respectively 93.4% and 46.7%. The ROC showed an area under the curve of 0.77. Conclusions. The PHQ-9 proved to be an efficient and well-received screening instrument for MDD in this sample of diabetes patients in a specialized outpatient clinic. The higher cut-off point of 12 that was needed and somewhat lower sensitivity than had been reported elsewhere may be due to the fact that the patients from a specialized diabetes clinic have more severe pathology and more complications, which could be recognized by the PHQ-9 as depression symptoms, while instead being diabetes symptom

    Cost-effectiveness of collaborative care for the treatment of major depressive disorder in primary care. A systematic review

    Get PDF
    Background. The effectiveness of collaborative care for patients with major depressive disorder in primary care has been established. Assessing its cost-effectiveness is important for deciding on implementation. This review therefore evaluates the cost-effectiveness of collaborative care for major depressive disorder in primary care. Methods. A systematic search on economic evaluations of collaborative care was conducted in Pubmed and PsychInfo. Quality of the studies was measured with the Cochrane checklist and the CHEC-list for economic evaluations. Cost-effectiveness and costs per depression-free days were reported. Results. 8 studies were found, involving 4868 patients. The quality of the cost effectiveness studies, according to the CHEC-list, could be improved. Generally, the studies did not include all relevant costs and did not perform sensitivity analysis. Only 4 out of 8 studies reported cost per QALY, 6 out of 8 reported costs per depression-free days. The highest costs per QALY reported were 49,500,thehighestcostsperdepressionfreedaywere49,500, the highest costs per depression-free day were 24. Conclusions. Although studies did not fulfil all criteria of the CHEC-list, collaborative care is a promising intervention and it may be cost-effective. However, to conclude on the cost-effectiveness, depression research should follow economic guidelines to improve the quality of the economic evaluations

    Norwegian GPs' participation in multidisciplinary meetings: A register-based study from 2007

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>An increasing number of patients with chronic disorders and a more complex health service demand greater interdisciplinary collaboration in Primary Health Care. The aim of this study was therefore to identify factors related to general practitioners (GPs), their list populations and practice municipalities associated with a high rate of GP participation in multidisciplinary meetings (MDMs).</p> <p>Methods</p> <p>A national cross-sectional register-based study of Norwegian general practice was conducted, including data on all GPs in the Regular GP Scheme in 2007 (N = 3179). GPs were grouped into quartiles based on the annual number of MDMs per patient on their list, and the groups were compared using one-way analysis of variance. Binary logistic regression was used to analyse associations between high rates of participation and characteristics of the GP, their list population and practice municipality.</p> <p>Results</p> <p>On average, GPs attended 30 MDMs per year. The majority of the meetings concerned patients in the age groups 20-59 years. Psychological disorders were the motivation for 53% of the meetings. In a multivariate logistic regression model, the following characteristics predicted a high rate of MDM attendance: younger age of the GP, with an OR of 1.6 (95% CI 1.2-2.1) for GPs < 45 years, a short patient list, with an OR of 4.9 (3.2-7.5) for list sizes below 800 compared to lists ≥ 1600, higher proportion of psychological diagnosis in consultations (OR3.4 (2.6-4.4)) and a high MDM proportion with elderly patients (OR 4.1 (3.3-5.4)). Practising in municipalities with less than 10,000 inhabitants (OR 3.7 (2.8-4.9)) and a high proportion of disability pensioners (OR 1.6 (1.2-2.2)) or patients receiving social assistance (OR 2.2 (1.7-2.8)) also predicted high rates of meetings.</p> <p>Conclusions</p> <p>Psychological problems including substance addiction gave grounds for the majority of MDMs. GPs with a high proportion of consultations with such problems also participated more frequently in MDMs. List size was negatively associated with the rate of MDMs, while a more disadvantaged list population was positively associated. Working in smaller organisational units seemed to facilitate cooperation between different professionals. There may be a generation shift towards more frequent participation in interdisciplinary work among younger GPs.</p

    Collaborative care voor de behandeling van comorbide depressieve stoornis bij chronisch lichamelijk zieke patienten op een polikliniek van een algemeen ziekenhuis

    No full text
    Background: Depression is highly prevalent in patients with chronic physical illnesses. A promising intervention for this group of patients is the collaborative care treatment as developed in the us. AIM: To demonstrate the prevalence of depression and the risk factors of depression in diabetes patients, to describe how the screening for depression can be carried out and to assess whether the collaborative care treatment in the Netherlands is effective. METHOD: A questionnaire was completed every three months in order to determine whether there was an improvement in patients' depression and physical symptoms.The outcomes were analysed by means of the multilevel logistic regression analyses. RESULTS: On the basis of the Patient Health Questionnaire, about 26% of the diabetes patients were found to have a depression.This questionnaire was validated for the measurement of depression in diabetes patients, the best results being found at a cut-off point of 12. In cases of fairly severe depression, collaborative care had no effect on depressive symptoms but did reduce severe physical complications. In cases of more severe depression, collaborative care only had an effect on depressive symptoms, but was not found to have any effect on physical complications. CONCLUSION: There is evidence that collaborative care can reduce depression and physical complications in chronically ill patients. However, more research is needed to find out whether collaborative care can become more effective if it is supplemented with digital methods and group therapy

    Collaborative care for co-morbid major depressive disorder in chronically ill outpatients in a general hospital

    No full text
    Background: Depression is highly prevalent in patients with chronic physical illnesses. A promising intervention for this group of patients is the collaborative care treatment as developed in the us. AIM: To demonstrate the prevalence of depression and the risk factors of depression in diabetes patients, to describe how the screening for depression can be carried out and to assess whether the collaborative care treatment in the Netherlands is effective. METHOD: A questionnaire was completed every three months in order to determine whether there was an improvement in patients' depression and physical symptoms.The outcomes were analysed by means of the multilevel logistic regression analyses. RESULTS: On the basis of the Patient Health Questionnaire, about 26% of the diabetes patients were found to have a depression.This questionnaire was validated for the measurement of depression in diabetes patients, the best results being found at a cut-off point of 12. In cases of fairly severe depression, collaborative care had no effect on depressive symptoms but did reduce severe physical complications. In cases of more severe depression, collaborative care only had an effect on depressive symptoms, but was not found to have any effect on physical complications. CONCLUSION: There is evidence that collaborative care can reduce depression and physical complications in chronically ill patients. However, more research is needed to find out whether collaborative care can become more effective if it is supplemented with digital methods and group therapy.</p

    Validation of the Patient Health Questionnaire-9 for Major Depressive Disorder in the Occupational Health Setting

    Get PDF
    Purpose Because of the increased risk of long-term sickness leave for employees with a major depressive disorder (MDD), it is important for occupational health professionals to recognize depression in a timely manner. The Patient Health Questionnaire-9 (PHQ-9) has proven to be a reliable and valid instrument for screening MDD, but has not been validated in the occupational health setting. The aim of this study was to validate the PHQ-9 for MDD within a population of employees on sickness leave by using the MINI-International Neuropsychiatric Interview (MINI) as a gold standard. Methods Participants were recruited in collaboration with the occupational health service. The study sample consisted of 170 employees on sickness leave between 4 and 26 weeks who completed the PHQ-9 and were evaluated with the MINI by telephone. Sensitivity, specificity, positive and negative predictive value, efficiency and 95 % confidence intervals (95 % CIs) were calculated for all possible cut-off values. A receiver operator characteristics (ROC) analysis was computed for PHQ-9 score versus the MINI. Results The optimal cut-off value of the PHQ-9 was 10. This resulted in a sensitivity of 86.1 % [95 % CI (69.7–94.8)] and a specificity of 78.4 % [95 % CI (70.2–84.8)]. Based on the ROC analysis, the area under the curve for the PHQ-9 was 0.90 [SE = 0.02; 95 % CI (0.85–0.94)]. Conclusion The PHQ-9 shows good sensitivity and specificity as a screener for MDD within a population of employees on sickness leave
    corecore