Cerebrovascular risk factors and subsequent depression in older general practice patients

Background: This general practice-based case-control study tested the association between cerebrovascular risk factors (CVRFs) and the development of later-life depression by focusing on the impact of exposure duration to CVRFs and the modifying influence of age at depression onset. Methods: Cases were 286 patients aged >/=50 years with a first diagnosis of depression at age >/=50 years. Nondepressed controls (N=832) were individually matched for age, gender and practice. CVRF diagnoses (hypertension, diabetes mellitus, cardiovascular conditions) prior to depression were determined. Analyses controlled for education, somatic and nondepressive psychiatric disease. Results: No CVRF variable examined was significantly associated with subsequent depression in the total sample. An unexpected impact of age at onset of depression was observed: the odds ratio associated with having any CVRF was smaller for patients with age at onset >/=70 years than for patients with onset between ages 50-59 years (p=.002) and 60-69 years (p=.067). Subsequent analyses excluding patients with onset at age >/=70 years revealed that CVRF variables, including long-term exposure to CVRFs, significantly increased the odds of subsequent depression with onset between ages 50 and 69 years. Limitations: Reliance on GPs' records of morbidity may have resulted in bias towards underestimation in patients with depression onset at age >/=70 years. Conclusions: Our findings suggest that CVRFs play a relevant role in the development of depression with onset between ages 50 and 69 years, but no evidence was found that they contribute to the occurrence of depression with onset at age >/=70 years. Replication is warranted to exclude the possibility of bias. (aut. ref.

Impact of Preexisting Depression on Length of Stay and Discharge Destination Among Patients Hospitalized for Acute Stroke:Linked Register-Based Study

Background and Purpose—There exists limited knowledge regarding the relation between depression and healthcare utilization in stroke patients. The objective of this register-based study was to examine the impact of having preexisting depression at the time of hospital admission for acute stroke on length of hospital stay and discharge destination. Methods—Data from a general-practice database were linked to those of a hospital database to identify patients hospitalized for stroke and were used to categorize these patients into 3 groups based on preexisting mental health (MH) status at admission, ie, those with preexisting depression, those with another preexisting MH condition, and those without any preexisting MH condition. Multilevel analyses controlling for several potentially important covariates were performed to estimate the associations under study. Results—Both patients with preexisting depression (n41) and those with another preexisting MH condition (n62) did not differ significantly from patients without any preexisting MH condition (n211) regarding length of hospital stay for acute stroke. Among patients who survived hospitalization, those with preexisting depression had significantly higher odds of being discharged to an institution instead of their home than did patients without any preexisting MH condition. Having another preexisting MH condition had no significant effect on discharge destination. Conclusions—Having preexisting depression at admission seems to be a relevant factor in determining discharge to institutional care after acute stroke hospitalization. Further research is needed to determine the mechanism(s) through which preexisting depression decreases the chances of being discharged to home

The Contribution of Self-Rated Health and Depressive Symptoms to Disability Severity as a Predictor of 10-Year Mortality in European Elderly Men

Objectives. To investigate the effect of disability severity and the contribution of self-rated health and depressive symptoms to 10-year mortality. Methods. Longitudinal data were collected from 1141 men aged 70 to 89 years from the Finland, Italy, and the Netherlands Elderly Study from 1990 to 2000. Disability severity was classified into 4 categories: no disability, instrumental activities, mobility, and basic activities of daily living. Self-rated health and depressive symptoms were classified into 2 and 3 categories, respectively. Multivariate Cox proportional hazard models were used to calculate mortality risks. Results. Men with severe disability had a risk of mortality that was more than 2-fold higher (hazard ratio [HR]=2.41; 95% confidence interval [CI]=1.84, 3.16) than that of men without disability. Men who had severe disability and did not feel healthy had the highest mortality risk (HR = 3.30; 95% CI = 2.52, 4.33). This risk was lower at lower levels of disability and higher levels of self-rated health. The same trend was observed for depressive symptoms. Conclusions. For adequate prognoses on mortality or for developing intervention strategies, not only physical aspects of health but also other health outcomes should be taken into account

Economic valuation of informal care: Lessons from the application of the opportunity costs and proxy good methods

This paper reports the results of the application of the opportunity costs and proxy good methods to determine a monetary value of informal care. We developed a survey in which we asked informal caregivers in The Netherlands to indicate the different types of time forgone (paid work, unpaid work and leisure) in order to be able to provide care. Moreover, we asked informal caregivers how much time they spent on a list of 16 informal care tasks during the week before the interview. Data were obtained from surveys in two different populations: informal caregivers and their care recipients with stroke and with rheumatoid arthritis (RA). A total of 218 care recipients with stroke and their primary informal caregivers completed a survey as well as 147 caregivers and their care recipients with RA. The measurement of care according to both methods is more problematic compared to the valuation. This is especially the case for the opportunity costs method and for the housework part in the proxy good method. More precise guidelines are necessary for the consistent application of both methods in order to ensure comparability of results and of economic evaluations of health care.Informal care Economic evaluations Opportunity costs method Proxy good method Stroke Rheumatoid arthritis The Netherlands

Impact of Preexisting Depression on Length of Stay and Discharge Destination Among Patients Hospitalized for Acute Stroke : Linked Register-Based Study

Background and Purpose—There exists limited knowledge regarding the relation between depression and healthcare utilization in stroke patients. The objective of this register-based study was to examine the impact of having preexisting depression at the time of hospital admission for acute stroke on length of hospital stay and discharge destination. Methods—Data from a general-practice database were linked to those of a hospital database to identify patients hospitalized for stroke and were used to categorize these patients into 3 groups based on preexisting mental health (MH) status at admission, ie, those with preexisting depression, those with another preexisting MH condition, and those without any preexisting MH condition. Multilevel analyses controlling for several potentially important covariates were performed to estimate the associations under study. Results—Both patients with preexisting depression (n41) and those with another preexisting MH condition (n62) did not differ significantly from patients without any preexisting MH condition (n211) regarding length of hospital stay for acute stroke. Among patients who survived hospitalization, those with preexisting depression had significantly higher odds of being discharged to an institution instead of their home than did patients without any preexisting MH condition. Having another preexisting MH condition had no significant effect on discharge destination. Conclusions—Having preexisting depression at admission seems to be a relevant factor in determining discharge to institutional care after acute stroke hospitalization. Further research is needed to determine the mechanism(s) through which preexisting depression decreases the chances of being discharged to home.

Accuracy of diagnosing depression in primary care: the impact of chronic somatic and psychiatric co-morbidity

Background. Depression is highly co-morbid with both psychiatric and chronic somatic disease. These types of co-morbidity have been shown to exert opposite effects on underdiagnosis of depression by general practitioners (GPs). However, past research has not addressed their combined effect on underdiagnosis of depression. Method. Co-morbidity data on 191 depressed primary-care patients selected by a two-stage sampling procedure were analysed. Diagnoses of major depression and/or dysthymia in the last 12 months were assessed using a standardized psychiatric interview (CIDI) and compared with depression diagnoses registered by GPs in patient contacts during the same period. Presence of psychiatric and chronic somatic co-morbidity was determined using the CIDI and contact registration, respectively. Results. Regression analysis showed a significant interaction effect between psychiatric and chronic somatic co-morbidity on GPs’ diagnosis of depression, while taking into account the effects of sociodemographic variables, depression severity and number of GP contacts. Subsequent stratified analysis revealed that in patients without chronic somatic co-morbidity, a lower educational level, a less severe depression, and fewer GP contacts all significantly increased the likelihood of not being diagnosed as depressed. In contrast, in patients with chronic somatic co-morbidity, only having no psychiatric co-morbidity significantly decreased the likelihood of receiving a depression diagnosis. Conclusions. Our results indicate that the effects of psychiatric co-morbidity and other factors on underdiagnosis of depression by GPs differ between depressed patients with and without chronic somatic co-morbidity. Efforts to improve depression diagnosis by GPs seem to require different strategies for depressed patients with and without chronic somatic co-morbidity.

Comorbidity was associated with neurologic and psychiatric diseases: A general practice-based controlled study

Background and Objective: To comprehensively examine comorbidity in unselected cohorts of patients with depression, stroke, multiple sclerosis (MS), Parkinson's disease/parkinsonism (PD/PKM), dementia, migraine, and epilepsy. Methods: This cross-sectional study used morbidity data recorded by Dutch general practitioners. Index disease cohort sizes ranged from 241 patients with MS to 6,641 patients with lifetime depression. Thirty somatic and seven psychiatric disease categories were examined to determine whether they were comorbid with the index diseases by performing comparisons with age- and gender-matched control cohorts. Identified comorbidities were classified as either "possible" or "highly probable" comorbidity. Results: An extensive range of 26 disease categories was found to be comorbid with lifetime depression. The comorbidity profile of stroke was also wide, including 21 disease categories. The comorbidity patterns of migraine and epilepsy comprised each 11 disease categories. Those concerning MS, PD/PKM, and dementia included a small number of disease categories. Conclusion: This study provides comprehensive knowledge of the occurrence of somatic and psychiatric comorbidity in general populations of patients with depression, stroke, MS, PD/PKM, dementia, migraine, and epilepsy. The implications of the findings for clinical practice and research are discussed