scholarly journals Duration of untreated symptoms in common mental disorders: association with outcomes

2006 ◽  
Vol 189 (1) ◽  
pp. 79-80 ◽  
Author(s):  
Stephen Kisely ◽  
Anita Scott ◽  
Jennifer Denney ◽  
Gregory Simon

SummaryStudies have assessed the association between a longer duration of untreated symptoms and outcome for psychoses in specialist care. We investigated the effect of longer duration on the outcome of common psychiatric disorders in primary care, where most patients are treated. Patients presenting to primary care for new episodes in 10 countries were recruited into a prospective cohort study. Information on duration of untreated symptoms and psychosocial status was collected for 351 individuals using standardised instruments and this was repeated 1 year later. At 1-year follow-up, longer duration was associated with worse psychiatric outcome even after controlling for potential confounders.

BMJ Open ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. e053624
Author(s):  
Daniel Smith ◽  
Kathryn Willan ◽  
Stephanie L Prady ◽  
Josie Dickerson ◽  
Gillian Santorelli ◽  
...  

ObjectivesWe aimed to examine agreement between common mental disorders (CMDs) from primary care records and repeated CMD questionnaire data from ALSPAC (the Avon Longitudinal Study of Parents and Children) over adolescence and young adulthood, explore factors affecting CMD identification in primary care records, and construct models predicting ALSPAC-derived CMDs using only primary care data.Design and settingProspective cohort study (ALSPAC) in Southwest England with linkage to electronic primary care records.ParticipantsPrimary care records were extracted for 11 807 participants (80% of 14 731 eligible). Between 31% (3633; age 15/16) and 11% (1298; age 21/22) of participants had both primary care and ALSPAC CMD data.Outcome measuresALSPAC outcome measures were diagnoses of suspected depression and/or CMDs. Primary care outcome measure were Read codes for diagnosis, symptoms and treatment of depression/CMDs. For each time point, sensitivities and specificities for primary care CMD diagnoses were calculated for predicting ALSPAC-derived measures of CMDs, and the factors associated with identification of primary care-based CMDs in those with suspected ALSPAC-derived CMDs explored. Lasso (least absolute selection and shrinkage operator) models were used at each time point to predict ALSPAC-derived CMDs using only primary care data, with internal validation by randomly splitting data into 60% training and 40% validation samples.ResultsSensitivities for primary care diagnoses were low for CMDs (range: 3.5%–19.1%) and depression (range: 1.6%–34.0%), while specificities were high (nearly all >95%). The strongest predictors of identification in the primary care data for those with ALSPAC-derived CMDs were symptom severity indices. The lasso models had relatively low prediction rates, especially in the validation sample (deviance ratio range: −1.3 to 12.6%), but improved with age.ConclusionsPrimary care data underestimate CMDs compared to population-based studies. Improving general practitioner identification, and using free-text or secondary care data, is needed to improve the accuracy of models using clinical data.


2004 ◽  
Vol 145 (6) ◽  
pp. 767-771 ◽  
Author(s):  
William Gardner ◽  
Kelly J. Kelleher ◽  
Kathleen Pajer ◽  
John V. Campo

2017 ◽  
Vol 27 (5) ◽  
pp. 487-492 ◽  
Author(s):  
Vincent Gouttebarge ◽  
Haruhito Aoki ◽  
Evert A. L. M. Verhagen ◽  
Gino M. M. J. Kerkhoffs

2017 ◽  
Vol 84 ◽  
pp. 200-206 ◽  
Author(s):  
Jenneke van Ditzhuijzen ◽  
Margreet ten Have ◽  
Ron de Graaf ◽  
Peter Lugtig ◽  
Carolus H.C.J. van Nijnatten ◽  
...  

2018 ◽  
Vol 102 ◽  
pp. 132-135 ◽  
Author(s):  
Jenneke van Ditzhuijzen ◽  
Margreet ten Have ◽  
Ron de Graaf ◽  
Carolus H.C.J. van Nijnatten ◽  
Wilma A.M. Vollebergh

2016 ◽  
Vol 96 (7) ◽  
pp. 972-984 ◽  
Author(s):  
Harald S. Miedema ◽  
Anita Feleus ◽  
Sita M.A. Bierma-Zeinstra ◽  
Trynke Hoekstra ◽  
Alex Burdorf ◽  
...  

Abstract Background Nontraumatic complaints of arm, neck, and shoulder (CANS) represent an important health issue, with a high prevalence in the general working age population and huge economic impact. Nevertheless, only few prospective cohort studies for the outcome of CANS are available. Objectives The purpose of this study was to identify disability trajectories and associated prognostic factors during a 2-year follow-up of patients with a new episode of CANS in primary care. Design This was a prospective cohort study. Methods Data of 682 participants were collected through questionnaires at baseline and every 6 months thereafter. Disability was measured with the Disabilities of the Arm, Shoulder and Hand questionnaire (DASH). Latent class growth mixture (LCGM) modeling was used to identify clinically meaningful groups of patients who were similar in their disability trajectory during follow-up. Multivariate multinomial regression analysis was used to evaluate associations between sociodemographic, complaint-related, physical, and psychosocial variables and the identified disability trajectories. Results Three disability trajectories were identified: fast recovery (67.6%), modest recovery (23.6%), and continuous high disability (8.8%). A high level of somatization was the most important baseline predictor of continuous high disability. Furthermore, poor general health, widespread complaints, and medium level of somatization were associated with this trajectory and >3 months complaint duration, musculoskeletal comorbidity, female sex, history of trauma, low educational level, low social support, and high complaint severity were associated with both continuous high disability and modest recovery. Age, kinesiophobia, and catastrophizing showed significant associations only with modest recovery. Limitations Loss to follow-up ranged from 10% to 22% at each follow-up measurement. Disabilities were assessed only with the DASH and not with physical tests. Misclassification by general practitioners regarding specific or nonspecific diagnostic category might have occurred. The decision for optimal LCGM model, resulting in the disability trajectories, remains arbitrary to some extent. Conclusions Three trajectories described the course of disabilities due to CANS. Several prognostic indicators were identified that can easily be recognized in primary care. As some of these prognostic indicators may be amenable for change, their presence in the early stages of CANS may lead to more intensive or additional interventions (eg, psychological or multidisciplinary therapy). Further research focusing on the use of these prognostic indicators in treatment decisions is needed to further substantiate their predictive value.


CNS Spectrums ◽  
2006 ◽  
Vol 11 (3) ◽  
pp. 201-210 ◽  
Author(s):  
Javier I. Escobar ◽  
Angelica Dìaz-Martínez ◽  
Michael Gara

ABSTRACTWorldwide, patients with common mental disorders, such as depression and anxiety, have a tendency to present first to primary care exhibiting idiopathic physical symptoms. Typically, these symptoms consist of pain and other physical complaints that remain medically unexplained. While in the past, traditional psychopathology emphasized the relevance of somatic presentations for disorders, such as depression, in the last few decades, the “somatic component” has been neglected in the assessment and treatment of psychiatric patients. Medical specialties have come up with a variety of “fashionable” labels to characterize these patients and the new psychiatric nomenclatures, such as the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, attempt to classify these patients into a separate “somatoform disorders” category. These efforts fall short, and revisionists are asking altogether for the elimination of “somatoform disorders” from future nomenclatures.This review emphasizes the importance of idiopathic physical symptoms to the clinical phenomenology of many psychiatric disorders, offers suggestions to the diagnostic conundrum, and provides some hints for the proper assessment and management of patients with these common syndromes.


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