"Doctor, my back hurts and I cannot sleep." Depression in primary care patients: Reasons for consultation and perceived depression stigma

Depressive symptomatology from a network perspective: Differences in the experience of symptoms involved in the self-recognition of depression and the diagnosis process by social position

BACKGROUND

While social disparities in depression are well-documented, the symptom experience across social positions remains less studied.

AIMS

This study examines the connections between depressive symptoms and self-recognizing a depressive episode, on the one hand, and clinical diagnosis, on the other hand, by three social position indicators.

METHODS

We analyzed baseline data from a population-based cohort of adults living in France, grouping participants by three indicators: education, financial difficulties, and occupation, and stratifying by sex. Utilizing a psychometric network approach, we estimated 24 networks. Nodes corresponded to the 20 CES-D items and 1 external variable, either 'Limitations due to depression' or 'Clinical depression'. Comparisons between socially disadvantaged and advantaged groups across the three social indicators were made in terms of network structures, global strength, and edge weights involving symptoms and both external nodes.

RESULTS

The study included data from 201,952 participants. Individuals in lower social positions exhibited higher rates of depressive-related variables. Four depressive symptoms emerged as crucial, being linked both to 'Clinical depression' and 'Limitations' across all social positions. Socially disadvantaged groups had denser networks. Some of the tests comparing network structures according to social position were significant, suggesting differences in the symptom activation chains. Connections between each external node and 'Felt depressed' and 'Could not get going' were non-invariant in educational and financial-based networks.

CONCLUSIONS

Findings highlight four depressive symptoms, likely to play a key role in the experience of depression across all social positions. Other insights from specific symptoms could be used for improving depression care among disadvantaged populations.

Adding online storytelling-based acceptance and commitment therapy to antidepressant treatment for primary care patients: a randomized clinical trial

Depression is most often treated in primary care, where the prevailing treatment is antidepressant medication. Primary care patients with depression are less likely to be exposed to psychosocial interventions, despite evidence suggesting many of these treatments are effective. An example is acceptance and commitment therapy (ACT), a behavioral treatment for depression with a growing evidence base. A self-guided ACT intervention with a peer narrative (i.e. storytelling) format was developed with the intention of creating a treatment option for primary care patients that was more accessible than traditional psychotherapy. Titled LifeStories, the online program features videos of real individuals sharing coping skills for depression based on lived experiences and key ACT principles. A total of 93 primary care patients taking antidepressants were randomized to either continued antidepressant treatment alone or antidepressant treatment plus LifeStories for 4 weeks. There were no differences over time on depression severity and psychological inflexibility. However, LifeStories led to greater improvements in quality of life and increased patients' interest in additional treatment compared to antidepressant medication alone.Clinical trial pre-registration: ClinicalTrials.gov (NCT04757961).

Cut-off scores of the Depression Anxiety Stress Scale-8: Implications for improving the management of chronic pain

AIM

Mental distress, non-specific symptoms of depression and anxiety, is common in chronic pelvic pain (CPP). It contributes to poor recovery. Women's health nurses operate in multidisciplinary teams to facilitate the assessment and treatment of CPP. However, valid cut-off points for identifying highly distressed patients are lacking, entailing a gap in CPP management.

DESIGN

This instrumental cross-sectional study identified a statistically derived cut-off score for the Depression Anxiety Stress Scale-8 (DASS-8) among 214 Australian women with CPP (mean age = 33.3, SD = 12.4, range = 13-71 years).

METHODS

Receiver operator characteristic curve, decision trees and K-means clustering techniques were used to examine the predictive capacity of the DASS-8 for psychiatric comorbidity, pain severity, any medication intake, analgesic intake and sexual abuse. The study is prepared according to the STROBE checklist.

RESULTS

Cut-off points resulting from the analysis were ordered ascendingly. The median (13.0) was chosen as an optimal cut-off score for predicting key outcomes. Women with DASS-8 scores below 15.5 had higher analgesic intake.

CONCLUSION

CPP women with a DASS-8 score above 13.0 express greater pain severity, psychiatric comorbidity and polypharmacy. Thus, they may be a specific target for nursing interventions dedicated to alleviating pain through the management of associated co-morbidities.

IMPLICATIONS FOR PATIENT CARE

At a cut-off point of 13.0, the DASS-8 may be a practical instrument for recommending a thorough clinician-based examination for psychiatric comorbidity to facilitate adequate CPP management. It may be useful for evaluating patients' response to nursing pain management efforts. Replications of the study in different populations/countries are warranted.

Long-Term Efficacy of Internet-Based Cognitive Behavioral Therapy Self-Help Programs for Adults With Depression: Systematic Review and Meta-Analysis of Randomized Controlled Trials

BACKGROUND

Depression is a worldwide mental disorder and a leading cause of disability. Many people with depression do not want to take medication or have the motivation to seek psychotherapy treatment for many reasons. Guided internet-based self-help programs may be a promising solution for addressing these issues. This kind of intervention has proven to be effective in reducing depression symptoms on a short-term scale. However, as treatment often is a long-term rehabilitation process, it is important to examine not only the short-term effects of internet-based cognitive behavioral therapy (iCBT) self-help treatment but also the follow-up or long-term efficacy of this kind of intervention.

OBJECTIVE

This systematic review and meta-analysis aimed to identify studies that examined follow-up data ≥8 weeks after posttreatment measurements and thereby examined the long-term efficacy of iCBT self-help programs with minimal weekly guidance for people with depression. It aimed to analyze the long-term efficacy of iCBT treatments compared to control conditions as well as long-term efficacy within the iCBT treatment conditions. Additionally, it aimed to conduct subgroup analyses according to the follow-up time points for each outcome. Finally, it examined long-term improvements in quality of life.

METHODS

The Cochrane Collaboration Depression, Anxiety, and Neurosis Controlled Trials Register (CCDANCTR), grey literature, reference lists, and correspondence were used to search for published and unpublished randomized controlled trials (RCTs) that reported the long-term or follow-up efficacy of computer-based or iCBT self-help treatments for depression with minimal guidance of up to 10 min/wk. The search took place between 2015 and 2022 (October).

RESULTS

The search resulted in a total of 2809 study abstracts, of which 15 studies (with 17 samples) met all inclusion criteria and were included in the long-term analysis. The results showed that the depression outcomes of all follow-up time points together in the treatment conditions were favored over the control conditions with a medium effect size of 0.43 (n=1689 participants; 9 RCTs; standardized mean difference [SMD] -0.43, 95% CI -0.67 to -0.20; P<.001). The analysis of long-term efficacy within the iCBT treatment conditions showed that the follow-up outcomes of the treatment groups were favored over the posttreatment outcomes with a small effect size of 0.20 (n=2196 participants; 17 RCTs; SMD 0.20, 95% CI 0.07-0.49; P=.003). Findings for improving quality of life also showed that the iCBT conditions were favored over the control conditions with a small effect size of 0.19 (n=1345 participants; 3 RCTs; SMD 0.19, 95% CI 0.08-0.30; P<.001).

CONCLUSIONS

This systematic review and meta-analysis found that iCBT self-help interventions had a superior long-term efficacy for individuals with depressive symptoms compared to control groups. The within-group analysis of iCBT treatment conditions also showed statistically significant improvements in reducing depressive symptoms at follow-up compared to posttreatment measurements.

Work-related stress, reason for consultation and diagnosis-specific sick leave: How do they add up?

Work-related stress is common in Western society and disorders associated with stress are often managed in primary health care. This study was set to increase the understanding of the relationship between reason for consultation, work-related stress and diagnosis-specific sick leave for primary health care patients. The longitudinal observational study included 232 employed non-sick listed patients at seven primary health care centres in Sweden. Of these patients, 102 reported high work-related stress, as measured with the Work Stress Questionnaire, and 84 were on registered sick leave within one year after inclusion. The study showed that, compared to those who did not report high work-related stress, highly stressed patients more often sought care for mental symptoms (60/102 versus 24/130), sleep disturbance (37/102 versus 22/130) and fatigue (41/102 versus 34/130). The risk for sick leave with a mental diagnosis within a year after base-line was higher among patients reporting high work-related stress than among those who did not (RR 2.97, 95% CI 1.59;5.55). No such association was however found for the risk of sick leave with a musculoskeletal diagnosis (RR 0.55, 95% CI 0.22;1.37). Seeking care for mental symptoms, sleep disturbance and fatigue were associated with having a future mental sick leave diagnosis (p-values < 0.001), while seeking care for musculoskeletal symptoms was associated with having a future musculoskeletal sick leave diagnosis (p-value 0.009). In summary, compared to those who did not report high work-related stress, patients with high work-related stress more often sought care for mental symptoms, sleep disturbance and fatigue which lead to a mental sick leave diagnosis. Reporting high work-related stress was, however, not linked to having sought care for musculoskeletal symptoms nor future sick leave due to a musculoskeletal diagnosis. Hence, both patients and general practitioners seem to characterize work-related stress as a mental complaint.

Predictors of personal depression stigma in medical students in China: differences in male and female groups

Depression is common worldwide, and stigmatizing attitudes toward depression have proved to be one of the major barriers to seeking professional help. The purpose of this study was to evaluate the level of personal depression stigma and identify its predictive factors among medical students in Hainan, China, as well as explore the gender difference. A total of 2,186 medical students were recruited using stratified random cluster sampling and interviewed by structured anonymous questionnaires. Personal stigma was measured by the standardized Depression Stigma Scale (DSS). Multivariate linear regression models were used to identify predictors of stigma, and the interactions between gender and each predictor were included to test its gender difference. The mean score on DSS Scale was 13.71 ± 5.35, with males significantly higher than females (14.85 vs 12.99, P < 0.0001). Compared to females, males were more likely to agree with 'I would not vote for a class cadre if I knew they had been depressed' and 'I would not make friends with him if I knew he had been depressed'. Multivariate linear regression analysis revealed that males' personal stigma was predicted by being only child (ß = 1.01, P = 0.0083), moderate-to-severe depression (ß = 1.12, P = 0.0302), and lower self-rated academic core competitiveness (Competitive: ß = 1.29, P = 0.0088, Not at all/Somewhat competitive: ß = 1.04, P = 0.0381), while females' personal stigma was only associated with moderate-to-severe depression (ß = 1.75, P < 0.0001). Significant interactions were found between gender and self-rated academic core competitiveness. Stigmatizing attitudes toward depression were prevalent among Chinese medical students, especially male students. Gender differences were found in the predictors of stigma. Effective measures must be taken to reduce the stigma of mental health among Chinese medical students.

Efficacy of computer- and/or internet-based cognitive-behavioral guided self-management for depression in adults: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Depression is a worldwide disease. CBT-based self-help treatment allows patients with mild to moderate depression symptoms to improve their depression or to bridge the waiting- or pandemic period until they receive further clinical treatment.

OBJECTIVE

This systematic review and meta-analysis aims to explore the efficacy, acceptability and improvement in quality of life of computer-delivered and/or internet-based CBT self-help interventions with minimal guidance (up to 10 min) for depression. The second aim was to compare the effectiveness of reducing depression symptoms at post-treatment of treatment by the type of minimal guidance: (1) e-mail, (2) telephone calls, (3) e-mail and telephone together, or (4) face-to-face.

METHODS

The Cochrane depression, anxiety, and neurosis review group's specialized register electronic searches, grey literature, reference lists and correspondence were used to search for published and unpublished RCTs that reported efficacy of computer- and/or internet-based CBT self-help treatments for depression with minimal guidance up to 10 min per week. Methodological quality of included studies was evaluated with Cochrane Collaboration tools for assessing risk of bias. The meta-analysis was accomplished using the RevMen software.

RESULTS

In total, 2809 study abstracts were checked for eligibility. Out of these, 19 studies (21 samples) with a total of 3226 participants were included. The results showed that concerning efficacy, the treatment group is superior to the control group with a medium to large effect size of 0.65. Also, treatment groups with combined guidance by e-mail and telephone calls together had greater effects (SMD -0.76) than groups with other types of minimal guidance (guided by e-mail SMD -0.63; guided face to-face SMD - 0.66; guided by telephone calls SMD -0.49). Findings showed also, that iCBT with minimal guidance had small but statistically significant effect size of 0.28 in improving quality of life. Moreover, there were higher drop-out rates in the treatment condition (RR 1.36) than in the control groups.

CONCLUSIONS

The results of this meta-analysis support the efficacy of computer- and/or internet-based CBT self-help programs with minimal weekly guidance up to only 10 min for improving depression symptoms at post-treatment for adults. In addition, the results are pointing towards two practical implications. Firstly, depressed persons can use self-help treatment with minimal guidance at home to improve their symptoms or to bridge the waiting time - or pandemic period - before they receive professional face-to-face treatment. Secondly, it can help clinicians to make the decision about using CBT-based self-help treatments for patients that do not need urgent professional treatment, or to combine it with face-to-face therapy.

Management and treatment of long COVID symptoms in general practices: An online-based survey

Independent from initial severity, many patients develop persistent symptoms after infection with SARS-CoV-2, described as long COVID syndrome. Most of these patients are treated by general practitioners (GPs). As evidence-based treatment recommendations are still sparse, GPs must make their therapy decisions under uncertainty. We investigated (1) the most frequently observed long COVID symptoms in general practices and (2) GPs' applied treatment and rehabilitation plans for these symptoms. In total, 143 German GPs participated in an online-based survey between 05/2021 and 07/2021. We found that each GP practice was treating on average 12 patients with long COVID symptoms. Most frequently seen symptoms were fatigue and reduced performance. Current therapy options were rated as poor and loss of smell and taste, fatigue, or lack of concentration were perceived to be especially difficult to treat. The use of drug and non-drug therapies and specialist referrals focused primarily on physiological and less on psychosomatic/psychological rehabilitation and followed guidelines of similar conditions. Our results provide first insights into how GPs approach a newly emerging condition in the absence of guidelines, evidence-based recommendations, or approved therapies, and might inform about GP preparedness in future pandemics. Our results also emphasize a gap between the current knowledge of the long COVID manifestation and knowledge about effective rehabilitation.

Diagnosing and Treating Depression and Anxiety in Patients with Cardiovascular Disorders and Diabetes Mellitus in Primary Healthcare: Is Training of Physicians Enough for Improvement?

INTRODUCTION: Common mental disorders anxiety and depression are prevalent among patients with cardiovascular disease (CVD) and diabetes mellitus type 2 (DM) and can negatively influence treatment outcomes and healthcare expenses. Despite the importance of management of depression and anxiety in primary care facilities, the diagnostics and treatment of these disorders remain insufficient in the Russian Federation. AIM: To explore whether the rates of referrals to psychiatrists and indicated pharmacological treatment received due to depression or anxiety among patients with CVD and DM will significantly change in primary healthcare facilities after the training of primary care physicians (PCPhs) to deal with comorbid depression and anxiety (including the algorithm for referral to a psychiatrist). METHODS: Patients in primary care outpatient settings with diagnoses of CVD and DM passed screening on anxiety and depression using the Hospital Anxiety and Depression Scale (HADS), and information about the indicated treatment for anxiety or depression was collected when present (Sample 1: n=400). The educational programme for PCPhs on the diagnostics of anxiety and depression was then performed, and PCPhs were instructed to refer patients with HADS 7 to a psychiatrist. After the training, the second sample was collected (Sample 2: n=178) using the same assessments as for Sample 1. The independent expert (psychiatrist) evaluated whether the patients had received the indicated pharmacological treatment according to the screening criteria used in the study for anxiety and depression for both samples. RESULTS: The proportions of patients with borderline abnormal and abnormal HADS scores (7) were 365 (91.2%) and 164 (92.1%) in Sample 1 and Sample 2, respectively. In Sample 1, among patients with HADS 7, 119 (29.8%) received psychopharmacological treatment, but in only 46 (38.7%) cases was it indicated in compliance with the screening criteria. In Sample 2, among patients with HADS 7, 59 (33.1%) received psychopharmacological treatment, and in only 14 (23.7%) cases was it indicated in compliance with the screening criteria. The differences in the indicated pharmacological treatment were not statistically significant, and no one from Sample 2 with HADS 7 met a psychiatrist through PCPh referral. CONCLUSIONS: Anxiety and depression are prevalent in patients with CVD and DM treated in primary care facilities, but these patients may not be receiving the indicated pharmacological treatment. Barriers to referral and the use of psychiatric consultation exist despite the focused training of PCPhs and the straightforward referral protocol provided.

Does the Number of Reasons for Seeking Care and Self-Rated Health Predict Sick Leave during the Following 12 Months? A Prospective, Longitudinal Study in Swedish Primary Health Care

BACKGROUND

Sick leave has major social and economic consequences for both individuals and society. Primary Health Care (PHC) meets people who seek care before they risk going on sick leave. This study examined the impact of self-perceived health on sick leave within 12 months for workers seeking care in PHC.

METHODS

The study had a prospective longitudinal design with 271 employed, non-sick-listed patients aged 18-64 years seeking care for physical and/or mental symptoms at PHC. In a logistic regression, an estimation of the odds ratio (OR) for belonging to the group workers with >14 days of sick-leave (W-SL) was made.

RESULTS

A high number of reasons when seeking care, with an OR of 1.33 (confidence interval 1.14 to 1.56), and lower self-rated health, with an OR of 1.45 (confidence interval 1.10 to 1.91), were determinants for sick leave at 12 months after adjusting for covariates and confounders. Mental symptoms constituted the main reason for seeking care, followed by musculoskeletal pain, and significant differences in proportions regarding most symptoms were shown between the groups with and without sick-leave >14 days.

CONCLUSION

Health care professionals in PHC need to be aware of the risk of future sick leave at comorbidity and low self-perceived health. Preventive rehabilitation interventions should be offered to improve health and prevent sick leave for this group.