The effects of causal and self-efficacy beliefs on help-seeking for people with depressive complaints: a quasi-experimental online study

BackgroundOnly approximately a third of people with depressive symptoms seek professional health care. Furthermore, people labelled as mentally ill may experience stigmatisation, which can impede help-seeking behaviour.AimTo examine the effects of three vignette-based interventions endorsing biopsychosocial causal beliefs and strengthening self-efficacy on help-seeking intention and behaviour, as well as the predictive values of these variables and previous treatment experience.MethodA quasi-experimental online study utilising a fractioned factorial design was carried out. People were screened for depressive symptoms and their current treatment status. After baseline assessment, they were randomly allocated into one of 24 groups receiving a combination of interventional messages. Actual help-seeking behaviour was measured at follow-ups 3 and 6 months after baseline.ResultsAltogether, N = 1,368 participants were included in the final analyses and N = 983 provided data on their help-seeking behaviour within 3 to 6 months after the baseline assessment. The intention to seek help from a general practitioner or a mental health professional was significantly influenced by the interventions. However, help-seeking behaviour was not influenced by the interventions. On a conceptual level, biopsychosocial causal beliefs (β = 0.09–0.23) and self-efficacy to seek help (β = 0.16–0.25) predicted help-seeking intention. There was a negative interaction effect of both self-efficacy beliefs on intention and behaviour, which changed depending on depression severity. In all models, the intention was the main predictor of actual behaviour. Treatment experience predicted both help-seeking intention and behaviour.ConclusionBiopsychosocial causal beliefs and self-efficacy have a direct effect on help-seeking intention. Interventions should include information on how to actually seek help as a means to strengthen self-efficacy beliefs and simulate previous treatment experience. Further research is needed to investigate the respective interaction effects on intention and behaviour.Clinical Trial Registrationhttps://drks.de/search/de/trial/DRKS00023557, German Clinical Trials Register: DRKS00023557. Registered 11 December 2020. World Health Organization, Universal Trial Number: U1111–1264-9954. Registered 16 February 2021

Early mobilisation in critically ill COVID-19 patients: a subanalysis of the ESICM-initiated UNITE-COVID observational study

Background Early mobilisation (EM) is an intervention that may improve the outcome of critically ill patients. There is limited data on EM in COVID-19 patients and its use during the first pandemic wave. Methods This is a pre-planned subanalysis of the ESICM UNITE-COVID, an international multicenter observational study involving critically ill COVID-19 patients in the ICU between February 15th and May 15th, 2020. We analysed variables associated with the initiation of EM (within 72 h of ICU admission) and explored the impact of EM on mortality, ICU and hospital length of stay, as well as discharge location. Statistical analyses were done using (generalised) linear mixed-effect models and ANOVAs. Results Mobilisation data from 4190 patients from 280 ICUs in 45 countries were analysed. 1114 (26.6%) of these patients received mobilisation within 72 h after ICU admission; 3076 (73.4%) did not. In our analysis of factors associated with EM, mechanical ventilation at admission (OR 0.29; 95% CI 0.25, 0.35; p = 0.001), higher age (OR 0.99; 95% CI 0.98, 1.00; p ≤ 0.001), pre-existing asthma (OR 0.84; 95% CI 0.73, 0.98; p = 0.028), and pre-existing kidney disease (OR 0.84; 95% CI 0.71, 0.99; p = 0.036) were negatively associated with the initiation of EM. EM was associated with a higher chance of being discharged home (OR 1.31; 95% CI 1.08, 1.58; p = 0.007) but was not associated with length of stay in ICU (adj. difference 0.91 days; 95% CI − 0.47, 1.37, p = 0.34) and hospital (adj. difference 1.4 days; 95% CI − 0.62, 2.35, p = 0.24) or mortality (OR 0.88; 95% CI 0.7, 1.09, p = 0.24) when adjusted for covariates. Conclusions Our findings demonstrate that a quarter of COVID-19 patients received EM. There was no association found between EM in COVID-19 patients' ICU and hospital length of stay or mortality. However, EM in COVID-19 patients was associated with increased odds of being discharged home rather than to a care facility. Trial registration ClinicalTrials.gov: NCT04836065 (retrospectively registered April 8th 2021)

The impact of digital interventions on help-seeking behaviour for mental health problems: a systematic literature review

Purpose of review: Interventions which facilitate help-seeking could help individuals to get care earlier on which could also help avert some mental health crises. Delivering interventions via a digital format could mitigate some key barriers to mental health care. We reviewed the literature for digital interventions which facilitate formal or informal help-seeking for mental health problems. We examined the impact of identified interventions on actual and intended help-seeking and attitudes towards help-seeking. Recent findings: We identified 35 interventions. About half (51%) of studies showed an improvement in at least one help-seeking outcome with the greatest number showing an improvement in help-seeking intentions and the fewest studies showing an improvement in actual behaviour (29%). Findings suggest that interventions which promote active participation and personal involvement through sharing one’s own narrative seem to be promising practices to facilitate help-seeking. Summary: Our findings suggest digital interventions can improve help-seeking for mental health problems among a range of populations. Given specialty mental health resources are scarce, further research needs to consider how these interventions could best target the most vulnerable groups to link them with mental healthcare and how these interventions might facilitate earlier intervention in a way that might reduce need for crisis care and support

The Seeking Mental Health Care model: prediction of help-seeking for depressive symptoms by stigma and mental illness representations

Abstract Background Only about half the people with depression seek professional health care services. To constitute the different predictors and associating variables of health care utilisation, we model the process and aim to test our hypothesised Seeking Mental Health Care Model. The model includes empirical influences on the help-seeking process to predict actual behaviour and incorporates superordinate (stigma, treatment experiences) as well as intermediate attitudinal variables (continuum and causal beliefs, depression literacy and self-efficacy). Method All variables are examined in an online study (baseline, three- and six-month follow-up). The sample consisted of adults with depressive symptoms (PHQ-9 sum score ≥ 8), currently not receiving mental health care treatment. To examine the prediction of variables explaining help-seeking behaviour, a path model analysis was carried out (lavaan package, software R). Results Altogether, 1368 participants (M age  = 42.38, SD age  = 15.22, 65.6% female) were included, 983 participating in at least one follow-up. Model fit was excellent (i.e., RMSEA = 0.059, CFI = 0.989), and the model confirmed most of the hypothesised predictions. Intermediary variables were significantly associated with stigma and experiences. Depression literacy (ß = .28), continuum beliefs (ß = .11) and openness to a balanced biopsychosocial causal model (ß = .21) significantly influenced self-identification (R 2  = .35), which among the causal beliefs and self-efficacy influenced help-seeking intention (R 2  = .10). Intention (ß = .40) prospectively predicted help-seeking behaviour (R 2  = .16). Conclusion The Seeking Mental Health Care Model provides an empirically validated conceptualisation of the help-seeking process of people with untreated depressive symptoms as a comprehensive approach considering internal influences. Implications and open questions are discussed, e.g., regarding differentiated assessment of self-efficacy, usefulness of continuum beliefs and causal beliefs in anti-stigma work, and replication of the model for other mental illnesses. Trial registration German Clinical Trials Register: DRKS00023557. Registered 11 December 2020. World Health Organization, Universal Trial Number: U1111–1264-9954. Registered 16 February 2021

The differential influence of self-construal on the effect of self-efficacy on the help-seeking process: A quasi-experimental online study among people with untreated depressive symptoms

Background: Despite available professional healthcare, people often delay or avoid help-seeking. Understanding the underlying reasons is crucial and research has explored the role of self-efficacy in this context. Additionally, studies have highlighted the significance of culturally influenced self-construals in individuals' health behaviour. There seems to be a relationship between self-efficacy and self-construal.The aim of the study is to explore the influence of self-efficacy on help-seeking, considering self-construal as a moderator. Differential experiences of self-efficacy and varying associations among help-seeking variables based on self-construal are posited. Methods: A quasi-experimental online study is conducted with a baseline assessment, including self-efficacy interventions, and follow-ups at three and six months. Self-construal groups are compared, i.e., independent vs. interdependent individuals. A series of multi-group path analyses are conducted to examine potential variations in the interventional effects and among the help-seeking variables respective of help-seeking instance, i.e. professional mental health care or informal care. Self-construal functions as the global moderator. Results: The study included N = 1′368 participants, 65.6 % identifying as female and an average age of 42.38 (SD = 15.22). More independent compared to more interdependent individuals were older, more frequently identified as male, had higher socioeconomic status, fewer depressive symptoms, and greater self-efficacy. Multi-group path analyses for professional mental health care (CFI = 0.992, RMSEA = 0.018, SRMR = 0.004) and informal help (CFI = 0.999, RMSEA = 0.004, SRMR = 0.006) demonstrated excellent model fits. The analysis for informal help was interpretable, as the unconstrained model had a significantly better fit than the constrained model. There were varying associations among help-seeking variables based on self-construals. The intervention effect was differential, with independent participants benefiting significantly (β = 0.203), while the effect was non-significant for interdependent participants. Discussion: The study's findings, strengths, and limitations are discussed in relation to current research. Results indicate differential experiences of self-efficacy interventions based on individuals' self-construal. Moreover, varying associations among help-seeking variables suggest self-construal-based differences in their interrelationships. These findings highlight the importance of considering self-construal in health related research

The impact of COVID-19 related lockdown measures on self-reported psychopathology and health-related quality of life in German adolescents

The impact of school-closings on adolescents' mental health and well-being in the management of the ongoing COVID-19 pandemic is subject to ongoing public debate. Reliable data to inform a balanced discussion are limited. Drawing on a large ongoing multi-site project in Germany, we assessed differences in self-reported psychopathology in a matched convenience-sample of adolescents assessed pre- (November 26, 2018 to March 13, 2020; n = 324) and post the first lockdown (March 18, 2020 to August 29, 2020; n = 324) early 2020 in Germany. We found no evidence for an increase in emotional and behavioral problems, depression, thoughts of suicide or suicide attempts, eating disorder symptoms, or a decrease in general health-related quality of life. Reported suicide plans significantly decreased from 6.14 to 2.16%. Similarly, conduct problems decreased in the post-lockdown period. Family risk-factors did not moderate these findings. The influence of socioeconomic status on emotional and behavioral problems as well as depression decreased during the lockdown. Based on the present findings, the first school-closing in Germany had no immediate and severe impact on adolescents' well-being. However, caution is warranted as our data covers a fairly small, affluent sample over a limited time-span and long-term consequences cannot be ruled out

Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set

Background: The COVID-19 pandemic presented major challenges for critical care facilities worldwide. Infections which develop alongside or subsequent to viral pneumonitis are a challenge under sporadic and pandemic conditions; however, data have suggested that patterns of these differ between COVID-19 and other viral pneumonitides. This secondary analysis aimed to explore patterns of co-infection and intensive care unit-acquired infections (ICU-AI) and the relationship to use of corticosteroids in a large, international cohort of critically ill COVID-19 patients.Methods: This is a multicenter, international, observational study, including adult patients with PCR-confirmed COVID-19 diagnosis admitted to ICUs at the peak of wave one of COVID-19 (February 15th to May 15th, 2020). Data collected included investigator-assessed co-infection at ICU admission, infection acquired in ICU, infection with multi-drug resistant organisms (MDRO) and antibiotic use. Frequencies were compared by Pearson's Chi-squared and continuous variables by Mann-Whitney U test. Propensity score matching for variables associated with ICU-acquired infection was undertaken using R library MatchIT using the "full" matching method.Results: Data were available from 4994 patients. Bacterial co-infection at admission was detected in 716 patients (14%), whilst 85% of patients received antibiotics at that stage. ICU-AI developed in 2715 (54%). The most common ICU-AI was bacterial pneumonia (44% of infections), whilst 9% of patients developed fungal pneumonia; 25% of infections involved MDRO. Patients developing infections in ICU had greater antimicrobial exposure than those without such infections. Incident density (ICU-AI per 1000 ICU days) was in considerable excess of reports from pre-pandemic surveillance. Corticosteroid use was heterogenous between ICUs. In univariate analysis, 58% of patients receiving corticosteroids and 43% of those not receiving steroids developed ICU-AI. Adjusting for potential confounders in the propensity-matched cohort, 71% of patients receiving corticosteroids developed ICU-AI vs 52% of those not receiving corticosteroids. Duration of corticosteroid therapy was also associated with development of ICU-AI and infection with an MDRO.Conclusions: In patients with severe COVID-19 in the first wave, co-infection at admission to ICU was relatively rare but antibiotic use was in substantial excess to that indication. ICU-AI were common and were significantly associated with use of corticosteroids

Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave : the global UNITE-COVID study

Purpose To accommodate the unprecedented number of critically ill patients with pneumonia caused by coronavirus disease 2019 (COVID-19) expansion of the capacity of intensive care unit (ICU) to clinical areas not previously used for critical care was necessary. We describe the global burden of COVID-19 admissions and the clinical and organizational characteristics associated with outcomes in critically ill COVID-19 patients. Methods Multicenter, international, point prevalence study, including adult patients with SARS-CoV-2 infection confirmed by polymerase chain reaction (PCR) and a diagnosis of COVID-19 admitted to ICU between February 15th and May 15th, 2020. Results 4994 patients from 280 ICUs in 46 countries were included. Included ICUs increased their total capacity from 4931 to 7630 beds, deploying personnel from other areas. Overall, 1986 (39.8%) patients were admitted to surge capacity beds. Invasive ventilation at admission was present in 2325 (46.5%) patients and was required during ICU stay in 85.8% of patients. 60-day mortality was 33.9% (IQR across units: 20%-50%) and ICU mortality 32.7%. Older age, invasive mechanical ventilation, and acute kidney injury (AKI) were associated with increased mortality. These associations were also confirmed specifically in mechanically ventilated patients. Admission to surge capacity beds was not associated with mortality, even after controlling for other factors. Conclusions ICUs responded to the increase in COVID-19 patients by increasing bed availability and staff, admitting up to 40% of patients in surge capacity beds. Although mortality in this population was high, admission to a surge capacity bed was not associated with increased mortality. Older age, invasive mechanical ventilation, and AKI were identified as the strongest predictors of mortality