Effectiveness of Online Collaborative Care for Treating Mood and Anxiety Disorders in Primary Care: A Randomized Clinical Trial

Effect of depression treatment on health behaviors and cardiovascular risk factors in primary care patients with depression and elevated cardiovascular risk: data from the eIMPACT trial

BACKGROUND

Depression is an independent risk factor for cardiovascular disease (CVD), but it is unknown if successful depression treatment reduces CVD risk.

METHODS

Using eIMPACT trial data, we examined the effect of modernized collaborative care for depression on indicators of CVD risk. A total of 216 primary care patients with depression and elevated CVD risk were randomized to 12 months of the eIMPACT intervention (internet cognitive-behavioral therapy [CBT], telephonic CBT, and select antidepressant medications) or usual primary care. CVD-relevant health behaviors (self-reported CVD prevention medication adherence, sedentary behavior, and sleep quality) and traditional CVD risk factors (blood pressure and lipid fractions) were assessed over 12 months. Incident CVD events were tracked over four years using a statewide health information exchange.

RESULTS

The intervention group exhibited greater improvement in depressive symptoms (p < 0.01) and sleep quality (p < 0.01) than the usual care group, but there was no intervention effect on systolic blood pressure (p = 0.36), low-density lipoprotein cholesterol (p = 0.38), high-density lipoprotein cholesterol (p = 0.79), triglycerides (p = 0.76), CVD prevention medication adherence (p = 0.64), or sedentary behavior (p = 0.57). There was an intervention effect on diastolic blood pressure that favored the usual care group (p = 0.02). The likelihood of an incident CVD event did not differ between the intervention (13/107, 12.1%) and usual care (9/109, 8.3%) groups (p = 0.39).

CONCLUSIONS

Successful depression treatment alone is not sufficient to lower the heightened CVD risk of people with depression. Alternative approaches are needed.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02458690.

Collaborative care approaches for people with severe mental illness

BACKGROUND

Collaborative care for severe mental illness (SMI) is a community-based intervention that promotes interdisciplinary working across primary and secondary care. Collaborative care interventions aim to improve the physical and/or mental health care of individuals with SMI. This is an update of a 2013 Cochrane review, based on new searches of the literature, which includes an additional seven studies.

OBJECTIVES

To assess the effectiveness of collaborative care approaches in comparison with standard care (or other non-collaborative care interventions) for people with diagnoses of SMI who are living in the community.

SEARCH METHODS

We searched the Cochrane Schizophrenia Study-Based Register of Trials (10 February 2021). We searched the Cochrane Common Mental Disorders (CCMD) controlled trials register (all available years to 6 June 2016). Subsequent searches on Ovid MEDLINE, Embase and PsycINFO together with the Cochrane Central Register of Controlled Trials (with an overlap) were run on 17 December 2021.

SELECTION CRITERIA

Randomised controlled trials (RCTs) where interventions described as 'collaborative care' were compared with 'standard care' for adults (18+ years) living in the community with a diagnosis of SMI. SMI was defined as schizophrenia, other types of schizophrenia-like psychosis or bipolar affective disorder. The primary outcomes of interest were: quality of life, mental state and psychiatric admissions at 12 months follow-up.

DATA COLLECTION AND ANALYSIS

Pairs of authors independently extracted data. We assessed the quality and certainty of the evidence using RoB 2 (for the primary outcomes) and GRADE. We compared treatment effects between collaborative care and standard care. We divided outcomes into short-term (up to six months), medium-term (seven to 12 months) and long-term (over 12 months). For dichotomous data we calculated the risk ratio (RR) and for continuous data we calculated the standardised mean difference (SMD), with 95% confidence intervals (CIs). We used random-effects meta-analyses due to substantial levels of heterogeneity across trials. We created a summary of findings table using GRADEpro.

MAIN RESULTS

Eight RCTs (1165 participants) are included in this review. Two met the criteria for type A collaborative care (intervention comprised of the four core components). The remaining six met the criteria for type B (described as collaborative care by the trialists, but not comprised of the four core components). The composition and purpose of the interventions varied across studies. For most outcomes there was low- or very low-certainty evidence. We found three studies that assessed the quality of life of participants at 12 months. Quality of life was measured using the SF-12 and the WHOQOL-BREF and the mean endpoint mental health component scores were reported at 12 months. Very low-certainty evidence did not show a difference in quality of life (mental health domain) between collaborative care and standard care in the medium term (at 12 months) (SMD 0.03, 95% CI -0.26 to 0.32; 3 RCTs, 227 participants). Very low-certainty evidence did not show a difference in quality of life (physical health domain) between collaborative care and standard care in the medium term (at 12 months) (SMD 0.08, 95% CI -0.18 to 0.33; 3 RCTs, 237 participants). Furthermore, in the medium term (at 12 months) low-certainty evidence did not show a difference between collaborative care and standard care in mental state (binary) (RR 0.99, 95% CI 0.77 to 1.28; 1 RCT, 253 participants) or in the risk of being admitted to a psychiatric hospital at 12 months (RR 5.15, 95% CI 0.67 to 39.57; 1 RCT, 253 participants). One study indicated an improvement in disability (proxy for social functioning) at 12 months in the collaborative care arm compared to usual care (RR 1.38, 95% CI 0.97 to 1.95; 1 RCT, 253 participants); we deemed this low-certainty evidence. Personal recovery and satisfaction/experience of care outcomes were not reported in any of the included studies. The data from one study indicated that the collaborative care treatment was more expensive than standard care (mean difference (MD) international dollars (Int$) 493.00, 95% CI 345.41 to 640.59) in the short term. Another study found the collaborative care intervention to be slightly less expensive at three years.

AUTHORS' CONCLUSIONS

This review does not provide evidence to indicate that collaborative care is more effective than standard care in the medium term (at 12 months) in relation to our primary outcomes (quality of life, mental state and psychiatric admissions). The evidence would be improved by better reporting, higher-quality RCTs and the assessment of underlying mechanisms of collaborative care. We advise caution in utilising the information in this review to assess the effectiveness of collaborative care.

Internet-delivered transdiagnostic psychological treatments for individuals with depression, anxiety or both: a systematic review with meta-analysis of randomised controlled trials

OBJECTIVE

Depression and anxiety are major public health problems. This study evaluated the effects of internet-delivered transdiagnostic psychological treatments for individuals with depression, anxiety, or both.

DESIGN

Systematic review with meta-analysis.

DATA SOURCES

Medline (Ovid), Cochrane Library (Wiley), the Web of Science Core Collection (Clarivate), and PsycInfo (EBSCO) were searched on 24 May 2021, with an update on 6 February 2023.

ELIGIBILITY CRITERIA

Randomised controlled trials of internet-delivered transdiagnostic psychological treatments, open to both participants with primary depression and participants with primary anxiety. This review concerned all treatment frameworks, both guided and unguided formats and all age groups.

DATA EXTRACTION AND SYNTHESIS

In random-effects meta-analysis, we estimated pooled effects on depression symptoms and anxiety in terms of Hedges' g with 95% CIs. Absolute and relative heterogeneity was quantified as the τ2 and I 2.

RESULTS

We included 57 trials with 21 795 participants. Nine trials (16%) recruited exclusively from routine care, and three (5%) delivered treatment via video. For adults, large within-group reductions were seen in depression (g=0.90; 95% CI 0.81 to 0.99) and anxiety (g=0.87; 95% CI 0.78 to 0.96). Compared with rudimentary passive controls, the added effects were moderate (depression: g=0.52; 95% CI 0.42 to 0.63; anxiety: g=0.45; 95% CI 0.34 to 0.56) and larger in trials that required all participants to meet full diagnostic criteria for depression or an anxiety disorder. Compared with attention/engagement controls, the added effects were small (depression: g=0.30; 95% CI 0.07 to 0.53; anxiety: g=0.21; 95% CI 0.01 to 0.42). Heterogeneity was substantial, and the certainty of the evidence was very low. Two trials concerned adolescents and reported mixed results. One trial concerned older adults and reported promising results.

CONCLUSION

Internet-delivered transdiagnostic treatments for depression and anxiety show small-to-moderate added effects, varying by control condition. Research is needed regarding routine care, the video format, children and adolescents and older adults.

PROSPERO REGISTRATION NUMBER

CRD42021243172.

Predictors of Use and Drop Out From a Web-Based Cognitive Behavioral Therapy Program and Health Community for Depression and Anxiety in Primary Care Patients: Secondary Analysis of a Randomized Controlled Trial

BACKGROUND

A previously reported study examined the treatment of primary care patients with at least moderate severity depressive or anxiety symptoms via an evidence-based computerized cognitive behavioral therapy (CCBT) program (Beating the Blues) and an online health community (OHC) that included a moderated internet support group. The 2 treatment arms proved to be equally successful at 6-month follow-up.

OBJECTIVE

Although highly promising, e-mental health treatment programs have encountered high rates of noninitiation, poor adherence, and discontinuation. Identifying ways to counter these tendencies is critical for their success. To further explore these issues, this study identified the primary care patient characteristics that increased the chances patients would not initiate the use of an intervention, (ie, not try it even once), initiate use, and go on to discontinue or continue to use an intervention.

METHODS

The study had 3 arms: one received access to CCBT (n=301); another received CCBT plus OHC (n=302), which included a moderated internet support group; and the third received usual care (n=101). Participants in the 2 active intervention arms of the study were grouped together for analyses of CCBT use (n=603) because both arms had access to CCBT, and there were no differences in outcomes between the 2 arms. Analyses of OHC use were based on 302 participants who were randomized to that arm.

RESULTS

Several baseline patient characteristics were associated with failure to initiate the use of CCBT, including having worse physical health (measured by the Short Form Health Survey Physical Components Score, P=.01), more interference from pain (by the Patient-Reported Outcomes Measurement Information System Pain Interference score, P=.048), less formal education (P=.02), and being African American or another US minority group (P=.006). Characteristics associated with failure to initiate use of the OHC were better mental health (by the Short Form Health Survey Mental Components Score, P=.04), lower use of the internet (P=.005), and less formal education (P=.001). Those who initiated the use of the CCBT program but went on to complete less of the program had less formal education (P=.01) and lower severity of anxiety symptoms (P=.03).

CONCLUSIONS

This study found that several patient characteristics predicted whether a patient was likely to not initiate use or discontinue the use of CCBT or OHC. These findings have clear implications for actionable areas that can be targeted during initial and ongoing engagement activities designed to increase patient buy-in, as well as increase subsequent use and the resulting success of eHealth programs.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01482806; https://clinicaltrials.gov/study/NCT01482806.

A meta-analysis on the efficacy of low-intensity cognitive behavioural therapy for generalised anxiety disorder

BACKGROUND

Low-intensity cognitive behavioural therapy (LICBT) has been recommended as a primary intervention in the tiered care for mild to moderate generalised anxiety disorder. However, LICBT for generalised anxiety disorder are markedly diverse and efficacy data on various outcomes have not been systematically reviewed. This meta-analysis aimed to synthesise effect sizes of three NICE-recommended LICBT for generalised anxiety disorder: non-facilitated self-help, guided self-help, and psychoeducational groups.

METHODS

A systematic literature review of randomised controlled trials (RCTs) examining LICBT for generalised anxiety disorder in the last 23 years (2000-2023) was conducted. Efficacy data for anxiety, depression, and worry outcomes were separately meta-analysed. The study was reported following the PRISMA guidelines.

RESULTS

The systematic review identified 12 RCTs out of 1205 papers. The three meta-analyses consisted of 12 (anxiety), 11 (depression), and 9 (worry) effect sizes respectively, including total sample sizes of 1201 (anxiety), 1164 (depression), and 908 (worry). The adjusted effect sizes for reductions in anxiety (g = -0.63), depression (g = -0.48), and worry (g = -0.64) were all in the medium range, favouring LICBT over control conditions. Between-study heterogeneity was significant on anxiety and worry, with no specific moderators identified by meta-regression.

CONCLUSIONS

LICBT has shown promise as an effective and efficient treatment modality for individuals with generalised anxiety disorder. Future research comparing various LICBT subtypes and treatment components will further inform clinical practice.

TRIAL REGISTRATION

This systematic review protocol has been registered with the International Prospective Register of Systematic Reviews (PROSPERO; record ID CRD42021285590).

Effect of modernized collaborative care for depression on brain-derived neurotrophic factor (BDNF) and depressive symptom clusters: Data from the eIMPACT trial

Brain-derived neurotrophic factor (BDNF) levels are lower in people with depression and are normalized following pharmacological treatment. However, it is unknown if psychological treatments for depression improve BDNF and if change in BDNF is a mediator of intervention effects on depressive symptoms. Therefore, using data from the eIMPACT trial, we sought to determine the effect of modernized collaborative care for depression on 12-month changes in BDNF and cognitive/affective and somatic depressive symptom clusters and to examine whether BDNF changes mediate intervention effects on depressive symptoms. 216 primary care patients with depression from a safety net healthcare system were randomized to 12 months of the eIMPACT intervention (internet cognitive-behavioral therapy [CBT], telephonic CBT, and select antidepressant medications) or usual primary care. Plasma BDNF was measured with commercially available kits, and depressive symptom clusters were assessed by the Patient Health Questionnaire-9. The intervention did not influence BDNF but did improve both the cognitive/affective and somatic clusters over 12 months. Changes in BDNF did not mediate the intervention effect on either cluster. Our findings suggest that modernized collaborative care is an effective treatment for both the cognitive/affective and somatic symptoms of depression and that the mechanism of action is not improvements in BDNF. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02458690.

A Collaborative-Care Telephone-Based Intervention for Depression, Anxiety, and at-Risk Drinking in Primary Care: The PARTNERs Randomized Clinical Trial

BACKGROUND

Collaborative care (CC) could improve outcomes in primary care patients with common mental conditions. We assessed the effectiveness of a transdiagnostic model of telephone-based CC (tCC) delivered by lay providers to primary care patients with depression, anxiety, or at-risk drinking.

METHODS

PARTNERS was a pragmatic trial in 502 primary care adults presenting with depressive symptoms, anxiety symptoms, or at-risk drinking randomized to (1) usual care by primary care providers (PCPs) enhanced with the results of computer-assisted telephone-based assessments (at baseline and 4, 8, and 12 months later) (enhanced usual care [eUC]) or (2) tCC consisting of eUC plus frequent telephone coaching and psychoeducation provided by mental health technicians who also communicated to the PCP recommendations from a psychiatrist for evidence-based pharmacotherapy, psychotherapy, or, when indicated, referrals to mental health services. The primary analysis compared the change on the 9-item Patient Health Questionnaire (PHQ-9) in participants presenting with depression (n = 366) randomized to tCC versus eUC. Secondary analyses compared changes on the Generalized Anxiety Disorder-7 scale (GAD-7) in those presenting with anxiety (n = 298); or change in the number of weekly drinks in those presenting with at-risk drinking (n = 176).

RESULTS

There were no treatment or time×treatment effects between tCC and eUC on PHQ-9 scores for patients with depression during the 12-month follow-up. However, there was a treatment effect (tCC > eUC) on GAD-7 scores in those with anxiety and a time×treatment interaction effect on the number of weekly drinks (tCC > eUC) in those with at-risk drinking.

CONCLUSION

Implementing transdiagnostic tCC for common mental disorders using lay providers appears feasible in Canadian primary care. While tCC was not better than eUC for depression, there were some benefits for those with anxiety or at-risk drinking. Future studies will need to confirm whether tCC differentially benefits patients with depression, anxiety, or at-risk drinking.

Piloting a prenatal care smartphone application and care navigation intervention at a federally qualified health center

BACKGROUND

Given that smartphones are widely used among reproductive-age people of all socioeconomic backgrounds, a smartphone application may be a useful supplement to routine prenatal care.

OBJECTIVE

This study aimed to describe the implementation of a smartphone app that offers patient education, depression screening, social determinants of health screening, and care coordination as an adjunct to routine prenatal care at a federally qualified health center. We further sought to characterize app engagement and the association of app use with pregnancy outcomes.

STUDY DESIGN

The implementation of the smartphone app was a quality improvement initiative in which the app was made available to all people receiving prenatal care at a designated federally qualified health center between December 2020 and December 2021. Individuals who both initiated prenatal care at this site before 28 weeks of gestation and delivered at our institution during the above-defined period were studied retrospectively after obtaining institutional approval. Summary statistics were used to describe app implementation and information regarding social determinants of health and depression screening. Demographics and maternal and neonatal outcomes were compared between app enrollees and patients receiving prenatal care at the same site who were not enrolled in the app. Data were analyzed using the 2-sample t test to compare continuous variables and the chi-square test to compare categorical variables.

RESULTS

Overall, 800 patients receiving prenatal care at the federally qualified health center during the identified period were telephonically approached for enrollment in the smartphone app. A total of 613 people (76.6%) were successfully reached, and of those successfully reached, 538 (87.7%) accepted enrollment in the app; 76.6% of app enrollees (n=412) completed at least 1 social determinants of health screen. Of those, 29.1% (n=120) screened positive for at least 1 need. Of those with positive screens, 51.7% (n=62) accepted referral to resources to address the identified need. Furthermore, 81% of app enrollees (n=443) completed at least 1 depression screen. Of those, 13.1% (n=58) screened positive for depression, and 37.9% (n=22) of those with positive screens accepted a referral to behavioral health services. A total of 483 people met the inclusion criteria for retrospective review: 264 were enrolled in the smartphone app and 219 were not. App enrollees were more likely to speak English (79.9% of app group vs 61.6% of the non-app group; P<.0001), identify as Hispanic (52.7% vs 39.7%; P=.02), and be privately insured (24.6% vs 15.5%; P=.005), and less likely to have a social determinants of health-related need (10.0% vs 21.0%; P=.01). There were no significant differences in mode of delivery or maternal and neonatal outcomes between the 2 groups.

CONCLUSION

A high proportion of patients receiving care through our federally qualified health center enrolled in and used the smartphone app and its associated care coordination. This could be a useful tool to screen for depression and adverse social determinants of health in underserved communities. Given that individuals of higher-resource backgrounds seem more likely to enroll in smartphone apps, a more targeted approach is needed to help connect patients of lower-resource backgrounds to smartphone apps and the resources that they offer.

The effect of internet-delivered cognitive behavioral therapy for depression and anxiety on quality of life: A meta-analysis of randomized controlled trials

Although numerous studies have examined the effects of internet-delivered cognitive behavioral therapy (iCBT) for depression and anxiety on quality of life, no meta-analysis has yet been conducted to integrate the results of these studies. We conducted systematic searches in PubMed, Cochrane, and PsycInfo, which included terms for treatment type, modality of delivery, condition, and main outcome. We included studies that met the following inclusion criteria: (a) randomized controlled trials, (b) patients allocated to some form of the control condition, (c) patients receiving some type of treatment of anxiety and/or depression involving Internet-delivered Cognitive Behavioral Therapy, (d) use of a validated outcome measure assessing the level of quality of life, (e) conducted with adult participants diagnosed with anxiety disorder and/or unipolar depression, (f) papers written in English. We analyzed 40 randomized controlled trials with a total of 4289 participants that met inclusion criteria. The pooled between-group effect size for the quality of life overall score was small (g = 0.35, 95 % CI: 0.26-0.44, p = .0001), favoring iCBT over the control conditions. Regarding the distinct quality of life domains measured by the World Health Organization Quality of Life Assessment, a statistically significant difference between iCBT and control conditions was found only for the physical health domain (g = 0.56, 95 % CI: 0.06-1.07, p = .029), in favor of iCBT. In both cases, heterogeneity was moderate. While the effect on the quality of life is small (the overall quality of life score) to moderate (the physical health domain score), we conclude that iCBT for depression and anxiety may be a promising approach for improving the quality of life of patients.

Effect of modernized collaborative care for depression on depressive symptoms and cardiovascular disease risk biomarkers: eIMPACT randomized controlled trial

Although depression is a risk and prognostic factor for cardiovascular disease (CVD), clinical trials treating depression in patients with CVD have not demonstrated cardiovascular benefits. We proposed a novel explanation for the null results for CVD-related outcomes: the late timing of depression treatment in the natural history of CVD. Our objective was to determine whether successful depression treatment before, versus after, clinical CVD onset reduces CVD risk in depression. We conducted a single-center, parallel-group, assessor-blinded randomized controlled trial. Primary care patients with depression and elevated CVD risk from a safety net healthcare system (N = 216, Mage = 59 years, 78% female, 50% Black, 46% with income <$10,000/year) were randomized to 12 months of the eIMPACT intervention (modernized collaborative care involving internet cognitive-behavioral therapy [CBT], telephonic CBT, and/or select antidepressants) or usual primary care for depression (primary care providers supported by embedded behavioral health clinicians and psychiatrists). Outcomes were depressive symptoms and CVD risk biomarkers at 12 months. Intervention participants, versus usual care participants, exhibited moderate-to-large (Hedges' g = -0.65, p < 0.01) improvements in depressive symptoms. Clinical response data yielded similar results - 43% of intervention participants, versus 17% of usual care participants, had a ≥ 50% reduction in depressive symptoms (OR = 3.73, 95% CI: 1.93-7.21, p < 0.01). However, no treatment group differences were observed for the CVD risk biomarkers - i.e., brachial flow-mediated dilation, high-frequency heart rate variability, interleukin-6, high-sensitivity C-reactive protein, β-thromboglobulin, and platelet factor 4 (Hedges' gs = -0.23 to 0.02, ps ≥ 0.09). Our modernized collaborative care intervention - which harnessed technology to maximize access and minimize resources - produced clinically meaningful improvements in depressive symptoms. However, successful depression treatment did not lower CVD risk biomarkers. Our findings indicate that depression treatment alone may not be sufficient to reduce the excess CVD risk of people with depression and that alternative approaches are needed. In addition, our effective intervention highlights the utility of eHealth interventions and centralized, remote treatment delivery in safety net clinical settings and could inform contemporary integrated care approaches. Trial Registration:ClinicalTrials.gov Identifier: NCT02458690.

Anxiety Screening: Evidence Report and Systematic Review for the US Preventive Services Task Force

Importance

Anxiety is commonly seen in primary care and associated with substantial burden.

Objective

To review the benefits and harms of screening and treatment for anxiety and the accuracy of instruments to detect anxiety among primary care patients.

Data Sources

MEDLINE, PsychINFO, Cochrane library through September 7, 2022; references of existing reviews; ongoing surveillance for relevant literature through November 25, 2022.

Study Selection

English-language original studies and systematic reviews of screening or treatment compared with control conditions and test accuracy studies of a priori-selected screening instruments were included. Two investigators independently reviewed abstracts and full-text articles for inclusion. Two investigators independently rated study quality.

Data Extraction and Synthesis

One investigator abstracted data; a second checked accuracy. Meta-analysis results were included from existing systematic reviews where available; meta-analyses were conducted on original research when evidence was sufficient.

Main Outcomes and Measures

Anxiety and depression outcomes; global quality of life and functioning; sensitivity and specificity of screening tools.

Results

Of the 59 publications included, 40 were original studies (N = 275 489) and 19 were systematic reviews (including ≈483 studies [N≈81 507]). Two screening studies found no benefit for screening for anxiety. Among test accuracy studies, only the Generalized Anxiety Disorder (GAD) GAD-2 and GAD-7 screening instruments were evaluated by more than 1 study. Both screening instruments had adequate accuracy for detecting generalized anxiety disorder (eg, across 3 studies the GAD-7 at a cutoff of 10 had a pooled sensitivity of 0.79 [95% CI, 0.69 to 0.94] and specificity of 0.89 [95% CI, 0.83 to 0.94]). Evidence was limited for other instruments and other anxiety disorders. A large body of evidence supported the benefit of treatment for anxiety. For example, psychological interventions were associated with a small pooled standardized mean difference of -0.41 in anxiety symptom severity in primary care patients with anxiety (95% CI, -0.58 to -0.23]; 10 RCTs [n = 2075]; I2 = 40.2%); larger effects were found in general adult populations.

Conclusions and Relevance

Evidence was insufficient to draw conclusions about the benefits or harms of anxiety screening programs. However, clear evidence exists that treatment for anxiety is beneficial, and more limited evidence indicates that some anxiety screening instruments have acceptable accuracy to detect generalized anxiety disorder.

Preliminary examination of acceptability, feasibility, and effectiveness of internet-based cognitive behavioral therapy for treatment of depression and anxiety in infertile women

Background

Despite a large body of evidence supporting the effectiveness of internet-based cognitive behavior therapy (ICBT) for the treatment of depression and anxiety, there is no report of the efficacy of ICBT program in the Iranian population. The present study aimed to test the acceptability, feasibility, and effectiveness of ICBT program for the treatment of depression or anxiety in infertile women.

Method

This study consisted of two phases. In the first phase, we designed "Peaceful Mind", an eight-session therapist-guided ICBT program. In the second phase, we tested the efficacy of the program by conducting 2-arm parallel group, non-inferiority randomized control trial, between October 2020 and July 2021.60 infertile women diagnosed with depression or anxiety disorders were divided randomly to ICBT treatment (n = 30) and face-to face CBT (n = 30). The participants received individual CBT sessions (60 min, over 8 weeks) and completed the questionnaires at the beginning, in mid-trial, and 8 weeks after the trial. The outcomes comprised Beck Depression Inventory (BDI-II), Beck Anxiety Inventory (BAI, Fertility problem inventory (FPI), Client Satisfaction Questionnaire (CSQ-8), and System usability scale (SUS).

Results

The usability scores of the "Peaceful Mind" ICBT (M = 67.07, SD = 17.23, range = 1-100) and satisfaction with the treatment (M = 25.06, SD = 4.18, range = 1-32) were high. Patient adherence to the treatment in the ICBT group (86.6%) was the same as that in the CBT (73.3%). The between-group mean differences at the post-trial were -4.79 (CI 95% = -10.81 to 1.23) for depression scores and -4.15 (CI 95% = -9.52 to 1.22) for anxiety scores; both differences were within the non-inferiority margin points for the lower 95%CI.

Conclusion

"Peaceful mind" ICBT was found to be feasible and accessible for delivering the treatment to the patients. The study confirmed that both ICBT face-to face CBT were equally effective in reducing depression and anxiety of the patients.

Tailoring a Digital Mental Health Program for Patients With Sickle Cell Disease: Qualitative Study

BACKGROUND

Depression and other mental health disorders are prevalent among people living with chronic health conditions. Although digital cognitive behavioral therapy (CBT) is considered an effective treatment, African American individuals are less likely to engage in and adhere to digital therapies for mental health disorders compared with White individuals.

OBJECTIVE

The aim of this study was to understand digital CBT mental health treatment perceptions and preferences of African American individuals with sickle cell disease (SCD).

METHODS

African American individuals with SCD from various US locations were invited to participate in a series of focus groups. Participants were introduced to a health coach-supported mental health app and then asked a series of questions about the usability and appeal of the program as well as, more generally, what would make a digital mental health program effective for them. The authors reviewed the focus group transcripts and conducted a qualitative analysis of the results.

RESULTS

A total of 25 people participated in 5 focus groups. Overall, 5 primary themes emerged regarding how app content and related coaching could be modified to enhance digital CBT engagement. These themes included connection with others living with SCD, the personalization of app content and coaching, characteristics of coaches, journaling and pain tracking, and considerations for optimal engagement.

CONCLUSIONS

Enhancing the user experience by making digital CBT tools relevant to patient populations is critical for optimizing program engagement and its uptake. Our findings highlight potential strategies to modify and design digital CBT tools for users with SCD and may also be applicable to patients with other chronic conditions.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04587661; https://clinicaltrials.gov/ct2/show/NCT04587661.

CBT-informed psychological interventions for adult patients with anxiety and depression symptoms: A narrative review of digital treatment options

BACKGROUND

Across a range of age, educational and clinical characteristics, adults experiencing depression and anxiety already use digital technology to manage their symptoms. Although several reviews and meta-analyses indicated feasibility and efficacy for adults with depression and anxiety, digital treatments are poorly accessed and disseminated. This review illustrates potentials and limitations of interventions that specifically leveraged unique features of digital technology and were grounded in the principles of Cognitive Behavioral Therapy (CBT).

METHODS

This systematic review followed the PRISMA guidelines. An electronic database search was conducted in October 2021. Peer-reviewed, English-language studies were included if i) they reported data from RCTs for adults aged 18+ who engaged with CBT-informed digital interventions targeting primarily depression and anxiety; ii) they used at least PHQ-9 or GAD-7 as standardized and validated assessment self-report measures for depression and anxiety.

RESULTS

Findings from 35 RCTs examining 33 interventions (25 internet-based, 6 mobile-based, a2 mobile/web) are discussed. The quality of the evidence differed widely as many small-scale RCTs reported only short-term feasibility and preliminary efficacy. Effects of CBT-informed digital interventions were substantially larger when compared to waitlist than active control conditions. Greater therapeutic benefits were observed for interventions that offered clinical assistance or were used in combination with other treatments.

CONCLUSIONS

CBT-informed digital interventions have accumulated enough scientific evidence to be positioned today as: i) a low-intensity tool for those with subclinical levels of symptoms; ii) a first step in a stepped-care approach to service delivery iii) a low-cost, easily accessible option for targeted preventive programs.

Management of depression in patients with coronary artery disease: A systematic review

Depression is an independent risk factor for coronary artery disease (CAD). Both illnesses contribute significantly to the global burden of disease. This systematic literature review examines treatment interventions for CAD patients with comorbid depression. We systematically reviewed The Cochrane Library, MEDLINE, EMBASE, PsycINFO, PUBMED, CINAHL and the ISRCTN Registry for English language randomised control trials investigating treatment interventions for depression in adults with CAD and comorbid depression. Data extracted included author name(s), year published, number of participants, enrolment criteria, depression definition/measures (standardised interviews, rating scales), description of control arms and interventions (psychotherapy and/or medications), randomisation, blinding, follow-up duration, follow-up loss, depression scores and medical outcome. The database search revealed 4464 articles. The review yielded 19 trials. Antidepressant and/or psychotherapy did not significantly influence CAD outcomes in the overall population. There was no difference between antidepressant use and aerobic exercises. Psychological interventions and pharmacological interventions provide small effect on depression outcomes in CAD patients. Patient autonomy in choice of treatment is associated with greater depression treatment satisfaction, but the majority of studies are underpowered. More research is required to explore the role of neurostimulation treatment, complementary and alternative treatments.

Qualitative analysis of university counselors' online counseling experiences during the COVID-19 pandemic

This study aimed to reflect on counselors' experiences and the adaptation processes in university counseling centers during the COVID-19 pandemic. Accordingly, 15 counselors and psychologists working at different counseling centers were reached and interviewed. Thematic analysis showed that participants had to adapt to changes brought by the pandemic to continue their services. The adaptation of counseling centers to online practices showed differences according to administrative decisions and technical capacities. As a result of the urgent need to continue providing psychological help, participants moved to online practices, which caused professional and social life changes. Participant attitudes to online counseling were mainly positive. Since students had to move back to their family homes during the pandemic, limited confidentiality was the main problem aside from technological glitches in online sessions. Counselors encountered personal and professional challenges as a result of the ongoing counseling sessions and listed the self-care activities they used.

The Effectiveness of Peer Support in Personal and Clinical Recovery-Systematic Review and Meta-Analysis

OBJECTIVE

Peer support has been shown to support personal recovery from mental illness. It is unclear whether the effects of peer support across different mental illnesses depend on the organizational setting. The authors reviewed the effectiveness of peer support for both personal recovery and clinical recovery of adults with any mental illness and evaluated the effectiveness of peer support in different settings.

METHODS

A systematic review of randomized controlled trials (RCTs) was conducted in PubMed, PsycInfo, CINAHL, Cochrane Library, and Web of Science. A meta-analysis of outcomes of personal and clinical recoveries at the end of interventions was conducted.

RESULTS

In total, 49 RCTs with 12,477 participants with any mental illness were included. Most of the trials had a high risk for bias. Results of the meta-analysis indicated that peer support in general had a small positive effect on personal recovery (standard mean difference [SMD]=0.20; 95% CI=0.11-0.29) and decreased anxiety symptoms (SMD=-0.21; 95% CI=-0.40 to -0.02), with most trials evaluating peers added to mental health-related hospital services. No data for peers in established service roles were available for the meta-analysis. Peer-designed interventions developed to be provided independently of hospital services and delivered in community settings had a modest effect on self-advocacy. A small nonsignificant effect on personal recovery for peer support delivered online was also observed.

CONCLUSIONS

The effect on personal recovery from mental illness was most evident in peer support added to hospital services. High-quality RCTs with comparable cocreated interventions and clear descriptions of mechanisms of change are needed to further investigate peer support efficacy.

Internet-delivered psychological treatment as an add-on to treatment as usual for common mental disorders: A systematic review with meta-analysis of randomized trials

BACKGROUND

Psychological treatments for common mental disorders are increasingly being delivered remotely via the internet. Evidence suggests that internet-delivered cognitive behavioural therapy (iCBT) is superior to waitlist. However, the benefits are unclear of using this treatment modality as an add-on to treatment as usual (TAU) in regular healthcare.

METHODS

The literature was systematically searched up to August 2021 for randomized trials of internet-delivered psychological treatments using TAU as the comparator. Eligible participants were diagnosed with depressive, anxiety, obsessive-compulsive, or trauma- and stress-related disorders. Outcomes of interest were symptoms, functioning, quality of life, healthcare utilization, and negative effects. Results were synthesized using random-effects meta-analyses. Quality of evidence was assessed using GRADE.

RESULTS

The included studies evaluated iCBT for adults with depression (k = 9), depressive or anxiety disorders (k = 4), and post-traumatic stress disorder (k = 2) and were conducted in primary care or similar settings. For depression, low-certainty evidence suggested beneficial short-term effects on symptoms (g = -0.23; 95 % CI: = -0.37, -0.09), response rate (OR = 2.46; 1.31, 4.64), and remission (OR = 1.70; 1.19, 2.42;). The certainty of evidence was very low for long-term effects, other outcomes, and other disorders.

LIMITATIONS

TAU varied across studies and was often insufficiently described.

CONCLUSIONS

iCBT as a complement to usual care for adult with depression may result in a small incremental effect, which potentially could be clinically important. Studies are lacking for several common disorders and for children, adolescents, and the elderly. More robust studies of long-term effects are also needed, to better inform clinical decision-making.

Therapist-guided internet-based cognitive behavioral therapy versus face-to-face CBT for depression/anxiety symptoms in infertile women with adjustment disorders: A randomized controlled trial

Objective: The present study compared the effectiveness of ICBT to face-to-face CBT on the improvement of adjustment disorder symptoms in infertile women.Method: In a pragmatic, multi-center (public or private), single-blinded, non-inferior randomized controlled trial (RCT), 152 patients with AD (100 women in public center and 52 women in private canter) were assigned to ICBT and CBT. Primary outcomes were Adjustment Disorder New Module-20 (ADNM-20) and Hospital Anxiety and Depression (HADS). Secondary outcomes were the Fertility Problem Inventory (FPI) and Fertility Adjustment Scale (FAS).Results: "Peaceful mind" ICBT was feasible and accessible for delivering the treatment to infertile women with AD. At end-of-treatment, improvements in ICBT were non-inferior to CBT for symptoms of AD, anxiety, and depression. Additionally, the non-inferiority of ICBT to CBT was maintained at a three-month follow-up.Conclusions: ICBT was non-inferior to CBT in improving mental symptoms in infertile women with AD.

Preparing a Workforce of Care Coordinators to Address Patient Mental Health Needs in the Digital Age: Training and Needs Identification

Introduction

Care coordinators (CCs) are specialized healthcare providers and often the primary point of contact for patients with multiple medical and mental health comorbidities in integrated healthcare settings. Prior work shows CCs have lower comfort addressing mental health than physical health concerns. Digital mental health interventions can support CCs' management of patient mental health needs, but training gaps must be addressed prior to a digital mental health intervention's implementation.

Methods

As part of a quality improvement initiative, a 1-hour training focused on the assessment and management of depression and suicide-related thoughts and behaviors was delivered to CCs within a large midwestern healthcare system's Division of Ambulatory Care Coordination. CCs completed online surveys prior to and following the training.

Conclusion

Training resulted in increased comfort working with clinical populations, including patients who experience suicide-related thoughts and behaviors. Gains around screening for suicide risk were modest. Brief trainings for CCs can address training gaps, however, ongoing training and case consultation may also be indicated.

Patient-reported outcomes via electronic health record portal versus telephone: a pragmatic randomized pilot trial of anxiety or depression symptoms in epilepsy

Objective

To close gaps between research and clinical practice, tools are needed for efficient pragmatic trial recruitment and patient-reported outcome collection. The objective was to assess feasibility and process measures for patient-reported outcome collection in a randomized trial comparing electronic health record (EHR) patient portal questionnaires to telephone interview among adults with epilepsy and anxiety or depression symptoms.

Materials and Methods

Recruitment for the randomized trial began at an epilepsy clinic visit, with EHR-embedded validated anxiety and depression instruments, followed by automated EHR-based research screening consent and eligibility assessment. Fully eligible individuals later completed telephone consent, enrollment, and randomization. Participants were randomized 1:1 to EHR portal versus telephone outcome assessment, and patient-reported and process outcomes were collected at 3 and 6 months, with primary outcome 6-month retention in EHR arm (feasibility target: ≥11 participants retained).

Results

Participants (N = 30) were 60% women, 77% White/non-Hispanic, with mean age 42.5 years. Among 15 individuals randomized to EHR portal, 10 (67%, CI 41.7%-84.8%) met the 6-month retention endpoint, versus 100% (CI 79.6%-100%) in the telephone group (P = 0.04). EHR outcome collection at 6 months required 11.8 min less research staff time per participant than telephone (5.9, CI 3.3-7.7 vs 17.7, CI 14.1-20.2). Subsequent telephone contact after unsuccessful EHR attempts enabled near complete data collection and still saved staff time.

Discussion

In this randomized study, EHR portal outcome assessment did not meet the retention feasibility target, but EHR method saved research staff time compared to telephone.

Conclusion

While EHR portal outcome assessment was not feasible, hybrid EHR/telephone method was feasible and saved staff time.

Guided Internet-Delivered Treatment for Depression: Scoping Review

BACKGROUND

Studies on guided internet-delivered treatment have demonstrated promising results for patients with depressive disorder.

OBJECTIVE

The aim of this study was to provide an overview of this research area and identify potential gaps in the research.

METHODS

In this scoping review, web-based databases were used to identify research papers published between 2010 and 2022 where guided internet-delivered treatment was administered to participants with depressive disorders, a standardized rating scale of depressive symptoms was used as the primary outcome measure, and the treatment was compared with a control condition.

RESULTS

A total of 111 studies were included, and an overview of the studies was provided. Several gaps in the research were identified regarding the design of the studies, treatments delivered, participant representation, and treatment completion.

CONCLUSIONS

This review provides a comprehensive overview of the research area, and several research gaps were identified. The use of other designs and active control conditions is recommended. Future studies should provide access to treatment manuals, and more replications should be conducted. Researchers should aim to include underrepresented populations and provide reports of comorbidities. Definitions of adequate dosage, reports of completion rates, and reasons for treatment dropout are recommended for future studies.

Randomized controlled trial of Sunnyside: Individual versus group-based online interventions to prevent postpartum depression

BACKGROUND

Postpartum depression (PPD) is a serious mental health problem that has a prevalence rate of nearly 20% in the first three months after delivery. The purpose of this study was to evaluate the benefit of Sunnyside, an internet-based cognitive-behavioral intervention, delivered in a group format compared to the same intervention delivered individually for the prevention of PPD.

METHOD

210 people between 20- and 28-weeks gestation and who scored between 5 and 14 on the PHQ-8 and who did not meet criteria for major depression were recruited online. The Inventory of Depression and Anxiety Symptoms (IDAS), the Hamilton Rating Scale for Depression (HAMD), and the depression and anxiety modules of the MINI were obtained at baseline, post-treatment, and 12-weeks postpartum. Intervention adherence was measured by site usage.

RESULTS

Across self-report and interview measures of depression there were no significant differences in outcome between the group and the individual versions of the program. Rates of major depression and generalized anxiety disorder in the postpartum period were low and adherence to the conditions was similarly high. Participants in the individual condition were significantly more satisfied than participants in the group condition (p < 0.05).

LIMITATIONS

The sample was predominantly white (85%) and recruited online, which may limit generalizability.

CONCLUSIONS

The group intervention was not more effective than the individual intervention. However, ignoring groups, many measures improved over time. The results of this study provide evidence that mood symptoms improve when participating in an online preventive intervention for postpartum depression.

The Appalachia Mind Health Initiative (AMHI): a pragmatic randomized clinical trial of adjunctive internet-based cognitive behavior therapy for treating major depressive disorder among primary care patients

BACKGROUND

Major depressive disorder (MDD) is a leading cause of disease morbidity. Combined treatment with antidepressant medication (ADM) plus psychotherapy yields a much higher MDD remission rate than ADM only. But 77% of US MDD patients are nonetheless treated with ADM only despite strong patient preferences for psychotherapy. This mismatch is due at least in part to a combination of cost considerations and limited availability of psychotherapists, although stigma and reluctance of PCPs to refer patients for psychotherapy are also involved. Internet-based cognitive behaviorial therapy (i-CBT) addresses all of these problems.

METHODS

Enrolled patients (n = 3360) will be those who are beginning ADM-only treatment of MDD in primary care facilities throughout West Virginia, one of the poorest and most rural states in the country. Participating treatment providers and study staff at West Virginia University School of Medicine (WVU) will recruit patients and, after obtaining informed consent, administer a baseline self-report questionnaire (SRQ) and then randomize patients to 1 of 3 treatment arms with equal allocation: ADM only, ADM + self-guided i-CBT, and ADM + guided i-CBT. Follow-up SRQs will be administered 2, 4, 8, 13, 16, 26, 39, and 52 weeks after randomization. The trial has two primary objectives: to evaluate aggregate comparative treatment effects across the 3 arms and to estimate heterogeneity of treatment effects (HTE). The primary outcome will be episode remission based on a modified version of the patient-centered Remission from Depression Questionnaire (RDQ). The sample was powered to detect predictors of HTE that would increase the proportional remission rate by 20% by optimally assigning individuals as opposed to randomly assigning them into three treatment groups of equal size. Aggregate comparative treatment effects will be estimated using intent-to-treat analysis methods. Cumulative inverse probability weights will be used to deal with loss to follow-up. A wide range of self-report predictors of MDD heterogeneity of treatment effects based on previous studies will be included in the baseline SRQ. A state-of-the-art ensemble machine learning method will be used to estimate HTE.

DISCUSSION

The study is innovative in using a rich baseline assessment and in having a sample large enough to carry out a well-powered analysis of heterogeneity of treatment effects. We anticipate finding that self-guided and guided i-CBT will both improve outcomes compared to ADM only. We also anticipate finding that the comparative advantages of adding i-CBT to ADM will vary significantly across patients. We hope to develop a stable individualized treatment rule that will allow patients and treatment providers to improve aggregate treatment outcomes by deciding collaboratively when ADM treatment should be augmented with i-CBT.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04120285 . Registered on October 19, 2019.

Personalized care planning and shared decision making in collaborative care programs for depression and anxiety disorders: A systematic review

BACKGROUND

Collaborative care is an evidence-based approach to improving outcomes for common mental disorders in primary care. Efforts are underway to broadly implement the collaborative care model, yet the extent to which this model promotes person-centered mental health care has been little studied. The aim of this study was to describe practices related to two patient and family engagement strategies-personalized care planning and shared decision making-within collaborative care programs for depression and anxiety disorders in primary care.

METHODS

We conducted an update of a 2012 Cochrane review, which involved searches in Cochrane CCDAN and CINAHL databases, complemented by additional database, trial registry, and cluster searches. We included programs evaluated in a clinical trials targeting adults or youth diagnosed with depressive or anxiety disorders, as well as sibling reports related to these trials. Pairs of reviewers working independently selected the studies and data extraction for engagement strategies was guided by a codebook. We used narrative synthesis to report on findings.

RESULTS

In total, 150 collaborative care programs were analyzed. The synthesis showed that personalized care planning or shared decision making were practiced in fewer than half of programs. Practices related to personalized care planning, and to a lesser extent shared decision making, involved multiple members of the collaborative care team, with care managers playing a pivotal role in supporting patient and family engagement. Opportunities for quality improvement were identified, including fostering greater patient involvement in collaborative goal setting and integrating training and decision aids to promote shared decision making.

CONCLUSION

This review suggests that personalized care planning and shared decision making could be more fully integrated within collaborative care programs for depression and anxiety disorders. Their absence in some programs is a missed opportunity to spread person-centered mental health practices in primary care.

Therapeutic Alliance in Online and Face-to-face Psychological Treatment: Comparative Study

BACKGROUND

Since the COVID-19 pandemic, the number of online mental health treatments have grown exponentially. Additionally, it seems inevitable that this technical resource is here to stay at health centers. However, there is still very little scholarly literature published on this topic, and therefore, the impact of the changes that have had to be dealt with in this regard has not been studied.

OBJECTIVE

This study aims to evaluate the differences in the establishment of the therapeutic alliance (TA) based on the intervention modality (online or face-to-face), the type of attachment, and diagnosis.

METHODS

A total of 291 subjects participated in the study, 149 (51.2%) of whom were men and 142 were (48.8%) women between the ages of 18 and 30 years. The instruments used were sociodemographic data, SOFTA-o (System for Observing Family Therapeutic Alliances-observational), and Relationship Questionnaire.

RESULTS

The results show that the treatments conducted face-to-face obtain significantly better scores in the creation of the TA than those conducted online (t=-42.045, df=289, P<.001). The same holds true with attachment, in that users with secure attachment show a better TA than those with insecure attachment (t=6.068, P<.001,), although there were no significant differences with the diagnosis (F=4.566, P=.44), age (r=0.02, P=.70), and sex (t=0.217, P=.33).

CONCLUSIONS

We believe that professionals are not yet prepared to conduct remote treatment with a degree of efficacy similar to that of face-to-face. It is essential for professionals to receive training in this new technical resource and to understand and incorporate the variants it entails into their daily practice.

Mental health consequences of COVID-19 pandemic among college students and coping approaches adapted by higher education institutions: A scoping review

Severe acute respiratory syndrome coronavirus – SARS CoV 2 (COVID 19) has posed a dire threat, not only to physical health but also to mental health, impacting our overall lifestyles. In addition to these threats, there have been unique challenges for different subsets of the population. Likewise, college students including research scholars are facing a variety of challenges in response to the COVID-19 outbreak. The scoping review maps existing literature on the mental health of college students in the times of COVID-19, approaches adopted by universities and academic institutions to help students cope with challenges posed by COVID-19 and draws lessons learnt and potential opportunities for integrating mental health promotion as part of routine services, particularly in low-and-middle-income countries context such as India. Four electronic databases (PubMed, PsycINFO, Scopus and Google Scholar) were searched following Arksey and O'Malley's scoping review process. Out of the total 1038 screened records, thirty-six studies were included in the review. Data characteristics such as the type of document, intervention and outcome were extracted. Data were synthesized using thematic content analysis. The fact that the COVID-19 pandemic has impacted the mental health of students, accentuates the urgent need to understand these concerns to inform the action and public mental health interventions that can better support college students to cope with the crisis.

Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review

BACKGROUND

The collaborative care model (CoCM) is a well-established system of behavioral health care in primary care settings. There is potential for digital and mobile technology to augment the CoCM to improve access, scalability, efficiency, and clinical outcomes.

OBJECTIVE

This study aims to conduct a scoping review to synthesize the evidence available on digital and mobile health technology in collaborative care settings.

METHODS

This review included cohort and experimental studies of digital and mobile technologies used to augment the CoCM. Studies examining primary care without collaborative care were excluded. A literature search was conducted using 4 electronic databases (MEDLINE, Embase, Web of Science, and Google Scholar). The search results were screened in 2 stages (title and abstract screening, followed by full-text review) by 2 reviewers.

RESULTS

A total of 3982 nonduplicate reports were identified, of which 20 (0.5%) were included in the analysis. Most studies used a combination of novel technologies. The range of digital and mobile health technologies used included mobile apps, websites, web-based platforms, telephone-based interactive voice recordings, and mobile sensor data. None of the identified studies used social media or wearable devices. Studies that measured patient and provider satisfaction reported positive results, although some types of interventions increased provider workload, and engagement was variable. In studies where clinical outcomes were measured (7/20, 35%), there were no differences between groups, or the differences were modest.

CONCLUSIONS

The use of digital and mobile health technologies in CoCM is still limited. This study found that technology was most successful when it was integrated into the existing workflow without relying on patient or provider initiative. However, the effect of digital and mobile health on clinical outcomes in CoCM remains unclear and requires additional clinical trials.

Challenges experienced by nursing students during the COVID-19 pandemic

PURPOSE

This study was conducted to assess the challenges faced by nursing students during the pandemic and to examine the factors affecting these challenges.

DESIGN AND METHODS

This qualitative study involved 344 nursing students at a university in eastern Turkey.

FINDINGS

Five main themes, each with its own subthemes, indicated the psychological difficulties experienced by students, insufficiencies and uncertainties regarding education, restrictions regarding social life, family conflicts, and the possibility to turn crises into opportunities.

PRACTICE IMPLICATIONS

The themes emphasizing the lives of nursing students showed that there was a need for important measures, such as psychosocial support, determination of best practices for online education, supporting students with telemental applications by university counseling centres, and organization of action courses.

An Exploration of Online Support Community Participation Among Patients With Vestibular Disorders

OBJECTIVES/HYPOTHESIS

To formally document online support community (OSC) use among patients with vestibular symptoms and gain an appreciation for the perceived influence of participation on psychosocial outcomes and the impact on medical decision-making.

STUDY DESIGN

Self reported internet-based questionnaire.

METHODS

The Facebook search function was paired with a comprehensive list of vestibular diagnoses to systematically collect publicly available information on vestibular OSCs. Next, a survey was designed to gather clinicodemographic information, OSC characteristics, participation measures, perceived outcomes, and influence on medical decision-making. The anonymous instrument was posted to two OSCs that provide support for patients with general vestibular symptoms.

RESULTS

Seventy-three OSCs were identified with >250,000 cumulative members and >10,000 posts per month. The survey was completed by 549 participants, a cohort of primarily educated middle-aged (median = 50, interquartile range 40-60), non-Hispanic white (84%), and female (89%) participants. The participants' most cited initial motivation and achieved goal of participants was to hear from others with the same diagnosis (89% and 88%, respectively). Daily users and those who reported seeing ≥5 providers before receiving a diagnosis indicated that OSC utilization significantly influenced their requested medical treatments (72% daily vs. 61% nondaily, P = .012; 61% <5 providers vs. 71% ≥5 providers P = .019, respectively). Most participants agreed that OSC engagement provides emotional support (74%) and helps to develop coping strategies (68%). Membership of ≥1 year was associated with a higher rate of learned coping skills (61% membership <1-year vs. 71% ≥1-year P = .016).

CONCLUSIONS

The use of OSCs is widespread among vestibular diagnoses. A survey of two OSCs suggests these groups provide a significant source of peer support and can influence users' ability to interface with the medical system.

LEVEL OF EVIDENCE

N/A Laryngoscope, 2021.

A randomized pilot study of Rhythms And You (RAY): An internet-based program for bipolar disorder administered with and without clinical helper support in primary care

BACKGROUND

Rhythms And You (RAY) is an online intervention for bipolar disorders (BD) based on Interpersonal and Social Rhythm Therapy. We examined RAY's feasibility and acceptability for individuals with BD recruited from primary care. Because online interventions may be more effective when paired with human support, we evaluated RAY with and without weekly brief (∼5 min) calls from clinical helpers (CH).

METHODS

Participants (n = 47) meeting criteria for BD I, II or other specified BD, presenting for primary care, were randomly assigned to RAY, RAY-CH, or Adjunctive Reading Material (ARM) control. RAY consisted of 12 weekly online modules. ARM consisted of 12 weekly emails. Participants were assessed at baseline, 4, 8, and 12 weeks.

RESULTS

RAY showed high completion rates and Client Satisfaction Questionnaire scores (36/47, 77% and 25.1 ± 5.5, respectively; no group differences). Effect sizes for RAY- CH ranged from small [Internal State Scale-Activation Subscale (ISS-ACT); d = 0.3] to large [SF-12 Mental Health Composite Score (SF-12 MHC); d = 1.3]. ARM also showed moderate effects (ISS-ACT d = 0.7; Quick Inventory of Depressive Symptoms, d = 0.8). SF-12 MHC scores showed a time*group interaction (F = 2.38, df = 6,32, p = 0.05) favoring RAY-CH. Number of logins trended toward significant association with improved social rhythm regularity (F = 4.09, df = 1, 17, p = 0.06).

LIMITATIONS

Sample size is small, limiting conclusions that can be drawn.

CONCLUSIONS

Remote delivery of RAY for individuals with BD is feasible and acceptable. More time spent engaged in RAY was associated with greater improvement in social rhythm regularity. Preliminary evidence suggests adding brief human support to RAY may yield better outcomes.

Examining the Effectiveness of Gamification in Mental Health Apps for Depression: Systematic Review and Meta-analysis

BACKGROUND

Previous research showed that computerized cognitive behavioral therapy can effectively reduce depressive symptoms. Some mental health apps incorporate gamification into their app design, yet it is unclear whether features differ in their effectiveness to reduce depressive symptoms over and above mental health apps without gamification.

OBJECTIVE

The aim of this study was to determine whether mental health apps with gamification elements differ in their effectiveness to reduce depressive symptoms when compared to those that lack these elements.

METHODS

A meta-analysis of studies that examined the effect of app-based therapy, including cognitive behavioral therapy, acceptance and commitment therapy, and mindfulness, on depressive symptoms was performed. A total of 5597 articles were identified via five databases. After screening, 38 studies (n=8110 participants) remained for data extraction. From these studies, 50 total comparisons between postintervention mental health app intervention groups and control groups were included in the meta-analysis.

RESULTS

A random effects model was performed to examine the effect of mental health apps on depressive symptoms compared to controls. The number of gamification elements within the apps was included as a moderator. Results indicated a small to moderate effect size across all mental health apps in which the mental health app intervention effectively reduced depressive symptoms compared to controls (Hedges g=-0.27, 95% CI -0.36 to -0.17; P<.001). The gamification moderator was not a significant predictor of depressive symptoms (β=-0.03, SE=0.03; P=.38), demonstrating no significant difference in effectiveness between mental health apps with and without gamification features. A separate meta-regression also did not show an effect of gamification elements on intervention adherence (β=-1.93, SE=2.28; P=.40).

CONCLUSIONS

The results show that both mental health apps with and without gamification elements were effective in reducing depressive symptoms. There was no significant difference in the effectiveness of mental health apps with gamification elements on depressive symptoms or adherence. This research has important clinical implications for understanding how gamification elements influence the effectiveness of mental health apps on depressive symptoms.

Internet-Based Psychotherapy Intervention for Depression Among Older Adults Receiving Home Care: Qualitative Study of Participants' Experiences

BACKGROUND

Depression is common among homebound older adults. Internet-based cognitive behavioral therapy (iCBT) is a promising but understudied approach for treating depression among older adults with disabilities.

OBJECTIVE

This study aims to understand the experiences of homebound older adults who participated in a pilot feasibility trial of an iCBT for depression.

METHODS

The participants included 21 homebound older adults who participated in a generic iCBT program that was not specifically designed for older adults and 8 home care workers who assisted in the iCBT program. Informants completed semistructured individual interviews, which were transcribed verbatim and analyzed using methods informed by grounded theory. A hierarchical code structure of themes and subthemes was developed after an iterative process of constant comparisons and questionings of the initial codes. The data analysis was conducted by using dedoose, a web app for mixed methods research.

RESULTS

Three themes and various subthemes emerged related to participants' experience of the iCBT intervention, as follows: intervention impact, which involved subthemes related to participants' perceived impact of the intervention; challenges and difficulties, which involved subthemes on the challenges and difficulties that participants experienced in the intervention; and facilitators, which involved subthemes on the factors that facilitated intervention use and engagement.

CONCLUSIONS

iCBT is a promising intervention for homebound older adults experiencing depression. Home care workers reported improved relationships with their clients and that the program did not add a burden to their duties. Future programs should involve accessible technical features and age-adapted content to improve user experience, uptake, and adherence.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04267289; https://clinicaltrials.gov/ct2/show/NCT04267289.

Technology-Assisted Collaborative Care Program for People with Diabetes and/or High Blood Pressure Attending Primary Health Care: A Feasibility Study

The comorbidity of depression with physical chronic diseases is usually not considered in clinical guidelines. This study evaluated the feasibility of a technology-assisted collaborative care (TCC) program for depression in people with diabetes and/or high blood pressure (DM/HBP) attending a primary health care (PHC) facility in Santiago, Chile. Twenty people diagnosed with DM/HBP having a Patient Health Questionnaire-9 score ≥ 15 points were recruited. The TCC program consisted of a face-to-face, computer-assisted psychosocial intervention (CPI, five biweekly sessions), telephone monitoring (TM), and a mobile phone application for behavioral activation (CONEMO). Assessments of depressive symptoms and other health-related outcomes were made. Thirteen patients completed the CAPI, 12 received TM, and none tried CONEMO. The TCC program was potentially efficacious in treating depression, with two-thirds of participants achieving response to depression treatment 12 weeks after baseline. Decreases were observed in depressive symptoms and healthcare visits and increases in mental health-related quality of life and adherence to treatment. Patients perceived the CPI as acceptable. The TCC program was partially feasible and potentially efficacious for managing depression in people with DM/HBP. These data are valuable inputs for a future randomized clinical trial.

The Impact of Optimism and Pain Interference on Response to Online Behavioral Treatment for Mood and Anxiety Symptoms

OBJECTIVE

This study aimed to explore a) if high pain interference has a negative effect on response to computerized cognitive behavioral therapy (cCBT) for anxiety and depression and b) whether high optimism can buffer the negative effects of pain interference on cCBT outcomes.

METHODS

We performed a secondary analysis of data on 403 participants from the randomized controlled clinical trial "Online Treatment for Mood and Anxiety Disorders in Primary Care." It examined the impact of cCBT, with and without access to an Internet support group, on health-related quality of life (HRQoL), mood, and anxiety symptoms.

RESULTS

High versus low pain interference had a negative effect on response to cCBT for physical HRQoL regardless of high or low optimism level (between group difference = -3.46 [-5.89 to -1.03], p = .005, or -4.06 [-6.28 to -1.85], p < .001, respectively). However, in the context of low optimism/high pain interference only negatively impacted the effect of cCBT on mental HRQoL (3.68 [0.63 to 6.73], p = .018) and anxiety symptoms (-2.61 [-4.87 to -0.35], p = .024). Although the pattern of effects was similar for depressive symptoms, the between-group differences were not significant.

CONCLUSIONS

High optimism may buffer against the negative effects of pain interference on treatment response from cCBT. Primary care patients who report high pain interference yet also lack optimism may not receive as much benefit from cCBT as other groups. Furthermore, this study found an unexpected positive effect of low optimism on treatment response. For depressed and anxious patients with low pain interference, low optimism enhanced the impact of cCBT on mental HRQoL.Trial Registration:ClinicalTrials.gov Identifier: NCT01482806.

Latent class analysis of depression and anxiety among medical students during COVID-19 epidemic

OBJECTIVE

The novel coronavirus disease 2019 (COVID-19) is a global public health emergency that has caused worldwide concern. The mental health of medical students under the COVID-19 epidemic has attracted much attention. This study aims to identify subgroups of medical students based on depression and anxiety and explore the influencing factors during the COVID-19 epidemic in China.

METHODS

A total of 29,663 medical students were recruited during the epidemic of COVID-19 in China. Depression and anxiety symptoms were assessed using Patient Health Questionnaire 9 (PHQ9) and Generalized Anxiety Disorder 7 (GAD7) respectively. Latent class analysis was performed based on depression and anxiety symptoms in medical students. The latent class subtypes were compared using the chi-square test. Multinomial logistic regression was used to examine associations between identified classes and related factors.

RESULTS

In this study, three distinct subgroups were identified, namely, the poor mental health group, the mild mental health group and the low symptoms group. The number of medical students in each class is 4325, 9321 and 16,017 respectively. The multinomial logistic regression results showed that compared with the low symptoms group, the factors influencing depression and anxiety in the poor mental health group and mild mental health group were sex, educational level, drinking, individual psychiatric disorders, family psychiatric disorders, knowledge of COVID-19, fear of being infected, and participate in mental health education on COVID-19.

CONCLUSIONS

Our findings suggested that latent class analysis can be used to categorize different medical students according to their depression and anxiety symptoms during the outbreak of COVID-19. The main factors influencing the poor mental health group and the mild mental health group are basic demographic characteristics, disease history, COVID-19 related factors and behavioural lifestyle. School administrative departments can carry out targeted psychological counseling according to different subgroups to promote the physical and mental health of medical students.

Can a little bit of mindfulness do you good? A systematic review and meta-analyses of unguided mindfulness-based self-help interventions

Over the last decade there has been an explosion of interest in mindfulness-based self-help (MBSH) interventions. While widely available and extensively promoted, there is little consensus on their impact in public health or healthcare contexts. We present a systematic review and meta-analyses of 83 randomized controlled trials, comparing unguided MBSH to control conditions on outcomes of depression, mindfulness, anxiety, stress and/or wellbeing/ quality of life. A random effects model was used to compute post-intervention, between-groups effect sizes for each outcome. MBSH demonstrated small, statistically significant effects at post-interventions for outcomes of depression (g = -0.23), mindfulness (g = 0.37) anxiety (g = -0.25), stress (g = -0.41) and wellbeing/ quality of life (g = 0.34). Significant effects were retained at follow-up for mindfulness, stress and wellbeing/ quality of life but not for depression or anxiety. Planned moderator analyses demonstrated significantly larger effects of MBSH when compared to inactive, versus active-control conditions on all outcomes except wellbeing/ quality of life, and non-digital MBSH interventions demonstrated significantly greater effects on depression, mindfulness and wellbeing/ quality of life outcomes than digitally-delivered MBSH. When studies that utilised samples selected for mental and physical health-related difficulties were respectively compared to studies that utilised unselected samples, no significant moderation effects were observed. In sum, these findings provide evidence for the effectiveness of unguided MBSH in public health settings and the practical, access-related implications of this are discussed.

Association of Syndemic Unhealthy Alcohol Use, Smoking, and Depressive Symptoms on Incident Cardiovascular Disease among Veterans With and Without HIV-Infection

Unhealthy alcohol use, smoking, and depressive symptoms are risk factors for cardiovascular disease (CVD). Little is known about their co-occurrence - termed a syndemic, defined as the synergistic effect of two or more conditions-on CVD risk in people with HIV (PWH). We used data from 5621 CVD-free participants (51% PWH) in the Veteran's Aging Cohort Study-8, a prospective, observational study of veterans followed from 2002 to 2014 to assess the association between this syndemic and incident CVD by HIV status. Diagnostic codes identified cases of CVD (acute myocardial infarction, stroke, heart failure, peripheral artery disease, and coronary revascularization). Validated measures of alcohol use, smoking, and depressive symptoms were used. Baseline number of syndemic conditions was categorized (0, 1, ≥ 2 conditions). Multivariable Cox Proportional Hazards regressions estimated risk of the syndemic (≥ 2 conditions) on incident CVD by HIV-status. There were 1149 cases of incident CVD (52% PWH) during the follow-up (median 10.1 years). Of the total sample, 64% met our syndemic definition. The syndemic was associated with greater risk for incident CVD among PWH (Hazard Ratio [HR] 1.87 [1.47-2.38], p < 0.001) and HIV-negative veterans (HR 1.70 [1.35-2.13], p < 0.001), compared to HIV-negative with zero conditions. Among those with the syndemic, CVD risk was not statistically significantly higher among PWH vs. HIV-negative (HR 1.10 [0.89, 1.37], p = .38). Given the high prevalence of this syndemic combined with excess risk of CVD, these findings support linked-screening and treatment efforts.

Roles of social media and counselling support in reducing anxiety among Malaysian during Covid-19 pandemic

Covid-19 pandemic has created crises among some Malaysians. The crises have both opportunity and threat impacts. Without proper intervention, some people will develop stress, anxiety, and depression. This study aims to explore the emotional anxiety that exists in the society due to Covid-19 pandemic and the roles of social media and counselling support in reducing anxiety among Malaysians. This quantitative research involved online survey throughout the country. The online survey is administered during the First Phase and the Second Phase of Movement Control Order (MCO). The survey contains 13 items which cover three domain: i) anxiety, ii) roles of social media, and iii) roles of counselling support in reducing anxiety among members of the society. There were 8375 respondents from various age groups, locations, as well as economic and educational statuses involved in the study. Data were analysed using descriptive and inferential analysis. Majority of 7233 (86.6%) respondents felt anxious due to Covid-19 pandemic. A total of 7871 respondents (94%) followed the latest updates on Covid-19 to reduce their anxiety. They used social media such as Facebook, Instagram and Twitter to gather information and follow the updates through television and press conference. A total of 5251 respondents (62.7%) were aware of the counselling support provided during the MCO, and 4603 respondents (55%) felt comfortable to have counselling support by phone. The findings will contribute to knowledge on the society's emotional anxiety in facing Covid-19. It reflects the actual situation happened in Malaysia during Covid-19 and MCO.

Remote Collaborative Care with Off-Site Behavioral Health Care Managers: A Systematic Review of Clinical Trials

BACKGROUND

In the United States, the majority of patients who require behavioral health care do not receive it due to an overall shortage of behavioral health specialists. The Collaborative Care Model (CoCM) is a team-based, highly-coordinated approach to treating common mental health conditions in primary care that has a robust evidence base. Several recent randomized controlled trials (RCTs) have demonstrated the effectiveness of remote CoCM teams. As telehealth technology and uptake expands, understanding the evidence for remote CoCM becomes increasingly crucial to inform CoCM practice and implementation.

OBJECTIVE

To systematically review RCTs regarding the effectiveness of remote CoCM teams in treating common psychiatric conditions in primary care and medical settings.

METHODS

Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were used to structure our review. Our search strategy and development of search terms was informed by knowledge and review of the CoCM literature. Articles were reviewed by three authors and once selected, sent to two authors for further data extraction to describe various study characteristics and process measures relating to remote CoCM.

RESULTS

The literature search identified 13,211 articles, nine of which met inclusion criteria. The nine studies collectively demonstrate effectiveness of remote CoCM in treating a range of behavioral health conditions [(depression (n=7), anxiety (n=2), and PTSD (n=1)], across various populations and settings. Sample sizes ranged from 191 patients to 704 patients, publication dates from 2004 to 2018, and studies were conducted from 2000 to 2014. Various process measures were also reported.

CONCLUSIONS

As the nine studies included in our systematic review demonstrate, remote CoCM can be effective in treating a range of behavioral health conditions in various primary care and specialty medical settings. These findings suggest organizations may have more flexibility in building their CoCM team and drawing upon wider workforces than previously recognized. As recent shifts in telehealth policy and practice continue to motivate telehealth approaches, further research that can inform best practices for remote CoCM will be useful and valuable to those making organizational decisions when implementing integrated care models.

A Newly Developed Online Peer Support Community for Depression (Depression Connect): Qualitative Study

Background

Internet support groups enable users to provide peer support by exchanging knowledge about and experiences in coping with their illness. Several studies exploring the benefits of internet support groups for depression have found positive effects on recovery-oriented values, including empowerment. However, to date, little attention has been paid to user narratives.

Objective

This study aims to capture the user perspective on an online peer support community for depression with a focus on the modes of user engagement and the benefits users derive from participation in the forum.

Methods

In this qualitative study, we conducted 15 semistructured interviews with users of Depression Connect, a newly developed online peer support community for individuals with depression. Combining a concept-driven and a data-driven approach, we aimed to gain insight into what users value in our Depression Connect platform and whether and how the platform promotes empowerment. We performed a thematic analysis to explore the merits and demerits reported by users by using theoretical concepts widely used in internet support group research. In the subsequent data-driven analysis, we sought to understand the relationship between different styles of user engagement and the participants’ experiences with the use of Depression Connect. Data analysis consisted of open, axial, and selective coding. To include as diverse perspectives as possible, we opted for purposive sampling. To verify and validate the (interim) results, we included negative cases and performed member checks.

Results

We found participation in Depression Connect contributes to a sense of belonging, emotional growth, self-efficacy, and empowerment. “Getting too caught up” was the most frequently reported negative aspect of using Depression Connect. The deployment and development of three participation styles (ie, reading, posting, and responding) affected the perceived benefits of Depression Connect use differentially, where the latter style was central to enhancing empowerment. “Being of value to others” boosted the users’ belief in their personal strength. Finally, Depression Connect was predominantly used to supplement offline support and care for depression, and it mainly served as a safe environment where members could freely reflect on their coping mechanisms for depression and exchange and practice coping strategies.

Conclusions

Our findings shed new light on user engagement processes on which internet support groups rely. The online community primarily served as a virtual meeting place to practice (social) skills for deployment in the offline world. It also allowed the members to learn from each other’s knowledge and experiences and explore newly gained insights and coping skills.

Blinding in randomised clinical trials of psychological interventions: a retrospective study of published trial reports

OBJECTIVES

To study the extent of blinding in randomised clinical trials of psychological interventions and the interpretative considerations if randomised clinical trials are not blinded.

DESIGN

Retrospective study of trial reports published in six high impact factor journals within the field of psychiatry in 2017 and 2018.

SETTING

Trial reports published in World Psychiatry, JAMA Psychiatry, Lancet Psychiatry, American Journal of Psychiatry, British Journal of Psychiatry, or Psychotherapy and Psychosomatics.

MAIN OUTCOME MEASURES

Blinding status of participants, treatment providers, outcome assessors, data managers, the data safety and monitoring committee, statisticians and conclusion makers, if trialists rejected the null hypothesis on the primary outcome measure, and if trialists discussed the potential bias risk from lack of blinding in the published trial report.

RESULTS

63 randomised clinical trials of psychological interventions were identified. None (0%; 95% CI 0% to 5.75%) of the trials reported blinding of all possible key persons. 37 (58.7%; 95% CI 46.42% to 70.04%) trials reported blinding of outcome assessors. Two (3.2%; 95% CI 0.87% to 10.86%) trials reported blinding of participants. Two (3.2%; 95% CI 0.87% to 10.86%) trials reported blinding of data managers. Three (4.8%; 95% CI 1.63% to 13.09%) trials reported blinding of statisticians. None of the trials reported blinding of treatment providers, the data safety and monitoring committee, and conclusion makers. 45 (71.4%; 95% CI 59.30% to 81.10%) trials rejected the null hypothesis on the primary outcome(s). 13 (20.7%; 95% CI 12.48% to 32.17%) trials discussed the potential bias risk from lack of blinding in the published trial report.

CONCLUSIONS

Blinding of key persons involved in randomised clinical trials of psychological interventions is rarely sufficiently documented. The possible interpretative limitations are only rarely considered. There is a need of randomised clinical trials of psychological interventions with documented blinding attempts of all possible key persons.

A therapist-guided smartphone app for major depression in young adults: A randomized clinical trial

BACKGROUND

Meru Health Program (MHP) is a therapist-guided, 8-week intervention for depression delivered via smartphone. The aim was to test its efficacy in patients with clinical depression in a Finnish university student health service.

METHODS

Patients (n=124, women 72.6%, mean age 25y) were stratified based on antidepressant status, and randomized into intervention group receiving MHP plus treatment as usual (TAU), and control group receiving TAU only. Depression, measured by the Patient Health Questionnaire-9 (PHQ-9) scale, was the primary outcome. After baseline (T0), follow-ups were at mid-intervention (T4), immediately post-intervention (T8); 3 months (T20), and 6 months (T32) post-intervention.

RESULTS

The intervention group and control group did not have significant differences in depression outcomes throughout end of treatment and follow-up. Among secondary outcomes, increase in resilience (d=0.32, p=0.03) and mindfulness (d=0.57, p=0.002), and reduction in perceived stress (d=-0.52, p=0.008) were greater in MHP+TAU versus TAU at T32; no differences were found in anxiety, sleep disturbances, and quality of life between groups. Post-hoc comparisons of patients on antidepressants showed significantly greater reduction in depression at T32 for MHP+TAU versus TAU (d=-0.73, p=0.01); patients not on antidepressants showed no between-group differences.

LIMITATIONS

Limitations include unknown characteristics of TAU, potential bias from patients and providers not being blinded to treatment group, and failure to specify examination of differences by antidepressant status in the protocol.

CONCLUSIONS

Most outcomes, including depression, did not significantly differ between MHP+TAU and TAU. Exploratory analysis revealed intervention effect at the end of the 6-month follow-up among patients on antidepressant medication.

Deployment of the consultation-liaison model in adult and child-adolescent psychiatry and its impact on improving mental health treatment

Background

Little information exists on the perceptions of psychiatrists regarding the implementation and various impacts of the consultation-liaison model. This model has been used in Quebec (Canada) through the function of specialist respondent-psychiatrists (SRP) since 2009. This study assessed the main activities, barriers or facilitators, and impact of SRP in adult and child-adolescent psychiatry on the capacity of service providers in primary care and youth centers to treat patients with mental health disorders (MHD).

Methods

Data included 126 self-administered questionnaires from SRP and semi-structured interviews from 48 SRP managers. Mixed methods were used, with qualitative findings from managers complementing the SRP survey. Comparative analyses of SRP responses in adult versus child-adolescent psychiatry were also conducted.

Results

Psychiatrists dedicated a median 24.12 h/month to the SRP function, mainly involving case discussions with primary care teams or youth centers. They were confident about the level of support they provided and satisfied with their influence in clinical decision-making, but less satisfied with the support provided by their organizations. SRP evaluated their impacts on clinical practice as moderate, particularly among general practitioners (GP). SRP working in child-adolescent psychiatry were more comfortable, motivated, and positive about their overall performance and impact than in adult psychiatry. Organizational barriers (e.g. team instability) were most prevalent, followed by system-level factors (e.g. network size and complexity, lack of resources, model inflexibility) and individual factors (e.g. GP reluctance to treat patients with MHD). Organizational facilitators included support from family medicine group directors, collaboration with university family medicine groups and coordination by liaison nurses; at the system level, pre-existing relationships and working in the same institution; while individual-level facilitators included SRP personality and strong organizational support.

Conclusion

Quebec SRP were implemented sparingly in family medicine groups and youth centers, while SRP viewed their overall impact as moderate. Results were more positive in child-adolescent psychiatry than in adult psychiatry. Increased support for the SRP function, adapting the model to GP in need of more direct support, and resolving key system issues may improve SRP effectiveness in terms of team stability, coordination among providers, access to MH services and readiness to implement innovations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-021-01437-5.

Telepsychiatry adoption across hospitals in the United States: a cross-sectional study

BACKGROUND

Access to psychiatric care is critical for patients discharged from hospital psychiatric units to ensure continuity of care. When face-to-face follow-up is unavailable or undesirable, telepsychiatry becomes a promising alternative. This study aimed to investigate hospital- and county-level characteristics associated with telepsychiatry adoption.

METHODS

Cross-sectional national data of 3475 acute care hospitals were derived from the 2017 American Hospital Association Annual Survey. Generalized linear regression models were used to identify characteristics associated with telepsychiatry adoption.

RESULTS

About one-sixth (548 [15.8%]) of hospitals reported having telepsychiatry with a wide variation across states. Rural noncore hospitals were less likely to adopt telepsychiatry (8.3%) than hospitals in rural micropolitan (13.6%) and urban counties (19.4%). Hospitals with both outpatient and inpatient psychiatric care services (marginal difference [95% CI]: 16.0% [12.1% to 19.9%]) and hospitals only with outpatient psychiatric services (6.5% [3.7% to 9.4%]) were more likely to have telepsychiatry than hospitals with neither psychiatric services. Federal hospitals (48.9% [32.5 to 65.3%]), system-affiliated hospitals (3.9% [1.2% to 6.6%]), hospitals with larger bed size (Quartile IV vs. I: 6.2% [0.7% to 11.6%]), and hospitals with greater ratio of Medicaid inpatient days to total inpatient days (Quartile IV vs. I: 4.9% [0.3% to 9.4%]) were more likely to have telepsychiatry than their counterparts. Private non-profit hospitals (- 6.9% [- 11.7% to - 2.0%]) and hospitals in counties designated as whole mental health professional shortage areas (- 6.6% [- 12.7% to - 0.5%]) were less likely to have telepsychiatry.

CONCLUSIONS

Prior to the Covid-19 pandemic, telepsychiatry adoption in US hospitals was low with substantial variations by urban and rural status and by state in 2017. This raises concerns about access to psychiatric services and continuity of care for patients discharged from hospitals.