Tablet-based screening of depressive symptoms in quito, ecuador: efficiency in primary care

Informal Employment and Poor Mental Health in a Sample of 180,260 Workers from 13 Iberoamerican Countries

The aim of this study is to estimate the association between employment conditions and mental health status in the working population of Iberoamerica. In this cross-sectional study, we pooled individual-level data from nationally representative surveys across 13 countries. A sample of 180,260 workers was analyzed. Informality was assessed by social security, health affiliation, or contract holding. Mental health was assessed using several instruments. We used Poisson regression models to estimate the contribution of informality to poor mental health by sex and country, adjusted by sociodemographic and work-related characteristics. Then, we performed a meta-analysis pooling of aggregate data using a random-effects inverse-variance model. Workers in informal employments showed a higher adjusted prevalence ratio (aPR) of poor mental health than those in formal employment in Peru (aPR men 1.5 [95% confidence intervals 1.16; 1.93]), Spain (aPR men 2.2 [1.01; 4.78]) and Mexico (aPR men 1.24 [1.04; 1.47]; women 1.39 [1.18; 1.64]). Overall estimates showed that workers in informal employment have a higher prevalence of poor mental health than formal workers, with it being 1.19 times higher (aPR 1.19 [1.02; 1.39]) among men, and 1.11 times higher prevalence among women (aPR 1.11 [1.00; 1.23]). Addressing informal employment could contribute to improving workers’ mental health.

Improving the detection and treatment of depression in Australians with multiple sclerosis: A qualitative analysis

BACKGROUND

Depression is common in people with multiple sclerosis (MS), yet often goes undetected, untreated or undertreated.

OBJECTIVE

This qualitative research explored current practices, barriers and facilitators for detection and treatment of depression in Australians with MS.

METHODS

Participants were 26 people with MS recruited through social media. Participants completed the Centre for Epidemiological Studies Depression-Revised (CESD-R) scale and in-depth telephone or video interviews. Interviews were analysed using framework analysis.

RESULTS

Scores measured on the CESD-R proposed 73% of participants were experiencing severe depression symptoms. Participants reported that depression is not regularly and formally assessed through MS healthcare services and they are offered limited information about depression in MS. Barriers to mental health support included recognition of depression, resistance to treatment and limitations of collaborative support between general practitioners and MS healthcare services. Participants expressed a need for open conversations and information about depression during neurology consultations.

CONCLUSION

Based on our findings, improved detection and treatment of depression in people with MS requires: 1) better provision of information about depression for people with MS through healthcare services and community organisations; 2) regular screening and assessment; 3) better healthcare services collaboration to improve management.

Feasibility of mHealth interventions for depressive symptoms in Latin America: a systematic review

Depression is a prevalent disorder and leading cause of disability in Latin America, where the mental health treatment gap is still above 50%. We sought to synthesise and assess the quality of the evidence on the feasibility of mHealth-based interventions for depression in Latin America. We conducted a literature search of studies published in 2007 and after using four electronic databases. We included peer-reviewed articles, in English, Spanish or Portuguese, that evaluated interventions for depressive symptoms. Two authors independently extracted data using forms developed a priori. We assessed appropriateness of reporting utilising the CONSORT checklist for feasibility trials. Eight manuscripts were included for full data extraction. Appropriate reporting varied greatly. Most (n = 6, 75%) of studies were conducted in primary care settings and sought to deliver psychoeducation or behaviour change interventions for depressive symptoms. We found great heterogeneity in the assessment of feasibility. Two studies used comparator conditions. mHealth research for depression in Latin America is scarce. Included studies showed some feasibility despite methodological inconsistencies. Given the dire need for evidence-based mental health interventions in this region, governments and stakeholders must continue promoting and funding research tailored to cultural and population characteristics with subsequent pragmatic clinical trials.

Implementing electronic substance use disorder and depression and anxiety screening and behavioral interventions in primary care clinics serving people with HIV: Protocol for the Promoting Access to Care Engagement (PACE) trial

BACKGROUND

Substance use disorders (SUDs) and psychiatric disorders are common among people with HIV (PWH) and lead to poor outcomes. Yet these conditions often go unrecognized and untreated in primary care.

METHODS

The Promoting Access to Care Engagement (PACE) trial currently in process examines the impact of self-administered electronic screening for SUD risk, depression and anxiety in three large Kaiser Permanente Northern California primary care clinics serving over 5000 PWH. Screening uses validated measures (Tobacco, Alcohol, Prescription medication, and other Substance use [TAPS]; and the Adult Outcomes Questionnaire [AOQ], which includes the Patient Health Questionnaire [PHQ-9] and Generalized Anxiety Disorder [GAD-2]) delivered via three modalities (secure messaging, tablets in waiting rooms, and desktop computers in exam rooms). Results are integrated automatically into the electronic health record. Based on screening results and physician referrals, behavioral health specialists embedded in primary care initiate motivational interviewing- and cognitive behavioral therapy-based brief treatment and link patients to addiction and psychiatry clinics as needed. Analyses examine implementation (screening and treatment rates) and effectiveness (SUD, depression and anxiety symptoms; HIV viral control) outcomes using a stepped-wedge design, with a 12-month intervention phase implemented sequentially in the clinics, and a 24-month usual care period prior to implementation in each clinic functioning as sequential observational phases for comparison. We also evaluate screening and treatment costs and implementation barriers and facilitators.

DISCUSSION

The study examines innovative, technology-facilitated strategies for improving assessment and treatment in primary care. Results may help to inform substance use, mental health, and HIV services.

TRIAL REGISTRATION

NCT03217058.

Making the cut: Depression screening in urban general hospital clinics for culturally diverse Latino populations

OBJECTIVES

We examined whether the cut-point 10 for the Patient Health Questionnaire-9 (PHQ9) depression screen used in primary care populations is equally valid for Mexicans (M), Ecuadorians (E), Puerto Ricans (PR) and non-Hispanic whites (W) from inner-city hospital-based primary care clinics; and whether stressful life events elevate scores and the probability of major depressive disorder (MDD).

METHODS

Over 18-months, a sample of persons from hospital clinics with a positive initial PHQ2 and a subsequent PHQ9 were administered a stressful life event questionnaire and a Structured Clinical Interview to establish an MDD diagnosis, with oversampling of those between 8 and 12: (n=261: 75 E, 71 M, 51 PR, 64 W). For analysis, the sample was weighted using chart review (n=368) to represent a typical clinic population. Receiver Operating Characteristics analysis selected cut-points maximizing sensitivity (Sn) plus specificity (Sp).

RESULTS

The optimal cut-point for all groups was 13 with the corresponding Sn and Sp estimates for E=(Sn 73%, Sp 71%), M=(76%, 81%), PR=(81%, 63%) and W=(80%, 74%). Stressful life events impacted screen scores and MDD diagnosis.

CONCLUSIONS

Elevating the PHQ9 cut-point for inner-city Latinos as well as whites is suggested to avoid high false positive rates leading to improper treatment with clinical and economic consequences.

Development and Evaluation of a Short Adverse Childhood Experiences Measure

INTRODUCTION

Clinicians require tools to rapidly identify individuals with significant childhood adversity as part of routine primary care. The goal of this study was to shorten the 11-item Behavioral Risk Factor Surveillance System Adverse Childhood Experiences (ACEs) measure and evaluate the feasibility and validity of this shortened measure as a screener to identify adults who have experienced significant childhood adversity.

METHODS

Statistical analysis was conducted in 2015. ACE item responses obtained from 2011-2012 Behavioral Risk Factor Surveillance System data were combined to form a sample of 71,413 adults aged ≥18 years. The 11-item Behavioral Risk Factor Surveillance System ACE measure was subsequently reduced to a two-item screener by maintaining the two dimensions of abuse and household stressors and selecting the most prevalent item within each dimension.

RESULTS

The screener included household alcohol and childhood emotional abuse items. Overall, 42% of respondents and at least 75% of the individuals with four or more ACEs endorsed one or both of these experiences. Using the 11-item ACE measure as the standard, a cut off of one or more ACEs yielded a sensitivity of 99%, but specificity was low (66%). Specificity improved to 94% when using a cut off of two ACEs, but sensitivity diminished (70%). There was no substantive difference between the 11-and two-item ACE measures in their strength of association with an array of health outcomes.

CONCLUSIONS

A two-item ACE screener appropriate for rapid identification of adults who have experienced significant childhood adversity was developed.

Quantifying the importance of disease burden on perceived general health and depressive symptoms in patients within the Mayo Clinic Biobank

Background

Deficits in health-related quality of life (HRQOL) may be associated with worse patient experiences, outcomes and even survival. While there exists evidence to identify risk factors associated with deficits in HRQOL among patients with individual medical conditions such as cancer, it is less well established in more general populations without attention to specific illnesses. This study used patients with a wide range of medical conditions to identify contributors with the greatest influence on HRQOL deficits.

Methods

Self-perceived general health and depressive symptoms were assessed using data from 21,736 Mayo Clinic Biobank (MCB) participants. Each domain was dichotomized into categories related to poor health: deficit (poor/fair for general health and ≥3 for PHQ-2 depressive symptoms) or non-deficit. Logistic regression models were used to test the association of commonly collected demographic characteristics and disease burden with each HRQOL domain, adjusting for age and gender. Gradient boosting machine (GBM) models were applied to quantify the relative influence of contributors on each HRQOL domain.

Results

The prevalence of participants with a deficit was 9.5 % for perception of general health and 4.6 % for depressive symptoms. For both groups, disease burden had the strongest influence for deficit in HRQOL (63 % for general health and 42 % for depressive symptoms). For depressive symptoms, age was equally influential. The prevalence of a deficit in general health increased slightly with age for males, but remained stable across age for females. Deficit in depressive symptoms was inversely associated with age. For both HRQOL domains, risk of a deficit was associated with higher disease burden, lower levels of education, no alcohol consumption, smoking, and obesity. Subjects with deficits were less likely to report that they were currently working for pay than those without a deficit; this association was stronger among males than females.

Conclusions

Comorbid health burden has the strongest influence on deficits in self-perceived general health, while demographic factors show relatively minimal impact. For depressive symptoms, both age and comorbid health burden were equally important, with decreasing deficits in depressive symptoms with increasing age. For interpreting patient-reported metrics and comparison, one must account for comorbid health burden.