Integrating Depression and Alcohol Use Care Into Primary Care in Low- and Middle-Income Countries: A Meta-Analysis.

OBJECTIVE: Evaluation of the effectiveness of integration of depression and alcohol use disorder care into primary health care in low- and middle-income countries (LMICs) is limited. The authors aimed to quantify the effectiveness of integrating mental health care into primary care by examining depression and alcohol use disorder outcomes. The study updates a previous systematic review summarizing research on care integration in LMICs. METHODS: Following PRISMA guidelines, the authors included studies from the previous review and studies published from 2017 to 2020 that included adults with alcohol use disorder or depression. Studies were evaluated for type of integration model with the typology developed previously. A meta-analysis using a random-effects model to assess effectiveness of integrated interventions was conducted. Meta-regression analyses to examine the impact of study characteristics on depression and alcohol use disorder outcomes were conducted. RESULTS: In total, 49 new articles were identified, and 74 articles from the previous and current studies met inclusion criteria for the meta-analysis. Overall random effect sizes were 0.28 (95% CI=0.22-0.35) and 0.17 (95% CI=0.11-0.24) for studies targeting care integration for depression or for alcohol use disorder, respectively, into primary care in LMICs. High heterogeneity within and among studies was observed. No significant association was found between country income level and depression and alcohol use outcomes. However, differences in effect sizes between types of integration model were statistically significant (p<0.001). CONCLUSIONS: Integration of mental health care into primary health care in LMICs was found to improve depression and alcohol use disorder outcomes. This evidence should be considered when designing interventions to improve mental health screening and treatment in LMICs.

Momentary Influences on Self-Regulation in Two Populations With Health Risk Behaviors: Adults Who Smoke and Adults Who Are Overweight and Have Binge-Eating Disorder.

Introduction: Self-regulation has been implicated in health risk behaviors and is a target of many health behavior interventions. Despite most prior research focusing on self-regulation as an individual-level trait, we hypothesize that self-regulation is a time-varying mechanism of health and risk behavior that may be influenced by momentary contexts to a substantial degree. Because most health behaviors (e.g., eating, drinking, smoking) occur in the context of everyday activities, digital technologies may help us better understand and influence these behaviors in real time. Using a momentary self-regulation measure, the current study (which was part of a larger multi-year research project on the science of behavior change) used ecological momentary assessment (EMA) to assess if self-regulation can be engaged and manipulated on a momentary basis in naturalistic, non-laboratory settings. Methods: This one-arm, open-label exploratory study prospectively collected momentary data for 14 days from 104 participants who smoked regularly and 81 participants who were overweight and had binge-eating disorder. Four times per day, participants were queried about momentary self-regulation, emotional state, and social and environmental context; recent smoking and exposure to smoking cues (smoking sample only); and recent eating, binge eating, and exposure to binge-eating cues (binge-eating sample only). This study used a novel, momentary self-regulation measure comprised of four subscales: momentary perseverance, momentary sensation seeking, momentary self-judgment, and momentary mindfulness. Participants were also instructed to engage with Laddr, a mobile application that provides evidence-based health behavior change tools via an integrated platform. The association between momentary context and momentary self-regulation was explored via mixed-effects models. Exploratory assessments of whether recent Laddr use (defined as use within 12 h of momentary responses) modified the association between momentary context and momentary self-regulation were performed via mixed-effects models. Results: Participants (mean age 35.2; 78% female) in the smoking and binge-eating samples contributed a total of 3,233 and 3,481 momentary questionnaires, respectively. Momentary self-regulation subscales were associated with several momentary contexts, in the combined as well as smoking and binge-eating samples. For example, in the combined sample momentary perseverance was associated with location, positively associated with positive affect, and negatively associated with negative affect, stress, and tiredness. In the smoking sample, momentary perseverance was positively associated with momentary difficulty in accessing cigarettes, caffeine intake, and momentary restraint in smoking, and negatively associated with temptation and urge to smoke. In the binge-eating sample, momentary perseverance was positively associated with difficulty in accessing food and restraint in eating, and negatively associated with urge to binge eat. While recent Laddr use was not associated directly with momentary self-regulation subscales, it did modify several of the contextual associations, including challenging contexts. Conclusions: Overall, this study provides preliminary evidence that momentary self-regulation may vary in response to differing momentary contexts in samples from two exemplar populations with risk behaviors. In addition, the Laddr application may modify some of these relationships. These findings demonstrate the possibility of measuring momentary self-regulation in a trans-diagnostic way and assessing the effects of momentary, mobile interventions in context. Health behavior change interventions may consider measuring and targeting momentary self-regulation in addition to trait-level self-regulation to better understand and improve health risk behaviors. This work will be used to inform a later stage of research focused on assessing the transdiagnostic mediating effect of momentary self-regulation on medical regimen adherence and health outcomes. Clinical Trial Registration: ClinicalTrials.gov, Identifier: NCT03352713.

Narratives of Change From Gay and Bisexual Men Living With HIV in an Emotional Well-Being Intervention.

The emotional burden of an HIV diagnosis can impact HIV outcomes and overall well-being. We piloted a four-session individual-level emotional well-being intervention, offered during HIV care visits, for gay and bisexual men living with HIV in Guatemala City who were recently diagnosed or reengaged in care. To assess intervention impact in a contextualized manner, we conducted longitudinal qualitative interviews (n = 3) with study participants (n = 10) over 12 months. Data analysis included thematic coding using NVivo and longitudinal narrative summaries and matrices to identify narratives of change and assess intervention impact. Participants experienced changes in their view of self and diagnosis perceptions, improved physical and mental health, increased interest in sex and relationships, and a clarification of their life goals. The intervention helped participants reach diagnosis acceptance, improve self-esteem, and gain self-efficacy for managing life with HIV. Findings support the importance of integrating emotional well-being into HIV care.

Barriers to and Facilitators of COVID-19 Prevention Behaviors Among North Carolina Residents.

COVID-19 was the third leading cause of death in the United States in 2020. Prior to the wide dissemination of SARS-CoV-2 vaccines, individual prevention behaviors, such as wearing face masks, have been the primary non-pharmaceutical interventions to reduce infections. We surveyed 404 North Carolina residents recruited through Amazon MTurk in July 2020 to assess adherence to key prevention behaviors (6-foot distancing, mask wearing, and gathering limits) and barriers to and facilitators of adherence. Participants reported past 7-day prevention behaviors and behavioral barriers and facilitators informed by the Integrated Behavior Model and the Health Belief Model (perceived risk, perceived severity, behavioral attitudes, injunctive and descriptive norms, and personal agency). Reported adherence to each behavior in the past 7 days was generally high, with lower adherence to 6-foot distancing and mask wearing in the work context. The most commonly endorsed barriers to 6-foot distancing included physical impediments, forgetting, and unfavorable descriptive norms. For mask wearing, ability to keep a distance, discomfort/inconvenience, and forgetting were most commonly endorsed. In logistic regression models, injunctive social norms followed by perceived personal agency were the strongest independent correlates of 6-foot distancing. Behavioral attitudes and injunctive social norms were independently associated with mask wearing. For gathering size limit adherence, perceived personal agency was the strongest independent predictor followed by perceived severity of COVID-19. Messaging campaigns targeting these barriers and facilitators should be tested. Interventions improving the convenience and salience of physical distancing and mask wearing in high-density public places and places of work may also promote prevention behaviors.

Access barriers, self-recognition, and recognition of depression and unhealthy alcohol use: A qualitative study.

INTRODUCTION: Access to healthcare services involves a complex dynamic, where mental health conditions are especially disadvantaged, due to multiple factors related to the context and the involved stakeholders. However, a characterisation of this phenomenon has not been carried out in Colombia, and this motivates the present study. OBJECTIVES: The objective of this study was to explore the causes that affect access to health services for depression and unhealthy alcohol use in Colombia, according to various stakeholders involved in the care process. METHODS: In-depth interviews and focus groups were conducted with health professionals, administrative professionals, users, and representatives of community health organisations in five primary and secondary-level institutions in three regions of Colombia. Subsequently, to describe access to healthcare for depression and unhealthy alcohol use, excerpts from the interviews and focus groups were coded through content analysis, expert consensus, and grounded theory. Five categories of analysis were created: education and knowledge of the health condition, stigma, lack of training of health professionals, culture, and structure or organisational factors. RESULTS: We characterised the barriers to a lack of illness recognition that affected access to care for depression or unhealthy alcohol use according to users, healthcare professionals and administrative staff from five primary and secondary care centres in Colombia. The groups identified that lack of recognition of depression was related to low education and knowledge about this condition within the population, stigma, and lack of training of health professionals, as well as to culture. For unhealthy alcohol use, the participants identified that low education and knowledge about this condition, lack of training of healthcare professionals, and culture affected its recognition, and therefore, healthcare access. Neither structural nor organisational factors seemed to play a role in the recognition or self-recognition of these conditions. CONCLUSIONS: This study provides essential information for the search for factors that undermine access to mental health in the Colombian context. Likewise, it promotes the generation of hypotheses that can lead to the development and implementation of tools to improve care in the field of mental illness.

Patterns of digital information and communication technology use among patients at primary health care centres in Colombia: Phase I of the DIADA project.

OBJECTIVE: Assess the prevalence and types of digital technology use, as well as the extent to which patients use the internet and mobile devises. Evaluate the socioeconomic characteristics of patients and the possible relation to patterns of technology use in Colombia. Understand the nature of patient technology use in primary care for finding medical information. METHODS: A survey was applied to adult patients who attended primary health care centers systems in 6 Colombian cities. The survey inquired about demographic characteristics, insurance, access to services, cell phone use, internet access, and the use of such technology to access health-related services and information. Data was collected and managed using REDCap. Summary statistics on each survey item were calculated and the differences between discrete variables were analyzed using chi-square. Multivariate analyses were performed using logistic regression analysis for binary dependent variables. RESULTS: A total of 1580 patients were surveyed across the six study sites. 93% of the patients reported they have a cell phone. Patients from urban healthcare centers showed a higher use of the Internet on their phone than less urban settings. Around half of the surveyed patients reported Internet use (49.7%). Among Internet users, 65% of participants use the Internet looking for health care information. Around one-third of patients use cellphones to arrange clinic visits. Around 24% of participants answered positively for both Whooley's questions. Of those who screened positive on the Whooley questions, 43% reported being moderately anxious, 47% reported being very anxious. 51% reported having moderate pain; 52% reported having severe pain. CONCLUSIONS: The patterns of technology use identified in this study are essential for developing future health interventions based on ICT. The design of ICT clinical interventions must take into account the cellphone payment plans, availability of internet connection, advantages, and disadvantages of messenger services, including SMS as a possible alternative to people who do not have smartphones.

A characterisation of social media users within the primary care system in Colombia and predictors of their social media use to understand their health.

INTRODUCTION: Social media use is growing in Latin America and is increasingly being used in innovative ways. This study sought to characterise the profile of social media users, among primary care patients in Colombia, and to assess predictors of their use of social media to search for health and mental health information (searching behaviour). METHODS: As part of a larger scale-up study, we surveyed 1580 patients across six primary care sites in Colombia about their social media use. We used chi-square and Student's t-tests to assess associations between demographic variables, social media use and searching behaviour, and a Chi-square Automatic Interaction Detector (CHAID) analysis to determine predictors of searching behaviour. RESULTS: In total, 44.4% of respondents reported that they were social media users. Of these, 35.7% used social media to search for health-related information and 6.6% used it to search for mental health-related information. While the profile of individuals who used social media to search for health-related information was similar to that of general social media users (the highest use was among women living in urban areas), the presence of mental health symptoms was a more important predictor of using social media to search for mental health-related information than demographic variables. Individuals with moderate-severe symptoms of anxiety reported a significantly higher percentage of searching than individuals without symptoms (12.5% vs. 5.2%). CONCLUSIONS: Given that some individuals with mental health disorders turn to social media to understand their illness, social media could be a successful medium for delivering mental health interventions in Colombia.

Addressing harmful alcohol use in primary care in Colombia: Understanding the sociocultural context.

Harmful alcohol use is a public health problem worldwide, contributing to an estimated 5.1% of the global burden of illness. Screening and addressing at-risk drinking in primary care settings is an empirically supported health care intervention strategy to help reduce the burden of alcohol-use problems. In preparation for introducing screening and treatment for at-risk drinking in primary care clinics in Colombia, we conducted interviews with clinicians, clinic administrators, patients, and participants in Alcoholics Anonymous. Interviews were conducted within the framework of the Detección y Atención Integral de Depresión y Abuso de Alcohol en Atención Primaria (DIADA, [Detection and Integrated Care for Depression and Alcohol Use in Primary Care] www.project-diada.org) research project, and its qualitative phase that consisted of the collection of data from 15 focus groups, 6 interviews and field observations in 5 regional settings. All participants provided informed consent to participate in this research. Findings revealed the association of harmful alcohol use with a culture of consumption, within which it is learned and socially accepted practice. Recognition of harmful alcohol consumption includes a social context that influences its screening, diagnosis and prevention. The discussion highlights how, despite the existence of institutional strategies in healthcare settings and the awareness of the importance of at-risk drinking among health personnel, the recognition of the harmful use of alcohol as a pathology should be embedded in an understanding of historical, social and cultural dimensions that may affect different identification and care scenarios.

Relationship between the sociodemographic characteristics of participants in the DIADA project and the rate of compliance with follow-up assessments in the initial stage of the intervention.

OBJECTIVE: Analyse the relationship between the sociodemographic profile of the DIADA study participants and the rate of compliance with the follow-up assessments in the early stage of this project's intervention for depression and unhealthy alcohol use offered within primary care. METHODS: A non-experimental quantitative analysis was conducted. The sociodemographic data of DIADA [Detección y Atención Integral de Depresión y Abuso de Alcohol en Atención Primaria (Detection and Integrated Care for Depression and Alcohol Use in Primary Care)] study participants had been previously collected. At the time of the evaluation (September 12, 2019), only the participants who had been in the project for a minimum of 3 months were included. By using univariate (Chi-squared) analyses, we studied the association between participants' sociodemographic profile and their rate of compliance with the first follow-up assessment at 3 months after study initiation. RESULTS: At the date of the evaluation, 584 adult participants were identified, of which 389 had been involved in the project for more than 3 months. From the participants included, 320 performed the first follow-up, while 69 did not. The compliance rate to the first follow-up was 82.3% (95 % [CI] 78.1%-86%) and was not affected by: site location, age, sex, civil status, level of education, use of smartphone, PHQ9 score (measuring depression symptomatology) or AUDIT score (measuring harmful alcohol use). Participants who do not use a smartphone, from rural areas and with a lower socioeconomic status, tended to show higher compliance rates. Statistically significant associations were found; participants with lower job stability and a lack of access to the Internet showed higher compliance rates to the early initial follow-up assessment. CONCLUSIONS: The compliance rate was high and generally constant in spite of the variability of the sociodemographic profiles of the participants, although several sub-groups of participants showed particularly high rates of compliance. These findings may suggest that integrating mental health into primary care allows the structural and financial barriers that hinder access to health in Colombia to be broken down by raising awareness about mental illnesses, their high prevalence and the importance of timely and accessible medical management.

Barriers and facilitators to the diagnosis and treatment of depression in primary care in Colombia: Perspectives of providers, healthcare administrators, patients and community representatives.

INTRODUCTION: Depression represents a major disease burden in Colombia. To better understand opportunities to improve access to mental healthcare in Colombia, a research team at Javeriana University conducted formative qualitative research to explore stakeholders' experiences with the integration of mental healthcare into the primary care system. METHODS: The research team conducted 16 focus groups and 4 in-depth interviews with patients, providers, health administrators and representatives of community organisations at five primary care clinics in Colombia, and used thematic analysis to study the data. RESULTS: Themes were organised into barriers and facilitators at the level of patients, providers, organisations and facilities. Barriers to the treatment of depression included stigma, lack of mental health literacy at the patient and provider level, weak links between care levels, and continued need for mental health prioritization at the national level. Facilitators to the management of depression in primary care included patient support systems, strong patient-provider relationships, the targeting of depression interventions and national depression guidelines. DISCUSSION: This study elucidates the barriers to depression care in Colombia, and highlights action items for further integrating depression care into the primary care setting.

Development and Application of an Interdisciplinary Rapid Message Testing Model for COVID-19 in North Carolina.

INTRODUCTION: From the onset of the COVID-19 pandemic, public health officials have sought to develop evidence-based messages to reduce COVID-19 transmission by communicating key information to media outlets and the public. We describe the development of an interdisciplinary rapid message testing model to quickly create, test, and share messages with public health officials for use in health campaigns and policy briefings. METHODS: An interdisciplinary research team from the University of North Carolina at Chapel Hill assembled in March 2020 to assist the state health department in developing evidence-based messages to influence social distancing behaviors in the state. We developed and iteratively executed a rapid message testing model; the components of the 4-step model were message creation, survey development, survey administration, and analysis and presentation to health department officials. The model was executed 4 times, each during a 7-day period in April and May, and each subsequent survey included new phrasing and/or messaging informed by the previous week's survey. A total of 917 adults from North Carolina participated in the 4 surveys. RESULTS: Survey participants rated messages focused on protecting oneself and others higher than messages focused on norms and fear-based approaches. Pairing behaviors with motivations increased participants' desire to social distance across all themes and subgroups. For example, adding "Protect your grandmother, your neighbor with cancer, and your best friend with asthma," to messaging received a 0.9-point higher score than the base message, "Stay 6 feet apart from others when out in public." PRACTICE IMPLICATIONS: Our model to promote social distancing in North Carolina during the COVID-19 pandemic can be used for rapid, iterative message testing during public health emergencies.

Workshop on Implementation Science and Digital Therapeutics for Behavioral Health.

Digital therapeutics can overcome many of the barriers to translation of evidence-based treatment for substance use, mental health, and other behavioral health conditions. Delivered via nearly ubiquitous platforms such as the web, smartphone applications, text messaging, and videoconferencing, digital therapeutics can transcend the time and geographic boundaries of traditional clinical settings so that individuals can access care when and where they need it. There is strong empirical support for digital therapeutic approaches for behavioral health, yet implementation science with regard to scaling use of digital therapeutics for behavioral health is still in its early stages. In this paper, we summarize the proceedings of a day-long workshop, "Implementation Science and Digital Therapeutics," sponsored and hosted by the Center for Technology and Behavioral Health at Dartmouth College. The Center for Technology and Behavioral Health is an interdisciplinary P30 Center of Excellence funded by the National Institute on Drug Abuse, with the mission of promoting state-of-the-technology and state-of-the-science for the development, evaluation, and sustainable implementation of digital therapeutic approaches for substance use and related conditions. Workshop presentations were grounded in current models of implementation science. Directions and opportunities for collaborative implementation science research to promote broad adoption of digital therapeutics for behavioral health are offered.

The effectiveness and cost-effectiveness of integrating mental health services in primary care in low- and middle-income countries: systematic review.

AIMS AND METHOD: This systematic review examines the effectiveness and cost-effectiveness of behavioural health integration into primary healthcare in the management of depression and unhealthy alcohol use in low- and middle-income countries. Following PRISMA guidelines, this review included research that studied patients aged ≥18 years with unhealthy alcohol use and/or depression of any clinical severity. An exploration of the models of integration was used to characterise a typology of behavioural health integration specific for low- and middle-income countries. RESULTS: Fifty-eight articles met inclusion criteria. Studies evidenced increased effectiveness of integrated care over treatment as usual for both conditions. The economic evaluations found increased direct health costs but cost-effective estimates. The included studies used six distinct behavioural health integration models. CLINICAL IMPLICATIONS: Behavioural health integration may yield improved health outcomes, although it may require additional resources. The proposed typology can assist decision-makers to advance the implementation of integrated models.

Implementing Technology-Supported Care for Depression and Alcohol Use Disorder in Primary Care in Colombia: Preliminary Findings.

OBJECTIVE: Depression and alcohol use disorder are among the most common causes of disability and death worldwide. Health care systems are seeking ways to leverage technology to screen, evaluate, and treat these conditions, because workforce interventions alone, particularly in low- and middle-income countries, are insufficient. This article reports data from the first year of implementation of a technology-supported, systematic approach to identify and care for persons with these disorders in primary care in Colombia. METHODS: A care process that includes waiting room kiosks to screen primary care patients, decision support tablets to guide doctors in diagnosis and treatment, and access to digital therapeutics as a treatment option was implemented in two primary care clinics, one urban and one in a small town. The project collected data on the number of people screened, diagnosed, and engaged in the research and their demographic characteristics. RESULTS: In the first year, 2,656 individuals were screened for depression and unhealthy alcohol use in the two clinics. Primary care doctors increased the percentage of patients diagnosed as having depression and alcohol use disorder from next to 0% to 17% and 2%, respectively. CONCLUSIONS: Early experience with implementing technology-supported screening and decision support for depression and alcohol use disorder into the workflow of busy primary care clinics in Colombia indicates that this care model is feasible and leads to dramatically higher rates of diagnoses of these conditions. Diagnosis in these settings appeared to be easier for depression than for alcohol use disorder.

Perspectives, Experiences, and Practices in the Use of Digital Information Technologies in the Management of Depression and Alcohol Use Disorder in Health Care Systems in Colombia.

Digital information technologies are increasingly used in the treatment of mental health disorders. Through this qualitative study, researchers illuminated perspectives, experiences, and practices among diverse stakeholders in the use of digital information technologies in the management of depression and alcohol use disorders in Colombia. In-depth interviews and focus groups were conducted in five primary care institutions across Colombia. Thematic analysis was used to analyze the data. The use of technology in the treatment of mental health disorders can facilitate the evaluation and diagnosis, treatment, and promotion and prevention of mental health disorders, as well as multiple nonmental health applications in the primary care setting. Potential barriers to the use of technology in this setting include challenges of digital literacy, access to technology, confidentiality, and financing. This study can inform the implementation of digital information technologies in the care of depression and problematic alcohol use within health care systems in Colombia.

Assessing the Integration of Behavioral Health Services in Primary Care in Colombia.

Integration of behavioral health care into primary care can improve health and economic outcomes. This study adapted the Behavioral Health Integration in Medical Care (BHIMC) index to the Colombian context and assessed the baseline level of behavioral health integration in a sample of primary care organizations. The BHIMC was able to detect the capacity to provide integrated behavioral care in Colombian settings. Results indicate a minimal to partial integration level across all sites, and that it is possible to measure the degree of integrated care capacity and identify improvement areas for better behavioral health care provision.