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BACKGROUND: There is a dearth of specialized mental health workforce in low- and middle-income countries. Use of mobile technology by frontline community health workers (CHWs) is gaining momentum in Pakistan and needs to be explored as an alternate strategy to improve mental well-being. OBJECTIVE: The aim of this study is to assess the feasibility, acceptability, and usefulness of an app-based counseling intervention delivered by government lady health workers (LHWs) to reduce anxiety and depression in rural Pakistan. METHODS: Project mPareshan is a single-arm, pre- and posttest implementation research trial in Badin District, Sindh, using mixed methods of data collection executed in 3 phases (preintervention, intervention, and postintervention). In the preintervention phase, formative qualitative assessments through focus group discussions and in-depth interviews assess the acceptability and appropriateness of intervention through perceptions of all concerned stakeholders using a specific interview guide. A REDCap (Research Electronic Data Capture)-based baseline survey using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 Scale (GAD-7) determines the point prevalence of depression and anxiety among consenting men and women older than 18 years. Individuals with mild and moderate anxiety and depression are identified as screen positives (SPs) and are eligible for mPareshan app-based intervention. Mental health literacy of health workers is improved through customized training adapting the World Health Organization's Mental Health Gap Action Programme guide 2.0. The intervention (mPareshan app) consists of tracking, counseling, and referral segments. The tracking segment facilitates participant consent and enrollment while the referral segment is used by LHWs to transfer severe cases to the next level of specialist care. Through the counseling segment, identified SPs are engaged during LHWs' routine home visits in 6 face-to-face 20-minute counseling sessions over 6 months. Each session imparts psychoeducation through audiovisual aids, breathing exercises, and coping skills to reduce stress. Clinical and implementation outcomes include change in mean anxiety and depression scores and identification of facilitators and barriers in intervention uptake and rollout. RESULTS: At the time of this submission (April 2024), we are analyzing the results of 366 individuals who participated in the baseline prevalence survey, the change in knowledge and skills of 72 health workers who took the mPareshan training, change in anxiety and depression scores of 98 SPs recruited for app-based counseling intervention, and perceptions of stakeholders pre- and postintervention gathered through 8 focus group discussions and 18 in-depth interviews. CONCLUSIONS: This trial will assess the feasibility of early home-based mental health screening, counseling, and prompt referrals by frontline health workers to reduce anxiety and depression in the community. The study findings will set the stage for integrating mental health into primary health care. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry ACTRN12622000989741; https://tinyurl.com/5n844c8z. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54272.
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Ansiedade , Agentes Comunitários de Saúde , Depressão , População Rural , Humanos , Paquistão/epidemiologia , Agentes Comunitários de Saúde/educação , Ansiedade/epidemiologia , Ansiedade/prevenção & controle , Ansiedade/terapia , Depressão/prevenção & controle , Depressão/epidemiologia , Feminino , Masculino , Adulto , Aconselhamento/métodos , Telemedicina , Aplicativos MóveisRESUMO
Background: The increasing emergencies and humanitarian challenges have worsened the mental health condition of women in the Eastern Mediterranean Region. Aim: To assess the prevalence, determinants and interventions to address mental health among women in fragile and humanitarian settings in the Eastern Mediterranean Region. Methods: Using the Preferred Reporting Items for Systematic Review and Meta-analysis guidelines, we reviewed 59 peer-reviewed published studies (PubMed, IMEMR) and grey literature (WHO/IRIS) from January 2001 to February 2023, focusing on women's mental health in the Eastern Mediterranean Region. We then conducted a descriptive analysis of the sociodemographic characteristics. Results: Among the 59 studies reviewed, only 13 of the 48 peer-reviewed studies focused primarily on women's mental health, 11 grey literature records mostly presented grouped regional data, 11 of the 25 studies on mental health among migrants were about those taking refuge in high-income countries. The average prevalence of mental disorders from 32 cross-sectional studies on women aged 12-75 years was 49%, average prevalence of anxiety was 68%, post-traumatic stress disorder was 52%, and depression was 43%. Women exhibited higher level depression than men. Age, educational disparities, and limited access to services were important risk factors for mental health disorder. Several promising interventions emerged. Conclusion: More efforts should be made to provide customized, context-specific solutions to the mental health challenges of women in humanitarian and fragile settings in the Eastern Mediterranean Region, including allocation of more resources to mental health programmes, addressing barriers, enhancing mental health surveillance, and reduction of stigma.
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Transtornos Mentais , Adolescente , Adulto , Idoso , Feminino , Humanos , Pessoa de Meia-Idade , Adulto Jovem , Região do Mediterrâneo/epidemiologia , Transtornos Mentais/epidemiologia , Saúde Mental/estatística & dados numéricos , Oriente Médio/epidemiologia , Prevalência , Saúde da MulherRESUMO
OBJECTIVES: There are irregularities in investment cases generated by the Mental Health Compartment Model. We discuss these irregularities and highlight the costing techniques that may be introduced to improve mental health investment cases. METHODS: This analysis uses data from the World Bank, the World Health Organization Mental Health Compartment Model, the United Nations Development Program, the Kenya Ministry of Health, and Statistics from the Kenyan National Commission of Human Rights. RESULTS: We demonstrate that the Mental Health Compartment Model produces irrelevant outcomes that are not helpful for clinical settings. The model inflated the productivity gains generated from mental health investment. In some cases, the model underestimated the economic costs of mental health. Such limitation renders the investment cases poor in providing valuable intervention points from the perspectives of both the users and the providers. CONCLUSIONS: There is a need for further calibration and validation of the investment case outcomes. The current estimated results cannot be used to guide service provision, research, and mental health programming comprehensively.
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Países em Desenvolvimento , Serviços de Saúde Mental , Humanos , Serviços de Saúde Mental/economia , Quênia , Saúde Mental/estatística & dados numéricos , Investimentos em Saúde/estatística & dados numéricos , Investimentos em Saúde/tendênciasRESUMO
OBJECTIVE: This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya. APPROACH: The study will deploy a mobile application (app) platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya. EXPECTATION: This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient healthcare workforce to develop sustainable economic growth in Kenya, East Africa, and ultimately neighboring countries in sub-Saharan Africa. This protocol paper provides an opportunity to share the planned study implementation methods and approaches. CONCLUSION: A mobile technology platform that is scalable and can be used to understand and improve mental health outcomes is of critical importance.
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Inteligência Artificial , Transtorno Depressivo Maior , Humanos , Quênia , África Oriental , Avaliação de Resultados em Cuidados de SaúdeRESUMO
OBJECTIVES: There are inconsistencies in the South Africa HIV mortality data reported by Institute of Health Metrics and Evaluation (IHME), Joint United Nations Programme on HIV/AIDS (UNAIDS), and Statistics South Africa (StatsSA) platforms. Between 2006 and 2016, these global data sets (IHME and UNAIDS) show that HIV-related mortalities were improving in South Africa, whereas StatsSA argues the opposite. We explain the causes of this differing stands and highlight areas that may be improved to address such inconsistencies. METHODS: This observational analysis uses data from IHME, UNAIDS, and StatsSA platforms. RESULTS: We demonstrate that IHME and UNAIDS data sets are based on a mathematical compartmental model, which is not dynamic to all HIV epidemiological aspects. Such limitation may cause inflated improvement in HIV mortality outcomes that are not in line with HIV mortality evidence recorded at the household level as demonstrated by StatsSA. CONCLUSION: There is a need to streamline the IHME, UNAIDS, and StatsSA data on HIV to improve the quality of HIV research and programming in South Africa.
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Infecções por HIV , Humanos , Infecções por HIV/epidemiologia , África do Sul/epidemiologia , Características da FamíliaRESUMO
The technical advisory group of the World Health Organization (Geneva, Switzerland) has suggested person-centered and community-based mental health services in response to the long-term and far-reaching mental health impacts of the COVID-19 pandemic. Task shifting is a pragmatic approach to tackle the mental health treatment gap in low- and middle-income countries. Pakistan is dismally resourced to address the mental health challenges. Pakistan's government has established a lady health worker's program (LHW-P) which can be effectively utilized to provide some basic mental health services at community doorsteps. However, lady health workers' current curriculum does not include mental health as a subject. WHO's Mental Health Gap Intervention Guide (mhGAP-IG) Version 2.0 for mental, neurological, and substance use disorders in non-specialist health settings can be adapted and utilized to be included as part of the LHW-P curriculum in Pakistan. Thus, the historical lack of access to mental health support workers, counsellors, and specialists can be addressed. Additionally, this will also help to reduce the stigma associated with seeking mental health care outside the boundaries of home, mostly at a huge cost.
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COVID-19 , Transtornos Relacionados ao Uso de Substâncias , Humanos , Saúde Mental , Paquistão , PandemiasRESUMO
Background: Interventions targeting combined sexual and reproductive health, Human Immunodeficiency Virus (HIV) management and mental health care in sub-Saharan Africa (SSA) are few. There is a need to address common determinants of poor mental, psychosocial and sexual and reproductive health and rights (SRHR) through multimodal and multipronged interventions for adolescents. The main objective of this study was to identify whether and how interventions targeting adolescent SRHR and HIV with a focus on pregnant and parenting adolescents in SSA include mental health components and how these components and their outcomes have been reported in the literature. Methods: We carried out a two process scoping review approach between 01.04.2021 and 23.08.2022. In the first stage, we searched the PubMed database to identify studies focusing on adolescents and young people aged 10 to 24 from 2001 to 2021. We identified studies focusing on HIV and SRHR that had mental health and psychosocial aspects to the interventions. Our search yielded 7025 studies. Of these 38 were eligible based on our screening criteria that covered interventions, and on further scrutiny, using PracticeWise, an established coding system, we identified select problems and practices to provide a more granular assessment of how interventions developed for this context mapped on to specific problems. At this second stage process, we selected 27 studies for inclusion as actual interventional designs for further systematic scoping of their findings and we used the Joanna Briggs Quality Appraisal checklist to rate these studies. This review was registered within the International Prospective Register of Systematic Reviews (PROSPERO), number CRD42021234627. Findings: Our first set of findings is that when coding problems and solutions, mental health concerns were the least common category of problems targeted in these SRHR/HIV interventions; nevertheless, psychoeducation and cognitive behavioral strategies such as improved communication, assertiveness training, and informational support were offered widely. Of the 27 interventional studies included in the final review, 17 RCTs, 7 open trials, and 3 mixed designs, represented nine countries of the 46 countries in SSA. Intervention types included peer, community, family, digital, and mixed modality interventions. Eight interventions focused on caregivers and youth. Social or community ecology associated problems (being an orphan, sexual abuse, homelessness, negative cultural norms) were the most common risk factors and were more frequent than medical issues associated with HIV exposure. Our findings highlight the relevance and centrality of social issues related to adolescent mental and physical health along with the need to strengthen multimodal interventions along the lines of problems we have identified in our review. Interpretation: Combined interventions jointly addressing adolescent SRHR, HIV, and mental health have been relatively understudied, despite evidence that adverse social and community factors are rampant in this population. Funding: MK was funded by Fogarty International CenterK43 TW010716-05 and lead the initiative.
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Objective: This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya. Approach: The study will deploy a mobile app platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya. Expectation: This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient healthcare workforce to develop sustainable economic growth in Kenya, East Africa, and ultimately neighboring countries in sub-Saharan Africa. This protocol paper provides an opportunity to share the planned study implementation methods and approaches. Conclusion : A mobile technology platform that is scalable and can be used to understand and improve mental health outcomes is of critical importance.
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In South Africa, men were traditionally eligible to receive government pensions at 65 years. However, that eligibility criterion was changed in 2008 to allow men to receive a pension payout at 60 years. This study is designed to quantify the impact of the 2008 pension reform on mental health outcomes (depression and traumatic stress) and deaths among 60-year-old men from disadvantaged households without advanced education. This analysis used secondary data issued by Statistic South Africa- General Household Survey. Men who reported earning a pension at 60 years from 2008 to 2014 were exposed to the 2008 pension reform and thus were classified as the treatment group. The 60-year-old men during 2002-2007 were ineligible to earn the pension, therefore considered the control group. We then used a Two-stage Least Squared Model (2SLS) to quantify the impact of the 2008 pension reform on healthcare utilization, depression cases, traumatic stress cases, and deaths among 60-year-old men. The model shows that the 2008 pension reform improved healthcare utilization by 3 % in the cohorts of men who benefitted from the 2008 reform. The 2008 pension reform averted depression cases, traumatic stress cases, and deaths among 60-year-old men by 3 %, 4 %, and 5 %, respectively. The impact of the 2008 pension reform in averting deaths among 60-year-old men was higher in urban regions than rural regions. We concluded that the 2008 pension reform successfully bought improved mental health outcomes and prevented depression, traumatic stress, and deaths among 60-year-old men.
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Background: Adolescent parenthood can be associated with a range of adverse outcomes for young mothers such as depression, substance abuse, and posttraumatic stress disorder. Identification of depression and understanding risk factors among pregnant adolescents is important for development of appropriate interventions and programs focused on adolescent mental health. This paper reports on the findings of the prevalence of depression and its associated risk factors among pregnant adolescents in Nairobi, Kenya. Methods: We recruited 153 pregnant adolescent (14-18 years) who were accessing maternal health services in one of two Nairobi County primary health care facilities in the cross-sectional survey conducted in 2021. The Patient Health Questionnaire 9 was used to screen for depression. Multivariate Stepwise linear regression modelling was used to identify key predictors of depression. Results: Using a cut off of 10 and above on PHQ-9, we found that 43.1% of the respondents were depressed. Depressive symptoms in were independently associated with being in school, experience of intimate partner violence, substance use within the family and having experienced pressure to use substances by family or peers. Limitations: Cross-sectional by design and the applications of our findings are limited to settings that are similar to our study population. The PHQ-9 used has not been psychometrically validated locally in this sample. Conclusion: We found a high prevalence of depressive symptoms among respondents. These risk factors identified merit further investigation. Comprehensive mental health screening needs to be integrated in primary and community health services on the possible presence of depression.
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The first aim of the present review is to provide an in-depth description of the cannabinoids and their known effects at various neuronal receptors. It reveals that cannabinoids are highly diverse, and recent work has highlighted that their effects on the central nervous system (CNS) are surprisingly more complex than previously recognized. Cannabinoid-sensitive receptors are widely distributed throughout the CNS where they act as primary modulators of neurotransmission. Secondly, we examine the role of cannabinoid receptors at key brain sites in the control of fear and anxiety. While our understanding of how cannabinoids specifically modulate these networks is mired by their complex interactions and diversity, a plausible framework(s) for their effects is proposed. Finally, we highlight some important knowledge gaps in our understanding of the mechanism(s) responsible for their effects on fear and anxiety in animal models and their use as therapeutic targets in humans. This is particularly important for our understanding of the phytocannabinoids used as novel clinical interventions.
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Canabinoides , Animais , Ansiedade/tratamento farmacológico , Canabinoides/farmacologia , Medo , Humanos , Receptores de Canabinoides , Transmissão SinápticaRESUMO
A novel botanical dietary supplement, formulated as a chewable tablet containing a defined mixture of Souroubea spp. vine and Platanus spp. Bark, was tested as a canine anxiolytic for thunderstorm noise-induced stress (noise aversion). The tablet contained five highly stable triterpenes and delivered 10 mg of the active ingredient betulinic acid (BA) for an intended 1 mg/kg dose in a 10 kg dog. BA in tablets was stable for 30 months in storage at 23 °C. Efficacy of the tablets in reducing anxiety in dogs was assessed in a blinded, placebo-controlled study by recording changes in blood cortisol levels and measures of behavioral activity in response to recorded intermittent thunder. Sixty beagles were assigned into groups receiving: placebo, 0.5×, 1×, 2×, and 4× dose, or the positive control (diazepam), for five days. Reduction in anxiety measures was partially dose-dependent and the 1× dose was effective in reducing inactivity time (p = 0.0111) or increased activity time (p = 0.0299) compared with placebo, indicating a decrease in anxiety response. Cortisol measures also showed a dose-dependent reduction in cortisol in dogs treated with the test tablet.
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Ansiedade/terapia , Suplementos Nutricionais , Ericales/química , Medo/efeitos dos fármacos , Magnoliopsida/química , Triterpenos/farmacologia , Animais , Ansiedade/sangue , Modelos Animais de Doenças , Cães , Relação Dose-Resposta a Droga , Hidrocortisona/sangue , Análise dos Mínimos Quadrados , Comprimidos , Triterpenos/químicaRESUMO
Background: Δ9-Tetrahydrocannabinol (THC, a CB1 receptor agonist) and Cannabidiol (CBD, a non-competitive antagonist of endogenous CB1 and CB2 ligands) are two primary components of Cannabis species, and may modulate fear learning in mammals. The CB1 receptor is widely distributed throughout the cortex and some limbic regions typically associated with fear learning. Humans with posttraumatic disorder (PTSD) have widespread upregulation of CB1 receptor density and reduced availability of endogenous cannabinoid anandamide, suggesting a role for the endocannabinoid system in PTSD. Pharmacological blockade of memory reconsolidation following recall of a conditioned response modulates the expression of learned fear and may represent a viable target for the development of new treatments for PTSD. In this study, we focused on assessing the impact of the key compounds of the marijuana plant both singly and, more importantly, in concert on attenuation of learned fear. Specifically, we assessed the impact of THC, CBD, and/or the remaining plant materials (post-extraction; background material), on reconsolidation of learned fear. Method: Male Sprague-Dawley rats received six 1.0 mA continuous foot shocks (contextual training). Twenty-four hours later, rats were re-exposed to the context. Immediately following memory retrieval (recall) rats received oral administration of low dose THC, high dose THC, CBD, CBD + low THC, CBD + high THC [as isolated phytochemicals and, in separate experiments, in combination with plant background material (BM)]. Rodents were tested for freezing response context re-exposure at 24 h and 7 days following training. Results: CBD alone, but not THC alone, significantly attenuated fear memory reconsolidation when administered immediately after recall. The effect persisted for at least 7 days. A combination of CBD and THC also attenuated the fear response. Plant BM also significantly attenuated reconsolidation of learned fear both on its own and in combination with THC and CBD. Finally, THC attenuated reconsolidation of learned fear only when co-administered with CBD or plant BM. Conclusion: CBD may provide a novel treatment strategy for targeting fear-memories. Furthermore, plant BM also significantly attenuated the fear response. However, whereas THC alone had no significant effects, its effects were modulated by the addition of other compounds. Future research should investigate some of the other components present in the plant BM (such as terpenes) for their effects alone, or in combination with isolated pure cannabinoids, on fear learning.
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BACKGROUND: Abnormalities in heart rate during sleep linked to impaired neuro-cardiac modulation may provide new information about physiological sleep signatures of depression. This study assessed the validity of an algorithm using patterns of heart rate changes during sleep to discriminate between individuals with depression and healthy controls. METHODS: A heart rate profiling algorithm was modeled using machine-learning based on 1203 polysomnograms from individuals with depression referred to a sleep clinic for the assessment of sleep abnormalities, including insomnia, excessive daytime fatigue, and sleep-related breathing disturbances (n = 664) and mentally healthy controls (n = 529). The final algorithm was tested on a distinct sample (n = 174) to categorize each individual as depressed or not depressed. The resulting categorizations were compared to medical record diagnoses. RESULTS: The algorithm had an overall classification accuracy of 79.9% [sensitivity: 82.8, 95% CI (0.73-0.89), specificity: 77.0, 95% CI (0.67-0.85)]. The algorithm remained highly sensitive across subgroups stratified by age, sex, depression severity, comorbid psychiatric illness, cardiovascular disease, and smoking status. CONCLUSIONS: Sleep-derived heart rate patterns could act as an objective biomarker of depression, at least when it co-occurs with sleep disturbances, and may serve as a complimentary objective diagnostic tool. These findings highlight the extent to which some autonomic functions are impaired in individuals with depression, which warrants further investigation about potential underlying mechanisms.