Faculty Bibliography

BACKGROUND:In designing, adapting, and integrating mental health interventions, it is pertinent to understand patients' needs and their own perceptions and values in receiving care. Conjoint analysis (CA) and discrete choice experiments (DCEs) are survey-based preference-elicitation approaches that, when applied to healthcare settings, offer opportunities to quantify and rank the healthcare-related choices of patients, providers, and other stakeholders. However, a knowledge gap exists in characterizing the extent to which DCEs/CA have been used in designing mental health services for patients and providers. METHODS:We performed a scoping review from the past 20 years (2009-2019) to identify and describe applications of conjoint analysis and discrete choice experiments. We searched the following electronic databases: Pubmed, CINAHL, PsychInfo, Embase, Cochrane, and Web of Science to identify stakehold,er preferences for mental health services using Mesh terms. Studies were categorized according to pertaining to patients, providers and parents or caregivers. RESULTS:Among the 30 studies we reviewed, most were published after 2010 (24/30, 80%), the majority were conducted in the United States (11/30, 37%) or Canada (10/30, 33%), and all were conducted in high-income settings. Studies more frequently elicited preferences from patients or potential patients (21/30, 70%) as opposed to providers. About half of the studies used CA while the others utilized DCEs. Nearly half of the studies sought preferences for mental health services in general (14/30, 47%) while a quarter specifically evaluated preferences for unipolar depression services (8/30, 27%). Most of the studies sought stakeholder preferences for attributes of mental health care and treatment services (17/30, 57%). CONCLUSIONS:Overall, preference elicitation approaches have been increasingly applied to mental health services globally in the past 20 years. To date, these methods have been exclusively applied to populations within the field of mental health in high-income countries. Prioritizing patients' needs and preferences is a vital component of patient-centered care - one of the six domains of health care quality. Identifying patient preferences for mental health services may improve quality of care and, ultimately, increase acceptability and uptake of services among patients. Rigorous preference-elicitation approaches should be considered, especially in settings where mental health resources are scarce, to illuminate resource allocation toward preferred service characteristics especially within low-income settings.

BACKGROUND:Nutritional deficiencies are common during pregnancy and a year after childbirth. At the same time, maternal depression affects many women during pregnancy up to 1 year after childbirth. The objectives of this study were to determine the associations between nutrition status, dietary intake, and maternal depression among pregnant women. METHODS:< .05 were considered significant. RESULTS:< .004). CONCLUSION:These findings reveal an association between poor nutrition and maternal depression. These results suggest that nutritional deficiencies could be a contributing factor for maternal depression. Study recommends dietary interventions as cost-effective way to reduce deficiencies and improve mental health problems for pregnant women. Assessment of maternal depression and dietary intake be integrated as fundamental components of antenatal care.

INTRODUCTION/BACKGROUND:There is a need to scale-up mental health service provision in primary health care. The current extent of integration of mental health in primary care is pertinent to promoting and augmenting mental health at this level. We describe a facility mapping exercise conducted in two low-income/primary health facilities in Kenya to identify existing barriers and facilitators in the delivery of mental health services in general and specifically for peripartum adolescents in primary health care as well as available service resources, cadres, and developmental partners on the ground. METHOD AND MEASURES/UNASSIGNED:This study utilized a qualitative evidence synthesis through mapping facility-level services and key-stakeholder interviews. Services-related data were collected from two facility in-charges using the Nairobi City County Human Resource Health Strategy record forms. Additionally, we conducted 10 key informant interviews (KIIs) with clinical officers (Clinicians at diploma level), Nurses, Community Health Assistants (CHAs), Prevention of Mother-to-child Transmission of HIV Mentor Mothers (PMTCTMs), around both general and adolescent mental health as well as psychosocial services they offered. Using the World Health Organization Assessments Instrument for Mental Health Systems (WHO-AIMS) as a guideline for the interview, all KII questions were structured to identify the extent of mental health integration in primary health care services. Interview transcripts were then systematically analyzed for common themes and discussed by the first three authors to eliminate discrepancies. RESULTS:Our findings show that health care services centered around physical health were offered daily while the mental health services were still vertical, offered weekly through specialist services by the Ministry of Health directly or non-governmental partners. Despite health care workers being aware of the urgent need to integrate mental health services into routine care, they expressed limited knowledge about mental disorders and reported paucity of trained mental health personnel in these sites. Significantly, more funding and resources are needed to provide mental health services, as well as the need for training of general health care providers in the identification and treatment of mental disorders. Our stakeholders underscored the urgency of integrating mental health treatment, prevention, and well-being promotive activities targeting adolescents especially peripartum adolescent girls. CONCLUSION/CONCLUSIONS:There is a need for further refining of the integrated care model in mental health services and targeted capacity-building for health care providers to deliver quality services.

BACKGROUND:Little data exists regarding depression and its associated factors in medical residents and doctors in Sub-Saharan Africa. Residents are at high risk of developing depression owing to the stressful nature of their medical practice and academic training. Depression in medical residents leads to decreased clinical efficiency, and poor academic performance; it can also lead to substance abuse and suicide. Our primary aim was to measure depression prevalence among medical residents in Kenya's largest national teaching and referral hospital. Secondary aims were to describe how depression was associated with perceived stress, perceived social support, substance use, and educational environment. METHODS:We sampled 338 residents belonging to 8 different specialties using self administered questionnaires in this cross-sectional survey between October 2019 and February 2020. Questionnaires included: sociodemographics, the Centres for Epidemiology Depression Scale - Revised, Perceived Stress Scale, Multidimensional Scale of Perceived Social Support, Alcohol, Smoking and Substance Involvement Screening Test, and Postgraduate Hospital Educational Environment Measure. Bivariate and multivariate linear regression were used to assess for risk factors for depression. RESULTS:Mean participant age was 31.8 years and 53.4% were males. Most residents (70.4%) reported no to mild depressive symptoms, 12.7% had moderate, and 16.9% had severe depressive symptoms. Most residents had high social support (71.8%) and moderate stress (61.6%). The educational environment was rated as more positive than negative by 46.3% of residents. Bivariate analyses revealed significant correlations between depressive symptoms, perceived stress, substance use, perceived social support, and educational environment. Multivariate analysis showed that depression was strongly associated with: fewer hours of sleep (β = - 0.683, p = 0.002), high perceived stress (β = 0.709, p < 0.001) and low perceived social support (β = - 2.19, p < 0.001). CONCLUSIONS:Only 30% of medical residents in our study had moderate and severe depressive symptoms. Most residents in our study reported high levels of social support, and moderate levels of stress. Though their overall appraisal of medical residency experience was positive, mental health support and self-care skills in the training of medical professionals needs prioritization.

The new era of digitalized knowledge and information technology (IT) has improved efficiency in all medical fields, and digital health solutions are becoming the norm. There has also been an upsurge in utilizing digital solutions during the COVID-19 pandemic to address the unmet mental healthcare needs, especially for those unable to afford in-person office-based therapy sessions or those living in remote rural areas with limited access to mental healthcare providers. Despite these benefits, there are significant concerns regarding the widespread use of such technologies in the healthcare system. A few of those concerns are a potential breach in the patients' privacy, confidentiality, and the agency of patients being at risk of getting used for marketing or data harnessing purposes. Digital phenotyping aims to detect and categorize an individual's behavior, activities, interests, and psychological features to properly customize future communications or mental care for that individual. Neuromarketing seeks to investigate an individual's neuronal response(s) (cortical and subcortical autonomic) characteristics and uses this data to direct the person into purchasing merchandise of interest, or shaping individual's opinion in consumer, social or political decision making, etc. This commentary's primary concern is the intersection of these two concepts that would be an inevitable threat, more so, in the post-COVID era when disparities would be exaggerated globally. We also addressed the potential "dark web" applications in this intersection, worsening the crisis. We intend to raise attention toward this new threat, as the impacts might be more damming in low-income settings or/with vulnerable populations. Legal, health ethics, and government regulatory processes looking at broader impacts of digital marketing need to be in place.

INTRODUCTION:Globally, approximately half of the estimated 6.3 million under-5 deaths occur in the neonatal period (within the first 28 days of life). Kenya ranks among countries with the highest number of neonatal deaths, at 20 per 1000 live births. Improved identification and management of neonates with potentially life-threatening illness is critical to meet the WHO's target of ≤12 neonatal deaths per 1000 live births by 2035. We developed an interactive (two-way) short messaging service (SMS) communication intervention, Mobile Solutions for Neonatal Health (Mobile women's and children's health (WACh) NEO), focused on the perinatal period. Mobile WACh NEO sends automated tailored SMS messages to mothers during pregnancy and up to 6 weeks post partum. Messages employ the Information-Motivation-Behaviour Skills framework to promote (1) maternal implementation of essential newborn care (ENC, including early, exclusive breast feeding, cord care and thermal care), (2) maternal identification of neonatal danger signs and care-seeking, and (3) maternal social support and self-efficacy. Participants can also send SMS to the study nurse, enabling on-demand remote support. METHODS AND ANALYSIS:We describe a two-arm unblinded randomised controlled trial of the Mobile WACh NEO intervention. We will enrol 5000 pregnant women in the third trimester of pregnancy at 4 facilities in Kenya and randomise them 1:1 to receive interactive SMS or no SMS (control), and conduct follow-up visits at 2 and 6 weeks post partum. Neonatal mortality will be compared between arms as the primary outcome. Secondary outcomes include care-seeking, practice of ENC and psychosocial health. Exploratory analysis will investigate associations between maternal mental health, practice of ENC, care-seeking and SMS engagement. ETHICS AND DISSEMINATION:This study received ethical approval from the University of Washington (STUDY00006395), Women and Infants Hospital (1755292-1) and Kenyatta National Hospital/University of Nairobi (P310/04/2019). All participants will provide written informed consent. Findings will be published in peer-reviewed journals and international conferences. TRIAL REGISTRATION NUMBER:NCT04598165.

PURPOSE/OBJECTIVE:To find out what is known from literature about Long COVID until January 30, 2021. METHODS:We undertook a four-step search with no language restriction. A preliminary search was made to identify the keywords. A search strategy of all electronic databases resulted in 66 eligible studies. A forward and backward search of the references and citations resulted in additional 54 publications. Non-English language articles were translated using Google Translate. We conducted our scoping review based on the PRISMA-ScR Checklist. RESULTS:Of 120 papers, we found only one randomized clinical trial. Of the 67 original studies, 22 were cohort, and 28 were cross-sectional studies. Of the total 120 publications, 49.1% focused on signs and symptoms, 23.3% on management, and 10.8% on pathophysiology. Ten publications focused on imaging studies. The results are also presented extensively in a narrative synthesis in separated sections (nomenclature, diagnosis, pathophysiology, risk factors, signs/symptoms, management). CONCLUSIONS:The controversies in its definition have impaired proper recognition and management. The predominant symptoms were: fatigue, breathlessness, arthralgia, sleep difficulties, and chest pain. Recent reports also point to the risk of long-term sequela with cutaneous, respiratory, cardiovascular, musculoskeletal, mental health, neurologic, and renal involvement in those who survive the acute phase of the illness.

BACKGROUND:The evaluation of treatment outcomes is important for service providers to assess if there is improvement or not. The Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA) was developed for this use in child and adolescent mental health services. Outcome measurement in routine mental health services is limited. This paper evaluates the psychometric properties of the self and clinician rated versions of the HoNOSCA for routine use in child and adolescent mental health services in Kenya. METHODS:Using a prospective design, the clinician- and self-rated versions of the HoNOSCA and the Paediatric Symptom Checklist (PSC) were administered at the Youth Centre at the Kenyatta National Hospital in Nairobi. Initial ratings were obtained from adolescents 12-17 years (n = 201). A sample of 98 paired ratings with 2 follow-ups were examined for measurement of change over time. RESULTS:Our findings showed good reliability with the self-rated version of the HoNOSCA score, correlating well with the self-reported version of the PSC (r = .74, p < .001). Both versions correlated well at follow-up and were sensitive to change. Using factor analysis, the maximum likelihood factoring and Promax rotation resulted in a four-factor structure, which with a Kaiser-Meyer-Olkin measure of sampling adequacy of 0.8 explained 54.74% of total variance. CONCLUSION:The HoNOSCA appears to be of value, and easy to use in routine settings. Our findings suggest further investigation with a larger sample.