Expected Benefits and Challenges of Using Economic Evaluations to Make Decisions About the Content of Newborn Screening Programs in Vietnam: A Scoping Review of the Literature

Abstract Screening newborns for genetic and other diseases is one of the most effective ways to improve health and reduce disease in a population. In developed countries, newborn screening has been a cornerstone of public health for decades. In many developing countries, however, newborn screening is still in its infancy. Many countries still lack screening programs. When a program is available, it generally lacks well-defined criteria on which decision-makers can justify the choice of diseases screened for and the methods used. One of the reasons put forward to understand this observation is the fact that little consideration is given by decision-makers to economic evaluations as a pillar of decision-making, as is the case in industrialized countries. This article provides a brief description of the challenges of using economic evaluation of newborn screening in developing countries. This will be illustrated by the example of the national newborn screening program in Vietnam.

Validity of the computerized version of the pediatric triage system CLARIPED for emergency care

Abstract Objective: To evaluate the validity of the computerized version of the pediatric triage system CLARIPED. Methods: Prospective, observational study in a tertiary emergency department (ED) from Jan-2018 to Jan-2019. A convenience sample of patients aged 0-18 years who had computerized triage and outcome variables registered. Construct validity was assessed through the association between urgency levels and patient outcomes. Sensitivity, specificity, positive and negative predictive values (PPVand NPV), undertriage, and overtriage rates were assessed. Results: 19,122 of 38,321 visits were analyzed. The urgency levels were: RED (emergency) 0.02%, ORANGE (high urgency) 3.21%, YELLOW (urgency) 35.69%, GREEN (low urgency) 58.46%, and BLUE (no urgency) 2.62%. The following outcomes increased according to the increase in the level of urgency: hospital admission (0.4%, 0.6%, 3.1%, 11.9% and 25%), stay in the ED observation room (2.8%, 4.7%, 15.9%, 40.4%, 50%), ≥ 2 diagnostic or therapeutic resources (7.8%, 16.5%, 33.7%, 60.6%, 75%), and ED length of stay in minutes (18, 24, 67,120, 260). The odds of using ≥ 2 resources or being hospitalized were significantly greater in the most urgent patients (Red, Orange, and Yellow) compared to the least urgent (Green and Blue): OR 7.88 (95%CI: 5.35-11.6) and OR 2.85 (95%CI: 2.63-3.09), respectively. The sensitivity to identify urgency was 0.82 (95%CI: 0.77-0.85); specificity, 0.62 (95%CI: 0.61-0.6; NPV, 0.99 (95%CI: 0.99-1.00); overtriage rate, 4.28% and undertriage, 18.41%. Conclusion: The computerized version of CLARIPED is a valid and safe pediatric triage system, with a significant correlation with clinical outcomes, good sensitivity, and low undertriage rate.

Longitudinal measurement invariance of neuropsychological tests in a diverse sample from the ELSA-Brasil study

Objective: Longitudinal measurement invariance analyses are an important way to assess a test's ability to estimate the underlying construct over time, ensuring that cognitive scores across visits represent a similar underlying construct, and that changes in test performance are attributable to individual change in cognitive abilities. We aimed to evaluate longitudinal measurement invariance in a large, social and culturally diverse sample over time. Methods: A total of 5,949 participants from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) were included, whose cognition was reassessed after four years. Longitudinal measurement invariance analysis was performed by comparing a nested series of multiple-group confirmatory factor analysis models (for memory and executive function factors). Results: Configural, metric, scalar and strict invariance were tested and supported over time. Conclusion: Cognitive temporal changes in this sample are more likely to be due to normal and/or pathological aging. Testing longitudinal measurement invariance is essential for diverse samples at high risk of dementia, such as in low- and middle-income countries.

Patient needs four years after first psychiatric hospitalization in a Brazilian cohort

Knowledge about the needs of psychiatric patients is essential for mental health care planning. However, research on met and unmet needs is still scarce, particularly in low- and middle-income countries. This study aimed to describe the patients' needs (met and unmet) at least four years after their first psychiatric hospitalization and to verify the role of demographic and clinical features as possible predictors of these needs. Patients who had their first psychiatric admission between January 1, 2006 and December 31, 2007 at an inpatient unit in the city of Ribeirão Preto, Brazil, were eligible to participate in the study. Patients were contacted and face-to-face interviews were conducted by psychologists using the Camberwell Assessment of Need. Data were analyzed using zero-inflated negative binomial regression model. Of 933 eligible patients, 333 were interviewed. The highest level of needs was related to welfare benefits (32.4%, unmet=25.5%), followed by household skills (30.3%, unmet=3.0%), psychotic symptoms (29.4%, unmet=9.0%), psychological distress (27.6%, unmet=8.4%), physical health (24.3%, unmet=5.4%), daytime activities (19.5%, unmet=16.5%), and money (16.8%, unmet=9.0%). Fewer years of schooling, living with relatives, and unemployment at the moment of the first admission were significantly associated with a higher number of both met and unmet needs in the follow-up. Unmet needs were also more often reported by patients living alone. In conclusion, socioeconomic indicators were the best predictors of needs. The unmet needs related to welfare benefits point to the need for specific social and health policies.

Population neuroscience: challenges and opportunities for psychiatric research in low- and middle-income countries

Objective: Population neuroscience is an emerging field that combines epidemiology and neuroscience to study how genes and the environment shape typical and atypical brain functioning. The objective of this study was to review key studies on population neuroscience from low- and middle-income countries (LMICs) and to identify potential gaps vis-à-vis studies conducted in high-income countries. Methods: We conducted a systematic review to search for longitudinal cohort studies investigating the development of psychiatric disorders in children and adolescents in LMICs. We performed an electronic search in the EMBASE and MEDLINE databases from inception to July 5th, 2019. Results: We found six cohorts from four countries that met our search criteria: three cohorts from Brazil, one from China, one from South Africa, and one from Mauritius. Relevant examples of findings from these studies are reported. Conclusion: Our results demonstrate the impact of the valuable science output these cohort designs promote, allowing LMICs to have a share in frontline global psychiatry research. National and international funding agencies should invest in LMIC population neuroscience in order to promote replication and generalization of research from high-income countries.

Barriers to early identification of autism in Brazil

Objective: Parents of children with autism spectrum disorders (ASD) seem to perceive that their child's development is not following the normal pattern as early as the first year of life. However, ASD children may not receive a diagnosis until they are of preschool age, especially in low- and middle-income countries. The objective of this study was to evaluate the pathway between initial parental concerns about atypical child development and ASD diagnosis in Brazil. Methods: Nineteen mothers whose children had been diagnosed with ASD participated and were interviewed. The ASD group consisted of two girls and 17 boys, with a mean age of 93.0 months (SD 48.4 months; range 39-197 months). Results: Mothers had their first concerns regarding ASD when children were 23.6±11.6 months old, but formal diagnosis occurred at a mean ± SD age of 59.6±40.5 months, corresponding to a 3-year delay. Most mothers felt discouraged to address their concerns due to negative experiences with health professionals. Conclusion: In Brazil, mothers perceived the first signs of ASD in their children at an age similar to that reported in other countries, but the diagnosis of ASD seemed to be delayed. Consistent with the literature, mothers reported negative experiences with health professionals during the pathway to achieving ASD diagnosis.

Partnership of the Sociedade Brasileira de Oncologia Pediátrica and International Society of Pediatric Oncology to improve nutritional care for children with cancer in Brazil

Abstract The authors present a proposal of a partnership between the Sociedade Brasileira de Oncologia Pediátrica (SOBOPE) and the International Society of Pediatric Oncology (SIOP) to promote the standardization and improvement of nutritional care of kids under cancer treatment in Brazil. The results of the first meeting in Brazil as well as plans for future meetings are described.

Common mental disorders and sociodemographic characteristics: baseline findings of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Objective: To assess the prevalence of common mental disorders (CMD) and the association of CMD with sociodemographic characteristics in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort. Methods: We analyzed data from the cross-sectional baseline assessment of the ELSA-Brasil, a cohort study of 15,105 civil servants from six Brazilian cities. The Clinical Interview Schedule-Revised (CIS-R) was used to investigate the presence of CMD, with a score ≥ 12 indicating a current CMD (last week). Specific diagnostic algorithms for each disorder were based on the ICD-10 diagnostic criteria. Prevalence ratios (PR) of the association between CMD and sociodemographic characteristics were estimated by Poisson regression. Results: CMD (CIS-R score ≥ 12) was found in 26.8% (95% confidence intervals [95%CI] 26.1-27.5). The highest burden occurred among women (PR 1.9; 95%CI 1.8-2.0), the youngest (PR 1.7; 95%CI 1.5-1.9), non-white individuals, and those without a university degree. The most frequent diagnostic category was anxiety disorders (16.2%), followed by depressive episodes (4.2%). Conclusion: The burden of CMD was high, particularly among the more socially vulnerable groups. These findings highlight the need to strengthen public policies aimed to address health inequities related to mental disorders.