Addressing the mental health needs of children affected by HIV in Rwanda: validation of a rapid depression screening tool for children 7–14 years old

Background: Depression in children presents a significant health burden to society and often co-exists with chronic illnesses, such as human immunodeficiency virus (HIV). Research has demonstrated that 10–37% of children and adolescents living with HIV also suffer from depression. Low-and-middle income countries (LMICs) shoulder a disproportionate burden of HIV among other health challenges, but reliable estimates of co-morbid depression are lacking in these settings. Prior studies in Rwanda, a LMIC of 12 million people in East Africa, found that 25% of children living with HIV met criteria for depression. Though depression may negatively affect adherence to HIV treatment among children and adolescents, most LMICs fail to routinely screen children for mental health problems due to a shortage of trained health care providers. While some screening tools exist, they can be costly to implement in resource-constrained settings and are often lacking a contextual appropriateness. Methods: Relying on international guidelines for diagnosing depression, Rwandan health experts developed a freely available, open-access Child Depression Screening Tool (CDST). To validate this tool in Rwanda, a sample of 296 children with a known diagnosis of HIV between ages 7–14 years were recruited as study participants. In addition to completing the CDST, all participants were evaluated by a mental health professional using a structured clinical interview. The validity of the CDST was assessed in terms of sensitivity, specificity, and a receiver operating characteristic (ROC) curve. Results: This analysis found that depression continues to be a co-morbid condition among children living with HIV in Rwanda. For identifying these at-risk children, the CDST had a sensitivity of 88.1% and specificity of 96.5% in identifying risk for depression among children living with HIV at a cutoff score of 6 points. This corresponded with an area under the ROC curve of 92.3%. Conclusions: This study provides evidence that the CDST is a valid tool for screening depression among children affected by HIV in a resource-constrained setting. As an open-access and freely available tool in LMICs, the CDST can allow any health practitioner to identify children at risk of depression and refer them in a timely manner to more specialized mental health services. Future work can show if and how this tool has the potential to be useful in screening depression in children suffering from other chronic illnesses

Transitioning to Country Ownership of HIV Programs in Rwanda

Agnes Binagwaho and colleagues describe how Rwanda achieved country ownership of its HIV programs

Trends in burden and risk factors associated with childhood stunting in Rwanda from 2000 to 2015: Policy and program implications

Background: Rwanda has made substantial economic progress over the past two decades. However, evidence suggests that malnutrition among children remains high in spite of this progress. This study aims to examine trends and potential risk factors associated with childhood stunting from 2000 to 2015 in Rwanda. Methods: Data for this study come from the 2000 to 2015 Rwanda's Demographic and Health Surveys (DHS), a cross-sectional, population-based survey that is conducted every 5 years. Following prior work, we define stunting based on age and weight as reported in the DHS. We assess the overall prevalence of stunting among children under the age of 5 in Rwanda and then conduct bivariate analyses across a range of policy-relevant demographic, socioeconomic, and health variables. We then incorporate key variables in a multivariable analysis to identify those factors that are independently associated with stunting. Results: The prevalence of stunting among children under the age of 5 in Rwanda declined from 2000 (47.4%) to 2015 (38.3%), though rates were relatively stagnant between 2000 and 2010. Factors associated with higher rates of stunting included living in the lowest wealth quintile, having a mother with limited education, having a mother that smoked, being of the male sex, and being of low-birth weight. Conclusions: Though overall stunting rates have improved nationally, these gains have been uneven. Furthering ongoing national policies to address these disparities while also working to reduce the overall risk of malnutrition will be necessary for Rwanda to reach its overall economic and health equity goals.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Estimating health care delivery system value for each US

ObjectiveTo estimate health care systems’ value in treating major illnesses for each US state and identify system characteristics associated with value.Data sourcesAnnual condition-specific death and incidence estimates for each US state from the Global Burden Disease 2019 Study and annual health care spending per person for each state from the National Health Expenditure Accounts.Study designUsing non-linear meta-stochastic frontier analysis, mortality incidence ratios for 136 major treatable illnesses were regressed separately on per capita health care spending and key covariates such as age, obesity, smoking, and educational attainment. State- and year-specific inefficiency estimates were extracted for each health condition and combined to create a single estimate of health care delivery system value for each US state for each year, 1991–2014. The association between changes in health care value and changes in 23 key health care system characteristics and state policies was measured.Data collection/extraction methodsNot applicable.Principal findingsUS state with relatively high spending per person or relatively poor health-outcomes were shown to have low health care delivery system value. New Jersey, Maryland, Florida, Arizona, and New York attained the highest value scores in 2014 (81 [95% uncertainty interval 72-88], 80 [72-87], 80 [71-86], 77 [69-84], and 77 [66-85], respectively), after controlling for health care spending, age, obesity, smoking, physical activity, race, and educational attainment. Greater market concentration of hospitals and of insurers were associated with worse health care value (p-value ranging from <0.01 to 0.02). Higher hospital geographic density and use were also associated with worse health care value (p-value ranging from 0.03 to 0.05). Enrollment in Medicare Advantage HMOs was associated with better value, as was more generous Medicaid income eligibility (p-value 0.04 and 0.01).ConclusionsSubstantial variation in the value of health care exists across states. Key health system characteristics such as market concentration and provider density were associated with value.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/172832/1/hesr13676_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/172832/2/hesr13676.pd

Key HIV Program Indicators in Rwanda, 2005–2013.

<p>Key HIV Program Indicators in Rwanda, 2005–2013.</p

Perceived barriers to the development of modern public health in Bulgaria: a qualitative study

OBJECTIVES: This qualitative investigation documents Bulgarian perspectives on public health following its accession to the European Union (EU) and explores perceived obstacles to the modernization of public health sciences to more effectively address the country's high rates of premature avoidable mortality. METHODS: 28 semi-structured interviews were conducted throughout Bulgaria in April 2007 with Bulgarian academics, clinicians, policymakers and students in Sofia, Varna and Pleven. Full transcripts were subjected to formal thematic analysis. RESULTS: Respondents identified various barriers to the development and modernization to public health infrastructures in Bulgaria that were classified by four key interlinked themes: (1) institutional and political, (2) financial, (3) dearth of local epidemiological studies, and (4) insufficient public health capacity. CONCLUSIONS: This study is the first to explore specific perspectives and beliefs regarding barriers to the development, modernization, and utilization of public health sciences in Bulgaria. Although the reorientation and strengthening of public health institutions are unlikely to proceed without resistance, optimism for improvement in this field exists now that Bulgaria has joined the EU