Background: The National Institutes of Health (NIH)-funded Diversity Program Consortium (DPC) includes a Coordination and Evaluation Center (CEC) to conduct a longitudinal evaluation of the two signature, national NIH initiatives - the Building Infrastructure Leading to Diversity (BUILD) and the National Research Mentoring Network (NRMN) programs - designed to promote diversity in the NIH-funded biomedical, behavioral, clinical, and social sciences research workforce. Evaluation is central to understanding the impact of the consortium activities. This article reviews the role and function of the CEC and the collaborative processes and achievements critical to establishing empirical evidence regarding the efficacy of federally-funded, quasi-experimental interventions across multiple sites. The integrated DPC evaluation is particularly significant because it is a collaboratively developed Consortium Wide Evaluation Plan and the first hypothesis-driven, large-scale systemic national longitudinal evaluation of training programs in the history of NIH/National Institute of General Medical Sciences.
Key Highlights: To guide the longitudinal evaluation, the CEC-led literature review defined key indicators at critical training and career transition points - or Hallmarks of Success. The multidimensional, comprehensive evaluation of the impact of the DPC framed by these Hallmarks is described. This evaluation uses both established and newly developed common measures across sites, and rigorous quasi-experimental designs within novel multi-methods (qualitative and quantitative). The CEC also promotes shared learning among Consortium partners through working groups and provides technical assistance to support high-quality process and outcome evaluation internally of each program. Finally, the CEC is responsible for developing high-impact dissemination channels for best practices to inform peer institutions, NIH, and other key national and international stakeholders.
Implications: A strong longitudinal evaluation across programs allows the summative assessment of outcomes, an understanding of factors common to interventions that do and do not lead to success, and elucidates the processes developed for data collection and management. This will provide a framework for the assessment of other training programs and have national implications in transforming biomedical research training.
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http://dx.doi.org/10.1186/s12919-017-0087-4 | DOI Listing |
Background: Despite the significant public health burden of maternal mental health disorders in sub-Saharan Africa (SSA), limited data are available on their effects on early childhood development (ECD), nutritional status, and child health in the region.
Aims: This study investigated the association between maternal mental health and ECD, nutritional status, and common childhood illnesses, while controlling for biological, social, financial, and health-related factors and/or confounders.
Method: As part of the Innovative Partnership for Universal and Sustainable Healthcare (i-PUSH) program evaluation study, initiated in November 2019, a cohort of low-income rural families, including pregnant women or women of childbearing age with children under five, was recruited for this study.
J Gerontol A Biol Sci Med Sci
January 2025
Yale School of Public Health, Department of Biostatistics, New Haven, CT.
Background: In longitudinal studies of older persons, complete ascertainment of mortality is needed to minimize potential biases. To ascertain mortality in the National Health and Aging Trends Study (NHATS), investigators are advised to use its Sensitive files, which include month and year of death on most decedents who had not dropped out of the study. Because losses to follow-up are not insubstantial, ascertainment of mortality is likely incomplete.
View Article and Find Full Text PDFEchocardiography
January 2025
Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Objectives: Supra-normal left ventricular ejection fraction (snLVEF) represents a heterogeneous group with distinct prognoses. Left atrial (LA) strain, measured by speckle tracking echocardiography (STE), is a validated prognostic indicator. This study aimed to evaluate LA and left ventricular (LV) mechanical strains in hypertensive patients with snLVEF.
View Article and Find Full Text PDFAlzheimers Dement (Amst)
January 2025
Introduction: Cross-sectional resting-state functional magnetic resonance imaging (rsfMRI) studies have revealed altered complexity with advanced Alzheimer's disease (AD) stages. The current study conducted longitudinal rsfMRI complexity analyses in AD.
Methods: Linear mixed-effects (LME) models were implemented to evaluate altered rates of disease progression in complexity across disease groups.
Tob Induc Dis
January 2025
Faculty of Health Sciences, Valencian International University, Valencia, Spain.
Introduction: The aim was to establish EC use risk and protective factors, the reasons for use, associations with tobacco and other substance use, and use for smoking cessation.
Methods: A systematic review following PRISMA guidelines was registered in PROSPERO (CRD42024532771). Searches in Web of Science and PubMed/MEDLINE (March-April 2024) used terms like 'electronic cigarette' and 'adolescents' with a PICO framework.
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