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To provide an overview of doctoral programs in nursing offered in Ibero-American countries to inform regional collaboration and academic development.
This study was a descriptive, document analysis.
A systematic mapping was conducted using data obtained from official university and program websites, national postgraduate databases, and academic documents. The variables analysed included country, institution, year of implementation, number of faculty and students, course duration, delivery modality, costs, scholarship availability, internationalisation activities, and research lines.
A total of 94 active nursing doctoral programs were identified. Brazil emerged as the pioneer, launching the first doctoral program in 1982, and remains the regional leader, accounting for 43 programs. Most programs are offered by public institutions (76.6%), delivered primarily in face-to-face format (64.1%), and emphasise research (90.4%). There has been a consistent upward trend in the establishment of programs since 2000, with notable expansion between 2011 and 2025. Despite this progress, regional disparities persist, along with a lack of data standardisation and a limited presence of professional doctorates. While 69.1% of programs reported international activities, few offer joint or dual degrees. The most common thematic axis, “Health Care and Nursing,” proved to be broad and non-specific.
The study reveals the expanding landscape of nursing doctoral education in Ibero-America, while also exposing persistent challenges regarding access, curricular clarity and regional articulation.
Doctoral programs are essential for developing research capacity, academic leadership and evidence-based care. Strengthening these programs could enhance nursing responses to local health needs and promote scientific progress in care delivery.
This study provides the first comprehensive mapping of nursing doctoral programs in Ibero-America, highlighting regional disparities and areas for academic collaboration, with potential impact on policy-making, curriculum development, and the strengthening of research capacity in nursing education.
STROBE (Strengthening the Reporting of Observational Studies in Epidemiology).
No patient or public contribution.
In the last 60 years, newborn bloodspot screening (NBS) has expanded as a public health intervention from a single severe childhood genetic disease (SCGD) to up to as many as 80 SCGD and testing of ~40 million newborns/year worldwide. However, the gap between current NBS and its potential to increase the efficiency, effectiveness and global equity of healthcare delivery for SCGD is large and rapidly growing. There are now effective therapeutic interventions—drugs, diets, devices and surgeries—for up to 2000 SCGD. Since almost all SCGD can be identified by bloodspot genome sequencing, it has been a longstanding goal to supplement current NBS with genome sequencing-based NBS (gNBS) for all eligible SCGD. We recently described a novel gNBS platform (named Begin Newborn Genome Sequencing (BeginNGS)) with the potential to overcome several major challenges to gNBS (cost, scalability, false positives and an unprepared healthcare workforce). A pilot clinical trial of BeginNGS for 412 SCGD in a level IV neonatal intensive care unit (NICU) had a true positive rate of 4.2%, sensitivity of 83%, positive predictive value of 100% and clinical utility rate of 4.2%, indicating readiness of the platform for use in a powered, multicentre study.
The BeginNGS study is a single group, international, multicentre, adaptive clinical trial to compare utility, acceptability, feasibility and cost-effectiveness of BeginNGS gNBS (experimental intervention) with standard NBS (control). A minimum of 10 000 neonates (aged 50 000 US children per year.
This study was approved by the WCG Clinical institutional review board on 14 February 2024, and the most recent amendment approved on 7 October 2025 (approval number 20235517). Study findings will be shared through research consortium workshops, national and international conferences, community presentations and peer-reviewed journals.
The Puerto Rico Department of Health (PRDH) seeks to identify dengue epidemics as early as possible with high specificity.
Development and prospective application of an early warning system for dengue epidemics using routine historical surveillance data. A weekly intercept-only negative binomial regression model was fitted using historical probable and confirmed dengue data. A range of threshold definitions was explored using three model-estimated percentiles of weekly dengue case counts.
Dengue is endemic in Puerto Rico with irregular occurrence of large epidemics with substantial impact on health burden and health systems. Probable and confirmed dengue data are routinely collected from all hospitals and private clinics.
A total of 86 282 confirmed or probable dengue virus cases were reported from 1 January 1986 to 30 June 2024, with an annual mean of 2212 cases (median: 1533; range: 40–10 356).
The model was fitted retrospectively to mimic real-time epidemic detection and assessed based on sensitivity and specificity of epidemic detection.
The 75th percentile threshold aligned best with historical epidemic classifications, balancing false alarms and missed detections. This model provides a robust method for defining thresholds, accounting for skewed data, using all historical data and improving on traditional methods like endemic channels.
In March 2024, PRDH declared a public health emergency due to an early, out-of-season surge in cases that exceeded the epidemic alert threshold developed in this study. This real-time application highlights the value of these thresholds to support dengue epidemic detection and public health response. Integrating thresholds with other tools and strategies can enhance epidemic preparedness and management.
Acute pain in the postoperative period of cardiac surgery is mostly treated with opioid analgesics. However, with the risk of adverse reactions and complications, strategies which do not involve opioid analgesics can be considered, such as aromatherapy. This systematic review aims to analyse the effectiveness of aromatherapy in relieving pain in post-cardiac surgery patients.
Two researchers will independently and simultaneously conduct searches and select studies from the following databases: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Latin American and Caribbean Literature on Health Sciences, Scopus, Web of Science, Cochrane (Library) and clinical trial registries (clinicaltrials.com), with no language or publication date restrictions. Randomised and quasi-randomised clinical trials on the use of aromatherapy for pain relief in postcardiac surgery patients will be included. Then, two researchers will independently examine the studies based on inclusion criteria, extract data from the included studies and assess the risk of bias using the Risk of Bias 2 tool and the Risk of Bias in Non-randomized Studies of Interventions tool from Cochrane. Data will be synthesised using Review Manager software. The strength of the evidence will be evaluated using the Grading of Recommendation Assessment, Development and Evaluation approach. The literature search, study selection, review and meta-analysis stages will be conducted from early October 2025 to April 2026.
This study is based on secondary data, and therefore ethical approval from a research ethics committee was not required. The results will be disseminated through publication in a peer-reviewed scientific journal.
CRD42024568532.
Background
The state of New Jersey has a large Black/African American (AA) versus White racial disparity in infant mortality and educational level at childbirth. This disparity, measured by rate ratio, increases with greater maternal education among varied racial–ethnic groups. The nature of this disparity measured by rate differences has not been explored.
Objectives
Infant birth and mortality data were used to examine whether racial or ethnic disparities in infant mortality increased with greater maternal education, comparing rate differences and rate ratios. Racial and ethnic variations in the association between maternal education and infant mortality were examined.
Methods
Data were from the New Jersey State Health Assessment Data for all New Jersey births between 2014 and 2018 stratified by race and ethnicity, maternal education, and infant mortality (n = 481,333). R software was used to create a data set and estimate additive and multiplicative interactions, rate differences, and rate ratios for infant mortality by maternal race/ethnicity and educational levels among four racial–ethnic groups.
Results
Infant mortality was significantly greater for Black/AA and Hispanic mothers than for White mothers. At all educational levels, Black/AA mothers had the highest prevalence of infant mortality compared to other racial or ethnic groups. Rate differences in infant mortality showed a decrease in Black/AA–White differences for mothers with a high school education or less compared to mothers with a college degree. However, rate ratios showed an increase in Black/AA–White ratio with increasing education levels for mothers with high school education or less than mothers with a college degree. Risk ratios comparing infant mortality for Black/AA versus Hispanic or Asian mothers showed more than a twofold greater risk at all education levels for Black/AA infants. Finally, college-educated Black/AA mothers had significantly higher rates of infant mortality than White or Hispanic mothers with a high school education or less.
Discussion/Implications
Black/AA mothers with a college degree had a higher infant mortality rate than White, Hispanic, or Asian mothers with a high school education or less. Future research should address contextual/systemic contributors to this disparity. 
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