The purpose of this study was to assess changes in diabetes management and healthcare utilisation among First Nations with diabetes in Alberta before and during the COVID-19 pandemic.
This analysis used a retrospective cohort in a case–control design. Individual-level administrative health datasets (1 April 2018 to 31 March 2022) were linked and data were formatted as a segmented interrupted time series.
This study took place in Alberta, Canada using administrative data.
Adult First Nations and non-First Nations (matched 1:1) with diabetes and living in Alberta were included (n=28 101; 53% female, 47% male).
The primary outcome was the change in incidence rate of general practitioner (GP) visits, emergency department (ED) visits, hospitalisations and diabetes-related drug dispenses during-COVID-19 versus pre-COVID-19, quantified using generalised linear regressions. The secondary outcome was to report the reasons for non-drug outcomes pre-COVID-19 and during-COVID-19, based on primary diagnosis International Statistical Classification of Diseases and Related Health Problems codes.
Pre-COVID-19, baseline rates of GP visits, ED visits, hospitalisations and drug dispenses were significantly higher among First Nations compared with non-First Nations (rate differences 398.32 (391.97–404.67), 100.58 (98.32–102.84), 14.49 (13.56–15.43), 876.98 (868.72–885.24) per 100 person-years (PY); p
Healthcare utilisation was substantially elevated among First Nations compared with non-First Nations peoples before and during COVID-19. While the generalisability of our findings to other health systems and populations may be limited, our findings are clinically applicable among First Nations across Alberta in order to help direct public health programming post-COVID-19.
Adolescent pregnancy is a global issue. Early childbearing is strongly linked to poverty and negative health outcomes, including increased neonatal death risk. This study explores spatial patterns of adolescent pregnancies and neonatal deaths and their association with socioeconomic characteristics.
This population-based study used spatial analysis techniques to investigate the geographical distribution of adolescent pregnancies, socioeconomic characteristics and neonatal mortality rate (NMR).
The 645 municipalities of State of Sao Paulo, Brazil.
All live births to mothers residing in the State of Sao Paulo, Brazil, between 2004 and 2020.
The socioeconomic indicators used were: municipal human development index and per capita income (PCI). Spatial patterns were assessed for spatial autocorrelation (Moran’s I, LISA), and smoothed using local Bayesian estimation. Spearman’s correlation was used to ascertain the relationship between the percentage of live births to adolescent mothers and socioeconomic indexes. This calculation was also undertaken between different maternal age groups of NMR.
The study analysed over 10 million live births, with 14.3% attributed to adolescent mothers. Spatial analysis revealed significant clustering of adolescent pregnancies, strongly associated with lower socioeconomic indicators. NMR also exhibited spatial clustering, particularly after smoothing. Statistically significant differences were observed in PCI medians between high–high and low–low clusters for adolescent births. High and low incidence areas of NMR, both in all maternal ages and stratified by adolescent and non-adolescent mothers, demonstrated considerable overlap.
The results indicated the existence of clustering areas of adolescent pregnancy and neonatal deaths and suggested that the prevalence of births to adolescent mothers is not distributed equally and is higher in lower socioeconomic developed areas.
To describe the association between place of residence in Alberta, Canada, and cardiovascular event risk among adults newly treated with metformin for type 2 diabetes.
Retrospective cohort study.
Administrative data from Alberta, Canada between 2008 and 2023.
Adult new metformin users, categorised by residence (rural, urban, metropolitan) from postal codes 1 year before metformin.
Cause-specific hazard models were constructed for the primary composite outcome (cardiovascular mortality, hospitalisation for an acute coronary syndrome or stroke) and each of the secondary outcomes (components of the primary outcome and all-cause mortality). Models were adjusted for baseline demographics, healthcare utilisation and diabetes complications.
A total of 236 005 adult new metformin users were identified and distributed across the rural-urban continuum (66% metropolitan, 10% urban, 24% rural). Mean age was 55 years, 55% were men, and mean follow-up time was 5.7 years. There were 19 059 primary composite outcome events, and rural residents were more likely to experience the outcome, adjusted HR (aHR): 1.09 (95% CI 1.06 to 1.13), compared with metropolitan. A significant interaction between residence and cardiovascular event history was identified. When stratified, risk of the primary outcome among those without cardiovascular history and living in a rural area was aHR: 1.16 (95% CI 1.11 to 1.20). Among rural residents with cardiovascular history, the risk was aHR: 0.84 (95% CI 0.78 to 0.91).
Quantifying the association between residence and risk of cardiovascular events may focus the allocation of healthcare resources. Development of targeted intervention programmes should focus on primary prevention in rural areas and secondary prevention in metropolitan areas.
Combined vascular endothelial growth factor/programmed death-ligand 1 blockade through atezolizumab/bevacizumab (A/B) is the current standard of care in advanced hepatocellular carcinoma (HCC). A/B substantially improved objective response rates compared with tyrosine kinase inhibitor sorafenib; however, a majority of patients will still not respond to A/B. Strong scientific rationale and emerging clinical data suggest that faecal microbiota transfer (FMT) may improve antitumour immune response on PD-(L)1 blockade. Early trials in melanoma with FMT and reinduction of immune checkpoint blockade (ICI) therapy in patients with anti-PD-1-refractory metastatic melanoma were reported in 2021 and demonstrated reinstatement of response to ICI therapy in many patients. Due to anatomical vicinity and the physiological relevance of the gut-liver axis, we hypothesise HCC to be a particularly attractive cancer entity to further assess a potential benefit of FMT in combination with ICI towards increased antitumour immunity. Additionally, HCC often occurs in patients with liver cirrhosis, where liver function is prognostically relevant. There is evidence that FMT may increase hepatic function and therefore could positively affect outcome in this patient population.
This prospective, multicentre, randomised, placebo-controlled, double-blind phase II clinical trial has been designed to assess immunogenicity and safety of FMT via INTESTIFIX 001 combined with A/B in advanced HCC in comparison to A/B with placebo. Primary endpoints are measured as tumour CD8+ T cell infiltration after 2 cycles of treatment with vancomycin, A/B+INTESTIFIX 001 in comparison to vancomycin-placebo, A/B+INTESTIFIX 001-placebo and safety of the therapeutic combination in advanced HCC. INTESTIFIX 001 is an encapsulated FMT preparation by healthy donors with a high alpha-diversity in their gut microbiome for oral administration, manufactured by the Cologne Microbiota Bank (CMB). Sample size was calculated to achieve a specific expected accuracy for the primary immunological endpoint. 48 subjects will be randomised to reach a goal of 42 usable measurements in the modified intention-to-treat set. Subjects will be randomised in a 2:1 ratio to A/B or placebo (28 A/B, 14 placebo).
The study was approved by ethics committee review and the German Federal Ministry of Drugs and Medical Devices. The trial is registered under EU CT no. 2023-506887-15-00. The outcome of the study will be disseminated via peer-reviewed publications and at international conferences.
It is unclear how mis- and disinformation regarding healthcare policy changes propagate throughout Latino communities via social media. This may lead to chilling effects that dissuade eligible individuals from enrolling in critical safety net programmes such as Medicaid. This study will examine pathways and mechanisms by which sentiment in response to mis- and disinformation regarding healthcare policies on social media differentially impact health disparity populations, thus supporting the design of tailored social media interventions to mitigate this.
We will search social media from X/Twitter, Facebook/Instagram and Reddit for keywords relating to health benefit programmes. Demographic, geographical location and other characteristics of users will be used to stratify social media data. Posts will be classified as fake-news-related or fact-related based on curated lists of fake-news-related websites. The number, temporal dissemination and positive or negative sentiment in reacting to posts and threads will be examined using the Python-based Valence Aware Dictionary and sEntiment Reasoner (VADER). Using a crowd-sourcing methodology, a novel Spanish-language VADER (S-VADER) will be created to rate sentiment to social media among Spanish-speaking Latinos. With the proposed approach, we will explore reactions to the dissemination of fake-news- or fact-related social media tweets and posts and their sources. Analyses of social media posts in response to healthcare-related policies will provide insights into fears faced by Latinos and Spanish speakers, as well as positive or negative perceptions relating to the policy over time among social media users.
Our study protocol was approved by the University of California, Los Angeles IRB (IRB#23–0 01 123). Results from this study will be disseminated in peer-reviewed journals and conference presentations, and S-VADER will be disseminated to public repositories such as GitHub.