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The North American Heritage at Risk (NAHAR) collaborative, which formed during the COVID-19 pandemic, allowed for heritage-at-risk partners to shift from reactive to proactive strategies. The result was the creation of the NAHAR research pipeline to respond to landscapes at risk. The pipeline includes modeling of environmental changes to the landscape; monitoring sites to verify location and assess condition; meeting with the public, descendant community, land managers, and transdisciplinary experts in their field to discuss climate change impacts to their heritage in the next 10 years; methodizing by means of a workflow organizer using data from the modeling, monitoring, and meeting; and when appropriate, mitigating areas identified during the methodizing process. In 2020, the Florida Public Archaeology Network—along with partners in Georgia, South Carolina, Washington, Texas, and Louisiana—began the Science Collaborative People of Guana project at the Guana Tolomato Matanzas Estuarine Research Reserve (GTM NERR) north of St. Augustine, Florida. Using a collaborative science mindset, the project team applied the NAHAR pipeline to gain a better sense of how resources were used in the past and how they currently are being used by communities to ensure responsive resource management and relationship building with visitors, descendants, and other community stakeholders, such as the Gullah/Geechee Nation. This article will provide the building blocks for other collaborative teams to follow the NAHAR pipeline and share lessons learned from the two-year project.
We evaluated the feasibility and acceptability of frailty screening using handgrip strength with gait speed measures within four primary care-based memory clinics in Ontario. This mixed methods quality improvement initiative examined the reach, effectiveness, adoption, implementation, and maintenance of frailty screening from the perspective of patients (N = 216), care partners (N = 142), and healthcare providers (N = 9). Frailty screening was well-received by patients and care partners and perceived as quick and easy to administer and integrate into assessment processes by healthcare providers at all four memory clinics. The ease of integrating frailty screening into clinic processes was a key factor facilitating implementation; few challenges or suggestions for improvement were identified. All four clinics plan to continue frailty screening, three using the methods adopted in this study. Integrating frailty screening into memory assessments is feasible and acceptable and, given the interactional relationship between frailty and dementia, provides a significant opportunity to improve health outcomes for older adults.
Understanding characteristics of healthcare personnel (HCP) with SARS-CoV-2 infection supports the development and prioritization of interventions to protect this important workforce. We report detailed characteristics of HCP who tested positive for SARS-CoV-2 from April 20, 2020 through December 31, 2021.
Methods:
CDC collaborated with Emerging Infections Program sites in 10 states to interview HCP with SARS-CoV-2 infection (case-HCP) about their demographics, underlying medical conditions, healthcare roles, exposures, personal protective equipment (PPE) use, and COVID-19 vaccination status. We grouped case-HCP by healthcare role. To describe residential social vulnerability, we merged geocoded HCP residential addresses with CDC/ATSDR Social Vulnerability Index (SVI) values at the census tract level. We defined highest and lowest SVI quartiles as high and low social vulnerability, respectively.
Results:
Our analysis included 7,531 case-HCP. Most case-HCP with roles as certified nursing assistant (CNA) (444, 61.3%), medical assistant (252, 65.3%), or home healthcare worker (HHW) (225, 59.5%) reported their race and ethnicity as either non-Hispanic Black or Hispanic. More than one third of HHWs (166, 45.2%), CNAs (283, 41.7%), and medical assistants (138, 37.9%) reported a residential address in the high social vulnerability category. The proportion of case-HCP who reported using recommended PPE at all times when caring for patients with COVID-19 was lowest among HHWs compared with other roles.
Conclusions:
To mitigate SARS-CoV-2 infection risk in healthcare settings, infection prevention, and control interventions should be specific to HCP roles and educational backgrounds. Additional interventions are needed to address high social vulnerability among HHWs, CNAs, and medical assistants.
Background: Detecting healthcare-associated transmission and outbreaks often relies on reactive whole-genome sequencing (WGS), which occurs after the suspected transmission has occurred. Additionally, reactive WGS frequently misidentifies transmission and misses transmission when it has occurred. We initiated weekly real-time WGS to detect bacterial transmission and direct infection prevention interventions. We describe our experience after 1 year of real-time WGS surveillance at the University of Pittsburgh Medical Center–Presbyterian Hospital, a large, tertiary-care facility. Methods: Weekly WGS surveillance was performed from November 1, 2021, to October 31, 2022. Cultured isolates of select bacterial pathogens from patients who were hospitalized for ≥3 days or had a recent healthcare exposure in the prior 30 days were collected and sequenced. Isolates that were ≤15 single-nucleotide polymorphisms (SNPs) were considered genetically related clusters except for Clostridioides difficile (≤2 SNPs). Genetically related clusters were investigated for epidemiological links and interventions to interrupt transmission were implemented at the discretion of the infection prevention team. We analyzed subsequent infections that occurred within an outbreak after an intervention was in place. Results: In total, 1,909 isolates were sequenced. Of 1,633 unique patient isolates clustered by sequence type, 74 clusters were identified comprising 210 (12.9%) patient isolates (Table 1). The median time from culture date to sequencing was 14 days (IQR, 5.25). The median cluster size was 2 (IQR, 1) (Table 2). Overall, 118 patient isolates (56.2%) had an epidemiological link to a prior isolate, indicating potential transmission. Of 74 clusters, 66 (89.2%) received infection prevention interventions after notification based upon epidemiological data. The infection prevention team performed 69 total interventions, which included unit education (n = 28), hand hygiene observations (n = 16), enhanced cleaning (n = 16), environmental cultures or removal of endoscope (n = 7), and enhanced microbiology surveillance (n = 2). The 59 subsequent infections after infection prevention notification included 17 (28.8%) with no clear epidemiological link, and 41 (69.5%) with an epidemiological link either to a new transmission route (n = 37) or the same route prior to infection prevention intervention (n = 4). Only 1 (1.7%) subsequent infection within a cluster occurred after an infection prevention intervention from the same potential route, which was a suspected unit-based transmission of vancomycin-resistant Enterococcus faecium. Conclusions: Real-time WGS was effective at detecting genetically related clusters, finding potential sources, and halting further transmission after interventions by the infection prevention team. Quick turnaround times from patient culture to sequencing and analysis were vital for successful WGS surveillance. Real-time WGS surveillance has the potential to substantially shift the infection prevention paradigm for outbreak detection.
This study explored programme recipients’ and deliverers’ experiences and perceived outcomes of accessing or facilitating a grocery gift card (GGC) programme from I Can for Kids (iCAN), a community-based programme that provides GGC to low-income families with children.
Design:
This qualitative descriptive study used Freedman et al’s framework of nutritious food access to guide data generation and analysis. Semi-structured interviews were conducted between August and November 2020. Data were analysed using directed content analysis with a deductive–inductive approach.
Participants:
Fifty-four participants were purposively recruited, including thirty-seven programme recipients who accessed iCAN’s GGC programme and seventeen programme deliverers who facilitated it.
Setting:
Calgary, Alberta, Canada.
Results:
Three themes were generated from the data. First, iCAN’s GGC programme promoted a sense of autonomy and dignity among programme recipients as they appreciated receiving financial support, the flexibility and convenience of using GGC, and the freedom to select foods they desired. Recipients perceived these benefits improved their social and emotional well-being. Second, recipients reported that the use of GGC improved their households’ dietary patterns and food skills. Third, both participant groups identified programmatic strengths and limitations.
Conclusion:
Programme recipients reported that iCAN’s GGC programme provided them with dignified access to nutritious food and improved their households’ finances, dietary patterns, and social and emotional well-being. Increasing the number of GGC provided to households on each occasion, establishing clear and consistent criteria for distributing GGC to recipients, and increasing potential donors’ awareness of iCAN’s GGC programme may augment the amount of support iCAN could provide to households.
To assess the prevalence, severity and socio-demographic predictors of household food insecurity among vulnerable women accessing the Canada Prenatal Nutrition Program (CPNP) and to examine associations between household food insecurity and breastfeeding practices to 6 months.
Design:
Cohort investigation pooling data from two studies which administered the 18-item Household Food Security Survey Module at 6 months postpartum and collected prospective infant feeding data at 2 weeks and 2, 4 and 6 months. Household food insecurity was classified as none, marginal, moderate or severe. Logistic regression analyses were performed to assess predictors of household food insecurity and associations between household food security (any and severity) and continued and exclusive breastfeeding.
Setting:
Three Toronto sites of the CPNP, a federal initiative targeting socially and/or economically vulnerable women.
Participants:
316 birth mothers registered prenatally in the CPNP from 2017 to 2020.
Results:
Household food insecurity at 6 months postpartum was highly prevalent (44 %), including 11 % in the severe category. Risk of household food insecurity varied by CPNP site (P < 0·001) and was higher among multiparous participants (OR 2·08; 95 % CI 1·28, 3·39). There was no association between the prevalence or severity of food insecurity and continued or exclusive breastfeeding to 6 months postpartum in the adjusted analyses.
Conclusions:
Household food insecurity affected nearly half of this cohort of women accessing the CPNP. Further research is needed on household food insecurity across the national CPNP and other similar programmes, with consideration of the implications for programme design, service delivery and policy responses.
Whole-genome sequencing (WGS) has traditionally been used in infection prevention to confirm or refute the presence of an outbreak after it has occurred. Due to decreasing costs of WGS, an increasing number of institutions have been utilizing WGS-based surveillance. Additionally, machine learning or statistical modeling to supplement infection prevention practice have also been used. We systematically reviewed the use of WGS surveillance and machine learning to detect and investigate outbreaks in healthcare settings.
Methods:
We performed a PubMed search using separate terms for WGS surveillance and/or machine-learning technologies for infection prevention through March 15, 2021.
Results:
Of 767 studies returned using the WGS search terms, 42 articles were included for review. Only 2 studies (4.8%) were performed in real time, and 39 (92.9%) studied only 1 pathogen. Nearly all studies (n = 41, 97.6%) found genetic relatedness between some isolates collected. Across all studies, 525 outbreaks were detected among 2,837 related isolates (average, 5.4 isolates per outbreak). Also, 35 studies (83.3%) only utilized geotemporal clustering to identify outbreak transmission routes. Of 21 studies identified using the machine-learning search terms, 4 were included for review. In each study, machine learning aided outbreak investigations by complementing methods to gather epidemiologic data and automating identification of transmission pathways.
Conclusions:
WGS surveillance is an emerging method that can enhance outbreak detection. Machine learning has the potential to identify novel routes of pathogen transmission. Broader incorporation of WGS surveillance into infection prevention practice has the potential to transform the detection and control of healthcare outbreaks.
The study examined the association between depressive symptoms and iron status, anaemia, body weight and pubertal status among Mexican adolescent girls.
Design:
In this cross-sectional study, depressive symptoms were assessed by the 6-item Kutcher Adolescent Depression Scale, and latent class analysis (LCA) was used to identify and characterise groups of girls based on depressive symptoms. Iron status and inflammation were assessed using ferritin and soluble transferrin receptor, C-reactive protein and alpha-1-acid glycoprotein, respectively. Multiple logistic and linear regressions were applied to model class membership as a function of iron status, anaemia, body weight and pubertal status.
Participants:
We collected data from 408 girls aged 12–20 years.
Setting:
Public schools in northern Mexico.
Results:
LCA yielded three classes of depressive symptoms: 44·4 % of the adolescents were ‘unlikely to be depressed’, 41·5 % were ‘likely to be depressed’ and 14·1 % were ‘highly likely to be depressed’. Our analyses demonstrated that iron-deficient girls had greater odds of being ‘likely depressed’ (OR 2·01, 95 % CI 1·01, 3·00) or ‘highly likely depressed’ (OR 2·80, 95 % CI 1·76, 3·84). Linear regression analyses revealed that lower Hb concentrations and higher body weight increased the probability of being ‘likely depressed’. There was no evidence that depressive symptoms were associated with age at menarche and years since menstruation.
Conclusions:
This study shows that iron-deficient adolescent girls are more likely to suffer from depressive symptoms and that lower concentrations of Hb and higher body weight increased the probability of experiencing depressive symptoms.
Background: Traditional infection prevention (IP) methods for outbreak detection often rely on geotemporal clustering confined to single locations. We recently developed the Enhanced Detection System for Healthcare-Associated Transmission (EDS-HAT), which combines whole-genome sequencing (WGS) surveillance and machine learning of the electronic health record (EHR). Our retrospective research findings show potential transmissions averted and cost savings using EDS-HAT in real time. Here, we describe the process and initial findings from EDS-HAT real-time implementation. Methods: Real-time whole-genome sequencing surveillance began on November 1, 2021. Patient cultures positive for select bacterial pathogens who were hospitalized for ≥3 days or had a recent healthcare exposure in the prior 30-days were collected. Isolates were deemed genetically related if ≤15 single-nucleotide polymorphisms (SNPs) were identified for all organisms except Clostridioides difficile (≤2 SNPs). Clusters were manually investigated by both research and IP teams, and interventions were performed by the IP team. Data on collection, analysis, notification, and intervention dates were gathered. Results: As of January 11, 2022, 413 isolates had undergone whole-genome sequencing. Among them, 18 unique patient isolates were genetically related to ≥1 other isolate, comprising 7 clusters (range, 2–6 patients). Notable findings include a Pseudomonas aeruginosa cluster possibly related to a shared bronchoscope, a pseudo-outbreak of Serratia marcescens related to autopsy blood culture practice, and a cluster of vancomycin-resistant Enterococcus faecium on a shared transplant unit. Only 1 cluster of 2 isolates of Klebsiella pneumoniae had no known possible transmission routes. The median turnaround time from patient’s culture date to IP notification was 19 days (range, 13–28), with noted delays over the winter holiday. Concusions: Real-time WGS can identify small clusters including potentially interruptible transmission routes. Rapid turnaround time, coordination between clinical and genomic laboratories, and a robust IP team are key factors in implementing a WGS surveillance program. Real-time WGS surveillance has the potential to reduce costs for hospitals, improve patient safety, and save lives.
Although twins often participate in medical research, few clinical trials are conducted entirely in twin populations. The purpose of this review is to demonstrate the substantial benefits and address the key challenges of conducting clinical trials in twin populations, or ‘twin-only trials’. We consider the unique design, analysis, recruitment and ethical issues that arise in such trials. In particular, we describe the different approaches available for randomizing twin pairs, highlight the similarity or correlation that exists between outcomes of twins, and discuss the impact of this correlation on sample size calculations and statistical analysis methods for estimating treatment effects. We also consider the role of both monozygotic and dizygotic twins for studying variation in outcomes, the factors that may affect recruitment of twins, and the ethics of conducting trials entirely in twin populations. The advantages and disadvantages of conducting twin-only trials are also discussed. Finally, we recommend that twin-only trials should be considered more often.
People presenting with first-episode psychosis (FEP) have heterogenous outcomes. More than 40% fail to achieve symptomatic remission. Accurate prediction of individual outcome in FEP could facilitate early intervention to change the clinical trajectory and improve prognosis.
Aims
We aim to systematically review evidence for prediction models developed for predicting poor outcome in FEP.
Method
A protocol for this study was published on the International Prospective Register of Systematic Reviews, registration number CRD42019156897. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance, we systematically searched six databases from inception to 28 January 2021. We used the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies and the Prediction Model Risk of Bias Assessment Tool to extract and appraise the outcome prediction models. We considered study characteristics, methodology and model performance.
Results
Thirteen studies reporting 31 prediction models across a range of clinical outcomes met criteria for inclusion. Eleven studies used logistic regression with clinical and sociodemographic predictor variables. Just two studies were found to be at low risk of bias. Methodological limitations identified included a lack of appropriate validation, small sample sizes, poor handling of missing data and inadequate reporting of calibration and discrimination measures. To date, no model has been applied to clinical practice.
Conclusions
Future prediction studies in psychosis should prioritise methodological rigour and external validation in larger samples. The potential for prediction modelling in FEP is yet to be realised.
COVID-19 has had a devasting impact on older adults in Canada, including persons living with dementia. This intrinsic case study sought to understand the perceptions of persons living with dementia regarding how COVID-19 has impacted their well-being. Ten persons living with dementia participated in in-depth qualitative interviews about their experience with COVID-19. Using thematic analysis, four themes were identified: (1) expressing current and future concerns; (2) social connections and isolation; (3) adapting to change and resilience through engagement and hope; and (4) we’re not all the same: reflecting individual experiences of the pandemic. Results highlight that while COVID-19 contributed to isolation, concerns, and frustrations, persons with dementia also demonstrated adaptation and resilience. This study reinforced that persons with dementia and their responses to challenges are unique. Therefore, interventions to support persons with dementia must also be individualized to each person’s abilities and circumstances.
The systematic review examined the phenomenon of trust during public health emergency events. The literature reviewed was field studies done with people directly affected or likely to be affected by such events and included quantitative, qualitative, mixed-method, and case study primary studies in English (N = 38) as well as Arabic, Chinese, French, Russian, and Spanish (all non-English N = 30). Studies were mostly from high- and middle-income countries, and the event most covered was infectious disease. Findings from individual studies were first synthesized within methods and evaluated for certainty/confidence, and then synthesized across methods. The final set of 11 findings synthesized across methods identified a set of activities for enhancing trust and showed that it is a multi-faceted and dynamic concept.
To investigate potential risk factors for mild behavioral impairment (MBI) among non-demented geriatrics.
Design:
Population-based, cross-sectional survey.
Setting:
Taiwan Alzheimer Disease Association (TADA) Database.
Participants:
Participants were selected by multistage random sampling of all Taiwan counties. They received in-person interviews between December 2011 and March 2013.
Measurements:
Demographic data, lifestyle and habits, medical comorbidities, cognitive status measured by the Taiwanese Mini-Mental Status Examination (TMSE) and presence of MCI of the participants were collected. Subjects were distributed to the MBI and non-MBI groups. These factors had been evaluated for their effects on MBI in the univariate and multivariable logistic regression models.
Results:
In total, 6,196 non-demented participants aged 65 years or older, including 409 MBI and 5,787 non-MBI participants, were recruited. After adjustment for age, sex, education, body mass index, lifestyle and habits, medical comorbidities, and MCI, good sleep was associated with lower risk of MBI (OR 0.09, 95% CI 0.07 – 0.12). Low body weight (OR 2.01, 95% CI 1.21–3.33), low-to-medium education (OR 1.40, 95%CI 1.06–1.85; OR 2.32, 95% CI 1.67–3.21), medical comorbidities of hypertension (OR 1.56, 95% CI 1.25–1.95), hyperlipidemia (OR 1.29, 95% CI 1.00–1.67), cancer (OR 2.05, 95% CI 1.37–3.06) were significantly associated with increased MBI risk. MCI neither increased nor decreased risk of MBI (OR 1.00, 95% CI 0.76–1.32).
Conclusions:
Good sleep was associated with lower MBI risk. Underweight, lower education, medical comorbidities of cancer, hypertension, hyperlipidemia were predictive of MBI.
Frailty prevalence is higher in low- and middle-income countries (LMICs) compared with high-income countries when measured by biomedical frailty models, the most widely used being the frailty phenotype. Frailty in older people is becoming of global public health interest as a means of promoting health in old age in LMICs. As yet, little work has been done to establish to what extent the concept of frailty, as conceived according to ‘western’ biomedicine, has cross-cultural resonance for a low-income rural African setting. This study aimed to investigate the meaning of frailty contextually, using the biomedical concept of the frailty phenotype as a framework. Qualitative interviews were conducted with a purposive sample of older adults, their care-givers and community representatives in rural northern Tanzania. Thirty interview transcripts were transcribed, translated from Kiswahili to English and thematically analysed. Results reveal that despite superficial similarities in the understanding of frailty, to a great extent the physical changes highlighted by the frailty phenotype were naturalised, except when these were felt to be due to a scarcity of resources. Frailty was conceptualised as less of a physical problem of the individual, but rather, as a social problem of the community, suggesting that the frailty construct may be usefully applied cross-culturally when taking a social equity focus to the health of older people in LMICs.
The magnetic resonance imaging (MRI) appearance of the brain and spinal cord in humans with neuroangiostrongyliasis (NA) due to Angiostrongylus cantonensis infection has been well reported. Equivalent studies in animals are lacking. This case series describes clinical and MRI findings in 11 dogs with presumptively or definitively diagnosed NA. MRI of the brain and/or spinal cord was performed using high-field (1.5 T) or low-field (0.25 T) scanners using various combinations of transverse, sagittal, dorsal and three-dimensional (3D) T1-weighted (T1W), transverse, sagittal and dorsal T2-weighted (T2W), T2W fluid-attenuated inversion recovery (FLAIR) and T2*-weighted (T2*W) gradient echo (GRE), dorsal T2W short tau inversion recovery (STIR) and post-gadolinium transverse, sagittal, dorsal and 3D T1W and transverse T2W FLAIR sequences. In 4/6 cases where the brain was imaged, changes consistent with diffuse meningoencephalitis were observed. Evidence of meningeal involvement was evident even when not clinically apparent. The spinal cord was imaged in 9 dogs, with evidence of meningitis and myelitis detected in regions consistent with the observed neuroanatomical localization. Pathognomonic changes of neural larva migrans, as described in some human patients with NA, were not detected. NA should be considered in the differential diagnosis of dogs with MRI evidence of focal or diffuse meningitis, myelitis and/or encephalitis, especially in areas where A. cantonensis is endemic. If not precluded by imaging findings suggestive of brain herniation, cerebrospinal fluid (CSF) collection for cytology, fluid analysis, real-time polymerase chain reaction (qPCR) and enzyme-linked immunosorbent assay (ELISA) testing should be considered mandatory in such cases after the MRI studies.
The principal aim of this study was to optimize the diagnosis of canine neuroangiostrongyliasis (NA). In total, 92 cases were seen between 2010 and 2020. Dogs were aged from 7 weeks to 14 years (median 5 months), with 73/90 (81%) less than 6 months and 1.7 times as many males as females. The disease became more common over the study period. Most cases (86%) were seen between March and July. Cerebrospinal fluid (CSF) was obtained from the cisterna magna in 77 dogs, the lumbar cistern in f5, and both sites in 3. Nucleated cell counts for 84 specimens ranged from 1 to 146 150 cells μL−1 (median 4500). Percentage eosinophils varied from 0 to 98% (median 83%). When both cisternal and lumbar CSF were collected, inflammation was more severe caudally. Seventy-three CSF specimens were subjected to enzyme-linked immunosorbent assay (ELISA) testing for antibodies against A. cantonensis; 61 (84%) tested positive, titres ranging from <100 to ⩾12 800 (median 1600). Sixty-one CSF specimens were subjected to real-time quantitative polymerase chain reaction (qPCR) testing using a new protocol targeting a bioinformatically-informed repetitive genetic target; 53/61 samples (87%) tested positive, CT values ranging from 23.4 to 39.5 (median 30.0). For 57 dogs, it was possible to compare CSF ELISA serology and qPCR. ELISA and qPCR were both positive in 40 dogs, in 5 dogs the ELISA was positive while the qPCR was negative, in 9 dogs the qPCR was positive but the ELISA was negative, while in 3 dogs both the ELISA and qPCR were negative. NA is an emerging infectious disease of dogs in Sydney, Australia.
Migration is an important social determinant of health for immigrants in the United States. Increased attention on Latino immigrants in recent years has sparked interest in policies that affect this population. While prior research has assessed the potential health impact of specific immigration policies, there is limited understanding of how the overall sociopolitical context shapes the health of Latino immigrants. This study examines the potential mechanisms that link the sociopolitical context and health among Latino immigrants. Specifically, we explore how perceptions of the sociopolitical context are implicated in this relationship. Qualitative interviews with community gatekeepers (n=13) and Latino immigrants (n=34) in New York City revealed general perceptions about the overall sociopolitical context, which were characterized by discrimination towards immigrants, unpredictable and mercurial circumstances, and confusion and lack of information. These perceptions influenced participants’ psycho-emotional health and health-related behaviors. Findings suggest the importance of integrating immigrants’ perceptions of the sociopolitical context into health promotion efforts. Furthermore, findings demonstrate the need for paradigm shifts in developing policy-related actions to integrate immigrants’ perspectives. We propose an integrated, multi-level framework to guide future research and practice regarding social determinants of immigrant health.