Nevin Manimala

PLoS One. 2023 May 30;18(5):e0286259. doi: 10.1371/journal.pone.0286259. eCollection 2023.

ABSTRACT

BACKGROUND: Schools are high-risk settings for infectious disease transmission. Wastewater monitoring for infectious diseases has been used to identify and mitigate outbreaks in many near-source settings during the COVID-19 pandemic, including universities and hospitals but less is known about the technology when applied for school health protection. This study aimed to implement a wastewater surveillance system to detect SARS-CoV-2 and other public health markers from wastewater in schools in England.

METHODS: A total of 855 wastewater samples were collected from 16 schools (10 primary, 5 secondary and 1 post-16 and further education) over 10 months of school term time. Wastewater was analysed for SARS-CoV-2 genomic copies of N1 and E genes by RT-qPCR. A subset of wastewater samples was sent for genomic sequencing, enabling determination of the presence of SARS-CoV-2 and emergence of variant(s) contributing to COVID-19 infections within schools. In total, >280 microbial pathogens and >1200 AMR genes were screened using RT-qPCR and metagenomics to consider the utility of these additional targets to further inform on health threats within the schools.

RESULTS: We report on wastewater-based surveillance for COVID-19 within English primary, secondary and further education schools over a full academic year (October 2020 to July 2021). The highest positivity rate (80.4%) was observed in the week commencing 30th November 2020 during the emergence of the Alpha variant, indicating most schools contained people who were shedding the virus. There was high SARS-CoV-2 amplicon concentration (up to 9.2×106 GC/L) detected over the summer term (8th June – 6th July 2021) during Delta variant prevalence. The summer increase of SARS-CoV-2 in school wastewater was reflected in age-specific clinical COVID-19 cases. Alpha variant and Delta variant were identified in the wastewater by sequencing of samples collected from December to March and June to July, respectively. Lead/lag analysis between SARS-CoV-2 concentrations in school and WWTP data sets show a maximum correlation between the two-time series when school data are lagged by two weeks. Furthermore, wastewater sample enrichment coupled with metagenomic sequencing and rapid informatics enabled the detection of other clinically relevant viral and bacterial pathogens and AMR.

CONCLUSIONS: Passive wastewater monitoring surveillance in schools can identify cases of COVID-19. Samples can be sequenced to monitor for emerging and current variants of concern at the resolution of school catchments. Wastewater based monitoring for SARS-CoV-2 is a useful tool for SARS-CoV-2 passive surveillance and could be applied for case identification and containment, and mitigation in schools and other congregate settings with high risks of transmission. Wastewater monitoring enables public health authorities to develop targeted prevention and education programmes for hygiene measures within undertested communities across a broad range of use cases.

PMID:37252922 | DOI:10.1371/journal.pone.0286259

PLoS One. 2023 May 30;18(5):e0284696. doi: 10.1371/journal.pone.0284696. eCollection 2023.

ABSTRACT

INTRODUCTION: The construction industry in Nepal, which employs a significant proportion of the population, ranks as one of the largest industries in the country. Construction work is physically demanding and can be risky due to the use of heavy machinery and the presence of intense physical labor. However, the physical and mental health of construction workers in Nepal is often neglected. This study aimed to assess psychological distress (depression, anxiety, and stress symptoms) and its association with socio-demographic, lifestyle, and occupational factors among construction workers in Kavre district, Nepal.

METHODS: We conducted a cross-sectional study from 1st October 2019 to 15th January 2020 among 402 construction workers in Banepa, and Panauti municipalities of Kavre district, Nepal. We collected data with face-to-face interviews using a structured questionnaire consisting of a) socio-demographic characteristics; b) lifestyle and occupational characteristics; and c) depression, anxiety and stress symptoms. We collected data using electronic forms in KoboToolbox and imported them into R version 3.6.2 for statistical analysis. We present parametric numerical variables as mean and standard deviation, and categorical variables as percentage and frequency. The confidence interval around proportion was estimated with the Clopper-Pearson method. We applied univariate and multivariable logistic regression to determine factors associated with depression symptoms, anxiety, and stress. The result of logistic regression was presented as crude odds ratio, adjusted odds ratio (AOR), and their 95% confidence interval (CI).

RESULTS: The prevalence of depression, anxiety and stress symptoms were 17.1% (95%CI: 13.6-21.2), 19.2% (95%CI: 15.5-23.4) and 16.4% (95%CI: 12.9-20.4), respectively. In multivariable logistic regression analysis, depression symptom was positively associated with poor sleep quality (AOR = 3.51; 95%CI: 1.5-8.19; p-value: 0.004); stress symptom was positively associated with Brahmin ethnicity (AOR = 3.76; 95%CI:1.34-10.58; p-value: 0.012) and current smoking (AOR = 2.0; 95%CI: 1.11-3.82 p-value: 0.022). But anxiety symptoms were not associated with any of the variables.

CONCLUSIONS: The prevalence of depression, anxiety, and stress symptoms were high among construction workers. Developing evidence-based and appropriate community-based mental health prevention programs among laborers and construction workers is recommended.

PMID:37252920 | DOI:10.1371/journal.pone.0284696

PLOS Glob Public Health. 2023 May 30;3(5):e0001527. doi: 10.1371/journal.pgph.0001527. eCollection 2023.

ABSTRACT

Cryptosporidium and Giardia are major causes of diarrhoea globally, and two of the most notified infectious diseases in New Zealand. Diagnosis requires laboratory confirmation carried out mostly via antigen or microscopy-based techniques. However, these methods are increasingly being superseded by molecular techniques. Here we investigate the level of protozoa detection by molecular methods in campylobacteriosis cases missed through antigen-based assays and investigate different molecular testing protocols. We report findings from two observational studies; the first among 111 people during a Campylobacter outbreak and the second during normal surveillance activities among 158 people presenting with diarrhoea and a positive Campylobacter test, but negative Cryptosporidium and Giardia antigen-based test results. The molecular methods used for comparison were in-house end-point PCR tests targeting the gp60 gene for Cryptosporidium and gdh gene for Giardia. DNA extraction was performed with and without bead-beating and comparisons with commercial real-time quantitative (qPCR) were made using clinical Cryptosporidium positive sample dilutions down to 10-5. The Cryptosporidium prevalence was 9% (95% CI: 3-15; 10/111) and Giardia prevalence 21% (95% CI: 12-29; 23/111) in the 111 Campylobacter outbreak patients. The Cryptosporidium prevalence was 40% (95% CI: 32-48; 62/158) and Giardia prevalence 1.3% (95% CI: 0.2-4.5; 2/158) in the 158 routine surveillance samples. Sequencing identified Cryptosporidium hominis, C. parvum, and Giardia intestinalis assemblages A and B. We found no statistical difference in positive test results between samples using end-point PCR with or without bead-beating prior to DNA extraction, or between the in-house end-point PCR and qPCR. The qPCR Ct value was 36 (95% CI: 35-37) for 1 oocyst, suggesting a high limit of detection. In conclusion in surveillance and outbreak situations we found diagnostic serology testing underdiagnoses Cryptosporidium and Giardia coinfections in Campylobacter patients, suggesting the impact of protozoa infections may be underestimated through underdiagnosis using antigen-based assays.

PMID:37252910 | DOI:10.1371/journal.pgph.0001527

Natl Health Stat Report. 2023 May;(187):1-8.

ABSTRACT

Objective-This report provides a descriptive analysis of a sample of adult patients who visited the emergency department (ED) for nonfatal opioid overdose (NOO), using restricted-use 2016 National Hospital Care Survey data linked to the 2016-2017 National Death Index and the 2016-2017 Drug-Involved Mortality data from the National Center for Health Statistics.

PMID:37252888

JMIR Form Res. 2023 May 30;7:e43603. doi: 10.2196/43603.

ABSTRACT

BACKGROUND: Mobile health (mHealth) interventions for smoking cessation have grown extensively over the last few years. Although these interventions improve cessation rates, studies of these interventions consistently lack sufficient Black smokers; hence knowledge of features that make mHealth interventions attractive to Black smokers is limited. Identifying features of mHealth interventions for smoking cessation preferred by Black smokers is critical to developing an intervention that they are likely to use. This may in turn address smoking cessation challenges and barriers to care, which may reduce smoking-related disparities that currently exist.

OBJECTIVE: This study aims to identify features of mHealth interventions that appeal to Black smokers using an evidence-based app developed by the National Cancer Institute, QuitGuide, as a reference.

METHODS: We recruited Black adult smokers from national web-based research panels with a focus on the Southeastern United States. Participants were asked to download and use QuitGuide for at least a week before participation in remote individual interviews. Participants gave their opinions about features of the QuitGuide app and other mHealth apps they may have used in the past and suggestions for future apps.

RESULTS: Of the 18 participants, 78% (n=14) were women, with age ranging from 32 to 65 years. Themes within five major areas relevant for developing a future mHealth smoking cessation app emerged from the individual interviews: (1) content needs including health and financial benefits of quitting, testimonials from individuals who were successful in quitting, and strategies for quitting; (2) format needs such as images, ability to interact with and respond to elements within the app, and links to other helpful resources; (3) functionality including tracking of smoking behavior and symptoms, provision of tailored feedback and reminders to users, and an app that allows for personalization of functions; (4) social network, such as connecting with friends and family through the app, connecting with other users on social media, and connecting with a smoking cessation coach or therapist; and (5) the need for inclusivity for Black individuals, which may be accomplished through the inclusion of smoking-related information and health statistics specific for Black individuals, the inclusion of testimonials from Black celebrities who successfully quit, and the inclusion of cultural relevance in messages contained in the app.

CONCLUSIONS: Certain features of mHealth interventions for smoking cessation were highly preferred by Black smokers based on their use of a preexisting mHealth app, QuitGuide. Some of these preferences are similar to those already identified by the general population, whereas preferences for increasing the inclusivity of the app are more specific to Black smokers. These findings can serve as the groundwork for a large-scale experiment to evaluate preferences with a larger sample size and can be applied in developing mHealth apps that Black smokers may be more likely to use.

PMID:37252777 | DOI:10.2196/43603

JMIR Public Health Surveill. 2023 May 30;9:e44647. doi: 10.2196/44647.

ABSTRACT

BACKGROUND: Multimorbidity is characterized by the co-occurrence of 2 or more chronic diseases and has been a focus of the health care sector and health policy makers due to its severe adverse effects.

OBJECTIVE: This paper aims to use the latest 2 decades of national health data in Brazil to analyze the effects of demographic factors and predict the impact of various risk factors on multimorbidity.

METHODS: Data analysis methods include descriptive analysis, logistic regression, and nomogram prediction. The study makes use of a set of national cross-sectional data with a sample size of 877,032. The study used data from 1998, 2003, and 2008 from the Brazilian National Household Sample Survey, and from 2013 and 2019 from the Brazilian National Health Survey. We developed a logistic regression model to assess the influence of risk factors on multimorbidity and predict the influence of the key risk factors in the future, based on the prevalence of multimorbidity in Brazil.

RESULTS: Overall, females were 1.7 times more likely to experience multimorbidity than males (odds ratio [OR] 1.72, 95% CI 1.69-1.74). The prevalence of multimorbidity among unemployed individuals was 1.5 times that of employed individuals (OR 1.51, 95% CI 1.49-1.53). Multimorbidity prevalence increased significantly with age. People over 60 years of age were about 20 times more likely to have multiple chronic diseases than those between 18 and 29 years of age (OR 19.6, 95% CI 19.15-20.07). The prevalence of multimorbidity in illiterate individuals was 1.2 times that in literate ones (OR 1.26, 95% CI 1.24-1.28). The subjective well-being of seniors without multimorbidity was 15 times that among people with multimorbidity (OR 15.29, 95% CI 14.97-15.63). Adults with multimorbidity were more than 1.5 times more likely to be hospitalized than those without (OR 1.53, 95% CI 1.50-1.56) and 1.9 times more likely need medical care (OR 1.94, 95% CI 1.91-1.97). These patterns were similar in all 5 cohort studies and remained stable for over 21 years. A nomogram model was used to predict multimorbidity prevalence under the influence of various risk factors. The prediction results were consistent with the effects of logistic regression; older age and poorer participant well-being had the strongest correlation with multimorbidity.

CONCLUSIONS: Our study shows that multimorbidity prevalence varied little in the past 2 decades but varies widely across social groups. Identifying populations with higher rates of multimorbidity prevalence may improve policy making around multimorbidity prevention and management. The Brazilian government can create public health policies targeting these groups, and provide more medical treatment and health services to support and protect the multimorbidity population.

PMID:37252771 | DOI:10.2196/44647

J Adolesc Young Adult Oncol. 2023 May 26. doi: 10.1089/jayao.2023.0014. Online ahead of print.

ABSTRACT

Purpose: Although adolescent and young adult (AYA) cancer patients are digital natives and have high digital communication needs, previous studies of screening tools for AYAs have primarily used paper when measuring patient-reported outcomes (PROs). There are no reports on using an electronic PRO (ePRO) screening tool with AYAs. This study evaluated the feasibility of such a tool in clinical settings, and assessed the prevalence of AYAs’ distress and supportive care needs. Methods: An ePRO tool based on the Distress Thermometer and Problem List (DTPL)-Japanese (DTPL-J) version for AYAs was implemented in a clinical setting for 3 months. To determine the prevalence of distress and need for supportive care, descriptive statistics were calculated for participant characteristics, selected items, and Distress Thermometer (DT) scores. Response rates, referral rates to an attending physician and other experts, and time required to complete PRO tools were assessed to evaluate feasibility. Results: From February to April 2022, 244 (93.8%) of 260 AYAs completed the ePRO tool based on the DTPL-J for AYAs. Based on a DT cutoff of ≥5, 65 of 244 patients (26.6%) had high distress. Worry (n = 81, 33.2%) was the most frequently selected item. Primary nurses referred 85 (32.7%) patients to an attending physician or other experts. The referral rate resulting from ePRO screening was significantly higher than that after PRO screening (χ²(1) = 17.99, p < 0.001). The average response time did not differ significantly between ePRO and PRO screening (p = 0.252). Conclusion: This study suggests the feasibility of an ePRO tool based on the DTPL-J for AYAs.

PMID:37252764 | DOI:10.1089/jayao.2023.0014

J Correct Health Care. 2023 May 26. doi: 10.1089/jchc.22.03.0023. Online ahead of print.

ABSTRACT

The aim of this study was to assess the availability of medications for opioid use disorder (MOUD) and other services for pregnant people in jails in counties heavily impacted by opioid overdose in the United States. Counties were selected based on absolute number and population rate of opioid-overdose fatalities. Structured interviews were completed with representatives from 174 jails that house pregnant women. Descriptive statistics examine MOUD availability and differences in service provision and community-level characteristics based on MOUD availability. Most jails in the study sample (84.5%) had MOUD available for pregnant people; however, less than half of these jails ensured continuity of care. Jails without MOUD available are more likely to provide non-MOUD substance use services. These jails are more often located in smaller, rural counties in the Midwest and have higher rates of White residents and lower rates of Hispanic and African American residents. Gaps in MOUD availability in jails and continuity of care violate medical guidelines for treatment of pregnant patients with opioid use disorder and increase their risk of overdose. In addition, there are disparities across communities in access to MOUD for pregnant people in jails.

PMID:37252747 | DOI:10.1089/jchc.22.03.0023

JAMA Pediatr. 2023 May 30. doi: 10.1001/jamapediatrics.2023.1379. Online ahead of print.

ABSTRACT

IMPORTANCE: Although inequitable care due to racism and bias is well documented in health care, the impact on health care-associated infections is less understood.

OBJECTIVE: To determine whether disparities in first central catheter-associated bloodstream infection (CLABSI) rates existed for pediatric patients of minoritized racial, ethnic, and language groups and to evaluate the outcomes associated with quality improvement initiatives for addressing these disparities.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study retrospectively examined outcomes of 8269 hospitalized patients with central catheters from October 1, 2012, to September 30, 2019, at a freestanding quaternary care children’s hospital. Subsequent quality improvement interventions and follow-up were studied, excluding catheter days occurring after the outcome and episodes with catheters of indeterminate age through September 2022.

EXPOSURES: Patient self-reported (or parent/guardian-reported) race, ethnicity, and language for care as collected for hospital demographic purposes.

MAIN OUTCOMES AND MEASURES: Central catheter-associated bloodstream infection events identified by infection prevention surveillance according to National Healthcare Safety Network criteria were reported as events per 1000 central catheter days. Cox proportional hazards regression was used to analyze patient and central catheter characteristics, and interrupted time series was used to analyze quality improvement outcomes.

RESULTS: Unadjusted infection rates were higher for Black patients (2.8 per 1000 central catheter days) and patients who spoke a language other than English (LOE; 2.1 per 1000 central catheter days) compared with the overall population (1.5 per 1000 central catheter days). Proportional hazard regression included 225 674 catheter days with 316 infections and represented 8269 patients. A total of 282 patients (3.4%) experienced a CLABSI (mean [IQR] age, 1.34 [0.07-8.83] years; female, 122 [43.3%]; male, 160 [56.7%]; English-speaking, 236 [83.7%]; LOE, 46 [16.3%]; American Indian or Alaska Native, 3 [1.1%]; Asian, 14 [5.0%]; Black, 26 [9.2%]; Hispanic, 61 [21.6%]; Native Hawaiian or Other Pacific Islander, 4 [1.4%]; White, 139 [49.3%]; ≥2 races, 14 [5.0%]; unknown race and ethnicity or refused to answer, 15 [5.3%]). In the adjusted model, a higher hazard ratio (HR) was observed for Black patients (adjusted HR, 1.8; 95% CI, 1.2-2.6; P = .002) and patients who spoke an LOE (adjusted HR, 1.6; 95% CI, 1.1-2.3; P = .01). Following quality improvement interventions, infection rates in both subgroups showed statistically significant level changes (Black patients: -1.77; 95% CI, -3.39 to -0.15; patients speaking an LOE: -1.25; 95% CI, -2.23 to -0.27).

CONCLUSIONS AND RELEVANCE: The study’s findings show disparities in CLABSI rates for Black patients and patients who speak an LOE that persisted after adjusting for known risk factors, suggesting that systemic racism and bias may play a role in inequitable hospital care for hospital-acquired infections. Stratifying outcomes to assess for disparities prior to quality improvement efforts may inform targeted interventions to improve equity.

PMID:37252746 | DOI:10.1001/jamapediatrics.2023.1379

Health Promot J Austr. 2023 May 30. doi: 10.1002/hpja.753. Online ahead of print.

ABSTRACT

ISSUE ADDRESSED: Pakistani migrants are one of the fastest-growing culturally and linguistically diverse (CALD) communities in Australia, but there is currently a lack of information regarding their health literacy. This study aimed to investigate the health literacy of Pakistani migrants residing in Australia.

METHODS: Using a cross-sectional study design, health literacy was measured using the Urdu version of Health Literacy Questionnaire (HLQ). Descriptive statistics and linear regression were used to describe the health literacy profile of respondents and to examine its association with their demographic characteristics.

RESULTS: The responses of 202 Pakistani migrants were included. The median age of the respondents was 36 years, 61.8% were males and 87.6% had a university education. The majority spoke Urdu at home and almost 80% were Australian permanent residents or citizens. Pakistani respondents scored high on HLQ domains; feeling understood by health providers (Scale 1), social support for health care (Scales 4), engaging with health care providers (Scale 6) and understanding health information (Scale 9). The respondents scored low on HLQ domains; having sufficient information (Scale 2), actively managing health (Scale 3), appraisal of health information (Scale 5), navigating the health care system (Scale 7) and ability to find information (Scale 8). In the regression model, university education and age were significantly associated with health literacy in almost all the domains, but the effect size was small for age. Speaking English at home and being a permanent resident were also associated with better health literacy in two to three HLQ domains.

CONCLUSIONS: Health literacy strengths and weaknesses of Pakistani migrants residing in Australia were identified. Health care providers and organisations may use these findings to tailor health information and services to better support health literacy in this community. SO WHAT?: This study will inform future interventions to better support health literacy and reduce health disparities in Pakistani migrants residing in Australia.

PMID:37252730 | DOI:10.1002/hpja.753