Public Health Settings Research Articles

P100 Acceptance, Compliance and Efficacy of Oral Appliance Therapy by Patients Suffering from Sleep Apnoea.

Abstract Background Obstructive Sleep Apnoea (OSA) represents an established risk factor for several medical conditions. The evidence demonstrates that OSA can be effectively treated by an oral appliance. However, there less information about the role of an oral appliance in a clinical care model in terms of uptake and efficacy. This study aimed at examining the efficacy of an intervention in dental public health settings in Melbourne, Australia. Methods Data were collected from the 2018-2021. Participants who fitted inclusions criteria completed two instruments. The Epworth Sleepiness Score (ESS) was used to assess the Subjective daytime sleepiness, and the Apnoea Hypopnea Index (AHI) objectively evaluated the severity of OSA. Participants were further asked to self-report felt improvements post intervention. Paired t-tests were used to compare pre-test and the post-test results. Results 34 participants had complete before and after data recorded. The mean age of the final samples of 66.4 (s.d., 14.2), the majority were female (67.7%). Participants unanimously acknowledged improvements after the intervention. Findings also indicated that after the intervention, participants had significantly lower EES scores compared to their baseline scores (6.9 vs 12.7; p<0.001). Regarding the AHI, at post-test, participants had significantly lower AHI scores compared to their baseline scores (13.8 vs. 19.2; p<0.001). Conclusions Present results indicate the use of oral appliance will ultimately benefit public patients who suffer from OSA. After the intervention, there were both objective and subjective improvements in OSA. Thus, findings provide valuable inputs and guidance for the design and implementation for larger efficacy trial.

Lessons learned from the experiences and perspectives of frontline healthcare workers on the COVID-19 response: a qualitative descriptive study

BackgroundDuring the COVID-19 pandemic, healthcare systems and healthcare workers (HCWs) faced significant demands and unique challenges. In this qualitative study, we explore the effects of the COVID-19 public health policies on British Columbia’s frontline HCWs, describe what worked in the management of the pandemic, and elucidate the lessons learned that could be applied to future pandemic preparedness, recovery and response.MethodsThis qualitative descriptive study is part of a larger, national multi-case study on pandemic policy communication and uptake. Semi-structured interviews were conducted from November 2020- June 2021 with fourteen HCWs working in long-term care (LTC), acute care and public health settings. Data were inductively coded, and analyzed following a resilience framework for public health emergency preparedness, which emphasizes the essential elements of a public health system, vital to all phases of health emergency management, readiness, response and recovery.ResultsHCWs experienced confusion, frustration, uncertainty, anxiety, fatigue and stress, during the pandemic and detailed challenges that affected policy implementation. This included communication and coordination inconsistencies between the province and regional health authorities; lack of involvement of frontline staff in pandemic planning; inadequate training and support; inadequate personal protective equipment resource capacity and mobilization; and staffing shortages. HCWs recommended increased collaboration between frontline staff and policy makers, investment in preparing and practicing pandemic plans, and the need for training in emergency management and infection prevention and control.ConclusionsPandemic planning, response and recovery should include inputs from actors/key stakeholders at the provincial, regional and local levels, to facilitate better coordination, communication and outcomes. Also, given the critical roles of frontline HCWs in policy implementation, they should be adequately supported and consideration must be given to how they interpret and act on policies. Bi-directional communication channels should be incorporated between policymakers and frontline HCWs to verify the appropriate adoption of policies, reflective learning, and to ensure policy limitations are being communicated and acted upon by policy makers.

Applying the Urgent Maternal Warning Signs Initiative in a Novel Setting.

Symptoms of urgent maternal warning signs (UMWS) may occur during pregnancy or after delivery and may have lasting effects or indicate a life-threatening situation if left untreated. The state department of health sponsored a quality improvement project (QIP) to broaden the reach of UMWS education beyond traditional clinical settings, to public health settings where prenatal and postpartum women are seen. Specifically, the QIP implemented process changes to provide education (written and verbal) and resources to individuals receiving services from Women, Infants, and Children clinics during pregnancy and up to 12 weeks postpartum. Clinics submitted participant-level data although the Research Electronic Data Capture secure data portal. The key results indicated an increase in both written and verbal education. In addition, the project monitored referrals made specific to conditions identified through project-specific data collection and the provision of UMWS education.

Improving Anemia Assessment in Clinical and Public Health Settings

We aim to provide a practical approach to assess anemia and its primary causes, both in clinical settings and in the context of public health programs. Anemia remains a global challenge; thus, to achieve goals for anemia reduction and assess progress, standardized approaches are required for the assessment of anemia and its causes. We first provide a brief review of how to assess anemia, based on hemoglobin concentrations and cutoffs that correspond to age, sex, and physiologic status. Next, we discuss how to assess the likely causes of anemia in different settings. The causes of anemia are classified as non-nutritional (for example, because of infection, inflammation, blood loss, or genetic disorders) or nutrition-specific (for example, because of deficiencies of iron, vitamin A, riboflavin, vitamin B12, or folate). There is an important overlap between these 2 categories, such as the increased likelihood of iron deficiency in the context of inflammation. Given the multifaceted nature of anemia etiology, we introduce a framework for anemia assessment based on the “ecology of anemia,” which recognizes its many overlapping causes. This conceptual framework is meant to inform what data on anemia causes may need to be collected in population surveys. The framework has a supporting table with information on the diagnostic tests, biomarkers and proposed cutoffs, characteristics, and feasibility of collecting the myriad information that can help elucidate the anemia etiology. We also provide examples of how this framework can be applied to interpret the anemia risk factor data from population-based surveys that can inform decisions about context-specific interventions. Finally, we present research gaps and priorities related to anemia assessment.

Public mental health and wellbeing interventions delivered by allied health professionals (AHPs): mapping the evidence and identification of gaps. A systematic review

PurposeMental well-being is associated with positive outcomes throughout the life course. This study aims to examine interventions delivered by allied health professionals (AHPs) to alleviate community stressors adversely impacting public mental health and well-being.Design/methodology/approachReview inclusion criteria comprised experimental and qualitative process evaluations of public mental health interventions delivered by AHPs. Electronic searches in Cinahl, Embase, Medline, PsycINFO and the Cochrane Library, were combined with grey literature searches of National Institute for Health and Care Excellence public health guidance. A narrative synthesis and the Effective Public Health Practice Project appraisal tool were used to evaluate the evidence.FindingsA total of 45-articles were included in the review describing AHP-delivered interventions addressing social disadvantage, trauma, bullying, loneliness, work-related stress, transitional stress, intersectionality, pain and bereavement. No articles were identified evaluating interventions delivered by operating department practitioners or orthoptists. A conceptual map was developed summarising the stressors, and a typology of public mental health interventions defined including: place-based interventions, discrete/one-off interventions, multi-component lifestyle and social connector interventions and interventions targeting groups at risk of mental health conditions.Research limitations/implicationsMany mental health conditions begin in childhood, and a strength of the review is the life course perspective. A further strength is compiling a compendium of public mental health outcome measures used by AHPs to inform future research. The authors excluded many articles focussed on clinical interventions/populations, which did not meet review inclusion criteria. While playing a key role in delivering public mental health interventions, clinical psychologists are not defined as AHPs and were excluded from the review, and this may be construed a limitation. Given heterogeneity of study designs and interventions evaluated numerical analyses of pooled findings was not appropriate.Practical implicationsThe review highlights the breadth of community stressors on which AHPs can intervene and contribute in public mental health contexts, stressors which correspond to those identified in UK Government guidance as currently important and relevant to address. The findings can inform developing community public mental health pathways that align with the UK National Health Service (NHS) Long Term Plan, on prevention and early intervention to protect community mental health and well-being. Further can inform the NHS strategic direction for AHPs including informing ways of increasing utilisation of core AHP skills to optimise contributions in public mental health agendas.Social implicationsIt is surprising there were not more AHP delivered evaluations of interventions for other stressors important to address in public mental health settings, for example gambling, domestic violence or that used digital technology, and these are areas for future research. Future research should identify the most active/effective dimensions of multi-component interventions which could be informed by frameworks to guide complex intervention development. The relative paucity of research identified, highlights the predominant focus of research to date on interventions for clinical mental health conditions and populations. The lack of preventative approaches is evident, and an important area for future research to align with UK health and social care priorities.Originality/valueThe review highlights AHP-delivered interventions impacting diverse community stressors across the life course. The findings can inform developing public mental health pathways aligned with government health service priorities to protect mental health and well-being, prioritise prevention and early intervention and increase utilisation of AHP skills across public mental health settings.

The iPRISM webtool: an interactive tool to pragmatically guide the iterative use of the Practical, Robust Implementation and Sustainability Model in public health and clinical settings

BackgroundTo increase uptake of implementation science (IS) methods by researchers and implementers, many have called for ways to make it more accessible and intuitive. The purpose of this paper is to describe the iPRISM webtool (Iterative, Practical, Robust Implementation and Sustainability Model) and how this interactive tool operationalizes PRISM to assess and guide a program’s (a) alignment with context, (b) progress on pragmatic outcomes, (c) potential adaptations, and (d) future sustainability across the stages of the implementation lifecycle.MethodsWe used an iterative human-centered design process to develop the iPRISM webtool.ResultsWe conducted user-testing with 28 potential individual and team-based users who were English and Spanish speaking from diverse settings in various stages of implementing different types of programs. Users provided input on all aspects of the webtool including its purpose, content, assessment items, visual feedback displays, navigation, and potential application. Participants generally expressed interest in using the webtool and high likelihood of recommending it to others. The iPRISM webtool guides English and Spanish-speaking users through the process of iteratively applying PRISM across the lifecycle of a program to facilitate systematic assessment and alignment with context. The webtool summarizes assessment responses in graphical and tabular displays and then guides users to develop feasible and impactful adaptations and corresponding action plans. Equity considerations are integrated throughout.ConclusionsThe iPRISM webtool can intuitively guide individuals and teams from diverse settings through the process of using IS methods to iteratively assess and adapt different types of programs to align with the context across the implementation lifecycle. Future research and application will continue to develop and evaluate this IS resource.

Unravelling the web of tuberculosis: Mathematical models to decode and defeat tuberculosis transmission complexity

In the transmission of infectious illnesses like tuberculosis, mathematical models are crucial in public health. The fundamental paradigm is compartmental modelling, which classifies people into categories such as susceptible, latent, active, and recovered. Extensions and variations in this model can be utilized to capture intricate details. To research TB transmission dynamics, structural models including age-structured, agent-based, stochastic, SEIR, spatial, drug-resistant, vaccination, contact tracking, and treatment models are employed. Populations are divided into age groups by age-structured models, intricate interactions are shown by agent-based models, disease outbreaks are simulated by stochastic models, social networks are considered by SEIR models, and treatment success rates are considered by treatment models. Real-world mathematical simulations of TB transmission in public health settings offer useful tools for comprehending TB dynamics, making decisions, allocating resources, and assisting in the reduction and eradication of tuberculosis.

Hepatitis C Cascades: Data to Inform Hepatitis C Elimination in the United States.

The United States has a goal to eliminate hepatitis C as a public health threat by 2030. To accomplish this goal, hepatitis C virus (HCV) care cascades (hereinafter, HCV cascades) can be used to measure progress toward HCV elimination and identify disparities in HCV testing and care. In this topical review of HCV cascades, we describe common definitions of cascade steps, review the application of HCV cascades in health care and public health settings, and discuss the strengths and limitations of data sources used. We use examples from the Massachusetts Department of Public Health as a case study to illustrate how multiple data sources can be leveraged to produce HCV cascades for public health purposes. HCV cascades in health care settings provide actionable data to improve health care quality and delivery of services in a single health system. In public health settings at jurisdictional and national levels, HCV cascades describe HCV diagnosis and treatment for populations, which can be challenging in the absence of a single data source containing complete, comprehensive, and timely data representing all steps of a cascade. Use of multiple data sources and strategies to improve interoperability of health care and public health data systems can advance the use of HCV cascades and speed progress toward HCV elimination.

Impacts of public health and social measures on COVID-19 in Europe: a review and modified Delphi technique.

The emergence of the COVID-19 pandemic in early 2020 led countries to implement a set of public health and social measures (PHSMs) attempting to contain the spread of the SARS-CoV-2 virus. This study aims to review the existing literature regarding key results of the PHSMs that were implemented, and to identify the PHSMs considered to have most impacted the epidemiological curve of COVID-19 over the last years during different stages of the pandemic. The PHSM under study were selected from the Oxford COVID-19 Government Response Tracker (OxCGRT), supplemented by topics presented during the Rapid Exchange Forum (REF) meetings in the scope of the Population Health Information Research Infrastructure (PHIRI) project (H2020). The evidence- based review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines to identify which reviews have already been published about each PHSMs and their results. In addition, two modified Delphi panel surveys were conducted among subject matter experts from 30 European countries to uphold the results found. There were 3,212 studies retrieved from PubMed, 162 full texts assessed for eligibility and 35 included in this PHSMs summary. The measures with clearest evidence on their positive impact from the evidence-based review include social distancing, hygiene measures, mask measures and testing policies. From the modified Delphi panel, the PHSMs considered most significant in the four periods analyzed were case isolation at home, face coverings, testing policy, and social distancing, respectively. The evidence found has significant implications for both researchers and policymakers. The study of PHSMs' impact on COVID-19 illustrates lessons learned for future pan- and epidemics, serving as a contribution to the health systems resilience discussion. These lessons, drawn from both the available scientific evidence and the perspectives of relevant subject matter experts, should also be considered in educational and preparedness programs and activities in the public health space.

Task-Shifting: Can Community Health Workers Be Part of the Solution to an Inactive Nation?

Background: In low-to-middle income countries (LMICs), there is a growing burden of non-communicable diseases (NCDs) placing strain on the facilities and human resources of healthcare systems. Prevention strategies that include lifestyle behavior counseling have become increasingly important. We propose a potential solution to the growing burden of NCDs through an expansion of the role for community health workers (CHWs) in prescribing and promoting physical activity in public health settings. This discussion paper provides a theoretical model for task-shifting of assessment, screening, counseling, and prescription of physical activity to CHWs. Five proposed tasks are presented within a larger model of service delivery and provide a platform for a structured, standardized, physical activity prevention strategy aimed at NCDs using CHWs as an integral part of reducing the burden of NCDs in LMICs. However, for effective implementation as part of national NCD plans, it is essential that CHWs received standardized, ongoing training and supervision on physical activity and other lifestyle behaviors to optimally impact community health in low resource settings.

HIV Viral Load Testing in the South African Public Health Setting in the Context of Evolving ART Guidelines and Advances in Technology, 2013-2022.

HIV viral load (VL) testing plays a key role in the clinical management of HIV as a marker of adherence and antiretroviral efficacy. To date, national and international antiretroviral treatment recommendations have evolved to endorse routine VL testing. South Africa (SA) has recommended routine VL testing since 2004. Progressively, the centralised HIV VL program managed by its National Health Laboratory Service (NHLS) has undergone expansive growth. Retrospective de-identified VL data from 2013 to 2022 were evaluated to review program performance. Test volumes increased from 1,961,720 performed in 2013 to 45,334,864 in 2022. The median total in-laboratory turnaround time (TAT) ranged from 94 h (2015) to 51 h (2022). Implementation of two new assays improved median TATs in all laboratories. Samples of VL greater than 1000 copies/mL declined steadily. Despite initial increases, samples of fewer than 50 copies/mL stagnated at about 70% from 2019 and declined to 68% in 2022. Some variations between assays were observed. Overall, the SA VL program is successful. The scale of the VL program, the largest of its kind in the world by some margin, provides lessons for future public health programs dependent on laboratories for patient outcome and program performance monitoring.

Critical consciousness of public health nurses: A descriptive, comparative survey.

Public Health Nurses (PHN) caring for vulnerable populations amid systemic inequality must navigate complex situations, and consequently they may experience serious moral distress known to be detrimental to PHN wellbeing. Given PHN awareness of social inequities, the study aimed to determine if PHNs were motivated to enact social change and engage in social and political action to address inequality. A survey of 173 PHNs was conducted in fall 2022. The convenience sample was mainly female (96.5%), White (85%), had associate/bachelor's degrees (71.7%), and worked in governmental public health settings (70.7%). The study employed the Short Critical Consciousness Scales' subscales: Critical Reflection, Critical Motivation, and Critical Action. PHNs were highly motivated to address inequities (Critical Motivation=20.83; SD=3.16), with similarly high awareness (Critical Reflection=17.89; SD=5.18). However, social and political action scores were much lower (Critical Action=7.13; SD=2.63). A subgroup of PHNs with strong agreement regarding the impact of poverty were more likely to be younger (p=.039) and work in a community setting (p=.003); with higher scores across subscales (p<.001). High critical reflection and motivation among PHNs aligned with literature. Lower Critical Action scores warrant investigation into validity for PHNs, and possible role constraints.

Waist-to-height ratio associated cardiometabolic risk phenotype in children with overweight/obesity

BackgroundChildhood overweight/obesity has been associated with an elevated risk of insulin resistance and cardiometabolic disorders. Waist-to-height ratio (WHtR) may be a simple screening tool to quickly identify children at elevated risk for cardiometabolic disorders. The primary objective of the present study was to create sex-specific tertile cut points of WHtR and assess its association with Insulin resistance and elevated liver enzyme concentrations in children, factors using cross-sectional data from the randomized, controlled Family Weight Management Study.MethodsBaseline data from 360 children (7–12 years, mean Body Mass Index (BMI) ≥ 85th percentile for age and sex) were used to calculate WHtR tertiles by sex, male: ≤ 0.55 (T1), > 0.55- ≤ 0.59 (T2), > 0.59 (T3); female: ≤ 0.56 (T1), > 0.56- ≤ 0.6 (T2), > 0.6 (T3). The Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) was used to categorize participants as insulin-resistant (HOMA-IR ≥ 2.6) and insulin-sensitive (HOMA-IR < 2.6). Liver enzymes aspartate aminotransferase (AST) and alanine aminotransferase (ALT) were categorized as normal vs. elevated (AST of < 36.0 µkat/L or ≥ 36.0 µkat/L; ALT of < 30.0 µkat/L or ≥ 30.0 µkat/L; ALT > 26 µkat/L males, > 22 µkat/L females). We examined differences in baseline cardiometabolic risk factors by WHtR tertiles and sex-specific multivariable logistic regression models to predict HOMA-IR and elevation of liver enzymes.ResultsStudy participants had a mean WHtR of 0.59 ([SD: 0.06]). Irrespective of sex, children in WHtR T3 had higher BMIz scores, blood pressure, triglycerides, 2-h glucose, fasting 2-h insulin, and lower high-density lipoprotein cholesterol (HDL-C) concentrations than those in T2 and T1. After adjusting for covariates, the odds of elevated HOMA-IR (> 2.6) were over five-fold higher among males in T3 versus T1 [OR, 95%CI: 5.83, 2.34–14.52] and T2 [OR, 95%CI: 4.81, 1.94–11.92] and females in T3 [OR, 95%CI: 5.06, 2.10–12.20] versus T1. The odds of elevated ALT values (≥ 30) were 2.9 [95%CI: 1.01–8.41] fold higher among females in T3 compared to T1.ConclusionIn public health settings, WHtR may be a practical screening tool in pediatric populations to identify children at risk of metabolic syndrome.

'We just need to find space for them to practice so that we can help to make a stronger society': Perceived barriers and facilitators to employing health psychologists in UK public health and clinical health settings.

In recent years, health psychology has received significant attention within the health sector, due to its application to understanding influences on health and well-being and translation of health psychology into interventions to support behaviour change. The number of health psychologists in public health and healthcare settings is growing but remains limited, and is it unclear why. This study aimed to explore the views of potential and current employers of health psychologists, to elucidate barriers and facilitators of employing health psychologists in healthcare settings. Semi-structured interviews were carried out to explore the experiences of working with and/or employing health psychologists. Opportunities and barriers were explored for increasing access to health psychology expertise in the NHS and public health. Interviews were analysed using inductive thematic analysis. Fifteen participants took part in interviews. Participants were mid-senior-level professionals working in varied healthcare settings and/or academic institutions. The majority had experience of health psychology/working with health psychologists, whilst others had limited experience but an interest in employing health psychologists. Three key themes were identified: (1) the organizational fit of health psychologists, (2) perception of competition for roles and (3) ideas for changing hearts, minds and processes. Barriers exist to employing health psychologists in healthcare settings. These barriers include misunderstandings of the role of health psychologists and the need to preserve other disciplines due to perceived competition. Recommendations for change included showcasing the benefits and skills of health psychologists and having transparent conversations with employees and multi-disciplinary colleagues about roles.

Metagenomic Surveillance of Viral Gastroenteritis in a Public Health Setting.

Norovirus is the primary cause of viral gastroenteritis (GE). To investigate norovirus epidemiology, there is a need for whole-genome sequencing and reference sets consisting of complete genomes. To investigate the potential of shotgun metagenomic sequencing on the Illumina platform for whole-genome sequencing, 71 reverse transcriptase quantitative PCR (RT-qPCR) norovirus positive-feces (threshold cycle [CT], <30) samples from norovirus surveillance within The Netherlands were subjected to metagenomic sequencing. Data were analyzed through an in-house next-generation sequencing (NGS) analysis workflow. Additionally, we assessed the potential of metagenomic sequencing for the surveillance of off-target viruses that are of importance for public health, e.g., sapovirus, rotavirus A, enterovirus, parechovirus, aichivirus, adenovirus, and bocaparvovirus. A total of 60 complete and 10 partial norovirus genomes were generated, representing 7 genogroup I capsid genotypes and 12 genogroup II capsid genotypes. In addition to the norovirus genomes, the metagenomic approach yielded partial or complete genomes of other viruses for 39% of samples from children and 6.7% of samples from adults, including adenovirus 41 (N = 1); aichivirus 1 (N = 1); coxsackievirus A2 (N = 2), A4 (N = 2), A5 (N = 1), and A16 (N = 1); bocaparvovirus 1 (N = 1) and 3 (N = 1); human parechovirus 1 (N = 2) and 3 (N = 1); Rotavirus A (N = 1); and a sapovirus GI.7 (N = 1). The sapovirus GI.7 was initially not detected through RT-qPCR and warranted an update of the primer and probe set. Metagenomic sequencing on the Illumina platform robustly determines complete norovirus genomes and may be used to broaden gastroenteritis surveillance by capturing off-target enteric viruses. IMPORTANCE Viral gastroenteritis results in significant morbidity and mortality in vulnerable individuals and is primarily caused by norovirus. To investigate norovirus epidemiology, there is a need for whole-genome sequencing and reference sets consisting of full genomes. Using surveillance samples sent to the Dutch National Institute for Public Health and the Environment (RIVM), we compared metagenomics against conventional techniques, such as RT-qPCR and Sanger-sequencing, with norovirus as the target pathogen. We determined that metagenomics is a robust method to generate complete norovirus genomes, in parallel to many off-target pathogenic enteric virus genomes, thereby broadening our surveillance efforts. Moreover, we detected a sapovirus that was not detected by our validated gastroenteritis RT-qPCR panel, which exemplifies the strength of metagenomics. Our study shows that metagenomics can be used for public health gastroenteritis surveillance, the generation of reference-sets for molecular epidemiology, and how it compares to current surveillance strategies.

Factors Related to Burnout Among Perinatal Home Visiting Nurses.

Risks for burnout among nurses have been understudied in public and community health settings. This qualitative descriptive study aimed to describe the experiences of nurses working in a perinatal community health program for high-risk families with a focus on challenges and risks for burnout. We conducted field observation and semistructured individual interviews in 2019 with nurses at 2 sites implementing Prenatal Care Coordination (PNCC), a Medicaid benefit for high-risk pregnant people and infants in Wisconsin. A larger parent study assessed the implementation of PNCC overall through a thematic analysis process. Initial deductive coding was guided by the Consolidated Framework for Implementation Research. Emergent themes demonstrated that PNCC nurses face several significant barriers and known risks for burnout, including role strain related to scope of practice and training, discordant racial and socioeconomic identities leading to role conflict, and low control combined with high psychological demand. Given that the COVID-19 pandemic has exacerbated burnout risk among nurses in hospital settings, and that nurses addressing social determinants of health may be at increased risk for burnout, these findings represent a critical perspective on the experiences and needs of perinatal nurses in public and community health settings.

Examining the Impact of Interprofessional Education for Implementation of Developmental Monitoring: Taking a Public Health Approach

Abstract Date Presented 04/22/2023 OT and physical therapy students were paired to complete developmental monitoring and screening in a public health setting. Using a validated survey tool for a pretest–posttest, results showed significant improvements in perceived clinical competency. Primary Author and Speaker: Kate Barlow Contributing Authors: MaryAnn Kniska, Anna Carpenter, Sandra Sego

Health risk communication and infodemic management in Iran: development and validation of a conceptual framework

ObjectiveThe COVID-19 pandemic exposed significant gaps in Iran’s and other health systems’ risk communication. The accompanying infodemic undermined policy responses, amplified distrust in government and reduced adherence to public health...

Factors Influencing Turnover and Attrition in the Public Behavioral Health System Workforce: Qualitative Study.

Many states are experiencing a behavioral health workforce crisis, particularly in the public behavioral health system. An understanding of the factors influencing the workforce shortage is critical for informing public policies to improve workforce retention and access to care. The aim of this study was to assess factors contributing to behavioral health workforce turnover and attrition in Oregon. Semistructured qualitative interviews were conducted with 24 behavioral health providers, administrators, and policy experts with knowledge of Oregon's public behavioral health system. Interviews were transcribed and iteratively coded to reach consensus on emerging themes. Five key themes emerged that negatively affected the interviewees' workplace experience and longevity: low wages, documentation burden, poor physical and administrative infrastructure, lack of career development opportunities, and a chronically traumatic work environment. Large caseloads and patients' high symptom acuity contributed to worker stress. At the organizational and system levels, chronic underfunding and poor administrative infrastructure made frontline providers feel undervalued and unfulfilled, pushing them to leave the public behavioral health setting or behavioral health altogether. Behavioral health providers are negatively affected by systemic underinvestment. Policies to improve workforce shortages should target the effects of inadequate financial and workplace support on the daily work environment.

Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity

Early detection of highly infectious respiratory diseases, such as COVID-19, can help curb their transmission. Consequently, there is demand for easy-to-use population-based screening tools, such as mobile health applications. Here, we describe a proof-of-concept development of a machine learning classifier for the prediction of a symptomatic respiratory disease, such as COVID-19, using smartphone-collected vital sign measurements. The Fenland App study followed 2199 UK participants that provided measurements of blood oxygen saturation, body temperature, and resting heart rate. Total of 77 positive and 6339 negative SARS-CoV-2 PCR tests were recorded. An optimal classifier to identify these positive cases was selected using an automated hyperparameter optimisation. The optimised model achieved an ROC AUC of 0.695 ± 0.045. The data collection window for determining each participant’s vital sign baseline was increased from 4 to 8 or 12 weeks with no significant difference in model performance (F(2) = 0.80, p = 0.472). We demonstrate that 4 weeks of intermittently collected vital sign measurements could be used to predict SARS-CoV-2 PCR positivity, with applicability to other diseases causing similar vital sign changes. This is the first example of an accessible, smartphone-based remote monitoring tool deployable in a public health setting to screen for potential infections.