Population Health System Research Articles

Awareness, Adjustment, Assistance, Alignment, and Advocacy: Operationalizing Social Determinants of Health Topics in Undergraduate Medical Education Curricula.

Social and economic factors, such as those related to food, housing, and transportation, are major drivers of health and health inequities. Multiple national professional organizations have articulated roles for physicians in identifying and addressing social determinants of health (SDOH) and the need to include SDOH in all stages of physician education. Despite encouragement from these professional organizations, medical schools still do not routinely offer SDOH education alongside basic and clinical sciences curricula. A recent national expert consensus process identified priority SDOH knowledge domains and professional skills for medical students but lacked an organizing schema and specific pedagogical examples to help translate prioritized skills into routine pedagogical practice. One such schema is the 5As framework developed by the National Academies of Sciences, Engineering, and Medicine, which elaborates on 5 strategies to strengthen social care: awareness, adjustment, assistance, alignment, and advocacy. In this article, the authors highlight and provide examples of how mapping SDOH skills to the 5As framework can help educators meaningfully operationalize SDOH topics into specific curricular activities during the preclinical and clinical stages of undergraduate medical education. As a foundational first step in this direction, medical schools should conduct an internal curricular review of social care content (ideally mapped to the 5As framework) and identify opportunities to integrate these topics into existing courses when relevant (e.g., in social medicine, population health, and health systems science courses). Given that health and social care integration is highly context dependent, each medical school will likely need to tailor curricular changes based on their own institutional needs, mission, patient populations, and ties to the community. To increase interinstitutional alignment, medical schools might consider using or adapting peer-reviewed materials and assessments curated and centralized by the National Collaborative for Education to Address the Social Determinants of Health.

Staffing, resource base of the healthcare system and population health in the Arkhangelsk region

The main purpose of the health care system is to maintain and improve the health of the population. Staffing is the main resource of the health care system, which allows to achieve the set goals and objectives. In this regard, it is of interest to identify the links between the human and resource capacity of health care and the level of population health, which can indicate the rationality of implementation of health-preserving technologies.Aim: To establish a link between the levels of resource and staff potential of the health care system and population health in the Arkhangelsk region over the period 2010–2020.Material and Methods. Population health indicators (incidence, life expectancy at birth, total fertility rate, infant mortality, maternal mortality) and health system indicators (availability of doctors, beds, capacity of outpatient clinics, number of nurses) were used as the material. Autocorrelation functions, cross-correlation functions, autoregressive integrated moving average were used to identify relationships.Results. Resource and staffing indicators have no significant correlation with population health levels in the Arkhangelsk region over the period 2010-2020.Conclusion. Our study found no significant links between indicators of the resource and staff capacity of the health care system and population health in the Arkhangelsk Region over the period 2010–2020, which may be due to the qualitative and quantitative characteristics of the data used.

Utilization of Postnatal Care Services and Associated Socio-Demographic Factors among Mothers in Sheikhupura

The general state of a population's health system can be seen in the maternal morbidity and mortality rates. Despite the obvious benefits of postnatal healthcare services literature reveal that these services are frequently underused, especially in underdeveloped countries such as Pakistan. Objective: To identify the family traits that were thought to be the biggest factor of using the available postnatal health care services. Methods: According to the nature of the study quantitative research method was used. 323 females who were not currently pregnant but had given birth to one or more children selected in the sample of the present study. Final sample was chosen using a multistage sampling technique. Binomial logistic regression analysis was performed to examine the association between family traits and the use of postnatal healthcare services. Results: Results showed that 76.5% of respondents had their postpartum hemorrhage evaluated. The majority of participants (83.6%) and those who took contraceptives after giving birth (83.1%) got breastfeeding support. Results of the current study showed that the number of postnatal care visits was significantly correlated with the husband's age, education, and family's monthly income. Postnatal care was also connected to the husband's age, education, and family income levels. Conclusions: According to the study's conclusions, education should be targeted towards enhancing the significance of postnatal care services. To address the issue of health care service utilization, policy level actions are required to maximize the ratio of the utilization of postnatal care services.

Influencing Factors to mHealth Uptake With Indigenous Populations: Qualitative Systematic Review.

The advancements and abundance of mobile phones and portable health devices have created an opportunity to use mobile health (mHealth) for population health systems. There is increasing evidence for the feasibility and acceptance of mHealth with Indigenous populations. Providing a synthesis of qualitative findings of mHealth with Indigenous populations will gain insights into the strengths and challenges to mHealth use in Indigenous populations. This review aimed to identify and synthesize qualitative data pertaining to the experiences and perceptions of mHealth from the perspectives of end users (patients and service providers) living in the colonial settler democracies of Canada, Australia, New Zealand, the United States, the Pacific Islands, and the Sápmi region of northern Europe. In May 2021, systematic searches of peer-reviewed, scientific papers were conducted across the 5 databases of PubMed, CINAHL, Embase, PsycINFO, and Web of Science. Qualitative or mixed method studies were included where a mHealth intervention was the primary focus for responding to health challenges with Indigenous populations. Two authors independently screened papers for eligibility and assessed the risk of bias using a modified version of the Critical Appraisal Skills Programme. A meta-aggregative approach was used to analyze the findings of included studies. Seventeen papers met the eligibility criteria, 8 studies with patients, 7 studies with service providers, and 2 studies that included both patients and service providers. Studies were conducted in Australia (n=10), Canada (n=2), New Zealand (n=2), Papua New Guinea (n=1), the United States (n=1), and Samoa (n=1). Our interpretation of these qualitative findings shows commonalities between Indigenous patients' and service providers' perceptions of mHealth. We summarize our findings in six themes: (1) mHealth literacy, (2) mHealth as a facilitator for connection and support, (3) mHealth content needed to be culturally relevant, (4) mHealth security and confidentiality, (5) mHealth supporting rather than replacing service providers, and (6) workplace and organizational capacity. This research suggests that mHealth can meet the needs of both patients and service providers when the mHealth intervention is culturally relevant, accounts for digital and health literacy, incorporates interactive components, is supported by workplaces, fits into health provider workflows, and meets security and confidentiality standards. Future mHealth research with Indigenous populations should partner with key representatives (eg, patients, service providers, and executive leaders) in the mHealth design appropriate to the purpose, people, setting, and delivery.

Seroprevalence and trends of hepatitis B virus, hepatitis C virus and human immunodeficiency virus in Syrian blood donors at Damascus University Blood Center between 2004 and 2021.

Seroprevalence of transfusion-transmitted viral infections (TTVIs) is a valuable indicator for assessing blood safety, population health and health system performance in the times of peace and conflicts. Only scarce information is available on the impact of the decade-long violent conflict on the prevalence of TTVIs in Syria. Moreover, hepatitis B vaccine was introduced to the national vaccination program in 1993; however, no data is available on the vaccine effectiveness. In this retrospective cross-sectional study, we compiled the screening results for major TTVIs, namely hepatitis B virus (HBV), hepatitis C virus (HCV), and human immuno-deficiency virus (HIV), of volunteer donors at Damascus University Blood Center from May 2004 to October 2021. Prevalence was expressed in percentages for the entire study group and subgroups. Chi-square test and linear regression were used to examine the differences and describe trends in prevalence, respectively, based on demographic characteristics (i.e., age and gender) and time. P-value of <0.005 was considered statistically significant. Of the total 307,774 donors (82.27% males, median age 27 years), 5,929 (1.93%) had serological evidence of at least one TTVI, and 26 (0.0085%) had multiple infections. The lowest prevalence (1.09%) was detected in donors aged 18-25 years old, and a higher prevalence (2.05%) was evident in males in comparison with females (1.38%). The seroprevalence of HBV, HCV, and HIV was 1.18, 0.52, and 0.23%, respectively. Trend analyses revealed a significant regression in HBV and HIV prevalence from 2011 to 2021. HBV seropositivity depicted a temporal decline by ~80%, from 0.79% in 2011 to 0.16% in 2021 in those born in 1993 and thereafter. The seroprevalence of HBV, HIV, and to a lesser extent HCV dropped over the study 18-year period. Possible explanations may include implementation of the HBV vaccine, robust national health system, conservative sociocultural values, and isolation.

Comprehensive Cost Implications of Commercially Available Noninvasive Colorectal Cancer Screening Modalities.

There is an increasing usage of noninvasive screening modalities for colorectal cancer (CRC), primarily the fecal immunochemical test (FIT) and multi-target stool DNA test (Cologuard [CG]). The aim of this study was to determine the comprehensive, long-term cost implications of these noninvasive screening modalities. Using a national insurer-based administrative dataset, patients screened for CRC from January 1, 2019 to December 31, 2019 were analyzed. A hierarchical logic system was used to determine the primary screening modality for each patient. The total annual costs in US dollars ($) were extrapolated using number of patients screened, costs per test, screening intervals, and costs incurred from false results. Patients within our tumor registry diagnosed with CRC were matched to their claims data, and cancer stage distribution was compared. Of 119,334 members who underwent noninvasive screening, 38.1% underwent screening with FIT and 40.0% with CG. The combined annual cost for these 2 screening modalities was $13.7 million. By transitioning to FIT alone for all noninvasive screening, the total annual cost would decrease to $7.9 million, resulting in a savings of approximately $5.8 million per year. Additionally, by combining data from the network cancer registry and insurer-based claims dataset, we were able to match 533 individuals who underwent screening and were later diagnosed with CRC. The rate of early-stage (stage 0 to II) disease was found to be similar between those screened with FIT and CG (59.5% FIT vs 63.2% CG; p = 0.77). The adoption of FIT as the primary noninvasive CRC screening method has the potential to generate significant cost savings, and therefore, carries significant value implications for a large population health system.

Healthcare Resource Utilization and Costs in Patients with EGFR-Mutated Advanced Non-Small Cell Lung Cancer Receiving First-Line Treatment in the United States: An Insurance Claims-Based Descriptive Analysis.

An estimated 10-15% of non-small cell lung cancer (NSCLC) cases present with epidermal growth factor receptor mutation (EGFRm). While EGFR tyrosine kinase inhibitors (EGFR-TKIs) such as osimertinib have become first-line (1L) standard of care for these patients, limited chemotherapy use still occurs in real-world practice. Studies of healthcare resource use (HRU) and cost of care provide a means by which the value of various treatment regimens, healthcare efficiency, and disease burden can be assessed. These studies are important for population health decision makers and health systems that prioritize value-based care to drive population health. The aim of this study was to descriptively assess HRU and costs among patients with EGFRm advanced NSCLC initiating 1L therapy in the United States. IBM MarketScan Research Databases (January 1, 2017 to April 30, 2020) were used to identify adult patients with advanced NSCLC, based on a diagnosis for lung cancer (LC) and initiation of 1L therapy or diagnosis of metastases within 30 days of the first LC diagnosis. All patients had ≥ 12 months of continuous insurance eligibility prior to the first LC diagnosis and initiated (in 2018 or after) an EGFR-TKI during any line of therapy to proxy EGFRm status. Per-patient-per-month all-cause HRU and costs were described during 1L for patients initiating 1L osimertinib or chemotherapy. A total of 213 patients with advanced EGFRm NSCLC were identified (mean age at 1L initiation: 60.9 years; 69.0% female). In 1L, 66.2% initiated osimertinib, 21.1% chemotherapy, and 12.7% another regimen. Mean 1L therapy duration was 8.8 months (osimertinib) and 7.6 months (chemotherapy), respectively. Among osimertinib recipients, 28% had an inpatient admission, 40% an emergency room (ER) visit, and 99% an outpatient visit. Among chemotherapy recipients, these proportions were 22%, 31%, and 100%. Mean monthly all-cause healthcare costs among osimertinib and chemotherapy patients were US$27,174 and US$23,343, respectively. Among osimertinib recipients, drug-related costs (including pharmacy and outpatient antineoplastic drug and administration costs) made up 61% (US$16,673) of total costs, inpatient costs 20% (US$5462), and other outpatient costs 16% (US$4432). In chemotherapy recipients, 59% (US$13,883) of total costs were drug-related, 5% (US$1166) were inpatient costs, and 33% (US$7734) other outpatient costs. Higher mean total cost of care was observed among patients receiving 1L TKI (osimertinib) than 1L chemotherapy in EGFRm advanced NSCLC. However, descriptive differences in type of spending and HRU were identified: higher inpatient costs and inpatient days for osimertinib versus higher outpatient costs for chemotherapy. Findings suggest that significant unmet needs may remain for 1L treatment of EGFRm NSCLC, and despite significant advances in targeted care, further individualized therapies are needed to balance benefits, risks, and total cost of care. Furthermore, observed descriptive differences in inpatient admissions may have implications for quality of care and patient quality of life, for which additional research is warranted.

Integration Through Health During Protracted Displacement: Case Studies From Colombia and Jordan

As the global rate of displacement reaches new highs and the average length of displacement extends from years to decades, integration is an increasingly crucial lifeline for refugees and displaced communities seeking to rebuild their lives. Health systems serve as an ideal conduit for integration due to universal need, system complexity, and the interplay of political, social, and economic factors on health outcomes. Using lessons learned from case studies in Colombia and Jordan, this paper will explore different strategies for integration of refugee health services with host population health systems. It will highlight successful policy implementation and innovative approaches as well as predict potential barriers to success via a population-centered approach that emphasizes the importance of supporting host communities concurrently with displaced populations. It offers the following findings and recommendations for governmental and humanitarian actors. Effective integration requires a “whole of person” approach which acknowledges and responds to the linkages between legal status, economic needs, and mental and physical health and wellbeing. Addressing the health needs of populations experiencing protracted displacement must go hand-in-hand with, and cannot be decoupled from, addressing the needs of host communities. Demographic and epidemiologic data inclusive of both host and displaced populations enables governments and service providers to better plan for and respond to key health and non-health needs. Donors and financing structures can play a critical role in facilitating greater integration of health and other services.

Health in All Education: A Transdisciplinary Learning Outcomes Framework

Historical and recent population health issues necessitate the goal of educating and preparing a transdisciplinary workforce with population health knowledge and competence to be able to develop, implement, and evaluate innovative and feasible solutions that not only address multifaceted community health problems downstream but also to be able to predict and prevent those factors that contribute to an inequitable health burden upstream. To identify where population health education is already shared among multiple disciplines, the Centers for Disease Control and Prevention's Academic Partnerships to Improve Health program conceptualized the Health In All Education initiative that was implemented in partnership with the Association for Prevention Teaching and Research. The purpose of the initiative was to (1) show the importance of integrating population health principles into higher-education transdisciplinary practices; (2) discuss examples of Centers for Disease Control and Prevention collaboration with disciplines related to public health (i.e., economics, environmental engineering, health informatics, health law and policy, social work, liberal education in general education); and (3) explore opportunities to promote transdisciplinary learning to prepare for collaborative, interprofessional practice in population health. This article introduces the Health in All Education Learning Outcomes Framework, a set of shared population health concepts identified on the basis of discipline-representative consensus. The following domains were identified as having transdisciplinary applicability on the basis of established public health curricula, competency, and learning outcome models: determinants of health, evidence-based approaches, population health focus, interprofessional practice, community collaboration, environmental health, occupational health, global health, diversity/cultural competence, health systems, finance and budgeting, and health law and policy.

Risk factors associated with COVID-19 morbidity and mortality at a national tertiary referral treatment centre in Ghana: a retrospective analysis

Introduction: there is a substantial variation in COVID-19 case fatality rates across different locations, which may be due to differences in population age structure, patient factors, or health system factors. The study evaluated the clinical features and risk of COVID-19 morbidity and mortality among confirmed cases at COVID-19 referral treatment centre.

CrisisReady's novel framework for transdisciplinary translation: Case-studies in wildfire and hurricane response

Extreme weather events including wildfires and hurricanes are becoming increasingly hazardous due to climate change, and often result in transient or permanent population displacements. Disaster-related disruptions in infrastructure, workforce, wages, and social networks can combine with population displacements to result in interruptions in health care access and prolonged impacts on morbidity and mortality. The data needed to make health systems and emergency management approaches more resilient to these hazards, and more responsive to the needs of affected populations, are sequestered in silos across private corporations and public agencies. In two case studies, we describe how our research team at CrisisReady negotiated access to privately held and novel data sources like anonymized geolocation data from cell-phones, while striking a balance between data security and public health utility. We describe how our analytic tools are embedded into disaster response workflows by co-developing our research questions and outputs with responders and policy-makers. ReadyMapper, an interactive data visualization tool to track population mobility, infrastructure damage, and health system capacity, in near real-time, was deployed during wildfires in California and during the Hurricane Ida response in Louisiana. The Data-Methods-Translational framework we have developed is scalable and relies on sharing science and co-creating products with policy makers and response agencies to ensure real-world applicability. These attributes make the framework particularly useful for formulating evidence-based approaches to protect human health through climate change adaptation.

The impact of public health interventions in a developing nation: an overview

Introduction: Around 80% of factors that determine population health sit outside the control of health services. It is essential we influence these factors in addition to those within the remit of health services in order to improve and protect the health of population in a developing country. Public health functions encompass working across the domains that constitute population health systems with various partners. The objective of this article is to give an overview of public health interventions that can improve the health of the population of a developing nation.&#x0D; Method: A descriptive study, based on a review of the literature of key public health frameworks and interventions that are likely to have significant impacts on population health. Some selected public health interventions and case studies are highlighted to illustrate the importance of priority areas in developing countries.&#x0D; Results: Various public health frameworks recognise the importance of wider determinants of health (socio-economic factors), effective healthcare, healthy behaviours, working with communities as critical to securing population health. Another framework adopts a life-course model of intervention starting from public health interventions during preconception period and childhood, adolescence, working life and older age. For many developing countries, the author identified some examples of priority areas for interventions such as stopping and preventing wars; improving child health, including free school meals; achieving universal healthcare through integrated primary health care; addressing commercial determinants of health; embracing new technologies; and measuring and monitoring population health.&#x0D; Conclusion: In order to improve the health of a population in a developing country, attention needs to go beyond health services to influence the wider determinants of health, health behaviours and adopting the World Health Organisation’s roadmap on essential public health functions.

Potential gains by effective early detection of diseases: proposal to approach informing public health policy in the Czech Republic

Abstract Background Significant amount of disease burden could be averted by early detection and treatment of diseases. In the Czech Republic, National Screening Centre (NSC) of the Institute of Health Information and Statistics is responsible for informing public health policy in the field of early disease detection. The objective of the proposed early detection public health foresight study (PHFS) is to gather evidence, use available computational tools, utilise knowledge and opinions of stakeholders, and summarize it in a systematic manner to inform public health policies. The presentation outlines the approach undertaken within the proposed early detection PHFS. Methods The key source of data for monitoring of population health status and healthcare system in the Czech Republic is the National Health Information System (NHIS). The study will also utilise external sources of data, namely demographic projections and data on global burden of disease, as well as qualitative data from stakeholders. The study will also utilise analytical tools and outputs developed by NSC (situational analyses, decision modelling, etc.). The conceptual model of the study will cover important underlying aspects like public policies, driving forces, population health and healthcare system, and health impact variables. Results The proposal for early detection PHFS has been developed within the PHFS capacity building course, utilising the experience and insights of tutors and fellow participants. The development of study methodology was accompanied by gathering of evidence and consultations with relevant stakeholders. Conclusions PHFS is a very useful approach to assess possible future developments of public health system, achieve participation of stakeholders, and to inform public health strategies. Following finalisation of the early detection PHFS protocol, governing board of the NSC will decide on the degree of implementation of the study.

Changes in the utilisation of acute hospital care in Ireland during the first wave of the COVID-19 pandemic in 2020.

Reduced and delayed presentations for non-COVID-19 illness during the COVID-19 pandemic have implications for population health and health systems. The aim of this study is to quantify and characterise changes in acute hospital healthcare utilisation in Ireland during the first wave of COVID-19 to inform healthcare system planning and recovery. A retrospective, population-based, observational study was conducted using two national datasets, Patient Experience Time (PET) and Hospital In-Patient Enquiry (HIPE). The study period was 6th January to 5th July 2020. Comparison between time periods pre- and post-onset of the COVID-19 pandemic within 2020 showed there were 81,712 fewer Emergency Department (ED) presentations (-18.8%), 19,692 fewer admissions from ED (-17.4%) and 210,357 fewer non-COVID-19 hospital admissions (-35.0%) than expected based on pre-COVID-19 activity. Reductions were greatest at the peak of population-level restrictions, at extremes of age and for elective admissions. In the period immediately following the first wave, acute hospital healthcare utilisation remained below pre-COVID-19 levels, however, there were increases in emergency alcohol-related admissions (Rate Ratio 1.22, 95% CI 1.03, 1.43, p-value 0.016), admissions with self-harm (Rate Ratio 1.39, 95% CI 1.01, 1.91, p-value 0.043) and mental health admissions (Rate Ratio 1.28, 95% CI 1.03, 1.60, p-value 0.028). While public health implications of delayed and lost care will only become fully apparent over time, recovery planning must begin immediately. In the short-term, backlogs in care need to be managed and population health impacts of COVID-19 and associated restrictions, particularly in relation to mental health and alcohol, need to be addressed through strong public health and health system responses. In the long-term, COVID-19 highlights health system weakness and is an opportunity to progress health system reform to deliver a universal, high-quality, sustainable and resilient health system, capable of meeting population health needs and responding to future pandemics.

A social ecological approach to identify the barriers and facilitators to COVID-19 vaccination acceptance: A scoping review.

COVID-19 is an infectious disease caused by the SARS-CoV-2 virus that has caused substantial impact on population health, healthcare, and social and economic systems around the world. Several vaccines have been developed to control the pandemic with varying effectiveness and safety profiles. One of the biggest obstacles to implementing successful vaccination programmes is vaccine hesitancy stemming from concerns about effectiveness and safety. This review aims to identify the factors influencing COVID-19 vaccine hesitancy and acceptance and to organize the factors using the social ecological framework. We adopted the five-stage methodological framework developed by Arksey and O'Malley to guide this scoping review. Selection criteria was based on the PICo (Population, Phenomenon of interest and Context) framework. Factors associated with acceptance and hesitancy were grouped into the following: intrapersonal, interpersonal, institutional, community, and public policy factors using the social ecological framework. Fifty-one studies fulfilled this review's inclusion criteria. Most studies were conducted in Europe and North America, followed by Asia and the Middle East. COVID-19 vaccine acceptance and hesitancy rates varied across countries. Some common demographic factors associated with hesitancy were younger age, being female, having lower than college education, and having a lower income level. Most of the barriers and facilitators to acceptance of the COVID-19 vaccines were intrapersonal factors, such as personal characteristics and preferences, concerns with COVID-19 vaccines, history/perception of general vaccination, and knowledge of COVID-19 and health. The remaining interpersonal, institution, community, and public policy factors were grouped into factors identified as barriers and facilitators. Our review identified barriers and facilitators of vaccine acceptance and hesitancy and organised them using the social ecological framework. While some barriers and facilitators such as vaccine safety are universal, differentiated barriers might exist for different target groups, which need to be understood if they are to be addressed to maximize vaccine acceptance.

Spatial–Temporal Characteristics and Driving Factors of the Coupling Coordination between Population Health and Economic Development in China

Promoting the coordinated development of population health and the economy is an important part of building a “Healthy China” and promoting high-quality economic development. Based on the systematic construction of the population health and economic development evaluation index system, this paper uses the coupled coordination model, geodetector, and geographically weighted regression (GWR) to comprehensively measure the population health level and economic development level at the provincial scale in China in 2000 and 2015, and reveals the spatial and temporal evolution characteristics of the coupled coordination relationship between the population health level and economic development level at the provincial scale in China from 2000 to 2015 and its driving factors. The results show the following: (1) China’s population health and economic development are in a high-level coupling stage, and the coupling level increases slightly with time; spatially, two types of running-in coupling and high-level coupling coexist; the coupling degree in the eastern and central regions tends to increase, while the coupling degree in the western region tends to weaken. (2) China’s population health and economic development are in a good coupling coordination stage as a whole, and the coupling coordination degree has an increasing trend; spatially, the coupling coordination degree shows high spatial differentiation characteristics in the east and low in the west; the good and high-quality coupling coordination type area tends to expand to the west, while the moderate coupling coordination type area tends to shrink to the west; there is also positive spatial agglomeration of coupling coordination degree, and the spatial agglomeration is gradually enhanced. (3) The coupling coordination of China’s population health and economic development is driven by multiple factors such as natural conditions, health resources, culture quality, and urbanization level; the interaction between factors is stronger than that of a single factor, and the driving effect of each factor also shows significant spatial heterogeneity. This study is intended to provide a scientific basis for promoting harmonious population health and economic development.

A Scoping Review of Perinatal Outcomes for Canadian Individuals with Obesity 1980–2020

Background: Pre-pregnancy obesity has long been associated with a higher risk of antepartum, intrapartum, and postpartum complications, leading to classifying all patients within the WHO obese body mass index range (BMI ≥30 kg/m2) as high-risk. Excessive risk classification can lead to over-treatment and iatrogenic harm. Research supporting these increased risks comes from a variety of countries with different baseline population health and perinatal health care systems. Recent research documents that parturients with high pre-pregnancy BMI can have uncomplicated pregnancies and births. Here, the relationship between obesity and perinatal outcomes in a Canadian population is investigated using Canada as a model of a country with stable nutrition sufficiency and universal access to health care. Methods: We searched electronic databases PubMed, Ovid MEDLINE, and CINAHL for peer-reviewed articles in English that examined perinatal outcomes of singleton pregnancies in Canada between 1980 and 2020 based on pre-pregnancy obesity as the exposure of interest. Results: The search yielded 1946 results. After full-text screening, 21 articles met criteria for analysis. The impact of obesity on preterm labour, preterm birth, post-term delivery, labour induction, post-partum hemorrhage, and parturient morbidity and mortality in Canada remains inconclusive. The risk of hypertensive disorders, gestational diabetes, shoulder dystocia, and cesarean section delivery was significantly elevated as BMI increased. Operative vaginal delivery was less common in those with pre-pregnancy obesity. Conclusions: Though certain adverse perinatal outcomes are associated with increasing pre-pregnancy BMI, given the wide range of results and range of risk values, further research is required to better delineate comorbid risk factors that contribute to poorer outcomes. Nation-specific outcomes that reflect the accessibility of perinatal care and population health are a necessary baseline for the development of accurate health management guidelines.

Impact of extreme temperatures on emergency hospital admissions by age and socio-economic deprivation in England

Climate change poses an unprecedented challenge to population health and health systems’ resilience, with increasing fluctuations in extreme temperatures through pressures on hospital capacity. While earlier studies have estimated morbidity attributable to hot or cold weather across cities, we provide the first large-scale, population-wide assessment of extreme temperatures on inequalities in excess emergency hospital admissions in England. We used the universe of emergency hospital admissions between 2001 and 2012 combined with meteorological data to exploit daily variation in temperature experienced by hospitals (N = 29,371,084). We used a distributed lag model with multiple fixed-effects, controlling for seasonal factors, to examine hospitalisation effects across temperature-sensitive diseases, and further heterogeneous impacts across age and deprivation. We identified larger hospitalisation impacts associated with extreme cold temperatures than with extreme hot temperatures. The less extreme temperatures produce admission patterns like their extreme counterparts, but at lower magnitudes. Results also showed an increase in admissions with extreme temperatures that were more prominent among older and socioeconomically-deprived populations - particularly across admissions for metabolic diseases and injuries.

A life course epidemiology approach to climate extremes and human health

A life course epidemiology approach to climate extremes and human health

Changes in the utilisation of acute hospital care in Ireland during the first wave of the COVID-19 pandemic in 2020

Reduced and delayed presentations for non-COVID-19 illness during the COVID-19 pandemic have implications for population health and health systems. The aim of this study is to quantify and characterise changes in acute hospital healthcare utilisation in Ireland during the first wave of COVID-19 to inform healthcare system planning and recovery. A retrospective, population-based, observational study was conducted using two national datasets, Patient Experience Time (PET) and Hospital In-Patient Enquiry (HIPE). The study period was 6th January to 5th July 2020. Comparison between time periods pre- and post-onset of the COVID-19 pandemic within 2020 showed there were 81,712 fewer Emergency Department (ED) presentations (-18.8%), 19,692 fewer admissions from ED (-17.4%) and 210,357 fewer non-COVID-19 hospital admissions (-35.0%) than expected based on pre-COVID-19 activity. Reductions were greatest at the peak of population-level restrictions, at extremes of age and for elective admissions. In the period immediately following the first wave, acute hospital healthcare utilisation remained below pre-COVID-19 levels, however, there were increases in emergency alcohol-related admissions (Rate Ratio 1.22, 95% CI 1.03, 1.43, p-value 0.016), admissions with self-harm (Rate Ratio 1.39, 95% CI 1.01, 1.91, p-value 0.043) and mental health admissions (Rate Ratio 1.28, 95% CI 1.03, 1.60, p-value 0.028). While public health implications of delayed and lost care will only become fully apparent over time, recovery planning must begin immediately. In the short-term, backlogs in care need to be managed and population health impacts of COVID-19 and associated restrictions, particularly in relation to mental health and alcohol, need to be addressed through strong public health and health system responses. In the long-term, COVID-19 highlights health system weakness and is an opportunity to progress health system reform to deliver a universal, high-quality, sustainable and resilient health system, capable of meeting population health needs and responding to future pandemics.