Routine Data Research Articles

Water quality–fisheries tradeoffs in a changing climate underscore the need for adaptive ecosystem–based management

Changes driven by both unanticipated human activities and management actions are creating wicked management landscapes in freshwater and marine ecosystems that require new approaches to support decision-making. By linking a predictive model of nutrient- and temperature-driven bottom hypoxia with observed commercial fishery harvest data from Lake Erie (United States-Canada) over the past century (1928-2022) and climate projections (2030-2099), we show how simple, yet robust models and routine monitoring data can be used to identify tradeoffs associated with nutrient management and guide decision-making in even the largest of aquatic ecosystems now and in the future. Our approach enabled us to assess planned nutrient load reduction targets designed to mitigate nutrient-driven hypoxia and show why they appear overly restrictive based on current fishery needs, indicating tradeoffs between water quality and fisheries management goals. At the same time, our temperature results show that projected climate change impacts on hypoxic extent will require more stringent nutrient regulations in the future. Beyond providing a rare example of bottom hypoxia driving changes in fishery harvests at an ecosystem scale, our study illustrates the need for adaptive ecosystem-based management, which can be informed by simple predictive models that can be readily applied over long time periods, account for tradeoffs across multiple management sectors (e.g., water quality, fisheries), and address ecosystem nonstationarity (e.g., climate change impacts on management targets). Such approaches will be critical for maintaining valued ecosystem services in the many aquatic systems worldwide that are vulnerable to multiple drivers of environmental change.

Satisfaction with maternity care among immigrant women compared to non-immigrant women

Abstract Introduction Migration is a worldwide phenomenon leading to challenges for the health care system. There is conflicting evidence on the effect of migration on the satisfaction with obstetric care. Our hypothesis was that satisfaction with obstetric care was lower in immigrant women with and without self-defined (sd) refugee status than in non-immigrant women. Methods In the Pregnancy and Obstetric Care for Refugees (PROREF)-study between June 2020 and April 2022 in Berlin women were interviewed 1-3 days after giving birth with the Migrant Friendly Maternity Care Questionnaire (MFMCQ). The interview data was linked to the routine perinatal data of the hospital charts. Descriptive analysis and logistic regression analysis were performed to identify factors influencing satisfaction with obstetric care. Results A total of 3420 women (Frauen (247 with sd refugee status, 1356 immigrant women und 1817 non-immigrant women) could be included in the study, with an overall response rate of 77.5%. Satisfaction measured generally high with over 80% of women being satisfied with obstetric care at all three time points: during pregnancy, during labor and birth and after giving birth. We identified two factors associated with an increased chance of being satisfied with obstetric care: sd refugee status (OR 2.57, 95% Cl 1.48 - 4.44, p-value 0.0008) and being multipara (OR 1.40, 95% Ci 1.18 - 1.67, p-value 0.000). Conclusions Efforts on improving birth experience should focus on primipara. Among the reasons for non-immigrant women being less satisfied with care than women with sd refugee status might be different expectations and the timing of data collection. Key messages • Refugee women might have different expectations regarding birth experience than other immigrant women and non-immigrant women. • Satisfaction with obstetric care in Berlin is generally high among immigrant women and non-immigrant women.

Monitoring inequities using routine administrative data: a case study of cancer screening in Ontario, Canada

Abstract Routine cancer screening is a critical primary care service to reduce cancer morbidity and mortality, through early detection, diagnosis, and treatment. We evaluated longitudinal changes in socioeconomic inequities in cancer screening in Ontario, Canada, by using linked provincial health administrative databases including 15.9 million records eligible for cancer screening. The rate of colorectal cancer screening increased between 2011 and 2020 (54% to 62%) with a reduction in the indices of inequity (slope index, SII: from 0.36 to 0.33; relative index of inequity, RII: from 0.69 to 0.54). However, the rate of cervical cancer screening decreased (from 76% to 68%), particularly in deprived areas (RII increasing from 0.47 to 0.54). Access to cancer screening is a challenge in deprived areas. Understanding the socio-economic determinants in access to screening across the life course can help develop tailored interventions to increase health equity.

A cross-sectional study of data linkage and artificial intelligence practices across European countries

Abstract Background The availability of different data sources is increasing with the possibility to link them with each other. However, linked administrative data can be complex to use and may require advanced expertise and skills in statistical analysis. The main objectives of this study were to describe the use of data linkage and artificial intelligence (AI) in routine public health activities and the constraints to linking different data sources. Methods A cross-sectional survey was performed across European countries to explore the current practices applied by national institutes of public health, health information and statistics for innovative use of data sources (i.e., the use of data linkage and/or AI). Results In Europe, the use of data linkage and AI at national institutes of public health, health information and statistics varies. The use data linkage in routine by applying a deterministic method or a combination of two types of linkages (i.e., deterministic & probabilistic) for public health surveillance and research purposes is common in majority of European countries. The use of AI to estimate health indicators is not frequent among these institutes. The complex data regulation laws, lack of human resources, skills and problems with data governance, were reported by European countries as main constraints to routine data linkage for public health surveillance and research. Conclusions Our study showed that the majority of European countries have integrated data linkage in their routine public health activities but only a few use AI. A sustainable national health information system allowing to link different data sources are essential to contribute to public health research. Moreover, it supports evidence-informed health policy making processes with an overview of various aspects affecting population health and may contribute to European pandemic preparedness.

7.P. Skills building seminar: Using health impact assessment for assessing tobacco control policies

Abstract Tobacco use is the largest contributor to premature death and preventable disease in Europe. Despite decreasing tobacco use in recent years, the European Commission estimates that the number of smokers in Europe is 26% in the population, and 29% among 15-24 year olds. This persistent public health risk is amenable to policy, but targeted and effective strategies are needed. Health impact assessment (HIA) methods can aid decision-makers in exploring the consequences of policy actions on select outcomes, providing a platform for informed, evidence-based policy design. Routine data collection on risk factors including smoking and tobacco use behaviour is common and available in Europe. Analysing and valorising these data can provide a better picture of vulnerable and target groups for which tobacco use is a persistent problem, or where the attributable disease burden is particularly high. These data can form the basis for robust projections and the application of HIA methods. In addition, a number of policy strategies exist for tobacco control including changes in packaging, taxation, labelling, ingredients, creation of smoke-free environments, and restrictions on advertising. These policies have a common goal in improving tobacco control, but may lead to differential effects across age groups, populations, and different measures of tobacco use. It is thus necessary to use robust tools to understand these effects and better coordinate and plan policy. HIA methods, each with their own strengths and limitations, have been applied successfully to estimate the impact of different tobacco control measures. Novel methodologies that make use of available data, computational power, and provide a low-cost way to explore policy interventions can be an essential tool to policy planning and in particular to tackle the intractable areas of tobacco control. This skills building workshop will present two key approaches, each with their own strengths and weaknesses, that have been applied in HIA studies on tobacco control - i.e., a static approach based on the calculation of potential impact fraction, and a dynamic approach based on microsimulation models. Furthermore, the workshop will demonstrate, using two real-life examples, how policy measures can be translated into effect size estimates - which is one of the most crucial steps in any HIA. By providing a step-by-step presentation of how HIA has been applied in practice, attendees will gain unique insights in the different ways by which HIA can be used to gain insights into the relative impact of policy strategies for tobacco control. Key messages • Tobacco use remains the largest contributor to preventable disease burden in Europe; a key area for analysing policies using health impact assessment. • Attendees will gain unique insights in the different ways by which HIA can be used to gain insights into the relative impact of policy strategies for tobacco control.

11.A. Scientific session: Overcoming Real-World Challenges in Setting up Health Data Linkages for Public Health Policy

Abstract Background Linking available administrative data has gained momentum in the last years to enhance public health research and public health formulation. Linkage of diverse data sources can be leveraged to understand social-determinants of health, the cost-effectiveness of an intervention, and to evaluate impact of policies. For instance, data linkage has been proven to be a powerful approach to periodically analyze real-world progress of the COVID-19 pandemic. Today, we are witnessing an unparalleled increase in electronic health data stemming from citizens who interact with services such as healthcare providers, employers, sick funds, and other governmental structures. This enormous amount of data opens many innovative possibilities in epidemiological research. The main advantages of the secondary use of data are the following: 1) it is enriching for new collected data (e.g. survey study), 2) it provides comprehensive information of the target population, and 3) it is cheaper than new data collection. Data linkage between data sources is, however, often a herculean task, and it comes with considerable challenges such as: 1) juridical complexity related to intra-national and cross-border data governance procedures, 2) fragmented data integration, 3) data delivery delays. Addressing these challenges is essential to unlocking the true potential of data linkages for timely responses to emerging public health questions, thereby contributing to evidence-based policy and care and transforming our health research into a One Health approach. Objectives The workshop’s main aim is to present the researcher’s lessons-learned and approaches in applying data linkage from an European, and a country-level perspective through case-studies while creating a space for the public to share their own view. In this workshop we aim to 1) provide a helicopter overview of current data linkages approaches in Europe, 2) illustrate this with case studies from an international, and a country-level perspective, and 3) emphasize the challenges and disadvantages of those data linkages, while sharing potential solutions. Workshop outline The workshop is divided into a knowledge translation, and an interactive part. In the first part of the workshop, three speakers will give a presentation of each 10 minutes with a Q&A of 5 minutes between each presentation where data linkage will be introduced, and three case studies on how data linkage can be used will be presented. The first presentation will introduce approaches to data linkages in Europe, and will delve into how AI can be used during routine data linkage. The second presentation will show a case-study on how an international data linkages can be done in an European federated manner. The third presentation will further illustrate how nationally data can be linked to investigate health inequalities. In the second part of the workshop, the audience will be invited to interact with the speakers and share their experiences. Key messages • A comprehensive overview of different current data linkages approaches are provided, setting the stage for discussions on methods and best practices. • Administrative data linkages are a powerful tool to answer important public health challenges, but important challenges related to data governance need to be addressed to realize the full potential.

Prevalence and incidence of chronic wounds in Austria - a population-based real-world data analysis

Abstract Background Chronic wounds are associated with pain, odor, loss of mobility, an increased risk for infection and sepsis and a reduced quality of life. Treatment costs are rising due to the longevity of the population and increasing number of diabetes cases. For service planning in healthcare, it is thus necessary to describe patient characteristics and estimate the prevalence and incidence of chronic wounds. Currently, no data exists on this subject broken down by age group, gender, and province in Austria. Methods A retrospective analysis of real-world data was conducted using two merged datasets from an outpatient wound centre and the Austrian Health Insurance Fund. The study population consisted of people who resided in Austria and were covered by statutory health insurance from 2018 to 2022. We performed a descriptive, socio-demographic analysis of the data of patients, followed by a set of cluster analyses using the unsupervised K-means algorithm. From these clusters, we derived subgroup characteristics and patient trajectories and calculated prevalence and incidence rates for chronic wounds according to diagnoses, different age groups, gender, and different regions. Results Gender was almost evenly distributed in the wound centre’s data set (n = 4963; 49.6% female). The age distribution revealed the age group from 71-80 years being the largest group. In general, more women than men are affected by chronic wounds from the age of 81 onwards. 31% of chronic wound patients had diabetes as an underlying condition. More men were affected by peripheral arterial occlusive disease and diabetic foot syndrome and, conversely, more women by chronic venous insufficiency. These are preliminary results of the analyses. Conclusions Chronic wound patients were characterised by older age and multi-morbidity. Interestingly, gender differences appeared in the occurrence of comorbidities. Key messages • This study makes a crucial contribution in making routine data usable for the epidemiological study of chronic wounds, a cluster of diseases of complex aetiology. • It thus contributes to filling a knowledge gap. The prevalence estimate serves as a basis of knowledge for health care planning and a basis for the health economic assessment of the problem.

Effect of Statins and Renin-Angiotensin-Aldosterone System Inhibitors on IL-6 Levels in COVID-19 Patients.

Background/Objectives: Severe clinical course and mortality from COVID-19 are mostly associated with increased concentrations of IL-6 and IL-10. Findings from clinical trials suggest that both statins and renin-angiotensin-aldosterone system inhibitors (RAASI) might have the potential to reduce unfavorable outcomes in patients with COVID-19. The aim of this study was to evaluate the effect of statins and RAASI on the cytokine concentrations in COVID-19 patients. Methods: SARS-CoV-2 infected patients were enrolled in this study, and demographic, clinical, and routine laboratory data were evaluated. Plasma cytokine levels were measured by multiplex assay. Results: COVID-19 patients with chronic cardiovascular diseases (CVD) had significantly lower median plasma IL-6 levels than COVID-19 patients with no co-morbidities (26 vs. 53 pg/mL, p = 0.021). COVID-19 patients with CVD who were taking statins had significantly lower median concentrations of IL-6 (21 vs. 44 pg/mL, p = 0.027), TNFα (21 vs. 39.5 pg/mL, p = 0.036), and IL-10 (19 vs. 25.5 pg/mL, p = 0.025) compared to COVID-19 patients with no CVD. In a binary logistic regression model, IL-6 was a significant variable, with an odds ratio value of 0.961 (95% CI 0.929-0.995). Regarding RAASI, only plasma IL-6 (22 vs. 44 pg/mL, p = 0.012) levels were found to be significantly lower in COVID-19 patients with CVD consuming these medications compared to patients who did not have any CVD. Conclusions: COVID-19 patients who had chronic cardiovascular co-morbidities and who were administered statins or RAASI had significantly lower concentrations of IL-6 than COVID-19 patients who did not have any co-morbidities. These findings suggest that the use of statins or RAASI may be of value in COVID-19 patients.

Prescription of antibiotics for urinary tract infections in outpatient care in Bavaria: An analysis of routine data.

Patients with urinary tract infection (UTI) in German outpatient care are usually treated by general practitioners (GPs), as well as by other specialties. To prevent antibiotic resistances and side effects, German guidelines recommend fosfomycin, nitrofurantoin, pivmecillinam and nitroxoline as first-line treatments, and advice against broad-spectrum antibiotics such as fluoroquinolones and cephalosporins. However, data from the European Centre for Disease Prevention and Control indicates a significant proportion of second-line antibiotics in German outpatient care. Our aim was to analyze whether antibiotic prescription has changed over time in accordance with guidelines. In addition, we aimed to investigate whether specialties prescribe different antibiotics for UTIs and whether prescription varies according to patient age and sex. For patients receiving more than one antibiotic, we wanted to determine whether subsequent prescriptions show a change in substances and specialties involved. This retrospective study involved routine data (2013 to 2019) provided by the Bavarian Association of Statutory Health Insurance Physicians. Data on diagnoses and prescriptions were transmitted from outpatient care physicians on a quarterly basis. UTI patients ≥12 years were included. We analyzed 1.7 million UTI prescription cases. In females, shares of fluoroquinolones decreased sharply over time, while shares of first-line substances fosfomycin and pivmecillinam increased. Gynecologists showed the highest shares of first-line substances compared to GPs and urologists. Fluoroquinolone shares decreased in all three specialty groups. In females, older patients showed lower shares of first-line substances than younger patients. If a second or third antibiotic was prescribed, fosfomycin shares decreased, while shares of nitrofurantoin, nitroxoline and cephalosporins increased. Our findings show a trend towards a more guideline-adherent prescribing in the treatment of UTI, with a significant increase of shares of fosfomycin and pivmecillinam, especially in women, and a sharp decrease of shares of fluoroquinolones.

Effects of high thermal stress on health-a nationwide analysis based on statutory health insurance routine data between 2012 and 2021

The extent to which statutory health insurance (SHI) data can be used to map associations between thermal stress and heat-related diseases is still unclear. The aim of this study is to analyse the association between climate variability and heat-associated diseases using insurance data. The study is based on claims data (outpatient and stationary) from health insurance companies in Germany for the years 2012-2021, covering approximately 11million people with statutory health insurance. Four heat-related ICD-10 diagnoses were considered: T67 (heat and sun damage), E86 (volume depletion), N17 (acute renal failure) and N19 (renal insufficiency). Thermal conditions were quantified using meteorological variables. The evaluation was carried out on afederal state-specific basis for the secondand thirdquarters (Q2, Q3) using descriptive methods and correlation analyses with repeated measurements. The years 2016, 2018 and 2020 were characterised by high temperatures. Compared with Q2, Q3 was associated with higher thermal stress and more heat-related diagnoses on average during the entire observational period. Nationally, diagnoses of heat and sun damage (outpatient) correlated with the number of hot days (rmw = 0.86 [0.81; 0.90]). Although heat stress is lower in the second quarter, asimilar correlation is found here (rmw = 0.76 [0.68; 0.82]). This striking association was also maintained when analysing the federal states specifically. The article shows that associations between thermal stress and morbidity can also be found in routine SHI data. Against the background of an increase in high thermal stress due to climate change, this article highlights the need for adaptation measures.

IEHT vs. Regular Treatment - Are there Differences between the Two forms of Treatment in the Retrospective Course with regard to Individual Objective and Subjective Outcome Variables?

This retrospective follow-up study over one year (after discharge from the index treatment), compares the effects of inpatient-equivalent home treatment (IEHT) and regular psychiatric treatment using subjective and objective quality indicators. Using a 1:1 matching of cohorts (diagnosis, age, gender, number of previous treatments and severity of illness), 732 IEHT patients were assigned to a comparison group. Outcome data was taken from the routine data of the clinic database and the in-house basic documentation. In the subjective quality measure, patients and practitioners in regular psychiatric treatment reported a significantly higher improvement in condition. In terms of the objective quality measure, the number of further inpatient treatment days in the observation period, the two groups did not differ significantly, which can be interpreted as encouragement for the use of this new, increasingly established form of treatment.

Epidemiological Insights into Diabetes, Hypertension, and Cardiovascular Diseases: Implications for Public Health Nutrition

This review examines the epidemiological understanding of diabetes, hypertension, and cardiovascular diseases as interconnected nutritional disorders. These conditions, sharing common dietary and lifestyle risk factors, collectively represent significant global public health challenges that require integrated investigation and intervention approaches. Epidemiological approaches, including descriptive, analytical, and interventional designs, emphasizing their strengths and limitations in investigating disease prevalence, risk factors, and potential interventions. It scrutinizes the utilisation of routine population data and surveillance systems in estimating disease burden and assessing intervention effectiveness, focusing on large-scale population-based studies and national surveys. Advanced statistical analyses enhance data interpretation while accounting for demographic variables, ensuring precise comparative analyses across populations. The application of standardization techniques and robust statistical methods strengthens epidemiological findings and minimizes potential biases. A coordinated, multidisciplinary approach is essential for translating epidemiological evidence into effective public health interventions, emphasizing collaboration between epidemiologists, healthcare practitioners, and policymakers. This analysis provides insights for researchers, public health professionals, and policymakers engaged in addressing nutrition-related chronic diseases through epidemiological approaches, highlighting the field's potential to mitigate the escalating burden of these conditions while acknowledging its limitations.

Association Between Modifiable Structural and Process Factors and the Quality Indicator Pain in Nursing Home Residents: A MultiCentre Cross-Sectional Survey.

The aim of this study is to examine the association between modifiable structural and process factors and self-reported as well as observed pain in Swiss residential long-term care residents. Sub-study of a multicentre cross-sectional survey. Institution, unit, and staff data were collected from September 2018 to October 2019 in 118 residential long-term care institutions in Switzerland's German- and French-speaking regions using paper questionnaires. Resident data were exported during the same period from routine data sets. In this study, 6213 residents from 86 residential long-term care institutions were included. Modifiable structural factors such as institutions having access to geriatricians, nursing experts and a palliative care team, the presence of a pain guideline on the unit and good teamwork among care workers were associated to less pain in residents. It is possible for residential long-term care institutions to improve pain in residents and to optimise the quality of care by providing access to geriatricians, nursing experts and a palliative care team, working with a pain guideline and fostering teamwork. Residential long-term care institutions can modify and implement modifiable structural factors which can reduce pain in residents to optimise residents' quality of life and quality of care. Improved pain management in residential long-term care institutions can lead to optimised quality of care and quality of life for individual residents. STROBE checklist. No patient or public contribution.

Implementation of a genotyped African population cohort, with virtual follow-up: A feasibility study in the Western Cape Province, South Africa

Background There is limited knowledge regarding African genetic drivers of disease due to prohibitive costs of large-scale genomic research in Africa. Methods We piloted a cost-effective, scalable virtual genotyped cohort in South Africa, with participant recruitment using a tiered informed consent model and DNA collection by buccal swab. Genotype data was generated using the H3Africa Illumina micro-array, and phenotype data was derived from routine health data of participants. We demonstrated feasibility of nested case control genome wide association studies using these data for phenotypes type 2 diabetes mellitus (T2DM) and severe COVID-19. Results 2267346 variants were analysed in 459 participant samples. 78.6% of SNPs and 74% of samples passed quality control (QC). Principal component analysis showed extensive ancestry admixture in study participants. For 1780 published COVID-19-associated variants, 3 SNPs in the pre-imputation data and 23 SNPS in the imputed data were significantly associated with severe COVID-19 cases compared to controls. For 2755 published T2DM associated variants, 69 SNPs in the pre-imputation data and 419 SNPs in the imputed data were significantly associated with T2DM cases when compared to controls. Conclusions The results shown here are illustrative of what will be possible as the cohort expands in the future. Here we demonstrate the feasibility of this approach, recognising that the findings presented here are preliminary and require further validation once we have a sufficient sample size to improve statistical significance of findings. We implemented a genotyped population cohort with virtual follow up data in a resource-constrained African environment, demonstrating feasibility for scale up and novel health discoveries through nested case-control studies.

Development and validation of machine learning models for young-onset colorectal cancer risk stratification

Incidence of young-onset colorectal cancer (YOCRC, younger than 50) has significantly increased worldwide. The performance of fecal immunochemical test in detecting YOCRC is unsatisfactory. Using routine clinical data, we aimed to develop machine learning (ML) models to identify individuals with high-risk YOCRC who require further colonoscopy. We retrospectively extracted data of 10,874 young individuals. Multiple supervised ML techniques were devised to distinguish individuals with and without CRC, classifiers were trained, internally validated and temporally validated. In internal validation cohort, Random Forest (RF) ML model demonstrated good performance with AUC of 0.859 and highest recall of 0.840. In temporal validation cohort, the RF ML model also exhibited good classification performance, achieving AUC of 0.888 and highest recall of 0.872. RF algorithm-based approach is effective and feasible in YOCRC risk stratification. This could be valuable in assessing the risk of YOCRC so that clinical management, including further colonoscopy, can be subsequently made. (Registration: This study was registered with ClinicalTrials.gov (NCT06342622) on March 15, 2024.).

Circulation and Codetections of Influenza Virus, SARS-CoV-2, Respiratory Syncytial Virus, Rhinovirus, Adenovirus, Bocavirus, and Other Respiratory Viruses During 2022–2023 Season in Latvia

This retrospective study analysed the routine data obtained by multiplex real-time RT-qPCR methods for respiratory virus detection. A total of 4814 respiratory specimens collected during 1 September 2022–31 August 2023 were included in the study. A total of 38% of the specimens were positive for at least one target, with the incidence maximum (82%) for the small children (age group 0–4 years). The five dominant virus groups were rhinovirus (RV, 12%), influenza virus A (IAV, 7%), adenovirus (AdV, 6%), respiratory syncytial virus (RSV, 5%), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, 5%). The specimens with multi-detections represented 19% of the positives, unevenly distributed (n = 225, 56, 43, 24) among the age groups 0–4, 5–14, 15–64, and 65< years, respectively. The dominant virus groups in multi-positive specimens were RV (53%), AdV (43%), and bocavirus (BoV, 35%)—in mutual pairs as well as all three together—followed by RSV (21%), and IAV (15%). Our study focused on the specimens with codetections and provides an insight into the variety of the respiratory virus interactions in Latvia during the first year since pandemic-related social restriction measures were eased. The observations also emphasise the need to consider the differentiation between rhinoviruses and enteroviruses, especially for the youngest patients in the age group 0–4.

Analysis of Nitrogen and Phosphorus Pollution in Shenzhen Bay over the Past 40 Years

Based on 40 years of routine water quality monitoring data from Shenzhen Bay and special intensive monitoring since 2021, we analysed the spatiotemporal variations in nitrogen and phosphorus pollution. The results indicate serious levels of nitrogen and phosphorus pollution in Shenzhen Bay. Although recent trends show a decline in concentrations of inorganic nitrogen and reactive phosphate—with the annual average concentration of inorganic nitrogen dropping below 1.0 mg/L since 2020 and reactive phosphate levels near the bay mouth decreasing to approximately 0.020 mg/L—the overall water quality still does not meet China’s Class IV seawater quality standards. Additionally, water quality is poorer during the rainy season, with the average summer concentration of inorganic nitrogen being over 25% higher than in spring and autumn. The water quality is primarily influenced by land-sourced pollutants and tidal effects, generally, with the concentration of DIN and DIP decreased from the estuary of the Shenzhen River, the main seagoing river, to the bay mouth. Near the river’s mouth, concentrations of inorganic nitrogen and reactive phosphate are approximately six and four times higher, respectively, than those near the bay mouth. Due to current emission standards and sewage disposal methods, the proportion of nitrate nitrogen in DIN has significantly increased, exceeding 80% since 2020. To improve the water quality of Shenzhen Bay and to reduce pollution inputs, coordinated land and marine development activities are recommended.

New South Wales alcohol and other drug service providers' perceptions of the relative importance of client variables for determining treatment need.

This study examines alcohol and other drug (AOD) service providers' perceptions of the most important variables (client complexity and demographic) for determining treatment need and intensity of intervention. Online cross-sectional survey of N = 188 clinicians/service managers working in AOD services across metropolitan and regional/rural New South Wales, Australia. Participants ranked the importance of demographic and family factors, substance use, physical health, mental health, functioning and activities of daily living and youth-specific variables in identifying treatment need (five-point Likert scales). More than 90% of participants ranked 43 out 56 potential variables as 'very important'/'essential' in identifying treatment need. The 10 variables most ranked as 'very important'/'essential' were 'pregnant or breastfeeding' (95.2%), 'suicide/self-harm' (95.2%), 'overdose risk' (94.7%), 'abuse/neglect' (among youth/adolescent populations; 94.1%), 'mental health severity' (93.6%), 'dependent children' (93.1%), 'co-existing mental health concerns' (93.0%), 'hospitalisations due to mental health' (92.5%), 'child protection concerns' (among youth/adolescent populations; 92.2%) and 'disability' (91.5%). The 10 variables most commonly ranked as 'slightly important'/'not at all important' included 'citizenship' (63.3%), 'sex' (59.6%), 'country of birth' (54.8%), 'highest education' (50.0%), 'sexual orientation' (44.1%), 'relationship status' (33.5%), 'gender' (31.4%), 'transport' (28.2%), 'employment' (23.9%) and 'refugee status' (24.0%). Some ratings differed by geographic location (metropolitan vs. regional/rural) and job role (allied health worker, nurse, doctor or manager). This study provides insight into service providers' perceptions of treatment need and intensity associated with a range of client factors. It is a first step towards improvements in routine data collections that are used to inform treatment planning.

Exploring the association between phytopharmaceutical use and antibiotic prescriptions in upper respiratory infections: results from a German cohort study evaluating the impact of naturopathy qualifications of general practitioners using routine data.

Antibiotic resistance is a significant global health threat, exacerbated by inappropriate prescribing practices, particularly for upper respiratory infections that are predominantly viral. Complementary and Integrative Medicine (CIM), including the use of phytopharmaceuticals, offers a potential strategy to reduce antibiotic prescriptions. This study aimed to describe the impact of General Practitioners' (GPs) naturopathy (NP) qualifications and phytopharmaceutical prescriptions on the rate of antibiotic prescribing for upper respiratory infections (RTI). We conducted a retrospective cohort study using routine data from the CONTinuous morbidity registration Epidemiologic NeTwork (CONTENT), which includes over 200,000 patients across four federal states in Germany. The study included data from n = 36 GPs who recorded at least one ICD-10 diagnosis of RTI. Antibiotic and phytopharmaceutical prescriptions were identified and analyzed through mixed-effects logistic regression models to explore the influence of GPs' naturopathy qualifications and phytopharmaceutical use on antibiotic prescribing patterns. The study included 40,344 patients managed by 36 GPs. Prescriptions of phytopharmaceuticals significantly reduced the likelihood of antibiotic use (OR 0.48, 95% CI 0.45-0.52). Additionally, holding a naturopathy qualification was associated with lower rates of antibiotic prescriptions (OR 0.73, 95% CI 0.69-0.78). The interaction between naturopathy qualification and phytopharmaceutical prescriptions also showed a significant effect (OR 1.43, 95% CI 1.27-1.62). Patient's year of birth influenced prescribing patterns indicating a reduction of antibiotic prescriptions for younger patients, while patients' gender did not reveal a significant effect. Prescriptions of phytopharmaceuticals were significantly associated with a decrease antibiotic prescriptions among GPs, especially when combined with naturopathy qualifications. Training in naturopathic approaches could enhance antibiotic stewardship efforts in primary care settings, suggesting that broader integration of CIM elements into medical training could be beneficial in mitigating antibiotic resistance.

Secondary Bacterial Infections in Critically Ill COVID-19 Patients Admitted in the Intensive Care Unit of a Tertiary Hospital in Romania.

Background: The outbreak of the COVID-19 pandemic caught healthcare systems in many countries unprepared. Shortages of personnel, medicines, disinfectants, and intensive care unit (ICU) capacities, combined with inadvertent use of antibiotics and emergence of drug-resistant secondary infections, led to a surge in COVID-19-related mortality. Objective: We aimed to evaluate the prevalence of secondary bacterial infections and the associated antibiotic resistance in a temporary established ICU dedicated to COVID-19 patients. We also assessed the utility of clinical and routine laboratory data as predictors of secondary infections and mortality in these patients. Methods: We examined the medical records of 243 patients admitted to the COVID-19 Medical Support Unit of Târgu Mures, Romania, between 1 August 2020 and 31 January 2021. Results: Among the 243 patients admitted to the COVID-19 Medical Support Unit of Târgu Mures between 1 August 2020 and 31 January 2021, 59 (24.3%) presented secondary infections. Acinetobacter baumannii and Klebsiella pneumoniae were the most frequent isolates (31.1% and 18.9%, respectively), most of them multidrug resistant. Chronic obstructive pulmonary disease had a higher prevalence in patients who developed secondary infections (p = 0.012). Secondary infections were associated with longer stay in the ICU and with higher mortality (p = 0.006 and p = 0.038, respectively). Conclusions: Early identification of secondary infections and proper use of antibiotics are necessary to limit the spread of multidrug-resistant microorganisms in COVID-19 patients admitted in the ICU.