Quality Indicators of Pediatric Asthma Care in the Emergency Department; a Systematic Review and Meta-Analysis.

Introduction: The quality of healthcare for pediatric asthma patients in the emergency department (ED) is of growing importance. This systematic review aimed to identify and describe existing quality indicators (QIs) designed for use in the ED for pediatric asthma care. Methods: We systematically searched three main electronic databases in May 2023 for all English-language qualitative and quantitative publications that suggested or described at least one QI related to pediatric asthma care in the ED. Two reviewers independently selected the included studies and extracted data on study characteristics, all relevant QIs reported, and the rates of compliance with these indicators when available. The identified QIs were classified according to Donabedian healthcare quality framework and the Institute of Medicine (IOM) framework. When feasible, we aggregated the compliance rates for the QIs reported in observational studies using random effects models. The quality assessment of the included studies was performed using various Joanna Briggs Institute (JBI) tools. Results: We identified twenty studies, including six expert panels, 13 observational studies, and one trial. Together, these studies presented 129 QIs for use in EDs managing pediatric asthma. Among these QIs, 66 were pinpointed by expert panel studies, whereas 63 were derived from observational studies. Within the Donabedian framework, most indicators (86.8%) concentrated on the process of care. In contrast, within the Institute of Medicine (IOM) domain, the predominant focus was on indicators related to effectiveness and safety. Observational studies reported varying compliance rates for the 36 QIs identified in the expert studies. The included studies showed a wide range of bias risks, suggesting potential methodological variances. Conclusions: A significant number of QIs in pediatric asthma care have been proposed or documented in literature. Although most of these indicators prioritize the process of care, there is a conspicuous absence of outcome and structure indicators. This meta-analysis uncovered significant disparities in compliance to the identified QIs, highlighting the urgent necessity for targeted interventions to enhance pediatric asthma care in ED.

Assessment and prognostic significance of a serum cytokine panel in diffuse large B­cell lymphoma.

The objective of the present study was to assess the levels of circulating cytokines in patients with diffuse large B-cell lymphoma (DLBCL), and to examine the associations between the cytokine levels, clinicopathological manifestations and patient prognosis. The study enrolled 49 patients with DLBCL, 11 patients with chronic lymphocytic leukemia/small lymphocytic lymphoma and 67 healthy controls from Zhejiang Provincial People's Hospital (Hangzhou, China) between January 2017 and January 2020. The serum levels of interleukin (IL)-2, IL-4, IL-6, IL-10, IL-17, tumor necrosis factor (TNF)-α and interferon (IFN)-γ were measured using flow cytometry. The IL-6, IL-10 and IFN-γ levels were significantly raised in patients with DLBCL compared with those in the healthy controls (P<0.05). The levels of IL-10 were significantly higher in patients with raised levels of circulating lactate dehydrogenase (P<0.05), while increases in both IL-6 and IL-10 were associated with raised C-reactive protein (CRP) levels, with IL-6 levels positively associated with those of serum CRP (P<0.01; r=0.66). Additionally, International Prognostic Index (IPI) risk stratification of patients with DLBCL was strongly associated with circulating IL-6 and IL-10 levels. Raised IL-6, IL-10 and TNF-α levels were linked with worse short-term treatment efficacies (P<0.05). Moreover, the accuracy of the model predicting short-term treatment response in patients with DLBCL, obtained using the support vector machine algorithm, was 81.63%. It was also found that raised serum IL-6 and IL-10 levels, together with reduced levels of IL-17, were associated with survival of <1 year in patients with DLBCL (P<0.05), although no significant link was found between cytokine levels and long-term overall survival. In conclusion, the serum levels of IL-6, IL-10, IL-17, TNF-α and IFN-γ can potentially serve as biological indicators of DLBCL tumor immune status, and combined application with the IPI score can be a robust prognostic indicator in patients with DLBCL.

Comprehensive assessment of drought resistance and recovery in kiwifruit genotypes using multivariate analysis.

As global climate change persists, ongoing warming exposes plants, including kiwifruit, to repeated cycles of drought stress and rewatering, necessitating the identification of drought-resistant genotypes for breeding purposes. To better understand the physiological mechanisms underlying drought resistance and recovery in kiwifruit, moderate (40-45% field capacity) and severe (25-30% field capacity) drought stresses were applied, followed by rewatering (80-85% field capacity) to eight kiwifruit rootstocks in this study. We then conducted a multivariate analysis of 20 indices for the assessment of drought resistance and recovery capabilities. Additionally, we identified four principal components, each playing a vital role in coping with diverse water conditions. Three optimal indicator groups were pinpointed, enhancing precision in kiwifruit drought resistance and recovery assessment and simplifying the evaluation system. Finally, MX-1 and HW were identified as representative rootstocks for future research on kiwifruit's responses to moderate and severe drought stresses. This study not only enhances our understanding of the response mechanisms of kiwifruit rootstocks to progressive drought stress and recovery but also provides theoretical guidance for reliable screening of drought-adaptive kiwifruit genotypes.

Sustainable Approach to Justice, Equity, Diversity, and Inclusion Through Better Quality Measurement.

The US health care industry has broadly adopted performance and quality measures that are extracted from electronic health records and connected to payment incentives that hope to improve declining life expectancy and health status and reduce costs. While the development of a quality measurement infrastructure based on electronic health record data was an important first step in addressing US health outcomes, these metrics, reflecting the average performance across diverse populations, do not adequately adjust for population demographic differences, social determinants of health, or ecosystem vulnerability. Like society as a whole, health care must confront the powerful impact that social determinants of health, race, ethnicity, and other demographic variations have on key health care performance indicators and quality metrics. Tools that are currently available to capture and report the health status of Americans lack the granularity, complexity, and standardization needed to improve health and address disparities at the local level. In this article, we discuss the current and future state of electronic clinical quality measures through a lens of equity.

Building conceptual and methodological bridges between SSE's Diversity, Equity, and Inclusion statement and educational actions in evolutionary biology.

The field of evolutionary biology must bridge the gap between its diversity, equity, and inclusion (DEI) commitments and data-driven educational actions in the nation's undergraduate classrooms and degree programs. In this paper we discuss the urgent need for the adoption of equity frameworks and discuss why they are centrally important to data-driven DEI efforts in evolutionary biology. We describe why equity indicators (e.g., measures) must be anchored in and aligned with equity frameworks. We introduce a specific equity framework for learning (the enhanced educational debt framework) and illustrate how it may be leveraged to document, interpret, and improve outcomes in evolutionary biology. We apply the equity framework and associated indicators to >3500 students' first college-level experience with evolutionary biology at a public, 4-year institution in Northeastern United States to demonstrate how these conceptual tools and empirical perspectives may be used by faculty, departments, and degree programs to better understand their roles in mitigating or perpetuating inequities. We end by discussing how this framework may be applied to a range of evolution concepts and courses in the educational hierarchy and used to help evolutionary biologists better understand the extent to which a core aspect of SSE's diversity statement is being realized.

Examining interrater agreement between self-report and proxy-report responses for the quality of life-aged care consumers (QOL-ACC) instrument.

BACKGROUND: Quality of life is an important quality indicator for health and aged care sectors. However, self-reporting of quality of life is not always possible given the relatively high prevalence of cognitive impairment amongst older people, hence proxy reporting is often utilised as the default option. Internationally, there is little evidence on the impact of proxy perspective on interrater agreement between self and proxy report. OBJECTIVES: To assess the impacts of (i) cognition level and (ii) proxy perspective on interrater agreement using a utility instrument, the Quality of Life-Aged Care Consumers (QOL-ACC). METHODS: A cross-sectional study was undertaken with aged care residents and family member proxies. Residents completed the self-report QOL-ACC, while proxies completed two proxy versions: proxy-proxy perspective (their own opinion), and proxy-person perspective (how they believe the resident would respond). Interrater agreement was assessed using quadratic weighted kappas for dimension-level data and concordance correlation coefficients and Bland-Altman plots for utility scores. RESULTS: Sixty-three residents (22, no cognitive impairment; 41, mild-to-moderate cognitive impairment) and proxies participated. In the full sample and in the mild-to-moderate impairment group, the mean self-reported QOL-ACC utility score was significantly higher than the means reported by proxies, regardless of perspective (p < 0.01). Agreement with self-reported QOL-ACC utility scores was higher when proxies adopted a proxy-person perspective. CONCLUSION: Regardless of cognition level and proxy perspective, proxies tend to rate quality of life lower than residents. Further research is needed to explore the impact of such divergences for quality assessment and economic evaluation in aged care.

Assessment of TUFT1 and Rac1-GTP levels in triple-negative breast cancer patients: clinical and pathological correlations.

OBJECTIVE: The primary goal of this study was to investigate the expressions of TUFT1 (Tuftelin) and Rac1-GTP in the cancerous tissues of individuals with triple-negative breast cancer (TNBC). Additionally, we aimed to explore the correlation between TUFT1 and Rac1-GTP expressions and examine the associations of TUFT1 and Rac1-GTP expressions with the clinical and pathological indicators of the patients. METHODS: Ninety-six patients diagnosed with TNBC, scheduled for surgery between May 2022 and November 2022, were enrolled in this study. Cancerous tissue specimens were collected from these patients, and immunohistochemistry was employed to evaluate the levels of TUFT1 and Rac1-GTP expressions in the cancerous tissues. Subsequent to data collection, a comprehensive analysis was conducted to examine the correlation between TUFT1 and Rac1-GTP expressions. Furthermore, we sought to assess the associations of TUFT1 and Rac1-GTP expressions with the clinical and pathological indicators of the patients. RESULTS: The TUFT1 protein was expressed in both the membrane and cytoplasm of TNBC cancer cells, with notably higher expression observed in the cytoplasm. Rac1-GTP was primarily expressed in the cytoplasm. There was a positive correlation between the levels of TUFT1 and Rac1-GTP expressions (χ2 = 9.816, P < 0.05). The levels of TUFT1 and Rac1-GTP protein expressions showed no correlation with patient age (χ2 = 2.590, 2.565, P > 0.05); however, they demonstrated a positive correlation with tumor size (χ2 = 5.592,5.118), histological grading (χ2 = 6.730, 5.443), and lymph node metastasis (χ2 = 8.221, 5.180) (all with a significance level of P < 0.05). CONCLUSION: A significant correlation was identified between the levels of TUFT1 and Rac1-GTP expressions in the cancerous tissues of patients with TNBC, suggesting a close association with the progression of TNBC. The two molecules play significant roles in facilitating an early diagnosis and treatment of TNBC.

Indigenous Identity and Household Food Insecurity are Associated with Poor Health Outcomes in Canada.

Purpose: To examine whether Indigenous identity and food insecurity combined were associated with self-reported poor health.Methods: Data from the 2015-2016 Canadian Community Health Survey and multiple logistic regression were employed to evaluate the association between Indigenous identity, household food insecurity, and health outcomes, adjusted for individual and household covariates. The Alexander Research Committee in Alexander First Nation (Treaty 6) reviewed the manuscript and commented on the interpretation of study findings.Results: Data were from 59082 adults (3756 Indigenous). The prevalence of household food insecurity was 26.3% for Indigenous adults and 9.8% for non-Indigenous adults (weighted to the Canadian population). Food-secure Indigenous adults, food-insecure non-Indigenous adults, and food-insecure Indigenous adults had significantly (p < 0.001) greater odds of poor health outcomes than food-secure non-Indigenous adults (referent group). Food-insecure Indigenous adults had 1.96 [95% CI:1.53,2.52], 3.73 [95% CI: 2.95,4.72], 3.00 [95% CI:2.37,3.79], and 3.94 [95% CI:3.02,5.14] greater odds of a chronic health condition, a chronic mental health disorder, poor general health, and poor mental health, respectively, compared to food-secure non-Indigenous adults.Conclusions: Health policy decisions and programs should focus on food security initiatives for all Canadians, including addressing the unique challenges of Indigenous communities, irrespective of their food security status.

Assessment of Ecosystem Services Provided by Macrophytes in Southern Baltic and Southern Mediterranean Coastal Lagoons.

The ecological importance of macrophytes is well known and reflected in nature protection law, for example, as a key biological quality element. However, the socio-economic role, such as the impact of macrophyte presence on recreational activities, is often overlooked. The purpose of this study was to assess the human benefits (or ecosystem services) provided by macrophytes. We developed a list of 25 macrophyte ecosystem services and 79 assessment indicators based on expert knowledge and literature data. First, hypothetical scenarios of coastal lagoons were developed to assess the impact of different ecological states (i.e., macrophyte coverage) and management measures (i.e., fisheries) on the ecosystem service provision. Scenario assessments were carried out by stakeholder workshops and literature search. Second, the ecosystem service potential of submerged and emergent macrophyte habitats were assessed by macrophyte experts and literature data. Results showed that cultural services are most important in terms of the overall actual provision of ecosystem services (scenario assessment) but also showing highest potential of the hypothetical ecosystem service provision (habitat assessment). Highest overall potential is shown for reeds and tall forb communities (83 out of maximum 125), followed by seagrass beds (71) and seaweed communities (61). Our ecosystem service assessment approaches (i.e., scenario and habitat-based) using socio-cultural data (i.e., stakeholders and experts-based) and biophysical data (i.e., indicators-based) can serve as supportive tools for coastal management and policy implementation visualizing the benefits of macrophytes to humans.

Revealing the Mysteries of Population Mobility Amid the COVID-19 Pandemic in Canada: Comparative Analysis With Internet of Things-Based Thermostat Data and Google Mobility Insights.

BACKGROUND: The COVID-19 pandemic necessitated public health policies to limit human mobility and curb infection spread. Human mobility, which is often underestimated, plays a pivotal role in health outcomes, impacting both infectious and chronic diseases. Collecting precise mobility data is vital for understanding human behavior and informing public health strategies. Google's GPS-based location tracking, which is compiled in Google Mobility Reports, became the gold standard for monitoring outdoor mobility during the pandemic. However, indoor mobility remains underexplored. OBJECTIVE: This study investigates in-home mobility data from ecobee's smart thermostats in Canada (February 2020 to February 2021) and compares it directly with Google's residential mobility data. By assessing the suitability of smart thermostat data, we aim to shed light on indoor mobility patterns, contributing valuable insights to public health research and strategies. METHODS: Motion sensor data were acquired from the ecobee "Donate Your Data" initiative via Google's BigQuery cloud platform. Concurrently, residential mobility data were sourced from the Google Mobility Report. This study centered on 4 Canadian provinces-Ontario, Quebec, Alberta, and British Columbia-during the period from February 15, 2020, to February 14, 2021. Data processing, analysis, and visualization were conducted on the Microsoft Azure platform using Python (Python Software Foundation) and R programming languages (R Foundation for Statistical Computing). Our investigation involved assessing changes in mobility relative to the baseline in both data sets, with the strength of this relationship assessed using Pearson and Spearman correlation coefficients. We scrutinized daily, weekly, and monthly variations in mobility patterns across the data sets and performed anomaly detection for further insights. RESULTS: The results revealed noteworthy week-to-week and month-to-month shifts in population mobility within the chosen provinces, aligning with pandemic-driven policy adjustments. Notably, the ecobee data exhibited a robust correlation with Google's data set. Examination of Google's daily patterns detected more pronounced mobility fluctuations during weekdays, a trend not mirrored in the ecobee data. Anomaly detection successfully identified substantial mobility deviations coinciding with policy modifications and cultural events. CONCLUSIONS: This study's findings illustrate the substantial influence of the Canadian stay-at-home and work-from-home policies on population mobility. This impact was discernible through both Google's out-of-house residential mobility data and ecobee's in-house smart thermostat data. As such, we deduce that smart thermostats represent a valid tool for facilitating intelligent monitoring of population mobility in response to policy-driven shifts.

Towards circular economy indicators: Evidence from the European Union.

The European Union (EU) is moving towards sustainable development, and a key role is played by circular economy (CE) models geared towards reducing pressure on natural resources, generating jobs and fostering economic opportunities. Indicators are able to aggregate a variety of information and their use, through the use of multi-criteria decision analysis (MCDA), allows the performance of alternatives to be monitored. This work aims to calculate the performance of the EU27 in the years 2019 and 2020 according to 15 CE indicators available on Eurostat. The results of the Analytic Hierarchy process show that the greatest impact on circularity is determined by the category 'competitiveness and innovation', which together with the category 'global sustainability and resilience' accounts for two thirds of the overall weight. The MCDA results show that Belgium prevails in both the baseline and alternative scenarios, ahead of Italy and the Netherlands respectively. In general, circular policies see western European countries excel, while the performance of eastern European countries is weaker. The implications of this work highlight the three main barriers to the development of CE models: (i) illegal waste management; (ii) lack of knowledge and low level of investment in circular technologies and (iii) low distribution of value among stakeholders. In this way, resource management based on circularity will enable Europe to meet the challenges of sustainability with less dependence on imported raw materials.

Comparative assessment of two circularity indicators for the case of reusable versus single-use secondary packages for fresh foods in Spain.

Sustainable packaging is a crucial focus in the context of circular economy efforts. This study evaluates the circularity of two secondary packaging systems used in Spanish fresh food produces: Reusable Plastic Crates and Single-use Cardboard Boxes. A Mass Flow Analysis was performed to assess the material flows in the production and use phases of both systems and two circular indicators were applied: the Material Circularity Indicator and Product Circular Indicator. While most previous studies for single-use packaging use these indicators at the product level, this study applies a system approach since the Reusable Plastic Crates can be reused 100 times. The functional unit was defined as the distribution of 1000 tonnes of fresh products, resulting in the distribution of 6,666,700 packages with 15 kg of products. The Material Circularity Indicator and Product Circular Indicator results show that Reusable Plastic Crates are more circular than Single-use Cardboard Boxes. The Product Circular Indicator provides a more comprehensive assessment of circularity by considering multiple life cycle stages, efficiency, and unrecoverable waste, resulting in a difference in circularity evaluations. The indicators used have limitations as they do not consider the resource stock. Further research is needed to explore this aspect.

How Socio-economic Inequalities Cluster People with Diabetes in Malaysia: Geographic Evaluation of Area Disparities Using a Non-parameterized Unsupervised Learning Method.

Accurate assessments of epidemiological associations between health outcomes and routinely observed proximal and distal determinants of health are fundamental for the execution of effective public health interventions and policies. Methods to couple big public health data with modern statistical techniques offer greater granularity for describing and understanding data quality, disease distributions, and potential predictive connections between population-level indicators with areal-based health outcomes. This study applied clustering techniques to explore patterns of diabetes burden correlated with local socio-economic inequalities in Malaysia, with a goal of better understanding the factors influencing the collation of these clusters. Through multi-modal secondary data sources, district-wise diabetes crude rates from 271,553 individuals with diabetes sampled from 914 primary care clinics throughout Malaysia were computed. Unsupervised machine learning methods using hierarchical clustering to a set of 144 administrative districts was applied. Differences in characteristics of the areas were evaluated using multivariate non-parametric test statistics. Five statistically significant clusters were identified, each reflecting different levels of diabetes burden at the local level, each with contrasting patterns observed under the influence of population-level characteristics. The hierarchical clustering analysis that grouped local diabetes areas with varying socio-economic, demographic, and geographic characteristics offer opportunities to local public health to implement targeted interventions in an attempt to control the local diabetes burden.

Caries risk assessment by Caries Management by Risk Assessment (CAMBRA) Protocol among the general population of Pakistan-a multicenter analytical study.

Background: Caries risk (CR) assessment tools are used to properly identify individuals with caries risk and to improve preventive procedures and programs. A tool such as CAMBRA determines the precise protective factors of caries and identifies an individual's specific therapeutic intervention. The purpose of this study was to assess the caries risk using the CAMBRA protocol among the general population of Pakistan. Methods: This multicentre analytical study was conducted in ten dental hospitals in different provinces of Pakistan and the caries risk assessment was carried out using a questionnaire that was designed using the Caries Management by Risk Assessment (CAMBRA) protocol. All 521 participants were intra-orally examined to assess oral hygiene status and the presence of disease. Multiple logistic regression test was performed for analysis. Results: A higher number of participants (61.2%) were found to be in the moderate risk category of caries risk assessment. The males are 51% less likely to have caries compared to the females (AOR = 0.49, P = 0.081). The majority of participants (71.3%) had one or more disease indicators, with white spots and visible cavities. Those with visible, heavy plaque were 13.9 times more likely to have caries compared to those without (AOR = 13.92, P < 0.001). Those using calcium and phosphate during the last 6 months were 90% less likely to have caries compared to those not using them (AOR = 0.10, P < 0.001). There was no significant interaction between all eight risk factors retained in the final model (P > 0.05), the Hosmer and Lemeshow Test P < 0.001, classification accuracy = 87.1%, and AUC = 91.2%. Conclusion: The caries risk among the general population of Pakistan is moderate, with significant variation among age groups, education levels, and socioeconomic status.

The international Family Affluence Scale (FAS): Charting 25 years of indicator development, evidence produced, and policy impact on adolescent health inequalities.

In the absence of suitable indicators of adolescent socioeconomic status, the Family Affluence Scale (FAS) was first developed in Scotland 25 years ago. Since then, it has been adapted for use in the Health Behaviour in School-Aged Children (HBSC) Study to research inequalities in adolescent health in Europe and North America. FAS has also been used as an indicator of adolescent socioeconomic status in research studies outside of HBSC, worldwide. There has been a need for FAS to evolve and change its component items over time in order to take into account social and technological changes influencing the families of adolescents. This paper uniquely charts the development of FAS describing the methodological work carried out to validate the measure internationally and over time. It also presents an overview of the body of evidence on adolescent health inequalities produced over years from the HBSC Study and other research studies. Interviews conducted with policy stakeholders reveal that the evidence from FAS-related HBSC work has influenced their strategic work to raise awareness of inequalities and make the case for action to address these. Finally, the future of FAS is discussed with respect to its continual evolution in the context of technological, environmental and social change.

An assessment of the index of rational drug prescribing for severe acute respiratory infections among hospitalised children in Northern Nigeria: a retrospective study.

BACKGROUND: This study evaluated drug use pattern among hospitalized children with severe acute respiratory infection (SARI) in Nigeria. RESEARCH DESIGN AND METHODS: A retrospective assessment of prescribed medicines for children aged 13 years and below who were admitted and treated for SARI from 1 January 2016 to 31 December 2018 was conducted. The WHO prescribing indicators and the Index of Rational Drug Prescribing were used to evaluate prescriptions. RESULTS: A total of 259 patients were included, mostly diagnosed with bronchopneumonia (56%). A summary of WHO-core prescribing indicators showed the average number of drugs per encounter was 3.9, medicines prescribed by generic name was 82.1%, and an encounter with at least an antibiotic was 99.7%. The percentage of drugs prescribed from the Essential Medicine List for children was 79%. The most frequently prescribed pharmacological class of medicines was antibiotics (41.4%). Cephalosporins (40.0%), aminoglycosides (34.1%), and penicillins (21.5%) were the most commonly prescribed antibiotic classes. Gentamicin (34.1%) and cefuroxime (21.5%) were the most commonly prescribed antibiotics. CONCLUSIONS: Drug prescribing for hospitalized children with SARI was suboptimal, especially with regard to polypharmacy, antibiotics, and injection use. Interventions to promote rational use of medicines including antimicrobial stewardship interventions are recommended.

Indicators and characteristics of PET packaging collected in a Deposit and Refund System pilot project.

Countries that have a Deposit and Refund System (DRS) show high rates of selective beverage packaging waste collection, indicating that it is a powerful economic instrument for achieving the European packaging recycling targets. DRS ensure that collected material is of a sufficiently high quality to be incorporated into new products. In Portugal, the Government has decided to implement a DRS for non-reusable beverage packaging as a strategy to increase the packaging recycling rate, which is currently considerably lower than the mandatory European targets. To acquire knowledge and experience for the design and implementation of the future DRS, a pilot project was carried out with polyethylene terephthalate (PET) beverage packaging, using 23 Reverse Vending Machines (RVM) installed at supermarkets across mainland Portugal. The authors monitored the DRS pilot project between March 2020 and December 2022. The main objectives were to determine operational indicators and evaluate the characteristics and quality of the PET deposited, using both the data recorded by the RVM and a characterisation of the packages contained in a sample of 46 bags. The results provided important data for planning the Portuguese strategy, which may also support operational or political decisions in countries in similar contexts. Whilst the recycling plants that received the material collected in these RVM confirmed that its quality allows for the production of PET food-grade flakes, this research identified a need to improve the design of packaging and to communicate this with producers, to better allow for the incorporation of recycled material into food beverage packaging.

Assessment of Quality of Diabetic Care in Teaching Hospitals in Ethiopia: In Comparison to International Guidelines.

Background: Comprehensive high quality of care is critical in preventing diabetic complications and improving quality of life. This needs compliance with guidelines and focused therapy. There is no data in Ethiopia evaluating the quality of diabetes care using standard guidelines (American diabetic association and international diabetic federation) as a reference. Methods: A cross-sectional study was conducted at Yekatit 12 Hospital Medical College (YHMC) to assess the process and outcome quality indicators of diabetic patients. Data were collected from outpatient clinics between May and July 2022 over a period of 3 months. Diabetic patients with at least one year since diagnosis were selected using systematic random sampling. Both the process and outcome of diabetic quality care indicators were measured and compared with standard guidelines (ADA and IDF). Both descriptive statistics and logistic regression were used for data analysis. The P-value <0.05 was used as statistical significance. Results: About 250 diabetic patients with a mean age of 53±15 were included. The majority were type 2 diabetes mellitus (83.2%). HbA1c was determined for 128 (51.2%) patients with the recent mean value of 8±1.6. Only 52 (40.6%) of patients achieved target HbA1c. Annual comprehensive feet examination, urine albuminuria test, and retinal examination were done for 54 (21.6%), 52 (20.8%), and 122 (48.8%), respectively. Single marital status (AOR = 5.76; 95% CI; 1.02-32.36) P = 0.047, determining HbA1c level at least twice a year (AOR = 6.27; 95% CI; 2.18-17.73) P = 0.001, and medication adherence (AOR = 7.1; 95% CI; 2.61-19.01)P = 0.001, were significantly associated with good glycemic control. Conclusion: The overall quality of diabetic care was found suboptimal both in process and outcome quality indicators. Thus, awareness creation about quality indicators for caregivers, compliance with guidelines, wise resource utilization, and cooperation with different stakeholders like hospital management teams, and government officials is needed.

Racial and ethnic differences in uncontrolled diabetes mellitus among adults taking antidiabetic medication.

AIM: To examine whether racial and ethnic disparities in uncontrolled type 2 diabetes mellitus (T2DM) persist among those taking medication and after accounting for other demographic, socioeconomic, and health indicators. METHODS: Adults aged ≥20 years with T2DM using prescription diabetes medication were among participants assessed in a retrospective cohort study of the National Health and Nutrition Examination Survey 2007-2018. We estimated weighted sequential multivariable logistic regression models to predict odds of uncontrolled T2DM (HbA1c ≥ 8%) from racial and ethnic identity, adjusting for demographic, socioeconomic, and health indicators. RESULTS: Of 3649 individuals with T2DM who reported taking medication, 27.4% had uncontrolled T2DM (mean HgA1c 9.6%). Those with uncontrolled diabetes had a mean BMI of 33.8, age of 57.3, and most were non-Hispanic white (54%), followed by 17% non-Hispanic Black, and 20% Hispanic identity. In multivariable analyses, odds of uncontrolled T2DM among those with Black or Hispanic identities lessened, but persisted, after accounting for other indicators (Black OR 1.38, 97.5% CI: 1.04, 1.83; Hispanic OR 1.79, 97.5% CI 1.25, 2.57). CONCLUSIONS: Racial and ethnic disparities in T2DM control persisted among individuals taking medication. Future research might focus on developmental and epigenetic pathways of disparate T2DM control across racially and ethnically minoritized populations.

Social poverty indicators with school bullying victimization: evidence from the global school-based student health survey (GSHS).

BACKGROUND: School bullying is prevalent in children and adolescents. Bullying victims are seen higher risk of negative psychological outcomes. Previously published studies suggested that social indicators may pose significant influence on bullying victimization. However, the association between social poverty and bullying victimization has not been exclusively discussed. METHODS: In this cross-sectional study, we analyzed the association between 6 commonly used social poverty indicators (Poverty Headcount Ratio, PHR; Poverty Gap, PG; Squared Poverty Gap, SPG; monthly household per capita income, PCI; Watts' Poverty Index, WPI; the Gini Index, Gini) and the prevalence of school bullying at country level by using the Global school-based Student Health Survey (GSHS) database. RESULTS: Altogether 16 countries were included into the final analysis, with school bullying victimization prevalence ranged from 12.9 to 47.5%. Bubble plots revealed statistically significant associations between the three indicators measuring absolute poverty level (PHR, PCI, WPI) and bullying victimization. Subsequently performed principal component regression indicated that, for all types of bullying victimization, the increase of absolute poverty level was related to elevated prevalence rates, and the association was particularly strong for verbal bullying victimization. CONCLUSIONS: Our study results may suggest that absolute social poverty is an important parameter for constructing and implementing school bullying victimization intervention strategies and measures.