Improving Admission Medication Reconciliation Completion at GW Hospital

Background: Medication errors represent a major cause of adverse events in hospitalized inpatients. 27-83% of hospitalized patients will have at least one discrepancy in their medication history at admission, with 11%–59% of errors having clinical importance. Current processes for completing admission medication reconciliations are ill-defined, further increasing the risk of errors. Implementation of a standardized medication reconciliation process has led to a reduction in medication errors. Aim Statement: To increase the number of admission medication reconciliations completed within 48 hours of admission to GW Hospital by 25% over three months. Methods: From September 2017 until December 2017, an educational intervention was delivered to internal medicine residents rotating on the wards at GW Hospital and refined over three PDSA cycles. The intervention included an educational presentation on proper completion of an admission medication reconciliation, given at resident noon conference and to the night float team, a video by hospitalists reinforcing principles of proper medication reconciliation, and creation of a signoff checklist to assess interns for proper completion of medication reconciliations. The number of properly completed admission medication reconciliations within 48 hours of admission for patients admitted to one general medicine day team and to the night float team was assessed. Completion was denoted by green checkmarks next to “Document Medications by History” and “Medication Admission Reconciliation” in Cerner. Data was collected for all new admissions every post-call day and was expanded to an additional daytime team with PDSA Cycle 3. Results: Baseline data revealed that admission medication reconciliations were completed on 20% and 77% of new admissions to the daytime and night float teams, respectively. Completion rates by the day team varied from 16% to 100%, but with a clear trend towards improvement with over 50% completed on the days reviewed. Little change was observed on the night admission team. Expanded data from the additional daytime team showed improved completion rate. Discussion: Our study demonstrated that early provider education, adherence to a standardized process, and reinforced education are ways of improving admission medication reconciliation completion. There was an overall increase in admission medication reconciliation completion in the daytime medicine team, but not in the night float team, likely owing to the more frequent turnover of night float residents. Data collection was expanded to a second daytime medicine team and is ongoing with possible extension to all medicine wards teams. Limitations include provider turnover throughout our interventions, the inability to assess accuracy of completed medication reconciliations, and the varying experience with admission medication reconciliation completion among providers. Future interventions include education at intern orientation, reinforced with successful completion of a signoff checklist, and involvement of pharmacists

Positive relationships between association strength and phenotypic similarity characterize the assembly of mixed-species bird flocks worldwide

Competition theory predicts that local communities should consist of species that are more dissimilar than expected by chance. We find a strikingly different pattern in a multicontinent data set (55 presence-absence matrices from 24 locations) on the composition of mixed-species bird flocks, which are important sub-units of local bird communities the world over. By using null models and randomization tests followed by meta-analysis, we find the association strengths of species in flocks to be strongly related to similarity in body size and foraging behavior and higher for congeneric compared with noncongeneric species pairs. Given the local spatial scales of our individual analyses, differences in the habitat preferences of species are unlikely to have caused these association patterns; the patterns observed are most likely the outcome of species interactions. Extending group-living and social-information-use theory to a heterospecific context, we discuss potential behavioral mechanisms that lead to positive interactions among similar species in flocks, as well as ways in which competition costs are reduced. Our findings highlight the need to consider positive interactions along with competition when seeking to explain community assembly

Effects of a high-dose 24-h infusion of tranexamic acid on death and thromboembolic events in patients with acute gastrointestinal bleeding (HALT-IT): an international randomised, double-blind, placebo-controlled trial

Background: Tranexamic acid reduces surgical bleeding and reduces death due to bleeding in patients with trauma. Meta-analyses of small trials show that tranexamic acid might decrease deaths from gastrointestinal bleeding. We aimed to assess the effects of tranexamic acid in patients with gastrointestinal bleeding. Methods: We did an international, multicentre, randomised, placebo-controlled trial in 164 hospitals in 15 countries. Patients were enrolled if the responsible clinician was uncertain whether to use tranexamic acid, were aged above the minimum age considered an adult in their country (either aged 16 years and older or aged 18 years and older), and had significant (defined as at risk of bleeding to death) upper or lower gastrointestinal bleeding. Patients were randomly assigned by selection of a numbered treatment pack from a box containing eight packs that were identical apart from the pack number. Patients received either a loading dose of 1 g tranexamic acid, which was added to 100 mL infusion bag of 0·9% sodium chloride and infused by slow intravenous injection over 10 min, followed by a maintenance dose of 3 g tranexamic acid added to 1 L of any isotonic intravenous solution and infused at 125 mg/h for 24 h, or placebo (sodium chloride 0·9%). Patients, caregivers, and those assessing outcomes were masked to allocation. The primary outcome was death due to bleeding within 5 days of randomisation; analysis excluded patients who received neither dose of the allocated treatment and those for whom outcome data on death were unavailable. This trial was registered with Current Controlled Trials, ISRCTN11225767, and ClinicalTrials.gov, NCT01658124. Findings: Between July 4, 2013, and June 21, 2019, we randomly allocated 12 009 patients to receive tranexamic acid (5994, 49·9%) or matching placebo (6015, 50·1%), of whom 11 952 (99·5%) received the first dose of the allocated treatment. Death due to bleeding within 5 days of randomisation occurred in 222 (4%) of 5956 patients in the tranexamic acid group and in 226 (4%) of 5981 patients in the placebo group (risk ratio [RR] 0·99, 95% CI 0·82–1·18). Arterial thromboembolic events (myocardial infarction or stroke) were similar in the tranexamic acid group and placebo group (42 [0·7%] of 5952 vs 46 [0·8%] of 5977; 0·92; 0·60 to 1·39). Venous thromboembolic events (deep vein thrombosis or pulmonary embolism) were higher in tranexamic acid group than in the placebo group (48 [0·8%] of 5952 vs 26 [0·4%] of 5977; RR 1·85; 95% CI 1·15 to 2·98). Interpretation: We found that tranexamic acid did not reduce death from gastrointestinal bleeding. On the basis of our results, tranexamic acid should not be used for the treatment of gastrointestinal bleeding outside the context of a randomised trial

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic

Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

This online publication has been corrected. The corrected version first appeared at thelancet.com on September 28, 2023BACKGROUND : Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. METHODS : Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. FINDINGS : In 2021, there were 529 million (95% uncertainty interval [UI] 500–564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8–6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7–9·9]) and, at the regional level, in Oceania (12·3% [11·5–13·0]). Nationally, Qatar had the world’s highest age-specific prevalence of diabetes, at 76·1% (73·1–79·5) in individuals aged 75–79 years. Total diabetes prevalence—especially among older adults—primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1–96·8) of diabetes cases and 95·4% (94·9–95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5–71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5–30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22–1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1–17·6) in north Africa and the Middle East and 11·3% (10·8–11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. INTERPRETATION : Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers.Bill & Melinda Gates Foundation.http://www.thelancet.comam2024School of Health Systems and Public Health (SHSPH)SDG-03:Good heatlh and well-bein

Colistin Dosing and Nephrotoxicity in a Large Community Teaching Hospital ▿

Thirty adult patients who received intravenous colistin (5.1 ± 2.4 mg/kg/day) were reviewed to evaluate dosing with respect to nephrotoxicity, which occurred in 10 (33%) patients within the first 5 days of treatment. Excessive colistin dosing was frequent (47%), often (71%) resulted from the use of actual body weight in obese patients, and was associated with higher rates of nephrotoxicity (80% versus 30%, P = 0.019)

Improving HIV Screening Rates at an Academic Teaching Institution Internal Medicine Resident Clinic

Introduction: Human immunodeficiency virus (HIV) affects over a million individuals in the United States. Thirteen percent of people with HIV don’t know they have the virus. Washington DC has among the highest rates of HIV in the nation. An important step in the fight against HIV is screening tests, which everyone is recommended to have at least once in his/her life. The goal of this study is go increase HIV screening during annual physical examinations at the George Washington University Internal Medicine Residents Clinic by 25%. Methods: We performed a retrospective chart review of all patients who presented for annual physical examination from July 2016 to January 2017. Rates of HIV screening were determined by search for any laboratory record of an HIV test or documentation by the provider in the clinic visit note. Baseline rates were determined and rates after four subsequent interventions (PDSA cycles) aimed to increase screening rates: email reminders, macro utilization education, patient education posters in rooms, and pocket cards of recommended screening guidelines for residents. Results: Baseline data revealed that 67.6% of patients had ever had HIV screening. In order to meet our predetermined goal of a 25% increase in screening rates, rates would need to increase to 85% of patients. Post-intervention #1 (email reminder to providers), the rate was 64.8%. Post-intervention #2 (macro utilization education), the rate was 69.6%. Post-intervention #3 (posters in patient rooms), the rate was 77.0%. Preliminary results for post-intervention #4 (pocket cards of recommended screening guidelines for residents), the rate was 90%, though a final numbers of this last intervention are still pending analysis. Discussion: HIV screening is a known effective tool in preventing the spread of sexual transmitted diseases. In addition to patient education, focusing on reminding providers of this importance is essential to increasing the rates of testing. Our study demonstrated that direct patient education/exposure and reminder tools for physicians are two possible ways to increase the rate of HIV screening. While preliminary data shows promise in provider reminders such as pocket cards, final analysis of this effect is currently underway. The effects are compounded and do not reflect any single intervention at a time, demonstrating the importance of a multi-focal approach towards increasing screening rates

Implementation and evaluation of a large-scale postpartum family planning program in Rwanda: Study protocol for a clinic-randomized controlled trial

Background: Though the Rwandan Ministry of Health (MOH) prioritizes the scale-up of postpartum family planning (PPFP) programs, uptake and sustainability of PPFP services in Rwanda are low. Furthermore, highly effective long-acting reversible contraceptive method use (LARC), key in effective PPFP programs, is specifically low in Rwanda. We previously pilot tested a supply-demand intervention which significantly increased the use of postpartum LARC (PPLARC) in Rwandan government clinics. In this protocol, we use an implementation science framework to test whether our intervention is adaptable to large-scale implementation, cost-effective, and sustainable. Methods: In a type 2 effectiveness-implementation hybrid study, we will evaluate the impact of our PPFP intervention on postpartum LARC (PPLARC) uptake in a clinic-randomized trial in 12 high-volume health facilities in Kigali, Rwanda. We will evaluate this hybrid study using the RE-AIM framework. The independent effectiveness of each PPFP demand creation strategy on PPLARC uptake among antenatal clinic attendees who later deliver in a study facility will be estimated. To assess sustainability, we will assess the intervention adoption, implementation, and maintenance. Finally, we will evaluate intervention cost-effectiveness and develop a national costed implementation plan. Discussion: Adaptability and sustainability within government facilities are critical aspects of our proposal, and the MOH and other local stakeholders will be engaged from the outset. We expect to deliver PPFP counseling to over 21,000 women/couples during the project period. We hypothesize that the intervention will significantly increase the number of stakeholders engaged, PPFP providers and promoters trained, couples/clients receiving information about PPFP, and PPLARC uptake comparing intervention versus standard of care. We expect PPFP client satisfaction will be high. Finally, we also hypothesize that the intervention will be cost-saving relative to the standard of care. This intervention could dramatically reduce unintended pregnancy and abortion, as well as improve maternal and newborn health. Our PPFP implementation model is designed to be replicable and expandable to other countries in the region which similarly have a high unmet need for PPFP. Trial registration: ClinicalTrials.gov NCT05056545. Registered on 31 March 2022