Postpartum hemorrhage in electronic health records: risk factors at admission and in-hospital occurrence.

Objective: Postpartum hemorrhage (PPH) is the leading cause of maternal death globally. Therefore, prevention strategies have been created. The study aimed to evaluate the occurrence of PPH and its risk factors after implementing a risk stratification at admission in a teaching hospital. Methods: A retrospective cohort involving a database of SISMATER® electronic medical record. Classification in low, medium, or high risk for PPH was performed through data filled out by the obstetrician-assistant. PPH frequency was calculated, compared among these groups and associated with the risk factors. Results: The prevalence of PPH was 6.8%, 131 among 1,936 women. Sixty-eight (51.9%) of them occurred in the high-risk group, 30 (22.9%) in the medium-risk and 33 (25.2%) in the low-risk group. The adjusted-odds ratio (OR) for PPH were analyzed using a confidence interval (95% CI) and was significantly higher in who presented multiple pregnancy (OR 2.88, 95% CI 1.28 to 6.49), active bleeding on admission (OR 6.12, 95% CI 1.20 to 4.65), non-cephalic presentation (OR 2.36, 95% CI 1.20 to 4.65), retained placenta (OR 9.39, 95% CI 2.90 to 30.46) and placental abruption (OR 6.95, 95% CI 2.06 to 23.48). Vaginal delivery figured out as a protective factor (OR 0.58, 95% CI 0.34 to 0.98). Conclusion: Prediction of PPH is still a challenge since its unpredictable factor arrangements. The fact that the analysis did not demonstrate a relationship between risk category and frequency of PPH could be attributable to the efficacy of the strategy: Women classified as "high-risk" received adequate medical care, consequently.

Changes in admission rates to an Aotearoa New Zealand hospital general medical service during COVID-19 lockdowns.

AIM: To better understand the reasons for reduced hospital admissions to a hospital general medicine service during COVID-19 lockdowns. METHODS: A statistical model for admission rates to the General Medicine Service at Wellington Hospital, Aotearoa New Zealand, since 2015 was constructed. This model was used to estimate changes in admission rates for transmissible and non-transmissible diagnoses during and following COVID-19 lockdowns for total admissions and various sub-groups. RESULTS: For the 2020 lockdown (n=734 admissions), the overall rate ratio of admissions was 0.71 compared to the pre-lockdown rate. Non-transmissible diagnoses, which constitute 87% of admissions, had an admission rate ratio of 0.77. Transmissible diagnoses, constituting 13% of admissions, had an admission rate ratio of 0.44. Reductions in admissions did not exacerbate existing ethnic disparities in access to health services. The lag in recovery of admission rates was more pronounced for transmissible than non-transmissible diagnoses. The 2021 lockdown (n=105 admissions) followed this pattern, but was of shorter duration with small numbers, and therefore measures were frequently not statistically significant. CONCLUSIONS: The biggest relative reduction in hospital admission was due to a reduction in transmissible illness admissions, likely due to COVID-related public health measures. However, the biggest reduction in absolute terms was in non-transmissible illnesses, where hospital avoidance may be associated with increased morbidity or mortality.

Predicting short- to medium-term care home admission risk in older adults: a systematic review of externally validated models.

INTRODUCTION: Predicting risk of care home admission could identify older adults for early intervention to support independent living but require external validation in a different dataset before clinical use. We systematically reviewed external validations of care home admission risk prediction models in older adults. METHODS: We searched Medline, Embase and Cochrane Library until 14 August 2023 for external validations of prediction models for care home admission risk in adults aged ≥65 years with up to 3 years of follow-up. We extracted and narratively synthesised data on study design, model characteristics, and model discrimination and calibration (accuracy of predictions). We assessed risk of bias and applicability using Prediction model Risk Of Bias Assessment Tool. RESULTS: Five studies reporting validations of nine unique models were included. Model applicability was fair but risk of bias was mostly high due to not reporting model calibration. Morbidities were used as predictors in four models, most commonly neurological or psychiatric diseases. Physical function was also included in four models. For 1-year prediction, three of the six models had acceptable discrimination (area under the receiver operating characteristic curve (AUC)/c statistic 0.70-0.79) and the remaining three had poor discrimination (AUC < 0.70). No model accounted for competing mortality risk. The only study examining model calibration (but ignoring competing mortality) concluded that it was excellent. CONCLUSIONS: The reporting of models was incomplete. Model discrimination was at best acceptable, and calibration was rarely examined (and ignored competing mortality risk when examined). There is a need to derive better models that account for competing mortality risk and report calibration as well as discrimination.

Impact of the early phase of the COVID-19 pandemic on emergency department-to-intensive care unit admissions in Korea: an interrupted time-series analysis.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic resulted in significant disruptions to critical care systems globally. However, research on the impact of the COVID-19 pandemic on intensive care unit (ICU) admissions via the emergency department (ED) is limited. Therefore, this study evaluated the changes in the number of ED-to-ICU admissions and clinical outcomes in the periods before and during the pandemic. METHODS: We identified all adult patients admitted to the ICU through level 1 or 2 EDs in Korea between February 2018 and January 2021. February 2020 was considered the onset point of the COVID-19 pandemic. The monthly changes in the number of ED-to-ICU admissions and the in-hospital mortality rates before and during the COVID-19 pandemic were evaluated using interrupted time-series analysis. RESULTS: Among the 555,793 adult ED-to-ICU admissions, the number of ED-to-ICU admissions during the pandemic decreased compared to that before the pandemic (step change, 0.916; 95% confidence interval [CI] 0.869-0.966], although the trend did not attain statistical significance (slope change, 0.997; 95% CI 0.991-1.003). The proportion of patients who arrived by emergency medical services, those transferred from other hospitals, and those with injuries declined significantly among the number of ED-to-ICU admissions during the pandemic. The proportion of in-hospital deaths significantly increased during the pandemic (step change, 1.054; 95% CI 1.003-1.108); however, the trend did not attain statistical significance (slope change, 1.001; 95% CI 0.996-1.007). Mortality rates in patients with an ED length of stay of ≥ 6 h until admission to the ICU rose abruptly following the onset of the pandemic (step change, 1.169; 95% CI 1.021-1.339). CONCLUSIONS: The COVID-19 pandemic significantly affected ED-to-ICU admission and in-hospital mortality rates in Korea. This study's findings have important implications for healthcare providers and policymakers planning the management of future outbreaks of infectious diseases. Strategies are needed to address the challenges posed by pandemics and improve the outcomes in critically ill patients.

Lactate-to-albumin ratio: A promising predictor of 28-day all-cause mortality in critically Ill patients with acute ischemic stroke.

INTRODUCTION: Numerous diseases have been found to be associated with the lactate-to-albumin ratio (LAR), as confirmed by existing research. This study aims to investigate the relationship between LAR within 24 hours of admission and a 28-day mortality rate in patients manifesting ischemic stroke. METHODS: This retrospective cohort study utilized data from the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 2.1) database. We included adult patients with acute ischemic stroke (AIS) who were admitted to the intensive care unit. The primary outcome entailed evaluating the ability of LAR to predict death at 28-day of hospital admission in patients with AIS. RESULTS: A total of 502 patients with ischemic stroke were enrolled in the study, of which 185 (36.9 %) died within 28 days after hospital admission. We identified a linear association between LAR and mortality risk. Compared with the reference group (first LAR tertile), the 28-day mortality was increased in the highest tertile; the fully adjusted HR value was 1.21 (1.08 to 1.40). the Area Under the Curve (AUC) value for LAR was 58.26 % (95 % CI: 53.05 % - 63.46 %), which was higher than that for arterial blood lactate (AUC = 56.88 %) and serum albumin (AUC = 55.29 %) alone. It was not inferior even when compared to SOFA (AUC = 56.28 %). The final subgroup analysis exhibited no significant interaction of LAR with each subgroup (P for interaction: 0.079 - 0.848). CONCLUSION: In our study, LAR emerged as a promising predictor of all-cause mortality in acute ischemic stroke patients within 28 days of admission.

Journey of medication reconciliation compliance in a lower middle-income country: a retrospective chart review.

OBJECTIVE: There were three main objectives of the study: to determine the overall compliance of medication reconciliation over 4 years in a tertiary care hospital, to compare the medication reconciliation compliance between paper entry (initial assessment forms) and computerised physician order entry (CPOE), and to identify the discrepancies between the medication history taken by the physician at the time of admission and those collected by the pharmacist within 24 hours of admission. METHODS: This study was conducted at a tertiary care hospital in a lower middle-income country. Data were gathered from two different sources. The first source involved retrospective data obtained from the Quality and Patient Safety Department (QPSD) of the hospital, consisting of records from 8776 patients between 2018 and 2021. The second data source was also retrospective from a quality project initiated by pharmacists at the hospital. Pharmacists collected data from 1105 patients between 2020 and 2021, specifically focusing on medication history and identifying any discrepancies compared with the history documented by physicians. The collected data were then analysed using SPSS V.26. RESULTS: The QPSD noted an improvement in physician-led medication reconciliation, with a rise from 32.7% in 2018 to 69.4% in 2021 in CPOE. However, pharmacist-led medication reconciliation identified a 25.4% (n=281/1105) overall discrepancy in the medication history of patients admitted from 2020 to 2021, mainly due to incomplete medication records in the initial assessment forms and CPOE. Physicians missed critical drugs in 4.9% of records; pharmacists identified and updated them. CONCLUSION: In a lower middle-income nation where hiring pharmacists to conduct medication reconciliation would be an additional cost burden for hospitals, encouraging physicians to record medication history more precisely would be a more workable method. However, in situations where cost is not an issue, it is recommended to adopt evidence-based practices, such as integrating clinical pharmacists to lead medication reconciliation, which is the gold standard worldwide.

Association between holiday and weekend admissions and mortality outcomes among patients with acute myocardial infarction receiving percutaneous coronary intervention in Taiwan.

There is a lack of studies that concurrently differentiate the effect of the holiday season from the weekend effect on mortality risk in patients with acute myocardial infarction (AMI). We evaluated the mortality risk among patients admitted with AMI who underwent percutaneous coronary intervention, using data from the Taiwan National Health Insurance Research Database. Adult AMI patients admitted during January and February between 2013 and 2020 were enrolled and classified into the holiday season (using the Chinese New Year holiday seasons as an indicator) (n = 1729), weekend (n = 4725), and weekday (n = 14,583) groups according to the first day of admission. A multivariable logistic regression model was used to assess the risk. With the weekday group or the weekend group as the reference, the holiday season group did not have increased risks of in-hospital mortality (adjusted odds ratio [aOR] 1.15; 95% confidence intervals [CI] 0.93-1.42 or aOR 1.23; 95% CI 0.96-1.56) and 7-day mortality (aOR 1.20; 95% CI 0.90-1.58 or aOR 1.24; 95% CI 0.90-1.70). Stratified and subgroup analyses showed similar trends. We conclude that holiday season-initiated admissions were not associated with higher mortality risks in AMI admission cases than weekday or weekend admissions.

Effects of seasonality in emergency admissions for mental disorders: two years of clinical experience.

OBJECTIVES: This retrospective study, conducted in Turin, Italy, between January 2021 and February 2023, investigates the impact of seasonal heatwaves on emergency department (ED) admissions for mental disorders. METHODS: Through the analysis of data from 2,854 patients, this research found a significant link between the occurrence of heatwaves, especially from June to August, and an elevated rate of ED admissions for psychiatric conditions. RESULTS: The data indicate a clear seasonal pattern, with admissions peaking during the hot months and diminishing in the colder months. Particularly, the study delineates an enhanced correlation between heatwaves and admissions for severe psychiatric disorders, such as bipolar disorder, major depression, personality disorders, and schizophrenia, accounting for 1,868 of the cases examined. This correlation was most pronounced among individuals aged 50-59 years. CONCLUSIONS: The results of this study highlight a critical association between the incidence of seasonal heatwaves and an uptick in ED visits for psychiatric disorders, with a distinct impact on severe cases. It underscores the urgency for healthcare systems to anticipate seasonal fluctuations in psychiatric ED admissions and to allocate resources effectively to support patients during peak periods.

Diagnosing an overcrowded emergency department from its Electronic Health Records.

Emergency department overcrowding is a complex problem that persists globally. Data of visits constitute an opportunity to understand its dynamics. However, the gap between the collected information and the real-life clinical processes, and the lack of a whole-system perspective, still constitute a relevant limitation. An analytical pipeline was developed to analyse one-year of production data following the patients that came from the ED (n = 49,938) at Uppsala University Hospital (Uppsala, Sweden) by involving clinical experts in all the steps of the analysis. The key internal issues to the ED were the high volume of generic or non-specific diagnoses from non-urgent visits, and the delayed decision regarding hospital admission caused by several imaging assessments and lack of hospital beds. Furthermore, the external pressure of high frequent re-visits of geriatric, psychiatric, and patients with unspecified diagnoses dramatically contributed to the overcrowding. Our work demonstrates that through analysis of production data of the ED patient flow and participation of clinical experts in the pipeline, it was possible to identify systemic issues and directions for solutions. A critical factor was to take a whole systems perspective, as it opened the scope to the boundary effects of inflow and outflow in the whole healthcare system.

Experiences and impact of psychiatric inpatient admissions far away from home: a qualitative study with young people, parents/carers and healthcare professionals.

BACKGROUND: There are significant clinical, policy and societal concerns about the impact on young people (YP), from admission to psychiatric wards far from home. However, research evidence is scarce. AIMS: To investigate the impact of at-distance admissions to general adolescent units, from the perspectives of YP, parents/carers and healthcare professionals (HCPs) including service commissioners, to inform clinical practice, service development and policy. METHOD: Semistructured interviews with purposive samples of YP aged 13-17 years (n=28) and parents/carers (n=19) across five large regions in England, and a national sample of HCPs (n=51), were analysed using a framework approach. RESULTS: There was considerable agreement between YP, parents/carers and HCPs on the challenges of at-distance admissions. YP and parents/carers had limited or no involvement in decision-making processes around admission and highlighted a lack of available information about individual units. Being far from home posed challenges with maintaining home contact and practical/financial challenges for families visiting. HCPs struggled with ensuring continuity of care, particularly around maintaining access to local clinical teams and educational support. However, some YP perceived separation from their local environment as beneficial because it removed them from unhelpful environments. At-distance admissions provided respite for some families struggling to support their child. CONCLUSIONS: At-distance admissions lead to additional distress, uncertainty, compromised continuity of care and educational, financial and other practical difficulties, some of which could be better mitigated. For a minority, there are some benefits from such admissions. CLINICAL IMPLICATIONS: Standardised online information, accessible prior to admission, is needed for all Child and Adolescent Mental Health Services units. Additional practical and financial burden placed on families needs greater recognition and consideration of potential sources of support. Policy changes should incorporate findings that at-distance or adult ward admissions may be preferable in certain circumstances.

Factors affecting hospitalization and mortality in a retrospective study of elderly patients with heart failure.

BACKGROUND: Heart failure (HF) has a high prevalence in an elderly population and leads to a substantial hospitalization and mortality. The objective of this study was to investigate factors that affect hospitalization and mortality in an elderly population. METHODS: A retrospective observational study was conducted of HF patients aged 76-95 years residing in Region Halland, Sweden. Between 2013 and 2019, a total of 3134 patients received a novel diagnosis of HF and were subsequently monitored for one year using data from a healthcare database. The patients were categorized into HF-phenotypes according to ejection fraction (EF) and those with HF diagnose solely based on clinical criteria with no defined EF. Cox regression analysis for hospital admissions and mortality was evaluated adjusted for pharmacotherapies, healthcare utilization and clinical characteristics. RESULTS: Echocardiogram was performed in 56% of the patients and 51% were treated with recommended HF pharmacotherapy with betablockers combined with renin-angiotensin-aldosterone-system inhibition. The average number of inpatient days was 10.7 while the average number of visits to primary care physician was 5.4 and 8.7 to primary care nurse respectively. A Cox regression analysis for hospital admissions and mortality revealed that an eGFR < 30 ml/min was associated with a hazard ratio (HR) of 1.88 (confidence interval [CI] 1.56-2.28), elevated NT-proBNP with an HR of 2.09 (CI 1.59-2.76), diabetes with an HR of 1.31 (CI 1.13-1.52), and chronic obstructive pulmonary disease with an HR of 1.51 (CI 1.29-1.77). Having a primary care physician visit was associated to an HR of 0.16 (CI 0.14-0.19), and the use of recommended heart failure pharmacotherapy was associated with an HR of 0.52 (CI 0.44-0.61). CONCLUSIONS: In a Swedish elderly population with HF, factors such as advancing age, kidney dysfunction, elevated NT-proBNP levels, diabetes, and COPD were associated with an increased risk of both mortality and hospitalization. Conversely, patients who received recommended heart failure treatment and made regular visits to their primary care physician were associated with a decreased risk. This indicates that elderly patients with HF benefit from recommended HF treatment and highlights that follow-ups in primary care could be advantageous.

Bypassing the Brick-and-Mortar Hospital: Increasing Direct Admissions from the Emergency Department to Inpatient Hospital-at-Home.

Home hospital programs continue to grow across the United States. There are limited studies around the process of patient selection and successful acquisition from the emergency department. The article describes how an interdisciplinary team used quality improvement methodology to significantly increase the number of admissions directly from the emergency department to the Advanced Care at Home program.

Costs of hospital admissions due to COVID-19 in the federal capital of Brazil: a study based on hospital admission authorizations.

This is a cost analysis study based on hospital admissions, conducted from the perspective of the Brazilian Unified Health System (SUS), carried out in a cohort of patients hospitalized at the University Hospital of Brasília (UHB) due to Severe Acute Respiratory Infections (SARI) caused by COVID-19, from April 1, 2020, to March 31, 2022. An approach based on macro-costing was used, considering the costs per patient identified in the Hospital Admission Authorizations (HAA). Were identified 1,015 HAA from 622 patients. The total cost of hospitalizations was R$ 2,875,867.18 for 2020 and 2021. Of this total, 86.41 % referred to hospital services and 13.59 % to professional services. The highest median cost per patient identified was for May 2020 (R$ 19,677.81 IQR [3,334.81-33,041.43]), while the lowest was in January 2021 (R$ 1,698.50 IQR [1,602.70-2,224.11]). The high cost of treating patients with COVID-19 resulted in a high economic burden of SARI due to COVID-19 for UHB and, consequently, for SUS.

Improving Accuracy of Medication Reconciliation for Hospitalized Children: A Quality Project.

BACKGROUND AND OBJECTIVES: Medication reconciliation is a complex, but necessary, process to prevent patient harm from medication discrepancies. Locally, the steps of medication reconciliation are completed consistently; however, medication errors still occur, which suggest process inaccuracies. We focused on removal of unnecessary medications as a proxy for accuracy. The primary aim was to increase the percentage of patients admitted to the pediatric hospital medicine service with at least 1 medication removed from the home medication list by 10% during the hospital stay by June of 2022. METHODS: Using the Model for Improvement, a multidisciplinary team was formed at a children's hospital, a survey was completed, and multiple Plan-Do-Study-Act cycles were done focusing on: 1. simplifying electronic health record processes by making it easier to remove medications; 2. continuous resident education about the electronic health record processes to improve efficiency and address knowledge gaps; and 3. auditing charts and real-time feedback. Data were monitored with statistical process control charts. RESULTS: The project exceeded the goal, improving from 35% to 48% of patients having at least 1 medication removed from their home medication list. Improvement has sustained for 12 months. CONCLUSIONS: The combination of interventions including simplifying workflow, improving education, and enhancing accountability resulted in more patients with medications removed from their home medication list.

Delayed vs Early Admission to Intensive Care: A Retrospective Review of Outcomes and Clinical Indicators of Deterioration Following Trauma.

Unplanned admission to an intensive care unit (ICU) is a trauma quality improvement indicator associated with increased morbidity, mortality, and hospital resource usage. We identified demographics, injuries, and other clinical factors between early ICU admission, <72 hrs after admission (EAd), and delayed admission, >72 hrs (DelAd) from a medical/surgical floor. 146 trauma patients admitted to ICU at a level 1 trauma center from January 2020 to March 2023 met inclusion criteria and were divided into EAd and DelAd. No statistical differences in injury mechanism or severity were observed. Delayed admission demonstrated higher mortality (P = .001), more frequent decline in GCS (P = .045), and initiation of anticoagulation (P = .002). Abnormal EKG, orthopedic surgery during admission, and home anticoagulant and antidepressant use were statistically significant in identifying patients requiring early ICU admission.

Unveiling the evolving landscape of stroke care costs: A time-driven analysis.

INTRODUCTION: Stroke is a common cause of mortality in the United States. However, the economic burden of stroke on the healthcare system is not well known. In this study, we aim to calculate the annual cumulative and per-patient cost of stroke. METHODS: We conducted a retrospective analysis of Nationwide Emergency Department Sample (NEDS). We calculate annual trends in cost for stroke patients from 2006 to 2019. A multivariate linear regression with patient characteristics (e.g. age, sex, Charlson Comorbidity Index) as covariates was used to identify factors for higher costs. RESULTS: In this study time-period, 2,998,237 stroke patients presented to the ED and 2,481,171 (83 %) were admitted. From 2006 to 2019, the cumulative ED cost increased by a factor of 7.0 from 0.49 ± 0.03 to 3.91 ± 0.16 billion dollars (p < 0.001). The cumulative inpatient (IP) cost increased by a factor of 2.7 from 14.42 ± 0.78 to 37.06 ± 2.26 billion dollars (p < 0.001. Per-patient ED charges increased by a factor of 3.0 from 1950 ± 64 to 7818 ± 260 dollars (p < 0.001). Per-patient IP charges increased by 89 % from 40.22 +/- 1.12 to 76.06 ± 3.18 thousand dollars (p < 0.001). CONCLUSION: Strokes place an increasing financial burden on the US healthcare system. Certain patient demographics including age, male gender, more comorbidities, and insurance type were significantly associated with increased cost of care.