A novel risk-adjusted metric to compare hospitals on their antibiotic-prescribing at hospital discharge.

BACKGROUND: Antibiotic overuse at hospital discharge is common, but there is no metric to evaluate hospital performance at this transition of care. We built a risk-adjusted metric for comparing hospitals on their overall post-discharge antibiotic use. METHODS: This was a retrospective study across all acute-care admissions within the Veterans Health Administration during 2018-2021. For patients discharged to home, we collected data on antibiotics and relevant covariates. We built a zero-inflated negative binomial mixed-model with two random intercepts for each hospital to predict post-discharge antibiotic exposure and length of therapy (LOT). Data were split into training and testing sets to evaluate model performance using absolute error. Hospital performance was determined by the predicted random intercepts. RESULTS: 1,804,300 patient-admissions across 129 hospitals were included. Antibiotics were prescribed to 41.5% while hospitalized and 19.5% at discharge. Median LOT among those prescribed post-discharge antibiotics was 7 (IQR 4-10). The predictive model detected post-discharge antibiotic use with fidelity, including accurate identification of any exposure (area under the precision-recall curve=0.97) and reliable prediction of post-discharge LOT (mean absolute error = 1.48). Based on this model, 39 (30.2%) hospitals prescribed antibiotics less often than expected at discharge and used shorter LOT than expected. Twenty-eight (21.7%) hospitals prescribed antibiotics more often at discharge and used longer LOT. CONCLUSION: A model using electronically-available data was able to predict antibiotic use prescribed at hospital discharge and showed that some hospitals were more successful in reducing antibiotic overuse at this transition of care. This metric may help hospitals identify opportunities for improved antibiotic stewardship at discharge.

A personalized protocol for prescribing opioids after cesarean delivery: leveraging the electronic medical record to reduce outpatient opioid prescriptions.

BACKGROUND: Although cesarean delivery is the most common surgery performed in the United States, prescribing practices for analgesia vary. Strategies to manage postpartum pain have mostly focused on the immediate postpartum period when patients are still admitted to the hospital. At discharge, most providers prescribe a fixed number of opioid tablets. Most patients do not use all the opioids that they are prescribed at hospital discharge. This leads to an excess of opioids in the community, which can ultimately lead to misuse and diversion. OBJECTIVE: This study aimed to determine whether a transition from universal opioid prescribing to a personalized, patient-specific protocol decreases morphine milligram equivalents prescribed at hospital discharge after cesarean delivery while adequately controlling pain. STUDY DESIGN: This was a prospective cohort study of patients undergoing cesarean delivery before and after the implementation of a personalized opioid-prescribing practice at the time of hospital discharge. Each patient was prescribed scheduled ibuprofen and acetaminophen, with a prescription for oxycodone tablets equal to 5 times the morphine milligram equivalents used in the 24 hours before discharge, calculated via an electronic order set. The previous traditional cohorts were routinely prescribed 30 tablets of acetaminophen-codeine 300/30 mg. The primary outcome was morphine milligram equivalents prescribed at discharge. A hotline to address pain control issues after discharge was established, and calls, emergency department visits, and readmissions were examined. Statistical analyses was performed using chi-square and Wilcoxon rank-sum test, with a P value of <.05 considered statistically significant. RESULTS: Overall, 412 patients underwent cesarean delivery in the 6 weeks after initiation of the personalized prescribing protocol and were compared with 367 patients before the change. The median morphine milligram equivalents prescribed at discharge was lower with personalized prescribing (37.5 [interquartile range, 0-75] vs 135 [interquartile range, 135-135]; P<.001). Moreover, 176 patients (43%) were not prescribed opioids at discharge, which was a substantial change as all 367 patients in the traditional cohort received opioids at discharge (P<.001). Of note, 9 hotline phone calls were received; none required additional opioids after a 24-hour trial of scheduled ibuprofen, which none had taken before the call. In addition, 11 patients (2.7%) presented to the emergency department for pain evaluation, of which none required readmission or an outpatient prescription of opioids. CONCLUSION: A personalized protocol for opioid prescriptions after cesarean delivery decreased the total morphine milligram equivalents and the number of opioid tablets at discharge, without hospital readmissions or need for rescue opioid prescriptions after discharge. Opioids released into our community will be reduced by more than 90,000 tablets per year, without demonstrable adverse effect.

Seasonal extreme temperatures and short-term fine particulate matter increases pediatric respiratory healthcare encounters in a sparsely populated region of the intermountain western United States.

BACKGROUND: Western Montana, USA, experiences complex air pollution patterns with predominant exposure sources from summer wildfire smoke and winter wood smoke. In addition, climate change related temperatures events are becoming more extreme and expected to contribute to increases in hospital admissions for a range of health outcomes. Evaluating while accounting for these exposures (air pollution and temperature) that often occur simultaneously and may act synergistically on health is becoming more important. METHODS: We explored short-term exposure to air pollution on children's respiratory health outcomes and how extreme temperature or seasonal period modify the risk of air pollution-associated healthcare events. The main outcome measure included individual-based address located respiratory-related healthcare visits for three categories: asthma, lower respiratory tract infections (LRTI), and upper respiratory tract infections (URTI) across western Montana for ages 0-17 from 2017-2020. We used a time-stratified, case-crossover analysis with distributed lag models to identify sensitive exposure windows of fine particulate matter (PM2.5) lagged from 0 (same-day) to 14 prior-days modified by temperature or season. RESULTS: For asthma, increases of 1 µg/m3 in PM2.5 exposure 7-13 days prior a healthcare visit date was associated with increased odds that were magnified during median to colder temperatures and winter periods. For LRTIs, 1 µg/m3 increases during 12 days of cumulative PM2.5 with peak exposure periods between 6-12 days before healthcare visit date was associated with elevated LRTI events, also heightened in median to colder temperatures but no seasonal effect was observed. For URTIs, 1 unit increases during 13 days of cumulative PM2.5 with peak exposure periods between 4-10 days prior event date was associated with greater risk for URTIs visits that were intensified during median to hotter temperatures and spring to summer periods. CONCLUSIONS: Delayed, short-term exposure increases of PM2.5 were associated with elevated odds of all three pediatric respiratory healthcare visit categories in a sparsely population area of the inter-Rocky Mountains, USA. PM2.5 in colder temperatures tended to increase instances of asthma and LRTIs, while PM2.5 during hotter periods increased URTIs.

The impact of discharge letter content on unplanned hospital readmissions within 30 and 90 days in older adults with chronic illness - a mixed methods study.

BACKGROUND: Care transitions are high-risk processes, especially for people with complex or chronic illness. Discharge letters are an opportunity to provide written information to improve patients' self-management after discharge. The aim of this study is to determine the impact of discharge letter content on unplanned hospital readmissions and self-rated quality of care transitions among patients 60 years of age or older with chronic illness. METHODS: The study had a convergent mixed methods design. Patients with chronic obstructive pulmonary disease or congestive heart failure were recruited from two hospitals in Region Stockholm if they were living at home and Swedish-speaking. Patients with dementia or cognitive impairment, or a "do not resuscitate" statement in their medical record were excluded. Discharge letters from 136 patients recruited to a randomised controlled trial were coded using an assessment matrix and deductive content analysis. The assessment matrix was based on a literature review performed to identify key elements in discharge letters that facilitate a safe care transition to home. The coded key elements were transformed into a quantitative variable of "SAFE-D score". Bivariate correlations between SAFE-D score and quality of care transition as well as unplanned readmissions within 30 and 90 days were calculated. Lastly, a multivariable Cox proportional hazards model was used to investigate associations between SAFE-D score and time to readmission. RESULTS: All discharge letters contained at least five of eleven key elements. In less than two per cent of the discharge letters, all eleven key elements were present. Neither SAFE-D score, nor single key elements correlated with 30-day or 90-day readmission rate. SAFE-D score was not associated with time to readmission when adjusted for a range of patient characteristics and self-rated quality of care transitions. CONCLUSIONS: While written summaries play a role, they may not be sufficient on their own to ensure safe care transitions and effective self-care management post-discharge. TRIAL REGISTRATION: Clinical Trials. giv, NCT02823795, 01/09/2016.

Measuring the continuing care needs of inpatients in rural China.

BACKGROUND: International experience shows that the suitability of a high-performance healthcare system for its given purposes is reflected in its ability to provide a continuum of services that match the changing health status of the given population. Although many low- and middle-income countries have sought to bring movement away from hospital-centered and towards patient-centered healthcare, such efforts have often had poor results, and one of the major reasons for this is the inability to accurately identify which inpatients need continuing care and what kind of continuing of care is needed. OBJECTIVES: To measure and assess the continuing care needs of discharged patients and its influencing factors in rural China. METHODS: Data were obtained from the hospital database of Medical Center M in County Z from May to July 2022. County Z is a county of 1 million people in central China. The database includes basic patient information, disease-related information, and information on readiness for hospital discharge. Factors related to the need for continuing care were included in the analysis. The Readiness for Hospital Discharge Scale was used to assess the need for continuing care. The statistical data are expressed in terms of both frequency and composition ratio. Finally, linear regression was used to analyze the factors influencing the need for continuing care. RESULTS: The analysis included a total of 3,791 patients, 123 of whom (3.25%) had continuing nursing needs. The need of continuing nursing was related to patients' age group, mode of admission, occupation and major diagnostic categories (P < 0.05). CONCLUSIONS: Developing continuing care is an important initiative for bridging the fragmentation of health services, and an appropriate supply system for continuing care, interconnected with inpatient services, should be established in rural areas in China as soon as possible. And provide more appropriate care for patients in need.

Evaluation of the nurse-assisted eHealth intervention 'eHealth@Hospital-2-Home' on self-care by patients with heart failure and colorectal cancer post-hospital discharge: protocol for a randomised controlled trial.

BACKGROUND: Patients with heart failure (HF) and colorectal cancer (CRC) are prone to comorbidity, a high rate of readmission, and complex healthcare needs. Self-care for people with HF and CRC after hospitalisation can be challenging, and patients may leave the hospital unprepared to self-manage their disease at home. eHealth solutions may be a beneficial tool to engage patients in self-care. METHODS: A randomised controlled trial with an embedded evaluation of intervention engagement and cost-effectiveness will be conducted to investigate the effect of eHealth intervention after hospital discharge on the self-efficacy of self-care. Eligible patients with HF or CRC will be recruited before discharge from two Norwegian university hospitals. The intervention group will use a nurse-assisted intervention-eHealth@Hospital-2-Home-for six weeks. The intervention includes remote monitoring of vital signs; patients' self-reports of symptoms, health and well-being; secure messaging between patients and hospital-based nurse navigators; and access to specific HF and CRC health-related information. The control group will receive routine care. Data collection will take place before the intervention (baseline), at the end of the intervention (Post-1), and at six months (Post-2). The primary outcome will be self-efficacy in self-care. The secondary outcomes will include measures of burden of treatment, health-related quality of life and 30- and 90-day readmissions. Sub-study analyses are planned in the HF patient population with primary outcomes of self-care behaviour and secondary outcomes of medication adherence, and readmission at 30 days, 90 days and 6 months. Patients' and nurse navigators' engagement and experiences with the eHealth intervention and cost-effectiveness will be investigated. Data will be analysed according to intention-to-treat principles. Qualitative data will be analysed using thematic analysis. DISCUSSION: This protocol will examine the effects of the eHealth@ Hospital-2-Home intervention on self-care in two prevalent patient groups, HF and CRC. It will allow the exploration of a generic framework for an eHealth intervention after hospital discharge, which could be adapted to other patient groups, upscaled, and implemented into clinical practice. TRIAL REGISTRATION: Clinical trials.gov (ID 301472).

Navigating outpatient care of patients with type 2 diabetes after hospital discharge - a qualitative longitudinal study.

BACKGROUND: The transition from hospital to outpatient care is a particularly vulnerable period for patients as they move from regular health monitoring to self-management. This study aimed to map and investigate the journey of patients with polymorbidities, including type 2 diabetes (T2D), in the 2 months following hospital discharge and examine patients' encounters with healthcare professionals (HCPs). METHODS: Patients discharged with T2D and at least two other comorbidities were recruited during hospitalization. This qualitative longitudinal study consisted of four semi-structured interviews per participant conducted from discharge up to 2 months after discharge. The interviews were based on a guide, transcribed verbatim, and thematically analyzed. Patient journeys through the healthcare system were represented using the patient journey mapping methodology. RESULTS: Seventy-five interviews with 21 participants were conducted from October 2020 to July 2021. The participants had a median of 11 encounters (min-max: 6-28) with HCPs. The patient journey was categorized into six key steps: hospitalization, discharge, dispensing prescribed medications by the community pharmacist, follow-up calls, the first medical appointment, and outpatient care. CONCLUSIONS: The outpatient journey in the 2 months following discharge is a complex and adaptive process. Despite the active role of numerous HCPs, navigation in outpatient care after discharge relies heavily on the involvement and responsibilities of patients. Preparation for discharge, post-hospitalization follow-up, and the first visit to the pharmacy and general practitioner are key moments for carefully considering patient care. Our findings underline the need for clarified roles and a standardized approach to discharge planning and post-discharge care in partnership with patients, family caregivers, and all stakeholders involved.

Using a severity threshold to improve occupational injury surveillance: Assessment of a severe traumatic injury-based occupational health indicator across the International Classification of Diseases lexicon transition.

BACKGROUND: Traumatic injury is a leading cause of death and disability among US workers. Severe injuries are less subject to systematic ascertainment bias related to factors such as reporting barriers, inpatient admission criteria, and workers' compensation coverage. A state-based occupational health indicator (OHI #22) was initiated in 2012 to track work-related severe traumatic injury hospitalizations. After 2015, OHI #22 was reformulated to account for the transition from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to ICD-10-CM. This study describes rates and trends in OHI #22, alongside corresponding metrics for all work-related hospitalizations. METHODS: Seventeen states used hospital discharge data to calculate estimates for calendar years 2012-2019. State-panel fixed-effects regression was used to model linear trends in annual work-related hospitalization rates, OHI #22 rates, and the proportion of work-related hospitalizations resulting from severe injuries. Models included calendar year and pre- to post-ICD-10-CM transition. RESULTS: Work-related hospitalization rates showed a decreasing monotonic trend, with no significant change associated with the ICD-10-CM transition. In contrast, OHI #22 rates showed a monotonic increasing trend from 2012 to 2014, then a significant 50% drop, returning to a near-monotonic increasing trend from 2016 to 2019. On average, OHI #22 accounted for 12.9% of work-related hospitalizations before the ICD-10-CM transition, versus 9.1% post-transition. CONCLUSIONS: Although hospital discharge data suggest decreasing work-related hospitalizations over time, work-related severe traumatic injury hospitalizations are apparently increasing. OHI #22 contributes meaningfully to state occupational health surveillance efforts by reducing the impact of factors that differentially obscure minor injuries; however, OHI #22 trend estimates must account for the ICD-10-CM transition-associated structural break in 2015.

Mediating role of care partner burden among dementia care partners during post-hospital transition.

OBJECTIVES: This study examined the mediating role of care partner burden on the relationship between patient clinical factors (i.e. cognition, physical function, and behavioral and psychological symptoms of dementia [BPSD]) and care partner mental health (i.e. anxiety and depression) among dementia care partners at hospital discharge. METHOD: The sample consisted of 431 patient and care partner dyads enrolled in the Family centered Function-focused Care (Fam-FFC) study; ClinicalTrials.gov identifier NCT03046121. Mediation analyses were conducted to test the role of care partner burden on the associations between patient clinical factors, and care partner anxiety and depression. RESULTS: Mediation models demonstrated that care partner burden partially mediated the relationship between patient physical function and care partner anxiety and depression, as well as patient BPSD and care partner anxiety and depression. CONCLUSION: Findings highlight the need for clinicians and service providers to implement comprehensive strategies that address both patient clinical factors (i.e. physical function and BPSD) and care partner burden, to optimize care partner mental health outcomes during post-hospital transition.

Readiness for hospital discharge and its association with post-discharge outcomes among oesophageal cancer patients after oesophagectomy: A prospective observational study.

AIM: To examine the level and influencing factors of discharge readiness among patients with oesophageal cancer following oesophagectomy and to explore its association with post-discharge outcomes (post-discharge coping difficulty and unplanned readmission). BACKGROUND: Oesophageal cancer is common and usually treated via oesophagectomy in China. The assessment of patient's discharge readiness gradually attracts attention as patients tend to be discharged more quickly. DESIGN: Prospective observational study. The STROBE statement was followed. METHODS: In total, 154 participants with oesophageal cancer after oesophagectomy were recruited in a tertiary cancer centre in Southern China from July 2019 to January 2020. The participants completed a demographic and disease-related questionnaire, the Quality of Discharge Teaching Scale and Readiness for Hospital Discharge Scale before discharge. Post-discharge outcomes were investigated on the 21st day (post-discharge coping difficulty) and 30th day (unplanned readmission) after discharge separately. Multiple linear regressions were used for statistical analysis. RESULTS: The mean scores of discharge readiness and quality of discharge teaching were (154.02 ± 31.58) and (138.20 ± 24.20) respectively. The quality of discharge teaching, self-care ability, dysphagia and primary caregiver mainly influenced patient's discharge readiness and explained 63.0% of the variance. The low discharge readiness could predict more risk of post-discharge coping difficulty (r = -0.729, p < 0.01) and unplanned readmission (t = -2.721, p < 0.01). CONCLUSIONS: Discharge readiness among patients with oesophageal cancer following oesophagectomy is influenced by various factors, especially the quality of discharge teaching. A high discharge readiness corresponds to good post-discharge outcomes. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: Healthcare professionals should improve the discharge readiness by constructing high-quality discharge teaching, cultivating patients' self-care ability, mobilizing family participation and alleviating dysphagia to decrease adverse post-discharge outcomes among patients with oesophageal cancer. PATIENTS OR PUBLIC CONTRIBUTION: Patients with oesophageal cancer after oesophagectomy who met the inclusion criteria were recruited.

Machine learning prediction of hospital discharge disposition for inpatients with acute ischemic stroke following mechanical thrombectomy in the United States.

BACKGROUND AND PURPOSE: Predicting patient recovery and discharge disposition following mechanical thrombectomy remains a challenge in patients with ischemic stroke. Machine learning offers a promising prognostication approach assisting in personalized post-thrombectomy care plans and resource allocation. As a large national database, National Inpatient Sample (NIS), contain valuable insights amenable to data-mining. The study aimed to develop and evaluate ML models predicting hospital discharge disposition with a focus on demographic, socioeconomic and hospital characteristics. MATERIALS AND METHODS: The NIS dataset (2006-2019) was used, including 4956 patients diagnosed with ischemic stroke who underwent thrombectomy. Demographics, hospital characteristics, and Elixhauser comorbidity indices were recorded. Feature extraction, processing, and selection were performed using Python, with Maximum Relevance - Minimum Redundancy (MRMR) applied for dimensionality reduction. ML models were developed and benchmarked prior to interpretation of the best model using Shapley Additive exPlanations (SHAP). RESULTS: The multilayer perceptron model outperformed others and achieved an AUROC of 0.81, accuracy of 77 %, F1-score of 0.48, precision of 0.64, and recall of 0.54. SHAP analysis identified the most important features for predicting discharge disposition as dysphagia and dysarthria, NIHSS, age, primary payer (Medicare), cerebral edema, fluid and electrolyte disorders, complicated hypertension, primary payer (private insurance), intracranial hemorrhage, and thrombectomy alone. CONCLUSION: Machine learning modeling of NIS database shows potential in predicting hospital discharge disposition for inpatients with acute ischemic stroke following mechanical thrombectomy in the NIS database. Insights gained from SHAP interpretation can inform targeted interventions and care plans, ultimately enhancing patient outcomes and resource allocation.

Preparing safe discharge in a complex practice: A qualitative study of nurses' approach to patients with COPD's hospital discharge from two pulmonary medicinal wards.

INTRODUCTION: It remains unclear why 17% of patients with acute exacerbations of chronic obstructive pulmonary disease (COPD) treated in Danish hospitals are readmitted within 30 days. Hospital discharge is multifaceted. However, the preparation process and nurses' efforts may be essential in ensuring a successful discharge. AIM: To explore the process of preparing discharge for patients with COPD in a hospital setting. METHOD: Using constructivist grounded theory, we observed 11 nurses' work at two pulmonary medical wards using participant observation. Data collection and analysis were conducted using a constant comparative process encompassing three phases: initial, focused and theoretical. RESULTS: We identified important perspectives influencing nurses when patients with COPD are discharged from two pulmonary medical wards. We generated a substantial theory of how nurses integrate various perspectives into their handling of hospital discharge. The theory contains three discharge approaches: co-creating, hesitating and socialising. The co-creating approach focuses on patient and relative involvement and systematic task solution, embedded in a biopsychosocial process, aiming to achieve a safe and sustainable discharge. In contrast, the hesitating approach focuses on discharging patients in line with system requirements and colleagues' expectations. Finally, the socialising approach focuses on creating a pleasant discharge experience for patients and colleagues alike. CONCLUSION: This study illuminates three distinct approaches adopted by nurses when discharging a patient with COPD. The co-creating process encompasses patient involvement and systematic task resolution, incorporating a biopsychosocial process. In contrast, the other approaches are more limited in scope: the hesitating approach aims for harmony and collegial consensus, while the socialising approach focuses on ensuring a pleasant discharge experience for everyone. Nurses should therefore be mindful of the approach they adopt and the values associated with it in order to optimise their management of hospital discharge processes.

Optimising Transitional Care Following a Heart Failure Hospitalisation in Australia.

Hospitalisations for heart failure (HF) are associated with high rates of readmission and death, the most vulnerable period being within the first few weeks post-hospital discharge. Effective transition of care from hospital to community settings for patients with HF can help reduce readmission and mortality over the vulnerable period, and improve long-term outcomes for patients, their family or carers, and the healthcare system. Planning and communication underpin a seamless transition of care, by ensuring that the changes to patients' management initiated in hospital continue to be implemented following discharge and in the long term. This evidence-based guide, developed by a multidisciplinary group of Australian experts in HF, discusses best practice for achieving appropriate and effective transition of patients hospitalised with HF to community care in the Australian setting. It provides guidance on key factors to address before and after hospital discharge, as well as practical tools that can be used to facilitate a smooth transition of care.

Perspectives of family caregivers and nurses on hospital discharge transitional care for Muslim older adults living with COPD: a qualitative study.

BACKGROUND: The increased number of emergency department visits among older adults living with chronic obstructive pulmonary disease reflects the challenges of hospital discharge transition, especially in those from a cultural minority. The barriers and facilitators of this discharge from the perspective of formal and informal care providers, such as nurses and family caregivers, are important to identify to provide effective symptom management and quality of care. The purpose of this study was to describe the barriers and facilitators in caring for Muslim older adults with chronic obstructive pulmonary disease (COPD) during hospital discharge transitional care. METHODS: A descriptive qualitative study was conducted in a hospital of Thailand where Muslim people are a cultural minority. Thirteen family caregivers of Muslim older adults living with COPD and seven nurses were purposively recruited and participated in semi-structured interviews and focus group discussions. Content analysis was used to analyze the data. RESULTS: Five barriers and three facilitating factors of transitional care for Muslim older adults living with COPD were outlined. Barriers included: (1) lack of knowledge about the causes and management of dyspnea, (2) inadequate discharge preparation, (3) language barrier, (4) discontinuity of care, and (5) COVID-19 epidemic. Facilitators included: (1) the ability to understand Malayu language, (2) the presence of healthcare professionals of the same gender, and (3) the presence of Muslim healthcare providers. CONCLUSION: Family caregivers require more supportive care to meet the care needs of Muslim older adults living with COPD. Alternative nurse-based transitional care programs for these older adult caregivers should be developed.

Effects of an Oral Stimulation Program on Feeding Outcomes in Preterm Infants: A Systematic Review and Meta-Analysis.

AIMS: To review the literature on the effects of unimodal sensorimotor stimulation protocols on feeding outcomes in very preterm and moderate to late preterm infants (PIs). METHODS: Five databases were searched up to April 2022. Studies comparing unimodal sensorimotor stimulation protocols based on the combination of manual oral stimulation with NNS against usual care in PIs, on-time transition to full oral feeding (FOF), feeding efficacy, length of hospital stay, and/or body weight gain. RESULTS: Eleven studies were included. Compared to usual care, unimodal sensorimotor stimulation protocols based on manual oral stimulation combined with NNS demonstrated to be more effective in decreasing time transition to FOF (standardized mean difference [95%CI] - 1.08 [-1.74, -0.41]), improving feeding efficacy (2.15 [1.18, 3.13]) and shortening length of hospital stay (-0.35 [-0.68, -0.03]). However, the proposed intervention was not effective in improving weight gain (0.27 [-0.40, 0.95]). There were no significant differences according to gestational age (p > .05). CONCLUSIONS: Based on fair-to-high quality evidence, unimodal sensorimotor stimulation protocols combined with NNS reduce time transition to FOF, improve feeding efficacy, and shorten the length of hospital stay; yet the proposed intervention yielded no significant effects on body weight gain when compared to usual care in PIs.

[Temporal analysis of the prevalence of congenital hypospadias in the municipality of Gela]. / Analisi temporale della prevalenza di ipospadia congenita nel comune di Gela.

OBJECTIVES: to evaluate the risk profile of hypospadias in Gela, an Italian National Priority Contaminated Site (NPCS) located in Sicily Region (Southern Italy), characterized by a significant excess of hypospadias in newborn residents compared to data from reference on regional, national, and international basis and, until 2014, by the presence of a petrochemical plant. DESIGN: geographical analyses were conducted by comparing the prevalence of the Gela municipality to prevalence found in Sicily, in a territorial area bordering Gela (ALG), and in the NPCSs of Milazzo and Priolo. The geographical comparisons were conducted for the period 2010-2020, the trend within the Gela NPCS was evaluated by comparing two subperiods (2010-2014 and 2015-2020). SETTING AND PARTICIPANTS: children up to 1 year of age with hypospadias resident in the municipality of Gela in the period 2010-2020. MAIN OUTCOMES MEASURES: crude odds ratios (OR) and respective 95% confidence intervals (95%CI) were used to compare the prevalence observed in Gela and that detected in the comparison areas. RESULTS: excess risk for hypospadias was highlighted in 2010-2020 in Gela vs Sicily (OR 4.45; 95%CI 3.45-5.75), vs ALG (OR 4.29; 95%CI 3.02-6.10), and vs the NPCSs of Milazzo (OR 2.32; 95%CI 1.32-4.07) and Priolo (OR 2.37; 95%CI 1.55-3.62). The between-period comparisons in Gela did not show an important difference between 2010-2014 and 2015-2020 (OR 1.37; 95%CI 0.83-2.24), with a prevalence of 98.9 and 72.4 per 10,000, respectively. CONCLUSIONS: the prevalence of hypospadias in 2015-2020 remains very high, although decreasing when compared to 2010-2014 period. The Gela data, despite the refinery being closed after 2014, suggest a complex situation in which multiple risk factors may play a role.

Reducing HIV-associated post-hospital mortality through home-based care in South Africa: a randomized controlled trial.

BACKGROUND: Twenty-three percent of people with HIV (PWH) die within 6-months of hospital discharge. We tested the hypothesis whether a series of structured home visits could reduce mortality. METHODS: We designed a disease neutral home visit package with up to 6 home visits starting 1-week post-hospitalization and every 2 weeks thereafter. The home visit team used a structured assessment algorithm to evaluate and triage social and medical needs of the participant and provide nutritional support. We compared all-cause mortality 6-months following discharge for the intervention compared to usual care in a pilot randomized trial conducted in South Africa. To inform potential scale-up we also included and separately analyzed a group of people without HIV (PWOH). RESULTS: We enrolled 125 people with HIV and randomized them 1:1 to the home visit intervention or usual care. Fourteen were late exclusions because of death prior to discharge or delayed discharge leaving 111 for analysis. The median age was 39 years, 31% were men; and 70% had advanced HIV disease. At six months among PWH 4 (7.3%) in the home visit arm and 10 (17.9%) in the usual care arm (p = 0.09) had died. Among the 70 PWOH enrolled overall 6-month mortality was 10.1%. Of those in the home visit arm, 91% received at least one home visit. CONCLUSIONS: We demonstrated feasibility of delivering post-hospital home visits and demonstrated preliminary efficacy among PWH with a substantial, but not statistically significant, effect size (59% reduction in mortality). COVID-19 related challenges resulted in under-enrollment.

Plasmid-mediated quinolone resistance genes detected in Ciprofloxacin non-susceptible Escherichia coli and Klebsiella isolated from children under five years at hospital discharge, Kenya.

BACKGROUND: The increasing spread of fluoroquinolone resistant enteric bacteria is a global public health concern. Children recently discharged from the hospital are at high risk of carriage of antimicrobial resistance (AMR) due to frequent exposure to antimicrobials during inpatient stays. This study aimed to determine the prevalence, correlates of ciprofloxacin (CIP) non-susceptibility, and distribution of plasmid-mediated quinolone resistance (PMQR) genes in Escherichia coli (E. coli) and Klebsiella spp isolated from children under five years being discharged from two Kenyan Hospitals. METHODS: E. coli and Klebsiella spp were isolated from fecal samples from children discharged from hospital and subjected to antimicrobial susceptibility testing (AST) by disc diffusion and E-test. CIP non-susceptible isolates were screened for seven PMQR genes using multiplex polymerase chain reaction (PCR). Poisson regression was used to determine the association between the carriage of CIP non-susceptible isolates and patient characteristics. RESULTS: Of the 280 CIP non-susceptible isolates: 188 E. coli and 92 Klebsiella spp isolates identified among 266 discharged children, 195 (68%) were CIP-non-susceptible with minimum inhibitory concentrations (MICs) of ≥ 1 µg/mL. Among these 195 isolates, 130 (67%) had high-level CIP MIC = ≥ 32 µg/mL). Over 80% of the isolates had at least one PMQR gene identified: aac(6')lb-cr (60%), qnrB (24%), oqxAB (22%), qnrS (16%), and qepA (6%), however, qnrA was not identified in any isolates tested. Co-carriage of qnrB with acc(6')-lb-cr was the most predominant accounting for 20% of all the isolates. Ceftriaxone use during hospital admission and the presence of extended spectrum beta-lactamase (ESBL) production were significantly associated with the carriage of CIP non-susceptible E. coli and Klebsiella spp. CONCLUSION: CIP non-susceptibility is common among E. coli and Klebsiella spp isolated from hospital discharged children in Kenya. Carriage and co-carriage of PMQR, including the newly identified qepA gene, were frequently observed. These findings suggest that children leaving the hospital may serve as an important reservoir for transmission of resistant E. coli and Klebsiella spp to the community. Enhanced surveillance for AMR determinants is critical to inform interventions to control antimicrobial-resistant bacteria.

Association of an Acute Kidney Injury Follow-up Clinic With Patient Outcomes and Care Processes: A Cohort Study.

RATIONALE & OBJECTIVE: To determine whether attendance at an acute kidney injury (AKI) follow-up clinic is associated with reduced major adverse kidney events. STUDY DESIGN: Propensity-matched cohort study. SETTING & PARTICIPANTS: Patients hospitalized with AKI in Ontario, Canada, from February 1, 2013, through September 30, 2017, at a single clinical center, who were not receiving dialysis when discharged. EXPOSURE: Standardized assessment by a nephrologist. OUTCOMES: Time to a major adverse kidney event, defined as death, initiation of maintenance dialysis, or incident/progressive chronic kidney disease. ANALYTICAL APPROACH: Propensity scores were used to match each patient who attended an AKI follow-up clinic to 4 patients who received standard care. Cox proportional hazards models were fit to assess the association between the care within an AKI follow-up clinic and outcomes. To avoid immortal time bias, we randomly assigned index dates to the comparator group. RESULTS: We matched 164 patients from the AKI follow-up clinic to 656 patients who received standard care. During a mean follow-up of 2.2±1.3 (SD) years, care in the AKI follow-up clinic was not associated with a reduction in major adverse kidney events relative to standard care (22.1 vs 24.7 events per 100 patient-years; HR, 0.91 [95% CI, 0.75-1.11]). The AKI follow-up clinic was associated with a lower risk of all-cause mortality (HR, 0.71 [95% CI, 0.55-0.91]). Patients aged at least 66 years who attended the AKI follow-up clinic were more likely to receive ß-blockers (HR, 1.34 [95% CI, 1.02-1.77]) and statins (HR, 1.35 [95% CI, 1.05-1.74]), but not angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (HR, 1.21 [95% CI, 0.94-1.56]). LIMITATIONS: Single-center study and residual confounding. CONCLUSIONS: Specialized postdischarge follow-up for AKI survivors was not associated with a lower risk of major adverse kidney events but was associated with a lower risk of death and increased prescriptions for some cardioprotective medications.

Association of Polypharmacy and Anticholinergic Burden with Length of Stay in Hospital Amongst Older Adults Admitted with Hip Fractures: A Retrospective Observational Study.

BACKGROUND: Age-associated multimorbidity and polypharmacy, predispose individuals to falls and consequent hip fractures. We examined the impact of polypharmacy (≥ 4 drugs daily), including anticholinergic agents, on hospital length of stay (LOS), mobility within 1-day of hip surgery and pressure ulcers in adults ≥ 60 years admitted with hip fractures. METHODS: In this retrospective observational study, information on medications at admission was obtained to calculate the total number of drugs taken, including those imposing an anticholinergic burden (ACB). Associations between variables were examined by logistic regression; adjusted for age, sex, co-morbidities, pre-fracture functional limitations and alcohol consumption. RESULTS: There were 787 women and 318 men of similar mean age (± SD): 83.1 years (± 8.6) and 82.5 years (± 9.0), respectively. Compared to patients with an ACB score = 0 and taking < 4 drugs daily, those with an ACB score ≥ 1 and taking ≥ 4 drugs daily had greater risk of prolonged LOS (≥ 2 weeks), OR 1.8 (1.2-2.7); failure to mobilise within 1-day of surgery, OR 1.9 (1.1-3.3); and pressure ulcers, OR 3.0 (95% CI 1.2-7.9). LOS was further prolonged by failure to mobilise within 1-day of surgery and/or pressure ulcers. Those with either an ACB score ≥ 1 or the use of ≥ 4 drugs daily had intermediate risks. CONCLUSIONS: Anticholinergic agents and polypharmacy in patients with hip fractures are associated with longer LOS in hospital, further accentuated by failure to mobilise within 1-day after surgery and pressure ulcers. This study provides further evidence of the impact of polypharmacy, including those with an ACB, on adverse health outcomes and lends support to reduce potentially inappropriate prescribing.