Obstetric outcomes among rural parturients across US urban and rural hospitals.

INTRODUCTION: The objective of this study is to evaluate severe maternal morbidity (SMM) of rural parturients delivering at rural compared to urban hospitals in the US. METHODS: We identified patients aged 18-40 years in a multi-institutional claims database who lived in a rural ZIP code and delivered at a rural or urban hospital between October-December of 2015 and October-December of 2022. The primary outcome was SMM, and the secondary outcome was SMM exclusive of blood transfusions. We combined exact ZIP code matching and propensity score matching to compare SMM risk among patients living in the same rural community and delivering in urban as compared to rural hospitals. RESULTS: A total of 214 296 patients from 571 ZIP codes were identified, including 47% delivering at rural facilities and 53% delivering at urban facilities. The SMM rate was 1.1% (0.3% excluding blood transfusions). After matching, urban versus rural delivery was associated with increased odds of SMM other than blood transfusion (odds ratio 2.44; 95% confidence interval 1.81-3.28), but was not associated with differences in risk of any SMM. CONCLUSION: There was no evidence of reduced SMM for rural patients delivering at an urban rather than a rural hospital. SMM exclusive of blood transfusions was increased for rural patients delivering at urban hospitals after matching on ZIP code and predictors of urban hospital delivery. Our findings undermine the assumption that delivery at a rural facility has inherently greater risks relative to delivery at an urban facility. As some health systems face challenges to maintain rural labor and delivery units, patient safety must be considered if confronted with the possibility of unit or hospital closures.

Factors in postoperative length of hospital stay among surgical patients in a rural Ethiopian hospital: an observational study.

Introduction: surgical site infection is associated with longer postoperative hospital stays. We explored factors associated with longer postoperative hospital stays among patients in the surgical ward of a primary rural hospital in Ethiopia, where laboratory facilities for microbiological confirmation of surgical site infections were not available. Methods: an observational study was performed for patients ≥ 18 years of age who underwent elective or emergency surgery from 22nd June 2017 to 19th July 2018. Data were taken from paper-based medical records and patient interviews. The primary outcome was postoperative length of hospital stay. Data were analyzed by multivariable linear regression using Stata software, version 13. Results: seventy-five patients were enrolled, sociodemographic data was obtained from 14 of these patients by interview, and 44 patients had complete outcome and covariate data and were included in regression analysis. Median length of preoperative hospital stay was 3.0 (interquartile range 2.0) days. Postoperative length of hospital stay was longer by 3.8 days (95% confidence interval (CI) 1.05-6.55; p=0.008), 4.7 days (95% CI 1.64-7.66; p=0.004), and 5.9 days (95% CI 2.70-9.02; p=0.001), for patients 35-54 years, 55-64 years and the 65+ years respectively, compared to patients who were 18-34 years of age. Patients who received preoperative antibiotics stayed 5.3 days longer (95% CI 1.67-8.87; p=0.005) compared to those who were not given preoperative antibiotics. Conclusion: age and improper use of preoperative antibiotics compound the risk for postoperative length of stay. Infection prevention protocols, including staff training, and surveillance for surgical site infections are critical for improving hospital outcomes.

Rural Hospital Performance in Guideline-Recommended Ischemic Stroke Thrombolysis, Secondary Prevention, and Outcomes.

BACKGROUND: Existing data suggested a rural-urban disparity in thrombolytic utilization for ischemic stroke. Here, we examined the use of guideline-recommended stroke care and outcomes in rural hospitals to identify targets for improvement. METHODS: This retrospective cohort study included patients (aged ≥18 years) treated for acute ischemic stroke at Get With The Guidelines-Stroke hospitals from 2017 to 2019. Multivariable mixed-effect logistic regression was used to compare thrombolysis rates, speed of treatment, secondary stroke prevention metrics, and outcomes after adjusting for patient- and hospital-level characteristics and stroke severity. RESULTS: Among the 1 127 607 patients admitted to Get With The Guidelines-Stroke hospitals in 2017 to 2019, 692 839 patients met the inclusion criteria. Patients who presented within 4.5 hours were less likely to receive thrombolysis in rural stroke centers compared with urban stroke centers (31.7% versus 43.5%; adjusted odds ratio [aOR], 0.72 [95% CI, 0.68-0.76]) but exceeded rural nonstroke centers (22.1%; aOR, 1.26 [95% CI, 1.15-1.37]). Rural stroke centers were less likely than urban stroke centers to achieve door-to-needle times of ≤45 minutes (33% versus 44.7%; aOR, 0.86 [95% CI, 0.76-0.96]) but more likely than rural nonstroke centers (aOR, 1.24 [95% CI, 1.04-1.49]). For secondary stroke prevention metrics, rural stroke centers were comparable to urban stroke centers but exceeded rural nonstroke centers (aOR of 1.66, 1.94, 2.44, 1.5, and 1.72, for antithrombotics within 48 hours of admission, antithrombotics at discharge, anticoagulation for atrial fibrillation/flutter, statin treatment, and smoking cessation, respectively). In-hospital mortality was similar between rural and urban stroke centers (aOR, 1.11 [95% CI, 0.99-1.24]) or nonstroke centers (aOR, 1.00 [95% CI, 0.84-1.18]). CONCLUSIONS: Rural hospitals had lower thrombolysis utilization and slower treatment times than urban hospitals. Rural stroke centers provided comparable secondary stroke prevention treatment to urban stroke centers and exceeded rural nonstroke centers. These results reveal important opportunities and specific targets for rural health equity interventions.

Rurality and patients' hospital experience: A multisite analysis from a US healthcare system.

BACKGROUND: The association between rurality of patients' residence and hospital experience is incompletely described. The objective of the study was to compare hospital experience by rurality of patients' residence. METHODS: From a US Midwest institution's 17 hospitals, we included 56,685 patients who returned a post-hospital Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. We defined rurality using rural-urban commuting area codes (metropolitan, micropolitan, small town, rural). We evaluated the association of patient characteristics with top-box score (favorable response) for 10 HCAHPS items (six composite, two individual, two global). We obtained adjusted odds ratios (aOR [95% CI]) from logistic regression models including patient characteristics. We used key driver analysis to identify associations between HCAHPS items and global rating (combined overall rating of hospital and recommend hospital). RESULTS: Of all items, overall rating of hospital had lower odds of favorable response for patients from metropolitan (0.88 [0.81-0.94]), micropolitan (0.86 [0.79-0.94]), and small towns (0.90 [0.82-0.98]) compared with rural areas (global test, P = .003). For five items, lower odds of favorable response was observed for select areas compared with rural; for example, recommend hospital for patients from micropolitan (0.88 [0.81-0.97]) but not metropolitan (0.97 [0.89-1.05]) or small towns (0.93 [0.85-1.02]). For four items, rurality showed no association. In metropolitan, micropolitan, and small towns, men vs. women had higher odds of favorable response to most items, whereas in rural areas, sex-based differences were largely absent. Key driver analysis identified care transition, communication about medicines and environment as drivers of global rating, independent of rurality. CONCLUSIONS: Rural patients reported similar or modestly more favorable hospital experience. Determinants of favorable experience across rurality categories may inform system-wide and targeted improvement.

Disparities in outpatient rural cholecystectomy outcomes.

BACKGROUND: Previous studies showed comparable outcomes for common in-patient general surgery operations, but it is unknown if this extends to outpatient operations. Our aim was to compare outpatient cholecystectomy outcomes between rural and urban hospitals. METHODS: A retrospective cohort analysis was done using the Nationwide Ambulatory Surgery Sample for patients 20-years-and-older undergoing cholecystectomy between 2016 and 2018 â€‹at rural and urban hospitals. Survey-weighted multivariable regression analysis was performed with primary outcomes including use-of-laparoscopy, complications, and patient discharge disposition. RESULTS: The most common indication for operation was cholecystitis in both hospital settings. On multivariable analysis, rural hospitals were associated with higher transfers to short-term hospitals (adjusted odds ratio [aOR] 2.40, 95%CI 1.61-3.58, p â€‹< â€‹0.01) and complications (aOR 1.39, 95%CI 1.11-1.75, p â€‹< â€‹0.01). No difference was detected with laparoscopy (aOR 1.93, 95%CI 0.73-5.13, p â€‹= â€‹0.19), routine discharge (aOR 1.50, 95%C I0.91-2.45, p â€‹= â€‹0.11), or mortality (aOR 3.23, 95%CI 0.10-100.0, p â€‹= â€‹0.51). CONCLUSIONS: Patients cared for at rural hospitals were more likely to be transferred to short-term hospitals and have higher complications. No differences were detected in laparoscopy, routine discharge or mortality.

Comparing resident operative volumes for routine general surgery cases at academic, urban community, and rural training sites.

BACKGROUND: Surgical training traditionally took place at academic centres, but changed to incorporate community and rural hospitals. As little data exist comparing resident case volumes between these locations, the objective of this study was to determine variations in these volumes for routine general surgery procedures. METHODS: We analyzed senior resident case logs from 2009 to 2019 from a general surgery residency program. We classified training centres as academic, community, and rural. Cases included appendectomy, cholecystectomy, hernia repair, bowel resection, adhesiolysis, and stoma formation or reversal. We matched procedures to blocks based on date of case and compared groups using a Poisson mixed-methods model and 95% confidence intervals (CIs). RESULTS: We included 85 residents and 28 532 cases. Postgraduate year (PGY) 3 residents at academic sites performed 10.9 (95% CI 10.1-11.6) cases per block, which was fewer than 14.7 (95% CI 13.6-15.9) at community and 15.3 (95% CI 14.2-16.5) at rural sites. Fourth-year residents (PGY4) showed a greater difference, with academic residents performing 8.7 (95% CI 8.0-9.3) cases per block compared with 23.7 (95% CI 22.1-25.4) in the community and 25.6 (95% CI 23.6-27.9) at rural sites. This difference continued in PGY5, with academic residents performing 8.3 (95% CI 7.3-9.3) cases per block, compared with 18.9 (95% CI 16.8-21.0) in the community and 14.5 (95% CI 7.0-21.9) at rural sites. CONCLUSION: Senior residents performed fewer routine cases at academic sites than in community and rural centres. Programs can use these data to optimize scheduling for struggling residents who require exposure to routine cases, and help residents complete the requirements of a Competence by Design curriculum.

Primary Total Knee and Total Hip Arthroplasty in the Rural Patient.

Rural patients have poorer health indicators, including higher risk of developing osteoarthritis. The objective of this study is to compare rural patients undergoing primary total joint arthroplasty (TJA) at rural hospitals with those undergoing primary TJA at urban hospitals with regards to demographics, comorbidities, and complications and to determine the preferred location of care for rural patients. Data from the Healthcare Cost and Utilization Project National Inpatient Sample between 2016 and 2018 were analyzed. Demographics, comorbidities, inpatient complications, hospital length of stay, inpatient mortality, and discharge disposition were compared between rural patients who underwent TJA at rural hospitals and urban hospitals. Rural patients undergoing primary TJA in rural hospitals were more likely to be women, to be treated in the South, to have Medicaid payer status, to have dementia, diabetes mellitus, lung disease, and postoperative pulmonary complications, and to have a longer hospital length of stay. Those patients were also less likely to have baseline obesity, heart disease, kidney disease, liver disease, cancer, postoperative infection, and cardiovascular complications, and were less likely to be discharged home. Rural patients undergoing primary TJA tend to pursue surgery in their rural hospital when their comorbidity profile is manageable. These patients get their surgery performed in an urban setting when they have the means for travel and cost, and when their comorbidity profile is more complicated, requiring more specialized care, Rural patients are choosing to undergo their primary TJA in urban hospitals as opposed to their local rural hospitals. (Journal of Surgical Orthopaedic Advances 33(2):061-067, 2024).

Comparative analysis of patient demographics, perioperative outcomes, and adverse events after lumbar spinal fusion between urban and rural hospitals: an analysis of the National Inpatient Sample (NIS) database.

OBJECTIVE: Rural location of a patient's primary residence has been associated with worse clinical and surgical outcomes due to limited resource availability in these parts of the US. However, there is a paucity of literature investigating the effect that a rural hospital location may have on these outcomes specific to lumbar spine fusions. METHODS: Using the National Inpatient Sample (NIS) database, we identified all patients who underwent primary lumbar spinal fusion in the years between 2009 and 2020. Patients were separated according to whether the operative hospital was considered rural or urban. Univariable and multivariable regression models were used for data analysis. RESULTS: Of 2,863,816 patients identified, 120,298 (4.2 %) had their operation at a rural hospital, with the remaining in an urban hospital. Patients in the urban cohort were younger (P < .001), more likely to have private insurance (39.81 % vs 31.95 %, P < .001), and fewer of them were in the first (22.52 % vs 43.00 %, P < .001) and second (25.96 % vs 38.90 %, P < .001) quartiles of median household income compared to the rural cohort. The urban cohort had significantly increased rates of respiratory (4.49 % vs 3.37 %), urinary (5.25 % vs 4.15 %), infectious (0.49 % vs 0.32 %), venous thrombotic (0.57 % vs 0.24 %, P < .001), and neurological (0.79 % vs 0.36 %) (all P < .001) perioperative complications. On multivariable analysis, the urban cohort had significantly increased odds of the same perioperative complications: respiratory (odds ratio[OR] = 1.48; 95 % confidence interval [CI], 1.26-1.74), urinary (OR = 1.34; 95 %CI, 1.20-1.50), infection (OR = 1.63; 95 %CI, 1.23-2.17), venous thrombotic (OR = 1.79; 95 %CI, 1.32-2.41), neurological injury (OR = 1.92; 95 %CI, 1.46-2.53), and localized infection (OR = 1.65; 95 %CI, 1.25-2.17) (all P < .001). CONCLUSIONS: Patients undergoing lumbar fusions experience significantly different outcomes based on the rural or urban location of the operative hospital.

Characteristics of Patients Hospitalized in Rural and Urban ICUs From 2010 to 2019.

OBJECTIVES: Rural hospitals are threatened by workforce shortages and financial strain. To optimize regional critical care delivery, it is essential to understand what types of patients receive intensive care in rural and urban hospitals. DESIGN: A retrospective cohort study. SETTING AND PATIENTS: All fee-for-service Medicare beneficiaries in the United States who were 65 years old or older hospitalized in an ICU between 2010 and 2019 were included. Rural and urban hospitals were classified according to the 2013 National Center For Health Statistics Urban-Rural Classification Scheme for Counties. Patient comorbidities, primary diagnoses, organ dysfunction, and procedures were measured using the International Classification of Diseases , 9th and 10th revisions diagnosis and procedure codes. Standardized differences were used to compare rural and urban patient admission characteristics. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: There were 12,224,097 ICU admissions between 2010 and 2019, and 1,488,347 admissions (12.2%) were to rural hospitals. The most common diagnoses in rural hospitals were cardiac (30.3%), infectious (24.6%), and respiratory (10.9%). Patients in rural ICUs had similar organ dysfunction compared with urban hospitals (mean organ failures in rural ICUs 0.5, sd 0.8; mean organ failures in urban ICUs 0.6, sd 0.9, absolute standardized mean difference 0.096). Organ dysfunction among rural ICU admissions increased over time (0.4 mean organ failures in 2010 to 0.7 in 2019, p < 0.001). CONCLUSIONS: Rural hospitals care for an increasingly complex critically ill patient population with similar organ dysfunction as urban hospitals. There is a pressing need to develop policies at federal and regional healthcare system levels to support the continued provision of high-quality ICU care within rural hospitals.

Rural Hospitals Experienced More Patient Volume Variability Than Urban Hospitals During The COVID-19 Pandemic, 2020-21.

Fluctuations in patient volume during the COVID-19 pandemic may have been particularly concerning for rural hospitals. We examined hospital discharge data from the Healthcare Cost and Utilization Project State Inpatient Databases to compare data from the COVID-19 pandemic period (March 8, 2020-December 31, 2021) with data from the prepandemic period (January 1, 2017-March 7, 2020). Changes in average daily medical volume at rural hospitals showed a dose-response relationship with community COVID-19 burden, ranging from a 13.2 percent decrease in patient volume in periods of low transmission to a 16.5 percent increase in volume in periods of high transmission. Overall, about 35 percent of rural hospitals experienced fluctuations exceeding 20 percent (in either direction) in average daily total volume, in contrast to only 13 percent of urban hospitals experiencing similar magnitudes of changes. Rural hospitals with a large change in average daily volume were more likely to be smaller, government-owned, and critical access hospitals and to have significantly lower operating margins. Our findings suggest that rural hospitals may have been more vulnerable operationally and financially to volume shifts during the pandemic, which warrants attention because of the potential impact on these hospitals' long-term sustainability.

Exploring COVID-19 census burdens by US hospital characteristics: Implications of quality reporting at rural and critical access hospitals.

PURPOSE: By assessing longitudinal associations between COVID-19 census burdens and hospital characteristics, such as bed size and critical access status, we can explore whether pandemic-era hospital quality benchmarking requires risk-adjustment or stratification for hospital-level characteristics. METHODS: We used hospital-level data from the US Department of Health and Human Services including weekly total hospital and COVID-19 censuses from August 2020 to August 2023 and the 2021 American Hospital Association survey. We calculated weekly percentages of total adult hospital beds containing COVID-19 patients. We then calculated the number of weeks each hospital spent at Extreme (≥20% of beds occupied by COVID-19 patients), High (10%-19%), Moderate (5%-9%), and Low (<5%) COVID-19 stress. We assessed longitudinal hospital-level COVID-19 stress, stratified by 15 hospital characteristics including joint commission accreditation, bed size, teaching status, critical access hospital status, and core-based statistical area (CBSA) rurality. FINDINGS: Among n = 2582 US hospitals, the median(IQR) weekly percentage of hospital capacity occupied by COVID-19 patients was 6.7%(3.6%-13.0%). 80,268/213,383 (38%) hospital-weeks experienced Low COVID-19 census stress, 28% Moderate stress, 22% High stress, and 12% Extreme stress. COVID-19 census burdens were similar across most hospital characteristics, but were significantly greater for critical access hospitals. CONCLUSIONS: US hospitals experienced similar COVID-19 census burdens across multiple institutional characteristics. Evidence-based inclusion of pandemic-era outcomes in hospital quality reporting may not require significant hospital-level risk-adjustment or stratification, with the exception of rural or critical access hospitals, which experienced differentially greater COVID-19 census burdens and may merit hospital-level risk-adjustment considerations.

Operative Epidemiology of the First Five Years in a New African Neurosurgery Training Center: The Experience in Rural Kenya at Tenwek Hospital 2016 to 2021.

BACKGROUND: One strategy to increase the availability of neurosurgical services in underserved regions within Sub-Saharan African countries is to create new residency training programs outside of cosmopolitan cities where programs may already exist. In 2016 Tenwek Hospital in rural western Kenya began offering full-time neurosurgical services and in 2020 inaugurated a residency training program. This review highlights the operative epidemiology of the first 5 years of the hospital's neurosurgical department. METHODS: A retrospective review of all cases performed by a neurosurgeon at Tenwek Hospital between September 2016 and February 2022 was performed. Patient demographics, surgical indications, length of stay, and in-hospital mortality rates were collected. RESULTS: A total of 1756 cases were retrievable. Of these, 1006 (57.3%) were male and mean age was 30 years (range 1 day to 97 years). Mean length of stay was 11 ± 2 days and in-hospital mortality rate was 4.4% (77 patients). The most common pathologies in children comprised hydrocephalus and spina bifida (42.5% and 21.1%, respectively); in adults, cranial trauma (28.2%), oncology (25.2%), and degenerative spine (18.5%) were most common. Trauma was the leading cause of death. CONCLUSIONS: The neurosurgical caseload of a rural hospital in an underserved area can provide not only an adequate neurosurgical volume, but a robust and varied exposure that is necessary for training safe and competent surgeons who are willing to remain in their countries of origin.

Quality improvement initiative: improving obstetric triaging practices in a rural maternal hospital in central India.

Triaging of obstetric patients by emergency care providers is paramount. It helps provide appropriate and timely management to prevent further injury and complications. Standardised trauma acuity scales have limited applicability in obstetric triage. Specific obstetric triage index tools improve maternal and neonatal outcomes but remain underused. The aim was to introduce a validity-tested obstetric triage tool to improve the percentage of correctly triaged patients (correctly colour-coded in accordance with triage index tool and attended to within the stipulated time interval mandated by the tool) from the baseline of 49% to more than 90% through a quality improvement (QI) process.A team of nurses, obstetricians and postgraduates did a root cause analysis to identify the possible reasons for incorrect triaging of obstetric patients using process flow mapping and fish bone analysis. Various change ideas were tested through sequential Plan-Do-Study-Act (PDSA) cycles to address issues identified.The interventions included introduction and application of an obstetric triage index tool, training of triage nurses and residents. We implemented these interventions in eight PDSA cycles and observed outcomes by using run charts. A set of process, output and outcome indicators were used to track if changes made were leading to improvement.Proportion of correctly triaged women increased from the baseline of 49% to more than 95% over a period of 8 months from February to September 2020, and the results have been sustained in the last PDSA cycle, and the triage system is still sustained with similar results. The median triage waiting time reduced from the baseline of 40 min to less than 10 min. There was reduction in complications attributable to improper triaging such as preterm delivery, prolonged intensive care unit stay and overall morbidity. It can be thus concluded that a QI approach improved obstetric triaging in a rural maternity hospital in India.

Effects of Trauma Center Consolidation on Adult Trauma at a Rural Level 1 Trauma Center.

OBJECTIVE: The aim was to determine the impact of consolidation of two rural level 1 trauma centers on adult trauma patients presenting to the remaining level 1 trauma center. To our knowledge, a study assessing the impact of trauma center consolidation on adult trauma patients had yet to be performed. METHODS: A single institution, retrospective study was conducted at a rural level 1 trauma center. Adult trauma patients who presented to our center from January 2017 to January 2022 were included. The cohorts spanned 33 months pre- and post-consolidation. Multiple demographic and outcome measures were gathered. Data were analyzed using the student's t-test and Chi-squared testing. RESULTS: There was a 33% increase in overall trauma activations and 9% increase in transfers from outside facilities post-consolidation. The post-consolidation group was significantly older, had higher mean injury severity score, and decreased hospital-free days. The post-consolidation group also saw an increase in ICU admission and surgical intervention. While there were no significant differences in ICU-free days or ventilator days, patients in the post-consolidation group with the highest level of activation who required both surgical intervention and ICU admission experienced decreased mortality. CONCLUSION: The consolidation of trauma services to a single level 1 trauma center in a rural Appalachian health system led to higher trauma volume and acuity, but most importantly decreased mortality for the most severely injured trauma patients.

More Than Half of US Rural Hospitals No Longer Offer Birthing Services-Here's Why.

This Medical News article discusses a new report on labor and delivery department closures in the rural US as well as potential financial and workforce solutions.

Rural-Urban Differences in Mortality among Mechanically Ventilated Patients in Intensive and Intermediate Care.

Rationale: Intermediate care (also termed "step-down" or "moderate care") has been proposed as a lower cost alternative to care for patients who may not clearly benefit from intensive care unit admission. Intermediate care units may be appealing to hospitals in financial crisis, including those in rural areas. Outcomes of patients receiving intermediate care are not widely described. Objectives: To examine relationships among rurality, location of care, and mortality for mechanically ventilated patients. Methods: Medicare beneficiaries aged 65 years and older who received invasive mechanical ventilation between 2010 and 2019 were included. Multivariable logistic regression was used to estimate the association between admission to a rural or an urban hospital and 30-day mortality, with separate analyses for patients in general, intermediate, and intensive care. Models were adjusted for age, sex, area deprivation index, primary diagnosis, severity of illness, year, comorbidities, and hospital volume. Results: There were 2,752,492 hospitalizations for patients receiving mechanical ventilation from 2010 to 2019, and 193,745 patients (7.0%) were in rural hospitals. The proportion of patients in rural intermediate care increased from 4.1% in 2010 to 6.3% in 2019. Patient admissions to urban hospitals remained relatively stable. Patients in rural and urban intensive care units had similar adjusted 30-day mortality, at 46.7% (adjusted absolute risk difference -0.1% [95% confidence interval, -0.7% to 0.6%]; P = 0.88). However, adjusted 30-day mortality for patients in rural intermediate care was significantly higher (36.9%) than for patients in urban intermediate care (31.3%) (adjusted absolute risk difference 5.6% [95% confidence interval, 3.7% to 7.6%]; P < 0.001). Conclusions: Hospitalization in rural intermediate care was associated with increased mortality. There is a need to better understand how intermediate care is used across hospitals and to carefully evaluate the types of patients admitted to intermediate care units.

Lessons following implementation of a colorectal enhanced recovery after surgery (ERAS) protocol in a rural hospital setting.

INTRODUCTION: Enhanced recovery after surgery (ERAS) programs have become increasingly popular in the management of patients undergoing colorectal resection. However, the validity of ERAS in rural hospital settings without intensive care facilities has not been primarily evaluated. This study aimed to assess an ERAS protocol in a rural surgical department based in Invercargill New Zealand. METHODS: Ten years of prospectively collected data were analysed retrospectively from an ERAS database of all patients undergoing open, converted, or laparoscopic colorectal resections. Data were collected between two time periods: before the implementation of an ERAS protocol, from January 2011 to December 2013; as well as after the implementation of an ERAS protocol, from January 2014 to December 2020. The primary outcome measures were hospital length of stay (LOS) and LOS in the critical care unit (LOS-CCU). Secondary outcomes were compliance with ERAS protocol, mortality, readmission, and reoperation rates. RESULTS: A total of 118 and 558 colorectal resections were performed in the pre-ERAS and ERAS groups respectively. A statistically significant reduction in hospital LOS was achieved from a median of 8 to 7 days (P = 0.038) when comparing pre-ERAS to ERAS groups respectively. Furthermore, a significant reduction in re-operation rates was observed (7.6% vs. 3% in the ERAS group, P = 0.033) which was seen without a rise in readmission rates (13.6% vs. 13.6% in the ERAS group). CONCLUSION: The implementation of ERAS in a rural surgical setting is feasible, and these initial findings suggest ERAS adds value in optimizing the colorectal patient's surgical journey.

Time is brain, so we must BEFAST: Improving stroke identification and triage in a rural emergency department.

OBJECTIVE: Shoalhaven District Memorial Hospital is a rural (MM3) secondary hospital which is over an hour travel time from the nearest tertiary centre. The objective of the present study was to pilot the implementation of the BEFAST (Balance, Eyes, Face, Arms, Speech and Time) stroke screening tool at the ED, and determine whether its usage improved timely stroke detection. METHODS: During initial implementation and training (October-December 2019), triage nurses consulted with senior medical officers before activating stroke calls. Data were collected for the subsequent 24 months (January 2020-2022), and retrospective records for confirmed strokes during a 24-month period prior to BEFAST implementation (October 2017-2019) were also collected. The main outcome measures were triage category, CT scan result time, discharge destination, length of stay (LOS) and Modified Rankin Score (MRS). RESULTS: After BEFAST implementation, patients (n = 268) were three times more likely to be triaged at category 1 or 2, and door-to-CT scan time was reduced by 20.7 min on average. More patients were discharged to their usual residence and more quickly (LOS 7.9 vs 11.1 days). MRS 90 days after stroke was less, and patients were nearly twice as likely to experience an improvement in neurological symptoms. CONCLUSIONS: Patient outcomes were improved after implementation of the BEFAST stroke triage tool. More stroke patients were identified upon presentation to the ED, and in a timely fashion. For those with a stroke diagnosis, time-critical interventions can take place earlier, allowing patients to return home sooner, and with less disability.

Rural-urban disparities in the availability of hospital-based screening, medications for opioid use disorder, and addiction consult services.

INTRODUCTION: Hospitals are an ideal setting to stage opioid-related interventions with patients who are hospitalized due to overdose or other substance use-related complications. Transitional opioid programs-which initiate care and provide linkages upon discharge, such as screening, initiation of medications for opioid use disorder, and addiction consult services-have become the gold standard, but implementation has been uneven. The purpose of this study was to assess disparities in the availability of hospital-based transitional opioid programs, across rural and urban hospital settings in the United States. METHODS: Using hospital administrative data paired with county-level demographic data, we conducted bivariate and regression analyses to assess rural-urban differences in the availability of transitional opioid services including screening, addiction consult services, and MOUD in U.S general medical centers, controlling for hospital- and community-level factors. Our sample included 2846 general medical hospitals that completed the 2021 American Hospital Association (AHA) Annual Survey of Hospitals. Our primary outcomes were five self-reported measures: whether the hospital provided screening in the ED; provided screening in the inpatient setting; whether the hospital provided addiction consult services in the ED; provided addiction consult services in the inpatient setting; and whether the hospital provided medications for opioid use disorder. RESULTS: Rural hospitals did not have lower odds of screening for OUD or other SUDs than urban hospitals, but both micropolitan rural counties and noncore rural counties had significantly lower odds of having addiction consult services in either the ED (OR: 0.74, 95 % CI: 0.58, 0.95; OR: 0.68, 95 % CI: 0.50, 0.91) or inpatient setting (OR: 0.76, 95 % CI: 0.59, 0.97; OR: 0.68, 95 % CI: 0.50, 0.93), respectively, or of offering MOUD (OR: 0.69, 95 % CI: 0.52, 0.90; OR: 0.52, 95 % CI: 0.37, 0.74). CONCLUSIONS: Our study suggests that evidence-based interventions, such as medications for opioid use disorder and addiction consult services, are less often available in rural hospitals, which may contribute to rural-urban disparities in health outcomes secondary to OUD. A priority for population health improvement should be developing implementation strategies to support rural hospital adoption of transitional opioid programs.

Are patient volume and care level in teaching hospitals variables affecting clinical outcomes in adult intensive care units?

Teixeira et al. showed that patients admitted to the intensive care unit of a teaching hospital in a non-metropolitan region needed more support, had worse prognostic indices, and had a higher nursing workload in the first 24 hours of admission. In addition, worse outcomes, including mortality, need for dialysis, pressure injury, infection, prolonged mechanical ventilation, and prolonged hospital stay, were observed in the teaching hospital. Worse outcomes were more prevalent in the teaching hospital. Understanding the importance of teaching hospitals to implement well-established care protocols is critical. OBJECTIVE: To compare the clinical outcomes of patients admitted to the intensive care unit of teaching (HI) and nonteaching (without an academic affiliation; H2) hospitals. METHODS: In this prospective cohort study, adult patients hospitalized between August 2018 and July 2019, with a minimum length of stay of 24 hours in the intensive care unit, were included. Patients with no essential information in their medical records to evaluate the study outcomes were excluded. Resuslts: Overall, 219 patients participated in this study. The clinical and demographic characteristics of patients in H1 and H2 were similar. The most prevalent clinical outcomes were death, need for dialysis, pressure injury, length of hospital stay, mechanical ventilation >48 hours, and infection, all of which were more prevalent in the teaching hospital. CONCLUSION: Worse outcomes were more prevalent in the teaching hospital. There was no difference between the institutions concerning the survival rate of patients as a function of length of hospital stay; however, a difference was observed in intensive care unit admissions.