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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.

Introduction: National and state-based minimum data sets remain inadequate in providing a complete representation of emergency presentations, especially among paediatric asthma presentations. Thus, the aim of the study was to identify if a deficit exists in current emergency paediatric asthma hospital presentation datasets and how this may inform an understanding of childhood asthma in Victoria Methods: This retrospective cross-sectional study examined emergency hospital presentation data between 1 February 2017 and 31 January 2019. All paediatric (0-14 years) emergency asthma presentation data were collected from nine hospitals in south-western Victoria, Australia, using the Rural Acute Hospital Data Register (RAHDaR), which gathers both Victorian Emergency Minimum Dataset (VEMD) data from larger government hospitals, and non-VEMD data from smaller, more rural institutions., Results: Of the 854 emergency presentations identified for children with asthma aged 0-14 years, 540 (63.2%) were managed initially at larger government-reporting hospitals. A total of 314 (36.8%) emergency presentations were initially managed at emergency facilities, such as urgent care centres. Overall, it was found that a total 278 (32.5%) of all emergency presentations did not appear in current government datasets., Conclusion: The RAHDaR database, a complete register of data, captures all emergency presentations in south-western Victoria and highlights as much as a 33% deficit in the data currently available to inform asthma resource initiatives including policy development, funding allocation, prevention and management initiatives in Victoria. More accurate data from sources such as RAHDaR are essential to fill the now-evident data chasm.

Introduction: Atrial fibrillation (AF) is a major risk factor for ischaemic stroke and a common presentation in general practice. Scoring systems to guide antithrombotic treatment have been available since 1996, with the CHA2DS2-VASC in current use; however, little is known about adherence to guidelines in rural general practice. The purpose of this study was to determine whether patients in a rural population and with documented history of AF are prescribed antithrombotic treatment according to recognised guidelines., Methods: A retrospective cohort study of inpatients was performed at a rural country hospital in South Australia. All patients with an ICD-10 CM code at the time of discharge were selected from June 2008 to July 2013. This included both newly diagnosed AF as well cases with existing history of AF., Results: Among the 59 patients studied, 77% of patients received appropriate anticoagulation according to CHADS2 score and 83% according to CHA2DS2-VASC score., Conclusions: This study confirms that the guidelines are routinely followed in clinical practice in this rural population.

Introduction:   We present a unique pathway for care aimed specifically at spinal patients. As a result of the shift of the spoke direction from the existing hub-and-spoke model, patient care is being redirected successfully with great benefit to a rural department. Within the rural community, it is the spoke that is the main locality to which patients present and at which they are treated. Subspecialty procurement is often more central and located in tertiary referral centres outside of a rural position. This in itself can prove difficult to patients and their relatives because subspecialty treatment, when required, is often only accessed at tertiary referral centers, which can present travel difficulties to patients and their relatives. This is at a time of great vulnerability for patients and families when what is required is more stability and familiarity., Methods:   We conducted a retrospective cohort study between 15 December 2014 and 21 September 2016. We examined the number of patients that had been seen and treated in both an inpatient and outpatient setting after a change of departmental policy and the introduction of two designated spinal consultants into a rural trauma and orthopaedic hospital in the county of Suffolk in eastern England. Before this introduction, patients were transferred out from this rural setting where inpatient management was required and/or seen in outpatient departments in more central (hub) locations. Over this time, 1413 patients were seen on an elective basis by two spinal consultants and 199 by one of those consultants on an emergency basis., Results:   This has led to a fruitful integration of spinal care in the rural hospital setting with the introduction of a first-line on-call service, specialist spinal onsite support with commissioned outpatient and trauma facilities, thereby increasing the facilities in the rural hospital setting on a background of continued support from the hub specialist centre., Conclusions:   This novel approach improves support for existing trauma and orthopaedic surgery departments, increases commissioned facilities within the rural hospital setting and improves the care received on a more local level by patients developing spinal pathologies. This subspecialty service was previously only available within the more central, large city-based hub hospital. After the introduction of a subspecialty spine service, facilities within this spoke rural hospital have increased and access to these services is more available locally to the rural community. This has improved patient care dramatically.

Introduction: The purpose of this study was to describe policies on early elective delivery (EED) and vaginal birth after cesarean (VBAC) in rural US maternity hospitals and to measure whether hospital policies differ by staffing, facilities, or birth volume., Methods: Data came from a telephone survey, conducted among all rural maternity hospitals in nine US states from November 2013 to March 2014, to report on EED and VBAC at the hospital level. The associations between EED and VBAC and hospital characteristics were analyzed using χ2 and Fisher's exact tests., Results: Most rural maternal hospitals (70.1%) had a 'hard stop' EED policy, whereby elective delivery before 39 weeks gestation was prohibited. Less than half of the rural hospitals surveyed allowed VBACs (38.1%). Rural hospitals with a higher birth volume ( p= 0.001), with a dedicated obstetric operating room ( p< 0.001), and where obstetricians and certified nurse-midwives attended deliveries ( p= 0.010 and p= 0.030, respectively) were more likely to allow VBAC deliveries. Hospitals where family physicians and general surgeons attended deliveries were less likely to allow VBAC deliveries ( p= 0.002 and p= 0.040, respectively)., Conclusions: Most rural US maternity hospitals have a hard stop EED policy, consistent with evidence and guideline recommendations. Access to VBAC varies across rural settings, possibly owing to capacity limitations to provide this option. Further research is needed to determine whether and how best to safely implement national recommendations for EED and VBAC policies across a range of rural settings.

Hospital closures occur from time to time. These closures affect not only the patients that depend on the hospitals but also the economy in many rural areas. Many factors come into play when a hospital decides to shut off services. Although influencing reasons may vary, hospital closures are likely to be caused by financial shortfalls. In the USA recently, several rural hospitals have closed and many are on the verge of closing. The recent changes in the healthcare industry due to the new reforms are believed to have impacted certain small community and rural hospitals by putting them at risk of closure. In this article, we will discuss some of the highlights of the healthcare reforms and the events that followed, to relate how they may have affected the hospitals. We will also discuss what the future of these hospitals may look like and the necessary steps that the hospitals need to adopt to sustain themselves.

Introduction: The US Health Care and Social Services sector (North American Industrial Classification System 'sector 62') has become an extremely important component of the nation's economy, employing approximately 18 million workers and generating almost $753 billion in annual payrolls. At the county level, the health care and social services sector is typically the largest or second largest employer. Hospital employment is often the largest component of the sector's total employment. Hospital employment is particularly important to non-metropolitan or rural communities. A high quality healthcare sector serves to promote economic development and attract new businesses and to provide stability in economic downturns. The purpose of this study was to examine the intensity of hospital employment in rural counties relative to the nation as a whole using location quotients and to draw conclusions regarding how potential changes in Medicare and Medicaid might affect rural populations., Methods: Estimates for county-level hospital employment are not commonly available. Estimates of county-level hospital employment were therefore generated for all counties in the USA the Census Bureau's County Business Pattern Data for 2010. These estimates were used to generate location quotients for each county which were combined with demographic data to generate a profile of factors that are related to the magnitude of location quotients. The results were then used to draw inferences regarding the possible impact of the Patient Protection and Affordable Care Act 2010 (ACA) and the possible imposition of aspects of the Budget Control Act 2011 (BCA)., Results: Although a very high percentage of rural counties contain medically underserved areas, an examination of location quotients indicates that the percentage of the county workforce employed by hospitals in the most rural counties tends to be higher than for the nation as a whole, a counterintuitive finding. Further, when location quotients are regressed upon data related to poverty, county demographics, and the percentage of the population insured, a relationship between the proportion of the population over 65 years, the percentage of the population living in poverty, the percentage of the population without insurance and county density was found., Conclusion: The results of the analysis suggest that hospital employment in rural communities is higher than would be expected in the absence of programs that provide external funding to support hospital hiring. The most important public programs providing this support are Medicare and Medicaid. Social Security is another source of federal funding important for rural populations. Sequestration and other cuts in funding could impact rural communities significantly. This can be even worse in states that fail to expand Medicaid and in states that fail to increase Medicaid reimbursements for services important in rural communities.

Introduction: In population-based studies, transfers into hospitals and hospital deaths are typically considered to be indicators of potentially inappropriate care settings at the end of life. Despite a plethora of research into where people die, few studies have examined whether hospital transfers at the end of life differ in rural versus urban areas. In the present study hospitalizations in the last month before death in one mid-Western Canadian province were examined. The study had three main objectives, to: (1) compare hospitalizations in rural/remote with urban regions; (2) examine the role of healthcare resources in hospitalizations; and (3) explore more specifically whether day-to-day patterns of hospitalization shortly before death differ between rural/remote and urban areas., Methods: The source of data was administrative healthcare records, with the study including all adults (aged over 19 years; excluding nursing home residents) who died in the province of Manitoba in 2003-2004 (n = 6523). Whether the decedents were hospitalized in the 30 days before death was determined from hospital files. The number of hospital days incurred was counted. Region of residence was defined along regional health authority boundaries, with 7 regions identified as rural/remote and 2 as urban. Healthcare resources were measured in terms of the number of: physicians, hospital beds, nursing home beds, and home care services per 1000 population. Age, sex and trajectory groups, which categorized decedents according to their cause of death, were included in all analyses., Results: Residents of 4 of the 7 rural/remote regions had increased odds of being hospitalized relative to the comparison, the larger urban region (adjusted odds ratios [AOR] ranged from 1.25 to 1.70). Hospital days did not differ across regions. Further analyses showed that having more physicians (AOR = .75) and more hospital beds per 1000 population (AOR = .95) both significantly reduced the odds of being hospitalized. Nursing home beds and home care services were not related to hospitalizations. Growth curve models indicated that daily patterns of hospitalizations generally did not differ across rural/remote versus urban regions., Conclusion: The findings suggest that residents of some rural/remote regions were at a disadvantage in terms of access to an appropriate care setting at the end of life. The regional variation in hospitalization can, at least in part, be attributed to the availability of healthcare resources, specifically the number of physicians and hospital beds (per 1000 population). However, the variation that emerged across regions also suggests that conclusions should not be over-generalized to all rural/remote regions; rather, local differences in healthcare resources should be considered when examining healthcare usage at the end of life.

Introduction: The emergency departments (EDs) of Australian rural hospitals are under stress due to a lack of specialty staff and government funding, and the need to serve large geographic catchment areas. Knowledge of the demographics and other details of patients presenting to these EDs provides a way for rural hospitals to tailor their emergency services; however, there are few published studies that supply this information., Objectives: This study aimed to establish patient numbers and demographics for those presenting to the ED of Cobram District Hospital (CDH), a rural hospital in the Australian state of Victoria. Daily and seasonal variations were also assessed, as was the catchment area and triage status of individual patients., Methods: Multiple datasets were collected retrospectively from electronic and handwritten databases for 3 financial years (July 2005 to June 2008) for presentations to CDH ED. The data were compared and analysed., Results: Approximately 3000 patients presented to CDH ED each year. The catchment of the ED was much greater than expected, with a significant portion of patients (14%) attending from the neighbouring state of New South Wales. Patient numbers increase by 50% during the summer, compared with the winter months. Regarding presentation time, 69% of presentations occur between 12.00 and 24.00, with 3 distinct time periods in each day when most presentations occur. Only 2% of all emergency patients are Australasian Triage Scale categories 1 and 2, while 73% are categories 4 and 5., Conclusion: Cobram District Hospital is a small rural hospital with 3000 patients presenting to the ED each year, representing a larger than expected catchment area. An ageing demographic among patients, seasonal variations in numbers and a large proportion of after-hours presentations should be of concern to administrators and policy-makers in planning future resource allocation for this and other similar EDs.

Introduction: To determine if an evidence-based implementation (EBI) could lead to the successful implementation of evidence based care for adult asthma in small rural district hospitals., Methods: A controlled trial involving eight small rural hospitals (four each in the study and control groups) was conducted. Retrospective pre-intervention audits were conducted at all eight hospitals for 7 months (1 January 2004 to 31 July 2004) and evidence-practice gaps identified. An EBI was then used to implement established guidelines for the management of asthma in the study hospitals. Post-intervention audits were then performed over a period of 7 months (1 October 2004 to 31 April 2005)., Results: There were 52 presentations of asthma in the study hospitals in the pre-implementation phase and 47 post-implementation. The corresponding numbers for the control hospitals were 46 and 42 respectively. There were no statistically significant differences in the severity between the groups. Following the EBI there were significant improvements at the study hospitals for the documentation of severity (8% to 62%, p <0.001), use of spirometry (12% to 62%, p <0.001) and the use of written short-term asthma plans (9% to 26%, p = 0.05). There was a decrease in use of ipratropium in mild asthma (44% to 30%, p = 0.228), an increase in the use of systemic steroids (61% to 72%, p = 0.255) and no change in prescribing antibiotics for afebrile patients with asthma (21% to 21% p = 0.956). There was no significant change in practice at the control hospitals except for a decrease in the use of systemic steroids (48% to 21%, p = 0.011). For the six clinical indicators aggregate there was a significant increase in compliance with guidelines at the study hospitals (36% to 62%, p < 0.001) but no change at the control hospitals (31% to 31%, p = 0.970)., Conclusion: The pre-intervention audits demonstrated low levels of compliance with asthma guidelines across six clinical indicators. An EBI significantly improved compliance across these six indicators, and no improvement was noted in the control hospitals. This study demonstrates that an EBI can alter clinical practice in small rural district hospitals.