Search results

Purpose – Patient safety and adverse events continue to present significant challenges to the US health care delivery system. Mandated reporting of adverse events can be a mechanism to “coerce” hospitals to identify, evaluate, and ultimately improve the quality and safety of patient care. The objective of this study is to determine if the coercion of mandated reporting impacts hospital patient safety scores.

Methods – We utilize the US News and World Report 2012–2013 Best Hospital Rankings which includes patient safety data from US teaching hospitals. The dependent variable is a composite measure of six indicators of patient safety during and after surgery. The independent variable is state mandated reporting of hospital adverse events. Three control variables are included: Magnet accreditation status, surgical volume, and the percentage of surgical admissions.

Findings – Using ordered logistic regression (n = 670 hospitals) we find a positive, but not significant, relationship between state mandated reporting and better patient safety scores.

Implications – This finding suggests that regulatory policy may not actually prompt performance improvement, and our data point to the need for further study of both formal and informal processes to manage patient safety within the hospital.

Originality – While increased reporting of adverse events has been linked to hospitals providing safer care, no research to date has examined whether or not state-level mandates actually lead to improvements in patient safety.

Failure to rescue events, or events involving preventable deaths from complications, are a significant contributor to inpatient mortality. While many interventions have been designed and implemented over several decades, this patient safety issue remains at the forefront of concern for most hospitals. In the first part of this study, the development and implementation of one type of highly studied and widely adopted rescue intervention, algorithm-based patient assessment tools, is examined. The analysis summarizes how a lack of systems-oriented approaches in the design and implementation of these tools has resulted in suboptimal understanding of patient risk of mortality and complications and the early recognition of patient deterioration. The gaps identified impact several critical aspects of excellent patient care, including information-sharing across care settings, support for the development of shared mental models within care teams, and access to timely and accurate patient information.

This chapter describes the use of several system-oriented design and implementation activities to establish design objectives, model clinical processes and workflows, and create an extensible information system model to maximize the benefits of patient state and risk assessment tools in the inpatient setting. A prototype based on the product of the design activities is discussed along with system-level considerations for implementation. This study also demonstrates the effectiveness and impact of applying systems design principles and practices to real-world clinical applications.

Context. The most advanced and fastest growing form of bariatric surgery is laparoscopic gastric bypass. Very little is known about population-based 180-day laparoscopic bypass costs, complication rates, readmission rates, and post-operative care.

Objective. To examine the 6-month costs and outcomes of laparoscopic vs. open bariatric bypass surgery using a national population-based sample.

Design. We use the 1998–2003 Nationwide Inpatient Sample to examine national trends in the rate of laparoscopic bypass. To examine post-operative outcomes, we examine insurance claims for 2,384 bariatric bypass surgeries, at 308 hospitals, among a population of 5.6 million non-elderly people covered by large employers across 49 states in 2001 and 2002. Multivariate logit regression analysis is performed to risk-adjust outcomes.

Main Outcome Measures. 180-day outcomes: 12 complications specific to bariatric surgery and 44 general post-operative conditions, readmission rates, ER rates, and expenditures following bariatric surgery.

Results. Between 1998 and 2003, the national percentage of bariatric bypass surgeries that were laparoscopic grew from 1.5 to 17.1%. There was no significant difference in in-hospital mortality between laparoscopy and open surgery. With the 2001–2002 claims data, we find that of the patients having bypass surgery, men had 48% lower odds of having laparoscopy and that high bariatric volume hospitals were close to four times more likely to use laparoscopy. Laparoscopic bypass, compared with open bypass, had 34% lower odds of a complication during the initial surgical stay, 27% lower odds of a 30-day complication, but no statistically significant difference in 180-day complications. Laparoscopy had 49% higher odds of having the general 44 post-operative conditions, with 45% higher odds of a readmission and 54% higher odds of an ER visit. However, overall, laparoscopy resulted in a 23% lower number of hospital days and 9% lower 180-day expenditures.

Conclusion. The laparoscopic cost-savings during the less invasive initial surgery stay outweigh the increase in post-discharge utilization. Further cost-savings will only emerge from laparoscopy only if its late post-operative complications are reduced. More cost-savings will also emerge as more physicians switch to the use of laparoscopy for bypass surgery.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

Purpose – The aim of this paper is to examine the diffusion of a new surgical procedure with lower per-case cost and how its diffusion path is affected by the simultaneous introduction of a new drug class that may be an effective treatment to prevent surgery. In particular, we examine whether a process of technology substitution exists that influences the diffusion process of the surgical technology. Given their different cost implications, the interaction of these two different technologies, surgery and drug intervention, is relevant from the perspective of health expenditure. This is of particular interest in health care as technology adoption and diffusion has been cited as a major driver of expenditure growth. Such expenditure growth has been increasingly targeted through the use of market-orientated policy tools aimed at increasing efficiency. Our research is thus addressing the question of how economic incentives influence the diffusion process and we discuss the impact of a set of incentives on hospital behavior.

Design/methodology – Hospital admission data for the financial years 1998/1999 to 2007/2008 in England are used to empirically test the contribution of prescription uptake and market-oriented reforms. Dynamic panel data models are used to capture any changes in technology preference during the period of study.

Findings – Our results suggest that the hospital sector exhibits a strong new technology preference, tempered by the interaction of competition for patients and the ability of the primary care sector to substitute treatments.

Value/originality – Given the current fast technological change, we examine the technological race occurring in the health care sector. We account simultaneously for the diffusion of different technologies not only within the same typology but also with technologies of a different class.

Purpose – Intravenous leiomyomatosis (IVL) is a very rare subtype of leiomyoma, involving the right obstruction of the heart, and is an unusual cause of outflow tract obstruction. The IVL grows from the vessel’s smooth muscle, protruding into the vessel’s lumen, and can expand to the right atrium and even beyond causing death due to blood flow obstruction into the right atrium and even to pulmonary artery.

Design/Methodology/Approach – We present a 33-year-old Indonesian woman with cardiopulmonary symptoms predominantly, and marked by an intravascular leiomyoma extending from inferior vena cava (IVC) to right chamber atrium, with the chief complaint being easily fatigued since seven months.

Findings – Echocardiography observations found a mass in the right atrium and the IVC that caused dynamics obstructed in tricuspid valve, right atrium and ventricle were dilated, no left ventricular (LV) hypertrophy, normal LV and right ventricular (RV) functions, and no valve abnormality except the tricuspid valve gradient being 21 mmHg with mild regurgitation. Venography resulted in a mobile tumor mass in IVC mouth which partially flew into the right atrium, and partially blocked the IVC mouth. Tumor size was 6.4 cm × 4.8 cm. Abdominal multislice computed tomography resulted in a residual soft tissue mass (leiomyoma) along the IVC extended to the right atrium. The tumor mass size in the IVC and the right atrium was bigger compared to tumor mass on July 2008. The correct diagnosis was established during surgery; therefore a two-stage resection was done.

Originality/Value – Surgical resection is the best treatment for intracardiac extension of intravenous leiomyoma. To remove the ilio-caval portion, iliac venotomy was recommended for the tumor in both stages of the surgeries.

Predicting a patient's length of stay (LOS) in a hospital setting has been widely researched. Accurately predicting an individual's LOS can have a significant impact on a healthcare provider's ability to care for individuals by allowing them to properly prepare and manage resources. A hospital's productivity requires a delicate balance of maintaining enough staffing and resources without being overly equipped or wasteful. This has become even more important in light of the current COVID-19 pandemic, during which emergency departments around the globe have been inundated with patients and are struggling to manage their resources.

In this study, the authors focus on the prediction of LOS at the time of admission in emergency departments at Rhode Island hospitals through discharge data obtained from the Rhode Island Department of Health over the time period of 2012 and 2013. This work also explores the distribution of discharge dispositions in an effort to better characterize the resources patients require upon leaving the emergency department.

Health care institutions in many Western countries have developed preoperative testing and assessment guidelines to improve surgical outcomes and reduce cost of surgical care. The aims of this chapter are to (1) summarize the literature on the effect of preoperative testing on clinical outcomes, efficiency, and cost; and (2) to compare preoperative testing guidelines developed in the United States, the United Kingdom, and Canada.

We reviewed the literature from 1975 to 2014 for studies and preoperative testing guidelines.

We identified 29 empirical studies and 8 country-specific guidelines for review. Most studies indicate that preoperative testing is overused and comes at a high cost. Guidelines are tied to payment only in one country studied. This is the most recent review of the literature on preoperative testing and assessment with a focus on quality of care, efficiency, and cost outcomes. In addition, this chapter provides an international comparison of preoperative guidelines.

The COVID-19 pandemic created a broad array of challenges for hospitals. These challenges included restrictions on admissions and procedures, patient surges, rising costs of labor and supplies, and a disparate impact on already disadvantaged populations. Many of these intersecting challenges put pressure on hospitals' finances. There was concern that financial pressure would be particularly acute for hospitals serving vulnerable populations, including safety-net (SN) hospitals and critical access hospitals (CAHs). Using data from hospitals in Washington State, we examined changes in operating margins for SN hospitals, CAHs, and other acute care hospitals in 2020 and 2021. We found that the operating margins for all three categories of hospitals fell from 2019 to 2020, with SNs and CAHs sustaining the largest declines. During 2021, operating margins improved for all three hospital categories but SN operating margins still remained negative. Both changes in revenue and changes in expenses contributed to observed changes in operating margins. Our study is one of the first to describe how the financial effects of COVID-19 differed for SNs, CAHs, and other acute care hospitals over the first two years of the pandemic. Our results highlight the continuing financial vulnerability of SNs and demonstrate how the factors that contribute to profitability can shift over time.

Hospitals provide care to several thousand patients hospitalized in various nursing units. This process involves admissions of patients entering the nursing units and discharges of patients leaving the nursing units. These admissions and discharges have been identified as hand-off points, and such transitional points have higher potential for errors. Furthermore, admissions and discharges also have several associated activities that need to be accomplished, thus causing an increase in the need for resources like nursing staff, etc., which impacts on efficiency. Hence, a better understanding of the trends and patterns in admissions and discharges is necessary to improve the safety and efficiency of healthcare processes. This healthcare-related forecasting case study uses admission and discharge data from more than 100 thousand patients from 38 nursing units like medicine, surgery, step-down, pediatric, etc., over a three-year period from October 2007 through October 2010 in a large academic health system in the United States. There are two primary goals for this study: (1) to perform pattern analysis on the admission and discharge data, for facility and workforce planning and determining shift structure purposes and (2) to perform forecasting for corrective allocation purposes. Similar methods can be used by other hospitals to improve safety and efficiency.