Hospital operations and length of stay performance

Hospital process performance and the adoption of medical devices: An organization-based view

Over the past two decades, there has been a growing scholarly interest in the adoption of technology in healthcare. While numerous studies have delved into the effects of specific technologies on the performance of different organizational units and medical specialties, the findings have often been divergent. Unlike the established literature, our approach focuses on the organization's perspective to analyze how technology impacts process performance in hospital settings. More precisely, we compiled a tailored dataset from 56 healthcare organizations in Italy and conducted a comprehensive analysis of panel data from 2016 to 2019, utilizing Ordinary Least Squares (OLS) regression as our main analytical tool. The data shows a clear relationship between an organization's use of medical devices and its overall process performance. Our research highlights the importance of achieving substantial improvements in process performance by strategically integrating new technologies and devices. Policymakers are encouraged to consider introducing incentives to drive hospitals to invest in innovative technologies. Furthermore, monitoring expenditures on new devices could serve as a valuable metric for assessing the extent of technology adoption within clinical practices.

It's Hip to Go Home: An Evaluation of Outpatient Alveolar Bone Grafting in Patients With Cleft Palate

INTRODUCTION

Secondary alveolar bone grafting (ABG) is a common procedure performed at cleft care centers used to fill the alveolar cleft. The advent of techniques such as minimally invasive trephine drill harvest and placement of continuous-infusion pain pumps at the donor site has made outpatient ABG an increasingly feasible and cost-effective procedure. However, enhanced recovery after surgery protocols to maximize pain control and recovery times for this patient population have not been well established.

METHODS

A retrospective single-institution review was conducted of pediatric patients with cleft palate who underwent iliac crest bone graft ABG at a large urban academic children's hospital from 2017 to 2022. Patient age, alveolar cleft repair laterality, pain scores, surgery duration, hospital LOS, readmissions, and re-operations within 30 days were examined.

RESULTS

Fifty-four patients met our inclusion criteria. Fifty patients (92.6%) received a pain pump during the operation. The median duration of surgery and LOS in the post-anesthesia care unit were 1.28 and 1.75 hours, respectively. Fifty-two patients (96.3%) were discharged on the same day as their surgery whereas 2 patients (3.7%) stayed in the hospital overnight. The median pain score at the time of discharge was 0 (interquartile range 0, 0). There were 6 (11.1%) minor complications including 5 pain pump malfunctions and 1 recipient site wound breakdown. There was 1 readmission (1.9%) for development of a surgical site infection at the hip and no re-operations within 30 days of surgery.

CONCLUSION

The described outpatient ABG protocol demonstrates effective postoperative pain control, short hospital LOS, and few complications requiring hospital readmission or reoperation.

Efficiency and Resource Allocation in Government Hospitals in Saudi Arabi: A Casemix Index Approach

In Saudi Arabia, the evaluation of healthcare institutions' performance and efficiency is gaining prominence to ensure effective resource utilization. This study aims to assess the efficiency of government hospitals in Saudi Arabia using the case mix index (CMI) approach. Comprehensive data from 67 MoH hospitals were collected and analyzed. The CMI was calculated by assigning weights to different patient groups based on case complexity and resource requirements, facilitating comparisons of hospital performance in terms of resource utilization and patient outcomes. The findings reveal variations in the CMI across hospitals in relation to size and type. The average CMI was 1.26, with the highest recorded at 1.67 and the lowest at 1.02. Medical cities demonstrated the highest CMI (1.47), followed by specialized hospitals (1.32), and general hospitals (1.21). The study highlights opportunities for enhancing productivity and efficiency, particularly in hospitals with lower CMI, by benchmarking against peer institutions with similar capacities and patient case mix. These findings have significant implications for hospital operations and resource allocation policies, supporting ongoing efforts to improve the efficiency of government hospitals in Saudi Arabia. By incorporating these insights into healthcare strategies, policymakers can work towards enhancing the overall performance and effectiveness of the healthcare system.

The effects of physicians on operational and financial performance in United States hospitals: staffing, human capital and knowledge spillovers

Purpose

The authors examine how physician staffing, human capital and knowledge spillovers are related to multiple dimensions of hospital operational and financial performance at the organizational level.

Design/methodology/approach

The authors use a data set assembled from multiple sources for more than 1,300 US hospitals and employ hierarchical linear regression to test this study’s hypotheses. The authors use multiple quality, efficiency and financial measures of performance for these hospitals.

Findings

The authors find that higher levels of staffing, skills and knowledge spillovers associated with physicians were positively associated with multiple dimensions of hospital performance. The authors find linear and nonlinear relationships between experience and performance, with the relationships primarily negative, and nonlinear relationships between spillovers and quality performance.

Practical implications

Hospital managers should consider increasing physician staffing levels if possible. In addition, the overall Final MIPS Score from the Centers for Medicare and Medicaid Services might be included as a factor in determining which physicians practice in a hospital. Finally, if possible, encouraging physicians to practice at multiple hospitals will likely be beneficial to hospital performance.

Originality/value

This study’s findings are original in that they explore how physician-specific staffing and human capital, which have received comparatively little attention in the literature, are related to several different dimensions of hospital-level operational and financial performance. To the best of the authors’ knowledge, this paper is also the first to examine the relationship between the construct of physician knowledge spillovers and hospital-level operational and financial performance.

Green Operation Strategies in Healthcare for Enhanced Quality of Life

Healthcare services have now become a fundamental requirement for all individuals owing to rising pollution levels and shifting lifestyles brought on by fast modernization. The hospital is a specialized healthcare facility where doctors, nurses, and other medical professionals offer their services. Academics and professionals have emphasized green operation initiatives such as green design, green purchasing, green supply chain, and green manufacturing to increase public awareness of environmental problems affecting company operations associated with healthcare for the quality of life. The purpose of this research is to use total interpretive structural modeling and MICMAC (matrix cross multiplication applied to a classification) analysis to investigate and analyze the elements impacting green operations strategies in healthcare. The data are gathered using a closed-ended questionnaire together with a scheduled interview. The components' interactions are explored using the total interpretive structural modeling technique, and the MICMAC analysis is used to rank and categorize the green operation strategy variables. The study is a novel effort to address and focus on stakeholders, vision and structure, resources, and capabilities. Green operations strategies have only been the subject of a small number of studies in the past, and those studies were mostly addressed at manufacturing-specific green strategies. Thus, by promoting energy efficiency programs, green building design, alternative sources of energy, low-carbon transportation, local food, waste reduction, and water conservation, the health sector can develop multiple key strategies to become more climate-friendly with significant health, environmental, and social co-benefits for quality of life.

Monitoring Length of Stay of Acute Myocardial Infarction Patients: A Times Series Analysis Using Statistical Process Control

GOAL

Given that length of stay (LOS) of acute myocardial infarction (AMI) patients has a significant impact on the utilization of hospital resources and the health status of communities, this study focused on how best to monitor LOS of AMI patients admitted to U.S. hospitals by employing statistical process control (SPC).

METHODS

Data were abstracted from the Healthcare Cost and Utilization Project Nationwide Readmissions Database between 2010 and 2016. A total of 1,491 patients were examined in the study. Patients who were admitted to nonfederal government (public) hospitals in metropolitan areas of at least 1 million residents with the primary diagnosis of AMI were abstracted. They were excluded if they developed AMI secondary to an interventional procedure or surgery, died during their index hospitalization, and were admitted and discharged on the same day. Patients were also excluded if they were discharged to short-term hospitals, nursing facilities, intermediate care facilities, home healthcare, or against medical advice. Individual moving range (I-MR) charts were used to monitor LOS of individual AMI patients in each subgroup from 2010 to 2016.

PRINCIPAL FINDINGS

The results showed I-MR charts could be used to indicate statistically out-of-control signals on LOS. Specifically, I-MR charts showed that LOS decreased between 2010 and 2016. LOS appeared to be longer at teaching hospitals compared to nonteaching hospitals and varied by gender. Female patients appeared to stay longer than male patients in the hospitals.

PRACTICAL APPLICATIONS

The application of SPC and control charts can facilitate improved decision-making in healthcare organizations. This study shows the value of integrating control charts in administrative and medical decision-making processes. It may also help healthcare providers and managers achieve higher quality and lower cost of care.

Cost-quality tradeoff in nurse staffing: an exploration of USA hospitals facing market competition

Purpose

This research aims to explore the fine-grained relationships between nurse staffing and hospital operational performance with respect to care quality and operating costs. The authors also investigate the moderation effect of competition in local hospital markets on these relationships.

Design/methodology/approach

A six-year panel data is assembled from five separate sources to obtain information of 2,524 USA hospitals. Fixed-effect (FE) models are used to test the proposed hypotheses.

Findings

First, nurse staffing is initially associated with improved care quality until nurse staffing reaches a turning point, beyond which nurse staffing is associated with worse care quality. Second, a similar pattern applies to the relationship between nurse staffing and operating costs, although the turning point is at a much lower nurse staffing level. Third, market competition moderates the relationship between nurse staffing and care quality so that the turning point of nurse staffing will be higher when the degree of competition is higher. This shift of turning point is also observed in the relationship between nurse staffing and operating costs.

Practical implications

The study identifies three ranges of nurse staffing in which hospitals will likely experience simultaneous improvements, a tradeoff or simultaneous decline of care quality and operating costs when investing in more nursing capacity. Hospitals should adjust nurse staffing levels to the right directions to achieve better care or reduce operating costs.

Originality/value

Nurses constitute the largest provider group in hospitals and profoundly impact care quality and operating costs among all health care professionals. Optimizing the level of nurse staffing, therefore, can significantly impact the care quality and operating costs of hospitals.

Association Between Patient Diversity in Hospitals and Racial/Ethnic Differences in Patient Length of Stay

BACKGROUND

Hospitals serving a disproportionate share of racial/ethnic minorities have been shown to have poorer quality outcomes. It is unknown whether efficiencies in inpatient care, measured by length of stay (LOS), differ based on the proportion patients served by a hospital who are minorities.

OBJECTIVE

To examine the association between the racial/ethnic diversity of a hospital's patients and disparities in LOS.

DESIGN

Retrospective cross-sectional study.

PARTICIPANTS

One million five hundred forty-six thousand nine hundred fifty-five admissions using the 2017 New York State Inpatient Database from the Healthcare Cost and Utilization Project.

MAIN MEASURE

Differences in mean adjusted LOS (ALOS) between White and Black, Hispanic, and Other (Asian, Pacific Islander, Native American, and Other) admissions by Racial/Ethnic Diversity Index (proportion of non-White patients admitted to total patients admitted to that same hospital) in quintiles (Q1 to Q5), stratified by discharge destination. Mean LOS was adjusted for patient demographic, clinical, and admission characteristics and for individual intercepts for each hospital.

KEY RESULTS

In both unadjusted and adjusted analysis, Black-White and Other-White mean LOS differences were smallest in the most diverse hospitals (Black-White: unadjusted, -0.07 days [-0.1 to -0.04], and adjusted, 0.16 days [95% CI: 0.16 to 0.16]; Other-White: unadjusted, -0.74 days [95% CI: -0.77 to -0.71], and adjusted, 0.01 days [95% CI: 0.01 to 0.02]). For Hispanic patients, in unadjusted analysis, the mean LOS difference was greatest in the most diverse hospitals (-0.92 days, 95% CI: -0.95 to -0.89) but after adjustment, this was no longer the case. Similar patterns across all racial/ethnic groups were observed after analyses were stratified by discharge destination.

CONCLUSION

Mean adjusted LOS differences between White and Black patients, and White and patients of Other race was smallest in most diverse hospitals, but not differences between Hispanic and White patients. These findings may reflect specific structural factors which affect racial/ethnic differences in patient LOS.

The impact of hospital support function centralization on patient outcomes: A before-after study

Objectives

Study design

Methods

Results

Conclusions

•

Integrated health systems including multiple hospitals are increasingly frequent and can lead to economies of scale.

•

We found a decrease in readmissions and average length of stay associated with the centralization of support functions.

•

Additional studies are needed to evaluate the effect of health systems integration on patient outcomes.

Resources management impact on neonatal services performance in the United Kingdom: A system dynamics modelling approach

Demand for neonatal care in the United Kingdom (UK) has increased in recent years. This care is provided by neonatal services, which are chronically saturated due to years of budget austerity in the UK. The aim of this paper is to investigate the possible impact of increasing resources to these services to improve their operational performance and alleviate the pressure they are facing. To achieve this aim, a system dynamics (SD) simulation model was built and validated in a UK neonatal unit. The SD model was used initially to evaluate the impact of increasing resources on the unit performance and the results showed that this policy will have a limited effect on performance. The model was then extended to predict the effect of reducing the length of stay (LoS) in conjunction with increasing resources. These joint interventions will have a positive impact on the unit performance if LoS is reduced for all care categories and resources are slightly increased. Results' implications and SD's modelling usefulness to guide decision making in complex health settings are discussed.

Human disease clinical treatment network for the elderly: The analysis of medicare inpatient length of stay data

Disease clinical treatment measures, such as inpatient length of stay (LOS), have been examined for most if not all diseases. Such analysis has important implications for the management and planning of health care, financial, and human resources. In addition, clinical treatment measures can also informatively reflect intrinsic disease properties such as severity. The existing studies mostly focus on either a single disease (or a few pre-selected and closely related diseases) or all diseases combined. In this study, we take a new and innovative perspective, examine the interconnections in length of stay (LOS) among diseases, and construct the very first disease clinical treatment network on LOS. To accommodate uniquely challenging data distributions, a new conditional network construction approach is developed. Based on the constructed network, the analysis of important network properties is conducted. The Medicare data on 100 000 randomly selected subjects for the period of January 2008 to December 2018 is analyzed. The network structure and key properties are found to have sensible biomedical interpretations. Being the very first of its kind, this study can be informative to disease clinical management, advance our understanding of disease interconnections, and foster complex network analysis.

The Effects of Operational and Financial Performance Failure on BI&A-Enabled Search Behaviors: A Theory of Performance-Driven Search

Abstract for Practice and Policy

A Cross-sectional Study of Hospital Performance on ICU Utilization Practices for Patients with Chronic Obstructive Pulmonary Disease

PURPOSE

Intensive care unit (ICU) resources are a costly but effective commodity used in the management of critically ill patients with chronic obstructive pulmonary disease (COPD). ICU admission decisions are determined by patient diagnosis and severity of illness, but also may be affected by hospital differences in quality and performance. We investigate the variability in ICU utilization for patients with COPD and its association with hospital characteristics.

METHODS

Using a 3M administrative dataset spanning 2008-2013, we conducted a retrospective cohort study of adult patients discharged with COPD at hospitals in three state to determine variability in ICU utilization. Quality metrics were calculated for each hospital using observed-to-expected (O/E) ratios for overall mortality and length of stay. Logistic and multilevel multivariate regression models were constructed, estimating the association between hospital quality metrics on ICU utilization, after adjustment for available clinical factors and hospital characteristics.

RESULTS

In 434 hospitals with 570,517 COPD patient visits, overall ICU admission rate was 33.1% [range 0-89%; median (IQR) 24% (8, 54)]. The addition of patient, hospital, and quality characteristics decreased the overall variability attributable to individual hospital differences seen within our cohort from 40.9 to 33%. Odds of ICU utilization were increased for larger hospitals and those seeing lower pulmonary case volume. Hospitals with better overall O/E ratios for length of stay or mortality had lower ICU utilization.

CONCLUSIONS

Hospital characteristics, including quality metrics, are associated with variability in ICU utilization for COPD patients, with higher ICU utilization seen for lower performing hospitals.

Improving Health Care Management in Hospitals Through a Productivity Dashboard

Health information systems have been developed to help hospital managers steer daily operations, including key performance indicators (KPIs) for monitoring on a time-aggregated basis. Yet, current literature lacks in proposals of productivity dashboards to assist hospitals stakeholders. This research focuses on two related problems: (1) hospital organizations need access to productivity information to improve access to services; and (2) managers need productivity information to optimize resource allocation. This research consists in the development of dashboards to monitor information obtained from a hospital organization to support decision makers. To develop and evaluate the productivity dashboard, the Design Science Research (DSR) methodology was adopted. The dashboard was evaluated by stakeholders of a large Portuguese hospital who contributed to iteratively improving its design toward a useful decision support tool. Additionally, it was ascertained that monitoring productivity needs more study and that the dashboards on these themes are valuable assets at a monitoring level and subsequent decision-making process.

Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation

With greater demand for outpatient services, the importance of patient-centric clinic layout design that improves timeliness of patient care has become more elucidated. In this paper, a novel simulation-optimisation (SO) framework is proposed focusing on the physical and process flows of patients in the design of a paediatric orthopaedic outpatient clinic. A discrete-event simulation model is used to estimate the frequency of movements between clinic units. The resulting information is utilised as input to a mixed integer programming (MIP) model, optimising the clinic layout design. In order to solve the MIP model, Particle Swarm Optimisation (PSO), a metaheuristic approach enhanced with several heuristics is utilised. Finally, the optimisation model outputs are evaluated with the simulation model. The results demonstrate that improvements to the quality of the patient experience can be achieved through incorporating SO methods into the clinic layout design process.

Part-time practice in healthcare: Impact on operational versus medical performance

We explore how reliance on part-time medical staff affects operational and medical outcome performance in two general surgery departments Whereas prior research has indicated that operational performance is positively associated with medical performance, we find that heavier reliance on part-time practice may deteriorate operational performance but not necessarily medical-outcome performance. For so-called "complex" patients, reliance on part-time practice may even override the effect of patients' characteristics on medical-outcome performance. This result calls into question common perceptions in behavior marketing literature regarding part-time employees' working patterns and efficiency, and thereby provides a new perspective regarding current labor-market trends.

Use of the On-Q Pain Pump in Alveolar Bone Grafting: Effect on Hospit Length of Stay

Objective

Alveolar bone grafting (ABG) with iliac crest bone graft can be associated with significant pain at the donor site. The On-Q pain pump has been shown to be efficacious in treating postsurgical pain. The aim of this study was to compare the length of postoperative hospital stay in patients undergoing ABG who received the On-Q pain pump at the iliac crest donor site (On-Q+) with that of patients who did not receive the On-Q pain pump (On-Q-).

Design

A retrospective, cohort study, approved by institutional review board, was performed. Thirty-one consecutive patients in the On-Q- group were compared with 38 consecutive patients in the On-Q– group. The two cohorts were assessed for length of stay. Statistical analysis was performed using the Fisher exact probability test.

Setting

Tertiary care academic medical center.

Patients

Sixty-nine patients with cleft lip and/or cleft palate (CL/P) undergoing secondary ABG with iliac crest bone graft were operated on between May 1993 and January 2014.

Main Outcome Measure

Length of postoperative hospital stay.

Result

Mean length of stay in the On-Q– patients was 0.52 days versus 0.37 days for the On-Q– patients. This difference between the two cohorts was not statistically significant (P = .234).

Conclusion

Although there is a trend toward a shorter length of stay in our patients who received the On-Q pump, this finding was not statistically significant. Given the expense and additional burden of care associated with the device, we have become more selective in its utilization.

The effect of specialization on operational performance

Purpose

The purpose of this paper is to analyze how specialization in hospitals affects operational performance, measured by the length of stay and readmission rate. The authors assess a public policy change in the Danish healthcare sector from 2011 which required that some hospital services had to be centralized leading to specialization within the merged departments.

Design/methodology/approach

Taking an institutional theory perspective, the authors conduct a natural experiment. The data include 24,694 observations of urological patient treatments from 2010 to 2012.

Findings

The econometric difference-in-difference analysis finds that the readmission rate decreases by approximately four percentage points in the departments affected by the policy change. Contrary to expectations, the length of stay increases by 0.38 days. The authors complement the natural experiment with a mixed-methods approach that includes proprietary data from the management control system of the hospital, public documentation on the policy change, as well as interviews with key informants. These data suggest that operational deficiency is related to the fact that specialization was externally enforced through the public policy change. The authors illustrate how the hospital staff struggle for legitimacy after this policy change, and how cost savings obstructed the specialized department in achieving its goals.

Originality/value

The authors conclude that the usual economies-of-scales-based logic of (higher)volume-(better)outcome studies cannot easily be transferred to specialization in hospitals, unless one accounts for the institutional reason of the specialization.

An approach toward public hospital performance assessment

BACKGROUND

Public hospitals have come under heavy scrutiny across the world owing to rising expenditures. However, much of the focus has been on cutting down costs to raise efficiency levels. Although not denying the importance of efficiency measures, this article targets a performance issue that is relevant to address the quality of services rendered in public hospitals. Thus, it is important to focus on the effectiveness of resource utilization in these hospitals. Consequently, this article seeks to examine the impact of average length of stay (ALOS) and bed turnover rates (BTR) on bed occupancy rates (BOR).

METHODS

Public hospital inpatient utilization records during the period 2006 to 2013 were gathered from the Ministry of Health, Malaysia. A 2-step generalized method of moments (GMM) statistical method was used to analyze the data. BOR was adopted as the dependent variable, whereas BTR and ALOS were used as the explanatory variables. The logarithm of total bed count (BED), admission (ADM), and patient days (PD) was deployed as control variables. Three regression models were developed to explore the correlates of BOR as a hospital performance measure. Ethics committee approval was waived because no patients were identified in the study.

RESULTS

The statistical analyses show that ALOS and BTR are inversely correlated with BOR, with both coefficients significant at 1%. The control variables of BED, ADM, and PD had the right positive signs and they were significant in both sets of equations. Hence, reducing ALOS and BTR can help raise performance of public hospitals in Malaysia.

CONCLUSION

In light of the robust results obtained, this study offers implications for improving public hospital performance. It shows a need to reduce ALOS and BTR in public hospitals to improve BOR.

Operational antecedents of integrated patient planning in hospitals

Purpose

– Hospitals struggle to integrate the planning from different departments; resulting in unacceptable waiting times for patients. The literature mainly addresses general, organizational factors inhibiting or enabling integration and omits important factors stemming from the care delivery process. Therefore, the purpose of this paper is to uncover operational antecedents and to assess their effect on the integration of hospital planning.

Design/methodology/approach

– The study is based on a three-hospital multi-case study. The main findings stem from over 40 in-depth interviews with specialists, nurses, planners, and managers of four specialties that are all involved in the orthopedic internal supply chain.

Findings

– This study identifies five critical operational antecedents: performance management, shared resources, information technology, process visibility, and uncertainty/variability. The latter two are of specific importance in a healthcare context. Three distinctive roles are identified; initiating (performance management and process visibility), facilitating (information technology), and inhibiting (shared resources and uncertainty/variability).

Practical implications

– The authors address how integration can be achieved, rather than merely prescribing integration as a means to improve performance. The identification of specific operational antecedents and their role help managers to find tangible ways to effectively integrate hospital planning which increases hospital performance.

Originality/value

– First, the identified operational antecedents are essential supplementary factors to more common organizational and behavioral antecedents. Second, in contrast to earlier contributions the authors show the effects of antecedents on three different stages of integration, rather than on integration in general.

Management practices in Australian healthcare: can NSW public hospitals do better?

Purpose

– The purpose of this paper is to investigate the determinants of best management practices in an Australian state-run healthcare system, namely New South Wales (NSW), and studies the impact of a range of hospital factors in driving best management practices as a means of enhancing healthcare delivery.

Design/methodology/approach

– This study adapts a unique survey instrument globally tested to quantify the multi-dimensional nature of hospital management practices in 42 acute care public hospitals of NSW. The authors then analysed the role of hospital-specific characteristics in driving best management practices, namely hospital size (measured by the number of hospital beds, employees and doctors), level of skill and education, degree of hospital manager autonomy and organisational hierarchy.

Findings

– The findings of this study show the areas of strength and potential areas of improvement in NSW hospitals. The authors find a positive association between the adoption of better management practices and hospital size (measured by the number of hospital beds and employees), level of skills and education, degree of hospital manager autonomy and organisational hierarchy. However, hospital size as measured by the number of doctors did not have a statistically significant relationship.

Practical implications

– This paper is of interest to both hospital administrators, clinical doctors and healthcare policy-makers who want to improve and develop strategies for better management in the healthcare sector.

Originality/value

– This study provides an internationally comparable robust measure of management capability in public hospitals, and contributes to the evidence-base of management practices and performance in hospitals.

Benchmarking management practices in Australian public healthcare

Purpose

– The purpose of this paper is to investigate the quality of management practices of public hospitals in the Australian healthcare system, specifically those in the state-managed health systems of Queensland and New South Wales (NSW). Further, the authors assess the management practices of Queensland and NSW public hospitals jointly and globally benchmark against those in the health systems of seven other countries, namely, USA, UK, Sweden, France, Germany, Italy and Canada.

Design/methodology/approach

– In this study, the authors adapt the unique and globally deployed Bloom et al. (2009) survey instrument that uses a “double blind, double scored” methodology and an interview-based scoring grid to measure and internationally benchmark the management practices in Queensland and NSW public hospitals based on 21 management dimensions across four broad areas of management – operations, performance monitoring, targets and people management.

Findings

– The findings reveal the areas of strength and potential areas of improvement in the Queensland and NSW Health hospital management practices when compared with public hospitals in seven countries, namely, USA, UK, Sweden, France, Germany, Italy and Canada. Together, Queensland and NSW Health hospitals perform best in operations management followed by performance monitoring. While target management presents scope for improvement, people management is the sphere where these Australian hospitals lag the most.

Practical implications

– This paper is of interest to both hospital administrators and health care policy-makers aiming to lift management quality at the hospital level as well as at the institutional level, as a vehicle to consistently deliver sustainable high-quality health services.

Originality/value

– This study provides the first internationally comparable robust measure of management capability in Australian public hospitals, where hospitals are run independently by the state-run healthcare systems. Additionally, this research study contributes to the empirical evidence base on the quality of management practices in the Australian public healthcare systems of Queensland and NSW.

Hospital Clostridium difficile Infection Rates and Prediction of Length of Stay in Patients Without C. difficile Infection

BACKGROUND Inpatient length of stay (LOS) has been used as a measure of hospital quality and efficiency. Patients with Clostridium difficile infections (CDI) have longer LOS. OBJECTIVE To describe the relationship between hospital CDI incidence and the LOS of patients without CDI. DESIGN Retrospective cohort analysis. METHODS We predicted average LOS for patients without CDI at both the hospital and patient level using hospital CDI incidence. We also controlled for hospital characteristics (eg, bed size) and patient characteristics (eg, comorbidities, age). SETTING Healthcare Cost and Utilization Project Nationwide Inpatient Sample, 2009-2011. PATIENTS The Nationwide Inpatient Sample includes patients from a 20% sample of all nonfederal US hospitals. RESULTS Inpatient LOS was significantly longer (P<.001) at hospitals with greater CDI incidence at both the hospital and individual level. At a hospital level, a percentage point increase in the CDI incidence rate was associated with more than an additional day's stay (between 1.19 and 1.61 days). At the individual level, controlling for all observable variables, a percentage point increase in the CDI incidence rate at their hospital was also associated with longer LOS (between 0.6 and 1.05 additional days). Hospital CDI incidence had a larger impact on LOS than many other commonly used predictors of LOS. CONCLUSION CDI rates are a predictor of LOS in patients without CDI at an individual and institutional level. CDI rates are easy to measure and report and thus may provide an important marker for hospital efficiency and/or quality.

LEAN HEALTHCARE: UNA REVISIÓN BIBLIOGRÁFICA Y FUTURAS LÍNEAS DE INVESTIGACIÓN

La filosofía Lean a través del tiempo ha evolucionado y ha sido implementada en varios tipos de empresas tanto en el sector manufacturero como en el de los servicios, lo cual se evidencia en el gran número de estudios que investigan sobre la implementación de lean en dichos sectores. El propósito de este estudio es analizar las tendencias de las publicaciones, identificar los autores más influyentes y describir las futuras investigaciones en la aplicación de Lean en el sector salud. En esta investigación se presentan los resultados de un análisis bibliométrico realizadas a las publicaciones científicas acerca de la filosofía Lean Healthcare durante el periodo 1990-2015, en la base de datos: Isi Web of Knowladge, Scopus y PubMed. Los resultados de esta investigación contribuyen a identificar tópicos emergentes y ser un marco de referencia para futuras investigaciones en este tema de investigación.

Hospital process orientation from an operations management perspective: development of a measurement tool and practical testing in three ophthalmic practices

BACKGROUND

Although research interest in hospital process orientation (HPO) is growing, the development of a measurement tool to assess process orientation (PO) has not been very successful yet. To view a hospital as a series of processes organized around patients with a similar demand seems to be an attractive proposition, but it is hard to operationalize this idea in a measurement tool that can actually measure the level of PO. This research contributes to HPO from an operations management (OM) perspective by addressing the alignment, integration and coordination of activities within patient care processes. The objective of this study was to develop and practically test a new measurement tool for assessing the degree of PO within hospitals using existing tools.

METHODS

Through a literature search we identified a number of constructs to measure PO in hospital settings. These constructs were further operationalized, using an OM perspective. Based on five dimensions of an existing questionnaire a new HPO-measurement tool was developed to measure the degree of PO within hospitals on the basis of respondents' perception. The HPO-measurement tool was pre-tested in a non-participating hospital and discussed with experts in a focus group. The multicentre exploratory case study was conducted in the ophthalmic practices of three different types of Dutch hospitals. In total 26 employees from three disciplines participated. After filling in the questionnaire an interview was held with each participant to check the validity and the reliability of the measurement tool.

RESULTS

The application of the HPO-measurement tool, analysis of the scores and interviews with the participants resulted in the possibility to identify differences of PO performance and the areas of improvement--from a PO point of view--within each hospital. The result of refinement of the items of the measurement tool after practical testing is a set of 41 items to assess the degree of PO from an OM perspective within hospitals.

CONCLUSIONS

The development and practically testing of a new HPO-measurement tool improves the understanding and application of PO in hospitals and the reliability of the measurement tool. The study shows that PO is a complex concept and appears still hard to objectify.

Engagement in research: an innovative three-stage review of the benefits for health-care performance

Background

There is a widely held assumption that research engagement improves health-care performance at various levels, but little direct empirical evidence.

Objectives

To conduct a theoretically and empirically grounded synthesis to map and explore plausible mechanisms through which research engagement might improve health services performance. A review of the effects on patients of their health-care practitioner's or institution's participation in clinical trials was published after submission of the proposal for this review. It identified only 13 relevant papers and, overall, suggested that the evidence that research engagement improves health-care performance was less strong than some thought. We aimed to meet the need for a wider review.

Methods

An hourglass review was developed, consisting of three stages: (1) a planning and mapping stage; (2) a focused review concentrating on the core question of whether or not research engagement improves health care; and (3) a wider (but less systematic) review of papers identified during the two earlier stages. Studies were included inthe focused review if the concept of ‘engagementinresearch’ was an input and some measure of ‘performance’ an output. The search strategy covered the period 1990 to March 2012. MEDLINE, EMBASE, PsycINFO, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science and other relevant databases were searched. A total of 10,239 papers were identified through the database searches, and 159 from other sources. A further relevance and quality check on 473 papers was undertaken, and identified 33 papers for inclusion in the review. A standard meta-analysis was not possible on the heterogeneous mix of papers in the focused review. Therefore an explanatory matrix was developed to help characterise the circumstances in which research engagement might improve health-care performance and the mechanisms that might be at work, identifying two main dimensions along which to categorise the studies:the degree of intentionalityandthe scope of the impact.

Results

Of the 33 papers in the focused review, 28 were positive (of which six were positive/mixed) in relation to the question of whether or not research engagement improves health-care performance. Five papers were negative (of which two were negative/mixed). Seven out of 28 positive papers reported some improvement in health outcomes. For the rest, the improved care took the form of improved processes of care. Nine positive papers were at a clinician level and 19 at an institutional level. The wider review demonstrated, for example, how collaborative and action research can encourage some progress along the pathway from research engagement towards improved health-care performance. There is also evidence that organisations in which the research function is fully integrated into the organisational structure out-perform other organisations that pay less formal heed to research and its outputs. The focused and wider reviews identified the diversity in the mechanisms through which research engagement might improve health care: there are many circumstances and mechanisms at work, more than one mechanism is often operative, and the evidence available for each one is limited.

Limitations

To address the complexities of this evidence synthesis of research we needed to spend significant time mapping the literature, and narrowed the research question to make it feasible. We excluded many potentially relevant papers (though we partially addressed this by conducting a wider additional synthesis). Studies assessing the impact made on clinician behaviour by small, locally conducted pieces of research could be difficult to interpret without full knowledge of the context.

Conclusions

Drawing on the focused and wider reviews, it is suggested that when clinicians and health-care organisations engage in research there is the likelihood of a positive impact on health-care performance. Organisations that have deliberately integrated the research function into organisational structures demonstrate how research engagement can, among other factors, contribute to improved health-care performance. Further explorations are required of research networks and schemes to promote the engagement of clinicians and managers in research. Detailed observational research focusing on research engagement within organisations would build up an understanding of mechanisms.

Study registration

PROSPERO: CRD42012001990.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Examining Heterogeneous Patterns of Electronic Health Records Use

The basic use of Electronic Health Records (EHR) and the progression toward advanced EHR applications are key concerns facing leaders interested in integrating the healthcare delivery supply chain. Currently, substantial heterogeneity exists among hospitals in terms of EHR use and the progression toward advanced EHR applications. Understanding this heterogeneity is important as hospitals face pressure to adopt and achieve meaningful use of the technology. Contingency theory is tested herein to suggest that a hospital’s structural constraints may explain the heterogeneity among hospitals in terms of their EHR use. Data collected from 297 acute care hospitals in 47 states reveals that critical access hospitals may be slow to use EHR, even in basic applications. Conversely, major teaching hospitals appear to be early adopters, achieving advanced EHR use. These findings are important for hospital executives, Health Information Technology managers, and policymakers concerned with directing resources with an aim toward EHR integration.

Clinical performance indicators: intolerance for variety?

PURPOSE

The performance of NHS U.K. hospitals is under continuous scrutiny as they are constantly under pressure to perform well. A recent document published by an independent body has recommended a host of clinical indicators to assess non-financial performance of hospitals. This study aims to critically analyse the performance of a single U.K. hospital against several of these recommended indicators.

DESIGN/METHODOLOGY/APPROACH

Data presented to the Hospital Trust Board for 12 months were used for this study. Previous years' data were used wherever available.

FINDINGS

Based on data analysis, this hospital's performance is extremely difficult to calculate. The indicators use complex ratios and due to lack of standardisation, the hospital performance could be interpreted as better, worse or indifferent.

RESEARCH LIMITATIONS/IMPLICATIONS

This study analyses most of the recommended indicators. Literature review did not reveal a similar analysis of another hospital against these indicators which precludes comparison.

PRACTICAL IMPLICATIONS

This study highlights the difficulty in comparing the performance of hospitals due to the inherent lack of consistency. Therefore it is apparent that any reward-rebuke system linked to performance should interpret the data with caution. It is therefore suggested that easy to control single value activities and standardised routine activities could be used to measure hospital performance. Alternatively, the hospital could compare with its own statistics from previous years.

ORIGINALITY/VALUE

Literature acknowledges the difficulties in measuring clinical performance. This paper elucidates these difficulties applied to the NHS and suggests alternatives.