Search results

Purpose – The numbers of health care transparency initiatives are increasing. Despite the growing availability of quality data, there seems to be a shortage of evidence about the effects and effectiveness of such initiatives. The aim of this systematic review is to document the effects of transparency, defined as the public release of quality performance data, on hospital care outcomes.

Design/methodology/approach – Through a review of the literature, we chose 46 keywords to use in our searches and focused on empirical studies published in English between 2010 and 2015. The use of combinations of these keywords in searches of four databases (PubMed, Scopus, Web of Science, and the Cochrane Library) generated 13,849 publications. The removal of duplicates and exclusion of studies that were not empirical or not relevant to transparency and quality resulted in 39 studies to be reviewed.

Findings – Our review of the literature confirmed the growth of health care transparency efforts, led by the United States, and found mixed results regarding the effects of transparency on hospital care outcomes. For example, mortality, the most frequently researched performance measure (n = 15), exhibited this mixed pattern by having studies showing a reduction (n = 4), increase (n = 1), mixed findings (n = 4), and no significant relationship (n = 6) as a result of public release. We also found a limited number of articles related to unintended consequences of public reporting. When compared with earlier systematic reviews, there seems to be a trend in the reduction of unintended consequences. Therefore, we recommend exploration of this potential trend in future studies empirically.

Practical Implications – The research findings summarized in this systematic review can be used to understand the results of existing transparency efforts and to develop future transparency initiatives that may better enhance hospital quality performance.

Originality/value – This is the latest and most comprehensive systematic review summarizing the effects of transparency of quality metrics on hospital care outcomes.

Long-term care (LTC) homes are highly regulated settings that provide care to people living with complex health conditions who are often at the end of their lives. Mental health and quality of life are important concepts in LTC given the inherent poor health and diminished autonomy of residents living in this setting. The COVID-19 pandemic had the potential to further compound these issues through lockdowns limiting movement within and outside of LTC homes, increased fear of severe COVID-19 infections, staff shortages, and impaired communication through personal protective equipment. However, the evidence describing the effect of the pandemic on mental health and quality of life is mixed, with some studies describing increased rates of mental health concerns and others presenting modest increases or decreases. Creative strategies to mitigate negative mental health consequences of lockdown included technology supported and window or outdoor visits, increased access to volunteers, and supports for families. However, the evidence in this area continues to evolve as subsequent waves of the pandemic progress. Future research may present new evidence about other strategies that became important in different stages of the pandemic.

Researchers recommend a reorganization of the medical profession into larger groups with a multispecialty mix. We analyze whether there is evidence for the superiority of these models and if this organizational transformation is underway.

We summarize the evidence on scale and scope economies in physician group practice, and then review the trends in physician group size and specialty mix to conduct survivorship tests of the most efficient models.

The distribution of physician groups exhibits two interesting tails. In the lower tail, a large percentage of physicians continue to practice in small, physician-owned practices. In the upper tail, there is a small but rapidly growing percentage of large groups that have been organized primarily by non-physician owners.

While our analysis includes no original data, it does collate all known surveys of physician practice characteristics and group practice formation to provide a consistent picture of physician organization.

Our review suggests that scale and scope economies in physician practice are limited. This may explain why most physicians have retained their small practices.

Larger, multispecialty groups have been primarily organized by non-physician owners in vertically integrated arrangements. There is little evidence supporting the efficiencies of such models and some concern they may pose anticompetitive threats.

This is the first comprehensive review of the scale and scope economies of physician practice in nearly two decades. The research results do not appear to have changed much; nor has much changed in physician practice organization.

This chapter provides an introduction to the volume and reviews some issues related to access, quality and satisfaction with care as three critical concepts in health services and health care delivery. In addition to this review of some of the material on access, quality and satisfaction with care, this chapter also serves as an introduction to the volume. As such, the chapter explains the organization of the volume and briefly comments on each of the chapters included in the volume.

Purpose – This chapter reports on experts’ perspectives on health information technology (HIT) and how it may be used to improve health care quality and to lower health care costs.

Design/methodology/approach – Two roundtables were convened that focused on how to best use HIT to improve the quality of health care while ensuring it is accessible and affordable. Participants drew upon lessons learned in the Netherlands, the United States, and other countries.

Findings – The first roundtable focused on the use of (1) electronic health records (EHRs) by health care providers, (2) cloud computing for EHRs and health portals for consumers, and (3) data registries and networks for public health surveillance. The second roundtable highlighted (1) the rapid growth of personalized medicine, (2) the corresponding growth and sophistication of bioinformatics and analytics, (3) the increasing presence of mobile HIT, and (4) the disruptive changes in the institutional structures of biomedical research and development.

Practical implications – Governmental sponsorship of small pilot projects to solve practicable health system problems would encourage HIT innovation among key stakeholders. However, large-scale HIT solutions – developed through small pilot projects – should be pursued through public–private partnerships. At the same time, governments should speed up legislative and regulatory procedures to encourage adoption of cost-effective HIT innovations.

Social implications – Mobile HIT and social media are capable of fostering disease prevention and encouraging personal responsibility for improving or stabilizing chronic diseases.

Originality/value – Both health services researchers and policy makers should find this chapter of value since it highlights trends in HIT and addresses how health care quality may be improved while costs are contained.

The research analyzes good practices in health care “management experimentation models,” which fall within the broader range of the integrative public–private partnerships (PPPs). Introduced by the Italian National Healthcare System in 1991, the “management experimentation models” are based on a public governance system mixed with a private management approach, a patient-centric orientation, a shared financial risk, and payment mechanisms correlated with clinical outcomes, quality, and cost-savings. This model makes public hospitals more competitive and efficient without affecting the principles of universal coverage, solidarity, and equity of access, but requires higher financial responsibility for managers and more flexibility in operations.

In Italy the experience of such experimental models is limited but successful. The study adopts the case study methodology and refers to the international collaboration started in 1997 between two Italian hospitals and the University of Pittsburgh Medical Center (UPMC – Pennsylvania, USA) in the field of organ transplants and biomedical advanced therapies.

The research allows identifying what constitutes good management practices and factors associated with higher clinical performance. Thus, it allows to understand whether and how the management experimentation model can be implemented on a broader basis, both nationwide and internationally. However, the implementation of integrative PPPs requires strategic, cultural, and managerial changes in the way in which a hospital operates; these transformations are not always sustainable.

The recognition of ISMETT’s good management practices is useful for competitive benchmarking among hospitals specialized in organ transplants and for its insights on the strategies concerning the governance reorganization in the hospital setting. Findings can be used in the future for analyzing the cross-country differences in productivity among well-managed public hospitals.

This chapter examines the relationship between health service restructuring and the health care experiences of women from rural and remote areas of Canada. Data were collected from 34 focus groups (237 women), 15 telephone interviews and 346 responses from an online survey. Access to services, care quality and satisfaction are salient themes in these data. Problems include: travel, shortage of providers, turnover in personnel, delays associated in accessing care, lack of knowledge of women's health issues and patronizing attitudes of some health care providers. Health care service restructuring has led to deterioration in service availability and quality. Key areas for policy development need to address health care access and quality improvement issues, including increasing access to more (particularly female) providers who are sensitive to women's health issues.

In this chapter, we identify three distinct transformational performance improvement (TPI) approaches commonly used to redesign work processes in health care organizations. We describe the unique components or tools that each approach uses to improve the delivery of health services. We also summarize what is empirically known about the effectiveness of each TPI approach according to systematic reviews and recent studies published in the peer-reviewed literature. Based on examination of this research, we discuss what knowledge is still needed to strengthen the evidence for whole system transformation. This involves the use of conceptual frameworks to assess and guide implementation efforts, and facilitators and barriers to change as revealed in a recent evaluation of one major initiative, the Lean Enterprise Transformation (LET) at the Veterans Health Administration. The analysis suggests ways in which TPI facilitators can be developed and barriers reduced to improve the effectiveness and sustainability of quality initiatives. Finally, we discuss appropriate study designs to evaluate TPI interventions that may strengthen the evidence for their effectiveness in real world practice settings.

In this chapter, we focus on the major reforms intended to ensure the sustainability of health care in Denmark between 2000 and 2020 and the evidence for the effectiveness of these reforms. We take a broad definition of sustainability and include reforms that aimed to improve the productivity of the health care sector both in terms of increasing activity for the same set of inputs and in terms of improving the quality of care. A characterisation of the Danish health care system as having gone through evolution rather than revolution (Pedersen, Christiansen, & Bech, 2005) is, with one exception, still true today, and reforms have been relatively few. As we demonstrate there is a relative lack of formal evaluations of these reforms.

In the first decade of the period, the majority of new policy measures aimed to increase the quantity of care provided by the health care sector. With the introduction of diagnosis-related groups (DRGs) to measure hospital activity, a wave of reforms created a stronger link between activity and hospital reimbursement, and introduced additional incentives for increasing activity, alongside requirements for increased technical efficiency. A centralisation reform in 2007 reduced the number of administrative units and saw the beginning of a development that would also lead to fewer hospital units. Procurements of medicines were professionalised, and a national council was established to consider the use of expensive hospital medicine.

In the second-half of the period, policy makers began questioning whether increased activity was always for the better, and slowly began experimenting with initiatives that would shift the focus to the quality and appropriateness of care. As in many other countries, this move occurred in the light of a realisation of a shift in the demographic structure of the country and the change this was expected to create for the future demand for health care.

Although some empirical evidence exists, it is striking that few of the changes to the health care sector has been subject to formal academic evaluation – especially when considering the availability of high quality nationwide micro data. We point to a number of important lessons that could be drawn from the Danish experiences.

However, the greatest potential for research into the sustainability of health care in the Danish setting is probably still to be realised by taking advantage of the possibilities of linking micro data on individuals' health care utilisation, schooling outcomes and labour supply, with the possibility of following individuals across decades. For example, Danish micro data make it possible to follow newborns in 1990 until they reach adulthood and simultaneously follow their parents from adulthood until they reach 60 years of age where the prevalence of chronic diseases begins to show.

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.