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The purpose of this paper is to determine accreditation effects on Iranian military hospital health service quality through nurses’ viewpoints.

The paper is a cross-sectional questionnaire-based study. Sampling drew from a hospital nurse census (n=160). Descriptive statistics were used to analyze participant demographics and nurses’ views. Linear regression analysis determined the independent variables’ overall effect on the accreditation quality results dimension (dependent variable).

From the nurses’ viewpoints, accreditation effects on services quality mean score was 3.60±0.61. Linear regression analysis showed that leadership and quality management were identified as the most important accreditation quality predictors. The R² value (0.698) showed that nearly 70 percent of the dependent variable changes were affected by the independent variables.

This study gives hospital managers a deeper insight into accreditation and its effects on military hospital service quality. Military hospitals benefit from military organization such as hierarchy and command chain, so managers should employ these characteristics to adopt appropriate policies to promote human resource management as a competitive advantage. Furthermore, results will guide public and private hospital managers on how to manage organizational variables that benefit from accreditation.

Accreditation was introduced as a hospital quality improvement program. However, implementing accreditation programs should be cost-effective. Hospital managers and employees should feel that accreditation can improve service quality. Nurses had positive viewpoints about accreditation and its effects on military hospital service quality.

Saudi Arabian hospital performance, vis‐à‐vis patient satisfaction with service provision, has emerged as a key policy and planning concern. Keeping in view public and private hospital service quality, this article seeks to provide guidelines to the on‐going Saudi Arabian health service reorganization, which emphasizes decentralization, bed‐capacity expansion, research‐based policymaking and initiatives in the health insurance sector.

The article outlines an empirical study that compares patient satisfaction with service quality in Saudi Arabian public and private sector hospitals. The authors employ a stratified random sample (1,000 inpatients) from five Saudi Arabian public and five private hospitals. Data were collected through questionnaire using the SERVQUAL scale. For reducing the language bias the questionnaire was translated into Arabic. The response rate was 74.9 percent. Data were analyzed using SPSS and appropriate descriptive and inferential statistical techniques.

Cronbach's alpha for five service‐quality dimensions (tangibles, reliability, responsiveness, safety and empathy) were high and the SERVQUAL instrument proved to be reliable, valid and appropriate. The results showed that sex, education, income and occupation were statistically significant in influencing inpatients' satisfaction, and all the null hypotheses were rejected. Only inpatient age was not significant.

The study highlights service quality influence in the design of broader healthcare strategies for Saudi Arabian public and private hospitals. It demands that management researchers and analysts must identify regional service quality consistencies and related inpatient demographic indicators.

The study offers some insights into, and guidance for, hospital quality assurance in Saudi Arabia in general and the urban hospital setting in the Middle‐East in particular.

The aim of this article is to examine the differences in service quality between public and private hospitals in Turkey.

This study applies the principles behind the SERVQUAL model and compares Turkey's public and private hospital care service quality. The study sample contains a total of 200 outpatients. Through the identification of 40 service quality indicators and the use of a Likert‐type scale, two questionnaires containing 80‐items was developed. The former measured patients' expectations prior to admission to public and private hospital service quality. The latter measured patient perceptions of provided service quality.

The results indicate that inpatients in the private hospitals were more satisfied with service quality than those in the public hospitals. The results also suggest that inpatients in the private hospitals were more satisfied with doctors, nurses and supportive services than their counterparts in the public hospitals. Finally, the results show that satisfaction with doctors and reasonable costs is the biggest determinants of service quality in the public hospitals.

Consequently, SERVQUAL, as a standard instrument for measuring functional service quality, is reliable and valid in a hospital environment.

The study applies the principles behind the SERVQUAL model and uses Donabedian’s framework to compare and contrast Malta’s public and private hospital care service quality. Through the identification of 16 service quality indicators and the use of a Likert‐type scale, two questionnaires were developed. The first questionnaire measured patient pre‐admission expectations for public and private hospital service quality (in respect of one another). It also determined the weighted importance given to the different service quality indicators. The second questionnaire measured patient perceptions of provided service quality. Results showed that private hospitals are expected to offer a higher quality service, particularly in the “hotel services”, but it was the public sector that was exceeding its patients’ expectations by the wider margin. A number of implications for public and private hospital management and policy makers were identified.

Hospitals are complex organisations accounting for most of total health expenditure. They play a critical role in providing care to patients with high levels of need. A key policy concern is that patients receive high quality care. Policymakers have attempted to influence hospital quality in different ways. This chapter focuses on three key policy levers: the extent to which hospital competition and higher hospital tariffs (of the DRG type) can stimulate quality, and whether non-profit hospitals provide higher or lower quality than for-profit ones. The chapter outlines key methodological challenges and selectively reviews the main findings from the literature. While several studies suggest that hospital competition reduces mortality rates for heart attack cases when hospital tariffs are fixed (under a DRG system), at this stage is unclear whether the effect holds across a range of quality indicators. Moreover, the limited literature on hospital mergers tends to suggest that hospital quality does not change following a merger. Finally, whether non-profit hospitals provide higher or lower quality varies across regions and institutional arrangements. The economic theory suggests several mechanisms with opposite effects on quality. To guide policy, future work needs to further unpack the various mechanisms through which these three key policy issues affect hospitals incentives.

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.

The health care industry has been influenced by changes in the market structure and new technological developments during the recent decades. With the new technological developments in medicine, some less complex care moved out of the hospitals that led to decrease in demand for inpatient services. This recent change in hospital care created excess capacity in hospital markets, and therefore hospitals started to explore potential financial gains through horizontal consolidations. This has resulted in a wave of mergers in 1990s, which transformed the US, Canadian and European hospital markets. This, in turn, created concerns among policy makers and researchers in terms of its welfare implications.

We present a description and analysis of the current reforms in the French system of “assurance maladie”, or its health insurance system, particularly as they bear on quality at the hospital level. The measurement and management of quality play a significant role in the reform, thus providing a particularly timely example for health care policy makers, researchers, and managers. We discovered several lessons from the French experience. First, the issue of workload influenced thinking about how best to build a given indicator, and led to careful evaluation of the added value of additional data collection. In some cases the indicators are actually more of a screen or filter than an actual assessment of quality, with particularly high or low values signaling the need for further investigation rather than serving as assessments per se. Second, the development and implementation of quality indicators (QIs) demand the involvement of professionals in the process. Third, process indicators seemed to be more useful than outcome indicators. Fourth, expectations for quality management should be aligned with feasibility and with the reality of measurement system. For example, the workload is closely tied to the state of the hospital data collection systems (indicators selection). Lastly, the twin objectives of quality improvement and accountability do not necessarily mesh easily or well.

The purpose of this study is to investigate how two types of drivers, namely, executive compensation and market competition, can affect hospital quality in the USA. Recently, patients, insurers and regulators have increasingly focused on hospital quality. Understanding the interplay of incentives in this industry is important because in 2019, hospital treatment contributed $1.161bn to health-care costs in the USA. This study answers the call for more studies in the so-called “mixed” industry, where ownership differences can affect organizational objectives and operating constraints.

This study explores the roles of hospital executive compensation and industry competition as determinants of health-care quality. Specifically, the study probes the heterogeneity in the factors that influence quality across hospital types in the USA.

Using California hospital data from 2006 through 2020, the findings show that the effects of compensation and competition on hospital quality differ by ownership type. Executive compensation is positively associated with quality in for-profit hospitals but is not associated with that of nonprofit hospitals, suggesting for-profit hospitals are more likely to use higher levels of compensation to attract managers with higher ability, whereas the utility function for nonprofit managers may be multidimensional. Within the nonprofit hospital group, competition is more positively associated with quality for religious nonprofits relative to secular nonprofits, suggesting that competition provides more monitoring for religious hospitals.

Taken together, the findings provide evidence that the drivers of quality vary across hospitals in ways consistent with differences in constraints and objectives across ownership types. The findings are important for regulators seeking to incentivize higher quality. For example, Medicare in the USA has incorporated quality measures into its new hospital reimbursement scheme (value-based purchasing) to incentivize quality. This study proposes that regulators should consider differences across ownership types when evaluating the best ways to incentivize hospital quality.

Healthcare networks are becoming ubiquitous, yet it is unclear how hospitals with varying quality capabilities would fare by being affiliated with large healthcare networks. The purpose of this paper is to first consider the deductive configuration perspective and distinguish high and low quality hospitals by using clinical and experiential quality as two dimensions of quality capability. Next, it examines the impact of healthcare network size on operating costs of hospitals. Additionally, the paper investigates the interaction effect of hospital demand and healthcare network size on operating costs.

The paper uses a dataset that was created by combining five separate sources. Cluster analysis technique is used to classify hospitals into four groups – holistic quality leaders (high clinical and experiential quality capability), experiential quality focusers (low clinical quality capability and high experiential quality capability), clinical quality focusers (high clinical capability and low experiential quality capability), and quality laggards (low clinical and experiential quality capability). The authors test the research hypotheses by means of regression analyses after controlling for several contextual characteristics.

The results show that affiliation with large healthcare networks reduces operating costs for quality laggards, but increases these costs for experiential quality focusers and clinical quality focusers. The hypothesized positive relationship between healthcare network size and costs is not supported for holistic quality leaders. The authors find that clinical quality focusers and holistic quality leaders can complement higher utilization levels in their operations due to increased demand and healthcare network size to reduce their operating costs per day.

There has been increasing evidence suggesting that hospitals must carefully manage both clinical and experiential quality. By focusing on both clinical and experiential quality, unlike experiential quality focusers and clinical quality focusers, holistic quality leaders are not adversely affected by the size of their network. The results suggest that experiential quality focusers and clinical quality focusers should either embrace holistic quality management or restrict the size of their networks to maintain their quality level and to reduce coordination costs.