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The purpose of this paper is to explore the role of social identity and the psychological contract as plausible frameworks of transformational leadership (TL)-attitudes relationship.

A cross-sectional study was conducted amongst 134 employees. All variables were measured using self-report measures and multiple mediator analysis was used to test the hypotheses.

Both social identity and psychological contract acted as significant mediators between leadership and attitudinal outcomes. However, social identity emerged as the stronger mediator.

This study provides evidence on the relative significance of social identity over the psychological contract in explaining TL-attitudes relationship at work. Further longitudinal work is warranted.

The results suggest providing internal work environments and practices which enable employees to experience a high degree of fairness and, above all, a sense of identity with the organization can link better their perceptions of their leaders with work attitudes.

This study contributes to the literature by highlighting the importance of TL not only on work attitudes but also on the value of important mediators like social identity and the psychological contract as feeding into this relationship. It therefore promotes and raises awareness of the need to explore the explanatory power of these two mediators in understanding the effects of leadership on followers.

The purpose of this paper is to present the application of logical framework analysis (LFA) for implementing continuous quality improvement (CQI) across multiple settings in a tertiary care hospital.

This study adopts a multiple case study approach. LFA is implemented within three diverse settings, namely, intensive care unit, surgical ward, and acute in-patient psychiatric ward. First, problem trees are developed in order to determine the root causes of quality issues, specific to the three settings. Second, objective trees are formed suggesting solutions to the quality issues. Third, project plan template using logical framework (LOGFRAME) is created for each setting.

This study shows substantial improvement in quality across the three settings. LFA proved to be effective to analyse quality issues and suggest improvement measures objectively.

This paper applies LFA in specific, albeit, diverse settings in one hospital. For validation purposes, it would be ideal to analyse in other settings within the same hospital, as well as in several hospitals. It also adopts a bottom-up approach when this can be triangulated with other sources of data.

LFA enables top management to obtain an integrated view of performance. It also provides a basis for further quantitative research on quality management through the identification of key performance indicators and facilitates the development of a business case for improvement.

LFA is a novel approach for the implementation of CQI programs. Although LFA has been used extensively for project development to source funds from development banks, its application in quality improvement within healthcare projects is scant.

The purpose of this paper is to analyse hospital dashboards’ visibility of information at different management levels to improve quality and performance in an acute general hospital.

Data were generated via 21 semi-structured interviews across different management levels.

All management levels had greater visibility of information, could make informed decisions, and registered performance improvement. Specifically, waiting time improved, however since introduction of hospital dashboards was work-in-progress at time of study, managers could not record improvement in terms of cost reductions, clinical effectiveness, patient safety and patient satisfaction. Different managerial levels had different visibility with top management having the greatest.

In single case studies, where only one context is used, the findings cannot be reproduced in different contexts; even though most of the results could be matched with the current literature.

The need to have balanced key performance indicators that take into account other facets of improvements, apart from time, has been emphasised. Furthermore, if middle and departmental managers have greater visibility, this would allow them to work towards a strategic fit between the departments that they manage with the rest of the hospital.

There is scant literature regarding performance dashboards’ enhancement of visibility of information at different management levels. Furthermore, according to the authors’ knowledge, no other paper has tried to identify and discuss the different levels of information, which should be visible from bedside to board namely to management, clinicians and public.

The purpose of this paper is to identify the extent to which immigrant nurses have integrated within the Maltese healthcare system.

This research consisted of a qualitative case study approach which was conducted within Malta’s four public entities in the secondary care sector. In this case study, data were collected through 34 semi-structured interviews with ten nursing managers, 12 Maltese nurses and 12 immigrant nurses. The data were analysed using content analysis. Data were collected between June 2015 and July 2015.

Four themes emerged from the data. These were: human resources management, language barrier, cultural differences and discrimination. The recruitment of nurses to Malta from other countries translated into several positive and favourable outcomes, such as the sharing of knowledge. However, a number of negative and unfavourable outcomes are also indicated in the data including language barrier and discrimination.

This paper presents a discussion of the issues experienced within a healthcare system in relation to the mobility of nurses. Increasingly, the nursing workforce across the globe comprises of professionals from various nationality, origin, training, culture and professional ethos. The findings are presented in an effort to inform policy makers, management and administrative structures regarding the issues pertaining to the prevalent growing reality of mobility in nurse populations.

This research study provides a unique contribution to the literature regarding the phenomenon of nurse mobility because it embraces the integration of nurses as a two-way process. Since data was collected from immigrant nurses as well as from local nurses and nursing managers, this study hopes to offer a different point of view from previous studies which largely focused on the views of immigrant nurses only.

Hospital length of stay (LOS) is not only a function of patient- and disease-related factors, but is also determined by other health system-wide variables. Managers and clinicians strive to achieve the best possible trade-off between patients’ needs and efficient utilisation of hospital resources, while also embracing ethical decision making. The purpose of this paper is to explore the perceptions of the hospital’s major stakeholders as to what affects the duration of LOS of inpatients.

Using a data-triangulated case study approach, 50 semi-structured interviews were performed with management, doctors, nurses and patients. Additionally, the hospitals’ standard operating procedures, which are pertinent to the subject, were also included in the thematic analysis.

This study shows that LOS is a multi-dimensional construct, which results from a complex interplay of various inputs, processes and outcomes.

The findings emerging from a single case study approach cannot be generalised across settings and contexts, albeit being in line with the current literature.

The study concludes that a robust hospital strategy, which addresses deficient organisational processes that may unnecessarily prolong LOS, is needed. Moreover, the hospital’s strategy must be sustained by providing good primary care facilities within the community set-up, as well as by providing more long-term care and rehabilitation beds to support the hospital turnover.

The subject of LOS in hospitals has so far been tackled in a fragmented manner. This paper provides a comprehensive and triangulated account of the complexities surrounding the duration in which patients are kept in hospital by key stakeholders, most of whom were hands-on in the day-to-day running of the hospital under study.

The purpose of this paper is to give a comprehensive and updated analysis of the available literature on hospital dashboards.

A search of the current literature was performed by searching electronic databases, including Google Scholar, EBSCO and Medline, as well as books.

In all, 48 manuscripts consisting of peer reviewed articles, conference proceedings, case reports and text books were included in this review.

Despite the numerous advantages of performance dashboards, several authors have mentioned a number of challenges. It was evident from the literature that any setting requires significant effort, especially to ensure the quality of data being collected. In fact, significant investment, both in terms of financial and human resources, is required to achieve an effective dashboard. Furthermore, most of the studies available in the literature were individual case reports or anecdotal accounts rather than empirical studies. Thus, further research is required to ascertain the effectiveness of performance dashboards. In view of these findings, each organisation should make its own decisions whether or not to adopt performance dashboards.

Most of the literature is fragmented as it reports the use of different types of dashboards, namely strategic, tactical and operational, as separate tools. This literature review contributes to knowledge as it brings together the different types of dashboards and the cascading effect of one dashboard onto another in order to achieve and retain organisational alignment with the overall strategic goals.

The purpose of this paper is to identify and analyse the readmission risk prediction tools reported in the literature and their benefits when it comes to healthcare organisations and management.

Readmission risk prediction is a growing topic of interest with the aim of identifying patients in particular those suffering from chronic diseases such as congestive heart failure, chronic obstructive pulmonary disease and diabetes, who are at risk of readmission. Several models have been developed with different levels of predictive ability. A structured and extensive literature search of several databases was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis strategy, and this yielded a total of 48,984 records.

Forty-three articles were selected for full-text and extensive review after following the screening process and according to the eligibility criteria. About 34 unique readmission risk prediction models were identified, in which their predictive ability ranged from poor to good (c statistic 0.5–0.86). Readmission rates ranged between 3.1 and 74.1% depending on the risk category. This review shows that readmission risk prediction is a complex process and is still relatively new as a concept and poorly understood. It confirms that readmission prediction models hold significant accuracy at identifying patients at higher risk for such an event within specific context.

Since most prediction models were developed for specific populations, conditions or hospital settings, the generalisability and transferability of the predictions across wider or other contexts may be difficult to achieve. Therefore, the value of prediction models remains limited to hospital management. Future research is indicated in this regard.

This review is the first to cover readmission risk prediction tools that have been published in the literature since 2011, thereby providing an assessment of the relevance of this crucial KPI to health organisations and managers.

Length of stay (LOS) in hospital after surgery varies for each patient depending on surgeon’s decision that considers criticality of the surgery, patient’s conditions before and after surgery, expected time to recovery and experience of the surgeon involved. Decision on patients’ LOS at hospital post-surgery affects overall healthcare performance as it affects both cost and quality of care. The purpose of this paper is to develop a model for deriving the most appropriate LOS after surgical interventions.

The study adopts an action research involving multiple stakeholders (surgeon, patients/patients’ relatives, hospital management and other medics). First, a conceptual model is developed using literature and experts’ opinion. Second, the model is applied in three surgical interventions in a public hospital in Malta to demonstrate the effectiveness of the model. Third, the policy alternatives developed are compared to a selection of current international standards for each surgical intervention. The proposed model analyses three LOS threshold policies for three procedures using efficiency and responsiveness criteria. The entire analysis is carried out using 325 randomly selected patient files along with structured interactions with more than 50 stakeholders (surgeon, patients/patients’ relatives, hospital management and other medics). A multiple criteria decision-making method is deployed for model building and data analysis. The method involves combining the analytic hierarchy process (AHP) for verbal subjective judgements on prioritizing the four predictors of surgical LOS—medical, financial, social and risk, with pairwise comparisons of the sub-criteria under each criterion in line with the concerned interventions—the objective data of which are obtained from the patients’ files.

The proposed model was successfully applied to decide on the best policy alternative for LOS for the three interventions. The best policy alternatives compared well to current international benchmarks.

The proposed method needs to be tested for other interventions across various healthcare settings.

Multi-criteria decision-making tools enable resource optimization and overall improvement of patient care through the application of a scientific management technique that involves all relevant stakeholders while utilizing both subjective judgements as well as objective data.

Traditionally, the duration of post-surgery LOS is mainly based on the surgeons’ clinical but also arbitrary decisions, with, as a result, having insufficiently explicable variations in LOS amongst peers for similar interventions. According to the authors’ knowledge, this is the first attempt to derive post-surgery LOS using the AHP, a multiple criteria decision-making method.

The aim of this paper was to explore the linkage between corporate social responsibility (CSR) and person-centered care (PCC). The scope of the review was, therefore, to identify whether – as a result of such linkage – CSR may be a potential vehicle for delivering PCC within health-care organizations.

Data were retrieved by searching multiple keywords on PubMed, Medline and Scopus databases with inclusion/exclusion criteria based on years of publication from 2001 to 2018, language, no geographic restrictions, paper focus, research and document types. A total of 56 articles (N = 56) were selected and reviewed. Thematic analysis was conducted to identify and compare the main features of PCC and CSR.

The findings revealed that while CSR and PCC are interrelated, CSR features are not being exploited in their entirety in formalizing PCC as part of the CSR strategy. In particular, the two salient CSR features explicitly referred to in conjunction with explicit PCC characteristics are quality of care and health communication. Furthermore, patients’ rights and dignity were the leading implicit CSR features mentioned in conjunction with both explicit and implicit PCC characteristics.

Subjectivity of researchers, limited number of databases and publication types included are the main limitations of this research.

To the best of the authors’ knowledge, this is the first paper analyzing CSR and PCC in an interrelated way.

Tertiary hospitals have registered an incremental rise in expenditure mostly because of the increasing demands by ageing populations. Reducing the length of stay (LOS) of patients within tertiary hospitals is one of the strategies, which has been used in the last decades to ensure health care systems’ sustainability. Furthermore, LOS is one of the key performance indicators, which is widely used to assess hospital efficiency. Hence, it is crucial that policy makers use evidence-based practices in health care to aim for optimal LOS. The purpose of this paper is to identify and summarize empirical research that brings together studies on the various variables that directly or indirectly impact on LOS within tertiary hospitals so as to develop a LOS causal systems model.

This scoping review was guided by the following research question: “What is affecting the LOS of patients within tertiary-level health care?” and by the guidelines specified by Arksey and O’Malley (2005), and by Armstrong et al. (2011). Relevant current literature was retrieved by searching various electronic databases. The PRISMA model provided the process guidelines to identify and select eligible studies.

An extensive literature search yielded a total of 30,350 references of which 46 were included in the final analysis. These articles yielded variables, which directly/indirectly are linked to LOS. These were then organized according to the Donabedian model – structure, processes and outcomes. The resultant LOS causal model reflects its complexity and confirms the consideration by scholars in the field that hospitals are complex adaptive systems, and that hospital managers must respond to LOS challenges holistically.

This paper illustrates a complex LOS causal model that emerged from the scoping review and may be of value for future research. It also highlighted the complexity of the construct under study.