Health Services Management Research最新文献

In 2017, British Columbia (BC) transferred responsibility for healthcare services in provincial correctional facilities from the Ministry of Public Safety and Solicitor General to the Ministry of Health. This study explored how healthcare leadership perceived the impact of the transfer on services, work-life, and job satisfaction. We conducted one-on-one interviews (n = 8) with healthcare managers and medical and administrative leadership within Correctional Health Services. Using the Two-Factor theory of job satisfaction as a framework, we applied Interpretive Description methodology to analyse interview data. Participants identified changes to four areas of the working environment: (1) staffing, equipment, and resources (2) systems of supervision and support (3) standards, policies, and quality improvement and (4) culture and orientation. These changes predominantly affected motivational factors of job satisfaction and were described as enriching the roles of managers and staff. Participants described improved autonomy and recognition of providers, increased quality of services delivered, and a shift toward patient-centred care. The perspectives of healthcare leaders provide new insight into the potential impact of transferring healthcare services in custody to a public healthcare system. Discussion of changes and their affects also provide practical learning for jurisdictions seeking to improve healthcare under a variety of governance and service-delivery models.

Background: The shortage of hospital beds for COVID-19 patients has been one critical cause of Emergency Department (ED) overcrowding. Purpose: We aimed at elaborating a strategy of conversion of hospital beds, from non-COVID-19 to COVID-19 care, minimizing both ED overcrowding and the number of beds eventually converted. Research Design: Observational retrospective study. Study Sample: We considered the centralized database of all ED admissions in the Lombardy region of Italy during the second "COVID-19 wave" (October to December 2020). Data collection and Analysis: We analyzed all admissions to 82 EDs. We devised a family of Monte Carlo simulations to evaluate the performance of hospital beds' conversion strategies triggered by ED crowding of COVID-19 patients, determining a critical number of beds to be converted when passing an ED-specific crowding threshold. Results: Our results suggest that the maximum number of patients waiting for hospitalization could have been decreased by 70% with the proposed strategy. Such a reduction would have been achieved by converting 30% more hospital beds than the total number converted in the region. Conclusions: The disproportion between reduction in ED crowding and additionally converted beds suggests that a wide margin to improve the efficiency of the conversions exists. The proposed simulation apparatus can be easily generalized to study management policies synchronizing ED output and in-hospital bed availability.

The underlying tenet of evidence-based decision-making in health services is assessing all the relevant evidence. Using the traditional qualitative and quantitative approaches to identifying evidence may not capture the full spectrum of factors that need to be addressed. A selective mixed-method approach may provide a comprehensive assessment of the relevant knowledge. This paper adds to the methodological literature by outlining a novel sequential, mixed-method, exploratory process for identifying evidence-based data standards that may be used for health service decision-making. The three-phase process, entitled Delphi Plus, engages peer-nominated topic-specific experts to assess all publicly available and practice-based items and, through a series of reviews, reach an evidence-based consensus on standards for decision-making. Each process phase is outlined in-depth and supplemented by practical learnings gained through its implementation. The Delphi Plus methodology provides the first comprehensive process for combining the published and practised data to develop evidence-based data standards. The routine use of Delphi Plus would provide a framework for benchmarking in health services, enabling greater monitoring and evaluation of client outcomes and improving quality care. This manuscript describes the process of implementing Delphi Plus and provides an example of data standards generated from its use, which directly inform the Australian Government's Primary Health Care 10 Year Plan.

Purpose: The aim of this study is to understand how healthcare practitioners experience organisational boundaries and silos in day-to-day operations. Based on a multi-dimensional scale of organisational boundaries, the study examines how organisational demarcation lines enable and constrain daily work tasks in the healthcare sector.Research design: The study is based on a quantitative and qualitative analysis of survey responses from 895 healthcare practitioners in Denmark.Results: The results indicate that tendencies toward organisational silos relate to systems and hierarchies (management-staff) rather than professions and departments. Moreover, the study identifies resource scarcity as an important undercurrent in the understanding of the respondents' perceptions of boundaries and silos.Conclusion: The study contributes to existing research by documenting the coordination and collaboration challenges linked to the multitude of demarcation lines in complex health organisations.

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.

Background: A conspicuous consequence of gatekeeping arrangements in universal, tax-funded, single-payer health care systems is the long waiting times. Besides limiting equal access to care, long waiting times can have a negative impact on health outcomes. Long waiting times can create obstacles in a patient's care pathway. Organization for Economic Co-operation and Development (OECD) countries have implemented various strategies to tackle this issue, but there is little evidence for which approach is the most effective. This literature review examined waiting times for ambulatory care. Objective: The aim was to identify the main policies or combinations of policies universal, tax-funded, and single-payer healthcare systems have implemented to improve the governance of outpatient waiting times. Methods: Starting from 1040 potentially eligible articles, a total of 41 studies were identified via a 2-step selection process. Findings: Despite the relevance of the issue, the literature is limited. A set of 15 policies for the governance of ambulatory waiting time was identified and categorized by the type of intervention: generation of supply capacity, control of demand, and mixed interventions. Even if a primary intervention was always identifiable, rarely a policy was implemented solo. The most frequent primary strategies were: guidelines implementation and/or clinical pathways, including triage, guidelines for referral and maxim waiting times (14 studies), task shifting (9 studies), and telemedicine (6 studies). Most studies were observational, with no data on costs of intervention and impact on clinical outcomes.

This study addresses recent calls for more research on the potential intervening role exerted by certain individual variables in the relationship between performance feedback and performance. Specifically, this study selects medical managers' sense of managerial self-efficacy as a potential mediational variable in the feedback-performance relationship. A mediational model examining how the effect of performance feedback on medical managers' budgetary performance is influenced by their sense of managerial self-efficacy was established based on survey data from 60 medical managers working in a hospital. Data analysis was conducted using the partial least squares technique, and the results confirmed the hypothesised relationships. Specifically, performance feedback was positively associated with managerial self-efficacy, and managerial self-efficacy exerted a positive influence on medical managers' budgetary performance. Further, performance feedback was determined not to be directly associated with budgetary performance; however, a full mediating effect of managerial self-efficacy was found. These findings make several contributions to the literature and can help healthcare managers have a better understanding of the consequences and importance of the technical features of performance feedback reports.

Due to the growing population and advancing economy, medical waste accumulation has come to the attention of all facets of society. Although the issue of medical waste management planning has been addressed in developed nations, it still exists in several developing nations. This paper examines the effects of barriers under the Organization action, work handling, and Human Resource Practices section on the healthcare waste management (HCWM) sector in a developing country India. In this study, three hypotheses were constructed and tested using Structural equation modeling. The questionnaire was distributed among 200 health professionals to collect their responses. Ninety-seven responses were received, and 15 barriers were identified affecting the healthcare waste management sector. The results show that all three barriers (i.e., Organizational, Waste handling, and Human resources) hinder the Healthcare waste management sector. Organizational Barriers are the most significant among other barriers. So, the hospitals have to take appropriate actions to overcome these barriers. This paper helps to complete the research gap by providing the different characteristics of barriers. The development of a model for the analysis of barriers influencing HCWM is the Author's original contribution.

There is a growing interest in applying the Service Design (SD) approach to innovate and transform healthcare systems. However, comprehensive studies are scarce. This study systematically reviews the literature on SD initiatives towards healthcare system transformation. The research questions are: How has the SD approach been applied to the healthcare sector? To what extent are the SD initiatives contributing to transform the health systems? What are the main challenges faced by SD initiatives to transform the health system? Which are the main stakeholders involved in the process, and how could they change according to the type of initiative? The search was conducted in March 2021 in eight databases and returned 990 articles evaluated through a research protocol, resulting in 47 studies included in this review. These studies were explored through thematic analysis and considering two conceptual models: the SD approach (Patrício et al., 2020) and the ecosystem perspective (Beirão et al., 2017). The findings show that SD initiatives have been implemented at all levels of the ecosystem, but only 49% (47/23 studies) present a transformative character. The SD initiatives challenges were organized into four themes: (1) Planning SD initiatives as a lever in transforming health systems; (2) Using SD tools creatively; (3) Considering the use of new technologies to transform health systems positively, and (4) Facing the challenges of applying the Experience-Based Design and Experience Based in Co-Design approaches in project development. This study is relevant for helping managers and researchers in their efforts to design truly transformative services with a focus on improving health systems and social wellbeing.