Journal of Health Organization and Management最新文献

Purpose: We aim to address the evolving phenomenon of dry promotions and its impact on employee well-being in organizations. Dry promotion, its possible effects on employee well-being and some strategies to mitigate its adverse consequences are presented as a viewpoint paper.

Design/methodology/approach: The arguments in this viewpoint are built on theoretical insights drawn from various organizational theories, such as Maslow's hierarchy of needs, Herzberg's two-factor theory and self-determination theory. However, the main line of thought revolves around positive psychology theory, which assesses the paper's existing literature, news articles and case studies to discuss the emerging phenomenon concisely.

Findings: Dry promotion is often characterized by job title upgrades without corresponding pay increases. While dry promotion may satisfy higher-level needs for some individuals, they usually neglect lower-level needs, leading to stress and work-life imbalance, ultimately causing detrimental effects on employee well-being. Strategies at individual, group and organizational levels are crucial to navigate this phenomenon and its consequences. We argue that fair communication, supportive workplace culture and providing avenues for skill enhancement curtail the adverse effects of dry promotion on employee well-being. In addition, a culture fostering mindfulness can help employees navigate the challenges of increased responsibilities without proportional financial rewards.

Practical implications: Our study can provide at least some guidance on how to navigate through the phenomenon of dry promotions.

Originality/value: Our paper contributes to the scant literature on dry promotions by assessing the likely effects of dry promotions on employee well-being and suggesting practical strategies to deal with it.

Purpose: Leadership was a critical component in managing the Covid-19 pandemic. A scoping review of clinical leadership investigates the leadership styles employed by clinicians during times of unprecedented crisis, with the Covid-19 pandemic as a focus.

Design/methodology/approach: The scoping review was designed based on a five-stage approach proposed by Arksey and O'Malley (2005). Three key databases were searched: Scopus, Cumulative Index for Nursing and Allied Health Literature (CINAHL), and ProQuest Healthcare Administration between 2020 and 2022.

Findings: Of the 23 papers included in the review, the majority were based on developed countries. Seven leadership approaches were found to be useful in times of crises, with compassionate leadership being particularly effective. Seven key themes relating to the pandemic were also identified.

Research limitations/implications: This review is limited by the search strategy employed and the possibility some publications could have been missed. However, it is clear from the results that there is limited research on healthcare leadership outside of the acute setting and in developing countries. These are important areas of further research that need to be pursued to inform our learning for other times of unprecedented crisis.

Originality/value: Various leadership styles were employed during the pandemic, but compassionate leadership, which fosters a collaborative, caring and kind environment, becomes a necessity when faced with uncertainty and adversity. This review identifies key factors that leaders need to manage during the pandemic. Practically, it sheds light on leadership strategies that may be employed in future unprecedented crises.

Purpose: The integration of big data with artificial intelligence in the field of digital health has brought a new dimension to healthcare service delivery. AI technologies that provide value by using big data obtained in the provision of health services are being added to each passing day. There are also some problems related to the use of AI technologies in health service delivery. In this respect, it is aimed to understand the use of digital health, AI and big data technologies in healthcare services and to analyze the developments and trends in the sector.

Design/methodology/approach: In this research, 191 studies published between 2016 and 2023 on digital health, AI and its sub-branches and big data were analyzed using VOSviewer and Rstudio Bibliometrix programs for bibliometric analysis. We summarized the type, year, countries, journals and categories of publications; matched the most cited publications and authors; explored scientific collaborative relationships between authors and determined the evolution of research over the years through keyword analysis and factor analysis of publications. The content of the publications is briefly summarized.

Findings: The data obtained showed that significant progress has been made in studies on the use of AI technologies and big data in the field of health, but research in the field is still ongoing and has not yet reached saturation.

Research limitations/implications: Although the bibliometric analysis study conducted has comprehensively covered the literature, a single database has been utilized and limited to some keywords in order to reach the most appropriate publications on the subject.

Practical implications: The analysis has addressed important issues regarding the use of developing digital technologies in health services and is thought to form a basis for future researchers.

Originality/value: In today's world, where significant developments are taking place in the field of health, it is necessary to closely follow the development of digital technologies in the health sector and analyze the current situation in order to guide both stakeholders and those who will work in this field.

Purpose: The objective of this article is to make an exploratory study about European public administrations (public administration, public agencies, public law entities, entities dependent on the public administration and public universities) in relation to workplace health promotion interventions. The sample was extracted from the ESENER-3 (Third European Survey of Enterprises on New and Emerging Risks) (EU-OSHA, 2019) and consists of 7,981 public entities from the EU-27 countries. Four WHPI have been studied: healthy nutrition interventions, sports activities after working hours, back exercises at work and prevention of addictions.

Design/methodology/approach: This is an exploratory study. The sample was extracted from the ESENER-3 (Third European Survey of Enterprises on New and Emerging Risks) (EU-OSHA, 2019) and consists of 7,981 public entities from the EU-27 Public Administration. In total, 45,420 establishments were interviewed.

Findings: Different patterns have been observed when implementing workplace health promotion interventions in the EU-27 public administration. The promotion of sports activities outside working hours is the one with the highest level of implementation in European public administration. On the other hand, the measure with the least implementation level is the promotion of healthy nutrition.

Research limitations/implications: The limitations of the study are that the studied items are nominal and comprise more than two categories, so it has not been possible to develop a correlation analysis.

Practical implications: The EU-27 public administrations can see which workplace health promotion interventions need to be improved.

Originality/value: Differences that may exist in the adopted workplace health promotion interventions by European public administrations have not yet been addressed in depth by the literature.

Purpose: The aim of this study is to investigate ways in which healthcare organisations can successfully maintain operational resilience within intricate and varied engagements during digital transformation processes.

Design/methodology/approach: The present research applied cultural-historical activity theory as the theoretical framework and the ethnographic account as an approach and strategy to interpret and understand the operational resilience of digital transformation tools in daily practices. Fieldwork was based on the research technique of shadowing, whereby the researcher closely accompanied the participants to record their conduct, activities and exchanges.

Findings: Research results propose that effective operational resilience management in the implementation of digital transformation projects is based on (1) identifying and interpreting internal contradictions in everyday interactions as opportunities for capability developments; (2) navigating through multiple sites in fast and improvised movements, which derives in distributed and emergent practices; (3) interplaying between dyadic interactions and networked dependencies, which is achieved through the articulation of varied interests and (4) implementing novel intermediary tools, roles and regulations that facilitate the reduction of disturbances.

Originality/value: The propositions of the present study indicate that the management of operational resilience extends beyond conventional adaptive and socio-technical models in healthcare services. The study emphasises the significance of expressing and converting differing interests into mutual advantages. It additionally demonstrates the intricacy of this obstacle, as it entails navigating through uncertain information, concealed interpretations and conflicting interests.

Purpose: The 2020-2021 COVID-19 pandemic spurred change across multiple healthcare industries. This study explores how managing vaccination data in the United States of America required cooperation among many different organizations necessitated by an emergency response. We studied how individual states interacted with the federal government to address the need for vaccination-related information during the pandemic.

Design/methodology/approach: In total, 11 interviews were conducted with individuals responsible for collecting vaccination data and reporting it to the US Federal Government. Seven of those individuals were directors of USA jurisdictional Immunization Information Systems (IIS). Archival data were also combined with the interview responses to inform the analysis and development of guidelines.

Findings: States across the USA had different ways of tracking and storing immunization data that was heavily influenced by state-level and federal legislation. The lack of a universal patient identifier made cross-state patient identification difficult. Federal requirements for reporting dictated much of how the different state-level entities collected, stored and reported data.

Practical implications: This study highlights the importance of data interoperability and data sharing by exploring how a loosely coupled set of entities without direct top-down control or a profit motive can govern data effectively. Our analysis provides greater clarity about the interactions between different stakeholders in a complex system.

Originality/value: This study presents primary interviews of 11 individuals, each responsible for tracking and reporting immunization information. Analysis of the data expands existing research on IIS on data sharing, system interoperability and dynamic pandemic responses.

Purpose: Network configurations have been proposed as an efficient form of organisation and a promising area of research; however, a lack of conceptual clarity can be noted. The purpose of this review is to allow for a broad appreciation of network configurations and provide guidance for future studies of the concept.

Design/methodology/approach: A systematic literature review was conducted based on the PRISMA method; Scopus, Web of Science, PubMed and the Cochrane Library were searched for conference proceedings and journal articles describing organisational networks to integrate resources aimed at care delivery. Around 80 articles were included in the final review and analysed thematically and by use of bibliographic coupling.

Findings: The last decades have seen an increase in the frequency of articles describing networks for healthcare delivery. The most common contexts are care for multiple and/or long-term conditions. Three clusters of articles were found, corresponding to different conceptualisations of networks in healthcare: efficiency-enhancing cooperation, efficiency-enhancing integration and involvement for cocreation.

Research limitations/implications: To increase conceptual clarity and allow the research on network configurations in healthcare to produce meta-learnings and guidance to practice, scholars are advised to provide ample descriptions of studied networks and relate them to established network classifications.

Originality/value: The current review has only included articles including networks as a key concept, which provides a focused overview of the use of network configurations but limits the insights into similar approaches not described explicitly as networks.

Purpose: This study aims to evaluate healthcare practitioners' perceptions of electronic health record (EHR) systems and their effectiveness in supporting clinical decision-making in Tanzanian Primary Healthcare (PHC) facilities.

Design/methodology/approach: A mixed-methods approach was employed, combining quantitative data from structured questionnaires and qualitative insights from open-ended responses. The study was conducted in the Dodoma region of Tanzania, focusing on a diverse representation of PHC facilities, including district hospitals, health centres and dispensaries. Data were analysed using multiple linear regression for quantitative data, and thematic analysis was applied to qualitative responses.

Findings: The results revealed that while EHR systems are widely used in Tanzanian PHC facilities, their impact on clinical decision-making remains limited. Only a moderate portion of practitioners perceived EHR systems as effective in decision support, and frequent system use was negatively correlated with user satisfaction. Challenges such as inadequate training and support, system crashes, slow performance and poor usability and integration into clinical workflows were significant barriers to effectively utilising EHR systems.

Originality/value: This study contributes to the limited literature on EHR system implementation in low-resource settings, specifically Tanzania, by focusing on decision-support features within EHR systems. The findings offer valuable insights for healthcare policymakers, system designers and practitioners to optimise EHR implementation and improve healthcare outcomes in resource-constrained environments.

Purpose: The appropriate physical layout of hospital services can help resolve management problems by streamlining the work of medical teams, improving the flow of patients between specific areas and the medical support environment. Nevertheless, the academic literature lacks structured research into how the physical layout of hospitals might be improved. Our study aims to fill this research gap, providing information for researchers and professionals who intend to guide the hospital facility layout planning (HFLP) from the steps and prescribed approaches found in the literature.

Design/methodology/approach: This study analyzes the current literature status and concerning approaches that support HFLP and identifies their strengths and weaknesses. The literature was classified using the following criteria: approaches for layout generation, approaches for layout evaluation and healthcare facility layout outcomes.

Findings: The hospital facility layout outcomes achieved for each phase served as a basis for identifying a list of strengths and weaknesses for the hospital layout facility generation and evaluation approaches. Readers can refer to this paper to identify the approach that best fits the desired goal and the HFLP step.

Practical implications: This is a contribution to current studies into HFLP, and it provides guidelines for selecting the approach to be utilized based on the desired outcome.

Originality/value: The paper describes how to conduct an HFLP and lists the strengths and weaknesses of each approach. The research may be used as a strategy for determining which tool is most suited based on the practitioner's target purpose.

Purpose: The role of public health organizations during the COVID-19 pandemic was crucial. These groups acted to slow the spread of infection through the implementation of initiatives, policies, research and more. However, the rapidly changing and uncertain climate of the pandemic resulted in suboptimal processes and decision-making within these organizations. These already complex organizations and networks of people became even more nuanced. Thus, organizational decision-making processes must be improved upon based on previous experiences and lessons learnt. With minimal peer-reviewed literature available, resources for effective organizational decision-making in these organizations are scarce. This served as the impetus for this review.

Design/methodology/approach: To conduct this literature review, both peer-reviewed and grey literature were incorporated to better understand effective organizational decision-making practices for public health organizations. Recommendations found in the literature review were identified, coded and themed to provide a novel decision-making framework to be used by public health executives.

Findings: Nine key themes of effective organizational decision-making were identified, including utilize decision-making tools, define the problem and acknowledge an imminent decision, establish decision rights, outline a clear escalation path, create a supportive organizational culture, set decision objectives and goals, and evaluate decision alternatives. These findings in conjunction with existing decision-making models were used to create a seven-step effective decision-making framework for public health organizations.

Originality/value: The review and analysis of effective organizational decision-making practices is instructive. Public health executives and decision-makers should incorporate the themes identified and employ the proposed decision-making framework to encourage improved decision-making practices.