Resource dependency and strategy in healthcare organizations during a time of scarce resources: evidence from the metropolitan area of cologne

Assessing Similarity in Production from Organizational and Department-Level Financial Accounting Statements

Hospitals are complex organizations which provide a wide array of health care services. This complexity creates challenges for stakeholders who wish to use financial accounting statements to make inferences about the productive choices made by a hospital's management. These challenges are especially salient when using data reported at the department (or cost center) level, or where the provision of care is coordinated across hospital departments. This study applies information entropy-based comparability analysis techniques to overall and department-level hospital financial data to identify hospital peer groups. Hospitals peer groups not only exhibit similar financial positions overall, but are also likely to exhibit operational similarities at the department level. Data for this analysis are drawn from the financial statements of Washington State critical access hospitals in the fiscal year 2019. The medical laboratory and pharmacy departments were specifically assessed because their services impact or support virtually every other revenue-producing department in the hospital. Findings suggest both departments significantly impact the formation of peer groups, with the pharmacy department contributing the largest impact.

Project management in healthcare: An examination of organizational competence

This research aims to identify the factors that influence the organizational competence (OC) of hospitals in effectively managing projects. It follows a quantitative approach, analyzing data collected from three Portuguese hospitals (51 respondents) using R software. An organizational competence score (OCS) was calculated based on standardized values across five different competence areas. The results indicate significant associations between the competence areas and project categories, organizational alignment, governance, management, people's competence, and resources. Furthermore, the study explores the relationships between the competence areas and quantitative variables such as the number of project team members and former experience in projects. The OCS is also examined regarding project categories, region, experience in projects, and number of project members. The findings provide insights into the features that impact the OC of hospitals in PM, highlight the importance of organizational alignment, effective governance, competent management, skilled personnel, and adequate resources in enhancing PM capabilities. However, the wide confidence interval for the Odds Ratio indicates a high degree of uncertainty in the effect size estimates, suggesting the need for larger sample sizes and more robust models in future research to obtain more precise estimates.

Dynamic adaptive decision support for strategic decision-making in healthcare organizations

PURPOSE

The main objective of this study was to design a dynamic adaptive decision support model for healthcare organizations facing deep uncertainties by considering promising dynamic adaptive approaches. The main argument for this is that healthcare organizations have to make strategic decisions under deep uncertainty, but lack an approach to deal with this.

DESIGN/METHODOLOGY/APPROACH

A Dynamic Adaptive Decision Support model (DADS) is designed using the Design Science Research methodology. The evaluation of an initial model leads, through two case studies on ongoing and strategic decision-making, to the final design of this needed model for healthcare organizations.

FINDINGS

The research reveals the relevance of the designed dynamic and adaptive tool to support strategic decision-making for healthcare organizations. The final design of DADS innovates Decision Making under Deep Uncertainty (DMDU) approaches in an organizational context for ongoing and strategic decision-making.

ORIGINALITY/VALUE

The designed model applies the Dynamic Adaptive Policy Pathways approach in an organizational context and more specifically in health care organizations. It further integrates Corporate Real Estate Management knowledge and experience to develop a most needed tool for decision-makers in healthcare. This is the first DADS designed for an organization facing deep uncertainties in a rapidly changing healthcare environment and dealing with ongoing and strategic decision-making.

Before and during COVID-19: the roles of transformational leadership, organizational culture and work-life balance in healthcare

PURPOSE

This research aims to investigate the role of transformational leadership and organizational culture - encompassing Clan, Adhocracy, Hierarchical and Market Cultures - in the context of work-life balance for healthcare workers. It aims to present a comparison of observations made pre and mid-pandemic.

DESIGN/METHODOLOGY/APPROACH

A structured questionnaire was utilized to collect data from a varied sample of 355 employees (258 before and 97 during the pandemic) representing multiple sectors and positions within a hospital. The interpretation of the data was accomplished using Partial Least Squares Structural Equation Modeling (PLS-SEM).

FINDINGS

Findings reveal that prior to the pandemic, transformational leadership significantly influenced all forms of organizational culture perceptions, with a strong influence on Clan Culture. Clan Culture displayed a consistent positive correlation with WLB both before and during the pandemic. During the pandemic, Market Culture exhibited a negative effect on WLB and Adhocracy Culture demonstrated a positive effect, impacts which were absent before the pandemic. Transformational leadership had a positive impact on WLB before the pandemic, but no discernible effect during the pandemic was observed.

ORIGINALITY/VALUE

The results indicate that the dynamics between transformational leadership, organizational culture and work-life balance are susceptible to alterations in the face of external crisis events. This study offers a unique exploration of these dynamics in the healthcare sector during the ongoing global pandemic.

The Coproduction of Health Framework: Seeking Instructive Management Models and Theories

At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

Analysis of Centralized Efficiency Improvement Practices in Australian Public Health Systems

Aim

Analysis of centralized efficiency improvement practices in Australian public health systems.

Introduction

Public health systems seek to maximize outcomes generated for resources used through efficiency improvement (EI) in response to funding and demand pressures. Despite this focus, evidence for EI approaches at the whole-of-system level is lacking in the literature. There is an urgent need for evidence-based approaches to centralized EI to address these pressures. This study aims to address this gap by answering the research question "How is EI conceptualized and managed by central public health system management entities in Australia?".

Material and Methods

Document analysis was selected due to its suitability for systematically searching and appraising health system documentation, with this study following Altheide's approach focusing on whole-of-system strategic plan and management framework documents originating from Australian public health organizations.

Results

Conceptualization of efficiency varied substantially with no consistent definition identified, however common attributes included resource use, management, service and delivery. Forty-two of 43 documents contained approaches associated with improving efficiency at the whole of system level.

Discussion

While no comprehensive framework for centralized EI was evident, we identified nine core approaches which together characterize centralized EI. Together these approaches represent a comprehensive evidence-based approach to EI at the whole of system level.

Conclusion

The approaches to whole-of-system EI identified in this study are likely to be highly transferable across health systems internationally with approaches including strategic priority setting, incentivization, performance support, use of EI evidence, digital enablement and workforce capability development.

COVID-19 crisis management of German ICU clinicians in leadership - a metaphor analysis

The COVID-19 pandemic coincided with an already long-standing crisis in health systems around the world characterized by economic pressure and increasing staff shortage. "Crisis" became a global metaphor to convey collective experiences of the COVID-19 threat. Little is known on how crisis metaphors influence thought and speech on crisis management and the challenging staff situation of intensive care unit (ICU) clinicians in leadership positions and how they act. Therefore, we were interested in (1) which metaphorical concepts ICU clinicians in leadership use to express experiences and strategies in dealing with coinciding crises, (2) how these change over time, and (3) how metaphors in speech reveal self-images of crisis management. We conducted a systematic metaphor analysis focusing on data from three participants of a qualitative interview study with twenty-four healthcare professionals in ICUs in Germany. The participants were interviewed at two time points between April 2020 and March 2021. We identified and reconstructed metaphorical concepts of three interviewees (ICU clinicians in leadership) with regard to the pandemic management, and developed a typology based on the dimensions of mood, modus operandi, location, and scope. The typology consists of eight self-images (protagonists) for the crisis management of ICU clinicians in leadership, such as the figure of the soldier ("to unite everyone behind this flag"), the distributor ("sometimes it is a crazy patchwork [wahnsinniges Gestückel]") or the critic ("we are the fool for everything"). They embody different qualities of a leader and refer to intra- and inter-role conflicts within multiple crisis conditions. Metaphor analysis reveals different self-images of ICU leadership clinicians in relation to crisis management. This illustrates that thinking and perceptions of crisis management may strongly differ between and within leaders and may change over the course of crises. Our findings highlight the need both to improve knowledge on challenges associated with leadership in crises and preparedness, and to support clinicians in their leadership by recognizing and addressing differences and changes in leaders' self-image.

Coping with uncertainties: challenges for decision makers in healthcare

Purpose

Health care organizations’ decision-making for the future relies on anticipating changes. Reliable predictions are becoming increasingly difficult, creating anxiety and requires long-term adaptive planning to cope with unforeseen circumstances. The purpose of this study is to gain insights into the awareness of uncertainties that decision makers in healthcare have, particularly when making long-term investments.

Design/methodology/approach

This is a qualitative study with an explorative purpose. The data were collected through semi-structured and open interviews with board members of long-term care organizations.

Findings

The study revealed that respondents are most uncertain about the future financing of their real estate system. Another concern revealed is about the shortage of care professionals combined with an increasing demand for future care. Despite most decision makers do recognize uncertainties during the decision-making process, decision makers hardly address the level of these uncertainties. Although this study did find that some decision makers are aware of deep uncertainties, in terms of “unknown unknowns,” they have no actual approaches for dealing with such situations.

Originality/value

Decision makers at healthcare organizations are uncertain as to their ability to anticipate technological, economic, social and political developments, as well as predict future healthcare system transformations. Some decision makers are aware of deep uncertainties, in terms of “unknown unknowns” and “unidentified unknowns,” but they lack an actual approach to deal with such situations. This study examines how strategies adapt to unforeseen developments or how to deal with deep uncertainties in healthcare as complex adaptive system.

The Organic Turn: Coping With Pandemic and Non-pandemic Challenges by Integrating Evidence-, Theory-, Experience-, and Context-Based Knowledge in Advising Health Policy

The COVID-19 pandemic has posed an extraordinary challenge for public health and health policy. Questions have arisen concerning the main strategies to cope with this situation and the lessons to be learned from the pandemic. This conceptual paper aims to clarify these questions via sociological concepts. Regarding coping strategies used during the pandemic, there is a strong tendency for health policymakers to rely on expert knowledge rather than on evidence-based knowledge. This has caused the evidence-based healthcare community to respond to urgent demands for advice by rapidly processing new knowledge. Nonetheless, health policymakers still mainly rely on experts in making policy decisions. Our sociological analysis of this situation identified three lessons for coping with pandemic and non-pandemic health challenges: (1) the phenomenon of accelerating knowledge processing could be interpreted from the organizational innovation perspective as a shift from traditional mechanistic knowledge processing to more organic forms of knowledge processing. This can be described as an "organic turn." (2) The return of experts is part of this organic turn and shows that experts provide both evidence-based knowledge as well as theoretical, experiential, and contextual knowledge. (3) Experts can use theory to expeditiously provide advice at times when there is limited evidence available and to provide complexity-reducing orientation for decisionmakers at times where knowledge production leads to an overload of knowledge; thus, evidence-based knowledge should be complemented by theory-based knowledge in a structured two-way interaction to obtain the most comprehensive and valid recommendations for health policy.