Lean Management and Hospital Performance: Adoption vs. Implementation

Performance measurement of Brazilian federal university hospitals: an overview of the public health care services through principal component analysis

PURPOSE

This paper aimed to contextualize the process of public hospital providing services, based on the measurement of the performance of Federal University Hospitals (HUFs) of Brazil, using the technique of multivariate statistics of principal component analysis.

DESIGN/METHODOLOGY/APPROACH

This research presented a descriptive and quantitative character, as well as exploratory purpose and followed the inductive logic, being empirically structured in two stages, that is, the application of principal component analysis (PCA) in four healthcare performance dimensions; subsequently, the full reapplication of principal component analysis in the most highly correlated variables, in module, with the first three main components (PC1, PC2 and PC3).

FINDINGS

From the principal component analysis, considering mainly component I, with twice the explanatory power of the second (PC2) and third components (PC3), it was possible to evidence the efficient or inefficient behavior of the HUFs evaluated through the production of medical residency, by specialty area. Finally, it was observed that the formation of two groups composed of seven and eight hospitals, that is, Groups II and IV shows that these groups reflect similarities with respect to the scores and importance of the variables for both hospitals' groups.

RESEARCH LIMITATIONS/IMPLICATIONS

Among the main limitations it was observed that there was incomplete data for some HUFs, which made it impossible to search for information to explain and better contextualize certain aspects. More specifically, a limited number of hospitals with complete information were dealt with for 60% of SIMEC/REHUF performance indicators.

PRACTICAL IMPLICATIONS

The use of PCA multivariate technique was of great contribution to the contextualization of the performance and productivity of homogeneous and autonomous units represented by the hospitals. It was possible to generate a large quantity of information in order to contribute with assumptions to complement the decision-making processes in these organizations.

SOCIAL IMPLICATIONS

Development of public policies with emphasis on hospitals linked to teaching centers represented by university hospitals. This also involved the projection of improvements in the reach of the efficiency of the services of assistance to the public health, from the qualified formation of professionals, both to academy, as to clinical practice.

ORIGINALITY/VALUE

The originality of this paper for the scenarios of the Brazilian public health sector and academic area involved the application of a consolidated performance analysis technique, that is, PCA, obtaining a rich work in relation to the extensive exploitation of techniques to support decision-making processes. In addition, the sequence and the way in which the content, formed by object of study and techniques, has been organized, generates a particular scenario for the measurement of performance in hospital organizations.

Lean Performance Indicators and Facilitators of Outcomes in U.S. Public Hospitals

GOAL

This study investigated the association between Lean and performance outcomes in U.S. public hospitals. Public hospitals face substantial pressure to deliver high-quality care with limited resources. Lean-based management systems can provide these hospitals with alternative approaches to improve efficiency and effectiveness. Prior research shows that Lean can have positive impacts in hospitals ranging in ownership type, but more study is needed, specifically in publicly owned hospitals.

METHODS

We performed multivariable regressions using data from the 2017 National Survey of Lean/Transformational Performance Improvement. The data were linked to publicly available hospital performance data from the Agency for Healthcare Research and Quality and the Centers for Medicare & Medicaid Services. We examined 11 outcomes measuring financial performance, quality of care, and patient experience and their associations with Lean adoption. We also explored potential drivers of positive outcomes by examining Lean implementation in each hospital, measured as the number of units using Lean tools and practices; leader commitment to Lean principles; Lean training and education among physicians, nurses, and managers; and use of a daily management system among C-suite leaders and managers.

PRINCIPAL FINDINGS

Lean adoption and implementation were associated with improved performance in U.S. public hospitals. Compared with hospitals that did not adopt Lean, those that did had significantly lower adjusted inpatient expenses per discharge and higher-than-average national scores on the appropriate use of medical imaging and timeliness of care. The study results also showed marginally significant improvements in patient experience and hospital earnings before interest, taxes, depreciation, and amortization margins. Focusing on these select outcomes, we found that drivers of such improvements involved the extent of Lean implementation, as reflected by leadership commitment, daily management, and training/education while controlling for the number of years using Lean.

PRACTICAL APPLICATIONS

Lean is a method of continuous improvement centered around a culture of providing high-value care for patients. Our findings provide insight into the potential benefits of Lean in U.S. public hospitals. Notably, they suggest that leader buy-in is key to success. When executives and managers support Lean initiatives and provide proper training for the workforce, improved financial and operational performance can result. This commitment, starting with upper management, may also play a broader role in the effort to reform healthcare while having a positive impact on patient care in U.S. public hospitals.

The Better Care Plan: a blueprint for improving America's healthcare system

The United States falls far short of its potential for delivering care that is effective, efficient, safe, timely, patient-centered, and equitable. We put forward the Better Care Plan, an overarching blueprint to address the flaws in our current system. The plan calls for continuously improving care, moving all payers to risk-adjusted prospective payment, and creating national entities for collecting, analyzing, and reporting patient safety and quality-of-care outcomes data. A number of recommendations are made to achieve these goals.

Achieving transformation to lean management systems in health care

OBJECTIVE

To understand what factors and organizational dynamics enable Lean transformation of health care organizations.

DATA SOURCES

Primary data were collected through two waves of interviews in 2016-2017 with leaders and staff at seven veterans affairs medical centers participating in Lean enterprise transformation.

STUDY DESIGN

Using an observational study design, for each site we coded and rated seven potential enablers of transformation. The outcome measure was the extent of Lean transformation, constructed by coding and rating 11 markers of depth and spread of transformation. Using multivalue coincidence analysis (CNA), we identified enablers that distinguished among sites having different levels of transformation. We identified representative quotes for the enablers.

DATA COLLECTION METHODS

We interviewed 121 executive leaders, middle managers, expert consultants, systems redesign staff, frontline supervisors, and staff.

PRINCIPAL FINDINGS

Two sites achieved high Lean transformation, three medium, and two low. Together leadership support and capability development were sufficient for the three-level Lean transformation outcomes with 100% consistency and 100% coverage. High scores on both corresponded to high Lean transformation; medium on either one corresponded to medium transformation; and low on both corresponded to low transformation. Additionally, low scores in communication and availability of data and very low scores in alignment characterized low-transformation sites. Sites with high leadership support also had a high veteran engagement.

CONCLUSIONS

This multisite study develops a novel measure of the extent of organization-wide Lean transformation and uses CNA to identify enablers linked to transformation. It provides insights into why and how some organizations are more successful at transformation than others. Findings support the applicability of the organization transformation model that guided the study and highlight the roles of executive leadership and capability development in the dynamics of transformation.

Transformational Performance Improvement: Why Is Progress so Slow?

In this chapter, we identify three distinct transformational performance improvement (TPI) approaches commonly used to redesign work processes in health care organizations. We describe the unique components or tools that each approach uses to improve the delivery of health services. We also summarize what is empirically known about the effectiveness of each TPI approach according to systematic reviews and recent studies published in the peer-reviewed literature. Based on examination of this research, we discuss what knowledge is still needed to strengthen the evidence for whole system transformation. This involves the use of conceptual frameworks to assess and guide implementation efforts, and facilitators and barriers to change as revealed in a recent evaluation of one major initiative, the Lean Enterprise Transformation (LET) at the Veterans Health Administration. The analysis suggests ways in which TPI facilitators can be developed and barriers reduced to improve the effectiveness and sustainability of quality initiatives. Finally, we discuss appropriate study designs to evaluate TPI interventions that may strengthen the evidence for their effectiveness in real world practice settings.

Managing Through a Pandemic: A Daily Management System for COVID-19 Response and Recovery

GOAL

This study explored the use of a Lean daily management system (DMS) for COVID-19 response and recovery in U.S. hospitals and health systems. Originally developed in manufacturing, Lean is an evidence-based approach to quality and process improvement in healthcare. Although Lean has been studied in individual hospital units and outpatient practices, it has not been examined as a whole system response to crisis events.

METHODS

We conducted qualitative interviews with 46 executive leaders, clinical leaders, and frontline staff in four hospitals and health systems across the United States. We developed a semistructured interview guide to understand DMS implementation in these care delivery organizations. As interviews took place 6-8 months following the onset of the pandemic, a subset of our interview questions centered on DMS use to meet the demands of COVID-19. Based on a deductive approach to qualitative analysis, we identified clusters of themes that described how DMS facilitated rapid system response to the public health emergency.

PRINCIPAL FINDINGS

There were many important ways in which U.S. hospitals and health systems leveraged their DMS to address COVID-19 challenges. These included the use of tiered huddles to facilitate rapid communication, the creation of standard work for redeployed staff, and structured problem-solving to prioritize new areas for improvement. We also discovered ways that the pandemic itself affected DMS implementation in all organizations. COVID-19 universally created greater DMS visibility by opening lines of communication among leadership, strengthening measurement and accountability, and empowering staff to develop solutions at the front lines. Many lessons learned using DMS for crisis management will carry forward into COVID-19 recovery efforts. Lessons include expanding telehealth, reactivating incident command systems as needed, and efficiently coordinating resources amid potential future shortages.

PRACTICAL APPLICATIONS

Overall, the Lean DMS functioned as a robust property that enabled quick organizational response to unpredictable events. Our findings on the use of DMS are consistent with organizational resilience that emphasizes collective sense-making and awareness of incident status, team decision-making, and frequent interaction and coordination. These features of resilience are supported by DMS practices such as tiered huddles for rapid information dissemination and alignment across organizational hierarchies. When used in conjunction with plan-do-study-act methodology, huddles provide teams with enhanced feedback that strengthens their ability to make changes as needed. Moreover, gaps between work-as-imagined (how work should be done) and work-as-done (how work is actually done) may be exacerbated in the initial chaos of emergency events but can be minimized through the development of standard work protocols. As a facilitator of resilience, the Lean DMS may be used in a variety of challenging situations to ensure high standards of care.

A Case Study of a Whole System Approach to Improvement in an Acute Hospital Setting

Changes in healthcare tend to be project-based with whole system change, which acknowledges the interconnectedness of socio-technical factors, not the norm. This paper attempts to address the question of whole system change posed by the special issue and brings together other research presented in this special issue. A case study approach was adopted to understand the deployment of a whole system change in the acute hospital setting along four dimensions of a socio-technical systems framework: culture, system functioning, action, and sense-making. The case study demonstrates evidence of whole system improvement. The approach to change was co-designed by staff and management, projects involving staff from all specialities and levels of seniority were linked to each other and to the strategic objectives of the organisation, and learnings from first-generation projects have been passed to second and third-generation process improvements. The socio-technical systems framework was used retrospectively to assess the system change but could also be used prospectively to help healthcare organisations develop approaches to whole system improvement.

Evaluation of an Access-Risk-Knowledge (ARK) Platform for Governance of Risk and Change in Complex Socio-Technical Systems

Three key challenges to a whole-system approach to process improvement in health systems are the complexity of socio-technical activity, the capacity to change purposefully, and the consequent capacity to proactively manage and govern the system. The literature on healthcare improvement demonstrates the persistence of these problems. In this project, the Access-Risk-Knowledge (ARK) Platform, which supports the implementation of improvement projects, was deployed across three healthcare organisations to address risk management for the prevention and control of healthcare-associated infections (HCAIs). In each organisation, quality and safety experts initiated an ARK project and participated in a follow-up survey and focus group. The platform was then evaluated against a set of fifteen needs related to complex system transformation. While the results highlighted concerns about the platform's usability, feedback was generally positive regarding its effectiveness and potential value in supporting HCAI risk management. The ARK Platform addresses the majority of identified needs for system transformation; other needs were validated in the trial or are undergoing development. This trial provided a starting point for a knowledge-based solution to enhance organisational governance and develop shared knowledge through a Community of Practice that will contribute to sustaining and generalising that change.

Market viability: a neglected concept in implementation science

This debate paper asserts that implementation science needs to incorporate a key concept from entrepreneurship—market demand—and demonstrates how assessing an innovation’s potential market viability might advance the pace and success of innovation adoption and sustainment. We describe key concepts, language distinctions, and questions that entrepreneurs pose to implementation scientists—many of which implementation scientists appear ill-equipped to answer. The paper concludes with recommendations about how concepts from entrepreneurship, notably market viability assessment, can enhance the translation of research discoveries into real-world adoption, sustained use, and population health benefits. The paper further proposes activities that can advance implementation science’s capacity to draw from the field of entrepreneurship, along with the data foundations required to assess and cultivate market demand.

Breast Cancer Navigation: Using Physician and Patient Surveys to Explore Nurse Navigator Program Experiences

BACKGROUND

Patient navigators can improve patient experiences of care and outcomes, but little is known about how navigation programs may affect physician workflows and experience.

OBJECTIVES

This study aimed to understand patient and physician experiences with a breast cancer navigation (BCN) program using Lean design principles.

METHODS

Surveys were developed and distributed from 2019 to 2020 to 255 patients diagnosed with breast cancer and 128 physicians in primary care and cancer-related specialties. Descriptive analyses were conducted.

FINDINGS

Eighty-three physicians and 94 patients completed the survey. A large majority of physicians reported that the BCN program "made their day easier" and improved flow, care coordination, and patient experience. A large majority of patients reported receiving the right level of support during diagnosis communication and high satisfaction in other domains measured.