Leaders' perspectives on learning health systems: a qualitative study

Learning together for better health using an evidence-based Learning Health System framework: a case study in stroke

BACKGROUND

In the context of expanding digital health tools, the health system is ready for Learning Health System (LHS) models. These models, with proper governance and stakeholder engagement, enable the integration of digital infrastructure to provide feedback to all relevant parties including clinicians and consumers on performance against best practice standards, as well as fostering innovation and aligning healthcare with patient needs. The LHS literature primarily includes opinion or consensus-based frameworks and lacks validation or evidence of benefit. Our aim was to outline a rigorously codesigned, evidence-based LHS framework and present a national case study of an LHS-aligned national stroke program that has delivered clinical benefit.

MAIN TEXT

Current core components of a LHS involve capturing evidence from communities and stakeholders (quadrant 1), integrating evidence from research findings (quadrant 2), leveraging evidence from data and practice (quadrant 3), and generating evidence from implementation (quadrant 4) for iterative system-level improvement. The Australian Stroke program was selected as the case study as it provides an exemplar of how an iterative LHS works in practice at a national level encompassing and integrating evidence from all four LHS quadrants. Using this case study, we demonstrate how to apply evidence-based processes to healthcare improvement and embed real-world research for optimising healthcare improvement. We emphasize the transition from research as an endpoint, to research as an enabler and a solution for impact in healthcare improvement.

CONCLUSIONS

The Australian Stroke program has nationally improved stroke care since 2007, showcasing the value of integrated LHS-aligned approaches for tangible impact on outcomes. This LHS case study is a practical example for other health conditions and settings to follow suit.

Organization of care of infants with congenital diaphragmatic hernia-Building a high-functioning CDH program

Infants born with congenital diaphragmatic hernia have high mortality and morbidity and require coordinated multidisciplinary care for optimal outcomes. Over the past several decades numerous articles have been published on the technical aspects of the care of these patients demonstrating both the variation in management across institutions as well as the desirability and need for standardization of care. Unfortunately, none have focused on the organization of care for CDH patients encompassing the range from early prenatal diagnosis to long-term postnatal care. However, to achieve optimal care and optimal outcomes, it is important to not only have excellent technical surgical and medical care but also to have an organized, systematic, and purposefully designed program for the delivery of healthcare to infants with this condition. In this article, based on our experience and drawing on general principles of building clinical programs, we describe the important elements of an ideal CDH program.

The value of maternity care in Queensland, 2012-18, based on an analysis of administrative data: a retrospective observational study

OBJECTIVE

To quantify the value of maternity health care - the relationship of outcomes to costs - in Queensland during 2012-18.

STUDY DESIGN

Retrospective observational study; analysis of Queensland Perinatal Data Collection data linked with the Queensland Health Admitted Patient, Non-Admitted Patient, and Emergency Data Collections, and with the Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) databases.

SETTING, PARTICIPANTS

All births in Queensland during 1 July 2012 - 30 June 2018.

MAIN OUTCOME MEASURES

Maternity care costs per birth (reported in 2021-22 Australian dollars), both overall and by funder type (public hospital funders, MBS, PBS, private health insurers, out-of-pocket costs); value of care, defined as total cost per positive birth outcome (composite measure).

RESULTS

The mean cost per birth (all funders) increased from $20 471 (standard deviation [SD], $17 513) during the second half of 2012 to $30 000 (SD, $22 323) during the first half of 2018; the annual total costs for all births increased from $1.31 billion to $1.84 billion, despite a slight decline in the total number of births. In a mixed effects linear analysis adjusted for demographic, clinical, and birth characteristics, the mean total cost per birth in the second half of 2018 was $9493 higher (99.9% confidence interval, $8930-10 056) than during the first half of 2012. The proportion of births that did not satisfy our criteria for a positive birth outcome increased from 27.1% (8404 births) during the second half of 2012 to 30.5% (9041 births) during the first half of 2018.

CONCLUSION

The costs of maternity care have increased in Queensland, and many adverse birth outcomes have become more frequent. Broad clinical collaboration, effective prevention and treatment strategies, as well as maternal health services focused on all dimensions of value, are needed to ensure the quality and viability of maternity care in Australia.

Unlocking big data to understand health services usage and government funding during pregnancy and early childhood, evidence in Australia

BACKGROUND

Maternity care is a high-volume and high-cost area of health care, which entails various types of service use throughout the course of the pregnancy. Thus, the aim of this study was to explore the most common reasons and related costs of health services used by women and babies from pregnancy to 12-month postbirth.

METHODS

We used linked administrative data from one state of Australia, which contained all births in Queensland between 01/07/2017 and 30/06/2018. Descriptive analyses were used to identify the 10 most frequent reasons and related costs for accessing inpatient, outpatient, emergency department, and Medicare services. These are reported separately for women and babies in different periods.

RESULTS

We included 58,394 births in our data set. The results have highlighted that there was relatively uniform use of inpatient, outpatient, and Medicare services by women and babies, with the 10 most common services accounting for more than half of the total services accessed. However, the emergency department service use was more diverse. Medicare services accounted for the greatest volume (79.21%) of service events but only 10.21% of the overall funding, compared with inpatient services, which accounted for less volume (3.62%) but the highest amount of overall funding (75.19%).

CONCLUSION

Study findings provide empirical evidence about the full spectrum of services used by birthing families and their babies, and could assist health providers and managers to understand the services women and infants actually access during pregnancy, birth, and postbirth.

A Scoping Review on Learning Health Networks Available in Pediatric Surgical Specialties

BACKGROUND

Learning health networks (LHN) are consortia of institutions that collaborate and embrace the elements of the learning health system (LHS), including quality improvement, education, research, and stakeholder involvement. Their ultimate goal is rapid information dissemination in clinical care. Pediatric surgical specialties perform unique yet high-impact procedures that could benefit from LHN, thereby improving surgical outcomes and care through LHS approaches. Consequently, health system leaders should be aware of LHN and their importance in enhancing surgical care and improving outcomes. This scoping review aims to map and characterize the existing LHN applied in pediatric surgical specialties.

METHODS

A systematic literature search was performed on Medline, EMBASE, and Scopus up to June 2022, with an update search conducted in May 2023. Additionally, Google Scholar, ProQuest and inquiry from topic experts were used for cross-referencing relevant review articles to identify grey literature. This scoping review was conducted and reported according to the PRISMA-scoping review extension.

RESULTS

A total of 56 publications for 19 LHN were identified and included in this scoping review. Out of 19 identified LHN in pediatric surgical specialties, 18 were organized in North America. Eight of the networks are related to pediatric general surgery and another eight were related to pediatric transplantation. The 16 out of 19 LHN were initiated after 2001. To date, only eight of the LHNs generated reports of comparative improved outcomes.

CONCLUSION

This scoping review provides an overview of the available LHNs in pediatric surgical specialties. Over the past decade, several pediatric surgical specialties have embraced the principles of learning health systems, forming inter-institutional collaborations that utilize information technology to generate big data on patient-level clinical information, engage in quality improvement cycles, adopt evidence-based practices, and actively involve patients and stakeholders.

LEVEL OF EVIDENCE

IV.

Implementation strategies and outcome measures for advancing learning health systems: a mixed methods systematic review

BACKGROUND

Learning health systems strive to continuously integrate data and evidence into practice to improve patient outcomes and ensure value-based healthcare. While the LHS concept is gaining traction, the operationalization of LHSs is underexplored.

OBJECTIVE

To identify and synthesize the existing evidence on the implementation and evaluation of advancing learning health systems across international health care settings.

METHODS

A mixed methods systematic review was conducted. Six databases (CINAHL, Embase, Medline, PAIS, Scopus and Nursing at Allied Health Database) were searched up to July 2022 for terms related to learning health systems, implementation, and evaluation measures. Any study design, health care setting and population were considered for inclusion. No limitations were placed on language or date of publication. Two reviewers independently screened the titles, abstracts, and full texts of identified articles. Data were extracted and synthesized using a convergent integrated approach. Studies were critically appraised using relevant JBI critical appraisal checklists.

RESULTS

Thirty-five studies were included in the review. Most studies were conducted in the United States (n = 21) and published between 2019 and 2022 (n = 24). Digital data capture was the most common LHS characteristic reported across studies, while patient engagement, aligned governance and a culture of rapid learning and improvement were reported least often. We identified 33 unique strategies for implementing LHSs including: change record systems, conduct local consensus discussions and audit & provide feedback. A triangulation of quantitative and qualitative data revealed three integrated findings related to the implementation of LHSs: (1) The digital infrastructure of LHSs optimizes health service delivery; (2) LHSs have a positive impact on patient care and health outcomes; and (3) LHSs can influence health care providers and the health system.

CONCLUSION

This paper provides a comprehensive overview of the implementation of LHSs in various healthcare settings. While this review identified key implementation strategies, potential outcome measures, and components of functioning LHSs, further research is needed to better understand the impact of LHSs on patient, provider and population outcomes, and health system costs. Health systems researchers should continue to apply the LHS concept in practice, with a stronger focus on evaluation.

Design, implementation, and inferential issues associated with clinical trials that rely on data in electronic medical records: a narrative review

Real world evidence is now accepted by authorities charged with assessing the benefits and harms of new therapies. Clinical trials based on real world evidence are much less expensive than randomized clinical trials that do not rely on "real world evidence" such as contained in electronic health records (EHR). Consequently, we can expect an increase in the number of reports of these types of trials, which we identify here as 'EHR-sourced trials.' 'In this selected literature review, we discuss the various designs and the ethical issues they raise. EHR-sourced trials have the potential to improve/increase common data elements and other aspects of the EHR and related systems. Caution is advised, however, in drawing causal inferences about the relationships among EHR variables. Nevertheless, we anticipate that EHR-CTs will play a central role in answering research and regulatory questions.

Harnessing the Collective Expertise of Patients, Care Partners, Clinical Teams, and Researchers Through a Coproduction Learning Health System: A Case Study of the Dartmouth Health Promise Partnership

The coproduction learning health system (CLHS) model extends the definition of a learning health system to explicitly bring together patients and care partners, health care teams, administrators, and scientists to share the work of optimizing health outcomes, improving care value, and generating new knowledge. The CLHS model highlights a partnership for coproduction that is supported by data that can be used to support individual patient care, quality improvement, and research. We provide a case study that describes the application of this model to transform care within an oncology program at an academic medical center.

Thought Leader Perspectives on the Benefits, Barriers, and Enablers for Routinely Collected Electronic Health Data to Support Professional Development: Qualitative Study

BACKGROUND

Hospitals routinely collect large amounts of administrative data such as length of stay, 28-day readmissions, and hospital-acquired complications; yet, these data are underused for continuing professional development (CPD). First, these clinical indicators are rarely reviewed outside of existing quality and safety reporting. Second, many medical specialists view their CPD requirements as time-consuming, having minimal impact on practice change and improving patient outcomes. There is an opportunity to build new user interfaces based on these data, designed to support individual and group reflection. Data-informed reflective practice has the potential to generate new insights about performance, bridging the gap between CPD and clinical practice.

OBJECTIVE

This study aims to understand why routinely collected administrative data have not yet become widely used to support reflective practice and lifelong learning.

METHODS

We conducted semistructured interviews (N=19) with thought leaders from a range of backgrounds, including clinicians, surgeons, chief medical officers, information and communications technology professionals, informaticians, researchers, and leaders from related industries. Interviews were thematically analyzed by 2 independent coders.

RESULTS

Respondents identified visibility of outcomes, peer comparison, group reflective discussions, and practice change as potential benefits. The key barriers included legacy technology, distrust with data quality, privacy, data misinterpretation, and team culture. Respondents suggested recruiting local champions for co-design, presenting data for understanding rather than information, coaching by specialty group leaders, and timely reflection linked to CPD as enablers to successful implementation.

CONCLUSIONS

Overall, there was consensus among thought leaders, bringing together insights from diverse backgrounds and medical jurisdictions. We found that clinicians are interested in repurposing administrative data for professional development despite concerns with underlying data quality, privacy, legacy technology, and visual presentation. They prefer group reflection led by supportive specialty group leaders, rather than individual reflection. Our findings provide novel insights into the specific benefits, barriers, and benefits of potential reflective practice interfaces based on these data sets. They can inform the design of new models of in-hospital reflection linked to the annual CPD planning-recording-reflection cycle.

Value in maternal care: Using the Learning Health System to facilitate action

There is an increasing need to deliver high-value health care. Here, we discuss how value should be measured and implemented in maternity care through a Learning Health System. High-value maternity care will produce the highest level of benefit for women at a given cost. As pregnancy is not an illness state, and there is no cure or remission to be achieved, we believe that patient-reported outcomes should be an integral component of benefit quantification when measuring value. Furthermore, as care impacts more than just health outcomes-particularly in maternity care-there is also a need to consider patient-reported experiences as a part of defining the level of benefit. However, to move beyond traditional narrow and passive measurement of value, we need to partner with stakeholders to identify priorities for change, identify evidence for how to achieve this change, integrate measurement activities, and promote effective implementation, in a continuous, learning cycle-a Learning Health System. A robust Framework for implementing a Learning Health System has been developed, which could be applied in maternity care.

Adapting an Interdisciplinary Learning Health System Framework for Academic Health Centers: A Scoping Review

PURPOSE

Learning health systems (LHSs), defined as a systematic process for aligning science, informatics, and clinical practice to integrate providers, researchers, and patients as active participants in an evidence-based care continuum, can provide an ideal environment for academic health centers to rapidly adopt evidence-based guidelines and translate research into practice. However, few LHS frameworks are specifically adapted for academic health centers. The authors wanted to identify the definitions, components, and other features of LHSs to develop an interdisciplinary LHS framework for use within academic health centers.

METHOD

The authors conducted a scoping review of the literature to identify definitions, components, and other features of LHSs that are useful to academic health centers. In January 2021, they searched PubMed, Academic Search Premier, and Scopus databases and identified English-language, peer-reviewed articles pertaining to LHS, LHS frameworks, organization, components, and models. Since the phrase learning health system is relatively new terminology, they conducted a supplemental review with alternative phrases, including embedded research and coordinated or collaborative research network . They used the Knowledge to Action (KTA) Framework to integrate the generation and flow of research into practice.

RESULTS

The primary review retrieved 719 articles and the supplemental review retrieved 209; of these, 49 articles were retained to synthesize common definitions, components, and other features of LHS frameworks. Seven structural components of LHSs were identified: organization and collaborations, performance, ethics and security, scientific approaches, data, information technology, and patient outcomes. An adapted interdisciplinary LHS framework was developed that incorporated research and learning engines derived from the KTA and adaptations of common components and other features within the reviewed articles to fit the interests of providers, researchers, and patients within academic health centers.

CONCLUSIONS

The adapted LHS framework can be used as a dynamic foundation for development and organization of interdisciplinary LHSs within academic health centers.

Facilitating Organizational Learning in Nursing Teams

Organizational learning is an effective strategy professional development educators and other nurse leaders can use to improve individual, team, and organizational outcomes. Professional development educators can foster organizational learning by implementing certain actions, called mechanisms, associated with organizational learning. This article highlights five such mechanisms, presents practical examples of each, and suggests evidence-based recommendations professional development educators and nurse leaders can use to better facilitate organizational learning. [J Contin Educ Nurs. 2022;53(8):379-384.].

HOW CAN MANAGERS DRIVE FIRM PERFORMANCE VIA DIGITAL INNOVATIONS?

This paper focuses on challenges regarding managerial behaviour and productivity in the context of digitalisation. It is neither understood precisely how managerial behaviours transcribe digital strategy into economic success nor how opportunities from digital innovations are transferred into productivity. A systematic literature review (SLR) is applied to acquire an organised overview of the research question “How does managerial behaviour concerning digital innovations change productivity?” The outcomes of this paper are threefold: (1) The research question will be answered by showing several aspects managers can make use of to influence productivity. In this regard knowledge, change management and data-driven behaviours, the creation of collaborative settings, and (customer) co-creative aspects are of particular importance. (2) Executives will be motivated to reflect and calibrate their own practices. (3) The Gutenberg rooted framework of production factors is used to discuss the results and six suggestions are made to transform the model to digital readiness.

How can the healthcare system deliver sustainable performance? A scoping review

BACKGROUND

Increasing health costs, demand and patient multimorbidity challenge the sustainability of healthcare systems. These challenges persist and have been amplified by the global pandemic.

OBJECTIVES

We aimed to develop an understanding of how the sustainable performance of healthcare systems (SPHS) has been conceptualised, defined and measured.

DESIGN

Scoping review of peer-reviewed articles and editorials published from database inception to February 2021.

DATA SOURCES

PubMed and Ovid Medline, and snowballing techniques.

ELIGIBILITY CRITERIA

We included articles that discussed key focus concepts of SPHS: (1) definitions, (2) measurement, (3) identified challenges, (4) identified solutions for improvement and (5) scaling successful solutions to maintain SPHS.

DATA EXTRACTION AND SYNTHESIS

After title/abstract screening, full-text articles were reviewed, and relevant information extracted and synthesised under the five focus concepts.

RESULTS

Of 142 included articles, 38 (27%) provided a definition of SPHS. Definitions were based mainly on financial sustainability, however, SPHS was also more broadly conceptualised and included acceptability to patients and workforce, resilience through adaptation, and rapid absorption of evidence and innovations. Measures of SPHS were also predominantly financial, but recent articles proposed composite measures that accounted for financial, social and health outcomes. Challenges to achieving SPHS included the increasingly complex patient populations, limited integration because of entrenched fragmented systems and siloed professional groups, and the ongoing translational gaps in evidence-to-practice and policy-to-practice. Improvement strategies for SPHS included developing appropriate workplace cultures, direct community and consumer involvement, and adoption of evidence-based practice and technologies. There was also a strong identified need for long-term monitoring and evaluations to support adaptation of healthcare systems and to anticipate changing needs where possible.

CONCLUSIONS

To implement lasting change and to respond to new challenges, we need context-relevant definitions and frameworks, and robust, flexible, and feasible measures to support the long-term sustainability and performance of healthcare systems.

Baseline Quality Improvement Capacity of 33 Endocrinology Centers Participating in the T1D Exchange Quality Improvement Collaborative

This article describes the evolution of the Type 1 Diabetes Exchange Quality Improvement Collaborative (T1DX-QI) and provides insight into the development and growth of a successful type 1 diabetes quality improvement (QI) program. Since its inception 8 years ago, the collaborative has expanded to include centers across the United States with varying levels of QI experience, while simultaneously achieving many tangible improvements in type 1 diabetes care. These successes underscore the importance of learning health systems, data-sharing, benchmarking, and peer collaboration as drivers for continuous QI. Future efforts will include recruiting additional small- to medium-sized centers focused on adult care and underserved communities to further the goal of improving care and outcomes for all people living with type 1 diabetes.

A Learning Health System Framework to Operationalize Health Data to Improve Quality Care: An Australian Perspective

Our healthcare system faces a burgeoning aging population, rising complexity, and escalating costs. Around 10% of healthcare is harmful, and evidence is slow to implement. Innovation to deliver quality and sustainable health systems is vital, and the methods are challenging. The aim of this study is to describe the process and present a perspective on a coproduced Learning Health System framework. The development of the Framework was led by publicly funded, collaborative, Academic Health Research Translation Centres, with a mandate to integrate research into healthcare to deliver impact. The focus of the framework is “learning together for better health,” with coproduction involving leadership by an expert panel, a systematic review, qualitative research, a stakeholder workshop, and iterative online feedback. The coproduced framework incorporates evidence from stakeholders, from research, from data (practice to data and data to new knowledge), and from implementation, to take new knowledge to practice. This continuous learning approach aims to deliver evidence-based healthcare improvement and is currently being implemented and evaluated.

Pressure Injury Surveillance and Prevention in Australia: Monash Partners Capacity Building Framework

A hospital-acquired pressure injury (HAPI) is a common complication across the globe. The severity of HAPI ranges from skin redness and no skin breakdown to full skin and tissue loss, exposing the tendons and bones. HAPI can significantly impact the quality of life. In addition to the human cost, this injury carries a high economic burden with the cost of treatment far outweighing the preventative measures. The HAPI rates are a key indicator of health services performance. Globally, healthcare services aim to reduce its incidence. In Australia, the federal health minister has prioritised the need for improvement in HAPI surveillance and prevention. Capacity building is vital to optimise pressure injury (PI) surveillance and prevention in acute care services. In this perspective article, we provide a framework for capacity building to optimise HAPI prevention and surveillance in a large cross-sector collaborative partnership in Australia. This framework comprises six key action areas in capacity building to optimise the HAPI outcomes, such as research, organisational development, workforce development, leadership, collaboration, and consumer involvement.

Learning health systems using data to drive healthcare improvement and impact: a systematic review

Background

The transition to electronic health records offers the potential for big data to drive the next frontier in healthcare improvement. Yet there are multiple barriers to harnessing the power of data. The Learning Health System (LHS) has emerged as a model to overcome these barriers, yet there remains limited evidence of impact on delivery or outcomes of healthcare.

Objective

To gather evidence on the effects of LHS data hubs or aligned models that use data to deliver healthcare improvement and impact. Any reported impact on the process, delivery or outcomes of healthcare was captured.

Methods

Systematic review from CINAHL, EMBASE, MEDLINE, Medline in-process and Web of Science PubMed databases, using learning health system, data hub, data-driven, ehealth, informatics, collaborations, partnerships, and translation terms. English-language, peer-reviewed literature published between January 2014 and Sept 2019 was captured, supplemented by a grey literature search. Eligibility criteria included studies of LHS data hubs that reported research translation leading to health impact.

Results

Overall, 1076 titles were identified, with 43 eligible studies, across 23 LHS environments. Most LHS environments were in the United States (n = 18) with others in Canada, UK, Sweden and Australia/NZ. Five (21.7%) produced medium-high level of evidence, which were peer-reviewed publications.

Conclusions

LHS environments are producing impact across multiple continents and settings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06215-8.