Keywords
Learning healthcare system, learning organisation, rehabilitation, systems thinking, complexity
Learning healthcare system, learning organisation, rehabilitation, systems thinking, complexity
Based on the peer reviewer feedback that we received, we have updated the protocol article to reflect the value the concept and framework of Learning Health Systems can bring to the field of rehabilitation. We have updated the introduction to reflect this rationale clearly and as a part of this effort we have made it much more concise. Based on reviewer's suggestions we have added an implications section. Other small edits have been made throughout the text based on reviewer feedback, this includes changes to wording and a minor adjustment to the search string. Minor changes to the title and abstract have been made to reflect the changes made to the article.
To read any peer review reports and author responses for this article, follow the "read" links in the Open Peer Review table.
The increasing aging population, evolving health needs, and rising public expectations for improved health outcomes have placed significant pressure on health systems. Recognizing the crucial role of rehabilitation in strengthening healthcare systems, the World Health Organization (WHO) has introduced the Rehabilitation 2030 initiative highlighting the need for scaling up and enhancing rehabilitation services worldwide (Krug & Cieza, 2017). With a growing number of individuals living with disabilities (Cieza, 2019; Krug & Cieza, 2017; WHO, 2020), advancing rehabilitation services has the potential to reduce disability prevalence, decrease healthcare costs (E. P. a. R. M. B Alliance, 2018), and enable individuals to live longer and better lives.
One model that shows promise in advancing rehabilitation services is the concept of a learning healthcare system (LHS). LHS involves a data-driven approach, where routinely collected healthcare data are utilized to drive continuous improvement and knowledge creation in healthcare practices (Enticott et al., 2021). Key features of LHS include cyclical data-driven processes, embedded researchers, academic partnerships, and a focus on being service-led and community-led (Enticott et al., 2021; Johnson et al., 2021). The roots of the LHS concept trace back to the notion of a "learning organization" (LO) developed in the 1990s by Peter Senge and others (Senge, 2006). This concept aimed to build adaptive organizations that embrace learning and lead change. While initially applied to private companies, the concept has since been extended to public organizations, including healthcare systems (Rashman et al., 2009). This requires frameworks that are complex and dynamic enough to accommodate the unique characteristics of healthcare systems.
Acknowledging the complexity of interacting components within an organization is known as “systems thinking” and is a key feature of LOs (Iles & Sutherland, 2001) In the context of healthcare, applying a complexity lens means recognizing the intricate and multifaceted care networks across different settings, presenting challenges for healthcare delivery (Braithwaite et al., 2021; Carroll, 2021). LOs also distinguish between different types of learning, such as single loop, double loop, and deutero-learning, each with its own characteristics and objectives (Argyris & Schön, 1978). Similarly, the concept of a LHS encompasses harnessing the power of big data for continuous learning and improvement. The core idea for both LHSs and LOs is for health systems and organisations to learn and adapt.
Both LHS and LO concepts share common challenges and criticisms, such as inconsistent terminology (Enticott et al., 2021; Shea & Taylor, 2017) and a lack of empirical evidence on effective implementation and support (Budrionis & Bellika, 2016; Huber, 1991; Tosey et al., 2012; Visser, 2007). Despite these challenges, the benefits of LHS models across different healthcare settings are well supported by Enticott et al.'s (2021) systematic review. Applying LHS principles to rehabilitation care, with its interdisciplinary nature and focus on patient co-production and goal-setting, could potentially facilitate best practices and provide regular feedback on progress and goals. However, there is a need for further research to explore how LHS models have been applied in rehabilitation contexts and identify key learnings from these applications. Evidence syntheses on LHS have been conducted (Budrionis & Bellika, 2016; Enticott et al., 2021; McLachlan et al., 2018; Platt et al., 2020; Pomare et al., 2022) but none (as far the authors are aware) have focused on rehabilitation settings.
In summary, the LHS concept promotes data-driven healthcare improvement and draws from the concept of a learning organization. While LHS has been applied in various healthcare settings (Platt et al., 2020) its implementation in rehabilitation remains limited. This review aims to contribute to the field of healthcare improvement by exploring LHS adoption in rehabilitation and extracting key insights from existing applications. A scoping review is an appropriate type of evidence synthesis for this topic as it will allow the review team to summarise the breadth of evidence available on the topic of LHS/LO in rehabilitation, identify key features of LHS/LO in this context and describe how existing rehabilitation services have become LHS/LO.
How have “learning health systems” and “learning organisations” been conceptualised and operationalised in the field of rehabilitation?
The objectives of this review are:
• To gather and note the prevalence of literature which applies LHS and LO concepts to the rehabilitation context.
• From this literature, to collate different definitions of learning healthcare organisations and systems, and note core features of the concepts
• To record how LO or LHS frameworks were applied in rehabilitation settings and the changes made within the organisation.
The review will be guided by the methodological framework for scoping reviews outlined by Arksey and O'Malley (2005) and Levac et al. (2010), and the evidence synthesis guidelines from the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis (Peters et al., 2020).
All co-authors actively participated in the development of this protocol. The full review team consists of three academic researchers, a nurse, a speech and language therapist, a physiotherapist, a rehabilitation hospital programme manager and a university librarian. Three members of the review team (CH, ZT and LC) will undertake the screening of the retrieved literature and the data extraction. Two reviewers will dual screen all abstracts and full texts (CH and ZT), and a third reviewer (LC) will resolve any conflict and decide on final inclusion. The entire process will be supervised by a senior academic researcher who is extensively experienced in scoping review methods (AC).
The research team will undertake a comprehensive search of the literature within the following databases:
OVID MEDLINE (1946 – 9/2022)
EMBASE (1947 – 9/2022)
CINAHL Nursing and Allied Health (CINAHL Plus) (1961 – 9/2022)
APA PsycINFO (1967 – 9/2022)
COCHRANE Database of Systematic Reviews (1996 – 9/2022)
The key search concepts for this study are ‘learning health system’ AND ‘rehabilitation’. Alternative and related terms for each of the concepts will also be included, and exclusion terms will be added to eliminate results related to substance abuse and acute care rehabilitation. Table 1 contains the keywords and exclusion terms for the search strings. The search query will be adapted for each database using specific Boolean operators, truncation markers, and MeSH-, Emtree-, subject- and index terms and headings where necessary. The research team collaborated with an expert university librarian (D.S.) in designing and refining the search strategy. Table 2 contains the search strings for each database.
As recommended by the JBI Manual for Evidence Synthesis (Peters et al., 2020), a three-step process for applying a search strategy will be implemented. Step 1 has already been carried out and involved an initial limited search on multiple databases for relevant articles. This has been followed by analysis of the keywords and phrases contained in the titles and abstracts of the retrieved papers, and of the index terms used to describe the articles. Step 2 will involve the search across all included databases using the identified key words outlined in Table 1. Step 3 will involve the search of the reference lists of selected sources to identify any additional relevant studies, as well as hand search of two rehabilitation datahubs involved in application of LHSs, the International Spinal Cord Injury Community Survey (InSCI) (http://www.swisci.ch) and the LeaRRn | Learning Health Systems Rehabilitation Research Network (LeaRRn) (sites.brown.edu/learrn/).
In line with methodological framework by Arksey and O'Malley (2005), the final inclusion and exclusion criteria will be devised post hoc, based on increasing familiarity with the literature. Following the JBI guidelines, however, the scoping review question was guided by the PCC mnemonic (population, concept, and context) and it will inform inclusion and exclusion criteria and consequently the literature search strategy.
• Population: health and social care professionals – nursing, medical, allied healthcare professionals/health and social care professionals, health and social care management.
• Concept: studies whose primary focus is "learning" healthcare system or organisation.
• Context: studies conducted in rehabilitation healthcare settings.
• Types of evidence sources: peer-reviewed qualitative, quantitative or mixed-methods empirical studies, reviews, and grey literature in the English language. This includes conference proceedings and opinion pieces. Studies will be included if they define a “learning organisation” or “learning health system” and focus on or specifies relevance to a rehabilitation context. Alternatively, papers will be included if they describe an operating LHS (research focused on LHS data analysed) and/or translation of research evidence generated from LHS data into healthcare improvement, within a rehabilitation context.
Papers will be excluded if they contain no substantive discussion of the learning healthcare system or learning organisation concept or are conducted outside rehabilitation settings. Non-English language studies will be excluded due to time and resources required for translation. Considering the limited number of relevant papers from rehabilitation settings, the authors decided against limiting the search by date. Animal research and poster abstracts will also be excluded. In line with the guidelines from the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis and Levac (Levac et al., 2010; Peters et al., 2020), at the beginning of the process, the team will meet to discuss decisions surrounding study inclusion and exclusion. Two reviewers will dual screen all abstracts and a third reviewer will resolve any conflict and decide on final inclusion.
The found articles will be imported into the bibliographic reference management software Endnote (https://endnote.com/), and any duplicates removed. The systematic review software tool, Covidence (www.covidence.org), will be used for screening of the retrieved literature. A suitable free alternative to Covidence software is Rayyan (https://www.rayyan.ai/). For the pilot testing, a random sample of 25 titles/abstracts will be selected. These will be screened by the entire team using the eligibility criteria and definitions/elaboration document. The reviewers will meet to discuss discrepancies and make modifications to the eligibility criteria and definitions/elaboration document. Team will only start screening when 75% (or greater) agreement is achieved. The reviewers will meet at the beginning, midpoint, and final stages of the abstract review process to discuss challenges and uncertainties related to study selection and to the search strategy if needed. Any disagreements will be resolved by involvement of a third reviewer. The full text article review will be undertaken by the same reviewers using the same method, with the two reviewers reviewing the full texts independently and the third reviewer resolving any conflicts and deciding on final inclusion. The process of study selection, as well as the number of identified, screened, assessed, and included articles will be reported using a PRISMA-ScR flow diagram (Tricco et al., 2018).
A draft charting table – for extracting the data addressing the research question – based on JBI Manual for Evidence Synthesis (Peters et al., 2020) was drafted at the protocol stage (see Table 3). Descriptive data about the study documents will be extracted. This will include:
Author(s)
Year of publication
Journal information
Origin/country of origin (where the source was published or conducted)
Research design and methodology
Professionals involved
What was the setting/organisation for the study?
Data will be extracted under the following headings in order to address the research questions:
How was the concept of a learning organisation or system defined?
Who were the participants? Were patients included?
How were they a learning organisation – what changes were implemented?
What was the impact of changes made?
The charting table will be continually updated in an iterative process to capture other relevant data that the authors encounter during the process. In line with recommendation from Arksey & O’Malley and JBI Manual for Evidence Synthesis (Arksey & O'Malley, 2005; Peters et al., 2020), the review team will pilot the data extraction table on a sample of the included studies (10% of the complete list of retrieved studies) to ensure all relevant results are extracted.
A descriptive approach will be employed to address research questions. Frequency counts will be appropriate for example in demonstrating how many studies focused on operationalising a LO or LHS framework in an organisation, or in ascertaining which journal discipline was most prevalent in the collated studies. Basic coding can be done on definitions using NVivo (https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/) to identify different ways that the concepts have been defined, and key features of the concepts can be listed. The results pertaining to how the LHS or LO concept was applied to the rehabilitation setting will be descriptively summarised on a paper by paper basis.
The results of a scoping review will be presented as a map of the data extracted from the included papers (as charts) and in an aggregate tabular form (as tables) for better visualisation of the results, and in a descriptive format that aligns with the objectives and scope of the review. In line with JBI manual analysis will be descriptive in nature, as more in-depth analyses such as thematic analysis or synthesis are better suited to qualitative evidence syntheses (Peters et al., 2020). This approach will provide information on the body of research on the concept of “learning” organisations and systems in the context of rehabilitation care.
This review is part of a larger co-research project. This review team includes healthcare professionals working in rehabilitation as co-researchers. Their involvement goes beyond stakeholder consultation, as the co-researchers are contributing not only clinical expertise and knowledge alone but are actively involved in each stage of the review process. All are credited as co-authors and have been involved in reviewing the development of this protocol and the conceptual elements of the review question and search.
Additionally, a former patient assumed an important role as a co-researcher on the project. As an integral member of the co-research team, their unique perspective and lived experience was shared at regular co-research team meetings. This invaluable contribution informed the planning and development of the co-research project. The decision to undertake this scoping review was greatly influenced by the feedback provided by the patient in the early planning stages of the co-research project. Though they are not a co-author on this paper, they will continue to be involved in the larger co-research project and may be a co-author on future papers.
This review will guide a larger research project on teamwork in rehabilitation. The results of the scoping review will be published in a peer reviewed journal and presented at both national and international conferences (see Table 4 for review timeline). All data will be stored in line with best General Data Protection Regulation Practice.
The creation and implementation of rehabilitation-focused LHSs offers great potential for rehabilitation services, which are currently in global need of advancement and development. Rehabilitation is a holistic process involving interdisciplinary collaboration and active involvement of patients throughout their care journey. Rehabilitation services thus exemplify co-production with service users (Batalden et al., 2016). Another key aspect of rehabilitation care is goal setting (NICE, 2009; Stroke Foundation, 2017), but contrary to best practice, there is often a lack of review, feedback, and goal breakdown (Plant & Tyson, 2018; Scobbie et al., 2015). LHS principles align with the interdisciplinary nature of rehabilitation, co-production, and the need for progress monitoring and continuous feedback. By applying LHS in rehabilitation settings, best practices could be facilitated to improve patient outcomes and experience. This review will examine the application of LHS and LO concepts in rehabilitation settings, contributing to the understanding of how rehabilitation focused LHS are developed and operationalized. Findings from this review can be used to inform the development of future rehabilitation LHSs and direct the way for further research on the concept.
Christophers, L: Conceptualization, Investigation, Methodology, Project Administration, Resources, Supervision, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing; Torok, Z: Conceptualization, Investigation, Project Administration, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing; Cornall, C: Conceptualization, Resources, Writing – Review & Editing; Henn, A: Conceptualization, Resources, Writing – Review & Editing; Hudson, C: Conceptualization, Resources, Writing – Review & Editing; Whyte, T: Conceptualization, Resources, Writing – Review & Editing; Stokes, D: Investigation, Methodology, Resources; Carroll, Á: Conceptualization, Funding Acquisition, Methodology, Resources, Supervision, Writing – Review & Editing
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Quality improvement, patient safety, coproduction, organisational learning.
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: My work is in healthcare innovation in learning health systems, with specific foci on co-design and evaluation of healthcare innovations.
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Partly
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: My work is in healthcare innovation in learning health systems, with specific foci on co-design and evaluation of healthcare innovations.
Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Not applicable
References
1. Enticott J, Johnson A, Teede H: Learning health systems using data to drive healthcare improvement and impact: a systematic review.BMC Health Serv Res. 2021; 21 (1): 200 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Quality improvement, patient safety, coproduction, organisational learning.
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