The three numbers you need to know about healthcare: the 60-30-10 Challenge

Experiences and perceptions of final-year nursing students of using a chatbot in a simulated emergency situation: A qualitative study

AIM

The aim of this study is to explore the experiences and perceptions of final-year nursing students on the acceptability and feasibility of using a chatbot for clinical decision-making and patient safety.

BACKGROUND

The effective and inclusive use of new technologies such as conversational agents or chatbots could support nurses in increasing evidence-based care and decreasing low-quality services.

METHODS

A descriptive qualitative study was used through focus group interviews. The data analysis was conducted using a thematic analysis.

RESULTS

This study included 114 participants. After our data analysis, two main themes emerged: (i) experiences in the use of a chatbot service for clinical decision-making and and (ii) integrating conversational agents into the organizational safety culture.

CONCLUSIONS

The findings of our study provide preliminary support for the acceptability and feasibility of adopting SafeBot, a chatbot for clinical decision-making and patient safety. Our results revealed substantial recommendations for refining navigation, layout and content, as well as useful insights to support its acceptance in real nursing practice.

IMPLICATIONS FOR NURSING MANAGEMENT

Leaders and managers may well see artificial intelligence-based conversational agents like SafeBot as a potential solution in modern nursing practice for effective problem-solving resolution, innovative staffing and nursing care delivery models at the bedside and criteria for measuring and ensure quality and patient safety.

Strategies for de-implementation of low-value care-a scoping review

Background

The use of low-value care (LVC) is a persistent problem that calls for knowledge about strategies for de-implementation. However, studies are dispersed across many clinical fields, and there is no overview of strategies that can be used to support the de-implementation of LVC. The extent to which strategies used for implementation are also used in de-implementing LVC is unknown. The aim of this scoping review is to (1) identify strategies for the de-implementation of LVC described in the scientific literature and (2) compare de-implementation strategies to implementation strategies as specified in the Expert Recommendation for Implementing Change (ERIC) and strategies added by Perry et al.

Method

A scoping review was conducted according to recommendations outlined by Arksey and O’Malley. Four scientific databases were searched, relevant articles were snowball searched, and the journal Implementation Science was searched manually for peer-reviewed journal articles in English. Articles were included if they were empirical studies of strategies designed to reduce the use of LVC. Two reviewers conducted all abstract and full-text reviews, and conflicting decisions were discussed until consensus was reached. Data were charted using a piloted data-charting form. The strategies were first coded inductively and then mapped onto the ERIC compilation of implementation strategies.

Results

The scoping review identified a total of 71 unique de-implementation strategies described in the literature. Of these, 62 strategies could be mapped onto ERIC strategies, and four strategies onto one added category. Half (50%) of the 73 ERIC implementation strategies were used for de-implementation purposes. Five identified de-implementation strategies could not be mapped onto any of the existing strategies in ERIC.

Conclusions

Similar strategies are used for de-implementation and implementation. However, only a half of the implementation strategies included in the ERIC compilation were represented in the de-implementation studies, which may imply that some strategies are being underused or that they are not applicable for de-implementation purposes. The strategies assess and redesign workflow (a strategy previously suggested to be added to ERIC), accountability tool, and communication tool (unique new strategies for de-implementation) could complement the existing ERIC compilation when used for de-implementation purposes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13012-022-01247-y.

Mapping continuous learning using social network research: a social network study of Australian Genomics as a Learning Health System

OBJECTIVES

To explore a macrolevel Learning Health System (LHS) and examine if an intentionally designed network can foster a collaborative learning community over time. The secondary aim was to demonstrate the application of social network research to the field of LHS.

DESIGN

Two longitudinal online questionnaires of the Australian Genomics learning community considering relationships between network members at three time points: 2016, 2018, 2019. The questionnaire included closed Likert response questions on collaborative learning patterns and open-response questions to capture general perceptions of the community. Social network data were analysed and visually constructed using Gephi V.0.9.2 software, Likert questions were analysed using SPSS, and open responses were analysed thematically using NVivo.

SETTING

Australian Genomic Health Alliance.

PARTICIPANTS

Clinicians, scientists, researchers and community representatives.

RESULTS

Australian Genomics members highlighted the collaborative benefits of the network as a learning community to foster continuous learning in the ever-evolving field of clinical genomics. The learning community grew from 186 members (2016), to 384 (2018), to 439 (2019). Network density increased (2016=0.023, 2018=0.043), then decreased (2019=0.036). Key players remained consistent with potential for new members to achieve focal positions in the network. Informal learning was identified as the most influential learning method for genomic practice.

CONCLUSIONS

This study shows that intentionally building a network provides a platform for continuous learning-a fundamental component for establishing an LHS. The Australian Genomics learning community shows evidence of maturity and sustainability in supporting the continuous learning culture of clinical genomics. The network provides a practical means to spread new knowledge and best practice across the entire field. We show that intentionally designed networks provide the opportunity and means for interdisciplinary learning between diverse agents over time and demonstrate the application of social network research to the LHS field.

Patients' experiences of, and engagement with, remote home monitoring services for COVID-19 patients: A rapid mixed-methods study

INTRODUCTION

Remote home monitoring models were implemented during the COVID-19 pandemic to shorten hospital length of stay, reduce unnecessary hospital admission, readmission and infection and appropriately escalate care. Within these models, patients are asked to take and record readings and escalate care if advised. There is limited evidence on how patients and carers experience these services. This study aimed to evaluate patient experiences of, and engagement with, remote home monitoring models for COVID-19.

METHODS

A rapid mixed-methods study was carried out in England (conducted from March to June 2021). We remotely conducted a cross-sectional survey and semi-structured interviews with patients and carers. Interview findings were summarized using rapid assessment procedures sheets and data were grouped into themes (using thematic analysis). Survey data were analysed using descriptive statistics.

RESULTS

We received 1069 surveys (18% response rate) and conducted interviews with patients (n = 59) or their carers (n = 3). 'Care' relied on support from staff members and family/friends. Patients and carers reported positive experiences and felt that the service and human contact reassured them and was easy to engage with. Yet, some patients and carers identified problems with engagement (e.g., hesitancy to self-escalate care). Engagement was influenced by patient factors such as health and knowledge, support from family/friends and staff, availability and ease of use of informational and material resources (e.g., equipment) and service factors.

CONCLUSION

Remote home monitoring models place responsibility on patients to self-manage symptoms in partnership with staff; yet, many patients required support and preferred human contact (especially for identifying problems). Caring burden and experiences of those living alone and barriers to engagement should be considered when designing and implementing remote home monitoring services.

PATIENT OR PUBLIC CONTRIBUTION

The study team met with service users and public members of the evaluation teams throughout the project in a series of workshops. Workshops informed study design, data collection tools and data interpretation and were conducted to also discuss study dissemination. Public patient involvement (PPI) members helped to pilot patient surveys and interview guides with the research team. Some members of the public also piloted the patient survey. Members of the PPI group were given the opportunity to comment on the manuscript, and the manuscript was amended accordingly.

Embedded point of care randomisation for evaluating comparative effectiveness questions: PROSPECTOR-critical care feasibility study protocol

INTRODUCTION

Many routinely administered treatments lack evidence as to their effectiveness. When treatments lack evidence, patients receive varying care based on the preferences of clinicians. Standard randomised controlled trials are unsuited to comparisons of different routine treatment strategies, and there remains little economic incentive for change.Integrating clinical trial infrastructure into electronic health record systems offers the potential for routine treatment comparisons at scale, through reduced trial costs. To date, embedded trials have automated data collection, participant identification and eligibility screening, but randomisation and consent remain manual and therefore costly tasks.This study will investigate the feasibility of using computer prompts to allow flexible randomisation at the point of clinical decision making. It will compare the effectiveness of two prompt designs through the lens of a candidate research question-comparing liberal or restrictive magnesium supplementation practices for critical care patients. It will also explore the acceptability of two consent models for conducting comparative effectiveness research.

METHODS AND ANALYSIS

We will conduct a single centre, mixed-methods feasibility study, aiming to recruit 50 patients undergoing elective surgery requiring postoperative critical care admission. Participants will be randomised to either 'Nudge' or 'Preference' designs of electronic point-of-care randomisation prompt, and liberal or restrictive magnesium supplementation.We will judge feasibility through a combination of study outcomes. The primary outcome will be the proportion of prompts displayed resulting in successful randomisation events (compliance with the allocated magnesium strategy). Secondary outcomes will evaluate the acceptability of both prompt designs to clinicians and ascertain the acceptability of pre-emptive and opt-out consent models to patients.

ETHICS AND DISSEMINATION

This study was approved by Riverside Research Ethics Committee (Ref: 21/LO/0785) and will be published on completion.

TRIAL REGISTRATION NUMBER

NCT05149820.

Low-value care in musculoskeletal health care: Is there a way forward?

BACKGROUND

Low-value care that wastes resources and harms patients is prevalent in health systems everywhere.

METHODS

As part of an invited keynote presentation at the Pain in Motion IV conference held in Maastricht, Holland, in May 2022, we reviewed evidence for low-value care in musculoskeletal conditions and discussed possible solutions.

RESULTS

Drivers of low-value care are diverse and affect patients, clinicians, and health systems everywhere. We show that low-value care for back pian, neck pain, and osteoarthritis is prevalent in all professional groups involved in caring for people who seek care for these conditions. Implementation efforts that aim to reverse low-value care seem to work better if designed using established conceptual and theoretical frameworks.

CONCLUSION

Low-value care is prevalent in the care of people with musculoskeletal conditions. Reducing low-value care requires behaviour change among patients and clinicians as well as in health systems. There is evidence that behaviour change can be facilitated through good conceptual and theoretical frameworks but not convincing evidence that it changes patient outcomes.

Development of an Australia and New Zealand Lung Cancer Clinical Quality Registry: a protocol paper

INTRODUCTION

Lung cancer is the leading cause of cancer mortality, comprising the largest national cancer disease burden in Australia and New Zealand. Regional reports identify substantial evidence-practice gaps, unwarranted variation from best practice, and variation in processes and outcomes of care between treating centres. The Australia and New Zealand Lung Cancer Registry (ANZLCR) will be developed as a Clinical Quality Registry to monitor the safety, quality and effectiveness of lung cancer care in Australia and New Zealand.

METHODS AND ANALYSIS

Patient participants will include all adults >18 years of age with a new diagnosis of non-small-cell lung cancer (NSCLC), SCLC, thymoma or mesothelioma. The ANZLCR will register confirmed diagnoses using opt-out consent. Data will address key patient, disease, management processes and outcomes reported as clinical quality indicators. Electronic data collection facilitated by local data collectors and local, state and federal data linkage will enhance completeness and accuracy. Data will be stored and maintained in a secure web-based data platform overseen by registry management. Central governance with binational representation from consumers, patients and carers, governance, administration, health department, health policy bodies, university research and healthcare workers will provide project oversight.

ETHICS AND DISSEMINATION

The ANZLCR has received national ethics approval under the National Mutual Acceptance scheme. Data will be routinely reported to participating sites describing performance against measures of agreed best practice and nationally to stakeholders including federal, state and territory departments of health. Local, regional and (bi)national benchmarks, augmented with online dashboard indicator reporting will enable local targeting of quality improvement efforts.

Health, financial and environmental impacts of unnecessary vitamin D testing: a triple bottom line assessment adapted for healthcare

OBJECTIVE

To undertake an assessment of the health, financial and environmental impacts of a well-recognised example of low-value care; inappropriate vitamin D testing.

DESIGN

Combination of systematic literature search, analysis of routinely collected healthcare data and environmental analysis.

SETTING

Australian healthcare system.

PARTICIPANTS

Population of Australia.

OUTCOME MEASURES

We took a sustainability approach, measuring the health, financial and environmental impacts of a specific healthcare activity. Unnecessary vitamin D testing rates were estimated from best available published literature; by definition, these provide no gain in health outcomes (in contrast to appropriate/necessary tests). Australian population-based test numbers and healthcare costs were obtained from Medicare for vitamin D pathology services. Carbon emissions in kg CO₂e were estimated using data from our previous study of the carbon footprint of common pathology tests. We distinguished between tests ordered as the primary test and those ordered as an add-on to other tests, as many may be done in conjunction with other tests. We conducted base case (8% being the primary reason for the blood test) and sensitivity (12% primary test) analyses.

RESULTS

There were a total of 4 457 657 Medicare-funded vitamin D tests in 2020, on average one test for every six Australians, an 11.8% increase from the mean 2018-2019 total. From our literature review, 76.5% of Australia's vitamin D tests provide no net health benefit, equating to 3 410 108 unnecessary tests in 2020. Total costs of unnecessary tests to Medicare amounted to >$A87 000 000. The 2020 carbon footprint of unnecessary vitamin D tests was 28 576 kg (base case) and 42 012 kg (sensitivity) CO₂e, equivalent to driving ~160 000-230 000 km in a standard passenger car.

CONCLUSIONS

Unnecessary vitamin D testing contributes to avoidable CO₂e emissions and healthcare costs. While the footprint of this example is relatively small, the potential to realise environmental cobenefits by reducing low-value care more broadly is significant.

The Implementation of Evidence-Informed Family Nursing Practices: A Scoping Review of Strategies, Contextual Determinants, and Outcomes

There is a lack of knowledge about the successful implementation of family nursing practices. This scoping review maps current knowledge about the implementation of evidence-informed family nursing practices across settings and populations. A systematic search (CINAHL, PubMed, Medline) identified 24 publications, published between 2010 and 2020. We found nurses' implementation experience to be one of disruption, learning, and moving to new ways of practicing. The implementation resulted in benefits to families and self but was marked by fluctuation and partial integration of evidence-informed family nursing practices into care delivery. Uptake was shaped by various contextual determinants, with barriers mainly at the team and organizational levels. We identified low-quality, tentative evidence that capacity-building strategies coupled with dissemination-educational strategies may enable family nursing practice skills and increase the quality of family care. More rigorous research is needed to build further knowledge about effective implementation. Future implementation endeavors should utilize the evolving knowledge base in family nursing and tailor implementation strategies to contextual barriers.

The effectiveness of champions in implementing innovations in health care: a systematic review

Background

Champions have been documented in the literature as an important strategy for implementation, yet their effectiveness has not been well synthesized in the health care literature. The aim of this systematic review was to determine whether champions, tested in isolation from other implementation strategies, are effective at improving innovation use or outcomes in health care.

Methods

The JBI systematic review method guided this study. A peer-reviewed search strategy was applied to eight electronic databases to identify relevant articles. We included all published articles and unpublished theses and dissertations that used a quantitative study design to evaluate the effectiveness of champions in implementing innovations within health care settings. Two researchers independently completed study selection, data extraction, and quality appraisal. We used content analysis and vote counting to synthesize our data.

Results

After screening 7566 records titles and abstracts and 2090 full text articles, we included 35 studies in our review. Most of the studies (71.4%) operationalized the champion strategy by the presence or absence of a champion. In a subset of seven studies, five studies found associations between exposure to champions and increased use of best practices, programs, or technological innovations at an organizational level. In other subsets, the evidence pertaining to use of champions and innovation use by patients or providers, or at improving outcomes was either mixed or scarce.

Conclusions

We identified a small body of literature reporting an association between use of champions and increased instrumental use of innovations by organizations. However, more research is needed to determine causal relationship between champions and innovation use and outcomes. Even though there are no reported adverse effects in using champions, opportunity costs may be associated with their use. Until more evidence becomes available about the effectiveness of champions at increasing innovation use and outcomes, the decision to deploy champions should consider the needs and resources of the organization and include an evaluation plan. To further our understanding of champions’ effectiveness, future studies should (1) use experimental study designs in conjunction with process evaluations, (2) describe champions and their activities and (3) rigorously evaluate the effectiveness of champions’ activities.

Registration

Open Science Framework (https://osf.io/ba3d2). Registered on November 15, 2020.

Supplementary Information

The online version contains supplementary material available at 10.1186/s43058-022-00315-0.

Management strategies to de-implement low-value care-an applied behavior analysis

BACKGROUND

There is a lack of knowledge about management strategies being used to de-implement low-value care (LVC). Furthermore, it is not clear from the current literature what mechanisms are involved in such strategies and how they can change physicians' behaviors. Understanding the mechanisms is important for determining a strategy's potential impact. Applied behavior analysis focuses on processes involved in increasing and decreasing behaviors. Therefore, the aim of this study is to understand what management strategies are being used to de-implement LVC and the possible mechanisms involved in those strategies, using concepts from applied behavior analysis.

METHOD

We applied a qualitative study design using an inductive approach to understand what management strategies are in use and then employed applied behavior analysis concepts to deductively analyze the mechanisms involved in them.

RESULTS

We identified eight different management strategies intended to influence LVC. Five of the strategies were developed at a regional level and had the potential to influence physicians' LVC-related behaviors either by functioning as rules on which LVC to de-implement or by initiating local strategies in each health care center that in turn could influence LVC practices. The local strategies had a stronger potential for influencing de-implementation.

CONCLUSION

Both strategies at a systemic level (regional) and on a local level (health care centers) must be considered to influence LVC-related behaviors. Strategies at the center level have a specific opportunity to impact LVC-related behaviors because they can be tailored to specific circumstances, even though some of them probably were initiated as an effect of strategies on a regional level. Using applied behavior analysis to understand these circumstances can be helpful for tailoring strategies to reduce LVC use.

Contextual antecedents of quality improvement: a comparative case study in rural, urban and Kaupapa Māori general practice

Introduction The impact of contextual factors on primary health-care quality improvement is significant. In-depth research is required to identify the key contextual factors that influence quality improvement initiatives to develop high-performing primary health-care systems. Aim This research seeks to answer two questions; what are the contextual factors influencing primary care improvement initiatives?; and how do contextual factors, the quality improvement initiative and the implementation process influence one another and the overall improvement outcomes? Methods A multi-case study methodology was used to explore the complexities of the phenomena in situ . Three sites where successful quality improvement had occurred were selected by purposeful theoretical sampling to provide a sample of rural, urban and Kaupapa Māori general practice settings typical of the New Zealand environment. Semi-structured interviews were conducted with team members and triangulated with secondary data provided by the organisations. Results The quality improvement topic and the approach taken were intrinsically linked to context. Sites reported success in achieving the desired outcomes benefitting the patients, practice and staff. Teams did not use formal improvement methods, instead relying on established relationships and elements of change management methods. The culture in all three cases was a large component of why and how these initiatives were successful. Discussion Intrinsic motivation was generated by community connections and networks. This combined with a learning climate generated by distributed leadership and teamwork enabled success. Iterative reflection and sensemaking processes were able to deliver quality improvement success in primary care without the use of formal improvement methods.

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.

The Relationship Between Workplace Incivility and Psychological Distress: The Moderating Role of Servant Leadership

BACKGROUND

The relationship between workplace incivility and psychological distress among nurses has been well-documented in the nursing literature. Management practices to reduce the negative impact are less clear. This study aimed to examine perceived servant leadership as a moderator between workplace incivility and psychological distress among nurses in Chinese hospitals.

METHODS

This study used a cross-sectional design and was conducted between September and October 2020. We recruited 1,604 nurses from 13 Chinese hospitals across different regions in China ranging from 18 to 55 years in age (M = 28.48 years, SD = 6.53 years). Multiple linear regression was used to analyze the data.

FINDINGS

The results showed that workplace incivility (β = 0.40, p < .001) and perceived servant leadership (β = -0.13, p < .001), as well as their interaction (β = -0.11, p = .002), predicted nurses' psychological distress. Perceived servant leadership moderates the relationship between workplace incivility and psychological distress.

CONCLUSIONS/APPLICATION TO PRACTICE

Servant leaders can create an ethical work climate, display empathy and compassion, and facilitate resilience. Our findings can assist hospital management with support from occupational health providers to recruit, train, and assess nursing supervisors. Also, occupational health providers in collaboration with nursing administration can monitor incivility, psychological distress, servant leadership levels, and impact.

Coping with complexity in the COVID pandemic: An exploratory study of intensive care units

Although the COVID pandemic has challenged the resilience of health services in general, this impact has been most visible in intensive care units (ICUs). This paper presents an exploratory study of how ICUs in Brazil have coped with the complexity stemming from the pandemic. Five guidelines for coping with complexity were adopted as analytical framework. The guidelines were concerned with slack resources, diversity of perspectives, visibility, work-as-done, and unintended consequences. There were three main sources of data: (i) a survey with respondents from 33 ICUs, which indicated their agreement with 23 statements related to the use of the complexity guidelines; (ii) semistructured interviews with seven survey respondents and two public health officials; and (iii) 20 h of observations of the meetings of a municipal bed management committee. Seventy resilience practices were identified from these data sources. Most of these practices (n = 30) were related to the guideline on slack resources, which were commonly obtained from other hospital units. As for the survey data, the statement related to the availability of extra or standby human resources obtained the lowest score, reinforcing the key role of slack resources. Five lessons learned for coping with complexity in ICUs were drawn from our data; one lesson for each guideline. Furthermore, the survey questionnaire is a potential ICU assessment tool, which can be adapted to other health services.

From “Invented here” to “Use it everywhere!”: A Learning health system from bottom and/or top?

Introduction

Departing from a practical problem of how to use digitalization to improve care quality and efficiency, this paper investigates how the concept of Learning Health Systems (LHSs) can be applied to an existing organization. LHSs offer a vision for how healthcare can accelerate both scale‐up of innovations and quality improvements at all levels. However, aligning stakeholders at different levels to convergent development is challenging and translation and adaptation of the LHS concept to fit with the existing organization is essential.

Methods

A one‐year longitudinal action research (AR) study was conducted within five psychiatric departments at the Sahlgrenska University Hospital in Gothenburg, Sweden. Translation of the LHS concept to the local circumstances within the organization was set as the aim, to both improve practice and further scientific understanding. An AR group led the practical and scholarly work and holistic data were collected, including field notes, documents, recordings, and workshops. Data were analyzed by an insider‐outsider approach.

Results

The one‐year study is described to provide insights into the process of designing a locally adapted LHS using an AR approach. Practical needs were identified and iteratively matched with theory to form a local LHS model. A conflict between top‐down and bottom‐up views on development emerged, where higher‐level management tended to prioritize uniform solutions and developers local learning. An adapted solution to balance these approaches was negotiated, consisting of a technical and an organizational part.

Conclusions

The conflict between top‐down and bottom‐up approaches for how to implement LHSs needs to be considered both in practical work to transform care organizations and in scientific studies of LHSs. The approach to translate, rather than instrumentally implement, LHSs to real‐world settings is suggested as advantageous. Furthermore, designing such endeavors as AR projects can provide excellent conditions to create LHSs that work in practice.

Clinical deployment environments: Five pillars of translational machine learning for health

Machine Learning for Health (ML4H) has demonstrated efficacy in computer imaging and other self-contained digital workflows, but has failed to substantially impact routine clinical care. This is no longer because of poor adoption of Electronic Health Records Systems (EHRS), but because ML4H needs an infrastructure for development, deployment and evaluation within the healthcare institution. In this paper, we propose a design pattern called a Clinical Deployment Environment (CDE). We sketch the five pillars of the CDE: (1) real world development supported by live data where ML4H teams can iteratively build and test at the bedside (2) an ML-Ops platform that brings the rigour and standards of continuous deployment to ML4H (3) design and supervision by those with expertise in AI safety (4) the methods of implementation science that enable the algorithmic insights to influence the behaviour of clinicians and patients and (5) continuous evaluation that uses randomisation to avoid bias but in an agile manner. The CDE is intended to answer the same requirements that bio-medicine articulated in establishing the translational medicine domain. It envisions a transition from "real-world" data to "real-world" development.

Learning health systems: A review of key topic areas and bibliometric trends

INTRODUCTION

The emergent field of learning health systems (LHSs) has been rapidly evolving as the concept continues to be embraced by researchers, managers, and clinicians. This paper reports on a scoping review and bibliometric analysis of the LHS literature to identify key topic areas and examine the influence and spread of recent research.

METHODS

We conducted a scoping review of LHS literature published between January 2016 and May 2020. The authors extracted publication data (eg, journal, country, authors, citation count, keywords) and reviewed full-texts to identify: type of study (empirical, non-empirical, or review), degree of focus (general or specific), and the reference used when defining LHSs.

RESULTS

A total of 272 publications were included in this review. Almost two thirds (65.1%) of the included articles were non-empirical and over two-thirds (68.4%) were from authors in the United States. More than half of the publications focused on specific areas, for example: oncology, cardiovascular care, and genomic medicine. Other key topic areas included: ethics, research, quality improvement, and electronic health records. We identified that definitions of the LHS concept are converging; however, many papers focused on data platforms and analytical processes rather than organisational and behavioural factors to support change and learning activities.

CONCLUSIONS

The literature on LHSs remains largely theoretical with definitions of LHSs focusing on technical processes to reuse data collected during the clinical process and embedding analysed data back into the system. A shift in the literature to empirical LHS studies with consideration of organisational and human factors is warranted.

Stakeholder perspectives on adapting and disseminating Ghana's physical activity guidelines: a qualitative study

BACKGROUND

Ghana is facing the public health "double burden" of both communicable and chronic diseases. To combat increased chronic disease prevalence, physical activity promotion efforts are necessary. The Ministry of Health (MOH) developed physical activity guidelines in 2009, but community members are unaware of the guidelines and sample activities (e.g., ballroom dancing) are not culturally appropriate. The purposes of this study were to investigate 1) dissemination of the physical activity guidelines through MOH and Ghana Health Service (GHS) and 2) culturally appropriate physical activities.

METHODS

Data were collected in urban and rural areas of Ghana through focus groups (N = 2) with community representatives and in-depth interviews (N = 15) with GHS health workers. Focus group and interview questions included recommended types of physical activity; interview questions included dissemination factors based on Diffusion of Innovations. The research team analyzed the data through an inductive, grounded theory approach.

RESULTS

Together, the focus groups and in-depth interviews generated 942 meaning units coded into themes of Physical Activity Perceptions (N = 337 meaning units), Suggested Physical Activities (N = 317), and Dissemination and Implementation Factors (N = 290). Participants had positive perceptions of physical activity but expressed concerns over individual abilities; barriers included the built environment and a lack of time. Suggested physical activities included walking, jogging, football, and dancing for adults; traditional games and football for youth, and walking and daily chores for older adults. Participants noted that guideline implementation was influenced by leadership engagement at multiple levels, relative advantage, and compatibility. Respondents suggested implementation strategies to resolve barriers, including involving partner organizations and developing an implementation plan. Participants were largely unaware of the physical activity guidelines; typical dissemination methods included written materials and the internet.

CONCLUSIONS

The results of this study suggest that physical activity guidelines should include familiar physical activities such as traditional games. Results also suggest that public health workers within GHS experience challenges in disseminating the physical activity guidelines. Adapting, disseminating, and implementing physical activity guidelines is a necessary step in increasing physical activity levels and preventing chronic diseases. These results contribute to understanding translation of physical activity policy to practice.

Use and effects of implementation strategies for practice guidelines in nursing: a systematic review

BACKGROUND

Practice guidelines can reduce variations in nursing practice and improve patient care. However, implementation of guidelines is complex and inconsistent in practice. It is unclear which strategies are effective at implementing guidelines in nursing. This review aimed to describe the use and effects of implementation strategies to facilitate the uptake of guidelines focused on nursing care.

METHODS

We conducted a systematic review of five electronic databases in addition to the Cochrane Effective Practice and Organization of Care (EPOC) Group specialized registry. Studies were included if implementation of a practice guideline in nursing and process or outcome of care provided by nurses were reported. Two reviewers independently screened studies, assessed study quality, extracted data, and coded data using the EPOC taxonomy of implementation strategies. For those strategies not included in the EPOC taxonomy, we inductively categorized these strategies and generated additional categories. We conducted a narrative synthesis to analyze results.

RESULTS

The search identified 46 papers reporting on 41 studies. Thirty-six studies used a combination of educational materials and educational meetings. Review findings show that multicomponent implementation strategies that include educational meetings, in combination with other educational strategies, report positive effects on professional practice outcomes, professional knowledge outcomes, patient health status outcomes, and resource use/expenditures. Twenty-three of the 41 studies employed implementation strategies not listed within the EPOC taxonomy, including adaptation of practice guidelines to local context (n = 9), external facilitation (n = 14), and changes to organizational policy (n = 3). These implementation strategies also corresponded with positive trends in patient, provider, and health system outcomes.

CONCLUSIONS

Nursing guideline implementation may benefit from using the identified implementation strategies described in this review, including participatory approaches such as facilitation, adaptation of guidelines, and organizational policy changes. Further research is needed to understand how different implementation strategy components work in a nursing context and to what effect. As the field is still emerging, future reviews should also explore guideline implementation strategies in nursing in quasi or non-experimental research designs and qualitative research studies.

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.

Change Management and Digital Innovations in Hospitals of Five European Countries

The objective of the paper is to evaluate the quality of systemic change management (CHM) and readiness for change in five Central European countries. The secondary goal is to identify trends and upcoming changes in the field of digital innovations in healthcare. The results show that all compared countries (regardless of their historical context) deal with similar CHM challenges with a rather similar degree of success. A questionnaire distributed to hospitals clearly showed that there is still considerable room for improvement in terms of the use of specific CHM tools. A review focused on digital innovations based on the PRISMA statement showed that there are five main directions, namely, data collection and integration, telemedicine, artificial intelligence, electronic medical records, and M-Health. In the hospital environment, there are considerable reservations in applying change management principles, as well as the absence of a systemic approach. The main factors that must be monitored for a successful and sustainable CHM include a clearly defined and widely communicated vision, early engagement of all stakeholders, precisely set rules, adaptation to the local context and culture, provision of a technical base, and a step-by-step implementation with strong feedback.

Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial

BACKGROUND

Implementing evidence into clinical practice is a key focus of healthcare improvements to reduce unwarranted variation. Dissemination of evidence-based recommendations and knowledge brokering have emerged as potential strategies to achieve evidence implementation by influencing resource allocation decisions. The aim of this study was to determine the effectiveness of these two research implementation strategies to facilitate evidence-informed healthcare management decisions for the provision of inpatient weekend allied health services.

METHODS AND FINDINGS

This multicentre, single-blinded (data collection and analysis), three-group parallel cluster randomised controlled trial with concealed allocation was conducted in Australian and New Zealand hospitals between February 2018 and January 2020. Clustering and randomisation took place at the organisation level where weekend allied health staffing decisions were made (e.g., network of hospitals or single hospital). Hospital wards were nested within these decision-making structures. Three conditions were compared over a 12-month period: (1) usual practice waitlist control; (2) dissemination of written evidence-based practice recommendations; and (3) access to a webinar-based knowledge broker in addition to the recommendations. The primary outcome was the alignment of weekend allied health provision with practice recommendations at the cluster and ward levels, addressing the adoption, penetration, and fidelity to the recommendations. The secondary outcome was mean hospital length of stay at the ward level. Outcomes were collected at baseline and 12 months later. A total of 45 clusters (n = 833 wards) were randomised to either control (n = 15), recommendation (n = 16), or knowledge broker (n = 14) conditions. Four (9%) did not provide follow-up data, and no adverse events were recorded. No significant effect was found with either implementation strategy for the primary outcome at the cluster level (recommendation versus control β 18.11 [95% CI -8,721.81 to 8,758.02] p = 0.997; knowledge broker versus control β 1.24 [95% CI -6,992.60 to 6,995.07] p = 1.000; recommendation versus knowledge broker β -9.12 [95% CI -3,878.39 to 3,860.16] p = 0.996) or ward level (recommendation versus control β 0.01 [95% CI 0.74 to 0.75] p = 0.983; knowledge broker versus control β -0.12 [95% CI -0.54 to 0.30] p = 0.581; recommendation versus knowledge broker β -0.19 [-1.04 to 0.65] p = 0.651). There was no significant effect between strategies for the secondary outcome at ward level (recommendation versus control β 2.19 [95% CI -1.36 to 5.74] p = 0.219; knowledge broker versus control β -0.55 [95% CI -1.16 to 0.06] p = 0.075; recommendation versus knowledge broker β -3.75 [95% CI -8.33 to 0.82] p = 0.102). None of the control or knowledge broker clusters transitioned to partial or full alignment with the recommendations. Three (20%) of the clusters who only received the written recommendations transitioned from nonalignment to partial alignment. Limitations include underpowering at the cluster level sample due to the grouping of multiple geographically distinct hospitals to avoid contamination.

CONCLUSIONS

Owing to a lack of power at the cluster level, this trial was unable to identify a difference between the knowledge broker strategy and dissemination of recommendations compared with usual practice for the promotion of evidence-informed resource allocation to inpatient weekend allied health services. Future research is needed to determine the interactions between different implementation strategies and healthcare contexts when translating evidence into healthcare practice.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12618000029291.

"Replanning" a Statewide Walking Program Through the Iterative Use of the Reach, Effectiveness, Adoption, Implementation, and Maintenance Framework

BACKGROUND

Interventions undergo adaptations when moving from efficacy to effectiveness trials. What happens beyond these initial steps-that is, when the "research" is over-is often unknown. The degree to which implementation quality remains high and impacts remain robust is underreported as these data are often less valued by community entities. Comprehensive and iterative evaluation is recommended to ensure robust outcomes over time.

METHODS

The reach, effectiveness, adoption, implementation, and maintenance framework was used within an assess, plan, do, evaluate, report process to determine the degree to which a statewide physical activity promotion program aligned with evidence-based core components, assess who was reached and impacts on physical activity behaviors, and make decisions for future iterations.

RESULTS

Walk Across Arkansas was adopted by a majority of delivery agents and was effective at increasing physical activity levels postprogram, but those effects were not maintained after 6 months. Future decisions included recruitment strategies to reach a more diverse population and a blueprint document to reduce program drift.

CONCLUSIONS

This article details the process of "replanning" a community-based physical activity intervention to understand public health impact and make decisions for future iterations. Pragmatic reach, effectiveness, adoption, implementation, and maintenance questions were useful throughout the assess, plan, do, evaluate, report process.

Characteristics of quality activities in a tertiary teaching hospital in Western Australia

BACKGROUND

Despite all the resourcefulness and efforts in the last 30 years for quality in healthcare, safety and quality considerations are recognized with up to 17% of total hospital activity and expenditure related to adverse events. A knowledge gap is identified in the literature that few studies have reported from a whole hospital perspective on what and how quality activities are being performed, particularly in the Australian context.

OBJECTIVE

This study aims to describe the characteristics of quality activities in a tertiary quaternary hospital in Western Australia.

METHODS

Data from the study hospital's electronic quality management system Governance, Evidence, Knowledge and Outcome between 1 January 2015 and 31 December 2019 was analysed by using descriptive and thematic methods.

RESULTS

Quality assurance (QA) accounted for 68.3% of all quality activities in the study hospital. Principal investigators of activities were mostly in clinical roles and relatively senior in their profession. Collaboration within the same profession and same team was common, but much less so across departments. The median quality cycle length measured by proposal submission to completion was 202 days, but 190 days when measured by proposal approval to completion. A majority (93.2%) of quality activities were undertaken as part of everyday business. Common issues outlined in activity reports were documentation and compliance 44.8% (n = 100), data and tool limitations 10.8% (n = 24), variation in care 9.9% (n = 22), process 9.4% (n = 21), and knowledge and awareness 9.0% (n = 20). Common recommendations to address the issues were communicating findings to relevant teams and governance committees 26.8% (n = 104), further data collection including re-audit 26.0% (n = 101), education and training 20.4% (n = 79), process review and/or development 13.9% (n = 54), and policy/guidelines review and/or development 4.4% (n = 17).

CONCLUSION

Understanding the characteristics of quality activities from a whole hospital perspective provides insights and informs discussions relating to the efficiency and effectiveness of quality activities in hospitals. Embedding quality activities into everyday business is achievable for hospitals but considerations need to occur on how to sustain staff motivation and enthusiasm by helping individuals and teams reach the ultimate goals for improvement and keeping performance monitoring as close to the real time of care as possible. There is a need to transform QA into quality improvement, with the 90-day cycle being a feasible target for QA in hospitals.

Workforce management and patient outcomes in the intensive care unit during the COVID-19 pandemic and beyond: a discursive paper

AIMS

To highlight the need for the development of effective and realistic workforce strategies for critical care nurses, in both a steady state and pandemic.

BACKGROUND

In acute care settings, there is an inverse relationship between nurse staffing and iatrogenesis, including mortality. Despite this, there remains a lack of consensus on how to determine safe staffing levels. Intensive care units (ICU) provide highly specialised complex healthcare treatments. In developed countries, mortality rates in the ICU setting are high and significantly varied after adjustment for diagnosis. The variability has been attributed to systems, patient and provider issues including the workload of critical care nurses.

DESIGN

Discursive paper.

FINDINGS

Nursing workforce is the single most influential mediating variable on ICU patient outcomes. Numerous systematic reviews have been undertaken in an effort to quantify the effect of critical care nurses on mortality and morbidity, invariably leading to the conclusion that the association is similar to that reported in acute care studies. This is a consequence of methodological limitations, inconsistent operational definitions and variability in endpoint measures. We evaluated the impact inadequate measurement has had on capturing relevant critical care data, and we argue for the need to develop effective and realistic ICU workforce measures.

CONCLUSION

COVID-19 has placed an unprecedented demand on providing health care in the ICU. Mortality associated with ICU admission has been startling during the pandemic. While ICU systems have largely remained static, the context in which care is provided is profoundly dynamic and the role and impact of the critical care nurse needs to be measured accordingly. Often, nurses are passive recipients of unplanned and under-resourced changes to workload, and this has been brought into stark visibility with the current COVID-19 situation. Unless critical care nurses are engaged in systems management, achieving consistently optimal ICU patient outcomes will remain elusive.

RELEVANCE TO CLINICAL PRACTICE

Objective measures commonly fail to capture the complexity of the critical care nurses' role despite evidence to indicate that as workload increases so does risk of patient mortality, job stress and attrition. Critical care nurses must lead system change to develop and evaluate valid and reliable workforce measures.

Using an integrated knowledge translation or other research partnership approach in trainee-led research: a scoping review protocol

INTRODUCTION

Collaborative research approaches, such as co-production, co-design, engaged scholarship and integrated knowledge translation (IKT), aim to bridge the evidence to practice and policy gap. There are multiple benefits of collaborative research approaches, but studies report many challenges with establishing and maintaining research partnerships. Researchers often do not have the opportunity to learn how to build collaborative relationships, and most graduate students do not receive formal training in research partnerships. We are unlikely to make meaningful progress in strengthening graduate and postgraduate training on working collaboratively with the health system until we have a better understanding of how students are currently engaging in research partnership approaches. In response, this scoping review aims to map and characterise the evidence related to using an IKT or other research partnership approach from the perspective of health research trainees.

METHODS AND ANALYSIS

We will employ methods described by the Joanna Briggs Institute and Arksey and O'Malley's framework for conducting scoping reviews. The reporting will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for scoping reviews checklist. We will include both published and unpublished grey literature and search the following databases: MEDLINE, Embase, CINAHL, PsycINFO, ProQuest Dissertations & Theses Global databases, Google Scholar and websites from professional bodies and other organisations. Two reviewers will independently screen the articles and extract data using a standardised data collection form. We will narratively describe quantitative data and conduct a thematic analysis of qualitative data. We will map the IKT and other research partnership activities onto the Knowledge to Action cycle and IAP2 Levels of Engagement Framework.

ETHICS AND DISSEMINATION

No ethical approval is required for this study. We will share the results in a peer-reviewed, open access publication, conference presentation and stakeholder communications.

How artificial intelligence can help us 'Choose Wisely'

The overuse of low value medical tests and treatments drives costs and patient harm. Efforts to address overuse, such as Choosing Wisely campaigns, typically rely on passive implementation strategies- a form of low reliability system change. Embedding guidelines into clinical decision support (CDS) software is a higher leverage approach to provide ordering suggestions through an interface embedded within the clinical workflow. Growth in computing power is increasingly enabling artificial intelligence (AI) to augment such decision making tools. This article offers a roadmap of opportunities for AI-enabled CDS to reduce overuse, which are presented according to a patient’s journey of care.

Is a nudge all we need to promote deliberate clinical inertia and thoughtful clinical decision making?

Deliberate clinical inertia is the art of doing nothing as a positive response. Individual clinicians can promote deliberate clinical inertia through teaching, re-framing the act of 'doing nothing' as 'doing something' and engaging in shared decision making. Behaviour change on a larger scale requires a systematic approach. Nudging is a subtle change to the decision-making context to prompt specific choices. A nudge unit is a team of relevant professionals who engage with various multidisciplinary teams within a health service who help test and implement nudge interventions in a clinical environment. A nudge unit could be used to design environments to prompt clinicians to re-think before ordering unnecessary tests or treatments. Nudge units could improve knowledge translation, support continuous quality improvement and help build a learning health system. They could also boost collaboration and empower staff to evaluate their workplace decision-making frameworks.

Red, Yellow, and Green Light Changes: Adaptations to Extension Health Promotion Programs

Extension professionals have high autonomy to adapt the programs they deliver. However, fidelity is typically not reported, so it is unknown what adaptations are made. It is also unknown whether agents have the necessary training to adapt programs while maintaining fidelity to the core components. The purpose of this study was to determine (1) adaptations that Extension agents and specialists are making to programs they deliver, (2) the reasons for making these adaptations, (3) timing of adaptations, and (4) Extension agents' and specialists' understanding of the adaptation process. Extension agents and specialists nationwide were invited to complete a survey which queried about adaptations based on the traffic light model, adaptome, and adaptation taxonomy. Specifically, the traffic light model assigns a color for adaptations: tailoring language or pictures (green), adding/substituting activities or session sequence (yellow), or deleting lessons and decreasing timeline or session length (red). Responses were received from 98 agents and 24 specialists. Most agents and specialists reported making green (85% and 79%, respectively), yellow (89% and 75%), and red light changes (81% and 58%). Agents were significantly more likely than specialists to change the age appropriateness of lessons or activities, respond to individual client needs, substitute activities, delete lessons or activities, decrease the length and/or number of sessions, and shorten the program timeline. Within green light changes, each of those that could increase cultural appropriateness (tailoring language, scenarios, and pictures) were reported by less than 50% of agents and specialists. Of the most common adaptations reported, the primary reasons for these decisions were difficulty retaining or engaging participants and lack of time/competing demands on time. Most adaptations were made before the program was delivered. Agents rated their confidence level in the program adaptation process as somewhat confident to confident. Dissemination and implementation strategies to improve program adaptation within Extension are needed, including participatory approaches, training on the adaptation process, bi-directional evidence-based program repositories, and organizational-level changes.

Knowledge Translation in Physical Medicine and Rehabilitation: A Citation Analysis of the Knowledge-to-Action Literature

OBJECTIVES

To (1) provide an overview of the use of the Knowledge-to-Action Cycle (KTA) to guide a clinical implementation project; (2) identify activities performed in each phase of the KTA; and (3) provide suggestions to improve KTA activities in physical medicine and rehabilitation.

DATA SOURCES

Google Scholar and PubMed were searched through December 31, 2019.

STUDY SELECTION

Two reviewers screened titles, abstracts, and full-text articles to identify published studies that used the KTA to implement a project.

DATA EXTRACTION

Two reviewers examined full-text articles. Data extraction included activities performed in each phase of the KTA, including measurements used to evaluate the project's effectiveness.

DATA SYNTHESIS

Commonly performed KTA activities were identified and country of study, area of rehabilitation, and other factors related to the use of the KTA in rehabilitation were described. A total of 46 articles that met the study's inclusion criteria provided an overview of the use of the KTA in rehabilitation. Strengths and weaknesses of the articles are discussed and recommendations for improved KTA use are provided.

CONCLUSIONS

Implementation of evidence-based practice requires focused engineering and efforts. This review provides an overview of the knowledge translation activities occurring in physical medicine and rehabilitation and considerations to improve knowledge translation research and practice.

Nobody ever questions-Polypharmacy in care homes: A mixed methods evaluation of a multidisciplinary medicines optimisation initiative

BACKGROUND

Nurse-led monitoring of patients for signs and symptoms associated with documented 'undesirable effects' of medicines has potential to prevent avoidable harm, and optimise prescribing.

INTERVENTION

The Adverse Drug Reaction Profile for polypharmacy (ADRe-p) identifies and documents putative adverse effects of medicines commonly prescribed in primary care. Nurses address some problems, before passing ADRe-p to pharmacists and prescribers for review, in conjunction with prescriptions.

OBJECTIVES

We investigated changes in: the number and nature of residents' problems as recorded on ADRe-p; prescription regimens; medicines optimisation: and healthcare costs. We explored aetiologies of problems identified and stakeholders' perspectives.

SETTING AND PARTICIPANTS

In three UK care homes, 19 residents completed the study, December 2018 to May 2019. Two service users, three pharmacists, six nurses gave interviews.

METHODS

This mixed-method process evaluation integrated data from residents' ADRe-ps and medicines charts, at the study's start and 5-10 weeks later.

RESULTS

We recruited three of 27 homes approached and 26 of 45 eligible residents; 19 completed ADRe-p at least twice. Clinical gains were identified for 17/19 residents (mean number of symptoms 3 SD 1.67, range 0-7). Examples included management of: pain (six residents), seizures (three), dyspnoea (one), diarrhoea (laxatives reduced, two), falls (two of five able to stand). One or more medicine was de-prescribed or dose reduced for 12/19 residents. ADRe administration and review cost ~£30 in staff time. ADRe-p helped carers and nurses bring residents' problems to the attention of prescribers.

IMPLICATIONS

ADRe-p relieved unnecessary suffering. It supported carers and nurses by providing a tool to engage with pharmacists and prescribers, and was the only observable strategy for multidisciplinary team working around medicines optimisation. ADRe-p improved care by: a) regular systematic checks and problem documentation; b) information transfer from care home staff to prescribers and pharmacists; c) recording changes.

REGISTRATION

NLM Identifier NCT03955133; ClinicalTrials.gov.

Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments

INTRODUCTION

Value-based healthcare delivery models have emerged to address the unprecedented pressure on long-term health system performance and sustainability and to respond to the changing needs and expectations of patients. Implementing and scaling the benefits from these care delivery models to achieve large-system transformation are challenging and require consideration of complexity and context. Realist studies enable researchers to explore factors beyond 'what works' towards more nuanced understanding of 'what tends to work for whom under which circumstances'. This research proposes a realist study of the implementation approach for seven large-system, value-based healthcare initiatives in New South Wales, Australia, to elucidate how different implementation strategies and processes stimulate the uptake, adoption, fidelity and adherence of initiatives to achieve sustainable impacts across a variety of contexts.

METHODS AND ANALYSIS

This exploratory, sequential, mixed methods realist study followed RAMESES II (Realist And Meta-narrative Evidence Syntheses: Evolving Standards) reporting standards for realist studies. Stage 1 will formulate initial programme theories from review of existing literature, analysis of programme documents and qualitative interviews with programme designers, implementation support staff and evaluators. Stage 2 envisages testing and refining these hypothesised programme theories through qualitative interviews with local hospital network staff running initiatives, and analyses of quantitative data from the programme evaluation, hospital administrative systems and an implementation outcome survey. Stage 3 proposes to produce generalisable middle-range theories by synthesising data from context-mechanism-outcome configurations across initiatives. Qualitative data will be analysed retroductively and quantitative data will be analysed to identify relationships between the implementation strategies and processes, and implementation and programme outcomes. Mixed methods triangulation will be performed.

ETHICS AND DISSEMINATION

Ethical approval has been granted by Macquarie University (Project ID 23816) and Hunter New England (Project ID 2020/ETH02186) Human Research Ethics Committees. The findings will be published in peer-reviewed journals. Results will be fed back to partner organisations and roundtable discussions with other health jurisdictions will be held, to share learnings.

Leaders' perspectives on learning health systems: a qualitative study

Background

Integrated utilisation of digital health data has the power to transform healthcare to deliver more efficient and effective services, and the learning health system (LHS) is emerging as a model to achieve this. The LHS uses routine data from service delivery and patient care to generate knowledge to continuously improve healthcare. The aim of this project was to explore key features of a successful and sustainable LHS to inform implementation in an Academic Health Science Centre context.

Methods

We purposively identified and conducted semi-structured qualitative interviews with leaders, experienced in supporting or developing data driven innovations in healthcare. A thematic analysis using NVivo was undertaken.

Results

Analysis of 26 interviews revealed five themes thought to be integral in an effective, sustainable LHS: (1) Systematic approaches and iterative, continuous learning with implementation into healthcare contributing to new best-practice care; (2) Broad stakeholder, clinician and academic engagement, with collective vision, leadership, governance and a culture of trust, transparency and co-design; (3) Skilled workforce, capability and capacity building; (4) Resources with sustained investment over time and; (5) Data access, systems and processes being integral to a sustainable LHS.

Conclusions

This qualitative study provides insights into the elements of a sustainable LHS across a range of leaders in data-driven healthcare improvement. Fundamentally, an LHS requires continuous learning with implementation of new evidence back into frontline care to improve outcomes. Structure, governance, trust, culture, vision and leadership were all seen as important along with a skilled workforce and sustained investment. Processes and systems to optimise access to quality data were also seen as vital in an effective, sustainable LHS. These findings will inform a co-designed framework for implementing a sustainable LHS within the Australian healthcare and Academic Health Science Centre context. It is anticipated that application of these findings will assist to embed and accelerate the use of routine health data to continuously generate new knowledge and ongoing improvement in healthcare delivery and health outcomes.

Looking for the "Little Things": A Multi-Disciplinary Approach to Medicines Monitoring for Older People Using the ADRe Resource

Advances in medicines have increased the effectiveness of treatments and the social and cultural authority of doctors. However, as prescribing has become the dominant modality of treatment, the “pharmaceuticalization” of medical practice has often resulted in treatment “at a distance”, with doctors having limited contact with patients. Older and poorer people, who are socially distanced from medical prescribers, suffer more adverse drug reactions (ADRs) than the general population. A team approach to checking patients systematically for ADRs, as detailed in manufacturers’ literature, can minimise medication errors, but regular review is rare. This paper explains the benefits of medicines monitoring to protect older patients from iatrogenic harm, such as over-sedation, falls, or drug-induced Parkinsonism. We show how multidisciplinary initiatives to optimise prescribing can be supported by using a recognised resource—the adverse drug reaction profile (ADRe). The profile identifies and documents patients’ signs and symptoms of putative ADRs. Better monitoring allows professionals to adjust prescribing and respond to identified problems with agility. Implementation of systematic monitoring will require changes to the regulatory regime and better inter-professional cooperation. Providing carers, nurses and pharmacists with a structured system to monitor patients would democratise relevant medical knowledge and help address ageism and the socio-economic health divide.

Trauma and Violence Informed Care Through Decolonising Interagency Partnerships: A Complexity Case Study of Waminda's Model of Systemic Decolonisation

Through the lens of complexity, we present a nested case study describing a decolonisation approach developed and implemented by Waminda South Coast Women’s Health and Welfare Aboriginal Corporation. Using Indigenous research methods, this case study has unfolded across three phases: (1) Yarning interviews with the workforce from four partner health services (n = 24); (2) Yarning circle bringing together key informants from yarning interviews to verify and refine emerging themes (n = 14); (3) Semi-structured interviews with a facilitator of Waminda’s Decolonisation Workshop (n = 1) and participants (n = 10). Synthesis of data has been undertaken in stages through collaborative framework and thematic analysis. Three overarching themes and eight sub-themes emerged that centred on enhancing the capabilities of the workforce and strengthening interagency partnerships through a more meaningful connection and shared decolonisation agenda that centres Aboriginal and Torres Strait Islander families and communities. Health and social services are complex systems that function within the context of colonisation. Waminda’s innovative, model of interagency collaboration enhanced workforce capability through shared language and collective learning around colonisation, racism and Whiteness. This process generated individual, organisational and systemic decolonisation to disable power structures through trauma and violence informed approach to practice.