A delicate balance: how physicians manage change towards collaborative care within their institutions

Purpose

In response to the COVID-19 pandemic, in 2020–2022, the immutable and fragmented character of our healthcare system changed. Healthcare professionals and their institutional leads proved remarkably agile and managed to change toward collaborative care. The purpose of this paper is to examine experiences with collaborative practice in healthcare during the COVID-19 pandemic in two regions in the Netherlands, to explore and understand the relationship between policy and practice and the potential development of new collaborative care routines.

Design/methodology/approach

Using a methodology informed by theories that have a focus on professional working practice (so called “activity theory”) or the institutional decision-makers (discursive institutionalism), respectively, the perspective of physicians on the relationship between policy and practice was explored. Transcripts of meetings with physicians from different institutions and medical specialities about their collaborative COVID-19 care were qualitatively analysed.

Findings

The findings show how change during COVID-19 was primarily initiated from the bottom-up. Cultural-cognitive and normative forces in professional, collaborative working practice triggered the creation of new relationships and sharing of resources and capacity. The importance of top-down regulatory forces from institutional leads was less evident. Yet, both (bottom-up) professional legitimacy and (top-down) institutional support are mentioned as necessary by healthcare professionals to develop and sustain new collaborative routines.

Practical implications

The COVID-19 crisis provided opportunity to build better healthcare infrastructure by learning from the responses to this pandemic. Now is the time to find ways to integrate new ways of working initiated from the bottom-up with those longstanding ones initiated from top-down.

Originality

This paper presents a combination of theories for understanding collaboration in healthcare, which can inform future research into collaborative care initiatives.

The evolution and co-evolution of a primary care cancer research network: From academic social connection to research collaboration

Academic networks are expected to enhance scientific collaboration and thereby increase research outputs. However, little is known about whether and how the initial steps of getting to know other researchers translates into effective collaborations. In this paper, we investigate the evolution and co-evolution of an academic social network and a collaborative research network (using co-authorship as a proxy measure of the latter), and simultaneously examine the effect of individual researcher characteristics (e.g. gender, seniority or workplace) on their evolving relationships. We used longitudinal data from an international network in primary care cancer research: the CanTest Collaborative (CanTest). Surveys were distributed amongst CanTest researchers to map who knows who (the 'academic social network'). Co-authorship relations were derived from Scopus (the 'collaborative network'). Stochastic actor-oriented models were employed to investigate the evolution and co-evolution of both networks. Visualizing the development of the CanTest network revealed that researchers within CanTest get to know each other quickly and also start collaborating over time (evolution of the academic social network and collaborative network respectively). Results point to a stable and solid academic social network that is particularly encouraging towards more junior researchers; yet differing for male and female researchers (the effect of individual researcher characteristics). Moreover, although the academic social network and the research collaborations do not grow at the same pace, the benefit of creating academic social relationships to stimulate effective research collaboration is clearly demonstrated (co-evolution of both networks).

Facilitators and barriers to the implementation of improved solid fuel cookstoves and clean fuels in low-income and middle-income countries: an umbrella review

2·6 billion people rely on solid fuels for cooking or heating. Accelerating access to cleaner solutions is crucial to reduce the negative effects of solid fuel use. Despite abundant evidence on how to implement these solutions, previous attempts have been disappointing. An overview of the evidence is missing and the translation of the evidence into practice is poor. We conducted an umbrella review using eight databases to: consolidate evidence on the factors that influence the implementation of improved solid fuel cookstoves and clean fuels in low-income and middle-income countries; weigh the level of confidence in existing evidence; and develop two practical implementation strategy tools. We identified 31 relevant reviews (13 systematic reviews and 18 narrative reviews) that covered over 479 primary studies. We found 15 implementation factors supported by the highest level of evidence. Regarding improved solid fuel cookstoves, these factors included: cost; knowledge and beliefs about the innovation; and compatibility. For clean fuels these factors included: cost; knowledge and beliefs about the innovation; and external policy and incentives. The factors were synthesised into the Cleaner Cookstove Implementation Tool and the Clean Fuel Implementation Tool. These tools can be used to optimise the implementation of cleaner cooking solutions, thereby improving health, environmental, climate, and gender equity outcomes.

Factors determining development of researchers within a research network on cancer diagnosis in primary care (CanTest): an interview study

OBJECTIVES

Developing connections with other researchers in a network, learning informally through these connections and using them to reach goals, is expected to increase research capacity and strengthen performance. So far, this has not been empirically demonstrated. We assessed what and how network collaboration adds to development of researchers.

DESIGN

Exploratory qualitative study using semistructured online interviews, analysed by inductive and deductive methods. For the deductive analysis, an existing value creation framework to study informal learning in networks was used and adjusted to our context.

SETTING

The CanTest Collaborative-an international team of primary care cancer researchers working on early detection and diagnosis of cancer.

PARTICIPANTS

Sixteen primary care cancer researchers.

RESULTS

Connections with other researchers in an international network created diverse value cycles, where most outcomes were in the potential value cycle, acquiring knowledge, skills, social capital, resources and ideas. Not all potential value will be applied but many interviewees described realised as well as transformational value. In our context, the transformational value from the framework appeared to be related to other perspectives on the research process. Advancement of the network depends on opportunities, timing, role models and connections between different perspectives.

CONCLUSIONS

Focus on the factors that are relevant for network advancement will support researchers in early detection and diagnosis of cancer research patients who participate in an international network and bring sustainable change in this domain. When, subsequently, researchers in the CanTest network bring about more realised and transformational learning outcomes, this will contribute to capacity development.

How Do Care Transitions Work?: Unraveling the Working Mechanisms of Care Transition Interventions

BACKGROUND

Failure of safe care transitions after hospital discharge results in unnecessary worsening of symptoms, extended period of illness or readmission to the hospital.

OBJECTIVE

The objective of this study was to add to the understanding of the working of care transition interventions between hospital and home through unraveling the contextual elements and mechanisms that may have played a role in the success of these interventions, and by developing a conceptual model of how these components relate to each other.

RESEARCH DESIGN

This was a qualitative study using in-person, semi-structured interviews, based on realist evaluation methods.

SUBJECTS

A total of 26 researchers, designers, administrators, and/or practitioners of both current "leading" care transitions interventions and of less successful care transition intervention studies or practices.

MEASURES

The contextual elements and working mechanisms of the different care transition intervention studies or practices.

RESULTS

Three main contextual factors (internal environment, external environment, and patient population) and 7 working mechanisms (simplifiying, verifiying, connecting, translating, coaching, monitoring, and anticipating) were found to be relevant to the outcome of care transition interventions. Context, Intervention, Mechanism, and Outcome (CIMO) configurations revealed that, in response to these contextual factors, care transition interventions triggered one or several of the mechanisms, in turn generating outcomes, including a safer care transition.

CONCLUSION

We developed a conceptual model which explains the working of care transition interventions within different contexts, and believe it can help support future successful implementation of care transition interventions.

Developing a regional transmural care database: A roadmap

INTRODUCTION

In primary care health care systems, primary care physicians (PCPs) provide most basic care services, and if necessary, refer to secondary care for specialized work-up and treatment. If hospital care is required, agreement between PCPs and secondary care physicians (SCPs) on the conditions for patient referral and back-referral are considered crucial to providing high quality patient care. The regional healthcare network of Utrecht, a region in the Netherlands, developed a set of collaborative patient care agreements (CPCAs) for specific chronic conditions. Even though these CPCA are endorsed by all relevant regional health care organisations, the adoption of these agreements in practice remains substandard. In this project, through linkage of routine care data, as registered in daily practice by PCPs and SCPs, a regional transmural care database (RTD) was developed for monitoring the use of the CPCAs. Its data was transformed into' mirror data' used to support PCPs and SCPs in discussing and improving current practice and to support a learning healthcare system within the region.

METHODS

The development of the RTD is part of a larger action research project on joint care, called ZOUT (an acronym which is translated as "The right care at the right place in the Utrecht region"). The RTD includes data from three regional hospitals, and about 70 affiliated primary care practices which are united in the Julius General Practitioners Network (JGPN). These data were extracted, linked and presented in the form of mirror data, following simple methods to allow replication of our approach. CPCAs addressing transmural care for three chronic conditions were selected. Data from the primary care practices and the hospitals were linked by an independent trusted third party. This enabled relevant hospital data to be added to the primary care dataset, thereby providing transmural routine care data for individual patients.

RESULTS

During the development of the RTD, a roadmap was created including a detailed step-by-step checklist of the organizational, administrative, technical and legal arrangements which needed to be made. Legal and administrative challenges proved most challenging. Also, incompleteness of data and the impossibility to translate several agreements into extractable data limited the potential for providing a comprehensive overview of the extent to which agreements in the CPCA were adhered to in daily care.

DISCUSSION

We present a systematic, comprehensive (technical as well as practical) and reproducible roadmap to developing a regional transmural care database suitable for generating mirror data on joint transmural care between PCPs and SCPs. This approach includes all technical steps in data selection and linkage, as well as the substantive steps that need to be taken in the analysis and application of the results. The mirror data, which reflects the follow-up of agreements formulated in the CPCAs, enabled shared reflection and discussion between PCPs and SCPs. This supports the search for bottlenecks and potentialities for improving daily collaborative care, thereby showing great potential to serve a learning regional healthcare system.

Factors critical to implementation success of cleaner cooking interventions in low-income and middle-income countries: protocol for an umbrella review

INTRODUCTION

Over a third of the world's population relies on solid fuels as their primary energy source. These fuels have damaging effects on health, air quality and forest resources. Interventions to promote access to cleaner solid fuel cookstoves and clean fuels have existed for decades. However, the adoption by local communities has largely failed, which led to a waste of resources and suboptimal outcomes. Therefore, the objective of this umbrella review is to identify factors that determine implementation success for cleaner cooking interventions in low-resource settings and weigh their level of confidence in the evidence.

METHODS AND ANALYSIS

We identified systematic and narrative reviews examining factors that influence the acquisition, initial adoption or sustained use of cleaner solid fuel cookstoves and clean fuels at any scale by a literature search in PubMed, Embase, Global Health Database, Cochrane, PsycINFO, Emcare, Web of Science and CINAHL, without date or language restrictions. The search was conducted on 23 October 2017 and updated on 10 July 2019. Reviews based on qualitative, quantitative or mixed-methods studies were included and will be appraised using the Meta Quality Appraisal Tool combined with the Assessment of Multiple Systematic Reviews. Data will be extracted and factors affecting implementation will be coded using the Consolidated Framework for Implementation Research. The Grading of Recommendations Assessment, Development and Evaluation-Confidence in the Evidence from Reviews of Qualitative Research tool will be used to determine the level of confidence in the coded factors. Two researchers will independently conduct these steps.

ETHICS AND DISSEMINATION

This umbrella review does not require the approval of an ethical review board. Study results will be published in an international peer-reviewed journal. The outcomes will be converted into two practical tools: one for cleaner solid fuel cookstoves and one for clean fuels. These tools can guide the development of evidence-based implementation strategies for cleaner cooking interventions in low-income and middle-income countries to improve implementation success. These tools should be pilot-tested and promoted among regional and global initiatives.

PROSPERO REGISTRATION NUMBER

CRD42018088687.

Implementing lung health interventions in low- and middle-income countries: a FRESH AIR systematic review and meta-synthesis

The vast majority of patients with chronic respiratory disease live in low- and middle-income countries (LMICs). Paradoxically, relevant interventions often fail to be effective particularly in these settings, as LMICs lack solid evidence on how to implement interventions successfully. Therefore, we aimed to identify factors critical to the implementation of lung health interventions in LMICs, and weigh their level of evidence.

This systematic review followed Cochrane methodology and Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) reporting standards. We searched eight databases without date or language restrictions in July 2019, and included all relevant original, peer-reviewed articles. Two researchers independently selected articles, critically appraised them (using Critical Appraisal Skills Programme (CASP)/Meta Quality Appraisal Tool (MetaQAT)), extracted data, coded factors (following the Consolidated Framework for Implementation Research (CFIR)), and assigned levels of confidence in the factors (via Grading of Recommendations Assessment, Development and Evaluation-Confidence in the Evidence from Reviews of Qualitative research (GRADE-CERQual)). We meta-synthesised levels of evidence of the factors based on their frequency and the assigned level of confidence (PROSPERO:CRD42018088687).

We included 37 articles out of 9111 screened. Studies were performed across the globe in a broad range of settings. Factors identified with a high level of evidence were: 1) “Understanding needs of local users”; 2) ensuring “Compatibility” of interventions with local contexts (cultures, infrastructures); 3) identifying influential stakeholders and applying “Engagement” strategies; 4) ensuring adequate “Access to knowledge and information”; and 5) addressing “Resource availability”. All implementation factors and their level of evidence were synthesised in an implementation tool.

To conclude, this study identified implementation factors for lung health interventions in LMICs, weighed their level of evidence, and integrated the results into an implementation tool for practice. Policymakers, non-governmental organisations, practitioners, and researchers may use this FRESH AIR (Free Respiratory Evaluation and Smoke-exposure reduction by primary Health cAre Integrated gRoups) Implementation tool to develop evidence-based implementation strategies for related interventions. This could increase interventions’ implementation success, thereby optimising the use of already-scarce resources and improving health outcomes.

This systematic review and meta-synthesis shows why implementation of lung health interventions often fails in low- and middle-income countries, and it provides critical factors to prevent failure with their level of evidencehttps://bit.ly/2UYJOSa

From research to evidence-informed decision making: a systematic approach

Background

Knowledge creation forms an integral part of the knowledge-to-action framework aimed at bridging the gap between research and evidence-informed decision making. Although principles of science communication, data visualisation and user-centred design largely impact the effectiveness of communication, their role in knowledge creation is still limited. Hence, this article aims to provide researchers a systematic approach on how knowledge creation can be put into practice.

Methods

A systematic two-phased approach towards knowledge creation was formulated and executed. First, during a preparation phase the purpose and audience of the knowledge were defined. Subsequently, a developmental phase facilitated how the content is 'said' (language) and communicated (channel). This developmental phase proceeded via two pathways: a translational cycle and design cycle, during which core translational and design components were incorporated. The entire approach was demonstrated by a case study.

Results

The case study demonstrated how the phases in this systematic approach can be operationalised. It furthermore illustrated how created knowledge can be delivered.

Conclusion

The proposed approach offers researchers a systematic, practical and easy-to-implement tool to facilitate effective knowledge creation towards decision-makers in healthcare. Through the integration of core components of knowledge creation evidence-informed decision making will ultimately be optimized.

High Liver Enzyme Concentrations are Associated with Higher Glycemia, but not with Glycemic Variability, in Individuals without Diabetes Mellitus

BACKGROUND

Elevated concentrations of liver enzymes have been associated with an increased risk of developing type 2 diabetes mellitus. However, it remains unclear to which specific aspects of diurnal glucose metabolism these associate most. We aimed to investigate the associations between liver enzyme concentrations and 24 h-glucose trajectories in individuals without diabetes mellitus from three independent cohorts.

METHODS

This cross-sectional study included 436 participants without diabetes mellitus from the Active and Healthy Aging Study, the Switchbox Study, and the Growing Old Together Study. Fasting blood samples were drawn to measure gamma-glutamyltransferase (GGT), alanine transaminase, and aspartate transaminase. Measures of glycemia (e.g., nocturnal and diurnal mean glucose levels) and glycemic variability (e.g., mean amplitude of glucose excursions) were derived from continuous glucose monitoring. Analyses were performed separately for the three cohorts; derived estimates were additionally meta-analyzed.

RESULTS

After meta-analyses of the three cohorts, elevated liver enzyme concentrations, and specifically elevated GGT concentrations, were associated with higher glycemia. More specific, participants in the highest GGT tertile (GGT ≥37.9 U/L) had a 0.39 mmol/L (95% confidence interval: 0.23, 0.56) higher mean nocturnal glucose (3:00 to 6:00 a.m.) and a 0.23 mmol/L (0.10, 0.36) higher diurnal glucose (6:00 to 0:00 a.m.) than participants in the lowest GGT tertile (GGT <21.23 U/L). However, elevated liver enzyme concentrations were not associated with a higher glycemic variability.

CONCLUSION

Though elevated liver enzyme concentrations did not associate with higher glycemic variability in participants without diabetes mellitus, specifically, elevated GGT concentrations associated with higher glycemia.