What makes knowledge translation work in practice? Lessons from a demand-driven and locally led project in Cameroon, Jordan and Nigeria.

BACKGROUND: Over the years, the knowledge translation (KT) field has moved from promoting linearized models to embracing the importance of interaction and learning. Likewise, there is now increased attention on the transfer of KT approaches to new environments. Some scholars, however, have warned that ideas about transferability still hinge on linear thinking and doing. In the current study, we therefore sought to use a more reflexive approach to KT and to study how actors align KT approaches with their local environments. METHODS: Our (auto) ethnographic study took place in a wider KT project. This project intended to combine three components: (1) co-organizing demand-driven, locally led and embedded KT cycles in Cameroon, Jordan, and Nigeria, (2) building upon established KT methods and (3) equipping and empowering local teams. We conducted 63 semi-structured interviews with key KT actors, observed 472 h of KT practices, and collected a paper trail of documents. At the same time, we also compiled project exchanges, such as project documents, plans, protocols, field notes, meeting notes and an archive of (email) correspondence between project members. We analysed all data abductively. RESULTS: We show that there were numerous moments where the design of our project indeed enabled us to align with local practices and needs. Yet this often did not suffice, and the project design sometimes conflicted with other logics and values. By analysing these tensions, we want to show that doing KT work which acts upon different values and knowledges and is sensitive towards the different effects that it produces demands both structuring projects in a specific way and requires significant alignment work of KT actors in practice. CONCLUSIONS: We show that practising KT more reflexively relies on two important conditions. First, KT projects have to be structured with sufficient discretionary space. Second, even though the structure of a project is important, there will be continuous need for alignment work. It is important to facilitate such alignment work and to further support it. In the discussion of this paper, we therefore articulate three design principles and three sensitivities. These elements can be used to make future KT projects more reflexive and sensitive to (social) complexity.

Integrating System Dynamics and Action Research: Towards a Consideration of Normative Complexity Comment on "Insights Gained From a Re-analysis of Five Improvement Cases in Healthcare Integrating System Dynamics Into Action Research".

Holmström and co-authors argue for the value of integrating system dynamics into action research to deal with increasing complexity in healthcare. We argue that despite merits, the authors overlook the key aspect of normative complexity, which refers to the existence of multiple, often conflicting values that actors in healthcare systems have to pragmatically develop responses to in their daily practices. We argue that a better theoretical and empirical understanding of the multiplicity of values and how actors deal with value conflicts in daily practices can enrich discussions about complexity in healthcare. We introduce the alternative methodology of 'value exnovation' for action researchers to broaden the scope of system-based thinking and action research in healthcare.

Artificial intelligence in mobile health for skin cancer diagnostics at home (AIM HIGH): a pilot feasibility study.

Background: Artificial intelligence (AI)-based mobile phone apps (mHealth) have the potential to streamline care for suspicious skin lesions in primary care. This study aims to investigate the conditions and feasibility of a study that incorporates an AI-based app in primary care and evaluates its potential impact. Methods: We conducted a pilot feasibility study from November 22nd, 2021 to June 9th, 2022 with a mixed-methods design on implementation of an AI-based mHealth app for skin cancer detection in three primary care practices in the Netherlands (Rotterdam, Leiden and Katwijk). The primary outcome was the inclusion and successful participation rate of patients and general practitioners (GPs). Secondary outcomes were the reasons, facilitators and barriers for successful participation and the potential impact in both pathways for future sample size calculations. Patients were offered use of an AI-based mHealth app before consulting their GP. GPs assessed the patients blinded and then unblinded to the app. Qualitative data included observations and audio-diaries from patients and GPs and focus-groups and interviews with GPs and GP assistants. Findings: Fifty patients were included with a median age of 52 years (IQR 33.5-60.3), 64% were female, and 90% had a light skin type. The average patient inclusion rate was 4-6 per GP practice per month and 84% (n = 42) successfully participated. Similarly, in 90% (n = 45 patients) the GPs also successfully completed the study. GPs never changed their working diagnosis, but did change their treatment plan (n = 5) based on the app's assessments. Notably, 54% of patients with a benign skin lesion and low risk rating, indicated that they would be reassured and cancel their GP visit with these results (p < 0.001). Interpretation: Our findings suggest that studying implementation of an AI-based mHealth app for detection of skin cancer in the hands of patients or as a diagnostic tool used by GPs in primary care appears feasible. Preliminary results indicate potential to further investigate both intended use settings. Funding: SkinVision B.V.

Eye for an AI: More-than-seeing, fauxtomation, and the enactment of uncertain data in digital pathology.

Artificial Intelligence (AI) tools are being developed to assist with increasingly complex diagnostic tasks in medicine. This produces epistemic disruption in diagnostic processes, even in the absence of AI itself, through the datafication and digitalization encouraged by the promissory discourses around AI. In this study of the digitization of an academic pathology department, we mobilize Barad's agential realist framework to examine these epistemic disruptions. Narratives and expectations around AI-assisted diagnostics-which are inextricable from material changes-enact specific types of organizational change, and produce epistemic objects that facilitate to the emergence of some epistemic practices and subjects, but hinder others. Agential realism allows us to simultaneously study epistemic, ethical, and ontological changes enacted through digitization efforts, while keeping a close eye on the attendant organizational changes. Based on ethnographic analysis of pathologists' changing work processes, we identify three different types of uncertainty produced by digitization: sensorial, intra-active, and fauxtomated uncertainty. Sensorial and intra-active uncertainty stem from the ontological otherness of digital objects, materialized in their affordances, and result in digital slides' partial illegibility. Fauxtomated uncertainty stems from the quasi-automated digital slide-making, which complicates the question of responsibility for epistemic objects and related knowledge by marginalizing the human.

"And when will you install the new water pump?": disconcerted reflections on how to be a 'good' Global Health scholar.

BACKGROUND: While critique on Global Health is not new, recent years show a surge of criticism on the field's colonial legacy and practices specifically. Such accounts argue that despite Global Health's strive for universality and equity in health, its activities regularly produce the opposite. The epistemic privileging of Northern academics and scientific method, further augmented by how Global Health funding is arranged, paints a picture of a fragmented field in which 'doing good' has become a normatively laden and controversial term. It is specifically this controversy that we seek to unpack in this paper: what does it take to be a 'good' Global Health scholar? RESULTS: We used Helen Verran's notion of 'disconcertment' to analyse three auto-ethnographic vignettes of Robert's Global Health 'fieldwork'. We illustrate that disconcertment, a bodily and personalised experience of unease and conflicting feelings, may serve as an important diagnostic of conflicting imperatives in Global Health. Robert's fieldwork was entangled with incongruous imperatives which he constantly had to navigate through and that repeatedly produced disconcertment. The contribution that we seek to make here is that such disconcertment is not something to defuse or ignore, but to take seriously and stay with instead. CONCLUSION: Staying with the disconcertment serves as a starting point for conversations about 'doing good' in Global Health fieldwork and creates opportunity for making Global Health teaching and projects more reflexive. The paper thereby positions itself in discussions about fair collaborations between the Global North and South and our analysis offers a set of considerations that can be used by Northern scholars to critically reflect on their own role within Global Health.

Sustaining Knowledge Translation Practices: A Critical Interpretive Synthesis.

BACKGROUND: The health policy and systems research literature increasingly observes that knowledge translation (KT) practices are difficult to sustain. An important issue is that it remains unclear what sustainability of KT practices means and how it can be improved. The aim of this study was thus to identify and explain those processes, activities, and efforts in the literature that facilitate the sustaining of KT practices in health policy-making processes. METHODS: We used a critical interpretive synthesis (CIS) to review the health policy and systems research and Science and Technology Studies (STS) literature. The STS literature was included as to enrich the review with constructivist social scientific perspectives on sustainability and KT. The CIS methodology allowed for creating new theory by critically combining both literatures. We searched the literature by using PubMed, Google Scholar, Web of Science, and qualitative sampling. Searches were guided by pre-set eligibility criteria and all entries were iteratively analysed using thematic synthesis. RESULTS: Eighty documents were included. Our synthesis suggests a shift from sustainability as an end-goal towards sustaining as actors' relatively mundane work aimed at making and keeping KT practices productive. This 'sustaining work' is an interplay of three processes: (i) translating, (ii) contexting, and (iii) institutionalising. Translating refers to activities aimed at constructing and extending networks. Contexting emphasises the activities needed to create contexts that support KT practices. Institutionalising addresses how actors create, maintain, and disrupt institutions with the aim of sustaining KT practices. CONCLUSION: The 'sustaining work' perspective of our CIS emphasises KT actors' ongoing work directed at sustaining KT practices. We suggest that this perspective can guide empirical study of sustaining work and that these empirical insights, combined with this CIS, can inform training programmes for KT actors, and thereby improve the sustainability of KT practices.

Health app policy: international comparison of nine countries' approaches.

An abundant and growing supply of digital health applications (apps) exists in the commercial tech-sector, which can be bewildering for clinicians, patients, and payers. A growing challenge for the health care system is therefore to facilitate the identification of safe and effective apps for health care practitioners and patients to generate the most health benefit as well as guide payer coverage decisions. Nearly all developed countries are attempting to define policy frameworks to improve decision-making, patient care, and health outcomes in this context. This study compares the national policy approaches currently in development/use for health apps in nine countries. We used secondary data, combined with a detailed review of policy and regulatory documents, and interviews with key individuals and experts in the field of digital health policy to collect data about implemented and planned policies and initiatives. We found that most approaches aim for centralized pipelines for health app approvals, although some countries are adding decentralized elements. While the countries studied are taking diverse paths, there is nevertheless broad, international convergence in terms of requirements in the areas of transparency, health content, interoperability, and privacy and security. The sheer number of apps on the market in most countries represents a challenge for clinicians and patients. Our analyses of the relevant policies identified challenges in areas such as reimbursement, safety, and privacy and suggest that more regulatory work is needed in the areas of operationalization, implementation and international transferability of approvals. Cross-national efforts are needed around regulation and for countries to realize the benefits of these technologies.

Big Data Health Care Innovations: Performance Dashboarding as a Process of Collective Sensemaking.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/16779.

From sustainability to sustaining work: What do actors do to sustain knowledge translation platforms?

Knowledge translation platforms (KTPs) are seen as an important collaborative arrangement between researchers, policymakers, and practitioners. Yet, their 'sustainability' is a recurring issue. Several studies describe what makes KTPs sustainable, and focus on the role of institutional and contextual factors therein, yet few studies show how sustaining of KTPs is done in practice. We therefore performed an ethnographic case-study on 'sustaining work' of KTPs in Jordan, Cameroon, and Nigeria. This approach focusses on what KTP actors do to make and keep their platforms productive. We followed the KTP actors for two years and interviewed the KTP actors and their colleagues (n = 63), observed the KTPs' practices (59d), and reviewed related documents to construct thick descriptions of their practices. We collected all data between September 2017 and November 2019. Our analysis revolves around three work processes of translating, contexting, and institutionalising and shows that sustaining takes place within the platform actors' everyday work. Sustaining work, while not necessarily purposive, and without a clear ending, was crucial: the KTPs were not sustainable by themselves, but were actively sustained through the struggles and efforts of the platform actors. This move from 'sustainability as such' to sustaining work has important theoretical ramifications for understanding how KTPs work and are made to perdure. Most importantly, this requires a shift from identifying factors that make KTPs sustainable towards constructing environments in which sustaining work can be done. This includes further exploring the role of (research) projects in sustaining KTPs. Additionally, our analysis showed that the sustaining of KTPs was contingent on the capacity of platform actors to forge productive dependencies with other actors and ongoing policy or research agendas. Our analysis thereby offers a practice-based perspective that can inform capacity-building programmes for KTP actors and that can guide the actual sustaining of KTPs.

Conceptualizing the digitalization of healthcare work: A metaphor-based Critical Interpretive Synthesis.

The digitalization of healthcare work has gained center stage in academic debates spanning disciplines as diverse as medicine, sociology and STS. The different analytical interests and methodological traditions of these three strains of scholarship have, however, resulted in quite diverging approaches to this issue. Points of interest have ranged from the (disattended) promise of increased efficiency of healthcare work, to dynamics of task delegation, (re-)professionalization and (re-)distribution of invisible work, to the disruption of informal organization. Instead of studying these dynamics in practice, in this paper we foreground the potentiality for theory-making inherent in the systematic cross-contamination of different theoretical and disciplinary perspectives. We perform a Critical Interpretive Synthesis (CIS) centering the ways the digitalization of healthcare work has been investigated in recent STS, sociological and medical literature. To open up assumptions and insights intrinsic to each body of literature for scholars and practitioners in other fields, we propose here a metaphor-based variation on CIS approaches. We probe, in turn, what slime molds can teach us about STS's focus on interconnections and materiality, how we can better understand sociological analyses of invisible work exploring them through theatrical performances, and which lessons river engineering offers concerning medical scholarship's discussion of efficiency and proper healthcare work. Thinking through these metaphors, we conceptualize the digitalization of healthcare work as a phenomenon spanning, at once, the directionality of technological innovation trajectories and the open-endedness of situated changes in work practices. Based on our analysis, we propose focusing on technological scripts, and various forms of invisible work and informal organization as entry points into the study of the tension between directionality and open-endedness in the context of the digitalization of healthcare work.

Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study.

BACKGROUND: Despite the high potential of big data, their applications in health care face many organizational, social, financial, and regulatory challenges. The societal dimensions of big data are underrepresented in much medical research. Little is known about integrating big data applications in the corporate routines of hospitals and other care providers. Equally little is understood about embedding big data applications in daily work practices and how they lead to actual improvements for health care actors, such as patients, care professionals, care providers, information technology companies, payers, and the society. OBJECTIVE: This planned study aims to provide an integrated analysis of big data applications, focusing on the interrelations among concrete big data experiments, organizational routines, and relevant systemic and societal dimensions. To understand the similarities and differences between interactions in various contexts, the study covers 12 big data pilot projects in eight European countries, each with its own health care system. Workshops will be held with stakeholders to discuss the findings, our recommendations, and the implementation. Dissemination is supported by visual representations developed to share the knowledge gained. METHODS: This study will utilize a mixed-methods approach that combines performance measurements, interviews, document analysis, and cocreation workshops. Analysis will be structured around the following four key dimensions: performance, embedding, legitimation, and value creation. Data and their interrelations across the dimensions will be synthesized per application and per country. RESULTS: The study was funded in August 2017. Data collection started in April 2018 and will continue until September 2021. The multidisciplinary focus of this study enables us to combine insights from several social sciences (health policy analysis, business administration, innovation studies, organization studies, ethics, and health services research) to advance a holistic understanding of big data value realization. The multinational character enables comparative analysis across the following eight European countries: Austria, France, Germany, Ireland, the Netherlands, Spain, Sweden, and the United Kingdom. Given that national and organizational contexts change over time, it will not be possible to isolate the factors and actors that explain the implementation of big data applications. The visual representations developed for dissemination purposes will help to reduce complexity and clarify the relations between the various dimensions. CONCLUSIONS: This study will develop an integrated approach to big data applications that considers the interrelations among concrete big data experiments, organizational routines, and relevant systemic and societal dimensions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/16779.

Epistemic virtues and data-driven dreams: On sameness and difference in the epistemic cultures of data science and psychiatry.

Data science and psychiatry have diverse epistemic cultures that come together in data-driven initiatives (e.g., big data, machine learning). The literature on these initiatives seems to either downplay or overemphasize epistemic differences between the fields. In this paper, we study the convergence and divergence of the epistemic cultures of data science and psychiatry. This approach is more likely to capture where and how the cultures differ and gives insights into how practitioners from both fields find ways to work together despite their differences. We introduce the notions of "epistemic virtues" to focus on epistemic differences ethnographically, and "trading zones" to concentrate on how differences are negotiated. This leads us to the following research question: how are epistemic differences negotiated by data science and psychiatry practitioners in a hospital-based data-driven initiative? Our results are based on an ethnographic study in which we observed a Dutch psychiatric hospital department developing prediction models of patient outcomes based on machine learning techniques (September 2017 - February 2018). Many epistemic virtues needed to be negotiated, such as completeness or selectivity in data inclusion. These differences were traded locally and temporarily, stimulated by shared epistemic virtues (such as a systematic approach), boundary objects and socialization processes. Trading became difficult when virtues were too diverse, differences were enlarged by storytelling and parties did not have the time or capacity to learn about the other. In the discussion, we argue that our combined theoretical framework offers a fresh way to study how cooperation between diverse practitioners goes and where it can be improved. We make a call for bringing epistemic differences into the open as this makes a grounded discussion possible about the added value of data-driven initiatives and the role they can play in healthcare.

Perspectives of nursing professionals and older adults differ on aspects of care for older people after a nationwide improvement program.

BACKGROUND: The perspectives of nursing professionals might differ from those of older adults when it comes to care for older people. This cross-sectional study compares the views of older adults with the views of nursing professionals on the quality of care after a nationwide improvement program for care for older people was implemented (2008-2016) in the Netherlands. METHODS: Questionnaire data were used from 385 nursing professionals (response rate 51%) that were part of the Nursing Staff Panel, a nationwide representative group of nursing staff, and working in home care, hospitals or general practices. Additionally, questionnaire data were used from 73 older adults (response rate 81%) who were involved in regional networks to discuss project proposals and to represent the voice of older adults in the nationwide improvement program. Participants were asked to evaluate care for older people with regard to collaboration between healthcare organizations and with regard to the tailored service, accessibility, and quality of care within their organizations and in the region in which they lived. RESULTS: A majority of older adults (54%) and nursing professionals (61%) felt that collaboration with others had improved over the last few years. Approximately one third of the older adults stated that care for older people was tailored to fit individual needs and was accessible most of the time or always, as opposed to approximately two thirds of the professionals. Moreover, 17% older adults thought that the quality of care was good, compared with 54% of the nursing professionals. 77% of the nursing professionals and 94% of the older adults thought that improvements were still needed in care for older people, for example better integration of the different aspects of care and a more patient-centered approach. CONCLUSION: Older adults who were involved in networks of the improvement program generally gave a less positive evaluation of aspects of care for older people and its development than nursing professionals. Considering differences in the perspectives of key stakeholders is relevant for the development and evaluation of nationwide improvement programs, for a correct interpretation of findings, and for making appropriate recommendations.

Understanding each other in the medical encounter: Exploring therapists' and patients' understanding of each other's experiential knowledge through the Imitation Game.

The ability of health-care professionals to understand the lived experiences of their patients has become increasingly important but has been a difficult topic to investigate empirically because it involves two distinctive research strands: interpretative phenomenological analysis and patient-provider communication. While interpretative phenomenological analysis focuses on experiences and illness narratives of patients, but not on therapist's understanding of those, patient-provider communication surveys focus primarily on effective forms of communication without addressing the actual illness experiences of patients. There is a need for empirical research that combines both strands to investigate not only the experiences of patients but also whether professionals are able to understand these. This study combined both strands by means of a novel research method called the Imitation Game (combined with other qualitative methods). This sociological method was developed to investigate what different social groups know of each other's lifeworld. It focused on the important domain of eating disorder treatment to investigate whether therapists were able to understand the experiences of their patients and vice versa. This study provides insights into the domains in which therapists and patients were able to develop insights into each other's experiential knowledge (and where they had difficulties in doing so). The findings also implicate the high potential of the Imitation Game as an interdisciplinary research method. We propose that the Imitation Game may be particularly valuable as a 'can opener' that enables the development of in-depth, qualitative insights into the substantive themes that matter in the lifeworlds of patients and therapists.

The Potential of the Imitation Game Method in Exploring Healthcare Professionals' Understanding of the Lived Experiences and Practical Challenges of Chronically Ill Patients.

This paper explores the potential and relevance of an innovative sociological research method known as the Imitation Game for research in health care. Whilst this method and its potential have until recently only been explored within sociology, there are many interesting and promising facets that may render this approach fruitful within the health care field, most notably to questions about the experiential knowledge or 'expertise' of chronically ill patients (and the extent to which different health care professionals are able to understand this experiential knowledge). The Imitation Game can be especially useful because it provides a way to map this experiential knowledge more systematically, without falling in the dual trap of either over-relying on in-depth, but highly specific phenomenological 'insider'-approaches that are hard to generalize, or, alternatively, problematically reducing the rich life-worlds of patients to a set of indicators in a questionnaire. The main focus of this paper is theoretical and conceptual: explaining the Imitation Game method, discussing its usefulness in the health care domain, and exploring the ways in which the approach can be utilized for chronic illness care. The paper presents both a conceptual and empirical exploration of how the Imitation Game method and its underlying theoretical concepts of 'contributory expertise' and 'interactional expertise' can be transferred from the sociological realm to the field of health care, what kinds of insights can be gained from the method, which methodological issues it may raise, and what potentially fruitful research routes can be explored. I argue that the Imitation Game can be thought of as a 'social learning experiment' that simultaneously enables the participants to learn from each other's perspectives, allows researchers to explore exciting new possibilities, and also offers the tools to intervene in the practice that is being studied.

Health programs struggling with complexity: a case study of the Dutch 'PreCare' project.

This article aims to understand the effects of rationalized health programs (the basic components of which are efficiency, calculability, predictability and control) on local practices. We discuss how a successful U.S. intervention in preventive youth health care (the Nurse Family Partnership) has been translated and adapted within a Dutch setting. The Dutch version of the program is called 'PreCare'. The empirical analysis highlights the effects of rationalized health programs on local practices, in terms of the amount of work required, how local practices are disciplined, how these programs (re)draw boundaries, the 'travel expenditures' involved (and developed 'coping strategies'), and how local practices (try to) reshape the program. Our empirical analysis builds on a combination of qualitative methods. We conducted 16 semi-structured interviews with 19 people involved in the PreCare program. The majority of the interviews were conducted between July and November 2008. We also conducted an analysis of relevant documents related to the PreCare intervention and protocol. Furthermore, we observed at several meetings, including case conferences and management intervision meetings. The article makes a theoretical and practical contribution to the field. Theoretically, we show how the rationalization process is linked to a broader development of quantification and how both developments are based on a particularly modern ontology and epistemology in which what is considered 'real' and 'knowledgeable' becomes closely tied to what is measurable. The article offers a different conceptualization of rationalized health programs, one that acknowledges the need to standardize some elements, but also recognizes the need to be open and flexible toward local practices. We specifically focus on the tools that are able to deal with both the need to standardize and the need to be open toward local practices. We suggest that '(re)writing devices' are a fruitful category of tools for this purpose.

The construction of evidence-based local health policy through partnerships: Research infrastructure, process, and context in the Rotterdam 'Healthy in the City' programme.

Many authors in public health identify gaps between science, policy, and professional practice and seek to solve the problems by facilitating interactions between policymakers and researchers by creating partnership structures. Little empirical research indicates how these interactions contribute to use of research by policymakers, and under which conditions. We provide empirical information by analysing one project in an innovative partnership structure in the Netherlands. We show that although a partnership structure might facilitate interactions, it does not automatically render these interactions meaningful. To balance potential conflicts, careful issue management on a formal and informal level is needed. Partnership designs aiming to facilitate interactions between researchers and policymakers should pay attention to the role of knowledge brokers, expectations of science and policy actors, and the ways in which different perspectives can be helped to converge.