Understanding and managing uncertainty in health care: revisiting and advancing sociological contributions

Using the Constrained Disorder Principle to Navigate Uncertainties in Biology and Medicine: Refining Fuzzy Algorithms

Uncertainty in biology refers to situations in which information is imperfect or unknown. Variability, on the other hand, is measured by the frequency distribution of observed data. Biological variability adds to the uncertainty. The Constrained Disorder Principle (CDP) defines all systems in the universe by their inherent variability. According to the CDP, systems exhibit a degree of variability necessary for their proper function, allowing them to adapt to changes in their environments. Per the CDP, while variability differs from uncertainty, it can be viewed as a regulated mechanism for efficient functionality rather than uncertainty. This paper explores the various aspects of un-certainties in biology. It focuses on using CDP-based platforms for refining fuzzy algorithms to address some of the challenges associated with biological and medical uncertainties. Developing a fuzzy decision tree that considers the natural variability of systems can help minimize uncertainty. This method can reveal previously unidentified classes, reduce the number of unknowns, improve the accuracy of modeling results, and generate algorithm outputs that are more biologically and clinically relevant.

Reconfiguration of uncertainty: Introducing AI for prediction of mortality at the emergency department

The promise behind many advanced digital technologies in healthcare is to provide novel and accurate information, aiding medical experts to navigate and, ultimately, decrease uncertainty in their clinical work. However, sociological studies have started to show that these technologies are not producing straightforward objective knowledge, but instead often become associated with new uncertainties arising in unanticipated places and situations. This study contributes to the body of work by presenting a qualitative study of an Artificial Intelligence (AI) algorithm designed to predict the risk of mortality in patients discharged to home from the emergency department (ED). Through in-depth interviews with physicians working at the ED of a Swedish hospital, we demonstrate that while the AI algorithm can reduce targeted uncertainty, it simultaneously introduces three new forms of uncertainty into clinical practice: epistemic uncertainty, actionable uncertainty and ethical uncertainty. These new uncertainties require deliberate management and control, marking a shift from the physicians' accustomed comfort with uncertainty in mortality prediction. Our study advances the understanding of the recursive nature and temporal dynamics of uncertainty in medical work, showing how new uncertainties emerge from attempts to manage existing ones. It also reveals that physicians' attitudes towards, and management of, uncertainty vary depending on its form and underscores the intertwined role of digital technology in this process. By examining AI in emergency care, we provide valuable insights into how this epistemic technology reconfigures clinical uncertainty, offering significant theoretical and practical implications for the integration of AI in healthcare.

Uncertainty Work: Dealing with a Psychiatric Crisis in Two European Community Mental Health Teams

The quest for how to deal with a crisis in a community setting, with the aim of deinstitutionalizing mental health care, and reducing hospitalization and coercion, is important. In this article, we argue that to understand how this can be done, we need to shift the attention from acute moments to daily uncertainty work conducted in community mental health teams. By drawing on an empirical ethics approach, we contrast the modes of caring of two teams in Utrecht and Trieste. Our analysis shows how temporality structures, such as watchful waiting, are important in dealing with the uncertainty of a crisis.

Mitigating Health-Related Uncertainties During Pregnancy: The Role of Smart Health Monitoring Technologies

Pregnancy is a time filled with uncertainties, which can be challenging and lead to fear or anxiety for expectant parents. Health monitoring technologies that allow monitoring of the vital signs of both the mother and fetus offer a way to address health-related uncertainties. But are smart health monitoring technologies (SHMTs) actually an effective means to reduce uncertainties during pregnancy, or do they have the opposite effect? Using conceptual reasoning and phenomenological approaches grounded in existing literature, this Viewpoint explores the effects of SHMTs on health-related uncertainties during pregnancy. The argument posits that while SHMTs can alleviate some health-related uncertainties, they may also create new ones. This is particularly the case when the abundance of vital data overwhelms pregnant persons, leads to false-positive diagnoses, or raises concerns about the accuracy and analysis of data. Consequently, it is concluded that the use of SHMTs is not a cure-all for overcoming health-related uncertainties during pregnancy. Since the use of such monitoring technologies can introduce new uncertainties, it is important to carefully consider where and for what purpose they are used, use them sparingly, and promote a pragmatic approach to uncertainties.Using conceptual reasoning and phenomenological approaches grounded in existing literature, the effects of SHMTs on health-related uncertainties during pregnancy are explored. The argument posits that while SHMTs can alleviate some health-related uncertainties, they may also create new ones. This is particularly the case when the abundance of vital data overwhelms pregnant persons, leads to false-positive diagnoses, or raises concerns about the accuracy and analysis of data. Consequently, it is concluded that the use of SHMTs is not a cure-all for overcoming health-related uncertainties during pregnancy. Since the use of such monitoring technologies can introduce new uncertainties, it is important to carefully consider where and for what purpose they are used, use them sparingly, and promote a pragmatic approach to uncertainties.

Perceptions of Uncertainty in Medical Care Among Non-medical Professionals and Nurses in Japan: A Cross-Sectional Internet-Based Preliminary Survey

BACKGROUND

Medical care is impacted by uncertainty caused by various factors. The uncertainty that exists in medical care can cause patient distrust and lead to conflict. This study compared the tolerance of uncertainty in medical care between non-medical professionals and nurses.

METHODS

We conducted a cross-sectional Internet-based survey. Participants included 2,100 individuals (600 nurses and 1,500 non-medical professionals; aged ≥ 20 years) from different parts of Japan. Of these, we excluded 70 participants who were classified as non-medical professionals but were registered nurses. Finally, we analyzed data from 2,030 participants (600 nurses and 1,430 non-medical professionals). Three registered nurses and nursing researchers developed an original questionnaire on tolerance of uncertainty in medical care. Data regarding participants' characteristics (age, sex, education level, marital status, having children, population size of the residential area, medical care usage, and occupation) were obtained. We performed a one-way analysis of variance (ANOVA) to compare the data between non-medical professionals and nurses. Additionally, we employed a multiple regression model to investigate factors related to tolerance of uncertainty in medical care scores.

RESULTS

A significant portion of participants (36.7%) were aged 40-50 years (n = 745). Most were women (n = 1,210, 59.6%), and a considerable percentage were medical care users (n = 1,309, 64.5%). Non-medical professionals were less tolerant of uncertainty than nurses, and uncertainty scores were associated with medical care usage, occupation, and population size of the residential area.

CONCLUSIONS

Our findings revealed variations in perceptions of uncertainty in medical care between non-medical professionals and medical care providers. To mitigate conflicts related to medical issues, medical care providers should enhance non-medical professionals' education regarding perceptions of uncertainty in medical care.

Lived experiences of genetic diagnosis for rare disease patients: a qualitative interview study

BACKGROUND

Genetic diagnosis is often understood as a single event within the care pathway of rare disease patients. Legal, policy and ethical scholarship focusing on rare diseases and genetic information discusses questions of how to best deal with the process of genetic diagnosis and the communication of genetic information within a given health system. We co-created a research design with rare disease patients and their families in Austria to explore in-depth the experiences of genetic diagnosis for people affected by rare diseases. Our objective was to trace the whole pathway of genetic testing and understand how rare disease patients experience genetic diagnosis as part of their care pathway in the healthcare system.

RESULTS

Data was collected through in-depth semi-structured qualitative interviews with 14 patients with a suspected or diagnosed rare disease or their parents, focusing on their perception of the pathway of genetic diagnosis in Austria. This pathway included the initial triggering of genetic diagnosis, the process of testing and its immediate (communication of results, counselling) and long-term, wider aftermath. Patients missed a clear link to already established forms of care such as their primary care/treating physicians. They also advocate for an integrated and interdisciplinary care pathway.

CONCLUSIONS

Our study underscores the importance of a continuous care and communication pathway spanning from the initial genetic diagnosis process to post-test phases. It further shows the importance of exploring patients' perspectives through qualitative research methods to understand the intricate workings of public health policies and tools. Integrating genetic diagnosis into a broader care trajectory is crucial for a holistic approach to care for rare disease patients who often rely on regular interactions with the healthcare system. Achieving this holistic approach requires collaboration between experts in specific rare disease areas, primary care physicians, and support networks.

Implicit and explicit: a scoping review exploring the contribution of anthropological practice in implementation science

BACKGROUND

This study's goal is to identify the existing variation in how, why, and by whom anthropological practice is conducted as part of implementation science projects. As doctorally trained anthropologists, we sought to characterize how and why the term "ethnography" was variously applied in the implementation science literature and characterize the practice of anthropology within and across the field.

METHODS

While we follow the PRISMA-ScR checklist, we present the work with a narrative approach to accurately reflect our review process. A health services librarian developed a search strategy using subject headings and keywords for the following databases: PubMed, Embase (Elsevier), Cochrane CENTRAL (Wiley), CIHAHL (EBSCO), PsycINFO (EBSCO), Web of Science Core Collection, and Anthropology Plus (EBSCO). We focused on the practice of anthropology in implementation research conducted in a healthcare setting, in English, with no date restrictions. Studies were included if they applied one or several elements of anthropological methods in terms of study design, data collection, and/or analysis.

RESULTS

The database searches produced 3450 results combined after duplicates were removed, which were added to Rayyan for two rounds of screening by title and abstract. A total of 487 articles were included in the full-text screening. Of these, 227 were included and received data extraction that we recorded and analyzed with descriptive statistics in three main domains: (1) anthropological methods; (2) implementation science methods; and (3) study context. We found the use of characteristic tools of anthropology like ethnography and field notes are usually not systematically described but often mentioned. Further, we found that research design decisions and compromises (e.g., length of time in the field, logistics of stakeholder involvement, reconciling diverse firsthand experiences) that often impact anthropological approaches are not systematically described.

CONCLUSIONS

Anthropological work often supports larger, mixed-methods implementation projects without being thoroughly reported. Context is essential to anthropological practice and implicitly fundamental to implementation research, yet the goals of anthropology and how its practice informs larger research projects are often not explicitly stated.

Understanding the co-construction of safety in the paediatric intensive care unit: A meta-ethnography of parents' experiences

BACKGROUND

Children experiencing critical illness or injury may require admission to a paediatric intensive care unit (PICU) to receive life-sustaining or life-saving treatment. Studies have explored the experience of parents with a child in PICU but tend to focus on subgroups of children or specific healthcare systems. Therefore, we aimed to undertake a meta-ethnography to draw together the published research.

METHODS

A systematic search strategy was developed to identify qualitative studies, which had explored the experiences of parents with a critically ill child treated in a PICU. A meta-ethnography was undertaken following the structured steps of identifying the topic; undertaking a systematic search; reading the research; determining how the studies relate and translate into each other; and synthesising and expressing the results.

RESULTS

We identified 2989 articles from our search and after a systematic series of exclusions, 15 papers remaining for inclusion. We explored the original parent voices (first order) and the interpretation of the study authors (second order) to identify three third-order concepts (our interpretation of the findings), which related to technical, relational and temporal factors. These factors influenced parents' experiences, providing both barriers and facilitators to how parents and caregivers experienced the time their child was in the PICU. The dynamic and co-constructed nature of safety provided an analytical overarching frame of reference.

CONCLUSION

This synthesis demonstrates novel ways in which parents and caregivers can contribute to the vital role of ensuring a co-created safe healthcare environment for their child when receiving life-saving care within the PICU.

State of Confusion: Ohio's Restrictive Abortion Landscape and the Production of Uncertainty in Reproductive Health Care

This study examines an underexplored source of medical uncertainty: the political context of care. Since 2011, Ohio has passed over 16 abortion-restrictive laws. We know little about how this legislation affects reproductive health care outside of abortion clinics. Drawing on focus groups and interviews with genetic counselors and obstetrician-gynecologists, we examine how abortion legislation impacts their work. We find that interpretation and implementation of legislation is not straightforward and varies by institution and region of the state. An ever-changing legislative landscape combined with uneven implementation of restrictions into policy produces uncertainty in reproductive health care. We also found uncertainty about the legal consequences of abortion in restrictive contexts, with obstetrician-gynecologists reporting greater concerns given their proximity to care provision. We argue that uncertainty can result in stricter interpretations of regulations than necessitated by the law, thereby amplifying the impacts of an already restrictive context for abortion care.

The RODI mHealth app Insight: Machine-Learning-Driven Identification of Digital Indicators for Neurodegenerative Disorder Detection

Neurocognitive Disorders (NCDs) pose a significant global health concern, and early detection is crucial for optimizing therapeutic outcomes. In parallel, mobile health apps (mHealth apps) have emerged as a promising avenue for assisting individuals with cognitive deficits. Under this perspective, we pioneered the development of the RODI mHealth app, a unique method for detecting aligned with the criteria for NCDs using a series of brief tasks. Utilizing the RODI app, we conducted a study from July to October 2022 involving 182 individuals with NCDs and healthy participants. The study aimed to assess performance differences between healthy older adults and NCD patients, identify significant performance disparities during the initial administration of the RODI app, and determine critical features for outcome prediction. Subsequently, the results underwent machine learning processes to unveil underlying patterns associated with NCDs. We prioritize the tasks within RODI based on their alignment with the criteria for NCDs, thus acting as key digital indicators for the disorder. We achieve this by employing an ensemble strategy that leverages the feature importance mechanism from three contemporary classification algorithms. Our analysis revealed that tasks related to visual working memory were the most significant in distinguishing between healthy individuals and those with an NCD. On the other hand, processes involving mental calculations, executive working memory, and recall were less influential in the detection process. Our study serves as a blueprint for future mHealth apps, offering a guide for enhancing the detection of digital indicators for disorders and related conditions.

Evidencing general acceptability of open-label placebo use for tackling overtreatment in primary care: a mixed methods study

BACKGROUND

Overtreatment poses a challenge to healthcare systems due to harmful consequences of avoidable side-effects and costs. This study presents the first account for examining the feasibility of placebo use for reducing overtreatment in primary care, including whether public attitudes support the use of different placebo types in place of inappropriate prescriptions of antibiotics, antidepressants, or analgesics.

METHODS

We used a multi-study, mixed-methods design, including patient and public (PPI) consultations, focus groups (Study 1) and two pre-registered online experiments (Studies 2 and 3).

RESULTS

Study 1 (N = 16) explored everyday conceptions and practicalities of potential placebo use in the context of respiratory infections. Findings highlighted the importance of trusting doctor-patient relationships and safety-netting. Study 2 employed a randomised experiment with a representative UK sample (N = 980), investigating attitudes towards 5 different treatment options for respiratory infections: (1) blinded + pure placebo, (2) open-label + pure placebo, (3) open-label + impure placebo, (4) antibiotic treatment, and (5) no treatment. Study 2 also examined how attitudes varied based on wording and individual differences. Findings indicated general support (ηp2 = .149, large effect size) for replacing inappropriate antibiotics with open-label + impure placebos, although personal placebo acceptability was lower. Also, older people, individuals suffering from chronic illness or those showing higher levels of health anxiety appeared less amenable to placebo use. Study 3 (N = 1177) compared attitudes towards treatment options across three clinical scenarios: respiratory infection, depression and pain. Findings suggested significant differences in the acceptability of placebo options based on the clinical context. In the infection scenario, options for open-label + pure placebos, open-label + impure placebos and no treatment were rated significantly more acceptable (ηp2 = .116, medium effect size) compared to the depression and pain scenarios. Again, general support for placebos was higher than placebo acceptability for personal use.

CONCLUSIONS

Findings from PPI and three studies indicate general support for combatting overprescribing in primary care through clinical placebo use. This is an indicator for wider UK public support for a novel, behavioural strategy to target a long-standing healthcare challenge. General acceptability appears to be highest for the use of open-label + impure placebos in the context of antibiotic overprescribing.

The illusion of immediacy: on the need for human synchronization in data-intensive medicine

Medical practice is increasingly shaped by big data sets and less by patient narratives. Data-intensive medicine promises to directly connect the patients with the clinic. Instead of medical examinations taking place at bedside and discrete moments, sensor-based technologies continuously monitor a certain body parameter and automatically transfer the data via a telemedical system. Based on a qualitative study of remote cardiac monitoring, I explore how the uncoupling of processes that used to happen in one place, changes the way diagnosis is made. Using ethnographic observations and semi-structured interviews with patients and tele-nurses of two university hospitals in Switzerland, I describe remote cardiac monitoring as a data network. The perception of being constantly connected to the hospital resulted in a reassuring effect among patients and healthcare professionals. Moreover, the notion of an automatically synchronized data network led patients to expect immediate feedback from the hospital as soon as an irregularity was detected. However, it obscured the fact that although the inserted sensor monitors the heart around the clock, the data is transmitted only once a day, and the tele-nurses only work during office hours, from Monday to Friday. I call this misperception "illusion of immediacy". It takes time to accurately correlate and interpret a recorded episode with other types of data, such as the last hospital visit, comorbidities, and/or the actual situation in which the recording was made. Accordingly, tele-nurses and cardiologists play a central and privileged role in the data network. The findings highlight the importance of synchronizing the different temporalities that coexist in the patient remote monitoring data network in order to generate meaningful knowledge that ultimately leads to a diagnosis.

The development of a tool to assess medical students' non-technical skills - The Norwegian medical students' non-technical skills (NorMS-NTS)

PURPOSE

New physicians need to master non-technical skills (NTS), as high levels of NTS have been shown to increase patient safety. It has also been shown that NTS can be improved through training. This study aimed to establish the necessary NTS for Norwegian medical students to create a tool for formative and summative assessments.

METHODS

Focus group interviews were conducted with colleagues and patients of newly graduated physicians. Interviews were then analyzed using card sort methods, and the identified NTS were used to establish a framework. Focus groups commented on a prototype of an NTS assessment tool. Finally, we conducted a search of existing tools and literature. The final tool was developed based on the combined inputs.

RESULTS

We created Norwegian medical students' non-technical skills (NorMS-NTS) assessment tool containing four main categories; together comprising 13 elements and a rating scale for the NTS of the person observed.

CONCLUSIONS

The NorMS-NTS represents a purpose-made tool for assessing newly graduated physicians' NTS. It is similar to existing assessment tools but based on domain-specific user perspectives obtained through focus group interviews and feedback, integrated with results from a literature search, and with consideration of existing NTS tools.

(Re)Conceptualising 'good' proxy decision-making for research: the implications for proxy consent decision quality

People who are unable to make decisions about participating in research rely on proxies to make a decision based on their wishes and preferences. However, patients rarely discuss their preferences about research and proxies find it challenging to determine what their wishes would be. While the process of informed consent has traditionally been the focus of research to improve consent decisions, the more conceptually complex area of what constitutes 'good' proxy decision-making for research has remained unexplored. Interventions are needed to improve and support proxy decision-making for research but are hampered by a lack of understanding about what constitutes decision quality in this context. A global increase in conditions associated with cognitive impairment such as dementia has led to an urgent need for more research into these conditions. The COVID-19 pandemic and subsequent necessity to conduct research with large numbers of critically ill patients has made this need even more pressing. Much of the empirical research centres on the desire to improve decision accuracy, despite growing evidence that authenticity is more reflective of the aim of proxy decisions and concerns about the methodological flaws in authenticity-focused studies. Such studies also fail to take account of the impact of decision-making on proxies, or the considerable body of research on improving the quality of healthcare decisions. This paper reports a concept synthesis of the literature that was conducted to develop the first conceptualisation of 'good' proxy decisions about research participation. Elements of decision quality were identified across three stages of decision-making: proxy preparedness for decision-making which includes knowledge and understanding, and values clarification and preference elicitation; the role of uncertainty, decisional conflict, satisfaction and regret in the decision-making process; and preference linked outcomes and their effect. This conceptualisation provides an essential first step towards the future development of interventions to enhance the quality of proxy decision-making and ensure proxy decisions represent patients' values and preferences.

"It's okay to not know …" a qualitative exploration of faculty approaches to working with uncertainty

BACKGROUND

Whilst it is recognised that a capacity to manage uncertainty is an essential aspect of working as a healthcare professional, there is little clear guidance on how to facilitate student learning in this domain. A lack of faculty development opportunities also suggests that health professions' educators may feel ill-equipped to assist students in developing effective approaches to uncertainty. The purpose of this study was to explore a faculty development intervention designed to help educators unpack students' experiences of uncertainty, and identify attributes which may help students to manage uncertain situations.

METHODS

This qualitative study was informed by a constructivist methodological approach, where participants were encouraged to share meaning around the nature of uncertainty in health professions' education. Two 90-min faculty development sessions were held. These sessions invited participants to apply Han et al.'s taxonomy of uncertainty to role-played scenarios of student uncertainty within a focus group setting. Focus group data were collected, and examined using a two-stage, hybrid approach of deductive and inductive thematic analysis.

RESULTS

Han et al.'s taxonomy helped participants to identify multiple sources and issues of uncertainty in the role played scenarios, thus unveiling the extent of uncertainties encountered by health professions' learners. Data analysis revealed four themes overall: "Sources of uncertainty", "Issues of uncertainty", "Uncertainty attributes", and "Learning environment." Participants also contributed to a list of attributes which they considered helpful to undergraduate health professions' students in managing uncertain situations. These included an awareness of the nature of uncertainty within healthcare practice, an ability to recognise uncertainty, and adopting attitudes of adaptability, positivity, and resilience.

CONCLUSIONS

This study highlights the successful use of Han et al.'s taxonomy of uncertainty within a faculty development setting. Our findings suggest that the taxonomy is a practical and versatile tool that health professions' educators can use in shared reflections and conversations around uncertainty with students or colleagues.

Exploring Clinical Practice and Developing Clinician Self-Reflection Through Cross Self-Confrontation Methodology: An Application Within an Addiction Medicine Unit

Use of the methodology of cross self-confrontation (CSC) is limited in the field of healthcare and in the context of clinical practice. We applied this methodology within an addiction medicine unit of a university hospital, as part of an exploration of addiction-related clinical difficulties. Cross self-confrontation was used according to a 3-phase design based on video recorded clinical interviews with pairs of nurses and medical doctors. The article reports and discusses the application of CSC in a specific clinical context and illustrates the methodological process through one result. Findings suggest two major strengths of CSC in the context of clinical practice research and education: (1) the capacity to elicit tacit knowledge from daily clinical practice and (2) the ability to enhance self-reflection by questioning professionals both individually and collectively. Further use of CSC in nursing surroundings and clinical settings should be encouraged.

Training for Professional Uncertainty: Socialization of Medical Students Through the Residency Application Process

PURPOSE

Uncertainty in medical decision making is a well-described phenomenon, and numerous scholars have acknowledged and illustrated the process of training medical students to grapple with this aspect of medical practice. While clinical uncertainty has been defined previously, medical trainees face additional forms of uncertainty beyond the clinical setting that have not, as yet, been investigated empirically. One area in which uncertainty can manifest outside of the clinical setting is during professional development. Medical students face substantial stress and ambiguity throughout their training, with the residency application period representing a culmination of these pressures. Here, the authors examined medical students' experiences during the residency application period and used these findings to define training for professional uncertainty.

METHOD

In 2018-2019, 6 focus groups of fourth-year medical students were conducted exploring students' experiences during the residency application period, including but not limited to Step 2 Clinical Knowledge, away rotations, and securing letters of recommendation. The authors then used constructivist, phenomenological methods to analyze participant responses.

RESULTS

Students frequently discussed challenges they faced during the residency application period. From these conversations, 2 themes were identified: (1) professional uncertainty related to career-based advice, which resulted from mixed messaging and inadequate information, and (2) professional uncertainty related to competing responsibilities, which students experienced when determining how to allocate a limited amount of time to multiple conflicting forces.

CONCLUSIONS

These results were used to define a novel concept-training for professional uncertainty. By navigating the residency application process, students learned to face various facets of professional uncertainty that they will continue to face throughout their careers. Since uncertainty can have many negative effects, including declining performance and burnout, defining professional uncertainty and training students to grapple with it is necessary to maximize their success throughout their careers.

The beginnings of health system transformation: How Ontario Health Teams are implementing change in the context of uncertainty

PURPOSE/ SETTING

The launch of Ontario Health Teams (OHTs) by the Canadian province of Ontario in 2019 represented a milestone in the journey towards integrated care and population health management. However, early model development was riddled with uncertainty. We explore what makes transformation possible even in the context of uncertainty.

METHODS

We conducted 125 interviews with administrators, clinicians, and patient and family advisors across 12 OHTs, representatively selected across geography and leadership sector, between January to September 2020. Interviews were transcribed and thematically coded, and a Foucauldian approach informed analysis.

FINDINGS

A sense of uncertainty was identified at three levels: (a) at a cross-organizational level, policymakers were perceived as providing inadequate direction; (b) at a sectoral level, certain sectors were uncertain about participating due to historic vulnerabilities; and (c) at a professional level, physicians were uncertain about the value of the new model and their place within it. These concerns were countered by a recognition of the need for change, inclusive decision-making, and developing empathy and awareness of each other's needs. This helped unsettle traditional hierarchies and facilitate new forms of certainty.

CONCLUSION

Understanding the possibilities and challenges of this endeavour will be helpful to program implementers negotiating uncertain environments as well as to policymakers seeking to provide guidance without stymieing local innovation.

Negotiating uncertainty in clinical encounters: A narrative exploration of naturally occurring primary care consultations

Based on a narrative analysis of 20 naturally occurring clinical consultations between general practitioners and patients in England, sourced from the One in a million data archive, we explore how they conceptualize and negotiate medical and existential uncertainty. To capture the interactional element, which is often overlooked, three consultations receive special attention. While exploring the ongoing dynamics of the moment-to-moment realization of negotiations, we relate their actions to the institutionalized positions of doctor and patient. Situating their negotiations in the sociocultural context in which their interaction is embedded reveals how consultations unfold as a result of communication between two different positions in a normatively structured system. When uncertainty prevails, both patients and GPs mainly conceptualize uncertainty indirectly. By conceptualizing uncertainty indirectly and in a depersonalized manner, GPs manage to safeguard against clinical errors without compromising their authority and credibility. Contrary to medical uncertainty, which is continuously discussed, existential uncertainty usually recedes in the background. However, as our consultations unfold it becomes evident that medical and existential dimensions of uncertainty are inextricably linked. By acknowledging that clinical uncertainty is not only an epistemic concern but also an existential one, existential aspects may usefully rise to the surface.

A Baby at All Costs? Exploring the Use and Provision of Unproven Adjuvant Treatments in the Context of IVF

The year 2018 marked 40 years since the birth of Louise Brown, the first baby born as a result of pioneering in vitro fertilization (IVF) treatment. Since then, advances have seen a wide range of reproductive technologies emerge into clinical practice, including adjuvant treatments often referred to as IVF "add-ons." However, these "optional extras" have faced growing criticism, especially when they have often come at additional financial cost to the patient and have little evidence supporting their efficacy to improve pregnancy or birth rates. Despite this, according to the latest national patient survey by the Human Fertilisation and Embryology Authority, three quarters of patients who had fertility treatment in the United Kingdom in the past two years had at least one type of treatment add-on highlighting the growing demand for these interventions. This article uses a psychosocial perspective to consider the motivations behind patient and clinician behavior along with the wider societal and economic factors that may be impacting upon the increase in the use of adjuvant treatments in fertility clinics more widely. It suggests the reasons fertility patients use unproven "optional extras" are complex, with interpersonal, psychological, and social factors intertwining to generate an increase in the use of IVF add-ons.

Implementing interventions to reduce antibiotic use: a qualitative study in high-prescribing practices

BACKGROUND

Trials have shown that delayed antibiotic prescriptions (DPs) and point-of-care C-Reactive Protein testing (POC-CRPT) are effective in reducing antibiotic use in general practice, but these were not typically implemented in high-prescribing practices. We aimed to explore views of professionals from high-prescribing practices about uptake and implementation of DPs and POC-CRPT to reduce antibiotic use.

METHODS

This was a qualitative focus group study in English general practices. The highest antibiotic prescribing practices in the West Midlands were invited to participate. Clinical and non-clinical professionals attended focus groups co-facilitated by two researchers. Focus groups were audio-recorded, transcribed verbatim and analysed thematically.

RESULTS

Nine practices (50 professionals) participated. Four main themes were identified. Compatibility of strategies with clinical roles and experience - participants viewed the strategies as having limited value as 'clinical tools', perceiving them as useful only in 'rare' instances of clinical uncertainty and/or for those less experienced. Strategies as 'social tools' - participants perceived the strategies as helpful for negotiating treatment decisions and educating patients, particularly those expecting antibiotics. Ambiguities - participants perceived ambiguities around when they should be used, and about their impact on antibiotic use. Influence of context - various other situational and practical issues were raised with implementing the strategies.

CONCLUSIONS

High-prescribing practices do not view DPs and POC-CRPT as sufficiently useful 'clinical tools' in a way which corresponds to the current policy approach advocating their use to reduce clinical uncertainty and improve antimicrobial stewardship. Instead, policy attention should focus on how these strategies may instead be used as 'social tools' to reduce unnecessary antibiotic use. Attention should also focus on the many ambiguities (concerns and questions) about, and contextual barriers to, using these strategies that need addressing to support wider and more consistent implementation.