Understanding the adoption dynamics of medical innovations: affordances of the da Vinci robot in the Netherlands

Infrastructuring precision medicine: Making gene therapies for rare diseases workable in practice

Long viewed by social scientists as a future imaginary, precision medicine is now materializing in many healthcare systems in the form of new diagnostic practices and novel treatment modalities, such as gene therapies. Based on an ethnographic study of the introduction of the first two clinically available in-vivo gene therapies in the Danish healthcare system, we investigate what it takes to make these therapies workable in practice. Drawing on social science literature on infrastructuring, we describe the many forms of mundane work required to fit these therapies into regulatory frameworks, political processes and daily work practices in the healthcare system. Further, we observe how the processes of infrastructuring required to introduce the gene therapies into clinical practice had transformative implications as they redistributed roles and responsibilities among clinicians, pharmacists, procurement agencies and pharmaceutical manufacturers.

Theory and evidence-base for a digital platform for the delivery of language tests during awake craniotomy and collaborative brain mapping

Objectives

Build the theoretical and evidence-base for a digital platform (map-OR) which delivers intraoperative language tests during awake craniotomy and facilitates collaborative sharing of brain mapping data.

Design

Mixed methodology study including two scoping reviews, international survey, synthesis of development guiding principles and a risk assessment using failure modes and effects analysis.

Setting

The two scoping reviews examined the literature published in the English language. International survey was completed by members of awake craniotomy teams from 14 countries.

Main outcome measures

Scoping review 1: number of technologies described for language mapping during awake craniotomy. Scoping review 2: barriers and facilitators to adopting novel technology in surgery. International survey: degree of language mapping technology penetration into clinical practice.

Results

A total of 12 research articles describing 6 technologies were included. The technologies required a range of hardware components including portable devices, virtual reality headsets and large integrated multiscreen stacks. The facilitators and barriers of technology adoption in surgery were extracted from 11 studies and mapped onto the 4 Unified Theory of Acceptance and Use of Technology constructs. A total of 37 awake craniotomy teams from 14 countries completed the survey. Of the responses, 20 (54.1%) delivered their language tests digitally, 10 (27.0%) delivered tests using cards and 7 (18.9%) used a combination of both. The most commonly used devices were tablet computers (67.7%; n=21) and the most common software used was Microsoft PowerPoint (60.6%; n=20). Four key risks for the proposed digital platform were identified, the highest risk being a software and internet connectivity failure during surgery.

Conclusions

This work represents a rigorous and structured approach to the development of a digital platform for standardized intraoperative language testing during awake craniotomy and for collaborative sharing of brain mapping data.

Trial registration number

Scoping review protocol registrations in OSF registries (scoping review 1: osf.io/su9xm; scoping review 2: osf.io/x4wsc).

Differences in influencing mechanism of clinicians' adoption behavior for liver cancer screening technology between the leading and subordinate hospitals within medical consortiums

BACKGROUND

Medical consortiums have been extensively established to facilitate the integration of health resources and bridge the technical gap among member institutions. However, some commonly appropriate technologies remain stagnant in subordinate hospitals, although they have been routinely applied in leading hospitals. Besides, the mechanism underlying differences in clinicians' adoption behavior at different levels of institutions was unknown. Therefore, this study aimed to investigate the differences in influencing mechanisms of clinicians' hepatic contrast-enhanced ultrasound technology (CEUS) utilization behavior between leading and subordinate hospitals within medical consortiums, thus providing clues for expanding effective and appropriate technologies within integrated care systems.

METHODS

A self-designed scale was developed based on the theory of planned behavior (TPB). A multistage sampling method was applied to investigate clinicians who were aware of CEUS and worked in liver disease-related departments within the sampled medical institutions. The final sample size was 289. AMOS 24.0 software was used to construct multi-group structural equation modeling (SEM) to validate the hypotheses and determine the mechanism of hepatic CEUS utilization.

RESULTS

It revealed that behavioral intention significantly influenced adoption behavior, regardless of whether it was in leading hospitals or subordinate hospitals (β = 0.283, p < 0.001). Furthermore, behavioral attitude (β = 0.361, p < 0.001) and perceived behavioral control (β = 0.582, p < 0.001) exerted significant effects on adoption behavior through behavioral intention. However, in leading hospitals, subjective norm had a significant positive effect on behavioral intention (β = 0.183, p < 0.01), while it had a significant negative impact on behavioral intention in the subordinate hospitals (β = -0.348, p < 0.01).

CONCLUSION

To effectively translate the adoption intention into actual behavior, it is recommended to elucidate the demand and facilitators involved in the process of health technology adoption across leading and subordinate hospitals. Additionally, bolstering technical support and knowledge dissemination within subordinate hospitals while harnessing the influential role of key individuals can further enhance this transformative process.

"I just wanted to speak to someone- and there was no one…": using Burden of Treatment Theory to understand the impact of a novel ATMP on early recipients

BACKGROUND

Advanced therapy medicinal products such as Chimeric antigen receptor T-cell therapy offer ground-breaking opportunities for the treatment of various cancers, inherited diseases, and chronic conditions. With development of these novel therapies continuing to increase it's important to learn from the experiences of patients who were among the first recipients of ATMPs. In this way we can improve the clinical and psychosocial support offered to early patient recipients in the future to support the successful completion of treatments and trials.

STUDY DESIGN

We conducted a qualitative investigation informed by the principles of the key informant technique to capture the experience of some of the first patients to experience CAR-T therapy in the UK. A directed content analysis was used to populate a theoretical framework informed by Burden of Treatment Theory to determine the lessons that can be learnt in supporting their care, support, and ongoing self-management.

RESULTS

A total of five key informants were interviewed. Their experiences were described within the three domains of the burden of treatment framework; (1) The health care tasks delegated to patients, Participants described the frequency of follow-up and the resources involved, the esoteric nature of the information provided by clinicians; (2) Exacerbating factors of the treatment, which notably included the lack of understanding of the clinical impacts of the treatment in the broader health service, and the lack of a peer network to support patient understanding; (3) Consequences of the treatment, in which they described the anxiety induced by the process surrounding their selection for treatment, and the feeling of loneliness and isolation at being amongst the very first recipients.

CONCLUSIONS

If ATMPs are to be successfully introduced at the rates forecast, then it is important that the burden placed on early recipients is minimised. We have discovered how they can feel emotionally isolated, clinically vulnerable, and structurally unsupported by a disparate and pressured health service. We recommend that where possible, structured peer support be put in place alongside signposting to additional information that includes the planned pattern of follow-up, and the management of discharged patients would ideally accommodate individual circumstances and preferences to minimize the burden of treatment.

Methods for Early Assessment of the Societal Value of Health Technologies: A Scoping Review and Proposal for Classification

OBJECTIVES

Early assessments of health technologies help to better align and integrate their development and assessment. Such assessments can take many forms and serve different purposes, hampering users in their selection of the most appropriate method for a specific goal. The aim of this scoping review was to structure the large set of methods according to their specific goal.

METHODS

A scoping review was conducted using PubMed and reference lists of retrieved articles, to identify review studies with a methodological focus. From the included reviews, all individual methods were listed. Based on additional literature and examples, we extracted the specific goal of each method. All goals were clustered to derive a set of subclasses and methods were grouped into these subclasses.

RESULTS

Of the 404 screened, 5 reviews were included, and 1 was added when searching reference lists. The reviews described 56 methods, of which 43 (77%) were included and classified as methods to (1) explore the nature and magnitude of the problem, (2) estimate the nature and magnitude of the expected (societal) value, (3) identify conditions for the potential value to materialize, and (4) help develop and design the type of research that is needed.

CONCLUSIONS

The wide range of methods for exploring the societal value of health technologies at an early stage of development can be subdivided into a limited number of classes, distinguishing methods according to their specific objective. This facilitates selection of appropriate methods, depending on the specific needs and aims.

Cost-utility analysis on robot-assisted and laparoscopic prostatectomy based on long-term functional outcomes

Robot-Assisted Radical Prostatectomy (RARP) is one of the standard treatment options for prostate cancer. However, controversy still exists on its added value. Based on a recent large-sample retrospective cluster study from the Netherlands showing significantly improved long-term urinary functioning after RARP compared to Laparoscopic RP (LRP), we evaluated the cost-effectiveness of RARP compared to LRP. A decision tree was constructed to measure the costs and effects from a Dutch societal perspective over a ~ 7 year time-horizon. The input was based on the aforementioned study, including patient-reported consumption of addition care and consumed care for ergonomic issues reported by surgeons. Intervention costs were calculated using a bottom-up costing analysis in 5 hospitals. Finally, a probabilistic-, one-way sensitivity- and scenario analyses were performed to show possible decision uncertainty. The intervention costs were €9964 for RARP and €7253 for LRP. Total trajectory costs were €12,078 for RARP and €10,049 for LRP. RARP showed higher QALYs compared to LRP (6.17 vs 6.11). The incremental cost-utility ratio (ICUR) was €34,206 per QALY gained, in favour of RARP. As a best-case scenario, when RARP is being centralized (> 150 cases/year), total trajectory costs decreased to €10,377 having a higher utilization, and a shorter procedure time and length of stay resulting in an ICUR of €3495 per QALY gained. RARP showed to be cost-effective compared to LRP based on data from a population-based, large scale study with 7 years of follow-up. This is a clear incentive to fully reimburse RARP, especially when hospitals provide RARP centralized.

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.

Learning curve for robotic bedside assistance for rectal cancer: application of the cumulative sum method

BACKGROUND

This investigation assesses the learning curve for dedicated bedside assistance at a facility that recently adopted robot-assisted rectal resection.

METHODS

Data from patients with rectal cancer who underwent robotic rectal resections from September 2019 through April 2020 were retrospectively analyzed. Before starting robotic surgery, we set the rule that a console surgeon would not enter the sterile field and all of those maneuvers would be left to a dedicated physician. Docking time was analyzed using the cumulative sum (CUSUM) method to evaluate the learning curve. Different phases in the learning curve were identified according to CUSUM plot configuration. A comparison was made of phases 1 and 2 combined, and phase 3.

RESULT

The procedures were performed in 30 patients. Median docking time, console time was 13 min. A total of nine patients had histories of abdominal surgery. CUSUM analysis of docking time demonstrated 3 phases. Each docking time was longer in Phase 1 (the first 3 cases) than the average docking time over the all cases. The docking time in Phase 2 (the 9 middle cases) approximated the average time over the all cases. Phase 3 (the remaining 18 cases) showed further improvement of the docking procedure and time was reduced. A comparison of Phases 1 and 2 combined, and Phase 3, revealed that Phase 3 had a significantly higher rate of history of abdominal surgery.

CONCLUSION

Docking manipulation proficiency was achieved in approximately 10 cases without the influence of surgical difficulty.

Implementation of innovative medical technologies in German inpatient care: patterns of utilization and evidence development

BACKGROUND

Innovative medical technologies are commonly associated with positive expectations. At the time of their introduction into care, there is often little evidence available regarding their benefits and harms. Accordingly, some innovative medical technologies with a lack of evidence are used widely until or even though findings of adverse events emerge, while others with study results supporting their safety and effectiveness remain underused. This study aims at examining the diffusion patterns of innovative medical technologies in German inpatient care between 2005 and 2017 while simultaneously considering evidence development.

METHODS

Based on a qualitatively derived typology and a quantitative clustering of the adoption curves, a representative sample of 21 technologies was selected for further evaluation. Published scientific evidence on efficacy/effectiveness and safety of the technologies was identified and extracted in a systematic approach. Derived from a two-dimensional classification according to the degree of utilization and availability of supportive evidence, the diffusion patterns were then assigned to the categories "Success" (widespread/positive), "Hazard" (widespread/negative), "Overadoption" (widespread/limited or none), "Underadoption" (cautious/positive), "Vigilance" (cautious/negative), and "Prudence" (cautious/limited or none).

RESULTS

Overall, we found limited evidence on the examined technologies regarding both the quantity and quality of published randomized controlled trials. Thus, the categories "Prudence" and "Overadoption" together account for nearly three-quarters of the years evaluated, followed by "Success" with 17%. Even when evidence is available, the transfer of knowledge into practice appears to be inhibited.

CONCLUSIONS

The successful implementation of safe and effective innovative medical technologies into practice requires substantial further efforts by policymakers to strengthen systematic knowledge generation and translation. Creating an environment that encourages the conduct of rigorous studies, promotes knowledge translation, and rewards innovative medical technologies according to their added value is a prerequisite for the diffusion of valuable health care.

Social media enabled interactions in healthcare: Towards a taxonomy

Healthcare users and providers increasingly utilize social media to interact with one another. For a future understanding of when and how these interactions supplement or replace offline doctor-patient interactions, it is essential to understand who interacts, about what, and how these interactions can be categorized in a taxonomy. We draw on affordance theory and employ a mixed-methods approach to study social media interactions among healthcare users and providers. We first engage in qualitative content analysis, which is followed by cluster analysis. We identify five archetypal interactions and categorize these in a taxonomy that adds to current literature on how social media is utilized in the healthcare context. We also provide a clear and systematic overview of the interactions in different social media categories that can stimulate future research regarding doctor-patient interactions. Furthermore, we identify a new and distinct type of social media enabled interaction in healthcare, namely lifestyle support, focusing on prevention.

The use of molecular biomarker tests: an interview study with healthcare providers about a molecular biomarker test for prostate cancer

Aim: Investigate why healthcare providers are not always willing to use molecular biomarker tests, even though they promise to personalize disease diagnosis and treatment. Materials & methods: We interviewed 20 Dutch urological healthcare providers to ascertain why they used or did not use SelectMDx, a biomarker test for prostate cancer. Results: Whether and how it was used differed from the developers' expectations, because users and nonusers disagreed about its perceived advantages; the scientific and clinical evidence; the advantages of MRI; and the value of PCA3 testing. Financial issues and the absence of SelectMDx in professional guidelines and hospital care pathways also hampered its use. Conclusion: Eliciting users' and nonusers' views is important to better understand how biomarker tests can be embedded in clinical practice.

Impact and Challenges of Integrating Artificial Intelligence and Telemedicine into Clinical Ophthalmology

ABSTRACT

Aging populations and worsening burden of chronic, treatable disease is increasingly creating a global shortfall in ophthalmic care provision. Remote and automated systems carry the promise to expand the scale and potential of health care interventions, and reduce strain on health care services through safe, personalized, efficient, and cost-effective services. However, significant challenges remain. Forward planning in service design is paramount to safeguard patient safety, trust in digital services, data privacy, medico-legal implications, and digital exclusion. We explore the impact and challenges facing patients and clinicians in integrating AI and telemedicine into ophthalmic care-and how these may influence its direction.

Evaluation of institutional readiness at sites within the UK NHS using a novel advanced therapy medicinal product assessment tool

Aim: This paper reports on a study to assess institutional readiness (IR) of UK National Health Service sites that form part of the Northern Alliance Advanced Therapy Treatment Centre to deliver advanced therapy medicinal products (ATMPs). The paper discusses the development of an assessment tool to support self-assessment of IR in healthcare institutions. Methods: The tool utilized criteria developed by clinicians to self-assess IR to deliver four classes of ATMP over a series of time points. Each assessment was independently analyzed and validated by independent expert groups. Results & conclusion: The collated results indicated an overall trend toward IR for all classes of ATMP. The study highlighted areas where IR is evidenced, areas where work is ongoing and areas where further work is required to achieve IR. The study also facilitated validation of the IR assessment tool.

What Promotes Surgeon Practice Change? A Scoping Review of Innovation Adoption in Surgical Practice

OBJECTIVE

The goal of this scoping review was to summarize the literature on facilitators and barriers to surgical practice change. This information can inform research to implement best practices and evaluate new surgical innovations.

BACKGROUND

In an era of accelerated innovations, surgeons face the difficult decision to either acknowledge and implement or forgo new advances. Although changing surgical practice to align with evidence is an imperative of health systems, evidence-based guidelines have not translated into consistent change. The literature on practice change is limited and has largely focused on synthesizing information on methods and trials to evaluate innovative surgical interventions. No reviews to date have grounded their analysis within an implementation science framework.

METHODS

A systematic review of the literature on surgical practice change was performed. Abstracts and full-text articles were reviewed for relevance using inclusion and exclusion criteria and data were extracted from each article. Cited facilitators and barriers were then mapped across domains within the implementation science Theoretical Domains Framework and expanded to the Capability, Opportunity, Motivation, and Behavior model.

RESULTS

Components of the Capability, Opportunity, Motivation, and Behavior model were represented across the Theoretical Domains Framework domains and acted as both facilitators and barriers to practice change depending on the circumstances. Domains that most affected surgical practice change, in order, were: opportunity (environmental context and resources and social influences), capability (knowledge and skills), and motivation (beliefs about consequences and reinforcement).

CONCLUSIONS

Practice change is predicated on a conducive environment with adequate resources, but once that is established, the surgeon's individual characteristics, including skills, motivation, and reinforcement determine the likelihood of successful change. Deficiencies in the literature underscore the need for further study of resource interventions and the role of surgical team dynamics in the adoption of innovation. A better understanding of these areas is needed to optimize our ability to disseminate and implement best practices in surgery.

Uptake and outcomes of robotic gynaecological surgery in England (2006-2018): an account of Hospital Episodes Statistics (HES)

This was a retrospective study to review the uptake and outcomes of robotic gynaecological surgery in England between 1st April 2006 and 31st March 2018, analysing Hospital Episode Statistics form National Health Service hospitals in England. Women aged 18 years and above who had elective gynaecological surgery were included and those who had undergone robotic gynaecology surgery were included. Robotic gynaecological procedures were defined as procedures that used a robotic minimal access approach for hysterectomy, adnexal surgery and urogynaecological surgery (sacrocolpopexy, sacrohysteropexy and colposuspension). Numbers of procedures were reviewed by year and mapped to the 44 NHS healthcare regions. Length of stay (nights in hospital), laparotomy (conversion during primary procedure or after return to theatre for management of complication), and 30-day emergency readmission rates were calculated by year and procedure type. Overall 527,217 elective gynaecological procedures were performed in the English NHS (1st April 2006 and 31st March 2018), of which 4384 (0.83%) were performed with robotic assistance (3864 (88%) hysterectomy, 706 (16%) adnexal surgery, 192 (4%) urogynaecological surgery). There was gradual rise in the uptake of robotic surgery but there was a marked geographical variation. Median (IQR) length of stay (LOS) was 1(1-2) night, laparotomy rate was 0.3% and 30-day emergency readmission rate was 4.7%. LOS was statistically, but not clinically, different across time. Other outcomes did not differ by year. Robotic gynaecological procedures are increasingly being used in the English NHS, predominantly for hysterectomy, although in small proportions (2.6% in the most recent study year). There was wide geographical variation in robotic uptake across England and overall, outcomes were comparable to those reported in other countries.

Internal barriers to efficiency: why disinvestments are so difficult. Identifying and addressing internal barriers to disinvestment of health technologies

Although efficiency is a core concept in health economics, its impact on health care practice still is modest. Despite an increased pressure on resource allocation, a widespread use of low-value care is identified. Nonetheless, disinvestments are rare. Why is this so? This is the key question of this paper: why are disinvestments not more prevalent and improving the efficiency of the health care system, given their sound foundation in health economics, their morally important rationale, the significant evidence for a long list of low-value care and available alternatives? Although several external barriers to disinvestments have been identified, this paper looks inside us for mental mechanisms that hamper rational assessment, implementation, use and disinvestment of health technologies. Critically identifying and assessing internal inclinations, such as cognitive biases, affective biases and imperatives, is the first step toward a more rational handling of health technologies. In order to provide accountable and efficient care we must engage in the quest against the figments of our minds; to disinvest in low-value care in order to provide high-value health care.

Biases distorting priority setting

Modern health care faces an ever widening gap between technological possibilities and available resources. To handle this challenge we have constructed elaborate systems for health policy making and priority setting. Despite such systems many health care systems provide a wide range of documented low-value care while being unable to afford emerging high-value care. Accordingly, this article sets out asking why priority setting in health care has so poor outcomes while relevant systems are well developed and readily available. It starts to identify some rational and structural explanations for the discrepancy between theoretical efforts and practical outcomes in priority setting. However, even if these issues are addressed, practical priority setting may still not obtain its goals. This is because a wide range of irrational effects is hampering priority setting: biases. By using examples from the literature the article identifies and analyses a wide range of biases indicating how they can distort priority setting processes. Overuse, underuse, and overinvestment, as well as hampered disinvestment and undermined priority setting principles are but some of the identified implications. Moreover, while some biases are operating mainly on one level, many are active on the micro, meso and on the macro level. Identifying and analyzing biases affecting priority setting is the first, but crucial, step towards improving health policy making and priority setting in health care.

How do team experience and relationships shape new divisions of labour in robot-assisted surgery? A realist investigation

Safe and successful surgery depends on effective teamwork between professional groups, each playing their part in a complex division of labour. This article reports the first empirical examination of how introduction of robot-assisted surgery changes the division of labour within surgical teams and impacts teamwork and patient safety. Data collection and analysis was informed by realist principles. Interviews were conducted with surgical teams across nine UK hospitals and, in a multi-site case study across four hospitals, data were collected using a range of methods, including ethnographic observation, video recording and semi-structured interviews. Our findings reveal that as the robot enables the surgeon to do more, the surgical assistant's role becomes less clearly defined. Robot-assisted surgery also introduces new tasks for the surgical assistant and scrub practitioner, in terms of communicating information to the surgeon. However, the use of robot-assisted surgery does not redistribute work in a uniform way; contextual factors of individual experience and team relationships shape changes to the division of labour. For instance, in some situations, scrub practitioners take on the role of supporting inexperienced surgical assistants. These changes in the division of labour do not persist when team members return to operations that are not robot-assisted. This study contributes to wider literature on divisions of labour in healthcare and how this is impacted by the introduction of new technologies. In particular, we emphasise the need to pay attention to often neglected micro-level contextual factors. This can highlight behaviours that can be promoted to benefit patient care.

Innovation, Demand, and Responsibility: Some Fundamental Questions About Health Systems Comment on "What Health System Challenges Should Responsible Innovation in Health Address? Insights From an International Scoping Review"

In this commentary on the exercise of Lehoux et al (this volume) I argue that in discussions on the current challenges of health systems, a better diagnosis of the health system is required. The cause of responsible innovation in health (RIH) requires a better understanding of the dynamics of health systems, in particular how innovation, demand, and responsibility are manifested. Innovation brings its own dynamic to the health system; demands are linked to historical and social developments; responsibility brings contestations about what counts as good healthcare. Any attempt of RIH should include such reflections.

Factors supporting and constraining the implementation of robot-assisted surgery: a realist interview study

OBJECTIVE

To capture stakeholders' theories concerning how and in what contexts robot-assisted surgery becomes integrated into routine practice.

DESIGN

A literature review provided tentative theories that were revised through a realist interview study. Literature-based theories were presented to the interviewees, who were asked to describe to what extent and in what ways those theories reflected their experience. Analysis focused on identifying mechanisms through which robot-assisted surgery becomes integrated into practice and contexts in which those mechanisms are triggered.

SETTING

Nine hospitals in England where robot-assisted surgery is used for colorectal operations.

PARTICIPANTS

Forty-four theatre staff with experience of robot-assisted colorectal surgery, including surgeons, surgical trainees, theatre nurses, operating department practitioners and anaesthetists.

RESULTS

Interviewees emphasised the importance of support from hospital management, team leaders and surgical colleagues. Training together as a team was seen as beneficial, increasing trust in each other's knowledge and supporting team bonding, in turn leading to improved teamwork. When first introducing robot-assisted surgery, it is beneficial to have a handpicked dedicated robotic team who are able to quickly gain experience and confidence. A suitably sized operating theatre can reduce operation duration and the risk of de-sterilisation. Motivation among team members to persist with robot-assisted surgery can be achieved without involvement in the initial decision to purchase a robot, but training that enables team members to feel confident as they take on the new tasks is essential.

CONCLUSIONS

We captured accounts of how robot-assisted surgery has been introduced into a range of hospitals. Using a realist approach, we were also able to capture perceptions of the factors that support and constrain the integration of robot-assisted surgery into routine practice. We have translated these into recommendations that can inform future implementations of robot-assisted surgery.

Working towards clinical effectiveness-a multi-disciplinary approach to robotic surgery

The importance of a multi-disciplinary team (MDT) approach to conventional surgical techniques has strong empirical support. The MDT approach to robotic-assisted surgery (RAS) has not been clearly defined, which encourages prospectively poor MDT performance. Poor performance of the MDT approach, allied to the constant evolution of technology-assisted surgery, can generate unacceptable operative and patient outcomes. This review offers a nursing perspective to the complex paradigm of thoracic RAS, demonstrating key indicators to perioperative MDT engagement. This will be achieved by offering a rationale for RAS in pulmonary resection, identifying additional surgeries where utility is demonstrated. Evaluation of the available evidence will synthesize clinical quality indicators, while key strategies in effective MDT development can be summarised. Conclusively, bespoke and experiential knowledge will be shared, based upon the investigatory findings discussed throughout this article. Allied to a recommended developmental framework, this perspective should allow for transfer of knowledge, creation and replication of useful interventions. Lung cancer is an ever-increasing global concern, currently being the co-modal cancer with an estimated 2.09 million cases worldwide. Populations are ageing and with annual global costs of at least $1.16 trillion, effective treatments are required. RAS shows promise in treating large and complex lesions when compared to a video-assisted thoracoscopic surgery (VATS) approach. A critical indicator being enhanced vision and dexterity in comparison to a VATS approach. Economically, RAS has proven to be an expensive technique, however, when initial purchase costs are excluded, intra-operatively, there are ways to narrow the expense gap and make RAS cheaper. When assessing per hospital stay, exclusive of initial purchase cost, RAS is found to be cheaper than open thoracotomy. This article demonstrates that RAS for pulmonary resection has utility for complex lesions where a VATS approach would be unsuitable. Crucially, as with all complex surgery, the MDT must be performed effectively for optimum patient outcomes.

When the Evidence Basis Breeds Controversies: Exploring the Value Profile of Robotic Surgery Beyond the Early Introduction Phase

This article investigates qualitatively the value profile of the da Vinci® surgical robot after almost two decades of extensive clinical use and research. We aimed to understand whether the swiftly growing body of published studies on robotic prostate surgery can now, that is, beyond an early stage, guide decisions on the acquisition, procurement, and public provision of this innovation. We explored both published studies and the perspectives of diverse stakeholders in the Netherlands. Both arenas represent conflicting, often polarised arguments on the (added) value of da Vinci surgery. What was unclear a decade ago due to lack of evidence is now unclear because of controversies about evidence. The article outlines controversial value issues and indicates the unlikelihood that awaiting more research - amid the mantra "further studies are needed" - will resolve the controversy. The study underscores multi-stakeholder deliberation to resolve controversies regarding the value of advanced medical innovations.

From Health Technology Assessment to Health Technology Sustainability

This paper aims to propose a methodological lens to the assessment of technological innovations in healthcare based on the principles of social, economic, and political sustainability. Starting from the consideration of a lack of a unified interpretative framework of health technology assessment, using a content analysis of the relevant literature on the topic, we identified both the scientific perspectives adopted by the scholars and the most widely discussed topics. Consequently, the less explored scientific areas were framed, and, therefore, those more susceptible to further investigation came to light. The result is an overall picture which highlights the absence of unified and generally accepted approaches to evaluation, together with the lack of awareness on the fact that the multiplicity of methods adopted is essentially connected to the multiplicity of innovations, for each of which a method (or a set of methods) of preferable evaluation can be prefigured. Based on these observations, we propose a general reference framework for evaluation, based on the Viable Systems Approach (vSa), and a schematic outline of the connections between the complexity of innovations and the evaluation methodologies.

Anticipating the clinical adoption of regenerative medicine: building institutional readiness in the UK

This perspective paper examines the challenges of implementing regenerative medicine (RM) therapies within hospitals and clinics. Drawing on recent work in the social sciences, the paper highlights dynamics within existing healthcare systems that will present both hindrances and affordances for the implementation of new RM technologies within hospitals and clinics. The paper argues that identifying suitable locations for cell- and gene-therapy treatment centers requires an assessment of their institutional readiness for RM. Some provisional criteria for assessing institutional readiness are outlined, and the paper will suggest that it is necessary to begin developing a program for the phased introduction of RM in the longer term.

Effect of patient choice and hospital competition on service configuration and technology adoption within cancer surgery: a national, population-based study

Background

There is a scarcity of evidence about the role of patient choice and hospital competition policies on surgical cancer services. Previous evidence has shown that patients are prepared to bypass their nearest cancer centre to receive surgery at more distant centres that better meet their needs. In this national, population-based study we investigated the effect of patient mobility and hospital competition on service configuration and technology adoption in the National Health Service (NHS) in England, using prostate cancer surgery as a model.

Methods

We mapped all patients in England who underwent radical prostatectomy between Jan 1, 2010, and Dec 31, 2014, according to place of residence and treatment location. For each radical prostatectomy centre we analysed the effect of hospital competition (measured by use of a spatial competition index [SCI], with a score of 0 indicating weakest competition and 1 indicating strongest competition) and the effect of being an established robotic radical prostatectomy centre at the start of 2010 on net gains or losses of patients (difference between number of patients treated in a centre and number expected based on their residence), and the likelihood of closing their radical prostatectomy service.

Findings

Between Jan 1, 2010, and Dec 31, 2014, 19 256 patients underwent radical prostatectomy at an NHS provider in England. Of the 65 radical prostatectomy centres open at the start of the study period, 23 (35%) had a statistically significant net gain of patients during 2010–14. Ten (40%) of these 23 were established robotic centres. 37 (57%) of the 65 centres had a significant net loss of patients, of which two (5%) were established robotic centres and ten (27%) closed their radical prostatectomy service during the study period. Radical prostatectomy centres that closed were more likely to be located in areas with stronger competition (highest SCI quartile [0·87–0·92]; p=0·0081) than in areas with weaker competition. No robotic surgery centre closed irrespective of the size of net losses of patients. The number of centres performing robotic surgery increased from 12 (18%) of the 65 centres at the beginning of 2010 to 39 (71%) of 55 centres open at the end of 2014.

Interpretation

Competitive factors, in addition to policies advocating centralisation and the requirement to do minimum numbers of surgical procedures, have contributed to large-scale investment in equipment for robotic surgery without evidence of superior outcomes and contributed to the closure of cancer surgery units. If quality performance and outcome indicators are not available to guide patient choice, these policies could threaten health services' ability to deliver equitable and affordable cancer care.

Funding

National Institute for Health Research.

A realist process evaluation of robot-assisted surgery: integration into routine practice and impacts on communication, collaboration and decision-making

Background

The implementation of robot-assisted surgery (RAS) can be challenging, with reports of surgical robots being underused. This raises questions about differences compared with open and laparoscopic surgery and how best to integrate RAS into practice.

Objectives

To (1) contribute to reporting of the ROLARR (RObotic versus LAparoscopic Resection for Rectal cancer) trial, by investigating how variations in the implementation of RAS and the context impact outcomes; (2) produce guidance on factors likely to facilitate successful implementation; (3) produce guidance on how to ensure effective teamwork; and (4) provide data to inform the development of tools for RAS.

Design

Realist process evaluation alongside ROLARR. Phase 1 – a literature review identified theories concerning how RAS becomes embedded into practice and impacts on teamwork and decision-making. These were refined through interviews across nine NHS trusts with theatre teams. Phase 2 – a multisite case study was conducted across four trusts to test the theories. Data were collected using observation, video recording, interviews and questionnaires. Phase 3 – interviews were conducted in other surgical disciplines to assess the generalisability of the findings.

Findings

The introduction of RAS is surgeon led but dependent on support at multiple levels. There is significant variation in the training provided to theatre teams. Contextual factors supporting the integration of RAS include the provision of whole-team training, the presence of handpicked dedicated teams and the availability of suitably sized operating theatres. RAS introduces challenges for teamwork that can impact operation duration, but, over time, teams develop strategies to overcome these challenges. Working with an experienced assistant supports teamwork, but experience of the procedure is insufficient for competence in RAS and experienced scrub practitioners are important in supporting inexperienced assistants. RAS can result in reduced distraction and increased concentration for the surgeon when he or she is supported by an experienced assistant or scrub practitioner.

Conclusions

Our research suggests a need to pay greater attention to the training and skill mix of the team. To support effective teamwork, our research suggests that it is beneficial for surgeons to (1) encourage the team to communicate actions and concerns; (2) alert the attention of the assistant before issuing a request; and (3) acknowledge the scrub practitioner’s role in supporting inexperienced assistants. It is beneficial for the team to provide oral responses to the surgeon’s requests.

Limitations

This study started after the trial, limiting impact on analysis of the trial. The small number of operations observed may mean that less frequent impacts of RAS were missed.

Future work

Future research should include (1) exploring the transferability of guidance for effective teamwork to other surgical domains in which technology leads to the physical or perceptual separation of surgeon and team; (2) exploring the benefits and challenges of including realist methods in feasibility and pilot studies; (3) assessing the feasibility of using routine data to understand the impact of RAS on rare end points associated with patient safety; (4) developing and evaluating methods for whole-team training; and (5) evaluating the impact of different physical configurations of the robotic console and team members on teamwork.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Totally robotic vs 3D laparoscopic colectomy: A single centers preliminary experience

AIM: To compare robotic and three-dimensional (3D) laparoscopic colectomy based on the literature and our preliminary experience.

METHODS: This retrospective observational study compared operative measures and postoperative outcomes between laparoscopic 3D and robotic colectomy for cancer. From September 2013 to September 2014, 24 robotic colectomies and 23 3D laparoscopic colectomy were performed at our Department. Data were analyzed and reported both by approach and by colectomy side. Robotic left colectomy (RL) vs laparoscopic 3D left colectomy (LL 3D) and Robotic right colectomy (RR) vs laparoscopic 3D (LR 3D). Rectal cancer procedures were not included.

RESULTS: There were 18 RR and 11 LR 3D, 6 RL and 12 LL 3D. As regards LR 3D, extracorporeal anastomosis (EA) was performed in 7 patients and intracorporeal anastomosis (IA) in 4; the RR group included 14 IA and 4 EA. There was no mortality. Median operative time was higher for the robotic group while conversion rate (12.5% vs 13%) and lymph nodes removed (14 vs 13) were similar for both. First flatus time was 1 d for RR and 2 d the other patient groups. Oral intake was resumed in 1 d by LR and in 2 d by the other patients (P = 0.012). Overall cost was €4950 and €1950 for RL and LL 3D, and €4450 and €1450 for RR and LR 3D, respectively.

CONCLUSION: There were no differences between RR and LR 3D, except that IA was easier with RR, and probably contributed with the learning curve to the longer operative time recorded. Both techniques offer similar advantages for the patient with significantly different costs. In left colectomies robotic colectomy provided better outcomes, especially in resections approaching the rectum.