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. 2024 Jan 24;8(1):zrad141. doi: 10.1093/bjsopen/zrad141

Surgeon views regarding the adoption of a novel surgical innovation into clinical practice: systematic review

Nagarjun N Konda 1,2, Thomas L Lewis 3, Hugh N Furness 4, George W Miller 5, Andrew J Metcalfe 6,7,, David R Ellard 8,9
PMCID: PMC10807848  PMID: 38266120

Abstract

Background

The haphazard adoption of new surgical technologies into practice has the potential to cause patient harm and there are many misconceptions in the decision-making behind the adoption of new innovations. The aim of this study was to synthesize factors affecting a surgeon’s decision to adopt a novel surgical innovation into clinical practice.

Methods

A systematic literature search was performed to obtain all studies where surgeon views on the adoption of a novel surgical innovation into clinical practice have been collected. The databases screened were MEDLINE, Embase, Science Direct, Scopus, the Web of Science, and the Cochrane Library of Systematic Reviews (last accessed October 2022). Innovations covered multiple specialties, including cardiac, general, urology, and orthopaedics. The quality of the papers was assessed using a 10-question Critical Appraisal Skills Programme (CASP) tool for qualitative research.

Results

A total of 26 studies (including 1112 participants, of which 694 were surgeons) from nine countries satisfied the inclusion and exclusion criteria. Types of study included semi-structured interviews and focus groups, for example. Themes and sub-themes that emerged after a thematic synthesis were categorized using five causal factors (structural, organizational, patient-level, provider-level, and innovation-based). These themes were further split into facilitators and barriers. Key facilitators to adoption of an innovation include improved clinical outcomes, cost-effectiveness, and support from internal and external stakeholders. Barriers to adoption include lack of organizational support and views of senior surgeons.

Conclusion

There are multiple complex factors that dynamically interact, affecting the adoption of a novel surgical innovation into clinical practice. There is a need to further investigate surgeon and other stakeholder views regarding the strength of clinical evidence required to support the widespread adoption of a surgical innovation into clinical practice.


Factors affecting the adoption of surgical innovations into healthcare are not well understood. The aim of this systematic review was to identify surgeons’ views regarding the factors that affect the adoption of effective novel surgical innovations into clinical practice. This may facilitate increased adoption of surgical practice with improved health provision for patients.

Introduction

The introduction of novel surgical innovations into clinical practice has helped contribute to significant improvements in the duration and quality of patients’ lives1. Innovation in surgery has led to new instruments, equipment, and operative procedures that contribute to reduced morbidity and mortality2,3. Examples include robotic procedures and the integration of three-dimensional printing for operative planning. Surgeons often adopt new technologies into practice, despite poor evidence regarding the efficacy of an innovation4. The haphazard adoption of innovative surgical technologies without proper evaluation has the potential to cause significant harm to patients1.

Previous discredited innovative technologies that have caused harm include transvaginal mesh, which resulted in a high number of litigation cases due to mesh erosion, infection, and dyspareunia, and metal-on-metal hip prostheses5,6. The idea, development, exploration, assessment, long-term study (IDEAL) framework provides a set of recommendations for how evaluation should be conducted at each stage of the surgical innovation process1,7. Previous research has shown uptake of the IDEAL framework to be slow or followed incorrectly, and adoption of surgical innovations still happens on an ad hoc basis, with no barriers to a unit adopting a new or untested technique based on scientific evidence4,8.

Chaudoir et al.9 identified five causal factors (structural, organizational, patient-level, provider-level, and innovation-based) that predict the diffusion and sustainability of health innovations. It has been shown that the interplay and dynamic relationship between individual factors will lead to variation in the rate of adoption of an innovation into clinical practice. Innovations that are more complex are less likely to be successfully adopted, scaled up, and sustained. This has led to alternative framework proposals to help predict and evaluate the success of a technology-supported health or social care programme, although there is limited evidence regarding the adoption of surgical innovations10.

The aim of this systematic review was to explore and synthesize the qualitative evidence concerning surgeon views regarding the adoption of a novel surgical innovation (specifically chosen due to the role of surgeons in the decision to adopt a novel surgical innovation that has been highlighted in the literature). It will provide deeper insights into the adoption, implementation, and diffusion of surgical innovations. Such information may guide further research and may also identify areas where better systems, policies, or education could improve the safe introduction of new procedures and technologies into practice.

Methods

The full details of the methods can be found in the protocol paper11, which was prospectively written in line with PRISMA-P guidelines12. A systematic review of qualitative research was performed following PRISMA guidelines13. The systematic review was prospectively registered on PROSPERO, the international prospective register of systematic reviews (CRD42017076715)14. Reporting of this review was guided by the Enhancing Transparency in Reporting the Synthesis of Qualitative Research (ENTREQ) framework15.

Literature search

A systematic search of six electronic databases was conducted (MEDLINE, Embase, Scopus, the Web of Science, OpenGrey and the Cochrane Library of Systematic Reviews). Searches were conducted from inception until September 2017 and updated in October 2022. The full detailed search strategy is available in Table S1. Figure 1 is a PRISMA diagram demonstrating the study selection and data extraction process. Initially, titles and abstracts were screened independently by at least two reviewers (N.N.K. and T.L.L.). Any disagreement was referred to a third reviewer. Screening and extraction of data records was managed using Covidence—a web-based systematic review manager16. Ineligible articles were removed and the full text of all potentially relevant articles was retrieved and reviewed for eligibility by two independent authors (N.N.K. and T.L.L.).

Fig. 1.

Fig. 1

PRISMA flow diagram

IDEAL, idea, development, exploration, assessment, long-term study.

Study selection

Studies that included qualitative methods (for example, interviews, focus groups, and open-ended questionnaires) were included. For the purposes of this review, the definition of surgical innovation utilized by the IDEAL framework was used, which describes an innovative procedure in surgery as ‘a new or modified surgical procedure that differs from currently accepted local practice, the outcomes of which have not been described, and which may entail risk to the patient’17.

Inclusion criteria

Studies were only included if they met the following inclusion criteria: a report on the adoption of a novel innovation into clinical practice; the innovation described met the IDEAL framework definition of a surgical innovation17; included the views of at least one surgeon in the qualitative analysis; the innovation was considered novel at the time of investigation; and English language only.

The exclusion criteria included: studies that were quantitative in nature; and studies with closed-ended questionnaires. Studies related to innovations in the field of dentistry and data published in abstract form only were specifically excluded.

Quality assessment

The quality of the papers was assessed using a 10-question Critical Appraisal Skills Programme (CASP) tool18 for qualitative research19,20. Studies were grouped into low (0–3 points), medium (4–7 points), and high (8–10 points) quality. Low-quality studies were not excluded, but caution was taken when interpreting their results.

Data extraction and analysis

This qualitative systematic review utilized a thematic synthesis (a type of narrative synthesis)21,22. Qualitative data from mixed-method studies were screened for inclusion and included if the qualitative component was relevant and reported separately. Three authors (N.K.K., T.L.L., and H.N.F.) independently examined each line of each study’s findings to create codes that described meaning and content. Findings were sought throughout each study, not just from the Results sections.

Results

Adoption of surgical innovations was often described in terms of facilitators and barriers, so study findings are broadly categorized under these headings. The facilitators were captured into 22 sub-themes and the barriers into 17 sub-themes. These themes were similar to those found by previous reviews9,23. Themes and sub-themes were then categorized using the five causal factors described by Chaudoir et al.9 that affect the implementation of innovation in healthcare (structural, organizational, patient-level, provider-level, and innovation-based).

Italic text within quotation marks identifies primary data quotes from participants. The confidence in each review finding was assessed using the GRADE-CERQual framework24.

A total of 26 studies (including 1112 participants, of which 694 were surgeons) met the inclusion criteria25–50 (Fig. 1). The characteristics of these studies and their participants can be seen in Table 1. The studies investigated the adoption of a range of surgical innovations and used a range of focus groups, in-depth interviews, semi-structured interviews, face-to-face interviews, workshops, open-ended surveys, and telephone interviews. Studies were conducted in nine different countries (the USA (11), Canada (5), the UK (4), Germany (1), Australia (1), Belgium and the Netherlands (2), an unnamed country in West Africa (1), and Norway (1)). The study settings included community hospitals and academic hospitals, and some studies involved surgeons who were members of various societies.

Table 1.

Characteristics of the included studies

Study Study type Surgical innovation Specialty Method of analysis Study population Study settings Study aims Study quality
Abrishami 2014 Netherlands Semi-structured group interviews da Vinci surgical robot Urology Contextualization Urologists (8), patients with prostate cancer (4), hospital managers (3), private health insurance companies (3), healthcare journalists (3), national policymakers (2), hospitals’ technical assistants (2), an organizer of international medical congresses (1), an operation theatre nurse (1), and a clinical epidemiologist (1) Dutch healthcare system To gain an understanding of the adoption dynamics of healthcare innovations by examining one specific case, namely the da Vinci robot in the Netherlands Medium
Acharya 2009 USA Mixed methods (qualitative survey) Minimally invasive surgery Urology Descriptive analysis Urological surgeons (85) Members of the Society of Urologic Oncology To clarify whether open surgeons have modified their techniques, surgical equipment, and perioperative management using minimally invasive surgery to treat urological malignancies Low
Altschuler 2021 USA Semi-structured one-on-one interviews Percutaneous Tuohy needle (laparoscopic) technique for paediatric inguinal hernia repair Paediatric surgery Thematic analysis Paediatric surgeons (6) and paediatric urologists (3) Community-based healthcare system To identify attitudes and practices regarding the adoption of surgical innovations in paediatric surgeons and paediatric urologists Medium
Beech 1992 UK Mixed methods (postal survey with qualitative component) Day surgery General surgery Descriptive analysis Consultant surgeons (240) from multiple surgical specialties Consultant surgeons covering 53 districts and 80 hospitals across the National Health Service To examine the managerial and clinical incentives for day surgery in the UK as a means of assessing the reasons for its low rate of adoption Medium
Brattheim 2010 Norway Semi-structured interviews Endovascular aortic aneurysm repair Vascular surgery Thematic analysis Vascular surgeons (5) and interventional radiologists (7) One university hospital and two local hospitals in Norway To explore the social and material context of expertise development and refinement of a novel practice while knowledge and expertise are progressing High
Choy 2013 West Africa Semi-structured one-on-one interviews Laparoscopic surgery General surgery Combination of methodologialc, data, and researcher triangulation Surgeons (9), nurses (3), an anaesthetist (1), and a pharmacist (1) Single large hospital that is both a regional general hospital and a national referral hospital To explore and analyse the potential barriers to the adoption of laparoscopic surgery with a view to inform the future development of a laparoscopic surgical training programme in lower-middle-income countries Medium
Collins 2015 USA Semi-structured face-to-face interviews ACS General surgery Inductive approach and thematic analysis Eighteen surgeons (including current section/division chiefs for trauma surgery and/or EGS, two department chairs, and two senior surgeons) Eighteen teaching hospitals in the USA To understand the benefits and drawbacks of ACS and to determine what senior surgeons see for the future of this new specialty Medium
Danjoux 2007 Canada Semi-structured one-on-one interviews Endovascular aortic aneurysm repair Vascular surgery Modified thematic analysis Vascular surgeons (3), a radiologist (1), and a hospital decision-maker (1) Single large, urban university academic health sciences centre in Toronto, Canada To describe and evaluate the adoption of a new health technology used by surgeons for the treatment of aortic aneurysms called endovascular aneurysm repair (EVAR) High
Davey 2011 UK Mixed methods (semi-structured interviews) Computer-assisted surgery, hip and knee arthroplasty Trauma and orthopaedic surgery Thematic analysis Twenty-seven trauma and orthopaedic surgeons Twenty-eight different centres across the UK To provide an overview of the new technologies involved in orthopaedic surgery at the time of the study (2006–2007) and report on the results of a questionnaire that recorded the opinions of surgeons regarding the introduction of new technologies, with specific relevance to computer-assisted surgery Low
Dharampal 2016 Canada Semi-structured interviews SSC Multiple surgical specialties Grounded theory, inductive thematic analysis Surgeons (12), anaesthetists (10), and operating room nurses (9) Three acute care hospitals in Calgary, Canada To determine the attitudes of healthcare providers toward the SSC that may impact its adoption and compliance in Calgary, Canada High
Edmondson 2001 USA Semi-structured one-on-one interviews Minimally invasive cardiac surgery Cardiothoracic surgery Thematic analysis One hundred and sixty-five interviews in total, including one to three people in each of the four operating theatre team roles (surgeons, anaesthetists, nurses, and perfusionists) Sixteen varied hospitals in the USA To explore the implementation process and propose a process model for establishing new routines when adopting innovative technology Medium
Gold 2014 USA Individual interviews Accelerated partial breast radiotherapy Breast surgery Thematic framework approach Breast surgeons (17), and radiation oncologists (19) Mixture of academic and non-academic settings across the USA (number not specified) To explore the decision-making experience of physicians who had to decide whether to adopt this technology High
Hinoul 2010 Belgium and Netherlands Mixed methods (consensus) Needle suspension techniques with mesh to treat urogenital prolapse Urogynaecology Mixed model analysis Twenty opinion leaders (defined as academic pelvic floor surgeons, active members in urogynaecological societies, and/or high-volume surgeons) Members of the Flemish and Dutch Societies for Obstetrics and Gynaecology To determine which characteristics of proposed innovative surgical procedures influence the choice of pelvic floor surgeons when considering the use of mesh prostheses in the surgical treatment of urogenital prolapse Low
Lambert-Kerzner 2018 USA Focus groups and interviews SURPAS Multiple surgical specialties Matrix and reflexive analysis Surgeons (21), intensive care (1), anaesthetists (2), a biostatistician (1), medical students (2), administrators (20), and patients (24) Academic tertiary referral centre in Colorado The evaluation of SURPAS to optimize its development and implementation using qualitative methodology with focus groups and individual interviews of patients, surgical providers, and administrators Medium
Lang 2005 USA Semi-structured one-on-one interviews Carotid angioplasty and stenting Vascular surgery Intuitive and thematic analysis Fifteen vascular surgeons Five medical centres across the USA Exploration of physicians’ views about the safety and efficacy of carotid angioplasty and stenting, and the negotiation of professional boundaries in the treatment of carotid stenosis Medium
Leggott 2015 USA Mixed methods (semi-structured one-on-one interviews) Transformation of anaesthesia for ambulatory orthopaedic surgery Trauma and orthopaedic surgery Inductive iterative thematic analysis Orthopaedic surgeons (8), anaesthetists (4), and a nurse administrator (1) Single large hospital in the USA To identify key factors in the decision-making process in the implementation and acceptance of the innovation Medium
Luxford 2006 Australia Workshop Best-practice guidelines using a matrix tool General surgery Thematic analysis Colorectal surgeons (24), oncologists (16), and others (10; general surgeons, gastroenterologists, policy makers, and psychologists) The Colorectal Group of the Victorian Cooperative Oncology Group To pilot a matrix tool and assess its usefulness for individuals and organizations aiming to develop strategies to promote guideline implementation in cancer care Low
Marcus 2014 UK Mixed methods (qualitative survey) Endoscopic and assisted neurosurgical approaches Neurosurgery Descriptive analysis Consultant surgeons (40) Members of the Society of British Neurosurgeons To assess the technical challenges of neuroendoscopy, and the scope for technological innovations to overcome these barriers Low
Merkel 2015 Germany Problem-centred interviews TAVI Cardiothoracic surgery/cardiology Content and thematic analysis Cardiologists (9) , and a cardiothoracic surgeon (1) German university hospitals To identify and analyse factors affecting the implementation and diffusion of the procedure in hospitals using a qualitative application of the diffusion of innovations theory High
Powers 2021 USA Semi-structured one-on-one interviews Multiple innovations in otolaryngology Otolaryngology Thematic analysis Otolaryngologists (19) Tertiary academic centre in the USA To identify barriers and facilitators to adoption of a new surgical procedure via an implementation science framework to characterize associated socio-emotional, clinical, and decision-making processes Medium
Russ 2015 UK Semi-structured one-on-one or telephone interviews WHO SSC Multiple surgical specialties Inductive approach followed by thematic analysis Surgeons (37), anaesthetists (31), nurses (23), ODPs (18), and radiographers (10) Ten varied hospitals in the UK To evaluate how the WHO SSC was implemented across hospitals in England; to identify barriers and facilitators toward implementation; and to draw out lessons for implementing improvement initiatives in surgery/healthcare more generally High
Santry 2014 USA Semi-structured one-on-one interviews ACS General surgery Investigator triangulation using an inductive approach to develop a final taxonomy of codes organized by themes Eighteen surgeons (including current section/division chiefs for trauma surgery and/or EGS, two department chairs, and two senior surgeons) Eighteen teaching hospitals in the USA To understand how ACS is currently implemented in the USA across hospitals in varied geographical locations and practice settings High
Sharma 2006 Canada Semi-structured interviews Advanced laparoscopic surgery General surgery Modified thematic analysis General surgeons (3), a medical programme director (1), a nurse educator (1), and an operating room manager (1) One community hospital in Toronto, Canada Exploration of the current decision-making processes for the adoption of advanced laparoscopic surgery High
Stafinski 2010 Canada Workshop Thirteen separate technologies Multiple surgical specialties Content and relational analysis Eighteen surgeons from several technology- intensive clinical specialties (including cardiac surgery, neurosurgery, and orthopaedic surgery) Workshop in Alberta, Canada To pilot an approach to engage surgeons in identifying emerging technologies for health technology assessment Medium
Vanderveen 2007 USA Semi-structured one-on-one interviews SLNB Breast surgery Network and thematic analysis General surgeons (27) and surgical oncologists (11) A single metropolitan area To identify decision- making factors underlying SLNB implementation and learning patterns in one community, and to determine whether personal and practice characteristics affected time of adoption and learning sources High
Wright 2011 Canada Semi-structured one-on-one interviews SLNB Breast surgery Grounded theory analysis and inductive approach Surgeons (21), pathologists (5), nuclear medicine physicians (7), and administrators (10) Range of representatives from Cancer Care Ontario To explore individual, institutional, and policy factors that may have influenced SLNB adoption High

ACS, acute care surgery; EGS, emergency general surgery; SSC, surgical safety checklist; SURPAS, surgical risk preoperative assessment system; TAVI, transcather aortic valve implementation; ODPs, operating department practitioners; SLNB, sentinel lymph node biopsy.

Quality assessment

The majority of included studies were judged as medium or high quality, as shown in Table 1. In many studies, consideration of the potential impact of the relationship between the researcher and the participants on findings was not adequately considered and it was often unclear whether ethical issues had been taken into consideration. Further detail regarding risk-of-bias analysis can be found in Fig. S1.

Thematic synthesis of findings

The main findings of the review, shown in Table 2, showed that there were 22 themes that facilitated the adoption of a surgical innovation. These were categorized according to the five causal factors described by Chaudoir et al.9, as described above. Specific barriers to the adoption of a surgical innovation were also categorized according to the causal factors described by Chaudoir et al.9 (Table 3).

Table 2.

Themes and sub-themes that facilitate adoption of a surgical innovation into clinical practice

Causal factor Key points References Confidence in the evidence Explanation of confidence finding
Innovation-based
 Clinical outcomes and efficiency Better innovation-specific clinical outcomes (for example, resection margins, post-operative complication rate, and blood loss)
Reduced morbidity/mortality
Reduced duration of hospital stay
Reduced time to return to work
Enable more patients to undergo treatment (for example, high risk patients)
Improved theatre efficiency (for example, length of cases and time to set up equipment)
25,26,28,29,30,31,32,33,35,36,37,38,39,41,42,43,44,45,46,47,48,50 High Twenty-two studies with minor to significant methodological limitations. Highly relevant with high coherence. High adequacy.
 Cost-effectiveness Initial costs and ongoing costs associated with innovation
Reimbursement costs
25,26,27,28,32,35,36,37,41,43,44,45 High Twelve studies with minor to significant methodological limitations. Highly relevant with moderate coherence. High adequacy.
 Education and training Formal surgical training programme
Use of simulation and other preparation
Use of credentialing to ensure competence
Increased training opportunities for surgeons
26,28,30,34,36,37,40,42,43,44,46,47 High Twelve studies with minor to significant methodological limitations. Highly relevant with moderate coherence. High adequacy.
 Innovation-specific adoption properties Ease of adoption into existing clinical practice and pathways
Adapting innovation to fit specific clinical circumstances
Compatibility and complexity of innovation
33,34,42,45,47,48,49,50 High Eight studies with minor to moderate methodological limitations. Highly relevant with moderate coherence and adequacy.
 Ownership of innovation Which specialty ‘owns’ the innovation
Negotiation of specialty boundaries
Encouraging staff buy-in to own the innovation
30,32,33,35,37,41,42,47 High Eight studies with minor methodological limitations. Highly relevant with high coherence. Moderate adequacy.
 Scientific evidence National/local conferences
Opinion leaders
Peer-reviewed publications
Surgeon belief about benefits of innovation
Generalizing evidence from academic to community settings
25,28,32,35,36,37,41,45,46,49 High Ten studies with minor to significant methodological limitations. Highly relevant with high coherence. Moderate adequacy.
 Volume of cases Pre-existing high volume of cases
Increased operative volume
28,31,37,43,47 Moderate Five studies with minor to moderate methodological limitations. Moderate relevance with moderate coherence. Moderate adequacy.
Organizational
 Hospital benefit Increased publicity and reputation benefit
Economic benefit
Increased competitiveness
Delivery of specialized services
Research profile for hospital
28,31,35,41,43,44,47,48 High Eight studies with minor to moderate methodological limitations. Highly relevant with high coherence. Moderate adequacy.
 Hospital support Administrative and management support
Financial support
Facility support
Educational support
25,27,28,30,31,37,38,41,42,43,44,47 High Twelve studies with minor to significant methodological limitations. Highly relevant with high coherence. High adequacy.
 Interdisciplinary approach Appropriate team members selected to take part
Personal attributes and attitudes of relevant staff
Knowledge gained from colleagues in other specialties
Culture to allow innovation and change
28,33,34,42,50 Moderate Five studies with minor to moderate methodological limitations. Moderate relevance. High coherence. Moderate adequacy.
 Knowledge sharing Interdepartmental communication
Knowledge sharing between participants and other stakeholders (for example, administrators)
28,38,41,42,43,44,47,48,50 Moderate Nine studies with minor to moderate methodological limitations. Moderate relevance. High coherence. Moderate adequacy.
 Local clinical outcomes Reflection of experiences and clinical outcomes, including feedback to relevant stakeholders
Clinical audit
Accountability for non-compliance
34,42,47 Low Three studies with minor to moderate methodological limitations. Moderate relevance. Moderate coherence. Low adequacy.
 Local surgeon champion Key role to ensure delivery and integration and delivery of adoption of innovation
Experience of innovation either during training or from peers
27,28,30,32,33,34,38,42,47 High Nine studies with minor to moderate methodological limitations. Highly relevant with high coherence. High adequacy.
 Type of institution Community or tertiary setting
Institutional inertia to change
25,31,32,37,42,47 Moderate Six studies with minor to moderate methodological limitations. Moderate relevance. Moderate coherence. Moderate adequacy.
Patient-level
 Patient perspective Patient choice
Patients may wish for innovation if not a candidate for standard treatment
Patient perspective that innovation is safer
Consumerism
Patient satisfaction
28,29,30,31,33,35,37,39,50 High Nine studies with minor to significant methodological limitations. Highly relevant with high coherence. High adequacy.
Provider-level
 Level of scientific evidence Differences in opinion regarding the level of scientific evidence required to support adoption 35,41,42 High Three studies with minor methodological limitations. Highly relevant with high coherence. High adequacy.
 Surgeon benefit Improved ergonomic benefit/working conditions/job satisfaction
Increased personal remuneration
Increased competitiveness
Increased referral rate
Research profile for surgeon
28,31,35,43,48,49,50 Moderate Seven studies with minor to moderate methodological limitations. Moderate relevance. Moderate coherence. Moderate adequacy.
 Surgeon personal perspectives and experience of innovation Previous high volume of cases
Experience of innovation either during training or from peers
Developing or maintaining surgical skills
Delivering ‘standard of care’
Desire to be innovative or ‘early-adopter’
Doing ‘what’s best for patient’
Beliefs regarding novelty of adoption (‘newer must be better’)
25,27,28,30,31,32,35,37,38,43,44,45,46,47,48,50 High Sixteen studies with minor to moderate methodological limitations. Highly relevant with high coherence. High adequacy.
Structural
 Local social interactions and network Decision to adopt motivated by informal consensus from local network of physician experiences
Local surgeon hierarchy
Role of structured decision-making processes
25,26,28,30,32,35,38,42,44,47,49 High Eleven studies with minor to significant methodological limitations. Highly relevant with high coherence. High adequacy.
 Manufacturer support Educational support
Resource support
28,35,41 Low Three studies with minor to moderate methodological limitations. Moderate relevance with low coherence. Low adequacy.
 Policy support Hospital-level, governmental-level, regulatory support, and guidelines
Processes to facilitate adoption
28,30,32,34,35,38,41,42,43,44,47 High Eleven studies with minor to moderate methodological limitations. Highly relevant with high coherence. High adequacy.
 Pressure from external stakeholders Pressure from external peers, administrators, hospital, insurers, the media, and families of patients
Pressure to ‘keep up’
28,29,32,35,41,46,47 Moderate Seven studies with minor to significant methodological limitations. Highly relevant with moderate coherence. Moderate adequacy.
 Pressure from internal stakeholders Pressure from internal peers, administrators, and hospital
Attitudes of healthcare providers
Identification of local champions to support development
25,28,29,30,32,33,35,41,46,47,50 Moderate Eleven studies with minor to significant methodological limitations. Highly relevant with moderate coherence. Moderate adequacy.

Table 3.

Themes and sub-themes that are a barrier to adoption of a surgical innovation into clinical practice

Causal factor Key points References Confidence in the evidence Explanation of confidence finding
Innovation-based
 Clinical outcomes Risk of negative outcomes and associated damage to reputation
Concern about overuse/misuse of procedure
35,37,39,42,48,50 Moderate Six studies with minor to significant methodological limitations. Highly relevant with moderate coherence and adequacy.
 Cost Concerns about cost/cost-effectiveness 26,30,48 Moderate Three studies with minor to moderate methodological limitations. Highly relevant with moderate coherence and adequacy.
 Education Lack of training opportunities
Long learning curve
Difficulty of learning new skills and associated learning curve
34,40,41,42,43,48,49 Moderate Seven studies with minor to moderate methodological limitations. Highly relevant with moderate coherence and adequacy.
 Innovation-specific Technical concerns/challenges with adoption
Difficult application of innovation
30,40,42,48 Moderate Four studies with minor to moderate methodological limitations. Highly relevant with moderate coherence and adequacy.
 Volume of cases Low volume of cases and demand for the innovation
Conversely, limited time to learn or trial the innovation
26,30,49 Low Three studies with minor to significant methodological limitations. Moderate relevance with low adequacy and coherence.
 Workload Increased workload due to innovation 39,42,48 Low Three studies with minor to significant methodological limitations. Moderate relevance with low adequacy. Low coherence.
Organizational
 Geographical isolation Small community hospitals may lack local social network to support adoption of innovations 27,35,47 Moderate Three studies with minor to moderate methodological limitations. Moderate relevance, coherence, and adequacy.
 Hospital organization Lack of theatre time/facilities/equipment
Lack of beds
Lack of staff
Lack of money
Local regulatory processes
Lack of management support
26,27,28,30,31,34,35,37,39,40,42,43,47,48,50 High Fifteen studies with minor to significant methodological limitations. Highly relevant with high coherence. High adequacy.
 Knowledge sharing Reduced knowledge sharing between stakeholders and institutions
Multiple specialty involvement
30,35,37 Moderate Three studies with minor to moderate methodological limitations. Moderate relevance, coherence, and adequacy.
 Staff Resistance and non-compliance (lack of engagement from stakeholders)
Changes in departmental workflow
Staff training and education
42,48,49,50 Moderate Four studies with minor methodological limitations. Highly relevant with moderate coherence. Low adequacy.
Patient-level
 Local population Patient preference
Patient needs
Social characteristics, including age
27 Low One study with moderate methodological limitations. High relevance with low coherence. Low adequacy.
 Patient perspective May choose cheaper standard option over expensive innovation 26,48,50 Low Three studies with moderate methodological limitations. Low relevance with moderate coherence. Low adequacy.
Provider-level
 Ethical aspects Delaying patient access to care to receive innovation potentially causes harm 30,32,35,48 Moderate Four studies.
 Medico-legal concerns Risk of litigation
Concerns if limited scientific evidence to support use
28,35,37,50 Moderate Four studies with minor to moderate methodological limitations. Highly relevant with moderate coherence and adequacy.
 Senior surgeon view Limited desire to learn new procedures/skills
Limited desire to teach new procedures/skills
Decided treatment choice for patients
26,35,42,47 High Four studies with minor to moderate methodological limitations. Highly relevant with moderate coherence. Moderate adequacy.
Structural
 Community organization Lack of support from community services 27 Low One study with moderate methodological limitations. Moderate relevance with low coherence. Low adequacy.
 Policy Adoption barriers from regulatory bodies 41 Moderate One study with minor methodological limitations. Highly relevant with high coherence and adequacy.

Innovation-based

Surgeons reported various factors of an innovation that affected their decision to adopt it for use in clinical practice. The most common factor was improved clinical outcomes such as reduced postoperative complication rate, duration of hospital stay, and blood loss, as well as other clinical outcomes leading to reduced time to return to work and overall reduced morbidity and mortality. Some surgeons commented that these could be ‘perceived’ improved outcomes and were not necessarily supported by robust scientific evidence. Surgeons gathered evidence to support their decision-making process from a range of sources (fellow surgeons, local and national conferences, specialty opinion leaders, and peer-reviewed publications). One surgeon stated: ‘The difference in mortality from an open operation versus [EVAR] is SO huge…the difference between doing open operations and endograft are astronomical. Mortality rates are 3% [EVAR] versus 17 or 18% [open].32 (where EVAR stands for endovascular aortic aneurysm repair).

An innovation was reported as more likely to be adopted if it improved clinical efficiency such as shorter preoperative, perioperative, and postoperative theatre times, reduced equipment usage, and reduced staff requirements28,29,31,37,50. The cost-effectiveness of an innovation was commonly discussed as a factor affecting adoption; particularly if the innovation reduced overall healthcare costs or if it increased reimbursement rates for individual surgeons and institutions25–28,32,35–37,41,43–45. Innovations were less likely to be adopted if they were more expensive than the traditional technique. The ease of reimbursement for surgeons and institutions was also cited as a factor positively influencing the diffusion rate.

Successful adoption of an innovation was also related to the complexity of the innovation and the inherent compatibility of the innovation with existing clinical practice. Innovations that required minimal adjustment to existing clinical practice and pathways were more likely to be adopted. Innovations were more likely to be adopted if there was a pre-existing high volume of cases or if surgeons believed that the innovation would lead to increased number of operations.

A major component regarding the ease of adoption is related to the education and training of the individual surgeons. Innovations that were challenging to perform from a technical skill perspective with a long learning curve were less likely to be adopted. One participant noted that innovations often required new knowledge and intensive training: ‘But at the time we introduced that, when the treatment was new, each component had to be learned first […]41.

This could be mitigated to some extent by use of formal surgical training pathways, local surgeon champions, simulation and other preparatory resources, and credentialing to demonstrate competence to perform a procedure. One surgeon in their department described their initial experience with the procedure: ‘We practiced just watching what they were doing, then we did it under x-ray control…then we had a couple of experts come and we did it with them on two patients the next day.32.

There were some concerns raised regarding the potential risk of negative clinical outcomes and the associated damage to reputation. Other concerns included the potential of overuse or misuse of a procedure before scientific evidence could be demonstrated.

Innovations in surgery can often transcend inter-specialty boundaries (for example, EVAR for an abdominal aortic aneurysm crosses interventional radiology and vascular surgery). Each specialty has unique knowledge and skill sets; therefore, the interplay and linkage between the specialties involved was an important consideration regarding the adoption of an innovation. Management and negotiation of specialty boundaries through effective interdisciplinary communication was important to the adoption of an innovation. Determining which specialty ‘owns’ the innovation can be challenging, particularly when multiple specialties already perform the procedure. Inter-specialty teamwork often influenced the adoption decision and slowed down or interrupted the implementation process: ‘These are the nuts and bolts…Because, often the teamwork of cardiologists and cardiac surgeons is not given…This is a major problem because interventional cardiology has expanded into many areas of heart surgery…41.

Benefits of an interdisciplinary approach include the important selective expertise of different specialties in managing patients: ‘It’s amazing, the endoscopic techniques we use are similar to those used in pulmonary. Why would a urologist be hanging out with a pulmonologist? You’d be surprised, they’re using a lot of similar things, so there’s a lot of cross-over. We don’t necessarily need always to look within our specialty, but also to look outside our specialty for ideas.49.

Barriers to the optimal development of interdisciplinary teams include logistic issues such as institutional insight, overcoming inertia, and traditional professional boundaries. Non-logistic barriers include remuneration structures and institutional resources to accommodate interdisciplinary teams. Adoption strategies that encouraged staff to ‘own’ the innovation and take responsibility for it were helpful.

Organizational

The role of the healthcare provider institution is integral to the decision to adopt a novel surgical innovation. Multiple surgeons mentioned the need for institutional oversight and support in terms of finance, administration, management, education, and logistics. Institutions that were unable to support these factors encountered significant barriers to adoption. Local regulatory processes presented administrative burdens to innovation.

The type of institution (academic versus community), geographical location, and the associated levels of support (both in-hospital and community) that could be provided affected the decision to adopt or not adopt certain innovations. Surgeons mentioned the benefits to individual institutions from adopting an innovation, including increased publicity and reputation, increased competitiveness, increased research profile, potential economic benefit, and the ability to deliver specialized services. The institution’s strategic focus needs to be taken into account, particularly when institutions focus on one area (for example, oncology) and are ‘pro-innovation’ in order to provide the latest standard of care. One surgeon commented: ‘Cancer surgery is considered to be one of our strategic priorities. So because laparoscopic surgery is involved with cancer surgery, it just fits in.44.

Conversely, innovations introduced into rarer surgeries with fewer patients and fewer referrals hindered sustained adoption due to low use of the new technique: ‘I still wasn’t as busy with [novel procedure] as I would want to be, and so it might be several weeks or sometimes even a month or two between cases. So, the ability to rapidly turn around on surgical learning was not as available.48.

The role of a local surgeon champion or leader was consistently mentioned by surgeons as driving the adoption of an innovation. This refers to surgeons within a department who have had a significant influence on the novel innovation, including experience in its implementation and significant experience of using an innovation. Therefore, these champions could provide motivation and invaluable support to other surgeons. In one study, a surgeon was hired specifically to perform endovascular repairs and was instrumental to its early use: ‘The thing that really kick started it is when we hired a partner who had been trained to do this in the US. So he had done a lot of these cases, and so we then went fairly rapidly and ramped up the program.32.

There were several communication-related sub-themes that were central to adoption of surgical innovation. Knowledge sharing was key between all the participants and stakeholders, including hospital administration and management, to identify and solve implementation issues. This could take the form of regular multidisciplinary meetings, promoting a positive culture of communication. Multidisciplinary meetings also provided valuable forums to reflect on experiences and clinical outcomes of an innovation. Clinical audit of outcomes was important, as was accountability for non-compliance with an innovation. The overall stability of staff and their culture to allow innovation and change all facilitated the adoption of an innovation. Lack of engagement from relevant stakeholders and resistance to change were identified as a barrier to adoption of an innovation.

Patient-level

A number of themes related to individual surgeons or patients emerged from the data. The patient perspective was integral, as patients often expressed a wish for a specific treatment that they had heard about. Several surgeons reported that patients believed ‘innovations were safer’ and there was an element of consumerism regarding patient choice of treatment. As one patient put it: ‘the word “robot”, of course, sounds magical [strong verbal emphasis]. [It] suggests that things can’t go wrong anymore28.

Certain patients elected for an innovative treatment if they were not candidates for standard treatment. This sometimes led to ethical issues, as some surgeons felt that delays in accessing care, in order to receive the innovative treatment, could contribute to patient harm through increased morbidity and mortality. In healthcare systems where patients were responsible for paying for their healthcare, many patients chose the cheaper standard option over the expensive innovative technology. The social and geographical characteristics of the local patient population also directly affected the adoption of an innovation. One study reported that the adoption of their innovation followed the ‘medical-individualistic’ perspective, which focuses on hospitals adopting new technologies based on the clinical needs of their patient population and the benefit of the intervention for the patient over economic considerations32,38.

Provider-level

The personal attitudes, views, experiences, motivators, and characteristics of individual surgeons were also prominently mentioned. Surgeons with previous experience and a high volume of cases using an innovation were more likely to adopt a procedure into their clinical practice. Experience could come from training opportunities or local peers. Surgeons’ personal beliefs regarding innovation also affected the decision to adopt an innovation; some surgeons had a desire to be innovative or an ‘early-adopter’, whilst others adopted an innovation to continuously develop or maintain their technical surgical skills49. For some surgeons, their personal belief was patient-focused and their decision to adopt an innovation was related to ‘doing what’s best for the patient’31,35. Some surgeons held beliefs regarding the novelty aspect of an innovation and that ‘newer must be better’28. Some surgeons commented on the personal benefits to them from adopting an innovation into practice, including practical considerations such as improved working conditions, job satisfaction, and lifestyle benefits, and economic considerations such as increased personal remuneration, increased competitiveness for cases, and increased referral rates. Surgeons also considered the increased research profile they could gain from adopting a surgical innovation. Innovations that increased workloads faced resistance to adoption.

There was no clear consensus regarding the strength of evidence required to support or oppose an innovation’s effectiveness. Decisions to adopt a new technology were often made with limited, if any, scientific evidence of efficacy. One surgeon highlighted the urgency to adopt the technology before RCT evidence: ‘It just is something that made intuitive sense and you could sit on the sidelines and wait for randomized data and clinical trials, but you’d be waiting for a really long time and I’m in the trenches operating on people now and looking at them now.35.

Many surgeons preferred RCTs, but others were happy with data from other sources such as observational data or personal intuition and experience. Some surgeons relied on the community standard of care before adopting an innovation into their own practice. There are also challenges of generalizing evidence about interventions from academic to community settings.

Ethical issues

Several studies reported on ethical considerations affecting the decision to adopt or reject a novel innovation. These concerns related to delays or issues accessing care in order to receive the innovative treatment. One study explained: ‘At times, referring the patient for EVAR assessment across hospital boundaries might cause delays in decision making, challenging the hand-over of patient responsibility. This in turn could be critical in the case of an aneurysm rupture.30.

Critical appraisal and analysis of the evidence of benefit from the scientific literature differed between individual surgeons. A radiation oncologist who was medical director of oncology for a large group represented a more conservative approach and said: ‘I’ve probably slowed down some of the desire to do things more quickly and push more towards the trial scenario…and look that direction first.35.

These findings highlight that adoption of a surgical innovation transcends both clinical care and research. It is not always clear when formal ethical committee oversight is required (for example, should a minor modification to an existing procedure require ethical oversight or robust health technology assessment, or neither). Part of this confusion may result from the lack of uniformity in surgeons’ views regarding the definition of ‘surgical innovation’51. A systematic review investigating the ethical issues associated with surgical innovation highlighted four major themes: oversight of the surgical innovation process; informed consent; learning curve of the individual surgeons; and issues surrounding innovative procedures in vulnerable patients52.

Medico-legal concerns

A number of surgeons reported concerns regarding litigation and medico-legal issues resulting from the adoption of surgical innovations. There were concerns regarding the implication of using an innovation that had limited scientific evidence to support its use.

Structural

Surgeons reported that local social interactions within their network directly affected the adoption of an innovation. Many surgeons reported that the continued decision to adopt an innovation was often motivated by informal consensus and experiences from surgeons and other interdisciplinary peers within their individual social network. This was not necessarily restricted to their own institutions. Indeed, many surgeons described that the pressure from internal and external stakeholders was directly relevant to their decision to adopt an innovation. Internal stakeholders included groups such as patients, fellow surgeons, administrators, hospital managers, etc. Their attitudes towards innovation and novel technology affected the pressure they exerted. Pressure also came from external stakeholders such as insurers, device manufacturers, policymakers, relevant national societies, families of patients, and the media. Surgeons described a pressure to ‘keep up’ with current practice, even in the absence of scientific evidence. Several surgeons mentioned surgical hierarchy and the associated impact of the opinion of a senior surgeon within the department. If a senior surgeon did not utilize an innovation themselves then it was unlikely that junior surgeons or trainees would use the innovation themselves. Senior surgeons had their own individual motivations with some surgeons discussing their own limited desire to learn or teach new procedures and skills. One senior surgeon noted: ‘I think [the reason why team C was not selling laparoscopy very much was] just a lack of interest because Dr. X (senior surgeon), who was trained in it, perhaps looking back, maybe we should have trained somebody else. He was trained in it, yet he hardly performed any…I think he feels he’s retired, I don’t think he wants to go through all the trouble…, so I think he thinks there is no time for him to do it.26.

The role of formal policy and guidelines featured in many surgeons’ desires to adopt a surgical innovation. Policy support and guidelines could come from many sources, including hospitals, local and national government, funding bodies, and regulatory bodies. One study reported that the lack of governmental support for an adoption led to a decision to cut the funding for it32. The importance of national device regulation influenced diffusion rate, as one study noted that: ‘The approval system for medical devices in Europe was…described as “innovation friendly” in comparison to the US medical device regulation.41.

There were mixed views on the role of a formal process to facilitate adoption of an innovation. Some surgeons thought that the adoption of an innovation would have been facilitated by a formal process to ensure a fair decision-making process32. One study reported that the introduction of an innovation in a new unit: ‘without entrenched rules or leaders, helped to allow it to grow and spread38.

Surgeons also considered the role of device manufacturers in providing educational and resource support to facilitate adoption of their products.

Discussion

This systematic review has synthesized the evidence related to surgeons’ views of factors affecting the adoption of a novel surgical innovation into clinical practice. The themes identified have been classified using the framework of Chaudoir et al.9.

This study contributes to the body of evidence regarding the diffusion and adoption of surgical innovations by exploring surgeons’ perspectives. It shows that there are multiple factors affecting a surgeon’s decision to use a novel surgical innovation and the complex interplay between these factors will lead to sustainability of the innovation or its subsequent demise. Key themes identified with confidence that facilitate adoption include improved clinical outcomes from the innovation, cost-effectiveness, scientific evidence, surgeon experience, views and beliefs regarding the innovation, the local social network, and the role of surgeon champions, as well as pressure and support from internal and external stakeholders. Barriers to the adoption of a surgical innovation such as the views of senior surgeons and the lack of resources or organizational support were reported in the majority of studies.

Given the importance of clinical outcomes regarding a surgeon’s decision to adopt a novel technology, it is interesting to note the lack of consensus amongst surgeons regarding the strength of evidence required to confidently make this decision. A qualitative study investigating the diffusion of service innovations noted that ‘The relative advantage of healthcare innovations, and even the evidence of benefit, is not a judgement rooted in pure rationalistic reasoning, but rather is subject to debate and negotiation’53. Studies investigating the impact of scientific information on the diffusion of healthcare innovations have found that robust scientific evidence does not necessarily lead to innovation adoption in a linear or direct way.

There is a need to develop the insight and understanding of the strength of evidence required to support the widespread adoption of a novel surgical technology. Knowledge of the strength of evidence required for stakeholder support will inform the design, methodology, scope, and objectives of future clinical trials (for example, efficacy versus effectiveness trials)54. The IDEAL framework describes the stages of evidence generation for novel surgical innovations; however, this framework does not currently integrate well with medical regulatory bodies, which offer different guidance and evaluation of an interventional procedure depending on its stage of development1,7. It is crucial to understand the complex interplay between the surgeon’s perspective of the level of evidence, the regulator’s perspective of the level of evidence, and the clinical circumstances needed to move between stage 3 and stage 4 of the IDEAL framework. Adoption of surgical innovations may have significant resource implications for individual institutions and the entire healthcare system; therefore, the decision-making processes of surgeons should be overseen55. Understanding what scientific data should be available for a new surgical innovation before it can be used widely in the National Health Service, in the views of multiple different stakeholders, will help inform the design, methodology, scope, and objectives of future clinical trials (for example, efficacy versus effectiveness trials)54. It is encouraging that the use of the IDEAL framework in surgical innovation is accelerating56.

The themes and sub-themes identified in this review are consistent with those identified by other studies exploring innovation in healthcare9,10,23,57,58. This review provides deeper insights into the views and perspectives of the individual surgeons who are faced with the decision of whether to use a novel surgical innovation in a clinical scenario. This review contributes to the literature regarding evidence-based surgical innovation.

This review has several strengths. A comprehensive search using standard methodology was conducted to identify studies directly relevant to the research question. Two independent authors were involved in extraction, analysis, and interpretation to ensure that the synthesis incorporated the breadth and depth of experiences reported in the studies. This review synthesized data from 1112 participants (of which 694 were surgeons) across different healthcare systems. A protocol paper was published before this study11. Although the protocol paper included searches of grey literature in the Methods section, these data were not searched systematically and not used in the final data analysis or Results section.

There are, however, some limitations. The range of surgical innovations investigated by the included studies was small and therefore not necessarily generalizable to other surgical innovations. Types of innovation included innovations involving endoscopic techniques (6), endovascular innovations (3), robotic innovations (2), organizational innovations (7), general surgery innovations (4), and innovations involving other specialties (4). Similarly, the majority of the studies were conducted in high-income Western countries, with only one study conducted in a low-income country, which potentially restricts the transferability of the review findings and the evidence base. In total, 14 of the studies included views from other healthcare staff in addition to surgeons. Statements from interviews were often vague, with authors stating improved health outcomes or lower overall healthcare costs, without giving concrete justification to support these statements. Furthermore, a broad range of keywords are often used in this area of research and studies were excluded if they did not include surgeons’ opinions. Process evaluations for new technologies may further assist the thought process behind decisions to adopt new innovations59–62.

Surgeons’ views and perspectives about factors that affect their decision to adopt a novel surgical innovation focus predominantly on the innovation itself, particularly the potential improvement of clinical outcomes. However, there are many more factors that affect this decision at patient, provider, organizational, and structural levels. An increased understanding between patients, surgeons, researchers, regulators, commissioners, and other relevant stakeholders of these factors should play an integral role in future strategies and research into the diffusion and adoption of surgical innovations.

This thematic synthesis of qualitative studies on surgeons’ perspectives shows that there are multiple complex factors that dynamically interact, affecting the adoption of a novel surgical innovation into clinical practice. These can be categorized according to innovation-based, provider-level, patient-level, organizational, and structural causal factors. Clarification is still needed as to the strength of clinical evidence needed to support the adoption of new innovations. These insights will be valuable in understanding how best to implement surgical innovations in an effective, but also safe, manner.

Supplementary Material

zrad141_Supplementary_Data

Acknowledgements

The authors wish to thank Sam Johnson from the University of Warwick library for help in developing the search strategy.

Contributor Information

Nagarjun N Konda, Warwick Clinical Trials Unit, Warwick Medical School, The University of Warwick, Coventry, UK; Department of Trauma and Orthopaedic Surgery, University Hospitals Coventry & Warwickshire, Coventry, UK.

Thomas L Lewis, Department of Trauma and Orthopaedic Surgery, King’s College Hospital NHS Foundation Trust, London, UK.

Hugh N Furness, Department of Trauma and Orthopaedic Surgery, Imperial College London, London, UK.

George W Miller, Department of Trauma and Orthopaedic Surgery, Bart’s and the London NHS Foundation Trust, London, UK.

Andrew J Metcalfe, Warwick Clinical Trials Unit, Warwick Medical School, The University of Warwick, Coventry, UK; Department of Trauma and Orthopaedic Surgery, University Hospitals Coventry & Warwickshire, Coventry, UK.

David R Ellard, Warwick Clinical Trials Unit, Warwick Medical School, The University of Warwick, Coventry, UK; Department of Trauma and Orthopaedic Surgery, University Hospitals Coventry & Warwickshire, Coventry, UK.

Funding

Funding for article publication was provided by the University of Warwick.

Author contributions

Nagarjun N. Konda (Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing—original draft, Writing—review & editing), Thomas L. Lewis (Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Writing—original draft, Writing—review & editing), Hugh N. Furness (Conceptualization, Data curation, Investigation, Methodology, Writing—original draft, Writing—review & editing), George W. Miller (Data curation, Formal analysis, Methodology, Writing—review & editing), Andrew J. Metcalfe (Conceptualization, Investigation, Project administration, Supervision, Writing—review & editing), and David R. Ellard (Methodology, Supervision, Writing—review & editing).

Disclosure

The authors declare no conflict of interest.

Supplementary material

Supplementary material is available at BJS Open online.

Data availability

The data that support the findings of this study are available on request from the corresponding author (A.J.M.).

References

  • 1. McCulloch  P, Cook  JA, Altman  DG, Heneghan  C, Diener  MK. IDEAL framework for surgical innovation 1: the idea and development stages. BMJ  2013;346:f3012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Ergina  PL, Cook  JA, Blazeby  JM, Boutron  I, Clavien  PA, Reeves  BC  et al.  Challenges in evaluating surgical innovation. Lancet  2009;374:1097–1104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Riskin  DJ, Longaker  MT, Gertner  M, Krummel  TM. Innovation in surgery: a historical perspective. Ann Surg  2006;244:686–693 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Metcalfe  A, Parsons  H, Parsons  N, Brown  J, Fox  J, Gemperlé Mannion  E  et al.  Subacromial balloon spacer for irreparable rotator cuff tears of the shoulder (START:REACTS): a group-sequential, double-blind, multicentre randomised controlled trial. Lancet  2022;399:1954–1963 [DOI] [PubMed] [Google Scholar]
  • 5. Smith  AJ, Dieppe  P, Howard  PW, Blom  AW. Failure rates of metal-on-metal hip resurfacings: analysis of data from the National Joint Registry for England and Wales. Lancet  2012;380:1759–1766 [DOI] [PubMed] [Google Scholar]
  • 6. Barski  D, Arndt  C, Gerullis  H, Yang  J, Boros  M, Otto  T  et al.  Transvaginal PVDF-mesh for cystocele repair: a cohort study. Int J Surg  2017;39:249–254 [DOI] [PubMed] [Google Scholar]
  • 7. Cook  JA, McCulloch  P, Blazeby  JM, Beard  DJ, Marinac-Dabic  D, Sedrakyan  A. IDEAL framework for surgical innovation 3: randomised controlled trials in the assessment stage and evaluations in the long term study stage. BMJ  2013;346:f2820. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Elliott  D, Blencowe  NS, Cousins  S, Zahra  J, Skilton  A, Mathews  J  et al.  Using qualitative research methods to understand how surgical procedures and devices are introduced into NHS hospitals: the Lotus study protocol. BMJ Open  2021;11:e049234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Chaudoir  SR, Dugan  AG, Barr  CHI. Measuring factors affecting implementation of health innovations: a systematic review of structural, organizational, provider, patient, and innovation level measures. Implement Sci  2013;8:22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Greenhalgh  T, Wherton  J, Papoutsi  C, Lynch  J, Hughes  G, A'Court  C  et al.  Beyond adoption: a new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. J Med Internet Res  2017;19:e367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Lewis  TL, Furness  HN, Miller  GW, Parsons  N, Seers  K, Underwood  M  et al.  Adoption of a novel surgical innovation into clinical practice: protocol for a qualitative systematic review examining surgeon views. BMJ Open  2018;8:e020486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Shamseer  L, Moher  D, Clarke  M, Ghersi  D, Liberati  A, Petticrew  M  et al.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ  2015;349:g7647. [DOI] [PubMed] [Google Scholar]
  • 13. Moher  D, Liberati  A, Tetzlaff  J, Altman  DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ  2009;339:b2535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Lewis  TL, Furness  HN, Miller  GW, Parsons  N, Seers  K, Underwood  M  et al.  A systematic review examining surgeon views regarding the adoption of novel surgical innovation into clinical practice. PROSPERO, 2017 CRD42017076715 [DOI] [PMC free article] [PubMed]
  • 15. Tong  A, Flemming  K, McInnes  E, Oliver  S, Craig  J. Enhancing transparency in reporting the synthesis of qualitative research: ENTREQ. BMC Med Res Methodol  2012;12:181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Covidence—Online Systematic Review Software. https://www.covidence.org/ (accessed August 2022)
  • 17. Barkun  JS, Aronson  JK, Feldman  LS, Maddern  GJ, Strasberg  SM, Altman  DG  et al.  Evaluation and stages of surgical innovations. Lancet  2009;374:1089–1096 [DOI] [PubMed] [Google Scholar]
  • 18. Critical Appraisal Skills Programme (CASP) . CASP Qualitative Checklist. 2022. http://www.casp-uk.net/casp-tools-checklists/ (accessed August 2023)
  • 19. Dixon-Woods  M, Shaw  RL, Agarwal  S, Smith  JA. The problem of appraising qualitative research. Qual Saf Health Care  2004;13:223–225 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Dixon-Woods  M, Sutton  A, Shaw  R, Miller  T, Smith  J, Young  B  et al.  Appraising qualitative research for inclusion in systematic reviews: a quantitative and qualitative comparison of three methods. J Health Serv Res Policy  2007;12:42–47 [DOI] [PubMed] [Google Scholar]
  • 21. Thomas  J, Harden  A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med Res Methodol  2008;8:45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Snilstveit  B, Oliver  S, Vojtkova  M. Narrative approaches to systematic review and synthesis of evidence for international development policy and practice. J Dev Effect  2012;4:409–429 [Google Scholar]
  • 23. Greenhalgh  T, Robert  G, Macfarlane  F, Bate  P, Kyriakidou  O. Diffusion of innovations in service organizations: systematic review and recommendations. Milbank Q  2004;82:581–629 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Lewin  S, Glenton  C, Munthe-Kaas  H, Carlsen  B, Colvin  CJ, Gülmezoglu  M  et al.  Using qualitative evidence in decision making for health and social interventions: an approach to assess confidence in findings from qualitative evidence syntheses (GRADE-CERQual). PLoS Med  2015;12:e1001895. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Davey  SM, Craven  MP, Meenan  BJ, Martin  JL, Crowe  JA. Surgeon opinion on new technologies in orthopaedic surgery. J Med Eng Technol  2011;35:139–148 [DOI] [PubMed] [Google Scholar]
  • 26. Choy  I, Kitto  S, Adu-Aryee  N, Okrainec  A. Barriers to the uptake of laparoscopic surgery in a lower-middle-income country. Surg Endosc  2013;27:4009–4015 [DOI] [PubMed] [Google Scholar]
  • 27. Beech  R, Morgan  M. Constraints on innovatory practice: the case of day surgery in the NHS. Int J Health Plann Manage  1992;7:133–148 [DOI] [PubMed] [Google Scholar]
  • 28. Abrishami  P, Boer  A, Horstman  K. Understanding the adoption dynamics of medical innovations: affordances of the da Vinci robot in The Netherlands. Soc Sci Med  2014;117:125–133 [DOI] [PubMed] [Google Scholar]
  • 29. Acharya  SS, Zorn  KC, Shikanov  S, Thong  A, Zagaja  GP, Shalhav  AL  et al.  Evolution of open radical retropubic prostatectomy–how have open surgeons responded to the challenge of minimally invasive surgery?  J Endourol  2009;23:1893–1897 [DOI] [PubMed] [Google Scholar]
  • 30. Brattheim  B, Faxvaag  A, Tjora  A. Getting the aorta pants in place: a ‘community of guidance’ in the evolving practice of vascular implant surgery. Health (London)  2011;15:441–458 [DOI] [PubMed] [Google Scholar]
  • 31. Collins  CE, Pringle  PL, Santry  HP. Innovation or rebranding, acute care surgery diffusion will continue. J Surg Res  2015;197:354–362 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Danjoux  NM, Martin  DK, Lehoux  PN, Harnish  JL, Shaul  RZ, Bernstein  M  et al.  Adoption of an innovation to repair aortic aneurysms at a Canadian hospital: a qualitative case study and evaluation. BMC Health Serv Res  2007;7:182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Dharampal  N, Cameron  C, Dixon  E, Ghali  W, Quan  ML. Attitudes and beliefs about the surgical safety checklist: just another tick box?  Can J Surg  2016;59:268–275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Edmondson  AC, Bohmer  RM, Pisano  GP. Disrupted routines: team learning and new technology implementation in hospitals. Adm Sci Q  2001;46:685–716 [Google Scholar]
  • 35. Gold  HT, Pitrelli  K, Hayes  MK, Murphy  MM. Decision to adopt medical technology: case study of breast cancer radiotherapy techniques. Med Decis Making  2014;34:1006–1015 [DOI] [PubMed] [Google Scholar]
  • 36. Hinoul  P, Goossens  A, Roovers  JP. Factors determining the adoption of innovative needle suspension techniques with mesh to treat urogenital prolapse: a conjoint analysis study. Eur J Obstet Gynecol Reprod Biol  2010;151:212–216 [DOI] [PubMed] [Google Scholar]
  • 37. Lang  PO, Schwarze  ML, Alexander  GC. New technologies meeting old professional boundaries: the emergence of carotid artery stenting. J Am Coll Surg  2005;200:854–860 [DOI] [PubMed] [Google Scholar]
  • 38. Leggott  KT, Martin  M, Sklar  D, Helitzer  D, Rosett  R, Crandall  C  et al.  Transformation of anesthesia for ambulatory orthopedic surgery: a mixed-methods study of a diffusion of innovation in healthcare. Healthc (Amst)  2016;4:181–187 [DOI] [PubMed] [Google Scholar]
  • 39. Luxford  K, Hill  D, Bell  R. Promoting the implementation of best-practice guidelines using a matrix tool. Dis Manag Health Outcomes  2006;14:85–90 [Google Scholar]
  • 40. Marcus  HJ, Cundy  TP, Hughes-Hallett  A, Yang  GZ, Darzi  A, Nandi  D. Endoscopic and keyhole endoscope-assisted neurosurgical approaches: a qualitative survey on technical challenges and technological solutions. Br J Neurosurg  2014;28:606–610 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Merkel  S, Eikermann  M, Neugebauer  EA, von Bandemer  S. The transcatheter aortic valve implementation (TAVI)–a qualitative approach to the implementation and diffusion of a minimally invasive surgical procedure. Implement Sci  2015;10:140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Russ  SJ, Sevdalis  N, Moorthy  K, Mayer  EK, Rout  S, Caris  J  et al.  A qualitative evaluation of the barriers and facilitators toward implementation of the WHO surgical safety checklist across hospitals in England: lessons from the “Surgical Checklist Implementation Project”. Ann Surg  2015;261:81–91 [DOI] [PubMed] [Google Scholar]
  • 43. Santry  HP, Pringle  PL, Collins  CE, Kiefe  CI. A qualitative analysis of acute care surgery in the United States: it's more than just “a competent surgeon with a sharp knife and a willing attitude”. Surgery  2014;155:809–825 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Sharma  B, Danjoux  NM, Harnish  JL, Urbach  DR. How are decisions to introduce new surgical technologies made? Advanced laparoscopic surgery at a Canadian community hospital: a qualitative case study and evaluation. Surg Innov  2006;13:250–256 [DOI] [PubMed] [Google Scholar]
  • 45. Stafinski  T, Topfer  LA, Zakariasen  K, Menon  D. The role of surgeons in identifying emerging technologies for health technology assessment. Can J Surg  2010;53:86–92 [PMC free article] [PubMed] [Google Scholar]
  • 46. Vanderveen  KA, Paterniti  DA, Kravitz  RL, Bold  RJ. Diffusion of surgical techniques in early stage breast cancer: variables related to adoption and implementation of sentinel lymph node biopsy. Ann Surg Oncol  2007;14:1662–1669 [DOI] [PubMed] [Google Scholar]
  • 47. Wright  FC, Gagliardi  AR, Fraser  N, Quan  ML. Adoption of surgical innovations: factors influencing use of sentinel lymph node biopsy for breast cancer. Surg Innov  2011;18:379–386 [DOI] [PubMed] [Google Scholar]
  • 48. Powers  B, Smith  CD, Arroyo  N, Francis  DO, Fernandes-Taylor  S. How do academic otolaryngologists decide to implement new procedures into practice?  Otolaryngol Head Neck Surg  2022;167:253–261 [DOI] [PubMed] [Google Scholar]
  • 49. Altschuler  A, Chong  AJ, Alavi  M, Herrinton  LJ. Pediatric surgeons’ adoption of an innovative laparoscopic technique for inguinal hernia repair: a mixed methods study. J Laparoendosc Adv Surg Tech  2021;31:947–953 [DOI] [PubMed] [Google Scholar]
  • 50. Lambert-Kerzner  A, Ford  KL, Hammermeister  KE, Henderson  WG, Bronsert  MR, Meguid  RA. Assessment of attitudes towards future implementation of the “Surgical Risk Preoperative Assessment System” (SURPAS) tool: a pilot survey among patients, surgeons, and hospital administrators. Patient Saf Surg  2018;12:12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Rogers  WA, Lotz  M, Hutchison  K, Pourmoslemi  A, Eyers  A. Identifying surgical innovation: a qualitative study of surgeons’ views. Ann Surg  2014;259:273–278 [DOI] [PubMed] [Google Scholar]
  • 52. Broekman  ML, Carrière  ME, Bredenoord  AL. Surgical innovation: the ethical agenda: a systematic review. Medicine (Baltimore)  2016;95:e3790. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Barnett  J, Vasileiou  K, Djemil  F, Brooks  L, Young  T. Understanding innovators’ experiences of barriers and facilitators in implementation and diffusion of healthcare service innovations: a qualitative study. BMC Health Serv Res  2011;11:342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Costa  ML, Griffin  XL, Parsons  N, Dritsaki  M, Perry  D. Efficacy versus effectiveness in clinical trials. Bone Joint J  2017;99-B:419–420 [DOI] [PubMed] [Google Scholar]
  • 55. Bernstein  M, Bampoe  J. Surgical innovation or surgical evolution: an ethical and practical guide to handling novel neurosurgical procedures. J Neurosurg  2004;100:2–7 [DOI] [PubMed] [Google Scholar]
  • 56. McCulloch  P, Feinberg  J, Philippou  Y, Kolias  A, Kehoe  S, Lancaster  G  et al.  Progress in clinical research in surgery and IDEAL. Lancet  2018;392:88–94 [DOI] [PubMed] [Google Scholar]
  • 57. Wilson  CB. Adoption of new surgical technology. BMJ  2006;332:112–114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Robert  G, Greenhalgh  T, MacFarlane  F, Peacock  R. Adopting and assimilating new non-pharmaceutical technologies into health care: a systematic review. J Health Serv Res Policy  2010;15:243–250 [DOI] [PubMed] [Google Scholar]
  • 59. Randell  R, Honey  S, Hindmarsh  J, Alvarado  N, Greenhalgh  J, Pearman  A  et al.  A realist process evaluation of robot-assisted surgery: integration into routine practice and impacts on communication, collaboration and decision-making. In: Health Services and Delivery Research, No. 5.20. Southampton: NIHR Journals Library, 2017, 1–140 [PubMed] [Google Scholar]
  • 60. Bates  DW, Auerbach  A, Schulam  P, Wright  A, Saria  S. Reporting and implementing interventions involving machine learning and artificial intelligence. Ann Intern Med  2020;172(Suppl): S137–S144 [DOI] [PubMed] [Google Scholar]
  • 61. Filice  RW, Mongan  J, Kohli  MD. Evaluating artificial intelligence systems to guide purchasing decisions. J Am Coll Radiol  2020;17:1405–1409 [DOI] [PubMed] [Google Scholar]
  • 62. Fasterholdt  IA-O, Kjølhede  T, Naghavi-Behzad  M, Schmidt  T, Rautalammi  QTS, Hildebrandt  MG  et al.  Model for ASsessing the value of artificial intelligence in medical imaging (MAS-AI). Int J Technol Assess Health Care  2022;38:e74. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

zrad141_Supplementary_Data

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author (A.J.M.).

References

  • 1. McCulloch  P, Cook  JA, Altman  DG, Heneghan  C, Diener  MK. IDEAL framework for surgical innovation 1: the idea and development stages. BMJ  2013;346:f3012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Ergina  PL, Cook  JA, Blazeby  JM, Boutron  I, Clavien  PA, Reeves  BC  et al.  Challenges in evaluating surgical innovation. Lancet  2009;374:1097–1104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Riskin  DJ, Longaker  MT, Gertner  M, Krummel  TM. Innovation in surgery: a historical perspective. Ann Surg  2006;244:686–693 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Metcalfe  A, Parsons  H, Parsons  N, Brown  J, Fox  J, Gemperlé Mannion  E  et al.  Subacromial balloon spacer for irreparable rotator cuff tears of the shoulder (START:REACTS): a group-sequential, double-blind, multicentre randomised controlled trial. Lancet  2022;399:1954–1963 [DOI] [PubMed] [Google Scholar]
  • 5. Smith  AJ, Dieppe  P, Howard  PW, Blom  AW. Failure rates of metal-on-metal hip resurfacings: analysis of data from the National Joint Registry for England and Wales. Lancet  2012;380:1759–1766 [DOI] [PubMed] [Google Scholar]
  • 6. Barski  D, Arndt  C, Gerullis  H, Yang  J, Boros  M, Otto  T  et al.  Transvaginal PVDF-mesh for cystocele repair: a cohort study. Int J Surg  2017;39:249–254 [DOI] [PubMed] [Google Scholar]
  • 7. Cook  JA, McCulloch  P, Blazeby  JM, Beard  DJ, Marinac-Dabic  D, Sedrakyan  A. IDEAL framework for surgical innovation 3: randomised controlled trials in the assessment stage and evaluations in the long term study stage. BMJ  2013;346:f2820. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Elliott  D, Blencowe  NS, Cousins  S, Zahra  J, Skilton  A, Mathews  J  et al.  Using qualitative research methods to understand how surgical procedures and devices are introduced into NHS hospitals: the Lotus study protocol. BMJ Open  2021;11:e049234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Chaudoir  SR, Dugan  AG, Barr  CHI. Measuring factors affecting implementation of health innovations: a systematic review of structural, organizational, provider, patient, and innovation level measures. Implement Sci  2013;8:22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Greenhalgh  T, Wherton  J, Papoutsi  C, Lynch  J, Hughes  G, A'Court  C  et al.  Beyond adoption: a new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. J Med Internet Res  2017;19:e367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Lewis  TL, Furness  HN, Miller  GW, Parsons  N, Seers  K, Underwood  M  et al.  Adoption of a novel surgical innovation into clinical practice: protocol for a qualitative systematic review examining surgeon views. BMJ Open  2018;8:e020486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Shamseer  L, Moher  D, Clarke  M, Ghersi  D, Liberati  A, Petticrew  M  et al.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ  2015;349:g7647. [DOI] [PubMed] [Google Scholar]
  • 13. Moher  D, Liberati  A, Tetzlaff  J, Altman  DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ  2009;339:b2535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Lewis  TL, Furness  HN, Miller  GW, Parsons  N, Seers  K, Underwood  M  et al.  A systematic review examining surgeon views regarding the adoption of novel surgical innovation into clinical practice. PROSPERO, 2017 CRD42017076715 [DOI] [PMC free article] [PubMed]
  • 15. Tong  A, Flemming  K, McInnes  E, Oliver  S, Craig  J. Enhancing transparency in reporting the synthesis of qualitative research: ENTREQ. BMC Med Res Methodol  2012;12:181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Covidence—Online Systematic Review Software. https://www.covidence.org/ (accessed August 2022)
  • 17. Barkun  JS, Aronson  JK, Feldman  LS, Maddern  GJ, Strasberg  SM, Altman  DG  et al.  Evaluation and stages of surgical innovations. Lancet  2009;374:1089–1096 [DOI] [PubMed] [Google Scholar]
  • 18. Critical Appraisal Skills Programme (CASP) . CASP Qualitative Checklist. 2022. http://www.casp-uk.net/casp-tools-checklists/ (accessed August 2023)
  • 19. Dixon-Woods  M, Shaw  RL, Agarwal  S, Smith  JA. The problem of appraising qualitative research. Qual Saf Health Care  2004;13:223–225 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Dixon-Woods  M, Sutton  A, Shaw  R, Miller  T, Smith  J, Young  B  et al.  Appraising qualitative research for inclusion in systematic reviews: a quantitative and qualitative comparison of three methods. J Health Serv Res Policy  2007;12:42–47 [DOI] [PubMed] [Google Scholar]
  • 21. Thomas  J, Harden  A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med Res Methodol  2008;8:45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Snilstveit  B, Oliver  S, Vojtkova  M. Narrative approaches to systematic review and synthesis of evidence for international development policy and practice. J Dev Effect  2012;4:409–429 [Google Scholar]
  • 23. Greenhalgh  T, Robert  G, Macfarlane  F, Bate  P, Kyriakidou  O. Diffusion of innovations in service organizations: systematic review and recommendations. Milbank Q  2004;82:581–629 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Lewin  S, Glenton  C, Munthe-Kaas  H, Carlsen  B, Colvin  CJ, Gülmezoglu  M  et al.  Using qualitative evidence in decision making for health and social interventions: an approach to assess confidence in findings from qualitative evidence syntheses (GRADE-CERQual). PLoS Med  2015;12:e1001895. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Davey  SM, Craven  MP, Meenan  BJ, Martin  JL, Crowe  JA. Surgeon opinion on new technologies in orthopaedic surgery. J Med Eng Technol  2011;35:139–148 [DOI] [PubMed] [Google Scholar]
  • 26. Choy  I, Kitto  S, Adu-Aryee  N, Okrainec  A. Barriers to the uptake of laparoscopic surgery in a lower-middle-income country. Surg Endosc  2013;27:4009–4015 [DOI] [PubMed] [Google Scholar]
  • 27. Beech  R, Morgan  M. Constraints on innovatory practice: the case of day surgery in the NHS. Int J Health Plann Manage  1992;7:133–148 [DOI] [PubMed] [Google Scholar]
  • 28. Abrishami  P, Boer  A, Horstman  K. Understanding the adoption dynamics of medical innovations: affordances of the da Vinci robot in The Netherlands. Soc Sci Med  2014;117:125–133 [DOI] [PubMed] [Google Scholar]
  • 29. Acharya  SS, Zorn  KC, Shikanov  S, Thong  A, Zagaja  GP, Shalhav  AL  et al.  Evolution of open radical retropubic prostatectomy–how have open surgeons responded to the challenge of minimally invasive surgery?  J Endourol  2009;23:1893–1897 [DOI] [PubMed] [Google Scholar]
  • 30. Brattheim  B, Faxvaag  A, Tjora  A. Getting the aorta pants in place: a ‘community of guidance’ in the evolving practice of vascular implant surgery. Health (London)  2011;15:441–458 [DOI] [PubMed] [Google Scholar]
  • 31. Collins  CE, Pringle  PL, Santry  HP. Innovation or rebranding, acute care surgery diffusion will continue. J Surg Res  2015;197:354–362 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Danjoux  NM, Martin  DK, Lehoux  PN, Harnish  JL, Shaul  RZ, Bernstein  M  et al.  Adoption of an innovation to repair aortic aneurysms at a Canadian hospital: a qualitative case study and evaluation. BMC Health Serv Res  2007;7:182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Dharampal  N, Cameron  C, Dixon  E, Ghali  W, Quan  ML. Attitudes and beliefs about the surgical safety checklist: just another tick box?  Can J Surg  2016;59:268–275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Edmondson  AC, Bohmer  RM, Pisano  GP. Disrupted routines: team learning and new technology implementation in hospitals. Adm Sci Q  2001;46:685–716 [Google Scholar]
  • 35. Gold  HT, Pitrelli  K, Hayes  MK, Murphy  MM. Decision to adopt medical technology: case study of breast cancer radiotherapy techniques. Med Decis Making  2014;34:1006–1015 [DOI] [PubMed] [Google Scholar]
  • 36. Hinoul  P, Goossens  A, Roovers  JP. Factors determining the adoption of innovative needle suspension techniques with mesh to treat urogenital prolapse: a conjoint analysis study. Eur J Obstet Gynecol Reprod Biol  2010;151:212–216 [DOI] [PubMed] [Google Scholar]
  • 37. Lang  PO, Schwarze  ML, Alexander  GC. New technologies meeting old professional boundaries: the emergence of carotid artery stenting. J Am Coll Surg  2005;200:854–860 [DOI] [PubMed] [Google Scholar]
  • 38. Leggott  KT, Martin  M, Sklar  D, Helitzer  D, Rosett  R, Crandall  C  et al.  Transformation of anesthesia for ambulatory orthopedic surgery: a mixed-methods study of a diffusion of innovation in healthcare. Healthc (Amst)  2016;4:181–187 [DOI] [PubMed] [Google Scholar]
  • 39. Luxford  K, Hill  D, Bell  R. Promoting the implementation of best-practice guidelines using a matrix tool. Dis Manag Health Outcomes  2006;14:85–90 [Google Scholar]
  • 40. Marcus  HJ, Cundy  TP, Hughes-Hallett  A, Yang  GZ, Darzi  A, Nandi  D. Endoscopic and keyhole endoscope-assisted neurosurgical approaches: a qualitative survey on technical challenges and technological solutions. Br J Neurosurg  2014;28:606–610 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Merkel  S, Eikermann  M, Neugebauer  EA, von Bandemer  S. The transcatheter aortic valve implementation (TAVI)–a qualitative approach to the implementation and diffusion of a minimally invasive surgical procedure. Implement Sci  2015;10:140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Russ  SJ, Sevdalis  N, Moorthy  K, Mayer  EK, Rout  S, Caris  J  et al.  A qualitative evaluation of the barriers and facilitators toward implementation of the WHO surgical safety checklist across hospitals in England: lessons from the “Surgical Checklist Implementation Project”. Ann Surg  2015;261:81–91 [DOI] [PubMed] [Google Scholar]
  • 43. Santry  HP, Pringle  PL, Collins  CE, Kiefe  CI. A qualitative analysis of acute care surgery in the United States: it's more than just “a competent surgeon with a sharp knife and a willing attitude”. Surgery  2014;155:809–825 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Sharma  B, Danjoux  NM, Harnish  JL, Urbach  DR. How are decisions to introduce new surgical technologies made? Advanced laparoscopic surgery at a Canadian community hospital: a qualitative case study and evaluation. Surg Innov  2006;13:250–256 [DOI] [PubMed] [Google Scholar]
  • 45. Stafinski  T, Topfer  LA, Zakariasen  K, Menon  D. The role of surgeons in identifying emerging technologies for health technology assessment. Can J Surg  2010;53:86–92 [PMC free article] [PubMed] [Google Scholar]
  • 46. Vanderveen  KA, Paterniti  DA, Kravitz  RL, Bold  RJ. Diffusion of surgical techniques in early stage breast cancer: variables related to adoption and implementation of sentinel lymph node biopsy. Ann Surg Oncol  2007;14:1662–1669 [DOI] [PubMed] [Google Scholar]
  • 47. Wright  FC, Gagliardi  AR, Fraser  N, Quan  ML. Adoption of surgical innovations: factors influencing use of sentinel lymph node biopsy for breast cancer. Surg Innov  2011;18:379–386 [DOI] [PubMed] [Google Scholar]
  • 48. Powers  B, Smith  CD, Arroyo  N, Francis  DO, Fernandes-Taylor  S. How do academic otolaryngologists decide to implement new procedures into practice?  Otolaryngol Head Neck Surg  2022;167:253–261 [DOI] [PubMed] [Google Scholar]
  • 49. Altschuler  A, Chong  AJ, Alavi  M, Herrinton  LJ. Pediatric surgeons’ adoption of an innovative laparoscopic technique for inguinal hernia repair: a mixed methods study. J Laparoendosc Adv Surg Tech  2021;31:947–953 [DOI] [PubMed] [Google Scholar]
  • 50. Lambert-Kerzner  A, Ford  KL, Hammermeister  KE, Henderson  WG, Bronsert  MR, Meguid  RA. Assessment of attitudes towards future implementation of the “Surgical Risk Preoperative Assessment System” (SURPAS) tool: a pilot survey among patients, surgeons, and hospital administrators. Patient Saf Surg  2018;12:12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Rogers  WA, Lotz  M, Hutchison  K, Pourmoslemi  A, Eyers  A. Identifying surgical innovation: a qualitative study of surgeons’ views. Ann Surg  2014;259:273–278 [DOI] [PubMed] [Google Scholar]
  • 52. Broekman  ML, Carrière  ME, Bredenoord  AL. Surgical innovation: the ethical agenda: a systematic review. Medicine (Baltimore)  2016;95:e3790. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Barnett  J, Vasileiou  K, Djemil  F, Brooks  L, Young  T. Understanding innovators’ experiences of barriers and facilitators in implementation and diffusion of healthcare service innovations: a qualitative study. BMC Health Serv Res  2011;11:342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Costa  ML, Griffin  XL, Parsons  N, Dritsaki  M, Perry  D. Efficacy versus effectiveness in clinical trials. Bone Joint J  2017;99-B:419–420 [DOI] [PubMed] [Google Scholar]
  • 55. Bernstein  M, Bampoe  J. Surgical innovation or surgical evolution: an ethical and practical guide to handling novel neurosurgical procedures. J Neurosurg  2004;100:2–7 [DOI] [PubMed] [Google Scholar]
  • 56. McCulloch  P, Feinberg  J, Philippou  Y, Kolias  A, Kehoe  S, Lancaster  G  et al.  Progress in clinical research in surgery and IDEAL. Lancet  2018;392:88–94 [DOI] [PubMed] [Google Scholar]
  • 57. Wilson  CB. Adoption of new surgical technology. BMJ  2006;332:112–114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Robert  G, Greenhalgh  T, MacFarlane  F, Peacock  R. Adopting and assimilating new non-pharmaceutical technologies into health care: a systematic review. J Health Serv Res Policy  2010;15:243–250 [DOI] [PubMed] [Google Scholar]
  • 59. Randell  R, Honey  S, Hindmarsh  J, Alvarado  N, Greenhalgh  J, Pearman  A  et al.  A realist process evaluation of robot-assisted surgery: integration into routine practice and impacts on communication, collaboration and decision-making. In: Health Services and Delivery Research, No. 5.20. Southampton: NIHR Journals Library, 2017, 1–140 [PubMed] [Google Scholar]
  • 60. Bates  DW, Auerbach  A, Schulam  P, Wright  A, Saria  S. Reporting and implementing interventions involving machine learning and artificial intelligence. Ann Intern Med  2020;172(Suppl): S137–S144 [DOI] [PubMed] [Google Scholar]
  • 61. Filice  RW, Mongan  J, Kohli  MD. Evaluating artificial intelligence systems to guide purchasing decisions. J Am Coll Radiol  2020;17:1405–1409 [DOI] [PubMed] [Google Scholar]
  • 62. Fasterholdt  IA-O, Kjølhede  T, Naghavi-Behzad  M, Schmidt  T, Rautalammi  QTS, Hildebrandt  MG  et al.  Model for ASsessing the value of artificial intelligence in medical imaging (MAS-AI). Int J Technol Assess Health Care  2022;38:e74. [DOI] [PubMed] [Google Scholar]

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