| Literature DB >> 35857810 |
Hazel Parker1, Julia Frost2, Jo Day2, Rob Bethune3, Anu Kajamaa4, Kieran Hand5, Sophie Robinson2, Karen Mattick2.
Abstract
Surgical specialties account for a high proportion of antimicrobial use in hospitals, and misuse has been widely reported resulting in unnecessary patient harm and antimicrobial resistance. We aimed to synthesize qualitative studies on surgical antimicrobial prescribing behavior, in hospital settings, to explain how and why contextual factors act and interact to influence practice. Stakeholder engagement was integrated throughout to ensure consideration of varying interpretive repertoires and that the findings were clinically meaningful. The meta-ethnography followed the seven phases outlined by Noblit and Hare. Eight databases were systematically searched without date restrictions. Supplementary searches were performed including forwards and backwards citation chasing and contacting first authors of included papers to highlight further work. Following screening, 14 papers were included in the meta-ethnography. Repeated reading of this work enabled identification of 48 concepts and subsequently eight overarching concepts: hierarchy; fear drives action; deprioritized; convention trumps evidence; complex judgments; discontinuity of care; team dynamics; and practice environment. The overarching concepts interacted to varying degrees but there was no consensus among stakeholders regarding an order of importance. Further abstraction of the overarching concepts led to the development of a conceptual model and a line-of-argument synthesis, which posits that social and structural mediators influence individual complex antimicrobial judgements and currently skew practice towards increased and unnecessary antimicrobial use. Crucially, our model provides insights into how we might 'tip the balance' towards more evidence-based antimicrobial use. Currently, healthcare workers deploy antimicrobials across the surgical pathway as a safety net to allay fears, reduce uncertainty and risk, and to mitigate against personal blame. Our synthesis indicates that prescribing is unlikely to change until the social and structural mediators driving practice are addressed. Furthermore, it suggests that research specifically exploring the context for effective and sustainable quality improvement stewardship initiatives in surgery is now urgent.Entities:
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Year: 2022 PMID: 35857810 PMCID: PMC9299309 DOI: 10.1371/journal.pone.0271454
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
SPIDER table of study inclusion and exclusion criteria [amended from Parker, Frost (44)]*.
| Inclusion criteria | Exclusion criteria | |
|---|---|---|
| Sample | • Surgical teams (any members including surgeons, trainee surgeons, anesthetists, surgical nurses, surgical pharmacists etc.) | • Non-surgical specialties |
| Phenomenon of interest | • Antimicrobial/antibiotic prescribing behavior (treatment and/or prophylaxis) | • Prescribing behavior related to other medication classes |
| Design | • Qualitative or mixed method studies reporting primary qualitative data collected using qualitative methods (e.g. through direct observation; focus groups; or interviews) | • Studies that report quantitative data only including questionnaire studies with open-ended free text questions |
| Evaluation | • Qualitative analysis of antimicrobial prescribing behavior (using any qualitative evaluation e.g. grounded theory; and framework analysis) | • Studies that evaluate using quantitative methods only |
| Research type | • Peer-reviewed journal articles | • Reviews; protocols; theoretical work; editorials; opinion pieces; and grey literature |
*The amendment is shown in bold.
Key terms.
| Term | Definition |
|---|---|
| Authors | Authors of the primary studies included in the meta-ethnography |
| Reviewers | The researchers conducting this meta-ethnography (who reviewed the primary studies) |
| First order data | Primary study participant interpretations e.g. quotes from study participants |
| Second order data | Primary study author interpretations (of participant interpretations) e.g. quotes from the primary study’s discussion section |
| Third order data | Reviewer interpretations based on analysis of the first order and second order data (interpretations of interpretations of interpretations) i.e. the overarching concepts developed using translation; and the conceptual model (visual representation of the line-of-argument synthesis) |
| Concepts | Explanatory ideas that have some analytic or conceptual power (unlike more descriptive themes, which characterize the essence of the data). Concepts provide an explanation of function or potential–they should be explained within the primary papers and substantiated by first order data |
| Line-of-argument synthesis | Primary studies identify different aspects of a larger phenomenon which when taken together offer a new interpretation; a ‘whole’ is discovered from a set of parts |
Fig 1PRISMA diagram outlining the searching and screening process.
Study characteristics of the papers to be synthesized.
| Source paper (n = 14) | Study type | Institutional setting | Country | Data collection and sample | Surgical specialty | Aim | |
|---|---|---|---|---|---|---|---|
| 1 | Giusti et al. (2016) [ | Mixed-methods (focus groups and a self-administered questionnaire) | Three tertiary care children’s hospitals with 192 beds; 607 beds; and 442 beds | Italy | Focus groups with 33 healthcare professionals including 15 surgeons, 10 nurse coordinators, and 8 anesthesiologists; and a self-administered questionnaire completed by 357 surgical healthcare professionals (82% response rate) | Pediatric surgery | To investigate barriers and tot describe the attitudes of healthcare professionals regarding SAP in three Italian children’s hospitals |
| 2 | Charani et al. (2017) [ | Qualitative | One multi-site teaching hospital with 1300 beds | England (London) | Ethnographic observation: 30 acute and elective ward rounds (over 100 hours) involving six surgeons and their teams; and observation on the ward and in handover and team meetings (over 50 hours). Semi-structured interviews: 13 key informants were interviewed, including 5 consultant surgeons, 3 registrars, 2 nurses, 2 junior doctors and 1 ward pharmacist | Adult emergency and elective surgery (including patients under the care of the surgical team for non-surgical care, for example cholangitis and cholecystitis) | To investigate the impact of culture and team dynamics of the surgical ward round on antibiotic decision making |
| 3 | Broom et al. (2018) [ | Qualitative | One tertiary referral, teaching hospital with 450 beds | Australia (New South Wales) | Semi structured interviews with 20 doctors (17 surgeons and 3 anesthetists). Of the 17 surgeons, 10 were senior and 7 were junior. The 3 anesthetists included 2 senior and 1 junior participant | General surgery, neurosurgery, orthopedic surgery, colorectal surgery, urology, transplant surgery, cardiothoracic surgery, vascular surgery and renal surgery | To explore through semi-structured interviews the experiences and perceptions of surgeons and anesthetists around SAP prescription and administration, to provide insight into social factors which may be barriers to implementation of evidence-based practice in this area of antibiotic use |
| 4 | Broom et al. (2018a) [ | Qualitative | One tertiary referral, teaching hospital with 450 beds | Australia (New South Wales) | Semi structured interviews with 20 doctors (17 surgeons and 3 anesthetists). Of the 17 surgeons, 10 were senior and 7 were junior. The 3 anesthetists included 2 senior and 1 junior participant | General surgery, neurosurgery, orthopedic surgery, colorectal surgery, urology, transplant surgery, cardiothoracic surgery, vascular surgery and renal surgery | To examine in depth the perspectives of surgeons and anesthetists on interpersonal and cultural SAP prescribing influences |
| 5 | Charani et al. (2019) [ | Qualitative | One multi-site teaching hospital with 1300 beds | England (London) | Ethnographic observation (total = 500hrs) including: 30 surgical ward rounds; 22 medical ward rounds; and observation of routine healthcare worker practices on the wards. Face-to-face interviews with 23 key informants including surgeons, medical consultants, trainee doctors, nurses, and pharmacists (14 from surgery; and 9 from medicine) | Acute surgery (wards with a high percentage of elective and non-elective admissions) | To investigate and compare cultural determinants of antibiotic decision-making in acute medical and surgical specialties |
| 6 | Broom et al. (2019) [ | Mixed-methods (pre- and post-intervention audit; and qualitative assessment) | One hospital with 450 beds | Australia (Queensland) | Quantitative: 23 patients before and 22 patients after the intervention were included. Qualitative: semi-structured interviews with 18 healthcare professionals (4 nurses; 2 pharmacists; and 12 doctors—5 senior and 7 junior) | General Surgery (specifically focusing on complicated intra-abdominal infections requiring definitive surgical source control) | To compare antibiotic prescribing patterns before and after a multifaceted persuasive intervention addressing social factors likely to impact antibiotic duration in patients with source-controlled intra-abdominal infections; and to conduct a qualitative assessment to identify which factors enhanced or detracted from the perceived success of the intervention (i.e. to identify which aspects of the intervention are likely to have been effective) |
| 7 | Ierano et al. (2019) [ | Qualitative | Three tertiary public and private hospitals | Australia | Fourteen focus groups and one paired interview with 77 surgical healthcare workers (6 surgical registrars and residents; 13 theatre nurses; 10 anesthetists; 40 surgeons; and 8 pharmacists) | Orthopedics; general surgery; cardiac surgery; vascular surgery; and plastic and reconstructive surgery | To identify barriers and enablers of appropriate SAP prescribing and evidence-based guideline compliance; and to compare the perceptions of health professionals in surgical specialties across both public and private hospital settings regarding these barriers and enablers |
| 8 | Malone et al. (2020) [ | Qualitative | One quaternary-care children’s hospital | United States of America | Five semi-structured focus groups with 23 surgeons | Pediatric surgical specialties including: interventional cardiology; otolaryngology; orthopedic surgery; cardiothoracic surgery; and general surgery | To understand the factors that contribute to pediatric surgeons’ decisions regarding the use of perioperative antibiotic prophylaxis |
| 9 | Peel et al. (2020) [ | Qualitative | One public, adult only, quaternary, university-affiliated hospital | Australia (Melbourne) | Focused ethnographic observation (20 hours in the preadmission clinic; 25 hours in the operating room; and 13 hours on postoperative ward rounds); and face-to-face semi-structured interviews with 6 senior clinicians (2 surgeons and 4 anesthetists) | Orthopedic surgery; and cardiothoracic surgery | To describe the phenomenon of and culture of antimicrobial decision making in two surgical specialty units (orthopedic and cardiothoracic surgery) |
| 10 | Rynkiewich et al. (2020) [ | Qualitative | Two teaching hospitals: a private academic medical center (24 bedded ’open’ SICU); and a public teaching hospital (14 bedded ’open’ SICU) | United States of America (Mid-Western) | Ethnographic observation on 40 ward rounds (over 160 hours); and 10 semi-structured interviews with 10 of the ward round participants (4 SICU attending surgeons; 2 SICU attending anesthesiologists; 1 SICU attending pulmonologist; 2 surgery fellows; and 1 pulmonology fellow) | Surgical intensive care unit (SICU). | To explore the features which characterize antibiotic decision making in the SICU |
| 11 | Singh et al. (2021) [ | Qualitative | Two university hospitals (South Africa: a 950-bed government-funded tertiary hospital which also provides non-tertiary services to the local population; and India: a 1350 bed not-for-profit charitable tertiary center) | South Africa and India | Ethnographic observation of clinical practices (210 hours); 6 patient case studies; and face-to-face interviews with 105 healthcare professionals and 14 patients | Adult specialties including: cardiovascular surgery; thoracic surgery; and gastrointestinal surgery | To investigate the drivers for infection management and antimicrobial stewardship (AMS) across high-infection-risk surgical pathways |
| 12 | Bonaconsa et al. (2021) [ | Qualitative | One 950- bedded tertiary public and government- funded referral university hospital | South Africa (Cape Town) | Ethnographic observation of clinical practices (190 hours: 138 hours in India; and 72 hours in South Africa), interviews with HCPs (44 India, 61 South Africa), patients (6 India; 8 South Africa) and case studies (4 India; 2 South Africa) | Cardiothoracic,gastrointestinal acute care, and gastrointestinal colorectal surgical units | To study how surgical team dynamics and communication patterns influence infection- related decision making using innovative visual mapping alongside traditional qualitative methods |
| 13 | Broom et al. (2021) [ | Mixed-methods (quality improvement intervention with qualitative assessment) | Three hospitals (one regional; and two metropolitan) | Australia | Quantitative: SAP prescribing decisions for 1757 patients undergoing general surgical procedures from three health services were included. Six bimonthly time points, pre- implementation and post implementation of the intervention, were measured. Qualitative: individual semi-structured interviews with 29 clinical team members from across the three sites—25 doctors (10 senior surgeons, 1 senior Infectious diseases doctor; and 14 junior doctors with varying levels of experience) and 4 pharmacists | General surgery | To assess an intervention for surgical antibiotic prophylaxis improvement within surgical teams focused on addressing barriers and fostering enablers and ownership of guideline compliance |
| 14 | Khan et al. (2021) [ | Mixed-methods (self-administered questionnaire and focus groups) | One large teaching and tertiary referral hospital | India (Western Uttar Pradesh) | Quantitative: pre-test questionnaire with 6 closed questions regarding SAP Quantitative: 28 focus groups and 16 paired interviews with: general surgeons (n = 39; 21%), gynecologists (n = 33; 17.9%), orthopedic surgeons (n = 43; 23.3%), pediatric surgeons (n = 2; 1%), plastic surgeons (n = 6; 3.2%), neurosurgeons (n = 4; 2.1%), otorhinolaryngology (n = 9; 4.9%), and anesthesiologists (n = 48; 26%). Most of the participants were junior residents (136; 73.9%) | Orthopedics, general surgery, obstetrics and gynecology, otorhinolaryngology, plastic surgery, pediatric surgery, and anesthesiology | To assess the knowledge and compliance rate for SAP guidelines among various surgical specialties and those involved in providing SAP |
SAP: Surgical antimicrobial prophylaxis; SICU: Surgical intensive care unit.
Translation of second order concepts, from the 14 included papers, into overarching (third order) concepts.
| Overarching concept | Second order concepts contributing to the overarching (third order) concept | Papers that include the second order concept (references in bold are key papers) |
|---|---|---|
| Hierarchy | • Hierarchical relationships and power | |
| Fear drives action | • Fear of infectious complications drives overuse of SAP | |
| Deprioritized | • SAP decision making is a peripheral issue | |
| Convention trumps evidence: skepticism and improvisation limit the impact of surgical antibiotic prophylaxis (SAP) evidence-based guidelines, and social norms shape action | • Improvisation behaviors | |
| Complex judgements | • Tolerance of uncertainty | |
| Discontinuity of care: physical and team structures create silos and barriers to communication and workflow | • Separation of the infectious diseases team | |
| Team dynamics and interactions create unrealized potential | • Unrealized potential | |
| Practice environment: organizational features and resources nudge decision-making | • Absence of structured handover tools |
*See the results section for a detailed explanation of the overarching concepts. SAP: Surgical antimicrobial prophylaxis.
Fig 2Conceptual model showing how social and structural mediators influence individual complex judgements about whether to prescribe antimicrobials for surgical patients, currently tipping the balance towards unnecessary antimicrobial use and resulting in increased patient harm, AMR and cost.