- Open Access
Factors that influence adherence to surgical antimicrobial prophylaxis (SAP) guidelines: a systematic review
Systematic Reviews volume 10, Article number: 29 (2021)
Despite the extensive research that has been conducted to date, practice often differs from established guidelines and will vary between individuals and organisations. It has been noted that the global uptake of local and international surgical antimicrobial prophylaxis (SAP) guidelines is poor with limited research investigating factors that affect guideline adherence. The purpose of this systematic review was to determine the reported barriers and enablers to the adherence of SAP guidelines.
A search of the literature was performed using four electronic databases (CINAHL, EMBASE, PubMed and SCOPUS) for articles published in the English language from January 1998 to December 2018. Articles were included if they were solely related to SAP and discussed the barriers or enablers to SAP guideline adherence. Articles that assessed the adherence to a range of infection control measures or discussed adherence to antibiotic treatment guidelines rather than SAP guidelines were excluded from this review. Barriers and enablers were mapped to the Theoretical Domains Framework (TDF). The Mixed Methods Appraisal Tool was used to assess the quality of included studies.
A total of 1489 papers were originally retrieved, with 48 papers meeting the eligibility criteria. Barriers and enablers were mapped to 11 out of 14 TDF domains: knowledge, skills, social/professional role and identity, beliefs about capabilities, beliefs about consequences, reinforcement, memory, attention and decision processes, environmental context and resources, social influences, emotion and behavioural regulation. Barriers were further categorised into personal or organisational barriers, while enablers were arranged under commonly trialled interventions.
There are numerous factors that can determine the uptake of SAP guidelines. An identification and understanding of these factors at a local level is required to develop tailored interventions to enhance guideline adherence. Interventions, when used in combination, can be considered as a means of improving guideline use.
Surgical site infections (SSIs)—infections that occur at or near the site of a surgical incision within 30 days of procedure or within 90 days of prosthesis implantation—are classified as one of the most common types of nosocomial infections [1, 2], accounting for up to 38% of infections in surgical patients . SSIs are often associated with a greater length of hospital stay, hospital readmissions, increased health care costs and mortality [4,5,6]. Surgical antimicrobial prophylaxis (SAP), the administration of antibiotics immediately prior to surgery, is a key strategy used to help prevent the development of post-operative infections, namely SSIs . Whilst infection control practices such as operating room ventilation, surgical instrument sterilisation and ensuring adequate skin preparation may also play a role in preventing SSIs [3, 8, 9], the use of SAP has been pivotal in decreasing infection rates [10, 11].
Studies have focused on establishing the criteria that determine the appropriateness of SAP, with recommendations being updated by key bodies such as the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO) [8, 9, 12]. In Australia, further guidance is provided by the Australian Commission on Safety and Quality in Health Care via the Antimicrobial Stewardship Clinical Care Standards. This standard provides statements on the delivery of care to a patient with bacterial infections as well as how antibiotics should be prescribed for SAP .
SAP recommendations are often presented in the form of clinical practice guidelines, with suggestions on the appropriate prescribing and administration of antibiotics. Optimal SAP is dependent on fulfilment of the following key quality indicators: correct selection of antimicrobial for indication, administration of correct dose via correct route, administration of preoperative antibiotics at the correct time with intraoperative doses given at the correct interval and administration of SAP for the recommended duration [7, 14].
Clinical practice guidelines—statements that assist practitioners in their decision making and reflect the most current evidence-based research—are recommended to be used alongside a clinician’s judgement in determining the best course of action for patients . However, despite the evidence that is presented in such documents and the established benefits of using SAP, multiple audits have indicated that adherence rates to SAP recommendations is often suboptimal [16,17,18,19]. Studies have underlined non-concordance to many of the quality indicators, particularly a lack of adherence to timing of administration [16, 20, 21]. Extended duration of prophylaxis has also been documented and is of significant concern as it can contribute to growing antimicrobial resistance [16,17,18, 20]. Poor adherence to guidelines, arising from evidence-practice gaps, can lead to suboptimal health care, increased patient harm, diminished quality of life and unnecessary costs .
Current recommendations listed in CDC and WHO guidelines for the prevention of SSIs advocate for no further doses to be administered once incision has been closed for most procedures, while suggesting a limited duration of use to 24 h for procedures where evidence is lacking [8, 9, 12]. In addition to guidance provided for appropriate SAP, the CDC and WHO guidelines also list pre-, intra- and postoperative measures for the prevention of SSIs. Key measures associated with SSI prophylaxis preoperatively include surgical hand preparation, preoperative bathing with plain or antimicrobial soap and surgical site preparation with chlorhexidine gluconate-based antiseptic solutions [8, 12]. Maintaining normal body temperature and optimal perioperative blood glucose concentrations is recommended intraoperatively, with the use of standard wound dressings recommended over advanced dressings in the postoperative setting [9, 12].
Knowledge translation is required to ensure that science research is transferred to the clinical setting. This has been recognised as a complex and slow process, with estimates of a 17-year time lag between research and practice [23, 24]. In addition, the translation of quality evidence-based research has been identified as challenging for health care professionals . The uptake of guidelines is inconsistent across various settings , with its utilisation also considered slow and unpredictable [26,27,28]. It has been reported that guidelines are followed in 67% of decisions, although this is highly variable between physicians and guidelines .
Successful implementation of practice change interventions requires an understanding of the personal and organisational factors that influence behaviour. The Theoretical Domains Framework (TDF) has previously been used in health care settings to explore the determinants of guideline use [29, 30]. TDF contains 14 domains which highlight how the interplay of individual, social and environmental factors may influence behaviour . By understanding these factors through the lens of TDF, tailored interventions can be designed to address these factors and thus promote behaviour change.
Despite the knowledge of barriers and enablers to clinical guideline use in general, little is known regarding the determinants of SAP guideline uptake. Thus, the aim of this review was to identify the barriers and enablers to adherence of SAP guidelines in order to provide health care providers with a theoretically derived understanding of how to improve adherence to guidelines. The findings of this review may help improve the understanding of the personal and system-based factors that hinder the uptake of SAP guidelines, whilst also highlighting trialled interventions that can be employed by organisations in order to increase guideline uptake.
Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Additional file 1) , a detailed literature search was conducted to retrieve papers that could identify the barriers and enablers to SAP guideline adherence.
Four electronic databases (CINAHL, EMBASE, PubMed and SCOPUS) were searched for articles that were published in English between January 1998 and December 2018. Search terms included “antibiotic prophylaxis”, “practice guidelines” and “guideline adherence”—a combination of free text and MeSH headings were used where appropriate. The Boolean operators OR and AND were used to combine the search terms. Reference lists of full-text papers that met the eligibility criteria were also hand searched in order to identify relevant studies that may not have appeared through the database search. The search strategy for each database is listed in Additional file 2.
Articles were included if (a) they were solely related to SAP (without the assessment of adherence to other infection control measures); (b) discussed barriers or enablers to SAP guideline adherence; (c) SAP guidelines were pre-existing before the study was conducted (either through local, institutional guidelines or through the use of national or international guidelines); (d) were in the English language; (e) were original, peer-reviewed articles; and (f) the full-text articles could be sourced.
Articles were excluded if (a) they were not related to SAP, (b) discussed multiple infection control measures alongside SAP guideline use, (c) did not assess/discuss the factors that influence adherence to SAP guidelines, (d) discussed treatment or therapeutic doses of antibiotics rather than prophylaxis, (e) were audits that solely discussed compliance rates with SAP guidelines without an explanation of the factors that influenced use, (f) discussed perceived barriers or enablers to SAP guideline adherence (rather than reported/factual factors), (g) reviewed how guideline adherence affected infection rates, (h) discussed factors that were based on statistical analyses only and (i) SAP guidelines were developed as part of a study before assessing the effects of interventions that may influence adherence. Additionally, grey literature (e.g. conference papers and theses) as well as review papers were excluded.
Selection of studies
Database search results were exported to Endnote version X9.2 (Clarivate Analytics), where duplicates were removed. Titles and abstracts were initially screened by a single author (SH), due to the efficiency and acceptability of this process , and papers that were potentially relevant based on the eligibility criteria underwent a full-text review. Full-text papers were independently reviewed by two authors (SH and IS). Where discrepancies were found in the outcomes, discussions were made with two authors (VC and JS) until a consensus could be reached.
Assessment of quality
The Mixed Methods Appraisal Tool (MMAT) was used to assess the quality of included studies . The MMAT is a quality appraisal tool that appraises the methodological quality of qualitative, quantitative (randomised controlled, non-randomised, quantitative descriptive) and mixed methods studies.
Ten papers (21%) were randomly selected and independently assessed by all four authors. Discussions took place where discrepancies were identified until a consensus could be reached. The remaining papers were then independently assessed by one author (SH), due to the acceptability of single author appraisal . Papers were assigned a score based on the percentage of criteria that was met for the relevant study design (i.e. if “Yes” was selected 4 out of 5 times, a score of 80% was given). For papers that were classified as mixed methods studies, 3 sets of criteria were used to determine the final score (using the qualitative study criteria, quantitative study criteria and the mixed methods study criteria). Papers were then categorised into one of three categories—where low quality was considered to be a score between 0 and 40%, medium quality between 41 and 70% and high quality between 71 and 100%.
Data extraction and analysis
Data was extracted and tabulated. Data retrieved from the papers included a list of reported barriers that prevented adherence to guideline use as well as any enablers (i.e. interventions employed by included studies to promote adherence to SAP guidelines). For articles that described an intervention that was deemed unsuccessful, potential reasons behind the outcome were documented. Data collected on barriers and enablers were mapped to the TDF. Barriers were further categorised under the headings personal or organisational barriers, while enablers were categorised under the interventions that were employed by included studies. Mapping of domains was reviewed by all four authors and agreed upon accordingly.
A total of 1489 studies were initially retrieved through the database search. After removing duplicated articles (n = 262), the title and abstracts of 1227 articles were reviewed. From this, 1132 records were excluded on the basis of title and abstract, resulting in 95 papers with potential for inclusion. The reference list of full-text articles were also hand searched, resulting in a further 9 papers that were reviewed for eligibility. After reviewing the full-text articles, a total of 48 papers were deemed relevant and thus included for synthesis (Fig. 1). A list of articles that were excluded can be found in Additional file 3.
Characteristics of selected studies
Of the 48 papers included in this review, the majority highlighted enablers (i.e. successful interventions) that permitted SAP guideline adherence (36/48). Six papers solely discussed barriers to guideline adherence, and three papers discussed interventions that were neither a barrier nor an enabler to guideline use while the remaining three papers highlighted factors that both prevented and promoted guideline adherence. Almost half of the studies were conducted in the USA (22/48), three in Australia, two each in Brazil, Canada, France, Italy, Jordan and the UK while the remaining studies were conducted in Belgium, China, Greece, Ireland, Korea, New Zealand, Nigeria, Qatar, South Africa, Spain and Turkey.
Assessment of quality
All 48 papers were assessed using at least one of the study designs listed in the MMAT . The most common criteria used to assess the quality were questions pertinent to a non-randomised study (36/48), followed by quantitative descriptive studies (4/48) and qualitative studies (3/48). Two papers were classified as randomised control trials, two papers used two different quantitative approaches and one paper used a mixed methods study design and so was assessed accordingly.
Thirty-nine papers were deemed to be of high quality, with 25 papers scoring 80% while the remaining 14 papers received a score of 100%. Of the remaining 9 papers, eight papers were classified as being of medium quality (60% score achieved in 7/8 papers, 70% for 1/8 papers). Only one study was categorised as low quality, receiving a score of 40%; however, we did not exclude any studies on the basis of quality. The results of individual studies can be found in Additional file 4.
Key findings of individual studies
A summary of the findings can be found in Tables 1, 2, 3 and 4. Table 1 highlights the reported barriers while Table 2 highlights the reported enablers of included studies. Table 3 describes studies that discussed both barriers and enablers, while Table 4 describes studies in which interventions employed were neither a barrier nor enabler to SAP guideline adherence.
Barriers to guideline adherence
A total of nine papers discussed barriers to SAP guideline adherence (Tables 1 and 3) [35,36,37,38,39,40, 77,78,79]. Barriers were often grouped as personal or organisational barriers and were mapped to the following nine TDF domains: knowledge [35,36,37,38, 77,78,79], environmental context and resources [35,36,37,38,39,40, 77,78,79], social/professional role and identity [36, 40, 77], memory, attention and decision processes [36, 37], beliefs about consequences [37, 39], beliefs about capabilities [37, 38, 77, 78], emotion [37, 40], skills [37, 39, 77] and social influences [37, 40, 77].
Three papers discussed lack of guideline knowledge or awareness of guideline content as a reason behind poor SAP guideline use [35, 36, 38]. Poor communication between specialties, namely surgical and anaesthetics, also appeared as a recurrent theme in the papers [35, 36, 40]. This lack of communication often meant that tasks relating to antibiotic prescribing and administration were not delegated [36, 77].
Enablers to guideline adherence
A total of thirty-nine papers discussed enablers that promoted the use of SAP guidelines (Tables 2 and 3) [41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79]. Multiple interventions were developed and incorporated into practice to enhance guideline use. Eight relevant TDF domains were identified: behavioural regulation [41, 44, 45, 47, 50,51,52,53,54,55,56,57,58,59,60, 62,63,64,65,66,67, 69, 71, 73,74,75,76, 79], environmental context and resources [41,42,43,44,45,46,47,48,49,50,51,52,53,54, 56,57,58,59,60, 62,63,64,65,66,67,68, 70,71,72, 74,75,76,77,78,79], skills [41, 57, 77], social/professional role and identity [41, 49, 60, 62, 65, 67, 70, 72, 76], knowledge [42, 43, 45,46,47, 49, 50, 52, 54, 56, 61,62,63,64, 68, 70, 76, 78, 79], social influences [45, 48, 49, 69, 78, 79], reinforcement [49, 53, 58, 59, 62,63,64,65, 67, 71, 74] and beliefs about consequences . A breakdown of the successful interventions that enabled SAP guideline use can be found in Tables 2 and 3.
Interventions that had minimal effect on guideline adherence
Three papers included interventions that failed to increase the uptake of SAP guidelines [80,81,82]. Of the three papers, two included educational sessions regarding SAP guidelines [80, 81]. Preoperative checklists were also modified in an attempt to increase guideline use [81, 82].
SAP plays a key role in reducing the rates of SSIs, particularly when used alongside infection control measures such as good surgical technique, the use of hand hygiene products and ensuring patient skin preparation prior to procedure [8, 9, 83]. The appropriate use of clinical practice guidelines in a surgical setting can also contribute to good clinical practice and result in better health outcomes for the patient, whilst reducing exposure to unnecessary interventions . Improving guideline uptake, particularly in regard to ensuring antibiotics are prescribed and administered only for the recommended duration, can help reduce the risk of antimicrobial resistance . However, poor adherence rates to SAP guidelines has been noted [16,17,18,19]; thus, the need to determine the barriers and enablers to SAP guideline use.
The TDF has been used to explore factors relating to guideline adherence in a recent qualitative study published by Ierano et al.  Themes were mapped to ten domains of the TDF, including knowledge, environmental context and resources, behavioural regulation and emotion . Ierano et al.  noted that whilst guidelines were deemed to be of value, practice may differ to guideline recommendations due to a clinician’s perception of gaps in the current evidence, thus resulting in deviations from guidelines. Furthermore, although participants in that study were acutely aware of both local and national guidelines, prescriber autonomy was considered to be of greater importance .
We were able to map our findings to 11 TDF domains: knowledge, skills, social/professional role and identity, beliefs about capabilities, beliefs about consequences, reinforcement, memory, attention and decision processes, environmental context and resources, social influences, emotion and behavioural regulation. Barriers were further arranged under personal or organisational barriers, while enablers were further categorised under commonly trialled interventions. We present our findings in light of the TDF domains, highlighting the personal and organisational barriers as well as the interventions that can, and has, enabled the uptake of guidelines.
Knowledge and environmental context and resources
A lack of knowledge and awareness of guideline content was a frequently mentioned barrier to the adherence of SAP guidelines. Being unaware of current knowledge can result in a patient being managed with information that is no longer relevant, potentially causing patient harm . It is crucial that staff undertake regular educational activities in order to assist in implementation of current evidence-based research. Educational sessions provided to clinical staff, consisting of lectures or workshops, were a popular strategy employed by many studies in an attempt to increase staff knowledge and awareness of guideline content [46, 47, 49, 50, 52, 54, 56, 61,62,63,64, 68, 70, 76, 79]. These sessions often involved a review of the importance of SAP, its optimal prescribing and infection prevention. Whilst education plays an important role in transferring knowledge and changing practice, an effective method must be used in order for the information to be retained and acted upon. Effective methods of learning that are most successful ensure that health professionals are actively engaged in the presented content . Interestingly, of the three papers that reported interventions that had minimal effect on guideline uptake, two included a form of education as an intervention [80, 81]. The poor outcome presented in these situations could be a result of the non-specific educational intervention used as well as the passive method used to disseminate information, thus highlighting the need for active methods of education to be utilised in a hospital setting [87, 88].
Guidelines contain the most current evidence based research  and can often act as a means of education; however, inaccessibility can act as a hindrance to its use. Guidelines that were inaccessible, in print or electronic form, presented a concern to hospital staff. In some instances, guidelines were completely inaccessible in theatre or on the wards, preventing its use by clinical staff such as surgeons, ward nurses and anaesthesia personnel (anaesthetists and nurse anaesthetists), while in other instances it was hard to locate [36, 79]. Whilst guideline dissemination has been reported as an enabler to SAP guideline adherence, it is important to note that the method of guideline dissemination and presentation also plays a role in determining the likely uptake of content . Guidelines should be presented in a simple, user friendly format that reduces the time required to search for information . An example of a successful intervention present in the review is the use of a “traffic light” poster system which assists staff in determining antibiotic choice, dose and duration of prophylaxis for various gastrointestinal surgical procedures . By providing a colour coded visual reminder in theatre, staff were able to easily refer to guideline information when required, thus resulting in a 2 fold improvement in guideline adherence .
Following on, the location of guidelines needs to be considered. In order to make use of SAP guidelines, they need to be present in a location that is readily accessible . The presence of guidelines in operating theatres assists in the uptake of guidelines due to the ease in which it can be accessed [42, 43, 45, 47].
Organisational barriers and the local context can play a role in preventing appropriate adherence to SAP guidelines. The local setting, particularly the culture and practice of staff can influence how SAP guidelines are used. Often, behaviour, beliefs and assumptions are shared by staff in an organisation; however when culture affects performance negatively, staff may become “entrapped” leading to poorer practice [89, 90]. This highlights how settings where improvisation is the norm can heavily impact the extent of guideline incorporation into clinical practice . Furthermore, a lack of agreement of guideline content by health care professionals can result in limited use of guidelines , exemplifying the value of including stakeholders in guideline development . Involving key stakeholders in guideline development can increase the likelihood of guidelines being adhered to [79, 85], thus resulting in less variation in how practice is carried out.
Health care professionals often work in settings that are fast-paced, in which there is a high workload and limited resources . Excessive workloads and time constraints place undue pressure on staff, resulting in changes to workflow and preventing staff from providing the best possible care to their patients [36, 92]. One such example is the effect of workflow on the timing of SAP administration. In a qualitative study by Tan et al. , participants noted that the unpredictability of workflow systems negatively impacts the timing of antibiotic administration, with the potential to compromise quality standards within hospitals. This is further noted in the study by Al-Azzam et al. , in which one third (33%) of participants stated that work flow was a contributing factor to inappropriate timing of SAP administration.
In situations where time is short, health care professionals are more likely to resort to intuitive processes or past practice and experience as a guiding point for their practice rather than rely on and implement recommendations in guidelines . Old habits as well as previous training often overrides the use of evidence-based medicine in these situations, highlighting the need to ensure appropriate time and work allocation to staff .
Skills and beliefs about capabilities
Another barrier to SAP guideline adherence was the reliance on habits picked up during training to guide practice . Overall, 25% of participants in Madubueze et al.’s study  indicated that old practices taught in training was a reason for not adhering to SAP guidelines, with nearly half (44%) of participants in the youngest age group surveyed indicating this was also the cause. It was also noted by Broom et al.  that junior doctors were more likely to request inappropriate SAP (such as using antibiotics in procedures where it is not required) than senior doctors. Interestingly, the opposite has also been noted. In a mixed methods study by Giusti et al. , participants with more than 18 years of practice stated that SAP was determined by personal experience rather than guideline content. In a qualitative study by Ierano et al. , it was perceived that younger surgeons were more likely to access guidelines; however, final decisions on antibiotic use was ultimately decided by senior staff. Participants in this study mentioned they did not feel empowered to speak up or challenge senior consultants as it was believed that this would impact their future careers .
Effective communication is an important skill required by all health professionals, particularly when practising in a multidisciplinary environment . Effective communication can allow for improved patient safety, greater employee morale and greater flow of information . Thus, enhancing communication between staff such as through comprehensive preoperative team briefings  and ensuring consultations take place between staff prior to decision making  can help improve guideline adherence.
Social/professional role and identity and Social influences
Interpersonal barriers were present between staff from multiple specialties, with many presenting between the surgeon and anaesthetist. Lack of communication can lead to SAP mismanagement particularly at induction of anaesthesia, if roles of staff are not clearly determined [35, 36, 40, 77]. Without delegating the task of SAP prescribing and administration, patients may fail to receive the required antibiotic at the relevant time . However, in situations where the role is clear, medical hierarchy can often place a strain or tension on the relationship . Challenging decisions made by senior staff within the same specialty or between specialties is difficult, with many health professionals feeling uncomfortable in doing so . This is especially the case with junior staff, who feel more inclined to accept senior recommendations despite it not aligning with guidelines in an effort to preserve relationships and their career [77, 85].
Role delegation was noted to be an enabler in many studies [41, 49, 60, 62, 65, 67, 70, 72, 76]. Whilst surgeons often took responsibility for prescribing SAP [49, 85], the role of antibiotic administration was delegated to either the anaesthetist or nurse [41, 49, 60, 62, 65, 67, 72]. The correct timing of preoperative administration is important as evidence suggests that administration of antibiotics greater than 120 min prior to incision is associated with a significantly higher risk of SSIs . Thus, it is crucial to ensure that serum and tissue concentrations of antibiotics are adequate at time of incision . As anaesthetists are responsible for administering anaesthesia in theatre as well as other medications , many studies found that delegating the role of antibiotic administration to anaesthetists assisted with timely provision of the preoperative dose [41, 60, 62, 72]. In an effort to improve adherence to SAP guidelines, Whitman et al.  employed a number of interventions that resulted in an increase in adherence from 55 to 90%. After delegating the role of antibiotic administration to the anaesthetist, this adherence increased further to 95%.
Pharmacists were generally assigned the role of reviewing the appropriateness of prescribed antibiotics to ensure that drug choice and duration of use was suitable [70, 76]. Zhou et al.  found that by delegating a pharmacist to review SAP prescribing, adherence to guidelines increased from 83 to 92.2%.
Emotion and beliefs about consequences
Fear of repercussion and concerns of medical malpractice can drive the overuse of antibiotics, thus resulting in a deviation from standard practice. Although guidelines advocate limiting antibiotic use for surgical prophylaxis where appropriate, the undesirable consequences that can arise from SSI development such as increased morbidity and mortality, hospital readmissions and increased economic burden can result in an extended duration of prophylaxis [37, 78, 85, 95]. Providing additional doses of antibiotics usually adds a perceived layer of comfort for surgeons, thus acting as a line of defence for the surgeon in the situation where a patient develops an infection .
Memory, attention and decision processes, behavioural regulation and reinforcement
To ensure adequate serum and tissue concentrations, intraoperative re-dosing is recommended in SAP guidelines when the duration of a procedure exceeds two half-lives of the administered preoperative drug or if there is excessive blood loss . However, the administration of SAP has been considered low priority during complex and lengthy procedures [37, 40, 77, 85]. Due to the complex procedure at hand, staff may “forget” the need to readminister antibiotics, thus preventing a patient from receiving adequate prophylaxis due to the under-administration of antibiotics [37, 40]. Memory and attention levels can impact the extent to which guidelines are adhered to. Therefore, the use of real-time information, such as electronic prompts and reminders can reinforce guideline information and dramatically increase the level of adherence with SAP guidelines. Nair et al.  found that using a real-time feedback and reminder system increased the compliance of timely administration of pre-incisional antibiotics to nearly 100%. In a second study by Nair et al.  to determine the impact of electronic reminders on intraoperative re-dosing of antibiotics, the authors found that a real-time reminder system improved the rate of intraoperative re-dosing from 62.5 to ~84%.
The practice of audit and feedback is a popular strategy often implemented in health care settings in order to modify behaviour. As evident by the studies included in this review [41, 45, 47, 48, 50, 55, 56, 58, 60, 64, 69, 73, 76, 79], the coupling of audits with a feedback mechanism generally results in an increased adherence to SAP guidelines. In the study by Sutherland et al. , direct physician to physician feedback was used in order to improve adherence to SAP guidelines. Sutherland et al.  found that by involving both surgeons and anaesthetists in feedback committees, repeat errors regarding selection and administration of antibiotics could be reduced, thus resulting in an increased adherence to SAP guidelines. It is crucial, however, to ensure that surveillance occurs at regular intervals in order to enhance behaviour change. This provides an opportunity to uncover reasons behind poor guideline adherence whilst allowing for the development of behavioural change strategies. Providing feedback to staff in relation to their practice allows for reflection to take place, thereby resulting in corrective action or motivation to continue performing at the same or a higher level . On a larger scale, presenting results or benchmarking between hospital units or regional districts can lead to competition which can enhance uptake of guidelines at a local setting [41, 85].
Although audit and feedback is seen as a successful means of changing practice, it is important to note this is dependent on factors such as baseline performance of staff and the methods in which feedback is provided . A Cochrane systematic review published in 2012  highlights that, if designed well and used in the right context, audit and feedback can help improve practice. Although the outcomes of this review suggests that the effect of audit and feedback is small to moderate, the effect of feedback can be higher if baseline performance is low, feedback is provided by a supervisor on a regular basis, if feedback is issued in both verbal and written form and an action plan is provided to staff .
Papers that reported successful interventions often used a bundle of interventions to change practice. Although the literature contains abundant examples on the benefits of multifaceted interventions in enhancing guideline use [28, 88, 97, 98], Grimshaw and Eccles  argue that this may not always be the case. This finding is drawn from a comprehensive systematic review conducted by Grimshaw et al.  in which robust statistical techniques were used to make comparisons between intervention types. Grimshaw et al.  highlight that previous reviews comparing interventions often used vote-counting to determine effect, whilst providing minimal information regarding effect sizes of interventions. Vote-counting has been used to determine the effectiveness of interventions by comparing the number of positive outcomes to the number of negative outcomes; however, issues may arise by using this technique as it does not provide information on the magnitude of effects [100, 101].
A previous review was conducted by Ng and Chong in 2012  to identify factors that influence a surgeon’s adherence to SAP guidelines. Of note, a lack of awareness and ineffective dissemination of guidelines (such as updating guidelines in a hospital’s handbook without removing old guidelines from theatre) was considered a pivotal reason behind poor guideline use [102, 103]. The review also noted that the use of education and audit and feedback often enhanced guideline adherence . While Ng and Chong’s review  specifically highlighted the factors that affect a surgeon’s adherence to guidelines, it did not consider the role of other health professionals in the optimal use of SAP guidelines. In addition, a review by Gouvea et al. in 2015  analysed the adherence rates to SAP guidelines, however, did not undertake an exploration of the factors that resulted in poor adherence.
The strengths of this review include the systematic search of multiple databases through a rigorous search strategy and the evaluation of quality of included studies. The vast majority of papers included were deemed to be of high quality. Through this review, we were able to shed light on the TDF domains that have arisen through the various studies mentioned here, highlighting the factors that affect guideline adherence rates. We focused on identifying the reported barriers and enablers to SAP guideline adherence rather than factors that were perceived or speculated by authors throughout the discussion of their studies. Given the multidisciplinary involvement in SAP management, we did not exclude any health professionals from our review. Through this, we were able to highlight how the practice of surgeons, anaesthetists, nurses and pharmacists contributes to the uptake of guidelines.
Of the limitations of this review, we excluded articles that were in a language other than English which may have limited our results to some extent. We also did not examine the grey literature such as theses or conference abstracts which may discuss the outcomes of quality improvement projects on the effect of SAP guideline adherence. However, we were still able to retrieve a large number of relevant studies from our search. Furthermore, we did not consider studies where guidelines were introduced as part of the intervention. Thus, we were unable to ascertain whether SAP guideline adherence was greater when newly developed guidelines were coupled with other interventions.
Multiple factors contribute to the suboptimal adherence to SAP guidelines. It is clear that there is a need to identify the factors that may prevent the uptake of guidelines in a local setting, whilst also determining interventions that not only enhance the adherence rates but sustain it for an extended period of time in order to modify practice. Successful studies often employ the use of multiple interventions simultaneously, highlighting the importance of combining different means to change practice. The importance of avoiding passive methods to disseminate information is also clear as the engagement of key stakeholders is crucial to developing change. By understanding the local environment and the nuances that pertain to it, theoretically derived interventions can be developed and implemented, thus increasing the likelihood of adhering to SAP guidelines.
Availability of data and materials
All data generated or analysed during this study are included in this published article [and its supplementary information files].
Anaesthesia Information Management System
Centers for Disease Control and Prevention
Computerised physician order entry
Electronic medical record
Mixed method appraisal tool
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
Point of care electronic prompt
Smart Anaesthesia Manager
Surgical antimicrobial prophylaxis
Surgical site infections
World Health Organization
Uckay I, Harbarth S, Peter R, Lew D, Hoffmeyer P, Pittet D. Preventing surgical site infections. Expert Rev Anti Infect Ther. 2010;8(6):657–70. https://0-doi-org.brum.beds.ac.uk/10.1586/eri.10.41 Epub 2010/06/05. PubMed PMID: 20521894.
Centers for Disease Control and Prevention. In: CDC, editor. Surgical Site Infection (SSI) event. Atlanta; 2020. [updated January 2020; cited 2020 April 6]. Available from: https://www.cdc.gov/nhsn/pdfs/pscmanual/9pscssicurrent.pdf.
Mangram AJ, Horan TC, Pearson ML, Silver LC, Jarvis WR. Guideline for prevention of surgical site infection, 1999. Am J Infect Control. 1999;27(2):97–134. https://doi.org/10.1016/S0196-6553(99)70088-X.
Zimlichman E, Henderson D, Tamir O, Franz C, Song P, Yamin CK, et al. Health care–associated infections: a meta-analysis of costs and financial impact on the US health care system. JAMA Intern Med. 2013;173(22):2039–46. https://0-doi-org.brum.beds.ac.uk/10.1001/jamainternmed.2013.9763.
Broex ECJ, van Asselt ADI, Bruggeman CA, van Tiel FH. Surgical site infections: how high are the costs? J Hosp Infect. 2009;72(3):193–201. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jhin.2009.03.020.
Badia JM, Casey AL, Petrosillo N, Hudson PM, Mitchell SA, Crosby C. Impact of surgical site infection on healthcare costs and patient outcomes: a systematic review in six European countries. J Hosp Infect. 2017;96(1):1–15. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jhin.2017.03.004.
Ierano C, Manski-Nankervis J, James R, Rajkhowa A, Peel T, Thursky K. Surgical antimicrobial prophylaxis. Aust Prescr. 2017;40:225–9. https://0-doi-org.brum.beds.ac.uk/10.18773/austprescr.2017.073.
Allegranzi B, Bischoff P, de Jonge S, Kubilay NZ, Zayed B, Gomes SM, et al. New WHO recommendations on preoperative measures for surgical site infection prevention: an evidence-based global perspective. Lancet Infect Dis. 2016;16(12):e276–e87. https://0-doi-org.brum.beds.ac.uk/10.1016/S1473-3099(16)30398-X.
Allegranzi B, Zayed B, Bischoff P, Kubilay NZ, de Jonge S, de Vries F, et al. New WHO recommendations on intraoperative and postoperative measures for surgical site infection prevention: an evidence-based global perspective. Lancet Infect Dis. 2016;16(12):e288–303. https://0-doi-org.brum.beds.ac.uk/10.1016/S1473-3099(16)30402-9.
Gillespie WJ, Walenkamp G. Antibiotic prophylaxis for surgery for proximal femoral and other closed long bone fractures. Cochrane Database Syst Rev. 2001;(1):Cd000244. https://0-doi-org.brum.beds.ac.uk/10.1002/14651858.Cd000244 Epub 2001/05/02. PubMed PMID: 11279687.
Bryson DJ, Morris DL, Shivji FS, Rollins KR, Snape S, Ollivere BJ. Antibiotic prophylaxis in orthopaedic surgery: difficult decisions in an era of evolving antibiotic resistance. Bone Joint J. 2016;98-b(8):1014–9. https://0-doi-org.brum.beds.ac.uk/10.1302/0301-620x.98b8.37359 Epub 2016/08/03. PubMed PMID: 27482011.
Berrios-Torres SI, Umscheid CA, Bratzler DW, Leas B, Stone EC, Kelz RR, et al. Centers for disease control and prevention guideline for the prevention of surgical site infection, 2017. JAMA Surg. 2017;152(8):784–91. https://0-doi-org.brum.beds.ac.uk/10.1001/jamasurg.2017.0904 Epub 2017/05/04. PubMed PMID: 28467526.
Australian Commission on Safety and Quality in Health Care. Antimicrobial stewardship clinical care standard. Sydney: ACSQHC; 2014.
Bratzler DW, Dellinger EP, Olsen KM, Perl TM, Auwaerter PG, Bolon MK, et al. Clinical practice guidelines for antimicrobial prophylaxis in surgery. Am J Health Syst Pharm. 2013;70(3):195–283. https://0-doi-org.brum.beds.ac.uk/10.2146/ajhp120568 Epub 2013/01/19. PubMed PMID: 23327981.
Institute of Medicine (US) Committee to Advise the Public Health Service on Clinical Practice Guidelines. Definitions of key terms. In: Clinical practice guidelines: directions for a new program. Washington (DC): National Academies Press (US); 1990. Available from: https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/books/NBK235758/.
Musmar SM, Ba'ba H, Owais A. Adherence to guidelines of antibiotic prophylactic use in surgery: a prospective cohort study in North West Bank, Palestine. BMC Surg. 2014;14:69. https://0-doi-org.brum.beds.ac.uk/10.1186/1471-2482-14-69 Epub 2014/09/11. PubMed PMID: 25204205; PubMed Central PMCID: PMCPMC4168988.
Abdel-Aziz A, El-Menyar A, Al-Thani H, Zarour A, Parchani A, Asim M, et al. Adherence of surgeons to antimicrobial prophylaxis guidelines in a tertiary general hospital in a rapidly developing country. Adv Pharmacol Sci. 2013;2013. https://0-doi-org.brum.beds.ac.uk/10.1155/2013/842593.
Alemkere G. Antibiotic usage in surgical prophylaxis: a prospective observational study in the surgical ward of Nekemte referral hospital. PLoS One. 2018;13(9):e0203523. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0203523 Epub 2018/09/14. PubMed PMID: 30212477; PubMed Central PMCID: PMCPMC6136737.
Bull AL, Russo PL, Friedman ND, Bennett NJ, Boardman CJ, Richards MJ. Compliance with surgical antibiotic prophylaxis - reporting from a statewide surveillance programme in Victoria, Australia. J Hosp Infect. 2006;63(2):140–7. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jhin.2006.01.018.
Al-Momany NH, Al-Bakri AG, Makahleh ZM, Wazaify MM. Adherence to international antimicrobial prophylaxis guidelines in cardiac surgery: a Jordanian study demonstrates need for quality improvement. J Manag Care Pharm. 2009;15(3):262–71. https://0-doi-org.brum.beds.ac.uk/10.18553/jmcp.2009.15.3.262 Epub 2009/03/31. PubMed PMID: 19326957.
Friedman ND, Styles K, Gray AM, Low J, Athan E. Compliance with surgical antibiotic prophylaxis at an Australian teaching hospital. Am J Infect Control. 2013;41(1):71–4. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ajic.2012.02.012.
Grimshaw JM, Eccles MP, Lavis JN, Hill SJ, Squires JE. Knowledge translation of research findings. Implement Sci. 2012;7:50. https://0-doi-org.brum.beds.ac.uk/10.1186/1748-5908-7-50 Epub 2012/06/02. PubMed PMID: 22651257; PubMed Central PMCID: PMCPMC3462671.
Morris ZS, Wooding S, Grant J. The answer is 17 years, what is the question: understanding time lags in translational research. J R Soc Med. 2011;104(12):510–20. https://0-doi-org.brum.beds.ac.uk/10.1258/jrsm.2011.110180 PubMed PMID: 22179294.
Grant J, Green L, Mason B. Basic research and health: a reassessment of the scientific basis for the support of biomedical science. Res Eval. 2003;12(3):217–24. https://0-doi-org.brum.beds.ac.uk/10.3152/147154403781776618.
Gurses AP, Marsteller JA, Ozok AA, Xiao Y, Owens S, Pronovost PJ. Using an interdisciplinary approach to identify factors that affect clinicians’ compliance with evidence-based guidelines. Crit Care Med. 2010;38(8 Suppl):S282–91. https://doi.org/10.1097/CCM.0b013e3181e69e02 Epub 2010/08/05. PubMed PMID: 20647785.
Sheldon TA, Cullum N, Dawson D, Lankshear A, Lowson K, Watt I, et al. What’s the evidence that NICE guidance has been implemented? Results from a national evaluation using time series analysis, audit of patients’ notes, and interviews. BMJ. 2004;329(7473):999. https://0-doi-org.brum.beds.ac.uk/10.1136/bmj.329.7473.999 PubMed PMID: 15514342.
Grol R. Successes and failures in the implementation of evidence-based guidelines for clinical practice. Med Care. 2001;39(8 Suppl 2):Ii46–54. https://0-doi-org.brum.beds.ac.uk/10.1097/00005650-200108002-00003 Epub 2001/10/05. PubMed PMID: 11583121.
Fischer F, Lange K, Klose K, Greiner W, Kraemer A. Barriers and strategies in guideline implementation-a scoping review. Healthcare (Basel). 2016;4(3):36. https://doi.org/10.3390/healthcare4030036 PubMed PMID: 27417624.
Liang L, Bernhardsson S, Vernooij RWM, Armstrong MJ, Bussières A, Brouwers MC, et al. Use of theory to plan or evaluate guideline implementation among physicians: a scoping review. Implement Sci. 2017;12(1):26. https://0-doi-org.brum.beds.ac.uk/10.1186/s13012-017-0557-0 PubMed PMID: 28241771.
Cane J, O’Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci. 2012;7(1):37. https://0-doi-org.brum.beds.ac.uk/10.1186/1748-5908-7-37.
Atkins L, Francis J, Islam R, O’Connor D, Patey A, Ivers N, et al. A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems. Implement Sci. 2017;12(1):77. https://0-doi-org.brum.beds.ac.uk/10.1186/s13012-017-0605-9.
Moher D, Liberati A, Tetzlaff J, Altman DG, The PG. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pmed.1000097.
Plüddemann A, Aronson JK, Onakpoya I, Heneghan C, Mahtani KR. Redefining rapid reviews: a flexible framework for restricted systematic reviews. BMJ Evid Based Med. 2018;23(6):201. https://0-doi-org.brum.beds.ac.uk/10.1136/bmjebm-2018-110990.
Hong QN, Fàbregues S, Bartlett G, Boardman F, Cargo M, Dagenais P, et al. The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Educ Inf. 2018;34:285–91. https://0-doi-org.brum.beds.ac.uk/10.3233/EFI-180221.
Al-Azzam SI, Alzoubi KH, Mhaidat NM, Haddadin RD, Masadeh MM, Tumah HN, et al. Preoperative antibiotic prophylaxis practice and guideline adherence in Jordan: a multi-centre study in Jordanian hospitals. J Infect Dev Ctries. 2012;6(10):715–20. https://0-doi-org.brum.beds.ac.uk/10.3855/jidc.1676.
Bonfait H, Delaunay C, de Thomasson E, Charrois O. Near-miss event assessment in orthopedic surgery: antimicrobial prophylaxis noncompliance. Orthop Traumatol Surg Res. 2010;96(5):493–9. https://0-doi-org.brum.beds.ac.uk/10.1016/j.otsr.2010.03.014 Epub 2010/10/23. PubMed PMID: 20965143.
Broom J, Broom A, Kirby E, Post JJ. Improvisation versus guideline concordance in surgical antibiotic prophylaxis: a qualitative study. Infection. 2018;46(4):541–8. https://doi.org/10.1007/s15010-018-1156-y.
Chen SY, Ceresnak SR, Motonaga KS, Trela A, Hanisch D, Dubin AM. Antibiotic prophylaxis practices in pediatric cardiac implantable electronic device procedures: a survey of the Pediatric And Congenital Electrophysiology Society (PACES). Pediatr Cardiol. 2018;39(6):1129–33. https://0-doi-org.brum.beds.ac.uk/10.1007/s00246-018-1865-0 Epub 2018/03/23. PubMed PMID: 29564522.
Madubueze CC, Umaru H, Alada A. Attitudes of Nigerian orthopaedic surgeons to the use of prophylactic antibiotics. Int Orthop. 2015;39(11):2161–5. https://0-doi-org.brum.beds.ac.uk/10.1007/s00264-015-2822-7.
Tan JA, Naik VN, Lingard L. Exploring obstacles to proper timing of prophylactic antibiotics for surgical site infections. Qual Saf Health Care. 2006;15(1):32–8. https://0-doi-org.brum.beds.ac.uk/10.1136/qshc.2004.012534.
Brink AJ, Messina AP, Feldman C, Richards GA, van den Bergh D. From guidelines to practice: a pharmacist-driven prospective audit and feedback improvement model for peri-operative antibiotic prophylaxis in 34 South African hospitals. J Antimicrob Chemother. 2017;72(4):1227–34. https://0-doi-org.brum.beds.ac.uk/10.1093/jac/dkw523 Epub 2016/12/22. PubMed PMID: 27999061.
Bryson DJ, Gulihar A, Aujla RS, Taylor GJS. The hip fracture best practice tariff: early surgery and the implications for MRSA screening and antibiotic prophylaxis. Eur J Orthop Surg Traumatol. 2015;25(1):123–7. https://0-doi-org.brum.beds.ac.uk/10.1007/s00590-014-1448-6.
Cameron M, Jones S, Adedeji O. Antibiotic prophylaxis audit and questionnaire study: Traffic Light Poster improves adherence to protocol in gastrointestinal surgery. Int J Surg. 2015;19:112–5. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ijsu.2015.05.008.
Carlès M, Gindre S, Aknouch N, Goubaux B, Mousnier A, Raucoules-Aimé M. Improvement of surgical antibiotic prophylaxis: a prospective evaluation of personalized antibiotic kits. J Hosp Infect. 2006;62(3):372–5. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jhin.2005.09.004.
Caruso TJ, Wang E, Schwenk HT, Scheinker D, Yeverino C, Tweedy M, et al. A quality improvement initiative to optimize dosing of surgical antimicrobial prophylaxis. Paediatr Anaesth. 2017;27(7):702–10. https://0-doi-org.brum.beds.ac.uk/10.1111/pan.13137.
Collier PE, Rudolph M, Ruckert D, Osella T, Collier NA, Ferrero M. Are preoperative antibiotics administered preoperatively? Am J Med Qual. 1998;13(2):94–7. https://0-doi-org.brum.beds.ac.uk/10.1177/106286069801300208.
Conaty O, Gaughan L, Downey C, Carolan N, Brophy MJ, Kavanagh R, et al. An interdisciplinary approach to improve surgical antimicrobial prophylaxis. Int J Health Care Qual Assur. 2018;31(2):162–72. https://0-doi-org.brum.beds.ac.uk/10.1108/ijhcqa-05-2017-0078 Epub 2018/03/06. PubMed PMID: 29504869.
De Almeida SM, Marra AR, Wey SB, Victor EDS, Dos Santos OFP, Edmond MB. Implementation of an antibiotic prophylaxis protocol in an intensive care unit. Am J Infect Control. 2012;40(8):721–5. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ajic.2011.09.018.
Dimopoulou A, Kourlaba G, Psarris A, Coffin S, Spoulou V, Zaoutis T. Perioperative antimicrobial prophylaxis in pediatric patients in Greece: compliance with guidelines and impact of an educational intervention. J Pediatr Surg. 2016;51(8):1307–11. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jpedsurg.2015.11.017.
Garcell HG, Arias AV, Sandoval CP, Valle Gamboa ME, Sado AB, Alfonso Serrano RN. Impact of a focused antimicrobial stewardship program in adherence to antibiotic prophylaxis and antimicrobial consumption in appendectomies. J Infect Public Health. 2017;10(4):415–20. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jiph.2016.06.006.
Haynes K, Linkin DR, Fishman NO, Bilker WB, Strom BL, Pifer EA, et al. Effectiveness of an information technology intervention to improve prophylactic antibacterial use in the postoperative period. J Am Med Inform Assoc. 2011;18(2):164–8. https://0-doi-org.brum.beds.ac.uk/10.1136/jamia.2009.002998.
Hermsen ED, Shull SS, Puumala SE, Rupp ME. Improvement in prescribing habits and economic outcomes associated with the introduction of a standardized approach for surgical antimicrobial prophylaxis. Infect Control Hosp Epidemiol. 2008;29(5):457–61. https://0-doi-org.brum.beds.ac.uk/10.1086/587811.
Hincker A, Ben Abdallah A, Avidan M, Candelario P, Helsten D. Electronic medical record interventions and recurrent perioperative antibiotic administration: a before-and-after study. Can J Anaesth. 2017;64(7):716–23. https://0-doi-org.brum.beds.ac.uk/10.1007/s12630-017-0885-1 Epub 2017/04/20. PubMed PMID: 28421546.
Kao LS, Lew DF, Doyle PD, Carrick MM, Jordan VS, Thomas EJ, et al. A tale of 2 hospitals: a staggered cohort study of targeted interventions to improve compliance with antibiotic prophylaxis guidelines. Surgery. 2010;148(2):255–62. https://0-doi-org.brum.beds.ac.uk/10.1016/j.surg.2010.04.003 Epub 2010/05/25. PubMed PMID: 20494387.
Kim ES, Park SW, Lee CS, Gyung Kwak Y, Moon C, Kim BN. Impact of a national hospital evaluation program using clinical performance indicators on the use of surgical antibiotic prophylaxis in Korea. Int J Infect Dis. 2012;16(3):e187–e92. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ijid.2011.11.010.
Kritchevsky SB, Braun BI, Bush AJ, Bozikis MR, Kusek L, Burke JP, et al. The effect of a quality improvement collaborative to improve antimicrobial prophylaxis in surgical patients: a randomized trial. Ann Intern Med. 2008;149(7):472–80. https://0-doi-org.brum.beds.ac.uk/10.7326/0003-4819-149-7-200810070-00007 w89-93. Epub 2008/10/08. PubMed PMID: 18838727.
Lingard L, Regehr G, Cartmill C, Orser B, Espin S, Bohnen J, et al. Evaluation of a preoperative team briefing: a new communication routine results in improved clinical practice. BMJ Qual Saf. 2011;20(6):475–82. https://0-doi-org.brum.beds.ac.uk/10.1136/bmjqs.2009.032326 Epub 2011/02/10. PubMed PMID: 21303767.
Nair BG, Newman SF, Peterson GN, Wu WY, Schwid HA. Feedback mechanisms including real-time electronic alerts to achieve near 100% timely prophylactic antibiotic administration in surgical cases. Anesth Analg. 2010;111(5):1293–300. https://0-doi-org.brum.beds.ac.uk/10.1213/ANE.0b013e3181f46d89 Epub 2010/09/16. PubMed PMID: 20841414.
Nair BG, Newman SF, Peterson GN, Schwid HA. Automated electronic reminders to improve redosing of antibiotics during surgical cases: comparison of two approaches. Surg Infect (Larchmt). 2011;12(1):57–63. https://0-doi-org.brum.beds.ac.uk/10.1089/sur.2010.047.
O'Reilly M, Talsma A, VanRiper S, Kheterpal S, Burney R. An anesthesia information system designed to provide physician-specific feedback improves timely administration of prophylactic antibiotics. Anesth Analg. 2006;103(4):908–12. https://0-doi-org.brum.beds.ac.uk/10.1213/01.ane.0000237272.77090.a2 Epub 2006/09/27. PubMed PMID: 17000802.
Ozgun H, Ertugrul BM, Soyder A, Ozturk B, Aydemir M. Peri-operative antibiotic prophylaxis: adherence to guidelines and effects of educational intervention. Int J Surg. 2010;8(2):159–63. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ijsu.2009.12.005 Epub 2009/12/23. PubMed PMID: 20026001.
Parker BM, Henderson JM, Vitagliano S, Nair BG, Petre J, Maurer WG, et al. Six sigma methodology can be used to improve adherence for antibiotic prophylaxis in patients undergoing noncardiac surgery. Anesth Analg. 2007;104(1):140–6. Epub 2006/12/21. PubMed PMID: 17179259. https://0-doi-org.brum.beds.ac.uk/10.1213/01.ane.0000250371.76725.2e.
Ribed A, Monje B, García-González X, Sanchez-Somolinos M, Sanz-Ruiz P, Rodríguez-González CG, et al. Improving surgical antibiotic prophylaxis adherence and reducing hospital readmissions: a bundle of interventions including health information technologies. Eur J Hosp Pharm. 2018. https://0-doi-org.brum.beds.ac.uk/10.1136/ejhpharm-2018-001666.
Riggi G, Castillo M, Fernandez M, Wawrzyniak A, Vigoda M, Eber S, et al. Improving compliance with timely intraoperative redosing of antimicrobials in surgical prophylaxis. Infect Control Hosp Epidemiol. 2014;35(10):1236–40. https://0-doi-org.brum.beds.ac.uk/10.1086/678058.
Ritchie S, Scanlon N, Lewis M, Black PN. Use of a preprinted sticker to improve the prescribing of prophylactic antibiotics for hip fracture surgery. Qual Saf Health Care. 2004;13(5):384–7. https://0-doi-org.brum.beds.ac.uk/10.1136/qshc.2003.009696.
Rosenberg AD, Wambold D, Kraemer L, Begley-Keyes M, Zuckerman SL, Singh N, et al. Ensuring appropriate timing of antimicrobial prophylaxis. J Bone Joint Surg. 2008;90(2):226–32. https://0-doi-org.brum.beds.ac.uk/10.2106/JBJS.G.00297.
Schwann NM, Bretz KA, Eid S, Burger T, Fry D, Ackler F, et al. Point-of-care electronic prompts: an effective means of increasing compliance, demonstrating quality, and improving outcome. Anesth Analg. 2011;113(4):869–76. https://0-doi-org.brum.beds.ac.uk/10.1213/ANE.0b013e318227b511 Epub 2011/07/27. PubMed PMID: 21788319.
Shapiro R, Laignel R, Kowcheck C, White V, Hashmi M. Modifying pre-operative antibiotic overuse in gynecologic surgery. Int J Health Care Qual Assur. 2018;31(5):400–5. https://0-doi-org.brum.beds.ac.uk/10.1108/IJHCQA-04-2017-0066.
Sutherland T, Beloff J, Lightowler M, Liu X, Nascimben L, Kaye AD, et al. Description of a multidisciplinary initiative to improve SCIP measures related to pre-operative antibiotic prophylaxis compliance: a single-center success story. Patient Saf Surg. 2014;8(1). https://0-doi-org.brum.beds.ac.uk/10.1186/s13037-014-0037-2.
Telfah S, Nazer L, Dirani M, Daoud F. Improvement in adherence to surgical antimicrobial prophylaxis guidelines after implementation of a multidisciplinary quality improvement project. Sultan Qaboos Univ Med J. 2015;15(4):e523–e7. https://0-doi-org.brum.beds.ac.uk/10.18295/squmj.2015.15.04.014 Epub 2015/11/23. PubMed PMID: 26629381.
Wax DB, Beilin Y, Levin M, Chadha N, Krol M, Reich DL. The effect of an interactive visual reminder in an anesthesia information management system on timeliness of prophylactic antibiotic administration. Anesth Analg. 2007;104(6):1462–6. https://0-doi-org.brum.beds.ac.uk/10.1213/01.ane.0000263043.56372.5f table of contents. Epub 2007/05/22. PubMed PMID: 17513642.
Whitman G, Cowell V, Parris K, McCullough P, Howard T, Gaughan J, et al. Prophylactic antibiotic use: hardwiring of physician behavior, not education, leads to compliance. J Am Coll Surg. 2008;207(1):88–94. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jamcollsurg.2008.01.023.
Willems L, Simoens S, Laekeman G. Follow-up of antibiotic prophylaxis: impact on compliance with quideliness and financial outcomes. J Hosp Infect. 2005;60(4):333–9. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jhin.2004.12.026.
Zanetti G, Flanagan HL Jr, Cohn LH, Giardina R, Platt R. Improvement of intraoperative antibiotic prophylaxis in prolonged cardiac surgery by automated alerts in the operating room. Infect Control Hosp Epidemiol. 2003;24(1):13–6. https://0-doi-org.brum.beds.ac.uk/10.1086/502109.
Zanotto AR, Heineck I, Ferreira MB. Antibiotic prophylaxis in cholecystectomies in a teaching hospital in Brazil. Ann Pharmacother. 2006;40(11):2003–7. https://0-doi-org.brum.beds.ac.uk/10.1345/aph.1H165.
Zhou L, Ma J, Gao J, Chen S, Bao J. Optimizing prophylactic antibiotic practice for cardiothoracic surgery by pharmacists’ effects. Medicine (Baltimore). 2016;95(9). https://0-doi-org.brum.beds.ac.uk/10.1097/MD.0000000000002753.
Broom JK, Broom AF, Kirby ER, Post JJ. How do professional relationships influence surgical antibiotic prophylaxis decision making? A qualitative study. Am J Infect Control. 2018;46(3):311–5. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ajic.2017.09.004.
Giusti A, Spila Alegiani S, Ciofi Degli Atti ML, Colaceci S, Raschetti R, Arace P, et al. Surgical antibiotic prophylaxis in children: a mixed method study on healthcare professionals attitudes. BMC Pediatr. 2016;16(1):203. https://0-doi-org.brum.beds.ac.uk/10.1186/s12887-016-0739-y Epub 2016/12/07. PubMed PMID: 27919244; PubMed Central PMCID: PMCPMC5139116.
Nobile M, Bronzin S, Navone P, Colombo M, Calori GM, Auxilia F. Reinforcing good practice: implementation of guidelines at hospital G. Pini. Injury. 2014;45(S6):S2–8. https://0-doi-org.brum.beds.ac.uk/10.1016/j.injury.2014.10.015.
Knox MC, Edye M. Educational antimicrobial stewardship intervention ineffective in changing surgical prophylactic antibiotic prescribing. Surg Infect (Larchmt). 2016;17(2):224–8. https://0-doi-org.brum.beds.ac.uk/10.1089/sur.2015.194.
Nemeth TA, Beilman GJ, Hamlin CL, Chipman JG. Preoperative verification of timely antimicrobial prophylaxis does not improve compliance with guidelines. Surg Infect (Larchmt). 2010;11(4):387–91. https://0-doi-org.brum.beds.ac.uk/10.1089/sur.2008.054.
Putnam LR, Chang CM, Rogers NB, Podolnick JM, Sakhuja S, Matusczcak M, et al. Adherence to surgical antibiotic prophylaxis remains a challenge despite multifaceted interventions. Surgery. 2015;158(2):413–9. https://0-doi-org.brum.beds.ac.uk/10.1016/j.surg.2015.04.013 Epub 2015/06/10. PubMed PMID: 26054317.
Chauveaux D. Preventing surgical-site infections: measures other than antibiotics. Orthop Traumatol Surg Res. 2015;101(1, Supplement):S77–83. https://0-doi-org.brum.beds.ac.uk/10.1016/j.otsr.2014.07.028.
Culleton B. Evidence-based decision-making 4: development and limitations of clinical practice guidelines. Methods Mol Biol. 2015;1281:443–53. https://0-doi-org.brum.beds.ac.uk/10.1007/978-1-4939-2428-8_26 Epub 2015/02/20. PubMed PMID: 25694326.
Ierano C, Thursky K, Peel T, Rajkhowa A, Marshall C, Ayton D. Influences on surgical antimicrobial prophylaxis decision making by surgical craft groups, anaesthetists, pharmacists and nurses in public and private hospitals. PLoS One. 2019;14(11):e0225011. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0225011 Epub 2019/11/15. PubMed PMID: 31725771; PubMed Central PMCID: PMCPMC6855473.
Davis DA, McMahon GT. Translating evidence into practice: lessons for CPD. Med Teach. 2018;40(9):892–5. https://0-doi-org.brum.beds.ac.uk/10.1080/0142159X.2018.1481285.
Tudor Car L, Soong A, Kyaw BM, Chua KL, Low-Beer N, Majeed A. Health professions digital education on clinical practice guidelines: a systematic review by Digital Health Education collaboration. BMC Med. 2019;17(1):139. https://0-doi-org.brum.beds.ac.uk/10.1186/s12916-019-1370-1.
Bero LA, Grilli R, Grimshaw JM, Harvey E, Oxman AD, Thomson MA. Closing the gap between research and practice: an overview of systematic reviews of interventions to promote the implementation of research findings. The Cochrane Effective Practice and Organization of Care Review Group. BMJ. 1998;317(7156):465–8. https://0-doi-org.brum.beds.ac.uk/10.1136/bmj.317.7156.465 PubMed PMID: 9703533.
van Buijtene A, Foster D. Does a hospital culture influence adherence to infection prevention and control and rates of healthcare associated infection? A literature review. J Infect Prev. 2019;20(1):5–17. https://0-doi-org.brum.beds.ac.uk/10.1177/1757177418805833 Epub 2018/11/09. PubMed PMID: 30719083.
Braithwaite J, Herkes J, Ludlow K, Lamprell G, Testa L. Association between organisational and workplace cultures, and patient outcomes: systematic review protocol. BMJ Open. 2016;6(12):e013758. https://0-doi-org.brum.beds.ac.uk/10.1136/bmjopen-2016-013758 Epub 2016/12/03. PubMed PMID: 27909040; PubMed Central PMCID: PMCPMC5168669.
Tsiga E, Panagopoulou E, Sevdalis N, Montgomery A, Benos A. The influence of time pressure on adherence to guidelines in primary care: an experimental study. BMJ Open. 2013;3(4):e002700. https://0-doi-org.brum.beds.ac.uk/10.1136/bmjopen-2013-002700.
Vehko T, Hyppönen H, Puttonen S, Kujala S, Ketola E, Tuukkanen J, et al. Experienced time pressure and stress: electronic health records usability and information technology competence play a role. BMC Med Inform Decis Mak. 2019;19(1):160. https://0-doi-org.brum.beds.ac.uk/10.1186/s12911-019-0891-z.
O’Daniel M, Rosenstein AH. Professional communication and team collaboration. In: Hughes RG, editor. Patient safety and quality: an evidence-based handbook for nurses. Rockville: Agency for Healthcare Research and Quality (US); 2008.
Wilkinson DJ. Anaesthesia. BMJ. 1999;318(7187):S2–7187. https://0-doi-org.brum.beds.ac.uk/10.1136/bmj.318.7187.2.
Kirkland KB, Briggs JP, Trivette SL, Wilkinson WE, Sexton DJ. The impact of surgical-site infections in the 1990s: attributable mortality, excess length of hospitalization, and extra costs. Infect Control Hosp Epidemiol. 1999;20(11):725–30. https://0-doi-org.brum.beds.ac.uk/10.1086/501572 Epub 1999/12/02. PubMed PMID: 10580621.
Ivers N, Jamtvedt G, Flottorp S, Young JM, Odgaard-Jensen J, French SD, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2012;6. https://0-doi-org.brum.beds.ac.uk/10.1002/14651858.CD000259.pub3 PubMed PMID: CD000259.
Forsner T, Hansson J, Brommels M, Wistedt AA, Forsell Y. Implementing clinical guidelines in psychiatry: a qualitative study of perceived facilitators and barriers. BMC Psychiatry. 2010;10:8. https://0-doi-org.brum.beds.ac.uk/10.1186/1471-244X-10-8 PubMed PMID: 20089141.
Cabana MD, Rushton JL, Rush AJ. Implementing practice guidelines for depression: applying a new framework to an old problem. Gen Hosp Psychiatry. 2002;24(1):35–42. https://0-doi-org.brum.beds.ac.uk/10.1016/s0163-8343(01)00169-4 Epub 2002/01/30. PubMed PMID: 11814532.
Grimshaw JM, Eccles MP. Is evidence-based implementation of evidence-based care possible? Med J Aust. 2004;180(S6):S50–1 Epub 2004/03/12. PubMed PMID: 15012580.
Grimshaw J, Thomas R, Maclennan G, Fraser C, Ramsay C, Vale L, et al. Effectiveness and efficiency of guideline dissemination and implementation strategies. Health Technol Assess. 2004;8(6). https://0-doi-org.brum.beds.ac.uk/10.3310/hta8060.
McKenzie JE, Brennan SE. Chapter 12: Synthesizing and presenting findings using other methods. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.1 (updated September 2020). Cochrane. 2020. Available from http://www.training.cochrane.org/handbook.
Ng RS, Chong CP. Surgeons’ adherence to guidelines for surgical antimicrobial prophylaxis - a review. Australas Med J. 2012;5(10):534–40. https://0-doi-org.brum.beds.ac.uk/10.4066/amj.2012.1312 Epub 2012/11/23. PubMed PMID: 23173017; PubMed Central PMCID: PMCPMC3494825.
van Kasteren ME, Kullberg BJ, de Boer AS, Mintjes-de Groot J, Gyssens IC. Adherence to local hospital guidelines for surgical antimicrobial prophylaxis: a multicentre audit in Dutch hospitals. J Antimicrob Chemother. 2003;51(6):1389–96. https://0-doi-org.brum.beds.ac.uk/10.1093/jac/dkg264 Epub 2003/05/15. PubMed PMID: 12746377.
Gouvêa M, Novaes CO, Pereira DMT, Iglesias AC. Adherence to guidelines for surgical antibiotic prophylaxis: a review. Braz J Infect Dis. 2015;19(5):517–24. https://0-doi-org.brum.beds.ac.uk/10.1016/j.bjid.2015.06.004.
The authors would like to acknowledge Karen Macvean for her assistance in developing the search strategy.
The authors have no funding sources to declare.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Hassan, S., Chan, V., Stevens, J. et al. Factors that influence adherence to surgical antimicrobial prophylaxis (SAP) guidelines: a systematic review. Syst Rev 10, 29 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s13643-021-01577-w
- Surgical antimicrobial prophylaxis
- Guideline adherence
- Personal barriers
- Organisational barriers
- Multifaceted interventions