Barriers and facilitators of following perioperative internal medicine recommendations by surgical teams: a sequential, explanatory mixed-methods study
Perioperative Medicine volume 11, Article number: 2 (2022)
Preoperative medical consultations add expense and burden for patients and the impact of these consults on patient outcomes is conflicting. Previous work suggests that 10–40% of preoperative medical consult recommendations are not followed. This limits measurement of the effect of perioperative medical consultation on patient outcomes and represents a quality gap, given the patient time and healthcare cost associated with consultation. We aimed to measure, characterize, and understand reasons for missed recommendations from preoperative medical consultation.
This explanatory, sequential mixed-methods study used chart audits followed by semi-structured interviews. Chart audit of consecutive patients seen in preoperative medical clinic were reviewed to measure the proportion and characterize the type of recommendations that were not completed (“missed”). This phase informed the interview participants and questions. The interview guide was developed using the Consolidated Framework for Implementation Research and the Theoretical Domains Framework. Template analysis was used to understand drivers and barriers of missed recommendations
Chart audit included 255 patients (n=161, 63.1% female) seen in preadmission clinic between April 1 and April 30, 2019. 55.7% of patients had all recommendations followed (n=142). Postoperative anticoagulation management and postoperative cardiac biomarker surveillance recommendations were least commonly followed (50.0%, n=28, and 68.9%, n=82, respectively).
Eighteen surgical team members were interviewed. Missed recommendations were both unintentional and intentional, and the key drivers differed by these categories. Unintentionally missed recommendations occurred due to individual-level factors (drivers: knowledge of the consultation note, lack of routine for reviewing the consultation note, and competing demands on time) and systems-level factors (driver: lack of role clarity). Intentionally missed recommendations occurred due to user error due (drivers: lack of knowledge of guidelines or evidence) and appropriate modifications (driver: need to adapt a preoperative plan for a complicated postoperative course).
Only 55.7% of consult notes had all recommendations followed, suggesting a quality gap in perioperative medical care. Qualitative data suggests multiple drivers of missed recommendations that should be targeted to improve the efficiency of care for these patients.
Preoperative consultation requires an additional appointment for patients and caregivers and adds cost to the surgical process. However, measurement of the benefits of perioperative medical consultation has been challenging. While some studies have demonstrated benefit including reduced mortality (Vazirani et al., 2012), surgical cancellations (Ferschl et al., 2005; Macpherson & Lofgren, 1994), and length of stay (Vazirani et al., 2012), others have reported greater cost (Vazirani et al., 2012; Macpherson & Lofgren, 1994; Auerbach et al., 2007), postoperative complications (Pham et al., 2017; Minai & Kamal, 2004), length of stay (Macpherson & Lofgren, 1994; Auerbach et al., 2007), and no impact on surgical cancellations (Vazirani et al., 2012) or quality of care (Auerbach et al., 2007). A common limitation of these studies is that implementation of perioperative recommendations is not evaluated. Evidence suggests that 15–40% of patients receive no recommendations during a perioperative consultation (Auerbach et al., 2007; Katz et al., 2005) and up to 30% of recommendations are never completed (Katz et al., 2005; Ruzycki et al., 2017). Concurrent evaluation of implementation of perioperative recommendations is needed to accurately measure effect of perioperative consultation.
Further, reasons that these recommendations are not implemented are not well described (Auerbach et al., 2007; Katz et al., 2005). Limited data suggest that recommendations may be unintentionally missed by surgical teams due to communication or systems-level factors (Kluger et al., 2000), or intentionally not followed due to disagreements about the utility, safety, or acceptability of the recommendations (Nadler et al., 2014). Interventions to address quality gaps in perioperative care will likely fail if they do not target the underlying reason for missed recommendations.
Previous quality improvement work in our centre has found that at least 13% of the recommendations made during preoperative consultation are not followed by surgical teams . We undertook a sequential, explanatory mixed-methods study to characterize the types of recommendations that are not followed and to understand barriers and facilitators to implementing these recommendations, with the aim of developing interventions to improve the quality of perioperative care in our setting.
The study protocol was approved by our institutional ethics review board. Informed consent was obtained from all participants. This manuscript follows the Good Reporting of a Mixed Methods Study guidelines (O'cathain et al., 2008) and the Strengthening the Reporting of Observational Studies in Epidemiology guidelines for cross-sectional studies when reporting the methods and results for the quantitative stream (von Elm et al., 2007) and the COnsolidated Criteria for REporting Qualitative Research reporting guidelines for reporting the methods and results of the qualitative stream (Tong et al., 2007) (Additional file 1: Appendices 1–3).
This sequential, explanatory, mixed-methods study used both the participants selection model and a follow-up explanations model to first characterize and then explain missed recommendations (Creswell, 2017). The quantitative phase was a cross-sectional chart audit to characterize the types and numbers of recommendations made by internists that were not followed by the surgical team (“missed recommendations”) (Ivankova, 2006). This was followed by a qualitative phase of semi-structured interviews with members of the surgical team to understand why recommendations may not have been followed (Ivankova, 2006). The quantitative phase informed the types of surgeons who were recruited for the qualitative phase (e.g., those surgical teams with the greatest number of missed recommendations), the medical topic areas for focus in the interviews (e.g., those medical topics with the most missed recommendations), and guided question development (Creswell, 2017). These variations of the sequential explanatory mixed-methods design use a qualitative strand to explore findings of quantitative results and thus better describe missed perioperative recommendations than either method alone (Creswell, 2017).
The Foothills Medical Centre is a quaternary care hospital in Calgary, Alberta, Canada, serving a catchment area of 1.5 million people. The preadmission clinic (PAC) at the Foothills Medical Centre sees 250 to 300 adult patients undergoing elective, semi-urgent, or urgent surgery each month. Patients are referred by their surgeon or are captured through a screening process by booking clerks based on their home medications or the type of surgery. Patients are typically seen between 4 weeks and 1 day before surgery by an internist with the intention of identifying potential medical complications of surgery, providing recommendations for perioperative medication management and other relevant perioperative medical advice. Select patients may also be seen by anesthesiology for pain management or airway considerations.
After the in-person visit, the internal medicine physician dictates a consult note (“PAC visit note”) outlining pertinent medical facts and making recommendations for the patient’s care. The PAC visit note is faxed to the surgeon’s office and uploaded onto the provincial electronic health record, where it can be accessed by any physician in Alberta. The types of recommendations made are not prespecified and are based on the judgement of the internal medicine physician. After surgery, patients are cared for by multidisciplinary teams that may include a nurse practitioner who manages ward issues, residents, fellows, pharmacists, registered nurses, and staff surgeons.
A chart audit of all patients assessed in PAC in a 4-week period between April 1 and April 30, 2019 was completed. One reviewer (M.B.) assessed the PAC visit note for the number and type of recommendations using a data extraction template (Additional file 1: Appendix 4). Types of recommendations were prespecified based on common medical topics in perioperative medicine, and included medication, diabetes, respiratory, other endocrine, and cardiac. After surgery, two of three potential reviewers (M.B., S.C., B.M.) assessed the inpatient chart to identify whether the recommendations made in the PAC consult note were followed. Disagreements were resolved by discussion with a third reviewer. A missed recommendation was defined as a recommendation specified in the PAC consult note that was not followed. A completed recommendation was a recommendation made in the PAC consult note by that was followed as outlined.
To calculate the proportion of recommendations followed for categories of recommendations, we considered only consult notes that made the recommendation in the denominator; for example, only patients who were on home medications could be expected to have recommendations related to management of their home medications. We excluded patients who did not have any recommendations, patients with missing data, and patients whose surgeries had not been completed at the time of analysis (3 months after the PAC clinic visit). Chi-squared tests were used to compare categorical data, and the Mann-Whitney U test was used to compare non-parametric data. Statistical analysis was completed in Stata (version 11.2, StataCorp, College Station, TX). A p value of less than 0.05 was considered significant.
Semi-structured, 1-on-1 interviews with key informants were conducted to understand how PAC visit notes are used by the surgical team. The results of the quantitative phase were used to inform the design of the qualitative interview guide, including medical topic areas (e.g., diabetes, anticoagulation, deep vein thrombosis (DVT) prophylaxis) that were common sources of missed recommendations.
An interview guide was developed using the Consolidated Framework for Implementation Research (CFIR) (Damschroder et al., 2009) and the Theoretical Domains Framework (TDF) (Atkins et al., 2017). Combination of the CFIR and TDF can help understand multi-level implementation (Birken et al., 2017). CFIR is a conceptual framework used to understand factors that influence intervention implementation and effectiveness (Keith et al., 2017). CFIR has five domains: intervention characteristics, inner setting, outer setting, characteristics of individuals, and implementation process. In this study, the PAC visit note recommendation represents the intervention, and the CFIR domain intervention characteristics were used to understand how surgical team members interact with and perceive the PAC visit note during their care for surgical patients. The TDF is a framework used to identify determinants of behaviour change in the context of intervention implementation (Atkins et al., 2017). The TDF (version 2) uses fourteen domains: knowledge; skills; social/professional role and identity; beliefs about capabilities; optimism; beliefs about consequences; reinforcement; intentions; goals; memory, attention and decision processes; environmental context and resources; social influences; emotion; and behavioural regulation. The TDF was used to understand how variations in implementation of the PAC visit note recommendations were influenced by both individual behaviours and context factors. Interview guides were pilot tested with two key informants and adapted before use in the entire cohort. Interview guides are available in Additional file 1: Appendices 5–6.
Interviews lasted 30 to 60 min and were conducted in-person by a research associate with experience in interviewing and qualitative methods who does not work with the participants (K.F.). Interviews were audio recorded and transcribed verbatim, followed by manual cleaning to remove identifying information and ensure accuracy before analysis. Interview participants did not review their transcripts.
Interviews were coded using template analysis (Brooks & King, 2014) based on an a priori codebook developed using the CFIR and TDF domains. Coding was completed by two study team members: a content expert (S.M.R.) who works in PAC as an internal medicine physician and the interviewer (K.F.). Template analysis using established conceptual frameworks guides researchers to recognize themes that may be missed in inductive analysis. Additional codes were developed inductively by thematic analysis when the a priori codes were not applicable, creating a final template that was used to code all transcripts. Codes were independently assigned and disagreements in coding were reconciled between the two coders. Each theme was reviewed in its entirety and its valence was categorized as a facilitator, barrier, or neutral to implementing PAC visit note recommendations. The final coding template was used to create a framework that explained missed recommendations from the perspective of the surgical team. Data were managed using nVivo qualitative data analysis software (version 12.3.0).
Key informants were recruited using purposive criterion sampling of staff, trainees, or faculty working in a perioperative medical field at the Foothills Medical Centre in a discipline with a high number of missed recommendations. Surgery residents were recruited through an invitation circulated by chief residents in surgical programs with the highest numbers of missed recommendations, and surgeons from the same disciplines were recruited by convenience sampling based on previously expressed interest in perioperative medicine. Internists who spent the greatest number of weeks working in PAC per year were invited to participate. Participant role is provided except when reporting the discipline of practice may identify individual participants. Sampling continued until no new themes were identified in data analysis in three consecutive interviews (Guest et al., 2006). Participation was voluntary. Nurse practitioners and surgical residents were compensated for their time spent interviewing. Staff surgeons and internists were not reimbursed.
There were 296 patients scheduled for a PAC visit over the 4-week study period. One patient did not attend their appointment, 25 patients had no recommendations made, and 15 surgeries were postponed, cancelled, or unscheduled; therefore, 255 PAC visit notes were included in our analysis (Additional file 1: Appendix 7). The median age of patients was 66 years (IQR 57–72 years) and 161 patients were female (63.1%).
Overall, 55.7% of PAC visit notes (n=142) had all recommendations followed. Patients who had missed recommendations were older than patients who had all recommendations followed (median age 67 years (IQR 60–73 years) and 64 years (IQR 52–71 years), respectively; p=0.01) (Table 1). General surgery, spine, neurosurgical, and gynecologic procedures had the greatest numbers of patients with missed recommendations (Table 1).
Characteristics of recommendations made by internists in the PAC visit note are presented in Table 2. Recommendations that addressed perioperative management of any home medications were most common (n=242 of 248 eligible notes, 97.6%). There was no difference in the proportion of recommendations followed in the preoperative period compared to the postoperative period (50.2%, n=103/205; compared with 55.0%, n=137/249; p=0.31).
Of the patients seen, 39.6% (n=101) were on home anticoagulation or antiplatelet medications. Recommendations made for preoperative management were followed less than 65% of the time and postoperative recommendations were followed half of the time (64.6% and 50.0%, respectively; p=0.08). Over one-quarter of patients were on medications for diabetes and most of these patients had recommendations related to the management of diabetes in the perioperative period (n=60 of 72 eligible consult notes, 83.3%). Only 70.0% of recommendations related to perioperative diabetes medications were followed (n=42). Recommendations on management of these medications after surgery were made for less than half of patients (n=32, 44.4%), though these postoperative recommendations were commonly followed (n=29, 90.6%). Nearly three-quarters of patients were eligible for cardiac biomarker screening (referring to preoperative brain natriuretic peptides and/or postoperative troponin measurement) as per the Canadian Cardiovascular Society guidelines (Duceppe et al., 2017) (75.3%, n=192). Of these, only 62.0% (n=119) had a recommendation for patients to undergo cardiac biomarker testing, while 68.9% of patients with a recommendation had it completed (n=82).
Based on these data, the interview guide was adapted to (1) characterize the process by which PAC visit notes are reviewed and recommendations are entered to identify steps in the process where recommendations may be missed and (2) understand why inpatient surgical teams may not follow recommendations, especially those related to perioperative cardiac biomarker surveillance, diabetes, and anticoagulation. These specific questions were intended to address the overall aim of this study, which was to understand the number of and reasons for missed recommendations in PAC visit notes. This will allow us to better inform interventions to improve the quality of perioperative care in our centre.
We interviewed 18 participants, including 2 nurse practitioners (11%), 8 surgical residents (44%), 6 surgeons (33%), and 2 internists (11%) (Table 3). Participants represented neurosurgery (n=4, 22%), gynecology (n=4, 22%), general surgery (n=3, 17%), spine surgery (n=2, 11%), orthopedic surgery (n=1, 6%), otolaryngology (n=1, 56%), and thoracic surgery (n=1, 6%). One internist and one surgeon declined to participate due to schedule conflicts.
We used 31 themes in the final codebook (Additional file 1: Appendix 8). Twenty-five codes were based on constructs from CFIR and TDF and 6 were developed through inductive analysis. We separated social context and networks into two subconstructs (peer pressure and social influences, and external networks and internal networks, respectively) to discriminate between similar but different ideas. The six codes developed inductively captured specific medical topics (for example, anticoagulation, diabetes), critiques or suggestions for improvement of the PAC visit note, and differing ideas of the intention of the PAC visit note. Relevant constructs are listed in brackets in the reporting of results.
We categorized reasons for missed recommendations into a conceptual framework which delineates between different kinds of unintentionally and intentionally missed recommendations (Fig. 1). Our qualitative data shows that surgical teams may unintentionally miss recommendations due to both individual-level and systems-level factors. Intentionally missed recommendations can be divided into appropriate modifications (recommendations which surgical teams did not follow because they were not safe or reasonable for their patients) and user error (recommendations which were not followed due to misinterpretation or lack of knowledge of evidence and best practices). Additional supportive quotes are provided in Table 4.
Unintentional missed recommendations
Unintentional missed recommendations occurred when participants were unaware of PAC visit recommendations because they did not read the PAC visit note. Many participants expressed surprise at the proportion of recommendations that were not followed by surgical teams.
Individual-level drivers of missed recommendations
Participants from all groups reported that the most junior person on the surgical team was responsible for reading the PAC visit note and entering relevant orders after the end of the surgical case; this was the resident in most instances (Social Identity and Role).
We found that surgical team members were often unaware that patients may have had a PAC visit note (Knowledge) (Fig. 1). One neurosurgery resident stated “It wasn’t right away in my training [that I was told about the PAC visit note], it wasn’t something that was explicitly told to us, that, to look for when you started putting post-op orders... I wouldn’t look, and I didn’t know they were there [until] probably mid-way through first year” (P04).
There was variability between residents regarding whether they had an established routine or process for reading the PAC visit note (Behaviour Regulation) (Fig. 1). The absence of an established routine acted as a barrier to implementing recommendations while an established routine was a facilitator of implementing recommendations. The process of reviewing all surgical patients for a PAC visit note was able to overcome a lack of knowledge of which patients had been in PAC. For example, one surgical resident stated “Pretty much for all of our [elective] patients, I’ll ... see if they’ve been seen [by PAC internists], and if so then I typically try and implement most of the suggestions that they’ve recommended... I actually usually look at them either the night before or the morning of” (P10). Some surgical team members reviewed the PAC visit note only if they had time, while other residents always reviewed the PAC visit note (Relative Priority). Overall, this suggests that a routine of always reviewing the PAC visit note was the most important individual-level driver of missed PAC recommendations.
Systems-level drivers of missed recommendations
Similar to individual processes to view PAC visit notes and enter recommendations, surgical team members reported inconsistent systems-level mechanisms to ensure that the PAC visit note had been read and recommendations had been followed (External and Internal Networks) (Fig. 1). Team-based processes where orders were consistently reviewed to ensure all recommendations had been ordered were considered a facilitator of implementing PAC recommendations, and when this process was undefined, it was considered a barrier.
Some surgical teams relied on allied healthcare team members, including charge nurses and pharmacists, to notice omissions in the orders. As one neurosurgery resident stated, “No [one is checking orders], not from the surgical team perspective... the orders [are] put in after surgery... and most charge nurses will review and say GIM said to start this medication after 48 hours” (P04). Other surgical teams had a defined chain of responsibility that involved only physicians, where the more senior residents were double-checking the work of junior residents who entered orders.
While some staff surgeons reported reviewing the PAC visit note, none endorsed checking the postoperative orders to ensure that PAC recommendations had been followed and many stated that they never checked postoperative orders entered by residents. One staff neurosurgeon stated, “If I had to double check every drug [or] order a resident put in, I wouldn't get anything else done” (P18). Contrary to resident self-report, staff surgeons believed that the residents were consistently using the PAC visit note to guide postoperative order entry. This suggests a disconnect between the reported behaviours of surgical residents and the perceptions of staff surgeons, which may account for some unintentionally missed PAC visit note recommendations.
Drivers of intentional missed recommendations
We classified intentional missed recommendations into user error, referring to the decision to not follow a recommendation based on a mistake in judgement, or appropriate modifications, when surgical teams chose not to follow a recommendation because of changing patient status (Fig. 1). In addition, we observed that themes that explained the missed recommendation clustered by the medical topic of the recommendation.
Participants did not follow postoperative diabetes recommendations because of lack of skills to manage and titrate insulin, even when recommendations were specific about dosages and regimens (Skills) (Fig. 1). Residents felt that “we’re so not used [to prescribing] insulin, we’re worried [about] giving little or too much, and then we don’t really have the time or the capacity to make some fine adjustments... and patients are further more complicated, their oral intake is all messed up, so [diabetes] is... the thing that we’re struggling the most with” (P01, general surgery resident). Participants relied on sliding scale insulin to get patients through the postoperative period due to increased comfort with this regimen compared to basal bolus insulin therapy, even when there were PAC visit note recommendations to use basal bolus insulin therapy.
Members of the surgical team did not always follow recommendations for postoperative troponin surveillance because they did not understand the rationale of testing or benefits to patients (Knowledge) (Fig. 1). For example, “Some people don’t feel that troponin monitoring and the interventions actually result in changes to patient’s [management]... so even when we monitor them and [the troponin] go[es up] by five points, it’s... not like it’s a real problem” (P06, nurse practitioner).
Appropriate modifications of recommendations
Internists reported difficulty providing postoperative recommendations for patients because of anticipated physiologic changes after surgery and the difficulties in anticipating all the possible complications (Adaptability) (Fig. 1). One internist stated “It’s not realistic [to provide postoperative recommendations]... if they need help after the surgery, they should call for help... but to guess all the pathways that the patient could go down from what the problems may or may not be, what the surgeons may or may not be comfortable with... there are too many variables’ (P15, internist). Surgical residents agreed, stating ‘from our standpoint, our postop patients are not... the same person they were three days before surgery” (P12, gynecologic oncology resident).
Intentionally missed recommendations related to perioperative anticoagulation management were intentionally not followed when surgical team members did not agree with the evidence-base for the recommendations (Evidence Strength and Quality) (Fig. 1). This occurred when surgical team members reported that the guidelines used by internists to make recommendation did not apply to their specific surgical discipline based on their evaluation of the supporting evidence. In these cases, it is not possible to make a statement about which course of action is safest for patients.
This sequential, explanatory mixed-methods study identified that nearly half of all recommendations made in the PAC visit note were not followed by surgical teams using chart audit methodology. Postoperative anticoagulation management recommendations were most commonly missed. Semi-structured interviews with surgical team members identified that recommendations were unintentionally missed when surgical team members did not have a routine or habit for reviewing PAC visit note recommendations. Drivers for intentionally missed recommendations varied by medical topic and occurred when surgical team members did not have the skills to implement recommendations (diabetes), did not understand the rationale for the recommendations (postoperative troponin surveillance), or did not agree with the evidence based of the recommendation (anticoagulation). Together, these results can inform quality improvement for perioperative medical management and implementation of perioperative medical teams in other centres.
Previous qualitative work has suggested that surgeon preferences and healthcare team beliefs may act as barriers to implementation of Enhanced Recovery After Surgery best practices (Nadler et al., 2014). Further, the barriers to guideline adherence by physicians include skepticism, low skills, and low knowledge of guidelines (Cabana et al., 1999). We similarly identified systems-level and individual-level drivers of unintentionally missed recommendations, such as lack of knowledge of evidence or best practices, lack of awareness of the preoperative consultation, and lack of role clarity among members of the surgical team. Our data also suggests that some missed recommendations are intentional; for example, some missed recommendations occurred due to low skills for management of medical issues or skepticism of evidence and guidelines.
Interventions to improve uptake of perioperative recommendations should therefore not focus solely on knowledge-sharing with surgical teams, but should also address systems-level barriers such as order-entry processes, role clarification, and skills. These interventions should target all members of the surgical team rather than just physicians or trainees. Due to the number of missed recommendations due to appropriate modifications, investigators studying missed perioperative recommendations should also consider that there may always be a background rate of missed recommendations.
Further, these results may inform evaluation of the effectiveness of perioperative consultations. Despite decades of evaluation, it is not clear if these consultations improve the safety or quality of surgical care to justify the increased cost to health systems or burden on patients and their caregivers. Medical guidelines often make conflicting recommendations on perioperative management (Duceppe et al., 2017; Ruzycki et al., 2020) and substantial variation in patient selection, clinical pathways, and models of care for preoperative medical consultation have been reported [25, 26]. For example, some studies have reported no improvement in the quality of care received in patients who had a perioperative consult (Auerbach et al., 2007). However, these authors did not evaluate whether the recommendations made by the perioperative consult were actually implemented by the surgical team, which is a common limitation of studies that evaluate the effectiveness of perioperative medical consultations. Our results demonstrate that variable implementation of medical recommendations may explain the discrepant results of studies evaluating perioperative consultations. Further, our results suggest that implementation of recommendations should be measured and optimized before perioperative programs are evaluated, to ensure that results reflect the effect of the consultation rather than the implementation of recommendations. Investigators may use frameworks such as that described by Proctor et al. to evaluate implementation (Proctor et al., 2011).
Understanding these barriers and facilitators has led to recommendations to improve the quality of perioperative care in our setting. First, surgical residents should be taught about the PAC visit note during their orientation to residency. This orientation should also enforce that staff surgeons expect that the residents are implementing the PAC visit note recommendations. Second, surgical teams should formally clarify who is responsible for reviewing the PAC visit note and who is responsible for verifying that recommendations are ordered correctly. Third, surgical training programs should consider incorporating perioperative medical topics such as diabetes into their academic curriculums, to build skills in management of these issues. Lastly, internal medicine physicians should work with surgeons to create discipline-specific anticoagulation protocols that are acceptable to all stakeholders.
There is considerable variation in perioperative care delivery across centres (Flaker et al., 2016; Rohatgi et al., 2016) which may limit the transferability the results of our single-centre study. Systems-level factors like the availability of electronic health records and integration of inpatient and outpatient services may influence the proportion of unintentionally missed recommendations in other settings. In addition, our interview participants are likely to be more interested in perioperative medicine than non-participants. This may have increased the number of participants who are aware of the PAC visit notes and biased our results towards intentional missed recommendations. Lastly, we did not examine the difference in clinical outcomes between patients who had followed or missed recommendations due to small sample size. This should be examined in a follow-up study.
Overall, the results of this study aid research into the effectiveness of perioperative medical consultation by emphasizing the need to evaluate implementation of recommendations concurrently with other outcomes. In addition, these results provide a framework for understanding missed recommendations as unintentional and intentional, which allows for the design of interventions that target the barriers and facilitators of following recommendations in other settings.
Availability of data and materials
Data is available up on reasonable request from the corresponding author. Qualitative data will be de-identified prior to sharing.
Theoretical Domains Framework
Consolidated Framework for Implementation Research
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://doi.org/10.1186/s13012-017-0605-9.
Auerbach AD, Rasic MA, Sehgal N, Ide B, Stone B, Maselli J. Opportunity missed: medical consultation, resource use, and quality of care of patients undergoing major surgery. Arch Intern Med. 2007;167(21):2338–44. https://doi.org/10.1001/archinte.167.21.2338.
Birken SA, Powell BJ, Presseau J, Kirk MA, Lorencatto F, Gould NJ, et al. Combined use of the Consolidated Framework for Implementation Research (CFIR) and the Theoretical Domains Framework (TDF): a systematic review. Implement Sci. 2017;12(1):2. https://doi.org/10.1186/s13012-016-0534-z.
Brooks J, King N. Doing Template Analysis: Evaluating an End of Life Care Service. In: Sage Research Methods Cases; 2014. https://doi.org/10.4135/978144627305013512755.
Cabana MD, Rand CS, Powe NR, Wu AW, Wilson MH, Abboud PA, et al. Why don't physicians follow clinical practice guidelines? A framework for improvement. JAMA. 1999;282(15):1458–65. https://doi.org/10.1001/jama.282.15.1458.
Creswell JW, Clark V.L.P. Designing and conducting mixed methods research. 55 City Road. London: SAGE Publications; 2017.
Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4(1):50. https://doi.org/10.1186/1748-5908-4-50.
Duceppe E, Parlow J, MacDonald P, Lyons K, McMullen M, Srinathan S, et al. Canadian Cardiovascular Society Guidelines on perioperative cardiac risk assessment and management for patients who undergo noncardiac surgery. Can J Cardiol. 2017;33(1):17–32. https://doi.org/10.1016/j.cjca.2016.09.008.
Ferschl MB, Tung A, Sweitzer B, Huo D, Glick DB. Preoperative clinic visits reduce operating room cancellations and delays. Anesthesiology. 2005;103(4):855–9. https://doi.org/10.1097/00000542-200510000-00025.
Flaker GC, Theriot P, Binder LG, Dobesh PP, Cuker A, Doherty JU. Management of periprocedural anticoagulation: a survey of contemporary practice. J Am Coll Cardiol. 2016;68(2):217–26. https://doi.org/10.1016/j.jacc.2016.04.042.
Guest G, Bunce A, Johnson L. How many interviews are enough?: An experiment with data saturation and variability. Field Methods. 2006;18(1):59–82. https://doi.org/10.1177/1525822X05279903.
Ivankova NV. Creswell, J.W., Stick, Sl.L. Using mixed-methods sequential explanatory design: from theory to practice. Field Methods. 2006;18(1):3–20. https://doi.org/10.1177/1525822X05282260.
Katz RI, Cimino L, Vitkun SA. Preoperative medical consultations: impact on perioperative management and surgical outcome. Can J Anaesth. 2005;52(7):697–702. https://doi.org/10.1007/BF03016556.
Keith RE, Crosson JC, O’Malley AS, Cromp R, Fries Taylor E. Using the Consolidated Framework for Implementation Research (CFIR) to produce actionable findings: a rapid-cycle evaluation approach to improving implementation. Implement Sci. 2017;12(1):15. https://doi.org/10.1186/s13012-017-0550-7.
Kluger MT, Tham EJ, Coleman NA, Runciman WB, Bullock MF. Inadequate pre-operative evaluation and preparation: a review of 197 reports from the Australian incident monitoring study. Anaesthesia. 2000;55(12):1173–8. https://doi.org/10.1046/j.1365-2044.2000.01725.x.
Macpherson DS, Lofgren RP. Outpatient internal medicine preoperative evaluation: a randomized clinical trial. Med Care. 1994;32(5):498–507. https://doi.org/10.1097/00005650-199405000-00008.
Minai FN, Kamal RS. Evaluation of cardiology consultations sought from the anaesthesia clinic. J Coll Physicians Surg Pak. 2004;14(4):199–201.
Nadler A, Pearsall EA, Victor JC, Aarts MA, Okrainec A, McLeod RS. Understanding surgical residents' postoperative practices and barriers and enablers to the implementation of an Enhanced Recovery After Surgery (ERAS) Guideline. J Surg Educ. 2014;71(4):632–8. https://doi.org/10.1016/j.jsurg.2014.01.014.
O'Cathain A, Murphy E, Nicholl J. The quality of mixed methods studies in health services research. J Health Serv Res Policy. 2008;13(2):92–8. https://doi.org/10.1258/jhsrp.2007.007074.
Pham CT, Gibb CL, Fitridge RA, Karnon JD. Effectiveness of preoperative medical consultations by internal medicine physicians: a systematic review. BMJ Open. 2017;7(12):e018632. https://doi.org/10.1136/bmjopen-2017-018632.
Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. 2011;38(2):65–76. https://doi.org/10.1007/s10488-010-0319-7.
Rohatgi N, Loftus P, Grujic O, Cullen M, Hopkins J, Ahuja N. Surgical comanagement by hospitalists improves patient outcomes: a propensity score analysis. Ann Surg. 2016;264(2):275–82. https://doi.org/10.1097/SLA.0000000000001629.
Ruzycki SM, Prystajecky M, Driedger MR, Kachra R. Peri-operative cardiac biomarker screening: a narrative review. Anaesthesia. 2020;75(Suppl 1):e165–e73.
Ruzycki SM KR, Li P, Walsh J, Minty E, Zarnke K., editor Characterization of current CCS perioperative guideline uptake in a single pre-admission clinic. American College of Physicians Rocky Mountain; 2017; Banff, Alberta: Canadian Journal of General Internal Medicine.
Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. International J Qual Health Care. 2007;19(6):349–57. https://doi.org/10.1093/intqhc/mzm042.
Vazirani S, Lankarani-Fard A, Liang LJ, Stelzner M, Asch SM. Perioperative processes and outcomes after implementation of a hospitalist-run preoperative clinic. J Hosp Med. 2012;7(9):697–701. https://doi.org/10.1002/jhm.1968.
von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Bull World Health Organ. 2007;85(11):867–72. https://doi.org/10.2471/BLT.07.045120.
Rita Alemao provided administrative support for this project. Dr. Kelly Zarnke provided supervision and advice on the study design for this project.
This study was funded by an Alberta Health Services Chief Medical Officer Quality Improvement grant. The funding body had no role in the design of the study, data collection, analysis, or interpretation, and writing the manuscript.
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The University of Calgary institutional ethics review board approved this study (REB19-0022). All participants provided consent to participate, including publication of quotes.
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Flemons, K., Bosch, M., Coakeley, S. et al. Barriers and facilitators of following perioperative internal medicine recommendations by surgical teams: a sequential, explanatory mixed-methods study. Perioper Med 11, 2 (2022). https://doi.org/10.1186/s13741-021-00236-x