Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Non-compliance with clinical guidelines increases the risk of complications after primary total hip and knee joint replacement surgery

  • Helen Mary Badge ,

    Contributed equally to this work with: Helen Mary Badge, Tim Churches, Justine M. Naylor, Wei Xuan, Ian A. Harris

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    helen.badgehawke@gmail.com

    Affiliations Whitlam Orthopaedic Research Centre, Liverpool, Australia, South Western Sydney Clinical School, UNSW, Liverpool, Australia, Ingham Institute for Applied Medical Research, Liverpool, Australia, Australian Catholic University, North Sydney, Australia

  • Tim Churches ,

    Contributed equally to this work with: Helen Mary Badge, Tim Churches, Justine M. Naylor, Wei Xuan, Ian A. Harris

    Roles Data curation, Formal analysis, Methodology, Software, Supervision, Validation, Visualization, Writing – review & editing

    Affiliations South Western Sydney Clinical School, UNSW, Liverpool, Australia, Ingham Institute for Applied Medical Research, Liverpool, Australia

  • Justine M. Naylor ,

    Contributed equally to this work with: Helen Mary Badge, Tim Churches, Justine M. Naylor, Wei Xuan, Ian A. Harris

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

    Affiliations Whitlam Orthopaedic Research Centre, Liverpool, Australia, South Western Sydney Clinical School, UNSW, Liverpool, Australia, Ingham Institute for Applied Medical Research, Liverpool, Australia

  • Wei Xuan ,

    Contributed equally to this work with: Helen Mary Badge, Tim Churches, Justine M. Naylor, Wei Xuan, Ian A. Harris

    Roles Data curation, Formal analysis, Methodology, Supervision, Writing – review & editing

    Affiliations South Western Sydney Clinical School, UNSW, Liverpool, Australia, Ingham Institute for Applied Medical Research, Liverpool, Australia

  • Elizabeth Armstrong ,

    Roles Data curation, Methodology, Project administration, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Falls Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, Australia

  • Leeanne Gray ,

    Roles Investigation, Project administration, Resources, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation South Western Sydney Local Health District, Liverpool, Australia

  • John Fletcher ,

    Roles Conceptualization, Data curation, Methodology, Project administration, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliations University of Sydney, Camperdown, NSW, Australia, Westmead Hospital, Westmead, NSW, Australia

  • Iain Gosbell ,

    Roles Conceptualization, Data curation, Methodology, Project administration, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliations Ingham Institute for Applied Medical Research, Liverpool, Australia, Western Sydney University, Campbelltown, NSW, Australia

  • Christine Lin ,

    Roles Conceptualization, Methodology, Project administration, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Sydney School of Public Health, The University of Sydney, Camperdown, NSW, Australia

  • Ian A. Harris

    Contributed equally to this work with: Helen Mary Badge, Tim Churches, Justine M. Naylor, Wei Xuan, Ian A. Harris

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

    Affiliations Whitlam Orthopaedic Research Centre, Liverpool, Australia, South Western Sydney Clinical School, UNSW, Liverpool, Australia, Ingham Institute for Applied Medical Research, Liverpool, Australia, South Western Sydney Local Health District, Liverpool, Australia

Abstract

Background

Total hip and total knee replacement (THR/TKR) are common and effective surgeries to reduce the pain and disability associated with arthritis but are associated with small but significant risks of preventable complications such as surgical site infection (SSI) and venous-thrombo-embolism (VTE). This study aims to determine the degree to which hospital care was compliant with clinical guidelines for the prevention of SSI and VTE after THR/TKR; and whether non-compliant prophylaxis is associated with increased risk of complications.

Methods and findings

A prospective multi-centre cohort study was undertaken in consenting adults with osteoarthritis undergoing elective primary TKR/THR at one of 19 high-volume Australian public or private hospitals. Data were collected prior to surgery and for one-year post-surgery. Four adjusted logistic regression analyses were undertaken to explore associations between binary non-compliance and the risk of surgical complications: (1) composite (simultaneous) non-compliance with both (VTE and antibiotic) guidelines and composite complications [all-cause mortality, VTE, readmission/reoperation for joint-related reasons (one-year) and non-joint-related reasons (35-days)], (2) VTE non-compliance and VTE outcomes, (3) antibiotic non-compliance and any SSI, and (4) antibiotic non-compliance and deep SSI. Data were analysed for 1875 participants. Guideline non-compliance rates were high: 65% (VTE), 87% (antibiotics) and 95% (composite guideline). Composite non-compliance was not associated with composite complication (12.8% vs 8.3%, adjusted odds ratio [AOR] = 1.41, 95%CI 0.68–3.45, p = 0.40). Non-compliance with VTE guidelines was associated with VTE outcomes (5% vs 2.4%, AOR = 2.83, 95%CI 1.59–5.28,p < 0.001). Non-compliance with antibiotic guidelines was associated with any SSI (14.8% vs 6.1%, AOR = 1.98, 95%CI 1.17–3.62,p = 0.02) but not deep infection (3.7% vs 1.2%,AOR = 2.39, 95%CI 0.85–10.00, p = 0.15).

Conclusions

We found high rates of clinical variation and statistically significant associations between non-compliance with VTE and antibiotic guidelines and increased risk of VTE and SSI, respectively. Complications after THR/TKR surgery may be decreased by improving compliance with clinical guidelines.

Background

Primary elective total hip replacement (THR) and total knee replacement (TKR) are effective surgical procedures that reduce pain and disability associated with severe arthritis [1, 2]. In 2019, over 97,000 THR and TKR were performed in Australia [3] and nearly 232,000 in the United [4]. Demand for these procedures continues to grow [5, 6]. Although these procedures are cost-effective, they are associated with a small but important risk of complications that increase mortality, morbidity and cost [1, 7].

THR and TKR patients are considered at risk of venous thromboembolism (VTE) and surgical site infection (SSI), both of which are associated with poorer patient experience, high disease burden and increased costs for patients and the health system [810]. There is strong evidence that prophylaxis for VTE and SSI after THR and TKR is effective [11, 12]. Compliance with the available evidence-based clinical guidelines [1315] is thought to be low and contributes to unwarranted variation in current VTE and antibiotic prophylaxis between surgeons and hospitals [1618]. Although patient care may need to be varied from recommended care to address patient-specific issues, unwarranted variation may increase costs and negatively impact patient outcomes and service capacity [19, 20]. Consequently, programs to improve compliance with clinical guidelines are being implemented internationally due to the potential to improve the value of THR and TKR [2123].

Despite clinical guidelines being evidence-based, prospective studies have not explored the association between compliance with recommended care and complications. Using a prospective cohort of participants who underwent elective TKR or THR in Australian hospitals, this study aims to determine the magnitude of guideline non-compliance and answer the following questions:

  1. Is there an association between simultaneous non-compliance with both (antibiotic and VTE) guidelines and the rate of surgical complications after elective primary total joint replacement surgery?
  2. Is there an association between non-compliance with VTE prophylaxis guidelines and VTE after elective primary total joint replacement surgery?
  3. Is there an association between non-compliance with antibiotic guidelines and postoperative infection rate (considering all SSI and deep SSI requiring readmission/reoperation) after elective primary total joint replacement surgery?

Methods

Registration and data collection

A prospective observational cohort study of people undergoing elective primary total hip or knee replacement for osteoarthritis in one of 19 high-volume institutions in Australia was performed to examine the relationship between non-compliance with nationally recommended contemporaneous VTE prophylaxis guidelines and antibiotic guidelines and patient outcomes. Eligible sites included private and public Australian hospitals with high annual surgical volume (over 275 cases per year) of THR and TKR surgery. Inclusion criteria for participants in the study were: consenting adults (over 18 years) with a primary diagnosis of osteoarthritis undergoing primary TKR or THR; sufficient English to comprehend the protocol; and available to participate in follow-up for 12 months.

Investigators identified 36 eligible sites, including 27 identified through random selection from eligible sites listed on the Australian ’My Hospitals’ website and an additional nine sites identified by convenience sampling [24]. Twenty sites elected to participate, but one was denied governance approval leaving 19 participating sites. Sites were provided with face-to-face and remote training, study resources, ongoing support, and reimbursement for each eligible participant with complete acute data. Site coordinators screened and recruited participants during routine pre-admission assessment. Consecutive screening of all potential participants was planned although staff absences interrupted screening at some sites. Prior to commencement, the study protocol was registered (NCT01899443) [25] and ethical approval was obtained from nine human research ethics committees.

Prior to data collection informed written consent was obtained from eligible participants and the signed consent form was witnessed by the site coordinator. The site coordinators collected prospective pre-operative data from participants via interview, including socio-demographic information, past medical history, indications, and contraindications for VTE and antimicrobial prophylaxis, and acute care data from the medical records. Participants provided post-acute data via telephone follow-up at approximately 35, 90, and 365 days post-surgery. Participants and sites provided details regarding prophylaxis and surgical complications.

The researchers completed an audit of all medical records and by contacting surgeons, primary care physicians and other hospitals to verify the accuracy of patient-reported and acute complications. Any reported complication was coded as a dichotomous variable to indicate whether the participant did or did not experience the complication. The primary outcome was a composite outcome comprising all-cause mortality, any VTE and any reoperation or readmissions within 35 days for medical issues or within 365 days for joint-related complications. Secondary outcomes included any VTE event [pulmonary embolism (PE) or deep vein thrombosis (DVT)], any SSI (requiring oral or IV antibiotics, readmission, or reoperation) and only deep SSI (requiring readmission or reoperation) up to 365 days post-surgery.

Criteria for compliance with clinical guidelines

Compliance was calculated with the recommendations of two nationally produced guidelines for Australian health services:

  1. National Health and Medical Research Council (NHMRC) Clinical Practice Guideline for the Prevention of Venous Thromboembolism (Deep Vein Thrombosis and Pulmonary Embolism) in Patients admitted to Australian hospitals (2009) [13]; and
  2. Therapeutic Guidelines: Antibiotic Version 14 (2010) [14]

These guidelines were current during the study. Discrete elements of compliance were identified from the recommendations in each guideline. Investigators engaged in an a priori iterative consensus process to determine clear criteria for compliance versus non-compliance with each element of care compliance that could be consistently applied to assess the variety of prophylactic regimens (See Table 1). This process was vital where recommendations were ambiguous or hard to define and allowed patient appropriate deviation to be considered compliant.

thumbnail
Table 1. Criteria for compliance with NHMRC guidelines for prevention VTE (2009) [13] and therapeutic guidelines antibiotics (2010) [14].

https://doi.org/10.1371/journal.pone.0260146.t001

The study criteria for VTE compliance for the appropriate prophylactic agent and dose were more lenient than the guideline recommendations. The NHMRC recommendations were ambiguous about the use of warfarin in relation to the concurrent management of cardiovascular disease [13]. We allowed (as ’compliant’) the use of warfarin or UFH and higher than recommended doses for any recommended drug. While neither warfarin nor heparin are commonly used for primary VTE prophylaxis in Australia, this enabled clinically appropriate decisions regarding therapy for comorbid conditions to take priority over preventing a potential VTE. We could not reach agreement regarding the duration of mechanical prophylaxis based on the recommendation to use ’until regained full mobility’, so compliance with mechanical prophylaxis was not included [13].

The guideline recommendations regarding antibiotic prophylaxis were less ambiguous [14]. We used patient-reported indications and contraindications to indicate when vancomycin was used appropriately but did not impose penalty for non-use of vancomycin given participants may not be accurate in reporting allergies. Regarding the criteria for compliant duration of antibiotics, we allowed 3 hours longer than the 24 hours recommended to accommodate minor variations in scheduled drug administration.

Compliance was assessed as a series of dichotomous variables for each element of the guideline, for patients who completed at least one follow-up. Prophylaxis was considered non-compliant with the overall guideline if one or more elements were considered non-compliant. Composite (overall) compliance required prophylaxis that was compliant with all elements of both the VTE and the antibiotic guidelines.

Determining compliance required assessment of complex data describing the prophylaxis received as well as patient specific indications and contra-indications. Computer-based algorithms were developed in R to automatically generate compliance results. This ensured the consistent application of the criteria for compliance and the accuracy of these data was confirmed by comparing these results with manually calculated compliance results.

Sample size calculation

Based on a previous study [26], the a priori compliance to non-compliance ratio in these participants was taken to be 2:1 (i.e. 67% versus 33%), and the prevalence of the composite outcome to be 7% in the compliance subgroup (reference group). Calculation determined that 1102 participants in the compliant group and 551 participants in the non-compliant group (1653 in total) would provide 80% power at a 5% significance level to detect a significant Relative Risk (RR) of 1.6 for non-compliance. The prevalence of the composite outcome was estimated to be 11% in the non-compliant group compared to 7% in the compliant group. The planned sample size was increased to 2200 to consider a multiple correlation coefficient of 0.1 among known confounders and allow for 7% loss to follow-up by 35 days.

Data analyses

All data were entered into a designated REDCap database hosted by the University of New South Wales [27]. Initial analysis was performed (by WX) using SAS [28]. All final analyses were conducted Independently (by TC, HB and IAH) using Foundation for Statistical Computing Platform (version 3.6.1) [29]. Descriptive statistics were calculated to profile site-level and participant-level characteristics. Results were presented as the median and inter-quartile range (IQR) or mean and standard deviation (SD). Some variables [bilateral joint, smoking status, American Society of Anesthesiology score (ASA), education, neuraxial anaesthesia] were collapsed to allow for adequate sample size or clinically meaningful groups to be included in analyses. Bivariable analyses were undertaken for each outcome.

We conducted four conducted multiple logistic regression analyses to explore associations between non-compliance and risk of outcomes as follows: (1) non-compliance with both VTE and antibiotic guidelines and composite outcomes (2) VTE non-compliance and VTE outcomes, (3) antibiotic non-compliance with any SSI and (4) antibiotic non-compliance and deep SSI. Patient and care factors known to increase the risk of surgical complications (including VTE and SSI) were considered as potential confounders [3032]. Factors identified on univariate analysis with a p-value < 0.25 were entered into a backwards, stepwise multivariable logistic regression model (using the Akaike information criterion–AIC) to identify the association between guidelines compliance and complication outcomes for each analysis. We reported the final model after backwards stepwise regression using AIC and forcing only the main predictor (non-compliance) into each model.

Missing data were imputed using multivariate imputation by chained equations (MICE). Model selection was performed using one of the imputed datasets, and effect estimates were taken from the pooled estimates using the five imputed datasets. We tested the models with all two-way interaction terms entered, and none of these was significant. Sensitivity analyses were performed using complete case analysis and Bayesian information criterion (BIC). Further sensitivity analyses were completed without including routine doppler ultrasound (DUS), given this may mediate VTE complication outcomes. Interaction terms for the main predictor (non-compliance) against each other variable were tested in the final model for each analysis. A de-identified version of the data set and the full R code for all analyses are available (https://doi.org/10.26190/c46r-ne05).

Results

Sample ascertainment

Seventy-seven percent (2529/3285) of all patients screened were eligible for participation (See Fig 1). Of these, 2143 people provided consent preoperatively, and data were received for 1905 (88.9%) consenting participants as some did not proceed to surgery or no acute data were received by investigators. Thirty (1.6%) people were excluded from analyses as they did not have any post-acute follow up. Missing data for each variable was less than 2% for all variables except ASA class (2.2% missing).

thumbnail
Fig 1. Participant recruitment, eligibility, and participation results.

https://doi.org/10.1371/journal.pone.0260146.g001

Sites, surgeon and participant characteristics

Site, surgeon, and participant characteristics are provided in Table 2. There were 19 sites from five Australian states. Sites included 10 public hospitals that completed 45.9% of surgical procedures, the other sites being private hospitals. The number of participants ranged from 12 to 294 from each site, and 1–125 per surgeon. Routine Doppler ultrasound was performed by one site and two surgeons at two other sites.

Indications for appropriate use of vancomycin were reported for 17.2% (N = 322) of the sample, although vancomycin was used appropriately in 31.6% of the 136 of people who received it and not used in 14.1% of participants with relevant indications (See Table 3 and S1 and S2 Tables in S1 File). Almost 30% of all participants were taking pre-operative medications commonly used for postoperative VTE prophylaxis, and this included 20.4% of people who reported taking medication for comorbid heart disease (See S3 Table in S1 File).

thumbnail
Table 3. Prevalence of complications at one year included in the composite outcome.

https://doi.org/10.1371/journal.pone.0260146.t003

Participant outcomes: Surgical complications up to one year

There were 355 surgical complications that met the criteria for the composite complication that were experienced by 234 (12.5%) participants (See Table 3). Five participants died from surgical complications, and seven died from medical causes unrelated to the surgery. The incidence of VTE was 4.1% (N = 76), with nearly three-quarters of the cases being DVT alone (See Table 3 & S4 Table in S1 File). Joint-related complications in the first year after surgery accounted for 85.9% (N = 159/185) of all readmissions and 88.8% (119/134) of all reoperations (See Table 3 & S5-S7 Tables in S1 File). Deep infection included joint or wound infections requiring intravenous (IV) antibiotics or readmission (N = 46) or reoperation (N = 17) and were experienced by 3.4% (N = 63) of the participants. Bleeding complications requiring readmission/reoperation were experienced by 7 (0.37%) people for joint-related bleeding and 10 (0.53%) people for on-joint related bleeding (See S8 Table in S1 File) [33].

VTE, antibiotic and combined (composite) compliance

Table 4 reports all compliance results. The level of compliance with both VTE and antibiotic guidelines was 4.5%. Overall compliance with all VTE recommendations was 35.3% [13]. Contrary to expectation, the use of multiple medications for postoperative VTE prophylaxis was common, with 45.5% (N = 854) of people receiving 2–4 different medications (See S2 Table in S1 File). Nearly a third of participants took a drug at higher or lower than recommended dose, and the duration of prophylaxis was longer than recommended for 33% THR and 58% TKR participants [13]. Overall compliance with antibiotic guidelines was 13.2% [14]. Fewer than half the sample received a single prophylactic antibiotic (46.4%), while 8.1% received 3 or 4 different antibiotics (See S1 & S2 Tables in S1 File). The most used antibiotic was cephazolin (90.7%).

thumbnail
Table 4. VTE, antibiotic and combined (composite) compliance.

https://doi.org/10.1371/journal.pone.0260146.t004

Association between composite non-compliance and composite surgical complications.

The higher incidence of composite outcome in the (overall) non-compliant group was not statistically significant in either the unadjusted or adjusted analyses (See Table 5). There were no differences in any sensitivity analyses, with the effect estimate for composite non-compliance remaining non-significant when routine doppler ultrasound was removed.

thumbnail
Table 5. Association between composite non-compliance and composite outcome.

https://doi.org/10.1371/journal.pone.0260146.t005

Association between VTE non-compliance and VTE outcomes.

There was a significantly higher incidence of VTE outcomes in the (VTE prophylaxis guideline) non-compliant group in both the unadjusted (p = 0.008) and adjusted analyses [5.0% vs 2.4%, AOR = 2.75, 95%CI 1.57–5.08, p < 0.001) (See Table 6). There were no meaningful differences in the effect estimate for VTE non-compliance (AOR = 2.62) or model results when routine doppler ultrasound was excluded from the model. There was no significant interaction between the main predictor (non-compliance) and other variables included in the final model and the other three analyses completed.

thumbnail
Table 6. Association between VTE non-compliance and VTE outcomes (final model).

https://doi.org/10.1371/journal.pone.0260146.t006

Association between antibiotic non-compliance and all joint infection outcomes

There was a significantly higher incidence of joint infection outcomes in the (antibiotics guideline) non-compliant group in both the unadjusted (p = <0.001) and adjusted analyses (14.8% vs 6.1%, AOR = 1.98, 95%CI 1.17–3.62, p = 0.02) (See Table 7). VTE compliance was included in the SSI models as it was significant on bivariable analysis for both SSI outcomes and a biologically plausible confounder for infection. Non-compliance with VTE guidelines was also associated with all SSI outcomes (AOR = 1.52, 95%CI 1.11–5.42-, p < 0.01). There was no significant interaction between the main predictor (non-compliance) and other variables included in the final model.

thumbnail
Table 7. Association between antibiotic non-compliance and any Surgical Site Infection (SSI) outcome.

https://doi.org/10.1371/journal.pone.0260146.t007

Association between antibiotic non-compliance and deep joint infection outcomes

The higher rate of deep infections in the non-compliant group (3.7%) than the compliant group (1.2%) was statistically significant in the unadjusted analysis but not in the adjusted analysis (3.7% vs 1.2%, AOR = 2.39, 95%CI 0.85–10.00, p = 0.15) (See Table 8).

thumbnail
Table 8. Association between antibiotic non-compliance and deep SSI outcomes.

https://doi.org/10.1371/journal.pone.0260146.t008

Sensitivity analyses using a complete case analysis and using BIC model selection criteria did not demonstrate different results (See S1-S8 Tables in S1 File).

Discussion

This is the first study to systematically examine the relationship between patient appropriate recommended care using Australian clinical guidelines for the prevention of VTE and infection after elective THA and TKA and adverse patient outcomes. The study showed important and statistically significant associations between non- compliance with VTE prophylaxis guidelines and VTE complications, and non-compliance with antibiotic prophylaxis guidelines and increased risk of surgical site infection.

These results are consistent with one previous study that demonstrated increased risk of infection associated with non-compliance with the Therapeutic Guidelines Antibiotic (OR = 2.74, 95% CI 1.15–6.53), although this study also included patients undergoing THR for hip fracture [34]. Direct comparison with other studies is difficult due to variation in clinical guidelines used, the criteria for compliance, mixed surgical caseloads, limitations associated with administrative data and lack of follow-up in some studies [26, 35, 36]. These factors may explain the variation reported in previous studies. While some previous studies reported significant association between complications and adherence to evidence-based antibiotic [34, 37, 38] and VTE prophylaxis [39], other studies showed no significant difference in outcomes [23, 35, 40]. Unlike previous research, we did not observe a significant association between risk of complications and non-compliance with a composite process of care [26]. While the use of a composite measure aimed to reflect overall service quality, this may have masked the association between specific processes of care and outcomes [41, 42].

This study also demonstrated extremely high rates of non-compliance with both guidelines (95.6%), and VTE (63.5%) and antibiotic prophylaxis (86.7%) guidelines individually. The rate of VTE non-compliance was higher than other Australian studies (38–53% and 42% respectively) [18, 43]. The rate of antibiotic non-compliance reported in this study was much higher than recent Australian studies using the same antibiotic guidelines which reported 34% and 38.7% non-compliance [34, 44], but consistent with earlier Australian studies (86% and 86.7%) [43, 45]. In contrast, a Surgical Care Improvement Project study from the United States reported non-compliance rates as low as 4% for preventing infection and 2.5% for preventing VTE using administrative data [35]. International studies also reported wide variation in VTE and antibiotic guideline adherence, but again direct comparison remains difficult due to the use of different study methods, lack of adjustment for patient-appropriate variations and mixed patient populations [17, 46].

Our study also demonstrated high levels of unwarranted clinical variation in routine care to prevent infection and VTE after TKR and THR. The use of multiple prophylactic drugs, higher than recommended dose, and longer than recommended duration of prophylaxis, were surprising given the risks associated with inappropriate care [16, 4750]. Prolonged VTE prophylaxis may increase the risk of bleeding; conversely when the duration or dose is insufficient, prophylaxis may be inadequate [50]. The high level of antibiotic overuse is concerning given the evidence suggesting that longer duration provides no additional protection against infection and has been associated with an increased risk of adverse events, antibiotic resistance, and higher cost of care [51, 52]. Nearly 60% of participants received more than one antibiotic when a single pre-operative dose of a single antibiotic is considered sufficient [12]. Inadequate prophylaxis due to underdosing is associated with higher risk of infections [53]. Given the risks associated with inappropriate care, further efforts to increase the implementation of evidence-based prophylaxis are urgently needed to improve the value and outcomes from THR and TKR [20, 21, 54].

This study has several limitations. Our sample was relatively consistent with national joint registry data for age, sex, body mass index (BMI) and ASA scores but included a higher proportion of THR and higher rate of surgery performed in public versus private hospitals [3]. Alternative approaches to determine compliance and use of different clinical guidelines may yield different results, however we considered our criteria to be more lenient than a strict interpretation of the guidelines. Further research should explore whether specific features of prophylactic regimes have greater impact on reducing risk of complications. Replicating this study with current Australian and international guidelines for the prevention of VTE and surgical site infection is recommended [55].

A key strength of this study lies in the prospectively collected and audited clinical data and low rate of missing data that describes care provided in detail as opposed to large administrative data that may be prone to coding errors [5658]. The current study allowed more comprehensive analyses of detailed processes of care from evidence-based clinical guidelines for the prevention of VTE and infection than previous studies [26, 59, 60]. We used robust criteria and computer-based algorithms for assessing compliant care that addressed patient-specific variations, as clinical decisions made in the patient’s best interests may be deemed ’technically’ non-compliant. The rigour of our approach and use of prospectively collected clinical data may help to explain the much higher rates of non-compliance we reported compared to most previous studies [9, 58].

The increased risk of VTE and infection complications associated with low levels of compliance with evidence-based prophylaxis suggest that further work to improve the implementation of clinical guidelines is needed. Reducing unnecessary clinical variation and preventing avoidable VTE and infection complications will improve the patient and service outcomes and should support cost-containment [20, 61]. Optimising patient outcomes from THR and TKR will improve the value and sustainability of these procedures.

Supporting information

Acknowledgments

Thanks to Dr Luan Dang, Shirley Cross and Carolyn Gray-Robens for verifying the accuracy of patient reported complications.

The authors would like to acknowledge the contribution of the following research assistants who supported data collection and data entry including Carolyn Gray-Robens, Shirley Cross, Marg Easterbrook, Michelle Jones, Nidhi Jain, Catherine Belousoff, Kelly Wheeler, and others.

In memory of Jo.

References

  1. 1. Skou ST, Roos EM, Laursen MB, Rathleff MS, Arendt-Nielsen L, Simonsen O, et al. A randomized, controlled trial of total knee replacement. N Engl J Med. 2015;373(17):1597–606. pmid:26488691
  2. 2. Shan L, Shan B, Graham D, Saxena A. Total hip replacement: a systematic review and meta-analysis on mid-term quality of life. Osteoarthr Cartil. 2014;22(3):389–406. pmid:24389057
  3. 3. Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR). Hip, knee & shoulder arthroplasty 2020 annual report. Adelaide: AOA; 2020.
  4. 4. American Academy of Orthopaedic Surgeons. American Joint Replacement Registry Annual Report 2020. 2020.
  5. 5. Ackerman IN, Bohensky MA, Zomer E, Tacey M, Gorelik A, Brand CA, et al. The projected burden of primary total knee and hip replacement for osteoarthritis in Australia to the year 2030. BMC Musculoskelet Disord. 2019;20(1):90. pmid:30797228
  6. 6. Singh JA, Yu S, Chen L, Cleveland JD. Rates of total joint replacement in the United States: future projections to 2020–2040 using the national inpatient sample. J Rheumatol. 2019;46(9):1134–40. pmid:30988126
  7. 7. Peel TN, Cheng AC, Liew D, Buising KL, Lisik J, Carroll KA, et al. Direct hospital cost determinants following hip and knee arthroplasty. Arthritis Care Res. 2015;67(6):782–90. pmid:25470687
  8. 8. Pedersen A. B., Mehnert F., Sorensen H. T., Emmeluth C., Overgaard S., JS P. The risk of venous thromboembolism, myocardial infarction, stroke, major bleeding and death in patients undergoing total hip and knee replacement. Bone Joint J. 2014;96-B(4):479–85. pmid:24692614
  9. 9. Springer BD, Cahue S, Etkin CD, Lewallen DG, McGrory BJ. Infection burden in total hip and knee arthroplasties: an international registry-based perspective. Arthroplasty Today. 2017;3(2):137–40. pmid:28695187
  10. 10. Shahi A, Chen AF, Tan TL, Maltenfort MG, Kucukdurmaz F, Parvizi J. The incidence and economic burden of in-hospital venous thromboembolism in the United States. J Arthroplasty. 2016;32(4):1063–6. pmid:27866951
  11. 11. Nadi S, Vreugdenburg TD, Atukorale Y, Ma N, Maddern G, Rovers M. Safety and effectiveness of aspirin and enoxaparin for venous thromboembolism prophylaxis after total hip and knee arthroplasty: a systematic review. ANZ J Surg. 2019;89(10):1204–10. pmid:30989803
  12. 12. Siddiqi A, Forte SA, Docter S, Bryant D, Sheth NP, Chen AF. Perioperative antibiotic prophylaxis in total joint arthroplasty. J Bone Joint Surg [Internet]. 2019; 101(9):[828–42 pp.]. Available from: pmid:31045673
  13. 13. National Health and Medical Research Council. Clinical practice guideline for the prevention of venous thromboembolism (deep vein thrombosis and pulmonary embolism) in patients admitted to Australian hospitals. Melbourne: NHMRC; 2009.
  14. 14. Therapeutic Guidelines Limited. Therapeutic Guidelines–Antibiotic. Version 14 ed. Melbourne: Therapeutic Guidelines Limited; 2010.
  15. 15. 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. pmid:23327981
  16. 16. Hickson C, Metcalfe D, Elgohari S, Oswald T, Masters J, Rymaszewska M, et al. Prophylactic antibiotics in elective hip and knee arthroplasty: an analysis of organisms reported to cause infections and national survey of clinical practice. Bone Joint Res. 2015;4(11):181–9. Available from: https://online.boneandjoint.org.uk/doi/abs/10.1302/2046-3758.411.2000432. pmid:26585304
  17. 17. Farfan M, Bautista M, Bonilla G, Rojas J, Llinas A, Navas J. Worldwide adherence to ACCP guidelines for thromboprophylaxis after major orthopedic surgery: a systematic review of the literature and meta-analysis. Thromb Res. 2016;141:163–70. pmid:27058273
  18. 18. Hibbert PD, Hannaford NA, Hooper TD, Hindmarsh DM, Braithwaite J, Ramanathan SA, et al. Assessing the appropriateness of prevention and management of venous thromboembolism in Australia: a cross-sectional study. BMJ Open. 2016;6(3). pmid:26962033
  19. 19. Parvizi J, Shohat N, Gehrke T. Prevention of periprosthetic joint infection: new guidelines. Bone Joint J [Internet]. 2017; 99-B(4 Supple B):[3–10 pp.]. Available from: http://bjj.boneandjoint.org.uk/content/jbjsbr/99-B/4_Supple_B/3.full.pdf. pmid:28363888
  20. 20. Weeks WB, Schoellkopf WJ, Sorensen LS, Masica AL, Nesse RE, Weinstein JN. The high value healthcare collaborative: observational analyses of care episodes for hip and knee arthroplasty surgery. J Arthroplasty. 2016. pmid:27776908
  21. 21. Bautista M, Llinas A, Bonilla G, Mieth K, Diaz M, Rodriguez F, et al. Thromboprophylaxis after major orthopedic surgery: improving compliance with clinical practice guidelines. Thromb Res, 2016;137:113–8. pmid:26654717
  22. 22. Navarro RP, Barr JE, Faubus K, Sabharwal AD, Stern E, Unger K. Improving outcomes in patients at risk for venous thromboembolism following total knee and total hip replacement: implications for managed care. Am J Manag Care. 2011;17:S251–8. pmid:21819165
  23. 23. Leaper DJ, Tanner J, Kiernan M, Assadian O, Edmiston CE Jr. Surgical site infection: poor compliance with guidelines and care bundles. Int Wound J. 2015;12(3):357–62. pmid:24612792
  24. 24. Australian Government. My Hospitals 2012 [Available from: https://www.myhospitals.gov.au/.
  25. 25. Clinicaltrials.gov [Internet]. Clinial trial registration Bethesda (MD): National Library of Medicine (US); 2013 [30/06/2019]. Available from: https://www.clinicaltrials.gov/ct2/show/NCT01899443?term=Improving+Services+and+Outcomes+for+Joint+Replacement+Patients&draw=2&rank=1.
  26. 26. Bozic KJ, Maselli J, Pekow PS, Lindenauer PK, Vail TP, Auerbach AD. The influence of procedure volumes and standardization of care on quality and efficiency in total joint replacement surgery. J Bone Joint Surg Am. 2010;92(16):2643–52. pmid:21084575
  27. 27. Research Electronic Data Capture (REDCap) Software [Internet]. Vanderbilt University. 2017. Available from: https://projectredcap.org/.
  28. 28. SAS Institute Inc. SAS. 9.4 ed. Cary, NC, USA: SAS Institute Inc.; 2015.
  29. 29. R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2016.
  30. 30. Zhang Z, Song K, Yao Y, Jiang T, Pan P, Jiang Q. Incidence and risk factors for post-thrombotic syndrome in patients with deep vein thrombosis following total knee and hip arthroplasty. J Arthroplasty. 2019;34(3):560–3. pmid:30503320
  31. 31. Alamanda VK, Springer BD. The prevention of infection: 12 modifiable risk factors. Bone Joint J. 2019;101-B(1_Supple_A):3–9. pmid:30648488
  32. 32. Schwartz FH, Lange J. Factors that affect outcome following total joint arthroplasty: a review of the recent literature. Curr Rev Musculoskelet Med. 2017;10(3):346–55. pmid:28664450
  33. 33. Mehran R, Rao SV, Bhatt DL, Gibson CM, Caixeta A, Eikelboom J, et al. Standardized bleeding definitions for cardiovascular clinical trials. Circulation. 2011;123(23):2736–47. pmid:21670242
  34. 34. Chandrananth J, Rabinovich A, Karahalios A, Guy S, Tran P. Impact of adherence to local antibiotic prophylaxis guidelines on infection outcome after total hip or knee arthroplasty. J Hosp Infect. 2016;93(4):423–7. pmid:27101885
  35. 35. Wang Z, Foster Chen MW, Bhattacharyya T. Compliance with Surgical Care Improvement Project measures and hospital-associated infections following hip arthroplasty. J Bone Joint Surg Am. 2012;94(15):1359. pmid:22740029
  36. 36. Gouvêa M, Novaes CDO, Pereira DMT, Iglesias AC. Adherence to guidelines for surgical antibiotic prophylaxis: a review. Braz J Infect Dis [Internet]. 2015; 19(5):[517–24 pp.]. Available from: pmid:26254691
  37. 37. Munday GS, Deveaux P, Roberts H, Fry DE, Polk HC. Impact of implementation of the Surgical Care Improvement Project and future strategies for improving quality in surgery. Am J Surg. 2014;208(5):835–40. pmid:25113797
  38. 38. Cataife G, Weinberg DA, Wong HH, Kahn KL. The effect of Surgical Care Improvement Project (SCIP) compliance on surgical site infections (SSI). Medical care. 2014;52(2 Suppl 1):S66–73. pmid:24430269
  39. 39. Spyropoulos AC, Preblick R, Kwong WJ, Lingohr-Smith M, Lin J. Is adherence to the American College of Chest Physicians recommended anticoagulation treatment duration associated with different outcomes among patients with venous thromboembolism? Clin Appl Thromb Hemost. 2017;23(6):532–41. pmid:27899520
  40. 40. Altom LK, Deierhoi RJ, Grams J, Richman JS, Vick CC, Henderson WG, et al. Association between Surgical Care Improvement Program venous thromboembolism measures and postoperative events. Am J Surg. 2012;204(5):591–7. pmid:22906249
  41. 41. Grammatopoulos G, Bolduc M, Atkins B, Kendrick B, McLardy-Smith P, Murray D, et al. Functional outcome of debridement, antibiotics and implant retention in periprosthetic joint infection involving the hip: a case–control study. Bone Joint J. 2017;99(5):614–22. pmid:28455470
  42. 42. Rouleau DM. Designing clinical studies in orthopedic traumatology. Orthop Traumatol-Sur. 2018;104(1, Supplement):S1–S7. pmid:29155312
  43. 43. Runciman WB, Hunt TD, Hannaford NA, Hibbert PD, Westbrook JI, Coiera EW, et al. CareTrack: assessing the appropriateness of health care delivery in Australia. Med J Aust. 2012;197(2):100. pmid:22794056
  44. 44. Australian Commission on Safety and Quality in Health Care. Antimicrobial use in Australian hospitals: 2014 annual report of the National Antimicrobial Utilisation Surveillance Program. Adelaide: Commonwealth of Australia; 2015.
  45. 45. Hooper TD, Hibbert PD, Hannaford NA, Jackson N, Hindmarsh DM, Gordon DL, et al. Surgical site infection- A population-based study in Australian adults measuring the compliance with and correct timing of appropriate antibiotic prophylaxis. Anaesth Intensive Care. 2015;43(4):461–7. pmid:26099757
  46. 46. Waddell J, Johnson K, Hein W, Raabe J, FitzGerald G, Turibio F. Orthopaedic practice in total hip arthroplasty and total knee arthroplasty: results from the Global Orthopaedic Registry (GLORY). Am J Orthop. 2010;39(9 Suppl):5–13. pmid:21290026
  47. 47. Campbell KA, Stein S, Looze C, Bosco JA. Antibiotic stewardship in orthopaedic surgery: principles and practice. J Am Acad Orthop Surg. 2014;22(12):772–81. pmid:25425612
  48. 48. Monnier AA, Eisenstein BI, Hulscher ME, Gyssens IC, Adriaenssens N, Huttner B, et al. Towards a global definition of responsible antibiotic use: results of an international multidisciplinary consensus procedure. J Antimicrob Chemother. 2018;73(suppl_6):vi3–vi16. pmid:29878216
  49. 49. Torrejon Torres R, Saunders R, Ho KM. A comparative cost-effectiveness analysis of mechanical and pharmacological VTE prophylaxis after lower limb arthroplasty in Australia. J Orthop Surg Res. 2019;14(1). pmid:30940168
  50. 50. Budhiparama NC, Abdel MP, Ifran NN, Parratte S. Venous thromboembolism (VTE) prophylaxis for hip and knee arthroplasty: Changing trends. Curr Rev Musculoskelet Med. 2014;7(2):108–16. pmid:24706152
  51. 51. Branch-Elliman W, O’Brien W, Strymish J, Itani K, Wyatt C, Gupta K. Association of duration and type of surgical prophylaxis with antimicrobial-associated adverse events. JAMA Surg. 2019;154(7):590. pmid:31017647
  52. 52. Tan TL, Shohat N, Rondon AJ, Foltz C, Goswami K, Ryan SP, et al. Perioperative antibiotic prophylaxis in total joint arthroplasty: A single dose is as effective as multiple doses. J Bone Joint Surg Am. 2019;101(5):429–37. pmid:30845037
  53. 53. Morris AJ, Roberts SA, Grae N, Frampton CM. Surgical site infection rate is higher following hip and knee arthroplasty when cefazolin is underdosed. Am J Health Syst Pharm. 2020; 77(6):434–440. pmid:31950139
  54. 54. Koenig KM, Bozic KJ. Orthopaedic Healthcare Worldwide: The Role of Standardization in Improving Outcomes. Clin Orthop Relat Res. 2015;473(11):3360–3. pmid:26250138
  55. 55. Therapeutic Guidelines Limited. eTG Complete: Therapeutic guidelines antibiotic: Therapeutic Guidelines Limited; 2020 [cited 2020 15/03/2020]. Available from: https://tgldcdp.tg.org.au/etgcomplete.
  56. 56. Stulberg JJ, Delaney CP, Neuhauser DV, Aron DC, Fu P, Koroukian SM. Adherence to surgical care improvement project measures and the association with postoperative infections. JAMA. 2010;303(24):2479–85. pmid:20571014
  57. 57. Bouras G, Burns EM, Howell A-M, Bottle A, Athanasiou T, Darzi A. Risk of post-discharge venous thromboembolism and associated mortality in general surgery: a population-based cohort study using linked hospital and primary care data in England. PloS One. 2015;10(12):e0145759–e. pmid:26713434
  58. 58. Yeomans D, Todd FS, Whitehouse MR, Matharu GS. Can we use routinely collected healthcare data for a nationwide trial on venous thromboembolism prophylaxis following primary joint replacement? A feasibility study. J Arthroplasty. 2020; 35(8), 1983–1985. pmid:32340827
  59. 59. Bratzler DW, Hunt DR. The surgical infection prevention and surgical care improvement projects: national initiatives to improve outcomes for patients having surgery. Clin Infect Dis. 2006;43(3):322–30. pmid:16804848
  60. 60. Bateman AG, Sheaff R, Child S, Boiko O, Ukoumunne OC, Nokes T, et al. The implementation of NICE guidance on venous thromboembolism risk assessment and prophylaxis: a before-after observational study to assess the impact on patient safety across four hospitals in England. BMC Health Serv Res. 2013;13(1):203. pmid:23734903
  61. 61. Schwartz AJ, Bozic KJ, Etzioni DA. Value-based total hip and knee arthroplasty: a framework for understanding the literature. J Am Acad Orthop Surg. 2019;27(1):1–11. pmid:30260912