Robotic-Assisted Total Knee Arthroplasty: An Assessment of Content, Quality, and Readability of Available Internet Resources

Evaluating the Readability, Credibility, and Quality of Spanish-Language Online Educational Resources for Knee Arthroplasty: Implications for Patient Education and Health Disparities

INTRODUCTION

Spanish-speaking individuals may experience language-based disparities related to elective orthopaedic procedures. Because patients often seek online health information, we assessed the readability, credibility, and quality of Spanish-language educational websites for knee arthroplasty.

METHODS

We queried "Google," "Yahoo," and "Bing" using the term "reemplazo de rodilla" (knee replacement in Spanish) and extracted the top 50 websites per search engine. Websites were categorized by information source (physician/community hospital, university/academic, other) and presence of HONcode certification. Information was assessed for readability (Fernández-Huerta formula), credibility (Journal of the American Medical Association benchmark criteria), and quality (Brief DISCERN tool); scores were compared between the categories.

RESULTS

A total of 77 unique websites were included (40.3% physician/community hospital, 35.1% university/academic). The median readability score was 59.4 (10th to 12th-grade reading level); no websites achieved the recommended level of ≤6th grade. The median Journal of the American Medical Association benchmark score was 2 (interquartile range 1 to 3), with only 7.8% of websites meeting all criteria. The median Brief DISCERN score was 16 (interquartile range 12 to 20), with 50.7% meeting the threshold for good quality. University/academic websites had better readability ( P = 0.02) and credibility ( P = 0.002) but similar quality ( P > 0.05) compared with physician/community hospital websites. In addition, HONcode-certified websites had better quality scores ( P = 0.045) but similar readability and credibility ( P > 0.05) compared with noncertified websites.

DISCUSSION

We identified limitations in readability, credibility, and quality of Spanish-language online educational resources for knee arthroplasty. Healthcare providers should be aware of these patient education barriers when counseling patients, and efforts should be made to support the online information needs of Spanish-speaking orthopaedic patients and mitigate language-based disparities.

Adverse events related to robotic-assisted knee arthroplasty: a cross-sectional study from the MAUDE database

BACKGROUND

Robotic-assisted surgical technique has been clinically available for decades, yet real-world adverse events (AEs) and complications associated with primary knee arthroplasty remain unclear.

METHODS

In March 2023, we searched the FDA website and extracted AEs related to robotic assisted knee arthroplasty (RAKA) from the MAUDE database over the past 10 years. The "Brand Name" function queried major robotic platforms, including active and semi-active systems. The overall incidence of AEs was estimated based on annual surgical volume from the current American Joint Replacement Registry (AJRR). Two authors independently collected data on event date, event type, device problem, and patient problem.

RESULTS

Of 839 eligible reports, device malfunction comprised mechanical failure (343/839, 40.88%) and software failure (261/839, 31.11%). For surgical complications, inappropriate bone resection (115/839, 13.71%) was most frequent, followed by bone/soft tissue damage (83/839, 9.89%). Notably, over-resection exceeding 2 mm (88/839, 10.49%), joint infection (25/839, 2.98%), and aseptic loosening (1/839, 0.12%) were major complications. Only two track pins related AEs were found. Moreover, the distribution of these AEs differed substantially between robot manufacturers. According to the AEs volume and AJRR data, the overall incidences of AEs related to RAKAs were calculated with 0.83% (839/100,892) between November 2010 and March 2023.

CONCLUSION

Our analysis shows that while reported AEs might be increasing for RAKAs, the overall rate remains relatively low. Reassuringly, device malfunction was the most commonly AEs observed, with a minor impact on postoperative outcomes. Furthermore, our data provide a benchmark for patients, surgeons, and manufacturers to evaluate RAKA performance, though continued improvement in reducing serious AEs incidence is warranted.

Readability and Quality of Online Patient Education Materials Concerning Posterior Cruciate Ligament Reconstruction

Objective This study aimed to assess the quality of online patient educational materials regarding posterior cruciate ligament (PCL) reconstruction. Methods We performed a search of the top-50 results on Google® (terms: "posterior cruciate ligament reconstruction," "PCL reconstruction," "posterior cruciate ligament surgery," and "PCL surgery") and subsequently filtered to rule out duplicated/inaccessible websites or those containing only videos (67 websites included). Readability was assessed using six formulas: Flesch-Kincaid Reading Ease (FRE), Flesch-Kincaid Grade Level (FKG), Gunning Fog Score (GF), Simple Measure of Gobbledygook (SMOG) Index, Coleman-Liau Index (CLI), Automated Readability Index (ARI); quality was assessed using the JAMA benchmark criteria and recording the presence of the HONcode seal. Results The mean FRE was 49.3 (SD 11.2) and the mean FKG level was 8.09. These results were confirmed by the other readability formulae (average: GF 8.9; SMOG Index 7.3; CLI 14.7; ARI 6.5). A HONcode seal was available for 7.4 % of websites. The average JAMA score was 1.3. Conclusion The reading level of online patient materials concerning PCL reconstruction is too high for the average reader, requiring high comprehension skills. Practice implications Online medical information has been shown to influence patient healthcare decision processes. Patient-oriented educational materials should be clear and easy to understand.

The Impact of Robotic-Assisted Total Knee Arthroplasty on Resident Training

BACKGROUND

As robotic-assisted total knee replacement (rTKA) continues to gain popularity, the impact of this technology on resident education remains unknown. The purpose of this study was to describe trainee experience and perceptions of rTKA and its effect on surgical training.

METHODS

Two hundred and twenty two senior orthopaedic residents attending a national board review course completed a 17-question survey regarding their experience and perceptions regarding rTKA. Mean and standard deviations were calculated for Likert scale questions, and bivariate analyses were utilized to compare answer groups.

RESULTS

Seventy percent of respondents reported exposure to rTKA during their training. Of those with robotic exposure, 20% reported that greater than half of their TKA experience involved robotics. Only 29% percent agreed that robotics improved outcomes, whereas 21% disagreed and the remainder were unsure. Over half of respondents agreed that robotics are used primarily for marketing purposes. Of those who trained with rTKA, 45% percent believed that robotics improved their understanding of the surgical procedure; however, 25% felt robotics negatively compromised their training with traditional instrumentation. Higher robotic case exposure (P = .001) and attending an industry-sponsored course (P = .02) was associated with the belief that robotics improved outcomes. Robotic case volume and percentage was associated with the belief that robotics improved understanding of the surgical procedure, however, it also was associated with reduced comfort performing traditional knee arthroplasty (P = .001).

CONCLUSION

Current resident training experience varies greatly within the United States with regards to rTKA. While exposure to rTKA may be beneficial for a well-rounded surgical education, over-exposure likely results in decreased comfort with traditional instrumentation.

Readability of Online Patient Education Materials for Total Joint Arthroplasty: A Systematic Review

BACKGROUND

As the demand for total joint arthroplasty continues to grow, patients increasingly turn to internet sources for accessible orthopaedic health information. We sought to evaluate the readability of online hip and knee arthroplasty patient education materials (PEMs).

METHODS

Our systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-P guidelines (PROSPERO registration of the study protocol: CRD42022358872, September 19th, 2022). PubMed, EBSCOhost, Medline, and Google Scholar electronic databases were utilized to identify all studies evaluating online PEMs related to total joint arthroplasty between January 1, 2000, and August 1, 2022. The quality of studies was assessed with the Joanna Briggs Institute scale.

RESULTS

Our initial search yielded 360 publications which were then screened for appropriate studies aligned with our review's purpose. A total of eleven cross-sectional studies were included. The total sample size across the studies consisted of 662 PEMs. Five studies evaluated professional or academic orthopaedic websites, six evaluated PEMs through web engines, and three evaluated apps or commercial websites. Most included studies found PEMs to be well above the recommended 6th-grade reading level.

CONCLUSION

Arthroplasty PEMs produced by orthopaaedic websites, web searches, and apps have readability scores well above the recommended levels. Given the importance of health literacy on patient outcomes and satisfaction, work needs to be done to improve the readability of these materials.

Medication-related osteonecrosis of the jaw: A cross-sectional survey assessing the quality of information on the Internet

OBJECTIVE

The objective of this study was to evaluate the quality of information and readability of online content regarding medication-related osteonecrosis of the jaw (MRONJ).

STUDY DESIGN

Three search engines were used to identify websites containing information regarding MRONJ. The content was assessed with 5 quality of information and readability tools. Statistical analyses were performed via GraphPad Software (GraphPad Software Inc., La Jolla, Calif, United States).

RESULTS

The Health on the Net (HONcode) seal was present in 2 of the 21 websites that satisfied inclusion/exclusion criteria. The mean JAMA (Journal of the American Medical Association) benchmark satisfied per website was 1.619 out of 4 (standard deviation [SD] = 1.2; 95% confidence interval [CI], 1.07-2.17). The mean overall Quality Evaluation Scoring Tool score was 15.29 out of a maximum 28 (SD = 6.174; 95% CI, 12.48-18.1). The Quality Evaluation Scoring Tool scores of those websites that satisfied ≥3 JAMA criteria were significantly higher than those that did not (P = .01; 95% CI, -11.41 to -1.79). The readability levels of all content ranged from fairly difficult to very difficult.

CONCLUSIONS

The information related to MRONJ on the Internet is unreliable and too difficult for the general public to read. Authors of online MRONJ information should consider use of quality of information and readability tools to ensure that reliable information is understood by those with poor health literacy skills.

Deep learning approach for guiding three-dimensional computed tomography reconstruction of lower limbs for robotically-assisted total knee arthroplasty

BACKGROUND

Robotic-assisted total knee arthroplasty (TKA) was performed to promote the accuracy of bone resection and mechanical alignment. Among these TKA system procedures, 3D reconstruction of CT data of lower limbs consumes significant manpower. Artificial intelligence (AI) algorithms applying deep learning has been proved efficient in automated identification and visual processing.

METHODS

CT data of a total of 200 lower limbs scanning were used for AI-based 3D model construction and CT data of 20 lower limbs scanning were utilised for verification.

RESULTS

We showed that the performance of an AI-guided 3D reconstruction of CT data of lower limbs for robotic-assisted TKA was similar to that of the operator-based approach. The time of 3D lower limb model construction using AI was 4.7 min. AI-based 3D models can be used for surgical planning.

CONCLUSION

AI was used for the first time to guide the 3D reconstruction of CT data of lower limbs for facilitating robotic-assisted TKA. Incorporation of AI in 3D model reconstruction before TKA might reduce the workload of radiologists.