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STUDY DESIGN: Observational Study. OBJECTIVES: This study aimed to investigate the most searched types of questions and online resources implicated in the operative and nonoperative management of scoliosis. METHODS: Six terms related to operative and nonoperative scoliosis treatment were searched on Google's People Also Ask section on October 12, 2023. The Rothwell classification was used to sort questions into fact, policy, or value categories, and associated websites were classified by type. Fischer's exact tests compared question type and websites encountered between operative and nonoperative questions. Statistical significance was set at the .05 level. RESULTS: The most common questions concerning operative and nonoperative management were fact (53.4%) and value (35.5%) questions, respectively. The most common subcategory pertaining to operative and nonoperative questions were specific activities/restrictions (21.7%) and evaluation of treatment (33.3%), respectively. Questions on indications/management (13.2% vs 31.2%, P < .001) and evaluation of treatment (10.1% vs 33.3%, P < .001) were associated with nonoperative scoliosis management. Medical practice websites were the most common website to which questions concerning operative (31.9%) and nonoperative (51.4%) management were directed to. Operative questions were more likely to be directed to academic websites (21.7% vs 10.0%, P = .037) and less likely to be directed to medical practice websites (31.9% vs 51.4%, P = .007) than nonoperative questions. CONCLUSIONS: During scoliosis consultations, spine surgeons should emphasize the postoperative recovery process and efficacy of conservative treatment modalities for the operative and nonoperative management of scoliosis, respectively. Future research should assess the impact of website encounters on patients' decision-making.

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Objectives: Thyroidectomy is among the most commonly performed head and neck surgeries, however, limited existing information is available on topics of interest and concern to patients. Study Design: Observational. Setting: Online. Methods: A search engine optimization tool was utilized to extract metadata on Google-suggested questions that "People Also Ask" (PAA) pertaining to "thyroidectomy" and "thyroid surgery." These questions were categorized by Rothwell criteria and topics of interest. The Journal of the American Medical Association (JAMA) benchmark criteria enabled quality assessment. Results: A total of 250 PAA questions were analyzed. Future-oriented PAA questions describing what to expect during and after the surgery on topics such as postoperative management, risks or complications of surgery, and technical details were significantly less popular among the "thyroid surgery" group (P < 0.001, P = 0.005, and P < 0.001, respectively). PAA questions about scarring and hypocalcemia were nearly threefold more popular than those related to pain (335 and 319 vs. 113 combined search engine response page count, respectively). The overall JAMA quality score remained low (2.50 ± 1.07), despite an increasing number of patients searching for "thyroidectomy" (r(77) = 0.30, P = 0.007). Conclusions: Patients searching for the nonspecific term "thyroid surgery" received a curated collection of PAA questions that were significantly less likely to educate them on what to expect during and after surgery, as compared to patients with higher health literacy who search with the term "thyroidectomy." This suggests that the content of PAA questions differs based on the presumed health literacy of the internet user.

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Background: Google's People Also Ask feature uses various machine learning algorithms to distill the most frequently asked questions and link users to potential answers. The aim of this study is to investigate the most frequently asked questions related to commonly performed spine surgeries. Methods: This is an observational study utilizing Google's People Also Ask feature. A variety of search terms were entered into Google for anterior cervical discectomy and fusion (ACDF), discectomy, and lumbar fusion. Frequently asked questions and linked websites were extracted. Questions were categorized by topic based on Rothwell's Classification system, and websites were categorized by type. Pearson's chi-squared and Student t tests were performed as appropriate. Results: A total of 576 unique questions (181 ACDF, 148 discectomy, 309 lumbar fusion) were extracted with 372 unique websites and 177 domains. The most common website types were medical practice (41%), social media (22%), and academic (15%). The most popular question topics were specific activities & restrictions (22%), technical details (23%), and evaluation of surgery (17%). Questions related to technical details were more common in discectomy vs lumbar fusion (33% vs 24%, p=.03) and lumbar fusion vs ACDF (24% vs 14%, p=.01). Questions related to specific activities & restrictions were more common in ACDF vs discectomy (17% vs 8%, p=.02) and ACDF vs lumbar fusion (28% vs 19%, p=.016). Questions related to risks & complications were more common in ACDF vs lumbar fusion (10% vs 4%, p=.01). Conclusions: The most frequently asked questions on Google regarding spine surgery are related to technical details and activity restrictions. Surgeons may emphasize these domains in consultations and direct patients to reputable sources of further information. Much of the linked information provided originates from nonacademic and nongovernment sources (72%), with 22% from social media websites.

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OBJECTIVE: As the incidence of human papillomavirus related oropharyngeal cancer continues to rise, it is increasingly important for public understanding to keep pace. This study aimed to identify areas of patient interest and concern regarding human papillomavirus and oropharyngeal cancer. METHOD: This study was a retrospective survey of search queries containing the keywords 'HPV cancer' between September 2015 and March 2021. RESULTS: There was 3.5-fold more interest in human papillomavirus related oropharyngeal cancer (15 800 searches per month) compared with human papillomavirus related cervical cancer (4500 searches per month). Among searches referencing cancer appearance, 96.8 per cent pertained to the head and neck region (3050 searches per month). Among vaccination searches, 16 of 47 (34.0 per cent; 600 searches per month) referenced human papillomavirus vaccines as being a cause of cancer rather than preventing cancer. CONCLUSION: The vast majority of online searches into human papillomavirus cancer pertain to the oropharynx. There are relatively few search queries on the topic of vaccination preventing human papillomavirus associated oropharyngeal cancer, which highlights the continued importance of patient education and awareness campaigns.

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Background: Osseointegration (OI) limb has been performed for over 30 years and is an example of an advance in technology and surgical technique which has led to improvements in patient mobility and quality of life. An increasing number of patients seek information about osseointegration. The aim of this study was to categorise the most frequently asked questions by patients using the Google search engine and the most frequently accessed websites with the highest return on answers. The secondary aims of this study were to assess the quality of the information provided on those websites and to stratify, by category, which websites provide the best quality information. Materials and methods: Ten permutations and conjugations of the word 'osseointegration' were entered into Google. The first fifty 'People also ask' and associated websites by Google's machine learning and natural language processing engine were collected for each search term. The Rothwell classification system of questions by topic (Fact, Value, Policy) and websites by category was used (Commercial, Academic, Medical Practice, Single Surgeon Personal, Government, Social Media). Website quality was assessed using the Journal of the American Medical Association (JAMA) benchmark criteria (Likert-style rating 0-4). Pearson's Chi-squared and Student's t-tests were performed for statistical analysis as appropriate (significance, p < 0.05). Results: The 10 search terms generated 454 questions and referenced 408 websites. Of the 454 questions generated, the most common question categories were fact (70.8%), value (19.2%), and policy (10%). The most common website type was social media (37.4%). The most common question types were technical details (30.4%), specific activity (20.6%), and cost (14.1%). Only 1.6% of questions related to risks and complications. Generally, website quality was poor with 64.1% having a JAMA score of 0 or 1. Websites that were categorised as 'Government' had the highest overall JAMA scores: 71.4% had a score of 4. Conclusion: Based on Google search engine's results, the most commonly asked questions about osteointegration related to technical details, specific activities and cost; only 1.6% related to risks and complications. Interestingly, social media websites represented the highest volume of search result referrals. Overall, the quality of websites was poor with the most factual information coming from governmental websites. How to cite this article: Murphy EP, Sheridan GA, Page BJ, et al. Modern Internet Search Analytics and Osseointegration: What Are Patients Asking and Reading Online? Strategies Trauma Limb Reconstr 2023;18(3):163-168.

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BACKGROUND: The emergency authorization of COVID-19 vaccines has offered the first means of long-term protection against COVID-19-related illness since the pandemic began. It is important for health care professionals to understand commonly held COVID-19 vaccine concerns and to be equipped with quality information that can be used to assist in medical decision-making. OBJECTIVE: Using Google's RankBrain machine learning algorithm, we sought to characterize the content of the most frequently asked questions (FAQs) about COVID-19 vaccines evidenced by internet searches. Secondarily, we sought to examine the information transparency and quality of sources used by Google to answer FAQs on COVID-19 vaccines. METHODS: We searched COVID-19 vaccine terms on Google and used the "People also ask" box to obtain FAQs generated by Google's machine learning algorithms. FAQs are assigned an "answer" source by Google. We extracted FAQs and answer sources related to COVID-19 vaccines. We used the Rothwell Classification of Questions to categorize questions on the basis of content. We classified answer sources as either academic, commercial, government, media outlet, or medical practice. We used the Journal of the American Medical Association's (JAMA's) benchmark criteria to assess information transparency and Brief DISCERN to assess information quality for answer sources. FAQ and answer source type frequencies were calculated. Chi-square tests were used to determine associations between information transparency by source type. One-way analysis of variance was used to assess differences in mean Brief DISCERN scores by source type. RESULTS: Our search yielded 28 unique FAQs about COVID-19 vaccines. Most COVID-19 vaccine-related FAQs were seeking factual information (22/28, 78.6%), specifically about safety and efficacy (9/22, 40.9%). The most common source type was media outlets (12/28, 42.9%), followed by government sources (11/28, 39.3%). Nineteen sources met 3 or more JAMA benchmark criteria with government sources as the majority (10/19, 52.6%). JAMA benchmark criteria performance did not significantly differ among source types (χ 2 4=7.40; P=.12). One-way analysis of variance revealed a significant difference in mean Brief DISCERN scores by source type (F 4,23=10.27; P<.001). CONCLUSIONS: The most frequently asked COVID-19 vaccine-related questions pertained to vaccine safety and efficacy. We found that government sources provided the most transparent and highest-quality web-based COVID-19 vaccine-related information. Recognizing common questions and concerns about COVID-19 vaccines may assist in improving vaccination efforts.

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Introduction: The latest decade, an emerging issue has been the abuse potential of the gabapentinoids pregabalin and gabapentin. The aim of our study was to assess this safety signal combining two different methods of surveillance: search analytics big data and the FDA spontaneous reporting system database. Methods: Analysis of big data and the FAERS was used to detect pregabalin's and gabapentin's abuse potential in comparison with two controls, clonazepam and levetiracetam, and further, the correlation between these domains was investigated. Data from the United States between 2007 and 2020Q2 were analyzed. Results: The FAERS analysis revealed the following pattern of signals: clonazepam > pregabalin ≥ gabapentin > levetiracetam, for both the primary term "drug abuse and dependence" and the secondary terms (withdrawal, tolerance, overdose). The Google domain pattern was slightly different: clonazepam ≥ gabapentin ≥ pregabalin≥ levetiracetam. A monotonic correlation was found between FAERS and Google searches for gabapentin (r = 0.558; p < 0.001), pregabalin (r = 0.587; p < 0.001), and clonazepam (r = 0.295; p = 0.030). Conclusion: Our results revealed that there is preliminary evidence of a safety signal for the abuse potential of pregabalin and gabapentin. Analysis of the FAERS database, supplemented by big data search analytics, suggests that there is potential of using these methods as a supplementary tool to detect drug abuse-related safety signals in pharmacovigilance.

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Background: Colorectal cancer (CRC) has the third highest cancer mortality rate in the United States. Enhanced screening has reduced mortality rates; however, certain populations remain at high risk, notably African Americans. Raising awareness among at-risk populations may lead to improved CRC outcomes. The influence of celebrity death and illness is an important driver of public awareness. As such, the death of actor Chadwick Boseman from CRC may have influenced CRC awareness. Objective: We sought to assess the influence of Chadwick Boseman's death on public interest in CRC in the United States, evidenced by internet searches, website traffic, and donations to prominent cancer organizations. Methods: We used an auto-regressive integrated moving average model to forecast Google searching trends for the topic "Colorectal cancer" in the United States. We performed bivariate and multivariable regressions on state-wise CRC incidence rate and percent Black population. We obtained data from the American Cancer Society (ACS) and the Colon Cancer Foundation (CCF) for information regarding changes in website traffic and donations. Results: The expected national relative search volume (RSV) for colorectal cancer was 2.71 (95% CI 1.76-3.66), reflecting a 3590% (95% CI 2632%-5582%) increase compared to the expected values. With multivariable regression, the statewise RSV increased for each percent Black population by 1.09 (SE 0.18, P<.001), with 42% of the variance explained (P<.001). The American Cancer Society reported a 58,000% increase in CRC-related website traffic the weekend following Chadwick Boseman's death compared to the weekend before. The Colon Cancer Foundation reported a 331% increase in donations and a 144% increase in revenue in the month following Boseman's death compared to the month prior. Conclusions: Our results suggest that Chadwick Boseman's death was associated with substantial increases in awareness of CRC. Increased awareness of CRC may support earlier detection and better prognoses.

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BACKGROUND: Patients considering total joint arthroplasty often search for information online regarding surgery; however, little is known about the specific topics that patients search for and the nature of the information provided. Google compiles frequently asked questions associated with a search term using machine learning and natural language processing. Links to individual websites are provided to answer each question. Analysis of this data may help improve understanding of patient concerns and inform more effective counseling. METHODS: Search terms were entered into Google for total hip and total knee arthroplasty. Frequently asked questions and associated websites were extracted to a database using customized software. Questions were categorized by topic; websites were categorized by type. JAMA Benchmark Criteria were used to assess website quality. Pearson's chi-squared and Student's t-tests were performed as appropriate. RESULTS: A total of 620 questions (305 total knee arthroplasties, 315 total hip arthroplasties) were extracted with 602 associated websites. The most popular question topics were Specific Activities (23.5%), Indications/Management (15.6%), and Restrictions (13.4%). Questions related to Pain were more common in the TKA group (23.0% vs 2.5%, P < .001) compared to THA. The most common website types were Academic (31.1%), Commercial (29.2%), and Social Media (17.1%). JAMA scores (0-4) were highest for Government websites (mean 3.92, P = .005). CONCLUSION: The most frequently asked questions on Google related to total joint arthroplasty are related to arthritis management, rehabilitation, and ability to perform specific tasks. A sizable proportion of health information provided originate from non-academic, non-government sources (64.4%), with 17.1% from social media websites.

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This study sought to detect a potential safety signal of mirtazapine abuse by combining two different sources of surveillance, specifically Google Analytics (Google, Inc., Mountain View, CA, USA) and the FDA Adverse Event Reporting System database. Data from the first quarter of 2004 to the second quarter of 2017 were collected and analysed. The search interest over time, the frequencies of abuse-related terms in the search analytics domain, and the odds ratio of abuse events in FDA Adverse Event Reporting System were determined. Correlations between the two aforementioned domains using quarterly data from the timeline series were also assessed. Our results suggest a positive correlation between abuse-related searches in the Google domain and abuse-related events in FDA Adverse Event Reporting System database. These results indicate that these methods can be used in combination with each other as a pharmacovigilance supplementary tool to detect drug safety signals.

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