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1.
Arthrosc Sports Med Rehabil ; 5(5): 100805, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37753188

ABSTRACT

Purpose: To leverage Google's search algorithms to summarize the most commonly asked questions regarding anterior cruciate ligament (ACL) injuries and surgery. Methods: Six terms related to ACL tear and/or surgery were searched on a clean-installed Google Chrome browser. The list of questions and their associated websites on the Google search page were extracted after multiple search iterations performed in January of 2022. Questions and websites were categorized according to Rothwell's criteria. The Journal of the American Medical Association (JAMA) Benchmark criteria were used to grade website quality and transparency. Descriptive statistics were provided. χ2 and Student t-tests identified for categorical differences and differences in JAMA score, respectively (significance set at P < .05). Results: A total of 273 unique questions associated with 204 websites were identified. The most frequently asked questions involved Indications/Management (20.2%), Specific Activities (15.8%), and Pain (10.3%). The most common websites were Medical Practice (27.9%), Academic (23.5%), and Commercial (19.5%). In Academic websites, questions regarding Specific Activities were seldom included (4.7%) whereas questions regarding Pain were frequently addressed (39.3%, P = .027). Although average JAMA score was relatively high for Academic websites, the average combined score for medical and governmental websites was lower (P < .001) than nonmedical websites. Conclusions: The most searched questions on Google regarding ACL tears or surgery related to indications for surgery, pain, and activities postoperatively. Health information resources stemmed from Medical Practice (27.9%) followed by Academic (23.5%) and Commercial (19.5%) websites. Medical websites had lower JAMA quality scores compared with nonmedical websites. Clinical Relevance: These findings presented may assist physicians in addressing the most frequently searched questions while also guiding their patients to greater-quality resources regarding ACL injuries and surgery.

2.
Orthop J Sports Med ; 11(1): 23259671221139350, 2023 Jan.
Article in English | MEDLINE | ID: mdl-36683912

ABSTRACT

Background: The term "social determinants of health" (SDOH) refers to social and economic factors that influence a patient's health status. The effect of SDOH on the Patient-Reported Outcomes Measurement Information System (PROMIS) computer adaptive test (CAT) scores and postoperative resource utilization in patients with anterior cruciate ligament reconstruction (ACLR) have yet to be thoroughly studied. Purpose: To investigate the impact SDOH have on PROMIS CAT outcomes and postoperative resource utilization in patients with ACLR. Study Design: Cohort study; Level of evidence, 3. Methods: The electronic medical record was used to identify the SDOH for patients who underwent ACLR by 1 of 3 sports medicine fellowship-trained orthopaedic surgeons between July 2017 and April 2020. PROMIS CAT measures of Physical Function (PROMIS-PF), Pain Interference (PROMIS-PI), and Depression (PROMIS-D) were completed at the preoperative, 6-month postoperative, and 12-month postoperative time points. Postoperative health care utilization was recorded as well. Independent 2-group t tests and Wilcoxon rank-sum tests were used to analyze mean differences between patient groups based on SDOH. Results: Two-hundred and thirty patients who underwent ACLR were included (mean age, 27 years; 59% male). Compared with White patients, Black patients were represented more frequently in the lowest median household income (MHI) quartile (63% vs 23%, respectively; P < .001). White patients were represented more frequently in the highest area deprivation index (ADI) quartile when compared with Black patients (67% vs 12%, respectively; P = .006). Significantly worse PROMIS-PF, PROMIS-PI, and PROMIS-D scores at all 3 time points were found among patients who were Black, female, smokers, and in the lower MHI quartiles, with higher ADI and public health care coverage. In terms of resource utilization, Black patients attended significantly fewer postoperative physical therapy visits when compared with their respective counterparts. Those in the lower MHI quartiles attended significantly fewer postoperative imaging encounters, and female patients attended significantly more postoperative virtual encounters than male patients. Conclusion: Specific SDOH variables, particularly those that reflect racial and socioeconomic disparities, were associated with differences in postoperative health care utilization and ACLR outcomes as measured by PROMIS CAT domains.

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