Background: Telemedicine platforms have been developed to support the convenient delivery of health care services to their patients while maintaining appropriate quality of care. However, it is unclear whether they can be utilized effectively in patients with pediatric spinal deformity (PSD). Therefore, this study aimed to evaluate the feasibility and patient satisfaction associated with virtual visit (VV) utilization in PSD patients in comparison to general pediatric orthopaedic indications. Methods: Of the 482 VVs offered to pediatric orthopaedic patients at a large academic health care system between January 1, 2017, and December 31, 2018, a total of 189 VVs conducted by board-certified orthopaedic surgeons were included in the final analysis. Patient satisfaction scores were collected at the end of each VV by patient and parent rankings of the surgeon and the telemedicine service. Data on patients, visits, and connectivity sessions characteristics were collected and statistically compared between PSD visits (n=33) versus those conducted for general pediatric orthopaedic indications (n=156). Results: Although PSD patients were older (15±3.7 vs. 12±4.7 y; P<0.01), mostly female (76% vs. 47%, P=0.003), and had longer VVs (8±4.6 vs. 5±3.6 min; P=0.003) versus their general pediatric orthopaedic counterparts, they demonstrated similarly high satisfaction scores for surgeon performance (5±0 vs. 4.8±0.1 points; P=0.08) and overall satisfaction (3±2.4 vs. 3.5±2.1; P=0.23). Approximately 80% of all VVs were conducted over mobile devices. Wait time was substantially less for PSD VVs relative to subsequent office visits (13±10 vs. 41±30 min; P<0.001). Conclusions: Our analysis found that telemedicine VVs provided a convenient alternative to traditional in-office visits for PSD patients. Specifically, we found that PSD patients received faster care with comparable satisfaction. The findings of our present analysis should encourage health care systems to continually evaluate and implement telehealth platforms to improve both the accessibility and appropriate quality of care. Level of Evidence: Level IV.
Background: Outpatient joint arthroplasty is a potential modality for increased case throughput and is rising in demand. However, we are aware of no study that has compared outcomes between risk-matched outpatient and inpatient procedures within the last 7 years. The aims of this study were to compare matched patient cohorts who underwent outpatient or inpatient joint arthroplasty in terms of 30-day adverse events and readmission rates. Methods: From the National Surgical Quality Improvement Program database, we identified patients who underwent primary total hip arthroplasty (THA), primary total knee arthroplasty (TKA), and primary unicompartmental knee arthroplasty (UKA) from 2009 to 2018. Using 10 perioperative variables, patients who underwent an outpatient procedure were 1:4 propensity score-matched with patients who underwent an inpatient procedure. The rates of 30-day adverse events and readmission were compared using the McNemar test. The risk factors for adverse events and readmissions were identified using multivariate regression. Results: Of 574,375 patients identified, 21,506 (3.74%) underwent an outpatient procedure. After propensity score matching, an outpatient joint arthroplasty was associated with a lower rate of adverse events (3.18% compared with 7.45%; p < 0.001). When assessed individually, outpatient TKA (3.15% compared with 8.11%; p < 0.001), THA (4.94% compared with 10.05%; p < 0.001), and UKA (1.78% compared with 3.39%; p < 0.001) were all associated with fewer adverse events overall and there was no difference in the rate of 30-day readmission, when compared with inpatient analogs. Outpatient joint arthroplasty was an independent factor for lower adverse events (odds ratio [OR], 0.407 [95% confidence interval (CI), 0.369 to 0.449]; p < 0.001), with no increase in the risk of readmission (OR, 1.004 [95% CI, 0.878 to 1.148]; p = 0.951). Conclusions: Contemporary outpatient joint arthroplasty demonstrated lower rates of adverse events with no increased rate of 30-day readmission when compared with risk-matched inpatient counterparts. Although multiple factors should guide the decision for the site of care, outpatient arthroplasty may be a safe alternative to inpatient arthroplasty. Level of Evidence: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
Background: Revision total knee arthroplasty for infection is challenging. Septic revisions, whether 1-stage or 2-stage, may require more time and effort than comparable aseptic revisions. However, the burden of infection may not be reflected by the relative value units (RVUs) assigned to septic revision compared with aseptic revision. The purposes of this study were to compare the RVUs of aseptic and septic revision total knee arthroplasties and to calculate the RVU per minute for work effort. Methods: The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database was analyzed for the years 2006 to 2017. The Current Procedural Terminology (CPT) code 27487 and the International Classification of Diseases, Ninth Revision (ICD-9) code 996.XX, excluding 996.6X, were used to identify all aseptic revision total knee arthroplasties (n = 12,907). The CPT code 27487 and the ICD-9 code 996.6X were used to determine all 1-stage septic revision total knee arthroplasties (n = 891). The CPT codes 27488 and 11981 were used to identify the first stage of a 2-stage revision (n = 293). The CPT codes 27447 and 11982 were used to identify the second stage of a 2-stage revision (n = 279). After 4:1 propensity score matching, 274 cases were identified per septic cohort (aseptic single-stage: n = 1,096). The RVU-to-dollar conversion factor was provided by the U.S. Centers for Medicare & Medicaid Services (CMS), and RVU dollar valuations were calculated. Results: The septic second-stage revision was used as the control group for comparisons. The RVU per minute for the aseptic 2-component revision was 0.215, from a mean operative time of 148.95 minutes. The RVU per minute for the septic, 2-component, 1-stage revision was 0.199, from a mean operative time of 160.6 minutes. For septic, 2-stage revisions, the first-stage RVU per minute was 0.157, from a mean operative time of 138.1 minutes. The second-stage RVU per minute was 0.144, from a mean operative time of 170.0 minutes. Two-component aseptic revision total knee arthroplasty was valued the highest. Conclusions: Despite the increased complexity and worse postoperative outcomes associated with revision total knee arthroplasties for infection, the current physician reimbursement does not account for these challenges. This inadequate compensation may discourage providers from performing these operations and, in turn, make it more difficult for patients with periprosthetic joint infection to receive the necessary treatment. Therefore, the CPT code revaluation may be warranted for these procedures.
Background Given the morbidity, mortality, and financial burden associated with venous thromboembolism (VTE) after TKA, orthopaedic providers continually seek to identify risk factors associated with this devastating complication. The association between perioperative transfusion status and VTE risk has not been thoroughly explored, with previous studies evaluating this relationship being limited in both generalizability and power. Questions/purposes Therefore, we sought to determine whether perioperative transfusions were associated with an increased risk of (1) pulmonary embolism (PE) or (2) deep vein thrombosis (DVT) after primary TKA in a large, multi-institutional sample. Methods The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database was implemented for our analysis. The definitions of complications, such as DVT and PE, and risk adjustment validation is monitored by the central ACS NSQIP office to ensure participating hospitals are adhering to the same guidelines to log patients. Additionally, both preoperative and intraoperative/72 hour postoperative transfusion status is included for all patients. Therefore, ACS NSQIP was determined to be the most appropriate database for our analysis. All patients who underwent primary TKA between 2011 and 2018 were identified using Current Procedural Terminology code 27447. Primary TKAs designated as “non-elective” were excluded, thereby providing a cohort composed solely of patients undergoing unilateral primary elective TKA for further analysis. The final analysis included 333,463 patients undergoing TKA (mean age 67 ± 9 years, 62% female). Preoperative transfusions were received by < 0.01% (48 of 333,463) of the patients, while 4% (14,590 of 333,463) received a transfusion within the interim between the start of surgery up to 72 hours postoperatively. All missing values were imputed through multiple imputation by chained equation to avoid variable availability-based selection and the subsequent listwise deletion-associated bias in the estimate of parameters. A multivariable logistic regression analysis was conducted using variables identified in a univariate model to calculate adjusted odds ratios and 95% confidence intervals for risk factors associated with symptomatic DVT and/or PE. For variables that maintained significance in the multivariable model, an additional model without confounders was used to generate fully adjusted ORs and 95% CIs. A propensity score matched comparison between recipients versus nonrecipients (1:1) of transfusion (preoperative and intraoperative/72 hours postoperative) was then conducted to evaluate the independent association between DVT/PE development and patients’ transfusion status. Significance was determined at a p value < 0.05. Results Adjusted multivariable regression analysis accounting for patient age, sex, race, BMI, American Society of Anesthesiologists (ASA) class and baseline comorbidities demonstrated the absence of an association between preoperative (OR 1.75 [95% CI 0.24 to 12.7]; p = 0.58) or intraoperative/72 hours postoperative (OR 1.12 [95% CI 0.93 to 1.35]; p = 0.23) transfusions and higher odds of developing PE. Similar findings were demonstrated after propensity score matching. Although multivariable regression demonstrated the absence of an association between preoperative transfusion and the odds of developing DVT within the 30-day postoperative period (OR 1.85 [95% CI 0.43 to 8.05]; p = 0.41), intraoperative/postoperative transfusion was associated with higher odds of DVT development (OR 3.68 [95% CI 1.14 to 1.53]; p < 0.001) relative to transfusion naïve patients. However, this significance was lost after propensity score matching. Conclusion After controlling for various potential confounding variables such as ASA Class, age, anesthesia type, and BMI, the receipt of an intra- or postoperative transfusion was found to be associated with an increased risk of DVT. Our findings should encourage orthopaedic providers to strictly adhere to blood management protocols, further tighten transfusion eligibility, and adjust surgical approach and implant type to reduce the incidence of transfusion among patients with other DVT risk factors. Additionally, our findings should encourage a multidisciplinary approach to VTE prophylaxis and prevention, as well as to blood transfusion guideline adherence, among all providers of the care team. Level of Evidence Level III, therapeutic study.
Précis: Publications in glaucoma have seen an increase in the number of authors and disclosures per article, authors with dual degrees, and international authors, but contributions of women to articles published remains low. Purpose: Authorship trends have been studied across many medical specialties and in ophthalmology as a whole, but not specifically in glaucoma. The authors explored the authorship trends of original scientific articles in the Journal of Glaucoma. Materials and Methods: The authors recorded the number of authors and disclosures per article, degree type of first and last authors, geographical origin of the corresponding author, and sex of first and last authors of original content from the Journal of Glaucoma published in 1992, 1997, 2002, 2007, 2012, and 2017. Results: A total of 642 articles were analyzed. From 1992 to 2017, annual published articles increased from 38 to 242 (P=0.02), the mean number of authors per article increased from 3.2 to 5.2 (P<0.01), the mean number of disclosures per article increased from 0.3 to 1.0 (P=0.04), the proportion of first and last authors with dual degrees (medical plus advanced degrees) also increased (both P<0.03), whereas the proportion with a sole medical degree decreased (both P<0.05). There was a proportional decrease in articles from North America (P=0.03), and proportional increase from the “Far East” (P=0.04) and “Other” regions (P=0.04). No significant changes in proportions of female first and last authors were found (both P>0.28). Conclusions: Consistent with authorship trends across various other medical specialties, glaucoma has seen an increase in the number of authors and disclosures per article, authors with dual degrees, and authors from the “Far East” and “Other” regions. However, contributions of women to articles published in Journal of Glaucoma remain low.
Background The association between preoperative prescription drug use (narcotics, sedatives, and stimulants) and complications and/or greater healthcare utilization (length of stay, discharge disposition, readmission, emergency department visits, and reoperation) after total joint arthroplasty has been established but not well quantified. The NarxCare score (NCS) is a weighted scalar measure of overall prescription opioid, sedative, and stimulant use. Higher scores reflect riskier drug-use patterns, which are calculated based on (1) the number of prescribing providers, (2) the number of dispensing pharmacies, (3) milligram equivalence doses, (4) coprescribed potentiating drugs, and (5) overlapping prescription days. The aforementioned factors have not been incorporated into association measures between preoperative prescription drug use and adverse events after THA. In addition, the utility of the NCS as a scalar measure in predicting post-THA complications has not been explored. Questions/purposes (1) Is the NarxCare score (NCS) associated with 90-day readmission, reoperation, emergency department visits, length of stay, and discharge disposition after primary THA; and are there NCS thresholds associated with a higher risk for those adverse outcomes if such an association exists? (2) Is there an association between the type of preoperative active drug prescription and the aforementioned outcomes? Methods Of 3040 primary unilateral THAs performed between November 2018 and December 2019, 92% (2787) had complete baseline information and were subsequently included. The cohort with missing baseline information (NCS or demographic/racial determinants; 8%) had similar BMI distribution but slightly younger age and a lower Charlson Comorbidity Index (CCI). Outcomes in this retrospective study of a longitudinally maintained institutional database included 90-day readmissions (all-cause, procedure, and nonprocedure-related), reoperations, 90-day emergency department (ED) visits, prolonged length of stay (> 2 days), and discharge disposition (home or nonhome). The association between the NCS category and THA outcomes was analyzed through multivariable regression analyses and a confirmatory propensity score–matched comparison based on age, gender, race, BMI, smoking status, CCI, insurance status, preoperative diagnosis, and surgical approach, which removed significant differences at baseline. A similar regression model was constructed to evaluate the association between the type of preoperative active drug prescription (opioids, sedatives, and stimulants) and adverse outcomes after THA. Results After controlling for potentially confounding variables like age, gender, race, BMI, smoking status, CCI, insurance status, preoperative diagnosis, and surgical approach, an NCS of 300 to 399 was associated with a higher odds of 90-day all-cause readmission (odds ratio 2.0 [95% confidence interval 1.1 to 3.3]; p = 0.02), procedure-related readmission (OR 3.3 [95% CI 1.4 to 7.9]; p = 0.006), length of stay > 2 days (OR 2.2 [95% CI 1.5 to 3.2]; p < 0.001), and nonhome discharge (OR 2.0 [95% CI 1.3 to 3.1]; p = 0.002). A score of 400 to 499 demonstrated a similar pattern, in addition to a higher odds of 90-day emergency department visits (OR 2.2 [95% CI 1.2 to 3.9]; p = 0.01). After controlling for potentially confounding variables like age, gender, race, BMI, smoking status, CCI, insurance status, preoperative diagnosis, and surgical approach, we found no clinically important association between an active opioid prescription and 90-day all-cause readmission (OR 1.002 [95% CI 1.001 to 1.004]; p = 0.05), procedure-related readmission (OR 1.003 [95% CI 1.001 to 1.006]; p = 0.02), length of stay > 2 days (OR 1.003 [95% CI 1.002 to 1.005]; p < 0.001), or nonhome discharge (OR 1.002 [95% CI 1.001 to 1.003]; p = 0.019); the large size of the database allowed us to find statistical associations, but the effect sizes are so small that the finding is unlikely to be clinically meaningful. A similarly small association that is unlikely to be clinically important was found between active sedative use and 90-day ED visits (OR 1.002 [95% CI 1.001 to 1.004]; p = 0.02). Conclusion Preoperative prescription drug use, as reflected by higher NCSs, has a dose-response association with adverse outcomes after THA. Surgeons may use the preoperative NCS to initiate and guide a patient-centered discussion regarding possible postoperative risks associated with prescription drug-use patterns (sedatives, opioids, or stimulants). An interdisciplinary approach can then be initiated to mitigate unfavorable patterns of prescription drug use and subsequently lower patient NCSs. However, given its nature and its reflection of drug-use patterns rather than patients’ current health status, the NCS does not qualify as a basis for surgical denial or ineligibility. Level of Evidence Level III, diagnostic study.
IMPORTANCE The adverse outcomes after total knee arthroplasty (TKA) associated with preoperative prescription drug use (ie, use of narcotics, sedatives, and stimulants) have been established but are not well quantified. OBJECTIVE To test the association of preoperative overdose risk score (ORS) with postoperative health care use. DESIGN, SETTING, AND PARTICIPANTS This cohort study was conducted using data on a consecutive sample of individuals who underwent primary TKA from November 2018 through March 2020 at a tertiary care health system. Data were collected using the Orthopaedic Minimal Data Set Episode of Care, a validated data-collection system for all elective orthopedic surgical interventions taking place within the health care system. Outcomes were assessed at 90 days postoperatively. Individuals whose preoperative baseline characteristics or ORS were not provided or who declined to participate were excluded. Data were analyzed from September through October 2020. EXPOSURE Patient-specific preoperative ORS, as measured using NarxCare, associated with patterns of prescription drug use. MAIN OUTCOMES AND MEASURES Associations between patient-specific ORS categories and 90-day postoperative health care use (ie, prolonged hospital length of stay [LOS; ie, >2 days],nonhome discharge, all-cause 90-day readmission, emergency department [ED] visits, and reoperation) were evaluated. Outcomes were also compared between a group of individuals with ORS less than 300 vs those with ORS 300 or greater who were propensity score matched (4:1; caliper, 0.1) using demographic characteristics (ie, age, sex, race, body mass index, and smoking status) and baseline comorbidities.RESULTS Among 4326 individuals who underwent primary TKA, 2623 (60.63%) were women, 3602 individuals (83.26%) were White, the mean (SD) BMI was 32.8 (6.9), and the mean (SD) age was 66.6 (9.2) years; 90-day follow-up was available for the entire cohort. The predominant preoperative diagnosis was osteoarthritis, occurring among 4170 individuals (96.4%). For individuals with an ORS of 300 to 399, there were significantly higher odds of a prolonged LOS (odds ratio [OR],
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