A smart decision: smartphone use for operative data collection in arthroscopic shoulder instability surgery

Validation of a Smartphone-Based Institutional Electronic Data Capture System for Thumb Carpometacarpal Joint Arthroplasty

BACKGROUND

The Orthopaedic Minimal Data Set (OrthoMiDaS) Episode of care (OME) is a prospectively collected database enabling capture of patient and surgeon-reported data in a more efficient, comprehensive, and dependable manner than electronic medical record (EMR) review. We aimed to assess and validate the OME as a data capture tool for carpometacarpal (CMC) arthroplasty compared to traditional EMR-based review. Specifically, we aimed to: (1) compare the completeness of the OME versus EMR data; and (2) evaluate the extent of agreement between the OME and EMR data-based datasets for carpometacarpal (CMC) arthroplasty.

METHODS

The first 100 thumb CMC arthroplasties after OME inception (Febuary, 2015) were included. Blinded EMR-based review of the same cases was performedfor 48 perioperative variables and compared to their OME-sourced counterparts. Outcomes included completion rates and agreement measures in OME versus EMR-based control datasets.

RESULTS

The OME demonstrated superior completion rates compared to EMR-based retrospective review. There was high agreement between both datasets where 75.6% (34/45) had an agreement proportion of >0.90% and 82.2% (37/45) had an agreement proportion of >0.80. Over 40% of the variables had almost perfect to substantial agreement (κ > 0.60). Among the 6 variables demonstrating poor agreement, the surgeon-inputted OME values were more accurate than the EMR-based review control.

CONCLUSIONS

This study validates the use of the OME for CMC arthroplasty by illustrating that it is reliably able to match or supersede traditional chart review for data collection; thereby offering a high-quality tool for future CMC arthroplasty studies.

Opioid and Sedative NarxCare Scores Greater Than 300 Are Associated With Adverse Outcomes After Nonemergent Spine Surgery

STUDY DESIGN

This was a prospectively captured cohort study.

OBJECTIVE

To explore associations between the preoperative opioid-specific NarxCare Scores (NCS) (NCS-opioids) as well as sedative-specific NCS (NCS-sedatives) as measures of patients' prescription drug use and (1) 90-day postoperative readmission; (2) ED visits; (3) reoperation; (4) prolonged (>2 d) hospital length of stay (LOS); and (5) nonhome discharge. In addition, we sought to evaluate the previously suggested 300+ threshold as a cutoff for moderate/high-risk designation.

BACKGROUND

The association between preoperative opioids and sedative use and healthcare utilization after nonemergent spine surgery is not well quantified. The NCS is a weighted scalar measure of opioids and sedatives that accounts for the number of prescribing providers, dispensing pharmacies, milligram equivalence doses, and overlapping prescription days.

METHODS

A total of 4680 nonemergent spine surgery cases were included. Preoperative NCS-opioids/sedatives were captured. Bivariate and multivariable regression models were constructed to analyze associations between NCS-opioids/sedatives ranges and outcomes while accounting for baseline differences. Spline regression and propensity score matching (PSM) analyses were also implemented.

RESULTS

For NCS-opioid, multivariable regression demonstrated higher odds of prolonged LOS starting in the 400 to 499 NCS-opioids category [odds ratio (OR): 1.44; 95% confidence interval (CI): 1.05-1.97; P =0.026] going into the 500+ category (OR: 1.94; 95% CI: 1.29-2.93; P =0.002]. The 500+ categories exhibited higher odds of 90-day readmission (OR: 1.77; 95% CI: 1.01-3.09; P =0.045). PSM comparison demonstrated that patients within the 300+ category had higher incidence of prolonged LOS [n=455 (44%) vs . n=537 (52%); P <0.001], 90-day readmission [n=118 (11%) vs . n=155 (15%); P =0.019] and 90-day reoperation [n=51 (4.9%) vs . n=74 (7.2%); P =0.042]. For NCS-sedative; there was higher odds of prolonged LOS (OR: 1.73; 95% CI: 1.14-2.63; P =0.010) and nonhome discharge(OR: 2.09; 95%CI: 1.22-3.63; P =0.008) within the 400 to 499 NCS-sedatives category. PSM comparison demonstrated significantly higher rates of prolonged LOS within the 300+ NCS-sedative cohort ( vs . scores <300), [n=277 (44%) vs. 319 (50%); P =0.021].

CONCLUSION

Spine surgery continues to advance toward patient-specific care. Higher NCS-opioids/sedatives values may predict up to a twofold increase in postoperative healthcare utilization. High values should prompt an interdisciplinary approach to mitigate deleterious prescription drug use.

Validation of a Novel Smartphone-Based Electronic Data Capture System Following Surgical Fixation of Distal Radial Fractures

BACKGROUND

Large prospective institutional data provide the opportunity to conduct level II and III studies using robust methodologies and adequately powered sample-sizes, while circumventing limitations of retrospective databases. We aimed to validate a prospective data collection tool, the Orthopaedic Minimal Data Set Episode of Care (OME), implemented at a tertiary North American health care system for distal radial fracture (DRF) open reduction and internal fixation (ORIF).

METHODS

The first 100 DRF ORIFs performed after OME inception (February 2015) were selected for this validation study. A blinded review of the operative notes and charts was performed, and extracted data of 75 perioperative DRF ORIF procedure variables were compared with OME collected data for agreement. Outcomes included completion rates and agreement measures in OME versus electronic medical record (EMR)-based control datasets. Data counts were evaluated using raw percentages and McNemar tests. Cohen (κ) and concordance correlation coefficient analyzed categorical and numerical variable agreement, respectively.

RESULTS

Overall, OME demonstrated superior completion and agreement parameters versus EMR-based retrospective review. Nine data points (12.0%) demonstrated significantly higher completion rates within the OME dataset (P < .05, each), and 88% (66/75) of captured variables demonstrated similar completion rates. Up to 80.0% (60/75) of variables either demonstrated an agreement proportion of ≥0.90 or were solely reported in the OME. Of 33 variables eligible for agreement analyses, 36.4% (12/33) demonstrated almost perfect agreement (κ > 0.80), and 63.6% (21/33) exhibited almost perfect or substantial agreement (κ > 0.60).

CONCLUSIONS

The OME is a valid and accurate prospective data collection tool for DRF ORIF that is reliably able to match or supersede traditional retrospective chart review. Future investigations could use this tool for large-scale analyses investigating peri/intraoperative DRF ORIF variables.

Associations of preoperative patient mental health status and sociodemographic and clinical characteristics with baseline pain, function, and satisfaction in patients undergoing primary shoulder arthroplasty

HYPOTHESIS AND BACKGROUND

Shoulder pain and dysfunction are common indications for shoulder arthroplasty, yet the factors that are associated with these symptoms are not fully understood. This study aimed to investigate the associations of patient and disease-specific factors with preoperative patient-reported outcome measures (PROMs) in patients undergoing primary shoulder arthroplasty. We hypothesized that worse mental health status assessed by the Veterans RAND 12-Item Health Survey (VR-12) mental component score (MCS), glenoid bone loss, and increasing rotator cuff tear severity would be associated with lower values for the preoperative total Penn Shoulder Score (PSS) and its pain, function, and satisfaction subscores.

METHODS

We prospectively identified 12 patient factors and 4 disease-specific factors as possible statistical predictors of preoperative PROMs in patients undergoing primary shoulder arthroplasty at a single institution over a 3-year period. Multivariable statistical modeling and Akaike information criterion comparisons were used to investigate the unique associations with, and relative importance of, these factors in accounting for variation in the preoperative PSS and its subscores.

RESULTS

A total of 788 cases performed by 12 surgeons met the inclusion criteria, with a preoperative median total PSS of 31 points (pain, 10 points; function, 18 points; and satisfaction, 1 point). As hypothesized, a lower VR-12 MCS was associated with lower preoperative PSS pain, function, and total scores, but patients with intact status or small to medium rotator cuff tears had modestly lower PSS pain subscores (ie, more pain) than patients with large to massive superior-posterior rotator cuff tears. Glenoid bone loss was not associated with the preoperative PSS. Female sex and fewer years of education (for all 4 outcomes), lower VR-12 MCS and preoperative opioid use (for all outcomes but satisfaction), and rotator cuff tear severity (for pain only) were the factors most prominently associated with preoperative PROMs.

CONCLUSION

In addition to mental health status and rotator cuff tear status, patient sex, years of education, and preoperative opioid use were most prominently associated with preoperative PROMs in patients undergoing shoulder arthroplasty. Further studies are needed to investigate whether these factors will also predict postoperative PROMs.