Human-centered Design of a Health Recommender System for Orthopaedic Shoulder Treatment.

Background: Rich data on diverse patients and their treatments and outcomes within Electronic Health Record (EHR) systems can be used to generate real world evidence. A health recommender system (HRS) framework can be applied to a decision support system application to generate data summaries for similar patients during the clinical encounter to assist physicians and patients in making evidence-based shared treatment decisions. Objective: A human-centered design (HCD) process was used to develop a HRS for treatment decision support in orthopaedic medicine, the Informatics Consult for Individualized Treatment (I-C-IT). We also evaluate the usability and utility of the system from the physician's perspective, focusing on elements of utility and shared decision-making in orthopaedic medicine. Methods: The HCD process for I-C-IT included 6 steps across three phases of analysis, design, and evaluation. A team of informaticians and comparative effectiveness researchers directly engaged with orthopaedic surgeon subject matter experts in a collaborative I-C-IT prototype design process. Ten orthopaedic surgeons participated in a mixed methods evaluation of the I-C-IT prototype that was produced. Results: The HCD process resulted in a prototype system, I-C-IT, with 14 data visualization elements and a set of design principles crucial for HRS for decision support. The overall standard system usability scale (SUS) score for the I-C-IT Webapp prototype was 88.75 indicating high usability. In addition, utility questions addressing shared decision-making found that 90% of orthopaedic surgeon respondents either strongly agreed or agreed that I-C-IT would help them make data informed decisions with their patients. Conclusion: The HCD process produced an HRS prototype that is capable of supporting orthopaedic surgeons and patients in their information needs during clinical encounters. Future research should focus on refining I-C-IT by incorporating patient feedback in future iterative cycles of system design and evaluation.

ICD-10 diagnosis codes in electronic health records do not adequately capture fracture complexity for proximal humerus fractures.

BACKGROUND: The ability to do comparative effectiveness research (CER) for proximal humerus fractures (PHF) using data in electronic health record (EHR) systems and administrative claims databases was enhanced by the 10th revision of the International Classification of Diseases (ICD-10), which expanded the diagnosis codes for PHF to describe fracture complexity including displacement and the number of fracture parts. However, these expanded codes only enhance secondary use of data for research if the codes selected and recorded correctly reflect the fracture complexity. The objective of this project was to assess the accuracy of ICD-10 diagnosis codes documented during routine clinical practice for secondary use of EHR data. METHODS: A sample of patients with PHFs treated by orthopedic providers across a large, regional health care system between January 1, 2016, and December 31, 2018, were retrospectively identified from the EHR. Four fellowship-trained orthopedic surgeons reviewed patient radiographs and recorded the Neer Classification characteristics of displacement, number of parts, and fracture location(s). The fracture characteristics were then reviewed by a trained coder, and the most clinically appropriate ICD-10 diagnosis code based on the number of fracture parts was assigned. We assessed congruence between ICD-10 codes documented in the EHR and radiograph-validated codes, and assessed sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for EHR-documented ICD-10 codes. RESULTS: There were 761 patients with unilateral, closed PHF who met study inclusion criteria. On average, patients were 67 years of age and 77% were female. Based on radiograph review, 37% were 1-part fractures, 42% were 2-part, 11% were 3-part, and 10% were 4-part fractures. Of the EHR diagnosis codes recorded during clinical practice, 59% were "unspecified" fracture diagnosis codes that did not identify the number of fracture parts. Examination of fracture codes revealed PPV was highest for 1-part (PPV = 0.66, 95% confidence interval [CI] 0.60-0.72) and 4-part fractures (PPV = 0.67, 95% CI 0.13-1.00). CONCLUSIONS: Current diagnosis coding practices do not adequately capture the fracture complexity needed to conduct subgroup analysis for PHF. Conclusions drawn from population studies or large databases using ICD-10 codes for PHF classification should be interpreted within this limitation. Future studies are warranted to improve diagnostic coding to support large observational studies using EHR and administrative claims data.

Implementation of a Patient-Tailored Opioid Prescribing Guideline in Ventral Hernia Surgery.

INTRODUCTION: Opioids are commonly prescribed beyond what is necessary to adequately manage postoperative pain, increasing the likelihood of chronic opioid use, pill diversion, and misuse. We sought to assess opioid utilization and patient-reported outcomes (PROs) in patients undergoing ventral hernia repair (VHR) following the implementation of a patient-tailored opioid prescribing guideline. METHODS: A patient-tailored opioid prescribing guideline was implemented in March of 2018 for patients undergoing inpatient VHR in a large regional healthcare system. We retrospectively assessed opioid utilization and patient-reported outcomes among patients who did (n = 42) and did not receive guideline-based care (n = 121) between March 2018 and December 2019. PROs, operative details, and patient characteristics were extracted from the Abdominal Core Health Quality Collaborative (ACHQC) registry data, and length-of-stay and prescription information were extracted from the electronic health record system at the healthcare institution. RESULTS: The milligram morphine equivalents (MME) prescribed at discharge was lower for patients receiving guideline-based care (Median = 65, interquartile range [IQR] = 50-75) than patients receiving standard care (Median = 100, IQR = 60-150). After adjusting for patient characteristics, the odds of receiving an opioid refill after discharge did not significantly differ between patient groups (P = 0.43). Patient Reported Outcomes Measurement Information System (PROMIS) pain scores and hernia-specific quality-of-life (HerQLes) scores at follow-up also did not differ between patients receiving guideline-based care (Mean PROMIS = 57.3; Mean HerQLes = 53.1) versus those that did not (Mean PROMIS = 56.7; Mean HerQLes = 46.6). CONCLUSIONS: Patients who received tailored, guideline-based opioid prescriptions were discharged with lower opioid dosages and did not require more opioid refills than patients receiving standard opioid prescriptions. Additionally, we found no differences in pain or quality-of-life scores after discharge, indicating the opioids prescribed under the guideline were sufficient for patients.