Surgical treatment for recurrent shoulder instability: factors influencing surgeon decision making.

BACKGROUND: The optimal surgical approach for recurrent anterior shoulder instability remains controversial, particularly in the face of glenoid and/or humeral bone loss. The purpose of this study was to use a contingent-behavior questionnaire (CBQ) to determine which factors drive surgeons to perform bony procedures over soft tissue procedures to address recurrent anterior shoulder instability. METHODS: A CBQ survey presented each respondent with 32 clinical vignettes of recurrent shoulder instability that contained 8 patient factors. The factors included (1) age, (2) sex, (3) hand dominance, (4) number of previous dislocations, (5) activity level, (6) generalized laxity, (7) glenoid bone loss, and (8) glenoid track. The survey was distributed to fellowship-trained surgeons in shoulder/elbow or sports medicine. Respondents were asked to recommend either a soft tissue or bone-based procedure, then specifically recommend a type of procedure. Responses were analyzed using a multinomial-logit regression model that quantified the relative importance of the patient characteristics in choosing bony procedures. RESULTS: Seventy orthopedic surgeons completed the survey, 33 were shoulder/elbow fellowship trained and 37 were sports medicine fellowship trained; 52% were in clinical practice ≥10 years and 48% <10 years; and 95% reported that the shoulder surgery made up at least 25% of their practice. There were 53% from private practice, 33% from academic medicine, and 14% in government settings. Amount of glenoid bone loss was the single most important factor driving surgeons to perform bony procedures over soft tissue procedures, followed by the patient age (19-25 years) and the patient activity level. The number of prior dislocations and glenoid track status did not have a strong influence on respondents' decision making. Twenty-one percent glenoid bone loss was the threshold of bone loss that influenced decision toward a bony procedure. If surgeons performed 10 or more open procedures per year, they were more likely to perform a bony procedure. CONCLUSION: The factors that drove surgeons to choose bony procedures were the amount of glenoid bone loss with the threshold at 21%, patient age, and their activity demands. Surprisingly, glenoid track status and the number of previous dislocations did not strongly influence surgical treatment decisions. Ten open shoulder procedures a year seems to provide a level of comfort to recommend bony treatment for shoulder instability.

Plasmodium falciparum genetic crosses in a humanized mouse model.

Genetic crosses of phenotypically distinct strains of the human malaria parasite Plasmodium falciparum are a powerful tool for identifying genes controlling drug resistance and other key phenotypes. Previous studies relied on the isolation of recombinant parasites from splenectomized chimpanzees, a research avenue that is no longer available. Here we demonstrate that human-liver chimeric mice support recovery of recombinant progeny for the identification of genetic determinants of parasite traits and adaptations.

Patient-Preference Diagnostics: Adapting Stated-Preference Methods to Inform Effective Shared Decision Making.

BACKGROUND: While clinical practice guidelines underscore the need to incorporate patient preferences in clinical decision making, incorporating meaningful assessment of patient preferences in clinical encounters is challenging. Structured approaches that combine quantitative patient preferences and clinical evidence could facilitate effective patient-provider communication and more patient-centric health care decisions. Adaptive conjoint or stated-preference approaches can identify individual preference parameters, but they can require a relatively large number of choice questions or simplifying assumptions about the error with which preferences are elicited. METHOD: We propose an approach to efficiently diagnose preferences of patients for outcomes of treatment alternatives by leveraging prior information on patient preferences to generate adaptive choice questions to identify a patient's proximity to known preference phenotypes. This information can be used for measuring sensitivity and specificity, much like any other diagnostic procedure. We simulated responses with varying levels of choice errors for hypothetical patients with specific preference profiles to measure sensitivity and specificity of a 2-question preference diagnostic. RESULTS: We identified 4 classes representing distinct preference profiles for patients who participated in a previous first-time anterior shoulder dislocation (FTASD) survey. Posterior probabilities of class membership at the end of a 2-question sequence ranged from 87% to 89%. We found that specificity and sensitivity of the 2-question sequences were robust to respondent errors. The questions appeared to have better specificity than sensitivity. CONCLUSIONS: Our results suggest that this approach could help diagnose patient preferences for treatments for a condition such as FTASD with acceptable precision using as few as 2 choice questions. Such preference-diagnostic tools could be used to improve and document alignment of treatment choices and patient preferences. HIGHLIGHTS: Approaches that combine patient preferences and clinical evidence can facilitate effective patient-provider communication and more patient-centric healthcare decisions. However, diagnosing individual-level preferences is challenging, and no formal diagnostic tools exist.We propose a structured approach to efficiently diagnose patient preferences based on prior information on the distribution of patient preferences in a population.We generated a 2-question test of preferences for the outcomes associated with the treatment of first-time anterior shoulder dislocation.The diagnosis of preferences can help physicians discuss relevant aspects of the treatment options and proactively address patient concerns during the clinical encounter.

Overcoming barriers to the adoption and implementation of predictive modeling and machine learning in clinical care: what can we learn from US academic medical centers?

There is little known about how academic medical centers (AMCs) in the US develop, implement, and maintain predictive modeling and machine learning (PM and ML) models. We conducted semi-structured interviews with leaders from AMCs to assess their use of PM and ML in clinical care, understand associated challenges, and determine recommended best practices. Each transcribed interview was iteratively coded and reconciled by a minimum of 2 investigators to identify key barriers to and facilitators of PM and ML adoption and implementation in clinical care. Interviews were conducted with 33 individuals from 19 AMCs nationally. AMCs varied greatly in the use of PM and ML within clinical care, from some just beginning to explore their utility to others with multiple models integrated into clinical care. Informants identified 5 key barriers to the adoption and implementation of PM and ML in clinical care: (1) culture and personnel, (2) clinical utility of the PM and ML tool, (3) financing, (4) technology, and (5) data. Recommendation to the informatics community to overcome these barriers included: (1) development of robust evaluation methodologies, (2) partnership with vendors, and (3) development and dissemination of best practices. For institutions developing clinical PM and ML applications, they are advised to: (1) develop appropriate governance, (2) strengthen data access, integrity, and provenance, and (3) adhere to the 5 rights of clinical decision support. This article highlights key challenges of implementing PM and ML in clinical care at AMCs and suggests best practices for development, implementation, and maintenance at these institutions.

Patient Preferences for Surgical Treatment of Knee Osteoarthritis: A Discrete-Choice Experiment Evaluating Total and Unicompartmental Knee Arthroplasty.

BACKGROUND: Total knee arthroplasty (TKA) is a common treatment for end-stage knee osteoarthritis but is associated with increased complication rates compared with unicompartmental knee arthroplasty (UKA). UKA offers better functional outcomes but is associated with a higher risk of revision. The purpose of this study was to apply good-practice, stated-preference methods to quantify patient preferences for benefit-risk tradeoffs associated with arthroplasty treatments for end-stage knee osteoarthritis. METHODS: A discrete-choice experiment was developed with the following attributes: chance of complications, functional ability, awareness of the knee implant, and chance of needing another operation within 10 years. Patients included those aged 40 to 80 years with knee osteoarthritis. A pivot design filtered respondents into 1 of 2 surveys on the basis of self-reported functional ability (good compared with fair or poor) as measured by the Oxford Knee Score. Treatment-preference data were collected, and relative attribute-importance weights were estimated. RESULTS: Two hundred and fifty-eight completed survey instruments from 92 males and 164 females were analyzed, with 72 respondents in the good-function cohort and 186 in the fair/poor-function cohort. Patients placed the greatest value or relative importance on serious complications and rates of revision in both cohorts. Preference weights did not vary between cohorts for any attribute. In the good-function cohort, 42% of respondents chose TKA and 58% chose UKA. In the fair/poor-function cohort, 54% chose TKA and 46% chose UKA. CONCLUSIONS: Patient preferences for various treatment attributes varied among patients in a knee osteoarthritis population. Complication and revision rates were the most important factors to patients, suggesting that physicians should focus on these areas when discussing treatments. The proportion of patients who chose UKA suggests that the current trend of increased UKA utilization is aligned with patient preferences. CLINICAL RELEVANCE: Systematic elicitation of patient preferences for knee arthroplasty procedures, which lays out evidence-based risks and benefits of different treatments, indicates a larger subset of the knee osteoarthritis population may prefer UKA than would be suggested by the current rates of utilization of the procedure. Arthroplasty treatment should align with patient preferences and eligibility criteria to better deliver patient-centered care.

Surgeon Applications of Patient Preferences in Treatment Decision Making for First-Time Anterior Shoulder Dislocation.

BACKGROUND: Treatment of a first-time anterior shoulder dislocation (FTASD) is sensitive to patient preferences. The operative or nonoperative management debate provides an excellent opportunity to learn how surgeons apply patient preferences in treatment decisions. PURPOSE: To determine how patient preferences (repeat dislocation risk, recovery difficulties, fear of surgery, treatment costs) and surgeon factors influence a surgeon's treatment plan for FTASD. STUDY DESIGN: Cross-sectional study. METHODS: Eight clinical vignettes of hypothetical patients with FTASD (including age, sex, and activity level) were presented to members of the Magellan Society. A second set of matched vignettes with patient preferences and clinical variables were also presented. The vignettes represented scenarios in which evidence does not favor one treatment over another. Respondents were asked how they would manage each hypothetical case. Respondents also estimated the risk of redislocation for the nonoperative cases for comparison with the published rates. Finally, respondents completed a Likert-scale questionnaire to determine their perceptions on factors influencing their decisions. RESULTS: A total of 103 orthopaedic surgeons completed the survey; 48% practiced in an academic hospital; 79% were in practice for 10 years or longer; and 75% had completed a sports medicine fellowship. Patient preferences were the single most important factor influencing treatment recommendation, with activity type and age also important. Just 62% of the surgeon estimates of the risk of redislocation were consistent with the published rates. The inclusion of patient preferences to clinical variables changed treatment recommendations in 62.5% of our hypothetical cases. Respondents rated patient treatment preference as the leading factor in their treatment decision making. CONCLUSION: Patient preferences were important when deciding the appropriate treatment for FTASD. Respondents were inconsistent when applying evidence in their decision making and estimates of recurrent instability. Decision support tools that deliver patient preferences and personalized evidence-based outcome estimates improve the quality of decision making at the point of care.

Efficacy of a Preference-Based Decision Tool on Treatment Decisions for a First-Time Anterior Shoulder Dislocation: A Randomized Controlled Trial of At-Risk Patients.

BACKGROUND: First-time anterior shoulder dislocations (FTASD) provide an opportunity to examine the value of integrating stated-preference data with decision modeling to differentiate between patients whose preferred management strategy involves operative or nonoperative treatment. The objective of this study was to evaluate the efficacy of a FTASD decision tool intervention with individual preference measurement compared with a text-based control in a randomized controlled trial. METHODS: Two hundred respondents between 18 and 35 years of age at risk for experiencing an FTASD were enrolled from the orthopedic clinics and randomized to receive either an interactive decision tool intervention capable of eliciting patient preferences for treatment of an FTASD or a text-based control on shoulder dislocations and treatments. The primary outcome was preference for operative or nonoperative treatment choice. Secondary outcomes included the decisional conflict scale (DCS), stage of decision making, patient activation and engagement, awareness of preference sensitive decisions, knowledge retention, and instrument acceptability. RESULTS: One hundred respondents were randomized to the intervention and 100 to the control. A total of 154 men and 46 women with an average age of 23.6 years completed the survey. Participants in the intervention group made treatment decisions that aligned more closely with evidence-based recommendations than those in the control group ( P = 0.016). Secondary outcomes showed no difference between intervention and control, excluding several DCS subscales. DISCUSSION: An interactive, preference-based decision tool for treatment of FTASD affects patient decision making by guiding respondents toward treatment decisions that align more closely with evidence-based recommendations in the absence of a consultation with an orthopedic provider compared with a standard-of-care control tool. Additional study is needed to evaluate the long-term effects of this tool on treatment outcomes, patient adherence, and satisfaction. LEVEL OF EVIDENCE: 2.

Concurrent validity of a patient self-administered examination and a clinical examination for femoroacetabular impingement syndrome.

OBJECTIVE: Telehealth has been established as a viable option for improved access and timeliness of care. Physician-guided patient self-evaluation may improve the viability of telehealth evaluation; however, there are little data evaluating the efficacy of self-administered examination (SAE). This study aims to compare the diagnostic accuracy of a patient SAE to a traditional standardised clinical examination (SCE) for evaluation of femoroacetabular impingement syndrome (FAIS). METHODS: 75 patients seeking care for hip-related pain were included for participation. All patients underwent both SAE and SCE and were randomised to the order of the examinations. Diagnostic accuracy statistics were calculated for both examination group for a final diagnosis of FAIS. Mean diagnostic accuracy results for each group were then compared using Mann-Whitney U non-parametric tests. RESULTS: The diagnostic accuracy of individual SAE and SCE manoeuvres varied widely. Both SAE and SCE demonstrated no to moderate change in post-test probability for the diagnosis of FAIS. Although low, SAE demonstrated a statistically greater mean diagnostic accuracy compared with the SCE (53.6% vs 45.5%, p=0.02). CONCLUSION: Diagnostic accuracy was statistically significantly higher for the self-exam than for the traditional clinical exam although the difference may not be clinically relevant. Although the mean accuracy remains relatively low for both exams, these values are consistent with hip exam for FAIS reported in the literature. Having established the validity of an SAE, future investigations will need to evaluate implementation in a telehealth setting.

Relationship Between PROMIS Computer Adaptive Tests and Legacy Hip Measures Among Patients Presenting to a Tertiary Care Hip Preservation Center.

BACKGROUND: Legacy hip outcome measures may be burdensome to patients and sometimes yield floor or ceiling effects. Patient-Reported Outcomes Measurement Information System (PROMIS) computer adaptive tests (CATs) allow for low-burden data capture and limited ceiling and floor effects. PURPOSE/HYPOTHESIS: The purpose of this study was to determine whether the PROMIS CAT domains demonstrate correlation against commonly used legacy patient-reported outcome measures in a population of patients presenting to a tertiary care hip preservation center. The authors hypothesized the following: (1) PROMIS CAT scores based on physical function (PF), pain interference (PIF), pain behavior, and pain intensity would show strong correlation with the following legacy scores: modified Harris Hip Score (mHHS), International Hip Outcome Tool-12 (iHOT-12), Hip Outcome Score (HOS) Sports and Activities of Daily Living subscales, and Veterans RAND-6D (VR-6D) utility measure. (2) The mental and physical health portions of the VR-6D legacy measure would show weak correlation with mental- and psychosocial-specific PROMIS elements-depression, anxiety, fatigue, sleep, and ability to participate in social roles and activities. (3) All PROMIS measures would exhibit fewer floor and ceiling effects than legacy scores. STUDY DESIGN: Cohort study (diagnosis); Level of evidence, 3. METHODS: Prospective data were collected on 125 patients in the hip preservation clinics. Enrollees completed legacy scores (visual analog scale for pain, mHHS, iHOT-12, HOS, and VR-6D) and PROMIS CAT questionnaires (PF, PIF, pain behavior, anxiety, depression, sleep, social roles and activities, pain intensity, fatigue). Spearman rank correlations were calculated, with rs values of 0 to 0.3 indicating negligible correlation; 0.3 to 0.5, weak correlation; 0.5 to 0.7, moderately strong correlation; and >0.7, strong correlation. Floor and ceiling effects were evaluated. RESULTS: As anticipated, the PF-CAT yielded strong correlations with the iHOT-12, mHHS, HOS-Sports, HOS-Activities of Daily Living, and VR-6D, with rs values of 0.76, 0.71, 0.81, 0.87, and 0.71, respectively. The PIF-CAT was the only pain score to show moderately strong to strong correlation with all 14 patient-reported outcome measures. A strong correlation was observed between the VR-6D and the social roles and activities CAT ( rs = 0.73). The depression CAT had a significant floor effect at 19%. No additional floor or ceiling effect was present for any other legacy or PROMIS measure. CONCLUSION: The PF-CAT shows strong correlation with legacy patient-reported outcome scores among patients presenting to a tertiary care hip preservation center. The PIF-CAT also correlates strongly with legacy and PROMIS measures evaluating physical and mental well-being. PROMIS measures are less burdensome and demonstrate no floor or ceiling effects, making them a potential alternative to legacy patient-reported outcome measures for the hip.

Assessing the Effectiveness of Evidence-Based Medicine in Practice: A Case Study of First-Time Anterior Shoulder Dislocations.

BACKGROUND: The dissemination of evidence-based information into medical practice is essential to provide patients with optimal care and realize society's substantial investments in medical research. Effective information delivery and treatment utilization may lead to improvements in patient outcome, reductions in cost, and an overall lower burden on the health-care system. This study examines the dissemination of medical evidence following a first-time anterior shoulder dislocation (FTASD) and assesses the impact of potential dissemination strategies. METHODS: The state of evidence dissemination into clinical practice for FTASD was evaluated with use of the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. The treatment pathway for patients with FTASDs was mapped and evaluated using data that were collected through an orthopaedic shoulder-specialist survey and with review of a claims database. RESULTS: A total of 1,755 patients with an FTASD were identified through a national claims database; 50% of patients followed up with a care provider within 30 days after an emergency department (ED) or urgent care visit. Based on shoulder-specialist survey data, physician estimates of the risk of redislocation within a 2-year window aligned with medical evidence 59% of the time. Only 29% of patients obtained information for FTASD that aligns with high-level medical evidence. CONCLUSIONS: There are gaps and deficiencies in the dissemination and application of evidence in the treatment of FTASDs. Specifically, patients have limited exposure to health-care encounters where appropriate information related to low rates of follow-up following ED or urgent care visits may be communicated. Evaluating the current state of practice and identifying areas of improvement for the dissemination of evidence regarding FTASDs can be achieved through application of the RE-AIM framework. Greater consideration and resourcing of dissemination and implementation strategies may improve the dissemination and the impact of existing medical evidence.

Characterizing Patient Preferences Surrounding Total Knee Arthroplasty.

BACKGROUND: Episode-based bundled payments for total knee arthroplasty emphasize cost-effective patient-centered care. Understanding patients' perceptions of components of the total knee arthroplasty care episode is critical to achieving this care. This study investigated patient preferences for components of the total knee arthroplasty care episode. METHODS: Best-worst scaling was used to analyze patient preferences for components of the total knee arthroplasty care episode. Participants were selected from patients presenting to 2 orthopaedic clinics with chronic knee pain. They were presented with descriptions of 17 attributes before completing a best-worst scaling exercise. Attribute importance was determined using hierarchical Bayesian estimation. Latent class analysis was used to evaluate varying preference profiles. RESULTS: One hundred and seventy-four patients completed the survey, and 117 patients (67%) were female. The mean age was 62.71 years. Participants placed the highest value on surgeon factors, including level of experience, satisfaction rating, and complication rates. Latent class analysis provided a 4-segment model of the population. CONCLUSIONS: This study demonstrated differences in patient preferences for the components of a total knee arthroplasty care episode and characterized distinct preference profiles among patient subsets. Stakeholders can use this information to focus efforts and policy on high-value components and to potentially create customized bundles guided by preference profiles. CLINICAL RELEVANCE: This study is clinically relevant because the patient preferences identified here may help providers to design customized bundles for total knee arthroplasty care.

Surgical site infection rates in dialysis patients undergoing endovascular procedures.

A surgical site infection (SSI) is an infection related to surgery that develops within 30 days after an operation or within 1 year of implant placement. Postoperative SSIs are the most common health-care-associated infections, occurring in up to 5% of surgical patients. Endovascular surgical procedures related to vascular access are common in the dialysis population and may cause SSIs. A large outpatient vascular access system developed and implemented a surveillance program to measure and monitor SSIs in their population. The health-care surveillance system extended to 76 ambulatory care centers across the United States and Puerto Rico. Based on a recorded 92,880 patient encounters, the surveillance system tabulated 12,541 valid patient survey responses documenting self-reported symptoms of infection within a 30-day postoperative period. The SSI rate was tabulated based on the presence of two or more specified indicators of infection: antibiotics, pus, dehiscence, pain, warmth, and swelling. Patients undergoing interventional procedures received surveys at discharge. Data were collected and analyzed using SPSS software. Survey analysis indicated a less than 3% superficial incisional SSI rate in hemodialysis patients undergoing endovascular procedures. The SSI rate for clean wound procedures is generally 2% or less. These data indicate that dialysis patients undergoing interventional procedures in vascular access centers may have a slightly greater risk of developing SSIs due to the presence of additional risk factors including obesity, diabetes, and age. This study was limited by a set of loose diagnostic criteria self-reported by patients, which may have overestimated the prevalence of infection. SSIs are a serious medical problem associated with increased morbidity and mortality and increased medical care costs. All providers should consider an active surveillance program following endovascular procedures given the comorbidities associated with the dialysis population.