Assessment of Team Dynamics and Operative Efficiency in Hip and Knee Arthroplasty

Importance

Surgical team communication is a critical component of operative efficiency. The factors underlying optimal communication, including team turnover, role composition, and mutual familiarity, remain underinvestigated in the operating room.

Objective

To assess staff turnover, trainee involvement, and surgeon staff preferences in terms of intraoperative efficiency.

Design, Setting, and Participants

Retrospective analysis of staff characteristics and operating times for all total joint arthroplasties was performed at a tertiary academic medical center by 5 surgeons from January 1 to December 31, 2018. Data were analyzed from May 1, 2021, to February 18, 2022. The study included cases with primary total hip arthroplasties (THAs) and primary total knee arthroplasties (TKAs) comprising all primary total joint arthroplasties performed over the 1-year study interval.

Exposures

Intraoperative turnover among nonsurgical staff, presence of trainees, and presence of surgeon-preferred staff.

Main Outcomes and Measures

Incision time, procedure time, and room time for each surgery. Multivariable regression analyses between operative duration, presence of surgeon-preferred staff, and turnover among nonsurgical personnel were conducted.

Results

A total of 641 cases, including 279 THAs (51% female; median age, 64 [IQR, 56.3-71.5] years) and 362 TKAs (66% [238] female; median age, 68 [IQR, 61.1-74.1] years) were considered. Turnover among circulating nurses was associated with a significant increase in operative duration in both THAs and TKAs, with estimated differences of 19.6 minutes (SE, 3.5; P < .001) of room time in THAs and 14.0 minutes (SE, 3.1; P < .001) of room time in TKAs. The presence of a preferred anesthesiologist or surgical technician was associated with significant decreases of 26.5 minutes (SE, 8.8; P = .003) of procedure time and 12.6 minutes (SE, 4.0; P = .002) of room time, respectively, in TKAs. The presence of a surgeon-preferred vendor was associated with a significant increase in operative duration in both THAs (26.3 minutes; SE, 7.3; P < .001) and TKAs (29.6 minutes; SE, 9.6; P = .002).

Conclusions and Relevance

This study found that turnover among operative staff is associated with procedural inefficiency. In contrast, the presence of surgeon-preferred staff may facilitate intraoperative efficiency. Administrative or technologic support of perioperative communication and team continuity may help improve operative efficiency.

Opioid Represcriptions After ACL Reconstruction in Adolescents Are Associated With Subsequent Opioid Use Disorder

INTRODUCTION

Postoperative opioid prescriptions may confer a risk for subsequent opioid use disorders (OUDs). For many children, postoperative analgesia is often the first opioid exposure. The rates of anterior cruciate ligament (ACL) reconstruction in pediatric populations are rising. Here, we use an administrative claims database to describe opioid prescription patterns after ACL reconstruction and their effect on subsequent risk of OUD.

METHODS

Using International Classification of Diseases (ICD)-9, ICD-10, and CPT codes, we identified patients, with ages 10 to 18, undergoing primary ACL reconstruction between 2014 and 2016 with minimum 1 year follow-up in the Optum Clinformatics Data Mart, which is a nationally representative administrative claims database. Demographic variables and prescription patterns (in morphine milligram equivalents [MMEs]) were analyzed using univariate tests and multivariable logistic regression to determine any potential association with the appearance of anew an ICD-9 or ICD-10 code for OUD within 1 year of the initial procedure.

RESULTS

A total of 4459 cases were included and 29 (0.7%) of these patients were diagnosed with an OUD within 1 year of surgery. Upon univariate analysis, opioid represcriptions within 6 weeks were significantly more common among patients with OUD; 27.6% vs. 9.7% of patients that did not develop a new diagnosis of OUD ( P =0.005). Multivariable logistic regression indicated an independent significant relationship between total MMEs initially prescribed and the odds of a subsequent OUD diagnosis: for each additional 100 MMEs prescribed in total, the odds of OUD increased by 13% ( P =0.002). Patients with a represcription within 6 weeks of surgery had an average increase in the odds of OUD by 161% ( P =0.027).

CONCLUSIONS

In this cohort of patient ages 10 to 18 undergoing primary isolated ACL reconstruction, we found substantial variability in opiate prescribing patterns and higher initial opioid prescription volume, as well as opioid represcription within 6 weeks were predictive of the subsequent development of OUD.

LEVEL OF EVIDENCE

Level III.

The Impact of Telehealth Adoption During COVID-19 Pandemic on Patterns of Pediatric Subspecialty Care Utilization

OBJECTIVE

The COVID-19 pandemic prompted health systems to rapidly adopt telehealth for clinical care. We examined the impact of demography, subspecialty characteristics, and broadband availability on the utilization of telehealth in pediatric populations before and after the early period of the COVID-19 pandemic.

METHODS

Outpatients scheduled for subspecialty visits at sites affiliated with a single quaternary academic medical center between March-June 2019 and March-June 2020 were included. The contribution of demographic, socioeconomic, and broadband availability to visit completion and telehealth utilization were examined in multivariable regression analyses.

RESULTS

Among visits scheduled in 2020 compared to 2019, in-person visits fell from 23,318 to 11,209, while telehealth visits increased from 150 to 7,675. Visits among established patients fell by 15% and new patients by 36% (P < .0001). Multivariable analysis revealed that completed visits were reduced for Hispanic patients and those with reduced broadband; high income, private non-HMO insurance, and those requesting an interpreter were more likely to complete visits. Those with visits scheduled in 2020, established patients, those with reduced broadband, and patients older than 1 year were more likely to complete TH appointments. Cardiology, oncology, and pulmonology patients were less likely to complete scheduled TH appointments.

CONCLUSIONS

Following COVID-19 onset, outpatient pediatric subspecialty visits shifted rapidly to telehealth. However, the impact of this shift on social disparities in outpatient utilization was mixed with variation among subspecialties. A growing reliance on telehealth will necessitate insights from other healthcare settings serving populations of diverse social and technological character.

Mothers of children with major congenital anomalies have increased health care utilization over a 20-year post-birth time horizon

OBJECTIVE

This population-based, matched cohort study aimed to evaluate utilization of health care services by mothers of children with major congenital anomalies (MCAs), compared to mothers of children without MCAs over a 20-year post-birth time horizon in Denmark.

METHODS

Our analytic sample included mothers who gave birth to an infant with a MCA (n = 23,927) and a cohort of mothers matched to them by maternal age, parity and infant's year of birth (n = 239,076). Primary outcomes were period prevalence and mothers' quantity of health care utilization (primary, inpatient, outpatient, surgical, and psychiatric services) stratified by their child's age (i.e., ages 0-6 = before school, ages 7-13 = pre-school + primary education, and ages 14-18 = secondary education or higher). The secondary outcome measure was length of hospital stays. Outcome measures were adjusted for maternal age at delivery, parity, marital status, income quartile, level of education in the year prior to the index birth, previous spontaneous abortions, maternal pregnancy complications, maternal diabetes, hypertension, alcohol-related diseases, and maternal smoking.

RESULTS

In both cohorts the majority of mothers were between 26 and 35 years of age, married, and employed, and 47% were primiparous. Mothers of infants with anomalies had greater utilization of outpatient, inpatient, surgical, and psychiatric services, compared with mothers in the matched cohort. Inpatient service utilization was greater in the exposed cohort up to 13 years after a child's birth, with the highest risk in the first six years after birth [adjusted risk ratio, 1.13; 95% confidence interval (CI), 1.12-1.14], with a decrease over time. Regarding the quantity of health care utilization, the greatest difference between the two groups was in inpatient service utilization, with a 39% increased rate in the exposed cohort during the first six years after birth (adjusted rate ratio, 1.39; 95% CI, 1.37-1.42). During the first 6 years after birth, mothers of children with anomalies stayed a median of 6 days (interquartile range [IQR], 3-13) in hospital overall, while the comparison cohort stayed a median of 4 days (IQR, 2-7) in hospital overall. Rates of utilization of outpatient clinics (adjusted rate ratio, 1.36; 95% CI, 1.29-1.42), as well as inpatient (adjusted rate ratio, 1.77; 95% CI, 1.68-1.87), and surgical services (adjusted rate ratio, 1.33; 95% CI, 1.26-1.41) was higher in mothers of children with multiple-organ MCAs during 0 to 6 years after birth. Among mothers at the lowest income levels, utilization of psychiatric clinic services increased to 59% and when their child was 7 to 13 years of age (adjusted rate ratio, 1.59; 95% CI, 1.24-2.03).

CONCLUSION

Mothers of infants with a major congenital anomaly had greater health care utilization across services. Health care utilization decreased over time or remained stable for outpatient, inpatient, and surgical care services, whereas psychiatric utilization increased for up to 13 years after an affected child's birth. Healthcare utilization was significantly elevated among mothers of children with multiple MCAs and among those at the lowest income levels.

Opiate prescribing patterns in the adolescent population following anterior cruciate ligament reconstruction

OBJECTIVE

We sought to determine prescribing patterns for opioid analgesia following anterior cruciate ligament (ACL) reconstruction among age- and gender-stratified adolescents in a nationally representative database.

DESIGN

A retrospective study.

SETTING

PearlDiver Patient Records.

PATIENTS, PARTICIPANTS

Outpatient opioid claims within 30 days of surgery were extracted. The patients were defined into age groups 10-14 ("younger") and 15-19 ("older"). A total of 1,139 patients were included in this study (536 female and 603 males) with 108 patients in the 10-14 age category and 1,034 patients in the 15-19 category.

MAIN OUTCOME MEASURE(S)

The primary study outcome measures the average number of opioid pills administered, average total morphine milligram equivalents (MMEs) prescribed, and the average prescription strength (MMEs/pill).

RESULTS

No difference was found in the average number of pills (p = 0.26) or normalized total MMEs (p = 0.312) prescribed by age group. Normalized total morphine equivalents per prescription was significantly lower in females than males (p = 0.005). Multivariate linear regression analysis demonstrated that increasing patient age was predictive of fewer total pills (p = 0.017), after accounting for gender.

CONCLUSIONS

There are age- and gender-based disparities in prescription patterns for adolescent ACL reconstruction. Our findings indicate that patients in the older age group on average received fewer pills than the younger age group, which consequently trended toward receiving higher total MMEs prescribed. This suggests that surgeons may be inadvertently overprescribing in the younger cohort. Additional studies that account for concurrent factors should be conducted to observe potentially similar trends.

Influence of team composition on turnover and efficiency of total hip and knee arthroplasty

AIMS

Surgical costs are a major component of healthcare expenditures in the USA. Intraoperative communication is a key factor contributing to patient outcomes. However, the effectiveness of communication is only partially determined by the surgeon, and understanding how non-surgeon personnel affect intraoperative communication is critical for the development of safe and cost-effective staffing guidelines. Operative efficiency is also dependent on high-functioning teams and can offer a proxy for effective communication in highly standardized procedures like primary total hip and knee arthroplasty. We aimed to evaluate how the composition and dynamics of surgical teams impact operative efficiency during arthroplasty.

METHODS

We performed a retrospective review of staff characteristics and operating times for 112 surgeries (70 primary total hip arthroplasties (THAs) and 42 primary total knee arthroplasties (TKAs)) conducted by a single surgeon over a one-year period. Each surgery was evaluated in terms of operative duration, presence of surgeon-preferred staff, and turnover of trainees, nurses, and other non-surgical personnel, controlling cases for body mass index, presence of osteoarthritis, and American Society of Anesthesiologists (ASA) score.

RESULTS

Turnover among specific types of operating room staff, including the anaesthesiologist (p = 0.011), circulating nurse (p = 0.027), and scrub nurse (p = 0.006), was significantly associated with increased operative duration. Furthermore, the presence of medical students and nursing students were associated with improved intraoperative efficiency in TKA (p = 0.048) and THA (p = 0.015), respectively. The presence of surgical fellows (p > 0.05), vendor representatives (p > 0.05), and physician assistants (p > 0.05) had no effect on intraoperative efficiency. Finally, the presence of the surgeon's 'preferred' staff did not significantly shorten operative duration, except in the case of residents (p = 0.043).

CONCLUSION

Our findings suggest that active management of surgical team turnover and composition may provide a means of improving intraoperative efficiency during THA and TKA. Cite this article: Bone Joint J 2021;103-B(2):347-352.

Reporting of demographic data and representativeness in machine learning models using electronic health records

OBJECTIVE

The development of machine learning (ML) algorithms to address a variety of issues faced in clinical practice has increased rapidly. However, questions have arisen regarding biases in their development that can affect their applicability in specific populations. We sought to evaluate whether studies developing ML models from electronic health record (EHR) data report sufficient demographic data on the study populations to demonstrate representativeness and reproducibility.

MATERIALS AND METHODS

We searched PubMed for articles applying ML models to improve clinical decision-making using EHR data. We limited our search to papers published between 2015 and 2019.

RESULTS

Across the 164 studies reviewed, demographic variables were inconsistently reported and/or included as model inputs. Race/ethnicity was not reported in 64%; gender and age were not reported in 24% and 21% of studies, respectively. Socioeconomic status of the population was not reported in 92% of studies. Studies that mentioned these variables often did not report if they were included as model inputs. Few models (12%) were validated using external populations. Few studies (17%) open-sourced their code. Populations in the ML studies include higher proportions of White and Black yet fewer Hispanic subjects compared to the general US population.

DISCUSSION

The demographic characteristics of study populations are poorly reported in the ML literature based on EHR data. Demographic representativeness in training data and model transparency is necessary to ensure that ML models are deployed in an equitable and reproducible manner. Wider adoption of reporting guidelines is warranted to improve representativeness and reproducibility.

Data Heterogeneity: The Enzyme to Catalyze Translational Bioinformatics?

Up to 95% of novel interventions demonstrating significant effects at the bench fail to translate to the bedside. In recent years, the windfalls of “big data” have afforded investigators more substrate for research than ever before. However, issues with translation have persisted: although countless biomarkers for diagnostic and therapeutic targeting have been proposed, few of these generalize effectively. We assert that inadequate heterogeneity in datasets used for discovery and validation causes their nonrepresentativeness of the diversity observed in real-world patient populations. This nonrepresentativeness is contrasted with advantages rendered by the solicitation and utilization of data heterogeneity for multisystemic disease modeling. Accordingly, we propose the potential benefits of models premised on heterogeneity to promote the Institute for Healthcare Improvement’s Triple Aim. In an era of personalized medicine, these models can confer higher quality clinical care for individuals, increased access to effective care across all populations, and lower costs for the health care system.

Achieving a Quintuple Aim for Telehealth in Pediatrics

Pediatric practice increasingly involves providing care for children with medical complexity. Telehealth offers a strategy for providers and health care systems to improve care for these patients and their families. However, lack of awareness related to the unintended negative consequences of telehealth on vulnerable populations--coupled with failure to intentional design best practices for telehealth initiatives--implies that these novel technologies may worsen health disparities in the long run. This article reviews the positive and negative implications of telehealth. In addition, to achieve optimal implementation of telehealth, it discusses 10 considerations to promote optimal care of children using these technologies.

Spinal Screening MRI Trends in Patients with Multiple Hereditary Exostoses: National Survey

Background

Multiple hereditary exostoses (MHE) is a rare disease characterized by multiple osteochondromas. Osteochondromas growing into the spinal canal can produce devastating consequences, including permanent neurologic deficits and even death. Routine screening of the entire spinal canal with magnetic resonance imaging (MRI) is a controversial topic lacking a clear consensus or recommendation to guide decision-making. This study presents a case of an intracanal osteochondroma at C1 identified by routine screening and a survey describing current practices of MHE experts.

Methods

MHE experts were surveyed. Survey questions addressed multiple aspects of care, including the type of practice center, the volume of patients with MHE, and current screening practices.

Results

A total of 104 experts were contacted, with a total of 26 experts participating in the survey and 23 completing the entire survey. Seventy-two percent of respondents do not perform a routine MRI screen of the spine. For experts that routinely screen, screening is performed across a wide/variable age range (4-18 years).

Conclusion

Screening protocols for MHE patients to identify osteochondromas within the spinal canal has struggled to reach consensus due to the rarity of the disease. Recent literature provides conflicting advice for patients without neurological symptoms. Our study demonstrates that even experts who are leading the field demonstrate wide practice variability. Most respondents do not routinely perform screening spinal MRI. Due to the wide variability, a national guideline is needed to help guide physician and parental decision-making for patients with MHE. Our case illustrates the potential benefit of identifying an osteochondroma within the spinal canal at a location where further growth could have devastating neurological sequelae.

Students Shouldn't Merely 'Survive' Medical School

A medical student reflects on what can be done to address mental illness among medical trainees.

Putting the data before the algorithm in big data addressing personalized healthcare

Technologies leveraging big data, including predictive algorithms and machine learning, are playing an increasingly important role in the delivery of healthcare. However, evidence indicates that such algorithms have the potential to worsen disparities currently intrinsic to the contemporary healthcare system, including racial biases. Blame for these deficiencies has often been placed on the algorithm-but the underlying training data bears greater responsibility for these errors, as biased outputs are inexorably produced by biased inputs. The utility, equity, and generalizability of predictive models depend on population-representative training data with robust feature sets. So while the conventional paradigm of big data is deductive in nature-clinical decision support-a future model harnesses the potential of big data for inductive reasoning. This may be conceptualized as clinical decision questioning, intended to liberate the human predictive process from preconceived lenses in data solicitation and/or interpretation. Efficacy, representativeness and generalizability are all heightened in this schema. Thus, the possible risks of biased big data arising from the inputs themselves must be acknowledged and addressed. Awareness of data deficiencies, structures for data inclusiveness, strategies for data sanitation, and mechanisms for data correction can help realize the potential of big data for a personalized medicine era. Applied deliberately, these considerations could help mitigate risks of perpetuation of health inequity amidst widespread adoption of novel applications of big data.

Orthopaedic phenotyping of NGLY1 deficiency using an international, family-led disease registry

BACKGROUND

NGLY1 deficiency is a rare autosomal recessive disorder caused by loss in enzymatic function of NGLY1, a peptide N-glycanase that has been shown to play a role in endoplasmic reticulum associated degradation (ERAD). ERAD dysfunction has been implicated in other well-described proteinopathies, such as Alzheimer's disease, Parkinson's disease, and Huntington's disease. The classical clinical tetrad includes developmental delay, hypolacrima, transiently elevated transaminases, and hyperkinetic movement disorders. The musculoskeletal system is also commonly affected, but the orthopaedic phenotype has been incompletely characterized. Best practices for orthopaedic clinical care have not been elucidated and considerable variability has resulted from this lack of evidence base. Our study surveyed patients enrolled in an international registry for NGLY1 deficiency in order to characterize the orthopaedic manifestations, sequelae, and management.

RESULTS

Our findings, encompassing the largest cohort for NGLY1 deficiency to date, detail levels of motor milestone achievement; physical exam findings; fracture rates/distribution; frequency of motor skill regression; non-pharmacologic and non-procedural interventions; pharmacologic therapies; and procedural interventions experienced by 29 participants. Regarding the orthopaedic phenotype, at time of survey response, we found that over 40% of patients experienced motor skill regression from their peak. Over 80% of patients had at least one orthopaedic diagnosis, and nearly two-thirds of the total had two or more. More than half of patients older than 6 years had sustained a fracture. Related to orthopaedic non-medical management, we found that 93 and 79% of patients had utilized physical therapy and non-operative orthoses, respectively. In turn, the vast majority took at least one medication (including for bone health and antispasmodic therapy). Finally, nearly half of patients had undergone an invasive procedure. Of those older than 6 years, two-thirds had one or more procedures. Stratification of these analyses by sex revealed distinctive differences in disease natural history and clinical management course.

CONCLUSIONS

These findings describing the orthopaedic natural history and standard of care in patients with NGLY1 deficiency can facilitate diagnosis, inform prognosis, and guide treatment recommendations in an evidence-based manner. Furthermore, the methodology is notable for its partnership with a disease-specific advocacy organization and may be generalizable to other rare disease populations. This study fills a void in the existing literature for this population and this methodology offers a precedent upon which future studies for rare diseases can build.