Association between maternal employment status and presence of children with major congenital anomalies in Denmark.

IMPORTANCE: The burden of caring for children with complex medical problems such as major congenital anomalies falls principally on mothers, who in turn suffer a variety of potentially severe economic consequences. As well, health consequences of caregiving often further impact the social and economic prospects of mothers of children with major congenital anomalies (MCMCAs). Evaluating the long-term economic consequences of extensive in-home caregiving among MCMCAs can inform strategies to mitigate these effects. OBJECTIVE: To assess whether MCMCAs face reduced employment and increased need for disability benefits over a 20-year period. DESIGN: A population-based matched cohort study. SETTING: Denmark. PARTICIPANTS: All women who gave birth to a singleton child with a major congenital anomaly in Denmark between January 1, 1997 and December 31, 2017 (n = 23,637) and a comparison cohort of mothers matched by maternal age, parity, and infant's year of birth (n = 234,586). EXPOSURES: Liveborn infant with a major congenital anomaly. MAIN OUTCOMES AND MEASURES: The primary outcome was mothers' employment status, stratified by their child's age. Employment status was categorized as employed, outside the workforce (on temporary leave, holding a flexible job, or pursuing education), or unemployed; the number of weeks in each category was measured over time. The secondary outcome was time to receipt of a disability pension, which in Denmark implies permanent exit from the labor market. We used a negative binomial regression model to estimate the number of weeks in each employment category, stratified by the child's age (i.e., 0-1 year, > 1-6 years, 7-13 years, 14-18 years). A Cox proportional hazards regression model was used to compute hazard ratios as a measure of the relative risk of receiving a disability pension. Rate ratios and hazard ratios were adjusted for maternal demographics, pregnancy history, health, and infant's year of birth. RESULTS: During 1-6 years after delivery, MCMCAs were outside the workforce for a median of 50 weeks (IQR, 6-107 weeks), while members of the comparison cohort were outside the workforce for a median of 48 weeks (IQR, 4-98 weeks), corresponding to an adjusted rate ratio [ARR] of 1.05 (95% confidence interval [CI], 1.04-1.07). During the first year after delivery, MCMCAs were more likely to be employed than mothers in the comparison cohort (ARR, 1.08; 95% CI, 1.06-1.10). At all timepoints thereafter, MCMCAs had a lower rate of workforce participation. The rate of being outside the workforce was 5% higher than mothers in the comparison cohort during 1-6 years after delivery (ARR, 1.05; 95% CI, 1.04-1.07), 9% higher during 7-13 years after delivery (ARR, 1.09; 95% CI, 1.06-1.12), and 12% higher during 14-18 years after delivery (ARR, 1.12; 95% CI, 1.07-1.18). Overall, MCMCAs had a 20% increased risk of receiving a disability pension during follow-up than mothers in the matched comparison cohort [incidence rates 3.10 per 1000 person-years (95% CI, 2.89-3.32) vs. 2.34 per 1000 person-years (95% CI, 2.29-2.40), adjusted hazard ratio, 1.20; 95% CI, 1.11-1.29]. CONCLUSION AND RELEVANCE: MCMCAs were less likely to participate in the Danish workforce, less likely to be employed, and more likely to receive disability pensions than mothers of unaffected children. The rate of leaving the workforce intensified as their affected children grew older. The high demands of caregiving among MCMCAs may have long-term employment consequences even in nations with comprehensive and heavily tax-supported childcare systems, such as Denmark.

Use of Peripheral Nerve Blocks Is Not Associated With Decreased Postoperative Opioid Prescription After ACL Reconstruction in Adolescents.

The rate of anterior cruciate ligament (ACL) injuries and reconstruction in pediatric patients is increasing. Perioperative peripheral nerve blocks (PNBs) are widely used for pain management in this population. We used a multi-state administrative claims database to describe the effect of PNB after ACL reconstruction on postoperative opioid consumption. We identified patients 10 to 18 years old undergoing primary ACL reconstruction between 2014 and 2016 in an administrative claims database. Patients filling an outpatient perioperative prescription for opioids with at least 1 year of follow-up were included. We stratified patients based on PNB. Our primary outcome was opioid prescription patterns (in morphine milligram equivalents [MMEs]) and incidence of opioid represcription. Of the 4459 cases, 2432 (54.5%) of the patients were given a PNB during ACL reconstruction while 2027 (45.5%) were not. Patients with PNB were prescribed more MMEs per day (76.1±41.7 vs 62.7±35.7 MMEs, P<.001), more pills (63.6±53.1 vs 54.4±40.6 pills, P<.001), higher MMEs per pill (10.0±9.5 vs 8.3±5.0 MMEs, P<.001), and more total MMEs (460.6±259.4 vs 355.7±215.1 MMEs, P<.001) than patients without PNB. Adjusting for prescription patterns and demographic variables with logistic regression, PNBs were associated with a 60% increase in the odds of opioid represcription within 30 days and a 32% increase in the odds of opioid represcription within 90 days. We demonstrated an increase in postoperative opioid prescription rates with PNB after ACL reconstruction. [Orthopedics. 2024;47(2):83-88.].

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.

As Superbugs Flourish, Bacteriophage Therapy Recaptures Researchers' Interest.

This Medical News article discusses the resurgence of phage therapy research for antibiotic-resistant infections.

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 Value of Scientific Publications in Surgical Device Innovation.

BACKGROUND: Clinical trials represent a significant risk in the commercialization of surgical technologies. There is incentive for companies to mitigate their regulatory risk by targeting 510K over Premarket Approval (PMA) pathways in order to limit the scope, complexity and cost of clinical trials. As such, not all companies will publish clinical data in the scientific literature. PURPOSE: We set out to investigate the relationship between scientific publication by surgical device companies and the impact it has on company valuation. We hypothesize that publishing in the scientific literature correlates with success of the surgical device companies as measured by funding. RESEARCH DESIGN: We first obtained a list of surgical device startup companies and their financial deals using the Pitchbook database. Those companies were then cross referenced with the FDA database and the Dimensions database for product registrations and peer reviewed publications, respectively. Analysis was then performed using these query results. STUDY SAMPLE AND DATA COLLECTION: We obtained a list of US surgical device startups financing deals closed between 2010 and 2020 from the Pitchbook database. We queried the Pitchbook for deal dates from January 1, 2010 to January 1, 2020 for deal types spanning early stage investment to IPO. Deals were limited to those conducted in the United States and to the surgical device industry. We queried the FDA database for product registration information associated with each of the companies involved in the deals. We tabulated the number of journal articles associated with surgical device companies using the Dimensions Search API as well as a manual confirmation. RESULTS: Five hundred thirty five (535) deals from 222 companies were found in Pitchbook that met our criteria. Querying the FDA database resulted in 578 registrations associated with these companies. Publications per company ranged widely. CONCLUSIONS: Companies that are able to generate a more numerous publications had correspondingly higher valuations during funding rounds. A subset of outstanding companies were analyzed and at least four factors affect: direct value of publications, indirect valve of publications, survivorship bias, and adoption share; each of which will be discussed in this manuscript.

Does healthcare system device volume correlate with price paid for spinal implants: a cross-sectional analysis of a national purchasing database.

OBJECTIVES: Amid continuously rising US healthcare costs, particularly for inpatient and surgical services, strategies to more effectively manage supply chain expenses are urgently necessary. Across industries, the 'economy of scale' principle indicates that larger purchasing volumes should correspond to lower prices due to 'bulk discounts'. Even as such advantages of scale have driven health system mergers in the USA, it is not clear whether they are being achieved, including for specialised products like surgical implants which may be more vulnerable to cost inefficiency. The objective of this observational cross-sectional study was to investigate whether purchasing volumes for spinal implants was correlated with price paid. SETTING: USA. PARTICIPANTS: Market data based on pricing levels for spine implants were reviewed from industry implant price databases. Filters were applied to narrow the sample to include comparable institutions based on procedural volume, patient characteristics and geographical considerations. Information on the attributes of 619 health systems representing 12 471 provider locations was derived from national databases and analytics platforms. PRIMARY OUTCOME MEASURE: Institution-specific price index paid for spinal implants, normalised to the national average price point achieved. RESULTS: A Spearman's correlation test indicated a weak relationship between purchasing volume and price index paid (ρ=-0.35, p<0.001). Multivariable linear regression adjusting for institutional characteristics including type of hospital, accountable care organisation status, payer-mix, geography, number of staffed beds, number of affiliated physicians and volume of patient throughput also did not exhibit a statistically significant relationship between purchasing volume and price index performance (p=0.085). CONCLUSIONS: National supply chain data revealed that there was no significant relationship between purchasing volume and price paid by health systems for spinal implants. These findings suggest that factors other than purchasing or patient volume are responsible for setting prices paid by health systems to surgical vendors and/or larger healthcare systems are not negotiating in a way to consistently achieve optimal pricing.

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.