Academic Health System Research Articles

NO BUGS: Nosocomial operative best-practices for unplanned infections in gynecologic surgery: A 6-month retrospective.

e18765 Background: An estimated 94,000 women have newly diagnosed gynecologic cancer (ovarian, uterine, cervical, and vulvovaginal) annually–with rates increasing over the last 20 years. Surgical site infections (SSIs) complicate up to 4% of all hysterectomies in the United States. Other surgical sequelae, such as operative length, estimated blood loss, wound dehiscence, and 30-day readmission, further complicate the post-surgical course of this vulnerable population. Methods: A quality improvement initiative was conducted in a large academic health system between January to June 2022 to investigate whether implementing an SSI bundle, defined as a set of 11 evidence-based practices performed collaboratively, can reduce intraoperative and postoperative complications. The study population included women who received gynecologic oncologic surgery. To evaluate trends following the implementation of an SSI prevention bundle, we studied two time periods: 1/1/22-3/31/22 and 4/1/22-6/30/22. Trends were analyzed using chi-squared and a two-sample t-test. Results: Over our six-month study period, 233 patients underwent primary gynecologic oncologic surgery. Robotic-assisted hysterectomies were the most common (27.89%, n = 65), followed by total abdominal hysterectomies (21%, n = 49), laparoscopic hysterectomies (7.72%, n = 18), and supracervical hysterectomies (3%, n = 7). An invasive, abdominal approach was needed for less than half of the surgeries for whom intraoperative and postoperative outcomes were measured (46.35%, n = 108). Following the implementation of our SSI bundle, there was a rise in estimated blood loss (134.49 to 252.67 mL), operative length (199.24 to 227.23 min), and length of stay (1.58 to 2.20 days). Yet, there was a decline in the SSI rate from 4.62% to 3.7% (p = 0.97) and 30-day all-cause readmission from 12.96% to 7.4% (p < 0.05). The overall incidence of 30-day wound dehiscence also declined over six months from 3.7% to 1.85% (p = 0.74). Upon intersectional analysis, patients with SSI were older (55.93 vs. 62, p = 0.39) and were more likely to be obese (BMI 27.04 vs. 31.06, p < 0.05). Individuals with functional status limitations, ECOG score > 2, had longer lengths of stays (4.7 vs. 1.76 days, p < 0.05), estimated blood loss (230 vs. 185.9 mL, p = 0.12), and operative length (374 vs. 205.2 min, p < 0.001). Those with a supracervical hysterectomy also had a longer length of stays (4 days, p < 0.05), blood loss (921.43 mL, p < 0.001), and operative lengths (315.14 min, p < 0.001). Conclusions: Following the implementation of an evidence-based SSI quality improvement project, cancer patients had fewer SSI, hospital readmissions, and wound dehiscence. High ECOG scores, supracervical hysterectomies, and obesity were all associated with worse postoperative outcomes. Prospective studies on postoperative surgical quality are needed to improve care for our most vulnerable patients.

Patient- and clinician-directed implementation strategies to improve serious illness communication for high-risk patients with cancer: A cluster-randomized pragmatic trial.

1514 Background: Early serious illness conversations (SICs) elicit patients’ values, goals, and care preferences and have been shown to improve outcomes and reduce end-of-life healthcare utilization for patients with cancer. However, most patients with cancer die without a documented SIC. Given prior evidence that strategies informed by behavioral economics (“nudges”) increase SIC rates, our objective was to test the independent and additive effects of clinician- and patient-directed nudges to increase SIC completion. Methods: We conducted a 2 × 2 factorial, cluster-randomized pragmatic trial (NCT04867850) to test the effects of nudges to clinicians, patients, or both, compared to usual care, on SIC completion. Usual care was an active control consisting of clinician-directed text messages sent before routine clinic sessions, identifying patients at high risk of 6-month mortality as predicted by a validated machine-learning prognostic algorithm. The clinician nudge additionally included weekly peer comparisons on clinician-level SIC completion rates. The patient nudge consisted of a patient-facing message sent electronically before an index clinic visit, asking a 3-question survey designed to prime patients for an SIC with their oncology team. Participants included medical/gynecologic oncologists and advanced practice providers (APPs) within a large academic health system and their high-risk patients. We independently randomized oncologist/APP clusters and patients to receive nudges vs. usual care. The primary outcome was a documented SIC in the electronic health record within 6 months of enrollment. Using a Cox proportional hazards model with cluster robust standard errors, we performed a time-to-event analysis and tested for heterogeneity of effect across prespecified subgroups. Results: From September 2021 to March 2022, the study accrued 4,450 patients (median age 67, 52.9% female, 17.3% Black, 2.7% Hispanic) seen by 166 clinicians across 4 hospitals and 6 community sites, randomized to clinician nudge (n=1,179), patient nudge (n=997), both (n=1,270), or active control (n=1,004). Overall patient-level rates of 6-month SIC completion were: 11.5% (clinician nudge), 11.5% (patient nudge), 14.1% (both), and 11.2% (active control). Compared to the active control, participants in the combination nudge arm were more likely to engage in SICs (hazard ratio [HR] 1.55, 95% confidence interval [CI] 1.00-2.40), whereas those in the clinician (HR 0.95, 95% CI 0.64-1.41) and patient (HR 0.99, 95% CI 0.73-1.33) nudge arms were not. There was no effect heterogeneity across age and race subgroups. Conclusions: Clinician- and patient-directed nudges may be synergistic in promoting serious illness communication at scale and equitably in routine cancer care. Effects on end-of-life care among decedents are forthcoming. Clinical trial information: NCT04867850 .

A Comprehensive Examination of Pediatric Behavioral Health Service Demand and Utilization in a Large, Academic Health System from 2019 to 2021.

Studies of the effects of COVID-19 on youth suggest a worsening in mental health globally. We performed a retrospective analysis of data from January 2019-November 2021 for all outpatient referrals, as well as outpatient, inpatient, and emergency department (ED) encounters for behavioral health (BH) reasons in children aged < 18 in a large academic health system in the United States. Mean weekly rates of outpatient psychiatry referrals, outpatient psychiatry visits, ED visits, and inpatient admissions for BH reasons were compared between pre-pandemic and pandemic periods. The average weekly rate of ambulatory referrals (8.0 ± 0.33 to 9.4 ± 0.31) and completed appointments (194.2 ± 0.72 to 213.1 ± 0.71) significantly increased during the pandemic, driven largely by teenagers. The weekly average of ED pediatric encounters for BH did not increase during the pandemic, although the percentage of all pediatric ED encounters that were for BH did increase from 2.6 to 4.1% (p < 0.001). Length of stay for pediatric BH ED patients increased from 1.59 ± 0.09 days pre-pandemic to 1.91 ± 0.11 days post-pandemic (p < 0.0001). Inpatient admissions for BH reasons overall decreased during the pandemic, due to a decrease in inpatient psychiatric bed capacity. However, the weekly percentage of inpatient hospitalizations for BH reasons that occurred on medical units increased during the pandemic (15.2% ± 2.8-24.6% ± 4.1% (p = 0.0006)). Taken together, our data suggest the COVID-19 pandemic had varying degrees of impact, depending on the setting of care.

Confusion and anxiety in between abnormal cervical cancer screening results and colposcopy: “The land of the unknown”

ObjectiveAttendance to colposcopy after abnormal cervical cancer screening is essential to cervical cancer prevention. This qualitative study explored patients' understanding of screening results, their experiences of the time leading up to the colposcopy appointment, and colposcopy. MethodsWe recruited women referred for colposcopy from two urban practices in an academic health system. Individual interviews (N = 15) with participants were conducted after colposcopy appointments about their cervical cancer screening histories, current results, and colposcopy experiences. A team analyzed and summarized interviews and coded transcripts in Atlas.ti. ResultsWe found that most women were confused about their screening results, did not know what a colposcopy was before being referred for one, and experienced anxiety in the interval between receiving their results and having their colposcopy. Most women searched for information online, but found “misinformation,” “worst-case scenarios” and generic information that did not resolve their confusion. ConclusionWomen had little understanding of their cervical cancer risk and experienced anxiety looking for information and waiting for the colposcopy. Educating patients about cervical precancer and colposcopy, providing tailored information about their abnormal screening test results and potential next steps, and helping women manage distress may alleviate uncertainty while waiting for follow-up appointments. Practice implicationsInterventions to manage uncertainty and distress in the interval between receiving an abnormal screening test result and attending colposcopy are needed, even among highly adherent patients.

Hospitalizations, Emergency Department Visits, and Home Health Use Among Older Adults With Sensory Loss.

Objectives: This study examines healthcare resource use (hospitalizations, emergency department [ED] visits, and home health episodes) among adults 65 and older diagnosed with hearing, vision, or dual sensory loss (SL) seen in the primary care setting of an academic health system. Methods: Multivariable logistic regression models were used to examine the relationship between SL (identified using ICD-10 codes) and healthcare resource use for 45,000 primary care patients. Results: The sample included 5.5% (N = 2479) with hearing loss, 10.4% (N = 4697) with vision loss, and 1.0% with dual SL (N = 469). Hearing loss increased the likelihood of having an ED visit (OR = 1.22, CI: 1.07-1.39), and home health services (OR = 1.27, CI: 1.07-1.51) compared to older adults without any SL. Vision loss reduced the likelihood of having a hospitalization (OR = .81, CI: .73-.91). Discussion: Findings support research into the drivers of healthcare use among older adults with sensory loss.

Characterizing the treatment gap in the United States among adult patients with a new diagnosis of epilepsy.

Epilepsy is largely a treatable condition with antiseizure medication (ASM). Recent national administrative claims data suggest one third of newly diagnosed adult epilepsy patients remain untreated 3 years after diagnosis. We aimed to quantify and characterize this treatment gap within a large US academic health system leveraging the electronic health record for enriched clinical detail. This retrospective cohort study evaluated the proportion of adult patients in the health system from 2012 to 2020 who remained untreated 3 years after initial epilepsy diagnosis. To identify incident epilepsy, we applied validated administrative health data criteria of two encounters for epilepsy/seizures and/or convulsions, and we required no ASM prescription preceding the first encounter. Engagement with the health system at least 2 years before and at least 3 years after diagnosis was required. Among subjects who met administrative data diagnosis criteria, we manually reviewed medical records for a subset of 240 subjects to verify epilepsy diagnosis, confirm treatment status, and elucidate reason for nontreatment. These results were applied to estimate the proportion of the full cohort with untreated epilepsy. Of 831 patients who were automatically classified as having incident epilepsy by inclusion criteria, 80 (10%) remained untreated 3 years after incident epilepsy diagnosis. Manual chart review of incident epilepsy classification revealed only 33% (78/240) had true incident epilepsy. We found untreated patients were more frequently misclassified (p < .001). Using corrected counts, we extrapolated to the full cohort (831) and estimated <1%-3% had true untreated epilepsy. We found a substantially lower proportion of patients with newly diagnosed epilepsy remained untreated compared to previous estimates from administrative data analysis. Manual chart review revealed patients were frequently misclassified as having incident epilepsy, particularly patients who were not treated with an ASM. Administrative data analyses utilizing only diagnosis codes may misclassify patients as having incident epilepsy.

Older Adults' Perspectives on Screening for Cognitive Impairment Following Critical Illness: Pre-Implementation Qualitative Study.

Qualitative study using semi-structured interviews. Adults 60 years and older within 3 months of discharge from an ICU in an academic health system. Interviews were conducted via telephone, audio recorded and transcribed verbatim. All transcripts were coded in duplicate. Discrepancies were resolved by consensus. Codes were organized into themes and subthemes inductively. We completed 22 interviews. The mean age of participants was 71 ± 6 years, 14 (63.6%) were men, 16 (72.7%) were White, and 6 (27.3%) were Black. Thematic analysis was organized around four themes: 1) receptivity to screening, 2) communication preferences, 3) information needs, and 4) provider involvement. Most participants were receptive to cognitive screening; this was influenced by trust in their providers and prior experience with cognitive screening and impairment. Participants preferred simple, direct, compassionate communication. They wanted to understand the screening procedure, the rationale for screening, and expectations for recovery. Participants desired input from their primary care provider to have their cognitive screening results placed in the context of their overall health, because they had a trusted relationship, and for convenience. Participants demonstrated limited understanding of and exposure to cognitive screening but see it as potentially beneficial following an ICU stay. Providers should use simple, straightforward language and place emphasis on expectations. Resources may be needed to assist primary care providers with capacity to provide cognitive screening and interpret results for ICU survivors. Implementation strategies can include educational materials for clinicians and patients on rationale for screening and recovery expectations.

Does the Stopping Opioids After Surgery Score Perform Well Among Racial and Socioeconomic Subgroups?

The Stopping Opioids After Surgery (SOS) score is a validated tool that was developed to determine the risk of sustained opioid use after surgical interventions, including orthopaedic procedures. Despite prior investigations validating the SOS score in diverse contexts, its performance across racial, ethnic, and socioeconomic subgroups has not been assessed. In a large, urban, academic health network, did the performance of the SOS score differ depending on (1) race and ethnicity or (2) socioeconomic status? This retrospective investigation was conducted using data from an internal, longitudinally maintained registry of a large, urban, academic health system in the Northeastern United States. Between January 1, 2018, and March 31, 2022, we treated 26,732 adult patients via rotator cuff repair, lumbar discectomy, lumbar fusion, TKA, THA, ankle or distal radius open reduction and internal fixation, or ACL reconstruction. We excluded 1% of patients (274 of 26,732) because of missing length of stay information, 0.06% (15) for missing discharge information, 1% (310) for missing medication information related to loss to follow-up, and 0.07% (19) who died during their hospital stay. Based on these inclusion and exclusion criteria, 26,114 adult patients were left for analysis. The median age in our cohort was 63 years (IQR 52 to 71), and most patients were women (52% [13,462 of 26,114]). Most patients self-reported their race and ethnicity as non-Hispanic White (78% [20,408 of 26,114]), but the cohort also included non-Hispanic Black (4% [939]), non-Hispanic Asian (2% [638]), and Hispanic (1% [365]) patients. Five percent (1295) of patients were of low socioeconomic status, defined by prior SOS score investigations as patients with Medicaid insurance. Components of the SOS score and the observed frequency of sustained postoperative opioid prescriptions were abstracted. The performance of the SOS score was compared across racial, ethnic, and socioeconomic subgroups using the c-statistic, which measures the capacity of the model to differentiate between patients with and without sustained opioid use. This measure should be interpreted on a scale between 0 and 1, where 0 represents a model that perfectly predicts the wrong classification, 0.5 represents performance no better than chance, and 1.0 represents perfect discrimination. Scores less than 0.7 are generally considered poor. The baseline performance of the SOS score in past investigations has ranged from 0.76 to 0.80. The c-statistic for non-Hispanic White patients was 0.79 (95% CI 0.78 to 0.81), which fell within the range of past investigations. The SOS score performed worse for Hispanic patients (c-statistic 0.66 [95% CI 0.52 to 0.79]; p < 0.001), where it tended to overestimate patients' risks of sustained opioid use. The SOS score for non-Hispanic Asian patients did not perform worse than in the White patient population (c-statistic 0.79 [95% CI 0.67 to 0.90]; p = 0.65). Similarly, the degree of overlapping CIs suggests that the SOS score did not perform worse in the non-Hispanic Black population (c-statistic 0.75 [95% CI 0.69 to 0.81]; p = 0.003). There was no difference in score performance among socioeconomic groups (c-statistic 0.79 [95% CI 0.74 to 0.83] for socioeconomically disadvantaged patients; 0.78 [95% CI 0.77 to 0.80] for patients who were not socioeconomically disadvantaged; p = 0.92). The SOS score performed adequately for non-Hispanic White patients but performed worse for Hispanic patients, where the 95% CI nearly included an area under the curve value of 0.5, suggesting that the tool is no better than chance at predicting sustained opioid use for Hispanic patients. In the Hispanic population, it commonly overestimated the risk of opioid dependence. Its performance did not differ among patients of different sociodemographic backgrounds. Future studies might seek to contextualize why the SOS score overestimates expected opioid prescriptions for Hispanic patients and how the utility performs among more specific Hispanic subgroups. The SOS score is a valuable tool in ongoing efforts to combat the opioid epidemic; however, disparities exist in terms of its clinical applicability. Based on this analysis, the SOS score should not be used for Hispanic patients. Additionally, we provide a framework for how other predictive models should be tested in various lesser-represented populations before implementation.

The optimal gestational age to deliver patients with chronic hypertension on antihypertensive therapy

Objective To identify the optimal gestational age of planned delivery in pregnancies complicated by chronic hypertension requiring antihypertensive medications that minimizes the risk of adverse perinatal events and maternal morbidity. Methods Retrospective cohort study of singleton pregnancies after 37 weeks of gestation complicated by chronic hypertension on antihypertensive medication, delivered at 7 hospitals within an academic health system in New York from 12/1/2015 to 9/3/2020. Two comparisons were made (1) planned deliveries at 37–376/7 weeks versus expectant management, (2) planned deliveries at 38–386/7 weeks versus expectant management. Patients with other maternal or fetal conditions were excluded. The primary outcome was a composite of adverse perinatal outcomes including stillbirth, neonatal death, assisted ventilation, cord pH < 7.0, 5-minute Apgar ≤5, diagnosis of respiratory disorder, and neonatal seizures. The secondary outcomes included preeclampsia, eclampsia, primary cesarean delivery, postpartum readmission, and infant stay greater than 5 days. Odds ratios were estimated with multiple logistic regression and adjusted for confounding effects. Results A total of 555 patients met inclusion criteria. Patients who underwent planned delivery at 37 weeks compared to expectant management did not appear to be at higher risk of adverse perinatal outcomes (14.9% vs 10.4%, aOR 1.49, 95% CI: 0.77–2.88). Similarly, we did not find a difference in the primary outcome in patients who underwent planned delivery at 38 weeks versus those expectantly managed (9.7% vs 10.1%, (aOR 0.84, 95% CI: 0.39–1.76). There were no differences in the rates of primary cesarean or preeclampsia at 37 and 38 weeks. Conclusion Our findings suggest that there is no difference in neonatal or maternal outcomes for chronic hypertensive patients on medication if delivery is planned or expectantly managed at 37 or 38 weeks’ gestation.

Transforming Health Care from Volume to Value: Moving the Needle Through Population Health

United States health systems face unique challenges in transitioning from volume-based to value-based care, particularly for academic institutions. Providing complex specialty and tertiary care dependent on servicing large geographic areas, and concomitantly meeting education and research academic missions may limit the time and resources available for focusing on the care coordination needs of complex local populations. Despite these challenges, academic medicine is well situated to capitalize on the promise of value-based care and to lead broad improvements in both teaching and nonteaching hospitals. If properly executed, value-based care and complex specialty care can be complementary and synergistic. We postulate that the transition from volume to value in population health requires all health care organizations to advance and formalize infrastructure in 3 core areas: organizational capabilities; provider engagement; and engagement of the patient, family, and community. Although these apply to all organizations, for academic health systems, this transition must also be interwoven with the other domains of the tripartite mission.

Implementation of an integrated ambulatory care pharmacist collaborative care workflow model in specialty clinics in a large academic health system.

Ambulatory care and specialty pharmacy practices are rapidly growing in tandem with the accelerated development of advanced therapies for complex disease states. A coordinated and standardized interprofessional team-based approach is critical to providing high-quality care to specialty patients on complex, expensive, and high-risk therapies. Yale New Haven Health System dedicated resources to the creation of a medication management clinic under a unique care model that integrates ambulatory care pharmacists within specialty clinics who coordinate with centralized specialty pharmacists. The new care model workflow encompasses ambulatory care pharmacists, specialty pharmacists, ambulatory care pharmacy technicians, specialty pharmacy liaisons, clinicians, and clinic support staff. The strategies employed to design, implement, and optimize this workflow to meet the increasing demand for pharmacy support in specialty care is discussed. The workflow incorporated key activities from highly diverse existing specialty pharmacy, ambulatory care pharmacy, and specialty clinic practices. Standard processes were developed for patient identification, referral placement, visit scheduling, encounter documentation, medication fulfillment, and clinical follow-up. Resources were created or optimized to support successful implementation, including an electronic pharmacy referral, specialty collaborative practice agreements to facilitate pharmacist-led comprehensive medication management, and a standardized note template. Communication strategies were developed to facilitate feedback and process updates. Enhancements focused on eliminating documentation redundancies and delegating nonclinical tasks to a dedicated ambulatory care pharmacy technician. The workflow was implemented in 5 ambulatory rheumatology, digestive health, and infectious diseases clinics. Pharmacists utilized this workflow to complete 1,237 patient visits, serving 550 individual patients over 11 months. This initiative created a standard workflow to support an interdisciplinary standard of specialty patient care that is robust to accommodate planned expansion. This workflow implementation approach can serve as a road map for other healthcare systems with integrated specialty and ambulatory pharmacy departments undertaking similar models for specialty patient management.

Patient and care partner assessments of diagnostic excellence in the emergency department: A cognitive interview study

BackgroundDiagnostic excellence encompasses both receiving an accurate and timely explanation of a health problem that was communicated well, and the process it took to get to the correct diagnosis. Directly eliciting patients’ perceptions of their diagnostic experience and outcomes after emergency visits is a promising method of assessing diagnostic excellence. However, little is known about how patients interpret and respond to questions about their diagnostic experiences and outcomes. ObjectiveTo analyze patient and care partners’ interpretation of questions capturing patient-reported diagnostic excellence in emergency settings. DesignCognitive interviews using think-aloud and probing methods. Setting(s)Interviews were conducted virtually and via phone calls. Participants were patients or care partners of patients recently discharged from three emergency departments within a single academic health system in the Mid-Atlantic region of the US. Participants15 patients and care partners, 18 years or older, with recent emergency department experiences. MethodsQualitative analysis using a deductive approach was used to code transcripts and analyze participant responses to Patient-Report to Improve Diagnostic Excellence in Emergency Department (PRIME-ED) questionnaire items. Themes of patient and care partners’ questionnaire interpretations are presented descriptively. Results80% of participants were female, 47% were between the ages of 18–24 years, 47% of participants were White, and 7% were Hispanic/Latino. Participants shared their interpretations of diagnostic excellence following PRIME-ED domains: diagnostic accuracy and care team skills, their comprehension of the diagnosis, provider communication of uncertainty, and quality of diagnostic communication, including whether they felt the care team communicated well, adapted communication to their needs, listened and took concerns seriously, treated them as an equal, and provided clear, sufficient, and functional communication about follow-up steps. Responses indicated that patients and care partners can identify diagnostic errors, rationalize why their diagnosis was inaccurate, and assess whether diagnostic excellence was achieved. Respondents identified factors that contributed to their assessments of diagnostic accuracy and the quality of diagnostic communication. The quality of diagnostic communication contributed to patient perception of diagnostic accuracy and understanding of the diagnosis. ConclusionsPatient report is a useful tool for assessing diagnostic excellence in emergency settings. Our patient and care partners describe how they assess diagnostic excellence in the emergency department.Registration: N/A.Tweetable abstract: Patients and care partners provide accessible and useful information to assess diagnostic practices and diagnostic excellence in emergency departments.

Preliminary Pilot-Testing of Social Determinants of Health Screener for Individuals With Intellectual and Developmental Disabilities in Med-Peds.

In the United States, one in six children has an intellectual and/or developmental disability (I/DD), including attention deficit hyperactivity disorder (ADHD), autism, cerebral palsy, learning disabilities, seizures, and developmental delays, with or without intellectual impairment. Individuals with I/DDs experience disproportionate rates of immune, metabolic, cardiovascular, and neurological disorders, as well as anxiety, depression, functional somatic symptoms, and other co-occurring physical and mental health conditions. During the coronavirus disease 2019 (COVID-19) pandemic, having an I/DD emerged as one of the strongest predictors of contracting and dying from COVID-19. These findings spurred increased attention toward the myriad health inequities affecting this population well before the pandemic. While inequities for individuals with I/DD can be traced to many factors, social determinants of health (SDOH) - the underlying social, economic, and environmental conditionsthat lead to poor health outcomes and high healthcare costs - are key contributors. Our interdisciplinary combined internal medicine and pediatrics (Med-Peds) team of physicians, psychologists, and researchers within a large, diverse, academic health system aimed to pilot-test the implementation of a five-item SDOH screener within a Med-Peds specialty clinic focused on the developmental needs of individuals with I/DD and their families (Leadership Education in Neurodevelopmental Disabilities {LEND}) and a general primary care practice (PCP).The SDOH screener tested in this initiative includes five items from the Accountable Health Communities (AHC) Health-Related Social Needs Screening Tool (HRSN) assessing social isolation, food insecurity, transportation, and paying for basic needs, such as housing and medical care. In this study, we describe the process of implementing this screener and collecting initial pilot data from 747 patients between October 2022 and April 2023 across the LEND and the primary care practice. We also highlight the challenges and opportunities identified during the mid-way point of implementation and pilot testing. The results of this pilot study revealed low response rates among SDOH screeners, spurring several measures to increase uptake, including increasing the accessibility of the screener and ensuring the screener results in effective referrals. We call on additional Med-Peds healthcare teams without universal SDOH screening protocols in place - particularly those serving the I/DD population - to consider adopting these practices.

Young Birthing Age and Delivery and Neonatal Outcomes [ID: 1356517

INTRODUCTION: The objective of this study is to examine differences in obstetric delivery and neonatal outcomes between young birthing patients (age 18 years or younger) and a standard risk birthing population (age 25–30 years). METHODS: This is a retrospective cohort study of patients delivering between 2012 and 2017 in a single urban academic health system. Outcomes were examined for a young birthing cohort (n=528) and compared with a standard risk cohort age 25–30 years (n=937). This study was identified as exempt by the local IRB. RESULTS: When examining delivery outcomes, young birthing age was associated with a lower risk of cesarean section, even after adjusting for a history of prior cesarean section (13.4% versus 30.7%, adjusted odds ratio [aOR] 0.41), and a lower risk of postpartum hemorrhage (8.5% versus 12.85, aOR 0.48), all with P&lt;.05. However, young age was also associated with an increased risk of delivery at less than 37 weeks of gestation (15.2% versus 9.5%, OR 1.96). When examining neonatal outcomes, young birthing age was associated with a lower rate of congenital anomalies at birth (6.6% versus 14.4%, aOR 0.42). After adjusting for covariates, there was no difference in low birth weight or neonatal intensive care unit (NICU) admission. CONCLUSION: Young birthing patients have delivery outcomes that vary from those of a standard birthing cohort, with a lower risk of cesarean delivery and postpartum hemorrhage but an increased risk of preterm birth. In addition, younger birthing patients have a lower risk of anomalies identified at birth but no increased risk of lower birth weight or NICU admission. These data may help tailor birthing programs for younger patients to better address their specific delivery risks.

Multicomponent provider–patient intervention to improve glycaemic control in Medicaid-insured pregnant individuals with type 2 diabetes: clinical trial protocol for the ACHIEVE study

IntroductionType 2 diabetes (T2D) is one of the most frequent comorbid medical conditions in pregnancy. Glycaemic control decreases the risk of adverse pregnancy outcomes for the pregnant individual and infant....

Evaluation of Patient Cost Savings in Tailored Prenatal Pathways [ID: 1375747

INTRODUCTION: The Plan for Appropriate Tailored Healthcare in pregnancy (PATH) recommends tailoring prenatal visit schedules and modality (eg, telemedicine visits) to patients' risk factors and preferences. We simulated PATH recommendations to explore financial implications from the patient perspective. METHODS: In this IRB-exempt study, a dataset of 4,992 patients from a single academic health system was used to establish key assumptions for financial modeling. The model was constructed using several key parameters: patient risk, travel, and employment variables. We report patient-perspective cost and time savings across three models: traditional care (all patients seen for 12–14 in-person visits), tailored prenatal care (visit number tailored to patient risk), and hybrid tailored care (tailored care with telemedicine and in-person visits). RESULTS: Implementation of tailored care resulted in substantial cost and time savings. In the traditional model, average travel time was 26 hours and average total cost per patient was $1,374 (time off cost, $1,310; travel cost, $64). In the tailored model, patients saved on average 5 hours of travel time and $172 (total cost, $1,201; time off cost, $1,145; travel cost, $56). In the hybrid tailored model, patients saved on average 18 hours of travel and $792 (total cost, $581; time-off cost, $525; travel cost, $21; at-home supplies, $35). Extrapolated across all patients who sought prenatal care in 2020, estimated national cost savings range from approximately $0.5B and $2B annually for the in-person tailored and hybrid tailored model, respectively. CONCLUSION: Tailored prenatal care delivery policies, particularly those that include telemedicine, result in significant time and cost savings for patients.

A Technology-Driven, Healthcare-Based Intervention to Improve Family Beverage Choices: Results from a Pilot Randomized Trial in the United States

Background: Healthcare-based interventions to address sugary beverage intake could achieve broad reach, but intensive in-person interventions are unsustainable in clinical settings. Technology-based interventions may provide an alternative, scalable approach. Methods: Within an academic health system in the United States that already performs electronic health record-based sugary drink screening, we conducted a pilot randomized trial of a technology-driven family beverage choice intervention. The goal of the intervention was to reduce sugar-sweetened beverage (SSB) and fruit juice (FJ) consumption in 60 parent–child dyads, in which children were 1–8 years old. The pediatrician-initiated intervention consisted of a water promotion toolkit, a video, a mobile phone application, and 14 interactive voice-response phone calls to parents over 6 months. The study was conducted between June 2021 and May 2022. The aim of the pilot study was to assess the potential feasibility and efficacy of the newly developed intervention. Results: Intervention fidelity was excellent, and acceptability was high for all intervention components. Children in both the intervention and the control groups substantially decreased their consumption of SSB and FJ over follow-up (mean combined baseline 2.5 servings/day vs. 1.4/day at 6 months) and increased water consumption, but constrained linear mixed-effects models showed no differences between groups on these measures. Compared to parents in the control group, intervention parents had larger decreases in SSB intake at 3 months (−0.80 (95% CI: −1.54, −0.06, p = 0.03) servings daily), but these differences were not sustained at 6 months. Conclusion: These findings suggest that, though practical to implement in a clinical care setting and acceptable to a diverse participant group, our multicomponent intervention may not be universally necessary to achieve meaningful behavior changes around family beverage choice. A lower-intensity intervention, such as EHR-based clinical screening alone, might be a less resource-intense way for health systems to achieve similar behavioral outcomes. Future studies might therefore explore whether, instead of applying a full intervention to all families whose children overconsume SSB or FJ, a stepped approach, starting with clinical screening and brief counseling, could be a better use of health system resources.

Socioeconomic disparities in fertility treatments and associated likelihood of livebirth following in vitro fertilization

To determine whether neighborhood-level socioeconomic characteristics are associated with the likelihood of livebirth (LB) following in vitro fertilization (IVF). Specifically, we evaluated neighborhood-level household income, unemployment rate, and educational attainment. A retrospective cross-sectional study was conducted for patients undergoing autologous IVF cycles. Large academic health system. For each patient, ZIP code of residence was used as a proxy for neighborhood. Neighborhood characteristics were compared between patients with and without LB. Generalized estimating model was used to adjust the association between SES factors and likelihood of a live birth with respect to relevant clinical factors. A total of 4942 autologous IVF cycles from 2768 patients were included: 1717 (62.0%) had at least one associated LB. Patients who achieved LB from IVF were younger, had higher anti-Mullerian hormone (AMH) levels, lower body mass index (BMI), and differed by ethnic background, primary language, and neighborhood socioeconomic characteristics. In a multivariable model, language, age, AMH, and BMI were associated with a live birth from IVF. None of the neighborhood-level socioeconomic variables were associated with the total number of IVF cycles or cycles required to achieve first LB. Patients living in neighborhoods with lower annual household income have lower odds of livebirth after IVF compared to those living in more affluent areas, despite undergoing the same number of IVF stimulation cycles.

The Academic Learning Health System: A Framework for Integrating the Multiple Missions of Academic Medical Centers.

The learning health system (LHS) has emerged over the past 15 years as a concept for improving health care delivery. Core aspects of the LHS concept include: promoting improved patient care through organizational learning, innovation, and continuous quality improvement; identifying, critically assessing, and translating knowledge and evidence into improved practices; building new knowledge and evidence around how to improve health care and health outcomes; analyzing clinical data to support learning, knowledge generation, and improved patient care; and engaging clinicians, patients, and other stakeholders in processes of learning, knowledge generation, and translation. However, the literature has paid less attention to how these LHS aspects may integrate with the multiple missions of academic medical centers (AMCs). The authors define an academic learning health system (aLHS) as an LHS built around a robust academic community and central academic mission, and they propose 6 features that emphasize how an aLHS differs from an LHS. An aLHS capitalizes on embedded academic expertise in health system sciences; engages the full spectrum of translational investigation from mechanistic basic sciences to population health; builds pipelines of experts in LHS sciences and clinicians with fluency in practicing in an LHS; applies core LHS principles to the development of curricula and clinical rotations for medical students, housestaff, and other learners; disseminates knowledge more broadly to advance the evidence for clinical practice and health systems science methods; and addresses social determinants of health, creating community partnerships to mitigate disparities and improve health equity. As AMCs evolve, the authors expect that additional differentiating features and ways to operationalize the aLHS will be identified and hope this article stimulates further discussion around the intersection of the LHS concept and AMCs.

Qualitative Perspectives of Emergency Nurses on Electronic Health Record Behavioral Flags to Promote Workplace Safety

Emergency nurses experience high levels of workplace violence during patient interactions. Little is known about the efficacy of behavioral flags, which are notifications embedded within electronic health records (EHRs) as a tool to promote clinician safety. To explore the perspectives of emergency nurses on EHR behavioral flags, workplace safety, and patient care. In this qualitative study, semistructured interviews were conducted with emergency nurses at an academic, urban emergency department (ED) between February 8 and March 25, 2022. Interviews were audio recorded, transcribed, and analyzed using thematic analysis. Data analysis was performed from April 2 to 13, 2022. Themes and subthemes of nursing perspectives on EHR behavioral flags were identified. This study included 25 registered emergency nurses at a large academic health system, with a mean (SD) tenure of 5 (6) years in the ED. Their mean (SD) age was 33 (7) years; 19 were women (76%) and 6 were men (24%). Participants self-reported their race as Asian (3 [12%]), Black (3 [12%]), White (15 [60%]), or multiple races (2 [8%]); 3 participants (12%) self-reported their ethnicity as Hispanic or Latinx. Five themes (with subthemes) were identified: (1) benefits of flags (useful advisory; prevents violence; engenders compassion), (2) issues with flags (administrative and process issues; unhelpful; unenforceable; bias; outdated), (3) patient transparency (patient accountability; damages patient-clinician relationship), (4) system improvements (process; built environment; human resources; zero-tolerance policies), and (5) difficulties of working in the ED (harassment and abuse; unmet mental health needs of patients; COVID-19-related strain and burnout). In this qualitative study, nursing perspectives on the utility and importance of EHR behavioral flags varied. For many, flags served as an important forewarning to approach patient interactions with more caution or use safety skills. However, nurses were skeptical of the ability of flags to prevent violence from occurring and noted concern for the unintended consequences of introducing bias into patient care. These findings suggest that changes to the deployment and utilization of flags, in concert with other safety interventions, are needed to create a safer work environment and mitigate bias.