Electronic Health Record Review Research Articles

Promotion of Influenza Vaccination in the Emergency Department

BackgroundInfluenza vaccine uptake is low among underserved populations whose primary health care access occurs in emergency departments. We sought to determine whether implementation of two interventions would increase 30-day influenza vaccine uptake in unvaccinated patients in the emergency department.MethodsThis three-group, prospective, cluster-randomized controlled trial compared two interventions with a control group in noncritically ill, adult patients in the emergency department who were not vaccinated for influenza in the current vaccine season. The unit of randomization was individual calendar days. Participants received either Intervention M (an influenza vaccine messaging platform consisting of a video, one-page flyer, and scripted message, followed by a vaccine acceptance question and provider notification if participants indicated vaccine acceptance), Intervention Q (no messaging but the vaccine acceptance question and provider notification), or control (usual care/no intervention). The primary outcome was receipt of an influenza vaccine at 30 days ascertained by electronic health record review and telephone follow-up, comparing the Intervention M group with the control group. Secondary outcomes included comparisons of 30-day vaccine uptake in Intervention Q versus control and Intervention M versus Intervention Q.ResultsBetween October 2022 and February 2023, a total of 767 trial participants were enrolled at six emergency departments in five U.S. cities. Median age was 46 years; 353 (46%) participants were female, 274 (36%) were African American, and 158 (21%) were Latinx; 126 (16%) lacked health insurance, and 244 (32%) lacked primary care. The Intervention M, Intervention Q, and control groups had 30-day vaccine uptakes of 41%, 32%, and 15%, respectively (P<0.0001 for Intervention M vs. control). Comparing Intervention M versus Intervention Q, the adjusted difference in 30-day vaccine uptake was 8.7 percentage points (95% confidence interval, −0.1 to 17.6 percentage points).ConclusionsImplementation of influenza vaccine messaging platforms (video clips, printed materials, and verbal scripts) improved 30-day vaccine uptake among unvaccinated patients in the emergency department. (Funded by the National Institute of Allergy and Infectious Diseases; ClinicalTrials.gov number, NCT05836818.)

Abstract 3942: Mailed at-home self-sampling for HPV testing increases screening participation among under-screened patients in a U.S. safety net health system: Results of the PRESTIS trial

Abstract Background: In global settings, self-sampling for human papillomavirus (HPV) testing is associated with a pooled 2-fold increase in cervical cancer screening participation over usual care among underscreened persons. The Prospective Evaluation of Self-Testing to Increase Screening (PRESTIS) Trial is the first pragmatic randomized controlled trial (RCT) in the U.S. to evaluate the effectiveness of mailed at-home self-sampling for HPV testing in a safety net health system setting. Safety net systems provide care to medically underserved individuals at elevated cervical cancer risk. We hypothesized that patients who were mailed a self-sampling kit would have greater screening participation compared with those receiving usual care; and that patient navigation, a patient-centered intervention to address barriers to care, would further increase participation. Methods: PRESTIS is a three-arm pragmatic RCT of n=2,270 patients in a U.S. safety net health system who are under-screened for cervical cancer (i.e., no Pap in 3.5 years or Pap/HPV co-test in 5.5 years). Eligible participants were identified through the electronic health record (EHR) and randomized to arms: 1) telephone recall to provider-performed screening (usual care); 2) telephone recall + mailed self-sampling kit for HPV testing; or 3) telephone recall + mailed self-sampling kit + telephone-based patient navigation. Self-sampled swabs were tested for high-risk (HR)-HPV. HR-HPV+ patients were navigated to clinical follow-up. The primary outcome, incidence of screening participation, was ascertained by EHR review at 6 months post-randomization and defined as return of a completed kit or attendance for provider-performed screening. Results: Participants were enrolled 02/2020-08/2023. Primary outcomes have been ascertained for n=2,115 participants. Participants were predominantly Hispanic/Latina (68.6%); 53.4% indicated Spanish as primary language; and 60.3% were uninsured. Mean age was 47.9 years (SD: 10.4 years); median time since last screening test was 9.5 years (range: 1.6-21.7 years). In intent-to-treat analyses, screening participation was 15.3% (95% CI 13.0% - 17.9%) in Arm 1; 44.0% (40.4% - 47.6%) in Arm 2; and 51.4% (47.7% - 55.0%) in Arm 3. Relative incidence of screening in Arms 2 and 3 versus Arm 1 was 2.90 (2.42 - 3.47) and 3.36 (2.82 - 4.01), respectively. Relative incidence of screening in Arm 3 versus Arm 2 was 1.16 (1.04 - 1.29). Conclusion: Compared with usual care, mailed at-home self-sampling increased screening participation among an under-screened population by almost three-fold when used alone and over 3.3-fold when combined with telephone-based patient navigation. After FDA approval, self-sampling for HR-HPV testing has the potential to dramatically increase participation in cervical cancer screening in underserved populations. Citation Format: Jane R. Montealegre, Elizabeth Y. Chiao, Matthew L. Anderson, Susan G. Hilsenbeck, Shaun Bulsara, Susan L. Parker, Maria Daheri, Trisha L. Amboree, Kathleen M. Schmeler, Maria L. Jibaja-Weiss, Mohammad Zare, Ashish A. Deshmukh, Michael E. Scheurer. Mailed at-home self-sampling for HPV testing increases screening participation among under-screened patients in a U.S. safety net health system: Results of the PRESTIS trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3942.

Genetics Visit Uptake Among Individuals Receiving Clinically Actionable Genomic Screening Results

Screening unselected populations for clinically actionable genetic disease risk can improve ascertainment and facilitate risk management. Genetics visits may encourage at-risk individuals to perform recommended management, but little has been reported on genetics visit completion or factors associated with completion in genomic screening programs. To identify factors associated with postdisclosure genetics visits in a genomic screening cohort. This was a cohort study of biobank data in a health care system in central Pennsylvania. Participants' exome sequence data were reviewed for pathogenic or likely pathogenic (P/LP) results in all genes on the American College of Medical Genetics and Genomics Secondary Findings list. Clinically confirmed results were disclosed by phone and letter. Participants included adult MyCode biobank participants who received P/LP results between July 2015 and November 2019. Data were analyzed from May 2021 to March 2022. Clinically confirmed P/LP result disclosed by phone or letter. Completion of genetics visit in which the result was discussed and variables associated with completion were assessed by electronic health record (EHR) review. Among a total of 1160 participants (703 [60.6%] female; median [IQR] age, 57.0 [42.1-68.5] years), fewer than half of participants (551 of 1160 [47.5%]) completed a genetics visit. Younger age (odds ratio [OR] for age 18-40 years, 2.98; 95% CI, 1.40-6.53; OR for age 41-65 years, 2.36; 95% CI, 1.22-4.74; OR for age 66-80 years, 2.60; 95% CI, 1.41-4.98 vs age ≥81 years); female sex (OR, 1.49; 95% CI, 1.14-1.96); being married (OR, 1.74; 95% CI, 1.23-2.47) or divorced (OR, 1.80; 95% CI, 1.11-2.91); lower Charlson comorbidity index (OR for score of 0-2, 1.76; 95% CI, 1.16-2.68; OR for score of 3-4, 1.73; 95% CI, 1.18-2.54 vs score of ≥5); EHR patient portal use (OR, 1.42; 95% CI, 1.06-1.89); living closer to a genetics clinic (OR, 1.64; 95% CI, 1.14-2.36 for <8.9 miles vs >20.1 miles); successful results disclosure (OR for disclosure by genetic counselor, 16.32; 95% CI, 8.16-37.45; OR for disclosure by research assistant, 20.30; 95% CI, 10.25-46.31 vs unsuccessful phone disclosure); and having a hereditary cancer result (OR, 2.13; 95% CI, 1.28-3.58 vs other disease risk) were significantly associated with higher rates of genetics visit completion. Preference to follow up with primary care was the most common reported reason for declining a genetics visit (68 of 152 patients [44.7%]). This cohort study of a biobank-based population genomic screening program suggests that targeted patient engagement, improving multidisciplinary coordination, and reducing barriers to follow-up care may be necessary for enhancing genetics visit uptake.

Acute and Persistent Postoperative Functional Decline in Children with Severe Neurological Impairment: A Qualitative, Exploratory Study.

Children with severe neurologic impairment (SNI) regularly require major surgery to manage their underlying conditions. Anecdotal evidence suggests that children with SNI experience unexpected and persistent postoperative functional changes long after the postoperative recovery period; however, evidence from the perspective of caregivers is limited. The purpose of the study was to explore the functional postoperative recovery process for children with SNI. Eligible participants were English-speaking caregivers of children with SNI between 6 months and 17 years who were nonverbal, Gross Motor Function Classification Scale level IV/V, and who had surgery/procedure requiring general anesthetic at a tertiary children's hospital between 2012 and 2022. Demographic and basic health information were collected via surveys and corroborated by a review of the child's electronic health record. Semi-structured interviews were conducted and a thematic content analysis was used to formulate results. Data from 12 primary caregiver interviews revealed four main themes: (1) functional changes and complications in the child; (2) feeling unprepared; (3) perioperative support; and (4) changes to caregiver roles. Postoperative functional decline in children with SNI was prevalent in our sample. Providing pre-operative information to families to describe this phenomenon should be a regular part of family-informed care.

Abstract A053: Understanding geospatial relationships in ovarian cancer risk

Abstract To examine the geographic distribution of ovarian cancer cases in the New England area and identify potential case clusters. Methods: This was a case-control study utilizing 1580 ovarian cancer patients from a single healthcare system (MGB). Using electronic health record (EHR) review, patient primary addresses were geocoded. To account for spatial distribution confounded by access to the MGB health system, 1750 patients from the MGB biobank system were geocoded as controls. Generalized additive models were used to determine the spatial patterning of cases and controls, controlled for age and race. Geospatial analysis was performed using ArcGIS software and R. Results: 3325 patients (1576 ovarian cancer patients, 1749 biobank controls) were successfully geocoded. Distribution of ovarian cancer cases and biobank patient controls were similar (average nearest neighbor distance 6337m vs 5623 m). Among the cohort of patients in New England (defined as MA, ME, NH, VT, RI, CT), there were 1476 ovarian cancer patients and 1663 biobank control patients. Use of a generalized additive model demonstrated higher incidence of ovarian cancer in Western CT, western MA, VT, and southern ME. These data are similar to SEER reported county-level incidence of late-stage ovarian cancer. Conclusions: Understanding the geospatial distribution of ovarian cancer cases can highlight potential clusters of higher incidences of disease. Causal relationships have yet to be established and require future investigation, but these data suggest spatially patterned exposures are worth examination. Citation Format: Victoria Wang, Jaime Hart, Kevin Elias. Understanding geospatial relationships in ovarian cancer risk [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr A053.

Quality of Outpatient Pediatric Palliative Care Telehealth: A Retrospective Chart Review

ContextStudies suggest the feasibility and acceptability of telehealth in outpatient pediatric palliative care. However, there is a need for data that describes the implementation and quality of telehealth, relying on objective and validated measures. ObjectiveWe sought to compare the provision of pediatric palliative care by delivery method. MethodsWe conducted a retrospective electronic health record review of patients seen by our outpatient palliative care team over a two-year period. Demographic, diagnostic, and health utilization data as well as encounter characteristics were compared between patients seen in person (IP), through telehealth (TH), and both (IP/TH). ResultsThree hundred ninety-four patients were evaluated with 889 outpatient pediatric palliative care encounters. Non-English speaking patients were less likely to receive palliative care through TH, as were patients without active patient portals. Median follow-up time was longer for patients seen through TH or IP/TH. Patients with malignancies were seen more frequently IP while children with neurologic diagnoses, technology dependence, and a higher number of complex chronic conditions were seen more frequently via TH. Health outcomes, end of life quality metrics, and encounter-level quality indicators were similar across care delivery methods. Review of systems, pain, and mood management, and advance care planning happened more frequently IP while goals of care discussions and medical decision-making happened more through TH. ConclusionDespite differences in patients seen and palliative interventions provided in person compared to telehealth, health outcomes, and quality indicators were similar across care delivery methods. These data support the continued practice of telehealth in palliative care and highlight the need for equity in its evolution.

Disparities in Eye Care Utilization Among Refugee and Migrant Populations.

In this cross-sectional study, we examined refugee/migrant participants' health and eye care utilization compared to controls in San Diego County. Data were collected from electronic health records (EHRs) at UCSD Health-affiliated medical centers. Through a manual review of EHRs, eligibility criteria to identify a cohort were developed. A total of 64 refugee/migrant participants and 95 control participants matched based on country of origin, age, and sex were included in the analysis. Demographic characteristics, insurance type, and vision/eye care utilization were compared between the two groups. A greater proportion of refugee/migrant participants were more likely to be enrolled in government-sponsored insurance programs, predominantly Medicaid when compared to controls (55% vs. 24%, P = < 0.01). When adjusting for age, history of ophthalmic procedure, and surgery, refugee status was associated with fewer encounters with ophthalmologists in a multivariable linear regression model (coefficient = -1.66 [95% confidence interval [CI] = -2.89 to -0.44], P = 0.009). This study highlights disparities in eye care utilization for refugee/migrant populations. When compared to controls, a larger proportion of refugees/migrants had government-funded insurance, and refugee status was associated with fewer encounters with ophthalmologists. These findings underscore the need for further research on this population to better understand potential healthcare barriers these individuals may encounter. This analysis of EHR data illustrates disparities in eye care experienced by refugees/migrants, highlighting potential gaps in care in a vulnerable population.

Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial.

We conducted an implementation planning process during the pilot phase of a pragmatic trial, which tests an intervention guided by artificial intelligence (AI) analytics sourced from noninvasive monitoring data in heart failure patients (LINK-HF2). A mixed-method analysis was conducted at 2 pilot sites. Interviews were conducted with 12 of 27 enrolled patients and with 13 participating clinicians. iPARIHS constructs were used for interview construction to identify workflow, communication patterns, and clinician's beliefs. Interviews were transcribed and analyzed using inductive coding protocols to identify key themes. Behavioral response data from the AI-generated notifications were collected. Clinicians responded to notifications within 24 hours in 95% of instances, with 26.7% resulting in clinical action. Four implementation themes emerged: (1) High anticipatory expectations for reliable patient communications, reduced patient burden, and less proactive provider monitoring. (2) The AI notifications required a differential and tailored balance of trust and action advice related to role. (3) Clinic experience with other home-based programs influenced utilization. (4) Responding to notifications involved significant effort, including electronic health record (EHR) review, patient contact, and consultation with other clinicians. Clinician's use of AI data is a function of beliefs regarding the trustworthiness and usefulness of the data, the degree of autonomy in professional roles, and the cognitive effort involved. The implementation planning analysis guided development of strategies that addressed communication technology, patient education, and EHR integration to reduce clinician and patient burden in the subsequent main randomized phase of the trial. Our results provide important insights into the unique implications of implementing AI analytics into clinical workflow.

Bolstering Advance Care Planning Measurement Using Natural Language Processing.

Despite its growth as a clinical activity and research topic, the complex dynamic nature of advance care planning (ACP) has posed serious challenges for researchers hoping to quantitatively measure it. Methods for measurement have traditionally depended on lengthy manual chart abstractions or static documents (e.g., advance directive forms) even though completion of such documents is only one aspect of ACP. Natural language processing (NLP), in the form of an assisted electronic health record (EHR) review, is a technological advancement that may help researchers better measure ACP activity. In this article, we aim to show how NLP-assisted EHR review supports more accurate and robust measurement of ACP. We do so by presenting three example applications that illustrate how using NLP for this purpose supports (1) measurement in research, (2) detailed insights into ACP in quality improvement, and (3) identification of current limitations of ACP in clinical settings.

Association of Somatic TET2 Mutations With Giant Cell Arteritis.

Giant cell arteritis (GCA) is an age-related vasculitis. Prior studies have identified an association between GCA and hematologic malignancies (HMs). How the presence of somatic mutations that drive the development of HMs, or clonal hematopoiesis (CH), may influence clinical outcomes in GCA is not well understood. To examine an association between CH and GCA, we analyzed sequenced exomes of 470,960 UK Biobank (UKB) participants for the presence of CH and used multivariable Cox regression. To examine the clinical phenotype of GCA in patients with and without somatic mutations across the spectrum of CH to HM, we performed targeted sequencing of blood samples and electronic health record review on 114 patients with GCA seen at our institution. We then examined associations between specific clonal mutations and GCA disease manifestations. UKB participants with CH had a 1.48-fold increased risk of incident GCA compared to UKB participants without CH. GCA risk was highest among individuals with cytopenia (hazard ratio [HR] 2.98, P = 0.00178) and with TET2 mutation (HR 2.02, P = 0.00116). Mutations were detected in 27.2% of our institutional GCA cohort, three of whom had HM at GCA diagnosis. TET2 mutations were associated with vision loss in patients with GCA (odds ratio 4.33, P = 0.047). CH increases risk for development of GCA in a genotype-specific manner, with the greatest risk being conferred by the presence of mutations in TET2. Somatic TET2 mutations likewise increase the risk of GCA-associated vision loss. Integration of somatic genetic testing in GCA diagnostics may be warranted in the future.

Mode of Detection of Second Breast Cancers in Patients Undergoing Surveillance After Treatment of Ductal Carcinoma in Situ.

For patients undergoing posttreatment surveillance after ductal carcinoma in situ (DCIS), the NCCN Guidelines for Breast Cancer recommend annual breast imaging and physical examination every 6 to 12 months for 5 years, and then annually. The aim of our study was to evaluate the modes of detection (imaging, patient reported, or physical examination) of second cancers in a cohort of patients undergoing surveillance after primary DCIS treatment to better inform surveillance recommendations. We performed a retrospective cohort study of patients with DCIS treated between January 1, 2008, and December 31, 2011, within a large integrated health care system. Information on patient demographics, index DCIS treatment, tumor characteristics, and mode of detection of second breast cancer was obtained from the electronic health record or chart review. Our study cohort consisted of 1,550 women, with a median age of 59 years at diagnosis. Surgical treatment of DCIS included lumpectomy (75.0%; n=1,162), unilateral mastectomy (21.1%; n=327), or bilateral mastectomy (3.9%; n=61), with or without sentinel lymph node biopsy. Additionally, 44.4% (n=688) and 28.3% (n=438) received radiation and endocrine therapies, respectively. Median follow-up was 10 years, during which 179 (11.5%) women were diagnosed with a second breast cancer. Of the second cancers, 43.0% (n=77) were ipsilateral and 54.8% (n=98) contralateral, and 2.2% (n=4) presented with distant metastases; 61.5% (n=110) were invasive, 36.3% (n=65) were DCIS, and 2.2% (n=4) were Paget's disease. Second breast cancers were imaging-detected in 74.3% (n=133) of cases, patient-detected in 20.1% (n=36), physician-detected in 2.2% (n=4), and detected incidentally on imaging or pathology from procedures unrelated to oncologic care in 3.4% (n=6). In our cohort of patients undergoing surveillance following diagnosis and treatment of DCIS, 2% of second breast cancers were detected by a clinical breast examination. This suggests that survivorship care should prioritize mammography and patient education regarding breast self-examination and symptoms that warrant evaluation to detect second breast cancers.

Validation of an international classification of disease, tenth revision, clinical modification (ICD-10-CM) algorithm in identifying severe hypoglycaemia events for real-world studies.

The transition to the ICD-10-CM coding system has reduced the utility of hypoglycaemia algorithms based on ICD-9-CM diagnosis codes in real-world studies of antidiabetic drugs. We mapped a validated ICD-9-CM hypoglycaemia algorithm to ICD-10-CM codes to create an ICD-10-CM hypoglycaemia algorithm and assessed its performance in identifying severe hypoglycaemia. We assembled a cohort of Medicare patients with DM and linked electronic health record (EHR) data to the University of North Carolina Health System and identified candidate severe hypoglycaemia events from their Medicare claims using the ICD-10-CM hypoglycaemia algorithm. We confirmed severe hypoglycaemia by EHR review and computed a positive predictive value (PPV) of the algorithm to assess its performance. We refined the algorithm by removing poor performing codes (PPV ≤0.5) and computed a Cohen's statistic to evaluate the agreement of the EHR reviews. The algorithm identified 642 candidate severe hypoglycaemia events, and we confirmed 455 as true severe hypoglycaemia events, PPV of 0.709 (95% confidence interval: 0.672, 0.744). When we refined the algorithm, the PPV increased to 0.893 (0.862, 0.918) and missed <2.42% (<11) true severe hypoglycaemia events. Agreement between reviewers was high,  = 0.93 (0.89, 0.97). We translated an ICD-9-CM hypoglycaemia algorithm to an ICD-10-CM version and found its performance was modest. The performance of the algorithm improved by removing poor performing codes at the trade-off of missing very few severe hypoglycaemia events. The algorithm has the potential to be used to identify severe hypoglycaemia in real-world studies of antidiabetic drugs.

Consumer perspectives of allied health involvement in a public hospital setting: cross-sectional survey and electronic health record review.

Objective Consumer-centred care is fundamental to high-quality health care, with allied health professionals playing a pivotal role in hospital settings. Allied health typically operates within standard weekday working-hours. Consumer preferences for receiving allied health services are largely unexplored but could inform whether weekend and/or out-of-hours services are required. This study aims to understand consumer preferences for hospital-based inpatient and outpatient allied health services. Methods Using a cross-sectional survey and convenience sampling approach, consumers of a public health service in Melbourne, Australia were surveyed about preferences for allied health service delivery. Electronic health record reviews compared the accuracy of self-reported service delivery times. Descriptive statistics, concordance and predictive values were calculated. Responses to free-text survey items were analysed using content analysis. Results Of 120 participants (79% response rate), most (69%) received allied health services, however, almost half of inpatient responders (44%) were unsure of the specific allied health professional involved. Audit results found moderate-high concordance overall (range, 77-96%) between self-reported and audit-identified allied health services by profession. Most inpatient responders had no strong day of week preference, equally selecting weekdays and weekend days, with most preferring services between 8 am and 4 pm. Outpatient responders (81%) preferred a weekday appointment between 8 am and 12 pm or before 8 am (29%) to complete scheduled activities early in the day. Conclusion While provision of allied health services during standard working-hours was preferred by most consumers, some inpatient and outpatient consumers are receptive to receiving weekend and out-of-hours services, respectively. Decisions about offering these services should consider operational capacity and research evidence.

Abstract B057: Nutrition-related clinical characteristics of patients in a safety net hospital oncology program and perspectives on wellness programming during cancer care

Abstract This study aimed to explore cardiometabolic disease rates and related factors among a sample of oncology patients in a safety net hospital setting, as well as preferences for wellness programming from the perspective of both patients and providers. This multiple methods study included a retrospective review of electronic health record (EHR) data (n=5,136) and qualitative interviews with cancer survivors (n=31) seen at the Harris Health LBJ Hospital (LBJ Hospital) in the last five years, as well as healthcare providers (n=21) in the LBJ Oncology program. LBJ Hospital is part of Harris Health System, the safety-net public healthcare provider for the third largest county in the U.S.. The University of Texas MD Anderson Cancer Center provides oncology care at LBJ Hospital. Overall, the EHR data revealed high rates of comorbid cardiometabolic disease among patients with cancer being treated at LBJ Hospital. Over 67% of patients were prediabetic or diabetic based on HbA1c levels, and 66% had overweight or obesity. Weight fluctuated over the course of treatment, with acute weight loss at diagnosis followed by amplified weight regain into survivorship. Additionally, EHR data indicated high symptom burden was reported in the areas of tiredness, sleep, pain, well-being, poor appetite, shortness of breath, and anxiety. In interviews, survivors (including 11 still on active treatment and 20 off treatment) reported high interest in healthy eating and exercise programs, and preferred programs that were community-based and offered throughout cancer treatment and survivorship. Survivors highlighted the importance of getting information or referrals from providers regarding healthy eating and physical activity. Among interviewed healthcare providers, 90% said they would be interested in an automated referral program for healthy eating and exercise programming and 90% thought programming should start as soon as a patient was diagnosed. Ensuring the referral system was criteria-based and simple were top priorities for healthcare providers. Example metrics providers suggested using as referral criteria included BMI, weight changes, symptoms, and markers of cardiometabolic health. When asked to consider potential programs for patients to encourage healthy eating and exercise, free food/voucher programs, group classes and structural additions were mentioned, and several providers specifically mentioned the need to have programs based in a patient’s local community and/or near their primary care provider. Together, these findings suggest that there is a high need for diet and exercise interventions among the LBJ oncology population, as well as high interest in community-based programs and the integration of referrals to these programs as part of care. Citation Format: Margaret Raber, Ruth Rechis, Thy Ho-Pham, Darya Kizub, Denise LaRue, Hilary Ma, Michael T Walsh, Miranda Baum, Preena Loomba, Haley Gardiner, Karen Basen-Engquist. Nutrition-related clinical characteristics of patients in a safety net hospital oncology program and perspectives on wellness programming during cancer care [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr B057.

98. Resurgence of Invasive Group A Streptococcal Disease in Utah Children

Abstract Background Streptococcus pyogenes (GAS) is a common cause of non-invasive mucosal infections in childhood as well as life-threatening invasive infections. Since 1997, emm1 has been the most common emm type associated with invasive GAS (iGAS) in the US. Apparent increases in iGAS have been reported in several countries during the winter of 2022-23. We sought to characterize changing clinical and molecular epidemiology of iGAS disease in Utah children before and after the emergence of COVID-19. Methods We retrospectively identified children 0-18 years with iGAS treated at Primary Children’s Hospital (Salt Lake City, Utah) from 2018- 2023. Cases were identified through the laboratory database. Electronic health record review confirmed that cases met the CDC definition of iGAS and streptococcal toxic shock syndrome (STSS). We abstracted demographics, disease classification and outcomes (Table). Comparisons were made across years. GAS isolates underwent whole genome sequencing for emm type determination.    Results From 1/2018 to 3/2023, we identified 141 cases of iGAS. Case numbers ranged from 6/yr (2021) to 39 (2019). The highest number of cases by quarter was seen in Q1 2023 (Figure). We observed a marked decrease in iGAS from Q1 2020 through Q3 2022 followed by a steep increase, coinciding with surges in RSV and influenza. Demographics were similar across the study period. 60% of iGAS cases were in males. Complicated pneumonia and head/neck infections predominated. iGAS associated with STSS appeared higher post-pandemic (4/73 [5%] cases in 2018-19 vs. 8/51 [16%] in 2022-23 [OR = 3.2; 95% CI 0.8-15]). The majority of STSS (7/12; 57%) was associated with complicated pneumonia. Clinical outcomes were comparable pre- and post-pandemic. emm types were available for 49/51 (96%) of isolates in 2022-23. emm1 and emm12 were associated with 67% of iGAS disease (emm1 n = 16 [33%]; emm12 n = 17 [35%]). Conclusion After a marked drop in iGAS infections in children during the COVID-19 pandemic in Utah there was a resurgence of iGAS starting in late 2022 and early 2023, modestly exceeding pre-pandemic levels. emm1 and emm12 predominated in the surge. Further analysis of disease severity and molecular epidemiology are in progress.  Disclosures Kwabena Krow Ampofo, MD, Merck: Advisor/Consultant|Merck: Grant/Research Support Andrew T. Pavia, MD, GlaxoSmith Kline: Advisor/Consultant|Sanofi: Advisor/Consultant Anne J. Blaschke, MD, PhD, BioFire Diagnostics: Grant/Research Support|BioFire Diagnostics: I have IP owned by the U. of Utah licensed to BioFire and receive royalties. I have been a consultant and received grant support as well.|Merck and Company, Inc.: Advisor/Consultant

Patient perspectives on tapering biologic or targeted synthetic therapy in well-controlled rheumatoid arthritis and comparison with providers' perspectives.

We examined patient and providers' perspectives on tapering biologic or targeted synthetic disease modifying antirheumatic drugs (bDMARD or tsDMARD) in well-controlled RA to determine which factors influence their long-term treatment decisions. A standardized phone survey was administered to patients with well-controlled RA based on electronic health record review. Providers were also surveyed. Univariate and multivariable regression analysis was performed with odds ratios (OR) and 95% CI. Sixty-two patients and 11 providers completed the survey. In total, 39 (63%) patients would consider a bDMARD/tsDMARD taper. Patients were more likely to consider a taper if they thought their RA was well-controlled (OR 8.02, 95% CI 2.15-29.99, P = 0.002) and of shorter duration (OR 0.94, 95% CI 0.89-0.99, P = 0.02). Patients were less likely to consider a taper if older (OR 0.95, 95% CI 0.91-1.0, P = 0.05), if they were being treated with conventional synthetic DMARDs (OR 0.25, 95% CI 0.07-0.86, P = 0.0275) or daily glucocorticoids (OR 0.08, 95% CI 0.02-0.44, P = 0.0033). Patients' and providers' top concerns about long-term bDMARD/tsDMARD use were malignancy and infection. Their concerns about tapering were worsening pain, flare and loss of function. Patients were more likely to consider a bDMARD/tsDMARD taper than providers (63% vs 36%). Patients who have had well-controlled RA are more likely to consider tapering bDMARD/tsDMARD when not being treated with csDMARDs or glucocorticoids. Patients and providers shared similar concerns regarding long-term use and tapering of bDMARD/tsDMARD, but patients were more likely to consider a taper.

Natural Language Processing for Identification of Refractory Status Epilepticus in Children.

Pediatric status epilepticus is one of the most frequent pediatric emergencies, with high mortality and morbidity. Utilizing electronic health records (EHR) permits analysis of care approaches and disease outcomes at a lower cost than prospective research. However, reviewing EHR manually is time intensive. We aimed to compare refractory status epilepticus (rSE) cases identified by human EHR review with a Natural language processing (NLP)-assisted rSE screen followed by a manual review. We used the NLP screening tool, Document Review Tool (DrT), to generate regular expressions, trained a bag-of-words NLP classifier on EHR from 2017-2019, and then tested our algorithm on data from February to December 2012. We compared results from manual review to NLP-assisted search followed by manual review. Our algorithm identified 1528 notes in the test set. After removing notes pertaining to the same event by DrT, the user reviewed a total number of 400 notes to find patients with rSE. Within these 400 notes, we identified 31 rSE cases, including 12 new cases not found in manual review, and 19 of the 20 previously identified cases. The NLP-assisted model found 31/32 cases with a sensitivity of 96.88% (95% C.I. 82-99.84%), while manual review identified 20/32 cases, with a sensitivity of 62.5% (95% C.I. 43.75-78.34%). DrT provided a highly sensitive model compared to human review and an increase in patient identification through EHRs. The use of DrT is a suitable application of NLP for identifying patients with a history of recent rSE which ultimately contributes to the implementation of monitoring techniques and treatments in near real-time.

SAT115 Diabetes In Pregnancy: Evaluating Access And Usage Of Continuous Glucose Monitors (CGM) In A Medicaid Population

Abstract Disclosure: P. Chilukuri: None. J. Llanora: None. A. Schadler: None. K. Playforth: None. K. Naseman: None. Objective: Diabetes complicates up to 17% of pregnancies in the United States annually. Self-monitoring of blood glucose for diabetics requires supplies, knowledge, and support. Continuous glucose monitor (CGM) use for self-monitoring improves clinical outcomes and patient satisfaction. Despite identified benefits, patient access to CGM is variable. Identifying barriers to CGM access is important to promote health equity. Our objective was to describe CGM prevalence in a pregnant population with diabetes. Study Design: This was a single-center, retrospective observational cohort study using electronic health record review of pregnant patients with diagnoses of Type 1 Diabetes (T1DM), Type 2 Diabetes (T2DM), or gestational diabetes (GDM). Patients ages 18 to 50 years with state Medicaid insurance, for whom CGM is a covered benefit, were considered if seen in any of our institution’s obstetrics clinics within a one-year period. Type of diabetes, race/ethnicity, primary language, home county, medication use, and CGM orders were abstracted. Pearson’s Chi-square, Fisher’s exact, and independent samples t-tests were used for analysis. Results: Of 297 total patients, 7.7% (n=23) had T1DM, 22.2% (n=66) had T2DM, 68.4% (n=203) had GDM, and 1.7% (n=5) had another type. Overall, 19% (n=55) had reported CGM use. There was no difference in CGM use for non-white vs. white race (p=0.081) and urban vs. rural home county (p=0.138). Significantly less non-English speaking patients (p=0.001), Hispanic patients (p=0.026), Metformin users (p=0.03), and those not taking medications (p&amp;lt; 0.001) used CGM. Significantly more T1DM (p&amp;lt; 0.001), T2DM (p=0.007), and insulin-using patients (p&amp;lt;0.001) were in the CGM group. Conclusion: In patients with insurance coverage of CGM, awareness of actual usage is key. Social factors of ethnicity and primary language and clinical factors of diabetes type and medication use may affect CGM use. Obstetricians should advocate for equal CGM access for high-risk patients to improve patient outcomes and satisfaction. Presentation: Saturday, June 17, 2023

Assessment of autonomic symptom scales in patients with neurodevelopmental diagnoses using electronic health record data

BackgroundSleep disturbances, gastrointestinal problems, and atypical heart rate are commonly observed in patients with autism spectrum disorder (ASD) and may relate to underlying function of the autonomic nervous system (ANS). The overall objective of the current study was to quantitatively characterize features of ANS function using symptom scales and available electronic health record (EHR) data in a clinically and genetically characterized pediatric cohort. MethodsWe assessed features of ANS function via chart review of patient records adapted from items drawn from a clinical research questionnaire of autonomic symptoms. This procedure coded for the presence and/or absence of targeted symptoms and was completed in 3 groups of patients, including patients with a clinical neurodevelopmental diagnosis and identified genetic etiology (NPD, n = 244), those with an ASD diagnosis with no known genetic cause (ASD, n = 159), and age and sex matched controls (MC, n = 213). Symptoms were assessed across four main categories: (1) Mood, Behavior, and Emotion; (2) Secretomotor, Sensory Integration; (3) Urinary, Gastrointestinal, and Digestion; and (4) Circulation, Thermoregulation, Circadian function, and Sleep/Wake cycles. ResultsChart review scores indicate an increased rate of autonomic symptoms across all four sections in our NPD group as compared to scores with ASD and/or MC. Additionally, we note several significant relationships between individual differences in autonomic symptoms and quantitative ASD traits. ConclusionThese results highlight EHR review as a potentially useful method for quantifying variance in symptoms adapted from a questionnaire or survey. Further, using this method indicates that autonomic features are more prevalent in children with genetic disorders conferring risk for ASD and other neurodevelopmental diagnoses.

LungCARE: Encouraging Shared Decision-Making in Lung Cancer Screening—a Randomized Trial

BackgroundLung cancer screening (LCS) is recommended for individuals at high risk due to age and smoking history after a shared decision-making conversation. However, little is known about best strategies for incorporating shared decision-making, especially in a busy primary care setting.ObjectiveTo develop a novel tool, Lung Cancer Assessment of Risk and Education (LungCARE) to guide LCS decisions among eligible primary care patients.DesignPilot cluster randomized controlled trial of LungCARE versus usual care.ParticipantsPatients of providers in a university primary care clinic, who met criteria for LCS.InterventionProviders were randomized to LungCARE intervention or control. LungCARE participants completed a computer tablet-based video assessment of lung cancer educational needs in the waiting room prior to a primary care visit. Patient and provider both received a summary handout of patient concerns and responses.Main MeasuresAll eligible patients completed baseline interviews by telephone. One week after the index visit, participants completed a follow-up telephone survey that assessed patient-physician discussion of LCS, referral to and scheduling of LCS, as well as LCS knowledge and acceptability of LungCARE. Two months after index visit, we reviewed patients’ electronic health records (EHRs) for evidence of a shared decision-making conversation and referral to and receipt of LCS.Key ResultsA total of 66 participants completed baseline and follow-up visits (34: LungCARE; 32: usual care). Mean age was 65.9 (± 6.0). Based on EHR review, compared to usual care, LungCARE participants were more likely to have discussed LCS with their physicians (56% vs 25%; p = 0.04) and to be referred to LCS (44% vs 13%; p < 0.02). Intervention participants were also more likely to complete LCS (32% vs 13%; p < 0.01) and had higher knowledge scores (mean score 6.5 (± 1.7) vs 5.5 (± 1.4; p < 0.01).ConclusionsLungCARE increased discussion, referral, and completion of LCS and improved LCS knowledge.Clinical Trial RegistrationNCT03862001.