Evaluating feedback from an implementation advisory board to assess the rollout of a postpartum patient navigation program.

BACKGROUND: Patient navigation is an individualized intervention to facilitate comprehensive care which has not yet been fully implemented in obstetric or postpartum care. METHODS: We aimed to develop and evaluate a mechanism to incorporate feedback regarding implementation of postpartum patient navigation for low-income birthing individuals at an urban academic medical center. This study analyzed the role of an Implementation Advisory Board (IAB) in supporting an ongoing randomized trial of postpartum navigation. Over the first 24 months of the trial, the IAB included 11 rotating obstetricians, one clinic resource coordinator, one administrative leader, two obstetric nurses, one primary care physician, one social worker, and one medical assistant. Members completed serial surveys regarding program implementation, effects on patient care, and areas for improvement. Quarterly IAB meetings offered opportunities for additional feedback. Survey responses and meeting notes were analyzed using the constant comparative method and further interpreted within the Exploration, Preparation, Implementation, Sustainment (EPIS) Framework. RESULTS: Members of the IAB returned 37 surveys and participated in five meetings over 24 months. Survey analysis revealed four themes among the inner context: reduced clinician burden, connection of care teams, communication strategies, and clinic workflow. Bridging factors included improved patient access to care, improved follow-up, and adding social context to care. Innovation factors included availability of navigators, importance of consistent communication, and adaptation over time. Meeting notes highlighted the importance of bidirectional feedback regarding implementation, and members expressed positive opinions regarding navigators' effects on patient care, integration into clinic workflow, and responsiveness to feedback. IAB members initially suggested changes to improve implementation; later survey responses demonstrated successful program adaptations. CONCLUSIONS: Members of an implementation advisory board provided key insights into the implementation of postpartum patient navigation that may be useful to promote dissemination of navigation and establish avenues for the engagement of implementing partners in other innovations. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03922334 . Registered April 19, 2019. The results here do not present the results of the primary trial, which is ongoing.

Appendicitis Hospitalization Care Costs Among Patients With Delayed Diagnosis of Appendicitis.

Importance: Delayed appendicitis diagnosis is associated with worse outcomes. Appendicitis hospital care costs associated with delayed diagnosis are unknown. Objective: To determine whether delayed appendicitis diagnosis was associated with increased appendicitis hospital care costs. Design, Setting, and Participants: This cohort study used data from patients receiving an appendectomy aged 18 to 64 years in 5 states (Florida, Maryland, Massachusetts, New York, Wisconsin) that were captured in the Healthcare Cost and Utilization Project State Inpatient and Emergency Department databases for the years 2016 and 2017 with no additional follow-up. Data were analyzed January through April 2023. Exposures: Delayed diagnosis was defined as a previous emergency department or inpatient hospital encounter with an abdominal diagnosis other than appendicitis, and no intervention 7 days prior to appendectomy encounter. Main Outcomes and Measures: The main outcome was appendicitis hospital care costs. This was calculated from aggregated charges of encounters 7 days prior to appendectomy, the appendectomy encounter, and 30 days postoperatively. Cost-to-charge ratios were applied to charges to obtain costs, which were then adjusted for wage index, inflation to 2022 US dollar, and with extreme outliers winsorized. A multivariable Poisson regression estimated appendicitis hospital care costs associated with a delayed diagnosis while controlling for age, sex, race and ethnicity, insurance status, care discontinuity, income quartile, hospital size, teaching status, medical school affiliation, percentage of Black and Hispanic patient discharges, core-based statistical area, and state. Results: There were 76 183 patients (38 939 female [51.1%]; 2192 Asian or Pacific Islander [2.9%], 14 132 Hispanic [18.5%], 8195 non-Hispanic Black [10.8%], 46 949 non-Hispanic White [61.6%]) underwent appendectomy, and 2045 (2.7%) had a delayed diagnosis. Delayed diagnosis patients had median (IQR) unadjusted cost of $11 099 ($6752-$17 740) compared with $9177 ($5575-$14 481) for nondelayed (P < .001). Patients with delayed diagnosis had 1.23 times (95% CI, 1.16-1.28 times) adjusted increased appendicitis hospital care costs. The mean marginal cost of delayed diagnosis was $2712 (95% CI, $2083-$3342). Even controlling for delayed diagnosis, non-Hispanic Black patients had 1.22 times (95% CI, 1.17-1.28 times) the adjusted increased appendicitis hospital care costs compared with non-Hispanic White patients. Conclusions and Relevance: In this cohort study, delayed diagnosis of appendicitis was associated with increased hospital care costs.

Use of Electronic Patient Messaging by Pregnant Patients Receiving Prenatal Care at an Academic Health System: Retrospective Cohort Study.

Background: The COVID-19 pandemic accelerated telemedicine and mobile app use, potentially changing our historic model of maternity care. MyChart is a widely adopted mobile app used in health care settings specifically for its role in facilitating communication between health care providers and patients with its messaging function in a secure patient portal. However, previous studies analyzing portal use in obstetric populations have demonstrated significant sociodemographic disparities in portal enrollment and messaging, specifically showing that patients who have a low income and are non-Hispanic Black, Hispanic, and uninsured are less likely to use patient portals. Objective: The study aimed to estimate changes in patient portal use and intensity in prenatal care before and during the pandemic period and to identify sociodemographic and clinical disparities that continued during the pandemic. Methods: This retrospective cohort study used electronic medical record (EMR) and administrative data from our health system's Enterprise Data Warehouse. Records were obtained for the first pregnancy episode of all patients who received antenatal care at 8 academically affiliated practices and delivered at a large urban academic medical center from January 1, 2018, to July 22, 2021, in Chicago, Illinois. All patients were aged 18 years or older and attended ≥3 clinical encounters during pregnancy at the practices that used the EMR portal. Patients were categorized by the number of secure messages sent during pregnancy as nonusers or as infrequent (≤5 messages), moderate (6-14 messages), or frequent (≥15 messages) users. Monthly portal use and intensity rates were computed over 43 months from 2018 to 2021 before, during, and after the COVID-19 pandemic shutdown. A logistic regression model was estimated to identify patient sociodemographic and clinical subgroups with the highest portal nonuse. Results: Among 12,380 patients, 2681 (21.7%) never used the portal, and 2680 (21.6%), 3754 (30.3%), and 3265 (26.4%) were infrequent, moderate, and frequent users, respectively. Portal use and intensity increased significantly over the study period, particularly after the pandemic. The number of nonusing patients decreased between 2018 and 2021, from 996 of 3522 (28.3%) in 2018 to only 227 of 1743 (13%) in the first 7 months of 2021. Conversely, the number of patients with 15 or more messages doubled, from 642 of 3522 (18.2%) in 2018 to 654 of 1743 (37.5%) in 2021. The youngest patients, non-Hispanic Black and Hispanic patients, and, particularly, non-English-speaking patients had significantly higher odds of continued nonuse. Patients with preexisting comorbidities, hypertensive disorders of pregnancy, diabetes, and a history of mental health conditions were all significantly associated with higher portal use and intensity. Conclusions: Reducing disparities in messaging use will require outreach and assistance to low-use patient groups, including education addressing health literacy and encouraging appropriate and effective use of messaging.

Mapping the Postpartum Experience Through Obstetric Patient Navigation for Low-Income Individuals.

Background: Although the postpartum period is an opportunity to address long-term health, fragmented care systems, inadequate attention to social needs, and a lack of structured transition to primary care threaten patient wellbeing, particularly for low-income individuals. Postpartum patient navigation is an emerging innovation to address these disparities. Methods: This mixed-methods analysis uses data from the first year of an ongoing randomized controlled trial to understand the needs of low-income postpartum individuals through 1 year of patient navigation. We designed standardized logs for navigators to record their services, tracking mode, content, intensity, and target of interactions. Navigators also completed semistructured interviews every 3 months regarding relationships with patients and care teams, care system gaps, and navigation process. Log data were categorized, quantified, and mapped temporally through 1 year postpartum. Qualitative data were analyzed using the constant comparative method. Results: Log data from 50 participants who received navigation revealed the most frequent needs related to health care access (45.4%), health and wellness (18.2%), patient-navigator relationship building (14.8%), parenting (13.6%), and social determinants of health (8.0%). Navigation activities included supporting physical and mental recovery, accomplishing health goals, connecting patients to primary and specialty care, preparing for health system utilization beyond navigation, and referring individuals to community resources. Participant needs fluctuated, yielding a dynamic timeline of the first postpartum year. Conclusion: Postpartum needs evolved throughout the year, requiring support from various teams. Navigation beyond the typical postpartum care window may be useful in mitigating health system barriers, and tracking patient needs may be useful in optimizing postpartum care. Clinical Trial Registration: Registered April 19, 2019, enrollment beginning January 21, 2020, NCT03922334, https://clinicaltrials.gov/ct2/show/NCT03922334.

Association Between State Paid Family and Medical Leave and Breastfeeding, Depression, and Postpartum Visits.

OBJECTIVE: To evaluate the association of state paid family and medical leave policies with the likelihood of breastfeeding, postpartum depression symptoms, and attendance of the postpartum visit. METHODS: This was a cross-sectional study that used 2016-2019 data from PRAMS (Pregnancy Risk Assessment Monitoring System) for 43 states and Washington, DC. We describe the association of state paid family and medical leave generosity with rates of breastfeeding, postpartum depression symptoms, and attendance of the postpartum visit. Logistic and Poisson regression models tested the significance of state paid family and medical leave coverage generosity after controlling for individual respondent sociodemographic characteristics, with sensitivity analyses for respondents with deliveries covered by Medicaid insurance. RESULTS: Of the 143,131 respondents, representative of an estimated 7,426,725 population, 26.2% lived in eight states and DC with the most generous paid family and medical leave, 20.5% lived in nine states with some paid family and medical leave, and 53.3% lived in 26 states with little or no paid family and medical leave. Overall, 54.8% reported breastfeeding at 6 months or at time of the survey, ranging from 59.5% in the most generous paid family and medical leave states to 51.0% in states with the least paid family and medical leave coverage. Postpartum depression symptoms varied from 11.7% in the most generous states to 13.3% in the least generous states (both P <.001). State differences in postpartum visit attendance rates (90.9% overall) did not differ significantly. After adjusting for respondent characteristics, compared with states with the least paid family and medical leave, breastfeeding was 9% more likely (adjusted incidence rate ratio [aIRR] 1.09, 95% CI, 1.07-1.11) in states with the strongest paid family and medical leave coverage and 32% more likely (aIRR 1.32, 95% CI, 1.25-1.39) in analyses limited to respondents with deliveries covered by Medicaid insurance. A more generous state paid family and medical leave policy was significantly associated with a lower likelihood of postpartum depression symptoms compared with states with the least paid family and medical leave (adjusted odds ratio 0.85, 95% CI, 0.76-0.94) and a modest but significant increase in postpartum visit attendance (aIRR 1.03, 95% CI, 1.01-1.04) among respondents with deliveries covered by Medicaid insurance. CONCLUSION: Respondents from states with strong paid family and medical leave had a greater likelihood of breastfeeding and had lower odds of postpartum depression symptoms, with stronger associations among respondents with deliveries covered by Medicaid insurance. Despite major potential health benefits of paid family and medical leave, the United States remains one of the few countries without federally mandated paid parental leave.

Antepartum Emergency Department Use and Associations with Maternal and Neonatal Outcomes in a Large Hospital System.

Objectives: Prenatal care in the United States has remained unchanged for decades, with pregnant patients often experiencing high rates of hospital emergency department (ED) visits. It is unknown how many of these ED visits are potentially preventable with better access to timely and effective outpatient or home prenatal care. This multihospital health system quality improvement study was undertaken to analyze patient risk factors for acute antepartum hospital use as well as associations with adverse maternal and neonatal birth outcomes. Methods: The retrospective cohort study analyzed electronic health record and administrative data on ED visits in the 270 days before a delivery admission for alive, singleton births at nine system hospitals over 52 months. We use logistic regression to estimate the likelihood of hospital use by patient demographic and clinical characteristics and present the association of acute antepartum hospital use with maternal and neonatal birth outcomes. Results: Overall, 17.5% of 68,200 patients had antepartum ED visits, including 248 inpatient admissions, with significant variation between hospitals. As compared to non-Hispanic white patients, Hispanic and especially non-Hispanic Black and Medicaid patients had significantly higher odds of acute antepartum hospital use as did patients with preexisting conditions. Birth outcomes were significantly (p < 0.01) worse among individuals with antepartum hospital utilization. Conclusion: Acute antepartum hospital use was concentrated among lower income, minority patients, and those with chronic conditions with significant variation across system hospitals. There is a need for research into innovations in prenatal care that are best at reaching our most vulnerable patients, reducing preventable hospital utilization, and improving birth outcomes.

Evaluation of Nationwide Trends in Nodal Sampling Guideline Adherence for Gastric Cancer: 2005-2017.

INTRODUCTION: Surgical resection is the primary curative treatment for localized gastric cancer. A multitude of research supports surgical nodal sampling guidelines. Though there are known disparities in adherence to nodal sampling, it is unclear how hospital program-level disparities have changed over time. The purpose of this study is to evaluate trends in program-level disparities in adherence to gastric cancer nodal sampling guidelines. METHODS: Patients who underwent resection of gastric cancer from 2005 to 2017 were identified in the National Cancer Database. Patients treated at academic programs were compared to those treated at nonacademic programs, and rates and trends of adherence to nodal sampling guidelines (defined as ≥15 lymph nodes) were determined. Adjusted multivariable analysis was used to determine likelihood of nodal sampling adherence while controlling for sociodemographic, clinical, hospital, and travel distance characteristics. RESULTS: A total of 55,421 patients were included with 27,201 (49.1%) of patients meeting adherence criteria for lymph node sampling. Academic programs treated 44.4% of the total cohort. Overall, lymph node sampling criteria were met in 59.2% of patients treated at high-volume academic programs and 37.0% of patients treated at low-volume nonacademic programs (incidence rate ratios 0.67, 95% confidence interval 0.63-0.72 versus high-volume academic programs). Adherence rates improved from 2005 to 2017 for both low-volume nonacademic programs (27.8% in 2005 to 50.1% in 2017) and high-volume academic programs (46.0% in 2005 to 69.8% in 2017, P < 0.001). CONCLUSIONS: Though adherence rates have improved from 2005 to 2017, high-volume academic programs were more likely to adhere to lymph node sampling guidelines for gastric cancer.

Perception of Neighborhood Safety and Maternal and Neonatal Health Outcomes.

This cross-sectional study examines whether perceived neighborhood safety is independently associated with adverse birth outcomes.

Evaluating Socioeconomic, Racial, and Ethnic Disparities in Survival Among Patients Undergoing Allogeneic Hematopoietic Stem Cell Transplants.

This study was undertaken to monitor potential disparities in survival after allogeneic hematopoietic stem cell transplantation (HSCT) with the aim of optimizing access and outcomes for minority and low-income patients. We analyzed 463 patients transplanted over a 72-month study period with a median 19-month follow-up, focused on differences by individual patient race/ethnicity and patients' household income derived from geocoded addresses at the census block group level. Patient sociodemographic and clinical characteristics were abstracted from electronic health records and our HSCT registry, including disease category and status, donor age, transplant type, and conditioning. Approximately, 15% of HSCT patients were non-Hispanic Black or Hispanic with a similar proportion from block groups below the median metropolitan Index of Concentration at the Extremes income score. The overall survival probability was 61.8% at 36 months. Non-Hispanic white (63.6%) and especially Hispanic patients (49.2%) had lower survival probabilities at 36 months than non-Hispanic Black patients (75.6%, p = 0.04). There were no other patient characteristics significantly associated with survival at the p < 0.01 level. The lack of significant differences likely reflects the careful selection of patients for transplants. However, the proportion of minority and low-income patients relative to expected disease prevalence in our area population raises important considerations about which patients successfully make it to transplant. We conclude with recommendations to increase the diversity of patients who receive HSCT by reviewing potential barriers in the transplant referral and selection process and advocating for needed psychosocial and community resources.

Association of travel distance, surgical volume, and receipt of adjuvant chemotherapy with survival among patients with resectable lung cancer.

Objective: Regionalization of surgery for non-small cell lung cancer (NSCLC) to high-volume centers (HVCs) improves perioperative outcomes but frequently increases patient travel distance. Travel might decrease rates of adjuvant chemotherapy (AC) use, however, the relationship of distance, volume, and receipt of AC with outcomes is unknown. Our objective was to evaluate the association of distance, volume, and receipt of AC with overall survival among patients with NSCLC. Methods: Patients with stage I to IIIA (N0-N1) NSCLC were identified between 2004 and 2018 using the National Cancer Database. Distance to surgical facility was categorized into quartiles (<5.1, 5.1 to <11.5, 11.5 to <28.1, and ≥28.1 miles), and HVCs were defined as those that perform ≥40 annual resections. Patient characteristics and likelihood of receiving AC anywhere were determined. Propensity score-matched survival analysis was performed using Cox models and Kaplan-Meier curves. Results: Of the 131,982 patients included, 35,658 (27.0%) were stage II to IIIA. Of the stage II to IIIA cohort, 49.6% received AC, 13.1% traveled <5.1 miles to low-volume centers (LVCs), and 18.1% traveled ≥28.1 miles to HVCs (P < .001). Among stage II to IIIA patients who traveled ≥28.1 miles to HVCs, 45% received AC versus 51.5% who traveled <5.1 miles to LVCs (incidence rate ratio, 0.88; 95% CI, 0.83-0.94; <5.1 miles to LVC reference). Patients with stage II to IIIA NSCLC who traveled ≥28.1 miles to HVCs and did not receive AC had higher mortality rates than those who traveled <5.1 miles to LVCs and received AC (median overall survival, 52.3 vs 36.7 months; adjusted hazard ratio, 1.41; 95% CI, 1.26-1.57). Conclusions: Increasing travel distance to surgical treatment is associated with decreased likelihood of receiving AC for patients with stage II to IIIA (N0-N1) NSCLC.

Rural-Urban Disparities in Receipt of Surgery for Potentially Resectable Non-Small Cell Lung Cancer.

INTRODUCTION: Access to cancer care, especially surgery, is limited in rural areas. However, the specific reasons rural patient populations do not receive surgery for non-small cell lung cancer (NSCLC) is unknown. We investigated geographic disparities in reasons for failure to receive guideline-indicated surgical treatment for patients with potentially resectable NSCLC. METHODS: The National Cancer Database was used to identify patients with clinical stage I-IIIA (N0-N1) NSCLC between 2004 and 2018. Patients from rural areas were compared to urban areas, and the reason for nonreceipt of surgery was evaluated. Adjusted odds of (1) primary nonsurgical management, (2) surgery being deemed contraindicated due to risk, (3) surgery being recommended but not performed, and (4) overall failure to receive surgery were determined. RESULTS: The study included 324,785 patients with NSCLC with 42,361 (13.0%) from rural areas. Overall, 62.4% of patients from urban areas and 58.8% of patients from rural areas underwent surgery (P < 0.001). Patients from rural areas had increased odds of (1) being recommended primary nonsurgical management (adjusted odds ratio [aOR]: 1.14, 95% confidence interval [CI]: 1.05-1.23), (2) surgery being deemed contraindicated due to risk (aOR: 1.19, 95% CI: 1.07-1.33), (3) surgery being recommended but not performed (aOR: 1.13, 95% CI: 1.01-1.26), and (4) overall failure to receive surgery (aOR: 1.21, 95% CI: 1.13-1.29; all P < 0.001). CONCLUSIONS: There are geographic disparities in the management of NSCLC. Rural patient populations are more likely to fail to undergo surgery for potentially resectable disease for every reason examined.

Statewide Examination of Access to Cancer Surgery During the COVID-19 Pandemic.

INTRODUCTION: The COVID-19 pandemic caused interruptions in the delivery of medical care across a wide range of conditions including cancer. Trends in surgical treatment for cancer during the pandemic have not been well described. We sought to characterize associations between the pandemic and access to surgical treatment for breast, colorectal, and lung cancer in Illinois. METHODS: We performed a retrospective cohort study evaluating inpatient admissions at Illinois hospitals providing surgical care for lung cancer (n = 1913 cases, n = 64 hospitals), breast cancer (n = 910 cases, n = 108 hospitals), and colorectal cancer (n = 5339 cases, n = 144 hospitals). Using discharge data from the Illinois Health and Hospital Association's Comparative Health Care and Hospital Data Reporting Services database, average monthly surgical case volumes were compared from 2019 to 2020. We also compared rates of cancer surgery for each cancer type, by patient characteristics, and hospital type across the three time periods using Pearson chi-squared and ANOVA testing as appropriate. Three discrete time periods were considered: prepandemic (7-12/2019), primary pandemic (4-6/2020), and pandemic recovery (7-12/2020). Hospital characteristics evaluated included hospital type (academic, community, safety net), COVID-19 burden, and baseline cancer surgery volume. RESULTS: There were 2096 fewer operations performed for breast, colorectal, and lung cancer in 2020 than 2019 in Illinois, with the greatest reductions in cancer surgery volume occurring at the onset of the pandemic in April (colorectal, -48.3%; lung, -13.1%) and May (breast, -45.2%) of 2020. During the pandemic, breast (-14.6%) and colorectal (-13.8%) cancer surgery experienced reductions in volume whereas lung cancer operations were more common (+26.4%) compared to 2019. There were no significant differences noted in gender, race, ethnicity, or insurance status among patients receiving oncologic surgery during the primary pandemic or pandemic recovery periods. Academic hospitals, hospitals with larger numbers of COVID-19 admissions, and those with greater baseline cancer surgery volumes were associated with the greatest reduction in cancer surgery during the primary pandemic period (all cancer types, P < 0.01). During the recovery period, hospitals with greater baseline breast and lung cancer surgery volumes remained at reduced surgery volumes compared to their counterparts (P < 0.01). CONCLUSIONS: The COVID-19 pandemic was associated with significant reductions in breast and colorectal cancer operations in Illinois, while lung cancer operations remained relatively consistent. Overall, there was a net reduction in cancer surgery that was not made up during the recovery period. Academic hospitals, those caring for more COVID-19 patients, and those with greater baseline surgery volumes were most vulnerable to reduced surgery rates during peaks of the pandemic and to delays in addressing the backlog of cases.

Implementation of postpartum navigation for low-income individuals at an urban academic medical center.

BACKGROUND: Patient navigation, a patient-centered intervention to promote comprehensive health care, is an emerging innovation in obstetrics to optimize postpartum care. We aimed to evaluate the implementation of a novel postpartum patient navigation program at an urban academic medical center. METHODS: This mixed-methods study analyzed the implementation of a postpartum patient navigation program within an ongoing randomized control trial. This study analyzed three navigators' logs of interactions with 50 patients, care team members, and community organizations throughout patients' first year postpartum. We categorized and quantified interactions by topic addressed, care team member interacted with, and communication mode used. We also conducted semi-structured interviews with each navigator every three months (5 interviews per navigator), emphasizing navigation experiences, relationships with patients and care teams, integration in the care team, and healthcare system gaps. Interview data were analyzed using the constant comparative method to identify themes using the constructs of the Consolidated Framework for Implementation Research (CFIR). RESULTS: Analysis of navigator logs revealed a high patient need level, especially in the first 3 months postpartum. CFIR-guided analysis of intervention characteristics revealed positive perceptions of navigation's utility due to its adaptability. Navigation's complexity, however, posed an early obstacle to implementation that diminished over time. Outer setting analysis indicated navigators addressed patient needs through interactions with multiple systems. Despite clinicians' initial unfamiliarity with navigation, inner setting analysis suggested ongoing communication and electronic medical record use facilitated integration into the care team. Regarding individual and process characteristics, findings emphasized how navigator self-efficacy and confidence increased with experience (individual) and was facilitated by comprehensive training and reflection (process). Overall, barriers to implementation included unfamiliarity, varied patient engagement, and innovation complexity. Facilitators included high patient need, communication with outside organizations, medical record usage, navigator characteristics (self-efficacy, communication skills, and personal growth), a comprehensive training period, consistent reflection, high relative advantage, and high adaptability to patient need. CONCLUSION: Patient navigation is a promising innovation to improve postpartum care coordination and support care team efforts. The successful implementation of navigation in this study indicates that, if shown to improve patient outcomes, obstetric navigation could be a component of patient-centered postpartum care.

Patient and Hospital Characteristics Associated With Delayed Diagnosis of Appendicitis.

Importance: Racial disparities in timely diagnosis and treatment of surgical conditions exist; however, it is poorly understood whether there are hospital structural measures or patient-level characteristics that modify this phenomenon. Objective: To assess whether patient race and ethnicity are associated with delayed appendicitis diagnosis and postoperative 30-day hospital use and whether there are patient- or systems-level factors that modify this association. Design, Setting, and Participants: This population-based, retrospective cohort study used data from the Healthcare Cost and Utilization Project's state inpatient and emergency department (ED) databases from 4 states (Florida, Maryland, New York, and Wisconsin) for patients aged 18 to 64 years who underwent appendectomy from January 7, 2016, to December 1, 2017. Data were analyzed from January 1, 2016, to December 31, 2017. Exposure: Delayed diagnosis of appendicitis, defined as an initial ED presentation with an abdominal diagnosis other than appendicitis followed by re-presentation within a week for appendectomy. Main Outcomes and Measures: A mixed-effects multivariable Poisson regression model was used to estimate the association of delayed diagnosis of appendicitis with race and ethnicity while controlling for patient and hospital variables. A second mixed-effects multivariable Poisson regression model quantified the association of delayed diagnosis of appendicitis with postoperative 30-day hospital use. Results: Of 80 312 patients who received an appendectomy during the study period (median age, 38 years [IQR, 27-50 years]; 50.8% female), 2013 (2.5%) experienced delayed diagnosis. In the entire cohort, 2.9% of patients were Asian or Pacific Islander, 18.8% were Hispanic, 10.9% were non-Hispanic Black, 60.8% were non-Hispanic White, and 6.6% were other race and ethnicity; most were privately insured (60.2%). Non-Hispanic Black patients had a 1.41 (95% CI, 1.21-1.63) times higher adjusted rate of delayed diagnosis compared with non-Hispanic White patients. Patients at hospitals with a more than 50% Black or Hispanic population had a 0.73 (95% CI, 0.59-0.91) decreased adjusted rate of delayed appendicitis diagnosis compared with hospitals with a less than 25% Black or Hispanic population. Conversely, patients at hospitals with more than 50% of discharges of Medicaid patients had a 3.51 (95% CI, 1.69-7.28) higher adjusted rate of delayed diagnosis compared with hospitals with less than 10% of discharges of Medicaid patients. Additional factors associated with delayed diagnosis included female sex, higher levels of patient comorbidity, and living in a low-income zip code. Delayed diagnosis was associated with a 1.38 (95% CI, 1.36-1.61) increased adjusted rate of postoperative 30-day hospital use. Conclusions and Relevance: In this cohort study, non-Hispanic Black patients had higher rates of delayed appendicitis diagnosis and 30-day hospital use than White patients. Patients presenting to hospitals with a greater than 50% Black and Hispanic population were less likely to experience delayed diagnosis, suggesting that seeking care at a hospital that serves a diverse patient population may help mitigate the increased rate of delayed diagnosis observed for non-Hispanic Black patients.

Modeling the Likelihood of Low Birth Weight: Findings from a Chicago-Area Health System.

OBJECTIVE: This study presents a statistical model of the incidence of low birth weight (LBW) births in a large, Chicago-area hospital system. The study was undertaken to provide a strategic framework for future health system interventions. METHODS: Administrative and electronic health records were matched to census Zip Code Tabulation Area (ZCTA) household poverty data for 42,681 births in 2016-2019 at seven system hospitals, serving a diverse patient population. A logistic regression model of LBW incidence was estimated to test the independent significance of maternal sociodemographic characteristics after controlling for clinical risk factors. RESULTS: The incidence of LBW was 6.3% overall but 11.3% among non-Hispanic Black patients as compared to 5.1% among non-Hispanic White patients. LBW incidence ranged from 9.2% for patients from the poorest ZCTA (20% + poor households) compared to 5.6% of patients from the most affluent (< 5% poor) ZCTA. Nulliparous patients, patients with pre-existing chronic conditions, and patients with hypertensive disorders of pregnancy were significantly more likely to have LBW births. After controlling for clinical risk factors and poverty level, non-Hispanic Black patients were still over 80% more likely and to have a LBW birth. DISCUSSION: Study findings reveal the joint effects of social and clinical risk factors. Findings profile our highest-risk populations for targeted interventions. Promising prenatal care redesign programs include pregnancy patient navigators, home and group visits, eHealth telemonitoring, improved mental health screening, and diversification of the maternity care workforce. Decreasing LBW births should be a national public health policy priority and will require major investments in the most impacted communities.

Obstetric Provider Perspectives on Postpartum Patient Navigation for Low-Income Patients.

BACKGROUND: Patient navigation programs have shown promise for improving health but are not widely used in obstetric care. Our objective was to understand obstetric provider perspectives on how to implement patient navigation to optimize care during the postpartum period for low-income patients. METHOD: Focus groups were conducted with obstetric physicians, nurses, and social workers who care for low-income pregnant and postpartum patients in an academic medical center. Semistructured interview guides were developed to elicit conversations about the potential value of patient navigators, recommendations for navigator training, and how navigators could be most effective in improving postpartum care. Analysis of themes was based on the constant comparative method. RESULTS: Twenty-six obstetric providers (six focus groups) discussed elements for a successful obstetric navigation program. Successful implementation themes included selecting navigators with appropriate interpersonal attributes, arranging navigator training, and identifying the most valuable services navigators could render. Desirable navigator attributes included persistence in patient advocacy, consistency, relatability, and a supportive manner. Training recommendations included learning the health care system, identifying where to obtain health system and community resources, and learning how be effective health educators. Suggested services were broad, ranging from traditional care coordination to specific educational and resource-driven tasks. CONCLUSIONS: Obstetric providers perceive patient navigation to be a potentially beneficial resource to support low-income patients and offered recommendations for navigation implementation. These included suggestions for patient-centered navigators, with specific training and services focused on promoting care continuity and coordination.

Variations in COVID-19 Hospital Mortality by Patient Race/Ethnicity and Hospital Type in Illinois.

BACKGROUND AND OBJECTIVES: It is controversial whether hospital care mitigated or exacerbated population level racial and ethnic disparities in COVID-19 mortality. To begin answering that question, this study analyzed variations in COVID-19 hospital mortality in Illinois by patient race and ethnicity and by hospital characteristics, while providing an estimate of hospital-level variation in COVID-19 mortality. METHOD: This is a retrospective cohort study based on hospital administrative data for adult patients with COVID-19 discharged from acute care, non-federal Illinois hospitals from April 1, 2020 through June 30, 2021. The association of patient and hospital characteristics with the likelihood of death was analyzed using multilevel logistic regression. RESULTS: There were 158,569 COVID-19-coded admissions to 181 general hospitals in Illinois; 14.5% resulted in death or discharge to hospice. Hospital deaths accounted for nearly 90% of all COVID-19-associated deaths over 15 months in Illinois. After adjusting for patient- and hospital-level characteristics, Hispanic patients had higher mortality risk (aOR 1.26, 95% CI: 1.20-1.33) as compared with non-Hispanic White patients, while non-Hispanic Black patients had lower mortality risk (aOR 0.75, 95% CI: 0.71-0.79). Safety net hospitals receiving disproportionate share hospital (DSH) funds had higher mortality risk (aOR 1.81, 95% CI: 1.43-2.30) compared with other hospitals. CONCLUSION: Risk-adjusted COVID-19 hospital mortality was highest among patients of Hispanic ethnicity, while non-Hispanic Black patients had lower risk than non-Hispanic White patients. There was significant variation in hospital mortality rates, with particularly high safety net hospital mortality.

The epidemiology of skin cancer by UV index: cross-sectional analysis from the 2019 behavioral risk factor surveillance survey.

The extent to which the Ultraviolet (UV) index is associated with the prevalence of melanoma and keratinocyte cancer in the United States is not clear. We conducted a cross-sectional study using the Center for Disease Control and Prevention's (CDC) 2019 Behavioral Risk Factor Surveillance System (BRFSS) telephone interview survey to investigate the epidemiology of skin cancer in the US including age, household income, education, and marital and employment status. Of non-Hispanic white respondents, 9.6% (N = 29,925) reported a being told of a skin cancer diagnosis. The prevalence of skin cancer was significantly higher in high UV (> / = 8) states (11.8%, N = 36,575) than in medium UV (6-7) (9.0%, N = 27,812) and lower UV (< / = 5) (7.8%, N = 24,083) states (p < .0001). Respondents from a medium UV or high UV state had higher odds (1.21 [1.15-2.27], 1.55[1.47-1.63], respectively) of reporting a skin cancer diagnosis than those from a low UV state. The association of UV index with lifetime skin cancer prevalence reinforces the importance of educating patients on preventive practices such as avoidance of tanning beds and usage of UV protection with clothing and sunscreen.

Emergency department visits and hospitalizations among patients with sickle cell disease in illinois, 2016-2020.

Sickle cell disease (SCD) state level surveillance data are limited. We performed a retrospective review of emergency department (ED) visits and hospitalizations from individuals with SCD in Illinois (2016-2020) using the Illinois Health and Hospital Association's Comparative Health Care and Hospital Data Reporting Services. There were 48,094 outpatient ED visits and 31,686 hospitalizations. Most visits (67%) occurred in Cook County, were covered by public insurance (77%) and were from individuals with medium high (40.3%) or high (36.1%) poverty levels. SCD healthcare utilization remains high and surveillance data may inform SCD program development and resource allocation at the state level.AbbreviationsCDCCenters for Disease Control and PreventionEDEmergency DepartmentFDAFood & Drug AdministrationICDInternational Classification of DiseasesILIllinoisSCDSickle cell disease.

National trends in the quality of segmentectomy for lung cancer.

OBJECTIVE: Segmentectomy has become an accepted procedure for the treatment of non-small cell lung cancer. Adequate lymph node sampling, sufficient margins, and proper tumor size selection are factors vital for achieving outcomes comparable to lobectomy. Previous studies have demonstrated poor adherence to lymph node sampling guidelines. However, national trends in the quality of segmentectomy and implications on survival are unknown. METHODS: The National Cancer Database was used to identify patients with clinical stage I to IIA non-small cell lung cancer surgically treated between 2004 and 2018. Facility-level trends in extent of resection and segmentectomy odds of adherence to (1) 2014 Commission on Cancer guidelines of sampling 10 or more lymph nodes, (2) negative (R0) resection margins, and (3) tumor size 2 cm or less were determined. Propensity score matching was based on segmentectomy adherence to (4) a composite of all measures, and survival was evaluated with Cox models and Kaplan-Meier survival estimates. RESULTS: The study included 249,391 patients with 4.4% (n = 11,006) treated with segmentectomy. The proportion of segmentectomies performed annually increased from 3.3% in 2004 to 6.1% in 2018 (P < .001). Overall, 12.6% (n = 1385) of patients who underwent segmentectomy between 2004 and 2018 were adherent to all measures, and adherence was more likely at academic programs (odds ratio, 1.56; 95% confidence interval, 1.14-2.15) than nonacademic programs (P < .001, reference). Adherence to all measures was associated with improved survival (hazard ratio, 0.67; 95% confidence interval, 0.56-0.79). CONCLUSIONS: As segmentectomy is increasingly established as a valid oncological option for the treatment of non-small cell lung cancer, it is important that quality remains high. This study demonstrates that continued improvement is needed.