Browsing by Author "Park, Seho"
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Item Area-Level Indices and Health Care Use in a Pediatric Brain and Central Nervous System Tumor Cohort: Observational Study(JMIR, 2025-05-02) Tran, Yvette H.; Park, Seho; Coven, Scott L.; Mendonca, Eneida A.; Health Policy and Management, Richard M. Fairbanks School of Public HealthBackground: While survival among pediatric patients with cancer has advanced, disparities persist. Public health tools such as the Area Deprivation Index, the Child Opportunity Index (COI), and the Social Vulnerability Index (SVI) are potential proxies for social determinants of health and could help researchers, public health practitioners, and clinicians identify neighborhoods or populations most likely to experience adverse outcomes. However, evidence regarding their relationship with health care use, especially in the pediatric population with cancer, remains mixed. Objective: We sought to evaluate the relationship between emergency department (ED) visits and hospitalizations with these area-level indices in our study population. Methods: We conducted a cross-sectional study of pediatric patients with brain and central nervous system tumors in a single Midwestern state who were diagnosed between 2010 and 2020. We fitted zero-inflated Poisson models for counts of ED and inpatient visits to determine if any of these use measures were associated with our 3 area-level indices. Finally, we mapped index quintiles onto neighborhoods to visualize and compare how each index differentially ranks neighborhoods. Results: Our study cohort consisted of 524 patients; 78.6% (n=412) of them had no recorded ED visit, and 39.7% (n=208) had no record of hospitalization. Moderate (coefficient=0.306; P=.01) and high (coefficient=0.315; P=.01) deprivation were associated with more ED visits. Both low child opportunity (coefficient=0.497; P<.001) and very high child opportunity (coefficient=0.328; P=.01) were associated with more ED visits. All quintiles of SVI were associated with ED visits, but the relationship was not dose-dependent. Low and very high deprivation were associated with hospitalizations, but COI and SVI were not. Additionally, by overlaying index quintiles onto census tracts and census block groups, we showed that most patients who had an ED visit lived in disadvantaged neighborhoods based on Area Deprivation Index rankings, but not necessarily COI or SVI rankings. Conclusions: Although indices provide useful context about the environment in which our patient population resides in, we found little evidence that neighborhood conditions as measured by these indices consistently or reliably relate to health care use.Item Association Between Quality of Life and Depression in Dyads of Older Primary Care Patients and Family Members(Oxford University Press, 2022-12-20) Fowler, Nicole; Perkins, Anthony; Park, Seho; Schroeder, Matthew; Boustani, Malaz; School of NursingFamilial dyads experience illness as an interdependent unit. We evaluate the association of quality of life (QOL), as measured by physical (PCS) and mental health component (MCS) scores, with depression in dyads of older primary care patients and a family member. This is a cross sectional, descriptive study where QOL and depression were measured concurrently in the dyad using baseline data from 1809 dyads enrolled in a trial testing the benefits and harms of Alzheimer’s disease and related dementias (ADRD) screening. QOL was measured with the SF-36, depression was measured with the PHQ-9, and the association of depression with QOL was examined using an actor-partner interdependence model with distinguishable dyads. Patient mean (SD) age was 73.7 (5.7) years; 53.1% women; 85.1% white; 13.4% black. Family member mean (SD) age was 64.2 (13) years; 67.7% women; 13.4% black. A patient’s spouse/partner were 64.8% of family members. After controlling for dyadic relationship and gender, significant actor effects of depression on PCS for patient (β= -1.39; p< 0.001) and family member (β =-0.954; p< 0.001), and significant partner effects of depression on PCS for patient (β=-0.15, p< 0.05) and family member (β =-0.18; p< 0.01). There were significant actor effects of depression on MCS for patient (β =-1.2; p< 0.001) and family member (β=-1.2; p< 0.001), but depression had a significant partner effect on MCS only for patient (β = -0.08; p< 0.05). Among dyads participating in an ADRD screening trial, dyads with higher depression had lower QOL. Family member depression was associated with decreased family member and patient QOL.Item Changes in Health Information Exchange Use Behavior After Introduction of a Fast Healthcare Interoperability Resources (FHIR) Application(American Medical Informatics Association, 2025-05-22) Kampman, Haleigh M.; Rivera, Rebecca L.; Park, Seho; Schaffer, Jason T.; Hancock, Amy; Rahurkar, Saurabh; Musey, Paul; Kuhn, Diane; Vest, Joshua R.; Schleyer, Titus K.; Health Policy and Management, Richard M. Fairbanks School of Public HealthThe aim of our study was to characterize emergency department clinicians' health information exchange (HIE) use patterns after the implementation of a Fast Healthcare Interoperability Resources (FHIR) application. Using longitudinal electronic health record log data, we categorized HIE use behavior as: no HIE use (0), Web-based viewer use only (1), FHIR application use only (2), or Web-based viewer and FHIR application use (3). We sequenced HIE use behavior from September 2019 to February 2023, then employed hierarchical agglomerative clustering to identify clinician characteristics associated with each HIE use pattern. Our results showed four usage patterns representing (1) clinicians who "lagged" in HIE use and continued as sporadic HIE users (n=66, 46.1%), (2) "late adopters" who had more consistent usage over time (n=32, 22.4%), (3) "legacy users" whose preferred modality was the Web-based viewer (n=25, 17.5%), and (4) "mixed modality users" who displayed frequent changes in HIE access modality (n=20, 14.0%).Item Combining non-probability and probability survey samples through mass imputation(Wiley, 2021-07) Kim, Jae Kwang; Park, Seho; Chen, Yilin; Wu, Changbao; Biostatistics, School of Public HealthAnalysis of non-probability survey samples requires auxiliary information at the population level. Such information may also be obtained from an existing probability survey sample from the same finite population. Mass imputation has been used in practice for combining non-probability and probability survey samples and making inferences on the parameters of interest using the information collected only in the non-probability sample for the study variables. Under the assumption that the conditional mean function from the non-probability sample can be transported to the probability sample, we establish the consistency of the mass imputation estimator and derive its asymptotic variance formula. Variance estimators are developed using either linearization or bootstrap. Finite sample performances of the mass imputation estimator are investigated through simulation studies. We also address important practical issues of the method through the analysis of a real-world non-probability survey sample collected by the Pew Research Centre.Item DEI-05. Assessing Household Material Hardship in Children with Central Nervous System (CNS) Tumors(Oxford University Press, 2024-06-18) Coven, Scott L.; Tran, Yvette H.; Park, Seho; Mendonça, Eneida A.; Pediatrics, School of MedicineBACKGROUND: Household material hardship (HMH) is defined as unmet basic needs including food, heat, housing, or transportation. Researchers have documented higher rates of poor nutrition, injury, infectious disease, and hospitalization in healthy children living in families with household material hardship. Furthermore, targeted interventions exist to modify these health outcomes. However, little is known regarding the relationship between social determinants of health and their impact on overall and quality of survival for children with brain or spinal cord tumors. The current available information is based upon retrospective and secondary data sources, often limited to basic socioeconomic factors such as race and ethnicity. The objective was to describe the change in household material hardship through patient reported outcome measures from baseline to six-months and explore the association between social determinants of health, including prospective household material hardship data, and clinical outcomes among children with brain and spinal cord tumors. METHODS: We aimed to enroll 150 patients with a brain or spinal cord tumors who were followed by the Pediatric Neuro-Oncology Program at Riley Hospital for Children at IU Health. These participants were approached during their routinely scheduled clinic visits by a member of the study team. Written or verbal consent/assent was obtained, and their data was transcribed into a REDCap™ database. RESULTS: To date, we have enrolled 118 children onto this study, with 35/76 participants completing their six-month follow-up survey. In line with Kira Bona’s previous work, we have found that around 30% acknowledged one positive domain of household material hardship. Additionally, we have found that almost 40% of our cohort fall below the 200% Federal Poverty Level, which is often considered a cutpoint for lower socioeconomic status. CONCLUSIONS: We have shown that collecting prospective patient reported sociodemographic information is feasible in a busy clinical setting.Item Emergency physician risk tolerance in acute heart failure is higher than previously thought and compatible with modern disposition decision instruments(Wiley, 2023) Harrison, Nicholas E.; Koester, Jami; Farmer, Annabelle; Hannon, Aidan; Jakupco, Nicholas; Nanagas, Jill; Park, Seho; Li, Xiaochun; Collins, Sean; Monahan, Patrick; Pang, Peter S.; Emergency Medicine, School of MedicineItem The Relationship Between COVID 19 Anxiety and Dementia Caregivers Burden and Suffering(Oxford University Press, 2021) Lucas, Kaitlyn; Batista-Malat, Eleanor; Park, Seho; Johns, Shelly; Fowler, Nicole; Judge, Katherine; Biostatistics, School of Public HealthThe impact of COVID-19 on dementia caregivers is gaining new interest. It is unknown how the pandemic has impacted caregivers’ burden and existential suffering. Analyses were performed on data for dementia caregivers (n=89) enrolled in the Indiana University Telephone Acceptance and Commitment Therapy for Caregivers (TACTICs) pilot trials. Individuals were primary caregivers of a family member with dementia and had clinically significant anxiety measured by a GAD-7 score >10 or between 5-9 with reported interference in life. COVID-19 anxiety was measured using the NIH CoRonavIruS Health Impact Survey (CRISIS) questions. Caregivers were on average 55.2 years of age with 56.2% being child or child-in-law, 71.9% were white and 24.7% were Black. Mean burden scores, measured by the Zarit Burden Index, were higher (44.29) compared to means reported across the literature (26.7) indicating the sample experienced higher than normal levels of burden. Mean existential suffering scores measured by the subscale of Experience of Suffering Scale were lower (9.37) compared to means across the literature (11.5) indicating that overall participants experienced lower levels of existential suffering compared to those in previous studies. A significant relationship was found between COVID-19 anxiety and burden levels (x2= 9.07, p<0.05), with higher levels of COVID-19 anxiety associated with greater burden. A non-significant relationship was found between COVID-19 anxiety and existential suffering (x2=5.99, p=0.11). Results highlight the impact of COVID-19 anxiety as an external stressor on dementia caregiving. and the importance of considering context of external stressors when implementing intervention protocols for caregivers of individuals with dementia.Item The Relationship Between Dementia Severity & Caregiver Preferences for Decision Making Role Regarding Mammography(Oxford University Press, 2021-12-17) Frank, Molly; Park, Seho; Lane, Kathleen; Torke, Alexia; Schonberg, Mara; Sachs, Greg; Schwartz, Peter; Fowler, Nicole; Biostatistics, School of Public HealthThe incidence of Alzheimer’s disease and related dementias (ADRD) and breast cancer increases with age. Despite being one of the most effective ways to diagnose breast cancer early, mammography in ADRD patients comes with an increased risk of treatment complications and false-positive results. Family caregivers are often involved in the decision-making process, and this study evaluates the relationship between dementia severity and caregiver preferences when making decisions about mammography with the patient alone, and with the patient and doctor. We included 181 caregivers from the Decisions about Cancer screening in Alzheimer’s Disease trial, which uses the Dementia Severity Rating Scale (DSRS) to assess dementia severity and a modified Control Preferences Scale (CPS) to assess each caregiver’s preferred decision-making approach. Multinomial logistic regression models evaluated the relationship between DSRS and CPS categories (active, passive, and collaborative), while controlling for the caregivers’ age, sex, race, education, and relationship to patient. Model 1 examined the caregivers’ preferred role with the patient, and it found a significant association between increased dementia severity and preference for a collaborative approach (p<0.001) or passive approach (p<0.05) compared to an active approach. Model 2 did not find a significant association between dementia severity and the caregivers’ preferred role when making decisions with the patient and doctor; however, those with increased age and education were more likely to prefer an active role. The association between dementia severity, caregiver characteristics, and decision-making preferences supports the need for approaches to support ADRD caregivers with medical decision making.Item Relationship between health-related quality of life, depression, and anxiety in older primary care patients and their family members(Taylor & Francis, 2024) Fowler, Nicole R.; Perkins, Anthony J.; Park, Seho; Schroeder, Matthew W.; Boustani, Malaz A.; Head, Katharine J.; Bakas, Tamilyn; Communication Studies, School of Liberal ArtsObjectives Patient-family member dyads experience transitions through illness as an interdependent team. This study measures the association of depression, anxiety, and health-related quality of life (HRQOL) of older adult primary care patient-family member dyads. Methods Baseline data from 1,808 patient-family member dyads enrolled in a trial testing early detection of Alzheimer’s disease and related dementias in primary care. Actor-Partner Independence Model was used to analyze dyadic relationships between patients’ and family members’ depression (PHQ-9), anxiety (GAD-7), and HRQOL (SF-36 Physical Component Summary score and Mental Component Summary score). Results Family member mean (SD) age is 64.2 (13) years; 32.2% male; 84.6% White; and 64.8% being the patient’s spouse/partner. Patient mean (SD) age is 73.7 (5.7) years; 47% male; and 85.1% White. For HRQOL, there were significant actor effects for patient and family member depression alone and depression and anxiety together on their own HRQOL (p < 0.001). There were significant partner effects where family member depression combined with anxiety was associated with the patient’s physical component summary score of the SF-36 (p = 0.010), and where the family member’s anxiety alone was associated with the patient’s mental component summary score of the SF-36 (p = 0.031). Conclusion Results from this study reveal that many dyads experience covarying health status (e.g. depression, anxiety) even prior to entering a caregiving situation.Item Retention, Fasting Patterns, and Weight Loss With an Intermittent Fasting App: Large-Scale, 52-Week Observational Study(JMIR Publications, 2022-10-04) Torres, Luisa; Lee, Joy L.; Park, Seho; Di Lorenzo, R. Christian; Branam, Jonathan P.; Fraser, Shelagh A.; Salisbury, Benjamin A.; Health Policy and Management, School of Public HealthBackground: Intermittent fasting (IF) is an increasingly popular approach to dietary control that focuses on the timing of eating rather than the quantity and content of caloric intake. IF practitioners typically seek to improve their weight and other health factors. Millions of practitioners have turned to purpose-built mobile apps to help them track and adhere to their fasts and monitor changes in their weight and other biometrics. Objective: This study aimed to quantify user retention, fasting patterns, and weight loss by users of 2 IF mobile apps. We also sought to describe and model starting BMI, amount of fasting, frequency of weight tracking, and other demographics as correlates of retention and weight change. Methods: We assembled height, weight, fasting, and demographic data of adult users (ages 18-100 years) of the LIFE Fasting Tracker and LIFE Extend apps from 2018 to 2020. Retention for up to 52 weeks was quantified based on recorded fasts and correlated with user demographics. Users who provided height and at least 2 readings of weight and whose first fast and weight records were contemporaneous were included in the weight loss analysis. Fasting was quantified as extended fasting hours (EFH; hours beyond 12 in a fast) averaged per day (EFH per day). Retention was modeled using a Cox proportional hazards regression. Weight loss was analyzed using linear regression. Results: A total of 792,692 users were followed for retention based on 26 million recorded fasts. Of these, 132,775 (16.7%) users were retained at 13 weeks, 54,881 (6.9%) at 26 weeks, and 16,478 (2.1%) at 52 weeks, allowing 4 consecutive weeks of inactivity. The survival analysis using Cox regression indicated that retention was positively associated with age and exercise and negatively associated with stress and smoking. Weight loss in the qualifying cohort (n=161,346) was strongly correlated with starting BMI and EFH per day, which displayed a positive interaction. Users with a BMI ≥40 kg/m2 lost 13.9% of their starting weight by 52 weeks versus a slight weight gain on average for users with starting BMI <23 kg/m2. EFH per day was an approximately linear predictor of weight loss. By week 26, users lost over 1% of their starting weight per EFH per day on average. The regression analysis using all variables was highly predictive of weight change at 26 weeks (R2=0.334) with starting BMI and EFH per day as the most significant predictors. Conclusions: IF with LIFE mobile apps appears to be a sustainable approach to weight reduction in the overweight and obese population. Healthy weight and underweight individuals do not lose much weight on average, even with extensive fasting. Users who are obese lose substantial weight over time, with more weight loss in those who fast more.