Dr. Jiyeong Kim is a post-doctoral scholar at the Stanford Center for Digital Health and the Department of Dermatology School of Medicine. Dr. Kim is a computational epidemiologist, harnessing patient-and caregiver-generated health information and data to design patient-centered health interventions, which could be tailored to each patient group for improving patient engagement and better health outcomes.
In her work, Dr. Kim uses artificial intelligence, machine learning, and natural language processing to understand patients' and caregivers' genuine voices of care needs and needed support. As a multidisciplinary epidemiologist, Dr. Kim's work focuses on translational health data science, embracing the intersection of mental health and digital health and expanding to patient-provider communications and health disparities among cancer survivors and caregivers of individuals with chronic conditions (e.g., Alzheimer's Disease and Related Dementia).
-LLMs and generative AI to Listen to the Patient
-Generative AI-Assisted Enhanced Patient Care
-ML-based Disease Prediction Modeling
-Digital Mental Health Tools
-Patient-Generated Data and Precision Health
Doctor of Philosophy, University of California Davis (2023)
PhD, University of California, Davis, Public Health Sciences (2023)
MPH, Johns Hopkins Bloomberg School of Public Health, Public Health (2014)
BPharm, Chung-Ang University, Pharmacy (2007)
Eleni Linos, Postdoctoral Faculty Sponsor
Prevalence and associations of poor mental health in the third year of COVID-19: U.S. population-based analysis from 2020 to 2022.
2023; 330: 115622
BACKGROUND: Poorer mental health was found early in the COVID-19 pandemic, yet mental health in the third year of COVID-19 has not been assessed on a general adult population level in the United States.METHODS: We used a nationally representative cross-sectional survey (Health Information National Trends Survey, HINTS 5 2020 n=3,865 and HINTS 6 2022 n=6,252). The prevalence of poor mental health was examined using a Patient Health Questionnaire-4 scale in 2020 and 2022. We also investigated the factors associated with poor mental health in 2022 using a weighted multivariable logistic regression adjusting for sociodemographic and health status characteristics to obtain the odds ratio (OR).OUTCOMES: The prevalence of poor mental health in adults increased from 2020 to 2022 (31.5% vs 36.3%, p=0.0005). U.S. adults in 2022 were 1.28 times as likely to have poor mental health than early in the pandemic. Moreover, individuals with food insecurity, housing instability, and low income had greater odds of poor mental health (ORs=1.78-2.55). Adults who were females, non-Hispanic Whites, or age 18-64 years were more likely to have poor mental health (ORs=1.46-4.15).INTERPRETATION: Mental health of U.S. adults worsened in the third year of COVID-19 compared to the beginning of the pandemic.
View details for DOI 10.1016/j.psychres.2023.115622
View details for PubMedID 38006717
- Assessing Biases in Medical Decisions via Clinician and AI Chatbot Responses to Patient Vignettes. JAMA network open 2023; 6 (10): e2338050
Factors Associated with Online Patient-Provider Communications Among Cancer Survivors in the United States during COVID: A Cross-Sectional Study.
BACKGROUND: Online Patient-Provider Communication (OPPC) is crucial in enhancing access to health information, self-care, and related health outcomes among cancer survivors. The necessity of OPPC increased during SARS/COVID-19 (COVID), yet investigations in vulnerable subgroups have been limited.OBJECTIVE: Thus, this study aimed to assess the prevalence of OPPC and sociodemographic and clinical characteristics associated with OPPC among cancer survivors and adults without a history of cancer during COVID vs. pre-COVID.METHODS: Nationally representative cross-sectional survey data (Health Information National Trends Survey, HINTS 5 2017-2020) was used among cancer survivors (n= 1,900) and adults without a history of cancer (n= 13, 292). COVID included data from February to June 2020. We calculated the prevalence of three types of OPPC, defined as using email/internet, tablet/smartphone, or Electronic Health Records (EHR) for patient-provider communication, in the past 12 months. To investigate the associations of sociodemographic and clinical factors with OPPC, multivariable-adjusted weighted logistic regression was performed to obtain odds ratios (OR) and 95% confidence intervals (95% CI).RESULTS: The average prevalence of OPPC increased from pre-COVID to COVID among cancer survivors (39.7% vs. 49.7%, email/internet; 32.2% vs. 37.9%, tablet/smartphone; 19.0% vs. 30.0%, EHR). Cancer survivors (OR=1.32, 95% CI 1.06-1.63) were slightly more likely to use email/internet communications than adults without a history of cancer prior to COVID. Among cancer survivors, email/internet (OR=1.61, 1.08-2.40) and EHR (OR=1.92, 1.22-3.02) were more likely to be used during COVID than pre-COVID. During COVID, subgroups of cancer survivors, including Hispanics (OR=0.26, 0.09-0.71 vs. non-Hispanic Whites), or those with the lowest income (OR=6.14, 1.99-18.92 $50,000 to <$75,000; OR=0.42, 1.56-11.28 ≥ $75,000 vs. <$20,000), with no usual source of care (OR=6.17, 2.12-17.99), or reporting depression (OR=0.33, 0.14-0.78) were less likely to use email/internet and those who were the oldest (OR=9.33, 2.18-40.01 age 35-49; OR=3.58, 1.20-10.70 age 50-64; OR=3.09, 1.09-8.76 age 65-74 vs. ≥75), unmarried (OR=2.26, 1.06-4.86) or had public/no health insurance (ORs=0.19-0.21 Medicare, Medicaid, or Other, vs. private) were less likely to use tablet/smartphone to communicate with providers. Cancer survivors with a usual source of care (OR=6.23, 1.66-23.39) or healthcare office visits within a year (ORs=7.55-8.25) were significantly more likely to use EHR to communicate. While not observed in cancer survivors, lower education level was associated with lower OPPC among adults without a history of cancer during COVID.CONCLUSIONS: Our findings identified vulnerable subgroups of cancer survivors who were left behind in online patient-provider communications which are becoming an increasing part of healthcare. Those vulnerable subgroups of cancer survivors with lower OPPC should be helped through multidimensional interventions to prevent further inequities.CLINICALTRIAL: Not applicable.
View details for DOI 10.2196/44339
View details for PubMedID 37074951
Effectiveness of Digital Mental Health Tools to Reduce Depressive and Anxiety Symptoms in Low- and Middle-Income Countries: Systematic Review and Meta-analysis.
JMIR mental health
2023; 10: e43066
Depression and anxiety contribute to an estimated 74.6 million years of life with disability, and 80% of this burden occurs in low- and middle-income countries (LMICs), where there is a large gap in care.We aimed to systematically synthesize available evidence and quantify the effectiveness of digital mental health interventions in reducing depression and anxiety in LMICs.In this systematic review and meta-analysis, we searched PubMed, Embase, and Cochrane databases from the inception date to February 2022. We included randomized controlled trials conducted in LMICs that compared groups that received digital health interventions with controls (active control, treatment as usual, or no intervention) on depression or anxiety symptoms. Two reviewers independently extracted summary data reported in the papers and performed study quality assessments. The outcomes were postintervention measures of depression or anxiety symptoms (Hedges g). We calculated the pooled effect size weighted by inverse variance.Among 11,196 retrieved records, we included 80 studies in the meta-analysis (12,070 participants n=6052, 50.14% in the intervention group and n=6018, 49.85% in the control group) and 96 studies in the systematic review. The pooled effect sizes were -0.61 (95% CI -0.78 to -0.44; n=67 comparisons) for depression and -0.73 (95% CI -0.93 to -0.53; n=65 comparisons) for anxiety, indicating that digital health intervention groups had lower postintervention depression and anxiety symptoms compared with controls. Although heterogeneity was considerable (I2=0.94 for depression and 0.95 for anxiety), we found notable sources of variability between the studies, including intervention content, depression or anxiety symptom severity, control type, and age. Grading of Recommendations, Assessments, Development, and Evaluation showed that the evidence quality was overall high.Digital mental health tools are moderately to highly effective in reducing depression and anxiety symptoms in LMICs. Thus, they could be effective options to close the gap in depression and anxiety care in LMICs, where the usual mental health care is minimal.PROSPERO CRD42021289709; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=289709.
View details for DOI 10.2196/43066
View details for PubMedID 36939820
View details for PubMedCentralID PMC10131603
Cancer survivors with sub-optimal patient-centered communication before and during the early COVID-19 pandemic.
Patient education and counseling
2023; 115: 107876
OBJECTIVES: Patient-Centered Communication (PCC) is an essential element of patient-centered cancer care. Thus, this study aimed to examine the prevalence of and factors associated with optimal PCC among cancer survivors during COVID-19, which has been less studied.METHODS: We used national survey (Health Information National Trends Survey) among cancer survivors (n=2579) to calculate the prevalence (%) of optimal PCC in all 6 PCC domains and overall (mean) by time (before COVID-19, 2017-19 vs. COVID-19, 2020). Multivariable logistic regressions were performed to explore the associations of sociodemographic (age, birth gender, race/ethnicity, income, education, usual source of care), and health status (general health, depression/anxiety symptoms, time since diagnosis, cancer type) factors with optimal PCC.RESULTS: The prevalence of optimal PCC decreased during COVID-19 overall, with the greatest decrease in managing uncertainty (7.3%). Those with no usual source of care (odd ratios, ORs =1.53-2.29), poor general health (ORs=1.40-1.66), depression/anxiety symptoms (ORs=1.73-2.17) were less likely to have optimal PCC in most domains and overall PCC.CONCLUSIONS: We observed that the decreased prevalence of optimal PCC, and identified those with suboptimal PCC during COVID-19.PRACTICE IMPLICATIONS: More efforts to raise awareness and improve PCC are suggested, including education and guidelines, given the decreased prevalence during this public health emergency.
View details for DOI 10.1016/j.pec.2023.107876
View details for PubMedID 37406471
Impact of COVID-19, cancer survivorship and patient-provider communication on mental health in the US Difference-In-Difference.
npj Mental Health Research
2023; 2 (14)
View details for DOI 10.1038/s44184-023-00034-x
Characterizing risky alcohol use, cigarette smoking, e-cigarette use, and physical inactivity among cancer survivors in the USA-a cross-sectional study
JOURNAL OF CANCER SURVIVORSHIP
Unhealthy lifestyle behaviors are associated with inferior health outcomes among cancer survivors, including increased mortality. It is crucial to identify vulnerable subgroups, yet investigations have been limited. Thus, this study aimed to examine sociodemographic and clinical characteristics associated with risky health behaviors among cancer survivors.We used national, cross-sectional survey data (Health Information National Trends Survey, HINTS 2017-2020) for 2579 cancer survivors. We calculated the prevalence of risky alcohol use, current cigarette smoking, e-cigarette use, and not meeting physical activity guidelines. We performed weighted logistic regression to obtain multivariable-adjusted odds ratios (OR) for the association between each unhealthy behavior with sociodemographic and clinical characteristics.Overall, 25% showed risky alcohol use, 12% were current cigarette smokers, 3% were current e-cigarette users, and 68% did not meet physical activity guidelines. Cancer survivors who were males, non-Hispanic Whites or African Americans, without a college education, not married and with comorbidities or psychological distress were more likely to have unhealthy behaviors. Those with lung disease or depression were 2 times as likely to smoke cigarette or e-cigarettes and those with psychological distress were 1.6 times as likely to be physically inactive. Moreover, risky drinkers (OR = 1.75, 95% CI = 1.22-2.52) and e-cigarette smokers (OR = 16.40, 95% CI 3.29-81.89) were more likely to be current cigarette smokers.We identified vulnerable subpopulations of cancer survivors with multiple unhealthy lifestyle behaviors.Our findings inform clinicians and program and policy makers of the subgroups of cancer survivors to target for multiple health behavior interventions.
View details for DOI 10.1007/s11764-022-01245-5
View details for Web of Science ID 000840291700001
View details for PubMedID 35963976
View details for PubMedCentralID 2988633
Sociodemographic factors associated with HPV awareness/knowledge and cervical cancer screening behaviors among caregivers in the U.S
BMC WOMENS HEALTH
2022; 22 (1): 335
Family caregivers may be at a higher risk for several chronic diseases, including cancer. Cervical cancer is one of the most common causes of cancer death among women. Despite family caregivers' vulnerability, the status of their HPV awareness, knowledge, and preventive health behaviors, including cervical cancer screening, has been understudied. Thus, this study aimed to examine the sociodemographic factors associated with HPV awareness and knowledge and adherence to the cervical cancer screening guidelines among caregivers in the U.S.Nationally representative cross-sectional survey data were obtained from the Health Information National Trends Survey (HINTS 5, 2017-2020). Female caregivers aged 21-65 were included (N = 1190). Weighted multivariable logistic regression was performed to identify factors associated with HPV awareness (heard of HPV), knowledge (HPV can cause cervical cancer), and adherence to the United States Preventive Service Task Force 2018 cervical cancer screening guidelines by sociodemographic factors (age, race/ethnicity, education, household income, marital status,) and the intensity of caregiving.An estimated 79% of female caregivers were aware of HPV and 84% adhered to the cervical cancer screening guidelines. Caregivers who were older than 50 (OR = 3.62, 1.91-6.85, adherence of aged 21-50 vs. 51-65), Hispanics of race/ethnicity compared with Black/African Americans (OR = 3.14, 1.31-7.52, adherence of Black/African Americans vs. Hispanics), with a high school education or less (OR = 2.34, 1.14-4.82, adherence of Some college or more vs. High school education or less), and with intense caregiving duty (spending 35 h/week or more on caregiving) compared with light-duty (OR = 2.34, 1.10-5.00, adherence of 5-14 h vs. 35 h or more, weekly) had poor adherence to the cervical cancer screening guidelines. Caregivers who were older, racial minorities (Asian, Native Hawaiian/Pacific Islander, American Indian/Alaska Native, Multiple races), and less educated showed lower HPV awareness (Heard of HPV) than their counterparts.There are caregiving populations whose HPV awareness and cervical cancer screening adherence are low. To improve their awareness and knowledge of HPV and support their cervical cancer screening behaviors, we need to consider interventions that target those specific populations.
View details for DOI 10.1186/s12905-022-01918-4
View details for Web of Science ID 000837679800002
View details for PubMedID 35941594
View details for PubMedCentralID PMC9358833
The Rationale for Economic Evaluation in Speech and Language: Cost, Effectiveness, and Cost-effectiveness
SEMINARS IN SPEECH AND LANGUAGE
2022; 43 (03): 208-217
Economic evaluation studies the costs and outcomes of two or more alternative activities to estimate the relative efficiency of each course of action. Economic evaluation is both important and necessary in the management of speech and language issues. Economic evaluation can help focus attention on interventions that provide value for improving population health. The purpose of this article is to introduce readers to fundamental economic concepts. Readers are also introduced to common issues when conducting economic evaluations and how to address them in practice.
View details for DOI 10.1055/s-0042-1750345
View details for Web of Science ID 000827789000004
View details for PubMedID 35858606