Ninez A. Ponce, PhD, MPP, is the director of the UCLA Center for Health Policy Research, and Professor and Fred W. & Pamela K. Wasserman Endowed Chair in the Department of Health Policy and Management at the UCLA Fielding School of Public Health. She leads the California Health Interview Survey (CHIS), the nation’s largest state health survey, recognized as a national model for data collection on race and ethnicity, sexual orientation and gender identity (SOGI) and immigrant health.

CHIS is the only large-scale population survey that includes Tagalog, Vietnamese, Korean, Cantonese, and Mandarin, in addition to Spanish and English in administering the survey to a representative sample of California’s adults, adolescents, and young children. It is considered a gold standard for other state-level efforts on meaningful inclusion of Asian Americans and Pacific Islanders through oversampling or special samples, and by developing culturally and linguistically appropriate instruments. This approach has resulted in one of the richest datasets with sufficient subsample of the SOGI population, mixed immigrant status (citizen children with noncitizen parents) families, and several major Asian ethnic groups. CHIS is one of the few population datasets that collects information on American Indian/Alaska Native tribal enrollment and whether the tribe is state or federally-recognized.

Ponce is an elected member of the National Academy of Social Insurance and has served on the Board of Scientific Counselors, National Center for Health Statistics. She has participated in committees for the National Academy of Medicine and the National Quality Forum, where her expertise has focused on setting guidance for health systems in the measurement and use of social determinants of health as tools to monitor health equity.  She has received numerous awards from community organizations recognizing her work in community-engaged research. In 2019 Dr. Ponce and her team received the AcademyHealth Impact award for their contributions to population health measurement to inform public policies.

Ponce serves on the Data Disaggregation workgroup for the White House Asian American, Native Hawaiian, Pacific Islander Commission. Currently, she is an Associate Editor for Diversity, Equity and Inclusion at JAMA Health Forum. Her portfolio includes a mixture of scholarly work and real-time knowledge diffusion studies, with over 140 peer-reviewed publications, over 60 policy reports, and various creative data access tools to democratize health data.

Ponce champions better data, especially for people from marginalized racial and ethnic, sexual orientation and gender identity, and immigrant populations.  She firmly believes that equity-centered data will lead to more meaningful program and policy inferences and better care for overlooked groups.

Ponce earned her bachelor’s degree in science at UC Berkeley, her master’s degree in public policy at Harvard University, and her PhD in health services at UCLA.

Explore

Association Between Governmental Spending on Social Services and Health Care Use Among Low-Income Older Adults
Journal Article
Journal Article

Association Between Governmental Spending on Social Services and Health Care Use Among Low-Income Older Adults

Prior research demonstrates that local government spending on social policies, excluding health care, is linked to improved population health. Whether such spending is associated with better access to primary care and reduced acute care utilization remains unclear.

In this study, authors evaluated the associations between county-level social spending and individual-level health care utilization among low-income Medicare beneficiaries, aged ≥65 years, from 2016 to 2018. Authors linked claims data to 4 categories of county-level government expenditures from the U.S. Government Finance Database, including (1) public welfare, (2) public transit, (3) housing/community development, and (4) infrastructure-related social services. The main outcomes were annual primary care visit rates, emergency department visits, and preventable hospitalizations.

Findings: After adjusting for patient and county characteristics, beneficiaries living in counties with higher spending on housing/community development had 11% higher primary care visit rates. Additionally, those living in counties with higher public transit and housing/community development spending experienced 6%–10% lower preventable hospitalization rates. Lower preventable hospitalization rates were especially pronounced among acute conditions.

These findings suggest that investments in social services that address the health-related social needs of low-income older adults may be an important factor to consider in population-level efforts to reduce acute care utilization.
 

Breaking Barriers with Data Equity: The Essential Role of Data Disaggregation in Achieving Health Equity
Journal Article
Journal Article

Breaking Barriers with Data Equity: The Essential Role of Data Disaggregation in Achieving Health Equity

Achieving health equity necessitates high-quality data to address disparities that have remained stagnant or even worsened over time despite public health interventions. Data disaggregation, the breakdown of data into detailed subcategories, is crucial in health disparities research. It reveals and contextualizes hidden trends and patterns about marginalized populations and guides resource allocation and program development for specific needs in these populations.

Data disaggregation underpins data equity, which uses community engagement to democratize data and develop better solutions for communities. Years of research on disaggregation show that researchers must collaborate closely with communities for adequate representation. However, despite generally positive support for this approach in health disparities research, data disaggregation faces methodological and political challenges.

This review offers a framework for understanding data disaggregation in the context of data equity and highlights critical aspects of implementation, including challenges, opportunities, and recent policy and community-based efforts to address hurdles.
 

Racial and Ethnic Differences in Low-Value Care Among Older Adults in a Large Statewide Health System
Journal Article
Journal Article

Racial and Ethnic Differences in Low-Value Care Among Older Adults in a Large Statewide Health System

As value-based payment models incorporate both measures of health equity and low-value care (LVC), understanding how LVC varies by race is vital for interventions. Authors measured racial differences in LVC in a contemporary sample.

They analyzed claims from adults ≥ 55 years receiving care at five academic medical centers in California from 2019 to 2021. This sample included patients who received a service that could be classified as LVC. The primary outcome was whether a service was classified as LVC. Secondary outcomes included clinical categories of LVC (preventive screening, diagnostic testing, prescription drugs, and preoperative testing).

Findings: Among 15,720 members who received potentially LVC, non-Hispanic white older adults comprised 59% of the sample, followed by Asian (17%), unknown race (8%), Latino (8%), non-Hispanic Black (5%), and other race (2%). Asian, Black, and Latino older adults were less likely to receive LVC compared to white older adults, specifically preventive and preoperative services. Asian, Black, and Latino older adults, however, were more likely to receive low-value prescriptions.

These diverging racial patterns in LVC across different measures likely reflect differential mechanisms, underscoring the need to use clinically specific measures rather than composite measures, which obscure underlying heterogeneity and could lead to potentially harmful and inequity-producing interventions.
 

Assessing Narrative Patterns in Health Access, Outcomes, and Behaviors Across Three Data Sets from England, the United States, and California for Sexual Minority Adults
Journal Article
Journal Article

Assessing Narrative Patterns in Health Access, Outcomes, and Behaviors Across Three Data Sets from England, the United States, and California for Sexual Minority Adults

Researchers examined peer-reviewed publications analyzing data from the English GP Patient Survey (GPPS), U.S. National Health Interview Survey (NHIS), and California Health Interview Survey (CHIS) to explore how the health of sexual minority populations varies across settings and subgroups. They searched for English language articles published 2011–2022, screening abstracts, reviewing full text, and extracting data.

Authors conducted a content analysis to identify patterns across settings for sexual minority people compared with heterosexual counterparts and each other.

Findings: Across all settings, sexual minority adults had poorer health care access, worse health outcomes and patient experiences, more detrimental health behaviors, and greater health care services utilization (reflecting risk awareness and need). When subgroup data were reported, differences were greater among women, except for HIV and related cancers, which were most prevalent among sexual minority men. Sexual minority people generally reported significantly worse health access, outcomes, and behaviors in all three settings.
 

Racial and Ethnic Differences in Low-Value Care Among Older Adults in a Large Statewide Health System
Journal Article
Journal Article

Racial and Ethnic Differences in Low-Value Care Among Older Adults in a Large Statewide Health System

As value-based payment models incorporate both measures of health equity and low-value care (LVC), understanding how LVC varies by race is vital for interventions. Authors measured racial differences in LVC in a contemporary sample.

They analyzed claims from adults ≥ 55 years receiving care at five academic medical centers in California from 2019 to 2021. This sample included patients who received a service that could be classified as LVC. The primary outcome was whether a service was classified as LVC. Secondary outcomes included clinical categories of LVC (preventive screening, diagnostic testing, prescription drugs, and preoperative testing).

Findings: Among 15,720 members who received potentially LVC, non-Hispanic white older adults comprised 59% of the sample, followed by Asian (17%), unknown race (8%), Latino (8%), non-Hispanic Black (5%), and other race (2%). Asian, Black, and Latino older adults were less likely to receive LVC compared to white older adults, specifically preventive and preoperative services. Asian, Black, and Latino older adults, however, were more likely to receive low-value prescriptions.

These diverging racial patterns in LVC across different measures likely reflect differential mechanisms, underscoring the need to use clinically specific measures rather than composite measures, which obscure underlying heterogeneity and could lead to potentially harmful and inequity-producing interventions.
 

View All Publications

Breaking Barriers with Data Equity: The Essential Role of Data Disaggregation in Achieving Health Equity
Journal Article
Journal Article

Breaking Barriers with Data Equity: The Essential Role of Data Disaggregation in Achieving Health Equity

Achieving health equity necessitates high-quality data to address disparities that have remained stagnant or even worsened over time despite public health interventions. Data disaggregation, the breakdown of data into detailed subcategories, is crucial in health disparities research. It reveals and contextualizes hidden trends and patterns about marginalized populations and guides resource allocation and program development for specific needs in these populations.

Data disaggregation underpins data equity, which uses community engagement to democratize data and develop better solutions for communities. Years of research on disaggregation show that researchers must collaborate closely with communities for adequate representation. However, despite generally positive support for this approach in health disparities research, data disaggregation faces methodological and political challenges.

This review offers a framework for understanding data disaggregation in the context of data equity and highlights critical aspects of implementation, including challenges, opportunities, and recent policy and community-based efforts to address hurdles.
 

Association Between Governmental Spending on Social Services and Health Care Use Among Low-Income Older Adults
Journal Article
Journal Article

Association Between Governmental Spending on Social Services and Health Care Use Among Low-Income Older Adults

Prior research demonstrates that local government spending on social policies, excluding health care, is linked to improved population health. Whether such spending is associated with better access to primary care and reduced acute care utilization remains unclear.

In this study, authors evaluated the associations between county-level social spending and individual-level health care utilization among low-income Medicare beneficiaries, aged ≥65 years, from 2016 to 2018. Authors linked claims data to 4 categories of county-level government expenditures from the U.S. Government Finance Database, including (1) public welfare, (2) public transit, (3) housing/community development, and (4) infrastructure-related social services. The main outcomes were annual primary care visit rates, emergency department visits, and preventable hospitalizations.

Findings: After adjusting for patient and county characteristics, beneficiaries living in counties with higher spending on housing/community development had 11% higher primary care visit rates. Additionally, those living in counties with higher public transit and housing/community development spending experienced 6%–10% lower preventable hospitalization rates. Lower preventable hospitalization rates were especially pronounced among acute conditions.

These findings suggest that investments in social services that address the health-related social needs of low-income older adults may be an important factor to consider in population-level efforts to reduce acute care utilization.
 

smoke coming from the hills in Los Angeles
Director's Messages

Director's message about the California wildfires

Dear Colleagues and Friends,

This has been an extraordinarily difficult time for our California communities, and our hearts are with everyone affected by the devastating wildfires.

Thank you to those on the front lines, including our brave firefighters and first responders who are working around the clock to contain the fires and risking their lives to protect us.

Last week, I loaded my car with photos, art, and my father’s medal from when he took the CPA exam, and my cat, and evacuated my home in Topanga. Like many Californians, I didn’t know if my house would still be standing after the fires were over. But I considered myself lucky: my family is healthy and safe; we have housing, food, and essentials; and we are surrounded by a community that continues to amaze me. The inspiring acts of generosity and kindness, the spirit of unity, the strength and resilience of our community: You are what makes LA.

Tens of thousands of people in Southern California are displaced, struggling with poor air quality, and in urgent need of help. Recovering from the physical, emotional, financial, environmental, and ecological impacts of wildfires takes years.

Last October, the UCLA Center for Health Policy Research (CHPR) released data from the 2023 California Health Interview Survey (CHIS) on wildfires and extreme weather-related events:

Nearly 1 in 8 (12.2%) California adults said they experienced a wildfire in the past two years and about 2 in 5 (41.3%) California adults experienced smoke from a wildfire in the past two years.

Among adults whose households experienced an extreme-weather related event in the past two years, 1 in 5 (19.9%) said their physical health was harmed by smoke from wildfire and nearly 1 in 7 (13.3%) said their mental health was harmed by smoke from wildfire.

Among adults who experienced smoke from wildfires in the past two years, 2 in 3 (65.3%) said they accessed filtered air in their home when exposed to wildfire smoke and 1 in 3 (34.7%) did not access filtered air in their home. There were significant differences across sociodemographic factors, including income: 69.6% of adults with incomes 300% of the federal poverty level (FPL) accessed filtered air in their homes, significantly higher than 53.2% of adults with incomes 0–99% FPL who accessed filtered air. U.S.-born citizens (67.8%) were more likely to access filtered air in their home compared to non-citizens (50.7%).

Among adolescents in California, 29.6% said climate change makes them feel nervous, depressed, or emotionally stressed.

We encourage you to explore these findings on our AskCHIS platforms.

As a community of researchers, advocates, health care organizations, agencies, funders, journalists, and policymakers, we must work together: to conduct more research on wildfires and better understand the broad effects on health, to mitigate risk, to inform policies, and to help each other recover. 

I am so grateful for the outpouring of support we’ve received from our colleagues, partners, and friends around the nation. 

Please continue to take care of each other. 

Ninez 

Ninez A. Ponce, PhD, MPP
Director, UCLA Center for Health Policy Research
Principal Investigator, California Health Interview Survey
Professor and Fred W. & Pamela K. Wasserman Endowed Chair, Department of Health Policy and Management, UCLA Fielding School of Public Health

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Ninez Ponce standing in front of a banner that says The White House Forum on Asian Americans, Native Hawaiians, and Pacific Islanders
Press Releases

Ninez Ponce discusses the importance of data equity at a White House panel

Ninez Ponce discusses the importance of data equity at a White House panel

UCLA CHPR Director Ninez Ponce invited to the White House to talk about data equity at a panel for AANHPI Heritage Month

Media Contact:
UCLA CHPR Communications Team


On May 3, UCLA Center for Health Policy Research Director Ninez A. Ponce, PhD, MPP, was featured on a panel of distinguished community leaders and researchers at the White House Forum on Asian Americans, Native Hawaiians, and Pacific Islanders

Hosted by the White House Initiative on Asian Americans, Native Hawaiians, and Pacific Islanders (WHIAANHPI), the all-day forum included breakout convenings, panels, and artistic performances to celebrate Asian American, Native Hawaiian, and Pacific Islander (AANHPI) Heritage Month. 

Ponce, who also serves as endowed chair and professor of health policy and management at the UCLA Fielding School of Public Health, was part of the Advancing Justice Through Data Equity breakout convening held from 9:30 a.m.–11:00 a.m. ET.

“This is an exciting opportunity to both celebrate the historic achievements of AANHPI communities and work toward a better future for all Asian Americans, Native Hawaiians, and Pacific Islanders,” Ponce says. “It is an honor to collaborate with leaders from across the nation who are passionate about advancing equity and justice for all AANHPIs.”  

By 2060, AANHPI populations are projected to increase to 10% of the U.S. population, yet a lack of disaggregated data masks the experiences, priorities, and challenges of these diverse communities and hinders the allocation of federal resources. Ponce, a champion for data disaggregation and data equity, discussed the need for and importance of data equity, along with the work being done at the UCLA Center for Health Policy Research’s Native Hawaiian and Pacific Islander (NHPI) Data Policy Lab and California Health Interview Survey (CHIS). 

The panel also included Gregg Orton, national director of the National Council of Asian Pacific Americans; Fontane Lo, deputy director of AAPI Data; Kham Moua, national deputy director of the Southeast Asia Resource Action Center; and Neil Ruiz, head of Pew Research Initiatives at the Pew Research Center.  

The White House Forum featured remarks from Vice President Kamala Harris and other members of President Joe Biden’s Cabinet; convened diverse federal government leaders, state, and local elected officials as well as community advocates, business leaders, and influencers to celebrate the rich history and contributions of AA and NHPI communities; and highlighted the Biden-Harris Administration’s progress and commitments to advance equity, justice, and opportunity for AA and NHPI communities. 

This year’s theme is “Visible Together,” in which the White House Office of Public Engagement invited everyone to “reflect on the power of community — and acknowledge the intense, generational challenges and opportunities that come with coalition building.”


About the UCLA Center for Health Policy Research
The UCLA Center for Health Policy Research (CHPR) is one of the nation’s leading health policy research centers and the premier source of health policy information for California. UCLA CHPR improves the public’s health through high quality, objective, and evidence-based research and data that informs effective policymaking. UCLA CHPR is the home of the California Health Interview Survey (CHIS) and is part of the UCLA Fielding School of Public Health​.

Qandaimage
Ask the Expert

Three Questions with Ninez Ponce

 

Ninez Ponce Ask the Expert


Ninez Ponce, CHIS principal investigator and professor in the Department of Health Policy and Management at the UCLA Fielding School of Public Health, became Center Director July 1. In a brief interview, Ponce discusses the path that led her to the Center, the roots of health inequality, and more.

Q: How did you begin your career and end up at the Center?

​I was a volunteer for the Berkeley Free Clinic. The Berkeley Free Clinic experience made me think about the importance of health care as a right and not a privilege. I was also very interested in public health policy, because … I thought that fixing the health care system and health populations required multiple sectors and not just the medical sector.

I worked in Thailand with a relief organization looking at development and child nutrition. When I came back to the United States and graduated, I started working on immigrant health, a transnational link between domestic and international health. I got very passionate about data disaggregation particularly for the Asian American and the Native Hawaiian Pacific Islander community and then began advocacy work in that I was very moved by making a difference in public health.

One day, I got a note from Dr. E Richard Brown. It felt like that was a big pivot in my career that planted the seed in wanting to be an academic, do better data collection, better evidence for public health, and that was the beginning of my career in public health that was based here at the Center.
 

Q: What do you see as the emerging public health trend in the future?

​I think it’s happening now. There is recognition that the population’s health problems as well as the inequities that occur in health are not produced solely by the health care system. Some of these problems are beyond the clinical walls and that they may have been generated in not just what the individual has been exposed to in their lifetime but it could have been generational disadvantages ― this notion of institutional racism and structural disadvantages.

I think what’s emerging is that trying to come up with a wider system of care that collaborates in addressing needs for patients with complex clinical problems and complex social problems.
 

Q: What would you be doing if you could go back and pick another line of work to go into?

​​I would be an architect, because I like structure and how design influences how people gather, live, and get together. I would want to design homes that are efficient and aesthetically pleasing that can solve our homelessness problem here. There is also a part of me, the data part of me, which wishes I were a computer scientist. I want to gather all the freely available data that is out there and come up with much humanized stories and public health insights.

Video

Disaggregating Data Decision-making: Who, What, When?

On Tuesday, August 31, the National Network of Health Surveys hosted Disaggregating Racial/Ethnic Data Decision-making: Who, What, When?, a panel discussion on approaching the key considerations when choosing to expand racial/ethnic categories in health data sets. Presenters shared some of their decision-making on: Who: what categories to include? What: what question-wording gets at the information desired? When: what conditions should be present to trigger expanded racial/ethnic data disaggregation?

Presenters:
Samantha Artiga, Vice President and Director, Racial Equity and Health Policy Program, Kaiser Family Foundation

Joshua Quint, PhD, MPH, Epidemiologist, Disease Outbreak Control Division, Hawai’i Department of Health

Eva Wong, PhD, Epidemiologist, Public Health – Seattle & King County

The panel was moderated by UCLA CHPR Director Ninez A. Ponce, PhD, MPP
 

About the National Network of Health Surveys' Advancing Health Equity Through Data Disaggregation Workshop Series 
Disaggregated race/ethnicity data is needed to expose gaps in health equities and inform policies and programs and close those gaps. The National Network of Health Surveys, part of the UCLA Center for Health Policy Research, offers a series of workshops designed to improve the disaggregation of race and ethnicity measures in health data sources. Our goal is to boost the number of subpopulation categories made available to key constituencies working to improve health equity. This is especially important for representing communities that are often “hidden” in large health data sets.

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Video

Advanced Weighting Strategies for Disaggregated Racial/Ethnic Data

This workshop shares the ways in which survey weighting processes can and cannot be used to improve the representativeness of data on small and disaggregated populations within population surveys. The presentations cover the purpose of providing survey weights that account for specific subpopulations, things to consider when selecting a control population to use for calibration, and methods of accounting for small subgroups in weighting data.

Presenters:
Ninez A. Ponce, PhD, MPP, Director, UCLA Center for Health Policy Research
Brian Wells, PhD, Former Survey Methodologist, California Health Interview Survey
Tara Becker, PhD, Senior Public Administration Analyst, UCLA Center for Health Policy Research

About the National Network of Health Surveys' Advancing Health Equity Through Data Disaggregation Workshop Series

Disaggregated race/ethnicity data is needed to expose gaps in health equities and inform policies and programs and close those gaps. The National Network of Health Surveys, part of the UCLA Center for Health Policy Research, offers a series of workshops designed to improve the disaggregation of race and ethnicity measures in health data sources. Our goal is to boost the number of subpopulation categories made available to key constituencies working to improve health equity. This is especially important for representing communities that are often “hidden” in large health data sets.

Video

Disaggregated Racial/Ethnic Data: Considerations for Data Collection and Processing

The workshop explores effective strategies to ensure your data represents the true diversity of your population. The discussion includes decision-making approaches, community engagement strategies, and case studies in survey science. Following the presentation, Dr. Ninez Ponce, CHPR Director, leads activities and provide opportunities to discuss specific project needs.
 

About the National Network of Health Surveys' Advancing Health Equity Through Data Disaggregation Workshop Series

Disaggregated race/ethnicity data is needed to expose gaps in health equities and inform policies and programs and close those gaps. The National Network of Health Surveys, part of the UCLA Center for Health Policy Research, offers a series of workshops designed to improve the disaggregation of race and ethnicity measures in health data sources. Our goal is to boost the number of subpopulation categories made available to key constituencies working to improve health equity. This is especially important for representing communities that are often “hidden” in large health data sets.

Center in the News

UCLA study finds greater health inequities exist in minority communities

Ninez Ponce, director of the UCLA Center for Health Policy Research, and principal investigator of the center's California Health Interview Survey, provides insight into some of the key findings from the most recent edition. “Measurement is what detects where the needs are, and then policies can help shape programs,” Ponce said. News https://dailybruin.com/2025/02/27/ucla-study-finds-greater-health-inequities-exist-in-minority-communities

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Center in the News

Alarming health disparities found within San Diego’s AANHPI community: report

30% of Asian Americans in California reported having difficulty accessing health services, according to California Health Interview Survey data used in a 2024 report by AAPI Data and the UCLA Center for Health Policy Research. News https://fox5sandiego.com/news/local-news/alarming-health-disparities-found-within-san-diegos-aanhpi-community-report/
Center in the News

CalFresh has been temporarily expanded for fire victims who are undocumented

Research and data from the California Health Interview Survey were cited in a news story showing how vulnerable undocumented children in California are to food insecurity, and how they could especially benefit for expanded access to CalFresh assistance in the wake of the Los Angeles fires. News https://laist.com/news/health/calfresh-temporarily-expanded-for-fire-victims-who-are-undocumented
In-Person

2024 E.R. Brown Symposium

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Online

California Health Interview Survey (CHIS) Annual Data Release

Online

Diving into CAPIWAVES: Examining Mental Well-Being and COVID-19 Economic Impacts Among NHPIs in California