Authors created a user guide aimed at providing researchers with an overview of the Social Determinants of Health Survey, recommendations for scoring and interpreting participant responses. This user guide targets registered users of the All of Us Research Hub Researcher Workbench, a cloud-based platform that supports analysis of All of Us data, who are currently conducting or planning to conduct analyses using the Social Determinants of Health Survey.
Authors created a user guide aimed at providing researchers with an overview of the Social Determinants of Health Survey, recommendations for scoring and interpreting participant responses. This user guide targets registered users of the All of Us Research Hub Researcher Workbench, a cloud-based platform that supports analysis of All of Us data, who are currently conducting or planning to conduct analyses using the Social Determinants of Health Survey.
Although the value of member-reported demographic data is widely accepted, few health care organizations have scaled up collection of these data. Even fewer routinely stratify operational measures by demographic data to identify disparate outcomes and act to address findings.
Although the value of member-reported demographic data is widely accepted, few health care organizations have scaled up collection of these data. Even fewer routinely stratify operational measures by demographic data to identify disparate outcomes and act to address findings.
This brief uses pooled data from the 2021 and 2022 CHIS to provide a snapshot of the adult LEP population in California, including their demographic characteristics, access to care, health outcomes, and challenges faced when communicating with providers.
This brief uses pooled data from the 2021 and 2022 CHIS to provide a snapshot of the adult LEP population in California, including their demographic characteristics, access to care, health outcomes, and challenges faced when communicating with providers.
Authors used data from the 2021 CHIS to analyze the association between respondent characteristics and self-report of negative mental health effects following exposure to extreme weather events.
Authors used data from the 2021 CHIS to analyze the association between respondent characteristics and self-report of negative mental health effects following exposure to extreme weather events.
Data were from a 2013–2014 population-based case-control study in the San Francisco Bay Area, U.S. Survey items were adapted from dietary acculturation scales developed for AANHPI populations.
Data were from a 2013–2014 population-based case-control study in the San Francisco Bay Area, U.S. Survey items were adapted from dietary acculturation scales developed for AANHPI populations.
Demographic information and pharyngeal images were collected from patients who visited 64 primary care clinics in Japan for influenza-like symptoms. Authors trained a deep learning-based classification model to predict reported sex on 20,319 images from 51 clinics.
Demographic information and pharyngeal images were collected from patients who visited 64 primary care clinics in Japan for influenza-like symptoms. Authors trained a deep learning-based classification model to predict reported sex on 20,319 images from 51 clinics.
The authors hope to increase public awareness of the needs of women and girls in San Luis Obispo County, educate community leaders, stakeholders and nonprofit organizations about the current status of women and girls in SLO County, and inform grantmaking decisions by the Women’s Legacy Fund.
The authors hope to increase public awareness of the needs of women and girls in San Luis Obispo County, educate community leaders, stakeholders and nonprofit organizations about the current status of women and girls in SLO County, and inform grantmaking decisions by the Women’s Legacy Fund.
This policy brief presents data on the health and well-being of adults with a disability or with long-time chronic conditions who have needs for Long-Term Services and Supports (LTSS) and compares their health status with that of the general California population. It further examines how health outcomes vary by race and ethnicity, employment status, unmet needs for LTSS, and access to health care. The data are from the 2019–2020 California Long-Term Services and Supports (CA-LTSS) study, a follow-on survey of the 2019–2020 California Health Interview Survey (CHIS).
This policy brief presents data on the health and well-being of adults with a disability or with long-time chronic conditions who have needs for Long-Term Services and Supports (LTSS) and compares their health status with that of the general California population. It further examines how health outcomes vary by race and ethnicity, employment status, unmet needs for LTSS, and access to health care. The data are from the 2019–2020 California Long-Term Services and Supports (CA-LTSS) study, a follow-on survey of the 2019–2020 California Health Interview Survey (CHIS).
This fact sheet uses statewide population–level data to describe the financial worries experienced by California adults who have needs for Long-Term Services and Supports (LTSS) and to assess the extent of these worries by race or ethnicity and by employment status. Data were obtained from the 2019–2020 California Long-Term Services and Supports (CA-LTSS) study, a follow-on survey of the 2019–2020 California Health Interview Survey (CHIS).
This fact sheet uses statewide population–level data to describe the financial worries experienced by California adults who have needs for Long-Term Services and Supports (LTSS) and to assess the extent of these worries by race or ethnicity and by employment status. Data were obtained from the 2019–2020 California Long-Term Services and Supports (CA-LTSS) study, a follow-on survey of the 2019–2020 California Health Interview Survey (CHIS).
This fact sheet reports on social characteristics of neighborhoods as perceived by Californians with needs for long-term services and supports (LTSS). Authors detail how perceptions of neighborhood safety and trust vary by race or ethnicity and income and show how a sense of neighborhood cohesion. The data presented were taken from the 2019–2020 California Long-Term Services and Supports (CA-LTSS) study, a follow-on survey of the 2019–2020 California Health Interview Survey (CHIS).
This fact sheet reports on social characteristics of neighborhoods as perceived by Californians with needs for long-term services and supports (LTSS). Authors detail how perceptions of neighborhood safety and trust vary by race or ethnicity and income and show how a sense of neighborhood cohesion. The data presented were taken from the 2019–2020 California Long-Term Services and Supports (CA-LTSS) study, a follow-on survey of the 2019–2020 California Health Interview Survey (CHIS).