Related Experiment Video
Updated: Oct 20, 2025

09:55
Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
1.8K
No Equity without Data Equity: Data Reporting Gaps for Native Hawaiians and Pacific Islanders as Structural Racism
Brittany N Morey1, Richard Calvin Chang2, Karla Blessing Thomas3
1University of California, Irvine.
Journal of Health Politics, Policy and Law
|September 15, 2021
Summary
Native Hawaiian and Pacific Islander (NHPI) data remain hidden due to underreporting, impacting health equity. Improving data collection and reporting is crucial for social justice and resource allocation.
Area of Science:
- Health Equity Research
- Health Disparities
- Data Science
Background:
- Data on Native Hawaiians and Pacific Islanders (NHPIs) are often not collected or are aggregated, hindering advocacy and resource allocation.
- This data omission represents structural racism, contributing to systemic inequities for NHPI communities.
- Decades of calls for disaggregated NHPI data have not fully addressed these critical gaps.
Purpose of the Study:
- To audit US federal agencies' collection and reporting of disaggregated NHPI data.
- To examine state-level reporting of NHPI COVID-19 cases and deaths.
- To assess NHPI underrepresentation in resource allocation metrics using California's Healthy Places Index (HPI).
Main Methods:
- Conducted a data audit of US federal agencies' data collection and reporting practices for NHPIs.
- Analyzed state-level reporting of COVID-19 cases and deaths, focusing on NHPI data disaggregation.
- Utilized California's Healthy Places Index (HPI) to quantify NHPI underrepresentation in resource allocation.
Main Results:
- While national NHPI data collection has improved, significant federal data gaps persist.
- Over half of US states are not reporting NHPI COVID-19 case and death data, indicating substantial underreporting.
- The California Healthy Places Index (HPI) underrepresents NHPIs in communities targeted for COVID-19 resources.
Conclusions:
- Addressing data gaps in NHPI health and social determinants is essential for achieving health equity.
- Improved data equity, including disaggregated reporting, is critical for social justice and effective resource allocation for NHPI communities.
- Recommendations are proposed to enhance NHPI data equity at federal and state levels.
Related Concept Videos
Stereotypes, Prejudice, and Discrimination
92.5K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
92.5K
Data Reporting and Recording
5.0K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.0K
Types of Reports II: Incident or Occurrence Report
977
An Incident or Occurrence Report in a healthcare setting is a crucial document used to record any unexpected occurrence that may or may not have affected a patient, employee, or visitor. Such reports are critical to improving patient safety and include all details leading up to and including the event.
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
977
Bias in Epidemiological Studies
817
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
817
Surveys
16.1K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
16.1K
Bias
6.4K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
6.4K

