Healthy Places Index Report

Many governmental entities, academic institutions, and private organizations have developed composite indexes of disadvantage or opportunity. These measures allow policy makers and communities to target interventions and resources to areas with the greatest cumulative extent of deprivation. In 2015, using a framework of the social determinants of health (SDOH), the Public Health Alliance of Southern California ("Alliance") created the Health Disadvantage Index (HDI), which ranked California census tracts on a composite score of disadvantage and displayed the results with maps. The HDI summarized the conditions and the levels of key resources in a community that foster a healthy population and health equity. In 2017, the index was updated in partnership with Virginia Commonwealth University (VCU) Center of Society and Health and a Steering Committee made up of local and state health department representatives and other subject matter experts. The update was also informed by user feedback and included more recent data for indicators, new methods to strengthen the validity and power of the index to predict health outcomes, a version that included a race/ethnicity domain, expanded communications strategies, and enhanced capabilities of the website mapping application. The updated index was rebranded as the California Healthy Places Index (HPI).

Data and Resources

Additional Info

Field Value
Author Public Health Alliance of Southern California
Last Updated March 20, 2021, 05:59 (UTC)
Created January 11, 2021, 18:47 (UTC)
Additional Information Generally covering the period 2011 to 2015, data from eight primary sources were downloaded from public internet sites, and processed with R and SAS batch programs into individual indicator files. Indicators were screened for a) census tracts with missing data and b) their simple statistical correlation with life expectancy at birth (LEB). A few indicators with a large amount of missing data or correlations with LEB contrary to reports in the literature were excluded from the index. Indicator values were imputed for a small percentage of census tracts with missing data. Indicators in multivariable domains were assessed for co-linearity, which was not present at levels warranting elimination. Each indicator was scaled in the same direction (higher value → more advantage) and standardized using its Z-score. The arithmetic average of individual indicators' Z-scores was calculated for each domain. The HPI total score was the sum of the weighted domain averages. Domain weights were estimated using a regression technique called weighted quantile score, which estimates the relative contributions of correlated variables that tend to cluster in natural groupings (domains), and are associated with an independent outcome. The weights were estimated in such a way to optimize the correlation of the HPI and LEB and its variance-explained (R square) in simple linear regression. The HPI and domain scores and individual indicator values were also expressed in percentiles so that census tracts could be ranked. and factors associated with places in which they live. In examining these patterns across the entire state
Citation Delaney, T., Dominie, W., Downing, H., & Maizlish, N. (2018, July 8). Healthy Places Index. Retrieved March 10, 2021, from http://healthyplacesindex.org
Contact Email PHASoCal@phi.org
Data Collection Tool The HPI incorporated the same SDOH framing and many of the same domains and indicators as the HDI, whose data generally covered the time period from 2008 to 2012. The HPI consists of 25 individual indicators organized in 8 policy action areas (domains) of economy, education, healthcare access, housing, neighborhoods, clean environment, transportation, and social environment. The criteria for including indicators were: 1) publically available data for census tracts with a 2010 population of 1500 or more residents and a group quarters population less than 50% of the total population, 2) evidence from the scientific literature linking the indicator to health, 3) "actionability" through policy, systems, and environmental change, 4) continuity with the HDI, and 5) compatibility with indicator projects sponsored by CDPH. The Steering Committee highlighted a need to validate the HPI against a health outcome and to explore methods to establish domain weights that refined the range of estimates reported in the scientific literature. The Steering Committee also recommended exploring an optional domain for race/ethnicity, residential segregation, and/or racism.
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Homepage URL http://phasocal.org/
Language English
Limitations
Maintainer
Program Public Health Alliance of Southern California
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Spatial/Geographic Coverage California
Years of Data 2015, 2016, 2017