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Community Health Needs Assessment Welcome to the CHNA Data Platform Kaiser Permanente is pleased to provide this web-based resource to our communities as a way to support you in facilitating community health needs assessments and fostering fruitful community collaboration. We hope you will use this resource to understand what is really driving health in our communities and to prioritize those issues that require our most urgent attention. Most importantly, we hope you will use this site to inform investment strategies and community actions that can make a real difference in the health of our patients, clients, constituents and neighbors in the communities we all serve. For over 65 years, Kaiser Permanente has been dedicated to providing high quality, affordable health care services and to improving the health of our members and the communities we serve. » welcome letter from Pamela Schwartz, Senior Director for Community Health Impact, and Learning and Loel Solomon, VP, Community Health Sign In To Continue Login Forgot your password? Need to Signup? Register Now × CHNA: How it Works Welcome to the CHNA tool sponsored by Kaiser Permanente! This tool allows you to see what health needs look like in your community or hospital service area. The CHNA tool is divided into three sections. 1. Health Needs The health needs table provides a high-level view of the indicators for the geography you selected, organized by health need. Please see the methodology section below for more information on how we score health needs. 2. Maps & Data The Maps & Data table makes it easy to see data for a specific indicator, including heat maps and population level data. 3. Reports The reports section provides easy access to different reports you can use to share the health needs findings and indicator data with different stakeholders. Health Need Scoring Methodology Since the indicators are very heterogeneous in what they measure and the units they are expressed in (e.g., rates per thousand, percentages), they must be standardized before adding them together to create an index. "Z-scores" provide a way of standardizing the indicators — converting them all to unit–free measures with mean=0 and standard deviation=1. This is done by computing the population–weighted mean and standard deviation benchmarks at the national, state, and KP-Region level using indicator scores for U.S. counties, and then computing Z–score values, where: Z= (Local Value Mean) - (Benchmark Value Mean)(Benchmark Value Standard Deviation) Localities with Z-scores < -3 or > 3 are truncated to -3 and +3 respectively. The Z-score values for certain metrics are reverse-coded so that in all cases, a lower Z-score score indicates poorer health (see methodology at CHR website for more details). After all Z-scores are calculated, health need index scores are calculated for each locality using the following methods: Indicator Average: for each Health Need, the index score is the average of all composite indicator z-scores. Best Indicator: for each Health Need, the composite indicator with the best (highest) z-score is used as the index score. Worst Indicator: for each Health Need, the composite indicator with the best (highest) z-score is used as the index score. Disparity: for each Health Need, composite indicators are scored by picking the sub-population with the greatest absolute difference in z-score from the total population. The health need index score is the greatest of those indicator sub-population differences. Indicators with no sub-population data are not included. Close...
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