ArticleChild indicators research2018
Application of the Human Well-Being Index to Sensitive Population Divisions: A Children's Well-Being Index Development.
Article in Child indicators research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Meta-Analysis of Stressors from the Total Environment Associated with Children's General Cognitive Ability.International journal of environmental research and public health · 2020Pooled it
- The Child and Adolescent Thriving Index 1.0: Developing a Measure of the Outcome Indicators of Well-Being for Population Health Assessment.Child indicators research · 2022Article
- Contributions of Ecosystem Services to Human Well-Being in Puerto Rico.Sustainability · 2020Article
- Projecting effects of land use change on human well-being through changes in ecosystem services.Ecological modelling · 2020Article
- Downscaling a Human Well-Being Index for Environmental Management and Environmental Justice Applications in Puerto Rico.Applied geography (Sevenoaks, England) · 2020Article
- Scientific Data Management in the Age of Big Data: An Approach Supporting a Resilience Index Development Effort.Frontiers in environmental science · 2019Article
- EPA Leadership on Science, Innovation, and Decision Support Tools for Addressing Current and Future Challenges.Jacobs journal of environmental sciences · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The assessment of community well-being is critical as an end-point measure that will facilitate decision support and assist in the identification of sustainable solutions to address persistent problems. While the overall measure is important, it is equally vital to distinguish variations among groups within the population who may be impacted in a different manner. The U.S. Environmental Protection Agency (US EPA) developed the Human Well-Being Index (HWBI), as a way of measuring these outcomes and assessing community characteristics. The HWBI approach produces a suite of indicators, domains and a final composite index appropriate for characterizing well-being of a population. While generalized approaches are needed, it is important to also recognize variations in well-being across community enclaves. This paper presents an adaption of the HWBI for child populations to test the applicability of the index framework to specific community enclaves. First, an extensive literature review was completed to ensure the theoretical integrity of metric and indicator substitutions from the original HWBI framework. Metric data were then collected, refined, imputed where necessary and evaluated to confirm temporal and spatial availability. A Children's Well-Being Index (CWBI) value, representing the same indicators and domains of well-being as the original HWBI, was calculated for the population under age 18 across all US counties for 2011. Implications of this research point to an effective, holistic end-point measure that can be tracked over time. Similarly, there is great potential for the application of the original HWBI method to other statistical population segments within the greater US population. These adaptations could help identify and close gaps in equity of resource distribution among these groups.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.