Unknown

Dataset Information

0

Measuring Health Equity for Ambulatory Care Sensitive Conditions in a Large Integrated Health Care System: The Development of an Index.


ABSTRACT: Disparities in outcomes for preventive and primary health care services often result when vulnerable patients rely on episodic encounters for emergency services that do not meet their long-term health needs. Understanding health outcomes in socially or economically disadvantaged subgroups is crucial to improving community health, and it requires innovative analytics and dynamic application of clinical and population data. While it is common practice to use proxy indicators, such as quality of life and mortality, when discussing health equity, these have shown limited utility and are rarely applied at a population-level within a health system. Therefore, we designed and implemented an index, calculated as the ratio of observed-to-expected encounters, to identify and quantify health inequalities in health care systems. Providing equitable care, as measured by health outcomes, is analogous to precision medicine applied to social determinants. For health systems, the use of this index will facilitate the development of specially-tailored interventions to address inequity and provides a tool to measure the impact of such programs.

SUBMITTER: Pressman A 

PROVIDER: S-EPMC6450454 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

altmetric image

Publications

Measuring Health Equity for Ambulatory Care Sensitive Conditions in a Large Integrated Health Care System: The Development of an Index.

Pressman Alice A   Lockhart Stephen S   Petersen John J   Robinson Sarah S   Moreno Maria M   Azar Kristen M J KMJ  

Health equity 20190403 1


Disparities in outcomes for preventive and primary health care services often result when vulnerable patients rely on episodic encounters for emergency services that do not meet their long-term health needs. Understanding health outcomes in socially or economically disadvantaged subgroups is crucial to improving community health, and it requires innovative analytics and dynamic application of clinical and population data. While it is common practice to use proxy indicators, such as quality of li  ...[more]

Similar Datasets

| S-EPMC7429814 | biostudies-literature
| S-EPMC6727548 | biostudies-literature
| S-EPMC5785303 | biostudies-literature
| S-EPMC9277334 | biostudies-literature
| S-EPMC8742300 | biostudies-literature
| S-EPMC4973077 | biostudies-literature
| S-EPMC6867979 | biostudies-literature
| S-EPMC5719282 | biostudies-literature
| S-EPMC5665266 | biostudies-literature
| S-EPMC3682035 | biostudies-literature