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Amy J H Kind

Biographic Data

ID5535425
NAMEAmy J H Kind
GIVEN NAMESAmy J H
FAMILY NAMEKind
SIGNATUREKIND A J H
AFFILIATIONSDepartment of Medicine, Health Services and Care Research Program
VERIFIEDNo
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Evaluating Policy Changes for Adjusting Payment to Address Health Disparities

    Open Access•W Ryan Powell, Luke Chamberlain et al.•ARTICLE•JAMA Health Forum•2024

    This study analyzes area-level Health Equity Benchmark Adjustment formula changes to demonstrate how policy choices result in resource reallocation

  • Differential Effects of an Emergency Department-to-Home Care Transitions Intervention in an Older Adult Population

    Rebecca K Green, Kenneth J Nieser et al.•ARTICLE•Medical Care•2023•References: 45

    BACKGROUND: Older adults frequently return to the emergency department (ED) within 30 days of a visit. High-risk patients can differentially benefit from transitional care interventions. Latent class analysis (LCA) is a model-based method used to segment the population and test intervention effects by subgroup. OBJECTIVES: We aimed to identify latent classes within an older adult population from a randomized controlled trial evaluating the effect…

  • Evaluating How Safety-Net Hospitals Are Identified

    Open Access•W Ryan Powell, Kellia J Hansmann et al.•ARTICLE•Health Equity•2022

  • Association Between Neighborhood Disadvantage and Pediatric Readmissions

    Open Access•Carrie L Nacht, Michelle M Kelly et al.•ARTICLE•Maternal and Child Health Journal•2022

  • Race, Ethnicity, Neighborhood Characteristics, and In-Hospital Coronavirus Disease-2019 Mortality

    Jianhui Hu, Christie M Bartels et al.•ARTICLE•Medical Care•2021•References: 13

    BACKGROUND: Despite many studies reporting disparities in coronavirus disease-2019 (COVID-19) incidence and outcomes in Black and Hispanic/Latino populations, mechanisms are not fully understood to inform mitigation strategies. OBJECTIVE: The aim was to test whether neighborhood factors beyond individual patient-level factors are associated with in-hospital mortality from COVID-19. We hypothesized that the Area Deprivation Index (ADI), a neighbor…

  • Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas

    Amy Kind, Amy J H Kind et al.•ARTICLE•New England Journal of Medicine•2018

    Interview with Dr. Amy Kind on a new tool for incorporating data on neighborhood disadvantage into research, policy, and health interventions. (15:45)Download Better understanding of variations in neighborhood disadvantage could lead to improved insight into the sociobiologic mechanisms that underlie health disparities, which could, in turn, facilitate the development of improved therapeutics and interventions.

  • Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction

    Brock Polnaszek, Andrea Gilmore-Bykovskyi et al.•ARTICLE•Medical Care•2016•References: 27

    BACKGROUND: Unstructured data encountered during retrospective electronic medical record (EMR) abstraction has routinely been identified as challenging to reliably abstract, as these data are often recorded as free text, without limitations to format or structure. There is increased interest in reliably abstracting this type of data given its prominent role in care coordination and communication, yet limited methodological guidance exists. OBJECT…

  • Neighborhood Socioeconomic Disadvantage and 30-Day Rehospitalization

    Open Access•Amy Kind, Amy J H Kind et al.•ARTICLE•Annals of Internal Medicine•2014

    BACKGROUND: Measures of socioeconomic disadvantage may enable improved targeting of programs to prevent rehospitalizations, but obtaining such information directly from patients can be difficult. Measures of U.S. neighborhood socioeconomic disadvantage are more readily available but are rarely used clinically. OBJECTIVE: To evaluate the association between neighborhood socioeconomic disadvantage at the census block group level, as measured by the…

No prominent works on this page.

  • Neighborhood Socioeconomic Disadvantage and 30-Day Rehospitalization

    Open Access•Amy Kind, Amy J H Kind et al.•ARTICLE•Annals of Internal Medicine•2014

    BACKGROUND: Measures of socioeconomic disadvantage may enable improved targeting of programs to prevent rehospitalizations, but obtaining such information directly from patients can be difficult. Measures of U.S. neighborhood socioeconomic disadvantage are more readily available but are rarely used clinically. OBJECTIVE: To evaluate the association between neighborhood socioeconomic disadvantage at the census block group level, as measured by the…

  • Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction

    Brock Polnaszek, Andrea Gilmore-Bykovskyi et al.•ARTICLE•Medical Care•2016•References: 27

    BACKGROUND: Unstructured data encountered during retrospective electronic medical record (EMR) abstraction has routinely been identified as challenging to reliably abstract, as these data are often recorded as free text, without limitations to format or structure. There is increased interest in reliably abstracting this type of data given its prominent role in care coordination and communication, yet limited methodological guidance exists. OBJECT…

  • Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas

    Amy Kind, Amy J H Kind et al.•ARTICLE•New England Journal of Medicine•2018

    Interview with Dr. Amy Kind on a new tool for incorporating data on neighborhood disadvantage into research, policy, and health interventions. (15:45)Download Better understanding of variations in neighborhood disadvantage could lead to improved insight into the sociobiologic mechanisms that underlie health disparities, which could, in turn, facilitate the development of improved therapeutics and interventions.

  • Race, Ethnicity, Neighborhood Characteristics, and In-Hospital Coronavirus Disease-2019 Mortality

    Jianhui Hu, Christie M Bartels et al.•ARTICLE•Medical Care•2021•References: 13

    BACKGROUND: Despite many studies reporting disparities in coronavirus disease-2019 (COVID-19) incidence and outcomes in Black and Hispanic/Latino populations, mechanisms are not fully understood to inform mitigation strategies. OBJECTIVE: The aim was to test whether neighborhood factors beyond individual patient-level factors are associated with in-hospital mortality from COVID-19. We hypothesized that the Area Deprivation Index (ADI), a neighbor…

  • Evaluating How Safety-Net Hospitals Are Identified

    Open Access•W Ryan Powell, Kellia J Hansmann et al.•ARTICLE•Health Equity•2022

  • Association Between Neighborhood Disadvantage and Pediatric Readmissions

    Open Access•Carrie L Nacht, Michelle M Kelly et al.•ARTICLE•Maternal and Child Health Journal•2022

  • Differential Effects of an Emergency Department-to-Home Care Transitions Intervention in an Older Adult Population

    Rebecca K Green, Kenneth J Nieser et al.•ARTICLE•Medical Care•2023•References: 45

    BACKGROUND: Older adults frequently return to the emergency department (ED) within 30 days of a visit. High-risk patients can differentially benefit from transitional care interventions. Latent class analysis (LCA) is a model-based method used to segment the population and test intervention effects by subgroup. OBJECTIVES: We aimed to identify latent classes within an older adult population from a randomized controlled trial evaluating the effect…

  • Evaluating Policy Changes for Adjusting Payment to Address Health Disparities

    Open Access•W Ryan Powell, Luke Chamberlain et al.•ARTICLE•JAMA Health Forum•2024

    This study analyzes area-level Health Equity Benchmark Adjustment formula changes to demonstrate how policy choices result in resource reallocation

Medicine (6 works) · Computer Science (3 works) · Demography (3 works) · Disadvantage (3 works) · Environmental health (3 works) · Gerontology (3 works) · Health disparities and outcomes (3 works) · Internal Medicine (3 works) · Internal Medicine (3 works) · Population (3 works)

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