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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedWong MS, Arnold CM, Roberts ET
The relationship between federal housing assistance and uptake of cancer screening among low-income adults.
The primary aim of this study was to examine the relationship between participation in federal housing assistance programs and self-reported cancer screening among low-income adults. The investigators concluded that their results reinforced the need to improve rates of screening and suggested that providing housing assistance, in and of itself, may be insufficient to overcome the multiple access barriers that low-income populations face.
AHRQ-funded; HS000029.
Citation: Wong MS, Arnold CM, Roberts ET .
The relationship between federal housing assistance and uptake of cancer screening among low-income adults.
J Gen Intern Med 2019 Dec;34(12):2714-16. doi: 10.1007/s11606-019-05037-z..
Keywords: Cancer, Screening, Low-Income, Vulnerable Populations, Access to Care, Healthcare Utilization, Social Determinants of Health
Roy B, Riley C, Herrin J
Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states.
The objective of this study was to evaluate the association between community well-being, a positively framed, multidimensional assessment of the health and quality of life of a geographic community, and hospitalisation rates. The investigators found that community well-being was inversely associated with local hospitalisation rates. They suggest that in addition to health and quality-of-life benefits, higher community well-being may also result in fewer unnecessary hospitalisations.
AHRQ-funded; HS023000.
Citation: Roy B, Riley C, Herrin J .
Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states.
BMJ Open 2019 Nov 27;9(11):e030017. doi: 10.1136/bmjopen-2019-030017..
Keywords: Hospitalization, Health Status, Quality of Life, Healthcare Utilization, Social Determinants of Health
Danilack VA, Brousseau EC, Paulo BA
Characteristics of women without a postpartum checkup among PRAMS participants, 2009-2011.
The authors studied whether sociodemographic characteristics and pregnancy and delivery factors were related to the likelihood of missing a postpartum checkup. They found that, compared to women who attended a postpartum checkup, women who missed the visit were younger, unmarried, less educated, with lower income, without insurance, and smokers. Also, women with intermediate or inadequate prenatal care were more likely to miss the checkup. Additionally, women were more likely to miss this checkup if their infant was born at a residence compared to a hospital and were less likely to miss the checkup if their newborn had a one-week well visit.
AHRQ-funded; HS025013.
Citation: Danilack VA, Brousseau EC, Paulo BA .
Characteristics of women without a postpartum checkup among PRAMS participants, 2009-2011.
Matern Child Health J 2019 Jul;23(7):903-09. doi: 10.1007/s10995-018-02716-x..
Keywords: Healthcare Utilization, Maternal Care, Patient Adherence/Compliance, Pregnancy, Social Determinants of Health, Women
Bucher BT, Shi J, Pettit RJ
Determination of marital status of patients from structured and unstructured electronic healthcare data.
This paper describes a robust method to determine the marital status of patients, which is included as a Social Determinant of Health and considered a key driver of health care utilization. A robust method to determine marital status using structured and unstructured electronic healthcare data was developed using data from a single US academic institution. A natural language processing (NLP) pipeline was developed and validated. Performance was compared against two baseline methods: a machine learning n-gram model and structured data from the electronic health record. Overall the NLP engine had excellent to superior performance compared with the other models.
AHRQ-funded; HS025776.
Citation: Bucher BT, Shi J, Pettit RJ .
Determination of marital status of patients from structured and unstructured electronic healthcare data.
AMIA Annu Symp Proc 2020 Mar 4;2019:267-74..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Social Determinants of Health, Healthcare Utilization