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Volumn 36, Issue 9, 2017, Pages 1656-1662

Sustained gains in coverage, access, and affordability under the ACA: A 2017 update

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; FEMALE; FINANCIAL MANAGEMENT; HEALTH CARE SYSTEM; HUMAN; HUMAN EXPERIMENT; MALE; MEDICAID; MEDICALLY UNINSURED; MONITORING; POLITICS; SUMMER; ECONOMICS; HEALTH CARE DELIVERY; HEALTH CARE POLICY; HEALTH INSURANCE; HEALTH SURVEY; INSURANCE; MIDDLE AGED; STATISTICS AND NUMERICAL DATA; TRENDS; UNITED STATES;

EID: 85028812359     PISSN: 02782715     EISSN: 15445208     Source Type: Journal    
DOI: 10.1377/hlthaff.2017.0798     Document Type: Article
Times cited : (29)

References (34)
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    • To access the Appendix, click on the Appendix link in the box to the right of the article online
    • To access the Appendix, click on the Appendix link in the box to the right of the article online
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    • We focused on changes in insurance coverage because estimates of coverage levels often vary across survey programs as a result of survey differences unrelated to the ACA. See State Health Access Data Assistance Center
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    • Medical care includes general doctor care, specialist care, medical tests, follow-up care, mental health care, and prescription drugs
    • Medical care includes general doctor care, specialist care, medical tests, follow-up care, mental health care, and prescription drugs
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    • For this analysis, Medicaid expansion states are those that expanded by March 2016: AK, AZ, AR, CA, CO, CT, DE, DC, HI, IL, IN, IA, KY, MD, MA, MI, MN, MT, NV, NH, NJ, NM, NY, ND, OH, OR, PA, RI, VT, WA, and WV. Because our definition of expansion states has changed as more states adopted the expansion, HRMS estimates based on Medicaid expansion status are not necessarily comparable over time
    • For this analysis, Medicaid expansion states are those that expanded by March 2016: AK, AZ, AR, CA, CO, CT, DE, DC, HI, IL, IN, IA, KY, MD, MA, MI, MN, MT, NV, NH, NJ, NM, NY, ND, OH, OR, PA, RI, VT, WA, and WV. Because our definition of expansion states has changed as more states adopted the expansion, HRMS estimates based on Medicaid expansion status are not necessarily comparable over time
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    • The regression models controlled for differences in the demographic, socioeconomic, and geographic characteristics of respondents and their families across the different rounds of the survey, as well as changes in the county employment rate. This removes changes in our outcomes caused by changes in types of respondents over time rather than by changes in the health care landscape
    • The regression models controlled for differences in the demographic, socioeconomic, and geographic characteristics of respondents and their families across the different rounds of the survey, as well as changes in the county employment rate. This removes changes in our outcomes caused by changes in types of respondents over time rather than by changes in the health care landscape
  • 28
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    • While the size of the estimated change in uninsurance and the time path of the decline vary across surveys, similar downward trajectories are reported in research based on both federal and nonfederal surveys. See Notes 3-10
    • While the size of the estimated change in uninsurance and the time path of the decline vary across surveys, similar downward trajectories are reported in research based on both federal and nonfederal surveys. See Notes 3-10
  • 29
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    • While the percentage reduction was greater for adults ages 50-64 than for adults ages 35-49, there was not a significant difference in the change in the level of uninsurance between the two groups, which was roughly 6 percentage points
    • While the percentage reduction was greater for adults ages 50-64 than for adults ages 35-49, there was not a significant difference in the change in the level of uninsurance between the two groups, which was roughly 6 percentage points
  • 30
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    • The drop in uninsurance among adults in expansion states was significantly larger than that for adults in nonexpansion states (p < 0.01)
    • The drop in uninsurance among adults in expansion states was significantly larger than that for adults in nonexpansion states (p < 0.01)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.