Evidence map›Paper›PMID 31285211›Full record

ArticleAnnals of family medicine2019

Following Uninsured Patients Through Medicaid Expansion: Ambulatory Care Use and Diagnosed Conditions.

Nathalie Huguet, Steele Valenzuela, Miguel Marino, Heather Angier, Brigit Hatch, Megan Hoopes, Jennifer E DeVoe

Abstract read
In one paragraph

Article in Annals of family medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Impact of Health Insurance Patterns on Chronic Health Conditions Among Older Patients.Journal of the American Board of Family Medicine : JABFM · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Health insurance coverage and self-employment.Health services research · 2021
    Article
  11. Article
  12. Observational
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nathalie HuguetDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon huguetn@ohsu.edu.
Steele ValenzuelaDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon.
Miguel MarinoDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon.
Heather AngierDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon.
Brigit HatchDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon.
Megan HoopesResearch Department, OCHIN Inc, Portland, Oregon.
Jennifer E DeVoeDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon.

Funding

Community-based HIT Tools for Cancer Screening and Health Insurance PromotionR01CA181452 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2014 to 2018
$3.1M
Evaluating Control of Hypertension - Effect of Social Determinants (ECHOES)R01HL136575 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2018 to 2021
$2.5M
ACCESS: Assessing Community Cancer care after insurance ExpanSionSR01CA204267 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2016 to 2020
$2.0M
Post Affordable Care Act: Evaluation of Community Health Centers (PACE)R01HS024270 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEVOE, JENNIFER E · 2015 to 2016
$796k
AHRQ HHS R01 HS024270NCI NIH HHS R01 CA181452NCI NIH HHS R01 CA204267NHLBI NIH HHS R01 HL136575
6 · The paper itself

Abstract

purposeThe Patient Protection and Affordable Care Act (ACA) has improved access to health insurance, yet millions remain uninsured. Many patients who remain uninsured access care at community health centers (CHCs); however, little is known about their health conditions and health care use. We assessed ambulatory care use and diagnosed health conditions among a cohort of CHC patients uninsured before enactment of the ACA (pre-ACA: January 1, 2012 to December 31, 2013) and followed them after enactment (post-ACA: January 1, 2014 to December 31, 2015).

methodsThis retrospective cohort analysis used electronic health record data from CHCs in 11 US states that expanded Medicaid eligibility. We assessed ambulatory care visits and documented health conditions among a cohort of 138,246 patients (aged 19 to 64 years) who were uninsured pre-ACA and either remained uninsured, gained Medicaid, gained other health insurance, or did not have a visit post-ACA. We estimated adjusted predicted probabilities of ambulatory care use using an ordinal logistic mixed-effects regression model.

resultsPost-ACA, 20.9% of patients remained uninsured, 15.0% gained Medicaid, 12.4% gained other insurance, and 51.7% did not have a visit. The majority of patients had ≥1 diagnosed health condition. The adjusted proportion of patients with high use (≥6 visits over 2 years) increased from pre-ACA to post-ACA among those who gained Medicaid (pre-ACA: 23%, post-ACA: 34%,

conclusionsA significant percentage of CHC patients remained uninsured; many who remained uninsured had diagnosed health conditions, and one-half continued to have ≥3 visits to CHCs. CHCs continue to be essential providers for uninsured patients.

Indexed as

AdultAmbulatory CareCommunity Health CentersFemaleHealth Services AccessibilityHumansInsurance CoverageMaleMedicaidMedically UninsuredMiddle AgedPatient Protection and Affordable Care ActPoverty AreasRetrospective StudiesUnited StatesVulnerable Populationsaccess to health carehealth care deliveryMedicaidmedically uninsuredPatient Protection and Affordable Care Actpreexisting conditionprimary health care

Identifiers

PMID31285211
PMCPMC6827641

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.