The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Who Is at Greatest Risk for Receiving Poor-Quality Health Care?
Open accessAbstract
BACKGROUND: American adults frequently do not receive recommended health care. The extent to which the quality of health care varies among sociodemographic groups is unknown. METHODS: We used data from medical records and telephone interviews of a random sample of people living in 12 communities to assess the quality of care received by those who had made at least one visit to a health care provider during the previous two years. We constructed aggregate scores from 439 indicators of the quality of care for 30 chronic and acute conditions and for disease prevention. We estimated the rates at which members of different sociodemographic subgroups received recommended care, with adjustment for the number of chronic and acute conditions, use of health care services, and other sociodemographic characteristics. RESULTS: Overall, participants received 54.9 percent of recommended care. Even after adjustment, there was only moderate variation in quality-of-care scores among sociodemographic subgroups. Women had higher overall scores than men (56.6 percent vs. 52.3 percent, P<0.001), and participants below the age of 31 years had higher scores than those over the age of 64 years (57.5 percent vs. 52.1 percent, P<0.001). Blacks (57.6 percent) and Hispanics (57.5 percent) had slightly higher scores than whites (54.1 percent, P<0.001 for both comparisons). Those with annual household incomes over 50,000 dollars had higher scores than those with incomes of less than 15,000 dollars (56.6 percent vs. 53.1 percent, P<0.001). CONCLUSIONS: The differences among sociodemographic subgroups in the observed quality of health care are small in comparison with the gap for each subgroup between observed and desirable quality of health care. Quality-improvement programs that focus solely on reducing disparities among sociodemographic subgroups may miss larger opportunities to improve care.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
Unequal treatment: confronting racial and ethnic disparities in health care
(2003) · Choice Reviews Online · doi:10.5860/choice.40-5843 · Cited by 7,043
The quality of health care delivered to adults in the United States
McGlynn, E. A., Asch, S. M., Adams, J., Keesey, J., Hicks, J., DeCristofaro, A., & Kerr, E. A. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa022615 · Cited by 5,079
Self-citationPatient Race/Ethnicity and Quality of Patient–Physician Communication During Medical Visits
Johnson, R. L., Roter, D., Powe, N. R., & Cooper, L. A. (2004) · American Journal of Public Health · doi:10.2105/ajph.94.12.2084 · Cited by 955
Racial variation in the control of diabetes among elderly medicare managed care beneficiaries.
McBean, A. M., Huang, Z., Virnig, B. A., Lurie, N., & Musgrave, D. (2003) · Diabetes Care · doi:10.2337/diacare.26.12.3250 · Cited by 51
Cited by
Socioeconomic Disparities in Health in the United States: What the Patterns Tell Us
Braveman, P. A., Cubbin, C., Egerter, S., Williams, D. R., & Pamuk, E. (2010) · American Journal of Public Health · doi:10.2105/ajph.2009.166082 · Cited by 1,548
New Evidence Regarding Racial And Ethnic Disparities In Mental Health: Policy Implications
McGuire, T. G., & Miranda, J. (2008) · Health Affairs · doi:10.1377/hlthaff.27.2.393 · Cited by 734
Strategies for Academic and Clinician Engagement in Community-Participatory Partnered Research
Jones, L., & Wells, K. (2007) · JAMA · doi:10.1001/jama.297.4.407 · Cited by 563
Gaps between knowing and doing: Understanding and assessing the barriers to optimal health care
Cochrane, L. J., Olson, C. A., Murray, S., Dupuis, M., Tooman, T., & Hayes, S. (2007) · Journal of Continuing Education in the Health Professions · doi:10.1002/chp.106 · Cited by 500
Gender Differences in Utilization of Preventive Care Services in the United States
Vaidya, V., Partha, G., & Karmakar, M. (2012) · Journal of Women's Health · doi:10.1089/jwh.2011.2876 · Cited by 441
Metadata
- Authors
- Asch, S. M., Kerr, E. A., Keesey, J., Adams, J. L., Setodji, C. M., Malik, S., & McGlynn, E. A.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2006-03-16
- Volume
- 354
- Issue
- 11
- Pages
- 1147-1156
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2130346818
- Cited by
- 517
- References
- 5
- FWCI
- 58.95
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Who Is at Greatest Risk for Receiving Poor-Quality Health Care? https://app.cochat.ai/papers/10.1056/nejmsa044464
- The paper
- Asch, S. M., Kerr, E. A., Keesey, J., Adams, J. L., Setodji, C. M., Malik, S., & McGlynn, E. A. (2006). Who Is at Greatest Risk for Receiving Poor-Quality Health Care? New England Journal of Medicine. https://doi.org/10.1056/nejmsa044464
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.