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The Patient's Role in Reducing Disparities

2004· letter· en· W2054484501 on OpenAlexaboutno aff
Sherrie H. Kaplan, Sheldon Greenfield

Bibliographic record

VenueAnnals of Internal Medicine · 2004
Typeletter
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHealth equityIntensive care medicinePublic healthNursing

Abstract

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Perspectives3 August 2004The Patient's Role in Reducing DisparitiesFREESherrie H. Kaplan, PhD, MPH and Sheldon Greenfield, MDSherrie H. Kaplan, PhD, MPHFrom the University of California, Irvine, Irvine, California. and Sheldon Greenfield, MDFrom the University of California, Irvine, Irvine, California.Author, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-141-3-200408030-00012 SectionsAboutVisual AbstractPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail When the world's largest medical specialty society articulates 8 laudable and compelling position statements for reducing disparities in health care in the United States (1), the call for action must not get lost in niggling debates over the details of implementation. Yet the details are precisely where the difficulties lie. In dealing with these difficulties, the leadership of U.S. medicine must question whether some of the proposed solutions will actually produce better health care for minorities.Although some patients may prefer to see a physician of the same race, ethnicity, or sex, empirical evidence that this form of concordance alone improves the quality of interpersonal or technical care is, at best, mixed (2-7). In a carefully designed, multimethod study, for example, Cooper and colleagues (2) found that although patients were more satisfied when seen by physicians of the same race, actual audiotapes of their visits showed no increase in patient-centered communication compared with the audiotapes of visits in which the patient's race differed from the clinician's race. Earlier research suggests that minority patients seeing nonminority physicians may actually be more actively involved in treatment decisions than when the physician's race is the same as the patient's race (7). Greater diversity in the physician workforce is essential. However, the evidence suggests that relying on racial concordance to resolve communication problems between physicians and patients is unlikely to improve quality of care substantially.Training physicians in cultural competence is also unlikely to solve the problem of racial disparities. While "cultural competence" or cultural sensitivity should be an integral part of early physician training, practically, physicians cannot be taught the interior of every culture they could encounter in practice. How should we ensure that physicians are trained in the appropriate cultures once they are outside of the training environment? The cultural context of a physician's practice is a moving target. Physicians relocate. And the cultural face of major urban centers changes as the "dominant" minority cultures change with successive waves of immigration.A more appropriate focus for physician training is the specific skill sets that will help physicians to identify the discrete features of a patient's culture that may impede effective implementation of treatment or interfere with optimal health outcomes. Physicians can be taught certain elements of physician–patient communication—such as using effective participatory decision-making styles, looking patients in the eye, and interrupting patients as infrequently as possible—that produce better outcomes of care in patients of all socioeconomic backgrounds (7-10). Training physicians to focus on these elements of interpersonal communication is a more achievable goal than the far more daunting challenge of achieving "universal" cultural awareness and competence.Focusing solely on physicians and the clinical setting is meeting only half the challenge. Even the most culturally competent, racially or ethnically concordant physician who sees a patient with chronic disease every 2 to 3 months for 15 to 20 minutes cannot be expected to address the individual patient's complex and unique barriers to effective care. Preparing all patients to make the most of those brief office visits must be a major focus of future efforts to reduce disparities. Many tested patient training programs increase patient participation in treatment decisions. These programs are as effective in improving the outcomes of care among poor and minority populations (9-12) as they are in the general population. Minority patients could also be encouraged to bring advocates or family members to the office or hospital to be translators or "negotiators" for lifestyle-appropriate treatment decisions. Promising preliminary research suggests that using these patient advocates, "navigators," or community-based "coaches" may be effective in improving the quality of chronic disease care for minorities (13).Calling for patients to be trained as meaningful, not just token, comanagers of their health care is far from a new notion. But its widespread implementation in ethnic and minority populations, while an enormous political, social, and economic challenge, may reduce disparities in the practice and effectiveness of U.S. medicine.References1. Racial and ethnic disparities in health care. A position paper of the American College of Physicians. Ann Intern Med. 2004;141:226-32. LinkGoogle Scholar2. Cooper LA, Roter DL, Johnson RL, Ford DE, Steinwachs DM, Powe NR. Patient-centered communication, ratings of care, and concordance of patient and physician race. Ann Intern Med. 2003;139:907-15. [PMID: 14644893] LinkGoogle Scholar3. Johnson RL, Saha S, Arbelaez JJ, Beach MC, Cooper LA. Racial and ethnic differences in patient perceptions of bias and cultural competence in health care. J Gen Intern Med. 2004;19:101-10. [PMID: 15009789] CrossrefMedlineGoogle Scholar4. Saha S, Komaromy M, Koepsell TD, Bindman AB. Patient-physician racial concordance and the perceived quality and use of health care. Arch Intern Med. 1999;159:997-1004. [PMID: 10326942] CrossrefMedlineGoogle Scholar5. LaVeist TA, Nuru-Jeter A, Jones KE. The association of doctor-patient race concordance with health services utilization. J Public Health Policy. 2003;24:312-23. [PMID: 15015865] CrossrefMedlineGoogle Scholar6. Saha S, Arbelaez JJ, Cooper LA. Patient-physician relationships and racial disparities in the quality of health care. Am J Public Health. 2003;93:1713-9. [PMID: 14534227] CrossrefMedlineGoogle Scholar7. Kaplan SH, Gandek B, Greenfield S, Rogers W, Ware JE. Patient and visit characteristics related to physicians' participatory decision-making style. Results from the Medical Outcomes Study. Med Care. 1995;33:1176-87. [PMID: 7500658] CrossrefMedlineGoogle Scholar8. Kaplan SH, Greenfield S, Gandek B, Rogers WH, Ware JE. Characteristics of physicians with participatory decision-making styles. Ann Intern Med. 1996;124:497-504. [PMID: 8602709] LinkGoogle Scholar9. Kaplan SH, Greenfield S, Ware JE. Assessing the effects of physician–patient interactions on the outcomes of chronic disease. Med Care. 1989;27:S110-27. [PMID: 2646486] CrossrefMedlineGoogle Scholar10. Miranda J, Duan N, Sherbourne C, Schoenbaum M, Lagomasino I, Jackson-Triche M, et al . Improving care for minorities: can quality improvement interventions improve care and outcomes for depressed minorities? Results of a randomized, controlled trial. Health Serv Res. 2003;38:613-30. [PMID: 12785564] CrossrefMedlineGoogle Scholar11. Rost KM, Flavin KS, Cole K, McGill JB. Change in metabolic control and functional status after hospitalization. Impact of patient activation intervention in diabetic patients. Diabetes Care. 1991;14:881-9. [PMID: 1773686] CrossrefMedlineGoogle Scholar12. Geiger AM, Mullen ES, Sloman PA, Edgerton BW, Petitti DB. Evaluation of a breast cancer patient information and support program. Eff Clin Pract. 2000;3:157-65. [PMID: 11183430] MedlineGoogle Scholar13. Lam TK, McPhee SJ, Mock J, Wong C, Doan HT, Nguyen T, et al . Encouraging Vietnamese-American women to obtain Pap tests through lay health worker outreach and media education. J Gen Intern Med. 2003;18:516-24. [PMID: 12848834] CrossrefMedlineGoogle Scholar Comments0 CommentsSign In to Submit A Comment Author, Article, and Disclosure InformationAuthors: Sherrie H. Kaplan, PhD, MPH; Sheldon Greenfield, MDAffiliations: From the University of California, Irvine, Irvine, California.Disclosures: None disclosed.Corresponding Author: Sherrie H. Kaplan, PhD, MPH, Center for Health Policy and Research, University of California, Irvine, 100 Theory, Suite 110, Irvine, CA 92697; e-mail, [email protected]edu.Current Author Addresses: Drs. Kaplan and Greenfield: Center for Health Policy and Research, University of California, Irvine, 100 Theory, Suite 110, Irvine, CA 92697. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoDiversifying the Racial and Ethnic Composition of the Physician Workforce Neil R. Powe and Lisa A. Cooper Will Racial and Ethnic Disparities in Health Be Resolved Primarily Outside of Standard Medical Care? Theodore Pincus Racial and Ethnic Disparities in Health CareAmerican College of Physicians*From Unequal Treatment to Quality Care Risa Lavizzo-Mourey and John R. Lumpkin Metrics Cited byPatient-Centered, Culturally Sensitive Health CareAssessing the Educational Efficacy of the Patient Pamphlet, Treatment Options for Avascular Necrosis of the HipDisparities in the Early Adoption of Chemoimmunotherapy for Diffuse Large B-cell Lymphoma in the United StatesRacial Differences in the Presentation and Outcomes of Chronic Lymphocytic Leukemia and Variants in the United StatesRacial differences in the presentation and outcomes of diffuse large B-cell lymphoma in the United StatesReducing Disparities Downstream: Prospects and ChallengesThe Roles of Counseling Psychologists in Reducing Health DisparitiesProviding Patient-Centered Culturally Sensitive Health CareRacial Differences in the Incidence and Outcomes for Patients with Hematological MalignanciesClinical practice guidelines for support of the family in the patient-centered intensive care unit: American College of Critical Care Medicine Task Force 2004–2005Patient-reported assessments in diabetes care: Clinical and research applications 3 August 2004Volume 141, Issue 3Page: 222-223KeywordsConflicts of interestForecastingHealth careHealth care qualityHealth disparitiesPatient advocacyPatientsPopulation statisticsRacial and ethnic issuesResearch quality assessment ePublished: 3 August 2004 Issue Published: 3 August 2004 Copyright & PermissionsCopyright © 2004 by American College of Physicians. 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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0030.004
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0230.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.323
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations16
Published2004
Admission routes1
Has abstractyes

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Same venueAnnals of Internal MedicineSame topicDiversity and Career in MedicineFrench-language works237,207