Applied Nursing Research
Volume 20, Issue 4 , Pages 205-209, November 2007

Systematic bias in self-reported annual household incomes among unpartnered elderly cardiac patients

  • Yoshimi Fukuoka, RN, PhD

      Affiliations

    • Department of Physiological Nursing, University of California–San Francisco, San Francisco, CA 94143, USA
    • Corresponding Author InformationCorresponding author. Fax: +1 415 476 8899.
  • ,
  • Sally H. Rankin, RN, PhD

      Affiliations

    • Department of Family Health Care Nursing, University of California–San Francisco, San Francisco, CA 94143, USA
  • ,
  • Diane L. Carroll, PhD, APRN, BC

      Affiliations

    • Yvonne L. Munn Center for Nursing Research, Massachusetts General Hospital, Boston, MA 02114, USA
    • Tel.: +1 617 724 4934; fax: +1 617 724 4950.

Received 13 October 2006; received in revised form 21 January 2007; accepted 25 January 2007.

Abstract 

The purpose of this exploratory study was to examine whether specific patient characteristics were associated with not reporting individual incomes among elderly unpartnered cardiac patients. Two hundred forty-seven unpartnered patients (age, ≥65 years) who were admitted with coronary artery disease to one of five university medical centers were interviewed during their hospitalization. Their average age was 76 years (SD = 6.3 years, range = 65–101 years). Of the sample, approximately 34% were men, 92% were Caucasian, 19% had less than 12 years of education, and 55% had at least 12 years (but not more than 16 years) of education. Approximately 13% of the patients did not report their annual household income. In a logistic regression analysis, higher education and greater social and economic satisfaction were significantly related to refusal to self-report income after controlling for age and sex (p < .05). The interaction between education and sex was not significant in the model (p > .05). Our findings indicate that there was a potential systematic bias regarding self-reporting of annual household income. Thus, this systematic bias needs to be examined before performing a multivariate analysis that includes income as a covariate.

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PII: S0897-1897(07)00022-5

doi:10.1016/j.apnr.2007.01.010

Applied Nursing Research
Volume 20, Issue 4 , Pages 205-209, November 2007