Skip to main content
Top
Gepubliceerd in: Quality of Life Research 9/2016

01-09-2016 | Brief Communication

A single question about a respondent’s perceived financial ability to pay monthly bills explains more variance in health utility scores than absolute income and assets questions

Auteurs: Janel Hanmer, Dasha Cherepanov

Gepubliceerd in: Quality of Life Research | Uitgave 9/2016

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Purpose

To evaluate a general question about ability to meet monthly bills as an alternative to direct questions about income and assets in health utility studies.

Methods

We used data from the National Health Measurement Study—a US nationally representative telephone survey collected in 2005–2006. It included health utility measures (EuroQol-5D-3L, Health Utilities Index Mark 3, Short Form-6D, and Quality of Well-being Index) and household income, assets, and financial ability to meet monthly bills questions. Each utility score was regressed on: income and assets (Model 1); difficulty paying bills (DPB) (Model 2); income, assets, and DPB (Model 3). All models used survey weights and adjusted for demographics and education.

Results

Among 3666 respondents, as income and assets increased, DPB decreased. The DPB question had fewer missing values (n = 30) than income (n = 311) or assets (n = 373). Model 2 (DPB only) explained more variance in health utility than Model 1 (income and assets only). Including all measures (Model 3) had very modest improvement in R 2, e.g., values were 0.112 (Model 1), 0.166 (Model 2), and 0.175 (Model 3) for EuroQol-5D-3L.

Conclusions

The single question on DPB yields more information and has less missing values than the traditionally used income and assets questions.
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
go back to reference Fryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2007). US norms for six generic health-related quality-of-life indexes from the National Health Measurement study. Medical Care, 45(12), 1162–1170.CrossRefPubMedPubMedCentral Fryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2007). US norms for six generic health-related quality-of-life indexes from the National Health Measurement study. Medical Care, 45(12), 1162–1170.CrossRefPubMedPubMedCentral
2.
go back to reference Robert, S. A., Cherepanov, D., Palta, M., Dunham, N. C., Feeny, D., & Fryback, D. G. (2009). Socioeconomic status and age variations in health-related quality of life: Results from the national health measurement study. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 64(3), 378–389.CrossRef Robert, S. A., Cherepanov, D., Palta, M., Dunham, N. C., Feeny, D., & Fryback, D. G. (2009). Socioeconomic status and age variations in health-related quality of life: Results from the national health measurement study. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 64(3), 378–389.CrossRef
3.
go back to reference Cherepanov, D., Palta, M., Fryback, D. G., & Robert, S. A. (2010) Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: Evidence from four US nationally representative data sets. Quality of Life Research, 19(8), pp. 1115–11124. Erratum in: Quality of Life Research (2010), 19(8), pp. 1125. PubMed PMID: 20496168. Cherepanov, D., Palta, M., Fryback, D. G., & Robert, S. A. (2010) Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: Evidence from four US nationally representative data sets. Quality of Life Research, 19(8), pp. 1115–11124. Erratum in: Quality of Life Research (2010), 19(8), pp. 1125. PubMed PMID: 20496168.
4.
go back to reference Luo, N., Johnson, J. A., Shaw, J. W., Feeny, D., & Coons, S. J. (2005). Self-reported health status of the general adult US population as assessed by the EQ-5D and Health Utilities Index. Medical Care, 43(11), 1078–1086.CrossRefPubMed Luo, N., Johnson, J. A., Shaw, J. W., Feeny, D., & Coons, S. J. (2005). Self-reported health status of the general adult US population as assessed by the EQ-5D and Health Utilities Index. Medical Care, 43(11), 1078–1086.CrossRefPubMed
5.
go back to reference Moore, J. C., Stinson, L. L., Welniak, E. J. (1999) Income reporting in surveys: Cognitive issues and measurement error. In M. G. Sirken, D. J. Herrmann, S. Schechter, N. Schwarz, J. M. Tanur, R. Tourangeau (Eds.) Cognition and Survey Measurement (pp. 155–174), Wiley: NY. https://www.census.gov/srd/papers/pdf/sm97-05.pdf. Accessed 19 July 2015. Moore, J. C., Stinson, L. L., Welniak, E. J. (1999) Income reporting in surveys: Cognitive issues and measurement error. In M. G. Sirken, D. J. Herrmann, S. Schechter, N. Schwarz, J. M. Tanur, R. Tourangeau (Eds.) Cognition and Survey Measurement (pp. 155–174), Wiley: NY. https://​www.​census.​gov/​srd/​papers/​pdf/​sm97-05.​pdf. Accessed 19 July 2015.
6.
go back to reference Moore, J. C., Stinson, L. L., & Welniak, E. J. (2000). Income measurement error in surveys: A review. Journal of Official Statistics, 16, 331–361. Moore, J. C., Stinson, L. L., & Welniak, E. J. (2000). Income measurement error in surveys: A review. Journal of Official Statistics, 16, 331–361.
7.
go back to reference Locander, W. B., & Burton, J. P. (1976). The effect of question form on gathering income data by telephone. Journal of Marketing Research, 13(2), 189–192.CrossRef Locander, W. B., & Burton, J. P. (1976). The effect of question form on gathering income data by telephone. Journal of Marketing Research, 13(2), 189–192.CrossRef
8.
go back to reference Shih, W. P. (1983) Nonresponses to Income Questions in Telephone Surveys. In Proceedings of the Survey Research Methods Section, American Statistical Association (p. 283). Shih, W. P. (1983) Nonresponses to Income Questions in Telephone Surveys. In Proceedings of the Survey Research Methods Section, American Statistical Association (p. 283).
9.
go back to reference Clemens, T., & Dibben, C. (2014). A method for estimating wage, using standardized occupational classifications, for use in medical research in the place of self-reported income. BMC Medical Research Methodology, 28(14), 59.CrossRef Clemens, T., & Dibben, C. (2014). A method for estimating wage, using standardized occupational classifications, for use in medical research in the place of self-reported income. BMC Medical Research Methodology, 28(14), 59.CrossRef
10.
go back to reference Fukuoka, Y., Rankin, S. H., & Carroll, D. L. (2007). Systematic bias in self-reported annual household incomes among unpartnered elderly cardiac patients. Applied Nursing Research, 20(4), 205–209.CrossRefPubMed Fukuoka, Y., Rankin, S. H., & Carroll, D. L. (2007). Systematic bias in self-reported annual household incomes among unpartnered elderly cardiac patients. Applied Nursing Research, 20(4), 205–209.CrossRefPubMed
12.
go back to reference Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005). US valuation of the EQ-5D health states: Development and testing of the D1 valuation model. Medical Care, 43, 203–220.CrossRefPubMed Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005). US valuation of the EQ-5D health states: Development and testing of the D1 valuation model. Medical Care, 43, 203–220.CrossRefPubMed
13.
go back to reference Feeny, D., Furlong, W., Torrance, G. W., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40, 113–128.CrossRefPubMed Feeny, D., Furlong, W., Torrance, G. W., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40, 113–128.CrossRefPubMed
14.
go back to reference Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21, 271–292.CrossRefPubMed Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21, 271–292.CrossRefPubMed
15.
go back to reference Andresen, E. M., Rothenberg, B. M., & Kaplan, R. M. (1998). Performance of a self-administered mailed version of the Quality of Well-Being (QWB-SA) questionnaire among older adults. Medical Care, 36, 1349–1360.CrossRefPubMed Andresen, E. M., Rothenberg, B. M., & Kaplan, R. M. (1998). Performance of a self-administered mailed version of the Quality of Well-Being (QWB-SA) questionnaire among older adults. Medical Care, 36, 1349–1360.CrossRefPubMed
16.
go back to reference Kaplan, R. M., Sieber, W. J., & Ganiats, T. G. (1997). The Quality of Well-being Scale: Comparison of the interviewer administered version with a self-administered questionnaire. Psychology & Health, 12, 783–791.CrossRef Kaplan, R. M., Sieber, W. J., & Ganiats, T. G. (1997). The Quality of Well-being Scale: Comparison of the interviewer administered version with a self-administered questionnaire. Psychology & Health, 12, 783–791.CrossRef
17.
go back to reference Krause, N., Jay, G., & Liang, J. (1991). Financial strain and psychological well-being among the American and Japanese elderly. Psychology and Aging, 6(2), 170.CrossRefPubMed Krause, N., Jay, G., & Liang, J. (1991). Financial strain and psychological well-being among the American and Japanese elderly. Psychology and Aging, 6(2), 170.CrossRefPubMed
18.
go back to reference Boardman, J. D. (2004). Stress and physical health: the role of neighborhoods as mediating and moderating mechanisms. Social Science and Medicine, 58(12), 2473–2483.CrossRefPubMed Boardman, J. D. (2004). Stress and physical health: the role of neighborhoods as mediating and moderating mechanisms. Social Science and Medicine, 58(12), 2473–2483.CrossRefPubMed
19.
go back to reference Ellison, C. G., Boardman, J. D., Williams, D. R., & Jackson, J. S. (2001). Religious involvement, stress, and mental health: Findings from the 1995 Detroit Area Study. Social Forces, 80(1), 215–249.CrossRef Ellison, C. G., Boardman, J. D., Williams, D. R., & Jackson, J. S. (2001). Religious involvement, stress, and mental health: Findings from the 1995 Detroit Area Study. Social Forces, 80(1), 215–249.CrossRef
20.
go back to reference Hanmer, J., Cherepanov, D., Palta, M., Kaplan, R. M., Feeny, D., Fryback, D. G. Health Condition Impacts in a National Representative Cross-Sectional Survey Vary Substantially by Preference-Based Health Index. In press at medical decision making. Hanmer, J., Cherepanov, D., Palta, M., Kaplan, R. M., Feeny, D., Fryback, D. G. Health Condition Impacts in a National Representative Cross-Sectional Survey Vary Substantially by Preference-Based Health Index. In press at medical decision making.
Metagegevens
Titel
A single question about a respondent’s perceived financial ability to pay monthly bills explains more variance in health utility scores than absolute income and assets questions
Auteurs
Janel Hanmer
Dasha Cherepanov
Publicatiedatum
01-09-2016
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 9/2016
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1269-7

Andere artikelen Uitgave 9/2016

Quality of Life Research 9/2016 Naar de uitgave