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The European Journal of Health Economics
Published in: The European Journal of Health Economics 4/2016

Open Access 01-05-2016 | Original Paper

The short-run causal effect of tumor detection and treatment on psychosocial well-being, work, and income

Authors: Sofie J. Cabus, Wim Groot, Henriëtte Maassen van den Brink

Published in: The European Journal of Health Economics | Issue 4/2016

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Abstract

This paper estimates the short-run causal effect of tumor detection and treatment on psychosocial well-being, work and income. Tumor detection can be considered as a random event, so that we can compare individuals’ average outcomes in the year of diagnosis with the year before. We argue for using panel data estimation techniques that enable us to control for observed and unobserved information intrinsic to the individual and time constants. We use data of a national representative panel in the Netherlands that includes health survey information and data on work, education, and income between 2007 and 2012. Our findings show differences in the psychosocial dysfunction of men and women in response to tumor detection and treatment. Women, not men, are decreasingly likely to participate in the labor force as a result of malignant tumor detection, while no significant effects are found on her personal or household income. We also demonstrate that fixed effects panel data models are superior to matching techniques.
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Footnotes
1
Hereby, EU-12 Member States did not reach the initial 1985 target of 15 %.
 
2
Nonetheless, in recent debate there exists some controversy on the effectiveness of breast cancer screening in reducing mortality rates (e.g. KCE [18]; Canadian Task Force on Preventive Health Care [10].
 
3
We take into account that individuals can already have serious health impairments (i.e. other impairments than a tumor) needing hospitalization in the year before tumor diagnosis. In fact, we distinguish between \(D\left( 0 \right) \times H(1)\) and \(D\left( 0 \right) \times H\left( 0 \right)\).
 
4
Note that we do not have information before the year 2007, or after the year 2012. As such, the data is left and right censored.
 
Literature
1.
Andrykowski, M.A., Curran, S.L., Studts, J.L., Cunningham, L., Carpenter, J.S., McGrath, P.C., Sloan, D.A., Kenady, D.A.: Psychosocial adjustment and quality of life in women with breast cancer and benign breast problems: a controlled comparison. J. Clin. Epidemiol. 49, 827–834 (1996)CrossRefPubMed
2.
3.
Arora, N.K., Finney Rutten, L.J., Gustafson, D.H., Moser, R., Hawkins, R.P.: Perceived helpfulness and impact of social support provided by family, friends, and health care providers to women newly diagnosed with breast cancer. Psychooncology 16, 474–486 (2007). doi:10.​1002/​pon.​1084 CrossRefPubMed
4.
Baker, M., Stabile, M., Deri, C.: What do self-reported, objective, measures of health measure? J. Hum. Res. 39(4), 1067–1093 (2004)CrossRef
5.
Black, D.A., Smith, J.A.: How robust is the evidence on the effects of college quality? Evidence from matching. J. Econom. 121, 99–124 (2004)CrossRef
6.
Bradley, C.J., Bednarek, H.L., Neumark, D.: Breast cancer survival, work, and earnings. J. Health Econ. 21(5), 757–779 (2002)CrossRefPubMed
7.
Bradley, C.J., Neumark, D., Bednarek, H.L., Schenk, M.: Short-term effects of breast cancer on labor market attachment: results from a longitudinal study. J. Health Econ. 24, 137–160 (2005)CrossRefPubMed
8.
Bound, J.: Self-reported versus objective measures of health in retirement models. J. Hum. Res. 26(1), 106–138 (1991)CrossRef
9.
Carlsen, K., Oksbjerg, S., Kirsten Frederiksen, D., Diderichsen, F., Johansen, C.: Cancer and the risk for taking early retirement pension: a Danish cohort study. Scand. J. Public Health 36, 117–125 (2008)CrossRefPubMed
10.
Canadian Task Force on Preventive Health Care: Recommendations on screening for breast cancer in average-risk women aged 40–74 years. CMAJ 183(17), 1957–1958 (2011). doi:10.​1503/​cmaj.​111721 CrossRef
11.
Cook, T.D., Campbell, D.T.: Quasi-experimentation: design and analysis issues for field settings. Houghton Mifflin Company, Boston (1979)
12.
European Communities: European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis, 4th edn, p. 432. Office for Official Publications of the European Communities, Luxembourg (2006)
13.
Groot, W., Maassen van den Brink, H.: Life satisfaction and preference drift. Soc. Indic. Res. 50, 315–328 (2000)CrossRef
14.
Groot, W., Maassen van den Brink, H.: The compensating income variation of cardiovascular disease. Health Econ. 15, 1143–1148 (2006)CrossRefPubMed
15.
16.
Heinesen, E., Kolodziejczyk, C.: Effects of breast and colorectal cancer on labour market outcomes—average effects and educational gradients. J. Health Econ. 32(6), 1028–1042 (2013)CrossRefPubMed
17.
Kahneman, D., Krueger, A.B.: Developments in the measurement of subjective well-being. J. Econ. Perspect. 20(1), 3–24 (2006)CrossRef
18.
KCE (2014). Informed choice on breast cancer screening: messages to support informed decision. KCE reports 216, Belgian Health Care Knowledge Center, 156
19.
Kling, J.R., Liebman, J.B., Katz, L.F.: Experimental analysis of neighborhood effects. Econometrica 75(1), 83–119 (2007)CrossRef
20.
21.
22.
Raque-Bogdan, T.: The work life and career development of young working women who are breast cancer survivors: a qualitative study. Dissertation of the Department of Counseling, Higher Education, and Special Education, (2013), 259
23.
Reddick, B.K., Nanda, J.P., Campbell, L., Ryman, D.G., Gaston-Johansson, F.: Examining the influence of coping with pain on depression, anxiety, and fatigue among women with breast cancer. J. Psychosoc. Oncol. 23(2–3), 137–157 (2006). doi:10.​1300/​J077v23n02_​09 CrossRef
24.
Rogers, S.N., Harvey-Woodworth, C.N., Hare, J., Leong, P., Lowe, D.: Patients’ perception of the financial impact of head and neck cancer and the relationship to health related quality of life. Br. J. Oral Maxillofac. Surg. 50, 410–416 (2012)CrossRefPubMed
25.
Rosenbaum, P., Rubin, D.: The central role of the propensity score in observational studies for causal effects. Biometrika 70, 41–55 (1983)CrossRef
26.
Rosenbaum, P., Rubin, D.: Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. Am. Stat. 39, 33–38 (1985)
27.
Sammarco, A.: Perceived social support, uncertainty, and quality of life of younger breast cancer survivors. Cancer Nurs. 24(3), 212–219 (2001)CrossRefPubMed
28.
Scherpenzeel, A.C., Das, M.: True longitudinal and probability-based internet panels: evidence from the Netherlands. In: Das, M., Ester, P., Kaczmirek, L. (eds.) Social and behavioral research and the internet: advances in applied methods and research strategies, pp. 77–104. Taylor and Francis, Boca Raton (2010)
29.
Short, P.F., Vasey, J., Moran, J.: Long-term effects of cancer survivorship on the employment of older workers. Health Serv. Res. 43, 193–210 (2008)CrossRefPubMedCentral
30.
Steiner, J.F., Cavender, T.A., Main, D., Bradley, C.: Assessing the impact of cancer on work outcomes. Cancer 101(8), 1703–1711 (2004)CrossRefPubMed
31.
Wonghongkul, T., Dechaprom, N., Phumivichuvate, L., Losawatkul, S.: Uncertainty appraisal coping and quality of life in breast cancer survivors. Cancer Nurs. 29(3), 250–257 (2006)CrossRefPubMed
32.
Yabroff, K.R., Mariotto, A.B., Feuer, E., Brown, M.L.: Projections of the costs associated with colorectal cancer care in the United States, 2000–2020. Health Econ. 17(8), 947–959 (2008)CrossRefPubMed
33.
Yabroff, K.R., Lamont, E.B., Mariotto, A., Warren, J.L., Topor, M., Meekins, A., Brown, M.L.: Cost of care for elderly cancer patients in the United States. J. Natl Cancer Inst. 100(9), 630–641 (2008)CrossRefPubMed
Metadata
Title
The short-run causal effect of tumor detection and treatment on psychosocial well-being, work, and income
Authors
Sofie J. Cabus
Wim Groot
Henriëtte Maassen van den Brink
Publication date
01-05-2016
Publisher
Springer Berlin Heidelberg
Published in
The European Journal of Health Economics / Issue 4/2016
Print ISSN: 1618-7598
Electronic ISSN: 1618-7601
DOI
https://doi.org/10.1007/s10198-015-0688-7

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