IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v62y2006i12p2998-3010.html
   My bibliography  Save this article

The role of education in the uptake of preventative health care: The case of cervical screening in Britain

Author

Listed:
  • Sabates, Ricardo
  • Feinstein, Leon

Abstract

This paper reports findings on the relationship between education and the take-up of screening for cervical cancer, as an example of preventative health-care activity. Theoretically, education can enhance the demand for preventative health services by raising awareness of the importance of undertaking regular health check-ups and may also improve the ways in which individuals understand information regarding periodical tests, communicate with the health practitioner, and interpret results. Furthermore, education enhances the inclusion of individuals in society, improving self-efficacy and confidence. All these factors may increase service uptake. The empirical analysis uses data from the British Household Panel Survey (BHPS) and applies techniques for discrete panel data to estimate the parameters of the model. Results show that adult learning leading to qualifications is statistically associated with an increase in the uptake of screening. The marginal effect indicates that participation in courses leading to qualifications increases the probability of having a smear test between 4.3 and 4.4 percentage points. This estimate is strongly robust to time-invariant selectivity bias in education and the inclusion of income, class, occupation, and parental socio-economic status. These findings enrich existing evidence on the socio-economic determinants of screening for cervical cancer and enable policy makers to better understand barriers to service uptake.

Suggested Citation

  • Sabates, Ricardo & Feinstein, Leon, 2006. "The role of education in the uptake of preventative health care: The case of cervical screening in Britain," Social Science & Medicine, Elsevier, vol. 62(12), pages 2998-3010, June.
  • Handle: RePEc:eee:socmed:v:62:y:2006:i:12:p:2998-3010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(05)00625-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Peter D. Sasieni & Joanna Adams, 2000. "Analysis of cervical cancer mortality and incidence data from England and Wales: evidence of a beneficial effect of screening," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(2), pages 191-209.
    2. Harlan, L.C. & Bernstein, A.B. & Kessler, L.G., 1991. "Cervical cancer screening: Who is not screened and why?," American Journal of Public Health, American Public Health Association, vol. 81(7), pages 885-891.
    3. Catherine Ross & John Mirowsky, 1999. "Refining the association between education and health: The effects of quantity, credential, and selectivity," Demography, Springer;Population Association of America (PAA), vol. 36(4), pages 445-460, November.
    4. Selvin, E. & Brett, K.M., 2003. "Breast and cervical cancer screening: Sociodemographic predictors among White, Black, and Hispanic women," American Journal of Public Health, American Public Health Association, vol. 93(4), pages 618-623.
    5. Wagstaff, Adam, 1986. "The demand for health : Some new empirical evidence," Journal of Health Economics, Elsevier, vol. 5(3), pages 195-233, September.
    6. Goddard, Maria & Smith, Peter, 2001. "Equity of access to health care services: : Theory and evidence from the UK," Social Science & Medicine, Elsevier, vol. 53(9), pages 1149-1162, November.
    7. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    8. Doyle, Yvonne, 1991. "A survey of the cervical screening service in a London district, including reasons for non-attendance, ethnic responses and views on the quality of the service," Social Science & Medicine, Elsevier, vol. 32(8), pages 953-957, January.
    9. Robert Haveman & Barbara Wolfe, 1995. "The Determinants of Children's Attainments: A Review of Methods and Findings," Journal of Economic Literature, American Economic Association, vol. 33(4), pages 1829-1878, December.
    10. Martin, Stephen & Smith, Peter C., 1999. "Rationing by waiting lists: an empirical investigation," Journal of Public Economics, Elsevier, vol. 71(1), pages 141-164, January.
    11. Geil, Peter, et al, 1997. "Economic Incentives and Hospitalization in Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 295-311, May-June.
    12. Windmeijer, F A G & Silva, J M C Santos, 1997. "Endogeneity in Count Data Models: An Application to Demand for Health Care," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 281-294, May-June.
    13. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
    14. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eric French & Elaine Kelly & Richard Cookson & Carol Propper & Miqdad Asaria & Rosalind Raine, 2016. "Socio‐Economic Inequalities in Health Care in England," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 371-403, September.
    2. Franz Hackl & Martin Halla & Michael Hummer & Gerald J. Pruckner, 2015. "The Effectiveness of Health Screening," Health Economics, John Wiley & Sons, Ltd., vol. 24(8), pages 913-935, August.
    3. Slepchuk, Alec N. & Milne, George R. & Swani, Kunal, 2022. "Overcoming privacy concerns in consumers’ use of health information technologies: A justice framework," Journal of Business Research, Elsevier, vol. 141(C), pages 782-793.
    4. Alexander Labeit & Frank Peinemann, 2015. "Breast and cervical cancer screening in Great Britain: Dynamic interrelated processes," Health Economics Review, Springer, vol. 5(1), pages 1-17, December.
    5. Barbara Willems & Piet Bracke, 2018. "The education gradient in cancer screening participation: a consistent phenomenon across Europe?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(1), pages 93-103, January.
    6. Merkin, Sharon Stein & Diez Roux, Ana V. & Coresh, Josef & Fried, Linda F. & Jackson, Sharon A. & Powe, Neil R., 2007. "Individual and neighborhood socioeconomic status and progressive chronic kidney disease in an elderly population: The Cardiovascular Health Study," Social Science & Medicine, Elsevier, vol. 65(4), pages 809-821, August.
    7. Farrukh Shahzad & Fahad Saleem & Qaiser Iqbal & Naheed Haque & Sajjad Haider & Muhammad Salman & Imran Masood & Mohamed Azmi Hassali & Shehla Iftikhar & Mohammad Bashaar & Tafseera Hashemi, 2018. "A Cross-Sectional Assessment of Health Literacy among Hypertensive Community of Quetta City, Pakistan," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 11(4), pages 8685-8693, December.
    8. Yen-ju Lin & Tsai-ching Liu & Chin-shyan Chen, 2012. "Healthcare Information and the Utilization of Pap-smear Testing amongst Taiwanese Women," Economics Bulletin, AccessEcon, vol. 32(1), pages 67-79.
    9. Willems, Barbara & Bracke, Piet, 2018. "Participants, Physicians or Programmes: Participants’ educational level and initiative in cancer screening," Health Policy, Elsevier, vol. 122(4), pages 422-430.
    10. Micha Kaiser & Jörg Schiller & Christopher Schreckenberger, 2018. "The effectiveness of a population-based skin cancer screening program: evidence from Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(3), pages 355-367, April.
    11. Anezaki, Hisataka & Hashimoto, Hideki, 2018. "Time cost of child rearing and its effect on women's uptake of free health checkups in Japan," Social Science & Medicine, Elsevier, vol. 205(C), pages 1-7.
    12. Alexander Michael Labeit & Frank Peinemann, 2017. "Determinants of a GP visit and cervical cancer screening examination in Great Britain," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-14, April.
    13. Mani, Sneha Sarah & Schut, Rebecca Anna, 2023. "The impact of the COVID-19 pandemic on inequalities in preventive health screenings: Trends and implications for U.S. population health," Social Science & Medicine, Elsevier, vol. 328(C).
    14. Vogt, Verena & Siegel, Martin & Sundmacher, Leonie, 2014. "Examining regional variation in the use of cancer screening in Germany," Social Science & Medicine, Elsevier, vol. 110(C), pages 74-80.
    15. Anne-Marie Konopka & Thomas Barnay & Nathalie Billaudeau & Christine Sevilla-Dedieu, 2019. "Les déterminants du recours au dépistage du cancer du col de l’utérus : une analyse départementale," Erudite Working Paper 2019-19, Erudite.
    16. Ozdamar, Oznur & Giovanis, Eleftherios, 2017. "The causal effects of survivors’ benefits on health status and poverty of widows in Turkey: Evidence from Bayesian Networks," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 46-61.
    17. Elvira Maria Godinho de Seixas Maciel & Juliana de Souza Amancio & Daniel Barros de Castro & José Ueleres Braga, 2018. "Social determinants of pulmonary tuberculosis treatment non-adherence in Rio de Janeiro, Brazil," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-14, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tue Gørgens & Christopher L. Skeels & Allan H. Würtz, 2009. "Efficient Estimation of Non-Linear Dynamic Panel Data Models with Application to Smooth Transition Models," CREATES Research Papers 2009-51, Department of Economics and Business Economics, Aarhus University.
    2. Grossman, Michael, 2006. "Education and Nonmarket Outcomes," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 10, pages 577-633, Elsevier.
    3. Díez-Esteban, José María & Farinha, Jorge Bento & García-Gómez, Conrado Diego, 2016. "The role of institutional investors in propagating the 2007 financial crisis in Southern Europe," Research in International Business and Finance, Elsevier, vol. 38(C), pages 439-454.
    4. Eicher, Theo S. & Schreiber, Till, 2010. "Structural policies and growth: Time series evidence from a natural experiment," Journal of Development Economics, Elsevier, vol. 91(1), pages 169-179, January.
    5. Kieran McQuinn & Karl Whelan, 2007. "Solow ( 1956 ) as a model of cross-country growth dynamics," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 23(1), pages 45-62, Spring.
    6. Manthos D. Delis & Sotirios Kokas & Steven Ongena, 2016. "Foreign Ownership and Market Power in Banking: Evidence from a World Sample," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 449-483, March.
    7. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    8. Philippe Martin & Thierry Mayer & Florian Mayneris, 2008. "Spatial Concentration and Firm-Level Productivity in France," Sciences Po publications 6858, Sciences Po.
    9. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    10. Lee, Chien-Chiang & Yang, Shih-Jui & Chang, Chi-Hung, 2014. "Non-interest income, profitability, and risk in banking industry: A cross-country analysis," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 48-67.
    11. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    12. Carlos Carreira & Luís Lopes, 2016. "Collecting new pieces to the regional knowledge spillovers puzzle: high-tech versus low-tech industries," GEMF Working Papers 2016-06, GEMF, Faculty of Economics, University of Coimbra.
    13. Jose Garcia-Louzao & Linas Tarasonis, 2023. "Productivity-enhancing reallocation during the Great Recession: evidence from Lithuania," Oxford Economic Papers, Oxford University Press, vol. 75(3), pages 729-749.
    14. Maynou, L. & McGuire, A. & Serra-Sastre, V., 2019. "Exploring the Impact of New Medical Technology on Workforce Planning," Working Papers 19/07, Department of Economics, City University London.
    15. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    16. Kampelmann, Stephan & Rycx, François, 2012. "The impact of educational mismatch on firm productivity: Evidence from linked panel data," Economics of Education Review, Elsevier, vol. 31(6), pages 918-931.
    17. Bertrand, Olivier & Zuniga, Pluvia, 2006. "R&D and M&A: Are cross-border M&A different? An investigation on OECD countries," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 401-423, March.
    18. Fernando Mayoral & Carlos Garcimartín, 2013. "The impact of population on the reduction of steady-state disparities across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 49-69, February.
    19. Falavigna, Greta & Ippoliti, Roberto, 2023. "SMEs’ behavior under financial constraints: An empirical investigation on the legal environment and the substitution effect with tax arrears," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    20. Guerino Ardizzi & Massimiliano Cologgi, 2022. "Business models and pricing strategies in the market for ATM withdrawals," Temi di discussione (Economic working papers) 23, Bank of Italy, Economic Research and International Relations Area.

    More about this item

    Keywords

    Britain Education Screening Cancer;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:62:y:2006:i:12:p:2998-3010. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.