Abstract
This cross-national study examines how the relationship between national eHealth initiatives and health outcomes are contingent on (1) macro-economic stability; (2) GDP per capita; and (3) institutions. Resource Based View’s (RBV) resource complementary perspective and literature on Information Technology and health outcomes are used as the guiding theoretical framework. Publicly available archival data from more than 50 countries are gathered to understand the moderating effect. Health outcomes are measured through Infant Survival Rate (ISR). The results indicated that there is no direct effect of eHealth initiatives on health outcomes; however, eHealth initiatives interact with above three contingencies affecting health outcomes. Macro-economic stability moderated the relationship between eHealth development and health outcomes positively. GDP per capita and institutions moderated the relationship of eHealth development and health outcomes in a negative direction. Implications of the findings for theoretical discourse of the resource complimentary perspective and future research are discussed in this paper.
Chapter PDF
References
Kohn, L.T., Corrigan, J., Donaldson, M.S.: To err is human: building a safer health system, vol. 6. Natl. Academy Pr. (2000)
America, I.o.M.C.o.Q.o.H.C.i.: Crossing the quality chasm: A new health system for the 21st century. National Academies Press (2001)
Wu, S., et al.: Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine 144(10), 742–752 (2006)
World-Health-Organization, Global Observatory for eHealth (GOe) (2006), http://www.who.int/kms/initiatives/ehealth/en
Berwick, D.M.: What ‘patient-centered’should mean: confessions of an extremist. Health Affairs 28(4), w555–w565 (2009)
Kauffman, R.J., Kumar, A.: Impact of information and communication technologies on country development: Accounting for area interrelationships. International Journal of Electronic Commerce 13(1), 11–58 (2008)
Lohr, S.: Doctors Raise Doubts on Digital Health Data. New York Times (2009)
Teece, D.J.: Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy. Research Policy 15(6), 285–305 (1986)
Srivastava, S.C., Thompson, S.: E-Government, E-Business and National Economic Performance (2010)
Mithas, S., Khuntia, J., Agarwal, R.: Information Technology and Life Expectancy: A Country-Level Analysis (2009)
Teece, D.J.: The Strategic Management of the Oxford Handbook of Strategy, p. 138 (2006)
Shaw, B.: Innovation and new product development in the UK medical equipment industry. International Journal of Technology Management 15(3), 433–445 (1998)
Barney, J., Wright, M., Ketchen, D.J.: The resource-based view of the firm: Ten years after 1991. Journal of Management 27(6), 625–641 (2001)
Ravichandran, T., Lertwongsatien, C.: Effect of information systems resources and capabilities on firm performance: A resource-based perspective. Journal of Management Information Systems 21(4), 237–276 (2005)
Porter, M.E., Schwab, K.: The Global Competitiveness Report 2008–2009 (2009)
Car, J., et al.: The impact of eHealth on the quality and safety of healthcare. In: A Systemic Overview and Synthesis of the Literature. Imperial College London and The University of Edinburgh, London (2008)
Black, A.D., et al.: The impact of eHealth on the quality and safety of health care: a systematic overview. PLoS Medicine 8(1), e1000387 (2011)
Stroetmann, K.A., et al.: eHealth is Worth it: The economic benefits of implemented eHealth solutions at ten European sites. European Commission (2006)
Bagchi, K., Udo, G., Kesh, M.: An Empirical Study Identifying the Factors that Impact eHealth Infastructure and eHealth Use (2005)
Srivastava, S.C., Teo, T.S.H.: What facilitates e-government development? A cross-country analysis. An International Journal on Electronic Government 4(4), 365–378 (2007)
Groot, W., Van Den Brink, H.M.: The health effects of education. Economics of Education Review 26(2), 186–200 (2007)
Diaz, J.A., et al.: Patients’ use of the Internet for medical information. Journal of General Internal Medicine 17(3), 180–185 (2002)
Kiecolt, K.J., Nathan, L.E.: Secondary analysis of survey data 1985. Sage Publications, Inc. (1985)
Woszczynski, A.B., Whitman, M.E.: The problem of common method variance in IS research. The Handbook of Information Systems Research, 66–77 (2004)
World Health Organization (WHO), W.H.S., WHO Press, Geneva (2011), http://www.who.int/whosis/whostat/2011/en/index.html
United Nations Department of Economic and Social Affairs (2008). United Nations E-Government Survey (2008), http://unpan1.un.org/intradoc/groups/public/documents/un/unpan028607.pdf
WITSA, Digital Planet 2008: The Global Information Economy. Arlington: WITSA (2008)
Bankole, F.O., Kweku, M.O., Brown, I.: Exploring the Impacts of ICT Investments on Dimensions of Human Development in Different Contexts: A Regression Splines Analysis. In: Proceedings of SIG GlobDev Fourth Annual Workshop (2011)
Krishnan, S., Teo, T.: Engaging Citizens in Managing Electronic Government Service Quality: A Country-Level Analysis (2011)
Krishnan, S., Teo, T.S.H.: The Effect of Information Systems Capabilities on Sustainability: A Country-Level Analysis (2011)
Ngwenyama, O., et al.: Is There A Relationship Between ICT, Health, Education And Development? An Empirical Analysis of five West African Countries from 1997-2003. The Electronic Journal of Information Systems in Developing Countries 23(0) (2006)
Dutta, S., Mia, I.: Global Information Technology Report 2008-2009. World Economic Forum (2010)
Gujarati, D.N.: Basic Econometrics, 4th edn. McGraw-Hill, New York (2003)
Gujarati, D.N., Porter, C.: Basic Econometrics, 5th edn., pp. 260–261, 338. McGraw-Hill International Edition, Boston (2009)
Hair Jr., J., Black, W.C., Babin, B.J., Anderson, R.E., Tatham, R.L.: Multivariate data analysis (2006)
Husted, B.W., Instituto Technologico y de Estudios.: Wealth, culture, and corruption. Journal of International Business Studies, 339–359 (1999)
Frazier, P.A., Tix, A.P., Barron, K.E.: Testing moderator and mediator effects in counseling psychology research. Journal of Counseling Psychology 51(1), 115 (2004)
Aiken, L.S., West, S.G., Reno, R.R.: Multiple regression: Testing and interpreting interactions 1991. Sage Publications, Inc. (1991)
West, S.G., Aiken, L.S., Krull, J.L.: Experimental personality designs: Analyzing categorical by continuous variable interactions. Journal of Personality 64(1), 1–48 (1996)
Cohen, J., Cohen, P., West, G.S., Aiken, L.S.: Applied multiple regression/correlation analysis for the behavioral sciences (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 IFIP International Federation for Information Processing
About this paper
Cite this paper
Ahangama, S., Poo, D.C.C. (2012). Moderating Effect of Environmental Factors on eHealth Development and Health Outcomes: A Country-Level Analysis. In: Bhattacherjee, A., Fitzgerald, B. (eds) Shaping the Future of ICT Research. Methods and Approaches. IFIP Advances in Information and Communication Technology, vol 389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35142-6_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-35142-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35141-9
Online ISBN: 978-3-642-35142-6
eBook Packages: Computer ScienceComputer Science (R0)