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The influence of institutional pressures on hospital electronic health record presence

Author

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  • Fareed, Naleef
  • Bazzoli, Gloria J.
  • Farnsworth Mick, Stephen S.
  • Harless, David W.

Abstract

Electronic health records (EHR) are a promising form of health information technology that could help US hospitals improve on their quality of care and costs. During the study period explored (2005–2009), high expectations for EHR diffused across institutional stakeholders in the healthcare environment, which may have pressured hospitals to have EHR capabilities even in the presence of weak technical rationale for the technology. Using an extensive set of organizational theory-specific predictors, this study explored whether five factors – cause, constituents, content, context, and control – that reflect the nature of institutional pressures for EHR capabilities motivated hospitals to comply with these pressures. Using information from several national data bases, an ordered probit regression model was estimated. The resulting predicted probabilities of EHR capabilities from the empirical model's estimates were used to test the study's five hypotheses, of which three were supported. When the underlying cause, dependence on constituents, or influence of control were high and potential countervailing forces were low, hospitals were more likely to employ strategic responses that were compliant with the institutional pressures for EHR capabilities. In light of these pressures, hospitals may have acquiesced, by having comprehensive EHR capabilities, or compromised, by having intermediate EHR capabilities, in order to maintain legitimacy in their environment. The study underscores the importance of our assessment for theory and policy development, and provides suggestions for future research.

Suggested Citation

  • Fareed, Naleef & Bazzoli, Gloria J. & Farnsworth Mick, Stephen S. & Harless, David W., 2015. "The influence of institutional pressures on hospital electronic health record presence," Social Science & Medicine, Elsevier, vol. 133(C), pages 28-35.
  • Handle: RePEc:eee:socmed:v:133:y:2015:i:c:p:28-35
    DOI: 10.1016/j.socscimed.2015.03.047
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    References listed on IDEAS

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    1. Gloria J. Bazzoli & Hsueh‐Fen Chen & Mei Zhao & Richard C. Lindrooth, 2008. "Hospital financial condition and the quality of patient care," Health Economics, John Wiley & Sons, Ltd., vol. 17(8), pages 977-995, August.
    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    3. Jeffrey S. McCullough, 2008. "The adoption of hospital information systems," Health Economics, John Wiley & Sons, Ltd., vol. 17(5), pages 649-664, May.
    4. Roggenkamp, Susan D. & White, Kenneth R. & Bazzoli, Gloria J., 2005. "Adoption of hospital case management: economic and institutional influences," Social Science & Medicine, Elsevier, vol. 60(11), pages 2489-2500, June.
    5. Corey M. Angst & Ritu Agarwal & V. Sambamurthy & Ken Kelley, 2010. "Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals," Management Science, INFORMS, vol. 56(8), pages 1219-1241, August.
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    Cited by:

    1. Kassem, Mohamd & Ahmed, Ahmed Louay, 2022. "Digital transformation through Building Information Modelling: Spanning the macro-micro divide," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    2. Ning Liu & Zhuo Chen & Guoxian Bao, 2021. "Unpacking the red packets: institution and informal payments in healthcare in China," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(8), pages 1183-1194, November.
    3. Williams, Colin C. & Horodnic, Adrian V., 2017. "Rethinking informal payments by patients in Europe: An institutional approach," Health Policy, Elsevier, vol. 121(10), pages 1053-1062.
    4. Wei-Chih Lu & I-Ching Tsai & Kuan-Chung Wang & Te-Ai Tang & Kuan-Chen Li & Ya-Ci Ke & Peng-Ting Chen, 2021. "Innovation Resistance and Resource Allocation Strategy of Medical Information Digitalization," Sustainability, MDPI, vol. 13(14), pages 1-20, July.

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