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Toward an Understanding of the Antecedents to Health Information Privacy Concern: A Mixed Methods Study

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Abstract

As personal health information is digitized and entrusted to healthcare professionals and the technology vendors that manage health information systems (e.g., electronic health records), questions continue to arise regarding how this information is used and protected. By understanding what factors shape people’s health information privacy concerns (HIPCs), organizations can better manage reactions and concerns regarding the use of new technologies and guidance can be produced to help people better protect their health information. We conduct a mixed methods study to examine antecedents to HIPC and find that individuals’ characteristics, perceptions, and experiences all play important roles in shaping HIPC. We also show that users who report high HIPC are less likely to allow their health information to be included in an electronic health record system. The study is conducted using Irish respondents and thus provides a European perspective from a country in which health information systems are not yet widespread.

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Notes

  1. https://www.nlm.nih.gov/hmd/greek/greek_oath.html

  2. In this section, we have traced the direct lineage to the IPC scale by Hong and Thong (Hong and Thong 2013) that we use in this paper. It should be noted that the CFIP, IUIPC, and the IPC are not the only privacy concern scales in the literature (Preibusch 2013). Another privacy concern construct was introduced by Dinev and Hart (Dinev and Hart 2004) using Smith et al. (Smith et al. 1996) and Culnan and Armstrong (Culnan and Armstrong 1999) for inspiration. Their variation of a privacy concern instrument was refined into a four-item, single-factor scale that has also been widely employed [e.g., (Dinev and Hart 2006a; Dinev and Hart 2006b; Xu et al. 2011)]. This research group has published extensively in IS on privacy and we use their work in developing our antecedents. However, we have chosen the more recent IPC construct in the formal lineage of the CFIP for the privacy concern construct in this paper because through a series of papers the scale development for this instrument has been extensively and thoroughly conducted and tested.

  3. We will also test perceived information sensitivity, but classify that factor under perceptions and discuss it below.

  4. https://www.nbcnews.com/tech/security/big-paydays-force-hospitals-prepare-ransomware-attacks-n557176, https://www.theguardian.com/technology/2016/feb/17/los-angeles-hospital-hacked-ransom-bitcoin-hollywood-presbyterian-medical-center

  5. https://www.reuters.com/article/us-anthem-cyber-settlement/anthem-to-pay-record-115-million-to-settle-u-s-lawsuits-over-data-breach-idUSKBN19E2ML

  6. https://gdpr-info.eu/

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Fox, G., James, T.L. Toward an Understanding of the Antecedents to Health Information Privacy Concern: A Mixed Methods Study. Inf Syst Front 23, 1537–1562 (2021). https://doi.org/10.1007/s10796-020-10053-0

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