"Doctors’ Orders or Patients’ Preferences? Examining the Role of Physicians in  Patients’ Privacy Decisions on Health Information Exchange Platforms"

Yaraghi, Niam; Gopal, Ram D.; Ramesh, R.

doi:10.17705/1jais.00557

Cited by 16 publications

(15 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This finding suggests that opt-in policies may uniquely contribute to hospital barriers to HIE compared to opt-out policies. Given the administrative burden that opt-in consent policies introduce, 17 our findings are consistent with a larger body of work supporting the claim that opt-in policies are more burdensome to implement. However, policies requiring explicit consent such as these may serve an important protective role in the use of patient health information.…”

Section: Discussionsupporting

confidence: 85%

“…Previous studies have examined patient decisions in the context of a single HIE and individual patient-level factors associated with opt-in to health information exchange data sharing. 16,17 These studies provide important insight into the factors related to patients' HIE consent decisions, and imply that there is significant administrative cost to obtaining patient consent.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Opt-in consent policies: potential barriers to hospital health information exchange

Apathy

Holmgren²

2020

Am J Manag Care

View full text Add to dashboard Cite

Objectives: First, to assess whether hospitals in states requiring explicit patient consent ("optin") for health information exchange (HIE) are more likely to report regulatory barriers to HIE. Second, to analyze whether these policies correlate with hospital volume of HIE.Study Design: Cross-sectional analysis of US non-federal acute care hospitals in 2016. Methods:We combined legal scholarship surveying HIE-relevant state laws with the AHA Annual IT Supplement for regulatory barriers and hospital characteristics. Data from CMS reports for hospitals attesting to Meaningful Use Stage 2 in 2016 (MU2, renamed "Promoting Interoperability" in 2018) captured hospital HIE volume. We used multivariate logistic regression and linear regression to estimate the association between opt-in state consent policies and reported regulatory barriers and HIE volume, respectively.Results: Hospitals in states with opt-in consent policies were 7.8 percentage points more likely than hospitals in opt-out states to report regulatory barriers to HIE (p=0.03). In subgroup analyses, this finding held among hospitals that did not attest to MU2 (7.7pp, p=0.02). Among hospitals attesting, we did not find a relationship between opt-in policies and regulatory barriers (8.0pp, p=0.13), nor evidence of a relationship between opt-in policies and HIE volume (ß=0.56, p=0.76). Conclusions:Our findings suggest that opt-in consent laws may carry greater administrative burdens compared to opt-out policies. However, less technologically advanced hospitals may bear more of this burden. Furthermore, opt-in policies may not impact HIE volume for hospitals that have already achieved a degree of technological sophistication. Policymakers should carefully consider the incidence of administrative burdens when crafting laws pertaining to HIE.

show abstract

Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Opt-in consent policies: potential barriers to hospital health information exchange

Apathy

Holmgren²

2020

Am J Manag Care

View full text Add to dashboard Cite

show abstract

“…Previous studies indicate that patients are not likely to participate in HIEs simply based on physician recommendations, but they carefully evaluate the risks and benefits of providing consent. 60 In this study, the direct exchange mechanism receives the highest public support (perceived benefits outweigh perceived risks). This result implies that patients are more likely to opt-in to direct HIE systems and more willing to disclose their PHI to physicians if health care providers widely use the direct model.…”

Section: Perceived Support and Willingness To Share Phimentioning

confidence: 87%

Patients' Perceptions of Different Information Exchange Mechanisms: An Exploratory Study in the United States

Esmaeilzadeh

2020

Methods Inf Med

View full text Add to dashboard Cite

Background Patients may seek health care services from various providers during treatment. These providers could serve in a network (affiliated) or practice separately (unaffiliated). Thus, using secure and reliable health information exchange (HIE) mechanisms would be critical to transfer sensitive personal health information (PHI) across distances. Studying patients' perceptions and opinions about exchange mechanisms could help health care providers build more complete HIEs' databases and develop robust privacy policies, consent processes, and patient education programs. Objectives Due to the exploratory nature of this study, we aim to shed more light on public perspectives (benefits, concerns, and risks) associated with the four data exchange practices in the health care sector. Methods In this study, we compared public perceptions and expectations regarding four common types of exchange mechanisms used in the United States (i.e., traditional, direct, query-based, patient-mediated exchange mechanisms). Traditional is an exchange through fax, paper mailing, or phone calls, direct is a provider-to-provider exchange, query-based is sharing patient data with a central repository, and patient-mediated is an exchange mechanism in which patients can access data and monitor sharing. Data were collected from 1,624 subjects using an online survey to examine the benefits, risks, and concerns associated with the four exchange mechanisms from patients' perspectives. Results Findings indicate that several concerns and risks such as privacy concerns, security risks, trust issues, and psychological risks are raised. Besides, multiple benefits such as access to complete information, communication improvement, timely and convenient information sharing, cost-saving, and medical error reduction are highlighted by respondents. Through consideration of all risks and benefits associated with the four exchange mechanisms, the direct HIE mechanism was selected by respondents as the most preferred mechanism of information exchange among providers. More than half of the respondents (56.18%) stated that overall they favored direct exchange over the other mechanisms. 42.70% of respondents expected to be more likely to share their PHI with health care providers who implemented and utilized a direct exchange mechanism. 43.26% of respondents believed that they would support health care providers to leverage a direct HIE mechanism for sharing their PHI with other providers. The results exhibit that individuals expect greater benefits and fewer adverse effects from direct HIE among health care providers. Overall, the general public sentiment is more in favor of direct data transfer. Our results highlight that greater public trust in exchange mechanisms is required, and information privacy and security risks must be addressed before the widespread implementation of such mechanisms. Conclusion This exploratory study's findings could be interesting for health care providers and HIE policymakers to analyze how consumers perceive the current exchange mechanisms, what concerns should be addressed, and how the exchange mechanisms could be modified to meet consumers' needs.

show abstract

“…Three different lines of focus can be identified in this research. Firstly, some studies examine general conditions and challenges in the implementation process of IS in the health context, such as withholding of information and differing stakeholder interests [50], [51]. Subsequently, the second research focus pinpoints tangible scopes of the application of IS systems in the context of health [52], [44].…”

Section: Macro-level Studiesmentioning

confidence: 99%

Framing Research Questions Intersecting Information Systems and Health: A New Research Perspective at Micro- and Macro-Level

Greve

Gantner²,

Harnischmacher

et al. 2021

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

Digital health is an established research area in information systems (IS) research. The domain involves individual human behavior, the broader social, healthcare providers, and other organizations. The rapid spread and use of health technologies have opened up considerable opportunities for research to evaluate and test existing theories. To generate an overview of the status quo, we apply the belief-actionoutcome (BAO) framework as a lens to understand how current research has addressed the various aspects of digital health. Overall, we analyzed 46 studies from well-regarded IS outlets. Therefore, we aim at providing a comprehensive review and synthesis of the literature. Our results indicate a focus on behavioral research and action formation, but also a void regarding design-oriented studies, as well as multi-level studies. In summary, this study develops a research agenda for digital health, which includes six research questions that address research focus, health phenomena, at the macro-and micro-level.

show abstract

"Doctors’ Orders or Patients’ Preferences? Examining the Role of Physicians in Patients’ Privacy Decisions on Health Information Exchange Platforms"

Cited by 16 publications

References 55 publications

Opt-in consent policies: potential barriers to hospital health information exchange

Opt-in consent policies: potential barriers to hospital health information exchange

Patients' Perceptions of Different Information Exchange Mechanisms: An Exploratory Study in the United States

Framing Research Questions Intersecting Information Systems and Health: A New Research Perspective at Micro- and Macro-Level

Contact Info

Product

Resources

About