Do personal health concerns and trust in healthcare providers mitigate privacy concerns? Effects on patients’ intention to share personal health data on electronic health records

Chérif, Emna; Bezaz, Nora; Mzoughi, Manel

doi:10.1016/j.socscimed.2021.114146

Cited by 48 publications

(50 citation statements)

References 63 publications

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“…Buyers who are more worried about the environment are more likely to take into consideration the environmental effect of their shopping decisions (Follows & Jobber, 2000 ; Nath et al, 2013 ). Therefore, concern for the environment is seen as an important determinant of pro-environmental behavior, including conserving energy (Han & Cudjoe, 2020 ), recycling waste (Echegaray & Hansstein, 2017 ), leader sacrificial behavior (Jiang et al, 2019 ), purchasing green products (Hu et al 2010 ; Manaktola & Jauhari, 2007 ) and health (Cherif et al, 2021 ). In a research by Aggarwal et al ( 2020 ), a high IoT security concern dampens the favorable impact of high perceived device coolness on device buying intention.…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

Households’ food waste behavior prediction from a moral perspective: a case of China

Obuobi

Zhang

Adu-Gyamfi

et al. 2023

Environ Dev Sustain

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The increasing rate of food waste is becoming a threat to realizing Sustainable Development goal 2 by 2030. A significant portion of food is wasted along the entire food supply chain, resulting in adverse economic, ecological and social consequences. Inferring from the norm activation model (NAM), the study investigates the influence of benefits awareness, lack of concern and personal norm on households’ food waste reduction intention. Gathering research data via an online survey in Jiangsu province in China, a total sample of 408 responses were analyzed using structural equation model. It was found that the extended NAM model developed is more appropriate for assessing food waste reduction intention with a significant improved explanatory potential from 32.0 to 52.0%. Households’ awareness of consequences was established to have a positive effect on ascription of responsibility, and they both impact personal norm positively. Personal norm influences food waste reduction intention positively. Again, the awareness of the benefits for reducing food waste affects households’ intention to reduce food waste positively. Lack of concern for food waste negatively affects their personal norm and food waste reduction intentions. These findings furnish valuable insights for future campaigns to educate people and influence their moral norms toward the importance and involvement in achieving Sustainable Development Goals related to food waste.

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Section: Literature Review and Hypothesesmentioning

confidence: 99%

Households’ food waste behavior prediction from a moral perspective: a case of China

Obuobi

Zhang

Adu-Gyamfi

et al. 2023

Environ Dev Sustain

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“…Therefore, we used privacy concerns to measure realistic individual threats. The measurement was used in the study of the impact of electronic medical records on patients’ willingness to share personal health data ( Cherif et al, 2021 ). Scale items include “using this medical method would collect too much personal information about me,” “using this medical method would cause my personal data to be disclosed,” “sharing my personal information with other health care providers without my authorization,” and “using my personal data for other purposes without my authorization” ( Kim et al, 2008 ; Ponte et al, 2015 ).…”

Section: Methodsmentioning

confidence: 99%

“…The measurement of WTA used the methods in the study of understanding, explaining, and utilizing medical AI ( Cherif et al, 2021 ). In experiment 1, participants were asked “How likely would you choose to perform a surgical procedure with a highly accurate surgical robot/surgical specialist using intelligent medical equipment/surgical specialist?” and rated the question on a 5-point Likert-type scale (1 = not at all likely, 5 = very likely).…”

Section: Methodsmentioning

confidence: 99%

Did Artificial Intelligence Invade Humans? The Study on the Mechanism of Patients’ Willingness to Accept Artificial Intelligence Medical Care: From the Perspective of Intergroup Threat Theory

et al. 2022

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Artificial intelligence (AI) has become one of the core driving forces for the future development of the medical industry, but patients are skeptical about the use of AI in medical care. Based on the intergroup threat theory (ITT), this study verified that patients would regard AI as an external group, triggering the perceived threat of the external group, which results in avoidance behaviors in the treatment (experiment 1: n = 446) and diagnosis (experiment 2: n = 330) scenarios. The results show that despite AI can provide expert-level accuracy in medical care, patients are still more likely to rely on human doctors and experience more negative emotions as AI is more involved in medical care (experiment 1). Furthermore, patients pay more attention to threats at the individual level related to themselves, such as realistic threats related to privacy issues and symbolic threats related to the neglect of personal characteristics. In contrast, realistic threats and symbolic threats at the group level had less effect on patients in the medical scenario (experiment 2).

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“…An example of data‐requesting organizations with regard to personal health data are healthcare providers, which include physician offices, pharmacies, and hospitals (Hovis & Veillon, 2003). Scholarly attention paid to the adoption of electronic health records has emerged recently, emphasizing the critical role of trust in healthcare providers in promoting the intention to share personal health data (e.g., Cherif et al, 2021; Dinev et al, 2016). Given that personal health data is perceived as particularly sensitive, and the consequences of security breaches pose a high risk in providing such data, the differentiated examination of personal health data is important (Anderson & Agarwal, 2011; Dinev et al, 2016).…”

Section: Conceptual Background and Research Hypothesesmentioning

confidence: 99%

Trust in data‐requesting organizations—A quantitative analysis on cultural antecedents and individual‐level perceptions

Jenkner

Ravi²,

Gabel

et al. 2022

E J Info Sys Dev Countries

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Interactions in situations involving the disclosure of personal information require trust-based relationships. However, trust manifests in different ways, depending on the cultural and contextual environment. An in-depth understanding of how culture influences trust is therefore of considerable importance to managing situations that require the disclosure of sensitive health information, both from an academic and practical perspective. Drawing on the Model of National Culture and the Development of Trust, our study investigates culture as a determinant of trust in data-requesting organizations. We link the model's three cultural dimensions (relation to self, risk, and authority) with Hofstede's study cultural dimensions and the privacy calculus (Laufer and Wolfe's study). To test our hypotheses, we analyze survey data collected in Nigeria, in cooperation with a non-governmental organization working on data-driven healthcare solutions. Our results confirm an influence of culture on trust in data-requesting organizations which is, however, dependent on the cultural dimension. In addition, we show that perceived benefits increase trust significantly and provide a theoretical starting point for extending the Model of National Culture and the Development of Trust by the dimension relation to benefit.

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Do personal health concerns and trust in healthcare providers mitigate privacy concerns? Effects on patients’ intention to share personal health data on electronic health records

Cited by 48 publications

References 63 publications

Households’ food waste behavior prediction from a moral perspective: a case of China

Households’ food waste behavior prediction from a moral perspective: a case of China

Did Artificial Intelligence Invade Humans? The Study on the Mechanism of Patients’ Willingness to Accept Artificial Intelligence Medical Care: From the Perspective of Intergroup Threat Theory

Trust in data‐requesting organizations—A quantitative analysis on cultural antecedents and individual‐level perceptions

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