Understanding the patient privacy perspective on health information exchange: A systematic review

Assessment of nurses' respect for patient privacy by patients and nurses: A comparative study

AIMS

To determine whether nurses respect or violate patient privacy by comparing nurses' and patients' opinions.

BACKGROUND

Although nurses want to respect patient privacy, they can sometimes violate patient privacy or not pay enough attention.

METHOD

This comparative and cross-sectional study was conducted with 357 patients and 305 nurses in 12 public hospitals in Trabzon, Turkey. Data were collected with an information form and the Patient Privacy Scale. Reporting is consistent with the STROBE checklist for cross-sectional studies.

RESULTS

The total mean score of the patient privacy scale was 4.6 ± 0.39 for nurses and 4.5 ± 0.41 for patients, and no significant difference was found between their scores (U = 52999.0; p = .554). Further, the nurses (U = 14358.0; p = .000) and the patients (U = 13272.5; p = .006) in the public hospitals had statistically significantly higher overall privacy scores than those in the training and research hospitals. The overall privacy scale scores were higher and more statistically significant in the patients hospitalised in surgical clinics than those hospitalised in clinics for internal diseases (U = 8514.0; p = .005) and in single compared to married patients (U = 12364.5; p = .034).

CONCLUSION

Nurses respected patient privacy highly according to both nurses and patients, and there was no significant difference between their views. However, nurses working in training and research hospitals and internal diseases clinics need to improve their approaches to patient privacy.

RELEVANCE TO CLINICAL PRACTICE

The results of this study could be used to reduce patient privacy vulnerabilities in complex hospitals and clinics such as training and research hospitals and to improve institutional policies and activities regarding patient privacy. By comparing the results of patients and nurses, the study provided more consistent and accurate data about patient privacy.

Observation of Patients' Privacy by Physicians and Nurses and Its Relationship with Patient Satisfaction

The present study was conducted to determine the extent of observation of patients' privacy by physicians and nurses and its relationship with patient satisfaction. This descriptive correlational study was conducted on 600 patients selected by convenience sampling. Based on the patients' points of view, the level of observation of patients' privacy and its dimensions, especially the psychosocial dimension, were reported to be higher in nurses than in physicians. Pearson's correlation coefficient showed a direct and significant relationship between the observation of privacy by the nurses and physicians and different dimensions of patient satisfaction.

Teledentistry awareness among dental professionals in Saudi Arabia

Background

Teledentistry is believed to improve dentalcare provided to patients and time management efficiency. In addition, teledentistry can be a useful tool for peer education, consultations and ensures proper channeling for referrals.

Objective

This study aimed to explore Saudi Arabian dental professionals' perceptions of teledentistry's benefits in improving dental practice and patient care.

Methods

A descriptive cross-sectional study involving an electronic survey of a sample of Saudi Arabian dental professionals. A validated 26-item, 5-point Likert-scale questionnaire was used to assess perceptions of dental professionals in four domains: usefulness of teledentistry for patients, the usefulness of teledentistry for dental practice; the potential of teledentistry to improve practice; and existing concerns about the use of teledentistry. Statistical analyses involved descriptive statistics, bivariate analysis using SPSS software. Significant differences were considered at a p-value of 0.05.

Results

With an overall response rate of 28.6%, 286 dental professionals participated in the study. More than 70% of respondents agreed or strongly agreed that teledentistry would improve dental practice through enhancing communication with peers, guidance and referral of new patients. A substantial proportion of respondents (60–70%) expressed uncertainty with technical reliability, privacy and diagnostic accuracy. The participants' qualification was statistically significant with usefulness of teledentistry for patients (p = 0.027), while work experience in years was statistically significant with both usefulness of teledentistry for dental practice and patients (p = 0.046 and <0.0001 respectively).

Conclusion

Generally, the feedback gained by this study showed readiness of the dental professionals to be engaged in the teledentistry approach. Further investigation of the business model of teledentistry is needed to understand the readiness and challenges. Directed campaign to educate dentists and the public of the technology and it is potential is necessary.

Trends in Clinical Information Systems Research in 2019

Objective : To give an overview of recent research and to propose a selection of best papers published in 2019 in the field of Clinical Information Systems (CIS).

Method : Each year, we apply a systematic process to retrieve articles for the CIS section of the IMIA Yearbook of Medical Informatics. For six years now, we use the same query to find relevant publications in the CIS field. Each year we retrieve more than 2,000 papers. As CIS section editors, we categorize the retrieved articles in a multi-pass review to distill a pre-selection of 15 candidate best papers. Then, Yearbook editors and external reviewers assess the selected candidate best papers. Based on the review results, the IMIA Yearbook Editorial Committee chooses the best papers during the selection meeting. We used text mining, and term co-occurrence mapping techniques to get an overview of the content of the retrieved articles.

Results : We carried out the query in mid-January 2020 and retrieved a de-duplicated result set of 2,407 articles from 1,023 different journals. This year, we nominated 14 papers as candidate best papers, and three of them were finally selected as best papers in the CIS section. As in previous years, the content analysis of the articles revealed the broad spectrum of topics covered by CIS research.

Conclusions : We could observe ongoing trends, as seen in the last years. Patient benefit research is in the focus of many research activities, and trans-institutional aggregation of data remains a relevant field of work. Powerful machine-learning-based approaches, that use readily available data now often outperform human-based procedures. However, the ethical perspective of this development often comes too short in the considerations. We thus assume that ethical aspects will and should deliver much food for thought for future CIS research.

In Defence of informed consent for health record research - why arguments from 'easy rescue', 'no harm' and 'consent bias' fail

Background

Health data holds great potential for improved treatments. Big data research and machine learning models have been shown to hold great promise for improved diagnostics and treatment planning. The potential is tied, however, to the availability of personal health data. In recent years, it has been argued that data from health records should be available for health research, and that individuals have a duty to make the data available for such research. A central point of debate is whether such secondary use of health data requires informed consent.

Main body

In response to recent writings this paper argues that a requirement of informed consent for health record research must be upheld. It does so by exploring different contrasting notions of the duty of easy rescue and arguing that none of them entail a perfect duty to participate in health record research. In part because the costs of participation cannot be limited to 1) the threat of privacy breaches, but includes 2) the risk of reduced trust and 3) suboptimal treatment, 4) stigmatization and 5) medicalisation, 6) further stratification of solidarity and 7) increased inequality in access to treatment and medicine. And finally, it defends the requirement of informed consent by arguing that the mere possibility of consent bias provides a rather weak reason for making research participation mandatory, and that there are strong, independent reasons for making.

Conclusion

Arguments from the duty of easy rescue in combination with claims about little risk of harm and potential consent bias fail to establish not only a perfect duty to participate in health record research, but also that participation in such research should be mandatory. On the contrary, an analysis of these arguments indicates that the duty to participate in research is most adequately construed as an imperfect duty, and reveals a number of strong reasons for insisting that participation in health records research is based on informed consent.

Patient Privacy Violation Detection in Healthcare Critical Infrastructures: An Investigation Using Density-Based Benchmarking

Hospital critical infrastructures have a distinct threat vector, due to (i) a dependence on legacy software; (ii) the vast levels of interconnected medical devices; (iii) the use of multiple bespoke software and that (iv) electronic devices (e.g., laptops and PCs) are often shared by multiple users. In the UK, hospitals are currently upgrading towards the use of electronic patient record (EPR) systems. EPR systems and their data are replacing traditional paper records, providing access to patients’ test results and details of their overall care more efficiently. Paper records are no-longer stored at patients’ bedsides, but instead are accessible via electronic devices for the direct insertion of data. With over 83% of hospitals in the UK moving towards EPRs, access to this healthcare data needs to be monitored proactively for malicious activity. It is paramount that hospitals maintain patient trust and ensure that the information security principles of integrity, availability and confidentiality are upheld when deploying EPR systems. In this paper, an investigation methodology is presented towards the identification of anomalous behaviours within EPR datasets. Many security solutions focus on a perimeter-based approach; however, this approach alone is not enough to guarantee security, as can be seen from the many examples of breaches. Our proposed system can be complementary to existing security perimeter solutions. The system outlined in this research employs an internal-focused methodology for anomaly detection by using the Local Outlier Factor (LOF) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithms for benchmarking behaviour, for assisting healthcare data analysts. Out of 90,385 unique IDs, DBSCAN finds 102 anomalies, whereas 358 are detected using LOF.

Envisioning a Better U.S. Health Care System for All: Health Care Delivery and Payment System Reforms

The American College of Physicians (ACP) has long advocated for universal access to high-quality health care in the United States. Yet, it is essential that the U.S. health system goes beyond ensuring coverage, efficient delivery systems, and affordability. Fundamental restructuring of payment policies and delivery systems is required to achieve a health care system that puts patients' interests first and supports physicians and their care teams to deliver high-value, patient- and family-centered care. The ACP calls for reform of U.S. payment, delivery, and information technology systems to achieve this vision. The ACP's recommendations include increased investment in primary care; alignment of financial incentives to achieve better patient outcomes, lower costs, reduce inequities in health care, and facilitate team-based care; freeing patients and physicians of inefficient administrative and billing tasks and documentation requirements; and development of health information technologies that enhance the patient-physician relationship.

The Impacts of the Perceived Transparency of Privacy Policies and Trust in Providers for Building Trust in Health Information Exchange: Empirical Study

BACKGROUND

In the context of exchange technologies, such as health information exchange (HIE), existing technology acceptance theories should be expanded to consider not only the cognitive beliefs resulting in adoption behavior but also the affect provoked by the sharing nature of the technology.

OBJECTIVE

We aimed to study HIE adoption using a trust-centered model. Based on the Theory of Reasoned Action, the technology adoption literature, and the trust transfer mechanism, we theoretically explained and empirically tested the impacts of the perceived transparency of privacy policy and trust in health care providers on cognitive and emotional trust in an HIE. Moreover, we analyzed the effects of cognitive and emotional trust on the intention to opt in to the HIE and willingness to disclose health information.

METHODS

A Web-based survey was conducted using data from a sample of 493 individuals who were aware of the HIE through experiences with a (or multiple) provider(s) participating in an HIE network.

RESULTS

Structural Equation Modeling analysis results provided empirical support for the proposed model. Our findings indicated that when patients trust in health care providers, and they are aware of HIE security measures, HIE sharing procedures, and privacy terms, they feel more in control, more assured, and less at risk. Moreover, trust in providers has a significant moderating effect on building trust in HIE efforts (P<.05). Results also showed that patient trust in HIE may take the forms of opt-in intentions to HIE and patients' willingness to disclose health information that are exchanged through the HIE (P<.001).

CONCLUSIONS

The results of this research should be of interest to both academics and practitioners. The findings provide an in-depth dimension of the HIE privacy policy that should be addressed by the health care organizations to exchange personal health information in a secure and private manner. This study can contribute to trust transfer theory and enrich the literature on HIE efforts. Primary and secondary care providers can also identify how to leverage the benefit of patients' trust and trust transfer process to promote HIE initiatives nationwide.

Patient Privacy Perspectives on Health Information Exchange in a Mental Health Context: Qualitative Study

BACKGROUND

The privacy of patients with mental health conditions is prominent in health information exchange (HIE) discussions, given that their potentially sensitive personal health information (PHI) may be electronically shared for various health care purposes. Currently, the patient privacy perspective in the mental health context is not well understood because of the paucity of in-depth patient privacy research; however, the evidence suggests that patient privacy perspectives are more nuanced than what has been assumed in the academic and health care community.

OBJECTIVE

This study aimed to generate an understanding on how patients with mental health conditions feel about privacy in the context of HIE in Canada. This study also sought to identify the factors underpinning their privacy perspectives and explored how their perspectives influenced their attitudes toward HIE.

METHODS

Semistructured interviews were conducted with patients at a Canadian academic hospital for addictions and mental health. Guided by the Antecedent-Privacy Concern-Outcome macro-model, interview transcripts underwent deductive and inductive thematic analyses.

RESULTS

We interviewed 14 participants. Their privacy concerns varied, depending on the participant's privacy experiences and health care perceptions. Media reports of privacy breaches and hackers had little impact on participants' privacy concerns because of a fatalistic belief that privacy breaches are a reality in the digital age. Rather, direct observations and experiences with the mistreatment of PHI in health care settings caused concern. Decisions to trust others with PHI depended on past experiences with the individual (or institution) and health care needs. Participants had little knowledge of patient privacy rights and legislation but were willing to participate in HIE because of perceived individual and societal benefits.

CONCLUSIONS

This study introduces evidence that patients with mental health conditions would support HIE. Participants were pragmatic, supporting HIE because they wanted the best care possible. They also understood that their PHI was critical in supporting the single-payer Canadian health care system. Participant health care experiences informed their privacy perspectives, trust, and PHI sharing attitudes-all accentuating the importance of the patient experience in building trust in HIE. Their lack of knowledge about patient rights and PHI uses highlights the degree of trust they have in the health care system to protect their privacy. These findings suggest that the patient privacy discourse should extend beyond the oft-cited barrier of patient privacy concerns to include discussions about building trust, communicating the benefits of HIE, and improving patient experiences. Although our findings are in the Canadian context, this study highlights the importance of engaging patients in privacy policy discussions, regardless of jurisdiction, to ensure their nuanced perspectives are reflected in policy decisions on their PHI.