The Effectiveness of Health Care Information Technologies: Evaluation of Trust, Security Beliefs, and Privacy as Determinants of Health Care Outcomes

Privacy concerns among the users of a national patient portal: A cross-sectional population survey study

INTRODUCTION

Seeking and receiving care requires disclosure of personal information which is recorded as health data in electronic health records. Thereafter, restricting the flow of information is dependent on data protection, information security, ethical conduct, and law. Privacy concerns may arise as patients' options concerning privacy have been balanced to cater both the privacy of patients and the needs of healthcare, as well as secondary use of data.

METHODS

This study examined privacy concerns among the users of a national patient portal in a representative sample of Finnish adults aged 20 to 99 years old (n = 3,731). We used logistic regression analysis with population weights to seek answers to which factors are associated with privacy concerns. The cross-sectional survey data was collected in 2020.

RESULTS

Every third patient portal user had privacy concerns. Those who were 50 to 59 years old (p = 0.030) had privacy concerns more often than 20 to 49-year-olds. Those who had financial difficulties (p = 0.003) also had privacy concerns more often while those, who had good digital skills (p=<0.026), did not need guidance on telehealth service use (p=<0.001) and found telehealth service use to be beneficial (p = 0.008), had privacy concerns less often.

CONCLUSION

The usefulness of telehealth seems to play an important role in privacy concerns. Another important factor is the skills required to use telehealth services. We encourage providing guidance to those who lack the necessary skills for telehealth service use. We also encourage putting effort not only into data protection and information security measures of telehealth services, but also into providing transparent and comprehensible privacy information for the service users as privacy concerns are common.

Designing a doctor evaluation index system for an online medical platform based on the information system success model in China

Objective

In the context of "internet + medical health" and emphasis on evaluation mechanism for medical and health talents in China, we design an evaluation index system for doctors on online medical platforms by synthesizing two patterns of existing online medical platforms, which is the first step to enhance the capabilities of doctors on online medical platforms.

Methods

Based on the doctor evaluation model integrating information systems success model (ISS-DE model) and grounded theory, the evaluation indicators were obtained through expert interviews, offline medical institutions investigation, online platforms investigation, and literature research, and were assigned weights using the analytic hierarchy process (AHP) method. A working group composed of 23 experts was set up to review and determine the competency standards of doctors on the online medical platforms.

Results

A new indicator framework covering 3 dimensions of system quality, service quality and information quality was constructed in this study. The index system included 3 first-level indicators, 8 s-level indicators and 60 third-level indicators, and each indicator was given different weightage.

Conclusion

The complete index system constructed by the Delphi method in this study is suitable for China's online medical platforms, which will help to improve the quality of platforms and the ability of doctors, thus promoting the process of internet medical integration.

Factors affecting patient and public perceptions of the adoption of electronic health record sharing: A Hong Kong study

BACKGROUND AND OBJECTIVES

The disclosure of personal health information in electronic health records (eHR) highlights privacy and security concerns that are complicated by the digitization and interoperability of health records. Hong Kong's Electronic Health Record Sharing System (eHRSS), introduced in March 2016, enables eHR sharing among public and private health services upon the consent of patients. Based on a September 2021 survey, this study examined the specific context of Hong Kong, patient and public perceptions on the security and privacy of eHR sharing, correlation of trust with personal privacy and security concerns, and how perceptions affect health care-related decisions.

METHODS

Using a random sample of householders aged 45-70 years, the study conducted a questionnaire survey on respondents' awareness, perceived benefits, and obstacles to participating in the eHRSS, and the impact of their perceptions on health care-related decisions. A focus group discussion with 13 participants further explored views on the security of Hong Kong's eHRSS and their readiness to support the system.

RESULTS

The study analyzed data from 400 responses. The findings showed a low degree of awareness of the eHRSS. Privacy and security concerns were impeding factors in the sharing of information; half of the respondents reported being concerned over their personal health information being part of the eHRSS. The majority (86.9%) expressed conditional support for the sharing of information. Despite their concerns on security and privacy, 66.5% and 77.9%, respectively, would not withhold information nor postpone the seeking of medical care based on those concerns. Participants in the focus group expressed concerns regarding eHRSS registration, data leaks, information accuracy, and the potential prejudice that may result in discrimination and inequality in health care provision.

CONCLUSIONS

Satisfaction with the health care services played a role in the trust reposed in the Hospital Authority and health care providers and institutions. Security and privacy were decisive factors in respodents' refusal to seek care from physicians who had violated their privacy. Respondents expressed greater interest in sharing their information if measures were in place for anonymization and punishing data misuse. Ensuring rights of control toward information sharing would inspire greater confidence among patients.

Security, confidentiality, privacy and patient safety in the hospital information systems from the users' perspective: A cross-sectional study

INTRODUCTION

Patient safety maintenance and improvement is an expected core function of Hospital Information Systems (HISs). Patient safety can be affected by the privacy, confidentiality, and security of patient information. This study aimed to evaluate the security, confidentiality, privacy, and patient safety in the HISs from the users' perspective.

METHODS

A descriptive, analytical, cross-sectional study was conducted in five teaching hospitals affiliated with Zahedan University of Medical Sciences in 2022. The research population consisted of users of HISs in the nursing, medical records, radiology, laboratory, and pharmacy departments. The sample included 397 participants. The data were collected using a researcher-made questionnaire and analyzed with the SPSS software using descriptive (mean, standard deviation, frequency, and percentage) and analytical (Pearson, Spearman, and chi-square tests) statistics.

RESULTS

The mean score of patient information privacy, confidentiality, security, and patient safety was 3.19 ± 0.585, 2.48 ± 1.143, 2.53 ± 0.940, and 2.60 ± 0.959, respectively. Patient safety had a strong positive correlation with security and confidentiality, and a moderate positive correlation with patient information privacy (P < 0.05).

CONCLUSION

The given HISs were at a relatively desirable level in terms of information privacy, security, and patient safety and at an undesirable level concerning confidentiality from the users' perspective. Developing guidelines and regulations regarding the privacy, confidentiality, security, and patient safety of HISs, supervising their implementation by responsible agencies and departments, and educating and training healthcare professionals about these concepts are essential to improve the existing situation in HISs of the evaluated hospitals.

Healthcare professionals' knowledge, attitude and its associated factors toward electronic personal health record system in a resource-limited setting: A cross-sectional study

Introduction

Electronic personal health record (e-PHR) system enables individuals to access their health information and manage it themselves. It helps patient engagement management of health information that is accessed and shared with their healthcare providers using the platform. This improves individual healthcare through the exchange of health information between patients and healthcare providers. However, less is known about e-PHRs among healthcare professionals.

Objective

Therefore, this study aimed to assess Health professionals' Knowledge and attitude and its associated factors toward e-PHR at the teaching hospital in northwest Ethiopia.

Methods

An institution-based cross-sectional study design was used to determine healthcare professionals' knowledge and attitude and their associated factors toward e-PHR systems in teaching hospitals of Amhara regional state, Ethiopia, from 20 July to 20 August 2022. Pretested structured self-administered questionnaires were used to collect the data. Descriptive statistic was computed based on sociodemographic and other variables presented in the form of table graphs and texts. Bivariable and multivariable logistic analyses were performed with an adjusted odds ratio (AOR) and 95% CI to identify predictor variables.

Result

Of the total study participants, 57% were males and nearly half of the respondents had a bachelor's degree. Out of 402 participants, ~65.7% [61–70%] and 55.5% [50–60%] had good knowledge and favorable attitude toward e-PHR systems, respectively. Having a social media account 4.3 [AOR = 4.3, 95% CI (2.3–7.9)], having a smartphone 4.4 [AOR = 4.4, 95% CI (2.2–8.6)], digital literacy 8.8 [(AOR = 8.8, 95% CI (4.6–15.9)], being male 2.7 [AOR = 2.7, 95% CI (1.4–5.0)], and perceived usefulness 4.5 [(AOR = 4.5, 95% CI (2.5–8.5)] were positively associated with knowledge toward e-PHR systems. Similarly, having a personal computer 1.9 [AOR = 1.9, 95% CI (1.1–3.5)], computer training 3.9 [AOR = 3.9, 95% CI (1.8–8.3)], computer skill 19.8 [AOR = 19.8, 95% CI (10.7–36.9)], and Internet access 6.0 [AOR = 6.0, 95% CI (3.0–12.0)] were predictors for attitude toward e-PHR systems.

Conclusion

The findings from the study showed that healthcare professionals have good knowledge and a favorable attitude toward e-PHRs. Providing comprehensive basic computer training to improve healthcare professionals' expectation on the usefulness of e-PHR systems has a paramount contribution to the advancement of their knowledge and attitude toward successfully implementing e-PHRs.

Research on the influence mechanism of privacy invasion experiences with privacy protection intentions in social media contexts: Regulatory focus as the moderator

Introduction

In recent years, there have been numerous online privacy violation incidents caused by the leakage of personal information of social media users, yet there seems to be a tendency for users to burn out when it comes to privacy protection, which leads to more privacy invasions and forms a vicious circle. Few studies have examined the impact of social media users' privacy invasion experiences on their privacy protection intention. Protection motivation theory has often been applied to privacy protection research. However, it has been suggested that the theory could be improved by introducing individual emotional factors, and empirical research in this area is lacking.

Methods

To fill these gaps, the current study constructs a moderated chain mediation model based on protection motivation theory and regulatory focus theory, and introduces privacy fatigue as an emotional variable.

Results and discussion

An analysis of a sample of 4800 from China finds that: (1) Social media users' previous privacy invasion experiences can increase their privacy protection intention. This process is mediated by response costs and privacy fatigue. (2) Privacy fatigue plays a masking effect, i.e., increased privacy invasion experiences and response costs will raise individuals' privacy fatigue, and the feeling of privacy fatigue significantly reduces individuals' willingness to protect their privacy. (3) Promotion-focus individuals are less likely to experience privacy fatigue than those with prevention-focus. In summary, this trend of "lie flat" on social media users' privacy protection is caused by the key factor of "privacy fatigue", and the psychological trait of regulatory focus can be used to interfere with the development of privacy fatigue. This study extends the scope of research on privacy protection and regulatory focus theory, refines the theory of protection motivation, and expands the empirical study of privacy fatigue; the findings also inform the practical governance of social network privacy.

The Role of Access Type and Age Group in the Breadth of Use of Patient Portals: Observational Study

BACKGROUND

Health care delivery and patient satisfaction are improved when patients engage with their medical information through patient portals. Despite their wide availability and multiple functionalities, patient portals and their functionalities are still underused.

OBJECTIVE

We seek to understand factors that lead to patient engagement through multiple portal functionalities. We provide recommendations that could lead to higher patients' usage of their portals.

METHODS

Using data from the Health Information National Trends Survey 5, Cycle 3 (N=2093), we performed descriptive statistics and used a chi-square test to analyze the association between the demographic variables and the use of mobile health apps for accessing medical records. We further fitted a generalized linear model to examine the association between access type and the use of portal functionalities. We further examined the moderation effects of age groups on the impact of access type on portal usage.

RESULTS

Our results show that accessing personal health records using a mobile health app is positively associated with greater patient usage of access capabilities (β=.52; P<.001), patient-provider interaction capabilities (β=.24, P=.006), and patient-personal health information interaction capabilities (β=.23, P=.009). Patients are more likely to interact with their records and their providers when accessing their electronic medical records using a mobile health app. The impacts of mobile health app usage fade with age for tasks consisting of viewing, downloading, and transmitting medical results to a third party (β=-.43, P=.005), but not for those involving patient-provider interaction (β=.05, P=.76) or patient-personal health information interaction (β=-.15, P=.19).

CONCLUSIONS

These findings provide insights on how to increase engagement with diverse portal functionalities for different age groups and thus improve health care delivery and patient satisfaction.

Transforming Health Data to Actionable Information: Recent Progress and Future Opportunities in Health Information Exchange

OBJECTIVES

Provide a systematic review of literature pertaining to health information exchange (HIE) since 2018. Summarize HIE-associated literature for most frequently occurring topics, as well as within the context of the COVID-19 pandemic and health equity. Finally, provide recommendations for how HIE can advance the vision of a digital healthcare ecosystem.

METHODS

A computer program was developed to mediate a literature search of primary literature indexed in MEDLINE that was: (1) indexed with "Health Information Exchange" MeSH descriptor as a major topic; and (2) published between January 2018 and December 2021. Frequency of MeSH descriptors was then used to identify and to rank topics associated with the retrieved literature. COVID-19 literature was identified using the general COVID-19 PubMed Clinical Query filter. Health equity literature was identified using additional MeSH descriptor-based searches. The retrieved literature was then reviewed and summarized.

RESULTS

A total of 256 articles were retrieved and reviewed for this survey. The major thematic areas summarized were: (1) Information Dissemination; (2) Delivery of Health Care; (3) Hospitals; (4) Hospital Emergency Service; (5) COVID-19; (6) Health Disparities; and (7) Computer Security and Confidentiality. A common theme across all areas examined for this survey was the maturity of HIE to support data-driven healthcare delivery. Recommendations were developed based on opportunities identified across the reviewed literature.

CONCLUSIONS

HIE is an essential advance in next generation healthcare delivery. The review of the recent literature (2018-2021) indicates that successful HIE improves healthcare delivery, often resulting in improved health outcomes. There remain major opportunities for expanded use of HIE, including the active engagement of clinical and patient stakeholders. The maturity of HIE reflects the maturity of the biomedical informatics and health data science fields.

Features of the organization of coloproctological care to the population taking into account regional indicators of incidence

Rationale. The article provides an analysis of the features of the organization of coloproctological care for the population of the Perm Territory, taking into account regional morbidity rates, which made it possible to identify a number of significant shortcomings. There is no connection between the volume of specialized coloproctological care provided and the real need of the population. It was revealed that 32.0 % of coloproctological patients are being treated by doctors of other specialties. In 2018, 47,172 cases of coloproctological diseases were registered, and only 30,900 specialized outpatient appointments were made in the region (11.7 appointments per 1,000 population). More than half of them (57.4 %) were held in Perm.

The aim of the study. Determination of the features of the organization of coloproctological care for the population of the Perm Territory, considering the incidence rates.

Materials and methods. An analysis was made of the distribution among the adult population of the Perm Territory of pathologies related to the profile of coloproctology according to official statistical reports and the report of the chief specialist of the region for 2018.

Results. In 2018, 3.9 sigmoidoscopies per 1,000 population were performed and 1.7 fibrocolonoscopies per 1,000 population, which led to an insufficient level of diagnosis of coloproctological pathologies. At the same time, identified for the period 2004–2018, a significant increase in the incidence of colorectal cancer (by 48.1 %), with an average annual growth rate over 15 years of 7.8 %, which is 3 times higher than the national figure, requires a change in approaches to the organization of coloproctological care, incl. for early diagnosis.

Conclusion. Thus, in order to improve the quality of early diagnosis of coloproctological, and especially onco-coloproctological diseases, it is required to optimize the outpatient specialized coloproctological care in the Perm region. It is proposed to reorganize the service with the aim of organizing a primary link on the basis of an outpatient coloproctology center with a daily stay hospital, separate or at the coloproctology department of the City Clinical Hospital.

Exploring the User Interaction Network in an Anxiety Disorder Online Community: An Exponential Random Graph Model with Topical and Emotional Effects

The increasing number of people with anxiety disorders presents challenges when gathering health information. Users in anxiety disorder online communities (ADOCs) share and obtain a variety of health information, such as treatment experience, drug efficacy, and emotional support. This interaction alleviates the difficulties involved in obtaining health information. Users engage in community interaction via posts, comments, and replies, which promotes the development of an online community as well as the wellbeing of community users, and research concerning the formation mechanism of the user interaction network in ADOCs could be beneficial to users. Taking the Anxiety Disorder Post Bar as the research object, this study constructed an ADOC user interaction network based on users' posts, comments, and personal information data. With the help of exponential random graph models (ERGMs), we studied the effects of the network structure, user attributes, topics, and emotional intensity on user interaction networks. We found that there was significant reciprocity in the user interaction network in ADOCs. In terms of user attributes, gender homogeneity had no impact on the formation of the user interaction network. Experienced users in the community had obvious advantages, and experienced users could obtain replies more easily from other members. In terms of topics, pathology popularization showed obvious homogeneity, and symptoms of generalized anxiety disorder showed obvious heterogeneity. In terms of emotional intensity, users with polarized emotions were more likely to receive replies from users with positive emotions. The probability of interaction between two users with negative emotions was small, and users with opposite emotional polarity tended to interact, especially when the interaction was initiated by users with positive emotions.

Behavioral Health Professionals' Perceptions on Patient-Controlled Granular Information Sharing (Part 1): Focus Group Study

BACKGROUND

Patient-controlled granular information sharing (PC-GIS) allows a patient to select specific health information "granules," such as diagnoses and medications; choose with whom the information is shared; and decide how the information can be used. Previous studies suggest that health professionals have mixed or concerned opinions about the process and impact of PC-GIS for care and research. Further understanding of behavioral health professionals' views on PC-GIS are needed for successful implementation and use of this technology.

OBJECTIVE

The aim of this study was to evaluate changes in health professionals' opinions on PC-GIS before and after a demonstrative case study.

METHODS

Four focus groups were conducted at two integrated health care facilities: one serious mental illness facility and one general behavioral health facility. A total of 28 participants were given access to outcomes of a previous study where patients had control over medical record sharing. Participants were surveyed before and after focus groups on their views about PC-GIS. Thematic analysis of focus group output was paired with descriptive statistics and exploratory factor analysis of surveys.

RESULTS

Behavioral health professionals showed a significant opinion shift toward concern after the focus group intervention, specifically on the topics of patient understanding (P=.001), authorized electronic health record access (P=.03), patient-professional relationship (P=.006), patient control acceptance (P<.001), and patient rights (P=.02). Qualitative methodology supported these results. The themes of professional considerations (2234/4025, 55.5% of codes) and necessity of health information (260/766, 33.9%) identified key aspects of PC-GIS concerns.

CONCLUSIONS

Behavioral health professionals agreed that a trusting patient-professional relationship is integral to the optimal implementation of PC-GIS, but were concerned about the potential negative impacts of PC-GIS on patient safety and quality of care.

Role of Individual Motivations and Privacy Concerns in the Adoption of German Electronic Patient Record Apps-A Mixed-Methods Study

Germany's electronic patient record ("ePA") launched in 2021 with several attempts and years of delay. The development of such a large-scale project is a complex task, and so is its adoption. Individual attitudes towards an electronic health record are crucial, as individuals can reject opting-in to it and making any national efforts unachievable. Although the integration of an electronic health record serves potential benefits, it also constitutes risks for an individual's privacy. With a mixed-methods study design, this work provides evidence that different types of motivations and contextual privacy antecedents affect usage intentions towards the ePA. Most significantly, individual motivations stemming from feelings of volition or external mandates positively affect ePA adoption, although internal incentives are more powerful.

Disambiguating Between Privacy and Security in the Context of Health Care: New Insights on the Determinants of Health Technologies Use

Health care providers are increasingly providing technologies for patient care; however, patients are still loath to use such technologies consistently. This research examines the impediments to patients' use of e-health portals. Our analysis of 836 data records showed that while privacy and security concerns have a negative impact on attitudes toward e-health portals, increasing the awareness of privacy and security controls alleviates such concerns. Our findings also suggest that individuals worry more about who possesses the right to access their health data (i.e., who, what, when, and why) than the mechanisms used to safeguard data from unauthorized access. We found that perceived benefits and support (i.e., emotional and technical support) positively influenced the determinants of use intentions. The implications of these findings for health care providers and policy makers are discussed.

Augmented, Mixed, and Virtual Reality-Based Head-Mounted Devices for Medical Education: Systematic Review

Background

Augmented reality (AR), mixed reality (MR), and virtual reality (VR), realized as head-mounted devices (HMDs), may open up new ways of teaching medical content for low-resource settings. The advantages are that HMDs enable repeated practice without adverse effects on the patient in various medical disciplines; may introduce new ways to learn complex medical content; and may alleviate financial, ethical, and supervisory constraints on the use of traditional medical learning materials, like cadavers and other skills lab equipment.

Objective

We examine the effectiveness of AR, MR, and VR HMDs for medical education, whereby we aim to incorporate a global health perspective comprising low- and middle-income countries (LMICs).

Methods

We conducted a systematic review according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) and Cochrane guidelines. Seven medical databases (PubMed, Cochrane Library, Web of Science, Science Direct, PsycINFO, Education Resources Information Centre, and Google Scholar) were searched for peer-reviewed publications from January 1, 2014, to May 31, 2019. An extensive search was carried out to examine relevant literature guided by three concepts of extended reality (XR), which comprises the concepts of AR, MR, and VR, and the concepts of medicine and education. It included health professionals who took part in an HMD intervention that was compared to another teaching or learning method and evaluated with regard to its effectiveness. Quality and risk of bias were assessed with the Medical Education Research Study Quality Instrument, the Newcastle-Ottawa Scale-Education, and A Cochrane Risk of Bias Assessment Tool for Non-Randomized Studies of Interventions. We extracted relevant data and aggregated the data according to the main outcomes of this review (knowledge, skills, and XR HMD).

Results

A total of 27 studies comprising 956 study participants were included. The participants included all types of health care professionals, especially medical students (n=573, 59.9%) and residents (n=289, 30.2%). AR and VR implemented with HMDs were most often used for training in the fields of surgery (n=13, 48%) and anatomy (n=4, 15%). A range of study designs were used, and quantitative methods were clearly dominant (n=21, 78%). Training with AR- and VR-based HMDs was perceived as salient, motivating, and engaging. In the majority of studies (n=17, 63%), HMD-based interventions were found to be effective. A small number of included studies (n=4, 15%) indicated that HMDs were effective for certain aspects of medical skills and knowledge learning and training, while other studies suggested that HMDs were only viable as an additional teaching tool (n=4, 15%). Only 2 (7%) studies found no effectiveness in the use of HMDs.

Conclusions

The majority of included studies suggested that XR-based HMDs have beneficial effects for medical education, whereby only a minority of studies were from LMICs. Nevertheless, as most studies showed at least noninferior results when compared to conventional teaching and training, the results of this review suggest applicability and potential effectiveness in LMICs. Overall, users demonstrated greater enthusiasm and enjoyment in learning with XR-based HMDs. It has to be noted that many HMD-based interventions were small-scale and conducted as short-term pilots. To generate relevant evidence in the future, it is key to rigorously evaluate XR-based HMDs with AR and VR implementations, particularly in LMICs, to better understand the strengths and shortcomings of HMDs for medical education.

Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data

Background

The use of wearables facilitates data collection at a previously unobtainable scale, enabling the construction of complex predictive models with the potential to improve health. However, the highly personal nature of these data requires strong privacy protection against data breaches and the use of data in a way that users do not intend. One method to protect user privacy while taking advantage of sharing data across users is federated learning, a technique that allows a machine learning model to be trained using data from all users while only storing a user’s data on that user’s device. By keeping data on users’ devices, federated learning protects users’ private data from data leaks and breaches on the researcher’s central server and provides users with more control over how and when their data are used. However, there are few rigorous studies on the effectiveness of federated learning in the mobile health (mHealth) domain.

Objective

We review federated learning and assess whether it can be useful in the mHealth field, especially for addressing common mHealth challenges such as privacy concerns and user heterogeneity. The aims of this study are to describe federated learning in an mHealth context, apply a simulation of federated learning to an mHealth data set, and compare the performance of federated learning with the performance of other predictive models.

Methods

We applied a simulation of federated learning to predict the affective state of 15 subjects using physiological and motion data collected from a chest-worn device for approximately 36 minutes. We compared the results from this federated model with those from a centralized or server model and with the results from training individual models for each subject.

Results

In a 3-class classification problem using physiological and motion data to predict whether the subject was undertaking a neutral, amusing, or stressful task, the federated model achieved 92.8% accuracy on average, the server model achieved 93.2% accuracy on average, and the individual model achieved 90.2% accuracy on average.

Conclusions

Our findings support the potential for using federated learning in mHealth. The results showed that the federated model performed better than a model trained separately on each individual and nearly as well as the server model. As federated learning offers more privacy than a server model, it may be a valuable option for designing sensitive data collection methods.

Ethical issues related to eHealth: An integrative review

BACKGROUND

Identifying and safeguarding ethics in eHealth services from the service users' perspective in social care and healthcare is important. The use of eHealth services should not prejudice the quality of services or the social interaction required in care. There is a lack of studies about the ethics of eHealth services from the service users' perspective.

AIM

The aim of this study is to identify and analyse ethical issues related to eHealth in social care and healthcare from the service users' perspective.

RESEARCH DESIGN

An integrative literature review.

ETHICAL CONSIDERATIONS

The review followed good scientific conduct.

RESEARCH CONTEXT AND DATA SOURCES

A systematic literature search was performed using CINAHL, Scopus, PubMed/MEDLINE, Web of Science, Cochrane Library and Academic Search Premier to find relevant empirical studies published in English from their earliest up to 30 November 2018. In addition, reference lists from the identified research papers were searched. A quality appraisal of each paper included in the review was conducted before thematic analysis.

RESULTS

In total, 26 studies were included in the review, and from these four ethical themes were identified: (1) privacy in eHealth, (2) beneficence and nonmaleficence in eHealth, (3) justice in eHealth and (4) trust in eHealth. The ethical issues within these themes were related to information sharing; ownership; access to information and data protection; informed consent; defence of rights; and equity, equality and proportionality of response.

CONCLUSION

eHealth inequality occurs in social care and healthcare. eHealth service designers and social care and healthcare professionals need to act to maintain and improve user access and data accuracy and provide different levels of security in eHealth services, relative to the information stored. There is a need for further research about ethical issues of eHealth from the user's perspective, including the customer-oriented availability and usability of eHealth services which avoid discrimination.

The informational privacy of patients in prehospital emergency care-Integrative literature review

AIMS AND OBJECTIVES

To explore the informational privacy of patients in prehospital emergency care based on the existing literature.

BACKGROUND

Informational privacy, a central value in health care, is strongly connected to patients' safety and quality of care. However, its realisation faces challenges in the unique context of prehospital emergency care.

DESIGN

Integrative literature review.

METHODS

Systematic searches of the CINAHL, MEDLINE and Cochrane library databases (n = 1588) and a manual search of the reference lists of the included articles (n = 0) were conducted in August 2019. In the article selection, specified inclusion and exclusion criteria were used. Two Joanna Briggs Institute quality appraisal tools were used. Ultimately, 11 studies were included. Analysis was conducted by using content analysis. Overall, process of the review was guided by PRISMA checklist.

RESULTS

The number of primary research studies related to informational privacy in prehospital emergency care is limited and mainly focused on privacy and confidentiality. The informational privacy was described from three aspects (a) information control by patients, (b) information protection by healthcare professional and (c) concepts related to informational privacy. The realisation of patients' informational privacy varied. Factors related to the realisation were related to the paramedics, the prehospital emergency care work and the patients.

CONCLUSION

More research specifically focused on informational privacy in prehospital emergency care is needed. Paramedics' understanding of informational privacy and its protection is essential to enhance the realisation of patients' informational privacy. Therefore, a response is required to their need for more education concerning informational privacy.

RELEVANCE TO CLINICAL PRACTICE

Paramedics' attention should be drawn to the identified factors related to the realisation of informational privacy and its use in clinical practice in order to continue to provide high-quality prehospital emergency care.

Drivers of Mobile Health Acceptance and Use From the Patient Perspective: Survey Study and Quantitative Model Development

Background

Mobile health (mHealth) has potential to play a significant role in realizing a reversal of the current paradigm in health care toward a more patient-centric and more collaborative system to improve the outcomes obtained along with the quality and sustainability of health care systems.

Objective

The aim of this study was to explore and understand individual mHealth acceptance drivers between two groups of users: those with chronic health conditions and those without.

Methods

The extended unified theory of acceptance and usage of technology (UTAUT2) was enhanced with a new health-related framework: behavior intention to recommend and new mediation effects. We applied partial least squares (PLS) causal modeling to test the research model.

Results

We obtained 322 valid responses through an online questionnaire. The drivers of behavior intention with statistical significance were performance expectancy (β=.29, P<.001), habit (β=.39, P<.001), and personal empowerment (β=.18, P=.01). The precursors of use behavior were habit (β= .47, P<.001) and personal empowerment (β=.17, P=.01). Behavior intention to recommend was significantly influenced by behavior intention (β=.58, P<.001) and personal empowerment (β=.26, P<.001). The model explained 66% of the total variance in behavior intention, 54% of the variance in use behavior, and 70% of the variance in behavior intention to recommend.

Conclusions

Our study demonstrates a significant role of personal empowerment, as a second-order construct, in the mHealth acceptance context. The presence of a chronic health condition predicates an impact on acceptance of this technology.

Modified Immune Evolutionary Algorithm for Medical Data Clustering and Feature Extraction under Cloud Computing Environment

Medical data have the characteristics of particularity and complexity. Big data clustering plays a significant role in the area of medicine. The traditional clustering algorithms are easily falling into local extreme value. It will generate clustering deviation, and the clustering effect is poor. Therefore, we propose a new medical big data clustering algorithm based on the modified immune evolutionary method under cloud computing environment to overcome the above disadvantages in this paper. Firstly, we analyze the big data structure model under cloud computing environment. Secondly, we give the detailed modified immune evolutionary method to cluster medical data including encoding, constructing fitness function, and selecting genetic operators. Finally, the experiments show that this new approach can improve the accuracy of data classification, reduce the error rate, and improve the performance of data mining and feature extraction for medical data clustering.

Trust and Privacy: How Patient Trust in Providers is Related to Privacy Behaviors and Attitudes

Healthcare today requires extensive sharing and access to patient health information. The use of health information technology (health IT) exacerbates patients' privacy concerns because it expands the availability of patient data to numerous members of the healthcare team. Patient concerns about the privacy of their data may be associated with nondisclosure of their information to providers. Patient trust in physicians, a multi-dimensional perception influenced by patient, physician, and situational factors, can facilitate disclosure and use of health IT. Previous work has done little to explore how specific dimensions of trust in physicians are related to patient information-sharing concerns or behavior. Using data from a nationally-representative survey, we show that patients with higher trust in provider confidentiality have significantly lower likelihood of reporting having ever withheld important health information and lower likelihood of thinking it is important to find out who has looked at their medical records. Patient trust in physician competence is related to higher likelihood of thinking it is important for health care providers to share information electronically This work sheds light on the importance of considering multiple dimensions of trust for patient behavior and attitudes related to their information sharing with health care providers.

Willingness to Participate in Health Information Networks with Diverse Data Use: Evaluating Public Perspectives

INTRODUCTION

Health information generated by health care encounters, research enterprises, and public health is increasingly interoperable and shareable across uses and users. This paper examines the US public's willingness to be a part of multi-user health information networks and identifies factors associated with that willingness.

METHODS

Using a probability-based sample (n = 890), we examined the univariable and multivariable relationships between willingness to participate in health information networks and demographic factors, trust, altruism, beliefs about the public's ethical obligation to participate in research, privacy, medical deception, and policy and governance using linear regression modeling.

RESULTS

Willingness to be a part of a multi-user network that includes health care providers, mental health, social services, research, or quality improvement is low (26 percent-7.4 percent, depending on the user). Using stepwise regression, we identified a model that explained 42.6 percent of the variability in willingness to participate and included nine statistically significant factors associated with the outcome: Trust in the health system, confidence in policy, the belief that people have an obligation to participate in research, the belief that health researchers are accountable for conducting ethical research, the desire to give permission, education, concerns about insurance, privacy, and preference for notification.

DISCUSSION

Our results suggest willingness to be a part of multi-user data networks is low, but that attention to governance may increase willingness. Building trust to enable acceptance of multi-use data networks will require a commitment to aligning data access practices with the expectations of the people whose data is being used.

European Hospitals' Transition Toward Fully Electronic-Based Systems: Do Information Technology Security and Privacy Practices Follow?

BACKGROUND

Traditionally, health information has been mainly kept in paper-based records. This has deeply changed throughout approximately the last three decades with the widespread use of multiple health information technologies. The digitization of health care systems contributes to improving health care delivery. However, it also exposes health records to security and privacy breaches inherently related to information technology (IT). Thus, health care organizations willing to leverage IT for improved health care delivery need to put in place IT security and privacy measures consistent with their use of IT resources.

OBJECTIVE

In this study, 2 main objectives are pursued: (1) to assess the state of the implementation of IT security and privacy practices in European hospitals and (2) to assess to what extent these hospitals enhance their IT security and privacy practices as they move from paper-based systems toward fully electronic-based systems.

METHODS

Drawing on data from the European Commission electronic health survey, we performed a cluster analysis based on IT security and privacy practices implemented in 1723 European hospitals. We also developed an IT security index, a compounded measure of implemented IT security and privacy practices, and compared it with the hospitals' level in their transition from a paper-based system toward a fully electronic-based system.

RESULTS

A total of 3 clearly distinct patterns of health IT-related security and privacy practices were unveiled. These patterns, as well as the IT security index, indicate that most of the sampled hospitals (70.2%) failed to implement basic security and privacy measures consistent with their digitization level.

CONCLUSIONS

Even though, on average, the most electronically advanced hospitals display a higher IT security index than hospitals where the paper system still dominates, surprisingly, it appears that the enhancement of IT security and privacy practices as the health information digitization advances in European hospitals is neither systematic nor strong enough regarding the IT-security requirements. This study will contribute to raising awareness among hospitals' managers as to the importance of enhancing their IT security and privacy measures so that they can keep up with the security threats inherently related to the digitization of health care organizations.

Enhancing Privacy Controls for Patients via a Selective Authentic Electronic Health Record Exchange Service: Qualitative Study of Perspectives by Medical Professionals and Patients

BACKGROUND

Patients' privacy is regarded as essential for the patient-doctor relationship. One example of a privacy-enhancing technology for user-controlled data minimization on content level is a redactable signature. It enables users to redact personal information from signed documents while preserving the validity of the signature, and thus the authenticity of the document. In this study, we present end users' evaluations of a Cloud-based selective authentic electronic health record (EHR) exchange service (SAE-service) in an electronic health use case. In the use case scenario, patients were given control to redact specified information fields in their EHR, which were signed by their doctors with a redactable signature and transferred to them into a Cloud platform. They can then selectively disclose the remaining information in the EHR, which still bears the valid digital signature, to third parties of their choice.

OBJECTIVE

This study aimed to explore the perceptions, attitudes, and mental models concerning the SAE-service of 2 user roles: signers (medical professionals) and redactors (patients with different technical knowledge) in Germany and Sweden. Another objective was to elicit usability requirements for this service based on the analysis of our investigation.

METHODS

We chose empirical qualitative methods to address our research objective. Designs of mock-ups for the service were used as part of our user-centered design approach in our studies with test participants from Germany and Sweden. A total of 13 individual walk-throughs or interviews were conducted with medical staff to investigate the EHR signers' perspectives. Moreover, 5 group walk-throughs in focus groups sessions with (N=32) prospective patients with different technical knowledge to investigate redactor's perspective of EHR data redaction control were used.

RESULTS

We found that our study participants had correct mental models with regard to the redaction process. Users with some technical models lacked trust in the validity of the doctor's signature on the redacted documents. Main results to be considered are the requirements concerning the accountability of the patients' redactions and the design of redaction templates for guidance and control.

CONCLUSIONS

For the SAE-service to be means for enhancing patient control and privacy, the diverse usability and trust factors of different user groups should be considered.

Design of a Hospice Referral System for Terminally Ill Cancer Patients Using a Standards-Based Health Information Exchange System

Objectives

The demand for hospice has been increasing among patients with cancer. This study examined the current hospice referral scenario for terminally ill cancer patients and created a data form to collect hospice information and a modified health information exchange (HIE) form for a more efficient referral system for terminally ill cancer patients.

Methods

Surveys were conducted asking detailed information such as medical instruments and patient admission policies of hospices, and interviews were held to examine the current referral flow and any additional requirements. A task force team was organized to analyze the results of the interviews and surveys.

Results

Six hospices completed the survey, and 3 physicians, 2 nurses, and 2 hospital staff from a tertiary hospital were interviewed. Seven categories were defined as essential for establishing hospice data. Ten categories and 40 data items were newly suggested for the existing HIE document form. An implementation guide for the Consolidated Clinical Document Architecture developed by Health Level 7 (HL7 CCDA) was also proposed. It is an international standard for interoperability that provides a framework for the exchange, integration, sharing, and retrieval of electronic health information. Based on these changes, a hospice referral scenario for terminally ill cancer patients was designed.

Conclusions

Our findings show potential improvements that can be made to the current hospice referral system for terminally ill cancer patients. To make the referral system useful in practice, governmental efforts and investments are needed.