Balancing Between Privacy and Patient Needs for Health Information in the Age of Participatory Health and Social Media: A Scoping Review

Predicting the effect of ethical climate and spiritual well-being of nurses on respecting the patients' privacy in intensive care units: an analytical study

BACKGROUND

Ethical climate, observance of patients' privacy and nurses' spiritual well-being are of great importance in intensive care units (ICU). In addition, it is essential to identify spiritual and ethical predictors of patients' privacy. Thus, this study aimed to determine the predictive effects of ethical climate and nurses' spiritual well-being on patients' privacy in ICU.

METHODS

In this analytical cross-sectional study, 250 out of 500 ICU nurses were recruited using proportionate allocation stratified sampling. Data were collected using a demographic characteristics form, Patient Privacy Scale, Hospital Ethical Climate Survey, and Spiritual Well-Being Scale. The data were analyzed using Pearson correlation coefficient and hierarchical linear regression analysis.

RESULTS

The results showed that patients' privacy was associated with the hospital's ethical climate and nurses' spiritual well-being (P < 0.001). The hierarchical linear regression analysis indicated that, in step 1, patients (β = 0.22, P = 0.03) and managers' (β = 0.41, P < 0.001) subscales of ethical climate had a significant proportion of the variance of patients' privacy. In step 2, patients (β = 0.25, P = 0.01), managers' (β = 0.34, P < 0.001) subscales of ethical climate, and nurses' spiritual well-being (β = 0.17, P = 0.01) had a significant proportion of the variance of patients' privacy. According to step 2, these variables explained 40% of the changes in patients' privacy.

CONCLUSION

The results of the present study showed that the ethical climate and nurses' spiritual well-being were the predictors of patients' privacy. Given that 40% of the variance of the patients' privacy was recognized by these variables, it is suggested that further research should be conducted to determine other predictors.

When HIPAA hurts: legal barriers to texting may reinforce healthcare disparities and disenfranchise vulnerable patients

Effective health communication between healthcare providers and patients is a cornerstone of quality healthcare. It underpins trust, comprehension, and patient-informed care. Robust research shows that effective communication, including the use of text messaging for communication can improve maternal/fetal and neonatal outcomes and patient satisfaction, particularly among vulnerable patients. Health information privacy laws that do not evolve with technological advances can inadvertently create barriers to effective health communication, reinforcing perinatal disparities. This is particularly true regarding maternal and child health, where the use of text messaging for patient communication has the potential to make a substantial impact on health disparities. This article explores the complex interplay between health information privacy laws and text messaging, highlighting challenges and examining potential solutions. It stresses the need for consistent health information privacy laws that protect the privacy security of health information for pregnant patients and new mothers, while also aligning with evolving communication technologies.

Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping Review

BACKGROUND

Mobile devices offer an emerging opportunity for research participants to contribute person-generated health data (PGHD). There is little guidance, however, on how to best report findings from studies leveraging those data. Thus, there is a need to characterize current reporting practices so as to better understand the potential implications for producing reproducible results.

OBJECTIVE

The primary objective of this scoping review was to characterize publications' reporting practices for research that collects PGHD using mobile devices.

METHODS

We comprehensively searched PubMed and screened the results. Qualifying publications were classified according to 6 dimensions-1 covering key bibliographic details (for all articles) and 5 covering reporting criteria considered necessary for reproducible and responsible research (ie, "participant," "data," "device," "study," and "ethics," for original research). For each of the 5 reporting dimensions, we also assessed reporting completeness.

RESULTS

Out of 3602 publications screened, 100 were included in this review. We observed a rapid increase in all publications from 2016 to 2021, with the largest contribution from US authors, with 1 exception, review articles. Few original research publications used crowdsourcing platforms (7%, 3/45). Among the original research publications that reported device ownership, most (75%, 21/28) reported using participant-owned devices for data collection (ie, a Bring-Your-Own-Device [BYOD] strategy). A significant deficiency in reporting completeness was observed for the "data" and "ethics" dimensions (5 reporting factors were missing in over half of the research publications). Reporting completeness for data ownership and participants' access to data after contribution worsened over time.

CONCLUSIONS

Our work depicts the reporting practices in publications about research involving PGHD from mobile devices. We found that very few papers reported crowdsourcing platforms for data collection. BYOD strategies are increasingly popular; this creates an opportunity for improved mechanisms to transfer data from device owners to researchers on crowdsourcing platforms. Given substantial reporting deficiencies, we recommend reaching a consensus on best practices for research collecting PGHD from mobile devices. Drawing from the 5 reporting dimensions in this scoping review, we share our recommendations and justifications for 9 items. These items require improved reporting to enhance data representativeness and quality and empower participants.

A Systematic Review of Cervical Cancer Mobile Applications and a Future Directions for Developers

OBJECTIVE

The objective of this study is to evaluate the quality of mobile health (mHealth) applications that promote cervical cancer awareness and provide screening assistance, with an emphasis on apps available on the Google Play Store and iOS.

METHODS

From December 2023 to February 2024, we assessed mobile applications focused on cervical cancer screening that are available on Google Play and Apple iTunes. The "Cervical Cancer," "Mobile Application," "Pap Test," "Cervical Cancer Guide," "Human Papillomavirus," plus "Cervical Screening are the keywords used to search the applications." Data collection includes features such as application name, pricing, download metrics, invention date, last update, affiliation, online access, login requirements, and notification functionality, which were gathered in Excel. Interrater reliability based on four reviewers' independent judgments, varied from 0.75 to 0.83.

RESULT

In our research, we found 25 apps (16 on the Google Play Store and 9 on iOS). After a thorough review, only 14 relevant apps were included. According to the MARS rating, Rise Against Cancer received the highest score (3.9), followed by FightHPV and Cervical Cancer Forum (3.8). Rise Against Cancer (29), HPV Vaccine (28), and CDC STI Tx Guidelines (28) scored highest in the APPLICATIONS rating system. Hope 4 All and OCI Cervibreast closely matched the statements, meeting seven of the thirteen requirements each.

CONCLUSION

Future app developers should produce user-friendly, often updated mHealth applications that include high-quality cervical cancer awareness and screening content. These apps should provide validated information and pleasant graphic effects.

Balancing confidentiality and care coordination: challenges in patient privacy

BACKGROUND

In the digital age, maintaining patient confidentiality while ensuring effective care coordination poses significant challenges for healthcare providers, particularly nurses.

AIM

To investigate the challenges and strategies associated with balancing patient confidentiality and effective care coordination in the digital age.

METHODS

A cross-sectional study was conducted in a general hospital in Egypt to collect data from 150 nurses across various departments with at least six months of experience in patient care. Data were collected using six tools: Demographic Form, HIPAA Compliance Checklist, Privacy Impact Assessment (PIA) Tool, Data Sharing Agreement (DSA) Framework, EHR Privacy and Security Assessment Tool, and NIST Cybersecurity Framework. Validity and Reliability were ensured through pilot testing and factor analysis.

RESULTS

Participants were primarily aged 31-40 years (45%), with 75% female and 60% staff nurses. High compliance was observed in the HIPAA Compliance Checklist, especially in Administrative Safeguards (3.8 ± 0.5), indicating strong management and training processes, with an overall score of 85 ± 10. The PIA Tool showed robust privacy management, with Project Descriptions scoring 4.5 ± 0.3 and a total score of 30 ± 3. The DSA Framework had a mean total score of 20 ± 2, with Data Protection Measures scoring highest at 4.0 ± 0.4. The EHR assessments revealed high scores in Access Controls (4.4 ± 0.3) and Data Integrity Measures (4.3 ± 0.3), with an overall score of 22 ± 1.5. The NIST Cybersecurity Framework had a total score of 18 ± 2, with the highest scores in Protect (3.8) and lower in Detect (3.6). Strong positive correlations were found between HIPAA Compliance and EHR Privacy (r = 0.70, p < 0.05) and NIST Cybersecurity (r = 0.55, p < 0.05), reflecting effective data protection practices.

CONCLUSION

The study suggests that continuous improvement in privacy practices among healthcare providers, through ongoing training and comprehensive privacy frameworks, is vital for enhancing patient confidentiality and supporting effective care coordination.

Perspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine Learning and Qualitative Analyses of Tweets

Abortion is a controversial topic that has long been debated in the US. With the recent Supreme Court decision to overturn Roe v. Wade, access to safe and legal reproductive care is once again in the national spotlight. A key issue central to this debate is patient privacy, as in the post-HITECH Act era it has become easier for medical records to be electronically accessed and shared. This study analyzed a large Twitter dataset from May to December 2022 to examine the public's reactions to Roe v. Wade's overruling and its implications for privacy. Using a mixed-methods approach consisting of computational and qualitative content analysis, we found a wide range of concerns voiced from the confidentiality of patient-physician information exchange to medical records being shared without patient consent. These findings may inform policy making and healthcare industry practices concerning medical privacy related to reproductive rights and women's health.

The Use of Medical Crowdfunding to Mitigate the Personal Costs of Serious Chronic Illness: Scoping Review

BACKGROUND

Persons diagnosed with serious chronic illnesses and their caretakers experience multiple types of financial costs that strain their income and generate financial distress. Many turn to medical crowdfunding (MCF) to mitigate the harms of these costs on their health and quality of life.

OBJECTIVE

This scoping review aims to summarize the research on MCF for persons diagnosed with serious chronic illness regarding study designs and methods; the responsible conduct of research practices; and study foci as they relate to stress, stress appraisals, and the coping processes.

METHODS

This review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Eligible studies were conducted in countries designated as high income by the World Bank and focused on beneficiaries diagnosed with serious chronic illness. The findings of the included studies were summarized as they related to the key concepts in a conceptual framework derived from an established stress, appraisal, and coping framework and a conceptual model of financial toxicity in pediatric oncology.

RESULTS

Overall, 26 studies were eligible for inclusion in the review. The main findings included a lack of integration of qualitative and quantitative approaches and the inconsistent reporting of the responsible conduct of research practices. The included studies focused on financial stressors that contributed to financial burden, such as out-of-pocket payments of medical bills, basic living expenses, medical travel expenses, and lost income owing to illness-related work disruptions. Few studies addressed stress appraisals as threatening or the adequacy of available financial resources. When mentioned, appraisals related to the global financial struggle during the COVID-19 pandemic or the capacity of social network members to donate funds. The consequences of MCF included the receipt of 3 forms of social support (tangible, informational, and emotional), privacy loss, embarrassment, and the propagation of scientifically unsupported information. Studies found that friends and family tended to manage MCF campaigns. Although most of the studies (21/26, 81%) focused on monetary outcomes, a few (5/26, 19%) concentrated on peoples' experiences with MCF.

CONCLUSIONS

The identified methodological gaps highlight the need for more robust and reproducible approaches to using the copious data available on public MCF platforms. The integration of quantitative and qualitative methods will allow for nuanced explorations of the MCF experience. A more consistent elaboration of strategies to promote the responsible conduct of research is warranted to minimize risk to populations that are vulnerable and express concerns regarding the loss of privacy. Finally, an examination of the unanticipated consequences of MCF is critical for the development of future interventions to optimize existing supports while providing needed supports, financial and nonfinancial, that are lacking.

Diabetes and hypertension MobileHealth systems: a review of general challenges and advancements

Mobile health (mHealth) systems are sipping into more and more healthcare functions with self-management being the foremost modus operandi. However, there has been challenges. This study explores challenges with mHealth self-management of diabetes and hypertension, two of the most comorbid chronic diseases. Existing literature present the challenges in fragments, certain subsets of the challenges at a time. Nevertheless, feedback from patient/users in extant literature depict very variegated concerns that are also interdependent. This work pursues provision of an encyclopedic, but not redundant, view of the challenges with mHealth systems for self-management of diabetes and hypertension.

Furthermore, the work identifies machine learning (ML) and self-management approaches as potential drivers of potency of diabetes and hypertension mobile health systems. The nexus between ML and diabetes and hypertension mHealth systems was found to be under-explored. For ML contributions to management of diabetes, we found that machine learning has been applied most to diabetes prediction followed by diagnosis, with therapy in distant third. For diabetes therapy research, only physical and dietary therapy were emphasized in reviewed literature. The four most considered performance metrics were accuracy, ROC-AUC, sensitivity, and specificity. Random forest was the best performing algorithm across all metrics, for all purposes covered in the literature. For hypertension, in descending order, hypertension prediction, prediction of risk factors, and prediction of prehypertension were most considered areas of hypertension management witnessing application of machine learning. SVM averaged best ML algorithm in accuracy and sensitivity, while random forest averaged best performing in specificity and ROC-AUC.

Perceptions of conflicting information about long-term medications: a qualitative in-depth interview study of patients with chronic diseases in the Swiss ambulatory care system

OBJECTIVE

Patients with multiple long-term conditions visit various healthcare professionals and are exposed to medication information from various sources causing an increased risk of patients perceiving contradictory medication information. The aims of this study are to: (1) characterise conflicting medication information perceived by patients with long-term conditions, (2) better understand the related impact on patients' medication self-management and healthcare system navigation and (3) explore ways in which such events could be prevented.

DESIGN

This study was conducted through qualitative semistructured interviews. Data were analysed using thematic analysis.

SETTING

Community pharmacies and medical centres in Geneva, Switzerland.

PARTICIPANTS

This study included outpatients from April 2019 to February 2020. Patients were included after participating in a quantitative survey of perceived conflicting information about medications for long-term diseases.

METHODS

Semistructured audiotaped interviews of 20 to 60 min following a pre-established interview guide to explore participants' perceptions of conflicting information. Interviews were transcribed verbatim, and a thematic analysis was conducted with inductive and deductive coding using MAXQDA (2018, Release 18.2.3).

RESULTS

Twenty-two patients were interviewed, until data saturation, mentioning indication or need for a medication as the main topic of conflicting information between two healthcare professionals. Perceived conflicting information often resulted from insufficient information provided and poor communication leading to confusion, doubts and medication non-adherence. Patients expected more information and more interprofessional communication on their medications. As a result of conflicting information, most participants learnt or were learning to take an active role and become partners of the healthcare providers.

CONCLUSION

The need to strengthen and improve communication and interprofessional collaborative practice among healthcare professionals and with the patient is emerging to increase the quality and consistency of information about medications, and consequently, to ensure better use and experience of medications.

Exploring the Evolution of Social Media in Mental Health Interventions: A Mapping Review

BACKGROUND

With the rise of social media, social media use for delivering mental health interventions has become increasingly popular. However, there is no comprehensive overview available on how this field developed over time.

OBJECTIVES

The objective of this paper is to provide an overview over time of the use of social media for delivering mental health interventions. Specifically, we examine which mental health conditions and target groups have been targeted, and which social media channels or tools have been used since this topic first appeared in research.

METHODS

To provide an overview of the use of social media for mental health interventions, we conducted a search for studies in four databases (PubMed; ACM Digital Library; PsycInfo; and CINAHL) and two trial registries (Clinicaltrials.gov; and Cochranelibrary.com). A sample of representative keywords related to mental health and social media was used for that search. Automatic text analysis methods (e.g., BERTopic analysis, word clouds) were applied to identify topics, and to extract target groups and types of social media.

RESULTS

A total of 458 studies were included in this review (n=228 articles, and n=230 registries). Anxiety and depression were the most frequently mentioned conditions in titles of both articles and registries. BERTopic analysis identified depression and anxiety as the main topics, as well as several addictions (including gambling, alcohol, and smoking). Mental health and women's research were highlighted as the main targeted topics of these studies. The most frequently targeted groups were "adults" (39.5%) and "parents" (33.4%). Facebook, WhatsApp, messenger platforms in general, Instagram, and forums were the most frequently mentioned tools in these interventions.

CONCLUSIONS

We learned that research interest in social media-based interventions in mental health is increasing, particularly in the last two years. A variety of tools have been studied, and trends towards forums and Facebook show that tools allowing for more content are preferred for mental health interventions. Future research should assess which social media tools are best suited in terms of clinical outcomes. Additionally, we conclude that natural language processing tools can help in studying trends in research on a particular topic.

How Participatory Health Informatics Catalyzes One Digital Health

OBJECTIVE

To identify links between Participatory Health Informatics (PHI) and the One Digital Health framework (ODH) and to show how PHI could be used as a catalyst or contributor to ODH.

METHODS

We have analyzed the addressed topics within the ODH framework in previous IMIA Yearbook contributions from our working group during the last 10 years. We have matched main themes with the ODH's framework three perspectives (individual health and wellbeing, population and society, and ecosystem).

RESULTS

PHI catalysts ODH individual health and wellbeing perspective by providing a more comprehensive view on human health, attitudes, and relations between human health and animal health. Integration of specific behavior change techniques or gamification strategies in digital solutions are effective to change behaviors which address the P5 paradigm. PHI supports the population and society perspective through the engagement of the various stakeholders in healthcare. At the same time, PHI might increase a risk for health inequities due to technologies inaccessible to all equally and challenges associated with this. PHI is a catalyst for the ecosystem perspective by contributing data into the digital health data ecosystem allowing for analysis of interrelations between the various data which in turn might provide links among all components of the healthcare ecosystem.

CONCLUSION

Our results suggest that PHI can and will involve topics relating to ODH. As the ODH concept crystalizes and becomes increasingly influential, its themes will permeate and become embedded in PHI even more. We look forward to these developments and co-evolution of the two frameworks.

Ten Topics to Get Started in Medical Informatics Research

The vast and heterogeneous data being constantly generated in clinics can provide great wealth for patients and research alike. The quickly evolving field of medical informatics research has contributed numerous concepts, algorithms, and standards to facilitate this development. However, these difficult relationships, complex terminologies, and multiple implementations can present obstacles for people who want to get active in the field. With a particular focus on medical informatics research conducted in Germany, we present in our Viewpoint a set of 10 important topics to improve the overall interdisciplinary communication between different stakeholders (eg, physicians, computational experts, experimentalists, students, patient representatives). This may lower the barriers to entry and offer a starting point for collaborations at different levels. The suggested topics are briefly introduced, then general best practice guidance is given, and further resources for in-depth reading or hands-on tutorials are recommended. In addition, the topics are set to cover current aspects and open research gaps of the medical informatics domain, including data regulations and concepts; data harmonization and processing; and data evaluation, visualization, and dissemination. In addition, we give an example on how these topics can be integrated in a medical informatics curriculum for higher education. By recognizing these topics, readers will be able to (1) set clinical and research data into the context of medical informatics, understanding what is possible to achieve with data or how data should be handled in terms of data privacy and storage; (2) distinguish current interoperability standards and obtain first insights into the processes leading to effective data transfer and analysis; and (3) value the use of newly developed technical approaches to utilize the full potential of clinical data.

Cross-Platform Detection of Psychiatric Hospitalization via Social Media Data: Comparison Study

BACKGROUND

Previous research has shown the feasibility of using machine learning models trained on social media data from a single platform (eg, Facebook or Twitter) to distinguish individuals either with a diagnosis of mental illness or experiencing an adverse outcome from healthy controls. However, the performance of such models on data from novel social media platforms unseen in the training data (eg, Instagram and TikTok) has not been investigated in previous literature.

OBJECTIVE

Our study examined the feasibility of building machine learning classifiers that can effectively predict an upcoming psychiatric hospitalization given social media data from platforms unseen in the classifiers' training data despite the preliminary evidence on identity fragmentation on the investigated social media platforms.

METHODS

Windowed timeline data of patients with a diagnosis of schizophrenia spectrum disorder before a known hospitalization event and healthy controls were gathered from 3 platforms: Facebook (254/268, 94.8% of participants), Twitter (51/268, 19% of participants), and Instagram (134/268, 50% of participants). We then used a 3 × 3 combinatorial binary classification design to train machine learning classifiers and evaluate their performance on testing data from all available platforms. We further compared results from models in intraplatform experiments (ie, training and testing data belonging to the same platform) to those from models in interplatform experiments (ie, training and testing data belonging to different platforms). Finally, we used Shapley Additive Explanation values to extract the top predictive features to explain and compare the underlying constructs that predict hospitalization on each platform.

RESULTS

We found that models in intraplatform experiments on average achieved an F₁-score of 0.72 (SD 0.07) in predicting a psychiatric hospitalization because of schizophrenia spectrum disorder, which is 68% higher than the average of models in interplatform experiments at an F₁-score of 0.428 (SD 0.11). When investigating the key drivers for divergence in construct validities between models, an analysis of top features for the intraplatform models showed both low predictive feature overlap between the platforms and low pairwise rank correlation (<0.1) between the platforms' top feature rankings. Furthermore, low average cosine similarity of data between platforms within participants in comparison with the same measurement on data within platforms between participants points to evidence of identity fragmentation of participants between platforms.

CONCLUSIONS

We demonstrated that models built on one platform's data to predict critical mental health treatment outcomes such as hospitalization do not generalize to another platform. In our case, this is because different social media platforms consistently reflect different segments of participants' identities. With the changing ecosystem of social media use among different demographic groups and as web-based identities continue to become fragmented across platforms, further research on holistic approaches to harnessing these diverse data sources is required.

Knowledge, Attitudes, and Practices of Speech Language Pathologists in India about Telerehabilitation Services during the COVID-19 pandemic

PURPOSE

The global impact of the COVID-19 pandemic has opened opportunities for service providers and patients to continue with clinical services in certain extraordinary settings and circumstances. Telerehabilitation in the field of speech language pathology in India is still at its infancy, with a majority of the Speech Language Pathologists (SLP) accustomed with the conventional face-to-face system of service delivery. The present study aims to gather the knowledge, attitudes, and practices (KAP) of SLPs in India regarding telerehabilitation services during the pandemic.

METHODS

The study was conducted in three phases: phase I involved the development and validation of a questionnaire to explore the KAP of SLPs regarding telerehabilitation services. The items were framed based on a Likert rating scale (strongly agree, agree, neutral, disagree, and strongly disagree), yes-no-maybe format, open-ended, and multiple-choice format. Phase II involved data collection, while phase III involved data analysis. Descriptive statistics was done to derive the frequency and percentage for discrete variables and mean and SD for continuous variables.

RESULTS

Many SLPs feel underprepared in their technical knowledge and skills needed for telerehabilitation. Furthermore, a majority of the SLPs also did report patients to be relatively lesser motivated and satisfied with tele practices due to issues that are discussed in the paper.

CONCLUSION

This study is an initial attempt to touch upon the fabric of telerehabilitation services delivered by SLPs of India. Future studies are directed to study the technical, professional, and personal issues encountered during telerehabilitation services specifically pertaining to specific communication disabilities.

Sex in the Context of Substance Use: A Study of Perceived Benefits and Risks, Boundaries, and Behaviors among Adolescents Participating in an Internet-Based Intervention

Little research has examined adolescents' perspectives of sex with substance use. This study examined (1) adolescents' perceived benefits and risks of sex with substance use, as well as boundaries; (2) the potential for positive and negative social influences among adolescents when they discuss these topics; and (3) whether exposure to health-promoting content is associated with trajectories of sex with substance use over a 6-month period. To address the first two objectives, 176 comments were analyzed from 71 adolescents (90% female) aged 14-18 years who participated in an Internet-based sexual health promotion intervention and posted to at least one message board addressing sex with substance use. Adolescents' perceived benefits and risks of sex with substance use primarily reflected concern for the experience of sex in the moment; perceived risks and boundaries primarily reflected concern for the ability to develop and maintain meaningful relationships. Comments of 63% and 22% of adolescents, respectively, were evaluated to have potential for health-promoting and risk-promoting social influence. To address the third objective, trajectories of self-reported sex with substance use were compared between 89 intervention and 54 control participants. No significant differences were observed. However, a dose-response effect was observed; intervention participants who completed less than one third of assigned tasks reported increases in sex with alcohol or marijuana use over time, while no marked changes or much smaller changes in sex with substance use were observed among intervention participants who completed one third or more tasks. Implications for prevention and intervention programs are discussed.

Defining participatory health informatics - a scoping review

Healthcare has been shifting toward individuals participating in decision-making and empowered to be active in their treatment, and health monitoring. The term "participatory health informatics" (PHI) started to appear in literature. A clear definition of PHI is missing, and facets of PHI still have to be shaped. The objective of this paper is to offer a definition of PHI considering themes and technologies that make healthcare participatory. We searched Pubmed, ACM Digital Library, IEEE Xplore, EMBASE, and conference proceedings for articles that reported about use of information technology or informatics in the context of PHI. We performed qualitative synthesis and reported summary statistics. 39 studies were eligible after screening 382 titles and abstracts and reviewing 82 full texts. The top 5 person-centered key themes related to PHI included empowerment, decision-making, informed patient, collaboration, and disease management. Finally, we propose to define PHI as multidisciplinary field that uses information technology as provided through the web, smartphones, or wearables to increase participation of individuals in their care process and to enable them in self-care and shared decision-making. Goals to be achieved through PHI include maintaining health and well-being; improving the healthcare system and health outcomes; sharing experiences; achieving life goals; and self-education.

The risks and benefits of using social media to engage consumers in service design and quality improvement in Australian public hospitals: findings from an interview study of key stakeholders

BACKGROUND

Engaging consumers - patients, families, carers and community members who are current or potential service users - in the planning, design, delivery, and improvement of health services is a requirement of public hospital accreditation in Australia. There is evidence of social media being used for consumer engagement in hospitals internationally, but in Australia this use is uncommon and stakeholders' experiences have not been investigated. The aim of the study was to explore the experiences and beliefs of key Australian public hospital stakeholders around using social media as a consumer engagement tool. This article focuses on the study findings relating to methods, risks, and benefits of social media use.

METHODS

Semi-structured interviews were conducted with Australian public hospital stakeholders in consumer representative, consumer engagement/patient experience, communications or quality improvement roles. Qualitative data were analysed using a deductive content analysis method. An advisory committee of consumer and service provider stakeholders provided input into the design and conduct of this study.

RESULTS

Twenty-six Australian public hospital service providers and consumers were interviewed. Participants described social media being used to: recruit consumers for service design and quality improvement activities; as an online space to conduct consultations or co-design; and, to gather feedback and patient experience data. The risks and benefits discussed by interview participants were grouped into five themes: 1) overcoming barriers to engagement, 2) consumer-initiated engagement; 3) breadth vs depth of engagement, 4) organisational transparency vs control and 5) users causing harm.

CONCLUSIONS

Social media can be used to facilitate consumer engagement in hospital service design and quality improvement. However, social media alone is unlikely to solve broader issues commonly experienced within health consumer engagement activities, such as tokenistic engagement methods, and lack of clear processes for integrating consumer and patient feedback into quality improvement activities.

Needs assessment for the creation of a community of practice in a community health navigator cohort

BACKGROUND

Community Health Navigators (CHNs) are members of a patient's care team that aim to reduce barriers in accessing healthcare. CHNs have been described in various healthcare settings, including chronic disease management. The ENhancing COMmunity health through Patient navigation, Advocacy, and Social Support (ENCOMPASS) program of research employs CHNs, who are trained to improve access to care and community resources for patients with multiple chronic diseases. With complex and demanding roles, it is essential that CHNs communicate with each other to maintain knowledge exchange and best practices. A Community of Practice (CoP) is a model of situated learning that promotes communication, dedication, and collaboration that can facilitate this communication. The objective of this study was to engage with CHNs to determine how a CoP could be implemented to promote consistency in practices and knowledge for CHNs across primary care sites.

METHODS

A needs assessment for a CHN CoP was conducted using sequential steps of inquiry. A preliminary focused literature review (FLR) was done to examine the ways in which other healthcare CoPs have been implemented. Results from the FLR guided the creation of an exploratory survey and group interview with key informants to understand best approaches for CoP creation. Political, economic, social, and technological (PEST) and strengths, weaknesses, opportunities, and threats (SWOT) analyses synthesized results in a comprehensive manner for strategic recommendations.

RESULTS

The FLR identified different approaches and components of healthcare CoPs and guided analyses of mitigatable risk factors and leverageable assets for the intervention. The survey and group interview revealed an informal and effective CoP amongst current CHNs, with preferred methods including coffee meetings, group trainings, and seminars. A well-maintained web platform with features such as an encrypted discussion forum, community resource listing, calendar of events, and semi-annual CHN conferences were suggested methods for creating an inter-regional, formal CoP.

CONCLUSION

The study findings recognise the presence of an informal CoP within the studied CHN cohort. Implementation of a formal CoP should complement current CoP approaches and aid in facilitating expansion to other primary care centres utilizing digital communication methods, such as a comprehensive web platform and online forum.

Content and Method of Information for Participants in Clinical Studies With Induced Pluripotent Stem Cells (iPSCs)

Research with induced pluripotent stem cells (iPSCs) involves specific ethical challenges, which should be addressed in the informed consent process. Up to now, little concern has been paid to the practice of information in iPSC-clinical studies. In order to fill this research gap, we have searched the documentation of the Research Ethics Committee at Ulm University from the years 2007 to 2019. In our previous research, we have identified 11 items for evaluation of the process of information in iPSC research. We used these items to analyze content and form of information provided for participants in the iPSC studies conducted at Ulm University and Ulm University Hospital in Germany. All analyzed studies provide general information regarding the study's aim, method, and collection of donor's personal data and specimen. The information for participants in these studies adheres to general guidelines for research involving human subjects; however, in several areas fails to take into account the specific nature of research with iPSCs. The majority of analyzed studies fail to provide information about possible individual consequences connected with genetic research, such as the possibility of re-identification of the donor or incidental findings acquired during research. Missing is also information about the possibility of future studies involving reproductive research or transplantation of cells and organs. The donor information process in all analyzed studies is conducted in form of the information sheet and oral information. The results of our research show that the process of informed consent in iPSC research should be updated as new developments emerge in this area. However, comprehension of information should not be jeopardized through information overload. Effective communication of essential information requires improved information methods tailored to the needs of participants, such as video animations, interactive consent modules or social media instruments.

Research data management in health and biomedical citizen science: practices and prospects

Background

Public engagement in health and biomedical research is being influenced by the paradigm of citizen science. However, conventional health and biomedical research relies on sophisticated research data management tools and methods. Considering these, what contribution can citizen science make in this field of research? How can it follow research protocols and produce reliable results?

Objective

The aim of this article is to analyze research data management practices in existing biomedical citizen science studies, so as to provide insights for members of the public and of the research community considering this approach to research.

Methods

A scoping review was conducted on this topic to determine data management characteristics of health and bio medical citizen science research. From this review and related web searching, we chose five online platforms and a specific research project associated with each, to understand their research data management approaches and enablers.

Results

Health and biomedical citizen science platforms and projects are diverse in terms of types of work with data and data management activities that in themselves may have scientific merit. However, consistent approaches in the use of research data management models or practices seem lacking, or at least are not prevalent in the review.

Conclusions

There is potential for important data collection and analysis activities to be opaque or irreproducible in health and biomedical citizen science initiatives without the implementation of a research data management model that is transparent and accessible to team members and to external audiences. This situation might be improved with participatory development of standards that can be applied to diverse projects and platforms, across the research data life cycle.

Patients' Willingness to Share Information in Online Patient Communities: Questionnaire Study

Background

Online patient communities provide new channels for users to access and share medical information. In-depth study of users’ willingness to share information in online patient communities is of great significance for improving the level of information sharing among the patient community and the long-term development of communities.

Objective

The aim of this study was to build a model of factors affecting patients’ willingness to share medical information from the perspective of both positive and negative utilities. Specifically, we aimed to determine the influence of online information support and privacy concerns, as well as the moderating effect of disease severity and information sensitivity of different patients on their willingness to share.

Methods

Data from 490 users with experience in online patient communities were collected through a questionnaire survey, and structural equations were applied to empirically verify the model hypotheses.

Results

Privacy concerns negatively affected the patients’ willingness to share information (P<.001), whereas online information support positively affected patients’ willingness to share information (P<.001), and information sensitivity negatively moderated the impact of online information support on sharing willingness (P=.01). Disease severity positively moderated the impact of privacy concerns on sharing willingness (P=.05). However, the hypotheses that information sensitivity is a negative moderator and disease severity is a positive moderator of the impact of privacy concerns on sharing willingness could not be supported.

Conclusions

To improve the level of user information sharing, the online patient community should design a safe user registration process, ensure the confidentiality of information, reduce the privacy concerns of users, and accurately identify the information needs of patients to provide personalized support services.

Donor information in research and drug evaluation with induced pluripotent stem cells (iPSCs)

Background

The discovery of induced pluripotent stem cells (iPSCs) opened the possibilities for reprogramming cells back to a pluripotent state. Because of no apparent ethical issues connected with donation and derivation of biomaterial, iPSCs are considered as a research alternative to ethically highly disputed human embryonic stem cells (hESCs). However, the unique character of iPSCs leads to numerous ethical considerations, which mainly concern the issue of donor information and consent for the use of biospecimen in research and drug evaluation.

Methods

For the purpose of this analysis, we conducted a review of the literature in the PubMed/MEDLINE and Web of Science databases. The search algorithm led to the identification of 1461 results. After removing duplicates and screening of title and abstract, 90 articles were found to be relevant to the study’s objective. Full texts of these articles were apprised and 62 articles were excluded at this step for not properly addressing the study’s objective. In the final step, 28 articles were included in the analysis. Analyzed were both research and non-research manuscripts published in peer-reviewed journals.

Results

In the case of iPSC research, the information process should be guided by general frameworks established for research on human subjects but also by specific characteristics of iPSCs. We determined four main domains and 12 thematic subdomains that should be included in donor information. Our results show that majority of authors agree to the content of information with regard to the areas of general information, storage of cells, and protection of privacy. Two main issues that are discussed in the literature are donor’s consent for use in future studies and the process of donor information.

Conclusions

Given the unique character of iPSCs and the possibility of their various uses in the future, the content of donor information should contain specific information central to iPSC research. Effective methods of communicating information to donors should combine written and oral information with the possible use of multimedia.

Digitalization and Physician Learning: Individual Practice, Organizational Context, and Social Norm

INTRODUCTION

The emerging context of online platforms and digitally engaged patients demands new competencies of health care professionals. Although information and communication technologies (ICTs) can strengthen continuous professional development (CPD) and learning at work, more research is needed on ICT for experiential and collegial learning.

METHODS

The study builds on prior qualitative research to identify issues and comprises a quantitative assessment of ICT usage for learning in health care. A survey was administered to Swedish physicians participating in a CPD program as part of specialist medical training. Conclusions focused specifically on learning dimensions are drawn from correlation analyses complemented with multiple regression.

RESULTS

The findings show that physicians' actual use of ICT is related to perceived performance, social influence, and organizational context. Social norm was the most important variable for measured general usage, whereas performance expectancy (perceived usefulness of ICT) was important for ICT usage for learning. The degree of individual digitalization affects performance and, in turn, actual use.

DISCUSSION

The study highlights the need to incorporate ICT effectively into CPD and clinical work. Besides formal training and support for specific systems, there is a need to understand the usefulness of digitalization integrated into practice. Moving beyond instrumentalist views of technology, the model in this study includes contextualized dimensions of ICT and learning in health care. Findings confirm that medical communities are influencers of use, which suggests that an emphasis on collegial expectations for digital collaboration will enhance practitioner adaptation.

Unlocking the Power of Artificial Intelligence and Big Data in Medicine

Data-driven science and its corollaries in machine learning and the wider field of artificial intelligence have the potential to drive important changes in medicine. However, medicine is not a science like any other: It is deeply and tightly bound with a large and wide network of legal, ethical, regulatory, economical, and societal dependencies. As a consequence, the scientific and technological progresses in handling information and its further processing and cross-linking for decision support and predictive systems must be accompanied by parallel changes in the global environment, with numerous stakeholders, including citizen and society. What can be seen at the first glance as a barrier and a mechanism slowing down the progression of data science must, however, be considered an important asset. Only global adoption can transform the potential of big data and artificial intelligence into an effective breakthroughs in handling health and medicine. This requires science and society, scientists and citizens, to progress together.

A Rapid Process for Identifying and Prioritizing Technology-Based Tools for Health System Implementation

Background

Health system decisions to put new technologies into clinical practice require a rapid and trustworthy decision-making process informed by best evidence.

Objective

This study aimed to present a rapid evidence review process that can be used to inform health system leaders and clinicians seeking to implement new technology tools to improve patient-clinician decision making and patient-oriented outcomes.

Methods

The rapid evidence review process we pioneered involved 5 sequential subprocesses: (1) environmental scan, (2) expert panel recruitment, (3) host evidence review panel, (4) analysis, and (5) local validation panel. We conducted an environmental scan of health information technology (IT) literature to identify relevant digital tools in oncology care. We synthesized the recent literature using current evidence review methods, creating visual summaries for use by a national panel of experts. Panelists were taken through a 6-hour modified Delphi process to prioritize tools for implementation. Findings from the rapid evidence review panel were taken to a local validation panel for further rapid review during a 3-hour session.

Results

Our rapid evidence review process shows promise for informing decision making by reducing the amount of time and resources needed to identify and prioritize adoption of IT tools. Despite evidence of improved patient outcomes, panelists had substantial concerns about implementing patient-reported outcome tracking tools, voicing concerns about liability, lack of familiarity with new technology, and additional time and workflow changes such tools would require. Instead, clinicians favored technologies that did not require clinician involvement.

Conclusions

Health system leaders can use the rapid evidence review process presented here to usefully inform local technology adoption, implementation, and use in practice.