When rules turn into tools: An activity theory-based perspective on implementation processes and unintended consequences.

The idea that actions of people, organizations or governments may lead to Unintended Consequences (UICs) is not new. In health, UICs have been reported as a result of various interventions including quality improvement initiatives, health information technology implementation, and knowledge translation, especially those involving translation of broad policies (evidence-based medicine and patient-centred care) or system level improvement into actionable items or tools. While some unintended consequences cannot be anticipated, others may be predictable. In this article, we present a model based on cultural historical activity theory, which may help policy-makers, health leaders, and researchers better anticipate UICs resulting from implementation of new programs or technologies and take action to address them or mitigate their risk of occurrence. We support this model using examples of UICs of implementing family centred care principles, electronic health records, and computerized templates for quality improvement in chronic disease management.

Technostress as source of physician burnout: An exploration of the associations between technology usage and physician burnout.

BACKGROUND: The cause of physician burnout is multifactorial. Health care systems pressures, excessive workloads, fatigue, poor self-care, administrative burdens, work hours, technological advancements, and work-home life conflicts, are all prominent themes throughout the literature. To date, little is known about whether, and to what extent, stressors related to the use of information and communication technology (ICT) use, other than electronic health records, outside of working hours, contribute to physician burnout. PURPOSE: The purpose of this study was to explore whether work related ICT use outside of working hours is associated with physician burnout. METHOD: A cross-sectional survey delivered online using The Maslach Burnout Inventory (MBI), a Physician Technology Usage Scale (PTUS) (and 7 personal characteristics questions. Data were analyzed using bivariate correlations, analysis of variance (ANOVA) and t-tests, and multiple linear regression. RESULTS: Of 2,108 participants invited to complete the survey, 403 responded to and completed the survey (19% response rate). Results identified two significant factors associated with physician burnout: work related technology use outside of working hours, and the number of years in practice. CONCLUSION: This research highlights the need for additional in-depth research into areas such as: 1. work-home life issues and how the use of technology outside of work hours may affect or be affected by burnout; 2. physician age and experience and burnout; 3. The differences between specialties and whether and how specialty-specific factors are related to burnout.

Recommendations of the International Medical Informatics Association (IMIA) on Education in Biomedical and Health Informatics: Second Revision.

BACKGROUND: The purpose of educational recommendations is to assist in establishing courses and programs in a discipline, to further develop existing educational activities in the various nations, and to support international initiatives for collaboration and sharing of courseware. The International Medical Informatics Association (IMIA) has published two versions of its international recommendations in biomedical and health informatics (BMHI) education, initially in 2000 and revised in 2010. Given the recent changes to the science, technology, the needs of the healthcare systems, and the workforce of BMHI, a revision of the recommendations is necessary. OBJECTIVE: The aim of these updated recommendations is to support educators in developing BMHI curricula at different education levels, to identify essential skills and competencies for certification of healthcare professionals and those working in the field of BMHI, to provide a tool for evaluators of academic BMHI programs to compare and accredit the quality of delivered programs, and to motivate universities, organizations, and health authorities to recognize the need for establishing and further developing BMHI educational programs. METHOD: An IMIA taskforce, established in 2017, updated the recommendations. The taskforce included representatives from all IMIA regions, with several having been involved in the development of the previous version. Workshops were held at different IMIA conferences, and an international Delphi study was performed to collect expert input on new and revised competencies. RESULTS: Recommendations are provided for courses/course tracks in BMHI as part of educational programs in biomedical and health sciences, health information management, and informatics/computer science, as well as for dedicated programs in BMHI (leading to bachelor's, master's, or doctoral degree). The educational needs are described for the roles of BMHI user, BMHI generalist, and BMHI specialist across six domain areas - BMHI core principles; health sciences and services; computer, data and information sciences; social and behavioral sciences; management science; and BMHI specialization. Furthermore, recommendations are provided for dedicated educational programs in BMHI at the level of bachelor's, master's, and doctoral degrees. These are the mainstream academic programs in BMHI. In addition, recommendations for continuing education, certification, and accreditation procedures are provided. CONCLUSION: The IMIA recommendations reflect societal changes related to globalization, digitalization, and digital transformation in general and in healthcare specifically, and center on educational needs for the healthcare workforce, computer scientists, and decision makers to acquire BMHI knowledge and skills at various levels. To support education in BMHI, IMIA offers accreditation of quality BMHI education programs. It supports information exchange on programs and courses in BMHI through its Working Group on Health and Medical Informatics Education.

Assessing the Quality of Direct-to-Consumer Teleconsultation Services in Canada.

The objective of this study was to describe and assess the quality of the direct-to-consumer medical teleconsultation landscape in three Canadian provinces. An environmental scan of primary care teleconsultation platforms was conducted in January 2022 to identify medical teleconsultation platforms in Quebec (Qc), Ontario, and British Columbia (BC). The quality of each teleconsultation platform was assessed using a modified version of the HONcode principles. Nineteen different direct-to-consumer medical teleconsultation platforms were identified across the three provinces. The quality of these teleconsultation platforms was very heterogeneous. The landscape of virtual primary care is changing rapidly in the Canadian ecosystem, and the transparency of current teleconsultation platforms could be improved.

Understanding Decision-Making in the Adoption of Digital Health Technology: The Role of Behavioral Economics' Prospect Theory.

The decision to accept or reject new digital health technologies remains an ongoing challenge among health care patients, providers, technology companies, and policymakers. Over the past few decades, interest in understanding the choice to adopt technology has led to the development of numerous theories and models. In 1979, however, psychologists Kahneman and Tversky published their seminal research article that has pioneered the field of behavioral economics. They named their model the prospect theory and used it to explain decision-making behaviors under conditions of risk and uncertainty as well as to provide an understanding of why individuals may make irrational or inconsistent choices. Although the prospect theory has been used to explain decision-making in economics, law, political science, and clinically, at the individual level, its application to understanding choice in the adoption of digital health technology has not been explored. Herein, we discuss how the main components of the prospect theory's editing phase (framing effect) and evaluation phase (value function and weighting function) can provide valuable insight on why health care patients, providers, technology companies, and policymakers may decide to accept or reject digital health technologies.

Decision-making for Parents of Children With Medical Complexities: Activity Theory Analysis.

BACKGROUND: Shared decision-making (SDM), a collaborative approach to reach decisional agreement, has been advocated as an ideal model of decision-making in the medical encounter. Frameworks for SDM have been developed largely from the clinical context of a competent adult patient facing a single medical problem, presented with multiple treatment options informed by a solid base of evidence. It is difficult to apply this model to the pediatric setting and children with medical complexity (CMC), specifically since parents of CMC often face a myriad of interconnected decisions with minimal evidence available on the multiple complex and co-existing chronic conditions. Thus, solutions that are developed based on the traditional model of SDM may not improve SDM practices for CMCs and may be a factor contributing to the low rate of SDM practiced with CMCs. OBJECTIVE: The goal of our study was to address the gaps in the current approach to SDM for CMC by better understanding the decision-making activity among parents of CMCs and exploring what comprises their decision-making activity. METHODS: We interviewed 12 participants using semistructured interviews based on activity theory. Participants identified as either a parent of a CMC or a CMC over the age of 18 years. Qualitative framework analysis and an activity theory framework were employed to understand the complexity of the decision-making process in context. RESULTS: Parents of CMCs in our study made decisions based on a mental model of their child's illness, informed by the activities of problem-solving, seeking understanding, obtaining tests and treatment, and caregiving. These findings suggest that the basis for parental choice and values, which are used in the decision-making activity, was developed by including activities that build concrete understanding and capture evidence to support their decisions. CONCLUSIONS: Our interviews with parents of CMCs suggest that we can address both the aims of each individual activity and the related outcomes (both intended and unintended) by viewing the decision-making activity as a combination of caregiving, problem-solving, and seeking activities. Clinicians could consider using this lens to focus decision-making discussions on integrating the child's unique situation, the insights parents gain through their decision-making activity, and their clinical knowledge to enhance the understanding between parents and health care providers, beyond the narrow concept of parental values.

Income-Generating Processes of Free Web-Based Digital Health Tools to Engage Patients: Qualitative Analysis.

BACKGROUND: In recent years, digital tools have become a viable means for patients to address their health and information needs. Governments and health care organizations are offering digital tools such as self-assessment tools, symptom tracking tools, or chatbots. Other sources of digital tools, such as those offered through patient platforms, are available on the internet free of charge. We define patient platforms as health-specific websites that offer tools to anyone with internet access to engage them in their health care process with peer networks to support their learning. Although numerous social media platforms engage users without up-front charges, patient platforms are specific to health. As little is known about their business model, there is a need to understand what else these platforms are trying to achieve beyond supporting patients so that patients can make informed decisions about the benefits and risks of using the digital tools they offer. OBJECTIVE: The aim of this study is to explore what patient platforms are trying to achieve beyond supporting patients and how their digital tools can be used to generate income. METHODS: Textual and visual data collected from a purposeful selection of 11 patient platforms from September 2013 to August 2014 were analyzed using framework analysis. Data were systematically and rigorously coded and categorized according to key issues and themes by following 5 steps: familiarizing, identifying a thematic framework, indexing, charting, and mapping and interpretation. We used open coding to identify additional concepts not captured in the initial thematic framework. This paper reports on emergent findings on the business models of the platforms and their income-generating processes. RESULTS: Our analysis revealed that in addition to patients, the platforms support other parties with interests in health and information exchanges. Patient platforms did not charge up-front fees but generated income from other sources, such as advertising, sponsorship, marketing (eg, sending information to users on behalf of sponsors or providing means for sponsors to reach patients directly), supporting other portals, and providing research services. CONCLUSIONS: This study reports on the mechanisms by which some patient platforms generate income to support their operations, gain profit, or both. Although income-generating processes exist elsewhere on social media platforms in general, they pose unique challenges in the health context because digital tools engage patients in health and information exchanges. This study highlights the need to minimize the potential for unintended consequences that can pose health risks to patients or can lead to increased health expenses. By understanding other interests that patient platforms support, our findings point to important policy implications, such as whether (and how) authorities might protect users from processes that may not always be in their best interests and can potentially incur costs to the health system.

Virtual care: a 'Zoombie' apocalypse?

In the wake of COVID-19, clinicians took to telehealth to continue providing services to their patients, mostly via telephone or videoconferencing technology. Telehealth has many promised and proven benefits including convenience to the patient, potentially less distraction from the electronic health record (EHR), saves in travel time and expenses, and lowering patients' wait time in the clinic. However, there could be some unintended negative consequences including increased clinician burnout due to screen fatigue, potential loss of information due to the limitations of the medium, difficulty discussing sensitive issues and impacts on patient-clinician relationship, empathy, and compassion. In this perspective, we discuss some of the positives and potential negatives of telehealth and highlight some considerations that could guide the choice of media. We submit that for telehealth to become a sustainable solution that is widely applied, it is important to take these issues into consideration in both research and implementation of telehealth solutions.

What makes difficult decisions so difficult?: An activity theory analysis of decision making for physicians treating children with medical complexity.

OBJECTIVE: Shared Decision-Making (SDM) has been advocated as an ideal model of decision-making in the medical encounter. Much of the research into SDM has focused on measuring if SDM is happening, or facilitating SDM by developing specific models and tools. Understanding SDM as an activity in context, has remained mostly absent from the research. This study sought to garner details on the actions, judgements and motives that comprise the activity of making a decision, in the context of a shared process between physicians and families of Children with Medical Complexity (CMC). METHODS: 11 physicians who treat CMC were interviewed. Activity Theory framework was employed to understand the complexity of the decision-making process in context. RESULTS: Ambiguous information, conflicting rules, and beliefs on roles all contribute to the difficulty of decision-making. A decision is achieved by allocating the decision to one party. CONCLUSION: Lack of tools, rules or beliefs that would assist sharing the decision between the physician and patient/family, contributes to the need to allocate the decision to one party. PRACTICE IMPLICATION: In developing SDM policies and tools, one must consider all aspects of the SDM activity system, and how they influence each other and the activity as a whole.

Beyond TAM and UTAUT: Future directions for HIT implementation research.

The Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) have been used widely in studies of health information technology (HIT) implementation. However, TAM and UTAUT have also been criticized for being overly simplistic (TAM) and for taking a narrow perspective, which focuses only on individual adopters' beliefs, perceptions and usage intention. Furthermore, with thousands of studies using these theories, their contribution to knowledge has reached a plateau. In this commentary, we discuss some of the criticism of TAM and UTAUT, and argue that biomedical informatics research would benefit from shifting attention from these theories to multi-dimensional approaches that can better capture the complexity of issues surrounding implementation and use of HIT. We propose a number of future undertakings which, in our opinion, are more likely to move the field forward.

Evaluating a post-implementation electronic medical record training intervention for diabetes management in primary care.

OBJECTIVE: This study evaluated the potential for electronic medical record (EMR) video tutorials to improve diabetes (type 1 and 2) care processes by primary care physicians (PCP) using OSCAR EMR. DESIGN: A QUAN(qual) mixed methods approach with an embedded design was used for the overall research study. EMR video tutorials were developed based on the chronic care model (CCM), value-adding EMR use, best practice guidelines for designing software video tutorials and clinician-led EMR training. RESULTS: In total, 18 PCPs from British Columbia, Canada, participated in the study. The video EMR intervention elicited a statistically significant increase in EMR advanced feature use for diabetes care, with a large effect size (ie, F(1,51)=6.808, p<0.001, partial η2=0.286). CONCLUSION: This small-scale efficacy study demonstrates the potential of CCM-based EMR video tutorials to improve EMR use for chronic diseases, such as diabetes. A larger-scale effectiveness study with a control group is needed to further validate the study findings and determine their generalisability. The demonstrated efficacy of the intervention suggests that EMR video tutorials may be a cost-effective, sustainable and scalable strategy for supporting EMR optimisation and the continuous learning and development of PCPs. Health informatics practitioners may develop video tutorials for their respective EMR/electronic health record software based on theory and best practices for video tutorial design. For patients, EMR video tutorials may lead to improved tracking of processes of care for diabetes, and potentially other chronic conditions.

Educational approaches for improving physicians' use of health information technology.

The benefits of Health Information Technology (HIT) depend on the way they are being used. Education and training are often needed to move from basic to advanced, value-adding, use. In this article, we describe three educational approaches that can help in achieving this goal: "productive failure," video tutorials, and simulation. We describe the rationale behind these approaches, their strengths, and limitations and illustrate their application, respectively, to three problems associated with the use of HIT in clinical practice: improving data quality within Electronic Medical Records (EMRs) at the point of data entry, use of advanced EMR features for chronic disease management, and impact of the EMR on patient-clinician communication. We conclude that, while these approaches are promising, there is a need for innovation and diversity of educational approaches to address use of advanced HIT features, identified challenges with HIT, and usage in context-as well as for rigorous evaluation.

Tools for Engaging Patients on Patient Platforms: A Classification Framework.

This paper outlines a framework for identifying and classifying different types of patient engagement tools, available on online patient platforms, according to the flow of information and patient engagement concepts. We demonstrate the application of the framework using data collected from a purposive sample of eleven patient platforms, stratified by various attributes (for-profit/not-for-profit, single/multiple conditions, different conditions). This framework can help health care organizations in better understanding the processes supported by various tools, and thereby determining better ways to engage patients using web-based Platforms.

Design for a Canadian Digital Health Policy & Practices Observatory.

Canada has struggled to make digital health a reality. We identified 6 key issues that appear to impede progress: 1) an inability to coordinate the actions of a rapidly evolving set of stakeholders, 2) patients who lack the ability and resources to play a meaningful role in health system decision-making, 3) world-class innovation that doesn't reach the market, 4) an inability to kick-start interoperability projects that can catalyze system transformation, 5) an inability to procure early-stage innovative technologies at scale, and 6) an inability to share data seamlessly across organizational silos for patient coordination and care, health system management and research. We propose a set of policies and practices that can help Canada assess, monitor and provide feedback to stakeholders and citizens on how well they are progressing toward seamless digital health.

Online distribution channel increases article usage on Mendeley: a randomized controlled trial.

Prior research shows that article reader counts (i.e. saves) on the online reference manager, Mendeley, correlate to future citations. There are currently no evidenced-based distribution strategies that have been shown to increase article saves on Mendeley. We conducted a 4-week randomized controlled trial to examine how promotion of article links in a novel online cross-publisher distribution channel (TrendMD) affect article saves on Mendeley. Four hundred articles published in the Journal of Medical Internet Research were randomized to either the TrendMD arm (n = 200) or the control arm (n = 200) of the study. Our primary outcome compares the 4-week mean Mendeley saves of articles randomized to TrendMD versus control. Articles randomized to TrendMD showed a 77% increase in article saves on Mendeley relative to control. The difference in mean Mendeley saves for TrendMD articles versus control was 2.7, 95% CI (2.63, 2.77), and statistically significant (p < 0.01). There was a positive correlation between pageviews driven by TrendMD and article saves on Mendeley (Spearman's rho r = 0.60). This is the first randomized controlled trial to show how an online cross-publisher distribution channel (TrendMD) enhances article saves on Mendeley. While replication and further study are needed, these data suggest that cross-publisher article recommendations via TrendMD may enhance citations of scholarly articles.

Mobile Apps for Eye Care in Canada: An Analysis of the iTunes Store.

BACKGROUND: Mobile phone screens can facilitate stimulation to various components of the visual system and many mobile apps are accepted as a means of providing clinical assessments for the oculo-visual system. Although many of these apps are intended for use in clinical settings, there is a growing number of apps in eye care developed for self-tests and eye exercises for lay people. These and other features, however, have not yet been well described. OBJECTIVE: Our objective was to identify, describe, and categorize mobile apps related to eye care that are available to users in the Canadian iTunes market. METHODS: We conducted an extensive search of the Apple iTunes Store for apps related to eye care. We used the terms "eye," "eye care," "vision," and "eye test" and included apps that are targeted at both lay people and medical professionals. We excluded apps whose primary function is not related to eye care. Eligible apps were categorized by primary purpose, based on how they were described by their developers in the iTunes Store. RESULTS: Our search yielded 10,657 apps, of which 427 met our inclusion criteria. After removing duplicates, 355 unique apps were subject to further review. We assigned the eligible apps to three distinct categories: 39/355 apps (11.0%) were intended for use by medical professionals, 236 apps (66.5%, 236/355) were intended for use by lay people, and 80 apps (22.5%, 80/355) were intended for marketing eye care and eye-care products. We identified 9 subcategories of apps based on the descriptions of their primary functions. Apps for medical professionals fell into three subcategories: clinical calculators (n=6), clinical diagnostic tools (n=18), and education and networking apps for professionals (n=15). Apps for lay people fell into four subcategories: self-testing (n=153), eye exercises (n=30), patient tools and low vision aids (n=35), and apps for patient education (n=18). Mixed-use apps (n=80) were placed into two subcategories: marketing of individual practitioners or eye-care products (n=72) and marketing of multiple eye-care products or professional services. CONCLUSIONS: The most extensive subcategory pertaining to eye care consisted of apps for use by lay people, especially for conducting self-tests (n=236). This study revealed a previously uncharacterized category of apps intended for use by doctors and patients, of which the primary goal is marketing of eye-care services and products (n=80).

Towards Educational Electronic Health Records (EHRs): A Design Process for Integrating EHRs, Simulation, and Video Tutorials.

Electronic health records (EHRs) are becoming ubiquitous in healthcare practice. However, their use in medical education has been slower to catch on and a new category of EHRs is beginning to emerge known as eduEHRs. These systems allow learners to explore and experiment with EHRs in the context of medical education. However, current eduEHRs have limitations, such as a lack of dynamic interaction built-in that would mimic real-world use of these tools. To overcome this, the integration of eduEHRs with software and tools such as video simulations and tutorials has considerable promise. In this paper we describe a new design process for integrating EHRs, simulations, and video tutorials.

Computers in the clinical encounter: a scoping review and thematic analysis.

OBJECTIVE: Patient-clinician communication has been associated with increased patient satisfaction, trust in the clinician, adherence to prescribed therapy, and various health outcomes. The impact of health information technology (HIT) on the clinical encounter in general and patient-clinician communication in particular is a growing concern. The purpose of this study was to review the current literature on HIT use during the clinical encounter to update best practices and inform the continuous development of HIT policies and educational interventions. METHODS: We conducted a literature search of four databases. After removing duplicates, reviewing titles and abstracts, performing a full-text review, and snowballing from references and citations, 51 articles were included in the analysis. We employed a qualitative thematic analysis to compare and contrast the findings across studies. RESULTS: Our analysis revealed that the use of HIT affects consultations in complex ways, impacting eye contact and gaze, information sharing, building relationships, and pauses in the conversation. Whether these impacts are positive or negative largely depends on the combination of consultation room layout, patient and clinician styles of interaction with HIT as well as each other, and the strategies and techniques employed by clinicians to integrate HIT into consultations. DISCUSSION: The in-depth insights into the impact of HIT on the clinical encounter, especially the strategies and techniques employed by clinicians to adapt to using HIT in consultations, can inform policies, educational interventions, and research. CONCLUSION: In contrast to the common negative views of HIT, it affects the clinical encounter in multiple ways. By applying identified strategies and best practices, HIT can support patient-clinician interactions rather than interfering with them.

A Pilot Study of Computer-Based Simulation Training for Enhancing Family Medicine Residents' Competence in Computerized Settings.

We previously developed a prototype computer-based simulation to teach residents how to integrate better EMR use in the patient-physician interaction. To evaluate the prototype, we conducted usability tests with three non-clinician students, followed by a pilot study with 16 family medicine residents. The pilot study included pre- and post-test surveys of competencies and attitudes related to using the EMR in the consultation and the acceptability of the simulation, as well as 'think aloud' observations. After using the simulation prototypes, the mean scores for competencies and attitudes improved from 14.88/20 to 15.63/20 and from 22.25/30 to 23.13/30, respectively; however, only the difference for competencies was significant (paired t-test; t=-2.535, p=0.023). Mean scores for perceived usefulness and ease of use of the simulation were good (3.81 and 4.10 on a 5-point scale, respectively). Issues identified in usability testing include confusing interaction with some features, preferences for a more interactive representation of the EMR, and more options for shared decision making. In conclusion, computer-based simulation may be an effective and acceptable tool for teaching residents how to better use EMRs in clinical encounters.