Assessing the maturity and performance of the IT function in acute-care hospitals: a configurational view.

This study aims to characterises the maturity of IT management in hospitals, to identify the IT management configurations needed to achieve greater performance and to characterise the organisational and strategic IT contexts in which these configurations evolve. Drawing on survey data from 72 Canadian acute-care hospitals with the CIO as the main respondent, we used a configurational approach to assess the maturity of their IT functions. We classified participating hospitals in two distinct groups, each related to different levels of performance. Hospitals in the first group are characterised by a rather "immature" IT management model and presented low levels of IT performance. Hospitals in the second group showed more maturity in their IT management model and high levels of IT performance. Importantly, both the strategic influence of the CIO and the centrality of IT to the hospital's strategic goals were found to be significantly greater in the mature group.

Codevelopment and Deployment of a System for the Telemonitoring of Activities of Daily Living Among Older Adults Receiving Home Care Services: Protocol for an Action Design Research Study.

BACKGROUND: Telemonitoring of activities of daily living (ADLs) offers significant potential for gaining a deeper insight into the home care needs of older adults experiencing cognitive decline, particularly those living alone. In 2016, our team and a health care institution in Montreal, Quebec, Canada, sought to test this technology to enhance the support provided by home care clinical teams for older adults residing alone and facing cognitive deficits. The Support for Seniors' Autonomy program (SAPA [Soutien à l'autonomie des personnes âgées]) project was initiated within this context, embracing an innovative research approach that combines action research and design science. OBJECTIVE: This paper presents the research protocol for the SAPA project, with the aim of facilitating the replication of similar initiatives in the future. The primary objectives of the SAPA project were to (1) codevelop an ADL telemonitoring system aligned with the requirements of key stakeholders, (2) deploy the system in a real clinical environment to identify specific use cases, and (3) identify factors conducive to its sustained use in a real-world setting. Given the context of the SAPA project, the adoption of an action design research (ADR) approach was deemed crucial. ADR is a framework for crafting practical solutions to intricate problems encountered in a specific organizational context. METHODS: This project consisted of 2 cycles of development (alpha and beta) that involved cyclical repetitions of stages 2 and 3 to develop a telemonitoring system for ADLs. Stakeholders, such as health care managers, clinicians, older adults, and their families, were included in each codevelopment cycle. Qualitative and quantitative data were collected throughout this project. RESULTS: The first iterative cycle, the alpha cycle, took place from early 2016 to mid 2018. The first prototype of an ADL telemonitoring system was deployed in the homes of 4 individuals receiving home care services through a public health institution. The prototype was used to collect data about care recipients' ADL routines. Clinicians used the data to support their home care intervention plan, and the results are presented here. The prototype was successfully deployed and perceived as useful, although obstacles were encountered. Similarly, a second codevelopment cycle (beta cycle) took place in 3 public health institutions from late 2018 to late 2022. The telemonitoring system was installed in 31 care recipients' homes, and detailed results will be presented in future papers. CONCLUSIONS: To our knowledge, this is the first reported ADR project in ADL telemonitoring research that includes 2 iterative cycles of codevelopment and deployment embedded in the real-world clinical settings of a public health system. We discuss the artifacts, generalization of learning, and dissemination generated by this protocol in the hope of providing a concrete and replicable example of research partnerships in the field of digital health in cognitive aging. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/52284.

AI maturity in health care: An overview of 10 OECD countries.

BACKGROUND: Artificial Intelligence (AI) and its applications in health care are on the agenda of policymakers around the world, but a major challenge remains, namely, to set policies that will ensure wide acceptance and capture the value of AI while mitigating associated risks. OBJECTIVE: This study aims to provide an overview of how OECD countries strategize about how to integrate AI into health care and to determine their actual level of AI maturity. METHODS: A scan of government-based AI strategies and initiatives adopted in 10 proactive OECD countries was conducted. Available documentation was analyzed, using the Broadband Commission for Sustainable Development's roadmap to AI maturity as a conceptual framework. RESULTS: The findings reveal that most selected OECD countries are at the Emerging stage (Level 2) of AI in health maturity. Despite considerable funding and a variety of approaches to the development of an AI in health supporting ecosystem, only the United Kingdom and United States have reached the highest level of maturity, an integrated and collaborative AI in health ecosystem (Level 3). CONCLUSION: Despite policymakers looking for opportunities to expedite efforts related to AI, there is no one-size-fits-all approach to ensure the sustainable development and safe use of AI in health. The principles of equifinality and mindfulness must thus guide policymaking in the development of AI in health care.

A Medicoeconomic Evaluation of a Telehealth Platform for Elective Outpatient Surgeries: Protocol for a Randomized Controlled Trial.

BACKGROUND: The number of elective outpatient surgeries in Canada has increased markedly in the last 10 years. However, unanticipated cancellations on the day of surgery and adverse postoperative events are frequent. Modern technologies have been shown to be of great help in the medical field in improving patient care. Thus, it is likely that dedicated technologies could also significantly improve surgical outpatients' pathways. Therefore, the department of anesthesiology at the University of Montreal Medical Center, in collaboration with LeoMed, a telemedicine platform, has developed a telehealth solution to offer more efficient perioperative support and follow-up for patients undergoing ambulatory surgery. OBJECTIVE: The objective is to evaluate the medicoeconomic benefit of a dedicated perioperative telehealth platform for patients undergoing day surgery. Our hypothesis is that this dedicated telecare solution will allow more efficient patient care, which will reduce all types of medical costs related to day surgery pathways. METHODS: This study is a single-center, single-blinded, 2-group randomized controlled trial. One thousand patients aged over 18 years with internet access who are scheduled to undergo ambulatory surgery will be enrolled and randomized either to follow a perioperative path that includes a patient-tailored perioperative digital app via the LeoMed telecare platform for 1 month or to follow the standard of care, which does not offer personalized digital support. The primary outcome will be to evaluate the cost-effectiveness of the telecare platform, assessing direct costs from factors such as unanticipated cancellations on the day of surgery due to preoperative instructions not being followed, calls to the local health information line, calls to the provincial health information line, emergency department consultations, unplanned readmissions, or medical visits for problems related to the surgical procedure within the first 30 days after the intervention. The secondary outcome will be to evaluate cost utility using a questionnaire assessing quality-adjusted life years. A blinded independent research team will analyze outcomes. All data will be analyzed according to the intention-to-treat principle. A sample size of 500 subjects in each group was calculated to detect a 21% reduction in postoperative complications with a power of 90%. This study has been approved by the ethics board of Centre hospitalier de l'Université de Montréal (University of Montreal Health Centre). No employee of LeoMed was involved in the study conception, and none will be involved in either data collection or analysis. RESULTS: Results of this trial will be useful to determine the economic benefit of a telecare platform specifically developed for surgical outpatient pathways. CONCLUSIONS: We believe that the deployment of a dedicated perioperative telehealth app will lead to better patient care and fewer postoperative complications, which will lower all types of costs related to surgical outpatient care. TRIAL REGISTRATION: ClinicalTrials.gov NCT04948632; https://ClinicalTrials.gov/ct2/show/NCT04948632. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44006.

Understanding Prospective Physicians' Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis.

BACKGROUND: Prospective physicians are expected to find artificial intelligence (AI) to be a key technology in their future practice. This transformative change has caught the attention of scientists, educators, and policy makers alike, with substantive efforts dedicated to the selection and delivery of AI topics and competencies in the medical curriculum. Less is known about the behavioral perspective or the necessary and sufficient preconditions for medical students' intention to use AI in the first place. OBJECTIVE: Our study focused on medical students' knowledge, experience, attitude, and beliefs related to AI and aimed to understand whether they are necessary conditions and form sufficient configurations of conditions associated with behavioral intentions to use AI in their future medical practice. METHODS: We administered a 2-staged questionnaire operationalizing the variables of interest (ie, knowledge, experience, attitude, and beliefs related to AI, as well as intention to use AI) and recorded 184 responses at t0 (February 2020, before the COVID-19 pandemic) and 138 responses at t1 (January 2021, during the COVID-19 pandemic). Following established guidelines, we applied necessary condition analysis and fuzzy-set qualitative comparative analysis to analyze the data. RESULTS: Findings from the fuzzy-set qualitative comparative analysis show that the intention to use AI is only observed when students have a strong belief in the role of AI (individually necessary condition); certain AI profiles, that is, combinations of knowledge and experience, attitudes and beliefs, and academic level and gender, are always associated with high intentions to use AI (equifinal and sufficient configurations); and profiles associated with nonhigh intentions cannot be inferred from profiles associated with high intentions (causal asymmetry). CONCLUSIONS: Our work contributes to prior knowledge by showing that a strong belief in the role of AI in the future of medical professions is a necessary condition for behavioral intentions to use AI. Moreover, we suggest that the preparation of medical students should go beyond teaching AI competencies and that educators need to account for the different AI profiles associated with high or nonhigh intentions to adopt AI.

Nature and perceived benefits of patient-initiated consultations in community pharmacies: A population survey.

Background: The role of community pharmacists in enhancing patient care has received increased attention. However, there is a paucity of literature on the nature, frequency, and perceived impacts of patient-initiated consultations in community pharmacies. Objectives: We aim to describe the profile of patients seeking advice from community pharmacists as well as the nature and impact of those consultations. Methods: A survey was conducted with Quebec adults who had consulted a pharmacist in the previous four weeks. Data was collected in 2017 and 1104 agreed to participate (25.3%). Of those, 93 were withdrawn due to incomplete data and 98 failed to meet the inclusion criteria. Sample representativeness was ensured by quota sampling (gender, age) after stratification by region. Results: Among the 913 respondents, 46% had consulted a pharmacist more than once during the four weeks prior to the survey. Individuals with a university degree consulted less often than those without (1.97 vs. 2.17 times; t = 2.0; p < .05) and participants with one or several chronic diseases consulted more frequently than those having no chronic disease (2.18 vs. 1.94 times; t = 5.7; p < .05). Older adults (55+) consulted more often for themselves compared to younger (18-34) and middle-aged (35-54) adults (1.53 vs. 1.31 vs. 1.44 times; F = 4.0; p < .05). Concerning the consultations, 58% were related to medications and 33% to health problems. In terms of impacts, 81% of consultations were perceived to have prevented the use of other healthcare resources. Patient satisfaction with their consultations was high with an average score of 8.75 on a 10-point scale (SD = 1.63). Conclusions: Findings reveal that the reasons for consulting a community pharmacist are diverse, most being related to medications or health issues. Patients reported that pharmacists were able to manage most consultations without referring them to other health care resources or professionals, and their satisfaction with their consultation was high. MeSH terms: Community pharmacy; counselling; patient satisfaction; primary health care; surveys and questionnaires.

Medical students' intention to integrate digital health into their medical practice: A pre-peri COVID-19 survey study in Canada.

Objective: We aimed to explore the factors that influence medical students' intention to integrate dHealth technologies in their practice and analyze the influence of the COVID-19 pandemic on their perceptions and intention. Methods: We conducted a two-phased survey study at the University of Montreal's medical school in Canada. The study population consisted of 1367 medical students. The survey questionnaire was administered in two phases, that is, an initial survey (t0) in February 2020, before the Covid-19 pandemic, and a replication survey (t1) in January 2021, during the pandemic. Component-based structural equation modeling (SEM) was used to test seven research hypotheses. Results: A total of 184 students responded to the survey at t0 (13%), whereas 138 responded to the survey at t1 (10%). Findings reveal that students, especially those who are in their preclinical years, had little occasion to experiment with dHealth technologies during their degree. This lack of exposure may explain why a vast majority felt that dHealth should be integrated into medical education. Most respondents declared an intention to integrate dHealth, including AI-based tools, into their future medical practice. One of the most salient differences observed between t0 and t1 brings telemedicine to the forefront of medical education. SEM results confirm the explanatory power of the proposed research model. Conclusions: The present study unveils the specific dHealth technologies that could be integrated into existing medical curricula. Formal training would increase students' competencies with these technologies which, in turn, could ease their adoption and effective use in their practice.

Nurse practitioners' involvement and experience with AI-based health technologies: A systematic review.

BACKGROUND: Artificial intelligence (AI) is emerging in healthcare in various forms, including AI-based clinical decision support systems, machine learning, computer vision, natural language processing, big data analytics and AI-enhanced robotics. Given their potential impact on clinical processes and decision-making, AI-based health technologies (AIHT) are now seen to have a transformative effect on the nursing and medical professions, and on advanced nursing practice in particular. AIMS: While nurse practitioners (NPs) are increasingly called upon to play a crucial role in improving the healthcare provided to the population, little is known about the nature, extent and outcomes of their involvement and experience with AIHT. This study's research objectives are twofold. First, it aims to characterize NPs' involvement and experience with AIHT in terms of the functional and clinical attributes of the AIHT-based systems and applications that have emerged in advanced nursing care settings, and of the clinical tasks of NPs targeted for support by these systems and applications. Second, it aims to characterize this involvement and experience with AIHT in terms of its expected impacts on the clinical activities and performance of NPs, and of its potential outcomes for NPs' patients and for the general population. METHOD: We thus contribute to advanced practice nursing research by carrying out an initial evaluation of the role played by NPs in the emergence of these technologies, by means of a systematic review of the literature. FINDINGS: This review demonstrates that NPs, acting alone or in collaboration with physicians and other healthcare professionals, participate in the development and evaluation of various AI-based decision-making and predictive tools in primary, hospital and emergency care settings. This participation involves NPs as diagnostic and therapeutic experts whose clinical activities, decision-making and performance can be significantly impacted by their adoption and assimilation of AIHT.

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.

Assimilation of Medical Appointment Scheduling Systems and Their Impact on the Accessibility of Primary Care: Mixed Methods Study.

BACKGROUND: The COVID-19 pandemic has prompted the adoption of digital health technologies to maximize the accessibility of medical care in primary care settings. Medical appointment scheduling (MAS) systems are among the most essential technologies. Prior studies on MAS systems have taken either a user-oriented perspective, focusing on perceived outcomes such as patient satisfaction, or a technical perspective, focusing on optimizing medical scheduling algorithms. Less attention has been given to the extent to which family medicine practices have assimilated these systems into their daily operations and achieved impacts. OBJECTIVE: This study aimed to fill this gap and provide answers to the following questions: (1) to what extent have primary care practices assimilated MAS systems into their daily operations? (2) what are the impacts of assimilating MAS systems on the accessibility and availability of primary care? and (3) what are the organizational and managerial factors associated with greater assimilation of MAS systems in family medicine clinics? METHODS: A survey study targeting all family medicine clinics in Quebec, Canada, was conducted. The questionnaire was addressed to the individual responsible for managing medical schedules and appointments at these clinics. Following basic descriptive statistics, component-based structural equation modeling was used to empirically explore the causal paths implied in the conceptual framework. A cluster analysis was also performed to complement the causal analysis. As a final step, 6 experts in MAS systems were interviewed. Qualitative data were then coded and extracted using standard content analysis methods. RESULTS: A total of 70 valid questionnaires were collected and analyzed. A large majority of the surveyed clinics had implemented MAS systems, with an average use of 1 or 2 functionalities, mainly "automated appointment confirmation and reminders" and "online appointment confirmation, modification, or cancellation by the patient." More extensive use of MAS systems appears to contribute to improved availability of medical care in these clinics, notwithstanding the effect of their application of advanced access principles. Also, greater integration of MAS systems into the clinic's electronic medical record system led to more extensive use. Our study further indicated that smaller clinics were less likely to undertake such integration and therefore showed less availability of medical care for their patients. Finally, our findings indicated that those clinics that showed a greater adoption rate and that used the provincial MAS system tended to be the highest-performing ones in terms of accessibility and availability of care. CONCLUSIONS: The main contribution of this study lies in the empirical demonstration that greater integration and assimilation of MAS systems in family medicine clinics lead to greater accessibility and availability of care for their patients and the general population. Valuable insight has also been provided on how to identify the clinics that would benefit most from such digital health solutions.

Telehealth in Primary Healthcare: A Portrait of its Rapid Implementation during the COVID-19 Pandemic.

OBJECTIVE: This study documents the adoption of telehealth by various types of primary healthcare (PHC) providers working in teaching PHC clinics in Quebec during the COVID-19 pandemic. It also identifies the perceived advantages and disadvantages of telehealth. METHOD: A cross-sectional study was conducted between May and August 2020. The e-survey was completed by 48/50 teaching primary care clinics representing 603/1,357 (44%) PHC providers. RESULTS: Telephone use increased the most, becoming the principal virtual modality of consultation, during the pandemic. Video consultations increased, with variations by type of PHC provider: between 2% and 16% reported using it "sometimes." The main perceived advantages of telehealth were minimizing the patient's need to travel, improved efficiency and reduction in infection transmission risk. The main disadvantages were the lack of physical exam and difficulties connecting with some patients. CONCLUSION: The variation in telehealth adoption by type of PHC provider may inform strategies to maximize the potential of telehealth and help create guidelines for its use in more normal times.

Effectiveness of Mobile Health Technology Interventions for Patients With Heart Failure: Systematic Review and Meta-analysis.

BACKGROUND: Heart failure (HF) is a complex and serious condition associated with substantial morbidity, mortality, and health care costs. We conducted a systematic review and meta-analysis to evaluate the effects of mobile health (mHealth) interventions compared with usual care in patients with HF. METHODS: We searched MEDLINE, CENTRAL, CINAHL, and EMBASE databases to identify eligible randomized controlled trials (RCTs) of mHealth interventions. Primary outcomes included: all-cause mortality, cardiovascular mortality, HF-related hospitalizations, and all-cause hospitalizations. Meta-analyses using a random effects model were performed for all outcomes. Risk of bias and quality of evidence were evaluated using the Cochrane Tool and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework. RESULTS: Sixteen RCTs involving 4389 patients were included. Compared with usual care, mHealth interventions reduced the risk of all-cause mortality (risk ratio [RR], 0.80; 95% confidence interval [CI], 0.65-0.97; absolute risk reduction [ARR], 2.1%; high-quality evidence), cardiovascular mortality (RR, 0.70; 95% CI, 0.53-0.91; ARR, 2.9%; high-quality evidence), and HF hospitalizations (RR, 0.77; 95% CI, 0.67-0.88; ARR, 5%; high-quality evidence), but had no effect on all-cause hospitalizations. Results were driven by mHealth interventions with remote monitoring and clinical feedback, which were associated with larger reductions than stand-alone mHealth interventions. However, subgroup differences were not statistically significant. CONCLUSIONS: mHealth interventions with remote monitoring and clinical feedback reduce mortality and HF-related hospitalizations, but might not reduce all-cause hospitalizations in patients with HF. Additional studies are needed to determine the efficacy of stand-alone mHealth interventions as well as active features of mHealth that contribute to efficacy.

Patient-initiated consultations in community pharmacies.

BACKGROUND: Mobilizing pharmacists practicing in community pharmacies as a new player in primary care has recently emerged as a cost-effective strategy for clinical consultations related to minor ailments. However, little is known about these consultations initiated by patients. The objectives of this study were to describe patient initiated consultations in community pharmacies, and to estimate the impact of these consultations on care-seeking behaviors of patients. METHODS: A cross sectional study was conducted in 11 retail pharmacies in Quebec, Canada, from October until December 2017, using two data sources: 1) an application and 2) structured interviews. Pharmacists had to compile all consultations in the app during a 4 week-period. Consenting patients were interviewed on the day of the consultation and one week after. Descriptive statistics on the number of consultations were calculated, as well as on the recommendation and the experience of the patient. RESULTS: A total number of 4994 consultations were entered in the app by 55 pharmacists, with an average of 18 consultations (SD = 7) per pharmacy per day. Of the 900 patients consented to participate to the study, 600 (67%) completed the two interviews. Pharmacists reported that they recommended another healthcare resource to patients (e.g. emergency department (ED), walk-in clinic) in only 15% of cases. In the week following the consultation, 105 (18%) patients reported that they avoided going to the ED as a result of the consultation. Patients in rural regions or consulting in a pharmacy far from a medical clinic were more likely to report avoiding an ED visit as a result of the consultation with the pharmacist. CONCLUSIONS: This study suggests that patients are seeking advice from pharmacists for a variety of health care concerns and that pharmacists are able to manage most of these consultations, with a high level of patient satisfaction.

Using Ambient Assisted Living to Monitor Older Adults With Alzheimer Disease: Single-Case Study to Validate the Monitoring Report.

BACKGROUND: Many older adults choose to live independently in their homes for as long as possible, despite psychosocial and medical conditions that compromise their independence in daily living and safety. Faced with unprecedented challenges in allocating resources, home care administrators are increasingly open to using monitoring technologies known as ambient assisted living (AAL) to better support care recipients. To be effective, these technologies should be able to report clinically relevant changes to support decision making at an individual level. OBJECTIVE: The aim of this study is to examine the concurrent validity of AAL monitoring reports and information gathered by care professionals using triangulation. METHODS: This longitudinal single-case study spans over 490 days of monitoring a 90-year-old woman with Alzheimer disease receiving support from local health care services. A clinical nurse in charge of her health and social care was interviewed 3 times during the project. Linear mixed models for repeated measures were used to analyze each daily activity (ie, sleep, outing activities, periods of low mobility, cooking-related activities, hygiene-related activities). Significant changes observed in data from monitoring reports were compared with information gathered by the care professional to explore concurrent validity. RESULTS: Over time, the monitoring reports showed evolving trends in the care recipient's daily activities. Significant activity changes occurred over time regarding sleep, outings, cooking, mobility, and hygiene-related activities. Although the nurse observed some trends, the monitoring reports highlighted information that the nurse had not yet identified. Most trends detected in the monitoring reports were consistent with the clinical information gathered by the nurse. In addition, the AAL system detected changes in daily trends following an intervention specific to meal preparation. CONCLUSIONS: Overall, trends identified by AAL monitoring are consistent with clinical reports. They help answer the nurse's questions and help the nurse develop interventions to maintain the care recipient at home. These findings suggest the vast potential of AAL technologies to support health care services and aging in place by providing valid and clinically relevant information over time regarding activities of daily living. Such data are essential when other sources yield incomplete information for decision making.

Investigating Patients' Intention to Continue Using Teleconsultation to Anticipate Postcrisis Momentum: Survey Study.

BACKGROUND: The COVID-19 crisis has drastically changed care delivery with teleconsultation platforms experiencing substantial spikes in demand, helping patients and care providers avoid infections and maintain health care services. Beyond the current pandemic, teleconsultation is considered a significant opportunity to address persistent health system challenges, including accessibility, continuity, and cost of care, while ensuring quality. OBJECTIVE: This study aims at identifying the determinants of patients' intention to continue using a teleconsultation platform. It extends prior research on information technology use continuance intention and teleconsultation services. METHODS: Data was collected in November 2018 and May 2019 with Canadian patients who had access to a teleconsultation platform. Measures included patients' intention to continue their use; teleconsultation usefulness; teleconsultation quality; patients' trust toward the digital platform, its provider. and health care professionals; and confirmation of patients' expectations toward teleconsultation. We used structural equation modeling employing the partial least squares component-based technique to test our research model and hypotheses. RESULTS: We analyzed a sample of 178 participants who had used teleconsultation services. Our findings revealed that confirmation of expectations had the greatest influence on continuance intention (total effects=0.722; P<.001), followed by usefulness (total effects=0.587; P<.001) and quality (total effects=0.511; P<.001). Usefulness (ß=.60; P<.001) and quality (ß=.34; P=.01) had direct effects on the dependent variable. The confirmation of expectations had direct effects both on usefulness (ß=.56; P<.001) and quality (ß=.75; P<.001) in addition to having an indirect effect on usefulness (indirect effects=0.282; P<.001). Last, quality directly influenced usefulness (ß=.34; P=.002) and trust (ß=.88; P<.001). Trust does not play a role in the context under study. CONCLUSIONS: Teleconsultation is central to care going forward, and it represents a significant lever for an improved, digital delivery of health care in the future. We believe that our findings will help drive long-term teleconsultation adoption and use, including in the aftermath of the current COVID-19 crisis, so that general care improvement and greater preparedness for exceptional situations can be achieved.

Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey.

BACKGROUND: The burden of population aging and chronic conditions has been reported worldwide. Older adults, especially those with high needs, experience social isolation and have high rates of emergency visits and limited satisfaction with the care they receive. Mobile health (mHealth) technologies present opportunities to address these challenges. To date, limited information is available on Canadian older adults' attitudes toward and use of mHealth technologies for self-tracking purposes-an area that is increasingly important and relevant during the COVID-19 era. OBJECTIVE: This study presents contributions to an underresearched area on older adults and mHealth technology use. The aim of this study was to compare older adults' use of mHealth technologies to that of the general adult population in Canada and to investigate the factors that affect their use. METHODS: A cross-sectional survey on mHealth and digital self-tracking was conducted. A web-based questionnaire was administered to a national sample of 4109 Canadian residents who spoke either English or French. The survey instrument consisted of 3 sections assessing the following items: (1) demographic characteristics, health status, and comorbidities; (2) familiarity with and use of mHealth technologies (ie, mobile apps, consumer smart devices/wearables such as vital signs monitors, bathroom scales, fitness trackers, intelligent clothing); and (3) factors influencing the continued use of mHealth technologies. RESULTS: Significant differences were observed between the older adults and the general adult population in the use of smart technologies and internet (P<.001). Approximately 47.4% (323/682) of the older adults in the community reported using smartphones and 49.8% (340/682) indicated using digital tablets. Only 19.6% (91/463) of the older adults using smartphones/digital tablets reported downloading mobile apps, and 12.3% (47/383) of the older adults who heard of smart devices/wearables indicated using them. The majority of the mobile apps downloaded by older adults was health-related; interestingly, their use was sustained over a longer period of time (P=.007) by the older adults compared to that by the general population. Approximately 62.7% (428/682) of the older adults reported tracking their health measures, but the majority did so manually. Older adults with one or more chronic conditions were mostly nontrackers (odds ratio 0.439 and 0.431 for traditional trackers and digital trackers, respectively). No significant differences were observed between the older adults and the general adult population with regard to satisfaction with mHealth technologies and their intention to continue using them. CONCLUSIONS: Leveraging mHealth technologies in partnership with health care providers and sharing of health/well-being data with health care professionals and family members remain very limited. A culture shift in the provision of care to older adults is deemed necessary to keep up with the development of mHealth technologies and the changing demographics and expectations of patients and their caregivers.

Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis.

BACKGROUND: Unhealthy behaviors, such as physical inactivity, sedentary lifestyle, and unhealthful eating, remain highly prevalent, posing formidable challenges in efforts to improve cardiovascular health. While traditional interventions to promote healthy lifestyles are both costly and effective, wearable trackers, especially Fitbit devices, can provide a low-cost alternative that may effectively help large numbers of individuals become more physically fit and thereby maintain a good health status. OBJECTIVE: The objectives of this meta-analysis are (1) to assess the effectiveness of interventions that incorporate a Fitbit device for healthy lifestyle outcomes (eg, steps, moderate-to-vigorous physical activity, and weight) and (2) to identify which additional intervention components or study characteristics are the most effective at improving healthy lifestyle outcomes. METHODS: A systematic review was conducted, searching the following databases from 2007 to 2019: MEDLINE, EMBASE, CINAHL, and CENTRAL (Cochrane). Studies were included if (1) they were randomized controlled trials, (2) the intervention involved the use of a Fitbit device, and (3) the reported outcomes were related to healthy lifestyles. The main outcome measures were related to physical activity, sedentary behavior, and weight. All the studies were assessed for risk of bias using Cochrane criteria. A random-effects meta-analysis was conducted to estimate the treatment effect of interventions that included a Fitbit device compared with a control group. We also conducted subgroup analysis and fuzzy-set qualitative comparative analysis (fsQCA) to further disentangle the effects of intervention components. RESULTS: Our final sample comprised 41 articles reporting the results of 37 studies. For Fitbit-based interventions, we found a statistically significant increase in daily step count (mean difference [MD] 950.54, 95% CI 475.89-1425.18; P<.001) and moderate-to-vigorous physical activity (MD 6.16, 95% CI 2.80-9.51; P<.001), a significant decrease in weight (MD -1.48, 95% CI -2.81 to -0.14; P=.03), and a nonsignificant decrease in objectively assessed and self-reported sedentary behavior (MD -10.62, 95% CI -35.50 to 14.27; P=.40 and standardized MD -0.11, 95% CI -0.48 to 0.26; P=.56, respectively). In general, the included studies were at low risk for bias, except for performance bias. Subgroup analysis and fsQCA demonstrated that, in addition to the effects of the Fitbit devices, setting activity goals was the most important intervention component. CONCLUSIONS: The use of Fitbit devices in interventions has the potential to promote healthy lifestyles in terms of physical activity and weight. Fitbit devices may be useful to health professionals for patient monitoring and support. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42019145450; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019145450.

Early clinical management of severe burn patients using telemedicine: a pilot study protocol.

BACKGROUND: Emergency physicians are responsible for assessing the severity of a patient's burns, which determines whether the patient needs to be transferred to a burn center. Such a proper assessment represents a daunting task because severe burn injuries are rare. Inaccurate estimates often result in unjustified and costly transfers and unneeded fluid resuscitation and assisted ventilation procedures. Telemedicine offers a solution to these challenges. The present pilot study aims to investigate the feasibility, acceptability, and potential value of a large telemedicine initiative at the University of Montreal Health Center's burn center and its network of referring hospitals. METHODS: A three-stage study protocol is proposed to achieve this objective. First, a proof of concept phase will assess the technical feasibility of telemedicine at one referring hospital with a high volume of patient transfers. Second, the organizational and human feasibility of the project will be evaluated in four referring medical centers. All teleconsultation sessions will be analyzed using the WHO's telemedicine implementation model. The third phase will consist of evaluating the potential impacts of telemedicine in a subset of 10 referring hospitals. The quality of communications between referring physicians and specialists will be assessed using semi-structured interviews. A pre-test/post-test with a comparison group design will be used to assess the effects of telemedicine on patient transfers, ventilation procedures, patient complications, mortality, length of ICU stay, and additional surgical procedures. The economic viability of telemedicine will be assessed using a cost-minimization approach. DISCUSSION: The telemedicine initiative is expected to yield positive and significant outcomes that are relevant to a wide range of medical centers that already use or are considering using a similar technology. The contribution of this pilot study lies in its ability to reveal technological, organizational, and human barriers and provide a preliminary assessment of the clinical and economic value of a large-scale telemedicine initiative in the context of burn medicine.

Advancing laboratory medicine in hospitals through health information exchange: a survey of specialist physicians in Canada.

BACKGROUND: Laboratory testing occupies a prominent place in health care. Information technology systems have the potential to empower laboratory experts and to enhance the interpretation of test results in order to better support physicians in their quest for better and safer patient care. This study sought to develop a better understanding of which laboratory information exchange (LIE) systems and features specialist physicians are using in hospital settings to consult their patients' laboratory test results, and what benefit they derive from such use. METHODS: As part of a broader research program on the use of health information exchange systems for laboratory medicine in Quebec, Canada, this study was designed as on online survey. Our sample is composed of 566 specialist physicians working in hospital settings, out of the 1512 physicians who responded to the survey (response rate of 17%). Respondents are representative of the targeted population of specialist physicians in terms of gender, age and hospital location. RESULTS: We first observed that 80% of the surveyed physicians used the province-wide interoperable electronic health records (iEHR) system and 93% used a laboratory results viewer (LRV) to consult laboratory test results and most (72%) use both systems to retrieve lab results. Next, our findings reveal important differences in the capabilities available in each type of system and in the use of these capabilities. Third, there are differences in the nature of the perceived benefits obtained from the use of each of these two systems. Last, the extent of use of an LRV is strongly influenced by the IT artefact itself (i.e., the hospital's LRV available capabilities) while the use of the provincial iEHR system is influenced by its organizational context (i.e. the hospital's size and location). CONCLUSIONS: The main contribution of this study lies in its insights into the role played by context in shaping physicians' choices about which laboratory information exchange systems to adopt and which features to use, and the different perceptions they have about benefits arising from such use. One related implication for practice is that success of LIE initiatives should not be solely assessed with basic usage statistics.

Improved Glycemic Control Through the Use of a Telehomecare Program in Patients with Diabetes Treated with Insulin.

Background: With the drastic surge in the prevalence of diabetes, the use of medical resources for management of diabetic patients increased markedly. This study aimed to evaluate the impact of telehomecare (THC) use on clinical efficacy, nursing interventions, and medical visits compared with the standard care in insulin-treated diabetic patients. Materials and Methods: A prospective noninferiority clinical trial was designed. Participants were assigned to either an intervention group provided with a THC system during 3 months or to a control group. Main outcome was the difference in A1c at 3 months compared with baseline. Secondary outcomes were the difference in A1c at 6 months compared with baseline, the number of medical visits during the 6-month period of the study, and nursing interventions during the 3 months on THC. Results: A total of 92 participants completed the study. A significant decrease in A1c levels was observed in the THC group (n = 45) compared with the control group (n = 47) at 3 months (-0.61% vs. -0.06%, respectively, P = 0.048) and at 6 months (-0.37% vs. -0.10%, respectively, P = 0.036). The THC group had an average of 0.6 medical visit compared with 1.0 in the control group (P < 0.001). An increase in nursing interventions (mainly e-mails) was noted in THC group (n = 14.7) compared with control group (n = 1.1). Conclusions: This THC program demonstrates improvement in glycemic control and a decrease in the number of medical visits. However, it is important to consider an additional burden in nursing interventions when implementing a THC program.