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Background: Poor medication adherence is common; however, few mechanisms exist in clinical practice to monitor how patients take medications in outpatient settings. Objective: This study aimed to pilot test the Electronic Medication Complete Communication (EMC2) strategy, a low-cost, sustainable approach that uses functionalities within the electronic health record to promote outpatient medication adherence and safety. Methods: The EMC2 strategy was implemented in 2 academic practices for 14 higher-risk diabetes medications. The strategy included: (1) clinical decision support alerts to prompt provider counseling on medication risks, (2) low-literacy medication summaries for patients, (3) a portal-based questionnaire to monitor outpatient m.
Background: Mindfulness-based cognitive therapy (MBCT) is an evidence-based group-based psychological treatment in oncology, resulting in reduction of depressive and anxiety symptoms. Internet-based MBCT (eMBCT) has been found to be an effective alternative for MBCT. The therapeutic alliance (the bond between therapist and patient,) is known to have a significant impact on psychological treatment outcomes, including MBCT. A primary concern in the practice of eMBCT is whether a good therapeutic alliance can develop. Although evidence for the beneficial effect of therapist assistance on treatment outcome in internet-based interventions (IBIs) is accumulating, it is still unclear whether the therapeutic alliance is related to outcome in IBIs.
Background: A self-administered Web-based intervention was developed to help carers of persons with Alzheimer disease and related dementias (ADRD) and multiple chronic conditions (MCC) deal with the significant transitions they experience. The intervention, My Tools 4 Care (MT4C), was evaluated during a pragmatic mixed-methods randomized controlled trial with 199 carers. Those in the intervention group received free, password-protected access to MT4C for 3 months. MT4C was found to increase hope in participants at 3 months compared with the control group. However, in the intervention group, 22% (20/92) did not use MT4C at all during the 3-month period. Objective: This mixed-methods secondary analysis aimed to (1) examine differences at 3 mo.
Background: Poor quality primary health care is a major issue in China, particularly in blindness prevention. Artificial intelligence (AI) could provide early screening and accurate auxiliary diagnosis to improve primary care services and reduce unnecessary referrals, but the application of AI in medical settings is still an emerging field. Objective: This study aimed to investigate the general public’s acceptance of ophthalmic AI devices, with reference to those already used in China, and the interrelated influencing factors that shape people’s intention to use these devices. Methods: We proposed a model of ophthalmic AI acceptance based on technology acceptance theories and variables from other health care–related studies. The model was v.
Background: Hospitalized older adults often experience isolation and disorientation while receiving care, placing them at risk for many inpatient complications, including loneliness, depression, delirium, and falls. Embodied conversational agents (ECAs) are technological entities that can interact with people through spoken conversation. Some ECAs are also relational agents, which build and maintain socioemotional relationships with people across multiple interactions. This study utilized a novel form of relational ECA, provided by Care Coach (care.coach, inc): an animated animal avatar on a tablet device, monitored and controlled by live health advocates. The ECA implemented algorithm-based clinical protocols for hospitalized older adults,
Background: Web-based interventions are promising tools for increasing the understanding of illness and treatment among patients with serious mental disorders. Methods: A single-blind, parallel, quasi-experimental cluster study over a 6-month period comparing Web-based education (n=33) with a nonequivalent control group (treatment as usual, n=24) for people with schizophrenia spectrum disorder was conducted. Participants (N=57) were recruited from 1 psychiatric hospital (6 wards). Feasibility was assessed by participants’ commitment (refusal rate, dropout rate) to the study. Acceptability was assessed as participants’ commitment to the intervention. Patient education sessions and website feedback were assessed by the patients and health car.
Background: Changing health behaviors, such as smoking, unhealthy eating, inactivity, and alcohol abuse, may have a greater impact on population health than any curative strategy. One of the suggested strategies is the use of behavioral intervention technologies (BITs). They open up new opportunities in the area of prevention and therapy and have begun to show benefits in the durable change of health behaviors in patients or those at risk. A consensual and international paradigm was adopted by health authorities for drugs 50 years ago. It guides their development from research units to their authorization and surveillance. BITs’ generalization brings into question their upstream evaluation before being placed on the market and their downstr.
Background: Ethnic minority populations exhibit disproportionately high rates of type 2 diabetes mellitus (T2DM). Electronic health tools have the potential to facilitate the cultural adaptation and tailoring of T2DM education to improve the knowledge and management of diabetes mellitus (DM). Objective: This study aimed (1) to develop an adaptable Interactive Lifestyle Assessment, Counseling, and Education (I-ACE) software to support dietitian-delivered lifestyle counseling among low-socioeconomic status (SES) ethnic minority patients with T2DM and (2) to evaluate its effect on DM-related dietary knowledge and management compared with standard lifestyle advice (SLA) in a randomized controlled trial (RCT). Methods: The I-ACE software, develo.
Health care systems worldwide have been influenced by the globally growing trend toward a sharing economy and will likely advance with these trends in the near future. Therefore, based on peer-to-peer relationships between individuals, sharing health care works by renting medical staff, facilities, and other medical resources. Medical data innovation, integration, analysis, and sharing have the potential to dramatically change the current pattern of the health care system and to provide precise and predictive medical assessment for individuals in the future. In addition, artificial intelligence could be useful in the fields of both clinical medicine and medical research and help to minimize the scarcity of human resources and broaden the ro.
Background: Digital innovations continue to shape health and health care. As technology socially integrates into daily living, the lives of health care consumers are transformed into a key source of health information, commonly referred to as patient-generated health data (PGHD). With chronic disease prevalence signaling the need for a refocus on primary prevention, electronic PGHD might be essential in strengthening proactive and person-centered health care. Objective: This study aimed to review and synthesize the existing literature on the utilization and implications of electronic PGHD for primary disease prevention and health promotion purposes. Methods: Guided by a well-accepted methodological framework for scoping studies, we screened.
Background: Coping with behavioral changes is a daily challenge for family caregivers in all phases of dementia, and assistance is needed for it. An online self-management support intervention was therefore developed and conducted involving the following elements: (1) email contact with a specialized dementia nurse, (2) online videos, and (3) e-bulletins containing information about behavior changes and how to manage them. Objective: The aim of this study was to understand (1) family caregivers’ actual use of various elements of the online self-management support, (2) family caregivers’ evaluation and satisfaction with the various elements, and (3) nurses’ usage and evaluations of the online support through the tailored email contacts. Meth.
Background: In a clinical trial, internet-based cognitive behavioral therapy (I-CBT) embedded in stepped care was established as noninferior to face-to-face (f2f) cognitive behavioral therapy (CBT) for chronic fatigue syndrome (CFS). However, treatment effects observed in clinical trials may not necessarily be retained after implementation. Objective: This study aimed to investigate whether stepped care for CFS starting with I-CBT, followed by f2f CBT, if needed, was also effective in routine clinical care. Another objective was to explore the role of therapists’ attitudes toward electronic health (eHealth) and manualized treatment on treatment outcome. Methods: I-CBT was implemented in 5 mental health care centers (MHCs) with 9 treatment s.
Background: The use of mobile health (mHealth) technologies to improve population-level health outcomes around the world has surged in the last decade. Research supports the use of mHealth apps to improve health outcomes such as maternal and infant mortality, treatment adherence, immunization rates, and prevention of communicable diseases. However, developing countries face significant barriers to successfully implement, sustain, and expand mHealth initiatives to improve the health of vulnerable populations. Objective: We aimed to identify and synthesize barriers to the use of mHealth technologies such as text messaging (short message service [SMS]), calls, and apps to change and, where possible, improve the health behaviors and health outc.
Background: Behavioral interventions can meaningfully improve cardiometabolic conditions. Digital therapeutics (DTxs) delivering these interventions may provide benefits comparable to pharmacologic therapies, displacing medications for some patients. Objective: Our objective was to estimate the economic impact of a digital behavioral intervention in type 2 diabetes mellitus (T2DM) and hypertension (HTN) and estimate the impact of clinical inertia to deprescribing medications. Methods: Decision analytic models estimated health resource savings and cost effectiveness from a US commercial payer perspective. A 3-year time horizon was most relevant to the intervention and payer. Effectiveness of the DTx in improving clinical outcomes was based o.
Background: Zambia is still experiencing a severe shortage of health workers, which is impacting the national health care system. Very few people are trained, educational infrastructure is inadequate, and senior human resources for training are not yet sufficient to produce the number of health care workers needed, especially for currently underserved rural areas. Therefore, to strengthen the medical education program of medical licentiates, we implemented a tablet-based electronic learning platform (e-platform) with a medical decision-support component. Objective: As the primary objective, this study aimed to explore the acceptance and information system (IS) success of an e-platform focused on offline-based tablet usage for nonphysician c.
Background: Social media (SM) platforms play a vital role in the dissemination of health information. However, evidence suggests that a high proportion of Twitter posts (ie, tweets) are not necessarily accurate, and many studies suggest that tweets do not need to be accurate, or at least evidence based, to receive traction. This is a dangerous combination in the sphere of health information. Objective: The first objective of this study is to examine health-related tweets originating from Saudi Arabia in terms of their accuracy. The second objective is to find factors that relate to the accuracy and dissemination of these tweets, thereby enabling the identification of ways to enhance the dissemination of accurate tweets. The initial findings.
Background: Many health care organizations around the world have implemented health information technologies (ITs) to enhance health service efficiency, effectiveness, and safety. Studies have demonstrated that promising outcomes of health IT initiatives can be obtained when patients and family members participate and engage in the adoption, use, and evaluation of these technologies. Despite knowing this, there is a lack of health care organizations using patient and family engagement strategies to enhance the use and adoption of health ITs, specifically. Objective: This study aimed to answer the following 3 research questions (RQs): (1) what current frameworks or theories have been used to guide patient and family engagement in health IT a.

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