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BACKGROUND: Older adults are a high priority for telemedicine given their elevated COVID-19 risk and need for frequent provider contact to manage chronic illnesses. It seems that many older adults now use smartphones but few studies have examined their overall readiness for telemedicine. OBJECTIVE: The aim of this study is to survey older primary care patients about their telemedicine preparedness, including internet usage, internet-capable devices, telemedicine experiences and concerns, and perceived barriers. Results were used to inform a telemedicine preparedness training program. METHODS: Community-dwelling older adult patients (aged 65-81 years; N=30) with a chronic health condition that could be managed remotely who were present at a family medicine clinic that primarily serves an urban African American population for a prescheduled in-person appointment were asked to complete a brief survey written for this study. Data were collected February-June 2021 at a large, urban, Midwestern hospital. To minimize patient burden, the survey was limited to 10 questions, focused on the most critical topics. RESULTS: Most participants (21/30, 70%) reported having a device that could be used for telemedicine and using the internet. However, about half had only a single connected device, and messaging and video calling were the most commonly used applications. Few used email and none used online shopping or banking. Only 7 patients had had telemedicine appointments. Telemedicine users were younger than nonusers and used more internet functions than nonusers. Only 2 people reported problems with their telemedicine visits (technology and privacy). Nearly all respondents recognized avoiding travel and COVID-19 exposure as telemedicine benefits. The most common concerns were loss of the doctor-patient connection and inability to be examined. CONCLUSIONS: Most older adults reported having devices that could be used for telemedicine, but their internet use patterns did not confirm the adequacy of their devices or skills for telemedicine. Doctor-patient conversations could be helpful in addressing telemedicine concerns but device and skill gaps must be addressed as well.
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Over the last several years, there has been rapid growth of digital technologies attempting to transform healthcare. Unique features of digital medicine technology lead to both challenges and opportunities for testing and validation. Yet little guidance exists to help a health system decide whether to undertake a pilot test of new technology, move right to full-scale adoption or start somewhere in between. To navigate this complexity, this paper proposes an algorithm to help choose the best path toward validation and adoption. Special attention is paid to considering whether the needs of patients with limited digital skills, equipment (e.g., smart-phones) and connectivity (e.g., data plans) have been considered in technology development and deployment. The algorithm reflects the collective experience of 20+ health systems and academic institutions that have established the Network of Digital Evidence for Health, NODE. Health, plus insights from existing clinical research taxonomies, syntheses or frameworks for assessing technology or for reporting clinical trials.
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This case explores a fictitious hospital's use of co-creation to make a decision about redesign of inpatient units as a first step in incorporating stakeholder input into creation of governing policies. We apply a "procedural fairness" framework to reveal that conditions required for an ethical decision about space redesign were not met by using clinician and patient focus groups to obtain stakeholder input. In this article, we identify epistemic injustices resulting from this process that could undermine confidence in leadership decisions. Suggestions are offered for incorporating stakeholder input going forward that address prior shortcomings. The result should be conditions that are perceived as procedurally fair and decisions that engender confidence in institutional leadership.
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Toma de Decisiones/ética , Planificación Ambiental , Hospitales , Justicia Social , Participación de los Interesados , Planificación Estratégica , Actitud , Grupos Focales , Hospitalización , Humanos , Liderazgo , Principios Morales , OrganizacionesRESUMEN
BACKGROUND: The Network of Digital Evidence (NODE) was formed to further advance the field of health information technology (HIT) and evidence-based digital medicine at different healthcare institutions nationwide. As the NODE network reviewed the state of the field, it was noted that despite substantial financial and human capital investments, the processes and results of HIT innovation seem chaotic and subpar, especially in comparison to the more well-established drug and device industries. During the course of this white paper, we will explore the causes for this observed phenomenon as well as propose possible solutions to improve the state of HIT. METHODS: We compared the entire process of discovery, proof of concept, Food and Drug Administration (FDA) review, and postmarket monitoring and distribution/implementation of HIT innovations to the equivalent processes for drugs and devices. Whereas drug and device innovations are subject to a standardized pipeline of production, HIT innovations are not held to equivalent standards. CONCLUSIONS: As a result, HIT lags behind the more mature drug and device industries in producing effective and reliable products. This leads to an inefficient use of already scarce healthcare resources. The authors believe that the HIT industry must adopt many of the mechanisms implemented by the drug and device industries as dictated by their innovation pipelines of discovery, proof of concept, FDA review, and postmarket monitoring and distribution/implementation. We propose an eight-point plan to fundamentally evolve the HIT lifecycle, including reforms for institutions such as neutral government agencies, new health system boards and management systems, modified incentive structures, improved relationships with financial investors and start-ups, patient engagement, and enhanced mechanisms to improve HIT adoption.
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Type 2 diabetes (T2D) is one of the nation's leading drivers of disability and health care utilization, with elevated prevalence among individuals with lower education, income, and racial/ethnic minorities. Health information technology (HIT) holds vast potential for helping patients, providers, and payers to address T2D and the skyrocketing rates of chronic illness and associated health care costs. Patient portals to electronic health records (EHRs) serve as a gateway to consumer use of HIT. We found that disparities in portal use portend growing T2D disparities. Little progress has been made in addressing identified barriers to technology adoption, especially among populations with elevated risk of T2D. Patients often lack digital literacy skills and continuous connectivity and fear loss of the relationship with providers. Providers may experience structural disincentives to promoting patient use of HIT and apply hidden biases that inhibit portal use. Health care systems often provide inadequate training to patients and providers in use of HIT, and lack resources devoted to obtaining and optimizing use of data generated by HIT. Lastly, technology-related barriers include inadequate consideration of user perspectives, lack of evidence for patient-focused apps, and lack of features to enable providers and health care systems to readily obtain aggregate data to improve care and facilitate research. After discussing these barriers in detail, we propose possible solutions and areas where further research is needed to ensure that individuals and health care systems obtain the full benefit of the nation's planned $38 billion HIT investment. A digital inclusion framework sheds new light on barriers posed for patients with social health inequalities. We have determined that partnerships with community organizations focused on digital inclusion could help health systems explore and study new approaches, such as universal screening and referral of patients for digital skills, health literacy, and Internet connectivity.
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Data on childhood obesity collected by the Centers for Disease Control and Prevention helped reveal the nation's epidemic of overweight and obese children. But more information is needed. Collecting body mass index (BMI)-the widely accepted measurement of childhood weight status-at the state and local levels can be instrumental in identifying and tracking obesity trends, designing interventions to help overweight children, and guiding broader policy solutions. Approximately thirty states have enacted or proposed BMI surveillance laws and regulations. Arkansas stands out as the state with the highest-quality surveillance data. Innovative strategies being pursued in a number of other states should be explored for broader dissemination.
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Política de Salud/tendencias , Promoción de la Salud/métodos , Obesidad/epidemiología , Obesidad/prevención & control , Vigilancia de la Población/métodos , Evaluación de Programas y Proyectos de Salud , Arkansas , Índice de Masa Corporal , Niño , Epidemias , Promoción de la Salud/normas , Humanos , Gobierno Estatal , Estados Unidos/epidemiologíaRESUMEN
Procedures must be developed to ensure that valid informed consent is obtained from participants in HIV vaccine efficacy trials. A prototype informed consent process was evaluated among 4,892 persons at high risk for HIV infection in the HIV Network for Prevention Trials Vaccine Preparedness Study (VPS), a prospective cohort study of HIV seroincidence in eight U.S. metropolitan areas. Twenty percent of VPS participants were selected at random to undergo the prototype informed consent process at VPS month 3. Participants' knowledge of 10 key HIV vaccine trial concepts and willingness to participate in HIV vaccine efficacy trials were assessed and compared at baseline and semiannually thereafter for 18 months. Knowledge of HIV vaccine trial concepts was low at baseline. Participation in the prototype process was associated with substantial and sustained increases in knowledge (relative risks for the 10 items, 1.04-2.26), which were of similar magnitude across HIV risk groups, race/ethnicity, and educational levels. It is recommended that the prototype informed consent process be adopted for future HIV vaccine efficacy trials as well as for clinical trials in other research areas.