Project description:Empowering patients to participate in nutrition care during hospitalisation may improve their dietary intakes and associated outcomes. This study tested the acceptability and feasibility of a technology-based intervention to engage hospital patients in nutrition care at a tertiary teaching hospital in Australia. The hospital used an electronic foodservice system (EFS), by which patients ordered meals via bedside computers. Adults at nutritional risk received the nutrition technology (NUTRI-TEC) intervention, involving nutrition assessment, education on nutrition requirements and training on using the EFS to enter food intakes and monitor nutrition goals. Acceptability was assessed using patient satisfaction and engagement surveys. Feasibility was assessed by evaluating the intervention delivery/fidelity and patient recruitment/retention. Patients' dietary intakes were observed daily to indicate the intervention's effects and assess the accuracy of the patient-recorded intakes. Descriptive and inferential statistics were used to analyse the data. Of the 71 patients recruited, 49 completed the study (55% male; median (IQR) age 71 (65-78) years; length of stay 10 (7-14) days). Patient satisfaction with NUTRI-TEC was high. Intervention delivery and fidelity targets were met but recruitment (≥50%) and retention (≥75%) targets were not; only 31% of patients agreed to participate and 69% completed the study (mostly due to unexpected/early discharge). Patient- and researcher-recorded dietary intakes correlated strongly, indicating patients can record food intakes accurately using technology. This study highlights the important role technology is likely to play in facilitating patient engagement and improving care during hospitalisation.
Project description:BackgroundRecent research has shown a backlash against the enthusiastic promotion of technological solutions as replacements for traditional educational content delivery. Many institutions, including the University of Virginia, have committed staff and resources to supporting state-of-the-art, showpiece educational technology projects. However, the Claude Moore Health Sciences Library has taken the approach of helping Health Sciences faculty be more comfortable using technology in incremental ways for instruction and research presentations. In July 2004, to raise awareness of self-service multimedia resources for instructional and professional development needs, the Library conducted a "Multimedia Bootcamp" for nine Health Sciences faculty and fellows.MethodsCase study.ResultsProgram stewardship by a single Library faculty member contributed to the delivery of an integrated learning experience. The amount of time required to attend the sessions and complete homework was the maximum fellows had to devote to such pursuits. The benefit of introducing technology unfamiliar to most fellows allowed program instructors to start everyone at the same baseline while not appearing to pass judgment on the technology literacy skills of faculty. The combination of wrapping the program in the trappings of a fellowship and selecting fellows who could commit to a majority of scheduled sessions yielded strong commitment from participants as evidenced by high attendance and a 100% rate of assignment completion. Response rates to follow-up evaluation requests, as well as continued use of Media Studio resources and Library expertise for projects begun or conceived during Bootcamp, bode well for the long-term success of this program.ConclusionAn incremental approach to integrating technology with current practices in instruction and presentation provided a supportive yet energizing environment for Health Sciences faculty. Keys to this program were its faculty focus, traditional hands-on instruction, unrestricted access to technology tools and support, and inclusion of criteria for evaluating when multimedia can augment pedagogical aims.
Project description:As the role of technology expands in healthcare, so does the need to support its implementation and integration into the clinic. The concept of a new team member, the digital navigator, able to assume this role is introduced as a solution. With a digital navigator, any clinic today can take advantage of digital health and smartphone tools to augment and expand existing telehealth and face to face care. The role of a digital navigator is suitable as an entry level healthcare role, additional training for an experienced clinician, and well suited to peer specialists. To facilitate the training of digital navigators, we draw upon our experience in creating the role and across health education to introduce a 10-h curriculum designed to train digital navigators across 5 domains: (1) core smartphone skills, (2) basic technology troubleshooting, (3) app evaluation, (4) clinical terminology and data, and (5) engagement techniques. This paper outlines the curricular content, skills, and modules for this training and features a rich online supplementary Appendix with step by step instructions and resources.
Project description:BackgroundSuccessful integrations of machine learning into routine clinical care are exceedingly rare, and barriers to its adoption are poorly characterized in the literature.ObjectiveThis study aims to report a quality improvement effort to integrate a deep learning sepsis detection and management platform, Sepsis Watch, into routine clinical care.MethodsIn 2016, a multidisciplinary team consisting of statisticians, data scientists, data engineers, and clinicians was assembled by the leadership of an academic health system to radically improve the detection and treatment of sepsis. This report of the quality improvement effort follows the learning health system framework to describe the problem assessment, design, development, implementation, and evaluation plan of Sepsis Watch.ResultsSepsis Watch was successfully integrated into routine clinical care and reshaped how local machine learning projects are executed. Frontline clinical staff were highly engaged in the design and development of the workflow, machine learning model, and application. Novel machine learning methods were developed to detect sepsis early, and implementation of the model required robust infrastructure. Significant investment was required to align stakeholders, develop trusting relationships, define roles and responsibilities, and to train frontline staff, leading to the establishment of 3 partnerships with internal and external research groups to evaluate Sepsis Watch.ConclusionsMachine learning models are commonly developed to enhance clinical decision making, but successful integrations of machine learning into routine clinical care are rare. Although there is no playbook for integrating deep learning into clinical care, learnings from the Sepsis Watch integration can inform efforts to develop machine learning technologies at other health care delivery systems.
Project description:BackgroundPatients with language barriers encounter healthcare disparities, which may be alleviated by leveraging interpreter skills to reduce cultural, language, and literacy barriers through improved bidirectional communication. Evidence supports the use of in-person interpreters, especially for interactions involving patients with complex care needs. Unfortunately, due to interpreter shortages and clinician underuse of interpreters, patients with language barriers frequently do not get the language services they need or are entitled to. Health information technologies (HIT), including artificial intelligence (AI), have the potential to streamline processes, prompt clinicians to utilize in-person interpreters, and support prioritization.MethodsFrom May 1, 2023, to June 21, 2024, a single-center stepped wedge cluster randomized trial will be conducted within 35 units of Saint Marys Hospital & Methodist Hospital at Mayo Clinic in Rochester, Minnesota. The units include medical, surgical, trauma, and mixed ICUs and hospital floors that admit acute medical and surgical care patients as well as the emergency department (ED). The transitions between study phases will be initiated at 60-day intervals resulting in a 12-month study period. Units in the control group will receive standard care and rely on clinician initiative to request interpreter services. In the intervention group, the study team will generate a daily list of adult inpatients with language barriers, order the list based on their complexity scores (from highest to lowest), and share it with interpreter services, who will send a secure chat message to the bedside nurse. This engagement will be triggered by a predictive machine-learning algorithm based on a palliative care score, supplemented by other predictors of complexity including length of stay and level of care as well as procedures, events, and clinical notes.DiscussionThis pragmatic clinical trial approach will integrate a predictive machine-learning algorithm into a workflow process and evaluate the effectiveness of the intervention. We will compare the use of in-person interpreters and time to first interpreter use between the control and intervention groups.Trial registrationNCT05860777. May 16, 2023.
Project description:Alzheimer's disease and related dementias (ADRD) often result in communication deficits that can lead to negative health outcomes as well as complications for caregiving and clinical care. Although augmentative and alternative communication (AAC) devices have demonstrated efficacy in assisting persons living with dementia (PLWD) in communicating, few devices offer customization for the person's care preferences (e.g., clothing, food, activities) or are designed for integration into clinical care and caregiving. To address this issue, our research team is developing a novel electronic AAC prototype with a touchscreen to promote communication and personhood for PLWD. The current article describes the development of this technology and uses the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) 2013 Statement to describe the clinical trial that is planned to test its efficacy.TargetsPLWD and their care partners.Intervention descriptionUse of AAC Plus to promote communication and personhood for PLWD.Mechanisms of actionAAC Plus will provide PLWD and care partners a way to communicate PLWD's daily preferences and provide clinical data for health care providers.OutcomesDetermine whether enhanced communication of daily preferences of PLWD will improve quality of life of PLWD and their care partners.Trial registrationClinicalTrials.gov Identifier: NCT04571502 (Date of registration October 1, 2020). [Research in Gerontological Nursing, 14(5), 225-234.].
Project description:Well-developed point-of-care (POC) cancer screening tools have the potential to provide better cancer care to patients in both developed and developing countries. However, new medical technology will not be adopted by medical providers unless it addresses a population's existing needs and end-users' preferences. The goals of our study were to assess primary care providers' level of awareness, interest, and preferences in using POC cancer screening technology in their practice and to provide guidelines to biomedical engineers for future POC technology development. A total of 350 primary care providers completed a one-time self-administered online survey, which took approximately 10 minutes to complete. A $50 Amazon gift card was given as an honorarium for the first 100 respondents to encourage participation. The description of POC cancer screening technology was provided in the beginning of the survey to ensure all participants had a basic understanding of what constitutes POC technology. More than half of the participants (57%) stated that they heard of the term "POC technology" for the first time when they took the survey. However, almost all of the participants (97%) stated they were either "very interested" (68%) or "somewhat interested" (29%) in using POC cancer screening technology in their practice. Demographic characteristics such as the length of being in the practice of medicine, the percentage of patients on Medicaid, and the average number of patients per day were not shown to be associated with the level of interest in using POC. These data show that there is a great interest in POC cancer screening technology utilization among this population of primary care providers and vast room for future investigations to further understand the interest and preferences in using POC cancer technology in practice. Ensuring that the benefits of new technology outweigh the costs will maximize the likelihood it will be used by medical providers and patients.
Project description:BackgroundDespite the widely acknowledged potential for health information technologies to improve the accessibility, quality and clinical safety of mental health care, implementation of such technologies in services is frequently unsuccessful due to varying consumer, health professional, and service-level factors. The objective of this co-design study was to use process mapping (i.e. service mapping) to illustrate the current consumer journey through primary mental health services, identify barriers to and facilitators of quality mental health care, and highlight potential points at which to integrate the technology-enabled solution to optimise the provision of care based on key service performance indicators.MethodsInteractive, discussion-based workshops of up to six hours were conducted with representative stakeholders from each participating service, including health professionals, service managers and administrators from Open Arms - Veterans & Families Counselling Service (Sydney), a counselling service for veterans and their families, and five headspace centres in the North Coast Primary Health Network, primary youth mental health services. Service maps were drafted and refined in real time during the workshops. Through both group discussion and the use of post-it notes, participants worked together to evaluate performance indicators (e.g. safety) at each point in the consumer journey (e.g. intake) to indicate points of impact for the technology-enabled solution, reviewing and evaluating differing opinions in order to reach consensus.ResultsParticipants (n=84 across participating services) created service maps illustrating the current consumer journey through the respective services and highlighting barriers to and facilitators of quality mental health care. By consensus, the technology-enabled solution as facilitated by the InnoWell Platform was noted to enable the early identification of risk, reduce or eliminate lengthy intake processes, enable routine outcome monitoring to revise treatment plans in relation to consumer response, and serve as a personal data record for consumers, driving person-centred, coordinated care.ConclusionsService mapping was shown to be an effective methodology to understand the consumer's journey through a service and served to highlight how the co-designed technology-enabled solution can optimise service pathways to improve the accessibility, quality and clinical safety of care relative to key service performance indicators, facilitating the delivery of the right care.
Project description:This manuscript provides the protocol for a National Institute of Aging-funded cluster randomized clinical trial that focuses on helping nurses in acute care to engage patients with dementia in physical activity while hospitalized using an approach referred to as function-focused care. Physical activity is defined as bodily movement produced by skeletal muscles resulting in the expenditure of energy and includes functional tasks such as bathing and dressing, leisure activity, ambulation, and moderate and vigorous intensity physical activity such as dancing, bike riding, or walking upstairs. The development of Function Focused Care for Acute Care (FFC-AC) was based on the Social Ecological Model and Social Cognitive Theory and includes four steps: (1) Environment and Policy Assessments; (2) Education; (3) Establishing Patient Goals; and (4) Mentoring and Motivating of Staff (all levels of nursing staff), Patients, and Families. Function-focused care activities include motivating older patients to participate in bed mobility; personal care activities such as bathing, dressing, ambulating as they are able; and other types of physical activities. The integration of the intervention among the nurses on the units is guided by the Evidence Integration Triangle (EIT), which includes the participation of a stakeholder team and practical outcome measures. The intervention is therefore referred to as FFC-AC-EIT. In addition to describing the protocol developed to test the effectiveness and feasibility of FFC-AC-EIT, a description of ways to overcome some of the barriers and challenges that can be encountered with this study is provided.
Project description:The Discharge Medicines Review (DMR) referral system, Refer-to-Pharmacy (RTP), PharmOutcomes and Help for Harry are UK transfer of care systems that aim to reduce the risks associated with hospital discharge. These systems use technology to facilitate the transmission of discharge information to community pharmacy, allowing community pharmacists to provide an adherence-support service. Despite the evidence that these systems benefit patient safety, there is a paucity of literature on their use. This study aimed to describe, compare and contrast these systems to highlight areas that could inform good practice recommendations. A rapid literature review was completed, and from the twenty-six sources of literature that were synthesised, three themes were identified for further exploration in semi-structured interviews with key informants: implementation, system attributes and stakeholder engagement. The key informants were purposively sampled for their role in the development and/or strategic implementation of each transfer of care system (n = 4). Audio recordings were transcribed ad verbatim and analysed both deductively and inductively. One interview was undertaken for each of the DMR, RTP and PharmOutcomes systems. Although all systems shared the same aim, differences were identified such as automated feedback for referrals, marketing strategies and practitioner accountability. Good practice recommendations suggested in this study could be applied to the future development of such systems.