Cin-Computers Informatics Nursing最新文献

This study aims to explore the challenges and strategies in creating online communities for individuals with diabetes, emphasizing their role in fostering connections among individuals facing similar health conditions. Using a single-case approach, we investigated the design process of a diabetes online community using the classic waterfall model. Participants were recruited from a diabetes local association, and usability was assessed using the System Usability Scale and the think-aloud method. Subsequently, semistructured interviews were conducted to evaluate functionality and user experience. Data collection was conducted from August until December 2023. The development of the community unveiled significant usability challenges, highlighting the need for user feedback and improvement. Ethical considerations, including anonymity, usage conditions, privacy terms, and health information sharing, emerged as critical areas requiring meticulous attention. Furthermore, healthcare professional moderation was deemed essential to ensure a secure environment. Users expressed strong interest in enhanced interaction features and personalized notifications. Although online diabetes communities hold potential for peer support, addressing usability challenges, ethical considerations, and moderation issues is essential. This study emphasizes the ongoing necessity for research to enhance the development of patient communities, ensuring accessibility, mitigating ethical risks, and leveraging nurses as moderators.

High-quality care requires precise and timely provider documentation. Hospitals have used technology to document patient care within both the inpatient and outpatient areas and long-term care facilities. Research has demonstrated, by revealing a reduction in medical errors, that there has been a worldwide improvement in our community health and welfare since the implementation and utilization of documenting patient care electronically. Although electronic documentation has proven to be an improvement in patient record keeping, the most efficient location in which this documentation is to occur remains a question. At the location where this project took place, only the ICU had computers within the patient rooms for documentation purposes. This project evaluated bedside nurses' opinions related to the efficiency of documentation practices compounded by the location where documentation took place. The options were at the patient's bedside, on a workstation on wheels, or at the nursing station. Surveys were provided to bedside nursing staff both before and after computers were installed in patients' rooms in surgical and medical/surgical nursing units at a Veteran Affairs Medical Center located in the Northeastern region of the United States. The results of this project inconclusively answer the question posed: "Which mode of entry do nurses feel is more efficient to document patient care, on a computer in the patient room, at the nurses' station, or on a workstation on wheels?" Innovative strategies should be explored to develop a user-friendly design for computers located within the patient rooms for patient documentation.

The rapid integration of mobile applications in healthcare has prompted an evolutionary change in nursing domain. This study aimed to systematically analyze the basic publication characteristics, research priorities, emerging trends, and thematic evolutions concerning mobile applications in nursing, providing an overview of the field's developmental trajectory and future directions. This was a descriptive bibliometric study. Data were collected on July 5, 2023, from the Web of Science database and analyzed by using the Bibliometrix package in R software. The search strategy yielded 417 documents authored by 1969 researchers, cited 12 595 references, and featured 1213 author keywords, spanning from 2012 to 2023. Research on mobile applications in nursing exhibited several key trends: (1) substantial collaboration among authors; (2) significant growth in the number of publications; (3) self-management was the most prominent hot topic; and (4) an evolution of research themes from general topics to a more specific focus on people-centered and problem-centered research. The corpus of literature pertaining to research on mobile applications within the nursing domain is anticipated to expand continually. Future research and practice in the nursing field are expected to benefit significantly from multidisciplinary collaboration and advancements in emerging technologies, including artificial intelligence.

Surgery is a significant part of healthcare, but its demand is increasing, leading to challenges in managing patient care. Inefficient perioperative practices and traditional linear models contribute to adverse outcomes and patient anxiety. E-health interventions show promise in improving surgical care, but more research is needed. The purpose of this study was to involve patients and healthcare workers during the design phase of an e-health intervention that aims to support the perioperative care of elective surgery preparation and recovery. This study used an Information Systems Research Framework to guide collaborative codesign through semistructured interviews and cocreation workshops. Semistructured interviews collected insights on the perioperative journey and e-health needs from healthcare workers and consumers, resulting in the creation of a patient surgery journey map, experience map, and a stakeholder needs table. Collaborative work between consumers and healthcare workers in the cocreation workshops identified priority perioperative journey issues and proposed solutions, as well as prioritizing application software needs, guiding the development of the wireframe. The development of an e-health application aimed at supporting surgery preparation and recovery is a significant step toward improving patient engagement, satisfaction, and postsurgical health outcomes.

Although electronic health record optimization programs are common in healthcare organizations, a dearth of published evaluations of these programs exists. Little is known about the ability of optimization programs to handle flooding requests for change and achieve their objectives of cost savings, value, quality of care, and efficiency. This program evaluation reviewed one organization's electronic health record clinical optimization program. The evaluation examines the implementation of the insulin dosing calculator project at five hospitals within a large nonprofit healthcare organization using interviews, project documents, reported insulin dosing errors, and workflow observation to determine if the program provides sufficient structure and processes to successfully implement large optimization projects and achieve the project's desired outcomes. This evaluation finds that the optimization program processes support the implementation of large projects. The program can improve the planning of human resources to increase productivity and reduce waste. A clearer definition of meaningful project outcomes at the onset would allow the program to measure and communicate its accomplishments across the organization.

Diabetic peripheral neuropathy is a major cause of disability and death in the later stages of diabetes. A retrospective chart review was performed using a hospital-based electronic medical record database to identify 1020 patients who met the criteria. The objective of this study was to explore and analyze the early risk factors for peripheral neuropathy in patients with type 2 diabetes, even in the absence of specific clinical symptoms or signs. Finally, the random forest algorithm was used to rank the influencing factors and construct a predictive model, and then the model performance was evaluated. Logistic regression analysis revealed that vitamin D plays a crucial protective role in preventing diabetic peripheral neuropathy. The top three risk factors with significant contributions to the model in the random forest algorithm eigenvalue ranking were glycosylated hemoglobin, disease duration, and vitamin D. The areas under the receiver operating characteristic curve of the model ware 0.90. The accuracy, precision, specificity, and sensitivity were 0.85, 0.83, 0.92, and 0.71, respectively. The predictive model, which is based on the random forest algorithm, is intended to support clinical decision-making by healthcare professionals and help them target timely interventions to key factors in early diabetic peripheral neuropathy.

The number of health technology-based intervention studies has grown significantly. However, issues in the recruitment and retention for such studies, especially of Asian Americans, have rarely been discussed. The purpose of this paper was to discuss issues in the recruitment and retention of a specific group of Asian Americans-Korean American midlife women with depressive symptoms-into a technology-based intervention study using computers and mobile devices with a measurement device and to provide directions for future participant recruitment and retention in technology-based intervention studies. The written memos of research team members and the written records of research team meetings were analyzed using a content analysis. The issues in the recruitment and retention process included (1) low recruitment and retention rates; (2) the perceived long intervention period; (3) strict inclusion/exclusion criteria; (4) concerns related to the use of a measurement device; and (5) the perceived adequacy of monetary incentives. Based on the issues identified in the study, several suggestions are made for future recruitment and retention of racial/ethnic minorities in technology-based intervention studies (eg, appropriate intervention period, innovative and creative motivation strategies, acceptable measurement scales and devices, and adequate monetary reimbursement).

To date, symptom documentation has mostly relied on clinical notes in electronic health records or patient-reported outcomes using disease-specific symptom inventories. To provide a common and precise language for symptom recording, assessment, and research, a comprehensive list of symptom codes is needed. The International Classification of Diseases, Ninth Revision or its clinical modification ( International Classification of Diseases, Ninth Revision, Clinical Modification ) has a range of codes designated for symptoms, but it does not contain codes for all possible symptoms, and not all codes in that range are symptom related. This study aimed to identify and categorize the first list of International Classification of Diseases, Ninth Revision, Clinical Modification symptom codes for a general population and demonstrate their use to characterize symptoms of patients with type 2 diabetes mellitus in the Cerner database. A list of potential symptom codes was automatically extracted from the Unified Medical Language System Metathesaurus. Two clinical experts in symptom science and diabetes manually reviewed this list to identify and categorize codes as symptoms. A total of 1888 International Classification of Diseases, Ninth Revision, Clinical Modification symptom codes were identified and categorized into 65 categories. The symptom characterization using the newly obtained symptom codes and categories was found to be more reasonable than that using the previous symptom codes and categories on the same Cerner diabetes cohort.