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AnteayerCIN: Computers, Informatics, Nursing

Nursing Diagnosis Accuracy in Nursing Education: Clinical Decision Support System Compared With Paper-Based Documentation—A Before and After Study

imageComputer-based technologies have been widely used in nursing education, although the best educational modality to improve documentation and nursing diagnostic accuracy using electronic health records is still under investigation. It is important to address this gap and seek an effective way to address increased accuracy around nursing diagnoses identification. Nursing diagnoses are judgments that represent a synthesis of data collected by the nurse and used to guide interventions and to achieve desirable patients' outcomes. This current investigation is aimed at comparing the nursing diagnostic accuracy, satisfaction, and usability of a computerized system versus a traditional paper-based approach. A total of 66 nursing students solved three validated clinical scenarios using the NANDA-International terminologies traditional paper-based approach and then the computer-based Clinical Decision Support System. Study findings indicated a significantly higher nursing diagnostic accuracy (P

Creating Subsets of International Classification for Nursing Practice Precoordinated Concepts: Diagnoses/Outcomes and Interventions Categorized Into Areas of Nursing Practice

imageThe International Classification for Nursing Practice is a comprehensive terminology representing the domain of nursing practice. A categorization of the diagnoses/outcomes and interventions may further increase the usefulness of the terminology in clinical practice. The aim of this study was to categorize the precoordinated concepts of the International Classification for Nursing Practice into subsets for nursing diagnoses/outcomes and interventions using the structure of an established documentation model. The aim was also to investigate the distribution of the precoordinated concepts of the International Classification for Nursing Practice across the different areas of nursing practice. The method was a descriptive content analysis using a deductive approach. The VIPS model was used as a theoretical framework for categorization. The results showed that all the precoordinated concepts of the International Classification for Nursing Practice could be categorized according to the keywords in the VIPS model. It also revealed the parts of nursing practice covered by the concepts of the International Classification for Nursing Practice as well as the parts that needed to be added to the International Classification for Nursing Practice. This has not been identified in earlier subsets as they covered only one specific area of nursing.

Ambulatory Care Coordination Data Gathering and Use

imageCare coordination is a crucial component of healthcare systems. However, little is known about data needs and uses in ambulatory care coordination practice. Therefore, the purpose of this study was to identify information gathered and used to support care coordination in ambulatory settings. Survey respondents (33) provided their demographics and practice patterns, including use of electronic health records, as well as data gathered and used. Most of the respondents were nurses, and they described varying practice settings and patterns. Although most described at least partial use of electronic health records, two respondents described paper documentation systems. More than 25% of respondents gathered and used most of the 72 data elements, with collection and use often occurring in multiple locations and contexts. This early study demonstrates significant heterogeneity in ambulatory care coordination data usage. Additional research is necessary to identify common data elements to support knowledge development in the context of a learning health system.

Associations Between Psychosocial Needs, Carbohydrate-Counting Behavior, and App Satisfaction: A Randomized Crossover App Trial on 92 Adults With Diabetes

imageTo examine whether psychosocial needs in diabetes care are associated with carbohydrate counting and if carbohydrate counting is associated with satisfaction with diabetes applications' usability, a randomized crossover trial of 92 adults with type 1 or 2 diabetes requiring insulin therapy tested two top-rated diabetes applications, mySugr and OnTrack Diabetes. Survey responses on demographics, psychosocial needs (perceived competence, autonomy, and connectivity), carbohydrate-counting frequency, and application satisfaction were modeled using mixed-effect linear regressions to test associations. Participants ranged between 19 and 74 years old (mean, 54 years) and predominantly had type 2 diabetes (70%). Among the three tested domains of psychosocial needs, only competence—not autonomy or connectivity—was found to be associated with carbohydrate-counting frequency. No association between carbohydrate-counting behavior and application satisfaction was found. In conclusion, perceived competence in diabetes care is an important factor in carbohydrate counting; clinicians may improve adherence to carbohydrate counting with strategies designed to improve perceived competence. Carbohydrate-counting behavior is complex; its impact on patient satisfaction of diabetes application usability is multifactorial and warrants consideration of patient demographics such as sex as well as application features for automated carbohydrate counting.

Development, Validation, and Usability of the Chatbot ESTOMABOT to Promote Self-care of People With Intestinal Ostomy

imageThis study aimed to describe the process of construction, validation, and usability of the chatbot ESTOMABOT to assist in the self-care of patients with intestinal ostomies. Methodological research was conducted in three phases: construction, validation, and usability. The first stage corresponded to the elaboration of a script through a literature review, and the second stage corresponded to face and content validation through a panel of enterostomal therapy nurses. In the third phase, the usability of ESTOMABOT was assessed with the participation of surgical clinic nurses, patients with intestinal elimination ostomies, and information technology professionals, using the System Usability Scale. The ESTOMABOT content reached excellent criteria of adequacy, with percentages of agreement equal to or greater than 90%, which were considered adequate, relevant, and representative. The evaluation of the content validity of the script using the scale content validity index/average proportion method reached a result above 0.90, and the Fleiss κ was excellent (P

Feasibility of Lantern Using WhatsApp to Improve Antiretroviral Therapy Adherence

imageThis pilot study tested the feasibility of Lantern program, an adherence program to HIV medications using WhatsApp, a secure social media messaging application from Meta, for a smartphone-based platform to enhance medication-taking adherence of antiretroviral therapy among people living with HIV in Indonesia. Thirty participants were recruited for this 8-week study. We recruited persons if they had taken antiretroviral therapy for at least 3 months prior to the study, had a smartphone, Internet access, and could use Lantern with WhatsApp. Here, we report the results from the focus group discussions, with the participants evaluating the qualitative aspects of the experiences. The WhatsApp platform was found to be safe, practical, and relatively inexpensive and provided confidentiality for the participants. Three themes emerged from the focus groups: the study motivated participants to take their antiretroviral therapy medications on time, they still set medication reminder alarms, and being in the study made them feel supported. The Lantern program indicated good feasibility and acceptability for adherence to antiretroviral therapies among people living with HIV. Future research should examine on how community organizations and healthcare providers can take advantage of the WhatsApp program to improve adherence to antiretroviral therapies.
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