[Experience Providing Psychological Care to an HIV-Positive Patient With SARS-CoV-2 Infection].

Infectious diseases are often stigmatized and criminalized because of the way they are transmitted. An experience providing care to a 37-year-old patient with human immunodeficiency virus (HIV) infection who was admitted to a medical center's quarantine ward in July 2021 due to SARS-CoV-2 infection is described in this article. This patient lived with his mother, who was later diagnosed with COVID-19 as well. He was worried about his mother's health condition and, meanwhile, feared that information about his diseases and person would be exposed by the media. These stressors led to increased feelings of shame and anxiety and to situational low self-esteem. Several interventions were provided, including education regarding the importance of personal hygiene and of maintaining combination antiretroviral therapy (cART) to bolster immune system functions. During the isolation period, the nurses most regularly interacted with the patient directly. Thus, we worked to build the nurse-patient relationship by listening to the patient's worries, guaranteeing his privacy would not be compromised, and guiding him to express his emotions to reduce anxiety and enhance confidence. This experience demonstrated the importance of providing psychological care to COVID-19/HIV co-infected patients. We suggest that the government and media distribute correct and neutral information to destigmatize communicable diseases and to foster a friendlier healthcare environment.

[Nursing Experience Caring for a COVID-19 Patient With Hearing Loss].

The focus of this article is on a male patient with hearing loss who was diagnosed with COVID-19 after returning to Taiwan from overseas. Due to the severe pneumonia infiltration, the patient received the clinical-trial treatment Remdesivir. In addition to facing the isolation and new-drug-related anxieties of the patient, the medical team faced difficulties in communicating effectively with the patient and in helping him through the isolation period. During the period of hospitalization (March 14th to April 13th, 2020), the author used Roy's adaptation model to perform a nursing assessment, which confirmed that the patient faced the following problems: (1) ineffective breathing pattern related to COVID-19, (2) impaired verbal communication related to hearing impairment, and (3) social isolation related to the isolation experience and the communication barrier with healthcare workers. During the nursing care process, the author helped the patient receive the antiviral treatment and taught him how to do diaphragmatic breathing in a comfortable, recumbent position to improve his breathing pattern. To reduce the difficulty of communication, the author made a pile of cards with common care-related words, provided pen and paper to write, and used a mobile-phone-based social-networking application to communicate with the patient. The author used writing to communicate with the patient and learned some simple signs from him to enable interaction. Moreover, the intervention helped him adapt to the isolation and treatment protocols to reach holistic nursing care. Based on this experience, the author suggests that hospitals cooperate with sign language organizations to teach healthcare workers simple communication skills, including sign language and cards to provide more complete care for patients with hearing loss during hospitalization.

Using a Text Mining Approach to Explore the Recording Quality of a Nursing Record System.

BACKGROUND: Most nursing records in Taiwan have been computerized, resulting in a large amount of unstructured text data. The quality of these records has rarely been discussed. PURPOSE: This study used a text mining method to analyze the quality of a nursing record system to establish an auditing model and associated tools for nursing records, with the ultimate objective of improving the quality of electronic nursing records. METHODS: This study utilized a retrospective method to collect the electronic nursing records of 6,277 patients who had been discharged from the internal medicine departments of a medical center in northern Taiwan from January to June 2014. SAS Enterprise Guide Version 6.1 and SAS Text Miner Version 13.2 software were used to perform text mining. Nursing experts were invited to examine the electronic nursing records. The text mining results were compared against a benchmark that was developed by the experts, and the efficiency of SAS Text Miner was examined using the criteria of specificity, sensitivity, and accuracy. RESULTS: In this study, 27,356 nurse-formulated events were used in the analysis. The results of the nurse-formulated events showed an 8.08% similar error with system-formulated events, 29.72% were identified as necessary and appropriate names, 17.53% were retained, 10.15% involved error event names, and 34.52% were not classified. In this study, the sensitivity of SAS text mining in the training (testing) data set was 96% (95%), and the specificity and accuracy were both 99% (99%). CONCLUSIONS: The results of this study show that text mining is an effective approach to auditing the quality of electronic nursing records. SAS Text Miner software was shown to identify inappropriate nursing record content quickly and efficiently. Furthermore, the results of this study may be included in in-service education teaching materials to promote the writing of better nursing records to improve the quality of electronic nursing records.

Using a Text-Mining Approach to Evaluate the Quality of Nursing Records.

Nursing records in Taiwan have been computerized, but their quality has rarely been discussed. Therefore, this study employed a text-mining approach and a cross-sectional retrospective research design to evaluate the quality of electronic nursing records at a medical center in Northern Taiwan. SAS Text Miner software Version 13.2 was employed to analyze unstructured nursing event records. The results show that SAS Text Miner is suitable for developing a textmining model for validating nursing records. The sensitivity of SAS Text Miner was approximately 0.94, and the specificity and accuracy were 0.99. Thus, SAS Text Miner software is an effective tool for auditing unstructured electronic nursing records.

Improving inpatient fall prevention strategies using interactive data repository information system.

Observing the pattern changes of inpatient fall and validating the Fall Prevention Tool Kit (FPTK) are essential for developing fall prevention strategies. However, the work requires the collection, calculation, and comparison of large amount of data. The information is often scattered in diverse information systems and lack of integration, which makes the work difficult and often neglected. This study demonstrates the development of an Interactive Data Repository System (IDRS) and uses it in the analysis of the pattern changes of inpatient fall within the institute, and validates efficiency of the FPTK across time. This study collected the incident data of year 2011 and compared it with the previous analysis in 2001. The result shows that reasons for patient fall had turned from physical disability to impaired conscious or cognition. The scoring result may be too sensitive in identifying patient falls. Patients with high scores needed to reinforce in functional strength.