[Using Cloud Healthcare to Improve Home Learning Efficacy in Congenital Heart Disease Infants].

BACKGROUND: During the COVID-19 pandemic, visitation restrictions in line with infection control policies curtailed opportunities for family members to learn essential caregiving skills in the intensive care unit. This limitation decreased satisfaction among family members, possibly indicating their increased difficulties in care due to the lack of face-to-face guidance. Thus, increasing family member understanding of and ability to apply learning content without direct interaction presents a significant and urgent challenge. Moreover, because of lack of caregiving confidence, some family members may be reluctant to facilitate the discharge of critically ill patients, causing delays in discharge planning. These challenges underscore the obstacles faced by nursing health education during the pandemic. PURPOSE: This study was designed to utilize cloud technology to enhance the knowledge and skills of families caring for infants with congenital heart disease at home and to assess their satisfaction with the associated homecare learning platform. RESOLUTION: Based on our hospital's cloud-based health education platform, a series of personalized instructional video materials was developed for families of infants with congenital heart disease. These materials cover comprehensively the entire treatment process, from diagnosis to post-discharge home care skills, for these patients. To facilitate autonomous learning, the videos in this series were made accessible to the families anytime, anywhere via personal devices such as smartphones and tablets. Concurrently, a chatbot tool was integrated to provide guidance on inpatient care for infants with congenital heart disease, including fundamental aspects of newborn care, with the aim of equipping parents and caregivers with the knowledge and skills necessary to provide basic post-discharge care. To ensure the families acquired personalized care skills, after completing the learning modules, practical bedside training sessions incorporating knowledge and skills assessments were organized for family members. RESULTS: After project implementation, the average knowledge score for family members increased significantly from 79.1 to 100 (perfect score). The proportion of family members proficient in executing caregiving techniques autonomously also rose impressively from 30% to 95%. Furthermore, average overall satisfaction with cloud-based technology-assisted caregiving learning among the family members rose 31.4% from 3.5 to 4.6. CONCLUSIONS: This project represents a viable solution to providing clinical nursing guidance independent of the constraints of time and location, and effectively enhances homecare-skill-related learning outcomes in family members, especially with regard to caring for infants with congenital heart disease.

Corrigendum to "Investigating nurses' acceptance of patients' bring your own device implementation in a clinical setting: A pilot study" [Asia-Pacific J Oncol Nurs 10 (2023) 100195].

[This corrects the article DOI: 10.1016/j.apjon.2023.100195.].

Machine learning-based prediction of medication refill adherence among first-time insulin users with type 2 diabetes.

AIMS: The prevalence of Type 2 Diabetes Mellitus (T2DM) is projected to be 7 % in 2030. Despite its need for long-term diabetes care, the adherence rate of injectable medications such as insulin is around 60 %, lower than the acceptable threshold of 80 %. This study aims to create classification models to predict insulin adherence among adult T2DM naïve insulin users. METHODS: Clinical data were extracted from Taipei Medical University Clinical Research Database (TMUCRD) from January 1st, 2004 to December 30th, 2020. A patient was regarded as adherent if his/her medication possession ratio (MPR) was at least 80 %. Seven domains of predictors were created, including demographics, baseline medications, baseline comorbidities, baseline laboratory data, healthcare resource utilization, index insulins, and the concomitant non-insulin T2DM medications. We built two Xgboost models for internal and external testing respectively. RESULTS: Using a cohort of 4134 patients from Taiwan, our model achieved the Area Under the curve of the Receiver Operating Characteristic (AUROC) of the internal test was 0.782 and the AUROC of the external test was 0.771. the SHAP (SHapley Additive exPlanations) value showed that the number of prescribed medications, the number of outpatient visits, and laboratory data were predictive of future insulin adherence. CONCLUSIONS: This is the first study to predict adherence among adult naïve insulin users. The developed model is a potential clinical decision support tool to identify possible non-adherent patients for healthcare providers to design individualized education plans.

[A Nurse's Experience Providing Care to a Mother of a Toddler With Cohen's Syndrome Facing Tracheostomy Decision-Making Conflict Using Watson's Caring Theory].

This case involved a 17-month-old toddler with Cohen's syndrome and cerebral palsy who had experienced multiple hospitalizations and operations since birth. During hospitalization, the patient suffered from tracheomalacia and poor swallowing and coughing abilities and had experienced two cardiopulmonary resuscitation events, after which a tracheotomy was suggested. Decision-making regarding the tracheotomy placed the mother under tremendous pressure, who was facing both the life-threatening disease of her son and her burden of care. During the nursing care period from 19th September to 6th December 2022, the author identified the main nursing problem as "decision-conflict: decision-making in relation to tracheotomy procedure" and distinguished the nursing process into (1) escape period, (2) conflict period, and (3) coping period after decision-making. Adopting the ten carative factors in Watson's Caring Theory as the core of her care approach, the author was able to establish a mutually trusting relationship with the mother and to understand her needs by means of listening, consistency, and empathy. This involved providing sufficient information and holding family meetings to facilitate communication in combination with palliative medical resources to provide follow-up care support as well as helping the family find meaning in their lives.

Using alert dwell time to filter universal clinical alerts: A machine learning approach.

BACKGROUND: Alerts in computerized physician order entry (CPOE) systems can improve patient safety. However, alerts in rule-based systems cannot be customized based on individual patient or user characteristics. This limitation can lead to the presentation of irrelevant alerts and subsequent alert fatigue. OBJECTIVE: We used machine learning approaches with alert dwell time to filter out irrelevant alerts for physicians based on contextual factors. METHODS: We utilized five machine learning algorithms and a total of 1,120 features grouped into six categories: alert, demographic, environment, diagnosis, prescription, and laboratory results. The output of the models was the alert dwell time within a specified time window to determine the optimal range by the sensitivity analysis. RESULTS: We used 813,026 records (19 categories) from the hospital's outpatient clinic data from 2020 to 2021. The sensitivity analysis showed that a time window with a range of 0.3-4.0 s had the best performance, with an area under the receiver operating characteristic (AUROC) curve of 0.73 and an area under the precision-recall curve (AUPRC) of 0.97. The model built with alert and demographic feature groups showed the best performance, with an AUROC of 0.73. The most significant individual feature groups were alert and demographic, with AUROCs of 0.66 and 0.62, respectively. CONCLUSION: Our study found that alerts and user and patient demographic features are more crucial than clinical features when constructing universal context-aware alerts. Using alert dwell time in combination with a time window is an effective way to determine the trigger status of an alert. The findings of this study can provide useful insights for researchers working on specific and universal context-aware alerts.

A double blinded trial to compare the patient satisfaction and crown accuracy of two different intraoral scanners for the fabrication of monolithic lithium disilicate single crowns.

Background/Purpose: The digital impression is a promising technique in prosthodontic treatment. However, the influencing factors of patient comfort is lacking, and the evidence of crown quality is mostly based on in vitro studies. The purpose of this double-blinded clinical trial was to compare the patient satisfaction and crown accuracy of two different intraoral scanners (IOSs) for the fabrication of all-ceramic single crowns (SCs). Materials and methods: Participants in need of posterior tooth-supported SCs were enrolled. Each patient received quadrant scan by both the Metal Industries Research and Development Centre (MIRDC) IOS and Carestream CS3500 in a random sequence. After scanning, participants had to fill in a 6-item perception questionnaire that based on 5-point Likert scale for two IOSs. Both data were sent to a dental laboratory to fabricate the monolithic lithium disilicate SCs. The crown accuracy including marginal fit, proximal contact, occlusal contact, and general satisfaction were accessed based on 5-point scale. Results: A total of 15 participants with 40 crowns (20 SCs in each group) were investigated. Regarding to patient satisfaction, there was no statistically significant difference in total score between MIRDC and Carestream IOSs (23.6 ± 3.79 vs 23.1 ± 4.28, P = 0.36). In terms of crown accuracy, there was significantly different in total score and all the evaluated parameters between MIRDC and Carestream groups (6.1 ± 1.41 vs 13.3 ± 3.75, P < 0.001). Conclusion: Both MIRDC and Carestream IOSs can provide good patient satisfaction during intraoral scanning. The Carestream IOS obtains better accuracy for the fabrication of all-ceramic SCs.

Investigating nurses' acceptance of patients' bring your own device implementation in a clinical setting: A pilot study.

Objective: The popularity of the â€‹"bring your own device (BYOD)" â€‹concept has grown in recent years, and its application has extended to the healthcare field. This study was aimed at examining nurses' acceptance of a BYOD-supported system after a 9-month implementation period. Methods: We used the technology acceptance model to develop and validate a structured questionnaire as a research tool. All nurses (n â€‹= â€‹18) responsible for the BYOD-supported wards during the study period were included in our study. A 5-point Likert scale was used to assess the degree of disagreement and agreement. Statistical analysis was performed in SPSS version 24.0. Results: The questionnaire was determined to be reliable and well constructed, on the basis of the item-level content validity index and Cronbach α values above 0.95 and 0.87, respectively. The mean constant values for all items were above 3.95, thus suggesting that nurses had a positive attitude toward the BYOD-supported system, driven by the characteristics of the tasks involved. Conclusions: We successfully developed a BYOD-supported system. Our study results suggested that nursing staff satisfaction with BYOD-supported systems could be effectively increased by providing practical functionalities and reducing clinical burden. Hospitals could benefit from the insights generated by this study when implementing similar systems.

Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout.

BACKGROUND AND OBJECTIVE: Social media sentiment analysis based on Twitter data can facilitate real-time monitoring of COVID-19 vaccine-related concerns. Thus, the governments can adopt proactive measures to address misinformation and inappropriate behaviors surrounding the COVID-19 vaccine, threatening the success of the national vaccination campaign. This study aims to identify the correlation between COVID-19 vaccine sentiments expressed on Twitter and COVID-19 vaccination coverage, case increase, and case fatality rate in Indonesia. METHODS: We retrieved COVID-19 vaccine-related tweets collected from Indonesian Twitter users between October 15, 2020, to April 12, 2021, using Drone Emprit Academic (DEA) platform. We collected the daily trend of COVID-19 vaccine coverage and the rate of case increase and case fatality from the Ministry of Health (MoH) official website and the KawalCOVID19 database, respectively. We identified the public sentiments, emotions, word usage, and trend of all filtered tweets 90 days before and after the national vaccination rollout in Indonesia. RESULTS: Using a total of 555,892 COVID-19 vaccine-related tweets, we observed the negative sentiments outnumbered positive sentiments for 59 days (65.50%), with the predominant emotion of anticipation among 90 days of the beginning of the study period. However, after the vaccination rollout, the positive sentiments outnumbered negative sentiments for 56 days (62.20%) with the growth of trust emotion, which is consistent with the positive appeals of the recent news about COVID-19 vaccine safety and the government's proactive risk communication. In addition, there was a statistically significant trend of vaccination sentiment scores, which strongly correlated with the increase of vaccination coverage (r = 0.71, P<.0001 both first and second doses) and the decreasing of case increase rate (r = -0.70, P<.0001) and case fatality rate (r = -0.74, P<.0001). CONCLUSIONS: Our results highlight the utility of social media sentiment analysis as government communication strategies to build public trust, affecting individual willingness to get vaccinated. This finding will be useful for countries to identify and develop strategies for speed up the vaccination rate by monitoring the dynamic netizens' reactions and expression in social media, especially Twitter, using sentiment analysis.

Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis.

A clinical decision support system (CDSS) informs or generates medical recommendations for healthcare practitioners. An alert is the most common way for a CDSS to interact with practitioners. Research about alerts in CDSS has proliferated over the past ten years. The research trend is ongoing with new emerging terms and focus. Bibliometric analysis is ideal for researchers to understand the research trend and future directions. Influential articles, institutes, countries, authors, and commonly used keywords were analyzed to grasp a comprehensive view on our topic, alerts in CDSS. Articles published between 2011 and 2021 were extracted from the Web of Science database. There were 728 articles included for bibliometric analysis, among which 24 papers were selected for content analysis. Our analysis shows that the research direction has shifted from patient safety to system utility, implying the importance of alert usability to be clinically impactful. Finally, we conclude with future research directions such as the optimization of alert mechanisms and comprehensiveness to enhance alert appropriateness and to reduce alert fatigue.

Voice-based control system for smart hospital wards: a pilot study of patient acceptance.

BACKGROUND: The smart hospital's concept of using the Internet of Things (IoT) to reduce human resources demand has become more popular in the aging society. OBJECTIVE: To implement the voice smart care (VSC) system in hospital wards and explore patient acceptance via the Technology Acceptance Model (TAM). METHODS: A structured questionnaire based on TAM was developed and validated as a research tool. Only the patients hospitalized in the VSC wards and who used it for more than two days were invited to fill the questionnaire. Statistical variables were analyzed using SPSS version 24.0. A total of 30 valid questionnaires were finally obtained after excluding two incomplete questionnaires. Cronbach's α values for all study constructs were above 0.84. RESULT: We observed that perceived ease of use on perceived usefulness, perceived usefulness on user satisfaction and attitude toward using, and attitude toward using on behavioral intention to use had statistical significance (p < .01), respectively. CONCLUSION: We have successfully developed the VSC system in a Taiwanese academic medical center. Our study indicated that perceived usefulness was a crucial factor, which means the system function should precisely meet the patients' demands. Additionally, a clever system design is important since perceived ease of use positively affects perceived usefulness. The insight generated from this study could be beneficial to hospitals when implementing similar systems to their wards.

[Nursing Experiences Applying Swanson's Caring Theory to Assist a Family Confronting the Impact of an Infant With CHARGE Syndrome].

The purpose of this study was to explore the experiences of nurses who applied Swanson's Caring Theory to assist coping in a family of an infant with CHARGE Syndrome. The patient was born with multiple organ hypoplasia and was diagnosed using genetic testing with CHARGE syndrome. The shock and sadness, coupled with returning home for care and the long and endless journey of rehabilitation, were the most significant challenges and pressures for the parents when taking care of the patient. The author used interviews, texting apps, and observations to collect data, and completed the recording process between September 21st and December 3rd, 2020. Based on the data, the primary nursing problem was caregiver role strain. The process of nursing was summarized as (1) the impact stage, when the family first faces the child's diagnosis of a rare disease; (2) the transition stage from the hospital to the home in the care situation; and (3) the re-impact stage when the child experiences developmental delays. Swanson's Caring Theory was applied in this study to guide nursing care. The five caring processes outlined in Swanson's Caring Theory include knowing, being with, doing for, enabling, and maintaining belief. The authors used these caring processes at every stage to provide an individualized caring plan that included attentively listening to parents' ideas, encouraging parents to express personal perceptions, providing strategies to enhance parents' caring skills, and establishing positive beliefs to improve confidence. Nursing personnel may apply Swanson's Caring Theory to assist families of children with rare diseases to not only gain positive beliefs in a grieving situation but also achieve a rewarding life.

Determinants and Prevention Strategies for Household Food Waste: An Exploratory Study in Taiwan.

Given the large amount of food waste coming from households, reducing household food waste is essential to the mitigation of overall food waste and the provision of multi-faceted benefits for both people and the planet. This study identifies factors and management strategies for the reduction of household food waste in the Taiwanese household setting. Using snowball sampling, semi-structured interviews are conducted to collect data from 27 household food providers in Taipei. The research findings identify four critical motivators and four barriers to minimizing household food waste in Taiwan. The most frequently mentioned motivator for the reduction of food waste is a convenient shopping environment, and the most important barrier is lack of knowledge for assessing the edibility of food. Additionally, four major prevention strategies are identified to help reduce household food waste: (1) planned purchase schedule; (2) skills to keep food fresh and longer; (3) understanding family preferences and leftover management, and (4) sharing additional food and co-procurement and cooking. The results of this study not only help improve the understanding and application of Chinese household food waste reduction, but also demonstrate the significance of its socio-cultural impacts in future studies.

Factors affecting motor development of toddlers who received cardiac corrective procedures during infancy.

BACKGROUND: A risk adjustment in congenital heart surgery (RACHS-1) method was used for assessing quality of care in children undergoing congenital heart surgery. Children in RACHS-1 categories 1-4 had high survival rates. Little was known about these children and their prognosis of motor development during toddlerhood. AIMS: To compare the differences between congenital heart disease (CHD) and healthy toddlers in terms of their characteristics, parental characteristics, parenting attitudes, and motor development, and further examine the influence of these factors on the motor development of the toddler with CHD. STUDY DESIGN: A comparison study. SUBJECTS: There were 48 toddlers in the CHD group and 39 in the healthy toddler group. OUTCOMES MEASURES: Current height and weight, Peabody Developmental Motor Scales second edition (PDMS-2), state-trait anxiety inventory (STAI) and Child Vulnerability Scale (CVS). RESULTS: Compared to the healthy group, toddlers with CHD had lower birth weight, smaller height-for-age, lower weight-for-age, and more motor developmental delay, but their mothers had lower anxiety. A shorter length of hospitalization and higher weight-for-age z score predicted a better gross motor development, with 40.2% of the variance explained. A higher weight-for-age z score and low RACHS-1 categories predicted better total motor development, with 38.4% of the variance explained. Only low RACHS-1 categories predicted better fine-motor development, with 12% of the variance explained. CONCLUSIONS: Many children in RACHS-1 categories 1-4 had growth and motor development below average in their toddlerhood. Therefore, growth and developmental progress should be assessed and mediated early after corrective procedures.

Roles of autophagy in orthodontic tooth movement.

INTRODUCTION: Orthodontic tooth movement (OTM) relies on efficient remodeling of alveolar bone. While a well-controlled inflammatory response is essential during OTM, the mechanism regulating inflammation is unknown. Autophagy, a conserved catabolic pathway, has been shown to protect cells from excess inflammation in disease states. We hypothesize that autophagy plays a role in regulating inflammation during OTM. METHODS: A split-mouth design was used to force load molars in adult male mice, carrying a GFP-LC3 transgene for in vivo detection of autophagy. Confocal microscopy, Western blot, and quantitative polymerase chain reaction analyses were used to evaluate autophagy activation in tissues of loaded and control molars at time points after force application. Rapamycin, a Food and Drug Administration-approved immunosuppressant, was injected to evaluate induction of autophagy. RESULTS: Autophagy activity increases shortly after loading, primarily on the compression side of the tooth, and is closely associated with inflammatory cytokine expression and osteoclast recruitment. Daily administration of rapamycin, an autophagy activator, led to reduced tooth movement and osteoclast recruitment, suggesting that autophagy downregulates the inflammatory response and bone turnover during OTM. CONCLUSIONS: This is the first demonstration that shows that autophagy is induced by orthodontic loading and plays a role during OTM, likely via negative regulation of inflammatory response and bone turnover. Exploring roles of autophagy in OTM holds great promise, as aberrant autophagy is associated with periodontal disease and its related systemic inflammatory disorders.

Randomized clinical trial of a conventional and a digital workflow for the fabrication of interim crowns: An evaluation of treatment efficiency, fit, and the effect of clinician experience.

STATEMENT OF PROBLEM: Limited information is available regarding the fabrication of tooth-supported interim single crowns (SCs) with either a digital or a conventional workflow. PURPOSE: The purpose of this randomized clinical trial was to compare the time efficiency and fit of interim crowns fabricated by using either a digital or a conventional workflow. MATERIAL AND METHODS: Forty participants in need of posterior tooth-supported SCs were enrolled and randomly allocated to either the digital or conventional group. In the digital group, the interim SCs were fabricated by using digital sextant scans and computer-aided design and computer-aided manufacturing (CAD-CAM) technology without definitive casts. The conventional group included conventional impressions and direct fabrication of the interim restorations intraorally. Five experienced and 5 less experienced clinicians were randomly assigned to fabricate the interim SCs. The total fabrication time (laboratory and clinical) was recorded for time efficiency. The fit assessment included marginal fit, proximal contact, occlusal contact, and crown morphology. The evaluated parameters were analyzed with the Mann-Whitney U Test (α=.05). RESULTS: The digital workflow required significantly less total fabrication time (laboratory and clinical) than the conventional workflow (P<.001). The less-experienced clinicians needed longer clinical time with the conventional workflow than the experienced ones (P=.023). In contrast, the laboratory time and total fabrication time were shorter for less-experienced clinicians using the digital workflow (P=.005 and P=.015). The interim SCs fabricated with the digital workflow had significantly better fit and occlusal contacts than those fabricated with the conventional workflow (P=.005 and P<.001). With the digital workflow, the interim SCs made by less-experienced clinicians were of the same quality as those made by experienced clinicians. When using the conventional workflow, the fit of the experienced clinicians was significantly better than that of the less-experienced clinicians. CONCLUSIONS: The interim SCs fabricated with a digital workflow required a shorter fabrication time and resulted in better fit than those fabricated with a conventional workflow, especially for less-experienced clinicians.

Correlation Between Previous Caesarean Section and Adverse Maternal Outcomes Accordingly With Robson Classification: Systematic Review and Meta-Analysis.

Background: The increasing rates of Caesarean section (CS) beyond the WHO standards (10-15%) pose a significant global health concern. Objective: Systematic review and meta-analysis to identify an association between CS history and maternal adverse outcomes for the subsequent pregnancy and delivery among women classified in Robson classification (RC). Search Strategy: PubMed/Medline, EbscoHost, ProQuest, Embase, Web of Science, BIOSIS, MEDLINE, and Russian Science Citation Index databases were searched from 2008 to 2018. Selection Criteria: Based on Robson classification, studies reporting one or more of the 14 adverse maternal outcomes were considered eligible for this review. Data Collection: Study design data, interventions used, CS history, and adverse maternal outcomes were extracted. Main Results: From 4,084 studies, 28 (n = 1,524,695 women) met the inclusion criteria. RC group 5 showed the highest proportion among deliveries followed by RC10, RC7, and RC8 (67.71, 32.27, 0.02, and 0.001%). Among adverse maternal outcomes, hysterectomy had the highest association after preterm delivery OR = 3.39 (95% CI 1.56-7.36), followed by Severe Maternal Outcomes OR = 2.95 (95% CI 1.00-8.67). We identified over one and a half million pregnant women, of whom the majority were found to belong to RC group 5. Conclusions: Previous CS was observed to be associated with adverse maternal outcomes for the subsequent pregnancies. CS rates need to be monitored given the prospective risks which may occur for maternal and child health in subsequent births.

Randomized Controlled Clinical Trial to Compare Posterior Implant-Supported Modified Monolithic Zirconia and Metal-Ceramic Single Crowns: One-Year Results.

PURPOSE: The purpose of this randomized controlled clinical trial was to investigate the prosthetic outcomes of posterior implant-supported single crowns (SCs) with a modified monolithic zirconia or metal-ceramic design at 1 year of loading. MATERIALS AND METHODS: Forty participants with 73 dental implants in need of at least 1 maxillary or mandibular posterior implant-supported SC were consecutively selected for this study. The included participants were randomly divided into modified monolithic zirconia (MMZ) and metal-ceramic (MC) groups. The implant-supported SCs were examined after 1 year for survival and technical complications. Descriptive statistics were used to illustrate the data, and the association associated risks of complications were estimated using the logistic regression model with Firth's approach for rare outcome (α = 0.05). RESULTS: During the observation period, 2 participants in the MC group were lost to follow-up. A total of 38 participants with 70 posterior implant-supported SCs (36 and 34 SCs in the MMZ and MC groups respectively) completed the 1-year follow-up examination. One implant failed in the MMZ group. The 1-year survival rates for implants and crowns were both 97.2% in the MMZ group. The survival rates for implants and crowns were both 100% in the MC group. One screw loosening event was observed in one screw-retained SC in the MMZ group; however, 8 complication events occurred in 7 SCs in the MC group. Therefore, the complication-free rates were 97.1% and 79.4% in the MMZ and MC SCs respectively. The most common complication in the MC group was screw loosening (14.7%), followed by loss of retention (5.9%), and ceramic fracture (2.9%). Significantly more technical complications were observed in the MC SCs than MMZ SCs (p = 0.0432). CONCLUSION: The modified monolithic zirconia design applied to the posterior implant-supported SCs had a significantly lower technical complication rate than did the metal-ceramic one.

Clinical Results and Technical Complications of Posterior Implant-Supported Modified Monolithic Zirconia Single Crowns and Short-Span Fixed Dental Prostheses: A 2-Year Pilot Study.

PURPOSE: The purpose of this clinical trial was to investigate the clinical outcomes of implant-supported modified monolithic zirconia single crowns (SCs) and short-span fixed dental prostheses (FDPs) after a follow-up of 2 years. MATERIALS AND METHODS: Twenty-seven patients in need of implant-supported SCs or 3-unit FDPs in the posterior maxilla or mandible were consecutively selected for this study. A total of 56 modified monolithic zirconia prostheses including 44 SCs (8 screw-retained, 36 cement-retained) and twelve 3-unit FDPs (5 screw-retained, 7 cement-retained) were included in this study. All patients were followed at 6 months, 12 months, 18 months, and 2 years after placement of the modified monolithic zirconia prostheses. During the follow-up period, all prostheses were evaluated with clinical and radiographic examinations. The following technical parameters were assessed: framework fracture, fracture of veneering porcelain, screw loosening, loss of retention because of prosthesis de-cementation and opposing tooth fracture. RESULTS: No implant was lost during the follow-up period, yielding a 2-year implant survival of 100%. One FDP failed because of framework fracture. The overall prosthesis survival rate was 98.2% after 2 years of clinical service. During the study, 5 complication events were observed in 3 SCs and one FDP, including one fracture of veneering porcelain and 2 screw loosenings in 3 SCs, and loss of retention and opposing tooth fracture in the same FDP. Therefore, the complication-free rate of prostheses was 91.1%. CONCLUSION: According to the results of this study, the modified monolithic zirconia design used in this study resulted in a favorable short-term outcome for posterior implant-supported SCs and 3-unit FDPs.

[Applying root cause analysis to promote the medication safety of continuous drug infusions for infants].

BACKGROUND & PROBLEMS: An adverse medication event involving a continuous drug infusion dosage error was reported in the infant intensive care unit of our hospital in 2010. The causes of this adverse medication event were elicited in the healthcare network using root cause analysis. These causes included incomplete procedures and incorrect prescription, an incomplete procedure of medication in continuous drug infusion, complex procedures in confirming prescription, the transcription of doctor's orders and prescription (i.e., kardex), and deficient knowledge of medication procedures exhibited by clinical nurses. PURPOSES: The main purpose of this project was to achieve a 100% completion rate for nurse administrations of continuous intravenous medication and zero adverse medication events. RESOLUTIONS: Strategies included simplifying the prescription verification process, establishing regulations for drug prescription, standardizing the steps required for continuous intravenous medication administration, developing the dosage criteria for continuous intravenous medication, and developing a double-check mechanism for high-risk medications. In addition, relevant nurse's continuous educational programs were provided to help nurses effectively implement drug administration. RESULTS: The completion rate for administering the medication steps has increased to 99% and the compliance rate for pediatricians' orders regarding medication prescription has increased to 96%. Furthermore, no additional adverse medication events were observed after the intervention. CONCLUSIONS: This project established a systemic drug administration mechanism to promote communication and cooperation among healthcare teams and further enhanced medication safety and quality for infants.