A mobile app to predict and manage behavioral and psychological symptoms of dementia: Development, usability, and users' acceptability.

Objective: Non-pharmacological interventions are considered the first-line treatment for behavioral and psychological symptoms of dementia (BPSD); however, traditional approaches have shown only small effect sizes. Mobile technology offers an opportunity to improve BPSD assessment and management in people living with dementia (PLWD). We aimed (1) to develop a mobile application (app) featuring a real-time BPSD diary, machine-learning-based BPSD prediction, and individualized non-pharmacological care programs, including therapeutic use of music and reminiscent content, and (2) to test its usability, acceptability, and preliminary efficacy among PLWD and caregivers. Methods: An Android-based app was developed through the following three phases: (1) needs assessment, (2) software development and initial testing with experts, and (3) beta-testing with end users who were dyads of PLWD and caregivers. The preliminary efficacy, usability, and acceptability of the app were assessed using validated BPSD questionnaires and face-to-face interviews with the dyads. Logs of the dyads' program participation (i.e., types, time, and duration), BPSD diaries, and engagement levels of PLWD were also collected through the app. Results: Five dyads created BPSD diaries (range: 22-48) over 3 weeks. Overall, the BPSD symptoms decreased after the beta-testing period. Each dyad participated in the care programs for 106-204 min, during which music alone was most frequently used. Engagement levels ranged from 3.38 to 4.94 (out of 5). Conclusions: The app was deemed usable, acceptable, and feasible for PLWD and caregivers. The upgraded app will be further tested and can be easily implemented at home or in the community.

Impact of a Nationwide Medication History Sharing Program on the Care Process and End-User Experience in a Tertiary Teaching Hospital: Cohort Study and Cross-Sectional Study.

Background: Timely and comprehensive collection of a patient's medication history in the emergency department (ED) is crucial for optimizing health care delivery. The implementation of a medication history sharing program, titled "Patient's In-home Medications at a Glance," in a tertiary teaching hospital aimed to efficiently collect and display nationwide medication histories for patients' initial hospital visits. Objective: As an evaluation was necessary to provide a balanced picture of the program, we aimed to evaluate both care process outcomes and humanistic outcomes encompassing end-user experience of physicians and pharmacists. Methods: We conducted a cohort study and a cross-sectional study to evaluate both outcomes. To evaluate the care process, we measured the time from the first ED assessment to urgent percutaneous coronary intervention (PCI) initiation from electronic health records. To assess end-user experience, we developed a 22-item questionnaire using a 5-point Likert scale, including 5 domains: information quality, system quality, service quality, user satisfaction, and intention to reuse. This questionnaire was validated and distributed to physicians and pharmacists. The Mann-Whiteny U test was used to analyze the PCI initiation time, and structural equation modeling was used to assess factors affecting end-user experience. Results: The time from the first ED assessment to urgent PCI initiation at the ED was significantly decreased using the patient medication history program (mean rank 42.14 min vs 28.72 min; Mann-Whitney U=346; P=.03). A total of 112 physicians and pharmacists participated in the survey. Among the 5 domains, "intention to reuse" received the highest score (mean 4.77, SD 0.37), followed by "user satisfaction" (mean 4.56, SD 0.49), while "service quality" received the lowest score (mean 3.87, SD 0.79). "User satisfaction" was significantly associated with "information quality" and "intention to reuse." Conclusions: Timely and complete retrieval using a medication history-sharing program led to an improved care process by expediting critical decision-making in the ED, thereby contributing to value-based health care delivery in a real-world setting. The experiences of end users, including physicians and pharmacists, indicated satisfaction with the program regarding information quality and their intention to reuse.

Development of machine-learning models using pharmacy inquiry database for predicting dose-related inquiries in a tertiary teaching hospital.

BACKGROUND: Drug-related problems (DRPs) are a significant concern in healthcare. Pharmacists play a vital role in detecting and resolving DRPs to improve patient safety. A pharmacy inquiry program was established in a tertiary teaching hospital to document inquiries about physicians' orders, aimed at preventing potential DRPs or providing medication information during order reviews. OBJECTIVE: We aimed to develop machine-learning models using a pharmacy inquiry database to predict dose-related inquiries based on prescriptions and patient information. METHODS: This retrospective study analyzed 20,393 pharmacy inquiries collected between January 2018 and February 2023. Data included prescription information (drug ingredient, dose, unit, and frequency), patient characteristics (age, sex, weight, and department), and renal function. The inquiries were categorized into two classes: dose-related inquiries (e.g., wrong dose and inappropriate regimen) and non-dose-related inquiries (e.g., inappropriate drug form and administration route). Six machine-learning models were developed: logistic regression, support vector classifier, decision tree, random forest, extreme gradient boosting, and categorical boosting. To evaluate the performance of the models, the area under the receiver operating characteristic curve and the accuracy were compared. RESULTS: The CatBoost model achieved the highest performance (sensitivity: 0.92; accuracy: 0.79). The SHapley Additive exPlanations values highlighted the importance of features in the model predictions, drug ingredients, units, and renal function, in that order. Notably, lower renal function positively contributed to the prediction of dose-related inquiries. Additionally, the subsequent feature importance among drug ingredients showed that drugs such as acetylsalicylic acid, famotidine, metformin, and spironolactone strongly influenced the prediction of dose-related inquiries. CONCLUSION: Machine-learning models that use pharmacy inquiry data can effectively predict dose-related inquiries. Further external validation and refinement of the models are required for broader applications in healthcare settings. These findings provide valuable guidance for healthcare professionals and highlight the potential of machine learning in pharmacists' decision-making.

False-positive results of galactomannan assays in patients administered glucose-containing solutions.

Galactomannan (GM) is a polysaccharide cell wall component released by Aspergillus spp., and an immunoenzymatic GM assay is used for the diagnosis of invasive pulmonary aspergillosis. We evaluated the cause of strong positivity for GM in patients with no typical signs of aspergillosis. Repeat assays were performed using different instruments and reagent lots, but there were no differences in results among the assays. Patients with strongly positive GM results were investigated. Medication histories revealed that 14 of 23 patients had been administered total parenteral nutrition solution from one manufacturer and 4 patients had been administered dextrose solution from a different manufacturer before being tested. The results of GM assays conducted on samples of dextrose solution and the glucose fraction of the total parenteral nutrition solution were strongly positive, confirming the causes of the false-positive reactions. We hypothesize that a trace amount of GM was introduced into the glucose-containing solutions because glucoamylase, which is necessary for the saccharification step of glucose synthesis, was derived from Aspergillus niger. To enhance patient care and prevent unnecessary antifungal prescriptions, healthcare providers and manufacturers of healthcare products need to be aware of the possibility of false-positive reactions for GM.

Symptom-specific non-pharmacological interventions for behavioural and psychological symptoms of dementia: protocol of an umbrella review of systematic reviews of randomised controlled trials.

INTRODUCTION: There are various non-pharmacological interventions for dementia care. However, healthcare providers continue to face challenges in determining the most suitable interventions for the behavioural and psychological symptoms of dementia (BPSD), which vary according to individuals. This umbrella review aims to identify and summarise the effective non-pharmacological interventions for each sub-symptom to provide individualised, evidence-based recommendations for clinical practice. METHODS AND ANALYSIS: This review follows the guideline of the Cochrane methodology for umbrella reviews. It focuses only on systematic reviews (SRs) with or without a meta-analysis of randomised controlled trials. Five electronic databases: PubMed, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO and Cochrane Database, will be searched. The screened SRs will be determined for eligibility by the PICO formulation: (Population) older adults with dementia of any type; (Intervention) all types of non-pharmacological intervention; (Comparison) usual care or other non-pharmacological intervention; and (Outcome) BPSD and its sub-symptoms. The quality of the individual SRs will be appraised using A Measurement Tool to Assess Systematic Reviews 2. The overlap of primary studies will also be considered by eliminating an old-date SR conducted by the same authors with the same interest and calculating the Corrected Covered Area. Data will be extracted according to the pre-determined formula, which will organise non-pharmacological interventions according to the sub-symptoms of BPSD and not according to the type of intervention. ETHICS AND DISSEMINATION: Since this is a review paper, ethical approval is not required. The findings of this review will be disseminated through publication in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42022340930.

Evaluation of Pharmacy Inquiries in Physician Order Reviews for Medication Safety: A Cross-Sectional Study.

BACKGROUND AND OBJECTIVES: Despite the effort to prevent drug-related problems (DRPs) in healthcare settings, prescribing errors are common in the medication use process. In a Korean teaching hospital, pharmacists verify prescription orders during their routine order review process and document the details in a homegrown health information system (HIS). The objectives of this study were to identify the annual trends in pharmacy inquiries and to evaluate the prevalence of the inquiries by drug ingredients, including a description of the "pharmacy inquiry" screen in the HIS. MATERIALS AND METHODS: A retrospective cross-sectional study was conducted to describe pharmacy inquiries related to preventing potential DRPs during order reviews and to evaluate the associated factors for discontinuation of prescription orders on medication among inquiries using data from January 2008 to December 2021. A descriptive analysis was performed using 128,188 inquiries, documented by 245 pharmacists for 14 years. RESULTS: The frequency of inquiry steadily increased annually. The most frequent cause was "inappropriate dose or regimen" (49.1%) and "piperacillin and beta-lactamase inhibitor" was the most mentioned drug ingredient in the inquiries (3.4%). The overall acceptance rate of the pharmacists' recommendation was 82.4%, and the cause of the highest acceptance was "inappropriate mix solution" (96.5%). Hospitalization and certain inquiry topics were significantly associated with discontinuation of prescription orders on inquired medications by clinicians. CONCLUSIONS: The findings indicate that pharmacy inquiries with integrated HIS could resolve inaccuracy during physicians' order reviews and ensure safe patient care. As a tool for preventing prescribing errors, the pharmacy inquiry data can help maximize consistent improvement and optimize the medication use process in healthcare settings.

Continuity of care with a one-click medication history program: Patient's in-home medications at a glance.

BACKGROUND & AIMS: The timely and complete identification of patients' own medications (POMs) at the point of initial encounter at an emergency department (ED) or during hospital admission has been challenging globally. Hence, we aimed to make the process of complete identification of POMs more accurate and efficient, thereby allowing hospitals and emergency departments to serve incoming patients better. METHODS: We developed a new program called "Patient's In-home Medications at a Glance", which was built in a homegrown health information system (BESTCare®) to reduce the time taken by ED clinicians to identify POMs. As the system was linked to nationwide personal medication records provided by the Healthcare Insurance Review and Assessment Service in South Korea, it enabled rapid collection and compilation of patients' detailed medication history for a year by any healthcare providers. RESULTS: The program development was described with a screen layout and the impact on the time required to identify patients' medication list was evaluated. Pearson's chi-squared test showed that the timely identification of POMs within 24 h of an ED visit significantly improved from 26 patients in the four-month pre-intervention period to 776 patients in the three-month post-intervention period (p < 0.001). CONCLUSION: We believe that the program improved the decision-making process in the ED to establish subsequent care plans and supported healthcare professionals as an effective and responsible hands-off process.

Healthcare Quality Improvement Analytics: An Example Using Computerized Provider Order Entry.

Evaluation of sustainability after quality improvement (QI) projects in healthcare settings is an essential part of monitoring and future QI planning. With limitations in adopting quasi-experimental study design in real-world practice, healthcare professionals find it challenging to present the sustained effect of QI changes effectively. To provide quantitative methodological approaches for demonstrating the sustainability of QI projects for healthcare professionals, we conducted data analyses based on a QI project to improve the computerized provider order entry system to reduce patients' dosing frequencies in Korea. Data were collected for 5 years: 24-month pre-intervention, 12-month intervention, and 24-month post-intervention. Then, analytic approaches including control chart, Analysis of Variance (ANOVA), and segmented regression were performed. The control chart intuitively displayed how the outcomes changed over the entire period, and ANOVA was used to test whether the outcomes differed between groups. Last, segmented regression analysis was conducted to evaluate longitudinal effects of interventions over time. We found that the impact of QI projects in healthcare settings should be initiated following the Plan-Do-Study-Act cycle and evaluated long-term effects while widening the scope of QI evaluation with sustainability. This study can serve as a guide for healthcare professionals to use a number of statistical methodologies in their QI evaluations.

Association of asthma comorbidity with poor prognosis of coronavirus disease 2019.

BACKGROUND: While global health agencies have listed asthma as a vulnerability for severe cases of coronavirus disease 2019 (COVID-19), the evidence supporting this is scarce. METHODS: A nationwide cohort study was conducted using the validated Korean national health insurance claim data of patients diagnosed with COVID-19 between January 1 and April 8, 2020. Asthma comorbidity was determined using a diagnosis code assigned by the physician and the prescription of asthma-related medications. The clinical course of COVID-19 was classified into 3 severity grades according to the requirements for oxygen supply and mechanical ventilation. We also evaluated the association of asthma with overall and in-hospital mortality of COVID-19. RESULTS: Asthma morbidity was a significant risk factor for severe COVID-19 (grade 2 requiring oxygen supply) (adjusted odds ratio [aOR] = 1.341, 95% confidence interval [CI], 1.051-1.711, P = 0.018) and grade 3 requiring mechanical ventilation or leading to death (aOR = 1.723, 95% CI: 1.230-2.412, P = 0.002) multinomial logistic regression adjusting co-risk factors. Asthma was also significantly associated with mortality of COVID-19 (aOR = 1.453, 95% CI: 1.015-2.080, P = 0.041) and was revealed to have a shorter time to in-hospital mortality of COVID-19 (P < 0.001). Patients with recent asthma exacerbation showed more severe COVID-19 of grade 3 (OR = 7.371, 95% CI: 2.018-26.924, P = 0.003) and higher mortality (OR = 9.208, 95% CI: 2.597-32.646, P < 0.001) in univariable analysis, but the statistical significance was not found in multivariable analysis. CONCLUSION: Asthma morbidity was associated with severity and mortality of COVID-19. Patients with asthma should pay more attention to avoid worsening of COVID-19.

The Effect of Regimen Frequency Simplification on Provider Order Generation: A Quasi-Experimental Study in a Korean Hospital.

The multiplicity of dosing frequencies that are attached to medication orders poses a challenge to patients regarding adhering to their medication regimens and healthcare professionals in maximizing the efficiencies of health care service delivery. A multidisciplinary team project was performed to simplify medication regimens to improve the computerized physician order entry (CPOE) system to reduce the dosing frequencies for patients who were discharged from the hospital. A 36-month pre-test-post-test study was performed, including 12-month pre-intervention, 12-month intervention, and 12-month post-intervention periods. Two-pronged strategies, including regimen standardization and prioritization, were devised to evaluate the dosing frequencies and prescribing efficiency. The results showed that the standardized menu reduced the dosing frequencies from 4.3 ± 2.2 per day in the pre-intervention period to 3.5 ± 1.8 per day in the post-intervention period (p < 0.001). In addition, the proportion of patients taking medications five or more times per day decreased from 40.8% to 20.7% (p < 0.001). After prioritizing the CPOE dosing regimen, the number of pull-down options that were available reflected an improvement in the prescribing efficiency. Our findings indicate that concerted efforts in improving even a simple change on the CPOE screen via standardization and prioritization simplified the dosing frequencies for patients and improved the physicians' prescribing process.

Bridging Policy and Service Performance of Hospital-Based Nutrition Support by Healthcare Information Technology.

Although the healthcare policy was implemented to incentivize the multidisciplinary services of hospital-based nutrition support team (NST) in South Korea, timely completion of the services has been challenging in the hospitals. We enhanced NST healthcare information technology (NST-HIT) to bridge the gap between policy implementation and seamless execution of the policy in the hospital system. A 48 month pre-test-post-test study was performed, including a 12 month pre-intervention period, a six month intervention period, and a 30 month post-intervention period. The enhanced NST-HIT provided sufficient patient data and streamlined communication processes among end-users. A Student's t-test showed that the timely completion rate of NST consultations, the reimbursement rate of NST consultations, average response times of NST physicians and nurses, and length of hospital stay significantly improved during the post-intervention period. A segmented regression analysis of interrupted time series showed that the average response times of NST physicians had sustained after the interventions. We believe that well-structured, multi-pronged initiatives with leadership support from the hospital improved service performance of hospital NST in response to national-level healthcare policy changes.

Hospitalized Patients Accessing Information on Prescribed Medications from the Bedside Terminal: A Cross-Sectional Study.

Studies have documented the impact of various types of health care information technology (HIT) on patient outcomes. However, literature on the HIT products is largely for outpatients and little is known about those for hospitalized patients. In 2014, a Korean hospital developed an inpatient portal known as the Smart Bedside Station (SBS). A retrospective cross-sectional study was conducted to evaluate the associated factors for accessing the medication view menu (Today's Medication) on the SBS using data from October 2018 through September 2019. A root cause analysis with expert review was conducted to identify additional barriers for accessing the medication view menu. Approximately 92.58% of the study population accessed the SBS at least once during their hospital stay. However, 99.20% of accessed patients used the SBS for entertainment purposes (e.g., television) and 40.16% viewed the medication information. Younger age, higher education, and certain jobs were significant associated factors for accessing the medication information. In conclusion, this study revealed strong associations between accessing the medication view menu on the SBS and a number of associated factors. Based on the results, further research is warranted to suggest new items to access the medication view menu by hospitalized patients.

Nutritional support and clinical outcomes in critically ill patients supported with veno-arterial extracorporeal membrane oxygenation.

BACKGROUND & AIMS: Patients undergoing veno-arterial extracorporeal membrane oxygenation (VA-ECMO) are likely to be develop malnutrition because of catabolism and protein consumption. Administration of appropriate nutrition to these patients is difficult because of hemodynamic instability and multiorgan failure. The aim of this study was to evaluate the relationship between nutritional supply and clinical outcomes in patients undergoing VA-ECMO. METHODS: Patients who received VA-ECMO in a single tertiary teaching hospital between 2013 and 2018 were reviewed retrospectively. Linear regression and Cox regression were performed to assess the relationship between the following factors and clinical outcomes: sex, age, BMI, modified nutrition risk in the critically ill (mNUTRIC) score, sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation (APACHE II) score, ENCOURAGE score, daily average achievement of an energy target (%), and average protein intake during the first week and second week. RESULTS: Forty-one patients were included. Patients on VA-ECMO received lower amounts of energy and protein in the first week than in the second week (33.9 vs 77.7% target/day, 0.24 vs. 0.74 g/kg/day) and achieved 70% of their energy requirement at a median of 8 days after the initiation of VA-ECMO. Multiple Cox regression analysis revealed an association among energy received daily during the second week of VA-ECMO, mNUTRIC score, and 90-day mortality (hazard ratio, 0.82, 95% confidence interval [0.69-0.97], P = 0.018 vs. hazard ratio, 1.51, 95% confidence interval [1.06-2.15], P = 0.022). CONCLUSION: In VA-ECMO patients, when the daily average energy intake increased by 10% of the target over 8-14 days, the 90-day mortality decreased by 18%.

The sequential management of recurrent temporomandibular joint ankylosis in a growing child: a case report.

BACKGROUND: Temporomandibular joint (TMJ) ankylosis in children often leads to facial deformity, functional deficit, and negative influence of the psychosocial development, which worsens with growth. The treatment of TMJ ankylosis in the pediatric patient is much more challenging than in adults because of a high incidence of recurrence and unfavorable growth of the mandible. CASE REPORT: This is a case report describing sequential management of the left TMJ ankylosis resulted from trauma in early childhood. The multiple surgeries including a costochondral graft and gap arthroplasty using interpositional silicone block were performed, but re-ankylosis of the TMJ occurred after surgery. Alloplastic TMJ prosthesis was conducted to prevent another ankylosis, and signs or symptoms of re-ankylosis were not found. Additional reconstruction surgery was performed to compensate mandibular growth after confirming growth completion. During the first 3 years of long-term follow-up, satisfactory functional and esthetic results were observed. CONCLUSIONS: This is to review the sequential management for the recurrent TMJ ankylosis in a growing child. Even though proper healing was expected after reconstruction of the left TMJ with costal cartilage graft, additional surgical interventions, including interpositional arthroplasty, were performed due to re-ankylosis of the affected site. In this case, alloplastic prosthesis could be an option to prevent TMJ re-ankylosis for growing pediatric patients with TMJ ankylosis in the beginning.

Changes of the Airway Space and the Position of Hyoid Bone after Mandibular Set Back Surgery Using Bilateral Sagittal Split Ramus Osteotomy Technique.

PURPOSE: Although there have been several studies of reduced airway space after mandibular setback surgery using the sagittal split ramus osteotomy technique, research on the risk factors for changes of the airway space is lacking. Therefore, this study was performed to examine airway changes and the position of the hyoid bone after orthognathic surgery, and to assess possible risk factors. METHODS: In this retrospective study, 50 patients who underwent posterior displacement of the mandible by the bilateral sagittal split ramus osteotomy technique were included. Changes of the position of the hyoid bone and the airway space were analyzed over various follow-up periods, using cephalometric radiography taken preoperatively, immediately after surgery, eight weeks after surgery, six months after surgery, and one year after surgery. To identify risk factors, multiple regression analysis of age, gender, body mass index (BMI), posterior mandibular movement, and the presence of genioplasty was performed. RESULTS: Inferor and posterior movement of the hyoid bone was observed postoperatively, but subsequent observations showed regression towards the anterosuperior aspect. The airway space also significantly decreased after surgery (P <0.05), and increased slightly up until six months after surgery. The airway space significantly decreased (ß=0.47, P <0.01) as the amount of mandibular setback increased. However, age, sex, BMI, and presence of genioplasty were not associated with airway reduction. CONCLUSION: The amount of mandibular set back was significantly associated with postoperative reduction of airway space. It is necessary to establish a treatment plan considering this factor.