OBJECTIVES

This study determined the prevalence of BBD among toilet-trained children attending a tertiary hospital’s pediatric outpatient clinic, and to evaluate the effectiveness of standard urotherapy among affected children.

A prospective interventional study was conducted among 144 toilet-trained children aged 7 to 12 years seen at the University of Santo Tomas Hospital outpatient clinic from August 2025 to September 2025. Sociodemographic data were collected, and BBD was screened using the validated Filipino version of the Dysfunctional Voiding Symptom Scores (DVSS) questionnaire. Children with BBD underwent standard urotherapy, which included behavioral and lifestyle interventions such as timed voiding, adequate hydration, constipation management and proper voiding posture. DVSS assessments were repeated at two and four weeks.

The overall prevalence of BBD was 22.9% (33 of 144). BBD was significantly more prevalent among females (31.88%) than males (14.67%) (adjusted OR = 2.96, 95% CI: 1.28–6.86; p = 0.011). At baseline, children with BBD had significantly higher mean total DVSS scores (9.15 ± 3.64) compared to those without (2.01 ± 1.80, pCONCLUSION

Standard urotherapy proved effective in reducing symptom scores within two weeks and resulted in complete clinical resolution after four weeks among those who continued therapy. Routine screenings for BBD using DVSS and early initiation of standard urotherapy in pediatric outpatient settings are recommended to prevent complications and improve children’s urinary and bowel health.

BACKGROUND AND OBJECTIVE

Access to healthcare remains a challenge in most areas in the Philippines. Fifty-three percent (53%) of the Philippine population do not have access to a rural health unit (RHU) within a 30-minute travel t ime. As a response, the Department of Health (DOH) needs to construct an additional 2400 RHUs by 2025. This paper uses the Philippine Health Facility Development Plan 2020-2040 (PHFDP) as a reference to present a solution for locating sites for RHU placement in under-served areas using neural networks to meet the 30-minute travel time by maximizing population accessibility.

RHU accessibility was measured using geographic attributes as inputs to a back propagation neural network (BPNN) and a recurrent neural network (RNN): (1) land coverage and hazard data, representing geographical limitations; (2) population density and distribution, indicating demand for healthcare services; and (3) infrastructure-related features, such as road networks, points of interest, and the locations of existing RHUs, which influence healthcare accessibility. The models were trained to identify underserved areas and were implemented on a nationwide scale, excluding NCR, to locate candidate areas to increase population access to the new RHUs. The models were validated using a healthcare facility accessibility index (HCFAI) to assess RHU coverage improvement.

The BPNN showed stronger generalization across regions, achieving 79.1% average accuracy in distinguishing low from high accessible areas on Region 1 and identifying 1668 out of 3305 locations in the region as candidate sites. The RNN, better capturing unique regional characteristics, required separate training: 77.2% average accuracy on Region 1, identifying 1593 candidate sites. Our findings suggest expanding the use of land improves population access to healthcare facilities. Both models found more than the needed number of RHUs by 2040. The BPNN was more consistent than RNN to improve a region’s overall accessibility by increasing the HCFAI. The BPNN can increase population access to an RHU from 2.5-98.5% from its original population with access to an RHU.

The study demonstrates the usage of geographic attributes and neural networks to improve healthcare accessibility. The BPNN and RNN are adequate algorithms to find under-served areas and candidate sites for RHU construction to maximize population accessibility. The HCFAI metric validates the locations to highlight which neural network maximizes more of the region’s populat ion. The study contributes to ongoing efforts to improve healthcare infrastructure and accessibility, offering datadriven recommendations for RHU locations.

OBJECTIVE: To design a portable respiratory device for transporting premature infants and explore its application effect in the in-hospital transportation of extremely premature infants in primary hospitals. METHODS: A prospective randomized controlled trial was conducted. The extremely premature infants born and transferred to neonatal intensive care unit (NICU) with oxygen therapy support from May to October in 2023 were selected and randomly divided into control group and observation group. The infants in the control group received respiratory support and in-hospital transportation using a traditional T-combination resuscitator connected to pure oxygen, and those in the observation group used a portable premature infant transport respiratory device designed and manufactured by medical staff to provide respiratory support and implement in-hospital transportation. The respiratory device for transporting premature infants is made of 304 stainless steel material, mainly consisting of a T-combination resuscitator, an air oxygen mixer, an air tank, a pure oxygen cylinder, a pressure reducing valve, a telescopic rod, a tray, a hook, a bottom plate, and four moving wheels, which can achieve precise control of the fraction of inspired oxygen (FiO₂) during transportation. The achievement rate of first-time target pulse oxygen saturation (SpO₂, achieving a target SpO₂ of 0.90-0.95 was considered as meeting the standard) and arterial partial pressure of oxygen (PaO₂) after being transferred to the NICU, as well as the manpower expenditure and time required for transportation of pediatric patients between the two groups were observed. RESULTS: A total of 73 extremely premature infants were enrolled, including 38 in the control group and 35 in the observation group. There was no significant difference in the gender, gestational age at birth, birth weight, mode of delivery, Apgar score at 1 minute and 5 minutes after birth, and oxygen therapy during the transportation between the two groups. The achievement rate of first-time target SpO₂ after NICU in the observation group was significantly higher than that in the control group [94.29% (33/35) vs. 26.32% (10/38), P < 0.05], the PaO₂ control range was better [mmHg (1 mmHg = 0.133 kPa): 85.50±6.36 vs. 103.00±2.83, P < 0.05], manpower expenditure and time required for transportation were significantly reduced [manpower expenditure (number): 2.14±0.35 vs. 3.17±0.34, time required for transportation (minutes): 10.42±0.76 vs. 15.54±0.34, both P < 0.05]. CONCLUSIONS The portable respiratory device for transporting premature infants is used for respiratory support during the transportation of extremely premature infants in primary hospitals. It can improve the achievement rate of target SpO₂, control PaO₂ within the target range, and avoid hypoxia or hyperoxia during transportation. The breathing apparatus is compact, easy to carry, can save labor resources and time during transport, is cost-effective, and is suitable for widespread application in primary hospitals.
Humans ; Infant, Newborn ; Transportation of Patients ; Prospective Studies ; Equipment Design ; Infant, Extremely Premature ; Intensive Care Units, Neonatal ; Infant, Premature

OBJECTIVE: To construct and validate a prognostic prediction model for children with sepsis using the Phoenix sepsis score (PSS). METHODS: A retrospective case series study was conducted to collect clinical data of children with sepsis admitted to the pediatric intensive care unit (PICU) of the Affiliated Hospital of Guizhou Medical University from January 2022 to April 2024. The data included general information, the worst values of laboratory indicators within the first 24 hours of PICU admission, PSS score, pediatric critical illness score (PCIS), and the survival status of the children within 30 days of admission. The statistically significant indicators in univariate Logistic regression analysis were included in multivariate Logistic regression analysis to screen the risk factors affecting the prognosis of children with sepsis and construct a nomogram model. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive performance of the model. The Bootstrap method was used to perform 1 000 repeated sampling internal verification and draw the calibration curve of the model. RESULTS: A total of 199 children with sepsis were included, of which 32 died and 167 survived 30 days after admission. In the univariate Logistic regression analysis, shock, white blood cell count (WBC), international normalized ratio (INR), lactic acid (Lac), PSS score, and PCIS score were identified as statistically significant predictors. These variables were then included in the multivariate Logistic regression analysis, which demonstrated that shock [odds ratio (OR) = 4.258, 95% confidence interval (95%CI) was 1.049-17.288], WBC (OR = 1.124, 95%CI was 1.052-1.210), and PSS score (OR = 1.977, 95%CI was 1.298-3.012) were independent risk factors for mortality in pediatric patients with sepsis (all P < 0.05). A nomogram model was constructed based on these three risk factors, with the model equation as follows: -4.809+1.449×shock+0.682×PSS score+0.117×WBC. The calibration curve results showed that the model's predictions were highly consistent with the actual observations. The ROC curve showed that when the Youden index of the prediction model was 0.792, the sensitivity and specificity were 90.6% and 88.6%, respectively, and the area under the curve (AUC) was 0.957 (95%CI was 0.930-0.984), which was higher than the AUC of shock, WBC, and PSS score alone (0.808, 0.667, 0.908, respectively). CONCLUSIONS Shock, WBC, and PSS score have demonstrated certain predictive value for mortality in children with sepsis. The nomogram model based on the above indicators has important clinical significance for evaluating the prognosis and guiding treatment of children with sepsis.
Humans ; Sepsis/diagnosis* ; Prognosis ; Retrospective Studies ; Logistic Models ; Intensive Care Units, Pediatric ; Nomograms ; Child ; ROC Curve ; Risk Factors ; Male ; Female ; Child, Preschool ; Infant

OBJECTIVES: This study aimed to construct an evaluation index system for nursing quality management in outpatient dental clinics based on the structure-process-outcome model and provide an objective standard for the evaluation of nursing quality in outpatient dental clinics. METHODS: Through literature review, multi-subject interviews, and expert meetings, the first draft of the evaluation index for nursing quality management in outpatient dental clinics was formulated. The Delphi method was adopted to select and invite 15 experts in the fields of hospital infection management, nursing management, and specialized oral care from across the country to modify the first draft. RESULTS: The positive coefficients of the experts in the two rounds of consultation were 86.7% and 92.3%, respectively. The total authority coefficients of the experts were 0.791 and 0.717, respectively. The mean scores of the importance and feasibility of the third-level indices in the two rounds of consultation were all ≥4.333; the coefficients of variation were all ≤0.150; and the Kendall's coordination coefficients were 0.308 and 0.184 respectively, with P<0.05 for all. These results indicated that the experts were motivated to participate in this study. They recognized the importance and feasibility of the overall items in this index system, and their opinions were relatively consistent. Finally, an evaluation index system, which included 3 first-level indices, 7 second-level indices, 22 third-level indices, and 69 index connotations, for nursing quality management in outpatient dental clinics was determined. The weights of the three first-level indicators were all 0.333. Patient satisfaction (0.076, outcome dimension), hand hygiene (0.061, outcome dimension), chair care ratio (0.057, structural dimension), and turnover rate (0.057, structural dimension) were the top tertiary indicators in terms of portfolio weight. CONCLUSIONS The construction method of the evaluation index system for nursing quality management in outpatient dental clinics is scientific and reliable. It can provide a reference for the evaluation of the management level of nursing quality in outpatient dental clinics and promote the continuous improvement of nursing quality in outpatient dental clinics.
Humans ; Dental Clinics ; Delphi Technique

The establishment and development of neonatal intensive care unit(NICU)have significantly increased the survival rate of premature infants.However,the diagnosis,treatment,and surgeries performed in NICU may expose neonates to more noxious stimuli.As the neonatal period is crucial for brain development,these noxious stimuli may cause irreversible damage to the neonatal nervous system.Existing clinical studies have shown that repetitive noxious stimuli during the neonatal period can lead to poor brain development,persistent hyperalgesia,and various sequelae.However,the underlying mechanisms remain unclear,and effective treatment methods are lacking.This article summarizes the effects of repetitive noxious stimuli during the neonatal period on neural development and the complications,aiming to provide a basis for the neonatal analgesia management and the prevention and treatment of related sequelae.
Humans ; Infant, Newborn ; Brain/growth & development* ; Infant, Premature ; Intensive Care Units, Neonatal ; Hyperalgesia ; Pain

Objective To investigate the effect of health failure mode and effect analysis(HFMEA)in optimizing the management process of postoperative diabetes insipidus in children undergoing neurosurgery.Methods Based on HFMEA,a management flowchart for postoperative diabetes insipidus in children undergoing neurosurgery was created.Brainstorming was adopted to identify failure modes in the workflow,analyze risk factors,and develop improvement measures,thereby refining the management flowchart.The amelioration and prognosis of diabetes insipidus in these children before(October 2022 to November 2023)and after(January 2024 to February 2025)implementation of the management flowchart were compared.Results The HFMEA-based management process for postoperative diabetes insipidus in children undergoing neurosurgery alleviated the symptoms of diabetes insipidus regarding the number of diabetes insipidus in the pediatric intensive care unit(P=0.006),the average daily urine output in the pediatric intensive care unit(P=0.001),the proportion of electrolyte abnormalities at discharge/transfer(P=0.037),the duration of mechanical ventilation(P=0.007),and the length of stay in the intensive care unit(P=0.001).Conclusion The HFMEA-based management process for postoperative diabetes insipidus in children undergoing neurosurgery is beneficial to the optimization of the management process,the alleviation of postoperative diabetes insipidus,and the improvement of prognosis in these children.
Humans ; Diabetes Insipidus/etiology* ; Neurosurgical Procedures/adverse effects* ; Child ; Postoperative Complications/therapy* ; Healthcare Failure Mode and Effect Analysis ; Intensive Care Units, Pediatric ; Risk Factors

OBJECTIVES: Prolonged invasive mechanical ventilation is associated with increased risks of severe complications such as retinopathy of prematurity and bronchopulmonary dysplasia. Although neonatal intensive care unit (NICU) follow the principle of early extubation, extubation failure rates remain high, and reintubation may further increase the risk of adverse outcomes. This study aims to identify risk factors and short-term prognosis associated with first extubation failure in neonates, to provide evidence for effective clinical intervention strategies. METHODS: Clinical data of neonates who received invasive ventilation in the NICU of Children's Hospital of Nanjing Medical University from January 1, 2019, to December 31, 2021, were retrospectively collected. Neonates were divided into a successful extubation group and a failed extubation group based on whether reintubation occurred within 72 hours after the first extubation. Risk factors and short-term outcomes related to extubation failure were analyzed. RESULTS: A total of 337 infants were included, with 218 males (64.69%). Initial extubation failed in 34 (10.09%) infants. Compared with the successful extubation group, the failed extubation group had significantly lower gestational age [(31.37±5.14) weeks vs (34.44±4.07) weeks], age [2.5 (1.00, 8.25) h vs 5 (1.00, 22.00) h], birth weight [(1 818.97±1128.80) g vs (2 432.18±928.94) g], 1-minute Apgar score (6.91±1.90 vs 7.68±2.03), and the proportion of using mask oxygenation after extubation (21% vs 46%) (all P<0.05). Conversely, compared with the successful extubation group, the failed extubation group had significantly higher rates of vaginal delivery (59% vs 32%), caffeine use during mechanical ventilation (71% vs 38%), dexamethasone use at extubation (44% vs 17%), the highest positive end-expiratory pressure level within 72 hours post-extubation [6(5.00, 6.00) cmH₂O vs 5 (0.00, 6.00) cmH₂O] (1 cmH₂O=0.098 kPa), the highest FiO₂ within 72 hours post-extubation [(34.35±5.95)% vs (30.22±3.58)%], and duration of noninvasive intermittent positive pressure ventilation after extubation [0.5 (0.00, 42.00) hours vs 0 (0, 0) hours] (all P<0.05). Multivariate analysis identified gestational age <28 weeks (OR=5.570, 95% CI 1.866 to 16.430), age at NICU admission (OR=0.959, 95% CI 0.918 to 0.989), and a maximum FiO₂≥35% within 72 hours post-extubation (OR=4.541, 95% CI 1.849 to 10.980) as independent risk factors for extubation failure (all P<0.05). Additionally, the failed extubation group exhibited significantly higher incidences of necrotizing enterocolitis grade II or above, moderate-to-severe bronchopulmonary dysplasia, severe bronchopulmonary dysplasia, retinopathy of prematurity, treatment abandonment due to poor prognosis, and discharge on home oxygen therapy (all P<0.05). Total hospital length of stay and total hospitalization costs were also significantly increased in the failed extubation group (all P<0.05). CONCLUSIONS Gestational age <28 weeks, younger age at NICU admission, and FiO₂≥35% after extubation are high-risk factors for first extubation failure in neonates. Extubation failure markedly increases the risk of adverse clinical outcomes.
Humans ; Infant, Newborn ; Male ; Female ; Airway Extubation/adverse effects* ; Risk Factors ; Retrospective Studies ; Respiration, Artificial/methods* ; Intensive Care Units, Neonatal ; Prognosis ; Gestational Age ; Bronchopulmonary Dysplasia ; Infant, Premature ; Treatment Failure ; Intubation, Intratracheal

The intelligent oxygen management system is a software designed with various algorithms to automatically titrate inhaled oxygen concentration according to specific patterns. This system can be integrated into various ventilator devices and used during assisted ventilation processes, aiming to maintain the patient's blood oxygen saturation within a target range. This paper employs a scoping review methodology, focusing on research related to intelligent oxygen management systems in neonatal intensive care units. It reviews the fundamental principles, application platforms, and clinical outcomes of these systems, providing a theoretical basis for clinical implementation.
Humans ; Intensive Care Units, Neonatal ; Infant, Newborn ; Oxygen/administration & dosage* ; Oxygen Inhalation Therapy/methods* ; Respiration, Artificial

BACKGROUND: The efficacy of routine childhood immunization depends on timely vaccine uptake and facility use patterns. This study examined the association between pediatric vaccination facility use patterns and routine childhood immunization uptake among children up to age eight years. METHODS: As part of the Kochi Adjunct Study of the Japan Environment and Children's Study (JECS), we analyzed data from 1,644 participants whose Maternal and Child Health Handbook photographs were collected in the eighth year of the cohort study. Maternal and Child Health Handbook records determined immunization completion. Participants were categorized into four groups based on pediatric vaccination facility use patterns: single facility use throughout, multiple facility use during the first period, multiple facility use during the second period, and multiple facility use throughout both periods. Maternal and child characteristics were collected via paper-based questionnaires. Associations between facility use patterns, sociodemographic factors, and immunization completion were analyzed using chi-square tests and logistic regression. RESULTS: Overall, routine childhood immunization completion was observed in 1,259 (76.6%) participants. Chi-square tests indicated that marital status, educational level, lower parity, never smoking, not attending nursery, and breastfeeding practice for infants aged four months old were significantly associated with routine childhood immunization completion. Single facility use throughout the immunization period was observed in 1,011 (61.5%) participants. Multiple facility use (38.5%) was associated with higher odds of routine childhood immunization incompletion than single facility use. This association was the strongest for those who used multiple facilities throughout the vaccination period (adjusted odds ratio, 1.90; 95% confidence interval, 1.24-2.91). CONCLUSIONS Single pediatric facility use was associated with higher routine immunization uptake. Our findings suggest that encouraging the use of one medical institution for a child's vaccinations may be a useful approach to consider when addressing vaccination coverage challenges.
Humans ; Japan ; Female ; Male ; Infant ; Child, Preschool ; Health Facilities/statistics & numerical data* ; Child ; Vaccination/statistics & numerical data* ; Adult ; Immunization/statistics & numerical data* ; Cohort Studies ; Infant, Newborn