BackgroundHospitalized patients in the United States experience falls at a rate of 2.6 to 17.1 per 1000 patient-days, with the majority occurring when a patient is moving to, from, and around the bed. Each fall with injury costs an average of US $14,000.ObjectiveThe aim was to conduct a technology evaluation, including feasibility, usability, and user experience, of a medical sensor-based Intranet of things (IoT) system in facilitating nursing response to bed exits in an acute care hospital.MethodsPatients 18 years and older with a Morse fall score of 45 or greater were recruited from a 35-bed medical-surgical ward in a 317-bed Massachusetts teaching hospital. Eligible patients were recruited between August 4, 2015 and July 31, 2016. Participants received a sensor pad placed between the top of their mattress and bed sheet. The sensor pad was positioned to monitor movement from patients’ shoulders to their thighs. The SensableCare System was evaluated for monitoring patient movement and delivering timely alerts to nursing staff via mobile devices when there appeared to be a bed-exit attempt. Sensor pad data were collected automatically from the system. The primary outcomes included number of falls, time to turn off bed-exit alerts, and the number of attempted bed-exit events. Data on patient falls were collected by clinical research assistants and confirmed with the unit nurse manager. Explanatory variables included room locations (zones 1-3), day of the week, nursing shift, and Morse Fall Scale (ie, positive fall history, positive secondary diagnosis, positive ambulatory aid, weak impaired gait/transfer, positive IV/saline lock, mentally forgets limitations). We also assessed user experience via nurse focus groups. Qualitative data regarding staff interactions with the system were collected during two focus groups with 25 total nurses, each lasting approximately 1.5 hours.ResultsA total of 91 patients used the system for 234.0 patient-days and experienced no bed falls during the study period. On average, patients were assisted/returned to bed 46 seconds after the alert system was triggered. Response times were longer during the overnight nursing shift versus day shift (P=.005), but were independent of the patient’s location on the unit. Focus groups revealed that nurses found the system integrated well into the clinical nursing workflow and the alerts were helpful in patient monitoring.ConclusionsA medical IoT system can be integrated into the existing nursing workflow and may reduce patient bed fall risk in acute care hospitals, a high priority but an elusive patient safety challenge. By using an alerting system that sends notifications directly to nurses’ mobile devices, nurses can equally respond to unassisted bed-exit attempts wherever patients are located on the ward. Further study, including a fully powered randomized controlled trial, is needed to assess effectiveness across hospital settings.

ObjectivesThis study provides secondhand smoke (SHS) exposure data in utero and after birth when children were at 18 months, 36 months and 66 months old, and it identifies risk factors for the early childhood SHS among 18-month-old infants living in smoker and non-smoker households.Study designThe data come from the Taiwan Birth Cohort Study, a longitudinal survey of a birth cohort born in 2005. This study used the survey wave when children were 18 months old (n=18 845) for statistical analysis of early childhood SHS exposure. Logistic regression was used to identify the risk factors of the SHS exposure.ResultsApproximately 62% of the 18-month-old infants lived in a household with at least one smoker, with the father being the smoker in 84% of those households. Among these infants living in a smoker household, 70% were exposed to SHS and 36% were exposed to heavy SHS in utero, and the prevalence was approximately 66% and 17% after birth for SHS and heavy SHS, respectively. The number and the existence of smokers in the household, parents’ smoking status, father’s educational attainment and being a first-born baby are strong predictors of early childhood heavy SHS exposure.ConclusionsEncouraging families to have a smoke-free home environment, empowering women to ensure their perspectives and rights are embedded into tobacco control efforts and educating families about the health risks from childhood SHS exposure, especially among people living in households with smokers, will protect non-smoking adults and children from SHS exposure.

Objective: This study aimed to investigate whether cesarean delivery (CD) is associated with the occurrence of neurodevelopmental disorders (NDDs) at the age of 8 years. Methods: A total of 19 142 children were included from the Taiwan Birth Cohort Study (TBCS) database. Associations between modes of delivery or modalities of CD and NDDs were evaluated before and after controlling for gestational age (GA) and clinical condition at birth, children's characteristics, maternal socioeconomic status and maternal clinical condition at childbirth. Results:The odds ratio (OR) of occurrence of NDDs in children born via CD was 1.15 and the 95% confidence interval (CI) was 1.00-1.32. Emergency CD had a higher occurrence of NDDs (OR: 1.38; 95% CI: 1.16-1.65) compared with vaginal delivery. These associations were attenuated after controlling for children's and maternal characteristics and GA at birth. GA at birth had a significant reverse dose-effect on the occurrence of NDDs in children born via vaginal delivery and CD. Conclusion:Modes of delivery and GA could influence the occurrence of NDDs in childhood. However, association of risk of NDDs and modes of delivery or modalities of CD might be modified by males, lower socioeconomic status and mothers with gestational diabetes mellitus.

There are growing concerns about the effects of poverty on children's health, but few studies have examined how the long-term experience of poverty affects the general health of children. We sought to investigate the relationship between children's poverty experience from birth to school age and their general health status. Data from the Taiwan Birth Cohort Study (TBCS), a nationally representative sample of 17,853 children born in 2005 were used. Mother-rated health of children at age 8 was assessed. We used logistic regression to examine how the duration and timing of child poverty are related to children's general health, controlling for child and maternal characteristics. Of the 17,853 cohort members, 23.6% experienced early poverty (persistent, 5.9%; occasional, 17.7%) before age 5, and 11.4% experienced concurrent poverty at the age of 8. Children born into poverty and remaining poor were more likely to have poor health than those who were never poor. Early poverty (persistent poverty: odds ratio (OR) = 1.50; 95% confidence interval (CI) 1.27-1.78; occasional poverty: OR = 1.25; 95% CI 1.12-1.39) was more detrimental to children's general health than concurrent poverty (OR = 1.23; 95% CI 1.09-1.40). A long-lasting gradient effect of early poverty on the general health of children was detected, suggesting an urgent need to prevent children from growing up in persistent poverty.