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1.
Healthc Q ; 25(4): 49-55, 2023 Jan.
Article in English | MEDLINE | ID: mdl-36826241

ABSTRACT

To address severe adult in-patient capacity pressures during the COVID-19 pandemic, 15 community hospitals were mandated to close their in-patient paediatric units (167 beds) and transfer paediatric in-patients to a single paediatric tertiary hospital. The tertiary hospital increased bed capacity through a surge plan activation, while community hospitals redeployed resources to fill the gaps in adult care. Also, 530 patients were transferred solely to increase adult bed capacity during the closure. Several factors enabled the system to function collaboratively. Closures increased the potential adult in-patient capacity by 6,740 bed days and demonstrated an unprecedented system-wide approach to the provision of integrated paediatric care across the region.


Subject(s)
COVID-19 , Adult , Humans , Child , Pandemics , Hospital Bed Capacity , Delivery of Health Care , Hospitals , Intensive Care Units , Surge Capacity
2.
JAMA Netw Open ; 5(2): e2147447, 2022 02 01.
Article in English | MEDLINE | ID: mdl-35138399

ABSTRACT

Importance: Identifying conditions that could be prioritized for research based on health care system burden is important for developing a research agenda for the care of hospitalized children. However, existing prioritization studies are decades old or do not include data from both pediatric and general hospitals. Objective: To assess the prevalence, cost, and variation in cost of pediatric hospitalizations at all general and pediatric hospitals in Ontario, Canada, with the aim of identifying conditions that could be prioritized for future research. Design, Setting, and Participants: This population-based cross-sectional study used health administrative data from 165 general and pediatric hospitals in Ontario, Canada. Children younger than 18 years with an inpatient hospital encounter between April 1, 2014, and March 31, 2019, were included. Main Outcomes and Measures: Condition-specific prevalence, cost of pediatric hospitalizations, and condition-specific variation in cost per inpatient encounter across hospitals. Variation in cost was evaluated using (1) intraclass correlation coefficient (ICC) and (2) number of outlier hospitals. Costs were adjusted for inflation to 2018 US dollars. Results: Overall, 627 314 inpatient hospital encounters (44.8% among children younger than 30 days and 53.0% among boys) at 165 hospitals (157 general and 8 pediatric) costing $3.3 billion were identified. A total of 408 003 hospitalizations (65.0%) and $1.4 billion (43.8%) in total costs occurred at general hospitals. Among the 50 most prevalent and 50 most costly conditions (of 68 total conditions), the top 10 highest-cost conditions accounted for 55.5% of all costs and 48.6% of all encounters. The conditions with highest prevalence and cost included low birth weight (86.2 per 1000 encounters; $676.3 million), preterm newborn (38.0 per 1000 encounters; $137.4 million), major depressive disorder (20.7 per 1000 encounters; $78.3 million), pneumonia (27.3 per 1000 encounters; $71.6 million), other perinatal conditions (68.0 per 1000 encounters; $65.8 million), bronchiolitis (25.4 per 1000 encounters; $54.6 million), and neonatal hyperbilirubinemia (47.9 per 1000 encounters; $46.7 million). The highest variation in cost per encounter among the most costly medical conditions was observed for 2 mental health conditions (other mental health disorders [ICC, 0.28] and anxiety disorders [ICC, 0.19]) and 3 newborn conditions (intrauterine hypoxia and birth asphyxia [ICC, 0.27], other perinatal conditions [ICC, 0.17], and surfactant deficiency disorder [ICC, 0.17]). Conclusions and Relevance: This population-based cross-sectional study of hospitalized children identified several newborn and mental health conditions as having the highest prevalence, cost, and variation in cost across hospitals. Findings of this study can be used to develop a research agenda for the care of hospitalized children that includes general hospitals and to ultimately build a more substantial evidence base and improve patient outcomes.


Subject(s)
Child, Hospitalized , Hospitalization/economics , Adolescent , Child , Child, Preschool , Costs and Cost Analysis , Cross-Sectional Studies , Female , Hospitals, General , Hospitals, Pediatric , Humans , Infant , Infant, Newborn , Male , Ontario , Prevalence
3.
Hosp Pediatr ; 10(4): 347-352, 2020 04.
Article in English | MEDLINE | ID: mdl-32220935

ABSTRACT

OBJECTIVES: To explore characteristics of patients who were admitted to the intermediate care (IC) unit at a tertiary academic institution. In particular, we sought to compare the characteristics of IC patients who were transferred with the characteristics of those who were not transferred to PICU care and evaluate predictors of patient transfer. METHODS: Data were collected on all admitted IC patients between July 2016 and June 2018. Patients whose index IC admission was from the PICU were excluded. Data collected included demographics and physiologic characteristics: heart rate, respiratory rate, temperature, oxygen therapy, as well as Bedside Pediatric Early Warning System (BPEWS) score. RESULTS: In this time period, 427 eligible patient visits occurred, with 66 patients (15.46%) being transferred to the PICU. Patients were commonly transferred early in their IC course (1.41 days into admission [0.66-3.87]); transferred patients had higher median admission BPEWS scores (7 [4.25-9] vs 5 [3-7]; P < .01). In the univariate analysis, no individual physiologic characteristic was predictive for transfer. In the multivariate analysis, BPEWS (P < .001) and need for any form of respiratory support (P = .04) were significant predictive factors for transfer (R 2 = 0.56). CONCLUSIONS: The need for close monitoring of physiologic parameters remains paramount, especially in the first 48 hours of admission, in predicting the need for transfer from the IC to PICU. The need for any form of respiratory support is predictive of transfer. Situational awareness and assessment including BPEWS score is of critical importance.


Subject(s)
Intensive Care Units, Pediatric , Patient Transfer , Child , Critical Care , Hospitalization , Humans , Patient Transfer/statistics & numerical data , Retrospective Studies
4.
BMJ ; 363: k4764, 2018 12 05.
Article in English | MEDLINE | ID: mdl-30518517

ABSTRACT

OBJECTIVE: To determine whether medical errors, family experience, and communication processes improved after implementation of an intervention to standardize the structure of healthcare provider-family communication on family centered rounds. DESIGN: Prospective, multicenter before and after intervention study. SETTING: Pediatric inpatient units in seven North American hospitals, 17 December 2014 to 3 January 2017. PARTICIPANTS: All patients admitted to study units (3106 admissions, 13171 patient days); 2148 parents or caregivers, 435 nurses, 203 medical students, and 586 residents. INTERVENTION: Families, nurses, and physicians coproduced an intervention to standardize healthcare provider-family communication on ward rounds ("family centered rounds"), which included structured, high reliability communication on bedside rounds emphasizing health literacy, family engagement, and bidirectional communication; structured, written real-time summaries of rounds; a formal training programme for healthcare providers; and strategies to support teamwork, implementation, and process improvement. MAIN OUTCOME MEASURES: Medical errors (primary outcome), including harmful errors (preventable adverse events) and non-harmful errors, modeled using Poisson regression and generalized estimating equations clustered by site; family experience; and communication processes (eg, family engagement on rounds). Errors were measured via an established systematic surveillance methodology including family safety reporting. RESULTS: The overall rate of medical errors (per 1000 patient days) was unchanged (41.2 (95% confidence interval 31.2 to 54.5) pre-intervention v 35.8 (26.9 to 47.7) post-intervention, P=0.21), but harmful errors (preventable adverse events) decreased by 37.9% (20.7 (15.3 to 28.1) v 12.9 (8.9 to 18.6), P=0.01) post-intervention. Non-preventable adverse events also decreased (12.6 (8.9 to 17.9) v 5.2 (3.1 to 8.8), P=0.003). Top box (eg, "excellent") ratings for six of 25 components of family reported experience improved; none worsened. Family centered rounds occurred more frequently (72.2% (53.5% to 85.4%) v 82.8% (64.9% to 92.6%), P=0.02). Family engagement 55.6% (32.9% to 76.2%) v 66.7% (43.0% to 84.1%), P=0.04) and nurse engagement (20.4% (7.0% to 46.6%) v 35.5% (17.0% to 59.6%), P=0.03) on rounds improved. Families expressing concerns at the start of rounds (18.2% (5.6% to 45.3%) v 37.7% (17.6% to 63.3%), P=0.03) and reading back plans (4.7% (0.7% to 25.2%) v 26.5% (12.7% to 7.3%), P=0.02) increased. Trainee teaching and the duration of rounds did not change significantly. CONCLUSIONS: Although overall errors were unchanged, harmful medical errors decreased and family experience and communication processes improved after implementation of a structured communication intervention for family centered rounds coproduced by families, nurses, and physicians. Family centered care processes may improve safety and quality of care without negatively impacting teaching or duration of rounds. TRIAL REGISTRATION: ClinicalTrials.gov NCT02320175.


Subject(s)
Medical Errors/statistics & numerical data , Patient Safety/statistics & numerical data , Patient-Centered Care/methods , Professional-Family Relations , Adult , Child , Child, Preschool , Communication , Family , Female , Humans , Inpatients , Male , North America , Patient Care Team/statistics & numerical data , Patient Participation , Program Evaluation/methods , Prospective Studies
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