Factors associated with future hospitalization among children with asthma: a systematic review

Aggarwal, Simran; Cepalo, Tanita; Gill, Sana; Thipse, Madhura; Clifton, KerryLee; Higginson, Andrea; Vu, James; Bijelić, Vid; Barrowman, Nick; Giangioppo, Sandra; Radhakrishnan, Dhenuka

doi:10.1080/02770903.2022.2070762

Cited by 6 publications

(7 citation statements)

References 93 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, having a home smoker and a pet in the house was associated with a higher hospitalization rate. Similar findings were reported by Aggarwal et al, who found that exposure to environmental tobacco smoke, pet dander, previous asthma hospitalizations, poor asthma control, higher severity symptoms at ER presentations, and a warmer season at admission were significant factors associated with future hospitalization among children with asthma [ 25 ]. Simms-Williams et al found that being a girl is an important risk factor for asthma-related hospital admissions, which was also reported by other two studies [ 18 , 26 , 27 ].…”

Section: Discussionsupporting

confidence: 84%

Predictive Factors of Hospitalization and Emergency Visits Among Children With Asthma

Al Ghadeer,

Aldandan,

Alessa

et al. 2024

Cureus

View full text Add to dashboard Cite

Introduction A chronic diverse inflammatory disease, asthma affects millions of people worldwide. To control asthma, standardized care is essential. Children with asthma who receive appropriate care have lower emergency room (ER) visits and hospital stays as well as a higher quality of life than children who do not receive appropriate care. We aim to evaluate the predictive variables of hospitalization and ER visits in children with asthma. Methodology In 2022 and 2023, a cross-sectional descriptive study was carried out on children with asthma and their caregivers who were attending primary health care clinics in the eastern region of Saudi Arabia. We used the Childhood Asthma Control Test (C-ACT) to evaluate asthma control. A C-ACT score of less than 19 indicates uncontrolled childhood asthma. To investigate the relationships between the risk factors and the rate of ER visits and hospitalizations, we performed a multiple logistic descriptive analysis. Results In this study, 124 asthmatic children from primary health care centers matched the inclusion criteria. The majority of children had atopy, and their mean age was 10.8±3.4 years. Concerning the risk factors linked to ER visits and hospitalization, there is evidence that not following up with physicians, using more frequent and short-acting beta-agonists, exposure to smoke and household pets, and poor asthma control are linked to increased rates of both ER visits and hospitalizations. Conclusion Better asthma control in children and adolescents may be achieved by providing inexpensive asthma care services, more thorough parental and child education, and effective symptom management. These measures can help reduce exacerbations of asthma and the consequences that accompany them.

show abstract

Section: Discussionsupporting

confidence: 84%

Predictive Factors of Hospitalization and Emergency Visits Among Children With Asthma

Al Ghadeer,

Aldandan,

Alessa

et al. 2024

Cureus

View full text Add to dashboard Cite

show abstract

“…This is particularly alarming given the abundance of evidence demonstrating improved clinical outcomes and reduced HCRU when asthma patients receive appropriate follow-up care following asthma-related ED admissions 20–24. Lastly, given that 10% of all asthma-related ED admissions resulted in hospitalisations within 90 days of discharge from the ED, and the known association between ED admissions and future hospitalisations,6 25 26 this would be an additional factor to consider to improve patient management.…”

Section: Discussionmentioning

confidence: 99%

Asthma-related emergency admissions and associated healthcare resource use in Alberta, Canada

Mayers,

Randhawa,

Qian

et al. 2023

BMJ Open Resp Res

View full text Add to dashboard Cite

BackgroundThere is a lack of real-world research assessing asthma management following asthma-related emergency department (ED) discharges. The objective of this study was to characterise follow-up care, healthcare resource use (HCRU) and medical costs following ED admissions in Alberta, Canada.MethodsA retrospective cohort study was conducted on adults with asthma using longitudinal population-based administrative data from Alberta Health Services. Adult patients with asthma and ≥1 ED admission from 1 April 2015 to 31 March 2020 were included. ED admissions, outpatient visits, hospitalisations and asthma-specific medication use were measured in the 30 days before and up to 90 days after each asthma-related ED admission. Mean medical costs attributable to each type of HCRU were summarised. All outcomes were stratified by patient baseline disease severity.ResultsAmong 128 063 patients incurring a total of 20 142 asthma-related ED visits, a substantial rate of ED readmission was observed, with 10% resulting in readmissions within 7 days and 35% within 90 days. Rates increased with baseline asthma severity. Despite recommendations for patients to be followed up with an outpatient visit within 2−7 days of ED discharge, only 6% were followed up within 7 days. The mean total medical cost per patient was $C8143 in the 30 days prior to and $C5407 in the 30 days after an ED admission.ConclusionsDespite recommendations regarding follow-up care for patients after asthma-related ED admissions, there are still low rates of outpatient follow-up visits and high ED readmission rates. New or improved multidimensional approaches must be integrated into follow-up care to optimise asthma control and prevent readmissions.

show abstract

“…A data extraction table was created to record the specific data extracted from the selected studies. The design of the table structure was informed by previous research [ 20 , 21 ]. We extracted the year, country, title, aim, data source/s, sample size, research techniques, findings, evaluation metrics, model performance, and the limitations and strengths of each study.…”

Section: Methodsmentioning

confidence: 99%

Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review

Darsha Jayamini,

Mirza,

Asif Naeem

et al. 2024

J Med Syst

View full text Add to dashboard Cite

Asthma, a common chronic respiratory disease among children and adults, affects more than 200 million people worldwide and causes about 450,000 deaths each year. Machine learning is increasingly applied in healthcare to assist health practitioners in decision-making. In asthma management, machine learning excels in performing well-defined tasks, such as diagnosis, prediction, medication, and management. However, there remain uncertainties about how machine learning can be applied to predict asthma exacerbation. This study aimed to systematically review recent applications of machine learning techniques in predicting the risk of asthma attacks to assist asthma control and management. A total of 860 studies were initially identified from five databases. After the screening and full-text review, 20 studies were selected for inclusion in this review. The review considered recent studies published from January 2010 to February 2023. The 20 studies used machine learning techniques to support future asthma risk prediction by using various data sources such as clinical, medical, biological, and socio-demographic data sources, as well as environmental and meteorological data. While some studies considered prediction as a category, other studies predicted the probability of exacerbation. Only a group of studies applied prediction windows. The paper proposes a conceptual model to summarise how machine learning and available data sources can be leveraged to produce effective models for the early detection of asthma attacks. The review also generated a list of data sources that other researchers may use in similar work. Furthermore, we present opportunities for further research and the limitations of the preceding studies.

show abstract

Factors associated with future hospitalization among children with asthma: a systematic review

Cited by 6 publications

References 93 publications

Predictive Factors of Hospitalization and Emergency Visits Among Children With Asthma

Predictive Factors of Hospitalization and Emergency Visits Among Children With Asthma

Asthma-related emergency admissions and associated healthcare resource use in Alberta, Canada

Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review

Contact Info

Product

Resources

About