ArticlePloS one2011
Asthma length of stay in hospitals in London 2001-2006: demographic, diagnostic and temporal factors.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effect of Telehealth Interventions on Hospitalization Indicators: A Systematic Review.Perspectives in health information managemen · 2016Pooled it
- A 10-year retrospective analysis of hospital admissions and length of stay among a cohort of homeless adults in Vancouver, Canada.BMC health services research · 2016Trial
- Racial differences in length of stay and readmission for asthma in the all of us research program.Journal of translational medicine · 2024Article
- A comparison of statistical methods for modeling count data with an application to hospital length of stay.BMC medical research methodology · 2022Article
- Hospitalization and mortality for acute exacerbation of asthma: an Italian population-based study.Internal and emergency medicine · 2022Article
- Implication of excessive length of stay of asthma patient with heterogenous status attributed to air pollution.Journal of environmental health science & engineering · 2021Article
- Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning.Frontiers in public health · 2021Article
- Factors associated with length of stay in hospital among the elderly patients using count regression models.Medical journal of the Islamic Republic of Iran · 2021Article
- Associations between acute exposure to ambient air pollution and length of stay for inpatients with ischemic heart disease: a multi-city analysis in central China.Environmental science and pollution research international · 2020Article
- Association between Ambient Air Pollution and Hospital Length of Stay among Children with Asthma in South Texas.International journal of environmental research and public health · 2020Article
- Effects of childhood exposure to PMEnvironmental monitoring and assessment · 2019Article
- Ohio Pediatric Asthma Repository: Opportunities to Revise Care Practices to Decrease Time to Physiologic Readiness for Discharge.Hospital pediatrics · 2018Article
- Comparison of Statistical Models of Predict the Factors Affecting the Length of Stay (LOS) in the Intensive Care Unit (ICU) of a Teaching Hospital.Materia socio-medica · 2017Article
- Clinical outcomes of children with acute asthma and pneumonia in Mulago hospital, Uganda: a prospective study.BMC pediatrics · 2014Article
- An overview of health forecasting.Environmental health and preventive medicine · 2013Review
- Humans as animal sentinels for forecasting asthma events: helping health services become more responsive.PloS one · 2012Article
- Semistructured black-box prediction: proposed approach for asthma admissions in London.International journal of general medicine · 2012Article
- Evolving forecasting classifications and applications in health forecasting.International journal of general medicine · 2012Article
- The impact of asthma in Brazil: a longitudinal analysis of data from a Brazilian national database system.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e TisilogiaArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asthma is a condition of significant public health concern associated with morbidity, mortality and healthcare utilisation. This study identifies key determinants of length of stay (LOS) associated with asthma-related hospital admissions in London, and further explores their effects on individuals. Subjects were primarily diagnosed and admitted for asthma in London between 1(st) January 2001 and 31(st) December 2006. All repeated admissions were treated uniquely as independent cases. Negative binomial regression was used to model the effect(s) of demographic, temporal and diagnostic factors on the LOS, taking into account the cluster effect of each patient's hospital attendance in London. The median and mean asthma LOS over the period of study were 2 and 3 days respectively. Admissions increased over the years from 8,308 (2001) to 10,554 (2006), but LOS consistently declined within the same period. Younger individuals were more likely to be admitted than the elderly, but the latter significantly had higher LOS (p<0.001). Respiratory related secondary diagnoses, age, and gender of the patient as well as day of the week and year of admission were important predictors of LOS. Asthma LOS can be predicted by socio-demographic factors, temporal and clinical factors using count models on hospital admission data. The procedure can be a useful tool for planning and resource allocation in health service provision.
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