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- Crilly, Julia, et al.
(författare)
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Factors predictive of hospital admission for children via emergency departments in Australia and Sweden: an observational cross-sectional study
- 2024
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Ingår i: BMC Health Services Research. - : Springer Nature. - 1472-6963. ; 24:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Identifying factors predictive of hospital admission can be useful to prospectively inform bed management and patient flow strategies and decrease emergency department (ED) crowding. It is largely unknown if admission rate or factors predictive of admission vary based on the population to which the ED served (i.e., children only, or both adults and children). This study aimed to describe the profile and identify factors predictive of hospital admission for children who presented to four EDs in Australia and one ED in Sweden.Methods: A multi-site observational cross-sectional study using routinely collected data pertaining to ED presentations made by children < 18 years of age between July 1, 2011 and October 31, 2012. Univariate and multivariate analysis were undertaken to determine factors predictive of hospital admission.Results: Of the 151,647 ED presentations made during the study period, 22% resulted in hospital admission. Admission rate varied by site; the children's EDs in Australia had higher admission rates (South Australia: 26%, Queensland: 23%) than the mixed (adult and children's) EDs (South Australia: 13%, Queensland: 17%, Sweden: 18%). Factors most predictive of hospital admission for children, after controlling for triage category, included hospital type (children's only) adjusted odds ratio (aOR):2.3 (95%CI: 2.2-2.4), arrival by ambulance aOR:2.8 (95%CI: 2.7-2.9), referral from primary health aOR:1.5 (95%CI: 1.4-1.6) and presentation with a respiratory or gastrointestinal condition (aOR:2.6, 95%CI: 2.5-2.8 and aOR:1.5, 95%CI: 1.4-1.6, respectively). Predictors were similar when each site was considered separately.Conclusions: Although the characteristics of children varied by site, factors predictive of hospital admission were mostly similar. The awareness of these factors predicting the need for hospital admission can support the development of clinical pathways.
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| 2. |
- Källberg, Ann-Sofie, 1960-, et al.
(författare)
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Prevalence of frailty and associated factors in older adults seeking care at Swedish emergency departments
- 2023
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Ingår i: BMC Geriatrics. - : BioMed Central (BMC). - 1471-2318. ; 23:1
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Internationally, prolonged length of stay for older adults in the emergency department (ED) is associated with increased risk of in-hospital adverse events. In Sweden patients 65 years and older account for 35% of emergency visits, and according to consensus from an international expert group, all persons over 70 should be screened for frailty. This is not routinely done in Swedish EDs, and therefore, knowledge about prevalence, characteristics and clinical outcomes associated with frailty is limited.AIM: To describe the prevalence of frailty and associated factors in older adults seeking care at Swedish EDs.METHODS: The study has a cross-sectional design. Data was collected at three hospital-based EDs, varying in level and size of setting, for one month. Patients age 70 and older presenting at the EDs and agreed to participate were screened for frailty using the FRail Elderly Support researcH group (FRESH) instrument. Data were analysed using descriptive statistics to assess the distribution of patient characteristics and clinical outcomes. Multivariate logistic regression was used to model the association between frailty and demographic characteristics, and Cox regression was used to model the association between frailty and clinical outcomes.RESULTS: A total of 3101 patients were eligible for inclusion; of these, 984 (32%) were included and screened for frailty. Of the final sample, 57.3% were assessed as frail. Characteristics significantly associated with frailty were living in a residential care facility, age (> 80 years), being a woman and arriving with emergency medical service (EMS). There was a significant association between frailty and admittance to in-hospital care.CONCLUSION: Our study shows a high prevalence of frailty in older people. Factors associated with frailty were living in a residential care facility, age ≥ 80 years, being a woman and arriving with EMS to the ED and being admitted to in-hospital care. Frailty screening should be incorporated in the triage system to identify frail patients who need tailored interventions. More studies using the FRESH instrument are needed to further confirm our findings and to develop the methods for screening for frailty in the ED.
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