Prevalence of frailty and associated factors in older adults seeking care at Swedish emergency departments

被引:2
|
作者
Kallberg, Ann-Sofie [1 ,2 ,3 ]
Berg, Lena M. [1 ]
Skogli, Sara [4 ]
Bjurbo, Charlotte [5 ]
Muntlin, Asa [5 ,6 ]
Ehrenberg, Anna [1 ]
机构
[1] Dalarna Univ, Sch Hlth & Welf, SE-79188 Falun, Sweden
[2] Falun Cent Hosp, Dept Emergency Med, Nissers Vag 3, SE-79182 Falun, Sweden
[3] Ctr Clin Res Dalarna, Nissers Vag 3, SE-79182 Falun, Sweden
[4] Falun Cent Hosp, Dept Internal Med, SE-79182 Falun, Sweden
[5] Uppsala Univ Hosp, Dept Emergency Care & Internal Med, Entrance 40,Level 5, SE-75185 Uppsala, Sweden
[6] Uppsala Univ, Uppsala Univ Hosp, Dept Med Sci, Entrance 40, Level 5, SE-75185 Uppsala, Sweden
关键词
Emergency service hospital; Frailty; Older adult; Screening; ADVERSE OUTCOMES; PATIENT; HEALTH; HOSPITALIZATION; IDENTIFICATION; PREDICT; STAY;
D O I
10.1186/s12877-023-04545-2
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
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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页数:9
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