World Journal of Emergency Medicine ›› 2015, Vol. 6 ›› Issue (4): 283-288.doi: 10.5847/wjem.j.1920-8642.2015.04.006
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Wai Lam Yip1(
), Kit Ling Fan2, Chun Tat Lui3, Ling Pong Leung2, Fu Ng4, Kwok Leung Tsui3
Received:2015-04-16
Accepted:2015-09-09
Online:2015-12-15
Published:2015-12-15
Wai Lam Yip, Kit Ling Fan, Chun Tat Lui, Ling Pong Leung, Fu Ng, Kwok Leung Tsui. Utilization of the Accident & Emergency Departments by Chinese elderly in Hong Kong[J]. World Journal of Emergency Medicine, 2015, 6(4): 283-288.
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URL: http://wjem.com.cn/EN/10.5847/wjem.j.1920-8642.2015.04.006
Table 1
Basal demographics and outcomes of the geriatric patients (n=1 200)
| Parameters | Patients (%) |
|---|---|
| Age (median, IQR) | 79 (12) |
| Gender, male | 596 (49.7) |
| ADL | |
| Independent | 767 (64.4) |
| Partially dependent | 211 (17.6) |
| Dependent | 213 (17.8) |
| Unknown | 9 (0.8) |
| Residence | |
| Institution | 264 (22) |
| Home | 936 (78) |
| ED arrival | |
| By self | 654 (54.5) |
| By ambulance | 540 (45) |
| Others | 6 (0.5) |
| Cognitive impairment | 257 (21.4) |
| Triage category | |
| Category 1 Critical | 23 (1.9) |
| Category 2 Emergency | 34 (2.8) |
| Category 3 Urgent | 509 (42.4) |
| Category 4 Semi-urgent | 586 (48.8) |
| Category 5 Non-urgent | 44 (3.7) |
| Unknown | 4 (0.3) |
| Life-saving intervention | 238 (19.8) |
| Airway and breathing | 181 (15.1) |
| Circulatory support | 54 (4.5) |
| Procedures | 21 (1.8) |
| Drugs | 56 (4.7) |
| Disposal | |
| Home | 497 (41.4) |
| Admission | 680 (56.7) |
| Death in ED | 7 (0.6) |
| DAMA | 10 (0.8) |
| Disappeared | 4 (0.3) |
| Mortality | 21 (1.8) |
| Re-attendance in 48 hours | 65 (5.4) |
Table 2
Logistic regression predicting life-saving interventions
| Predictors | Adjusted odds ratio (95% confidence interval) | Pvalue |
|---|---|---|
| Age | 1.02 (0.99-1.05) | 0.08 |
| Dependent ADL* | 2.28 (1.58-3.28) | <0.001 |
| Institutionalized | 0.79 (0.49-1.27) | 0.336 |
| Carried in by ambulance* | 2.17 (1.58-2.99) | <0.001 |
| Cognitive impairment | 0.86 (0.51-1.46) | 0.581 |
| Number of comorbidities* | 1.16 (1.07-1.24) | <0.001 |
| Diseases of infectious diseases, circulatory orrespiratory system in AED diagnosis* | 4.92 (3.58-6.75) | <0.001 |
Table 3
Most frequent diagnoses of geriatric AED patients
| Rank | ICD-10 Code | Description | Frequency | % |
|---|---|---|---|---|
| 1 | 10 | Diseases of the respiratory system | 226 | 18.8 |
| 2 | 11 | Diseases of the digestive system | 177 | 14.8 |
| 3 | 19 | Injury, poisoning and certain other consequences of external causes | 140 | 11.7 |
| 4 | 13 | Diseases of the musculoskeletal system and connective tissue | 125 | 10.4 |
| 5 | 9 | Diseases of the circulatory system | 122 | 10.2 |
| 6 | 6 | Diseases of the nervous system | 103 | 8.6 |
| 7 | 14 | Diseases of the genitourinary system | 79 | 6.6 |
| 8 | 18 | Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified | 64 | 5.3 |
| 9 | 1 | Certain infectious and parasitic diseases | 55 | 4.6 |
| 10 | 12 | Diseases of the skin and subcutaneous tissue | 31 | 2.6 |
Table 4
Commonest diagnoses requiring hospitalization (n=682)
| Rank | ICD-10 Code | Description | Frequency | % |
|---|---|---|---|---|
| 1 | 10 | Diseases of the respiratory system | 163 | 23.9 |
| 2 | 11 | Diseases of the digestive system | 122 | 17.9 |
| 3 | 9 | Diseases of the circulatory system | 108 | 15.8 |
| 4 | 6 | Diseases of the nervous system | 59 | 8.7 |
| 5 | 14 | Diseases of the genitourinary system | 52 | 7.6 |
Table 5
Logistic regression predicting hospital admission
| Predictors | Adjusted odds ratio (95% confidence interval) | Pvalue |
|---|---|---|
| Age* | 1.05 (1.03-1.06) | <0.001 |
| Dependent ADL* | 2.46 (1.50-4.04) | <0.001 |
| Institutionalized* | 2.07 (1.33-3.23) | 0.001 |
| Carried in by ambulance* | 1.35 (1.04-1.76) | 0.023 |
| Cognitive impairment | 1.23 (0.77-1.96) | 0.38 |
| Number of comorbidities* | 1.18 (1.11-1.26) | <0.001 |
| Diseases of infectious diseases, circulatory or respiratory system in AED diagnosis* | 2.68 (2.03-3.56) | <0.001 |
| 1 | Population ageing 2013. New York: United Nations Department of Economic and Social Development. Population division 2013. (http://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2013.pdf) |
| 2 | Census and Statistics Department. Hong Kong Government. Hong Kong Population Projections 2012-2041. Published July 2012. |
| 3 | Hospital Authority. Annual plan 2012-2013. Hong Kong: Hospital Authority 2012. |
| 4 | Hospital Authority. Strategic service framework for elderly patients. Hong Kong: The strategy and planning division, Hospital Authority Head Office 2012. |
| 5 | Coni N. The unlikely Geriatricians. J R Soc Med 1996; 89:587-589. |
| 6 | Williams BA. Consideration of function and functional decline. Current Diagnosis and Treatment: Geriatrics, Second Edition. McGraw Hill Professional 2014. |
| 7 | Gilboy N, Tanabe P, Travers DA, Rosenau AM, Eitel DR. Emergency severity index, version 4: implementation handbook. Rockville, MD: Agency for Healthcare Research and Quality 2005; 1-72. |
| 8 | Lau GK. Elderly patients in the Accident & Emergency department. Journal of the Hong Kong Medical Association 1987; 39:168-172. |
| 9 |
Yim VW, Graham CA, Rainer TH. A comparison of emergency department utilization by elderly and younger adult patients presenting to three hospitals in Hong Kong. International Journal of Emergency Medicine 2009; 2:19-24.
pmid: 19390913 |
| 10 |
Misch F, Messmer AS, Nickel CH, Gujan M, Graber A, Blume K, et al. Impact of observation on disposition of elderly patients presenting to emergency departments with non-specific complaints. PLoS One 2014; 9:e98097.
pmid: 24871340 |
| 11 |
Samaras N, Chevalley T, Samaras D, Gold G. Older patients in the emergency department: a review. Ann Emerg Med 2010; 56:261-269.
pmid: 20619500 |
| 12 |
Aminzadeh F, Dalziel WB. Older adults in the emergency department: a systematic review of patterns of use, adverse outcomes, and effectiveness of interventions. Ann Emerg Med 2002; 39:238-247.
doi: 10.1067/mem.2002.121523 pmid: 11867975 |
| 13 |
Biber R, Bail HJ, Sieber C, Weis P, Christ M, Singler K. Correlation between age, emergency department length of stay and hospital admission rate in emergency department patients aged≥ 70 years. Gerontology 2012; 59:17-122.
pmid: 23128892 |
| 14 |
Latham LP, Ackroyd-Stolarz S. Emergency department utilization by older adults: a descriptive study. Can Geriatr J 2014; 17:118-125.
pmid: 25452824 |
| 15 |
Salvi F, Mattioli A, Giannini E, Vita D, Morichi V, Fallani M, et al. Pattern of use and presenting complaints of older patients visiting an Emergency Department in Italy. Aging Clin Exp Res 2013; 25:583-590.
doi: 10.1007/s40520-013-0112-z pmid: 23949970 |
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