Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Multiple Causes for Delay in Arrival at Hospital in Acute Stroke Patients in Aydin, Turkey

BMC Neurology20088:15

DOI: 10.1186/1471-2377-8-15

Received: 28 August 2007

Accepted: 13 May 2008

Published: 13 May 2008

Abstract

This descriptive, hospital-based study, performed in western Turkey, was designed to assess the level of pre-hospital delay and reasons for such delay in acute stroke patients, taking into consideration certain factors such as socioeconomic status, availability of transport options at onset of symptoms. Data were collected from hospital records, and a questionnaire was administered that included questions about socio-demographics, self-reported risk factors and questions related to hospital arrival. The rate of patients arriving at the hospital more than 3 hours after symptom onset was found to be 31.6% for this study. Approximately 1/3 of patients delayed going to the hospital because they were waiting for symptoms to go away while 1/3 of patients were not aware of the importance of seeking immediate medical help. There was a significant relationship between the use of ambulance transportation and length of time before arrival at the hospitals, though there was no statistically significantly relationship between the existence of stroke risk factors and hospital arrival delay. These results will likely be helpful to health care decision makers as they develop a model for stroke health care and community based training.

Background

Stroke is one of the leading causes of mortality of adults in Turkey as it is in many countries [1]. The importance of early intervention (such as recombinant tissue plasminogen activator (rt-PA) within 3 hours of onset of stroke) in acute stroke situations is well known to prevent permanent disability and mortality otherwise caused by stroke [25]. However, several studies report that certain factors such as socioeconomic status (low socioeconomic status increase or no difference on effect on delay in acute ischemic stroke), availability of transport options (the use of helicopters decreases transport times and helps rapid access to the treatment facilities), living alone or being alone at onset of symptoms (increase effect on delay in acute ischemic stroke) play a role in late arrival at hospitals thereby decreasing the ultimate success of medical interventions for stroke patients [68]. There is little research about awareness and knowledge level concerning stroke and also about the structure and availability of stroke-related health services (stroke unit and related support systems) in Turkey. There is no national stroke-monitoring service or database. This study is designed to assess the level of pre-hospital delay and reasons for such delay in acute stroke patients. Results from this study will likely be helpful to Turkish health care decision makers as they work toward the development of a model for stroke health care and community based training about stroke awareness and the importance of early intervention.

Methods

This is a descriptive hospital-based study conducted between January and November 2005, in Aydin (population, 217,558), a city in Western Turkey. There are two main governmental hospitals in the city center of Aydin. These hospitals accept all patients from Aydin and neighboring cities. A distance from urban and rural areas to the hospitals varies from 10 km to 115 km. Aydin is an affluent city and is located on a grassy plain where there are no traffic jams. The study was performed at two hospitals which are centrally located and see a significant number of stroke patients. In 2005, a total of 302 stroke patients (57 at the University hospital, 245 at the State hospital) were admitted in these two hospitals. Ninety-eight (32%) of these patients participated to this study. The remaining 68% were not eligible to participate. This study was approved by The Hospital Directorate which is legally responsible for hospital management. The researchers followed the ethical principles of the Declaration of Helsinki.

Verbal informed consent was obtained from all subjects. In Aydin, there are not any spesific stroke units in the hospitals. For this reason, patients in the study were identified from daily records of admitted patients in these hospitals. Data were collected from the emergency departments, neurology services and neurology intensive care units by the researchers. A questionnaire was administered to patients, their relatives and doctors utilizing face-to-face interviews and data were also collected from medical records. Two specialist nurses who were certificated by the Turkish Society of Cerebrovascular Diseases on stroke collected data by taking notes during the interviews and by reviewing the medical records of patients. Inter-reliability of the researchers was established during four hours of training on the study and questionnaire and pre-testing of the questionnaire. Three exclusion criteria were determined as "unconsciousness, aphasic (total, Wernike, Broca) and refusal of patient and/or family". However, as a limitation of the study, percentage of patients excluded according to above mentioned criteria were not recorded by the researchers.

The questionnaire was developed in accordance with relevant literature. Questions which are commonly used in hospitalized stroke patients interviews were chosen for use in the questionnaire to maintain validity. It was pre-tested on ten patients who were not included in the study, and was modified based on the pilot results [914]. The questionnaire contained 21 questions in four sections. The first section included seven close-ended questions about socio-demographics including age, sex, marital status, education, occupation, social insurance (which includes health care coverage) and place of residence. The second section included seven "yes/no" questions evaluating self-reported risk factors (high blood pressure, heart disease, previous stroke, diabetes, high cholesterol, smoking, alcohol). When patients reported that they had at least one stroke risk factor in response to a question delineating these, one point was given. If none were present, the score was recorded as "zero". The third section of the questionnaire included five questions related to hospital arrival. Two were open-ended questions: i) "Please determine the time of onset of stroke"; ii) "What was the time interval from stroke onset to hospital arrival?" Three questions (close-ended) were asked about arrival time (day of the week and time of the day) and type of transportation used. The last section included two open-ended questions: i) "Why did you choose to go to the hospital?"; ii) "What were the main reasons for any delay in your arrival at the hospital?". SPSS 11.0 for Windows® software was used for statistical analysis of the data. The descriptive data were presented as median, mean ± standard deviation (SD) and percentages. Patients were categorized into two groups depending on length of time of symptom onset to arrival at the hospital (≤ 3 hours and > 3 hours). The time of symptom onset was defined as the moment when symptoms started or the moment the patients or relatives first noticed warning signs. If the stroke began when the patient was asleep, the time when they awakened was considered the time of symptom onset. Length of time of symptom onset to arrival at the hospital was classified into two groups as ≤ 3 hours and > 3 hours according to the results of previous studies [4, 9, 10, 13, 15, 16]. Hospital arrival delay was determined based on patients' or relatives' interview or extracted from the medical chart.

These two groups (≤ 3 hours and > 3 hours) were then compared regarding their responses to the four sections of questions. Chi-square test, Fisher's exact test and t-test were used for analytical evaluation. The differences were considered to be statistically significant when p < 0.05. The open ended comments were summarized as percentages.

Results

This study was carried out with 98 patients. Fifty three patients were female and the mean age of patients was 67.7 ± 11.0 (40–92). Detailed socio-demografic features of the patients are shown in Table 1. When patient were read a list of stroke risk factors 91 patients answered affirmatively that they had at least one stroke risk factor. Reported risk factors were as follows: high blood pressure (69.4%), heart disease (43.8%), diabetes (38.8%), smoking (30.6%), previous stroke (27.6%), high cholesterol (21.4%), alcohol (5.1%) and obesity (4.1%). It was determined that 67 patients (68.4%) arrived at the hospitals within three hours and 31 patients (31.6%) arrived at the hospitals after 3 hours from the onset of stoke symptoms.
Table 1

Socio-demographics Features of Patients, Aydin, 2005

 

n

%

Age (year), mean ± SD

(n = 98) 67.74 ± 11.03

Sex

  

   Female

53

54.1

   Male

45

45.9

Residence

  

   Urban

24

24.5

   Rural

74

75.5

Education

  

   Illiterate

58

59.2

   Literate

40

40.8

Marrital status

  

   Married

64

65.3

   Single+widow

34

34.7

Occupation

  

   Self-employed

33

33.7

   Paid work

12

12.2

   Unemployed

53

54.1

Social Security (Public Health Insurance)

  

   Yes

88

89.8

   No

10

10.2

Eighty one of the patients (82.6%) reported to the hospitals on a weekday and 73 (74.4%) arrived during daytime hours. Sixteen of the patients (16.3%) arrived at the hospital by ambulance. The most common stroke warning signs experienced by 79.6% of patients were sudden trouble walking, dizziness, loss of balance or coordination. The second most common sign, reported by 75.5% of patients, was sudden weakness or numbness of the face, arm or leg, especially on one side of the body. Other warning signs were sudden confusion, trouble speaking or understanding (74.5%), sudden vision changes (10.2%) and sudden severe headache with no known cause (10.2%). These stroke warning signs were classified according to information provided from "American Stroke Association" documents. The most common reason patients stated for delay was waiting for symptoms to go away (35.5%). Other reasons for delay and associated percentages are given in Table 2. There was a significant relationship between length of time prior to arrival at the hospitals (within three hours) and type of transportation used or available.
Table 2

Reasons Reported by Patients for pre-hospital delay, Aydin, 2005

Reasons

n

%*

Waiting for symptoms to go away

11

35.5

Not realizing the urgency of seeking medical help

10

32.3

Stroke while sleeping

6

19.4

Not able to call for help

4

13.3

Taking medicine and waiting for it to take effec

2

6.5

Calling doctor to come to the home

1

3.2

*%s are taken from stated reasons because patients were allowed to cite more than one reason for pre-hospital delay.

Patients who arrived within 3 hours of onset of symptoms were more likely to come by ambulance (22.4%) or private vehicle (77.6%) (χ2 = 5.697, p < 0.05). Age, gender, education, marital status, occupation, social insurance (which includes health care coverage), place of residence, self-reported risk factors of stroke, day of the week or time of day had no effect on length of time before arrival at the hospitals (p > 0.05) (Table 3). There was no statistically significant relationship between experiencing stroke warning signs and length of time before arrival at the hospitals (p > 0.05).
Table 3

Factors Influencing Early Admission of Patient to the Hospital (≤ 3 hours and > 3 hours), Aydin, 2005

Factors

≤ 3 hours

> 3 hours

  
 

n

%

n

%

χ2

P

Age (year), mean ± SD

(n = 67)

66.50 ± 11.56

(n = 31)

70.38 ± 9.40

-1.633*

0.106

Gender

      

   Female

38

71.7

15

28.3

0.592

0.442

   Male

29

64.4

16

35.6

  

Residence

      

   Urban

16

66.7

8

33.3

0.043

0.837

   Rural

51

68.9

23

31.1

  

Education

      

   Illiterate

38

65.5

20

34.5

0.534

0.465

   Literate

29

72.5

11

27.5

  

Marrital status

      

   Married

43

67.2

21

32.8

0.119

0.730

   Single+widow

24

70.6

10

29.4

  

Occupation

      

   Self-employed

21

63.6

12

36.4

0.629

0.730

   Paid work

8

66.7

4

33.3

  

   Unemployed

38

71.7

15

28.3

  

Social Security (public health insurance)(social insurance)

   Yes

61

69.3

27

30.7

0.361

0.721

   No

6

60.0

4

40.0

  

Self-reported stroke risk factors

      

   Yes

62

68.1

29

31.9

0.033

1.000

   No

5

71.4

2

28.6

  

Type of transport to the hospital

      

   Personal car/public trans.

52

63.4

30

36.6

5.697

0.017

   Ambulance

15

93.8

1

6.3

  

Day of the week

      

   Weekday

55

67.9

26

32.1

0.047

0.829

   Weekend

12

70.6

5

29.4

  

Time of the day

      

   Night

18

72.2

7

28.0

0.205

0.651

   Daytime

49

67.1

24

32.9

  

* %s presented as line percentage ** t value is given

Discussion

Although the rate of patients arriving at the hospital's stroke unit more than 3 hours after symptom onset has previously been reported as high as 50–70% in other series and in many Western countries at least 50% patients arrive within 6 hours, this study reports this rate to be at 31.6% [1417]. This is likely due to the fact that Aydýn is a small, affluent city in Western Turkey with no traffic jams and that the longest distance to the hospital from rural areas is 115 km. In addition to this reasons, it might be related with differences in the definition of symptom onset in the literatures. Most studies of stroke delay define symptom onset as the moment when symptoms started or the moment the patients or relatives first noticed warning signs [9, 11, 1417]. Only one study was achieved to define as the time the subject was last known symptom free [13]. Since perhaps 1/3 of patients have their stroke while they are asleep, the definition used could easily affect the percentage of patients in < 3 hour group. On the other hand, there may have been substantially more patients who would have been classified as delaying, if 2 hours or less had been chosen. Approximately one third of patients delayed going to the hospital because they were waiting for symptoms to go away. Additionally, 1/3 of patients were not aware of the urgency for seeking immediate medical help and therefore delayed seeking such help in the first three hours, which is imperative for rt-PA administration. In early 2006 rt-PA administration was initiated for stroke treatment in the Turkish medical system. Lack of awareness of the urgency of stroke symptoms was shown to be associated with failure and/or difference in the perception of the importance or severity of symptoms in other studies [16, 18]. Waiting for symptoms to go away has previously been defined as "natural coping response to indecision" [6]. A statement from the American Heart Association Council on Cardiovascular Nursing and the Stroke Council states that there was no ongoing study concerning the above mentioned topic [6]. Other studies have found that the belief that symptoms were not of a serious nature, incorrect perception of the severity of the symptoms and decision to wait for symptoms to go away affected the length of time before patients went to the hospital [13, 19]. In this study, a significant relationship was found between the use of ambulance transportation and length of time before arrival at the hospitals. However, only 16 of 98 patients (16.3%) arrived by ambulance. This is a low percentage of use of the emergency system for transport in Aydin even though there is a well organized emergency service network called 112 (access to Emergency Services, similar to the US 911 system). Some published studies in other countries indicate that the percentage of patients who arrive at the hospital by ambulance is 35–46% among stroke patients [11, 15]. In the questionnaire in this study, there was no question asked about reasons for this low percentage. It would be useful to design detailed studies to explain the low percentage of usage of 112 in Aydin in the future.

It is difficult to explain the high rate of self-reported stroke risk factors in this study in comparison with other studies in the literature. Objective data from the medical records (prior medical treatment, calculation of BMI, etc.) would have been a more reliable data source but the records were incomplete. In this Aydin study as in other published studies, high blood pressure is the most prevalent risk factor for stroke, with heart disorders being second [19, 20]. There was no statistically significantly relationship between stroke risk factors and length of time before arrival at the hospital. These results are notable since just seven patients reported no risk factors. It is expected that patients, who are knowledgeable about stroke risk factors and who report at least one risk factor would seek expert stroke care in a relatively short period of time. However, Derex et al. suggested that there is no relationship between awareness of risk factor and length of time before arrival at the hospital [15]. In addition the patients in this study may not have been aware that their medical condition (hypertension, for example) was a risk factor for stroke. In thisstudy, most of the participants (67%) reached the hospital within 3 hours of symptom onset, however one third of the patients arrived three hours after symptom onset, indicating there is room for improvement. The rate of ambulance usage is very low among this patient population. We believe that it is important to increase awareness of stroke symptoms and to further educate the public about the appropriate use of 112 (access to Emergency Services, similar to the U.S. 911 system). Awareness of stroke symptoms and risk factors must be in the forefront of health promotion programs such as the Massachusetts Department of Public Health's "ACT FAST" campaign and some initiatives of the World Health Organization (WHO) such as promoting physical activity and reversing the obesity epidemic [21, 22].

Conclusion

This is the first descriptive hospital-based study on strokes performed in Turkey. Though this is a local study and the sample size is small, the collected data can be helpful in the creation of a stroke database for Turkey and can be utilized in the international literature as a country sample. There are methodological difficulties that need to be discussed and clarified. One of the main issues is the small sample size (32%; 98 of 302 patients). These 98 stroke patients may not be representative of the whole population and should be considered when comparing these results with other studies. For a study of this kind, better information and record systems need to be established, kept under control and evaluated frequently.

In this study 68.4% of patients arrived at the hospitals within three hours of symptoms onset. We had to identify patients from daily records of admitted patients in these hospitals and collect data from departments by ourselves. We preferred to use interview questions used for general examinations in the hospital and also parallel to the references to catch common language during interviews with health staff and patients in the hospital, during working time and sensitive period of a serious health problems.

In this study, approximately one third of patients were waiting for symptoms to go away and also one third of patients were not aware of the urgency for seeking immediate medical help and therefore they lost the first three hours, which is imperative for rt-PA administration. To reduce this rate, health promotion programs need to focus on awareness of stroke symptoms and risk factors for not only medical experts but also for the public

Declarations

Authors’ Affiliations

(1)
Asist. Prof. Dr., Department of Medical Nursing, Adnan Menderes University, School of Health Aydin
(2)
Department of Fundamentals of Nursing, Adnan Menderes University, School of Health Aydin
(3)
Asist. Prof. Dr., Department of Public Health, Adnan Menderes University, School of Medicine Aydin

References

  1. Saglik Bakanligi, RSHMB, Hifzissihha Mektebi Mudurlugu. Ulusal Hastalik Yuku ve Maliyet Etkililik Calismasi, Ulusal Hastalik Yuku Calismasi Sonuclari Sunumu 2003, Ankara. [http://www.hm.saglik.gov.tr]
  2. Greenlund KJ, Neff LJ, Zheng ZJ, Keean NL, Giles WH, Ayala CA, Croft JB, Mensah GA: Low public recognition of major stroke symptoms. AmJ Prev Med. 2003, 25: 315-319. 10.1016/S0749-3797(03)00206-X.View ArticleGoogle Scholar
  3. DeLemos CD, Atkinson RP, Croopnick SL, Wentworth DA, Akins PT: How effective are community stroke screening programs at improving stroke knowledge and prevention practices?. Stroke. 2003, 34: e247-e249. 10.1161/01.STR.0000098901.97350.7D.View ArticlePubMedGoogle Scholar
  4. Frey JL: Recombinant tissue plasminogen activator (rtPA) for stroke the perspective at 8 years. The Neurologist. 2005, 11: 123-133. 10.1097/01.nrl.0000156205.66116.84.View ArticlePubMedGoogle Scholar
  5. Weintraub MI: Thrombolysis (tissue plasminogen activator) in stroke a medicollegal quagmire. Stroke. 2006, 37: 1917-1922. 10.1161/01.STR.0000226651.04862.da.View ArticlePubMedGoogle Scholar
  6. Moser DK, Kimble LP, Alberts MJ, Alonzo A, Croft JB, Dracup K, Evenson KR, Go AS, Hand MM, Kothari RU, Mensah GA, Morris DL, Pancioli AM, Riegel B, Zerwic JJ: Reducing delay in seeking treatment by patients with acute coronary syndrome and stroke: A scientific statement from the American Heart Association Council on cardiovascular nursing and stroke council. Circulation. 2006, 114: 168-182. 10.1161/CIRCULATIONAHA.106.176040.View ArticlePubMedGoogle Scholar
  7. Kleindorfer DO, Lindsell CJ, Broderick JP, Flaherty ML, Woo D, Ewing I, Schmit P, Moomaw C, Alwell K, Pancioli A, Jauch E, Khoury J, Miller R, Schnider A, Kissela BM: Community socioeconomic status and prehospital times in acute stroke and transient ischemic attack. Do poorer patients have longer delays from 911 call to the emergency department?. Stroke. 2006, 37: 1508-1513. 10.1161/01.STR.0000222933.94460.dd.View ArticlePubMedGoogle Scholar
  8. Rajajee V, Saver J: Prehospital care of the acute stroke patient. Tech Vasc Interv Radiol. 2005, 8: 74-80. 10.1053/j.tvir.2005.03.004.View ArticlePubMedGoogle Scholar
  9. Feldmann E, Gordon N, Brooks JM, Brass LM, Fayad PB, Sawaya KL, Nazareno F, Levine SR: Factors associated with early presentation of acute stroke. Stroke. 1993, 24: 1805-1810.View ArticlePubMedGoogle Scholar
  10. Smith MA, Doliszny KM, Shahar E, McGovern PG, Arnett DK, Luepker RV: Delayed hospital arrival for acute stroke: The Minnesota stroke survey. Ann Intern Med. 1998, 129: 190-196.View ArticlePubMedGoogle Scholar
  11. Clark JM, Renier SA: A community stroke study: factors influencing stroke awareness and hospital arrival time. Journal of Stroke and Cerebrovascular Disease. 2001, 10 (6): 274-278. 10.1053/jscd.2001.123774.View ArticleGoogle Scholar
  12. Nedeltchev K, Arnold M, Brekenfeld C, Isenegger J, Remonda L, Schroth G, Mattle HP: Pre-and in- hospital delays from stroke onset to intra-arterial thrombolysis. Stroke. 2003, 34: 1230-1234. 10.1161/01.STR.0000069164.91268.99.View ArticlePubMedGoogle Scholar
  13. Chang KC, Tseng MC, Tan TY: Prehospital delay after acute stroke in Kaohsiung Taiwan. Stroke. 2004, 35: 700-704. 10.1161/01.STR.0000117236.90827.17.View ArticlePubMedGoogle Scholar
  14. Maze LM, Bakas T: Factors Associated with hospital arrival time for stroke patients. J Neurosci Nurs. 2004, 36 (3): 136-155.View ArticlePubMedGoogle Scholar
  15. Derex L, Adeleine P, Nighoghossian N, Honnorat J, Trouillas P: Factors influencing early admission in a French stroke unit. Stroke. 2002, 33: 153-159. 10.1161/hs0102.100533.View ArticlePubMedGoogle Scholar
  16. Broadley SA, Thompson PD: Time to hospital admission for acute stroke: an observational study. MJA. 2003, 178: 329-331.PubMedGoogle Scholar
  17. Agyeman O, Nedeltchev K, Arnold M, Fischer U, Remonda L, Isenegger J, Schroth G, Mattle HP: Time to admission in acute ischemic stroke and transient ischemic attack. Stroke. 2006, 37: 963-966. 10.1161/01.STR.0000206546.76860.6b.View ArticlePubMedGoogle Scholar
  18. Yoon SS, Heller RF, Levi C, Wiggers J, Fitzgerald PE: Knowledge of stroke factors, warning symptoms, and treatment among an Australian urban population. Stroke. 2001, 32: 1926-1930.View ArticleGoogle Scholar
  19. Mandelzweig L, Goldbourt U, Boyko V, Tane D: Perceptual, social, and behavioral factors associated with delays in seeking madical care in patients with symptoms of acute stroke. Stroke. 2006, 37: 000-000. 10.1161/01.STR.0000217200.61167.39.View ArticleGoogle Scholar
  20. Pandian JD, Jaison A, Deepak SS, Kalra G, Shamsher S, Lincoln DJ, Abraham G: Public awareness of warning symptoms, risk factors, and treatment of stroke in northwest India. Stroke. 2005, 36: 644-648. 10.1161/01.STR.0000154876.08468.a0.View ArticlePubMedGoogle Scholar
  21. ACT FAST, Heart Disease and Stroke Prevention. [http://www.maclearinghouse.com/CatalogHDSP.htm]
  22. Health Promotion, Health Topics, World Health Organization Regional Office for Europe. [http://www.euro.who.int/healthtopics/HT2ndLvlPage?HTCode=health_promotion]
  23. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2377/8/15/prepub

Copyright

© Memis et al; licensee BioMed Central Ltd. 2008

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Advertisement