Factors Predicting Access to the Acute Stroke Treatment Service System of Ban Lad Hospital in Phetchaburi Province

Authors

  • Wanpen Plungniam BanLad Hospital, Phetchaburi province
  • Aungarun Sorayothin BanLad Hospital, Phetchaburi province
  • Angsinee Kansukcharearn Prachomklao collage of nursing, Phetchaburi province

Keywords:

acute stroke, service system access, awareness of severity, awareness of warning signals

Abstract

This predictive research aims to study the factors influencing access to acute stroke care services at Ban Lad Hospital, Phetchaburi Province. The sample group consisted of 104 acute stroke patients who received treatment at Ban Lad Hospital, Phetchaburi Province, who were selected through purposive random sampling. Data was collected between October and December 2023. The research tools included questionnaires assessing the perception of stroke severity, recognition of stroke warning signs, and access to emergency medical services, referral network systems, and stroke-related information. The instruments’ reliability coefficients were .93, .92, and .93, respectively. Data were analyzed using descriptive statistics and multiple stepwise regression analysis.

The study found that the average level of access to acute stroke care services was at the highest level. The recognition of stroke warning signs was the most predictive factor affecting access and was statistically significant (p< .01) Following this was the perception of stroke severity. These two factors together predicted 47.30% of access to acute stroke care services. This research can serve to highlight the  need for developing guidelines to promote the awareness of stroke warning signs and the perception of stroke severity among at-risk groups, family members of at-risk individuals, and at-risk communities, as well as the general public and healthcare volunteers which will improve timely and effective access to acute stroke care services.

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References

Phanmung N, Yulertlob A, Japo A. Campaign message for World Paralysis Day 2018. Bureau of Noncommunicable Diseases, Department of Disease Control [Internet]. 2018. [cited 2022 Dec 26]. Available from: https://ddc.moph.go.th/uploads/files/78a5b91d92a079c1a35867c6347a9299.pdf (in Thai)

Phadungwanitkul P. Cerebrovascular disease (STROKE) [Internet]. 2024. [cited 2023 Jun 25]. Available from: http://www. med.nu.ac.th/dpMed/fileKnowledge/106_2017-08-19.pdf. (in Thai)

Pesungnoen A, Suwonroop N, Pinyopasakul W. Factors predicting stroke Prevention behaviors in patients at risk in Primary Care Units. The Journal of Boromarajonani of Nursing, Nakhonratchasima. 2018;24(1):40-56. (in Thai)

World Stroke Organization. Report on the incidence of stroke [Internet]. 2022. [cited 2023 Jun 25]. Available from: https://www.world- stroke.org/assets/downloads/WSO_Global_Stroke_Fact_Sheet.pdf

Ministry of Public Health, Department of Disease Control, Division of Non-communicable Diseases. Number and death rate from non-disease Contact and injury Calendar year [Internet]. 2022. [cited 2023 Jun 25]. Available from: https://ddc.moph.go.th/dsp/journal_detail.php?publish=9554. (in Thai)

National Institute for Emergency Medicine. Situations and trends in health and emergency medicine. (Global level and Thailand) [Internet]. 2022. [cited 2023 Jun 25]. Available from: https://www.niems.go.th/1/UploadAttachFile/2022/EBook/414764_20220208161448.pdf. (in Thai)

Banlad Hospital. Annual Report 2023: Statistics of Stroke patients who come to Stroke Fast Tract at Banlad Hospital. 2023. Copied document. (in Thai)

Pinta P. Predictive factors of stroke patients who arrival to hospital in golden periods. Journal of Primary care and family Medicine 2021;4(3):46-58. (in Thai)

National Institute for Emergency Medicine. Cerebrovascular disease (Stroke): Knowledge for people Emergency medical operations. National Institute of Emergency Medicine Ministry of Public Health. Copied document. (in Thai)

O’ Meara RM, Ganas U, Hendrikse C. Access to acute stroke care: a retrospective descriptive analysis of stroke patients' journey to a district hospital. Afr J Emerg Med. 2022;12(4):366-72.

World Health Organization. Stroke Cerebrovascular accident [Internet]. 2024. [cited 2024 Jan 27]. Available from: https://www.emro.who.int/health-topics/stroke-cerebrovascular-accident/index.html

Lokeskrawee T, Muengtaweepongsa S, Patumanond J, Tiamkao S, Thamangraksat T, Phankhian P, et al. Prediction of symptomatic intracranial hemorrhage after intravenous thrombolysis in acute ischemic stroke: the symptomatic intracranial hemorrhage score. J Stroke Cerebrovasc Dis. 2017;26(11):2622-9.

Fladt J, Meier N, Thilemann S, Polymeris A, Traenka C, Seiffge DJ, et al. Reasons for prehospital delay in acute ischemic stroke. J Am Heart Assoc. 2019; 8(20):e013101.

Boontho J. Factors related to pre-hospital delay in acute ischemic stroke patients at Somdejprabuddhalertla hospital. Hua Hin Medical Journal. 2021;1(3):10-22. (in Thai)

Yiadhthaisong K, Wongpiriyayothar A, Kuleelung P. Factors predicting prehospital time of patients with acute ischemic stroke in acute phase. Journal of Nursing and Health Care. 2019;37(1):148-56. (in Thai)

Rakchue P, Poonphool S. Factors influencing pre-hospital delay among acute ischemic stroke patients in Rajavithi hospital. Journal Thai Stroke Society. 2019;18(1):5-13. (in Thai)

Sonti S, Noppakhun T, Duangchan S. Factors influencing early hospital arrival among acute ischemic stroke patients in Hua Hin hospital. Journal of Prachomklao College of Nursing, Phetchaburi Province. 2022;5(3):24-38. (in Thai)

McDermott M, Skolarus LE, Burke JF. A systematic review and meta-analysis of interventions to increase stroke thrombolysis. BMC Neurol. 2019;19(1):86.

Rattanawichai W, Phutthikhamin N. Factors predicting delayed intravenous thrombolysis treatment among acute ischemic stroke patients: a systematic review. Mahasarakham Hospital Journal. 2023;20(2):25-37. (in Thai)

Green LW, Kreuter MW. Health program planning: an educational and ecological approach. USA: McGraw–Hill; 2005.

Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale New Jersey: Lawrence Erlbaum Associate; 1988.

Best JW. Research in education. 3rd edition. USA: Prentice-Hall; 1977.

Puengprasert S. Factors associated with EMS notification in acute stroke patients who have symptoms within 4.5 hours before Chaiyaphum hospital arrival. Chaiyaphum Medical Journal Thai Stroke Society. 2020;40(1):148-61. (in Thai)

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Published

2024-05-21

How to Cite

1.
Plungniam W, Sorayothin A, Kansukcharearn A. Factors Predicting Access to the Acute Stroke Treatment Service System of Ban Lad Hospital in Phetchaburi Province. J Nurs Ther Care [internet]. 2024 May 21 [cited 2026 Jan. 24];42(2):e270142. available from: https://he01.tci-thaijo.org/index.php/jnat-ned/article/view/270142