A Study of Correlations among Personal Factors, Selected Clinical Determinants, and Risk Behaviours in Patients with Accidental Injuries

Authors

  • Piyaporn Yaowares Faculty of Nursing, Mahidol University
  • Prangtip Chayaput
  • Amonrut Poonkate
  • Chaninthorn Kliangda

Keywords:

severity of injuries, risky behaviours, accidental injury, alcohol drinking, smoking

Abstract

Objective: To investigate the correlations between personal characteristics (i.e., age and gender), selected clinical determinants (i.e., causes of injuries, mechanisms of injuries,number of injured body parts, injured body parts, severity of injuries, and complications), and risk behaviours, and to compare the differences in severity of injury and complications between patients with risk behaviours and those without risk behaviours
Design: Retrospective descriptive correlational and comparative research design
Methodology: The participants were 122 accidental injury patients admitted to a super-tertiary care hospital in Bangkok. The number of recruited participants were determined in proportion to the number of each year’s injured patients. Then the method of quota sampling for eligible patients based on the calculated sample size was employed. Data were gathered retrospectively from the patients’ chart and medical records. Research tools consisted of personal information and clinical data record form, and a questionnaire for severity of injuries and complications. Chi-square Test and Fisher’s Exact Test for correlations were employed for data analysis, whilst Mann-Whitney U test was conducted for comparisons of severity of injuries and complications.
Results: Age, gender, cause of injury, number of injured body parts, injured body parts, and severity of injury were related to risk behaviours. Additionally, risk behaviours, including smoking and alcohol drinking, had signifcant correlations with severity of injury, but were not related with complications. Signifcant differences in injury severity levels were found between those with risk behaviours and those without, whereas no differences in complications were identifed.
Recommendations: Personal characteristics and some selected clinical determinants showed signifcant relationships with risk behaviours. Injury severity levels differed amongst smokers and alcohol drinkers. Thus, nurses can utilise the empirical evidence to complement the healthcare policy and promote education and awareness of accident risk caused by risk behaviours including smoking and alcohol consumption, so as to reduce severity of injury from accidents and promote recovery after injury.

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References

Cherpitel CJ, Witbrodt J, Ye Y, Korcha R. A multi-level analysis of emergency department data on drinking patterns, alcohol policy and cause of injury in 28 countries. Drug Alcohol Depend. 2018;192:172-8.

Gale SC, Peters J, Murry JS, Crystal JS, Dombrovskiy VY. Injury patterns and outcomes in late middle age (55-65): the intersecting comorbidity with high-risk activity - a retrospective cohort study. Ann Med Surg. 2018;27:22-5.

Korlakunta A, Reddy CMP. High-risk behavior in patients with alcohol dependence. Indian J Psychiatry. 2019;61(2):125–30.

Cordovilla-Guardia S, Vilar-López R, Lardelli-Claret P, Guerrero-López F, Fernández-Mondéjar E. Alcohol or drug use and trauma recidivism. Nurs Res. 2017; 66(5):399-404.

Yang XX, Huang ZQ, Li ZH, Ren DF, Tang JG. Risk factors and the surgery affection of respiratory complication and its mortality after acute traumatic cervical spinal cord injury. Medicine. 2017;96(36): e7887. doi:10.1097/MD.0000000000007887.

Ahmed N, Greenberg P. Patient mortality following alcohol use and trauma: a propensity-matched analysis. Eur J Trauma Emerg Surg. 2019;45(1): 151-8.

Lee JH, Lee DH. Comparison of injury pattern and clinical outcomes between young adults and elderly patients with alcohol-related injury in South Korea 2011-2016. Peer J. 2019;7:e7704. doi:10.7717/peerj.7704.

Sornpaisarn B, Sornpaisarn S, Shield KD, Rehm J. Alcohol use and injury risk in Thailand: a case-crossover emergency department study. Drug Alcohol Rev.2020;39(5):539-45.

Brockamp T, Böhmer A, Lefering R, Bouillon B, Wafaisade A, Mutschler M, et al. Alcohol and trauma: the influence of blood alcohol levels on the severity of injuries and outcome of trauma patients - a retrospective analysis of 6268 patients of the Trauma Register DGU®. Scand J Trauma Resusc Emerg Med. 2021;29(1):101. doi:10.1186/s13049-021-00916-z.

Razik MA, Alslimah FA, Alghamdi KS, Altamimi MA, Alzhrani AA, Alqahtani NM, et al. The severity of fall injuries in Saudi Arabia: a cross-sectional study. Pan Afr Med J. 2020;36:152. doi:10.11604/ pamj.2020.36.152.23944.

Fite RO, Mesele M, Wake M, Assefa M, Tilahun A. Severity of injury and associated factors among injured patients who visited the emergency department at Wolaita Sodo teaching and referral hospital, Ethiopia. Ethiop J Health Sci. 2020;30(2):189-98.

Lopes MCBT, de Aguiar WJ, Whitaker IY. In-hospital complications in trauma patients according to injury severity. J Trauma Nurs. 2019;26(1):10-6.

Page PS, Burkett DJ, Brooks NP. Association of helmet use with traumatic brain and cervical spine injuries following bicycle crashes. Br J Neurosurg. 2020;34(3):276-9.

Abe T, Komori A, Shiraishi A, Sugiyama T, Iriyama H,Kainoh T, et al. Trauma complications and in-hospital mortality: failure-to-rescue. Crit Care. 2020; 24(1): 223. doi:10.1186/s13054-020-02951-1.

Gongola A, Bradshaw JC, Jin J, Jensen HK, Bhavaraju A, Margolick J, et al. Retrospective study on rib fractures: smoking and alcohol matter for mortality and complications. Trauma Surg Acute Care Open. 2021;6(1):e000732. doi:10.1136/tsaco-2021-000732.

Roy C. The Roy adaptation model. (3rd ed). Upper Saddles River (NJ): Pearson, 2009.

Roy C, Bakan G, Li Z, Nguyen TH. Coping measurement: creating short form of Coping and Adaptation Processing Scale using item response theory and patients dealing with chronic and acute health conditions. Appl Nurs Res. 2016;32:73-9.

Pundee J, Chayaput P, Chanruangvanich W, Wannatoop T. Predictors of functional restoration in extremity injury patients. Journal of Thailand Nursing and Midwifery Council . 2019;34(4):48-63. (in Thai)

Suyasith P, Chayaput P, Thosingha O, Sirikun J. Comparison of clinical factors in adult, young older,and older trauma patients. Journal of Thailand Nursing and Midwifery Councill. 2020;36(1):110-28.(in Thai)

Siritep U, Thosingha O, Chayaput P, Sirikun J. Predictors of multiple organ dysfunction syndrome in patients with major trauma. Siriraj Med J. 2017;65(5):137-40.

Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149-60.

Berben L, Sereika SM, Engberg S. Effect size estimation: methods and examples. Int J Nurs Stud. 2012;49(8):1039-47.

Polit DF, Beck CT. Nursing research: generating and assessing evidence for nursing practice. (9th ed).Philadelphia: Wolters Kluwer Health, 2017.

Baker SP, Haddon W, Jr., Long WB. The Injury Severity Score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma. 1974;14(3):187-96.

Javali RH, Krishnamoorthy, Patil A, Srinivasarangan M, Suraj S, Sriharsha S. Comparison of Injury Severity Score, New Injury Severity Score, Revised Trauma Score and Trauma and Injury Severity Score for mortality prediction in elderly trauma patients. Indian J Crit Care Med. 2019;23(2):73-7.

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Published

2022-05-12

How to Cite

1.
Yaowares P, Chayaput P, Poonkate A, Kliangda C. A Study of Correlations among Personal Factors, Selected Clinical Determinants, and Risk Behaviours in Patients with Accidental Injuries. J Thai Nurse midwife Counc [Internet]. 2022 May 12 [cited 2024 Nov. 21];37(02). Available from: https://he02.tci-thaijo.org/index.php/TJONC/article/view/256604

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Research Articles