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. 2021 Mar;24(2):115-119.
doi: 10.1016/j.cjtee.2021.01.001. Epub 2021 Jan 14.

Fall-related hospitalization of patients in Iran

Khalil Kimiafar  1 , Maryam Farrokhi  2 , Fereshte Manouchehri Monazah  1 , Majid Khadem-Rezaiyan  3 , Masoumeh Sarbaz  4
Affiliations

Fall-related hospitalization of patients in Iran

Khalil Kimiafar et al. Chin J Traumatol. 2021 Mar.

Abstract

Purpose: Trauma has been called the neglected disease of modern society. According to WHO, fall is the second major cause of trauma or deaths resulting from unintentional accidents. The aim of this study was to investigate the different types of fall according to International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) in hospitalized patients visiting specialized accident and trauma hospitals of Mashhad, Iran.

Methods: This was a cross sectional retrospective study performed between March 20, 2013 and March 20, 2014. The research population consisted of all medical records of patients for fall injuries in three specialized accident and trauma hospitals. ICD-10 was adopted to categorize all types of falls (w00-w19). The results obtained were analyzed by SPSS 16.

Results: Altogether 7,448 cases were included. The codes w18 (fall on same level) and w09 (fall involving playground equipment) with the frequencies of 1,856 and 1,303, respectively in both genders had the maximum number of falls. The maximum percentage of mortality has been related to "fall on and from ladder"," fall from cliff "and "fall on same level involving ice and snow".

Conclusion: As falls can cause irrecoverable injuries including mortality of people, thus health authorities and policymakers should take preventive measures given the causes of falls and the root of this type of injuries, so that the costs resulting from this cause and its injuries can be reduced.

Keywords: Fall; Inpatient; Trauma.

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Conflict of interest statement

Declaration of competing interest The authors state that there are no competing interest.

Figures

Fig. 1
Fig. 1
Frequency of number of falls according to hours of hospitalization across different hours of day.
Fig. 2
Fig. 2
Frequency of number of falls based on hours of hospitalization across different hours of day by each gender.
See this image and copyright information in PMC

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