پيش بيني سلامت عمومي بر اساس متغيرهاي فردي، خودكارآمدي و اضطراب در شاغلين (دانشجو و غيردانشجو) كادر درماني بيماران COVID-19

Predicting general health using individual variables, self-efficacy and anxiety in COVID-19 health care workers (student and nonstudent

ﭘﮋوﻫﺶ ﺣﺎﺿﺮ ﺑﺎ ﻫﺪف ﭘﯿﺶﺑﯿﻨﯽ ﺳﻼﻣﺖ ﻋﻤﻮﻣﯽ ﺑﺮ اﺳﺎس ﻣﺘﻐﯿﺮﻫﺎي ﻓ ﺮدي، ﺧﻮدﮐﺎرآﻣﺪي و اﺿﻄﺮاب در ﮐﺎدر درﻣﺎن )داﻧﺸﺠﻮﯾﺎن ﺷﺎﻏﻞ ﺑﻪ ﻋﻨﻮان ﮐﺎدر درﻣﺎﻧﯽ ﺑﯿﻤﺎران ﮐﻮوﯾﺪ 19 و ﻏﯿﺮ داﻧﺸﺠﻮﯾﺎن( در ﺷﻬﺮﮐﺮﻣﺎﻧﺸﺎه اﻧﺠﺎم ﺷﺪ. ﺟﺎﻣﻌﻪ آﻣﺎري ﭘﮋوﻫﺶ ﮐﻠﯿﻪ ﮐﺎدر درﻣﺎﻧﯽ ﺑﯿﻤﺎران ﮐﻮوﯾﺪ 19درﺷﻬﺮﮐﺮﻣﺎﻧﺸﺎه ﺑﻮد و ﻧﻤﻮﻧﻪ ﺷﺎﻣﻞ ﮐﺎدر درﻣﺎﻧﯽ ﺳﻪ ﺑﯿﻤﺎرﺳﺘﺎن درﮔﯿﺮ ﺑﻪ ﺑﯿﻤﺎري ﮐﻮوﯾﺪ 19 ﺑﻮد؛ روش ﻧﻤﻮﻧﻪ ﮔﯿﺮي روش در دﺳﺘﺮس ﺑﻮد؛ ﺗﻌﺪاد 170ﻧﻔﺮ ﺑﻪ ﻋﻨﻮان ﻧﻤﻮﻧﻪ اﻧﺘﺨﺎب ﺷﺪﻧﺪ. اﺑﺰارﻫﺎي ﭘﮋوﻫﺶ ﺷﺎﻣﻞ ﭘﺮﺳﺸﻨﺎﻣﻪ ﺳﻼﻣﺖ ﻋﻤﻮﻣﯽ ، ﭘﺮﺳﺸﻨﺎﻣﻪ ﺧﻮدﮐﺎرآﻣﺪي ﻋﻤﻮﻣﯽ و ﭘﺮﺳﺸﻨﺎﻣﻪ اﺿﻄﺮاب ﺑﻮد. ﻧﺘﺎﯾﺞ ﺑﺮرﺳﯽ ﭘﺎﯾﺎﯾﯽ ﺣﺎﮐﯽ از آن ﺑﻮد ﮐﻪ اﺑﺰار ﭘﮋوﻫﺶ از ﭘﺎﯾﺎﯾﯽ ﻣﻨﺎﺳﺒﯽ ﺑﺮﺧﻮردار ﻫﺴﺘﻨﺪ. ﯾﺎﻓﺘﻪ ﻫﺎ ﺣﺎﮐﯽ از آن ﺑﻮد ﮐﻪ ﻣﺘﻐﯿﺮ ﺗﺤﺼﯿﻼت ﺑﺎ ﻣﺘﻐﯿﺮ اﺿﻄﺮاب داراي ﺿﺮﯾﺐ ﻫﻤﺒﺴﺘﮕﯽ 0/27- اﺳﺖ ﮐﻪ در ﺳﻄﺢ ﻣﻌﻨﯽ داري 0/01> P ﻣﻌﻨﯽ دار اﺳﺖ اﻣﺎ ﻣﯿﺎن ﻣﺘﻐﯿﺮﻫﺎي ﭘﮋوﻫﺶ در ﮔﺮوه-ﻫﺎي زﻧﺎن و ﻣﺮدان ﺗﻔﺎوت ﻣﻌﻨﯽ داري ﯾﺎﻓﺖ ﻧﺸﺪ. ﻧﺘﺎﯾﺞ ﺑﺮرﺳﯽ ﺑﺮازش ﻣﺪل ﺣﺎﮐﯽ ار آن ﺑﻮد ﮐﻪ ﻣﺪل ﻃﺮاﺣﯽ ﺷﺪه از ﺑﺮازش ﻣﻄﻠﻮﺑﯽ ﺑﺎ دادهﻫﺎ ﺑﺮﺧﻮردار اﺳﺖ و ﺗﺤﺼﯿﻼت، ﺧﻮدﮐﺎرآﻣﺪي و اﺿﻄﺮاب ﺗﻮاﻧﺴﺘﻪاﻧﺪ ﮐﻪ ﺑﺎ ﻣﯿﺎﻧﺠﯽ ﮔﺮي اﺿﻄﺮاب در ﺣﺪود 40درﺻﺪ از ﺗﻐﯿﯿﺮات ﺳﻼﻣﺖ ﻋﻤﻮﻣﯽ را ﭘﯿﺶ ﺑﯿﻨﯽ ﮐﻨﻨﺪ. در ﻧﺘﯿﺠﻪ از ﯾﺎﻓﺘﻪﻫﺎي ﻓﻮق ﻣﯽ ﺗﻮان در راﺳﺘﺎي ﮐﻤﮏ ﻫﺎي روانﺷﻨﺎﺧﺘﯽ و ارﺗﻘﺎي ﺳﻼﻣﺖ ﻋﻤﻮﻣﯽ ﮐﺎدر درﻣﺎن اﺳﺘﻔﺎده ﻧﻤﻮ

The goal of this research was to predicting general health using individual variables, self-efficacy and anxiety in covid-19 healthcare workers in Kermanshah city. The population included all covid-19 healthcare workers in Kermanshah city and the sample included 3 hospitals covid-19 healthcare workers, sampling method was according Convenience Sampling method and the sample size was 170. The instruments included: general health questionnaire GHQ-12, general self-efficacy scale (GSES), and anxiety subscale of depression, anxiety and stress scale (DASS). Reliability analysis confirmed internal consistency and the results showed that education has significance negative correlation with anxiety (r=-0.27), but there is ni difference between sex groups in psychological variables used in the research. The fitted indices confirmed the fitting between data and model designed and the model explain about 40% of variances of the general health in covid-19 healthcare workers. Using this results we can improve the efforts to increase the general health and decrease the anxiety in covid-19 healthcare workers.