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Factors Influencing Healthcare Provider-Patient Communication of Patients with Chronic Diseases

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KMID : 0614820200260020073
±è¹Ì¿µ ( Kim Mi-Young ) - ÀÌÈ­¿©ÀÚ´ëÇб³ °£È£´ëÇÐ

ÀÌÁöÇØ ( Lee Ji-Hae ) - ÀÌÈ­¿©ÀÚ´ëÇб³ ÀϹݴëÇпø
µÎÀº¿µ ( Doo Eun-Young ) - ¸íÁöº´¿ø °£È£ºÎ ±³À°ÇàÁ¤°ú

Abstract

¿¬±¸¸ñÀû: º» ¿¬±¸ÀÇ ¸ñÀûÀº ¸¸¼ºÁúȯÀÚÀÇ e-Çコ ¸®ÅÍ·¯½Ã¿Í e-Çコ ¸®ÅÍ·¯½Ã°¡ ÀÇ·áÀÎ-ȯÀÚ Ä¿¹Â´ÏÄÉÀ̼ǿ¡ ¹ÌÄ¡´Â ¿µÇâÀ» ÆľÇÇϱâ À§ÇÔÀÌ´Ù.

¿¬±¸¹æ¹ý: ÀÚ·á¼öÁý±â°£Àº 2018³â 12¿ù 1ÀϺÎÅÍ 12¿ù 31ÀϱîÁö¿´À¸¸ç, ¼­¿ï½Ã ¼ÒÀç 3°³ Á¾ÇÕº´¿ø¿¡¼­ ´ç´¢º´°ú °íÇ÷¾ÐÀ¸·Î ³»°ú¿Ü·¡¸¦ ÀÌ¿ëÇÏ´Â ¼ºÀÎÀ» ´ë»óÀ¸·Î ¼³¹®Á¶»ç¸¦ ½ÃÇàÇÏ¿´´Ù. ¼öÁýµÈ ÀÚ·á´Â IBM SPSS/WIN 22.0¸¦ ÀÌ¿ëÇÏ¿© ±â¼úÅë°è t-test, ANOVA, Scheffe-test, Pearson correlation coefficients, multiple linear regressionÀ» ÅëÇØ ºÐ¼®ÇÏ¿´´Ù.

¿¬±¸°á°ú: ´ë»óÀÚÀÇ e-Çコ ¸®ÅÍ·¯½Ã¿Í ÀÇ·áÀÎ-ȯÀÚ Ä¿¹Â´ÏÄÉÀ̼ÇÀº À¯ÀǹÌÇÑ ¾çÀÇ »ó°ü°ü°è(r=.867, p<.001)¸¦ ³ªÅ¸³Â´Ù. ´ÙÁßȸ±Í¸ðÇü¿¡¼­ ´ë»óÀÚÀÇ ÀÇ·áÀÎ-ȯÀÚ Ä¿¹Â´ÏÄÉÀ̼ǿ¡ ¿µÇâÀ» ¹ÌÄ¡´Â º¯¼ö´Â e-Çコ ¸®ÅÍ·¯½Ã(©¬=.867, p=<.001), ÁÖ°üÀûÀÎ °Ç°­»óÅÂ(©¬=-.376, p<.001), °Ç°­¿¡ ´ëÇÑ °ü½ÉÁ¤µµ(©¬=.259, p=.001), ÇзÂ(©¬=-.139, p=.048)À̾úÀ¸¸ç, ÀÇ·áÀÎ-ȯÀÚ Ä¿¹Â´ÏÄÉÀ̼ÇÀÇ Àüü ¼³¸í·ÂÀÌ 70.8%·Î È®ÀεǾú´Ù.

°á·Ð: º» ¿¬±¸´Â ÀÇ·áÀÎÀÌ ¸¸¼ºÁúȯÀÚ¿¡°Ô ½Å·ÚÇÒ ¼ö ÀÖ´Â °Ç°­ Á¤º¸¸¦ Á¦°øÇÏ°í, ȯÀÚ¿Í ÀÇ»ç¼ÒÅë ½Ã È¯ÀÚÀÇ °Ç°­ÁöÇâÀûÀΠŵµ¸¦ µ¶·ÁÇØ¾ß ÇÔÀ» ½Ã»çÇÑ´Ù.

Purpose: The purpose of this study was to investigate the influence of e-health literacy in patients with chronic diseases on their healthcare provider-patient communication.

Method: The participants were 184 patients with chronic illnesses admitted to a general hospital. Using a structured-questionnaire, data were collected from December 1 to 31, 2018. Data were analyzed using descriptive statistics, t-test, ANOVA, Scheffe test, Pearson correlation coefficients, and multiple linear regression with IBM SPSS/WIN 22.0.

Results: Healthcare provider-patient communication was positively correlated with e-health literacy (r=.87, p<.001). Factors influencing healthcare provider-patient communication were e-health literacy (©¬=.87, p<.001), subjective health statues (©¬=.17, p=.011), health concerns (©¬=-.15, p<.001), number of questions during the hospital treatment (©¬=.14, p=.003), and education (©¬=-.14, p=.048). The input variables explained 70.8% of healthcare provider-patient communication.

Conclusion: The results of this study suggest that healthcare providers should provide reliable online health information to patients and encourage health-oriented attitudes in order to communicate about health information that patients obtained from online.
KeyWords
¸¸¼ºÁúȯ, °Ç°­ ´ëÈ­, °Ç°­ ¸®ÅÍ·¯½Ã
Chronic disease, Health communication, Health literacy
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