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Experiences of Unmet Healthcare Service Utilization in Rural Populations Using Primary Health Care Posts during the COVID-19: A Mixed Method Study Based on Andersen¡¯s Behavior Model

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KMID : 1032220230180020080
ÇÏ¿µ¹Ì ( Ha Yeong-Mi ) - 

±è¿µ³² ( Kim Young-Nam ) - 
ÃÖÇö°æ ( Choi Hyun-Kyoung ) - 
¾ç½Â°æ ( Yang Seung-Kyoung ) - 
°í¿µ¼÷ ( Ko Young-Suk ) - 
Á¤¹Ì¶ó ( Jeong Mi-Ra ) - 
ÀÌÁö¼± ( Yi Jee-Seon ) - 
ÃÖ¿µ¹Ì ( Choi Young-Mi ) - 
½ÅÀºÁö  ( Shin Eun-Ji  ) - 
±èÀ±°æ ( Kim Youn-Kyoung ) - 
ÀÌ°í¿î ( Lee Ko-Woon ) - 
Á¤¾Ö¸® ( Jung Ae-Ri ) - 
ÀåÁöÈñ ( Jang Ji-Hui ) - 
±è´ÙÀº ( Kim Da-Eun ) - 
±è°æÈñ ( Kim Kyung-Hee ) - 
½Å¼Ò¿µ ( Shin So-Young ) - 
¹Ú¼Û¶õ ( Park Song-Ran ) - 
ÀÓÀº½Ç ( Yim Eun-Shil ) - 

Abstract

Purpose: The purpose of the study quantitatively investigates the experience of unmet healthcare service utilization by rural populations in vulnerable areas during the COVID-19 pandemic based on Andersen¡¯s behavior model. At the same time, this study attempts to describe the experiences of unmet healthcare service utilization among participants in vulnerable rural areas by analyzing qualitative contents through open-ended question.

Methods: Data were collected from October to November 2022 using Qualtrix, a web-based survey platform. A total of 863 participants completed an online survey. Quantitative data were analyzed using chi-square test and logistic regression analysis. Qualitative data were analyzed using content analysis.

Results: The factors affecting participants¡¯ unmet healthcare service utilization were type of residential area and underlying disease. The qualitative analysis identified; four categories and nine sub-categories.

Conclusion: Based on these findings, it is necessary to develop a disaster nursing response model according to the type of residential areas and the number of people.
KeyWords

Rural health services, COVID-19, Primary health care
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