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Factors Affecting the Life Expectancy Regarding Health Expenditure in WHO Countries

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Abstract

¿¬±¸¸ñÀû: °ú°Å¿¡ ºñÇØ Á¡Á¡ Àü ¼¼°èÀÇ ¸¹Àº ³ª¶óµé¿¡ À־ ¼Òµæ¼öÁØÀÌ Áõ°¡Çϰí ÀÖÀ¸¸ç, ÀÌ¿Í ´õºÒ¾î Æò±Õ¼ö¸íÀº Áõ°¡ÇÏ°í ¿µÀ¯¾Æ »ç¸Á·üÀº °¨¼ÒÇϰí ÀÖ´Â Ãß¼¼ÀÌ´Ù. ±×·¯³ª ÀÌ·¯ÇÑ ÁöÇ¥µé¿¡ À־ ¿©ÀüÈ÷ °¢±¹°£¿¡ Ä¿´Ù¶õ °ÝÂ÷°¡ ÀÖÀ½Àº ¹°·Ð, ±× Â÷À̰¡ Á¡Á¡ ´õ ½ÉÇØÁö°í ÀÖ´Â °ÍÀÌ »ç½ÇÀÌ´Ù. ¼¼°èº¸°Ç±â±¸(WHO)¿¡¼­´Â ¡°World Health Report¡±¶ó´Â ¿¬°£ º¸°í¼­¸¦ ÅëÇØ ÃÖ±Ù±îÁö ¼¼°è °¢±¹ÀÇ Æò±Õ¼ö¸íÀ̳ª ¿µ¾Æ»ç¸Á·ü°ú °°Àº °Ç°­°ü·Ã Åë°è ¹× ÀÇ·áºñÁöÃâ°ú °°Àº °æÁ¦Åë°è¸¦ ¹ßÇ¥ÇÏ¿´À¸¸ç, º» ¿¬±¸¿¡¼­´Â ÀÌ·¯ÇÑ ÀڷḦ ÀÌ¿ëÇÏ¿© WHO °¡¸Í±¹À» ´ë»óÀ¸·Î ±â´ë¿©¸í ¹× ¿µ¾Æ»ç¸Á·ü¿¡ ¾î¶°ÇÑ ¿äÀεéÀÌ ¿µÇâÀ» ¹ÌÄ¡´ÂÁö¿¡ °üÇÏ¿© ºÐ¼®ÇÏ´Â °ÍÀ» ¿¬±¸ÀÇ ¸ñÀûÀ¸·Î ÇÏ¿´´Ù.

¿¬±¸¹æ¹ý: °Ç°­ÁöÇ¥¿Í ÀÇ·áºñ ÁöÃâÀÇ °¡Àå ÃÖ±Ù ÀÚ·áÀÎ ¡°World Health Report 2005¡±¸¦ ÀÌ¿ëÇÏ¿© WHO °¡¸Í±¹ 192°³±¹À» ºÐ¼®´ë»óÀ¸·Î ÇÏ¿´´Ù. ºÐ¼®´ë»óÀÇ Ãâ»ý½Ã Æò±Õ ±â´ë¿©¸íÀº 65.5¼¼¿´°í, 5¼¼ ÀÌÇÏ ¿µ¾Æ»ç¸Á·üÀº 1000¸í´ç 61.8¸íÀ̾úÀ¸³ª °¢±¹°£ 3.0¸í¿¡¼­ 283.0¸íÀ¸·Î Ä¿´Ù¶õ ÆíÂ÷¸¦ º¸¿´´Ù. ±¹³»ÃÑ»ý»ê(GDP) ´ëºñ ÀÇ·áºñÁöÃâÀº Æò±Õ 6.2%¿´À¸¸ç, ±¸¸Å·ÂÁö¼ö·Î ȯ»êÇÑ ÀÏÀÎ´ç ±¹¹Î¼Òµæ(GNI)Àº 9,855´Þ·¯(US)¿´À¸¸ç 620´Þ·¯¿¡¼­ 61,220´Þ·¯±îÁöÀÇ ÆíÂ÷¸¦ º¸¿´´Ù.

¿¬±¸°á°ú: ¿äÀκм® °á°ú, ¼³¸íº¯¼öµéÀÌ °ø°øÀÇ·áºñÁöÃâ, ¹Î°£ÀÇ·áºñÁöÃâ, °øÀû Áö¿øÀÇ ¼¼ ¿äÀÎÀ¸·Î ºÐ·ùµÇ¾ú´Ù. Ãß°¡·Î ½Ç½ÃµÈ ·Î±×¡¤¸®´Ï¾î ´ÙÁßȸ±ÍºÐ¼®(log-linear multiple regression analysis)À» ÅëÇØ °ø°øÀÇ·áºñÁöÃâ°ú °øÀû Áö¿øÀÌ ±â´ë¿©¸í ¹× ¿µ¾Æ»ç¸Á·ü°ú Åë°èÀûÀ¸·Î À¯ÀÇÇÑ ¾çÀÇ °ü°è¸¦ °®´Â °ÍÀ» ¾Ë ¼ö ÀÖ¾ú´Ù. ÇÑÆí, ¹Î°£ÀÇ·áºñÁöÃâÀº ±â´ë¿©¸í¿¡´Â ´Ù¼Ò À¯ÀÇÇÑ °ü°è°¡ ÀÖ¾úÁö¸¸ ¿µ¾Æ»ç¸Á·ü°ú´Â °ü°è°¡ ¾ø´Â °ÍÀ¸·Î È®ÀεǾú´Ù. º» ¿¬±¸ÀÇ Á¦ÇÑÁ¡À¸·Î´Â °Ç°­¼öÁØÀÇ ±¹Á¦ºñ±³¸¦ ÇÔ¿¡ ÀÖ¾î °æÁ¦Àû ¿äÀÎ ¿Ü¿¡ ´Ù¸¥ »çȸÀû, Á¤Ä¡Àû ¿äÀεéÀ» °í·ÁÇÏÁö ¸øÇß´Ù´Â Á¡À» µé ¼ö ÀÖÀ¸³ª ´Ù¸¥ ¸¹Àº ¿¬±¸¿¡¼­µµ °æÁ¦ÀûÀÎ ¿äÀÎÀ» °¡Àå Áß¿äÇÑ ¿ä¼Ò·Î ÆÄ¾ÇÇϰí ÀÖ´Ù´Â Á¡À» ÁöÀûÇÒ ¼ö ÀÖÀ¸¸ç, °¡´ÉÇÏ´Ù¸é ½Ã°£ÀÇ ÃßÀÌ¿¡ µû¸¥ º¯È­¸¦ º¸±â À§ÇØ ÆÐ³Îµ¥ÀÌÅ͸¦ ÀÌ¿ëÇÏ´Â °ÍÀÌ ¹Ù¶÷Á÷ÇϰÚÀ¸³ª WHO ÀÚ·áÀÇ ÇѰè·Î ÀÎÇÏ¿© °¡´ÉÇÏÁö ¾Ê¾Ò´Ù.

°á·Ð: º» ¿¬±¸ÀÇ ¼º°ú´Â °Ç°­¼öÁØÀÇ Çâ»óÀ» À§Çؼ­ °ø°øÀÇ·áºñÁöÃâÀ̳ª °øÀû Áö¿ø°ú °°Àº °ø°øºÎ¹®ÀÇ ¿ªÇÒÀÌ ±âÃÊÀûÀÎ ¿ªÇÒÀ» ÇÑ´Ù´Â Á¡À» ¾Ë¾Æ³Â´Ù´Â µ¥¿¡ ÀÖ´Ù°í ÇϰڴÙ.
Objectives: Life expectancy has extended and infant mortality has improved with the development of medical sciences and health care technology than ever before around the world. From these indicators, however, it is also true that the gap among these countries has even widened.

Methods: Analyses were made following two steps: First, a multivariate factor analysis was conducted to discover the correlation between both life expectancy and infant mortality and each explanatory variable used in this study. The analysis was expected to discover characteristics of explanatory variables on dependant variables. Second, a multiple regression analysis with exploratory factor analysis was conducted to identify key correlates with determinants of life expectancy and infant mortality.

Results: By the factor analysis, three clusters of variables appeared representing private expenditure on health, public expenditure on health, and social support each. And, an exploratory factor analysis found that public expenditure on health and social support were related with both life expectancy and infant mortality, whereas private expenditure on health was somewhat related with life expectancy but not with infant mortality.

Conclusion: Encouraging findings from the study were that public sector such as public expenditure on health or social support has an important role in improving health outcomes. Health policy makers should pay attention to the results from this study and take action for the betterment of our nation.

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life expectancy, infant mortality, public health expenditure, private health expenditure, social support
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ÁÖÁ¦¸í(Target field)
¿¬±¸´ë»ó(Population)
¿¬±¸Âü¿©(Sample size)
´ë»ó¼ºº°(Gender)
Áúº´Æ¯¼º(Condition Category)
¿¬±¸È¯°æ(Setting)
¿¬±¸¼³°è(Study Design)
¿¬±¸±â°£(Period)
ÁßÀç¹æ¹ý(Intervention Type)
ÁßÀç¸íĪ(Intervention Name)
Ű¿öµå(Keyword)
À¯È¿¼º°á°ú(Recomendation)
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±Ù°Å¼öÁØÆò°¡(Evidence Hierarchy)
ÃâÆÇ³âµµ(Year)
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DOI
KCDÄÚµå
ICD 03
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