Sun-Woo Hong

doi:10.4040/jkan.2009.39.4.480

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Original Article
Factors influencing Health-related Quality of Life in Korean Medicaid Beneficiaries: Sun-Woo Hong; Journal of Korean Academy of Nursing 2009;39(4):480-489.
DOI: https://doi.org/10.4040/jkan.2009.39.4.480
Published online: August 31, 2009

Part-time Lecturer, College of Nursing, Kangwon National University, Chuncheon, Korea.

Address reprint requests to: Hong, Sun-Woo. College of Nursing, Kangwon National University, Hyoja 2-dong, Chuncheon 200-701, Korea. Tel: 82-10-2084-7208, Fax: 82-33-242-8840, swhongks77@freechal.com

• Received: March 27, 2009 • Accepted: July 13, 2009

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Abstract
REFERENCES

Abstract

Purpose
The purpose of this study was to identify the factors which influence health-related quality of life (HRQoL) in Korean Medicaid beneficiaries. The relationships among sociodemographic factors, health status, health behavior, and HRQoL were analyzed
Methods
Data from the 2007 survey on Health Services Use and Health Status of Medicaid Beneficiaries conducted by the Ministry for Health Welfare and Family Affairs were examined. To analyze the sample survey data, descriptive statistics, correlation and hierarchical multiple survey regression analysis with SAS 9.1.3 package were used with SURVEYMEANS and SURVEYREG procedures, which incorporate the sample design into the analyses in order to make statistically valid inference for the whole Medicaid population.
Results
The HRQoL correlated with limitations in Activities of Daily Living (ADL) (r=-.509, p<.001), stress (r=-.387, p<.001), depression (r=-.385, p<.001), alcohol consumption (r=.216, p<.001), and exercise (r=.293, p<.001). Significant factors that affect HRQoL of Medicaid beneficiaries were gender, region, limitations in ADL, stress, depression, alcohol consumption, and regular exercise. These variables explained 44.6% of HRQoL (F= 215.00, p<.001).
Conclusion
The results indicate that to improve the HRQoL of Medicaid beneficiaries it is important to develop nursing intervention programs that focus on psychological health and health behavior and to give consideration to differences in gender and region.
Keywords: Medicaid; Health behavior; Quality of life

REFERENCES

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Table 1

General Characteristics of Study Participants (N=3,753)

^*Numbers are unweighted; ^†Percentage is weighted.

Table 2

Correlations of Study Variables with Health related Quality of Life (N=3,753)

HRQoL=health related quality of life; SRH=self-rated health; PS=physical symptom; PF=physical function; EF=emotional function; SF=social function.

Table 3

Hierarchical Survey Regression Analysis of Variables influencing Health related Quality of Life (N=3,753)

^*Dummy variables: Gender (male=0, female=1), Region (city=0, rural=1).

Figure & Data

REFERENCES

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Factors influencing Health-related Quality of Life in Korean Medicaid Beneficiaries

J Korean Acad Nurs. 2009;39(4):480-489. Published online August 31, 2009

DOI: https://doi.org/10.4040/jkan.2009.39.4.480

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Factors influencing Health-related Quality of Life in Korean Medicaid Beneficiaries

Table 1

General Characteristics of Study Participants (N=3,753)

^*Numbers are unweighted; ^†Percentage is weighted.

Table 2

Correlations of Study Variables with Health related Quality of Life (N=3,753)

HRQoL=health related quality of life; SRH=self-rated health; PS=physical symptom; PF=physical function; EF=emotional function; SF=social function.

Table 3

Hierarchical Survey Regression Analysis of Variables influencing Health related Quality of Life (N=3,753)

^*Dummy variables: Gender (male=0, female=1), Region (city=0, rural=1).

Table 1 General Characteristics of Study Participants (N=3,753)

^*Numbers are unweighted; ^†Percentage is weighted.

Table 2 Correlations of Study Variables with Health related Quality of Life (N=3,753)

HRQoL=health related quality of life; SRH=self-rated health; PS=physical symptom; PF=physical function; EF=emotional function; SF=social function.

Table 3 Hierarchical Survey Regression Analysis of Variables influencing Health related Quality of Life (N=3,753)

^*Dummy variables: Gender (male=0, female=1), Region (city=0, rural=1).