Factors Influencing the Initiation of Treatment after the Diagnosis of Korean Patients with HIV

Article information

Res Community Public Health Nurs. 2018;29(3):279-289
Publication date (electronic) : 2018 September 28
doi : https://doi.org/10.12799/jkachn.2018.29.3.279
1Doctoral Student, College of Nursing, Yonsei University, Seoul, Korea.
2Professor, College of Nursing · Mo-Im Kim Nursing Research Institute, Yonsei University, Seoul, Korea.
3Assistant Research Professor, College of Nursing, University of Illinois at Chicago, Illinois, USA.
Corresponding author: Kim, Gwang Suk. College of Nursing, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea. Tel: +82-2-2228-3342, Fax: +82-2-392-5440, gskim@yuhs.ac
Received 2018 February 19; Revised 2018 July 19; Accepted 2018 July 21.

Abstract

Purpose

This study has been conducted to identify factors that influence the initiation of treatment after the diagnosis of Korean patients with HIV.

Methods

A cross-sectional study design was used, and 290 patients with HIV from outpatient departments of 7 hospitals participated. Self-report questionnaires included items on the days from the primary diagnosis to the initiation of treatment, and the patients' demographic and disease related characteristics. Negative binomial regression model (NBR) was utilized to determine risk factors influencing the initiation of treatment after the diagnosis of the patients with HIV.

Results

The skewness of days was 6.62, and the degree of asymmetry of distribution was severe. In NBR, patients who were in their 40s and 50s, female, unmarried and living with their family, jobless, in a middle or high level of economic status, and diagnosed before 2014 showed a higher risk of delayed treatment than patients who were younger, male, married and living with family, in a low level of economic status, and diagnosed in 2014 or afterwards.

Conclusion

The findings suggest the necessity of intervention to promote HIV patients' early entry into treatment based on the participants' characteristics.

Notes

This work was supported by the National Research Foundation of Korea under Grant number NRF-2015R1D1A1A01057423.

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Article information Continued

Funded by : National Research Foundation of Koreahttps://doi.org/10.13039/501100003725
Award ID : NRF-2015R1D1A1A01057423

Table 1

Characteristics of Distribution of Dependent Variables

Table 1

Table 2

Differences in Time to Treatment according to Characteristics of Participants (N=290)

Table 2

Missing values are not included; It includes 3 categories: a) married & alone, b) married & with friend/lover, shelter, etc, c) divorced/separated/widowed & with friend/lover, shelter, etc.

Table 3

Negative Binomial Regression for Time to Treatment (N=290)

Table 3

CI=confidence interval; LL=lower limit; UL=upper limit; Ref.=reference group; It includes 3 categories: 1) married & alone, 2) married & with friend/lover, shelter, etc, 3) divorced/separated/widowed & with friend/lover, shelter, etc.