Using a patient-reported outcome measure to assess quality of life at Western Sydney Sexual Health Centre

被引:0
|
作者
Mason, E. [1 ]
Lewis, D. A. [1 ,2 ,3 ]
Zablotska, I. [1 ,2 ,3 ]
Tomlins, L. [2 ]
机构
[1] Univ Sydney, Sydney Med Sch, Baludarri Western Sydney Precinct, Westmead, NSW 2145, Australia
[2] Western Sydney Local Hlth Dist, Western Sydney Sexual Hlth Ctr, Parramatta, NSW 2150, Australia
[3] Univ Sydney, Sydney Inst Infect Dis, Westmead, NSW 2145, Australia
关键词
Australia; HIV; patient reported outcome measure; people living with HIV; PozQol; QOL; quality of life; Sydney; HIV-RELATED STIGMA; PEOPLE;
D O I
10.1071/SH24040
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background. Attaining a good quality of life (QOL) is a priority for people living with HIV (PLHIV). We explored the interaction between QOL and the associated demographic, behavioural and clinical factors for PLHIV attending an outer-metropolitan clinical setting in Western Sydney, Australia. The clinic's cohort of PLHIV is characterised by relatively high proportions of women, heterosexual men, and patients from culturally and linguistically diverse (CALD) communities. Methods. We assessed QOL using the PozQol tool that is specifically designed for PLHIV. QOL scores and de-identified socio-demographic and clinical data were extracted from the electronic and paper medical records of PLHIV who completed a PozQol tool (September 2020-March 2022). We performed descriptive analyses and logistic regression to identify associations. Results. Among 188 patients, there were 77.7% men, 21.3% women, 1.1% transwomen; 67.0% were born overseas, 85.1% spoke English, 84.4% were Medicare-eligible, 85.9% were employed, 58.5% were diagnosed with HIV 6-20 years ago, and 33.0% within the past 5 years. Overall, 58.0% had a high or very high QOL. A low score in any domain was associated with Medicare-ineligibility. Low QOL scores in specific domains were associated with the following factors: health (being born overseas, having partners of both sexes), psychological (unemployment, having a mental health condition, having a viral load >20 copies/mL), social (unemployment), and functional (Medicare-eligibility, unemployment, having a viral load >20 copies/mL). Conclusions. The PozQol tool has enhanced understanding of factors impacting on QOL for PLHIV attending our service in Western Sydney. Identifying patients with low QOL scores allows targeted clinical interventions to improve QOL, and re-alignment of clinical services to better support PLHIV.
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页数:9
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