Prevalence, severity, and risk factors of disability among adults living with HIV accessing routine outpatient HIV care in London, United Kingdom (UK): A crosssectional self-report study

被引:5
作者
Brown, Darren A. [1 ]
O'Brien, Kelly K. [2 ,3 ,4 ]
Harding, Richard [5 ,6 ]
Sedgwick, Philip M. [7 ]
Nelson, Mark [8 ,9 ]
Boffito, Marta [8 ]
Lewko, Agnieszka [10 ,11 ]
机构
[1] Chelsea & Westminster Hosp NHS Fdn Trust, Therapies Dept, London, England
[2] Univ Toronto, Dept Phys Therapy, Toronto, ON, Canada
[3] Univ Toronto, Inst Hlth Policy Management & Evaluat IHPME, Toronto, ON, Canada
[4] Univ Toronto, Rehabil Sci Inst RSI, Toronto, ON, Canada
[5] Kings Coll London, Florence Nightingale Fac Nursing Midwifery & Pall, London, England
[6] Kings Coll London, Cicely Saunders Inst Palliat Care Policy & Rehabi, London, England
[7] St Georges Univ London, Inst Med & Biomed Educ, London, England
[8] Chelsea & Westminster Hosp NHS Fdn Trust, Dept HIV Med, London, England
[9] Imperial Coll London, Dept Med, Fac Med, London, England
[10] Kingston Univ, Ctr Allied Hlth, London, England
[11] St Georges Univ London, London, England
来源
PLOS ONE | 2022年 / 17卷 / 05期
关键词
HEALTH; INFECTION; HIV/AIDS; DETERMINANTS; EXPERIENCES; PEOPLE; REHABILITATION; CONSEQUENCES; POPULATION; FRAILTY;
D O I
10.1371/journal.pone.0267271
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background The study objectives were to measure disability prevalence and severity, and examine disability risk factors, among adults living with HIV in London, United Kingdom (UK). Methods Self-reported questionnaires were administered: World Health Organization Disability Assessment Schedule 2.0 (WHODAS), HIV Disability Questionnaire (HDQ), Equality Act disability definition (EADD), and demographic questionnaire. We calculated proportion (95% Confidence Interval; CI) of "severe" and "moderate" disability measured using EADD and WHODAS scores.2 respectively. We measured disability severity with HDQ domain severity scores. We used demographic questionnaire responses to assess risk factors of "severe" and "moderate" disability using logistic regression analysis, and HDQ severity domain scores using linear regression analysis. Results Of 201 participants, 176 (87.6%) identified as men, median age 47 years, and 194 (96.5%) virologically suppressed. Severe disability prevalence was 39.5% (n = 79/201), 95% CI [32.5%, 46.4%]. Moderate disability prevalence was 70.5% (n = 141/200), 95% CI [64.2%, 76.8%]. Uncertainty was the most severe HDQ disability domain. Late HIV diagnosis was a risk factor for severe disability [Odds Ratio (OR) 2.71; CI 1.25, 5.87]. Social determinants of health, economic inactivity [OR 2.79; CI 1.08, 7.21] and receiving benefits [OR 2.87; CI 1.05, 7.83], were risk factors for "severe" disability. Economic inactivity [OR 3.14; CI 1.00, 9.98] was a risk factor for "moderate" disability. Economic inactivity, receiving benefits, and having no fixed abode were risk factors (P.0.05) for higher HDQ severity scores in physical, mental and emotional, difficulty with day-to-day activities, and challenges to social participation domains. Personal factors, identifying as a woman and being aged <50 years, were risk factors (P.0.05) for higher HDQ severity scores in mental and emotional, uncertainty, and challenges with social participation domains. Conclusions People living with well-controlled HIV in London UK experienced multi-dimensional and episodic disability. Results help to better understand the prevalence, severity, and risk factors of disability experienced by adults living with HIV, identify areas to target interventions, and optimise health and functioning.
引用
收藏
页数:24
相关论文
共 109 条
  • [1] Influences of Social Determinants of Health on African Americans Living With HIV in the Rural Southeast: A Qualitative Meta-synthesis
    Abbott, Laurie S.
    Williams, Christine L.
    [J]. JANAC-JOURNAL OF THE ASSOCIATION OF NURSES IN AIDS CARE, 2015, 26 (04): : 340 - 356
  • [2] Measuring the biases in self-reported disability status: evidence from aggregate data
    Akashi-Ronquest, Naoko
    Carrillo, Paul
    Dembling, Bruce
    Stern, Steven
    [J]. APPLIED ECONOMICS LETTERS, 2011, 18 (10-12) : 1053 - 1060
  • [3] Avila-Funes JA, 2016, AIDS RES HUM RETROV, V32, P155, DOI [10.1089/aid.2015.0171, 10.1089/AID.2015.0171]
  • [4] Normative Data for the 12 Item WHO Disability Assessment Schedule 2.0
    Andrews, Gavin
    Kemp, Alice
    Sunderland, Matthew
    Von Korff, Michael
    Ustun, Tevik Bedirhan
    [J]. PLOS ONE, 2009, 4 (12):
  • [5] [Anonymous], 2017, LANCET HIV, V4, pE277, DOI 10.1016/S2352-3018(17)30114-5
  • [6] [Anonymous], Definition of disability under the Equality Act 2010
  • [7] Global and regional trends of people living with HIV aged 50 and over: Estimates and projections for 2000-2020
    Autenrieth, Christine S.
    Beck, Eduard J.
    Stelzle, Dominik
    Mallouris, Christoforos
    Mahy, Mary
    Ghys, Peter
    [J]. PLOS ONE, 2018, 13 (11):
  • [8] Auzenbergs M, 2018, POSITIVE VOICES NATL
  • [9] Axelsson Erland, 2017, JMIR Ment Health, V4, pe58, DOI 10.2196/mental.7497
  • [10] Knowledge of HIV-related disabilities and challenges in accessing care: Qualitative research from Zimbabwe
    Banks, Lena Morgon
    Zuurmond, Maria
    Ferrand, Rashida
    Kuper, Hannah
    [J]. PLOS ONE, 2017, 12 (08):