Literature DB >> 18449821

Adherence to antiretroviral treatment in patients with HIV in the UK: a study of complexity.

Lorraine Sherr1, Fiona Lampe, Sally Norwood, Heather Leake Date, Richard Harding, Margaret Johnson, Simon Edwards, Martin Fisher, Gilly Arthur, Sarah Zetler, Jane Anderson.   

Abstract

Adherence to HIV treatment regimes is a core element to viral suppression. Yet measurement of adherence is complex. Although adherence levels are good predictors of outcome, they do not always provide full explanations of observed variations in responses. This study was set up to examine the complexity of adherence measurement and to examine rates of adherence in the presence of complex measurement. A total of 502 consecutive attenders at HIV clinics in the UK (80.5% response rate) provided detailed measurement on adherence in the preceding 7 days, setting out dose adherence, as well as measures of timing and dietary conditions. In addition, a range of psychological, demographic and relationship data were gathered to understand predictors of full and partial adherence. Although 79.1% reported dose adherence in the previous 7 days, 42.8% had not taken the dose at the correct time, and 27.2% had not taken the dose under the correct circumstances. Using a more complex composite measure of full adherence, rates reduced from 79.1% to 41.5%. Comparisons of those deemed fully adherent, partially adherent and non-adherent were carried out. Those that were fully adherent were significantly more likely to be older (F=7.8, p<0.001), UK born (F=6.8, p=0.03), code ethnicity as white (F=5.3, p=0.07), record higher quality of life (chi(2)=8.7, p=0.01), lower psychological symptoms (chi(2)=15.2, p=0.001) and lower global distress symptoms (chi(2)=6.9, p=0.03). There were no differences according to education, behavioural and attitudinal variables (disclosure, stable relationship, STI diagnosed, number of sexual partners, unprotected sex, optimism or treatment switching). Fully adherent groups were significantly more likely to be in agreement with their doctor on treatment initiation (chi(2)=6.2, p=0.045), satisfied with the amount of involvement in the decision-making process (chi(2)=7.3, p=.026), their wishes were considered (chi(2)=12.5, p=0.002) and had monitoring of their condition (chi(2)=7.1, p=0.028). Multivariate analysis showed that variables which contributed significantly at a 5% criterion level to complex adherence were physical symptoms (OR=0.56, p=0.05), psychological symptoms (OR=2.37, p<0.001), age (OR=0.96, p=0.02), education (OR=0.54, p=0.03), having more than one sexual partner (OR=0.46, p=0.03), having risky sex (OR=4.30, p=0.002) and being optimistic about treatments (OR=0.42, p=0.01). The softer markers of adherence are not usually measured in follow up and may account for variations in treatment responses. The complexity of adherence needs to be understood and addressed to maximise treatment efficacy.

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Year:  2008        PMID: 18449821     DOI: 10.1080/09540120701867032

Source DB:  PubMed          Journal:  AIDS Care        ISSN: 0954-0121


  21 in total

Review 1.  Understanding HIV disclosure: a review and application of the Disclosure Processes Model.

Authors:  Stephenie R Chaudoir; Jeffrey D Fisher; Jane M Simoni
Journal:  Soc Sci Med       Date:  2011-04-06       Impact factor: 4.634

Review 2.  Women and vulnerability to HAART non-adherence: a literature review of treatment adherence by gender from 2000 to 2011.

Authors:  Cathy M Puskas; Jamie I Forrest; Surita Parashar; Kate A Salters; Angela M Cescon; Angela Kaida; Cari L Miller; David R Bangsberg; Robert S Hogg
Journal:  Curr HIV/AIDS Rep       Date:  2011-12       Impact factor: 5.071

3.  Novel Approaches for Visualizing and Analyzing Dose-Timing Data from Electronic Drug Monitors, or "How the 'Broken Window' Theory Pertains to ART Adherence".

Authors:  Christopher J Gill; Mary Bachman DeSilva; Davidson H Hamer; Xu Keyi; Ira B Wilson; Lora Sabin
Journal:  AIDS Behav       Date:  2015-11

4.  Self-reported medication adherence and symptom experience in adults with HIV.

Authors:  Caryl Gay; Carmen J Portillo; Ryan Kelly; Traci Coggins; Harvey Davis; Bradley E Aouizerat; Clive R Pullinger; Kathryn A Lee
Journal:  J Assoc Nurses AIDS Care       Date:  2011-03-05       Impact factor: 1.354

5.  Assessment of factors associated with the quality of life of patients living with HIV/HCV co-infection.

Authors:  Marco Pereira; Renata Fialho
Journal:  J Behav Med       Date:  2016-08-09

6.  HIV Patient Characteristics that Affect Adherence to Exercise Programmes: An Observational Study.

Authors:  Andrea Petróczi; Kim Hawkins; Gareth Jones; Declan P Naughton
Journal:  Open AIDS J       Date:  2010-06-25

7.  Symptom Clusters in People Living with HIV Attending Five Palliative Care Facilities in Two Sub-Saharan African Countries: A Hierarchical Cluster Analysis.

Authors:  Katrien Moens; Richard J Siegert; Steve Taylor; Eve Namisango; Richard Harding
Journal:  PLoS One       Date:  2015-05-12       Impact factor: 3.240

8.  Understanding how adherence goals promote adherence behaviours: a repeated measure observational study with HIV seropositive patients.

Authors:  Gareth Jones; Kim Hawkins; Rebecca Mullin; Tamás Nepusz; Declan P Naughton; Paschal Sheeran; Andrea Petróczi
Journal:  BMC Public Health       Date:  2012-08-01       Impact factor: 3.295

9.  Why the Treatment of Mental Disorders Is an Important Component of HIV Prevention among People Who Inject Drugs.

Authors:  Elizabeth Buckingham; Ezra Schrage; Francine Cournos
Journal:  Adv Prev Med       Date:  2013-01-17

10.  Comment on "Pain in people living with HIV/AIDS: a systematic review (Parker et al. 2014)".

Authors:  Richard Harding; Lorraine Sherr
Journal:  J Int AIDS Soc       Date:  2014-05-27       Impact factor: 5.396

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