BACKGROUND: Brief self-reports of antiretroviral therapy adherence that place minimal burden on patients and clinic staff are promising alternatives to more elaborate adherence assessments currently in use. This research assessed the association between self-reported adherence on visual analog scale (VASs) and an existing, more complex self-reported measure of adherence, the AACTG, and the degree to which each method distinguished optimally and suboptimally adherent patients in terms of reported barriers to adherence. METHODS: HIV-infected patients (N = 147) at a southeastern US clinic completed a computerized assessment including an antiretroviral therapy adherence VAS, a modified version of the AACTG, and a measure of adherence. RESULTS: Adherence rates were comparable across the AACTG (81%) and VAS (87%); they significantly correlated (r = 0.585) and produced identical classification of optimal (>90%) or suboptimal (<90%) adherence for 66% of patients. In general, VAS scores tended to be higher than AACTG scores. Suboptimally adherent patients reported more adherence barriers than those classified as optimally adherent, and those so classified by the VAS reported considerably more barriers to adherence than those so classified by the AACTG. CONCLUSIONS: Results generally support the construct validity of the VAS and its use as an easily administered assessment tool that can identify patients with barriers to adherence who might benefit from adherence support interventions.
BACKGROUND: Brief self-reports of antiretroviral therapy adherence that place minimal burden on patients and clinic staff are promising alternatives to more elaborate adherence assessments currently in use. This research assessed the association between self-reported adherence on visual analog scale (VASs) and an existing, more complex self-reported measure of adherence, the AACTG, and the degree to which each method distinguished optimally and suboptimally adherent patients in terms of reported barriers to adherence. METHODS:HIV-infectedpatients (N = 147) at a southeastern US clinic completed a computerized assessment including an antiretroviral therapy adherence VAS, a modified version of the AACTG, and a measure of adherence. RESULTS: Adherence rates were comparable across the AACTG (81%) and VAS (87%); they significantly correlated (r = 0.585) and produced identical classification of optimal (>90%) or suboptimal (<90%) adherence for 66% of patients. In general, VAS scores tended to be higher than AACTG scores. Suboptimally adherent patients reported more adherence barriers than those classified as optimally adherent, and those so classified by the VAS reported considerably more barriers to adherence than those so classified by the AACTG. CONCLUSIONS: Results generally support the construct validity of the VAS and its use as an easily administered assessment tool that can identify patients with barriers to adherence who might benefit from adherence support interventions.
Authors: Taneisha S Buchanan; Carla J Berg; Lisa Sanderson Cox; Niaman Nazir; Neal L Benowitz; Lisa Yu; Olivia Yturralde; Peyton Jacob; Won S Choi; Jasjit S Ahluwalia; Nicole L Nollen Journal: Nicotine Tob Res Date: 2012-02-24 Impact factor: 4.244
Authors: I B Corless; A J Guarino; P K Nicholas; L Tyer-Viola; K Kirksey; J Brion; C Dawson Rose; L S Eller; M Rivero-Mendez; J Kemppainen; K Nokes; E Sefcik; J Voss; D Wantland; M O Johnson; J C Phillips; A Webel; S Iipinge; C Portillo; W-T Chen; M Maryland; M J Hamilton; P Reid; D Hickey; W L Holzemer; K M Sullivan Journal: AIDS Care Date: 2012-07-09
Authors: Michael J Stirratt; Jacqueline Dunbar-Jacob; Heidi M Crane; Jane M Simoni; Susan Czajkowski; Marisa E Hilliard; James E Aikens; Christine M Hunter; Dawn I Velligan; Kristen Huntley; Gbenga Ogedegbe; Cynthia S Rand; Eleanor Schron; Wendy J Nilsen Journal: Transl Behav Med Date: 2015-07-09 Impact factor: 3.046
Authors: Catherine Slota; Robyn Sayner; Michelle Vitko; Delesha M Carpenter; Susan J Blalock; Alan L Robin; Kelly W Muir; Mary Elizabeth Hartnett; Betsy Sleath Journal: Optom Vis Sci Date: 2015-05 Impact factor: 1.973
Authors: N S Ku; Y Lee; J Y Ahn; J E Song; M H Kim; S B Kim; S J Jeong; K-W Hong; E Kim; S H Han; J Y Song; H J Cheong; Y G Song; W J Kim; J M Kim; D M Smith; J Y Choi Journal: HIV Med Date: 2014-02-24 Impact factor: 3.180
Authors: Peter K Olds; Julius P Kiwanuka; Denis Nansera; Yong Huang; Peter Bacchetti; Chengshi Jin; Monica Gandhi; Jessica E Haberer Journal: AIDS Care Date: 2014-12-06
Authors: Seth C Kalichman; Christina M Amaral; Connie Swetzes; Michelle Jones; Rene Macy; Moira O Kalichman; Chauncey Cherry Journal: J Int Assoc Physicians AIDS Care (Chic) Date: 2009 Nov-Dec
Authors: Robin M Nance; J A Chris Delaney; Jane M Simoni; Ira B Wilson; Kenneth H Mayer; Bridget M Whitney; Frances M Aunon; Steven A Safren; Michael J Mugavero; W Christopher Mathews; Katerina A Christopoulos; Joseph J Eron; Sonia Napravnik; Richard D Moore; Benigno Rodriguez; Bryan Lau; Rob J Fredericksen; Michael S Saag; Mari M Kitahata; Heidi M Crane Journal: Ann Intern Med Date: 2018-08-21 Impact factor: 25.391