Li Li1, Li-Jung Liang, Zunyou Wu, Chunqing Lin, Jihui Guan. 1. Semel Institute for Neuroscience and Human Behavior, Center for Community Health, University of California at Los Angeles, 10920 Wilshire Blvd., Suite 350, Los Angeles, CA, 90024, USA, lililili@ucla.edu.
Abstract
PURPOSE: A randomized controlled trial with a matched design was conducted during October 2008 and February 2010, aiming at reducing HIV-related stigma in healthcare settings. METHODS:Forty county hospitals in Fujian and Yunnan provinces of China were matched into pairs and randomized to either an intervention condition or a control condition. Forty-four service providers were randomly selected from each hospital, yielding a sample of 1,760. Intervention outcomes were assessed at baseline, 6 and 12 months based on venue-based pair comparisons. We identified and trained 30 popular opinion leaders in each intervention hospital among service providers to disseminate stigma-reduction messages to their peer providers. RESULTS: Hospital and participant characteristics were comparable between the intervention and control conditions. Thirteen out of twenty pairs of hospitals showed significant reduction in the stigma outcome measure at the 6-month follow-up assessment. For most hospitals, the intervention effects were maintained at the 12-month follow-up assessment. Among the 13 pair of hospitals, which showed intervention effects at 6 months, eight were in Fujian and five were in Yunnan. The non-significant hospitals at 6 months had more beds than significant hospitals. However, the difference did not reach statistical significance. CONCLUSIONS: A matched design and venue-based analysis provide more insight in assessing intervention effects for facility-based intervention trials. The identification of venue-based or hospital characteristics that are associated with intervention efficacy provides additional implications for the adaptation and implementation of future interventions.
RCT Entities:
PURPOSE: A randomized controlled trial with a matched design was conducted during October 2008 and February 2010, aiming at reducing HIV-related stigma in healthcare settings. METHODS: Forty county hospitals in Fujian and Yunnan provinces of China were matched into pairs and randomized to either an intervention condition or a control condition. Forty-four service providers were randomly selected from each hospital, yielding a sample of 1,760. Intervention outcomes were assessed at baseline, 6 and 12 months based on venue-based pair comparisons. We identified and trained 30 popular opinion leaders in each intervention hospital among service providers to disseminate stigma-reduction messages to their peer providers. RESULTS: Hospital and participant characteristics were comparable between the intervention and control conditions. Thirteen out of twenty pairs of hospitals showed significant reduction in the stigma outcome measure at the 6-month follow-up assessment. For most hospitals, the intervention effects were maintained at the 12-month follow-up assessment. Among the 13 pair of hospitals, which showed intervention effects at 6 months, eight were in Fujian and five were in Yunnan. The non-significant hospitals at 6 months had more beds than significant hospitals. However, the difference did not reach statistical significance. CONCLUSIONS: A matched design and venue-based analysis provide more insight in assessing intervention effects for facility-based intervention trials. The identification of venue-based or hospital characteristics that are associated with intervention efficacy provides additional implications for the adaptation and implementation of future interventions.
Authors: Nancy S Padian; Charles B Holmes; Sandra I McCoy; Rob Lyerla; Paul D Bouey; Eric P Goosby Journal: J Acquir Immune Defic Syndr Date: 2011-03-01 Impact factor: 3.731
Authors: Becky L Genberg; Zdenek Hlavka; Kelika A Konda; Suzanne Maman; Suwat Chariyalertsak; Alfred Chingono; Jessie Mbwambo; Precious Modiba; Heidi Van Rooyen; David D Celentano Journal: Soc Sci Med Date: 2009-05-07 Impact factor: 4.634
Authors: J A Kelly; J S St Lawrence; Y E Diaz; L Y Stevenson; A C Hauth; T L Brasfield; S C Kalichman; J E Smith; M E Andrew Journal: Am J Public Health Date: 1991-02 Impact factor: 9.308
Authors: Laura Nyblade; Melissa A Stockton; Kayla Giger; Virginia Bond; Maria L Ekstrand; Roger Mc Lean; Ellen M H Mitchell; La Ron E Nelson; Jaime C Sapag; Taweesap Siraprapasiri; Janet Turan; Edwin Wouters Journal: BMC Med Date: 2019-02-15 Impact factor: 8.775