TY - JOUR
T1 - Social network analysis identified central outcomes for core outcome sets using systematic reviews of HIV/AIDS
AU - Saldanha, Ian J.
AU - Li, Tianjing
AU - Yang, Cui
AU - Ugarte-Gil, Cesar
AU - Rutherford, George W.
AU - Dickersin, Kay
N1 - Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2016/2/1
Y1 - 2016/2/1
N2 - Objectives Methods to develop core outcome sets, the minimum outcomes that should be measured in research in a topic area, vary. We applied social network analysis methods to understand outcome co-occurrence patterns in human immunodeficiency virus (HIV)/AIDS systematic reviews and identify outcomes central to the network of outcomes in HIV/AIDS. Study Design and Setting We examined all Cochrane reviews of HIV/AIDS as of June 2013. We defined a tie as two outcomes (nodes) co-occurring in ≥2 reviews. To identify central outcomes, we used normalized node betweenness centrality (nNBC) (the extent to which connections between other outcomes in a network rely on that outcome as an intermediary). We conducted a subgroup analysis by HIV/AIDS intervention type (i.e., clinical management, biomedical prevention, behavioral prevention, and health services). Results The 140 included reviews examined 1,140 outcomes, 294 of which were unique. The most central outcome overall was all-cause mortality (nNBC = 23.9). The most central and most frequent outcomes differed overall and within subgroups. For example, "adverse events (specified)" was among the most central but not among the most frequent outcomes, overall. Conclusion Social network analysis methods are a novel application to identify central outcomes, which provides additional information potentially useful for developing core outcome sets.
AB - Objectives Methods to develop core outcome sets, the minimum outcomes that should be measured in research in a topic area, vary. We applied social network analysis methods to understand outcome co-occurrence patterns in human immunodeficiency virus (HIV)/AIDS systematic reviews and identify outcomes central to the network of outcomes in HIV/AIDS. Study Design and Setting We examined all Cochrane reviews of HIV/AIDS as of June 2013. We defined a tie as two outcomes (nodes) co-occurring in ≥2 reviews. To identify central outcomes, we used normalized node betweenness centrality (nNBC) (the extent to which connections between other outcomes in a network rely on that outcome as an intermediary). We conducted a subgroup analysis by HIV/AIDS intervention type (i.e., clinical management, biomedical prevention, behavioral prevention, and health services). Results The 140 included reviews examined 1,140 outcomes, 294 of which were unique. The most central outcome overall was all-cause mortality (nNBC = 23.9). The most central and most frequent outcomes differed overall and within subgroups. For example, "adverse events (specified)" was among the most central but not among the most frequent outcomes, overall. Conclusion Social network analysis methods are a novel application to identify central outcomes, which provides additional information potentially useful for developing core outcome sets.
KW - Core outcome sets
KW - HIV/AIDS
KW - Outcomes
KW - Randomized controlled trials
KW - Social network analysis
KW - Systematic reviews
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U2 - 10.1016/j.jclinepi.2015.08.023
DO - 10.1016/j.jclinepi.2015.08.023
M3 - Article
C2 - 26408357
AN - SCOPUS:84957438856
SN - 0895-4356
VL - 70
SP - 164
EP - 175
JO - Journal of Clinical Epidemiology
JF - Journal of Clinical Epidemiology
ER -