Social network analysis identified central outcomes for core outcome sets using systematic reviews of HIV/AIDS

Ian J. Saldanha, Tianjing Li, Cui Yang, Cesar Ugarte-Gil, George W. Rutherford, Kay Dickersin

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)164-175
Number of pages12
JournalJournal of Clinical Epidemiology
Volume70
DOIs
StatePublished - Feb 1 2016

Fingerprint

Social Support
Acquired Immunodeficiency Syndrome
HIV
Health Services
Mortality
Research

Keywords

  • Core outcome sets
  • HIV/AIDS
  • Outcomes
  • Randomized controlled trials
  • Social network analysis
  • Systematic reviews

ASJC Scopus subject areas

  • Epidemiology

Cite this

Social network analysis identified central outcomes for core outcome sets using systematic reviews of HIV/AIDS. / Saldanha, Ian J.; Li, Tianjing; Yang, Cui; Ugarte-Gil, Cesar; Rutherford, George W.; Dickersin, Kay.

In: Journal of Clinical Epidemiology, Vol. 70, 01.02.2016, p. 164-175.

Research output: Contribution to journalArticle

@article{939272a1881743d3b1bdf990169ca7ce,
title = "Social network analysis identified central outcomes for core outcome sets using systematic reviews of HIV/AIDS",
abstract = "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.",
keywords = "Core outcome sets, HIV/AIDS, Outcomes, Randomized controlled trials, Social network analysis, Systematic reviews",
author = "Saldanha, {Ian J.} and Tianjing Li and Cui Yang and Cesar Ugarte-Gil and Rutherford, {George W.} and Kay Dickersin",
year = "2016",
month = "2",
day = "1",
doi = "10.1016/j.jclinepi.2015.08.023",
language = "English (US)",
volume = "70",
pages = "164--175",
journal = "Journal of Clinical Epidemiology",
issn = "0895-4356",
publisher = "Elsevier USA",

}

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

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

UR - http://www.scopus.com/inward/record.url?scp=84957438856&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84957438856&partnerID=8YFLogxK

U2 - 10.1016/j.jclinepi.2015.08.023

DO - 10.1016/j.jclinepi.2015.08.023

M3 - Article

C2 - 26408357

AN - SCOPUS:84957438856

VL - 70

SP - 164

EP - 175

JO - Journal of Clinical Epidemiology

JF - Journal of Clinical Epidemiology

SN - 0895-4356

ER -