Pulling together: interagency coordination and HIV/STD prevention.

Pulling together: interagency coordination and HIV/STD prevention.
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齐心协力:机构间协调和艾滋病毒/性病预防。

DOI:
10.1097/01.phh.0000303419.06389.17
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发表时间:
2008
期刊:
Journal of public health management and practice : JPHMP
影响因子:
--
通讯作者:
Levandowski,BrookeA
Levandowski,BrookeA
中科院分区:
--
文献类型:
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作者:
Thomas,JamesC;Carter,Craig;Torrone,Elizabeth;Levandowski,BrookeA

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使用多重网络比较,我们确定性传播疾病(STD)率或黑白STD率差异是否与艾滋病毒预防机构如何通过信息,客户或资金交流进行互动有关。在10个北卡罗莱纳州的县,我们进行了横截面分析,使用每个县的网络作为感兴趣的单位。使用面对面访谈的数据,使用UCINET计算密度(整体连通性)和集中度(集中信息中心的数量)。县的特点和性病发病率之间的关联进行了评估与精确Wilcoxon秩和检验的统计学意义。收缩压降低(P=. 01)在网络密度高的国家,以信息或客户交流为基础。对黑白比率差异的影响方向相同,但较弱。网络集中度高的地方,梅毒患病率高,黑白患病率差异大。淋病率表现出类似的,但衰减的模式与网络特征的关联。当所有机构相互作用时(密度),性病预防更有效,但当主要与少数中央机构相互作用时(程度集中),效果较差。本研究所采用的网路交换措施,可能适用于未来评估资助预防计画的服务提供。
Using multiple network comparisons, we determined whether sexually transmitted disease (STD) rates or black-white STD rate differences are related to how HIV prevention agencies interact through exchanges of information, clients, or funds. In 10 North Carolinian counties, we conducted a cross-sectional analysis, using each county’s network as the unit of interest. Using data from face-to-face interviews, measures of the density (overall connectedness) and degree centralization (amount of centralized information hubs) were calculated with UCINET. Statistical significance of the associations between county characteristics and STD rates was assessed with exact Wilcoxon rank sum test. Syphilis rates were lower (P=. 01) in counties with a high network density, on the basis of exchanges of information or clients. The effect on black-white rate differences was in the same direction but weaker. Where network degree centralization was high, syphilis rates were higher and the black-white rate differences were larger. Gonorrhea rates demonstrated similar but attenuated patterns of association with network characteristics. STD prevention is more effective when all agencies interact with each other (density) but less effective when interactions are predominantly with a few central agencies (degree centralization). The measures of network exchanges employed in this study may be appropriate for future assessment of service provision of funded prevention programs.