Methodological considerations in using the Network Scale Up (NSU) for the estimation of risky behaviors of particular age-gender groups: An example in the case of intentional abortion

Zamanian, Maryam and Zolala, Farzaneh and Haghdoost, Ali Akbar and Haji-Maghsoudi, Saeide and Heydari, Zeynab and Baneshi, Mohammad Reza (2019) Methodological considerations in using the Network Scale Up (NSU) for the estimation of risky behaviors of particular age-gender groups: An example in the case of intentional abortion. PLOS ONE, 14 (6).

[img] Text
Methodological considerations in using the Network Scale Up (NSU) for the estimation of risky behaviors of particular age-gender groups.pdf

Download (407kB)

Abstract

Background Network Scale Up (NSU) is a promising tool for size estimation of sensitive issues. In this study we investigated the important methodological considerations to employ this method for estimating behaviors, such as abortion, which happens in a particular age-gender group. Methods We recruited 1250 males and 1250 females aged 18 to 50. Abortion rate was calculated through direct question and NSU methodology. The NSU was applied on three sub-samples (male, female and aggregate). Integrating replies to 25 reference groups, we estimated the network size (C) of respondents and its age-gender structure. To calculate the part of network that is subject to abortion, we compared two approaches: proportional and data based. The Visibility Factor (VF) was calculated through 222 females who had abortion. Direct estimate was considered as gold standard. Results Using C's derived from proportional method, the Relative Bias (RB) in the male and female samples was 33% and 84%. Applying the data-based C's, the RB in the gender-specific and aggregate samples was 5% and 2%. Conclusion The proportional method overestimates the prevalence. The data-based method to calculate the C is superior. The determination of the age-sex distribution of the network and the specific VF is essential.

Item Type: Article
Subjects: WP Gynecology
Depositing User: Unnamed user with email eprints@fums.ac.ir
Date Deposited: 04 Jan 2020 08:49
Last Modified: 04 Jan 2020 08:49
URI: http://eprints.fums.ac.ir/id/eprint/2594

Actions (login required)

View Item View Item