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International Journal of Drug Policy
journal homepage: www.elsevier.com/locate/drugpo
Research Paper
Evaluation of the treatment failure ratio in individuals receiving methadone
maintenance therapy via the network scale up method
Zeynab Heydari
a
, Mohammad Reza Baneshi
b
, Hamid Sharifi
c
, Maryam Zamanian
d
,
Saiedeh Haji-Maghsoudi
e
, Farzaneh Zolala
f,
⁎
a
Neuroscience Research Center, Kerman University of Medical Sciences, Kerman, Iran
b
Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
c
HIV/STI Surveillance Research Center, and WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical
Sciences, Kerman, Iran
d
Department of Epidemiology, School of Health, Arak University of Medical Sciences, Arak, Iran
e
Department of Biostatistics & Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
f
Social Determinants of Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
ARTICLE INFO
Keywords:
Methadone
MMT
Network scale up
Treatment failure
ABSTRACT
Background: The network scale up (NSU) method is an indirect size estimation method that has received re-
markable attention in estimating the sensitive behaviors. Using methadone maintenance therapy (MMT), which
is a treatment for opioid use disorder, is a sensitive topic in many societies. The aim of this manuscript was to
estimate the number of MMT users and its failure ratio using the NSU method in the city of Kerman, Iran, in
2016.
Methods: In this cross-sectional study, 1275 men and 1275 women which were aged > 18 years and who had
lived in the city of Kerman for at least 5 years were recruited via multistage sampling. Data was collected via
face-to-face interviews using a questionnaire that was included questions for estimating the network size of the
residents of Kerman as well as the number of MMT users and the existing failure among them.
Results: In total, the average network size of the citizens of Kerman was 235; among them, 97 were men and 138
were women. Overall, the numbers of MMT users and failures were estimated at about 5289 and 2731, re-
spectively, leading to a failure ratio about 52%. The treatment failure ratio in the women and men was equal to
55% and 51%, respectively. Among the men, the failure ratio in all age groups was equal to ˜50%. Among the
women, the failure ratio in those who were aged < 18 years was equal to 76%.
Conclusion: The considerable failure ratio indicates the need for conducting studies on MMT services in order to
understand the reasons which exist regarding this failure. This is of particular importance in specific groups,
such as in young women. Further, the comparable results with other direct methods indicate that the NSU
method could be used in the size estimation of MMT failure ratios.
Introduction
The network scale up (NSU) method, which is an indirect method of
size estimation, has received a growing attention in estimating the
sensitive and hidden behaviors such as usage of drugs (Bernard et al.,
2010), Prostitution (Salganik et al., 2011) and abortions (Rastegari
et al., 2014). These behaviors are hidden due to religious, cultural, or
law restrictions against them (Ezoe, Morooka, Noda, Sabin, & Koike,
2012). Drug usage in many societies is highly stigmatized; therefore,
any action indicating usage of drugs, including services for drug
treatment, is concealed (Semple, Amaro, Strathdee, Zians, & Patterson,
2009).
Among different methods of drug treatment, methadone main-
tenance therapy (MMT) has been widely used in many countries for the
treatment of drug use and harm reduction (WHO, 2017). In order to
evaluate an MMT program, correct data is needed.
However, many individuals who use drugs are reluctant to disclose
their addiction or usage of services related to the treatment of drug
addiction (Castle, 2004). Therefore, data which are gained from formal
registration systems and direct methods of data collection are more
https://doi.org/10.1016/j.drugpo.2019.07.022
⁎
Corresponding author.
E-mail addresses: heidariz66@yahoo.com (Z. Heydari), rbaneshi2@gmail.com (M.R. Baneshi), saharifihami@gmail.com (H. Sharifi),
maryam_zamanian23@yahoo.com (M. Zamanian), sa.maghsoudi@gmail.com (S. Haji-Maghsoudi), F.zolala@kmu.ac.ir (F. Zolala).
International Journal of Drug Policy 73 (2019) 36–41
0955-3959/ © 2019 Elsevier B.V. All rights reserved.
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