Crosswise Model to Assess Sensitive Issues: A Study on Prevalence of Drug Abuse Among University Students of Iran

Khosravi, Ahmad; Mousavi, Seyed Abbas; Chaman, Reza; Khosravi, Faride; Amiri, Masoud; Shamsipour, Mansour

doi:10.5812/ijhrba.24388v2

Cited by 9 publications

(21 citation statements)

References 13 publications

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“…Moreover, the direct and indirect prevalence estimates of any illicit drug use in the previous studies in Iran range between 19% and 30.1%. [48][49][50][51] Although those studies differ from IranMHS in terms of the study population and duration of outcome, they support the estimate of 27% better than 3% for prevalence of illicit drug use in Iranian general population.…”

Section: Discussionmentioning

confidence: 86%

An ad hoc method for dual adjusting for measurement errors and nonresponse bias for estimating prevalence in survey data: Application to Iranian mental health survey on any illicit drug use

Khalagi

Mansournia

Motevalian

et al. 2017

Stat Methods Med Res

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Purpose The prevalence estimates of binary variables in sample surveys are often subject to two systematic errors: measurement error and nonresponse bias. A multiple-bias analysis is essential to adjust for both biases. Methods In this paper, we linked the latent class log-linear and proxy pattern-mixture models to adjust jointly for measurement errors and nonresponse bias with missing not at random mechanism. These methods were employed to estimate the prevalence of any illicit drug use based on Iranian Mental Health Survey data. Results After jointly adjusting for measurement errors and nonresponse bias in this data, the prevalence (95% confidence interval) estimate of any illicit drug use changed from 3.41 (3.00, 3.81)% to 27.03 (9.02, 38.76)%, 27.42 (9.04, 38.91)%, and 27.18 (9.03, 38.82)% under "missing at random," "missing not at random," and an intermediate mode, respectively. Conclusions Under certain assumptions, a combination of the latent class log-linear and binary-outcome proxy pattern-mixture models can be used to jointly adjust for both measurement errors and nonresponse bias in the prevalence estimation of binary variables in surveys.

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Section: Discussionmentioning

confidence: 86%

An ad hoc method for dual adjusting for measurement errors and nonresponse bias for estimating prevalence in survey data: Application to Iranian mental health survey on any illicit drug use

Khalagi

Mansournia

Motevalian

et al. 2017

Stat Methods Med Res

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“…Then, in addition to DQ, we evaluated the programme implementation by the CMan indirect method for asking sensitive questions. It was used successfully in research surveys about highly personal or sensitive questions such as addiction (16) , sexual behaviour (25) , cheating and plagiarism (20) . A more-is-better hypothesis has been assumed in these studies, and results indicated that the CM method provides a higher prevalence for sensitive behaviour (15) .…”

Section: Discussionmentioning

confidence: 99%

“…It is one of the newest indirect questioning methods (15) . It has been used successfully to estimate the prevalence of sensitive issues such as illicit drug use (16,17) , sexual behaviour (18) , use of anabolic steroids by bodybuilders (19) and researchers' misconduct (20) . However, to the best of our knowledge, this method has not been previously used in assessing the implementation of health programmes.…”

mentioning

confidence: 99%

Implementation evaluation of an iron supplementation programme in high-school students: the crosswise model

Banayejeddi

Masudi

Saeidlou

et al. 2019

Public Health Nutr.

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Objective:To evaluate the implementation of the national health promotion programme (through nutritional education and Fe supplementation) among female high-school students in Iran and to assess the application of the crosswise model (CM) for evaluating the programme’s implementation.Design:Two cross-sectional surveys in female high-school students, one using the direct questioning (DQ) method and the other using the CM, were conducted. Two survey questionnaires used to collect the data contained questions about three aspects of the programme: delivering the Fe supplements, consuming them and holding nutritional training sessions.Setting:Female high schools, West Azerbaijan Province, Iran.Participants:A sample of 2180 students, of whom 1740 were surveyed by the CM and 440 were interviewed by DQ.Results:The CM resulted in estimates that were consistently lower than the estimates of the DQ. The proportion of students in the DQ and CM who reported receiving the pills weekly and on a regular basis was 73·2 and 22·5 %, respectively. About 43 and 31 % of students in the DQ and CM surveys reported consuming all pills delivered to them. In the DQ method, only 12 % of students who reported the number of pills consumed had taken the complete dose (sixteen pills).Conclusions:Implementation of the Fe supplementation programme in female high schools was poor and insufficient, so that it seems unsuccessful in reducing Fe-deficiency anaemia in adolescent girls. The CM might be considered for evaluating the health programme’s implementation at high schools.

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“…[23] implemented CD to estimate the prevalence of illicit drug use among the students of Tehran University of Medical Sciences. [24] used this design to investigate illicit drug use prevalence among students studying at Universities in Shahroud (Northeast of Iran).…”

Section: Crosswise Designmentioning

confidence: 99%

A Survey on Illicit Drug Use among University Students by Binary Randomized Response Technique: Crosswise Design

Özgül

2020

Sakarya University Journal of Science

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This paper aims to introduce Randomized Response Techniques (RRT's) and show that how RRT's are implemented in surveys in which sensitive behaviors are investigated. For this purpose, the most popular designs of the Binary RRT are summarized and an experimental study is conducted on drug use among dormitory students at a public university in Ankara, Turkey. Despite the wide applicability of the drug use studies in Turkey, surprisingly any applications using indirect questioning techniques are not observed in the literature. In this study, for the first time, drug use behavior is investigated with Crosswise design which is the most frequently used indirect questioning technique and indirect questioning method (Crosswise design) is compared with direct questioning method to evaluate the effectiveness of the RRT. Results revealed that when Crosswise design is provided on asking sensitive questions, considerably minor response refusals are happened and significantly higher drug-use estimates are observed.

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Crosswise Model to Assess Sensitive Issues: A Study on Prevalence of Drug Abuse Among University Students of Iran

Cited by 9 publications

References 13 publications

An ad hoc method for dual adjusting for measurement errors and nonresponse bias for estimating prevalence in survey data: Application to Iranian mental health survey on any illicit drug use

An ad hoc method for dual adjusting for measurement errors and nonresponse bias for estimating prevalence in survey data: Application to Iranian mental health survey on any illicit drug use

Implementation evaluation of an iron supplementation programme in high-school students: the crosswise model

A Survey on Illicit Drug Use among University Students by Binary Randomized Response Technique: Crosswise Design

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