The current study aimed at evaluating the feasibility of using the crosswise model application to a general population. The estimated prevalence of STI-associated symptoms using the crosswise model in the general Kerman population was high and appeared inconsistent with the mentioned population-based survey results (
15) and the estimation was not approved by STI experts in Iran (
14). The observed overestimation seems to be caused by some reasons discussed hereunder.
The estimations of crosswise are higher compared to direct or even indirect estimation methods (
18). Crosswise was determined as the more valid method based on the more is better assumption, since it was less likely to be affected by the self-protective no and social desirability biases (
1,
10,
19). However, the higher estimated prevalence may be the artificial features’ results of this method and not an outcome of its higher validation. Confirmatory studies are needed to evaluate different techniques of estimating sensitive information; the validation study should determine the real responses and explore the crosswise results at both aggregate and individual levels (
1). The possibility of validation on the crosswise model is reported low in many studies. There is no gold standard to do this evaluation. Validation needs to be outlined for each topic separately.
In a study on lifelong anabolic steroid use in Iran, the estimated prevalence by the crosswise was higher than that of self-reported one. The most important limitation of this study was lack of a gold standard for precise statistical comparison of the two methods (
12). In an investigation of illicit drug use among students, crosswise estimated a higher prevalence than direct questioning. Lack of biological confirmation of self-reported behavior was mentioned as a limitation of that study (
10). Another study on high-risk behaviors among students showed higher estimates by crosswise in comparison with the network scale-up (NSU) method. These two approaches are different in many aspects such as nature of questions, how to ask questions and respond to them, and data analysis; they may be incomparable (
11). Another limitation was a lack of laboratory tests to confirm self-reported STI-associated symptoms. To assess the validity of the crosswise method the application of the aforementioned tests in future studies are suggested.
Another item of interest in the crosswise is the expected distribution of the non-sensitive question on which the final estimates depend on. One of the most important and difficult parts of the crosswise method is to select a non-sensitive question with an appropriate probability distribution among the study population (
11). Authors believed that the incorrect selection of non-sensitive questions produced an error in the obtained estimations. Some of the non-sensitive questions were assessed in other studies (
10). In the current study, the 10% sensitivity analysis was performed for non-sensitive questions probability. It did not widely change the results (data not shown). The current study evaluated the independency between sensitive and non-sensitive questions. Further studies are required to assess the indirect correlation between sensitive and non-sensitive questions.
One of the disadvantages of crosswise, particularly compared to RRT, is the low statistical efficiency (
1). Although statistical efficiency improves by increasing the sample size, recruiting a large number of participants in the context of sensitive questions appears to be difficult. Bayesian methods are more convenient for the analysis of binary sensitive questions in NRR methods, mainly when the researcher has information about the considered parameters prior to the data collection (
4,
20). Another limitation of the current study was the absence of Bayesian approach in data analysis.
The crosswise model efficiency mostly depends on how to implement the study (
1). The study setting (
2), along with themethod of completing the questionnaire seem to be important influential factors. The results of various investigations show that crosswise could be convenient for face-to-face interviews and self-administered questionnaires (
9,
11,
21). Inquiry affects the respondent’s answer in two ways: providing a valid answer to the question depends on understanding the question first, and face-to-face interviews may not provide sufficient time for it. This method is believed to affect the respondent’s comfort to provide honest answers to the sensitive questions (
22). Since low-literate and illiterate individuals are a part of the current study population, the face-to-face interview seemed to be more applicable for the current study. Experts believed that informing and assuring participants about the confidentiality of their responses increased their cooperation as wells as honest responding (
23). Two studies evaluated high-risk behaviors among college students and 18 - 24-year-old participants in Iran. The self-administered questionnaires were applied and the participants were not worried about their responses. In another study on illicit drug use among students, the respondents were interviewed while concerned about disclosing their behaviors (
5,
10-
12). Nevertheless, authors think that participants had still some concerns answering questions, particularly when choosing the concordance option (both yes or both no).
Although authors believe that indirect questioning in crosswise model decreased the social desirability bias, the location selected for data collection had a great impact on the rates of real estimates. Given that the participants were interviewed in public the confidential questions made them feel embarrassed and unwilling to respond. The results of a study in Kerman showed that the best place for directly asking personal questions is the street where people feel comfortable and not worried about being recognized or pursued (
17). Another study in Iran revealed that disclosure of risky behaviors on the street was higher than that of at door to door interaction or on the phone interview (
24). The population-based survey on STI-associated symptoms in Kerman enjoyed the similar settings of the current study (
15). Due to the crosswise model features and the bustle of the street in the current study, people might have misunderstood the questions or the responding technique. The street may be unsuitable to implement the crosswise method. Respondents may be confused and randomly answer the questions pushing the prevalence to 50% (
1). Trust and understanding how to answer the questions in the crosswise model are the key prerequisites to increase the possibility of honest responding (
1). Further investigations on the impact of the interview location on people’s comfort, perception, and the way of responding are proposed.
The crosswise method is mainly applied among relatively educated groups, and not in the general population, particularly in the developing countries. The crosswise studies in Iran (
5,
10-
12) are so far conducted among well-educated people and their results were consistent with other similar studies. It seems that understanding this method for ordinary people from the general population, with different educational/socioeconomic levels and various understanding abilities, is more or less difficult. Subgroup analysis in the current study also showed that misunderstanding of the questions and awareness paucity about how to answer them especially among illiterate people was the main reason of unreal estimates. In fact, one of the most important limitations of the current study was using the same method for the literate and illiterate individuals. More studies on how to improve the perception of questions and the responding rate in the crosswise method as well as how to detect and control the influencing factors among various socioeconomic classes and educational levels of general population are suggested.
4.1. Conclusions
The crosswise method resulted in an overestimation of STI-associated symptoms prevalence. Hence, experts in the field of STIs opposed the crosswise method. However, authors believe that other reasons, such as participants’ different levels of understanding and responding to questions, could have intensified the overestimation. Further studies are required to evaluate the influence of the study setting and questionnaire’s administration method on the reliability of the participants’ self-reports.