ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.
VU University Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands.
Malar J. 2020 Jul 13;19(1):248. doi: 10.1186/s12936-020-03322-5.
Recording behaviours that have the potential to impact health can be doubly challenging if the behaviour takes place in private spaces that cannot be observed directly, and where respondents answer what they think the recorder may want to hear. Sleeping under a long-lasting insecticidal net (LLIN) is an important intervention for malaria prevention, yet it is difficult to gauge the extent to which coverage (how many nets are in the community) differs from usage (how many people actually sleep under a net). List randomization, a novel method which partially obscures respondents' answers to sensitive questions, was employed to estimate LLIN usage in The Gambia.
802 heads-of-household from 15 villages were recruited into a randomized controlled trial assessing the effect of a housing intervention on malaria. These houses were randomly assigned to a housing intervention versus control, with stratification by village so as to ensure balance between arms. From these, 125 households (63 intervention, 52 control) were randomly selected for participation in the list randomization experiment, along with 68 households from the same villages but which were not part of the housing improvement study, resulting in a total of 196 households for the list randomization experiment. Approximately half (n = 97) of the 196 study participants were randomly assigned to the control group and received a four-question list about non-sensitive behaviours; the intervention group (n = 99) received the same list, with the addition of one question on a sensitive behaviour: whether or not they had used a bed net the previous night. Participants were read the list of questions and then said how many of the statements were true. Bed net usage was estimated by calculating the difference in means between the number of affirmative responses between the two groups.
The mean number of affirmative responses in the control group was 2.60 of four statements (95% confidence interval, 95% CI 2.50-2.70), compared with 3.68 (95% CI 3.59-3.78) in the intervention group. Such difference (1.08; 95% CI 94.9-100%) suggests near universal bed net usage.
Bed net usage by household heads in these rural villages was found to be high. Though not entirely unexpected given other studies' estimates of high bed net usage in the area, the list randomization method should be further validated in an area with lower coverage.
如果行为发生在无法直接观察到的私人空间,并且受访者回答的是他们认为记录者可能想听的内容,那么记录可能对健康产生影响的行为就会变得加倍具有挑战性。使用长效驱虫蚊帐(LLIN)是预防疟疾的一项重要干预措施,但很难评估覆盖范围(社区中有多少顶蚊帐)与使用率(实际有多少人睡在蚊帐下)之间的差异。列表随机化是一种新方法,它部分掩盖了对敏感问题的回答,用于估计冈比亚的 LLIN 使用情况。
从 15 个村庄招募了 802 名户主参加一项评估住房干预对疟疾影响的随机对照试验。这些房屋被随机分配到住房干预组或对照组,按村庄分层,以确保两组之间的平衡。在这些房屋中,随机选择了 125 户(63 户干预组,52 户对照组)参加列表随机化实验,以及来自同一村庄但不属于住房改善研究的 68 户,共计 196 户参加列表随机化实验。在 196 户研究参与者中,约有一半(n=97)被随机分配到对照组,并接受了一份关于非敏感行为的四项问题清单;干预组(n=99)接受了相同的清单,增加了一个关于敏感行为的问题:他们前一天晚上是否使用了蚊帐。参与者阅读了问题清单,然后说出有多少陈述是真实的。通过计算两组之间肯定回答数的差异来估计蚊帐的使用情况。
对照组中肯定回答的平均数量为 4 个陈述中的 2.60(95%置信区间,95%CI 2.50-2.70),而干预组中为 3.68(95%CI 3.59-3.78)。这种差异(1.08;95%CI 94.9-100%)表明几乎普遍使用了蚊帐。
在这些农村村庄,户主使用蚊帐的情况被发现很高。尽管考虑到该地区其他研究估计的高蚊帐使用率,这并不完全出人意料,但列表随机化方法应在覆盖率较低的地区进一步验证。