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Research into methods and data sources for the estimation of prevalence of problematic opiate and cocaine use in Ireland.

机译:对用于估计爱尔兰有问题的阿片剂和可卡因使用率的方法和数据源的研究。

摘要

Following an evaluation of eight different methods of prevalence estimation the study team believe that the application of the following three approaches to Irish data will prove the most successful in estimating the prevalence of opiate use:ududFour sample Capture-recapture (CRC)udMultiplier methodsudMultiple Indicator method (MIM)ududFour sample CRC should be used to estimate prevalence of opiate use for all 26 counties. If this methodology fails to produce a county level estimate then either the MIM or multiplier methods should be used to calculate the estimate. These county estimates can then be summed to give regional estimates and an overall national estimate. It is recommended that the following four data sources should be constructed from the available data for inclusion in a four-sample capture recapture study:ududCentral Treatment ListudHIPEudGarda Síochána (PULSE)udProbation Service dataududWe would also advise using the same matching criteria as previous Scottish and English studies. This would mean matching over initials, data of birth and gender. It is critical to the success of a new study to establish a geographical unit of analysis and work should be done to find the most suitable one prior to the beginning of any new prevalence estimation work. This unit of analysis needs to be exacting enough to help with the methodological difficulty of heterogeneity in highly populated areas but also mesh with current administrative geography to give estimates that are of practical use to policy makers and stakeholders. Following a roundtable discussion with prospective data providers, county of residence was identified as the preferred lowest level for estimates to be produced at. These county estimates can then be combined to give estimates at larger geographical areas such as Garda Síochána or HSE regions. This would mean taking into account counties such as Dublin and Tipperary which straddle these larger administrative areas.ududIn order to estimate the prevalence of cocaine use in Ireland, the study team recommend using a different methodology which combines large household survey data with longitudinal study data. This approach would account for the heterogeneity in the cocaine using population and would produce more than one estimate of cocaine use reflecting the different cocaine using cohorts among the population.
机译:在评估了八种不同的流行率估计方法之后,研究小组认为,对爱尔兰数据的以下三种方法的应用将证明是最成功的阿片类药物使用率估计值: ud ud四个样本的捕获-捕获(CRC) udMultiplier方法 udMultiple指标方法(MIM) ud ud应使用四个样本CRC来估计所有26个县的阿片类药物使用率。如果该方法无法产生县级估计,则应使用MIM或乘数法来计算估计。然后可以将这些县的估算值相加,得出区域估算值和全国总体估算值。建议从可用数据中构建以下四个数据源,以将其包括在四样本捕获重新捕获研究中: ud ud中央治疗清单 udHIPE udGardaSíochána(PULSE) udProbation服务数据 ud ud还建议使用与以前的苏格兰和英语研究相同的匹配标准。这意味着匹配首字母,出生数据和性别。建立新的地理分析单位对于一项新研究的成功至关重要,应该在开始任何新的流行率估算工作之前,先找到最合适的分析单位。该分析单元必须足够精确,以帮助解决人口稠密地区异质性的方法学难题,而且还应与当前的行政地理环境相吻合,以提供对决策者和利益相关者具有实际意义的估计。在与潜在数据提供者进行圆桌讨论后,居住县被确定为要进行估算的首选最低水平。然后,可以将这些县的估算值合并起来,以提供较大的地理区域(如GardaSíochána或HSE地区)的估算值。这意味着要考虑到横跨这些较大行政区域的都柏林和蒂珀雷里等县。 ud ud为了估算爱尔兰可卡因的使用率,研究小组建议采用另一种方法,将大型家庭调查数据与纵向调查相结合研究数据。这种方法将说明可卡因使用人群中的异质性,并将产生不止一个可卡因使用估计值,以反映人群中不同可卡因使用人群。

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