Anoke Sarah C, Mwai Paul, Jeffery Caroline, Valadez Joseph J, Pagano Marcello
Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Department of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK.
Trop Med Int Health. 2015 Dec;20(12):1756-70. doi: 10.1111/tmi.12605. Epub 2015 Oct 27.
Two common methods used to measure indicators for health programme monitoring and evaluation are the demographic and health surveys (DHS) and lot quality assurance sampling (LQAS); each one has different strengths. We report on both methods when utilised in comparable situations.
We compared 24 indicators in south-west Uganda, where data for prevalence estimations were collected independently for the two methods in 2011 (LQAS: n = 8876; DHS: n = 1200). Data were stratified (e.g. gender and age) resulting in 37 comparisons. We used a two-sample two-sided Z-test of proportions to compare both methods.
The average difference between LQAS and DHS for 37 estimates was 0.062 (SD = 0.093; median = 0.039). The average difference among the 21 failures to reject equality of proportions was 0.010 (SD = 0.041; median = 0.009); among the 16 rejections, it was 0.130 (SD = 0.010, median = 0.118). Seven of the 16 rejections exhibited absolute differences of <0.10, which are clinically (or managerially) not significant; 5 had differences >0.10 and <0.20 (mean = 0.137, SD = 0.031) and four differences were >0.20 (mean = 0.261, SD = 0.083).
There is 75.7% agreement across the two surveys. Both methods yield regional results, but only LQAS provides information at less granular levels (e.g. the district level) where managerial action is taken. The cost advantage and localisation make LQAS feasible to conduct more frequently, and provides the possibility for real-time health outcomes monitoring.
用于健康项目监测与评估指标测量的两种常用方法是人口与健康调查(DHS)和批量质量保证抽样(LQAS);每种方法都有不同的优势。我们报告这两种方法在可比情况下的使用情况。
我们在乌干达西南部比较了24项指标,2011年针对这两种方法独立收集了患病率估计数据(LQAS:n = 8876;DHS:n = 1200)。数据按分层(如性别和年龄),从而进行了37次比较。我们使用两样本双侧Z检验比例来比较这两种方法。
37项估计中,LQAS和DHS之间的平均差异为0.062(标准差 = 0.093;中位数 = 0.039)。在21次未能拒绝比例相等的情况中,平均差异为0.010(标准差 = 0.041;中位数 = 0.009);在16次拒绝情况中,平均差异为0.130(标准差 = 0.010,中位数 = 0.118)。16次拒绝情况中有7次的绝对差异<0.10, 从临床(或管理)角度来看不显著;5次差异>0.10且<0.20(均值 = 0.137,标准差 = 0.031),4次差异>0.20(均值 = 0.261, 标准差 = 0.083)
两项调查的一致性为75.7%。两种方法都能得出区域结果,但只有LQAS能在采取管理行动的较粗略层面(如地区层面)提供信息。成本优势和本地化使得更频繁地开展LQAS成为可能,并为实时健康结果监测提供了可能性。