PMID- 26425920 OWN - NLM STAT- MEDLINE DCOM- 20160502 LR - 20191210 IS - 1365-3156 (Electronic) IS - 1360-2276 (Linking) VI - 20 IP - 12 DP - 2015 Dec TI - Comparing two survey methods of measuring health-related indicators: Lot Quality Assurance Sampling and Demographic Health Surveys. PG - 1756-70 LID - 10.1111/tmi.12605 [doi] AB - OBJECTIVES: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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. CI - (c) 2015 The Authors. Tropical Medicine & International Health Published by John Wiley & Sons Ltd. FAU - Anoke, Sarah C AU - Anoke SC AD - Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA. FAU - Mwai, Paul AU - Mwai P AD - Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA. FAU - Jeffery, Caroline AU - Jeffery C AD - Department of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK. FAU - Valadez, Joseph J AU - Valadez JJ AD - Department of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK. FAU - Pagano, Marcello AU - Pagano M AD - Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA. LA - eng GR - 5T32AI007358-24/AI/NIAID NIH HHS/United States GR - 5T32AI007358-25/AI/NIAID NIH HHS/United States PT - Comparative Study PT - Evaluation Study PT - Journal Article PT - Research Support, N.I.H., Extramural PT - Research Support, U.S. Gov't, Non-P.H.S. DEP - 20151027 PL - England TA - Trop Med Int Health JT - Tropical medicine & international health : TM & IH JID - 9610576 SB - IM MH - Adolescent MH - Adult MH - Child MH - Child, Preschool MH - Costs and Cost Analysis MH - Delivery of Health Care/*standards MH - Female MH - Health Surveys/*methods/standards MH - Humans MH - Infant MH - Infant, Newborn MH - Lot Quality Assurance Sampling/*methods MH - Male MH - Middle Aged MH - Prevalence MH - Program Evaluation/*methods MH - Quality Assurance, Health Care/*methods MH - Residence Characteristics MH - Rural Population MH - Surveys and Questionnaires MH - Uganda MH - Urban Population MH - Young Adult OTO - NOTNLM OT - Uganda OT - cluster sampling OT - demographic and health survey OT - lot quality assurance sampling OT - monitoring and evaluation OT - stratified sampling EDAT- 2015/10/02 06:00 MHDA- 2016/05/03 06:00 CRDT- 2015/10/02 06:00 PHST- 2015/10/02 06:00 [entrez] PHST- 2015/10/02 06:00 [pubmed] PHST- 2016/05/03 06:00 [medline] AID - 10.1111/tmi.12605 [doi] PST - ppublish SO - Trop Med Int Health. 2015 Dec;20(12):1756-70. doi: 10.1111/tmi.12605. Epub 2015 Oct 27.