PMID- 20139435
OWN - NLM
STAT- MEDLINE
DCOM- 20100513
LR  - 20231105
IS  - 1464-3685 (Electronic)
IS  - 0300-5771 (Print)
IS  - 0300-5771 (Linking)
VI  - 39
IP  - 1
DP  - 2010 Feb
TI  - An assessment of Lot Quality Assurance Sampling to evaluate malaria outcome 
      indicators: extending malaria indicator surveys.
PG  - 72-9
LID - 10.1093/ije/dyp363 [doi]
AB  - BACKGROUND: Large investments and increased global prioritization of malaria 
      prevention and treatment have resulted in greater emphasis on programme 
      monitoring and evaluation (M&E) in many countries. Many countries currently use 
      large multistage cluster sample surveys to monitor malaria outcome indicators on 
      a regional and national level. However, these surveys often mask local-level 
      variability important to programme management. Lot Quality Assurance Sampling 
      (LQAS) has played a valuable role for local-level programme M&E. If incorporated 
      into these larger surveys, it would provide a comprehensive M&E plan at little, 
      if any, extra cost. METHODS: The Mozambique Ministry of Health conducted a 
      Malaria Indicator Survey (MIS) in June and July 2007. We applied LQAS 
      classification rules to the 345 sampled enumeration areas to demonstrate 
      identifying high- and low-performing areas with respect to two malaria program 
      indicators-'household possession of any bednet' and 'household possession of any 
      insecticide-treated bednet (ITN)'. RESULTS: As shown by the MIS, no province in 
      Mozambique achieved the 70% coverage target for household possession of bednets 
      or ITNs. By applying LQAS classification rules to the data, we identify 266 of 
      the 345 enumeration areas as having bednet coverage severely below the 70% 
      target. An additional 73 were identified with low ITN coverage. CONCLUSIONS: This 
      article demonstrates the feasibility of integrating LQAS into multistage cluster 
      sampling surveys and using these results to support a comprehensive national, 
      regional and local programme M&E system. Furthermore, in the recommendations we 
      outlined how to integrate the Large Country-LQAS design into macro-surveys while 
      still obtaining results available through current sampling practices.
FAU - Biedron, Caitlin
AU  - Biedron C
AD  - Department of Global Health and Population, Harvard School of Public Health, 
      Boston, MA, USA.
FAU - Pagano, Marcello
AU  - Pagano M
FAU - Hedt, Bethany L
AU  - Hedt BL
FAU - Kilian, Albert
AU  - Kilian A
FAU - Ratcliffe, Amy
AU  - Ratcliffe A
FAU - Mabunda, Samuel
AU  - Mabunda S
FAU - Valadez, Joseph J
AU  - Valadez JJ
LA  - eng
GR  - R01 EB006195/EB/NIBIB NIH HHS/United States
GR  - T32 AI007358/AI/NIAID NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
PL  - England
TA  - Int J Epidemiol
JT  - International journal of epidemiology
JID - 7802871
SB  - IM
MH  - *Health Surveys
MH  - Humans
MH  - Insecticide-Treated Bednets
MH  - *Lot Quality Assurance Sampling
MH  - Malaria/*epidemiology/prevention & control
MH  - Mosquito Nets/*statistics & numerical data
MH  - Mozambique/epidemiology
MH  - Outcome Assessment, Health Care/*methods
MH  - Population Surveillance/methods
PMC - PMC2912491
EDAT- 2010/02/09 06:00
MHDA- 2010/05/14 06:00
PMCR- 2011/02/01
CRDT- 2010/02/09 06:00
PHST- 2010/02/09 06:00 [entrez]
PHST- 2010/02/09 06:00 [pubmed]
PHST- 2010/05/14 06:00 [medline]
PHST- 2011/02/01 00:00 [pmc-release]
AID - dyp363 [pii]
AID - 10.1093/ije/dyp363 [doi]
PST - ppublish
SO  - Int J Epidemiol. 2010 Feb;39(1):72-9. doi: 10.1093/ije/dyp363.