PMID- 24528928
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20140224
LR  - 20211021
IS  - 1742-7622 (Print)
IS  - 1742-7622 (Electronic)
IS  - 1742-7622 (Linking)
VI  - 11
IP  - 1
DP  - 2014 Feb 15
TI  - New tools for evaluating LQAS survey designs.
PG  - 2
LID - 10.1186/1742-7622-11-2 [doi]
AB  - Lot Quality Assurance Sampling (LQAS) surveys have become increasingly popular in 
      global health care applications. Incorporating Bayesian ideas into LQAS survey 
      design, such as using reasonable prior beliefs about the distribution of an 
      indicator, can improve the selection of design parameters and decision rules. In 
      this paper, a joint frequentist and Bayesian framework is proposed for evaluating 
      LQAS classification accuracy and informing survey design parameters. Simple 
      software tools are provided for calculating the positive and negative predictive 
      value of a design with respect to an underlying coverage distribution and the 
      selected design parameters. These tools are illustrated using a data example from 
      two consecutive LQAS surveys measuring Oral Rehydration Solution (ORS) 
      preparation. Using the survey tools, the dependence of classification accuracy on 
      benchmark selection and the width of the 'grey region' are clarified in the 
      context of ORS preparation across seven supervision areas. Following the 
      completion of an LQAS survey, estimation of the distribution of coverage across 
      areas facilitates quantifying classification accuracy and can help guide 
      intervention decisions.
FAU - Hund, Lauren
AU  - Hund L
AD  - Department of Family and Community Medicine, University of New Mexico, 2400 
      Tucker Avenue Northeast, Albuquerque NM 87131, USA. lbhund@gmail.com.
LA  - eng
PT  - Journal Article
DEP - 20140215
PL  - England
TA  - Emerg Themes Epidemiol
JT  - Emerging themes in epidemiology
JID - 101232986
PMC - PMC3931287
EDAT- 2014/02/18 06:00
MHDA- 2014/02/18 06:01
PMCR- 2014/02/15
CRDT- 2014/02/18 06:00
PHST- 2013/06/01 00:00 [received]
PHST- 2014/01/21 00:00 [accepted]
PHST- 2014/02/18 06:00 [entrez]
PHST- 2014/02/18 06:00 [pubmed]
PHST- 2014/02/18 06:01 [medline]
PHST- 2014/02/15 00:00 [pmc-release]
AID - 1742-7622-11-2 [pii]
AID - 10.1186/1742-7622-11-2 [doi]
PST - epublish
SO  - Emerg Themes Epidemiol. 2014 Feb 15;11(1):2. doi: 10.1186/1742-7622-11-2.