Literature DB >> 16903888

Operational feasibility of lot quality assurance sampling (LQAS) as a tool in routine process monitoring of filariasis control programmes.

P Vanamail1, S Subramanian, A Srividya, R Ravi, K Krishnamoorthy, P K Das.   

Abstract

Lot quality assurance sampling (LQAS) with two-stage sampling plan was applied for rapid monitoring of coverage after every round of mass drug administration (MDA). A Primary Health Centre (PHC) consisting of 29 villages in Thiruvannamalai district, Tamil Nadu was selected as the study area. Two threshold levels of coverage were used: threshold A (maximum: 60%; minimum: 40%) and threshold B (maximum: 80%; minimum: 60%). Based on these thresholds, one sampling plan each for A and B was derived with the necessary sample size and the number of allowable defectives (i.e. defectives mean those who have not received the drug). Using data generated through simple random sampling (SRSI) of 1,750 individuals in the study area, LQAS was validated with the above two sampling plans for its diagnostic and field applicability. Simultaneously, a household survey (SRSH) was conducted for validation and cost-effectiveness analysis. Based on SRSH survey, the estimated coverage was 93.5% (CI: 91.7-95.3%). LQAS with threshold A revealed that by sampling a maximum of 14 individuals and by allowing four defectives, the coverage was >or=60% in >90% of villages at the first stage. Similarly, with threshold B by sampling a maximum of nine individuals and by allowing four defectives, the coverage was >or=80% in >90% of villages at the first stage. These analyses suggest that the sampling plan (14,4,52,25) of threshold A may be adopted in MDA to assess if a minimum coverage of 60% has been achieved. However, to achieve the goal of elimination, the sampling plan (9, 4, 42, 29) of threshold B can identify villages in which the coverage is <80% so that remedial measures can be taken. Cost-effectiveness analysis showed that both options of LQAS are more cost-effective than SRSH to detect a village with a given level of coverage. The cost per village was US dollars 76.18 under SRSH. The cost of LQAS was US dollars 65.81 and 55.63 per village for thresholds A and B respectively. The total financial cost of classifying a village correctly with the given threshold level of LQAS could be reduced by 14% and 26% of the cost of conventional SRSH method.

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Year:  2006        PMID: 16903888     DOI: 10.1111/j.1365-3156.2006.01670.x

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  6 in total

Review 1.  Rapid mapping of schistosomiasis and other neglected tropical diseases in the context of integrated control programmes in Africa.

Authors:  S Brooker; N B Kabatereine; J O Gyapong; J R Stothard; J Utzinger
Journal:  Parasitology       Date:  2009-05-19       Impact factor: 3.234

2.  Incremental cost of conducting population-based prevalence surveys for a neglected tropical disease: the example of trachoma in 8 national programs.

Authors:  Chaoqun Chen; Elizabeth A Cromwell; Jonathan D King; Aryc Mosher; Emma M Harding-Esch; Jeremiah M Ngondi; Paul M Emerson
Journal:  PLoS Negl Trop Dis       Date:  2011-03-08

3.  Improved assessment of mass drug administration and health district management performance to eliminate lymphatic filariasis.

Authors:  Carmen Maroto-Camino; Pilar Hernandez-Pastor; Naomi Awaca; Lebon Safari; Janet Hemingway; Marilia Massangaie; Donald Whitson; Caroline Jeffery; Joseph J Valadez
Journal:  PLoS Negl Trop Dis       Date:  2019-07-05

4.  Lot quality assurance sampling to assess coverage and compliance following mass drug administration to eliminate lymphatic filariasis in Fiji: A methodological approach.

Authors:  Milika Rinamalo; Lorenzo Pezzoli; Mike Kama; Eric Rafai; Ilisapeci Kubuabola; Mosese Salusalu; Sung Hye Kim
Journal:  PLoS One       Date:  2020-09-18       Impact factor: 3.240

5.  Secondary mapping of lymphatic filariasis in Haiti-definition of transmission foci in low-prevalence settings.

Authors:  Naomi Drexler; Charles H Washington; Maribeth Lovegrove; Caroline Grady; Marie Denise Milord; Thomas Streit; Patrick Lammie
Journal:  PLoS Negl Trop Dis       Date:  2012-10-11

6.  Monitoring maternal, newborn, and child health interventions using lot quality assurance sampling in Sokoto State of northern Nigeria.

Authors:  Dele Abegunde; Nosa Orobaton; Kamil Shoretire; Mohammed Ibrahim; Zainab Mohammed; Jumare Abdulazeez; Ringpon Gwamzhi; Akeem Ganiyu
Journal:  Glob Health Action       Date:  2015-10-09       Impact factor: 2.640

  6 in total

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