Evidence map›Paper›PMID 24100635›Full record

Trial reportThe American journal of tropical medicine and hygiene2013

Follow-up study to assess the use and performance of household filters in Zambia.

Rachel Peletz, Michelo Simuyandi, Martin Simunyama, Kelvin Sarenje, Paul Kelly, Thomas Clasen

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of tropical medicine and hygiene, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Interventions to improve water quality for preventing diarrhoea.The Cochrane database of systematic reviews · 2015
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rachel PeletzLondon School of Hygiene and Tropical Medicine, London, United Kingdom; Tropical Gastroenterology and Nutrition Group, University Teaching Hospital, Lusaka, Zambia; Barts and The London School of Medicine, Queen Mary, University of London, London, United Kingdom.
Michelo Simuyandi
Martin Simunyama
Kelvin Sarenje
Paul Kelly
Thomas Clasen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective household water treatment can improve drinking water quality and prevent disease if used correctly and consistently over time. One year after completion of a randomized controlled study of water filters among households in Zambia with children < 2 years old and mothers who were human immunodeficiency virus (HIV)-positive, we conducted a follow-up study to assess use and performance of new filters distributed at the conclusion of the study; 90% of participating households met the criteria for current users, and 75% of participating households had stored water with lower levels of fecal contamination than source water. Microbiologically, the filters continued to perform well, removing an average of 99.0% of fecal indicator bacteria. Although this study provides some encouraging evidence about the potential to maintain high uptake and filter performance, even in the absence of regular household visits, additional research is necessary to assess whether these results can be achieved over longer periods and with larger populations.

Indexed as

Water MicrobiologyChild, PreschoolDiarrheaFamily CharacteristicsFemaleFiltrationFollow-Up StudiesHIV InfectionsHumansMothersWater PurificationWater QualityZambia

Identifiers

PMID24100635
PMCPMC3854898

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.