ArticleTobacco induced diseases2019
Monitoring secondhand tobacco smoke remotely in real-time: A simple low-cost approach.
Article in Tobacco induced diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Negotiating health: A qualitative analysis of home smoking rules among families with medically vulnerable infants.Tobacco induced diseases · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSecondhand smoke (SHS) in the home is a serious cause of ill-health, especially for children. SHS indoors can be indirectly measured using particulate matter monitors, and interventions have been developed using feedback from these monitors to encourage smoke-free homes. These interventions often use data that are several days out of date, as the data must be downloaded manually from monitors. It would be advantageous to access this information remotely in real-time to provide faster feedback to intervention participants.
methodsUsing off-the-shelf computer components and the Dylos DC1700 air quality monitor, a portable internet-connected monitor was developed that can send data to a server remotely. Four of these monitors were tested in homes in Israel to test the reliability of the connection. Data were downloaded from the monitor's onboard memory and compared to the data sent to the server.
resultsEight homes were monitored for 4 to 6 days, with a combined total count of 44 days. Less than 1% of data was lost, with no outage lasting longer than 1 hour 45 minutes. There was no significant difference in the mean concentrations measured in homes between mobile-transmitted data and data downloaded directly.
conclusionsThis system appears to be a reliable way to monitor remotely home air quality for use in intervention studies, and could potentially have applications in other related research. Laboratories that own Dylos DC1700s may wish to consider converting them to such a system to obtain a cost-effective way of overcoming limitations in the Dylos design.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.