Show simple item record

dc.contributor.authorMeyers, David J.en_US
dc.contributor.authorOzonoff, Alen_US
dc.contributor.authorBaruwal, Ashmaen_US
dc.contributor.authorPande, Samien_US
dc.contributor.authorHarsha, Alexen_US
dc.contributor.authorSharma, Ranjuen_US
dc.contributor.authorSchwarz, Danen_US
dc.contributor.authorSchwarz, Ryan K.en_US
dc.contributor.authorBista, Deepaken_US
dc.contributor.authorHalliday, Scotten_US
dc.contributor.authorMaru, Duncan S. R.en_US
dc.date.accessioned2016-06-14T18:53:50Z
dc.date.issued2016en_US
dc.identifier.citationMeyers, D. J., A. Ozonoff, A. Baruwal, S. Pande, A. Harsha, R. Sharma, D. Schwarz, et al. 2016. “Combining Healthcare-Based and Participatory Approaches to Surveillance: Trends in Diarrheal and Respiratory Conditions Collected by a Mobile Phone System by Community Health Workers in Rural Nepal.” PLoS ONE 11 (4): e0152738. doi:10.1371/journal.pone.0152738. http://dx.doi.org/10.1371/journal.pone.0152738.en
dc.identifier.issn1932-6203en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:27320453
dc.description.abstractBackground: Surveillance systems are increasingly relying upon community-based or crowd-sourced data to complement traditional facilities-based data sources. Data collected by community health workers during the routine course of care could combine the early warning power of community-based data collection with the predictability and diagnostic regularity of facility data. These data could inform public health responses to epidemics and spatially-clustered endemic diseases. Here, we analyze data collected on a daily basis by community health workers during the routine course of clinical care in rural Nepal. We evaluate if such community-based surveillance systems can capture temporal trends in diarrheal diseases and acute respiratory infections. Methods: During the course of their clinical activities from January to December 2013, community health workers recorded healthcare encounters using mobile phones. In parallel, we accessed condition-specific admissions from 2011–2013 in the hospital from which the community health program was based. We compared diarrhea and acute respiratory infection rates from both the hospital and the community, and assigned three categories of local disease activity (low, medium, and high) to each week in each village cluster with categories determined by tertiles. We compared condition-specific mean hospital rates across categories using ANOVA to assess concordance between hospital and community-collected data. Results: There were 2,710 cases of diarrhea and 373 cases of acute respiratory infection reported by community health workers during the one-year study period. At the hospital, the average weekly incidence of diarrhea and acute respiratory infections over the three-year period was 1.8 and 3.9 cases respectively per 1,000 people in each village cluster. In the community, the average weekly rate of diarrhea and acute respiratory infections was 2.7 and 0.5 cases respectively per 1,000 people. Both diarrhea and acute respiratory infections exhibited significant differences between the three categories of disease rate burden (diarrhea p = 0.009, acute respiratory infection p = 0.001) when comparing community health worker-collected rates to hospital rates. Conclusion: Community-level data on diarrhea and acute respiratory infections modestly correlated with hospital data for the same condition in each village each week. Our experience suggests that community health worker-collected data on mobile phones may be a feasible adjunct to other community- and healthcare-related data sources for surveillance of such conditions. Such systems are vitally needed in resource-limited settings like rural Nepal.en
dc.language.isoen_USen
dc.publisherPublic Library of Scienceen
dc.relation.isversionofdoi:10.1371/journal.pone.0152738en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4844116/pdf/en
dash.licenseLAAen_US
dc.subjectMedicine and Health Sciencesen
dc.subjectGastroenterology and Hepatologyen
dc.subjectDiarrheaen
dc.subjectDiagnostic Medicineen
dc.subjectSigns and Symptomsen
dc.subjectPathology and Laboratory Medicineen
dc.subjectHealth Careen
dc.subjectHealth Care Facilitiesen
dc.subjectHospitalsen
dc.subjectPeople and Placesen
dc.subjectGeographical Locationsen
dc.subjectAsiaen
dc.subjectNepalen
dc.subjectEngineering and Technologyen
dc.subjectEquipmenten
dc.subjectCell Phonesen
dc.subjectPulmonologyen
dc.subjectRespiratory Infectionsen
dc.subjectEpidemiologyen
dc.subjectDisease Surveillanceen
dc.subjectComputer and Information Sciencesen
dc.subjectComputer Softwareen
dc.titleCombining Healthcare-Based and Participatory Approaches to Surveillance: Trends in Diarrheal and Respiratory Conditions Collected by a Mobile Phone System by Community Health Workers in Rural Nepalen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalPLoS ONEen
dash.depositing.authorMeyers, David J.en_US
dc.date.available2016-06-14T18:53:50Z
dc.identifier.doi10.1371/journal.pone.0152738*
dash.authorsorderedfalse
dash.contributor.affiliatedOzonoff, Alexander
dash.contributor.affiliatedSchwarz, Dan
dash.contributor.affiliatedSchwarz, Ryan
dash.contributor.affiliatedMaru, Duncan
dash.contributor.affiliatedMeyers, David J.


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record