Evidence map›Paper›PMID 30254745›Full record

Trial reportJournal of global health2018

Assessing the reactivity to mobile phones and repeated surveys on reported care-seeking for common childhood illnesses in rural India.

Harish Nair, Linda J Williams, Andrew Marsh, Pallavi Lele, Tathagata Bhattacharjee, Uddhavi Chavan, Siddhivinayak Hirve, Harry Campbell, Sanjay Juvekar

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
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  3. Article
  4. 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

9 authors.

Harish NairUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Linda J WilliamsUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Andrew MarshInstitute for International Programs, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Pallavi LeleKEM Hospital Research Centre, Pune, India.
Tathagata BhattacharjeeKEM Hospital Research Centre, Pune, India.
Uddhavi ChavanKEM Hospital Research Centre, Pune, India.
Siddhivinayak HirveKEM Hospital Research Centre, Pune, India.
Harry CampbellUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Sanjay JuvekarKEM Hospital Research Centre, Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditionally, health care-seeking for child illness is assessed through population-based and nationally representative demographic and health surveys (DHS) that are conducted once every five to seven years and are based on maternal recall. These maternal reports are subject to recall bias. Mobile phones (with the use of GPS technology) have the potential to constantly track movements of phone owners and provide high quality and more accurate data at a population level in low and middle income countries (LMICs) to assess the validity of maternal recall. We provided a group of mothers with smartphones installed with a location-aware application and visited them monthly to administer a survey questionnaire on care-seeking for diarrhoea, fever and cough with fever. This paper assesses for any reactivity to smartphones or repeated study contacts for measuring care-seeking and if this resulted in change in health care provider preference.

methodsWe enrolled 749 mothers from rural areas of Pune district in Maharashtra, India and randomly allocated them to one of three groups - a longitudinal phone group, a longitudinal control group and a cross-sectional control group. We collected baseline information from mothers, including individual and household demographic and socio-economic characteristics and care-seeking preferences for child illness. We followed up both longitudinal groups monthly and each cross-sectional sub-group once over a period of 6 months. At each follow up, we administered questions identical to those in the National Family Health Survey (NFHS) questionnaire to determine an episode of diarrhoea, fever or cough within the last 15 days, care seeking for the same, and the type of provider. The data were analysed using the χ

resultsAll three groups were similar in their socio-demographic characteristics at baseline. We did not observe any significant difference in care seeking for diarrhoea, fever or cough with fever between groups. Also, we did not observe any significant difference in proportion of children seeking care from the private sector.

conclusionsWe did not observe any reactivity in this study due to the presence of the phone (Hawthorne effect) or repeated study visits. The study also shows the potential of using GPS enabled smartphones to enrich DHS surveys in LMICs like India. However, further studies need to be conducted in other population groups before the findings can be generalised.

Indexed as

Cell PhoneHealth Care SurveysAdolescentAdultChild, PreschoolCoughDiarrheaFemaleFeverHumansIndiaInfantMental RecallMiddle AgedMothersPatient Acceptance of Health Care

Identifiers

PMID30254745
PMCPMC6150610

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Registered trials

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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.