Evidence map›Paper›PMID 24363919›Full record

ArticleJournal of global health2013

mHealth Series: mHealth project in Zhao County, rural China - Description of objectives, field site and methods.

Michelle Helena van Velthoven, Ye Li, Wei Wang, Xiaozhen Du, Qiong Wu, Li Chen, Azeem Majeed, Igor Rudan, Yanfeng Zhang, Josip Car

Abstract read
In one paragraph

Article in Journal of global health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Trial
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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

10 authors.

Michelle Helena van VelthovenGlobal eHealth Unit, Department of Primary Care and Public Health, Imperial College London, London, UK.
Ye LiDepartment of Integrated Early Childhood Development, Capital Institute of Paediatrics, Beijing, China.
Wei WangDepartment of Integrated Early Childhood Development, Capital Institute of Paediatrics, Beijing, China.
Xiaozhen DuDepartment of Integrated Early Childhood Development, Capital Institute of Paediatrics, Beijing, China.
Qiong WuDepartment of Integrated Early Childhood Development, Capital Institute of Paediatrics, Beijing, China.
Li ChenDepartment of Integrated Early Childhood Development, Capital Institute of Paediatrics, Beijing, China.
Azeem MajeedGlobal eHealth Unit, Department of Primary Care and Public Health, Imperial College London, London, UK.
Igor RudanCentre for Population Health Sciences and Global Health Academy, University of Edinburgh Medical School, Edinburgh, Scotland, UK.
Yanfeng ZhangDepartment of Integrated Early Childhood Development, Capital Institute of Paediatrics, Beijing, China.
Josip CarGlobal eHealth Unit, Department of Primary Care and Public Health, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe set up a collaboration between researchers in China and the UK that aimed to explore the use of mHealth in China. This is the first paper in a series of papers on a large mHealth project part of this collaboration. This paper included the aims and objectives of the mHealth project, our field site, and the detailed methods of two studies. FIELD SITE: The field site for this mHealth project was Zhao County, which lies 280 km south of Beijing in Hebei Province, China.

methodsWE DESCRIBED THE METHODOLOGY OF TWO STUDIES: (i) a mixed methods study exploring factors influencing sample size calculations for mHealth-based health surveys and (ii) a cross-over study determining validity of an mHealth text messaging data collection tool. The first study used mixed methods, both quantitative and qualitative, including: (i) two surveys with caregivers of young children, (ii) interviews with caregivers, village doctors and participants of the cross-over study, and (iii) researchers' views. We combined data from caregivers, village doctors and researchers to provide an in-depth understanding of factors influencing sample size calculations for mHealth-based health surveys. The second study, a cross-over study, used a randomised cross-over study design to compare the traditional face-to-face survey method to the new text messaging survey method. We assessed data equivalence (intrarater agreement), the amount of information in responses, reasons for giving different responses, the response rate, characteristics of non-responders, and the error rate.

conclusionsThis paper described the objectives, field site and methods of a large mHealth project part of a collaboration between researchers in China and the UK. The mixed methods study evaluating factors that influence sample size calculations could help future studies with estimating reliable sample sizes. The cross-over study comparing face-to-face and text message survey data collection could help future studies with developing their mHealth tools.

Identifiers

PMID24363919
PMCPMC3868818

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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.