Evidence map›Paper›PMID 40230874›Full record

ArticleOxford open digital health2025

Using mobile phone survey paradata for process evaluations and improvements: best practices and lessons learned from nine surveys in seven sites.

Casey J Siesel, Juliette Lee, Rachael Phadnis, Stacy Davlin, Tobias Brevik, Veronica Lea

Abstract read
In one paragraph

Article in Oxford open digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Casey J SieselDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.ORCID https://orcid.org/0000-0003-3104-5685
Juliette LeeDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
Rachael PhadnisDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
Stacy DavlinDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
Tobias BrevikAlexton, 8210 Cinder Bed Road, Suite 02, Lorton, VA 22079, USA.
Veronica LeaDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of mobile phone surveys (MPS) for regionally or nationally representative data allows for quick, efficient and affordable data collection for monitoring trends and generating results to guide action. By digitizing this process, data flows can be expanded to include metadata and paradata that allow survey administrators to evaluate and improve survey processes and parameters. Between 2017 and early 2022, the Centers for Disease Control and Prevention provided technical support to country partners to implement MPS gathering indicators on noncommunicable diseases within adult populations in seven countries. These surveys resulted in 37 591 completed interviews containing no personal identifiable information. When combined, these surveys result in over 25 million rows of paradata representing timestamped interactions between the data collection platform and each survey respondent. Using exploratory data analysis, five key metrics were identified which had implications on MPS process optimization: timing of engagement, question randomization, contacts to complete, errors and mode effect. The use of survey paradata allows for real-time process evaluations and identifies factors that can improve efficiency and effectiveness of MPS methods.

Indexed as

mHealthmobile phone surveynoncommunicable diseaseparadatasurveillancesurvey design

Identifiers

PMID40230874
PMCPMC11932146

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.