Evidence map›Paper›PMID 39529556›Full record

ArticleGlobal health action2024

Use of mobile phones to collect data on COVID-19: phone access and participation rates, in Rakai, Uganda.

Robert Ssekubugu, Anthony Ndyanabo, Fredrick Makumbi, Anna Mia Ekström, Laura Beres, Grace Nalwoga Kigozi, Hadijja Nakawooya, Joseph Ssekasanvu, Maria J Wawer, Fred Nalugoda and 10 more

Erratum issuedAbstract read
In one paragraph

Article in Global health action, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Robert SsekubuguRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0003-1245-4774
Anthony NdyanaboRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0002-0087-9292
Fredrick MakumbiRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0002-6460-7325
Anna Mia EkströmDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-3912-1171
Laura BeresDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-4731-7828
Grace Nalwoga KigoziRakai Health Sciences Program, Kalisizo, Uganda.
Hadijja NakawooyaRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0002-0566-547X
Joseph SsekasanvuRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0002-3721-2299
Maria J WawerRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0002-3601-4469
Fred NalugodaRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0001-6119-9293
Nelson SewankamboRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0001-9362-053X
Victor SsempijjaRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0003-2609-6525
Betty NantumeRakai Health Sciences Program, Kalisizo, Uganda.
David SerwaddaRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0001-6532-6587
Godfrey KigoziRakai Health Sciences Program, Kalisizo, Uganda.
Ronald H GrayRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0003-1952-6507
Larry W ChangRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0001-7985-4567
M Kate GrabowskiRakai Health Sciences Program, Kalisizo, Uganda.
Helena NordenstedtDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-9226-6441
Joseph KagaayiRakai Health Sciences Program, Kalisizo, Uganda.ORCID 0000-0003-4101-3038

Funding

Long-term impact of universal treatment and dolutegravir on population HIV virologic and incidence outcomes in Africa: The LONGVIEW StudyR01AI155080 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRABOWSKI, MARY KATHRYN · 2021 to 2024
$2.5M
Multidisciplinary Research Training to Understand and Reduce HIV Incidence in UgandaD43TW010557 · FIC · JOHNS HOPKINS UNIVERSITY · PI CHANG, LARRY WILLIAM · 2018 to 2022
$1.6M
FIC NIH HHS D43 TW010557NIAID NIH HHS R01 AI155080
6 · The paper itself

Abstract

During the COVID-19 pandemic lockdown, we deployed a rapid, mobile phone-based survey to assess access and participation rates when using mobile phones to collect data on COVID-19 in Rakai, south-central Uganda. We sampled prior Rakai Community Cohort Study (RCCS) participants based on HIV status using mobile phone contacts. We administered a 30-minute phone-based interview to consenting participants to assess their knowledge about different aspects of COVID-19 and their access to care. Our analysis compares the mobile phone survey participation rates with historic participation rates in regular RCCS face-to-face interviews. We supplemented phone survey data with demographic, behavioral, and HIV status data from prior face-to-face RCCS surveys. Phone access in Round 19 of the RCCS was found to be 90.2%, with lower access among older people, and people living with HIV. When including only individuals who participated in the previous RCCS survey round, participation in the face-to-face survey (81.9%) was higher than participation in our phone survey (74.8%,

Indexed as

Cell PhoneCOVID-19SARS-CoV-2AdolescentAdultAgedCohort StudiesData CollectionFemaleHealth Services AccessibilityHIV InfectionsHumansMaleMiddle AgedPandemicsSurveys and QuestionnairesCOVID-19face-to-face interviewsMobile phone surveysparticipation rateRakaisampling variation

Identifiers

PMID39529556
PMCPMC11559023

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.