Evidence map›Paper›PMID 40646114›Full record

ArticleScientific reports2025

Trends in mobile phone ownership, frequency of number changes, and implications for public health service delivery in Uganda, 2010-2020.

Robert Ssekubugu, Ping Teresa Yeh, Hadijja Nakawooya, Victor Ssempijja, Godfrey Kigozi, Joseph Kagaayi, Fred Nalugoda, Anna Mia Ekström, Betty Nantume, David Serwadda and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

17 authors.

Robert SsekubuguDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden. robert.ssekubugu@ki.se.
Ping Teresa YehRakai Health Sciences Program, Kalisizo, Uganda.
Hadijja NakawooyaRakai Health Sciences Program, Kalisizo, Uganda.
Victor SsempijjaClinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Godfrey KigoziRakai Health Sciences Program, Kalisizo, Uganda.
Joseph KagaayiDepartment of Epidemiology and Biostatistics, Makerere University School of Public Health, Kampala, Uganda.
Fred NalugodaRakai Health Sciences Program, Kalisizo, Uganda.
Anna Mia EkströmDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Betty NantumeRakai Health Sciences Program, Kalisizo, Uganda.
David SerwaddaRakai Health Sciences Program, Kalisizo, Uganda.
Philip KreniskeCommunity Health and Social Sciences Department, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, USA.
Zangin ZeebariDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Michelle A MoffaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Larry W ChangRakai Health Sciences Program, Kalisizo, Uganda.
Kate M GrabowskiRakai Health Sciences Program, Kalisizo, Uganda.
Fredrick MakumbiRakai Health Sciences Program, Kalisizo, Uganda.
Helena NordenstedtDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile phones significantly improve access to healthcare, public health services, and disease surveillance globally. However, challenges related to reachability and accessibility persist, especially when individuals change or drop telephone numbers affecting continuity in public health interventions such as HIV follow-ups and vaccine reminders. We explored trends in phone ownership, changes in mobile phone numbers, associated factors, and the time it takes to better understand how these might affect the ability of phone-based public health services to reach targeted recipients. We used data from the Rakai Community Cohort Study, a population-based prospective open cohort in rural Uganda. Between 2010 and 2020, data on phone ownership and individuals' phone numbers were collected for six consecutive visits. We assessed trends in phone ownership using descriptive statistics. Factors associated with the number of times individuals changed their phone numbers were assessed using a Poisson multivariable regression model. We used Anderson Gill Cox proportional hazards regression to evaluate the time-to-change of phone numbers. In total 41,922 participants contributed 97,034 visits. A majority (61.8%) of participants owned a mobile phone at some point from 2010 to 2020. Phone ownership increased over the study period from 51.2% in 2010 to 68.2% in 2020 (p < 0.001). Phone ownership was lower among women participants (versus men; adjPR = 0.81; 95% CI 0.78-0.83) and younger persons < 25 years (versus ≥ 25 years; adjPR = 0.69; 95% CI 0.65-0.72), but there were no differences by HIV serostatus. The rate of change in phone numbers was significantly lower among women participants (adjusted prevalence ratio [adjIRR] = 0.88; 0.83-0.95) and those with secondary education or above (versus primary or none; adjIRR = 0.92; 95% CI 0.87-0.98). In contrast, it was higher among young persons aged 15-24-years old (versus 45 + years; adjIRR = 2.52; 95% CI 2.13-2.76), those living in lake Victoria fishing communities (versus trading centers, adjIRR = 1.28; 95% CI 1.17-1.40), persons with lower SES (versus higher SES; adjIRR:1.30; 95% CI 1.19-1.42), and persons living with HIV (versus HIV negative participants; adjIRR = 1.11; 95% CI 1.03-1.20). In this Ugandan cohort, mobile phone ownership increased over time, although by 2020 nearly 30% of the population still did not own a phone, and participants frequently changed phone numbers. Being a man, living with HIV, and lower socioeconomic status were all associated with changing phone numbers, a community peer system to maintain contact with these groups may be required to supplement phone-based initiatives.

Indexed as

Cell PhoneDelivery of Health CareOwnershipPublic HealthAdolescentAdultFemaleHIV InfectionsHumansMaleMiddle AgedProspective StudiesRural PopulationUgandaYoung AdultmHealth dynamicsMobile number changesMobile phone ownershipRural UgandaSurveillance

Identifiers

PMID40646114
PMCPMC12254472

What OpenQuestion holds

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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.