Cited by 21Mobile Health and mHealth ApplicationsVaccine Coverage and HesitancyICT in Developing Communities

Characteristics of mobile phone access and usage in rural and urban Guatemala: assessing feasibility of text message reminders to increase childhood immunizations

Open access
Domek, Gretchen J., Contreras-Roldan, Ingrid L., Asturias, Edwin J., Bronsert, Michael, Bolaños Ventura, Guillermo Antonio, O’Leary, Sean T., Kempe, Allison, Bull, Sheana·2018·mHealth

Abstract

Background: Despite efforts to promote vaccination in low- and middle-income countries (LMICs), over 20 million infants remain under-immunized and at risk for unnecessary morbidity and mortality. Mobile health technologies, such as Short Message Service (SMS) texts, have tremendous and untapped potential for disease management. Patient reminder systems are an important mechanism for improving childhood vaccination coverage and can be easily adapted to SMS platforms. However, current research lacks an understanding of the barriers and facilitators to mHealth program design, implementation, and scale in LMICs. Methods: We analyzed survey data collected March–November 2016 at the enrollment visit from a randomized controlled trial conducted at public health clinics in urban and rural Guatemala. Participants included eligible infants 6 weeks to 6 months of age receiving the first dose of the primary immunization series. At least one parent needed to own a mobile phone and be capable of deciphering SMS. Chi-square or Fisher’s exact and Student’s t-test were used to assess significance levels in demographic differences to describe factors that contribute to the feasibility of using an SMS-based vaccination reminder system. Results: Of 1,088 families approached for enrollment, 871 were eligible and 720 (82.7%) participated with equal numbers of urban and rural children enrolled; 54 parents did not own a mobile phone with SMS capability and three parents could not use SMS. There was no significant difference between urban and rural maternal mobile phone ownership (94.4% vs. 93.3%, P=0.53), but more urban fathers owned mobile phones (72.8% vs. 47.1%, P<0.0001) and, overall, more mothers compared to fathers owned mobile phones (93.9% vs. 61.1%, P<0.0001). Most families (90.4%) chose to have reminders sent to the mother. Urban participants reported more mobile phones present in the home (P<0.0001), but rural participants reported more telephone landlines (34.7% vs. 15.6%, P<0.0001). Most participants reported a daily average of ≤5 telephone calls made (87.4%), ≤10 texts sent (91.0%), and ≤10 texts received (89.9%), with urban families reporting greater telephone usage (P=0.006, P<0.001, and P<0.001 respectively). Parents preferred to make calls over sending texts (74.7% vs. 25.3%, P<0.0001), with more urban families preferring text messaging (31.9% vs. 18.6%, P<0.0001). Conclusions: Our study results provide important insight into mobile phone access, usage, and preferences for voice and text communication across rural and urban populations of an LMIC that can be used to inform future mHealth interventions. Our findings suggest that offering a combination of more traditional communication methods with newer, modern technologies may be more effective at reminding families about vaccination visits, particularly for our rural population, and that targeting mothers for mobile phone interventions may provide the greatest benefits. Overall, our study suggests that using SMS reminders in LMICs can be a feasible tool for public health interventions.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.21037/mhealth.2018.03.05

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Domek, G. J., Contreras-Roldan, I. L., Asturias, E. J., Bronsert, M., Bolaños Ventura, G. A., O’Leary, S. T., Kempe, A., & Bull, S.
Affiliations
  • Colorado School of Public Health (US)
  • Universidad del Valle de Guatemala (GT)
  • University of Colorado Anschutz (US)
Corresponding author
Domek, Gretchen J.
Venue
mHealth
Published
2018-04
Volume
4
Pages
9-9
ISSN
2306-9740 (ISSN-L)
OpenAlex
W2802027154
Cited by
21
References
30
Citations by year
2025: 2 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 5 · 2020: 3 · 2019: 2 · 2018: 1
FWCI
4.20
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • mHealth (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Health › Vaccine Coverage and Hesitancy
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
Keywords
mobile phone ownership, SMS reminders, childhood immunization, vaccination coverage, urban-rural differences, Guatemala, infants, public health clinics, low- and middle-income countries

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review