Evidence map›Paper›PMID 31632609›Full record

ArticleOnline journal of public health informatics2019

Development of automated text-message reminder system to improve uptake of child vaccination in Ethiopia.

Zeleke Abebaw Mekonnen, Fedlu Nurhussien Hussien, Binyam Tilahun, Kassahun Alemu Gelaye, Adane Mamuye

Open access · goldAbstract read
In one paragraph

Article in Online journal of public health informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
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

7 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 1 institution in 2 countries.

Zeleke Abebaw MekonnenDepartment of health informatics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Fedlu Nurhussien HussienDepartment of computer science, Faculty of Informatics, University of Gondar, Gondar, Ethiopia.
Binyam TilahunDepartment of health informatics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Kassahun Alemu GelayeDepartment of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Adane MamuyeDepartment of computer science, Faculty of Informatics, University of Gondar, Gondar, Ethiopia.
University of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNon-attendance and delay for vaccination schedules remains a big challenge to healthcare workers. Among the frequently mentioned reasons for missed vaccination in children is forgetfulness of caretakers to show up in vaccination schedules. This necessitates developing an automated reminder system with integration of mobile technologies.

objectivesThis paper aimed to develop and test an automated mobile text message reminder system in the local context of Ethiopia.

methodsThis system is developed using iterative development process through phases of requirement analysis, design, development, testing and refinement. Requirement gathering was done before development of the system. Front end application was developed using java technologies while back end applications were developed with oracle database. Finally, pilot testing of the automated reminder system was done on 30 participants.

resultsThe automated system has been developed based on requirements. The text message reminder system has two components: 1. Web based application for client registration and automatic reminder scheduling; 2. SMS application for automatic SMS text messaging. In the pilot testing, all the text messages (100%) were dispatched from the automated system to the respective participants. Finally, the system has shown a notification that the text messages have been sent successfully.

conclusionText message reminder system has been developed for routine childhood immunization program in Ethiopian context. Text message based mHealth interventions should be carefully designed, developed, tested and refined before actual implementation.

Indexed as

Automated ReminderImmunizationmHealthText MessageVaccination

Identifiers

PMID31632609
PMCPMC6788892
OpenAlexW2975303860

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.