The effect of mHealth on childhood vaccination in Africa: A systematic review and meta-analysis.
<h4>Introduction</h4>Vaccine-preventable diseases are the public health problems in Africa, although vaccination is an available, safe, simple, and effective method prevention. Technologies such as mHealth may provide maternal access to health information and support decisions on childho...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0294442 |
| _version_ | 1797295143992164352 |
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| author | Girma Gilano Sewunet Sako Berihun Molla Andre Dekker Rianne Fijten |
| author_facet | Girma Gilano Sewunet Sako Berihun Molla Andre Dekker Rianne Fijten |
| author_sort | Girma Gilano |
| collection | DOAJ |
| description | <h4>Introduction</h4>Vaccine-preventable diseases are the public health problems in Africa, although vaccination is an available, safe, simple, and effective method prevention. Technologies such as mHealth may provide maternal access to health information and support decisions on childhood vaccination. Many studies on the role of mHealth in vaccination decisions have been conducted in Africa, but the evidence needs to provide conclusive information to support mHealth introduction. This study provides essential information to assist planning and policy decisions regarding the use of mHealth for childhood vaccination.<h4>Methods</h4>We conducted a systematic review and meta-analysis for studies applying mHealth in Africa for vaccination decisions following the Preferred Reporting Items for Systematic and Meta-Analysis [PRISMA] guideline. Databases such as CINAHL, EMBASE, PubMed, PsycINFO, Scopus, Web of Science, Google Scholar, Global Health, HINARI, and Cochrane Library were included. We screened studies in Endnote X20 and performed the analysis using Revman 5.4.1.<h4>Results</h4>The database search yielded 1,365 articles [14 RCTs and 4 quasi-experiments] with 21,070 participants satisfied all eligibility criteria. The meta-analysis showed that mHealth has an OR of 2.15 [95% CI: 1.70-2.72; P<0.001; I2 = 90%] on vaccination rates. The subgroup analysis showed that regional differences cause heterogeneity. Funnel plots and Harbord tests showed the absence of publication bias, while the GRADE scale showed a moderate-quality body of evidence.<h4>Conclusion</h4>Although heterogeneous, this systematic review and meta-analysis showed that the application of mHealth could potentially improve childhood vaccination in Africa. It increased childhood vaccination by more than double [2.15 times] among children whose mothers are motivated by mHealth services. MHealth is more effective in less developed regions and when an additional incentive party with the messaging system. However, it can be provided at a comparably low cost based on the development level of regions and can be established as a routine service in Africa.<h4>Registration</h4>PROSPERO: CRD42023415956. |
| first_indexed | 2024-03-07T21:42:30Z |
| format | Article |
| id | doaj.art-61b8d5fad8c74a0c9a621921111236fd |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-07T21:42:30Z |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-61b8d5fad8c74a0c9a621921111236fd2024-02-26T05:31:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01192e029444210.1371/journal.pone.0294442The effect of mHealth on childhood vaccination in Africa: A systematic review and meta-analysis.Girma GilanoSewunet SakoBerihun MollaAndre DekkerRianne Fijten<h4>Introduction</h4>Vaccine-preventable diseases are the public health problems in Africa, although vaccination is an available, safe, simple, and effective method prevention. Technologies such as mHealth may provide maternal access to health information and support decisions on childhood vaccination. Many studies on the role of mHealth in vaccination decisions have been conducted in Africa, but the evidence needs to provide conclusive information to support mHealth introduction. This study provides essential information to assist planning and policy decisions regarding the use of mHealth for childhood vaccination.<h4>Methods</h4>We conducted a systematic review and meta-analysis for studies applying mHealth in Africa for vaccination decisions following the Preferred Reporting Items for Systematic and Meta-Analysis [PRISMA] guideline. Databases such as CINAHL, EMBASE, PubMed, PsycINFO, Scopus, Web of Science, Google Scholar, Global Health, HINARI, and Cochrane Library were included. We screened studies in Endnote X20 and performed the analysis using Revman 5.4.1.<h4>Results</h4>The database search yielded 1,365 articles [14 RCTs and 4 quasi-experiments] with 21,070 participants satisfied all eligibility criteria. The meta-analysis showed that mHealth has an OR of 2.15 [95% CI: 1.70-2.72; P<0.001; I2 = 90%] on vaccination rates. The subgroup analysis showed that regional differences cause heterogeneity. Funnel plots and Harbord tests showed the absence of publication bias, while the GRADE scale showed a moderate-quality body of evidence.<h4>Conclusion</h4>Although heterogeneous, this systematic review and meta-analysis showed that the application of mHealth could potentially improve childhood vaccination in Africa. It increased childhood vaccination by more than double [2.15 times] among children whose mothers are motivated by mHealth services. MHealth is more effective in less developed regions and when an additional incentive party with the messaging system. However, it can be provided at a comparably low cost based on the development level of regions and can be established as a routine service in Africa.<h4>Registration</h4>PROSPERO: CRD42023415956.https://doi.org/10.1371/journal.pone.0294442 |
| spellingShingle | Girma Gilano Sewunet Sako Berihun Molla Andre Dekker Rianne Fijten The effect of mHealth on childhood vaccination in Africa: A systematic review and meta-analysis. PLoS ONE |
| title | The effect of mHealth on childhood vaccination in Africa: A systematic review and meta-analysis. |
| title_full | The effect of mHealth on childhood vaccination in Africa: A systematic review and meta-analysis. |
| title_fullStr | The effect of mHealth on childhood vaccination in Africa: A systematic review and meta-analysis. |
| title_full_unstemmed | The effect of mHealth on childhood vaccination in Africa: A systematic review and meta-analysis. |
| title_short | The effect of mHealth on childhood vaccination in Africa: A systematic review and meta-analysis. |
| title_sort | effect of mhealth on childhood vaccination in africa a systematic review and meta analysis |
| url | https://doi.org/10.1371/journal.pone.0294442 |
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