Evidence map›Paper›PMID 36157567›Full record

ArticleThe Pan African medical journal2021

Targeted Short Message Service-Based Intervention to Improve Routine Immunization Reporting in Bauchi State, Nigeria, 2016.

Oluwasegun Joel Adegoke, Ester Mungure, Lynda Uju Osadebe, Olorunsogo Bidemi Adeoye, Matthew Aduloju, Idowu Makinde, Bakoji Ahmed, Patrick Mboya Nguku, Nadadilnasiya Endie Waziri, Peter Brian Bloland and 1 more

Abstract read
In one paragraph

Article in The Pan African medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

11 authors.

Oluwasegun Joel AdegokeAfrican Field Epidemiology Network, Nigeria Country Office, Abuja, Nigeria.
Ester MungureGlobal Immunization Division, Center for Global Health, United States Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Lynda Uju OsadebeGlobal Immunization Division, Center for Global Health, United States Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Olorunsogo Bidemi AdeoyeAfrican Field Epidemiology Network, Nigeria Country Office, Abuja, Nigeria.
Matthew AdulojuAfrican Field Epidemiology Network, Nigeria Country Office, Abuja, Nigeria.
Idowu MakindeAfrican Field Epidemiology Network, Nigeria Country Office, Abuja, Nigeria.
Bakoji AhmedBauchi State Primary Health Care Management Board, Bauchi, Nigeria.
Patrick Mboya NgukuAfrican Field Epidemiology Network, Nigeria Country Office, Abuja, Nigeria.
Nadadilnasiya Endie WaziriAfrican Field Epidemiology Network, Nigeria Country Office, Abuja, Nigeria.
Peter Brian BlolandGlobal Immunization Division, Center for Global Health, United States Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Adam MacNeilGlobal Immunization Division, Center for Global Health, United States Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: High quality, timely and complete immunization data are essential for program planning and decision-making. In Nigeria, the National Health Management Information System (NHMIS) Routine Immunization (RI) module and dashboard (on the District Health Information System version 2 (DHIS2) platform) support the use of real time RI data. We deployed an automated short message service (SMS) notification system that works with the existing RI module to facilitate improvements in RI data in the DHIS2. Methods: A pilot project was performed using intervention and control local government areas (LGAs). A mixed methods approach using both qualitative and quantitative methods was used to evaluate the system. We assessed changes in reporting rates across different reports. The evaluation also included baseline and post-intervention surveys of health facility (HF) staff. Results: Reporting timeliness (76% pre and 99% post intervention) and completeness (83% pre and 99% post intervention) were consistently higher during the post-intervention than the pre-intervention period for facilities in the intervention LGA while reporting timeliness (65% pre and 66% post intervention) and completeness (71% and 77% post intervention) for facilities in the control LGA showed no change. Users reported that the SMS system was easy to understand and helped to facilitate improvements in consistency of data and timeliness of reporting. Inability of health care workers to effect changes at the HF level and the lack of immediate feedback were reported as key challenges to timeliness and quality of reports. Conclusion: An SMS-based intervention improved timeliness and completeness of health data reporting. However, the intervention should be evaluated on a larger scale over a longer time period before considering a national implementation.

Indexed as

Health Information SystemsText MessagingHumansNigeriaPilot ProjectsVaccinationcompletenessDistrict health information system (DHIS2)Reporting timelinessRoutine ImmunizationShort message service (SMS)

Identifiers

PMID36157567
PMCPMC9475058

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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.