Evidence map›Paper›PMID 36407821›Full record

ArticleVaccine: X2022

Key lessons learned from the immunization supply chain of Malawi, an African country using EVM2.0.

Ghanshyam Sethy, Mike Nenani Chisema, Lokesh Sharma, Olamide Folorunso, Dereje Haile, Zeinab Reda Berri, Krupal Joshi, Mphatso Ntenje, Collins Mitambo, Beverly Laher and 7 more

Abstract read
In one paragraph

Article in Vaccine: X, 2022. 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. Review
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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.

Ghanshyam SethyHealth Specialist, UNICEF, Malawi.
Mike Nenani ChisemaPreventive Health Services & Program Manager-Expanded Program on Immunization (EPI), Malawi.
Lokesh SharmaVaccine Management Specialist, UNICEF Malawi, & Ph.D. Scholar, Jaipur National University, India.
Olamide FolorunsoHealth Specialist, UNICEF Head Quarter, USA.
Dereje HaileCold Chain Specialist, UNICEF Regional Office, Nairobi, Kenya.
Zeinab Reda BerriSupply Chain Contractor, UNICEF Regional Office, Nairobi, Kenya.
Krupal JoshiDepartment of Community and Family Medicine, All India Institute of Medical Science -Rajkot, Gujarat, India.
Mphatso NtenjeNational Cold Chain Manager & MVIP Focal Person, Ministry of Health, Malawi.
Collins MitamboHead of Research, Public Health Institute of Malawi (PHIM)-Ministry of Health, Malawi.
Beverly LaherSchool of Global & Public Health, Kamuzu University of Health Sciences (KUHeS), Lilongwe, Malawi.
Sanjay SinghalDepartment of Pulmonary Medicine, All India Institute of Medical Science, Rajkot, Gujarat, India.
Samuel ChirwaCold Chain Specialist, UNICEF, Cambodia.
Tedla DamteChief Health and Nutrition, Programme Health Section, UNICEF Khartoum, Sudan & PhD Scholar, LIKA UFPE, Brazil.
Flint ZuluHealth Specialist, UNICEF Regional Office, Nairobi, Kenya.
Antoinette Eleonore BaHealth Specialist, UNICEF Regional Office, Nairobi, Kenya.
Michelle SeidelImmunization (Team Lead: Immunization Supply Chain) UNICEF Head Quarter, USA.
John PhukaKamuzu University of Health Sciences (KUHeS), Malawi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: A country's immunization system's effectiveness depends on its supply chain's efficacy. To assess the challenges of maintaining an efficient vaccine supply chain, Malawi conducted its assessment using The EVM2.0 tool (Effective Vaccine Management). Methods: It is a cross-sectional study in which all EVM requirements were assessed between September and October 2021. Data were collected from eighty-two randomly selected sites using the site selection tool of the EVM. Data were entered into the EVM assessment tool 2.0 version 1.12 for analysis. This tool generates performance indicators and criteria scores for assessed sites, compared with a WHO minimum score of 80%. Results: Overall criteria scores across all levels of the immunization supply chain showed a statistically significant mean difference of 5.92 (t = 2.58, P = 0.02). Comparative overall mean criteria scores across different levels of the immunization supply chain showed no statistically significant difference for primary (p = 0.76), sub-national (p = 0.69), and lowest distribution stores (p = 0.12). However, a substantial gap was found in the overall mean scores of the health facility's service point (SP) (t = 4.12, P = 0.001). The overall category scores across all immunization supply chain levels did not show a statistically significant difference. However, among individual category scores, Infrastructure (76 %), Equipment (67 %), Policies and procedures (62 %), Financial (47 %), and Resources (64 %) were found to be below the WHO minimum score. Conclusion: Though the 2021 Malawi EVM assessment findings are promising, they still identified the gaps to be improved to ensure the vaccine availability in the right amount, at the right time, and at the right cost.

Indexed as

EVM2.0MalawiVaccine

Identifiers

PMID36407821
PMCPMC9668734

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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.