Evidence map›Paper›PMID 42133614›Full record

ArticlePloS one2026

Barriers of last mile supply chain management and reproductive, maternal, new born, and child health product availability in Ethiopia.

Welelaw Necho Mulatu, Danielson K Onyango, Happiness Mberesero, Gizachew Tadelle, Dessalew Emaway, Bezawit Mesfin, Tsegaye Shewangizaw, Chala Tesfaye, Andualem Ababu, Biruk Bogale and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Welelaw Necho MulatuJSI, Addis Ababa, Ethiopia.ORCID https://orcid.org/0009-0006-8268-9738
Danielson K OnyangoinSupply Health, Nairobi, Kenya.
Happiness MbereseroinSupply Health, Dareselam, Tanzania.
Gizachew TadelleJSI, Addis Ababa, Ethiopia.
Dessalew EmawayJSI, Addis Ababa, Ethiopia.
Bezawit MesfinJSI, Addis Ababa, Ethiopia.
Tsegaye ShewangizawJSI, Addis Ababa, Ethiopia.
Chala TesfayeJSI, Addis Ababa, Ethiopia.
Andualem AbabuinSupply Health, Addis Ababa, Ethiopia‌‌.
Biruk BogaleJSI, Addis Ababa, Ethiopia.
Kerubo MogesiinSupply Health, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite notable advancements in Ethiopia's health supply chain, critical bottlenecks persist at the last mile, particularly within health centres and health posts. This study aimed to identify barriers affecting the availability of reproductive, maternal, new-born, and child health commodities and to explore barriers, and constraints that hinder effective data use for supply chain decision-making.

methodsThis qualitative study employed key informant interviews with 23 participants, including logisticians, pharmacists, store managers, health extension workers, and health program experts. Data were analysed using Braun and Clarke's thematic analysis framework.

resultsSix key bottlenecks emerged: [1] inconsistent delivery systems; [2] poor data quality and limited use of Logistic Management Information System (LMIS); [3] inadequate inventory management; [4] weak quantification system; [5] staffing shortages; and [6] infrastructure barriers. In pastoral areas, poor road access, limited cold storage, and low eLMIS coverage hinder direct deliveries. Agrarian regions benefit from more direct delivery coverage, but they still face challenges, including aging vehicles and poor rural roads. Across both settings, health posts, the lowest level health facility, often experience inconsistent supply and resort to self-product collection. Indirect delivery via an added layer of woreda (district) offices poses delivery delays. Broader infrastructure issues, such as inadequate storage space, unreliable power, and weak internet connectivity, compound these problems. Data management system weaknesses, including poor reporting quality, limited interoperability, and minimal data use for decision-making, persist in both contexts. Human resource constraints such as shortages of skilled personnel, high turnover, and limited training further undermine supply chain performance.

conclusionsThis assessment highlights interrelated bottlenecks affecting last-mile RMNCH product availability in both pastoral and agrarian areas of Ethiopia, though the severity and context-specific barriers vary. Addressing these issues requires coordinated, system-wide strategies that are tailored to regions with a focus on transportation, strengthening infrastructure, data systems, and workforce capacity.

Indexed as

Child HealthHealth Services AccessibilityMaternal Health ServicesChildEthiopiaFemaleHumansPregnancyPublic Health Infrastructure

Identifiers

PMID42133614
PMCPMC13175355

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.