Evidence map›Paper›PMID 42315569›Full record

ArticleScientific reports2026

Development and psychometric validation of digital tool maturity scale for primary healthcare supply chain system in Ethiopia.

Tesfahun Hailemariam, Tadesse Awoke Ayele, Araya Abrha Medhanyie, Adane Kebede, Tadesse Alemu Bekele, Sami Tewfik, Alem Desta, Shishay Welay, Tariku Nigatu

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

9 authors.

Tesfahun HailemariamDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. tesfahunhailemariam@gmail.com.
Tadesse Awoke AyeleDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Araya Abrha MedhanyieSchool of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Adane KebedeDepartment of Health System and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Tadesse Alemu BekeleJSI Research and Training Institute, Addis Ababa, Ethiopia.
Sami TewfikJSI Research and Training Institute, Addis Ababa, Ethiopia.
Alem DestaSchool of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Shishay WelayMekelle Institute of Technology (MIT), Mekelle University, Mekelle, Ethiopia.
Tariku NigatuJSI Research and Training Institute, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable measurement tools are essential for assessing facility performance and guiding digital tool implementation maturity. Despite Ethiopia's progress in digital tool implementation and maturity, the lack of a standardized instrument to assess digital supply chain maturity remains a significant challenge. The lower-level pharmaceutical supply system (Dagu) is a locally developed open-source platform in the supply chain system designed to provide systematic record-keeping and manage health commodities in Ethiopia. This study aimed to develop and validate Dagu maturity assessment tool at primary healthcare units in Ethiopia. A cross-sectional study was conducted in all Dagu system implementing facilities in Ethiopia. Item identification, domain generation, and establishment of face and content validity were conducted. Data were collected electronically using the Open Data Kit and analyzed using R version 3.4.6. Factor analysis assumptions such as KMO and Bartlett's test of Sphericity, were checked, and confirmatory factor analysis was carried out to determine item loading across measurement domains. Model fitness was assessed using Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), Tucker-Lewis Index (TLI) and Standardized Root Mean Square Residual (SRMR). Item-level explanatory power was evaluated using square multiple correlation (R

Indexed as

Primary Health CarePsychometricsCross-Sectional StudiesEthiopiaFactor Analysis, StatisticalHumansReproducibility of ResultsConfirmatory factor analysisDevelopmentDigital healthEthiopiaMaturity assessment toolValidation

Identifiers

PMID42315569
PMCPMC13365385

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.