ArticleWorld journal of surgery2026
Development of a Surgical Data Availability and Transferability Assessment Tool and Its Use in Evaluating Mozambique's Surgical Data Ecosystem.
Article in World journal of surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundIn 2015, the Lancet Commission on Global Surgery promoted the adoption of six perioperative care indicators and increased their visibility in national health policies. However, regular reporting of these surgical indicators remains limited due to challenges with data infrastructure and workforce capacity. This study defines the surgical data ecosystem in a low-income country and develops a tool for harmonizing national data ecosystems with validated global indicators.
methodsThis exploratory, mixed-methods study examined the scope of Mozambique's surgical data ecosystem in 2023. Data were obtained in three phases: qualitative interviews with health data stakeholders, analysis of data instruments from four purposively selected public hospitals, and review of aggregate Ministry of Health reports used for surgical system monitoring and evaluation. These data were organized by domains and compared with international reporting standards, informing development of the Surgical Data Availability and Transferability Assessment (S-DATA) tool for evaluating surgical data availability, transferability, and usability for global benchmarking.
resultsMetadata and data instruments were inconsistent across hospitals, which carried into aggregate reports. Facility-level data elements and national reports did not align with national and international guidelines, respectively. Processes for aggregating data varied between data managers, leading to loss of information in summary reports. The flow of surgical data from facility to national reports revealed multiple parallel data streams. These findings informed development and pilot application of the S-DATA tool, with variable data ecosystem performance at the facility level, ranging from fair to poor, yet excellent metadata availability at the highest levels of aggregation.
conclusionsThis study represents the first structured evaluation of a surgical data ecosystem in Mozambique and the development of a novel framework for benchmarking surgical data availability against international standards. Data management analysis revealed gaps, redundancies, and inefficiencies at each level of aggregation. Standardized data instruments and reporting processes may facilitate monitoring and evaluation of surgical systems. Future studies are necessary to validate the S-DATA tool in additional settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.