Evidence map›Paper›PMID 41615968›Full record

ArticlePLOS global public health2026

Building better outcomes: A grounded theory approach to understanding creation and management of surgical data systems in Ethiopia.

Taylor J Jaraczewski, Tien Vo, Anika Agrawal, Haben Tafesse, Belay Mellese Abebe, Mary Schroeder, Christopher Dodgion, Katherine R Iverson, Katinka Hooyer, Syed Nabeel Zafar

Abstract read
In one paragraph

Article in PLOS global public health, 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

10 authors.

Taylor J JaraczewskiDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.ORCID https://orcid.org/0000-0002-1727-5882
Tien VoDepartment of Surgery, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, United States of America.ORCID https://orcid.org/0009-0002-7773-2034
Anika AgrawalDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.ORCID https://orcid.org/0000-0001-7465-2771
Haben TafesseDepartment of Surgery, Hawassa University Comprehensive Specialized Hospital, Awassa, Ethiopia.
Belay Mellese AbebeDepartment of Surgery, Hawassa University Comprehensive Specialized Hospital, Awassa, Ethiopia.
Mary SchroederDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.ORCID https://orcid.org/0000-0001-5880-8051
Christopher DodgionDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Katherine R IversonDepartment of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Katinka HooyerDepartment of Family and Community Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.ORCID https://orcid.org/0000-0002-7938-112X
Syed Nabeel ZafarDepartment of Surgery, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, United States of America.ORCID https://orcid.org/0000-0003-3843-9687

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical outcomes in low- and middle-income countries are significantly worse than in their high-income country counter parts. Registries are an important tool in quality improvement as they facilitate collection and analysis of comprehensive patient data to be used for benchmarking outcomes. Despite the known efficacy of such registries, they are sparse in low- and middle-income countries. Ethiopia, however has had success implementing perioperative data collection systems at a national as well as local level. This qualitative study seeks to understand the experience of creating and managing such registries in the low-income setting from the perspective of individuals who work in this space. We performed 14 semi-structured interviews with individuals from Ethiopia who work with data systems. Interviews were performed with 3 data collectors, 3 surgeons, 3 administrators, 2 hospital focal people, and 3 ministry of health officials. Thematic analysis was employed through a grounded theory approach. Primary themes were identified: the resource ecosystem, the budget checkpoint, digitalization, the mindset highway, and universal personal commitments. From these themes, we developed an interdependent systems theory, which states that complex data systems in LMICs are driven by the dynamic interaction of three pillars: infrastructure, people, and budget prioritization. This study provides rare insight into the management of peri-operative data collection systems in LMICs from the perspective of professionals who work in this space. Findings from this study can be utilized as a reference and blueprint for other countries and groups who aim to create data collection systems in challenging environments.

Identifiers

PMID41615968
PMCPMC12857948

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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.