Evidence map›Paper›PMID 40896786›Full record

ArticleFrontiers in surgery2025

Exploring the concept of surgical transition: surgical activity in the light of economic development in Sierra Leone, Liberia, Ghana and India.

Juul M Bakker, Alex J van Duinen, Priti Patil, Priyansh Nathani, Adam Gyedu, Håvard A Adde, Pranav Bhushan, Nobhojit Roy, Anita Gadgil, Håkon A Bolkan

Abstract read
In one paragraph

Article in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Juul M BakkerDepartment of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Alex J van DuinenDepartment of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Priti PatilDepartment of Statistics, BARC Hospital, Mumbai, India.
Priyansh NathaniDepartment of Casualty, District General Hospital, Gadchiroli, India.
Adam GyeduDepartment of Surgery, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Håvard A AddeDepartment of Surgery, Ålesund Hospital, Ålesund, Norway.
Pranav BhushanInstitute of Global Public Health, University of Manitoba, Winnipeg, MB, Canada.
Nobhojit RoyWHO Collaborating Centre for Emergency, Critical and Operative Care, The George Institute for Global Health, New Delhi, India.
Anita GadgilWHO Collaborating Centre for Emergency, Critical and Operative Care, The George Institute for Global Health, New Delhi, India.
Håkon A BolkanDepartment of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The surgical volume indicator measures surgical activity within a population, but it does not fully untangle the details behind the statistical indicator. As health systems evolve and countries develop economically, the types of surgeries performed, providers, and levels of healthcare facilities may provide a richer understanding of changes in surgical activity. This research studied surgical activity in four diverse settings by analyzing initial data to assess trends in patient characteristics, surgical staff, case distribution, level of care, and anesthesia practices, forming the basis for a "surgical transition" framework. Methods: We conducted a secondary analysis of surgical volume data from four studies in Sierra Leone, Liberia, Ghana, and India, to assess trends in surgical distribution. Descriptive statistics were used to compare surgical volumes by population subgroups, surgical providers, case distribution, level of care, and anesthesia. Results: Findings show that countries with higher GDP per capita had greater surgical volumes, more specialist providers, and a broader, more advanced case mix. Increases in surgical volume were most notable among older age groups, gender disparities in access diminished as systems developed. In lower-income settings, a large share of surgeries were cesarean sections or other procedures for women of reproductive age, while there were more surgeries in the older population in more advanced economies. The proportion of essential surgeries, including for example surgeries for obstetric complications, abdominal emergencies and injuries, remained stable between low- and lower-middle-income countries, decreasing only with further economic development. Specialist-performed procedures increased with economic growth, resulting in greater surgical variety and complexity. Discussion: Changes in surgical volume must be understood within the broader context of societal and economic development as well as the health system. The concept of "surgical transition" highlights how demographic and socioeconomic progress is reflected in the quantity, diversity, and complexity of surgical services. As countries advance, internal priorities, such as healthcare policies, financing, infrastructure, and service delivery mechanisms, also evolve. These factors influence surgical care delivery. Each phase of the surgical transition presents different challenges and needs. Recognizing the phase of surgical transition can help guide strategies and establish realistic interim targets for the global surgical indicators, making them more actionable tools for measuring progress and comparing systems.

Indexed as

economic developmentglobal southglobal surgeryhealth systemhuman resources for health (HRH)low- and lower-middle-income countriessurgical volumetransition

Identifiers

PMID40896786
PMCPMC12394221

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Registered trials

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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.