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Record W2999269567 · doi:10.1007/s00268-019-05363-7

Surgical Task‐Sharing to Non‐specialist Physicians in Low‐Resource Settings Globally: A Systematic Review of the Literature

2020· review· en· W2999269567 on OpenAlex
Ryan Falk, Bill Taylor, Jude Kornelsen, Roohina Virk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWorld Journal of Surgery · 2020
Typereview
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsVancouver Hospital and Health Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsVascular surgeryCardiothoracic surgeryMedicineAbdominal surgeryCardiac surgeryTask (project management)Systematic reviewMEDLINEGeneral surgeryIntensive care medicineSurgeryEngineeringPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: As the global community increasingly recognizes the large and unmet burden of surgical disease, a new emphasis is being placed on strengthening the health system at the first-level hospital. The shortage of surgical care providers at this district and rural level can be met by surgical task-shifting/sharing to non-physician clinicians (NPCs) and non-specialist physicians (NSPs). While the role of NPCs in low-middle-income countries (LMICs), in particular in sub-Saharan Africa (SSA), has been well documented in the literature, there has been little focus on NSPs. In addition to providing essential surgical services, this physician cadre also practices generalist medicine, an advantage at the first-level hospital. The present study seeks to explore where, across all country income groups, NSPs are providing surgical services and what additional surgical training, if any, is available in each identified country. METHODS: A systematic review of the literature was performed, following PRISMA guidelines. Medline, EMBASE, EBM Reviews, and CINAHL were searched. Including hand-searching for further references, 53 publications met inclusion/exclusion criteria and were identified for data extraction purposes. Gray literature was also explored within the time limits for this study. RESULTS: Surgical task-shifting/sharing to NSPs occurs across all country income groups; some provide surgical obstetrics, while others also provide a broader scope of surgical services. Within LMIC countries, the majority are in SSA. In SSA, 16 of 54 countries were included in the reviewed articles, only 4 of which (Ethiopia, Niger, Nigeria, and Sierra Leone) have a formal surgical program beyond the regular medical officer/general practitioner training. Canada and Australia have established programs for both surgical obstetrics and the broader scope, while the USA has several programs for surgical obstetrics and is developing a new, broad-scope program. CONCLUSION: This study has demonstrated that NSPs are providing surgical services across all income groups, with varying degrees of additional training specific to the surgical needs of their district/rural location. To "close the gap" in needed surgical services at the first-level hospital, more task-sharing needs to occur to both NSPs (the focus of this study) and NPCs. Collaboration between practitioners and training programs, given the shared challenges and practice environments, would help support task-sharing at the first-level hospital and improve access to the 5 billion underserved people.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.411
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.003
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.318
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it