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Record W2286231417 · doi:10.1016/s2214-109x(16)00042-5

Closing the data gaps for surgical care delivery in LMICs

2016· letter· en· W2286231417 on OpenAlexaboutno aff
Robert Riviello, John W. Scott

Bibliographic record

VenueThe Lancet Global Health · 2016
Typeletter
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsScopusMedicineCaesarean deliveryLow and middle income countriesDeveloping countryMEDLINECaesarean sectionPolitical sciencePregnancyEconomic growth

Abstract

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In their study in The Lancet Global Health, Tarsicio Uribe-Leitz and colleagues1Uribe-Leitz T Jaramillo J Maurer L et al.Variability in mortality following caesarean delivery, appendectomy, and groin hernia repair in low-income and middle-income countries: a systematic review and analysis of published data.Lancet Glob Health. 2016; 4: 165-174Summary Full Text Full Text PDF Scopus (51) Google Scholar find great discrepancies in surgical outcomes across the regions of the world.1Uribe-Leitz T Jaramillo J Maurer L et al.Variability in mortality following caesarean delivery, appendectomy, and groin hernia repair in low-income and middle-income countries: a systematic review and analysis of published data.Lancet Glob Health. 2016; 4: 165-174Summary Full Text Full Text PDF Scopus (51) Google Scholar The authors examined three procedures that are fairly standardised in their operative indications and techniques (caesarean delivery, appendectomy, and groin hernia repair), and thus for which reporting should be nearly uniform. By undertaking a robust systematic review, Uribe-Leitz and colleagues have shown that quality surgical outcome data are a relatively void zone in low-income and middle-income countries (LMICs). Indeed, most LMICs do not currently report surgical outcome data. Comparison of outcomes across the relatively few LMICs that actually report these data shows tremendous variability and much room for improvements to surgical care. Through rigorous modelling efforts, the authors seek to fill some of these information gaps. The resultant analysis gives us an idea of regional so-called hotspots in surgical quality from a 30 000-foot perspective. Thus, this study contributes greatly to the extant literature by providing a broad strokes summary of many of the challenges in global surgical quality. These finding should prove useful in driving home global public health policy agenda that emphasize the need to decrease variability in surgical outcomes to ensure safer surgery in the world, and hence save more lives. Although the take-home message is clear and to be applauded, the precision of these estimates shows an additional gap in our knowledge. The wide CIs around the data presented by the authors are byproducts of challenging modelling and insufficient primary data. The process of multiple imputation informs us grossly about performance and quality across regions, but it cannot give us granular national and subnational data. This information would show the on-the-ground realities in each country or about the health-care delivery system within each country, which will also show great variability. Thus, although these data represented are useful for global policy advocacy, they cannot help countries, national professional societies, hospitals, or individual practitioners to make decisions on how to improve quality in their daily context. What are needed to assure and improve quality are assessments that originate closer to the ground. To quote Margaret Chan, Director General of WHO, “…the real need (in global health) is to close the data gaps, especially in low and middle-income countries, so that we no longer have to rely heavily on statistical modelling for data on disease burden.”2Chan M From new estimates to better data.Lancet. 2012; 380: 2054Summary Full Text Full Text PDF PubMed Scopus (48) Google Scholar More than ever before, there is hope that this level of reporting for the sake of quality improvement can be achieved via several new initiatives. The recent Lancet Commission on Global Surgery has advocated that all countries develop National Surgical Plans,3Meara JG Leather AJM Hagander L et al.Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development.Lancet. 2015; 386: 569-624Summary Full Text Full Text PDF PubMed Scopus (1850) Google Scholar in which goals for surgical care delivery, quality improvement, and financing are established locally. Such plans should also set goals and standards for data collection on surgical delivery and outcomes. There is also a movement towards organising country-level data collection on outcomes at regional or continental levels. Examples include the European Surgical Outcomes Study (EuSOS),4Pearse RM Moreno RP Bauer P et al.Mortality after surgery in Europe: a 7 day cohort study.Lancet. 2012; 380: 1059-1065Summary Full Text Full Text PDF PubMed Scopus (837) Google Scholar the South African Surgical Outcomes Study (SASOS),5Biccard B Madiba TE The South African Surgical Outcomes Study: a seven-day prospective observational cohort study: preliminary results.South Afr J Anaesth Analg. 2015; 21: 73-75Google Scholar and the upcoming African Surgical Outcomes Study (ASOS).6African Surgical Outcomes Studyhttp://www.asos.org.za/index.phpGoogle Scholar Through the collective efforts of the G4 Alliance and the Lancet Commission on Global Surgery, the WHO has recently accepted several new surgically oriented indicators to be added to its Global Reference List of Core 100 Health Indicators.7WHOGlobal Reference List of 100 Core Health Indicators.http://www.who.int/healthinfo/indicators/2015/en/Date: 2015Google Scholar The Lancet Commission on Global Surgery has also recently collected data for crucial surgical indicators from more than 70 countries and submitted these data to the World Bank for consideration of inclusion in their World Development Indicators list.8World BankWorld Development Indicators 2015. World Bank, Washington, DC2015Crossref Google Scholar These efforts will hopefully result in annual reporting of surgical indicators by countries around the world. This type of nationally based global reporting of outcomes data will begin to fill the gaps that this study reveals. A final example is the Pan American Trauma Society International Trauma Registry.9Ordóñez CA Pino LF Tejada JW et al.Experience of two first level hospitals in the southwest region of Colombia on the implementation of the Panamerican Trauma Society International Trauma Registry.Rev Col Bras Cir. 2012; 39: 255-262Crossref PubMed Scopus (22) Google Scholar, 10Zargaran E Adolph L Schuurman N et al.A global agenda for electronic injury surveillance: Consensus statement from the Trauma Association of Canada, the Trauma Society of South Africa, and the Panamerican Trauma Society.J Trauma Acute Care Surg. 2016; 80: 168-170Crossref PubMed Scopus (9) Google Scholar This is an externally supported, web-based trauma registry currently used in more than ten sites in Latin America, which enables local surgeons to identify opportunities for systems improvements aimed at reducing morbidity and mortality in trauma patients. This registry collaboration ensures that data collection, and its use for quality improvement, is locally driven and still benefits from international support and organisation. By showing the great variability in surgical outcomes across LMICs, Uribe-Leitz and colleagues1Uribe-Leitz T Jaramillo J Maurer L et al.Variability in mortality following caesarean delivery, appendectomy, and groin hernia repair in low-income and middle-income countries: a systematic review and analysis of published data.Lancet Glob Health. 2016; 4: 165-174Summary Full Text Full Text PDF Scopus (51) Google Scholar have shared with the world instructive knowledge that aids our ongoing advocacy efforts to promote quality in surgical care in resource-limited settings. Ultimately, for destitute sick and injured patients to receive safe surgical and anaesthesia care when needed, it is necessary for surgeons, hospitals, professional societies, and nations to have access to trustworthy data, that are locally generated, upon which to base quality improvement initiatives. It would seem that the global community might be at the beginning of such an era. We declare no competing interests Variability in mortality following caesarean delivery, appendectomy, and groin hernia repair in low-income and middle-income countries: a systematic review and analysis of published dataAll-cause postoperative mortality rates are exceedingly variable within resource-constrained environments. Efforts to expand surgical access and provision of services must include a strong commitment to improve the safety and quality of care. Full-Text PDF Open Access

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.026
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.084
GPT teacher head0.401
Teacher spread0.317 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations8
Published2016
Admission routes1
Has abstractyes

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