17 research outputs found

    Global access to surgical care: a modelling study

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    Background More than 2 billion people are unable to receive surgical care based on operating theatre density alone. The vision of the Lancet Commission on Global Surgery is universal access to safe, aff ordable surgical and anaesthesia care when needed. We aimed to estimate the number of individuals worldwide without access to surgical services as defi ned by the Commission’s vision. Methods We modelled access to surgical services in 196 countries with respect to four dimensions: timeliness, surgical capacity, safety, and aff ordability. We built a chance tree for each country to model the probability of surgical access with respect to each dimension, and from this we constructed a statistical model to estimate the proportion of the population in each country that does not have access to surgical services. We accounted for uncertainty with oneway sensitivity analyses, multiple imputation for missing data, and probabilistic sensitivity analysis. Findings At least 4·8 billion people (95% posterior credible interval 4·6–5·0 [67%, 64–70]) of the world’s population do not have access to surgery. The proportion of the population without access varied widely when stratifi ed by epidemiological region: greater than 95% of the population in south Asia and central, eastern, and western sub- Saharan Africa do not have access to care, whereas less than 5% of the population in Australasia, high-income North America, and western Europe lack access. Interpretation Most of the world’s population does not have access to surgical care, and access is inequitably distributed. The near absence of access in many low-income and middle-income countries represents a crisis, and as the global health community continues to support the advancement of universal health coverage, increasing access to surgical services will play a central role in ensuring health care for all

    Net deaths and DALYs averted by income group.

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    <p>Net deaths are deaths averted if injury mortality rates for each country were to match overall injury mortality rates in HICs (). Net DALYs are reported without discounting or age weighting (<i>Net DALYs [</i>0,0,0]), and with discounting of 3% and age weighting with a peak at 25 years, or β = 0.04 (<i>NetDALYs</i> [3,1,β]). The ranges of reported estimates are from the results of methods 1 and 2 in calculating net DALYs (see Methods). Net DALY values without an asterisk represent DALYs averted if injury mortality rates for each country were to match overall injury mortality rates in HICs in each age group (method 1, ). The values with an asterisk (*) represent DALYs averted if injury mortality and disability matched those of HICs method 2, ).</p

    Use and definitions of perioperative mortality rates in low-income and middle-income countries : a systematic review

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    BACKGROUND: Aggregate and risk-stratified perioperative mortality rates (POMR) are well-documented in high-income countries where surgical databases are common. In many low-income and middle-income country (LMIC) settings, such data are unavailable, compromising efforts to understand and improve surgical outcomes. We undertook a systematic review to determine how POMR is used and defined in LMICs and to inform baseline rates.METHODS: We searched PubMed for all articles published between Jan 1, 2009, and Sept 1, 2014, reporting surgical mortality in LMICs. Search criteria, inclusion and exclusion criteria, and study assessment methodology are reported in the appendix. Titles and abstracts were screened independently by two reviewers. Full-text review and data extraction were completed by four trained clinician coders with regular validation for consistency. We extracted the definition of POMR used, clinical risk scores reported, and strategies for risk adjustment in addition to reported mortality rates.FINDINGS: We screened 2657 abstracts and included 373 full-text articles. 493 409 patients in 68 countries and 12 surgical specialties were represented. The most common definition for the numerator of POMR was in-hospital deaths following surgery (55·3%) and for the denominator it was the number of operative patients (96·2%). Few studies reported preoperative comorbidities (41·8%), ASA status (11·3%), and HIV status (7·8%), with a smaller proportion stratifying on or adjusting mortality for these factors. Studies reporting on planned procedures recorded a median mortality of 1·2% (n=121 [IQR 0·0-4·7]). Median mortality was 10·1% (n=182 [IQR 2·5-16·2) for emergent procedures.INTERPRETATION: POMR is frequently reported in LMICs, but a standardised approach for reporting and risk stratification is absent from the literature. There was wide variation in POMR across procedures and specialties. A quality assessment checklist for surgical mortality studies could improve mortality reporting and facilitate benchmarking across sites and countries.FUNDING: None

    Economic benefit of reducing injury mortality.

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    <p>Economic benefit is reported as a range. Economic benefit calculated by the human capital approach is reported without discounting or age weighting (0,0,0), and with discounting of 3% and age weighting to a peak at age 25 years, or β = 0.04 (3,1, β). The percentage of the total GNI for each income group is reported in parentheses below the range of estimates. Economic benefit calculated by the VSL approach is reported only with discounting of 3% and age weighting to a peak at two-thirds the standard life expectancy at birth, or β = 0.017 [3,1,].</p

    Percentage of total injury deaths by income level and injury type.

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    <p><b>A)</b> Percentage of total injury deaths by income level for each mechanism of injury. The mechanisms of injury are sorted on the x-axis from greatest-to-least by the percentage of deaths occurring in LMICs. <b>B)</b> Percentage of total injury deaths by injury type in each income group. The mechanisms of injury are sorted in the columns from greatest-to-least by the percentage of total deaths occurring worldwide.</p
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