Publications by authors named "Martin Gerdin"

Objectives: To investigate the association between choice of treatment and patients' income after cruciate ligament (CL) injury and assess the effect of different covariates such as sex, age, comorbidities and type of work.

Methods: This entire-population cohort study in Sweden included working patients with a diagnosed CL injury between 2002 and 2005, identified in The National Swedish Patient Register (n = 13,662). The exposure was the treatment choice (operative or non-operative treatment).

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Critical illness is any immediately life-threatening disease or trauma and results in several million deaths globally every year. Responsive hospital systems for managing critical illness include quick and accurate identification of the critically ill patients. Prognostic prediction models are widely used for this aim.

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Background: In most low- and middle-income countries (LMICs), the resources to accurately quantify injury severity using traditional injury scoring systems are limited. Novel injury scoring systems appear to have adequate discrimination for mortality in LMIC contexts, but they have not been rigorously compared where traditional injury scores can be accurately calculated. To determine whether novel injury scoring systems perform as well as traditional ones in a HIC with complete and comprehensive data collection.

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Background: Humanitarian assistance is designated to save lives and alleviate suffering among people affected by disasters. In 2014, close to 25 billion USD was allocated to humanitarian assistance, more than 80% of it from governmental donors and EU institutions. Most of these funds are devoted to Complex Emergencies (CE).

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Introduction: Over a quarter of the world's trauma deaths occur in India, with traumatic brain injury (TBI) as the leading cause of death and disability within trauma. With little known about TBI in India, we set out to do a systematic review to characterize the quantitative literature on TBI in India.

Materials And Methods: The following databases were searched from their inception to December 31, 2015: PubMed, Cochrane, Web of Science, and the World Health Organization's Global Health Library, using the keywords: neurotrauma, brain injury, traumatic brain injury, TBI, head injury, and India.

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Introduction: In the Lower-Middle Income Country setting, we validate trauma severity scoring systems, namely Injury Severity Score (ISS), New Injury Severity Scale (NISS) score, the Kampala Trauma Score (KTS), Revised Trauma Score (RTS) score and the TRauma Injury Severity Score (TRISS) using Indian trauma patients.

Patients And Methods: From 1 September 2013 to 28 February 2015, we conducted a prospective multi-centre observational cohort study of trauma patients in four Indian university hospitals, in three megacities, Kolkata, Mumbai and Delhi. All adult patients presenting to the casualty department with a history of injury and who were admitted to inpatient care were included.

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Introduction: In India, half of the annual 200,000 road traffic deaths occur in hospitals, but the exact in-hospital trauma mortality rate remains unknown. A research consortium of universities, with a mandate to reduce trauma mortality, measured the baseline 30-day in-hospital mortality rate.

Methods: Between September 2013 and February 2015, trained data collectors collected on-admission demographic, physiological vital signs, and health service performance indicators (time of injury to admission, investigation, or intervention) on all patients with traumatic injuries admitted to four public university hospitals in three Indian megacities.

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Background: Trauma is one of the top threats to population health globally. Several prediction models have been developed to supplement clinical judgment in trauma care. Whereas most models have been developed in high-income countries the majority of trauma deaths occur in low- and middle-income countries.

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Objective: We evaluated the transferability of prediction models between trauma care contexts in India and the United States and explored updating methods to adjust such models for new contexts.

Study Design And Settings: Using a combination of prospective cohort and registry data from 3,728 patients of Towards Improved Trauma Care Outcomes in India (TITCO) and from 18,756 patients of the US National Trauma Data Bank (NTDB), we derived models in one context and validated them in the other, assessing them for discrimination and calibration using systolic blood pressure, heart rate, and Glasgow coma scale as candidate predictors.

Results: Early mortality was 8% in the TITCO and 1-2% in the NTDB samples.

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Background: A common framework to assess delays in health-care in countries with low-income and middle-income (LMICs) defines three time periods that add to the interval between onset of symptoms and treatment; the time it takes to receive care after hospital arrival is known as the third delay. Tertiary centres in LMICs are known to be overcrowded and under-capacity, but few studies have formally assessed the third delay. This study aims to quantify the third delay in LMIC tertiary centres and identify contributing factors at the facility level.

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Background: The indirect effects of the Ebola epidemic on health service function may be significant but is not known. The aim of this study was to quantify to what extent admission rates and surgery has changed at health facilities providing such care in Sierra Leone during the time of the Ebola epidemic.

Methods: Weekly data on facility inpatient admissions and surgery from admission and surgical theatre register books were retrospectively retrieved during September and October.

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Background: In India alone, more than one million people die yearly due to trauma. Identification of patients at risk of early mortality is crucial to guide clinical management and explain prognosis. Prediction models can support clinical judgement, but existing models have methodological limitations.

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Disasters of physical origin, including earthquakes, floods, landslides, tidal waves, tropical storms, tsunamis, and volcanic eruptions, have affected millions of people globally over the past 100 years. Proportionately, there is far greater likelihood of being affected by such disasters in low-income countries than in high-income countries. Furthermore, low-income countries are in need of international assistance following disasters more often than high-income countries.

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Background: The burden of cleft lip and palate (CLP) in the developing world is being tackled by local hospitals and international surgical missions. However, the unmet surgical burden of these conditions is not known, because there are few population-based studies. We conducted this study to find the incidence and prevalence of cleft lip (CL), cleft palate (CP), and CLP and also estimate the unmet burden of these conditions.

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Martin Gerdin and colleagues argue that disaster health interventions and decision-making can benefit from an evidence-based approach Please see later in the article for the Editors' Summary.

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Background: Traumatic injury causes more than five million deaths each year of which about 90% occur in low- and middle-income countries (LMIC). Hospital trauma mortality has been significantly reduced in high-income countries, but to what extent similar results have been achieved in LMIC has not been studied in detail. Here, we assessed if early hospital mortality in patients with trauma has changed over time in an urban lower middle-income setting.

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Background: Research on healthcare delivery in zones of conflict requires sustained and systematic attention. In the context of the South Asian region, there has been an absence of research on the vulnerabilities of health care workers and institutions in areas affected by armed conflict. The paper presents a case study of the varied nature of security challenges faced by local healthcare providers in the state of Manipur in the North-eastern region of India, located in the Indo-Myanmar frontier region which has been experiencing armed violence and civil strife since the late 1960s.

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Introduction: Earthquakes are the most violent type of natural disasters and injuries are the dominant medical problem in the early phases after earthquakes. However, likely because of poor data availability, high-quality research on injuries after earthquakes is lacking. Length of hospital stay (LOS) has been validated as a proxy indicator for injury severity in high-income settings and could potentially be used in retrospective research of injuries after earthquakes.

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The number of reported natural disasters is increasing, as is the number of foreign medical teams (FMTs) sent to provide relief. Studies show that FMTs are not coordinated, nor are they adapted to the medical needs of victims. Another key challenge to the response has been the lack of common terminologies, definitions, and frameworks for FMTs following disasters.

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Objective: To assess the timing and activities of foreign field hospitals (FFH) deployed during the first month after the Haiti earthquake and to evaluate adherence to WHO/Pan American Health Organization (PAHO) guidelines. Results were compared with data from past sudden-onset disasters.

Methods: A systematic attempt was made to contact all relief actors within the health care sector involved in the 12 January through 12 February 2010 FFH deployment.

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