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- Alga, A, et al.
(författare)
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Hope for the Best, Prepare for the Worst-An Assessment of Flood Preparedness at Primary Health Care Facilities in Central Vietnam
- 2018
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Ingår i: International journal of environmental research and public health. - : MDPI AG. - 1660-4601. ; 15:12
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Tidskriftsartikel (refereegranskat)abstract
- Background: Floods affect over 85 million people every year and are one of the deadliest types of natural disasters. The health effects of floods are partly due to a loss of access to health care. This loss can be limited with proper flood preparedness. Flood preparedness is especially needed at the primary health care (PHC) level. Flood preparedness assessments can be used to identify vulnerable facilities and help target efforts. The existing research on PHC flood preparedness is limited. We aimed to assess the flood preparedness of PHC facilities in a flood-prone province in central Vietnam. Methods: Based on flood experience, the PHC facilities in the province were grouped as “severe” (n = 23) or “non-severe” (n = 129). Assessments were conducted during monsoon season at five facilities from each group, using a pre-tested, semi-structured questionnaire. Data were checked against official records when possible. Results: Nine of the ten facilities had a flood plan and four received regular flood preparedness training. Six facilities reported insufficient preparedness support. Half of the facilities had additional funding available for flood preparedness, or in case of a flood. Flood preparedness training had been received by 21/28 (75%) of the staff at the facilities with severe flood experience, versus 15/25 (52%) of the staff at the non-severe experience facilities. Conclusions: Our results suggest that the assessed PHC facilities were not sufficiently prepared for the expected floods during monsoon season. PHC flood preparedness assessments could be used to identify vulnerable facilities and populations in flood-prone areas. More research is needed to further develop and test the validity and reliability of the questionnaire.
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- Daebes, HL, et al.
(författare)
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Association between triage level and outcomes at Médecins Sans Frontières trauma hospital in Kunduz, Afghanistan, 2015
- 2021
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Ingår i: Emergency medicine journal : EMJ. - : BMJ. - 1472-0213 .- 1472-0205. ; 39:8, s. 628-633
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Tidskriftsartikel (refereegranskat)abstract
- Five million people die annually due to injuries; an increasing part is due to armed conflict in low-income and middle-income countries, demanding resolute emergency trauma care. In Afghanistan, a low-income country that has experienced conflict for over 35 years, conflict related trauma is a significant public health problem. To address this, the non-governmental organisation Médecins Sans Frontières (MSF) set up a trauma centre in Kunduz (Kunduz Trauma Centre (KTC)). MSF’s standardised emergency operating procedures include the South African Triage Scale (SATS). To date, there are few studies that assess how triage levels correspond with outcome in low-resource conflict settingsAimThis study aims to assess to what extent SATS triage levels correlated to outcomes in terms of hospital admission, intensive care unit (ICU) admission and mortality for patients treated at KTC.Method and materialsThis retrospective study used routinely collected data from KTC registries. A total of 17 970 patients were included. The outcomes were hospital admission, ICU admission and mortality. The explanatory variable was triage level. Covariates including age, gender and delay to arrival were used. Logistic regression was used to study the correlation between triage level and outcomes.ResultsOut of all patients seeking care, 28.7% were triaged as red or orange. The overall mortality was 0.6%. In total, 90% of those that died and 79% of ICU-admitted patients were triaged as red.ConclusionThe risk of positive and negative outcomes correlated with triage level. None of the patients triaged as green died or were admitted to the ICU whereas 90% of patients who died were triaged as red.
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- Drevin, G, et al.
(författare)
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"For this one, let me take the risk": why surgical staff continued to perform caesarean sections during the 2014-2016 Ebola epidemic in Sierra Leone
- 2019
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Ingår i: BMJ global health. - : BMJ. - 2059-7908. ; 4:4, s. e001361-
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Tidskriftsartikel (refereegranskat)abstract
- Routine health service provision decreased during the 2014–2016 Ebola virus disease (EVD) outbreak in Sierra Leone, while caesarean section (CS) rates at public hospitals did not. It is unknown what made staff provide CS despite the risks of contracting EVD. This study explores Sierra Leonean health worker perspectives of why they continued to provide CS.MethodsThis qualitative study documents the experiences of 15 CS providers who worked during the EVD outbreak. We interviewed surgical and non-surgical CS providers who worked at public hospitals that either increased or decreased CS volumes during the outbreak. Hospitals in all four administrative areas of Sierra Leone were included. Semistructured interviews averaged 97 min and healthcare experience 21 years. Transcripts were analysed by modified framework analysis in the NVivo V.11.4.1 software.ResultsWe identified two themes that may explain why providers performed CS despite EVD risks: (1) clinical adaptability and (2) overcoming the moral dilemmas. CS providers reported being overworked and exposed to infection hazards. However, they developed clinical workarounds to the lack of surgical materials, protective equipment and standard operating procedures until the broader international response introduced formal personal protective equipment and infection prevention and control practices. CS providers reported that dutifulness and sense of responsibility for one’s community increased during EVD, which helped them justify taking the risk of being infected. Although most surgical activities were reduced to minimise staff exposure to EVD, staff at public hospitals tended to prioritise performing CS surgery for women with acute obstetric complications.ConclusionThis study found that CS surgery during EVD in Sierra Leone may be explained by remarkable decisions by individual CS providers at public hospitals. They adapted practically to material limitations exacerbated by the outbreak and overcame the moral dilemmas of performing CS despite the risk of being infected with EVD.
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| 37. |
- Ekstrom, AM, et al.
(författare)
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Hans Rosling Obituary
- 2017
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Ingår i: EUROPEAN JOURNAL OF PUBLIC HEALTH. - 1101-1262. ; 27:2, s. 387-387
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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- Fridell, M, et al.
(författare)
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Health System Resilience: What Are We Talking About? A Scoping Review Mapping Characteristics and Keywords
- 2020
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Ingår i: International journal of health policy and management. - : Maad Rayan Publishing Company. - 2322-5939. ; 9:1, s. 6-16
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Tidskriftsartikel (refereegranskat)abstract
- Background: Health systems are based on 6 functions that need to work together at all times to effectively deliver safe and quality health services. These functions are vulnerable to shocks and changes; if a health system is unable to withstand the pressure from a shock, it may cease to function or collapse. The concept of resilience has been introduced with the goal of strengthening health systems to avoid disruption or collapse. The concept is new within health systems research, and no common description exists to describe its meaning. The aim of this study is to summarize and characterize the existing descriptions of health system resilience to improve understanding of the concept. Methods and Analysis: A scoping review was undertaken to identify the descriptions and characteristics of health system resilience. Four databases and gray literature were searched using the keywords "health system" and "resilience" for published documents that included descriptions, frameworks or characteristics of health system resilience. Additional documents were identified from reference lists. Four expert consultations were conducted to gain a broader perspective. Descriptions were analysed by studying the frequency of key terms and were characterized by using the World Health Organization (WHO) health system framework. The scoping review identified eleven sources with descriptions and 24 sources that presented characteristics of health system resilience. Frequently used terms that were identified in the literature were shock, adapt, maintain, absorb and respond. Change and learning were also identified when combining the findings from the descriptions, characteristics and expert consultations. Leadership and governance were recognized as the most important building block for creating health system resilience. Discussion: No single description of health system resilience was used consistently. A variation was observed on how resilience is described and to what depth it was explained in the existing literature. The descriptions of health system resilience primarily focus on major shocks. Adjustments to long-term changes and the element of learning should be considered for a better understating of health system resilience.
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- Gerdin, M., et al.
(författare)
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Early Hospital Mortality among Adult Trauma Patients Significantly Declined between 1998-2011: Three Single-Centre Cohorts from Mumbai, India
- 2014
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Ingår i: Plos One. - : Public Library of Science (PLoS). - 1932-6203. ; 9:3
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Tidskriftsartikel (refereegranskat)abstract
- 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. Methods: We conducted a retrospective study of patients admitted due to trauma in 1998, 2002, and 2011 to a large public hospital in Mumbai, India. Our outcome measure was early hospital mortality, defined as death between admission and 24-hours. We used multivariate logistic regression to assess the association between time and early hospital mortality, adjusting for patient case-mix. Injury severity was quantified using International Classification of Diseases-derived Injury Severity Score (ICISS). Major trauma was defined as ICISS, 0.90. Results: We analysed data on 4189 patients out of which 86.5% were males. A majority of patients were between 15 and 55 years old and 36.5% had major trauma. Overall early hospital mortality was 8.9% in 1998, 6.0% in 2002, and 8.1% in 2011. Among major trauma patients, early hospital mortality was 13.4%, in 1998, 11.3% in 2002, and 10.9% in 2011. Compared to trauma patients admitted in 1998, those admitted in 2011 had lower odds for early hospital mortality (OR = 0.56, 95% CI = 0.41-0.76) including those with major trauma (OR = 0.57, 95% CI = 0.41-0.78). Conclusions: We observed a significant reduction in early hospital mortality among patients with major trauma between 1998 and 2011. Improved survival was evident only after we adjusted for patient case-mix. This finding highlights the importance of risk-adjustment when studying longitudinal mortality trends.
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| 47. |
- Gerdin, M., et al.
(författare)
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Predicting Early Mortality in Adult Trauma Patients Admitted to Three Public University Hospitals in Urban India: A Prospective Multicentre Cohort Study
- 2014
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Ingår i: Plos One. - : Public Library of Science (PLoS). - 1932-6203. ; 9:9
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Tidskriftsartikel (refereegranskat)abstract
- 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. The aim of this study was to derive a vital sign based prediction model for early mortality among adult trauma patients admitted to three public university hospitals in urban India. Methods: We conducted a prospective cohort study of adult trauma patients admitted to three urban university hospitals in India between October 2013 and January 2014. The outcome measure was mortality within 24 hours. We used logistic regression with restricted cubic splines to derive our model. We assessed model performance in terms of discrimination, calibration, and optimism. Results: A total of 1629 patients were included. Median age was 35, 80% were males. Mortality between admission and 24 hours was 6%. Our final model included systolic blood pressure, heart rate, and Glasgow coma scale. Our model displayed good discrimination, with an area under the receiver operating characteristics curve (AUROCC) of 0.85. Predicted mortality corresponded well with observed mortality, indicating good calibration. Conclusion: This study showed that routinely recorded systolic blood pressure, heart rate, and Glasgow coma scale predicted early hospital mortality in trauma patients admitted to three public university hospitals in urban India. Our model needs to be externally validated before it can be applied in the clinical setting.
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| 49. |
- Gerdin, M., et al.
(författare)
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Traumatic transfers: calibration is adversely affected when prediction models are transferred between trauma care contexts in India and the United States
- 2016
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Ingår i: Journal of Clinical Epidemiology. - : Elsevier BV. - 0895-4356 .- 1878-5921. ; 74, s. 177-186
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Tidskriftsartikel (refereegranskat)abstract
- 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. Both models discriminated well, but the TITCO model overestimated the risk of mortality in NTDB patients, and the NTDB model underestimated the risk in TITCO patients. Conclusion: Transferability was good in terms of discrimination but poor in terms of calibration. It was possible to improve this mis-calibration by updating the models' intercept. This updating method could be used in samples with as few as 25 events.
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| 50. |
- Gerdin, M., et al.
(författare)
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Validation of a novel prediction model for early mortality in adult trauma patients in three public university hospitals in urban India
- 2016
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Ingår i: Bmc Emergency Medicine. - : Springer Science and Business Media LLC. - 1471-227X. ; 16
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Tidskriftsartikel (refereegranskat)abstract
- 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. Almost 20 % of all global trauma deaths occur in India alone. The aim of this study was to validate a basic clinical prediction model for use in urban Indian university hospitals, and to compare it with existing models for use in early trauma care. Methods: We conducted a prospective cohort study in three hospitals across urban India. The model we aimed to validate included systolic blood pressure and Glasgow coma scale. We compared this model with three additional models, which all have been designed for use in bedside trauma care, and two single variable models based on systolic blood pressure and Glasgow coma scale respectively. The outcome was early mortality, defined as death within 24 h from the time when vital signs were first measured. We compared the models in terms of discrimination, calibration, and potential clinical consequences using decision curve analysis. Multiple imputation was used to handle missing data. Performance measures are reported using their median and inter-quartile range (IQR) across imputed datasets. Results: We analysed 4440 patients, out of which 1629 were used as an updating sample and 2811 as a validation sample. We found no evidence that the basic model that included only systolic blood pressure and Glasgow coma scale had worse discrimination or potential clinical consequences compared to the other models. A model that also included heart had better calibration. For the model with systolic blood pressure and Glasgow coma scale the discrimination in terms of area under the receiver operating characteristics curve was 0.846 (IQR 0.841-0.849). Calibration measured by estimating a calibration slope was 1.183 (IQR 1.168-1.202). Decision curve analysis revealed that using this model could potentially result in 45 fewer unnecessary surveys per 100 patients. Conclusions: A basic clinical prediction model with only two parameters may prove to be a feasible alternative to more complex models in contexts such as the Indian public university hospitals studied here. We present a colour-coded chart to further simplify the decision making in early trauma care.
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