During a disaster, comprehensive, accurate, timely, and standardized health data collection is needed to improve patient care and support effective responses. In 2017, the World Health Organization (WHO) developed the Emergency Medical Team (EMT) Minimum Data Set (MDS) as an international standard for data collection in the context of disasters and public health emergencies. The EMT MDS was formally activated for the first time in 2019 during the response to Cyclone Idai in Mozambique.

The aim of this study was to analyze data collected through the EMT MDS during Cyclone Idai of 2019 and to identify the benefits of and opportunities for its future use.

The EMT MDS was used for data collection. All 13 international EMTs deployed from March 27 through July 12 reported data in accordance with the EMT MDS form. The collected data were analyzed descriptively.

A total of 18,468 consultations, including delivery of 94 live births, were recorded. For children under-five and those five-years and older, the top five reasons for consultation were minor injuries (4.5% and 10.8%, respectively), acute respiratory infections ([ARI] 12.6% and 4.8%, respectively), acute watery diarrhea (18.7% and 7.7%, respectively), malaria (9.2% and 6.1%, respectively), and skin diseases (5.1% and 3.1%, respectively). Non-disaster-related health events accounted for 84.7% of the total health problems recorded. Obstetric care was among the core services provided by EMTs during the response.

Despite of challenges, the EMT MDS reporting system was found to support the responses and coordination of EMTs. The role of the Mozambican Ministry of Health (MOH), its cooperation with EMTs, and the dedicated technical support of international organizations enabled its successful implementation.

The prime aim of Project for Strengthening the ASEAN Regional Capacity on Disaster Health Management (ARCH Project) is to strengthen the disaster health management (DHM) capacity in the context of personal level, Emergency Medical Team (EMT), and the regional collaboration. The ARCH Project was implemented with reference to international trends of DHM and seeks to contribute to the development of global standards.

The project established the Project Working Groups that consisted of representatives of ASEAN Member States (AMS) to develop standard operating procedures (SOP) for international EMT (I-EMT) coordination. Furthermore, it aimed to organize training sessions along with implementation of the regional collaboration drill (RCD) in accordance with I-EMT minimum requirements and in line with coordination standards set by the WHO.

The ARCH Project developed the SOP and common platform for I-EMT coordination, organized training, and conducted RCDs with reference to the WHO’s EMT initiative. Furthermore, it also contributed to the development of the EMT Minimum Data Set (MDS), an international standard DHM tool that underwent testing at the RCDs before the WHO endorsement and its utilization in actual disaster response.

In the process of strengthening ASEAN regional capacity in DHM, the project is constantly capturing international trends and also making significant contributions in the development of global systems and tools.

The Project for Strengthening the ASEAN Regional Capacity on Disaster Health Management (ARCH Project) developed Regional Collaboration Drills (RCDs) and is proposing an ASEAN Academic Network to strengthen capacity in disaster health management (DHM) in ASEAN Member States (AMS), as well as developing a standard training curriculum in DHM. This study aims to clarify the impacts and sustainability of the ARCH Project.

The four previous RCDs and the enhancement of academic activities were reviewed.

The ARCH Project developed the RCDs with simulation exercises based on possible disaster scenarios in each host country to test and validate the capacity of AMS International Emergency Medical Teams (I-EMTs), the Standard Operating Procedure (SOP) for I-EMT coordination, and regional tools, as well as the relevant domestic SOPs of the host countries for receiving international assistance. Following the RCD in Thailand, three AMS: Viet Nam, Philippines, and Indonesia, all of which are considered disaster-prone, successfully hosted RCDs with significant improvements. The project also established a sub-working group (SWG) to develop a standard curriculum in DHM. Two curricula developments, the Basic Course on DHM and In-Country Course for Coordination on EMTs, are on-going as part of the project activity. The establishment of the ASEAN Academic Network and the ASEAN Institute for DHM (AIDHM) are currently in the endorsement process of the ASEAN health sector.

The RCDs are very effective to test and to validate the SOP and regional tools developed, providing opportunities for AMS I-EMT to familiarize the tools, as well as for host countries to assess their coordination capacity for receiving international assistance and identifying the country’s specific challenges, and verifying ASEAN regional coordination mechanism. The development of the standard curriculum can enhance regional capacity both in supporting disaster-affected countries and in receiving international assistance. A sustainable capacity development mechanism in DHM is envisaged through the establishment of the ASEAN Academic Network and AIDHM toward the goal of One ASEAN One Response.

This report tries to capture the impact of the Project for Strengthening the ASEAN Regional Capacity on Disaster Health Management (ARCH Project) in each ASEAN Member State (AMS) and Japan as a result of the ARCH Project implementation since July 2016.

Impact on AMS: The analysis of the impact on AMS was based on a comparison of the impact of the project on management and coordination of Emergency Medical Teams (EMTs), and application of the project outcome in actual emergency operations compared to the previous status in each AMS.

Impact on Japan: The history of the development of disaster medicine in Japan was reviewed, with an aim to analyze the impact of supporting AMS through the ARCH Project on Japan, and the possibility of bi-directional cooperation in the future.

Impact on AMS: Since the initiation of the ARCH Project, AMS has made significant progress in WHO EMT accreditation, strengthening EMTCC capacity for receiving international assistance, as well as the development of legislation or strategic plans related to DHM, and application of the Project products such as standard operating procedures or regional tools in actual disasters/emergencies.

Impact on Japan: Disaster medicine in Japan originated from the Cambodian refugees’ relief mission in 1979. Since then, the management system has been strengthened including the foundation of the Japan Disaster Relief (JDR) Team, a structure with a legal foundation. The experience gained through international operations has contributed to the development of Japan’s domestic disaster response system. Japan learned the operational effectiveness of the post-disaster health surveillance system through the disaster response operation in 2013 Typhoon Yolanda Disaster in Philippines and introduced a modified system in Japan for domestic disaster response, which was later refined and proposed for an international standard.

ARCH Project is highly appreciated by AMS as the opportunity to share knowledge and experience among countries and thereby contributing to achieving the “One ASEAN, One Response” concept, as well as the driving force for each AMS to develop its capacity in DHM. While the ARCH Project started to support AMS to strengthen its regional capacity in disaster health management, it is important to build a bi-directional relationship between ASEAN and Japan in terms of mutual learning and support to tackle future disasters.

Southeast Asia is the second biggest region in the world in terms of the total number of natural disasters since 1900. Therefore, the Association of Southeast Asian Nations (ASEAN) initiated regional challenges toward strengthening regional collaboration for disaster prevention and response since the earthquake of Sumatra in Indonesia occurred in 2004. Moreover, ASEAN Leaders signed “the ASEAN Declaration on One ASEAN, One Response” in 2016. Under these circumstances, ASEAN decided to implement the Project for Strengthening the ASEAN Regional Capacity on Disaster Health Management (ARCH Project).

The objective of the ARCH Project is to strengthen coordination on disaster health management (DHM) for rapid and effective response to disasters occurring in the ASEAN region and to enhance the capacity of each ASEAN Member State (AMS) on DHM. This article aims to overview the outline and its strategy, and review the progress of the project.

ARCH Project is an ASEAN official project supported by Japan’s official development assistance. Five outputs were launched for: (1) coordination platform on DHM; (2) framework of regional collaboration practices; (3) tools for effective regional collaboration; (4) enhancement of academic network on DHM; and (5) capacity development activities for each AMS. The Project was reviewed in terms of accomplishment and evaluation criteria.

Regional Coordination Committee on DHM was established as a coordination platform to: Oversee the implementation of the ARCH Project for the Output 1; Regional Collaboration Drill was developed and conducted for the Output 2; The standard operating procedure for coordination of emergency medical teams (EMTs) in ASEAN was developed for the Output 3; Various presentations on ARCH were made in academic conferences for the Output 4; and Several training programs and educational curricula were developed for the Output 5. The Project has accomplished its Project Purpose and satisfied all the indicators set. ARCH Project has high Relevance, Impact, Sustainability, and Effectiveness, while some improvements in Efficiency are needed.

ARCH Project is the first-ever successful regional cooperation mechanism and standardization of DHM in ASEAN, one of the most disaster-prone regions. It also contributes to the capacity building of AMS. The ARCH Project has a remarkable impact on the resilience and flexible medical response to disasters, although continuous efforts of stakeholders to make this initiative sustainable are necessary.

Mass gatherings (MGs) grow in frequency around the world. With the intrinsic potential for significant health risks for all involved, MGs pose a challenge for those responsible for the provision of on-site medical care. Belgian law obliges local governments to identify and analyze the risks involving a MG. Though medical risk factors are long known, all too often, resourcing for in-event health services is based on anecdotal and previous experiences.

Despite the fast-evolving science on MGs, the lack of reliable tools – based on empirical and analytical approaches – to predict patient presentation rates (PPRs) at MGs remains.

A two-step method was followed to develop, update, and support a Plan Risk Manifestation (PRIMA) program. First, a continuous systematic literature review was conducted. Once developed, the model was run using data obtained from Belgian Federal Public Service (FPS; Brussels, Belgium) Health, Food Chain Safety, and Environment (HFCSE); event organizers; and municipalities.

In total, 231 studies and documents were included to form the program. With the data provided, three variables were computed to run the calculation model to predict the PPR. Three medical risk axes were defined for this model: (1) isolation risk; (2) population risk; and (3) risk at illness. A combined dataset was derived from the prediction of the PRIMA program combined with the actual data obtained after the MG. This proved a solid basis for the calculation model of the PRIMA program.

Despite that validation is needed, the PRIMA program and its prediction model for PPRs at MGs carries the promise of a general, applicable prediction and risk analysis tool for a multitude of events.

This review discusses the need for consistency in mass-gathering research and evaluation from a psychosocial perspective.

Mass gatherings occur frequently throughout the world. Having an understanding of the complexities of mass gatherings is important to determine required health resources. Factors within the environmental, psychosocial, and biomedical domains influence the usage of health services at mass gatherings. A standardized approach to data collection is important to identify a consistent reporting standard for the psychosocial domain.

This research used an integrative literature review design. Manuscripts were collected using keyword searches from databases and journal content pages from 2003 through 2018. Data were analyzed and categorized using the existing minimum data set as a framework.

In total, 31 manuscripts met the inclusion criteria. The main variables identified were use of alcohol or drugs, crowd behavior, crowd mood, rationale, and length of stay.

Upon interrogating the literature, the authors have determined that the variables fall under the categories of alcohol or drugs; maladaptive and adaptive behaviors; crowd behavior, crowd culture, and crowd mood; reason for attending event (motivation); duration; and crowd demographics. In collecting psychosocial data from mass gatherings, an agreed-upon set of variables that can be used to collect de-identified psychosocial variables for the purpose of making comparisons across societies for mass-gathering events (MGEs) would be invaluable to researchers and event clinicians.

This paper discusses the need for consistency in mass-gathering research and evaluation from an environmental reporting perspective.

Mass gatherings occur frequently throughout the world. Having an understanding of the complexities of mass gatherings is important to inform health services about the possible required health resources. Factors within the environmental, psychosocial, and biomedical domains influence the usage of health services at mass gatherings. A minimum data set (MDS) has been proposed to standardize collection of biomedical data across various mass gatherings, and there is a need for an environmental component. The environmental domain includes factors such as the nature of the event, availability of drugs or alcohol, venue characteristics, and meteorological factors.

This research used an integrative literature review design. Manuscripts were collected using keyword searches from databases and journal content pages from 2003 through 2018. Data were analyzed and categorized using the existing MDS as a framework.

In total, 39 manuscripts were identified that met the inclusion criteria.

In collecting environmental data from mass gatherings, there must be an agreed-upon MDS. A set of variables can be used to collect de-identified environmental variables for the purpose of making comparisons across societies for mass-gathering events (MGEs).

Improving medical record keeping is a key part of the World Health Organization’s (WHO’s; Geneva, Switzerland) drive to standardize and evaluate emergency medical team (EMT) response to sudden onset disasters (SODs).

In response to the WHO initiative, the UK EMT is redeveloping its medical record template in line with the WHO minimum dataset (MDS) for daily reporting. When changing a medical record, it is important to understand how well it functions before it is implemented.

The redeveloped medical record was piloted at a UK EMT deployment course using simulated patients in order to examine ease of use by practitioners, and rates of data capture for key MDS variables.

Some parts of the form were consistently poorly filled in, and the way in which the form was completed suggested that the flow of the form did not align with the recorder’s natural thought processes when under pressure.

Piloting of a single-sheet triplicate medical record during an EMT deployment simulation led to significant modifications to improve data capture and function.

Jafar AJN, Fletcher RJ, Lecky F, Redmond AD. A pilot of a UK emergency medical team (EMT) medical record during a deployment training course. Prehosp Disaster Med. 2018;33(4):441–447.

Comprehensive studies on the relationship between patient demographics and subsequent treatment and disposition at a single mass-gathering event are lacking. The Sydney Royal Easter Show (SRES; Sydney Olympic Park, New South Wales, Australia) is an annual, 14-day, agricultural mass-gathering event occurring around the Easter weekend, attracting more than 800,000 patrons per year. In this study, patient records from the SRES were analyzed to examine relationships between weather, crowd size, day of week, and demographics on treatment and disposition. This information would help to predict factors affecting patient treatment and disposition to guide ongoing training of first responders and to evaluate the appropriateness of staffing skills mix at future events.

Patient demographics, environmental factors, and attendance would influence the nature and severity of presentations at the SRES, which would influence staffing requirements.

A retrospective analysis of 4,141 patient record forms was performed for patients who presented to St John Ambulance (Australian Capital Territory, Australia) at the SRES between 2012 and 2014 inclusive. Presentation type was classified using a previously published minimum data set. Data on weather and crowd size were obtained from the Australian Bureau of Meteorology (Melbourne, Victoria, Australia) and the SRES, respectively. Statistical analyses were performed using SPSS v22 (IBM; Armonk, New York USA).

Between 2012 to 2014, over 2.5 million people attended the SRES with 4,141 patients treated onsite. As expected, the majority of presentations were injuries (49%) and illnesses (46%). Although patient demographics and presentation types did not change over time, the duration of treatment increased. A higher proportion of patients were discharged to hospital or home compared to the proportion of patients discharged back to the event. Patients from rural/regional locations (accounting for 15% of all patients) were more likely to require advanced treatment, health professional review, and were more likely to be discharged to hospital or home rather than discharged back to the event. Extremes of temperature were associated with a lower crowd size and higher patient presentation rate (PPR), but had no impact on transfer or referral rates to hospital.

This study demonstrated that analyses of patient presentations at an agricultural show provide unique insights on weather, attendance, and demographic features that correlated with treatment and disposition. These data can help guide organizers with information on how to better staff and train health care providers at future mass-gathering events of this type.

CrabtreeN, MoS, OngL, JegatheesT, WeiD, FaheyD, LiuJ. Retrospective Analysis of Patient Presentations at the Sydney (Australia) Royal Easter Show from 2012 to 2014. Prehosp Disaster Med. 2017;32(2)187–194.

The science underpinning mass-gathering health (MGH) is developing rapidly. However, MGH terminology and concepts are not yet well defined or used consistently. These variations can complicate comparisons across settings. There is, therefore, a need to develop consensus and standardize concepts and data points to support the development of a robust MGH evidence-base for governments, event planners, responders, and researchers. This project explored the views and sought consensus of international MGH experts on previously published concepts around MGH to inform the development of a transnational minimum data set (MDS) with an accompanying data dictionary (DD).

A two-round Delphi process was undertaken involving volunteers from the World Health Organization (WHO) Virtual Interdisciplinary Advisory Group (VIAG) on Mass Gatherings (MGs) and the MG section of the World Association for Disaster and Emergency Medicine (WADEM). The first online survey tested agreement on six key concepts: (1) using the term “MG HEALTH;” (2) purposes of the proposed MDS and DD; (3) event phases; (4) two MG population models; (5) a MGH conceptual diagram; and (6) a data matrix for organizing MGH data elements. Consensus was defined as ≥80% agreement. Round 2 presented five refined MGH principles based on Round 1 input that was analyzed using descriptive statistics and content analysis. Thirty-eight participants started Round 1 with 36 completing the survey and 24 (65% of 36) completing Round 2. Agreement was reached on: the term “MGH” (n=35/38; 92%); the stated purposes for the MDS (n=38/38; 100%); the two MG population models (n=31/36; 86% and n=30/36; 83%, respectively); and the event phases (n=34/36; 94%). Consensus was not achieved on the overall conceptual MGH diagram (n=25/37; 67%) and the proposed matrix to organize data elements (n=28/37; 77%). In Round 2, agreement was reached on all the proposed principles and revisions, except on the MGH diagram (n=18/24; 75%).

Event health stakeholders require sound data upon which to build a robust MGH evidence-base. The move towards standardization of data points and/or reporting items of interest will strengthen the development of such an evidence-base from which governments, researchers, clinicians, and event planners could benefit. There is substantial agreement on some broad concepts underlying MGH amongst an international group of MG experts. Refinement is needed regarding an overall conceptual diagram and proposed matrix for organizing data elements.

SteenkampM , HuttonAE , RanseJC , LundA , TurrisSA , BowlesR , ArbuthnottK , ArbonPA . Exploring International Views on Key Concepts for Mass-gathering Health through a Delphi Process. Prehosp Disaster Med. 2016;31(4):443–453.

Medical records are a tenet of good medical practice and provide one method of communicating individual follow-up arrangements, informing research data, and documenting medical intervention.

The objective of this review was to look at one source (the published literature) of medical records used by foreign medical teams (FMTs) in sudden onset disasters (SODs). The published literature was searched systematically for evidence of what medical records have been used by FMTs in SODs.

The style and content of medical records kept by FMTs in SODs varied widely according to the published literature. Similarly, there was great variability in practice as to what happens to the record and/or the data from the record following its use during a patient encounter. However, there was a paucity of published work comprehensively detailing the exact content of records used.

Without standardization of the content of medical records kept by FMTs in SODs, it is difficult to ensure robust follow-up arrangements are documented. This may hinder communication between different FMTs and local medical teams (LMTs)/other FMTs who may then need to provide follow-up care for an individual. Furthermore, without a standard method of reporting data, there is an inaccurate picture of the work carried out. Therefore, there is not a solid evidence base for improving the quality of future response to SODs. Further research targeting FMTs and LMTs directly is essential to inform any development of an internationally agreed minimum data set (MDS), for both recording and reporting, in order that FMTs can reach the World Health Organization (WHO) standards for FMT practice.

JafarAJN, NortonI, LeckyF, RedmondAD. A Literature Review of Medical Record Keeping by Foreign Medical Teams in Sudden Onset Disasters. Prehosp Disaster Med. 2015;30(2):1-7.

The science underpinning the study of mass-gathering health (MGH) is developing rapidly. Current knowledge fails to adequately inform the understanding of the science of mass gatherings (MGs) because of the lack of theory development and adequate conceptual analysis. Defining populations of interest in the context of MGs is required to permit meaningful comparison and meta-analysis between events.

A critique of existing definitions and descriptions of MGs was undertaken. Analyzing gaps in current knowledge, the authors sought to delineate the populations affected by MGs, employing a consensus approach to formulating a population model. The proposed conceptual model evolved through face-to-face group meetings, structured breakout sessions, asynchronous collaboration, and virtual international meetings.

Reporting on the incidence of health conditions at specific MGs, and comparing those rates between and across events, requires a common understanding of the denominators, or the total populations in question. There are many, nested populations to consider within a MG, such as the population of patients, the population of medical services providers, the population of attendees/audience/participants, the crew, contractors, staff, and volunteers, as well as the population of the host community affected by, but not necessarily attending, the event.

A pictorial representation of a basic population model was generated, followed by a more complex representation, capturing a global-health perspective, as well as academically- and operationally-relevant divisions in MG populations.

Consistent definitions of MG populations will support more rigorous data collection. This, in turn, will support meta-analysis and pooling of data sources internationally, creating a foundation for risk assessment as well as illness and injury prediction modeling. Ultimately, more rigorous data collection will support methodology for evaluating health promotion, harm reduction, and clinical-response interventions at MGs. Delineating MG populations progresses the current body of knowledge of MGs and informs the understanding of the full scope of their health effects.

LundA , TurrisSA , BowlesR , SteenkampM , HuttonA , RanseJ , ArbonP . Mass-gathering Health Research Foundational Theory: Part 1 - Population Models for Mass Gatherings. Prehosp Disaster Med. 2014;29(6):1-7.

Current knowledge about mass-gathering health (MGH) fails to adequately inform the understanding of mass gatherings (MGs) because of a relative lack of theory development and adequate conceptual analysis. This report describes the development of a series of event lenses that serve as a beginning “MG event model,” complimenting the “MG population model” reported elsewhere.

Existing descriptions of “MGs” were considered. Analyzing gaps in current knowledge, the authors sought to delineate the population of events being reported. Employing a consensus approach, the authors strove to capture the diversity, range, and scope of MG events, identifying common variables that might assist researchers in determining when events are similar and might be compared. Through face-to-face group meetings, structured breakout sessions, asynchronous collaboration, and virtual international meetings, a conceptual approach to classifying and describing events evolved in an iterative fashion.

Embedded within existing literature are a variety of approaches to event classification and description. Arising from these approaches, the authors discuss the interplay between event demographics, event dynamics, and event design. Specifically, the report details current understandings about event types, geography, scale, temporality, crowd dynamics, medical support, protective factors, and special hazards. A series of tables are presented to model the different analytic lenses that might be employed in understanding the context of MG events.

The development of an event model addresses a gap in the current body of knowledge vis a vis understanding and reporting the full scope of the health effects related to MGs. Consistent use of a consensus-based event model will support more rigorous data collection. This in turn will support meta-analysis, create a foundation for risk assessment, allow for the pooling of data for illness and injury prediction, and support methodology for evaluating health promotion, harm reduction, and clinical response interventions at MGs.

TurrisSA , LundA , HuttonA , BowlesR , EllersonE , SteenkampM , RanseJ , ArbonP . Mass-gathering Health Research Foundational Theory: Part 2 - Event Modeling for Mass Gatherings. Prehosp Disaster Med. 2014;29(6):1-9.

In 2012, a minimum data set (MDS) was proposed to enable the standardized collection of biomedical data across various mass gatherings. However, the existing 2012 MDS could be enhanced to allow for its uptake and usability in the international context. The 2012 MDS is arguably Australian-centric and not substantially informed by the literature. As such, an MDS with contributions from the literature and application in the international settings is required.

This research used an integrative literature review design. Manuscripts were collected using keyword searches from databases and journal content pages from 2003 through 2013. Data were analyzed and categorized using the existing 2012 MDS as a framework.

In total, 19 manuscripts were identified that met the inclusion criteria. Variation in the patient presentation types was described in the literature from the mass-gathering papers reviewed. Patient presentation types identified in the literature review were compared to the 2012 MDS. As a result, 16 high-level patient presentation types were identified that were not included in the 2012 MDS.

Adding patient presentation types to the 2012 MDS ensures that the collection of biomedical data for mass-gathering health research and evaluation remains contemporary and comprehensive. This review proposes the addition of 16 high-level patient presentation categories to the 2012 MDS in the following broad areas: gastrointestinal, obstetrics and gynecology, minor illness, mental health, and patient outcomes. Additionally, a section for self-treatment has been added, which was previously not included in the 2012 MDS, but was widely reported in the literature.

RanseJ , HuttonA , TurrisSA , LundA . Enhancing the Minimum Data Set for Mass-Gathering Research and Evaluation: An Integrative Literature Review. Prehosp Disaster Med. 2014;29(3):1-10.