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Research and Evaluations of the Health Aspects of Disasters, Part VII: The Relief/Recovery Framework

Published online by Cambridge University Press:  03 February 2016

Marvin L. Birnbaum*
Affiliation:
Emeritus Professor of Medicine and Physiology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin USA; Emeritus Editor-in-Chief, Prehospital and Disaster Medicine
Elaine K. Daily
Affiliation:
Nursing Section Editor, Prehospital and Disaster Medicine; Executive Secretary, World Association for Disaster and Emergency Medicine, Madison, Wisconsin USA
Ann P. O’Rourke
Affiliation:
Assistant Professor, Division of General Surgery, Department of Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin USA
*
Correspondence: Marvin L. Birnbaum, MD, PhD 610 N. Whitney Way, Suite 407 Madison, Wisconsin 53705 USA E-mail: mbirnbaum@wadem.org
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Abstract

The principal goal of research relative to disasters is to decrease the risk that a hazard will result in a disaster. Disaster studies pursue two distinct directions: (1) epidemiological (non-interventional); and (2) interventional. Both interventional and non-interventional studies require data/information obtained from assessments of function. Non-interventional studies examine the epidemiology of disasters. Interventional studies evaluate specific interventions/responses in terms of their effectiveness in meeting their respective objectives, their contribution to the overarching goal, other effects created, their respective costs, and the efficiency with which they achieved their objectives. The results of interventional studies should contribute to evidence that will be used to inform the decisions used to define standards of care and best practices for a given setting based on these standards. Interventional studies are based on the Disaster Logic Model (DLM) and are used to change or maintain levels of function (LOFs). Relief and Recovery interventional studies seek to determine the effects, outcomes, impacts, costs, and value of the intervention provided after the onset of a damaging event. The Relief/Recovery Framework provides the structure needed to systematically study the processes involved in providing relief or recovery interventions that result in a new LOF for a given Societal System and/or its component functions. It consists of the following transformational processes (steps): (1) identification of the functional state prior to the onset of the event (pre-event); (2) assessments of the current functional state; (3) comparison of the current functional state with the pre-event state and with the results of the last assessment; (4) needs identification; (5) strategic planning, including establishing the overall strategic goal(s), objectives, and priorities for interventions; (6) identification of options for interventions; (7) selection of the most appropriate intervention(s); (8) operational planning; (9) implementation of the intervention(s); (10) assessments of the effects and changes in LOFs resulting from the intervention(s); (11) determination of the costs of providing the intervention; (12) determination of the current functional status; (13) synthesis of the findings with current evidence to define the benefits and value of the intervention to the affected population; and (14) codification of the findings into new evidence. Each of these steps in the Framework is a production function that facilitates evaluation, and the outputs of the transformation process establish the current state for the next step in the process. The evidence obtained is integrated into augmenting the respective Response Capacities of a community-at-risk. The ultimate impact of enhanced Response Capacity is determined by studying the epidemiology of the next event.

Birnbaum ML, Daily EK, O’Rourke AP. Research and Evaluations of the Health Aspects of Disasters, Part VII: The Relief/Recovery Framework. Prehosp Disaster Med. 2016;31(2):195–210.

Information

Type
Special Reports
Copyright
© World Association for Disaster and Emergency Medicine 2016 
Figure 0

Figure VII-1 The Relief/Recovery Framework. Abbreviations: DLM, Disaster Logic Model; LOF, level of function. *Most recent assessment of LOF.

Figure 1

Table VII-1 Reporting the Intervention in the Peer-reviewed Literature

Figure 2

Figure VII-2 The Relief/Recovery Framework with Process Variables (Actions) in Italics. Abbreviations: DLM, Disaster Logic Model; LOF, level of function. *Most recent assessment of LOF.

Figure 3

Figure VII-3 Diagram Illustrating Processes Required to Reach the Next Progressive Step in the Relief-Recovery Framework. Part A is a section of the Relief/Recovery Framework from the detected changes in LOFs to the Strategic Plan with the respective process used to reach the next step in the Framework on the left (Needs Identification and Strategic Planning). Part B illustrates the transformation processes required to advance to the next steps in this section of the Framework. Each is an action/intervention that can be evaluated using the Disaster Logic Model. Abbreviation: LOF, level of function.

Figure 4

Figure VII-4 Assessments A1-An Transect the Temporal Framework at Designated Times. The intervention is implemented following Assessment 3 and is completed prior to Assessment 5. Levels of function assessed at A4, A5, A6, and An are compared with levels of function at A1 and A3.

Figure 5

Figure VII-5 Levels of Function as a Function of Available Goods, Services, and Other Resources. Below the critical threshold, the crude mortality rate increases. The respective LOFs decline progressively as functional damage increases. As available resources are augmented during recovery, the LOFs return towards their respective pre-event LOFs. Abbreviations: CMR, crude mortality rate; LOF, level of function.

Figure 6

Figure VII-6 Production Functions Linking Steps in the Relief/Recovery Framework. Noting that the steps in the Framework require assessment of changes in levels of functions due to functional damage that compromise available resources and that recovery of available goods, services, and other resources must be transformed into functions. Each process is open to evaluations using the Disaster Logic Model.