| Literature DB >> 23066408 |
Elena Savoia1, Foluso Agboola, Paul D Biddinger.
Abstract
Many public health and healthcare organizations use formal knowledge management practices to identify and disseminate the experiences gained over time. The "lessons-learned" approach is one such example of knowledge management practice applied to the wider concept of organizational learning. In the field of emergency preparedness, the lessons-learned approach stands on the assumption that learning from experience improves practice and minimizes avoidable deaths and negative economic and social consequences of disasters. In this project, we performed a structured review of AARs to analyze how lessons learned from the response to real-incidents may be used to maximize knowledge management and quality improvement practices such as the design of public health emergency preparedness (PHEP) exercises. We chose as a source of data the "Lessons Learned Information Sharing (LLIS.gov)" system, a joined program of the U.S. Department of Homeland Security DHS and FEMA that serves as the national, online repository of lessons learned, best practices, and innovative ideas. We identified recurring challenges reported by various states and local public health agencies in the response to different types of incidents. We also strove to identify the limitations of systematic learning that can be achieved due to existing weaknesses in the way AARs are developed.Entities:
Keywords: after action report (AAR); emergency preparedness; knowledge management; lessons learned; organizational learning
Mesh:
Year: 2012 PMID: 23066408 PMCID: PMC3447598 DOI: 10.3390/ijerph9082949
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Flowchart showing the AARs review process.
Analysis of themes and sub-themes for the capability of emergency public information and warning.
| Emergency Public Information and Warning(
| |
|---|---|
| Most frequent themes (
| Most frequent subthemes within each theme (
|
| Communication difficulties about the vaccine (15%) | ➢ Vaccine safety and rumor control (67%) |
| ➢ Vaccine distribution-including both quantities and timing of distribution (17%) | |
| ➢ Vaccine efficacy (11%) | |
| Difficulty in managing the helpline (14%) | ➢ Lack of staff available to cover the service (31%) |
| ➢ Lack of medical expertise (19%) | |
| ➢ Inadequate publicity of the helpline number (19%) | |
| ➢ Lack of a triage system to re-direct calls (especially those with specific medical content) (12%) | |
| ➢ Lack of clarity of when to activate and de-activate the service (12%) | |
| Obstacles in the process of releasing timing information (12%) | ➢ Agencies’ ability to process and release new information was complex and time consuming (50%) |
| Difficulty in developing appropriate client advertising of flu clinics (9%) | ➢Difficulty in predicting the timing and availability of vaccine and consequent frequent changes in the flu clinics’ schedules (45%) |
| Inconsistency of messages (8%) | No subtheme identified |
| Lack of activation of a Joint Information Center (JIC) (8%) | No subtheme identified |
* Number of statements referring to a specific theme over the number of statements identified for the selected capability.
**Number of statements referring to specific subtheme over the number of statements identified for the selected subtheme.
Analysis of themes and sub-themes for the capability of information sharing.
| Information Sharing (
| |
|---|---|
| Most frequent themes (
| Most frequent subthemes (
|
| Difficulty in sharing information with external partners (31%) | ➢ Lack of communication with health care providers and schools (39%) |
| ➢ Differences in terminology used by different organizations (<5%) | |
| ➢ Differing communication systems (<5%) | |
| ➢ Confusion about the role of public health within the response system (<5%) | |
| ➢ The existence of multiple, competing channels of communication (<5%) | |
| ➢ Inconsistency of messages (<5%) | |
| Lack of training in the use of technology (27%) | ➢ Lack of training in the use of specific communication systems for example, the Health Alert Network (HAN) program and Web-EOC (14%) |
| ➢ Problems with the use of more generic instruments of communication such as conference calling, radio systems and appropriate website design to facilitate dissemination of information across agencies (13%) | |
| Difficulty in tracking information (25%) | ➢ Information overload and redundancy (29%) |
| ➢ Excessively frequent changes in the information being produced (18%) | |
| ➢ Very lengthy situation reports (12%) | |
| Difficulty in sharing information across different groups within the same organization (15%) | ➢ Lack of clarity between daily job
|
| ➢ Unnecessary duplication of efforts and unclear staff notifications (<5%) | |
* Number of statements referring to a specific theme over the number of statements identified for the selected capability.
**Number of statements referring to specific subtheme over the number of statements identified for the selected subtheme.
Analysis of themes and sub-themes for the capability of emergency operation coordination (EOC).
| Emergency Operations Coordination (EOC) (
| |
|---|---|
| Most frequent themes (
| Most frequent subthemes (
|
| Confusion in roles and responsibilities within ICS (23%) | ➢ Confusion of job tasks and function among various response personnel (43%), |
| ➢ Poor depth of knowledge of individual response roles among response personnel (19%) | |
| ➢ Overlap in roles and responsibilities among various sections of the EOC (14%) | |
| ➢ Use of new staff for supervisory roles (10%) | |
| ➢ Switching of roles without coordination (7%) | |
| Poor familiarization and/or use of the Incident Command System (17%) | ➢ Training needs including leadership training (68%) |
| ➢ Systems’ lack of formal command structure (<5%) | |
| ➢ Lack of compliance and competence in filling out the required ICS forms (<5%) | |
| Difficulty in aggregating and utilizing situation reports (14%) | ➢ Difficulty in gathering and collecting data resulting in fragmented and inconsistent reports (46%) |
| ➢ Lack of organized format that made the reports difficult to read (12%) | |
| ➢ Insufficient dissemination of reports to appropriate entities (12%) | |
| ➢ Lack of follow-up on information reported (12%) | |
| ➢ Lack of familiarity with electronic tracking systems (12%) | |
| Communication and coordination issues (10%) | ➢ Poor communication among various sections of the EOC (32%) |
| ➢ Poor communication and coordination between the EOC and external partners (32%) | |
| ➢ Poor and inconsistent coordination between the EOC and the media (21%) | |
| Confusion in response activities
| ➢ Failure to release responders from daily activities (44%) |
| ➢ Lack of clear assignment of response roles among responding personnel (33%) | |
| Poor incident action planning (5%) | ➢ Difficulty in distributing incident action plans (33%) |
| ➢ Difficulty in developing incident action plans (22%) | |
| ➢ Lack of clearly defined response objectives (22%) | |
| Lack of implementation of a developed incident action plan (11%) | |
* Number of statements referring to a specific theme over the number of statements identified for the selected capability.
**Number of statements referring to specific subtheme over the number of statements identified for the selected subtheme.
Distribution of themes across types of incidence.
| Top Recurring challenges for EOC operations by event | Total n = 179 | H1N1 (n = 119) | Hurricanes (n = 60) | |
|---|---|---|---|---|
| Confusion in roles and responsibilities | 42 (23%) | 31 (26%) | 11 (18%) | 0.5 |
| Poor familiarization and/or use of the Incident Command System | 31 (17%) | 16 (14%) | 15 (25%) | 0.2 |
| Difficulty in aggregating and utilizing situation reports | 26 (14%) | 19 (16%) | 7 (12%) | 0.6 |
| Communication and coordination issues among various sections of the EOC and/or with external partners | 19 (11%) | 11 (10%) | 8 (13%) | 0.5 |
|
|
|
|
|
|
| Communication with external partners | 25 (31%) | 23 (40%) | 2 (9%) | 0.06 |
| Information tracking | 20 (25%) | 13 (22%) | 7 (30%) | 0.6 |
| Use of technology | 22 (27.5%) | 12 (21%) | 10 (43%) | 0.2 |
| Communication across different teams within the same organization | 12 (15%) | 11 (19%) | 1 (4.3%) b | 0.2 |
a P-value calculated using Fisher’s exact test. b Not a top recurring challenge for hurricanes.