ERAC Special Risks Subcommittee Presentation Fy08

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Information about ERAC Special Risks Subcommittee Presentation Fy08
Education

Published on January 5, 2009

Author: NASBLA

Source: slideshare.net

Description

Analysis of high risk vessel type and fatality rates in states and analysis of boating accident data to identify factors specific to injures and fatalities among high risk boater populations, with a special focus on children and youth ages 17 and under.

Presented by: Eleanor Mariani

Special Risks Subcommittee Tasked with two charges: 1) Analyze high risk vessel type and fatality rates in states. Assess possible correlations between those rates and safety awareness campaigns. Identify and recommend best practices for states to implement to minimize risk to participants. 2) Analyze boating accident data to identify factors specific to injures and fatalities among high risk boater populations, with a special focus on children and youth ages 17 and under.

Tasked with two charges:

1) Analyze high risk vessel type and fatality rates in states. Assess possible correlations between those rates and safety awareness campaigns. Identify and recommend best practices for states to implement to minimize risk to participants.

2) Analyze boating accident data to identify factors specific to injures and fatalities among high risk boater populations, with a special focus on children and youth ages 17 and under.

Members Assigned: - Eleanor Marini (CT, Charge Leader) - Randy Edwards (Iowa) - Alex Cascione (USCG Aux.) - Dave Harris (Utah) - Ted Sensenbrenner (BoatUS) - Cindy Squires (NMMA) - Chris Neal (PWIA) - Dr. Deb Gona (NASBLA Staff) - Harry Hogan (USCG Staff)

Members Assigned:

- Eleanor Marini (CT, Charge Leader)

- Randy Edwards (Iowa)

- Alex Cascione (USCG Aux.)

- Dave Harris (Utah)

- Ted Sensenbrenner (BoatUS)

- Cindy Squires (NMMA)

- Chris Neal (PWIA)

- Dr. Deb Gona (NASBLA Staff)

- Harry Hogan (USCG Staff)

Charge 1 – High Risk Vessels Methods: Focus placed on BARD data from 1998-2007 from the 56 jurisdictions. Fatality data was grouped by the ‘Accident Type 1’ from BARD and placed into one of five educational categories developed by the charge 1 work group.

Methods:

Focus placed on BARD data from 1998-2007 from the 56 jurisdictions.

Fatality data was grouped by the ‘Accident Type 1’ from BARD and placed into one of five educational categories developed by the charge 1 work group.

Five Educational Categories Departed the Vessel Departed the Vessel - Assistance Departed the Vessel - Jumped Overboard Departed the Vessel - Render Assistance Departed the Vessel - Repairs Departed the Vessel - Retrieval Departed the Vessel - Swimming Strikes and Impact Related Skier Mishap Stuck by Boat Struck by Motor/Propeller Struck by Propeller Navigation Rules Collision w/ Fixed Object Collision with Floating Object Collision with Vessel Grounding Person Ejected Struck Submerged Object Stability Capsizing Fall in Boat Falls Overboard Falls Within Boat Flooding/Swamping Vessel Related Carbon Monoxide Carbon Monoxide Exposure Carbon Monoxide Poisoning Electrocution Fire/Explosion (Fuel) Fire/Explosion (Other than Fuel) Sinking

Methods (Continued): Variables of fatal accidents analyzed included: Vessel Type, Vessel Length, Activity, Operation, Contributing Factors, PFD Use, and Victim Age. The fatality data was compiled by the USCG by individual state, region (NABA, WSBAA, SSBLA), and overall. Charge 1 – High Risk Vessels

Methods (Continued):

Variables of fatal accidents analyzed included: Vessel Type, Vessel Length, Activity, Operation, Contributing Factors, PFD Use, and Victim Age.

The fatality data was compiled by the USCG by individual state, region (NABA, WSBAA, SSBLA), and overall.

Charge 1 - Significant Research Issues and Challenges Broad Terminology “ high risk” proved difficult to define What does it mean to “minimize risk” knowing that some activities are inherently “risky”. Lack of Exposure hour data Data gaps in BARD data (unknown or blank responses) Questionable if the sample size was large enough to analyze by individual states.

Broad Terminology

“ high risk” proved difficult to define

What does it mean to “minimize risk” knowing that some activities are inherently “risky”.

Lack of Exposure hour data

Data gaps in BARD data (unknown or blank responses)

Questionable if the sample size was large enough to analyze by individual states.

Charge 1 - Data Analysis Goals Group and analyze fatalities by education categories. Identify and analyze any noticeable trends. Identify categories/variables that represent large proportions of the overall number of fatalities. Use this as a starting point for targeting education and awareness campaigns and creating Best Management Practices

Group and analyze fatalities by education categories.

Identify and analyze any noticeable trends.

Identify categories/variables that represent large proportions of the overall number of fatalities.

Use this as a starting point for targeting education and awareness campaigns and creating Best Management Practices

Charge 1 – Interim Findings Fatalities in the last ten years were overwhelming related to the “Stability” educational category. 65% of fatalities in both five year periods. 1998-2002 2369 deaths 2003-2007 2222 deaths The “Navigation Rules” education category had the second highest number of fatalities. 22% (98-02) and 21% (03-07). These two educational categories accounted for 86% of the fatalities from 1998-2002 (3,187) and 85% from 2002-2007 (2,954).

Fatalities in the last ten years were overwhelming related to the “Stability” educational category.

65% of fatalities in both five year periods.

1998-2002 2369 deaths

2003-2007 2222 deaths

The “Navigation Rules” education category had the second highest number of fatalities.

22% (98-02) and 21% (03-07).

These two educational categories accounted for 86% of the fatalities from 1998-2002 (3,187) and 85% from 2002-2007 (2,954).

Open motorboats accounted for approximately 50% of fatalities across each educational category. The second highest boat types included Pontoon boats (Departed Vessel) PWC (Strikes and Impact Related & Navigation Rules) Canoe/Kayak (Stability) Cabin Motorboat (Vessel Related). Boat Size: Smaller boats 10-16 ft. for Stability and Navigation Rules (highest categories) Larger boats for Departed Vessel, Strikes and Impact Related, and Vessel Related (16-20 ft. and 20-26ft.) Charge 1 – Interim Findings

Open motorboats accounted for approximately 50% of fatalities across each educational category.

The second highest boat types included

Pontoon boats (Departed Vessel)

PWC (Strikes and Impact Related & Navigation Rules)

Canoe/Kayak (Stability)

Cabin Motorboat (Vessel Related).

Boat Size: Smaller boats

10-16 ft. for Stability and Navigation Rules (highest categories)

Larger boats for Departed Vessel, Strikes and Impact Related, and Vessel Related (16-20 ft. and 20-26ft.)

The data reveals important information: Small, open motorboats and paddle craft rank highest in the educational categories with the highest fatalities. There is a disproportionately larger number of youth (age 13-17) fatalities in the ‘Strikes and Impact Related’ educational categories. Charge 1 – Applying the Findings

The data reveals important information:

Small, open motorboats and paddle craft rank highest in the educational categories with the highest fatalities.

There is a disproportionately larger number of youth (age 13-17) fatalities in the ‘Strikes and Impact Related’ educational categories.

Educational Standards need to improve on: Helping people select appropriate craft for their activity and teaching the limitations of that vessel. Teaching how to move around in a small boat, especially while fishing. Preventing alcohol use while boating. Alcohol use was found to be a major contributing factor across all educational categories except ‘vessel related’. Charge 1 – Applying the Findings

Educational Standards need to improve on:

Helping people select appropriate craft for their activity and teaching the limitations of that vessel.

Teaching how to move around in a small boat, especially while fishing.

Preventing alcohol use while boating.

Alcohol use was found to be a major contributing factor across all educational categories except ‘vessel related’.

Data is still being processed by USCG. The data sets are very large. It is expected there will be 20,000 records for injuries for each five year period. Compared to ~ 3,500 for fatalities. Analysis process will be continued to include injuries when the data becomes available. Charge 1 - Ongoing Work and Future Work

Data is still being processed by USCG.

The data sets are very large. It is expected there will be 20,000 records for injuries for each five year period.

Compared to ~ 3,500 for fatalities.

Analysis process will be continued to include injuries when the data becomes available.

Charge 1 – Ongoing and Future Work Further time is needed to continue investigating possible correlations between fatalities and state’s awareness campaigns.

Further time is needed to continue investigating possible correlations between fatalities and state’s awareness campaigns.

Analyze boating accident data to begin indentifying factors specific to injuries and fatalities among high-risk boater populations, especially children and youth ages 17 and under. Members Assigned: - Pamela Dillon - -

Analyze boating accident data to begin indentifying factors specific to injuries and fatalities among high-risk boater populations, especially children and youth ages 17 and under.

Charge 2 - Data For consistency the data used was from BARD for the 56 jurisdictions for calendar year 2002-2006. Fatality and Injury data was made available. Fatality and injury victims were grouped into 4 age groups: Over 17 years of age 13 – 17 Under 13 years old Unknown

For consistency the data used was from BARD for the 56 jurisdictions for calendar year 2002-2006.

Fatality and Injury data was made available.

Fatality and injury victims were grouped into 4 age groups:

Over 17 years of age

13 – 17

Under 13 years old

Unknown

Grouping age data in a way that addresses research interests. Identifying significance and drawing conclusions is difficult when there is a relatively small number of cases in regards to fatality data. Primary reliance on BARD data. Attempts to identify other good sources of data for comparisons have been problematic. Numerous ‘blank’ or ‘unknown’ responses in BARD. Difficulties due to communications means, and having only a single in-person meeting. Charge 2 - Significant Research Issues and Challenges

Grouping age data in a way that addresses research interests.

Identifying significance and drawing conclusions is difficult when there is a relatively small number of cases in regards to fatality data.

Primary reliance on BARD data.

Attempts to identify other good sources of data for comparisons have been problematic.

Numerous ‘blank’ or ‘unknown’ responses in BARD.

Difficulties due to communications means, and having only a single in-person meeting.

The following observations are based on initial analysis: PWC has the highest proportion of youth fatalities for a single type of vessel. Fishing appears to be the single most activity youth were engaged in at the time of their death. A disproportionate number of youth deaths and injuries age 17 and under appear to be engaged in waterskiing and tubing. Whitewater and Hunting activities are of interest for further statistical review for children under age 17. Charge 2 – Interim Findings

The following observations are based on initial analysis: PWC has the highest proportion of youth fatalities for a single type of vessel.

Fishing appears to be the single most activity youth were engaged in at the time of their death.

A disproportionate number of youth deaths and injuries age 17 and under appear to be engaged in waterskiing and tubing.

Whitewater and Hunting activities are of interest for further statistical review for children under age 17.

Identified areas for further research include: fishing, waterskiing/tubing, PWC usage, whitewater, and hunting. This data will be further evaluated by obtaining accident narratives to obtain details that were left ‘blank’ or ‘unknown’ in BARD Research the role (if any) the adult supervisor, parent, or guardian played in events leading to death or injury. Charge 1 - Ongoing and Future Work

Identified areas for further research include: fishing, waterskiing/tubing, PWC usage, whitewater, and hunting.

This data will be further evaluated by obtaining accident narratives to obtain details that were left ‘blank’ or ‘unknown’ in BARD

Research the role (if any) the adult supervisor, parent, or guardian played in events leading to death or injury.

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