Finding and Using Local Data for Suicide Preven7on

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Transcription:

Finding and Using Local Data for Suicide Preven7on January 21 st, 2014 1

Welcome! Please mute your phone or microphone line If you have a ques7on, please type it into the Ques7ons box or raise your hand by clicking the hand logo on your control panel 2

Poll What type of data does your county use in your suicide preven7on efforts? Na7onal data State data Regional data County data 3

Theresa Ly, MPH Senior Program Specialist Know the Signs Campaign Educa7on Development Center 4

Mortality Data on what? Morbidity hospitaliza7ons Morbidity emergency room visits Suicidal thoughts and feelings Associated risk factors (mental health condi7ons, excessive alcohol use) Help- seeking Resources available 5

Why? Dispel misconcep7ons Inform & evaluate suicide preven7on ac7vi7es Persuade policy makers 6

Today s Presenta7on Commonly used data sources Data categories Other data sources Using data: some considera7ons o Interpre7ng data o Messaging when using data 7

Today s Presenta7on Commonly used data sources Data categories Other data sources Using data: some considera7ons o Interpre7ng data o Messaging when using data 8

CDC: Youth Risk Behavior Surveillance Survey (YRBSS) Level Content Timeframe Age Demographics Website Na7onal & State Self- reported suicide idea7on Self- reported suicide ahempt Data available on suicide from 1991 Biannual data collec7on 9 th - 12 th grade students Hispanic, AI/AN, Asian, Black, PI, White hhp://www.cdc.gov/mmwr/pdf/ss/ss6104.pdf 9

SAMHSA: Na7onal Survey on Drug Use and Health (NSDUH) Level Content Timeframe Age Demographics Website Na7onal & State Self- reported suicide idea7on Self- reported suicide ahempt Data on suicide available from 2008 Adults (18+) Hispanic, AI/AN, Asian, Black, PI, White, 2 or more races hhp://7nyurl.com/nsduh2013 10

CDC: Web- based Injury Sta7s7cs Query and Repor7ng System (WISQARS) Level Content Timeframe Age Demographics Website Na7onal & State Non- fatal & fatal injuries by method Cost of Injury reports Data on suicide available from 1999 Annual data collec7on All White, API, African American, AI/AN, La7no hhp://www.cdc.gov/injury/wisqars/ fatal_injury_reports.html 11

California Health Interview Survey (CHIS) Level Content Timeframe Age Demographics Website State, Regional & County Suicide idea7on (for adults only) Data on suicide available from 2011 Biannual collec7on, annual in 2012 All: Adult (18+); Adolescent (12-17), Child (0-11) White, Asian (mul7ple categories), PI, African American, AI/AN, La7no, Other hhp://ask.chis.ucla.edu/main/default.asp 12

CDPH: EpiCenter Level Content Timeframe Age Demographics Website State & County Non- fatal self- inflicted injuries & method Fatal self- inflicted injuries & method Data on suicide available from 1991 Annual data collec7on All White, API, African American, AI/AN, La7no, Other hhp://epicenter.cdph.ca.gov/ ReportMenus/CustomTables.aspx 13

CDPH: County Health Status Profiles Level Content Timeframe Age Demographics Website State & County Suicide deaths Data compiled on suicide from 1999 All grouped All grouped hhp://www.cdph.ca.gov/programs/ohir/ Pages/CHSPCountySheets.aspx 14

Today s Presenta7on Commonly used data sources Data categories Other data sources Using data: some considera7ons o Interpre7ng data o Messaging when using data 15

Data Categories Idea7on Ahempts Primarily self- reported informa7on, no external valida7on Deaths Method Verified 16

Data Categories Idea7on Poll: Ahempts Deaths Is your county using suicide idea7on data to inform your local suicide preven7on prac7ces? Method 17

Data Categories Idea7on Ahempts Deaths YRBSS (Na4onal survey) Students who had seriously considered ahemp7ng suicide in the past 12 months 15.8% in 2011 Method 18

Data Categories Idea7on Ahempts Deaths Method YRBSS (Na4onal survey) Students who had made a plan about how they would ahempt suicide in the past 12 months 12.8% in 2011 19

Data Categories Idea7on Ahempts Deaths Method NSDUH (Na4onal survey) Es7mated percentage of adults who had serious thoughts of suicide in the previous year 3.9% in 2012 20

Data Categories Idea7on Ahempts Deaths NSDUH (Na4onal survey) Average percentage of adults who had made any suicide plan in the previous year 1.1% in 2012 Method 21

What could this mean? Seriously thought about suicide in past year Made a suicide plan in the past year Youth (YRBSS) Adult (NSDUH) 15.8% 3.9% 12.8% 1.1% 22

What could this mean? Youth might feel less s7gma about talking about suicide Adulthood may be more emo7onally stable than adolescence 23

Data Categories Idea7on Ahempts Deaths Method NSDUH (State survey) Average percentage of adults in California who had serious thoughts of suicide in the previous year 3.4% in 2008-2009 24

Data Categories Idea7on Ahempts Deaths Method NSDUH (State survey) Average percentage of adults in California who had made any suicide plan in the previous year 0.9% in 2008-2009 25

Data Categories Idea7on Ahempts Deaths CHIS (State survey) Adults who ever seriously thought about commitng suicide 8.8% in 2011-2012 Method 26

What could this mean? Californian adults who seriously thought about suicide Ever experienced (CHIS) Experience in past year (NSDUH) 8.8% 3.4% 27

Data Categories Idea7on Poll: Ahempts Deaths Is your county using suicide ahempt data to inform your local suicide preven7on prac7ces? Method 28

Data Categories Idea7on Ahempts YRBSS (Na4onal survey) Youth repor7ng ahemp7ng suicide in the past year Deaths 7.8% in 2011 Method 29

Data Categories Idea7on Ahempts YRBSS (Na4onal survey) Youth repor7ng to have self- injured resul7ng in doctor treatment in the past year Deaths Method 2.4% in 2011 30

Data Categories Idea7on Ahempts Deaths Method EpiCenter (State) Non- fatal self- inflicted injuries leading to hospitaliza7on In 2011 Cases: 15,324 Rate: 40.8/100,000 31

Data Categories Idea7on Ahempts Deaths Method EpiCenter (State) Non- fatal self- inflicted injuries treated in the Emergency Department In 2011 Cases: 29,137 Rate: 77.6/100,000 32

Data Categories Idea7on Poll: Ahempts Deaths Is your county using suicide death data to inform your local suicide preven7on prac7ces? Method 33

Data Categories Idea7on Ahempts EpiCenter (State) Death due to self- inflicted injuries Deaths Method In 2011 Cases: 3,955 Rate: 10.5/100,000 34

Data Categories Idea7on Poll: Ahempts Deaths Is your county using data on suicide method to inform your local suicide preven7on prac7ces? Method 35

Idea7on Ahempts Data Categories EpiCenter (State, 2011) Suicide Deaths by Other, 222 Cut/ Pierce, 88 Deaths Method Jumping, 162 Poisoning, 799 Hanging, 1137 Firearm, 1547 36

Data Categories Idea7on Ahempts EpiCenter (Bay Area, 2011) Suicide Deaths by Other, 64 Cut/ Pierce, 15 Deaths Poisoning, 218 Firearm, 282 Method Jumping, 50 Hanging, 239 37

Today s Presenta7on Commonly used data sources Data categories Other data sources Using data: some considera7ons o Interpre7ng data o Messaging when using data 38

Type in your thoughts! Is your County using any other type of data in your suicide preven7on work? 39

Co- Morbidity Other data sources Financial Impact Hotline & Local Service Use 40

Other data sources Co- Morbidity Financial Impact Hotline & Local Service Use Behavioral Risk Factor Surveillance System (BRFSS) Na7onal & State Data (1984-2011) hhp://apps.nccd.cdc.gov/ BRFSS/index.asp 41

Other data sources Co- Morbidity Financial Impact Hotline & Local Service Use County Health Rankings and Roadmaps Shasta County: 48 Mental Health Providers (1:3,761) 22% adults drink excessively 15% have inadequate social support 42

Other data sources Co- Morbidity Financial Impact Hotline & Local Service Use County Health Rankings and Roadmaps Visit www.countyhealthrankings.org to explore your county. 43

Other data sources Co- Morbidity Financial Impact WISQARS Cost of Injury Reports Hotline & Local Service Use 44

Other data sources Co- Morbidity Local crisis hotlines Financial Impact Hotline & Local Service Use Which hotlines serve your county? What kind of data logs do they keep? 45

Other data sources Co- Morbidity Na4onal Suicide Preven4on Lifeline, by CA County Financial Impact Hotline & Local Service Use 46

Other data sources Co- Morbidity Na4onal Suicide Preven4on Lifeline, California Financial Impact Hotline & Local Service Use 47

Other data sources Co- Morbidity Financial Impact Hotline & Local Service Use Na4onal Suicide Preven4on Lifeline To request data on Lifeline calls from your County, contact Carole Ludwig at cludwig@mhaofnyc.org 48

Other data sources Co- Morbidity Other Na4onal Hotlines Financial Impact Hotline & Local Service Use Friendship Line Trevor Project Others? 49

Other data sources Co- Morbidity Financial Impact Hotline & Local Service Use California s Common Metrics Demographics Reason for call Call volume Level of risk Follow- up and tracking post- call Caller sa7sfac7on 50

Other data sources Co- Morbidity California s Common Metrics Financial Impact Hotline & Local Service Use For ques7ons on Common Metrics, contact Sandri Kramer (skramer@didihirsch.org) or Georgina Morris (gparra@didihirsch.org) 51

Other data sources Co- Morbidity Poison Control System Calls Financial Impact Hotline & Local Service Use 52

Other data sources Co- Morbidity Poison Control System Calls Financial Impact Hotline & Local Service Use To request data on your County, contact Dr. Stuart Heard at the California Poison Control System (seheard@calpoison.org) 53

Other data sources Co- Morbidity Financial Impact Others? Hospitals? Coroner? Mental Health or Public Health Department? Hotline & Local Service Use 54

Today s Presenta7on Commonly used data sources Data categories Other data sources Using data: some considera7ons o Interpre7ng data o Messaging when using data 55

Beneficial uses of data Defines a target popula7on Reduces misconcep7ons Provides context to local issue of suicide Helps you see changes over 7me 56

Interpreta7ons Consider using social math: 183 suicides have occurred in Nevada County in the past 10 years vs. As many people died by suicide in the past 10 years in Nevada County as to fit almost 4 school buses 57

Public Messaging Using Data Don t sensa7onalize the data 1 suicide every 15 minutes 58

We can t win with sta7s7cs alone Heart disease Cancer Noninfec7ous airway diseases Cerebrovascular disease Injuries/accidents Alzheimer's Diabetes Kidney disease Pneumonia/flu Suicide 59

60

We already know suicide is an issue 61

Changing the Conversa4on a priority for the Na7onal Ac7on Alliance for Suicide Preven7on The Ac7on Alliance will leverage the media and na7onal leaders to change the na4onal narra4ves around suicide & suicide preven4on to one that promotes help, connectedness, social support, resilience, treatment and recovery. 62

SPRC Data Training 63

Ques7ons & Discussion If you have a ques7on, please type it into the Ques7ons box or raise your hand by clicking the hand logo on your control panel

Thank you! Theresa Ly tly@edc.org Sandra Black sblack@edc.org Please fill out the Evalua7on! Webinar will be archived on www.yourvoicecounts.org