National Center for Health Statistics DCC CENTERS FOR DISEASE CONTROL AND PREVENTION Measuring Injury Using the National Health Interview Survey Margaret.

Slides:



Advertisements
Similar presentations
National Center for Health Statistics Data Online Query System Overview
Advertisements

The Early Release Program of the National Health Interview Survey Jeannine Schiller, M.P.H., Jane F. Gentleman, Ph.D., Eve Powell-Griner, Ph.D. National.
Tobacco Use Supplement To The Current Population Survey Users’ Workshop June 2009 Tips and Tricks of Handling the TUS Data James “Todd” Gibson Information.
Pengolahan dan Analisa Data Indra Budi Fasilkom UI.
Learning Objectives Copyright © 2002 South-Western/Thomson Learning Data Processing and Fundamental Data Analysis CHAPTER fourteen.
Learning Objectives 1 Copyright © 2002 South-Western/Thomson Learning Data Processing and Fundamental Data Analysis CHAPTER fourteen.
Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Data Processing, Fundamental Data Analysis, and Statistical Testing of Differences CHAPTER.
Population-based injury data in Ontario Presentation for ICE meeting Washington, September 7, 2006 Alison K. Macpherson, PhD Assistant Professor School.
International Collaborative Effort on Injury June 1-3, 2005 Cuernevaca, Mexico Yvette Holder, Consultant Biostatistician/Epidemiologist.
Suicide Trends Margaret Warner Manon Boudreault Lois A. Fingerhut Office of Analysis and Epidemiology APHA Washington DC 2004 National Center.
Unintentional Fall Injuries and Deaths Among MA Older Adults, Ages 65 Years and Over Carrie Huisingh, MPH, Epidemiologist Holly Hackman, MD, MPH, Epidemiologist.
Healthy People 2010 Focus Area 17: Medical Product Safety Progress Review October 19, 2007.
INTERPRET MARKETING INFORMATION TO TEST HYPOTHESES AND/OR TO RESOLVE ISSUES. INDICATOR 3.05.
SOWK 6003 Social Work Research Week 10 Quantitative Data Analysis
Injury and Poisoning Estimates from the National Health Interview Survey -Why They Differ from Other Estimates Manon Boudreault MPH, Margaret Warner PhD,
Utilizing severity to interpret changing trends of hospitalized injury rates in the United States, Claudia A. Steiner, MD, MPH 1 Li-Hui Chen,
Patient Characteristics and the Use of Health Care Services by Persons with HIV Esther Hing and Christine Lucas, Ambulatory and Hospital Care Statistics.
Full time and part time employment Coventry population in employment by gender Source: Annual Population Survey, Office for National Statistics
Centers for Disease Control and Prevention Household Survey Comparison Melissa Heinen, M.P.H. Margaret Warner, Ph.D. Lois Fingerhut, M.A. Montreal 2002.
Comparison of injury questions for household surveys Melissa A. Heinen, MPH Margaret Warner, PhD Lois A. Fingerhut, MA Centers for Disease Control and.
Working with injury data Margaret Warner, PhD Office of Analysis and Epidemiology National Conference on Health Statistics Washington, DC August 2010 U.S.
National Trend Data on Hospitalization of the Elderly for Injuries, Margaret Jean Hall, Ph.D. Lois Fingerhut, M.A. Melissa Heinen, M.P.H.
Medical Statistics (full English class) Ji-Qian Fang School of Public Health Sun Yat-Sen University.
J. Lee Annest, Ph.D. Director, Office of Statistics and Programming National Center for Injury Prevention and Control Using FARS data to Classify Unspecified.
U.S. National Health Interview Survey: Injury Questions Li-Hui Chen, MS, PhD ICE on Injury Statistics Washington DC 2006 U.S. DEPARTMENT OF HEALTH AND.
Curating and Managing Research Data for Re-Use Review & Processing Jared Lyle.
Developing Surveillance for Alcohol Abuse, Dependence, and Related Consequences in New Mexico Sandra Woerle, MA New Mexico Department of Health Office.
What can we learn about injury data from NCHS ? U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention National Center.
External Cause of Injury Mortality Matrix Lois A. Fingerhut on behalf on the ICE on Injury Statistics October 2004 Centers for Disease Control and Prevention.
Introduction Falls are the leading cause of fatal injuries in the construction industry. Despite the significance, detailed data (e.g., the distance fallen),
Eve Powell-Griner, PhD National Center for Health Statistics Centers for Disease Control and Prevention National Center for Health Statistics Overview.
Analyzing NCHS Drug Data Amy B. Bernstein, Sc.D. Presented at the NCHS Board of Scientific Counselors Meeting January 28, 2005 U.S. DEPARTMENT OF HEALTH.
Enhancing injury mortality surveillance using National Vital Statistics System Margaret Warner, PhD Mortality Statistics Branch National Conference on.
Studying Injuries Using the National Hospital Discharge Survey Marni Hall, Ph.D. Hospital Care Statistics Branch, Division of Health Care Statistics.
Robin A. Cohen, PhD National Center for Health Statistics National Conference on Health Statistics August 6, 2012 Analytic Uses of National Health Interview.
Traumatic Brain Injury in the United States Emergency Department Visits, Hospitalizations, and Deaths 1995–2001 National Center for Injury Prevention and.
The Chicago Guide to Writing about Multivariate Analysis, 2nd Edition. Data structure for a discrete-time event history analysis Jane E. Miller, PhD.
National Hospital Discharge Survey: A Hands-On Workshop Using Public-Use Data Files Michelle N. Podgornik, MPH 2006 Data Users Conference July 11, 2006.
Margaret Warner, PhD Li-Hui Chen, MS, PhD Office of Analysis and Epidemiology National Conference on Health Statistics Washington, DC August 2010 International.
Data Analysis.
1 Using National Hospital Ambulatory Medical Care Survey (NHAMCS) data for injury analysis Linda McCaig Ambulatory Care Statistics Branch Division of Health.
Improvements to the Collection of Injury and Poisoning Data in the National Health Interview Survey Patricia Barnes, M.A. Margaret Warner, Ph.D. Lois Fingerhut,
Centers for Disease Control and Prevention National Center for Health Statistics Robert N. Anderson Arialdi M. Miniño Lois A. Fingerhut Margaret Warner.
Medical Conditions File Medical Conditions File. General File Structure Each record represents a unique condition or procedure reported by a household.
Centers for Disease Control and Prevention National Center for Health Statistics ICE on Injury Statistics, Sept 2006 Margaret Warner, PhD Office of Analysis.
A healthier and safer Indiana ADDENDUM TO INJURY MORBIDITY AND MORTALITY IN INDIANA Injury Prevention Advisory Council Meeting June 21, 2012 Julie Wirthwein—Injury.
Multiple Cause of Injury Deaths Presented Using the ICD-10 Injury Mortality Diagnosis Matrix Margaret Warner, PhD Lois A Fingerhut, MA NCIPC Denver 2005.
1 Hospital Charges For Patients Involved in Motor Vehicle Crashes in Nebraska Ming Qu Prabhakar Dhungana.
Centers for Disease Control and Prevention National Center for Health Statistics Elizabeth Arias, Ph.D. Mortality Statistics Branch Division of Vital Statistics.
National Health Interview Survey Early Release Program: Overview and Key Health Indicators Report Jeannine S. Schiller, M.P.H. Division of Health Interview.
Confidence Intervals for a Population Proportion Excel.
ICECI Minimum Data Set for Less-Resourced Environments ICE Injury Meeting, April 2-3, 2001 Bethesda, Maryland Yvette Holder, MPH Associate Service Fellow,
Lesson 4Page 1 of 27 Lesson 4 Sources of Routinely Collected Data for Surveillance.
Centers for Disease Control and Prevention National Center for Health Statistics Margaret Warner, Ph.D. Office of Analysis and Epidemiology ICE on Injury,
International Collaborative Effort -ICE- on Injury Statistics Lois A. Fingerhut, Chair Cuernavaca, Mexico June 1 st -2 nd,, 2005 U.S. DEPARTMENT OF HEALTH.
Using Data from the National Survey of Children with Special Health Care Needs Centers for Disease Control and Prevention National Center for Health Statistics.
Injury Surveillance Thomas Songer, PhD University of Pittsburgh.
The role of NCHS in providing guidance for defining injuries in administrative data sets Lois A. Fingerhut, MA Office of Analysis and Epidemiology National.
South West Public Health Observatory New insights into place of death for people with Alzheimer’s disease, dementia and senility Dr Julia Verne.
Comparing Two Proportions Chapter 21. In a two-sample problem, we want to compare two populations or the responses to two treatments based on two independent.
U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention National Center for Health Statistics Injury and illness episodes.
Lois A. Fingerhut, MA and Margaret Warner, PhD Special Projects Branch, Office of Analysis and Epidemiology U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES.
Data Users Conference Patricia Barnes, M.A. National Health Interview Survey Using the 1997 and 1998 Injury and Poisoning Data Files.
Medical Expenditure Panel Survey MEDICAL CONDITIONS FILE.
Robyn Korn, MBA, RHIA, CPHQ HS225- Week 8 Overview of ICD-9-CM.
FREQUENCY DISTRIBUTION
Suicide among adolescents aged in the United States
Oregon Veteran Combat Status: Collection, Quality, and Analysis
Stair-related injuries sustained by infants, United States, 2001–2004
Michael L. Nance, MD, Michael J. Kallan, MS and John H. Holmes, PhD.
Presentation transcript:

National Center for Health Statistics DCC CENTERS FOR DISEASE CONTROL AND PREVENTION Measuring Injury Using the National Health Interview Survey Margaret Warner, PhD Lois A. Fingerhut, MA Pat Barnes, MA Margaret Warner, PhD Lois A. Fingerhut, MA Pat Barnes, MA

Location of injury and poisoning data Injury Episode file Injury Verbatim file Poison Episode file Person file Injury Episode file Injury Verbatim file Poison Episode file Person file

Injury episode file For each person: Up to 4 injury episodes For each episode: Up to 4 ICD-9-CM diagnosis codes Up to 3 ICD-9-CM external cause codes For each person: Up to 4 injury episodes For each episode: Up to 4 ICD-9-CM diagnosis codes Up to 3 ICD-9-CM external cause codes

Available data in the Injury Episode file External cause (ICD-9-CM) Injury diagnoses (ICD-9-CM) Place of occurrence Activity Resulting limitations Detail on certain causes (e.g. mv crashes, falls) External cause (ICD-9-CM) Injury diagnoses (ICD-9-CM) Place of occurrence Activity Resulting limitations Detail on certain causes (e.g. mv crashes, falls)

ICD-9-CM diagnosis codes and E-codes are based on information supplied by respondents, not medically trained personnel. Injury episode file

Poisoning episode file Contains no ICD-9-CM codes or E-codes Contains 47 episodes coded as “Allergic/adverse reaction to medical or other substance” or “Something else – not poisoning” Contains no ICD-9-CM codes or E-codes Contains 47 episodes coded as “Allergic/adverse reaction to medical or other substance” or “Something else – not poisoning”

Available data in the Poisoning Episode file Cause of poisoning Call to poison control center Cause of poisoning Call to poison control center

Available data in both injury and poisoning files Date of episode Hospitalization Days out of school Days out of work Time elapsed between episode and interview Date of episode Hospitalization Days out of school Days out of work Time elapsed between episode and interview

Injury section–Person file Contains summary information about injury and poisoning episodes Annual estimates can only be made on variables INJCT and POICT Contains summary information about injury and poisoning episodes Annual estimates can only be made on variables INJCT and POICT

How do I put the data together?

Injury and poisoning episode, and injury verbatim files Contain only injury or poisoning information and unique identifiers Must be linked to the person file to obtain sociodemographic variables, design variables, etc. Contain only injury or poisoning information and unique identifiers Must be linked to the person file to obtain sociodemographic variables, design variables, etc.

Episode and person based files Episode based: A person will appear in these files as many times as he/she has a unique episodes Person based: A person will appear in this file only once Episode based: A person will appear in these files as many times as he/she has a unique episodes Person based: A person will appear in this file only once

Concatenating injury and poisoning episode files InjuryPoisoning + + = Missing data, questions not found in both files Injury Poisoning

Merging injury/poisoning episode file and person file + + Person Injury Poisoning = Missing data, questions not found in both files

Merged injury/poisoning episode file and person file Injury Poisoning Person = Missing data, questions not found in both files

Episodes and Conditions Episode = Event that caused the condition (e.g. fall down stairs) Conditions = physical harm resulting from the injury episode (e.g. broken leg, bruised arm) Episode = Event that caused the condition (e.g. fall down stairs) Conditions = physical harm resulting from the injury episode (e.g. broken leg, bruised arm)

Creating condition files Injury ICD9_1 ICD9_2 ICD9_3 ICD9_4 Injury Episode with ICD9_1 ICD9_2 ICD9_3 ICD9_4

Creating condition files Poisoning Poisoning episode Poisoning condition =

Concatenating injury and poisoning condition files Poisoning + + Injury conditions Poisoning conditions = Missing data, questions not found in both files

What Can I Do With the Data?

Handout Using SAS to manipulate the injury and poisoning data Example SAS programs for concatenating and merging the files Using SAS to manipulate the injury and poisoning data Example SAS programs for concatenating and merging the files

Analyzing the injury and poisoning data Estimates of frequency Percent distributions Rates Standard errors Estimates of frequency Percent distributions Rates Standard errors

Calculating annual estimates Annual est = (variable)(4)(WTFA) Annual estimates of episodes and conditions can be calculated. Annual estimates of the number of persons injured cannot be calculated due to the 3 month reference period. Annual est = (variable)(4)(WTFA) Annual estimates of episodes and conditions can be calculated. Annual estimates of the number of persons injured cannot be calculated due to the 3 month reference period.

Standard Errors (SE) SE of the injury/poisoning rate for males and females SE of the injury/poisoning rate for specified racial groups SE of the injury/poisoning rate for males and females SE of the injury/poisoning rate for specified racial groups

Estimates of frequency Examples Number of episodes resulting from specific causes Number of injury/poisoning episodes by sex Number of injury/poisoning episodes by mechanism Number of episodes resulting from specific causes Number of injury/poisoning episodes by sex Number of injury/poisoning episodes by mechanism

Results

Rates Examples Annual injury/poisoning rates for males and females Annual injury/poisoning rates by mechanism Annual rate of falls for females over 65 years of age Annual injury/poisoning rates for males and females Annual injury/poisoning rates by mechanism Annual rate of falls for females over 65 years of age

Injury and poisoning episode rates Age in years Episodes per 1,000 population 95% CI

Age adjusted injury episode rates by mechanism of injury Episodes per 1,000 persons

Age adjusted condition rates by type of injury, 1997

Percentages Examples Percent of episodes resulting from specific causes Percent of poisoning episodes in which a poison control center was called Percent of injury episodes that occurred in the home Percent of episodes resulting from specific causes Percent of poisoning episodes in which a poison control center was called Percent of injury episodes that occurred in the home

Percent of injury episodes by place of injury, 1997 Percent of episodes Persons could indicate up to two places per episode.

Work-related injuries Injury episode file: Activity at the time of injury= Working at a paid job Sample person file: Occupation and industry Injury episode file: Activity at the time of injury= Working at a paid job Sample person file: Occupation and industry

Percent of injury episodes by activity, 1997 Percent of episodes Persons could indicate up to two places per episode.

Injury verbatim file Responses recorded by the interviewer: How the injury occurred Body part injured Nature of injury Text file linkable to other files Responses recorded by the interviewer: How the injury occurred Body part injured Nature of injury Text file linkable to other files

Available data in injury verbatim How the injury occurred (up to 336 characters) Up to 4 body parts injured (up to 34 characters each) Up to 4 nature of injuries (up to 44 characters each) How the injury occurred (up to 336 characters) Up to 4 body parts injured (up to 34 characters each) Up to 4 nature of injuries (up to 44 characters each)

Injury verbatim file Edited only for confidentiality Grammatical and/or spelling errors were not corrected Edited only for confidentiality Grammatical and/or spelling errors were not corrected

Uses of injury verbatim NCHS used to code ICD-9-CM diagnoses and external causes Code according to other classification schemes (e.g. BLS, ICECI, etc) Text search for words of interest In-depth analysis of ICD-9-CM categories NCHS used to code ICD-9-CM diagnoses and external causes Code according to other classification schemes (e.g. BLS, ICECI, etc) Text search for words of interest In-depth analysis of ICD-9-CM categories

Check sample size Analysts should be cautioned against making estimates based on small numbers of observations.

Verbatim text Example Cause of injury:. Part of body: Type of injury: Cause of injury:. Part of body: Type of injury: “While, fell on thumb.” “Right thumb” “Broken”

Examples of verbatim Machinery related injuries (E919) “ He was at home working on his table saw and accidentally ran his left thumb through the machine lengthwise.” (table saw, n=8) “Forklift extension came loose dropping on right foot at work” (forklift, n=3) “ He was at home working on his table saw and accidentally ran his left thumb through the machine lengthwise.” (table saw, n=8) “Forklift extension came loose dropping on right foot at work” (forklift, n=3)

Contact for questions related to injury data or injury classification issues: