| TECHNICAL NOTES
Data Sources
- Vital Statistics
· The birth and death data that appear in this report was collected at the county
level and cleaned and reallocated by the California Department of Health Services (DHS),
Office of Vital Records and Statistics.
· County population data and projections were provided by a California
Department of Finance (DOF) 1997 publication for aggregate numbers and by DOF 1996
publications for ethnic-specific proportions. Age proportions for age-adjustment were
calculated by applying age-group proportions from the old (1993) DOF population summaries
to the newer aggregate numbers. Small area-specific population data were derived from this
same source as well as from the 1990 US Census Data files provided by the US Census
Bureau.
· Housing stock data and associated population data was derived
directly from the 1990 US Census Data files provided by the US Census Bureau.
- Infectious Diseases
· Local incidence data on most infectious diseases was provided by the Automated Vital
Statistics System (AVSS) as run by the San Mateo County Disease Control and Prevention
Unit (DCPU.). State and national disease incidence figures were taken from CDC-MMWR Summaries
of Notifiable Diseases for the various Years 1990 - 1996 and from CD Summaries
published by the DHS Division of Communicable Disease Control. The tuberculosis data came
from the Tuberculosis Control Branch of DHS. Original case definitions for measles,
syphilis and tuberculosis are contained in the Morbidity and Mortality Weekly Report (MMWR),
Vol. 39, Number RR-13,Oct. 19, 1990.
· AIDS case data was received from the AIDS Surveillance Section of the
DCPU. The original case definition for AIDS is contained in the Morbidity and Mortality
Weekly Report (MMWR), Supplement 1S, Vol. 367, Aug. 14th, 1987. This
definition was revised in 1993, and this revised classification system and the
accompanying expanded definition for surveillance can be found in the MMWR, Vol.
41, Number RR-17, Dec. 18, 1992.
- Other
· Data on cancer incidence was provided both by the Northern California Cancer Center
and by the DHS Cancer Surveillance Section.
· Hospital discharge data for San Mateo County residents was culled
from a statewide data for 1992 through 1995 made available by the California Office for
Statewide Health Planning and Development (OSHPD).
· Materials on the incidence of obesity and anemia were provided by the
Child Health and Development Program (CHDP), which is a part of the San Mateo County
Health Services Agency.
· Data on adolescent smoking prevalence was collected via a
questionnaire administered in most local schools in the Fall of 1997. This data set was
provided to the Tobacco Prevention Program by the County Office of Education.
Data Definitions
· The Kessner Index used to determine adequate rates of prenatal care was calculated
using the Institute of Medicine Three-Factor Prenatal Care Index. The index uses
gestational age, number of prenatal visits and trimester prenatal care began to determine
adequacy of that care. A complete description of this methodology can be found in the
following publication: Institute of Medicine, Contrasts in Health Status - Vol. 1,
" Infant Death: An Analysis by Maternal Risk and Health Care." David Kessner
Project Director, published by the National Academy of Sciences,
Washington, DC, 1973, p. 58-60.
· Mortality data and hospital discharge data were categorized according
to standard diagnostic categories contained in the International Classification of
Diseases, Ninth Revision (ICD-9) as follows:
Due to space concerns, some causes of death in the rank charts DTH3-5
were abbreviated. A key for these terms is provided below:
Table 1. Cause of Death Abbreviations for DTH3-5
| Abbreviation |
Cause of Death |
| CongHrtFlr |
Congestive Heart Failure |
| Aortic Vlv |
Aortic Valve Dysfunction |
| Pneu/Flu |
Pneumonia/ Influenza |
| Congen Abnormty |
Congenital Abnormality |
| Presenile |
Pre-senile Dementia (Non-Alzheimers) |
| UTI |
Urinary Tract Infection |
| Ill-defined Perinatal |
Ill-defined/Unknown Causes in Perinatal Period |
| Liver Dis |
Liver Disease |
| Acc/Injury |
Accidental Injury/ Unintentional Injury |
| COPD |
Chronic Obstructive Pulmonary Disease |
| Heart Dis |
Heart Disease |
Table 2. Cause of Death ICD-9 Codes
| Chart |
Cause of
Death/Hospitalization |
ICD-9 Codes |
| DTH1 |
All Causes of Death |
001-E999 |
| I NJ3 |
Motor Vehicle Crashes |
E810-E825 |
| DTH1 |
Cancer, All Sites |
140.0-208.9 |
| DTH15 |
Female Breast Cancer |
174.0-174.9 |
| DTH1 |
Coronary Heart Disease |
402.0-402.9, 410.0-414.9, 429.2 |
| DTH1 |
Stroke |
430.0-438.9 |
| DTH1 |
Homicide |
E960.0-E969.9 |
| DTH1 |
Suicide |
E950.0-E959.9 |
| DTH1 |
Unintentional Injuries |
E800.0-E949.9 |
| DTH1 |
COPD |
490-496 |
| DTH1 |
Pneumonia/Influenza |
480.0-487.9 |
| SUB1 |
Drug-Related Deaths/ Hospitalization |
291-2, 303-5, 305.2-305.9, 535.3, 571.0-571.3,
648.3, 655.40, 967.0, 965.00-965.09, 967.6-967.9, 969.7-969.9, E850-E858, E950.0-E950.5,
E962.0, E980.0-E980.5 |
| DTH1 |
AIDS |
042.0-042.9 |
| DTH3 |
Diabetes |
250.0-250.9 |
| DTH1 |
Liver Disease |
571.0-571.9 |
| DTH3 |
Alzheimers Disease |
331.0 |
| DTH3 |
Pre-senile Dementia |
290.1 |
| DTH3 |
Parkinsons Disease |
332 |
| DTH3 |
Congestive Heart Failure |
425, 428 |
| DTH3 |
Aortic Valve Disorder |
4241 |
| DTH3 |
Congenital Abnormality |
740-759 |
|
Table 3. Other Abbreviations Used
| Abbreviation |
Definition |
| DHS |
California Department of Health Services |
| DOF |
California Department of Finance |
| DTP4 |
Diptheria, Pertussis and Tetanus 4th
in a series |
| MMR1 |
Measles, Mumps and Rubella initial
vaccination |
| MVA |
Motor Vehicle Accident |
| NAVG |
Average Number |
| OPV3 |
Oral Polio Vaccine 3rd in a
series |
| PI |
Pacific Islander |
| Popn |
Population |
| Rxn |
Reaction |
Table 4. Ambulatory Care Sensitive Diagnoses ICD9 Codes*
| Table |
Ambulatory Care Sensitive Diagnoses |
ICD-9 Codes |
| ACS1 |
Angina |
411.1, 411.8, 413 |
| ACS1 |
Asthma |
493 |
| ACS1 |
Iron Deficiency Anemia |
280.1, 280.8, 280.9 |
| ACS1 |
Invasive Cervical Cancer |
378 |
| ACS1 |
Convulsions |
780.3 |
| ACS1 |
Grand Mal/ Epilepsy |
345 |
| ACS1 |
Congenital Syphilis |
090.0 |
| ACS1 |
COPD |
491.0-492.9, 494, 466.0 |
| ACS1 |
Dehydration |
276 |
| ACS1 |
Diabetes |
250.0-250.3, 250.8, 250.9 |
| ACS1 |
Severe ENT Conditions |
382, 462-463, 465, 472.1 |
| ACS1 |
Failure to Thrive |
783.4 |
| ACS1 |
Gastroenteritis, Non-infectious |
558.9 |
| ACS1 |
Hypertension |
401.0, 401.9, 402.00, 402.10, 402.90 |
| ACS1 |
Hypoglycemia |
251.2 |
| ACS1 |
Immunization-Related Condtns |
033, 037, 045, 320.0, 390, 391 |
| ACS1 |
Nutritional Deficiencies |
060, 261, 262, 268.0, 268.1 |
| ACS1 |
Pelvic Inflammatory Disease |
614 |
| ACS1 |
Pneumonia |
481, 482.2-23, 482.9, 483, 485, 486 |
| ACS1 |
Pulmonary Tuberculosis |
011 |
| ACS1 |
Other Tuberculosis |
012-018 |
| ACS1 |
Kidney/ Urinary Tract Infection |
590, 599.0, 599.9 |
These are included in a separate table for reference and because slight
variations may exist in the ICD-9 cut points used for analysis of ACS diagnoses and those
used in the breakout of death data.
Race/Ethnicity Categories
The race/ethnicity divisions used in the report are mutually exclusive
and are consistent with those used by the State Census Data Center.
Years of Potential Life Lost (YPLL)
YPLL is a measure intended to highlight causes of death which have a
disproportionate effect on younger age brackets and thus result in more overall time (and
often more economically productive years) lost in the population. There are a number of
varying ways to calculate YPLL, but for the purposes of this report, one of the earliest
and simplest is used:
YPLL = 75 (Age at death in years)
Age-Adjusted Rates
The age adjusted rates that appear in this report were calculated by the
direct method, in which a standard age distribution is chosen and the age specific death
or incidence rates for the group of interest are weighted according to that standard. The
cancer incidence data generated by the Northern California Cancer Center was adjusted
using the 1970 US age-distribution standard, while all others adjustments used the 1940 US
standard.
CONTRIBUTORS
Francis Wiser, MSPH, is an Epidemiologist with the County of San Mateo
Disease Control and Prevention Unit.
Scott Morrow, MD, MPH, MBA, is the Health Officer for the County of San
Mateo.
Mark Breda, MPH, is an Epidemiologist with the County of San Mateo
Disease Control and Prevention Unit.
ACKNOWLEDGEMENTS
The authors would like to thank the following for their supporting
activities, ranging from data collection to analysis and editing, that made the
compilation of this report possible:
Bev Thames, Alesia Landeros, Karen Pertschuk, Edith Cabuslay, Alicia
Goldstein, Teresita Larcina, Shirley Ventura, Robyn Ziegler, Terry Rooney, John Conley,
Margaret Taylor, Tito Dela Cruz, Brian Zamora, Maya Altman, John Volanti, Arthur Morris,
Marie McKenzie, Sally Brother, Jerry Mucha, Beth Schulz, Vera Edstrom, Shirley Rudd, Jim
Olson, Jerry Millin, Stacy Goldsby, Kathy Heckman, Frank Alvarez, Michael Nachtigall and
the staff of the Public Health Laboratory, Mark Constantz, Gail Gannon, Mindy Hollenbeck,
Sylvia Moreno, Marina Glumaz, Susan Ohms, Mary Jane Wood, Jonathan Mesinger, as well as
Gordon Helms and Vernon Lee of Health Services Information Technology and Rita Leung and
Martha Davis of the Northern California Cancer Center.
Cover Design and Photo Manipulation: Bev Thames
Cover Photo: Francis Wiser |