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Table of Contents ABORTION AND PREGNANCY RATES Abortion and pregnancy rates measure the frequency of abortions and pregnancies among women of childbearing age in the population and among women in specific age ranges. Rates also measure the frequency of abortions occurring within gestational age ranges such as trimesters of pregnancy or any user-specified range in weeks. Rates can also be examined by specific age groups of pregnant women. While race is reportable on abortion certificates, the large amount of missing data precludes computing accurate race-specific rates, so the race panel is disabled. Definition of Terms Abortion Rate - The number of induced abortions among women of all ages per 1,000 women of childbearing age (i.e. age 15-44 years). Pregnancy Rate - The number of births plus induced abortions among women of all ages per 1,000 women of childbearing age (i.e. age 15-44 years). Fetal deaths are not included due to the unreliability of reported statistics and small numbers of events. VistaPHw differs in this calculation from the DOH Center for Health Statistics where fetal deaths are included in the calculation of this statistic. Abortion Percent - The number of induced abortions per 100 pregnancies (not including pregnancies ending in fetal death). Percent Abortions by Gestational Age - The percent of all abortions occurring within gestational age groups. Abortion and Pregnancy Data Source: WA State Department of Health, Center for Health Statistics, Abortion System BIRTH RISK FACTORS
Maternal Smoking Trimester - Percentage of live births
for which the mother reported smoking during a particular trimester of pregnancy
(1st, 2nd, or 3rd), among births for which the mother's smoking status is known. Maternal BMI
- Percentage of live births for which the mother is underweight, normal
weight, overweight, or obese by the mother's BMI (body mass index, calculated
from the mother's height and weight), among births for which the mother's BMI is known. OTHER COMMUNICABLE DISEASES The importance of communicable diseases as a cause of death has declined dramatically since 1990 thanks to improved social and economic conditions such as better housing and clean water, as well as public health improvements including immunization, improved sanitation and the widespread availability of antibiotics. However, communicable diseases remain a major cause of illness and disability. Health care providers are required to report cases of certain diseases. (STD and TB are separate assessment topics in VistaPHw). Communicable disease options in VistaPHw include:
Counts can be given for male, female and total. Note
that to get counts only, we select the "Crude Rate" option, then
suppress all columns except CNT in the OUTPUT PREFERENCES panel. Also,
note that if we were to select age-adjusted rate instead of crude rate, the
counts might be lower because cases with missing age are not included.
Rates are per 100,000 population. Communicable Disease Data Concerns: 1. Surveillance case definitions are usually more stringent than criteria applied in diagnosing and treating communicable diseases. The Centers for Disease Control and Prevention (CDC) case definitions are used for communicable disease surveillance in Washington State. Case definitions are published by the CDC (MMWR 1997;46:RR-10). For example, counties may have higher rates of hepatitis A than the state because the CDC definition of Hepatitis A includes both a positive test for Hepatitis A AND recorded Jaundice. Counties may have records that are positive for Hepatitis A but, DO NOT record Jaundice. 2. Incomplete reporting occurs with any surveillance
system. The proportion of patients seeing a health care provider, diagnosed by
clinical and laboratory methods, and reported to local health agencies varies
according to the specific disease. Common and mild illnesses are typically
underdiagnosed and underreported while unusual or severe illnesses are typically
more completely reported. The Communicable Disease database contains reported
cases, with completeness of reporting varying by diseases. DOH Communicable Disease Website DEATH RATES Death rates are one of the most common measures of the health of a community. They serve as markers for major health problems of a population. Race, Sex and Age-Specific analysis of death rates provide insight into the often vastly different health problems of each demographic group. Data for death rates are derived from death certificates. Rates are per 100,000 population. Cause of Death Categories: There are three sets of mortality categories to choose from in VistaPHw:
1) NCHS ICD10 Causes 2) NCHS Leading Causes 3) Injuries
For each cause of death, the list of ICD-9/ICD-10 codes used to
define the cause is displayed when you press the ALT key while clicking on the
category. If you are attempting to compare VistaPHw data
to another data source it is important to check that the same ICD codes are
used. When using death data that crosses over 1999 (i.e. 1997-2006),
use
comparability ratios. Causes of death that occurred beginning in 1999
are coded with ICD-10. Underlying Cause of Death - The disease or
injury which initiated the train of morbid events leading directly or indirectly
to death or the circumstances of the accident or violence which produced the
fatal injury. FERTILITY RATES =[Number of Live Births / Total Population] *1,000 General Fertility Rate - The total number of resident live births per 1,000 women of childbearing age. =[Number of Live Births / Female Population Ages 15-44] *1,000 Age-Specific Fertility Rate - The number of resident live births to women in a specific age group (e.g., 20-44 years) per 1,000 women in the same age group. =[Number of Live Births in a Specific Age Group / Female Population in the Same Specific Age Group] *1,000 Teenage Fertility Rate - The number of resident live births to women 15-19 years of age per 1,000 women 15-19 years of age. =[Number of Live Births to Women Ages 15-19 / Female Population Ages 15-19] *1,000
HOSPITALIZATION RATES The Center for Health Statistics (CHS) of the Washington State Department of Health (DOH) collects and maintains Washington hospital inpatient discharge data. The data and system are called the Comprehensive Hospital Abstract Reporting System, or CHARS. The CHARS data contain inpatient records for most hospitalizations occurring in Washington State. The data include: hospitalization records from Washington state licensed acute care facilities as defined in RCW 70.14.020; all persons treated in those facilities, including patients from other states and countries; patient demographics such as age, sex, and zip code of residence; diagnosis, procedure, and injury causation codes; treating hospital, length of stay, admission source, and discharge status; and payer, total billed hospital charges, DRG, DRG relative weights and revenue category breakdown. The data do not include:
emergency room or outpatient records; records from hospitalizations in US
military hospitals, US veterans hospitals, state psychiatric hospitals, birthing
centers, private alcoholism or private rehabilitation facilities; measures of
race/ethnicity, occupation, education, or income; hospitalization costs or
payments; hospitalizations of Washington residents treated outside the state; or
professional charges (physicians, anesthesiologists, etc.). Some CHARS limitations. Patient residence is
collected at the zip code level, which does not fit perfectly into counties in
some cases where zip codes cross county lines, such as in Clark, Skamania, and
Asotin. Counties with veterans and military hospitals and a large military
population, such as Pierce and Island, will find their populations
underrepresented in the CHARS data. Border counties will experience similar
problems with residents who are treated outside the state. Some potential uses of the data include: 1. Monitoring trends in causes of hospitalization 2. Hospital and health care marketing and planning 3. Developing Washington State specific reimbursement information (DRG weights and case mix indices). 4. Conducting clinical health research 5. Conducting surveillance on selected health conditions 6. Evaluating health care quality and outcomes 7. Quantifying resource utilization 8. Identifying health assessment issues 9. Measuring health status Some potential public health uses of the data include: 1. Measuring access to care via ambulatory care sensitive conditions 2. Evaluating program effectiveness 3. Developing local measures for comparisons to state and national indictors CHARS data are available from 1987 on. Other key data elements in CHARS include: discharge dates, length of stay, admission source, admit type, discharge status, payer, attending and other physician, DRG and DRG relative weights. Definition of Terms Used for Data Elements in CHARS Principal Diagnosis - the condition established after study to be chiefly responsible for occasioning the admission of the patient to the hospital for care. This is the first diagnosis on a CHARS record. Secondary Diagnosis - any condition that is not the principal diagnosis. All conditions that coexist at the time of admission, that develop subsequently, or that affect the treatment received and/or length of stay. Up to eight of these can be coded into a CHARS record. Principal Procedure - the procedure performed for definitive treatment rather than for diagnostic or exploratory purposes, or to treat a complication. It is the procedure most related to the principal diagnosis. Complication - a secondary condition that arises during hospitalization and is thought to increase the length of stay by at least one day for approximately 75% of the patients. Co-morbid Condition - is a condition that existed on admission and is thought to increase the length of stay at least one day for approximately 75% of the patients. CC – complication and co-morbid condition which assigns the principal diagnosis to a higher paying level of DRG. DRG - Diagnosis Related Group – a group of ICD-9 codes which receive the same capitated reimbursement ICD-9-CM - International Classification of Diseases, 9th Revision, Clinical Modification. This is the WHO coordinated disease classification system prior to ICD-10 and the one by which hospitalization diseases and procedures are coded. NCHS issues corrections, additions, and deletions of some of these codes to be effective October 1 each year, which is the annual change of the federal fiscal year. Disease codes can contain up to 5 digits. Procedure codes can contain up to 4 digits. A VistaPHw Convention: (F) and (M) Categories - The Categories listed below are always presented as sex-specific rates, even in output where sex breakdowns were not requested. Such categories, which also occur in death categories, are identified with (F) or (M) preceding or following category labels, both in screen menus and in the computed results.
A VistaPHw Convention and Option: Diagnosis Categories - Analyses in VistaPHw use grouped ICD-9 codes. For common medical problems, more than one ICD code might apply to the condition to be studied. The hospitalization categories were devised by Jim Krieger some time ago. There are several different ways to group the diagnoses into categories. Users can see what is included in an individual VistaPHw category by holding the ALT key while clicking on a category and VistaPHw will display a listing of the ICD-9 codes included under that topic. There is also an option for displaying ICD codes in the output results: On the Launch screen users can check the box for "display codes" and the output will show the ICD codes for each subset topic. There may be differences in ICD-9 codes for topics under reported vs. modified E-codes. If you are doing any comparisons of your community to state or national level data (comparing to data outside of that in VistaPHw) you must make sure the ICD-9 codes are exactly the same for each analysis.
Hospitalization Data Source: WA State Department of Health, CHARS INFANT DEATH RATES AND CAUSES Total Infant Mortality Rate - The number of deaths (those occurring from birth up to, but not including, the first birthday) of live-born infants in a given year per 1000 live births occurring in the same year. Neonatal Mortality Rate - Number of neonatal deaths of live-born infants per 1000 live births in the same year. Post Neonatal Mortality rate - Number of post neonatal deaths (those occurring from the 28th day of life up to, but not including, the first birthday) of live-born infants per 1000 live births in the same year. Causes of Infant Mortality - The list below contains major categories (upper case) and subcategories. One can examine any combination of major categories or sub-categories in any analysis. The categories are combinations of the National Infant Mortality Surveillance Project (NIMS) causes. PREMATURITY Race-specific rates - For race-specific rates, VistaPHw uses the mother's race and ethnicity from the birth certificate. Age-specific rates - Age-specific rates are limited to categories of potential child-bearing years. Age group combinations are available by clicking on the Combine box located below the Age Groups. Death Data Source: WA State Department of
Health, Center for Health Statistics, Death Certificate System LIFE EXPECTANCY Life expectancy is the average length of time persons of a particular age in a population are expected to live, assuming that as they age their probability of dying will reflect the age-specific mortality rates observed during the reported year. When life expectancies are computed for race-specific and sex-specific subpopulations, calculations are based on age-specific mortality rates for corresponding subpopulations. For example, life expectancy at birth for males is lower than life expectancy for females because age-specific mortality rates for males are usually higher. Life expectancies can be computed for the sex, race, and geographic units available for mortality analysis in VistaPHw. While life expectancy at birth is the most commonly used rate, life expectancy at five-year age increments up to age 85, plus age 1 and age 18, are also available in VistaPHw. The ages listed in VistaPHw are the lower bounds of the twenty age groups used to define the life-expectancy tables used in the calculations. While life expectancy does not identify specific health problems, it is a useful summary measure for comparing populations in different places, demographic groups, and over time. Data for calculating life expectancy are obtained from death certificates and population estimates. Rates are given in years of life. POPULATION TABLES Population data support most VistaPHw assessment topics, since they are required for most rate calculations. Besides using population data for rate calculations, VistaPHw can also produce tables of population data. The Washington State VistaPHw subcounty populations includes population estimates and projections for age by sex by race subpopulations for each county. Subcounty population estimates are available for 2000 census tracts and block groups from 1990-2006. VistaPHw also includes population data by zipcode, and local jurisdictions should be able to obtain similar data for regions in the state defined by census geography. The usual VistaPHw Age and Sex breakdowns are available for the population data set. Custom age groupings can be constructed from the standard twenty age groups. The standard twenty age groups include 5-year intervals from zero to eighty-five, except the 0-4 age group is broken down into <1 and 1-4, and the 15-19 age group is broken down into 15-17 and 18-19. The oldest age group is 85 and over. Four race breakdowns are available. They are selected by choosing a race option in the pop-up menu when selecting the population assessment topic. From 1990-2006, populations estimates are available for single race, Hispanic as race and ethnicity; for 2000-2006 multiple race, Hispanic as race and ethnicity. Why Use Population Data? The Center for Health Statistics, DOH, and the Vista Partnerships contracts with Krupski Consulting to develop post –censal estimates of population for age by sex by race by census block. The resulting estimates are aggregated by race, age, and sex to calculate rates by race and by age, sex, and zip code and then by county for calculating hospitalization rates by county. Sources for baseline population levels are: 2000 U.S. Census, NCHS race bridging coefficients, and 3 types of OFM data (annual estimates of age by sex by county, even year estimates of race by sex by county, and annual estimates of block group population). Linear and trend interpolation between the counts from these sources are adjusted to match OFM post-censal county totals and small area estimates. Slight differences between the estimates in Vista and OFM county totals reflect corresponding differences in OFM detail and totals, attributable to rounding error in the estimation process.
Suggested Citation: Population Estimates: Washington State Department of Health, Vista Partnership, Krupski Consulting; Washington State Population Estimates for Public Health. June, 2007. SEXUALLY TRANSMITTED INFECTION RATES Sexually transmitted infections (STIs) are an important public health concern because of the disability and long-term complications they cause. Populations with high rates of STIs are also at a greater risk for HIV infection, Hepatitis B, unintended pregnancy, and other health problems. Health care providers are required to report cases of certain diseases. Data for STI rates are obtained annually from the Washington State Department of Health. STI rates should not be age adjusted; crude overall and age-specific rates per 100,000 population should be used for analysis. STI Classifications
CDC Sexually Transmitted Diseases STI Data Concerns: 2. It is assumed that the cases reported from year to year are independent of each other. One violation of this assumption could be if a person who has an STI one year is more likely to have an STI the following year. Also, repeat episodes of the same STI by the same person are not excluded from the numerator count; it is felt that these numbers are not large enough to significantly impact the calculated rates. 3. Biases could exist in the data due to under-reporting, inability of certain populations to access medical services, error in laboratory reporting, or differential reporting or screening by source of care. However, it is assumed that the number of cases that would fall into these categories is small and normally distributed, thus not significantly impacting the calculated STI rates. 4. Clinically diagnosed cases of STIs (without laboratory confirmation) may be missed through this surveillance system. Presumptively diagnosed cases may be missed through this surveillance system. However, clinical practice recommendations from the CDC state all bacterial STIs should receive laboratory confirmation. Depending upon diagnosing practices, completeness of reporting may vary by source of health care. Some items are known to be under-reported or misreported, e.g. race, ethnicity, and marital status. Race and Ethnicity - The confidential case report includes race and ethnicity as two separate categories. Race options include White, Black, Asian/Pacific Islander, American Indian/Alaska Native, and Other/Unknown. Ethnicity options include Hispanic, Non-Hispanic, and Blank (which may indicate missing or unknown). Following the enumeration technique of the United States Census Department and the Washington State Center for Health Statistics, race and ethnicity are counted separately. For example, if a case report indicates "White" and "Hispanic", the case is counted both as White and as Hispanic. If race is unknown for a large proportion of cases, caution should be used in inference.Sexually Transmitted Disease Data Source: WA State
Department of Health, STD Services TUBERCULOSIS RATES Tuberculosis is an important health indicator because of its association with chronic illness, poverty and its potential for contagion. In recent years tuberculosis has generated more concern nationally because of the increase in cases associated with HIV infection, and because of the rise of drug-resistant strains. Health care providers are required to report cases of tuberculosis. Data for TB rates are obtained from The Washington State Department of Health. Rates are per 100,000 population. Standard Year, Age, and Race options are available for this topic in VistaPHw. Tuberculosis (TB) is a mycobacterial disease usually involving the lungs (in about 85% of cases). The genus Mycobacterium contains several species; however the vast majority of TB in the United States is caused by M. tuberculosis. The mode of transmission is exposure to airborne droplet nuclei from sputum of persons with infectious TB. Close contacts are at the highest risk of being infected. The incubation period is highly variable from individual to individual. Persons with TB infection but no overt symptoms are not infectious. Typical symptoms of pulmonary TB include coughing, chest pain when breathing or coughing, and coughing up blood. General symptoms of pulmonary and extrapulmonary TB include weight loss, fatigue, malaise, fever, and night sweats. Symptoms of extrapulmonary TB disease depend on the affected area. TB is detectable by use of the tuberculin skin test; diagnosis of pulmonary disease is by X-ray and by microscopic examination and culturing of sputum samples. After a decade-long decrease in the number of TB cases reported annually in Washington and in the United States, TB has reemerged as a serious communicable disease. From 1984 through 1991, TB cases increased in Washington by nearly 50% - from 201 to 309. From 1991 to 1995, TB cases decreased 10% to 278 cases and then increased again to 305 cases in 1997. However, with a 15% decrease in the number of cases reported from 1997, Washington reached a new all time low with only 258 cases reported and incident rate of 4.5 per 100,000 in 1999.Resistance to at least one anti-TB drug was found in 25 of 197 culture-positive cases that were tested (13%). Multiple-drug resistant TB (MDRTB) was evidenced in only 3 cases in Washington in 1999. Tuberculosis Data Source: WA State Department of Health,
Infectious Disease and Reproductive Health, TB System |
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