데이터셋 상세
캘리포니아 오픈데이터
Physician Supply and Preventable Hospitalizations by County - Anticipated Retirement of Practicing Physicians
These datasets contain hospitalization rates for seven prevention quality indicators (PQIs) and supply rates for physicians who treat these conditions per county. The conditions include: chronic obstructive pulmonary disease (COPD); hypertension; heart failure; community-acquired pneumonia; urinary tract infection (UTI); asthma in younger adults; and diabetes. Hospitalizations due to these medical conditions are potentially preventable through access to high-quality outpatient care. Rates are displayed per 100,000 population. Anticipated retirement of practicing physician specialists who provide direct patient care is also shown by county. See the PQI to physician area of practice list below to see which specialists would be needed to prevent and/or treat each PQI.
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연관 데이터
Rates of Preventable Hospitalizations (Age<18) for Selected Medical Conditions by County
공공데이터포털
The dataset currently contains hospitalization counts and rates, statewide and by county, for 4 conditions plus 3 composite measures. Hospitalizations for these conditions are potentially preventable through access to high-quality outpatient care. The conditions include: asthma (age 2-17), diabetes short-term complications (age 6-17), gastroenteritis (age 3 months-17 years), perforated appendix (retired, 2016), urinary tract infections (age 3 months-17 years), and low birth weight (<2500 grams; retired, 2016). The composite measures (age 6-17) include overall, acute conditions, and chronic conditions. The data provides a good starting point for assessing quality of health services in the community. The data does not measure hospital quality. Note: In 2015, HCAI only released the first three quarters of data due to a change in the reporting of diagnoses from ICD-9-CM to ICD-10-CM codes, effective October 1, 2015. Due to the significant differences resulting from the code change, the ICD-9-CM data is distinguished from the ICD-10-CM data in the data file beginning in 2016.
Rates of Preventable Hospitalizations for Selected Medical Conditions by County (LGHC Indicator)
공공데이터포털
The dataset contains hospitalization counts and rates, statewide and by county, for 10 ambulatory care sensitive conditions plus 4 composite measures. Hospitalizations due to these medical conditions are potentially preventable through access to high-quality outpatient care. The conditions include: diabetes short-term complications; diabetes long-term complications; chronic obstructive pulmonary disease (COPD) or asthma in older adults (age 40 and over); hypertension; heart failure; community-acquired pneumonia; urinary tract infection; uncontrolled diabetes; asthma in younger adults (age 18-39); and lower-extremity amputation among patients with diabetes. The composite measures include overall, acute conditions, chronic conditions, and diabetes (new, 2016). The data provides a good starting point for assessing quality of health services in the community. The data does not measure hospital quality. Note: In 2015, HCAI (formerly OSHPD) only released the first three quarters of data due to a change in the reporting of diagnoses from ICD-9-CM to ICD-10-CM codes, effective October 1, 2015. Due to the significant differences resulting from the code change, the ICD-9-CM data is distinguished from the ICD-10-CM data in the data file beginning in 2016.
Rates of Preventable Hospitalizations for Selected Medical Conditions by County (LGHC Indicator)
공공데이터포털
The dataset contains hospitalization counts and rates, statewide and by county, for 10 ambulatory care sensitive conditions plus 4 composite measures. Hospitalizations due to these medical conditions are potentially preventable through access to high-quality outpatient care. The conditions include: diabetes short-term complications; diabetes long-term complications; chronic obstructive pulmonary disease (COPD) or asthma in older adults (age 40 and over); hypertension; heart failure; community-acquired pneumonia; urinary tract infection; uncontrolled diabetes; asthma in younger adults (age 18-39); and lower-extremity amputation among patients with diabetes. The composite measures include overall, acute conditions, chronic conditions, and diabetes (new, 2016). The data provides a good starting point for assessing quality of health services in the community. The data does not measure hospital quality. Note: In 2015, HCAI (formerly OSHPD) only released the first three quarters of data due to a change in the reporting of diagnoses from ICD-9-CM to ICD-10-CM codes, effective October 1, 2015. Due to the significant differences resulting from the code change, the ICD-9-CM data is distinguished from the ICD-10-CM data in the data file beginning in 2016.
Rates of Preventable Hospitalizations for Selected Medical Conditions by County (LGHC Indicator)
공공데이터포털
The dataset contains hospitalization counts and rates, statewide and by county, for 10 ambulatory care sensitive conditions plus 4 composite measures. Hospitalizations due to these medical conditions are potentially preventable through access to high-quality outpatient care. The conditions include: diabetes short-term complications; diabetes long-term complications; chronic obstructive pulmonary disease (COPD) or asthma in older adults (age 40 and over); hypertension; heart failure; community-acquired pneumonia; urinary tract infection; uncontrolled diabetes; asthma in younger adults (age 18-39); and lower-extremity amputation among patients with diabetes. The composite measures include overall, acute conditions, chronic conditions, and diabetes (new, 2016). The data provides a good starting point for assessing quality of health services in the community. The data does not measure hospital quality. Note: In 2015, HCAI (formerly OSHPD) only released the first three quarters of data due to a change in the reporting of diagnoses from ICD-9-CM to ICD-10-CM codes, effective October 1, 2015. Due to the significant differences resulting from the code change, the ICD-9-CM data is distinguished from the ICD-10-CM data in the data file beginning in 2016.
NSW Ministry of Health - Potentially preventable hospitalisations due to chronic conditions
공공데이터포털
Separations per 1,000 population for potentially preventable hospitalisations, for chronic conditions.
Narodowy Fundusz Zdrowia - Przewlekła obturacyjna choroba płuc, styczeń 2020 – listopad 2024
공공데이터포털
,Zestawienie zawiera informacje o liczbie pacjentów ze sprawozdanymi świadczeniami z rozpoznaniem głównym lub współistniejącym przewlekłej obturacyjnej choroby płuc (ICD-10: J44) w leczeniu szpitalnym w okresie od stycznia 2020 roku do listopada 2024 roku.,
Asthma Emergency Department Visit Rates
공공데이터포털
This dataset contains counts and rates (per 10,000 residents) of asthma emergency department (ED) visits among Californians. The table “Asthma Emergency Department Visit Rates by County” contains statewide and county-level data stratified by age group (all ages, 0-17, 18+, 0-4, 5-17, 18-64, 65+) and race/ethnicity (white, black, Hispanic, Asian/Pacific Islander, American Indian/Alaskan Native). The table “Asthma Emergency Department Visit Rates by ZIP Code” contains zip-code level data stratified by age group (all ages, 0-17, 18+). The data are derived from the Department of Health Care Access and Information emergency department database. These data include emergency department visits from all licensed hospitals in California. These data are based only on primary discharge diagnosis codes. On October 1, 2015, diagnostic coding for asthma transitioned from ICD9-CM (493) to ICD10-CM (J45). Because of this change, CDPH and CDC do not recommend comparing data from 2015 (or earlier) to 2016 (or later). NOTE: Rates are calculated from the total number of asthma emergency department visits (not the unique number of individuals).