데이터셋 상세
미국
Rates of Preventable Hospitalizations for Selected Medical Conditions by County (LGHC Indicator)
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.
데이터 정보
연관 데이터
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.
Physician Supply and Preventable Hospitalizations by County - Anticipated Retirement of Practicing Physicians
공공데이터포털
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.
Hospitalization Counts and Rates of Selected Adverse Hospital Events by California County
공공데이터포털
(See Note below regarding 2015 data). The dataset contains hospitalization counts and rates (age 18+), statewide and by county, for 7 potentially-preventable adverse events that occur during a hospital stay. They provide a perspective on complications and iatrogenic events and help assess total incidence within a region. The measures, based upon the Agency for Healthcare Research and Quality’s (AHRQ’s) Patient Safety Indicators (PSIs), include: retained surgical item or unretrieved device fragment, iatrogenic pneumothorax, central venous catheter-related blood stream infection, postoperative wound dehiscence, accidental puncture or laceration, transfusion reaction, and perioperative hemorrhage or hematoma. Note: HCAI is only releasing the first 3 quarters of 2015 data due to a change in the reporting of diagnoses/procedures from ICD-9-CM to ICD-10-CM/PCS effective October 1, 2015, and the inability of the AHRQ software to handle both code sets concurrently.
Rates of Selected Hospital Procedures Examined for Over or Under-Use by County
공공데이터포털
(See Note below regarding 2015 data). The dataset contains hospitalization counts and rates, statewide and by county, for 4 medical procedures for which there could be possible over- or under-use and for which utilization varies across hospitals or geographic areas. High or low rates, by themselves, do not represent poor quality of care. Instead, the information is intended to inform consumers about local practice patterns or identify potential problem areas that might need further study. The procedures, based upon the Agency for Healthcare Research and Quality’s (AHRQ’s) Inpatient Quality Indicators (IQIs), include: coronary artery bypass graft (CABG) (age 40+), percutaneous coronary intervention (PCI) (age 40+), hysterectomy (age 18+), and laminectomy or spinal fusion (age 18+). Note: HCAI is only releasing the first 3 quarters of 2015 data due to a change in the reporting of diagnoses/procedures from ICD-9-CM to ICD-10-CM/PCS effective October 1, 2015, and the inability of the AHRQ software to handle both code sets concurrently.
Rates of Selected Hospital Procedures Examined for Over or Under-Use by County
공공데이터포털
(See Note below regarding 2015 data). The dataset contains hospitalization counts and rates, statewide and by county, for 4 medical procedures for which there could be possible over- or under-use and for which utilization varies across hospitals or geographic areas. High or low rates, by themselves, do not represent poor quality of care. Instead, the information is intended to inform consumers about local practice patterns or identify potential problem areas that might need further study. The procedures, based upon the Agency for Healthcare Research and Quality’s (AHRQ’s) Inpatient Quality Indicators (IQIs), include: coronary artery bypass graft (CABG) (age 40+), percutaneous coronary intervention (PCI) (age 40+), hysterectomy (age 18+), and laminectomy or spinal fusion (age 18+). Note: HCAI is only releasing the first 3 quarters of 2015 data due to a change in the reporting of diagnoses/procedures from ICD-9-CM to ICD-10-CM/PCS effective October 1, 2015, and the inability of the AHRQ software to handle both code sets concurrently.
Rates of Selected Hospital Procedures Examined for Over or Under-Use by County
공공데이터포털
(See Note below regarding 2015 data). The dataset contains hospitalization counts and rates, statewide and by county, for 4 medical procedures for which there could be possible over- or under-use and for which utilization varies across hospitals or geographic areas. High or low rates, by themselves, do not represent poor quality of care. Instead, the information is intended to inform consumers about local practice patterns or identify potential problem areas that might need further study. The procedures, based upon the Agency for Healthcare Research and Quality’s (AHRQ’s) Inpatient Quality Indicators (IQIs), include: coronary artery bypass graft (CABG) (age 40+), percutaneous coronary intervention (PCI) (age 40+), hysterectomy (age 18+), and laminectomy or spinal fusion (age 18+). Note: HCAI is only releasing the first 3 quarters of 2015 data due to a change in the reporting of diagnoses/procedures from ICD-9-CM to ICD-10-CM/PCS effective October 1, 2015, and the inability of the AHRQ software to handle both code sets concurrently.
Hospitalization Counts and Rates of Selected Adverse Hospital Events by California County
공공데이터포털
(See Note below regarding 2015 data). The dataset contains hospitalization counts and rates (age 18+), statewide and by county, for 7 potentially-preventable adverse events that occur during a hospital stay. They provide a perspective on complications and iatrogenic events and help assess total incidence within a region. The measures, based upon the Agency for Healthcare Research and Quality’s (AHRQ’s) Patient Safety Indicators (PSIs), include: retained surgical item or unretrieved device fragment, iatrogenic pneumothorax, central venous catheter-related blood stream infection, postoperative wound dehiscence, accidental puncture or laceration, transfusion reaction, and perioperative hemorrhage or hematoma. Note: HCAI is only releasing the first 3 quarters of 2015 data due to a change in the reporting of diagnoses/procedures from ICD-9-CM to ICD-10-CM/PCS effective October 1, 2015, and the inability of the AHRQ software to handle both code sets concurrently.
Measurable Hospital-Acquired Conditions (Composite Patient Safety and Adverse Events Indicator) Statewide Rate, California (LGHC Indicator)
공공데이터포털
This dataset contains the statewide composite patient safety and Adverse Events indicator (PSI) rate used to determine the “Incidence of measurable hospital-acquired conditions” rate for the Let’s Get Healthy California Initiative. PSI rates may not be comparable across years as significant changes were made to composition, definition, and calculation of PSI since 2018. The current composite PSI includes the following component indicators: pressure ulcer, iatrogenic pneumothorax, in-hospital fall with hip fracture, postoperative hemorrhage or hematoma, postoperative acute kidney injury requiring dialysis, postoperative respiratory failure, perioperative pulmonary embolism or deep vein thrombosis, postoperative sepsis, postoperative wound dehiscence, abdominopelvic accidental puncture or laceration.
Measurable Hospital-Acquired Conditions (Composite Patient Safety and Adverse Events Indicator) Statewide Rate, California (LGHC Indicator)
공공데이터포털
This dataset contains the statewide composite patient safety and Adverse Events indicator (PSI) rate used to determine the “Incidence of measurable hospital-acquired conditions” rate for the Let’s Get Healthy California Initiative. PSI rates may not be comparable across years as significant changes were made to composition, definition, and calculation of PSI since 2018. The current composite PSI includes the following component indicators: pressure ulcer, iatrogenic pneumothorax, in-hospital fall with hip fracture, postoperative hemorrhage or hematoma, postoperative acute kidney injury requiring dialysis, postoperative respiratory failure, perioperative pulmonary embolism or deep vein thrombosis, postoperative sepsis, postoperative wound dehiscence, abdominopelvic accidental puncture or laceration.