a

Population Health and Vital Statistics

Hospital Inpatient Discharges & Emergency Room Visits Statistics

The Arizona Department of Health Services is committed to ensuring digital accessibility for all users. We are currently in the process of reviewing and updating documents on this page to meet Section 508 accessibility standards. During this transition, some documents may not yet be fully accessible. If you experience difficulty accessing any content or require assistance, please contact us at adahelp@azdhs.gov.

For Diabetes

Inpatient Discharges and Emergency Room Visits by All-listed Diagnoses

Number of times diabetes was mentioned in one or more of the diagnostic fields in the hospital inpatient discharge and emergency room records (Table A)

Number of diabetes-related inpatient discharges by race/ethnicity, gender, age group, and county of residence (Table B)

Diabetes-related emergency room visits and inpatient discharges by gender, age group, and county of residence (Table C)

Inpatient Discharges by First-listed Diagnosis

Number of inpatient discharges with diabetes as first-listed diagnosis by age group, gender, race/ethnicity, and county of residence (Table 1)

Patient days for inpatient discharges with diabetes as first-listed diagnosis by age group, gender, race/ethnicity, and county of residence (Table 2)

Average length of hospital stay for inpatient discharges with diabetes as first-listed diagnosis by age group, gender, race/ethnicity, and county of residence (Table 3)

Rate of inpatient discharges with diabetes as first-listed diagnosis by gender, age group, race/ethnicity, and county of residence (Table 4)

Rate of patient days for diabetes as first-listed diagnosis by gender, age group, race/ethnicity, and county of residence (Table 5)

The first-listed (or primary) diagnosis was used to identify the discharges for diabetes ICD-9-CM code 250/ICD-10-CM code E10-E11 in Tables 1-5. Any mention of ICD-9-CM/ICD-10-CM related to diabetes was used to identify the diabetes-related discharges in Tables A and B.

This report was prepared and made Web-ready by:

  • Matthew Roach, MPH, Vital Statistics Manager
  • Yan Huang, MS, Data Analyst
  • Clare Torres, Senior Health Data Analyst