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David Grant USAF Medical Center

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60th Medical Group
101 Bodin Circle
Bldg. 777
Travis AFB, CA 94535-1801

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60th Medical Group, David Grant USAF Medical Center website

1-707-423-3000

Monday - Friday: 7:30 a.m.- 4:30 p.m. Closed: weekends, federal holidays and AMC-designated down days.

David Grant USAF Medical Center is the Air Force Medical Service's flagship medical treatment facility in the United States, providing a full spectrum of health care and patient-centered treatment to a prime service area population of more than 130,000 TRICARE eligible patients in the immediate San Francisco-Sacramento vicinity and more than 377,000 Department of Veterans Affairs Northern California Health Care System eligibles.

We are committed to operational readiness, outstanding customer service, and always delivering world-class health care.  

  • You can see for yourself how well we are doing. 
  • Click on one of the links to learn how we measure our performance.

Disclaimer:

  • One measure is not an indication of a facility's quality. Sometimes a smaller population can make a measure move pretty drastically from quarter to quarter, so don't be alarmed if you see a dip or a spike.
  • If there is no data included with the description of the measures below, it may be because your facility doesn't offer that particular service or treatment.
  • If you have questions, please contact the Patient Administration office at your military treatment facility or a beneficiary counseling and assistance coordinator

Download Spreadsheet of Metrics New MTF Search

Patient Safety

There are many factors the Military Health System tracks related to Patient Safety. Additional measures will be added here as they are made available.

Sentinel Events in the Military Health System

We encourage our medical staffs to report all types of patient safety events – injuries, illnesses and especially deaths. Sentinel events are those that result in harm to a patient and that require immediate reporting, response and investigation. More reported events don't necessarily mean more events have occurred. It could mean that more providers have reported events. This measure is a system-wide one that gives you a snapshot of what kind of sentinel events the entire system reported over the past five years.

Download the Report

Sentinel Events by Military Hospital

We encourage our medical staffs to report all types of patient safety events – injuries, illnesses and especially deaths. Sentinel events are those that result in harm to a patient and that require immediate reporting, response and investigation. More reported events don’t necessarily mean more events have occurred.  It could mean that more providers have reported events. This measure is a facility-specific one that shows you what sentinel events occurred in individual hospitals or clinics. NOTE: Your military hospital or clinic may not be on this list. Some do not provide services that can result in a reportable event, while others may not have enough data to report in a way that protects patient privacy.

Download the Report

Patient Safety Event Reporting

You expect us to keep you safe when you are in one of our hospitals or clinics. One way we do that is by reporting and reviewing Patient Safety Events so we can identify and fix potentially unsafe conditions in our hospitals and clinics. Patient Safety Events are any avoidable event that could result in harm to a patient. This includes what we call "near miss" events where a patient isn't harmed, but could have been. All facilities in the MHS Direct Care system voluntarily report their patient safety events to the MHS Patient Safety Program. Unlike most other health systems, we also report events in our dental program because the MHS integrates dental into its medical system.

The table below shows patient safety reporting in FY 2014, as compared with FY 2013, stratified by harm classification.

  Harm Group Stratification Event Reports Compared
# %
Overall Events Reached Patient, Harm 6,847 8.4% 6.5%
Events Reached Patient, No Harm 33,679 41.4% 3.9%
Events Did Not Reach Patient, Near Miss 40,907 50.2% 5.1%
Total 81,433 100.0% 1.3%
Medication
38.7% of all reports
Events Reached Patient, Harm
1,662  5.3% 2.7%
Events Reached Patient, No Harm
9,400  29.8% 17.5%
Events Did Not Reach Patient, Near Miss 20,475 64.9% 12.3%
Total  31,537 100.0% 13.2%
Non-Medication
61.3% of all reports
Events Reached Patient, Harm
5,185 10.4% 7.8%
Events Reached Patient, No Harm
24,279 48.7% 2.7%
Events Did Not Reach Patient, Near Miss
20,432 40.9% 31.0%
Total
49,896 100.0% 13.3%
  • Catheter Associated Urinary Tract Infections (CAUTI)

    A catheter is a drainage tube that is inserted into a patient’s urinary bladder through the urethra and is left in place to collect urine while a patient is immobile or incontinent. Catheters can become an easy way for germs to enter the body and cause serious infections in the urinary tract. These infections are called catheter-associated urinary tract infections (CAUTIs), and they can cause additional illness or may be deadly.

    What we measure

    We track the number of infections developed by patients in the ICU due to CAUTIs. We look at the number of infections compared to the number of expected infections based on the number of patients who had catheters during the time frame being measured.

    You and your family should ask about our processes for preventing infections. You are encouraged to be proactive with your care team and ask for catheters to be removed at the earliest possible time that it can be safely removed.

    Table: Catheter Associated Urinary Tract Infections (CAUTI)

    Comparison to Benchmark
    CY2015 Q1-Q2CY2015 Q3-Q4CY2016 Q1-Q2CY2016 Q3-Q4CY2017 Q1-Q2CY2017 Q3-Q4CY2018 Q1-Q2CY2018 Q3-Q4
    No Different Than The National BenchmarkPHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly
    PHI**
    No Different Than The National BenchmarkNo Different Than The National BenchmarkNo Different Than The National BenchmarkNo Different Than The National BenchmarkNo Different Than The National BenchmarkNo Different Than The National Benchmark
  • Central Line Associated Blood Stream Infections (CLABSI)

    A central line is a narrow tube inserted by a doctor into a large vein of a patient’s neck or chest so the patient can receive fluids and medication. Central lines can become an easy way for germs to enter the body and cause serious infections in the blood. These infections are called central line-associated bloodstream infections (CLABSIs), and they can be deadly.

    What we measure

    We track the number of infections developed by patients in the ICU because of central-line devices. We study our infection rates by line days—the number of infections divided by the number of line days (number of patients in a day with at least one central line). The rate is the number of occurrences per 1,000 line days.

    You and your family should ask about our processes for preventing infections. You are encouraged to be proactive with your care team and ask for the central lines to be removed at the earliest possible time that it can be safely removed.

    Table: Central Line Associated Blood Stream Infections (CLABSI)

    Comparison to Benchmark
    CY2015 Q1-Q2CY2015 Q3-Q4CY2016 Q1-Q2CY2016 Q3-Q4CY2017 Q1-Q2CY2017 Q3-Q4CY2018 Q1-Q2CY2018 Q3-Q4
    No Different Than The National BenchmarkNo Different Than The National BenchmarkNo Different Than The National BenchmarkNo Different Than The National BenchmarkNo Different Than The National BenchmarkNo Different Than The National Benchmark0**** = Low number of cases, percentages may vary greatly0**0**** = Low number of cases, percentages may vary greatly0**

Patient Satisfaction / Access

There are many factors the Military Health System tracks related to Patient Satisfaction and Access. For your convenience we have categorized these in the below sections:

  • Access to Acute Care Appointments

    Seeing your provider in a timely manner is important to you—and to us. Our goal is for you get the right level of care, at the right time, by the right provider.

    What we measure

    We measure the average number of days it takes to be seen for an acute medical condition. If the military hospital or clinic can't get you an appointment with your primary care manager within the access standards (within 24 hours - 1 day), they will get you an appointment with another provider. We monitor this metric on a monthly basis and make more appointments available when the measure shows we need to.

    Graph: Access to Acute Care Appointments

    Average Days Until Third Next Available Appointment Within 24 Hours

    Table: Access to Acute Care Appointments

    Average Days Until Third Next Available Appointment Within 24 Hours
    2017-Jul2017-Aug2017-Sep2017-Oct2017-Nov2017-Dec2018-Jan2018-Feb2018-Mar2018-Apr2018-May2018-Jun2018-Jul2018-Aug2018-Sep2018-Oct2018-Nov2018-Dec2019-Jan2019-FebGoal
    1.821.380.910.611.391.392.681.541.331.43.851.371.331.441.481.071.11.280.970.821
  • Access to Routine Appointments

    Seeing your provider in a timely manner is important to you—and to us. Our goal is for you get the right level of care, at the right time, by the right provider.

    What we measure

    We measure the average number of days it takes to be seen for routine appointment. If the military hospital or clinic can't get you an appointment with your primary care manager within the access standards (within 7 days), they will get you an appointment with another provider. We monitor this metric on a monthly basis and make more appointments available when the measure shows we need to.

    Graph: Access to Care Routine

    Average Days Until Third Next Available Appointment For Routine or Follow-up Care

    Table: Access to Routine Appointments

    Average Days Until Third Next Available Appointment For Routine or Follow-up Care
    2017-Jul2017-Aug2017-Sep2017-Oct2017-Nov2017-Dec2018-Jan2018-Feb2018-Mar2018-Apr2018-May2018-Jun2018-Jul2018-Aug2018-Sep2018-Oct2018-Nov2018-Dec2019-Jan2019-FebGoal
    5.754.543.992.924.023.094.075.395.175.367.185.914.85.343.552.412.983.352.542.57
  • Care Transition

    "During this hospital stay, staff took my preferences and those of my family or caregiver into account in deciding what my health care needs would be when I left."
    "When I left the hospital, I had a good understanding of the things I was responsible for in managing my health."
    "When I left the hospital, I clearly understood the purpose for taking each of my medications."

    (4-point scale: 1-Never, 2-Sometimes, 3-Usually, 4-Always. Percent satisfied is a cumulative 11 points or higher out of a total of 12 points.)

    Patients reported whether they and/or their caregivers understood the type of care the patient would need once the patient left the hospital. Patients reported whether:

    • Hospital staff considered their health care options and wishes when deciding what kind of care they would need after leaving the hospital;
    • They and/or their caregivers understood what they would have to do to take care of themselves after leaving the hospital; and
    • They knew what medications they would be taking and why they would be taking them after leaving the hospital.

    Table: Care Transition

    Percentage of Patients Who Reported They Understood The Care They Would Need When They Left The Hospital
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3Benchmark
    67%69%69%62%62%65%63%64.6%64.8%52%
  • Cleanliness of Hospital Environment

    "During this hospital stay, how often were your room and bathroom kept clean?"

    (4-point scale: 1-Never, 2-Sometimes, 3-Usually, 4-Always. Percent satisfied is "Always".)

    Patients reported how often their hospital room and bathroom were kept clean.

    Table: Cleanliness of Hospital Environment

    Percentage of Patients Who Reported Their Hospital Room and Bathroom Was Always Clean
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3Benchmark
    73%73%78%76%75%78%77%78.8%78.3%74%
  • Communication about Medicines

    "Before giving you any new medicine, how often did hospital staff tell you what the medicine was for?
    "Before giving you any new medicine, how often did hospital staff describe possible side effects in a way you could understand?"

    (4-point scale: 1-Never, 2-Sometimes, 3-Usually, 4-Always. Percent satisfied is a cumulative 7 points or higher out of a total of 8 points.)

    If patients were given medicine that they had not taken before, the survey asked how often staff explained about the medicine. “Explained” means that hospital staff told what the medicine was for and what side effects it might have before they gave it to the patient.

    Table: Communication about Medicines

    Percentage of Patients Who Reported that Hospital Staff Explained The Purpose and Side Effects of Medicine Before They Received It
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3Benchmark
    73%81%74%74%74%77%74%71.3%77.5%64%
  • Communication with Doctors

    "During this hospital stay, how often did doctors treat you with courtesy and respect?"
    "During this hospital stay, how often did doctors listen carefully to you?"
    "During this hospital stay, how often did doctors explain things in a way you could understand?"

    (4-point scale: 1-Never, 2-Sometimes, 3-Usually, 4-Always. Percent satisfied is a cumulative 11 points or higher out of a total of 12 points.)

    Patients reported how often their doctors communicated well with them during their hospital stay. “Communicated well” means doctors explained things clearly, listened carefully to the patient, and treated the patient with courtesy and respect.

    Table: Communication with Doctors

    Percentage of Patients who Were Satisfied with their Communication with Doctors
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3Benchmark
    88%87%88%87%82%86%85%83.1%86.4%81%
  • Communication with Nurses

    "During this hospital stay, how often did nurses treat you with courtesy and respect?"
    "During this hospital stay, how often did nurses listen carefully to you?"
    "During this hospital stay, how often did nurses explain things in a way that you could understand?"

    (4-point scale: 1-Never, 2-Sometimes, 3-Usually, 4-Always. Percent satisfied is a cumulative 11 or higher out of a total of 12 points.)

    Patients reported how often their nurses communicated well with them during their hospital stay. “Communicated well” means nurses explained things clearly, listened carefully to the patient, and treated the patient with courtesy and respect.

    Table: Communication with Nurses

    Percentage of Patients Who Were Satisfied With Their Communication with Nurses
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3Benchmark
    86%87%87%88%84%89%84%84.9%88.5%80%
  • Discharge Information

    "During this hospital stay, did doctors, nurses or other hospital staff talk with you about whether you would have the help you needed when you left the hospital?"
    "During this hospital stay, did you get information in writing about what symptoms or health problems to look out for after you left the hospital?"

    (2-point scale: 1-No, 2-Yes. Percent Satisfied is a cumulative score of 4 out of a total of 4 points.)

    The survey asked patients about information they were given when they were ready to leave the hospital. Patients reported whether hospital staff had discussed the help they would need at home. Patients also reported whether they were given written information about symptoms or health problems to watch for during their recovery.

    Table: Discharge Information

    Percentage of Patients Who Were Provided With Discharge Information
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3Benchmark
    93%92%92%90%88%90%89%88.7%87.7%87%
  • Health Care Survey of DoD Beneficiaries

    The Health Care Survey of DoD Beneficiaries (HCSDB) surveys about 250,000 TRICARE beneficiaries annually and provides a comprehensive look at their opinions about a wide range of health care issues such as access to care, preventive services and their satisfaction with their doctors, health plan, coverage and the health care staff's communication and customer service efforts.

    View Survey Results Download Survey Reports

    Health Care Survey of DoD Beneficiaries

    Survey Results
  • Overall Hospital Rating

    "Using any number from 0 to 10, where 0 is the worst hospital possible and 10 is the best hospital possible, what number would you use to rate this hospital during your stay?"

    (11-point scale: 0-Worst Hospital Possible to 10-Best Hospital Possible. Percent satisfied is 9 or 10.)

    The overall rating summarizes up to 57 quality measures reflecting common conditions that hospitals treat, such as heart attacks or pneumonia. Hospitals may perform more complex services or procedures not reflected in the measures on Hospital Compare. The overall rating shows how well each hospital performed, on average, compared to other hospitals in the U.S.

    • The overall rating ranges from one to five stars. 
    • The more stars, the better a hospital performed on the available quality measures. 
    • The most common overall rating is 3 stars.

    Table: Overall Hospital Rating

    Percentage of Patients Who Rated the Hospital with a 9 or 10 out of 10
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3Benchmark
    71%74%80%75%70%80%77%77.9%81.3%72%
  • Pain Management

    "During this hospital stay, did you need medicine for pain?" (2-point scale: 1-No, 2-Yes)
    "During this hospital stay, how often was your pain well controlled?"

    (4-point scale: 1-Never, 2-Sometimes, 3-Usually, 4-Always.)

    (Percent satisfied is "Yes" and "Always".)

    If patients needed medicine for pain during their hospital stay, the survey asked how often their pain was well controlled. “Well controlled” means their pain was well controlled and that the hospital staff did everything they could to help patients with their pain

    Table: Pain Management

    Percentage of Patients Who Got Medicine for Pain and Reported Their Pain Was Well Controlled
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1Benchmark
    76%77%74%74%74%69%73%71%
  • Primary Care Manager Continuity

    When your provider team is familiar with your medical history, it's good for you, especially if you have more complex medical issues. Our Patient Centered Medical Homes (PCMHs) help you see the same provider team. Your PCMH team aims to keep you healthy by suggesting preventive services that may prevent more complex problems later. We track this measure to find out how often you are seen by your assigned primary care manager (PCM).

    What we measure

    We measure the percent of appointments where the patient saw their own provider. We use our electronic health record to monitor which provider you see. We understand that there may be times when you want to be seen quickly – and don’t need to see your PCM, but we want to make sure you're seen by your primary medical team when you want. Ask for your provider by name. If we can’t get you an appointment with your provider, we'll try to get you seen by a provider on the same team. They know your medical needs and history. And, if you aren’t concerned about continuity of provider in some circumstances, let us know that, too.

    Graph: Primary Care Manager Continuity

    Percentage of Time a Provider Treats His/Her Assigned Patients

    Table: Primary Care Manager Continuity

    Percentage of Time a Provider Treats His/Her Assigned Patients
    2017-Jul2017-Aug2017-Sep2017-Oct2017-Nov2017-Dec2018-Jan2018-Feb2018-Mar2018-Apr2018-May2018-Jun2018-Jul2018-Aug2018-Sep2018-Oct2018-Nov2018-Dec2019-Jan2019-FebGoal
    41.2%43.2%41.3%46.5%45.9%43.4%39.5%43.8%44.5%44%43.1%45.2%42.9%49.4%50.8%50%55.8%59.7%61.7%60.3%65%
  • Quietness of Hospital Environment

    "During this hospital stay, how often was the area around your room quiet at night?"

    (4-point scale: 1-Never, 2-Sometimes, 3-Usually, 4-Always. Percent satisfied is "Always".)

    Patients reported how often their hospital room and bathroom were kept clean.

    Table: Quietness of Hospital Environment

    Percentage of Patients Who Reported Their Hospital Room Was Always Quiet
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3Benchmark
    55%55%54%58%55%60%58%56.8%59.5%62%
  • Recommend Hospital

    We value your opinion on your hospital stay. We want to see how we’re doing over time, and how we compare to civilian hospitals.

    What we measure

    We send out the same survey to all of our patients, whether you receive care from a military provider or a civilian provider in the network. This measure shows the results to the question: Would you recommend this hospital to others? Please complete and return any surveys you receive to us. We want to know what you think and how we can improve.

    Graph: Recommend Hospital

    Percentage of Patients Who Would Recommend this MTF to Others

    Table: Recommend Hospital

    Percentage of Patients Who Would Recommend this MTF to Others
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3National Civilian Benchmark Average
    78%78%84%79%75%82%81%76.1%78.7%71%
  • Responsiveness of Hospital Staff

    "During this hospital stay, after you pressed the call button, how often did you get help as soon as you wanted it?"
    "How often did you get help in getting to the bathroom or in using a bedpan as soon as you wanted?"

    (4-point scale: 1-Never, 2-Sometimes, 3-Usually, 4-Always. Percent satisfied is a cumulative 7 points or higher out of a total of 8 points.)

    Patients reported how often they were helped quickly when they used the call button or needed help in getting to the bathroom or using a bedpan.

    Table: Responsiveness of Hospital Staff

    Percentage of Patients Who Reported They Were Helped Quickly When They Used The Call Button
    FY2016 Q3FY2016 Q4FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3Benchmark
    74%76%73%76%76%74%75%75.2%79.5%68%
  • Satisfaction With Getting Needed Care

    Seeing your provider when you need to is important to you – and to us. We want to ensure that you get the care you need when you need it. This measure lets us know if you think we responded appropriately to your appointment request.

    What we measure

    We send out surveys to a sample of our patients after their health care appointments. We measure your satisfaction and study trends by each hospital or clinic, by markets, by regions, by Service, and for the entire system. This helps us see where and how we can do better. Please complete and return any surveys you receive to us. We want to know what you think and how we can improve. Take advantage of all of the opportunities to get care you need: the 24/7 Nurse Advice Line, secure email with your provider, or same-day appointments. We aim to ensure you get the care you need when you need it.

    Graph: Satisfaction With Getting Needed Care

    Percentage of Beneficiaries' Rating "Able to See Provider When Needed (Agree/Strongly Agree)"

    Table: Satisfaction With Getting Needed Care

    Percentage of Beneficiaries' Rating "Able to See Provider When Needed (Agree/Strongly Agree)"
    FY2017 Q1FY2017 Q2FY2017 Q3FY2017 Q4FY2018 Q1FY2018 Q2FY2018 Q3FY2018 Q4
    76%75%77%77%78%82%80.5%82.8%

Quality of Care

There are many factors the Military Health System tracks related to Quality of Care. For your convenience we have categorized these in the below sections:

  • Accreditation Status
    • We require our clinics and hospitals to undergo on-site surveys by nationally-recognized accreditation organizations every three years. 
    • We track accreditation status for all of our hospitals and clinics, along with when their last survey was completed.

    Table: Accreditation Status

    Accredidation Status
    Accredited
    2016-Dec
  • Admission Screening - Overall Rate

    Research has shown that many patients who are admitted to an acute psychiatric setting—or admitted to the hospital for mental health care—also have substance use disorders and history of trauma. 

    What we measure

    We measure the percentage of patients discharged from an inpatient mental health visit who get admission screening within the first three days of admission for all of the following: risk of violence to self or others, substance use, psychological trauma history, and patient strengths. 

    Each data point represents 12 consecutive months of data. 

    For example, the value listed for CY2017 Q1 represents one year’s worth of data dating back to Q2 of CY2016.

    Table: Admission Screening - Overall Rate

    Percentage of Psychiatiric Inpatients
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4
    93%86%100%100%
  • Admit Decision Time to Emergency Department (ED) Departure Time for Admitted Patients

    Median time (in minutes) from admit decision time to time of departure from the Emergency Department for admitted patients

    Graph: Admit Decision Time to Emergency Department (ED) Departure Time for Admitted Patients

    Median Time in Minutes

    Table: Admit Decision Time to Emergency Department (ED) Departure Time for Admitted Patients

    Median Time in Minutes
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4CY2018 Q1
    707387119100126116
  • Antenatal Steroids

    The National Institutes of Health recommends a type of steroid treatment for all pregnant women 24–34 weeks into pregnancy who are risk of preterm delivery. The treatment reduces the risks of respiratory distress syndrome, death of the baby in pregnancy, and other diseases or complications.

    What we measure

    We measure the percentage of pregnant women 24–32 weeks into pregnancy who are risk of preterm delivery who receive the recommended steroid treatment. Please note that each data point represents 12 consecutive months of data. For example, the value listed for CY2017 Q1 represents one year’s worth of data dating back to Q2 of CY2016.

    Table: Antenatal Steroids

    Percentage of Women 24-32 Weeks Into Pregnancy
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4
    NDND = No data availableNDPHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly
    PHI**
    NDND = No data availableNDNDND = No data availableNDNDND = No data availableNDNDND = No data availableND
  • Antidepressant Medication Management (Acute)

    The percentage of patients 18 years of age and older who were diagnosed with a new episode of major depression, treated with antidepressant medication, and who remained on an antidepressant medication for at least 84 days (12 weeks).

    Graph: Antidepressant Medication Management Acute

    Percentage of Patients Who Remained on an Antidepressant Medication For At Least 84 days

    Table: Antidepressant Medication Management (Acute)

    Percentage of Patients Who Remained on an Antidepressant Medication For At Least 84 days
    CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Benchmark
    73%73%75%72%76%74%75%77%80%PDPD = Proprietary dataPD
  • Antidepressant Medication Management (Continuation)

    The percentage of members 18 years of age and older who were treated with antidepressant medication, had a diagnosis of major depression and who remained on an antidepressant medication for at least 180 days (6 months).

    Graph: Antidepressant Medication Management Continuation

    Percentage of Patients Who Remained on an Antidepressant Medication For At Least 180 days

    Table: Antidepressant Medication Management (Continuation)

    Percentage of Patients Who Remained on an Antidepressant Medication For At Least 180 days
    CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Benchmark
    49%52%53%47%55%53%52%54%54%PDPD = Proprietary dataPD
  • Babies Delivered Electively

    A normal pregnancy is 40 weeks. Research has shown that babies who are 'full term' (39-41 weeks of pregnancy) are less likely to have complications and require Neonatal Intensive Care support.

    What we measure

    This is a measure that is tracked for the Military Health System and across the nation. We count the number of babies delivered by 'choice' (elective), who are younger (less) than 39 weeks, whose mother is not in labor and has no medical complications. Talk to your doctor about the best time to deliver your baby.

    Graph: Elective Delivery

    Percentage of Elective Deliveries Before 39 Weeks

    Table: Babies Delivered Electively

    Percentage of Elective Deliveries Before 39 Weeks
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4The National Rate
    0%0%PHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly
    PHI**
    0%0%0%2.35%
  • Breast Cancer Screen

    This measure tracks the percentage of women 50–74 years of age who had at least one mammogram to screen for breast cancer in the past two years. 

    Graph: Breast Cancer Screen

    Percentage of Women 50 - 74 Years Old Who Had At Least One Mammogram to Screen For Breast Cancer in the Past Two Years

    Table: Breast Cancer Screen

    Percentage of Women 50 - 74 Years Old Who Had At Least One Mammogram to Screen For Breast Cancer in the Past Two Years
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Average for health plans nationwide (HEDIS 50th Percentile)
    59%57%57%57%57%59%63%64%65%66%PDPD = Proprietary dataPD
  • Cervical Cancer Screen

    This measure shows the percentage of women age 21–64 years who had one or more Pap tests to screen for cervical cancer in the past 3 years. 

    Graph: Cervical Cancer Screen

    Percentage of Women 21 - 64 Years Old Who Had One or More Pap Tests to Screen For Cervical Cancer in the Past Three Years

    Table: Cervical Cancer Screen

    Percentage of Women 21 - 64 Years Old Who Had One or More Pap Tests to Screen For Cervical Cancer in the Past Three Years
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Average for health plans nationwide (HEDIS 50th Percentile)
    67%67%67%68%68%72%73%74%73%74%PDPD = Proprietary dataPD
  • Cesarean Section

    There is no ideal target for this measure. The data is collected so that facilities can identify whether their rates of cesarean birth vary from rates at other facilities. With this information, hospitals can explore differences in their medical management of women in labor.

    What we measure

    We measure the percentage of cesarean section deliveries among mothers having their first baby. Each data point represents 12 consecutive months of data. For example, the value listed for CY2017 Q1 represents one year’s worth of data dating back to Q2 of CY2016.

    Table: Cesarean Section

    Percentage of First Time Mothers
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4
    36%42%28%37%28%39%
  • Child Common Cold

    The common cold or upper respiratory infection (URI) is a common reason children visit their provider. Most of these infections are viral and an antibiotic won’t help. There’s a national effort to reduce overuse of antibiotics. Overuse is contributing to an increase in organisms that are resistant to popular antibiotics.

    What we measure

    We measure the number of children with an upper respiratory infection between the ages of 3 months to 18 years who were diagnosed with upper URI who weren't given an antibiotic prescription. A higher number is better. Talk to your provider about when antibiotics are appropriate to help prevent a global threat from antibiotic resistant organisms.

    Graph: Child Common Cold

    Percentage of Children 3 Months - 18 Years Diagnosed with an Upper Respiratory Infection and Were Not Given a Prescription

    Table: Child Common Cold

    Percentage of Children 3 Months - 18 Years Diagnosed with an Upper Respiratory Infection and Were Not Given a Prescription
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Average for health plans nationwide (HEDIS 50th Percentile)
    98%98%97%96%99%98%98%98%PDPD = Proprietary dataPD
  • Child Strep Test

    Pharyngitis, or inflammation of the throat, is the only condition among upper respiratory infections where your provider may determine that antibiotic use is appropriate. U.S. medical leaders recommend that only children diagnosed with group A streptococcus (strep) pharyngitis be treated with antibiotics. A strep test is the definitive test of group A strep pharyngitis.

    What we measure

    We measure the percentage of children, ages 3 to 18, who were diagnosed with pharyngitis, received a strep test and were given an antibiotic. If you think your child may have strep, ask for the test. If the test comes back positive and your child has strep, they should get an antibiotic. But, if the test is negative, an antibiotic isn’t needed.

    Graph: Child Strep Test

    Percentage of Children 3 Months - 18 Year Diagnosed with Pharyngitis Through a Strep Test and Received Antibiotics

    Table: Child Strep Test

    Percentage of Children 3 Months - 18 Year Diagnosed with Pharyngitis Through a Strep Test and Received Antibiotics
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Average for health plans nationwide (HEDIS 50th Percentile)
    62%62%51%55%60%69%76%85%PDPD = Proprietary dataPD
  • Chlamydia Screening

    The percentage of women 16 to 24 years of age who were identified as sexually active and who had at least one test for chlamydia during the measurement year.

    Graph: Chlamydia Screening

    Percentage of Woman Who Had At Least One Test For Chlamydia

    Table: Chlamydia Screening

    Percentage of Woman Who Had At Least One Test For Chlamydia
    CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Benchmark
    57%56%57%58%58%56%54%51%53%PDPD = Proprietary dataPD
  • Colorectal Cancer Screening

    This measure shows the number of our patients age 51 to 75 years who had a screening test for colorectal cancer. 

    Graph: Colorectal Cancer Screening

    Percentage of Patients 51 - 75 Years Old Who Had a Screening Test for Colorectal Cancer

    Table: Colorectal Cancer Screening

    Percentage of Patients 51 - 75 Years Old Who Had a Screening Test for Colorectal Cancer
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Average for health plans nationwide (HEDIS 50th Percentile)
    67%65%65%65%66%65%65%65%66%66%PDPD = Proprietary dataPD
  • Communication about Pain

    Graph: Communication about Pain

    Percentage of patients who were satisified with the frequency at which hospital staff asked them about their level of pain

    Table: Communication about Pain

    Percentage of patients who were satisified with the frequency at which hospital staff asked them about their level of pain
    FY2018 Q2FY2018 Q3
    74%75.4%
  • Diabetes A1c Control <8

    This measure shows the percentage of adults tested whose results show their diabetes is under control.

    Graph: Diabetes A1c Control <8

    Percentage of Patients Who Had an A1c Blood Sugar Test Whose Results Show Their Diabetes is Under Control

    Table: Diabetes A1c Control <8

    Percentage of Patients Who Had an A1c Blood Sugar Test Whose Results Show Their Diabetes is Under Control
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3Average for health plans nationwide (HEDIS 50th Percentile)
    52%48%50%52%51%57%61%PDPD = Proprietary dataPD
  • Diabetes A1c Test

    This measure shows the percentage of adults with diabetes who had an A1c blood sugar test.

    Graph: Diabetes A1c Test

    Percentage of Patients Who Had an A1c Blood Sugar Test

    Table: Diabetes A1c Test

    Percentage of Patients Who Had an A1c Blood Sugar Test
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Average for health plans nationwide (HEDIS 50th Percentile)
    70%68%69%69%70%78%83%86%84%84%PDPD = Proprietary dataPD
  • Exclusive Breast Milk Feeding

    U.S. medical leaders recommend that infants are fed only breast milk for six months after they are born. One measure of success is an increase in the rate of infants being fed only breast milk for the duration of their hospital stay after birth.

    What we measure

    We measure the percentage of newborns exclusively fed breast milk during the newborn’s entire hospitalization. Each data point represents 12 consecutive months of data. For example, the value listed for CY2017 Q1 represents one year’s worth of data dating back to Q2 of CY2016.

    Table: Exclusive Breast Milk Feeding

    Percentage of Newborns
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4
    72%100%97%65%66%75%
  • Health Care-Associated Bloodstream Infections in Newborns

    Infants with very low birth weight who are admitted into neonatal intensive care units and other hospital units face high risk of bloodstream infection. These infections result in more death in newborns, longer hospital stays, and increased health care costs.

    • Centers that effectively use infection prevention protocols should see lower rates of these infections in newborns. 
    • These methods range from simple hand-washing protocols or closed medication delivery systems to more elaborate quality improvement plans. 
    • This data can be used to find patterns and identify areas for improvement in preventing these infections in newborns.

    What we measure

    We measure the rate of newborns with bacterial infections in the bloodstream. Each data point represents 12 consecutive months of data. For example, the value listed for CY2017 Q1 represents one year’s worth of data dating back to Q2 of CY2016.

    Table: Health Care-Associated Bloodstream Infections in Newborns

    Percentage of High Risk Newborns
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4
    NDND = No data availableNDPHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly
    PHI**
    PHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly
    PHI**
    NDND = No data availableNDPHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly
    PHI**
    NDND = No data availableND
  • Hospital Acquired Potentially-Preventable VTE

    Pulmonary embolism or VTE is a common preventable cause of death in hospitalized patients. Research has shown that in many cases of death due to hospital-acquired VTE, the VTE was preventable, but no prevention treatment was given. Failure to prevent VTE can result in delayed hospital discharge or readmission, increased risk for long-term disease, or recurrent blood clots in the future. 

    What we measure

    We measure the percentage of patients who did not receive VTE prevention treatment after hospital admission and before diagnosis with VTE (out of patients who did not have VTE at admission but were diagnosed with VTE during hospitalization).

    Table: Hospital Acquired Potentially-Preventable VTE

    Percentage of Patients
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4
    PHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly
    PHI**
    NDND = No data availableNDNDND = No data availableNDNDND = No data availableNDNDND = No data availableNDNDND = No data availableND
  • Influenza Immunization

    We measure the number patients (age 6 months and older who are hospitalized during flu season) who are screened for previous flu vaccine and, if needed, given the flu vaccine, before being discharged from the hospital. 

    • Each data point represents 12 consecutive months of data. 
    • For example, the value listed for CY2017 Q1 represents one year’s worth of data dating back to Q2 of CY2016.

    Table: Influenza Immunization

    Percentage of Acute Care Inpatients
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4
    67%NDND = No data availableNDNDND = No data availableND57%NDND = No data availableND77%
  • Low Back Pain Imaging

    Evidence shows that many patients diagnosed with low back pain receive excessive medical tests that can lead to unnecessary worry and unneeded surgery. For the majority of individuals who experience severe low back pain, pain improves after two weeks. Avoiding imaging tests like x-ray, MRI, and CT scans can prevent harm to patients and reduce health care costs.

    What we measure

    We measure the percentage of adults age 18 to 50 years with a primary diagnosis of low back pain who didn’t have an imaging test (e.g., plain X-ray, MRI or CT scan) within 28 days of the diagnosis. A higher score means a better performance. Talk with your provider about alternatives to unnecessary medical tests for low back pain, and discuss alternatives to surgery for addressing your pain.

    Graph: Low Back Pain Imaging

    Percentage of Patients 18 - 50 Years Old Who Did Not Have an Imaging Test Within 28 Days of a Primary Diagnosis of Low Back Pain

    Table: Low Back Pain Imaging

    Percentage of Patients 18 - 50 Years Old Who Did Not Have an Imaging Test Within 28 Days of a Primary Diagnosis of Low Back Pain
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Average for health plans nationwide (HEDIS 50th Percentile)
    77%76%75%75%86%90%89%90%PDPD = Proprietary dataPD
  • Median Time from Emergency Department (ED) Arrival to ED Departure for Admitted ED Patients

    Median time (in minutes) from Emergency Department arrival to the time of Emergency Department departure for patients admitted to the facility from the Emergency Department

    Graph: Median Time from Emergency Department (ED) Arrival to ED Departure for Admitted ED Patients

    Median Time in Minutes

    Table: Median Time from Emergency Department (ED) Arrival to ED Departure for Admitted ED Patients

    Median Time in Minutes
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q3CY2017 Q4CY2018 Q1
    219220246288278278309
  • Median Time from Emergency Department (ED) Arrival to ED Departure for Discharged ED Patients

    Median time (in minutes) from Emergency Department arrival to time of departure from the Emergency Room for patients discharged from the Emergency Department


    Graph: Median Time from Emergency Department (ED) Arrival to ED Departure for Discharged ED Patients

    Median Time in Minutes

    Table: Median Time from Emergency Department (ED) Arrival to ED Departure for Discharged ED Patients

    Median Time in Minutes
    CY2018 Q1
    102
  • Mental Health Follow Up 30 Days

    Patients hospitalized to treat mental illness need follow up care. This follow up care helps make sure the progress made during the patient’s hospital stay transitions to the home or work environment. It also helps your health care team catch problems that might arise after leaving the hospital.

    What we measure

    We measure the percentage of discharges of individuals age 6 years and older who had a follow-up outpatient visit within 7 days and 30 days of discharge after being hospitalized for treatment of certain mental illnesses. If you have recently been discharged from a hospital for mental health care, please keep any scheduled appointments. If you aren’t sure if you have an appointment, call your mental health provider and schedule one.

    Graph: Mental Health Follow Up 30 Days

    Percentage of Discharges of Individuals Ages 6 Years and Older who had a Follow-up Outpatient Visit Within 30 Days of Discharge After Being Hospitalized for Treatment of Certain Mental Illnesses

    Table: Mental Health Follow Up 30 Days

    Percentage of Discharges of Individuals Ages 6 Years and Older who had a Follow-up Outpatient Visit Within 30 Days of Discharge After Being Hospitalized for Treatment of Certain Mental Illnesses
    CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Average for health plans nationwide (HEDIS 50th Percentile)
    83%80%75%84%89%91%83%85%86%PDPD = Proprietary dataPD
  • Mental Health Follow Up 7 Days

    Patients hospitalized to treat mental illness need follow up care. This follow up care helps make sure the progress made during the patient’s hospital stay transitions to the home or work environment. It also helps your health care team catch problems that might arise after leaving the hospital.

    What we measure

    We measure the percentage of discharges of individuals age 6 years and older who had a follow-up outpatient visit within 7 days and 30 days of discharge after being hospitalized for treatment of certain mental illnesses. If you have recently been discharged from a hospital for mental health care, please keep any scheduled appointments. If you aren’t sure if you have an appointment, call your mental health provider and schedule one.

    Graph: Mental Health Follow Up 7 Days

    Percentage of Discharges of Individuals Ages 6 Years and Older who had a Follow-up Outpatient Visit Within 7 Days of Discharge After Being Hospitalized for Treatment of Certain Mental Illnesses

    Table: Mental Health Follow Up 7 Days

    Percentage of Discharges of Individuals Ages 6 Years and Older who had a Follow-up Outpatient Visit Within 7 Days of Discharge After Being Hospitalized for Treatment of Certain Mental Illnesses
    CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Average for health plans nationwide (HEDIS 50th Percentile)
    73%69%66%76%79%82%71%75%75%PDPD = Proprietary dataPD
  • Multiple Antipsychotic Medications at Discharge with Appropriate Justification - Overall Rate

    For patients who are discharged from inpatient mental health care stay, we measure the percentage of those who are on two or more routinely scheduled antipsychotic medications with appropriate justification. 

    • The key is that justification is documented and included with discharge instructions. 
    • An increase in this measure means an improvement in the processes by which the facility prescribes these drugs. 
    • Each data point represents 12 consecutive months of data. 
    • For example, the value listed for CY2017 Q1 represents one year’s worth of data dating back to Q2 of CY2016.

    Table: Multiple Antipsychotic Medications at Discharge with Appropriate Justification - Overall Rate

    Percentage of Psychiatiric Inpatients
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4
    PHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly
    PHI**
    50%100%NDND = No data availableND
  • National Surgical Quality Improvement Program (NSQIP) All Cases Mortality (deaths related to surgery)

    NSQIP All Cases Mortality is the rate of unexpected deaths after surgery. It is the rate of deaths that happen within 30 days after a surgery. These deaths sometimes happen because of problems related to the operation. They can also happen for unrelated reasons. Some deaths happen because patients are very sick.

    What We Measure

    The MHS measures the rate of death in the first 30 days after a surgery. Then we compare these rates to those at hundreds of hospitals around the country. The rates are reported as one of three categories. The first, “exemplary,” means the facility had fewer deaths than would be expected in similar patients going through a similar surgery. The second, “as expected,” means that the site had about the same number of deaths as expected. The third, “needs improvement,” means the facility had more deaths than would be expected.

    These measures are a reliable look at surgical quality. They are National Surgical Quality Improvement Program, or NSQIP, measures. These are made by the American College of Surgeons. They are based on the best available data. It includes data about how patients are doing 30 days after surgery.

    Talk to your medical team about the steps the MHS is taking to prevent unexpected deaths after surgery. If you see something that doesn't seem right, ask about it.

    Graph: No Data

    Table: National Surgical Quality Improvement Program (NSQIP) All Cases Mortality (deaths related to surgery)

    Comparison to Benchmark
    7/1/2015 - 6/30/20161/1/2016 - 12/31/20167/1/2016 - 6/30/20171/1/2017 - 12/31/2017
    ExemplaryExemplaryExemplaryExemplary
  • National Surgical Quality Improvement Program All Case Morbidity (complications related to surgery)

    Surgical illness or injury measures look at a number of different complications that can result from surgery, like infections, operations on the wrong area, or a return to the operating room to correct a complication.

    What we measure

    We measure these complications to get an all case morbidity rate. This rate shows the likelihood a surgery will have some sort of complication. Talk to your medical team about the steps we’re taking to prevent complications after your surgery. If you see something that doesn’t seem right, ask about it.

    Table: National Surgical Quality Improvement Program All Case Morbidity (complications related to surgery)

    Comparison to Benchmark
    1/1/2015 - 12/31/20157/1/2015 - 6/30/20161/1/2016 - 12/31/20167/1/2016 - 6/30/20171/1/2017 - 12/31/2017
    ExemplaryAs ExpectedExemplaryAs ExpectedAs Expected
  • Number of Deliveries

    When you're having a baby, it's important that you have confidence in the hospital you are considering for delivery. Hospitals that have fewer deliveries may not have as many resources such as Neonatal ICU or Maternal-Fetal Medicine specialists. Hospitals that deliver more babies may have additional specialties and experience for complicated pregnancies.

    What we measure

    We count and report the number of babies delivered in our military hospitals both by cesarean or normal delivery.

    Graph: Number of Deliveries

    Number of Babies Delivered

    Table: Number of Deliveries

    Number of Babies Delivered
    CY2013CY2014CY2015CY2016
    188298427325
  • Tobacco Use Screening

    Tobacco use is a leading cause of death, leads to many other health problems, and results in increases health care expenses and loss in productivity. 

    • Tobacco cessation interventions have proven to be very effective by reducing the risk of developing tobacco-related disease and improving outcomes for those who already have tobacco-related disease. 
    • Patients who get help with tobacco dependence while they are hospitalized may improve their recovery and be more likely to quit tobacco.

    What we measure

    We measure the percentage of patients who are screened for tobacco use, out of all hospital admissions age 18 and older. Each data point represents 12 consecutive months of data. For example, the value listed for CY2017 Q1 represents one year’s worth of data dating back to Q2 of CY2016.

    Table: Tobacco Use Screening

    Percentage of Hospitalized Inpatients
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4
    68%76%82%85%
  • Tobacco Use Treatment at Discharge

    We measure the percentage of hospitalized patients 18 years of age and older identified as current tobacco users who were referred to evidence-based outpatient counseling and received a prescription for FDA-approved cessation medication at discharge. 

    • Each data point represents 12 consecutive months of data. 
    • For example, the value listed for CY2017 Q1 represents one year's worth of data dating back to Q2 of CY2016.

    Table: Tobacco Use Treatment at Discharge

    Percentage of Hospitalized Inpatients
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4
    0%17%0%PHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly
    PHI**
  • Tobacco Use Treatment Provided or Offered

    Out of all hospitalized patients 18 and older with an identified drug or alcohol use disorder, we measure the percentage of patients who got quit counseling and received FDA-approved quit medications. 

    • Each data point represents 12 consecutive months of data. 
    • For example, the value listed for CY2017 Q1 represents one year's worth of data dating back to Q2 of CY2016.

    Table: Tobacco Use Treatment Provided or Offered

    Percentage of Hospitalized Inpatients
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4
    8%14%41%42%
  • Tobacco Use Treatment Provided or Offered at Discharge

    Out of those inpatients age 18 and older who are active tobacco users, we measure the percentage of patients who were offered quit counseling and FDA-approved quit medications before being discharged.

    • Each data point represents 12 consecutive months of data. 
    • For example, the value listed for CY2017 Q1 represents one year's worth of data dating back to Q2 of CY2016.

    Table: Tobacco Use Treatment Provided or Offered at Discharge

    Percentage of Hospitalized Inpatients
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4
    14%0%19%31%
  • VTE Warfarin Therapy Discharge Instructions

    Anticoagulant drug therapy, or blood thinners, are prescribed for patients with VTE. These drugs limit the body’s ability to form clots in the blood. Adverse drug events can occur, and this type of therapy is complex and needs monitoring. Patient education that occurs before a patient leaves the hospital has been shown to help achieve successful outcomes and reduce readmission rates. 

    What we measure

    We measure the percentage of patients with VTE who leave the hospital on a blood thinner (warfarin) who also receive written discharge instructions that address all four criteria: compliance issues, dietary advice, follow-up monitoring, and information about the potential for adverse drug reactions or interactions. In increase in the rate of patients getting this important education with their blood thinner therapy shows improvement in the hospital’s process.

    Table: VTE Warfarin Therapy Discharge Instructions

    Percentage of Patients
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4
    NDND = No data availableNDNDND = No data availableNDPHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly
    PHI**
    NDND = No data availableND
  • Well-Child Visits in the first 15 Months of Life

    In the first 15 months of a child’s life, there are a number of preventive and monitoring services. These early services may lead to lifelong health and wellness.

    What we measure

    We measure the number of well-child visits in the first 15 months of life, for both military and civilian appointments. Our goal is a child will have 6 well-child visits during these 15 months.

    This measure sees if military children have timely, easy access to health care services. If you recently moved or changed providers, talk with your new doctor about what appointments your child has already had.

    Graph: Well Child Visits

    Percentage of Babies who Have Six Well-Child Visits in Their First 15 Months of Life

    Table: Well-Child Visits in the first 15 Months of Life

    Percentage of Babies who Have Six Well-Child Visits in Their First 15 Months of Life
    CY2016 Q1CY2016 Q2CY2016 Q3CY2016 Q4CY2017 Q1CY2017 Q2CY2017 Q3CY2017 Q4CY2018 Q1CY2018 Q2Average for health plans nationwide (HEDIS 50th Percentile)
    85%84%86%84%86%85%82%80%80%81%PDPD = Proprietary dataPD

 

DHA Address: 7700 Arlington Boulevard | Suite 5101 | Falls Church, VA | 22042-5101

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