The 36th Medical Group supports the 36th Wing in providing the President of the United States sovereign options to decisively employ airpower across the entire spectrum of engagement.
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.
- Some data is reported every month or quarter and some is reported once a year. Occasionally, a measure is no longer used. But we continue to provide the data from past years as a reference.
- The dates we report data may vary by measure. Measuring quality, safety, access and patient experience requires time to ensure data is valid and accurate.
- We report the same Healthcare Effectiveness Data and Information Set (HEDIS) used by many civilian health care practices to monitor quality of care provided in the MHS. Before posting HEDIS data, a National Committee for Quality Assurance (NCQA) certified auditor reviews and approves the measure process and data.
- We report some of the measures in Calendar Year (CY) and some measures in Fiscal Year (FY). Calendar years begin on January 1st. Fiscal years begin on October 1st.
- If you have questions, please contact the Patient Administration office at your military medical 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.
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Catheter Associated Urinary Tract Infections (CAUTI)
A catheter is a drainage tube that is inserted into a patient’s urinary bladder through the urethra. It is left in place to collect urine while a patient is immobile or incontinent. Catheters can become a way for germs to enter the body and cause infections in the urinary tract. These infections are called catheter-associated urinary tract infections (CAUTIs). They can cause additional illness. Catheters are used when medically necessary as determined by your provider. They are removed as soon as they are no longer needed.
What we measure
We track the number of infections developed by patients in the hospital 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’re 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. For more information please visit the Center for Disease Control website at https://www.cdc.gov/hai/ca_uti/cauti_faqs.html.
CAUTI data is updated twice a year in April and October.
Table:
Catheter Associated Urinary Tract Infections (CAUTI)
Comparison to Benchmark
| CY2016 Q1-Q2 | CY2016 Q3-Q4 | CY2017 Q1-Q2 | CY2017 Q3-Q4 | CY2018 Q1-Q2 | CY2018 Q3-Q4 | CY2019 Q1-Q2 | CY2019 Q3-Q4 | CY2020 Q1-Q2 | CY2020Q3-Q4 |
| NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND |
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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. This is so the patient can receive fluids or medication, or so that blood can be collected for medical tests. Central lines can become a way for germs to enter the body and cause infections in the blood. These infections are called central line-associated bloodstream infections (CLABSIs). Central lines are used when medically necessary as determined by your provider. They are removed as soon as they are no longer needed.
What we measure
We track the number of infections developed by patients in the hospital because of central-line devices. We look at the number of infections compared to the number of expected infections based on the number of patients who had central lines during the time frame being measured. For more information please visit the Center for Disease Control website at https://www.cdc.gov/hai/bsi/clabsi-resources.html.
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.
CLABSI data is updated twice a year in April and October.
Table:
Central Line Associated Blood Stream Infections (CLABSI)
Comparison to Benchmark
| CY2016 Q1-Q2 | CY2016 Q3-Q4 | CY2017 Q1-Q2 | CY2017 Q3-Q4 | CY2018 Q1-Q2 | CY2018 Q3-Q4 | CY2019 Q1-Q2 | CY2019 Q3-Q4 | CY2020 Q1-Q2 | CY2020Q3-Q4 |
| NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND |
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Joint Patient Safety Reporting
You expect us to keep you safe when you’re in one of our hospitals or clinics. One way we do that is by reporting and reviewing Patient Safety Events. That way, 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" or “close call” events. These are events that never reaches the patient, but could have resulted in harm under different circumstances. 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. This is because the MHS integrates dental into its medical system. More reporting doesn’t necessarily mean that a facility is less safe. It actually provides MHS with data to learn from and make improvements. Joint Patient Safety Reporting (JPSR) data are updated in April for the previous calendar year.
Download JPSR Report Data
Table:
Joint Patient Safety Reporting
Comparison to Benchmark
| CY2014 | CY2015 | CY2016 | CY2017 | CY2018 | CY2019 | CY2020 |
| 236 | 179 | 206 | 282 | 175 | 336 | 237 |
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Sentinel Events
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 or death to a patient. They require immediate reporting, response, and investigation. This measure is a facility specific one that shows you what sentinel events occurred in individual hospitals or clinics. Your military hospital or clinic may not be on this list. Some don’t provide services that can result in a Sentinel Event. Others may not have enough data to report in a way that protects patient privacy. Data are updated in April of each year and cover the previous calendar year.
Table:
Sentinel Events
Comparison to Benchmark
| CY2014 | CY2015 | CY2016 | CY2017 | CY2018 | CY2019 | CY2020 |
| NDND = No data availableND | PHIPHI = Too few patients to display due to risk of PHI releasePHI | NDND = No data availableND | NDND = No data availableND | NDND = No data availableND | PHIPHI = Too few patients to display due to risk of PHI releasePHI | NDND = No data availableND |
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:
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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
| 2019-Aug | 2019-Sept | 2019-Oct | 2019-Nov | 2019-Dec | 2020-Jan | 2020-Feb | 2020-Mar | 2020-Apr | 2020-May | 2020-Jun | 2020-Jul | 2020-Aug | 2020-Sep | 2020-Oct | 2020-Nov | 2020-Dec | 2021-Jan | 2021-Feb | 2021-Mar | 2021-Apr | 2021-May | 2021-Jun | 2021-Jul | Goal |
| 1.13 | 1.05 | 1.24 | 1.29 | 1.46 | 0.96 | 1.15 | 1.18 | 0.9 | 1.51 | 1.17 | 1.19 | 2.25 | 1.68 | 1.73 | 1.09 | 1.77 | 1.36 | 1.58 | 0.9 | 1.44 | 3.46 | 1.58 | 1.42 | 1 |
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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
| 2019-Aug | 2019-Sept | 2019-Oct | 2019-Nov | 2019-Dec | 2020-Jan | 2020-Feb | 2020-Mar | 2020-Apr | 2020-May | 2020-Jun | 2020-Jul | 2020-Aug | 2020-Sep | 2020-Oct | 2020-Nov | 2020-Dec | 2021-Jan | 2021-Feb | 2021-Mar | 2021-Apr | 2021-May | 2021-Jun | 2021-Jul | Goal |
| 12.7 | 7.39 | 5.68 | 6.76 | 6.51 | 6.41 | 5.7 | 7.71 | 4.27 | 2.47 | 1.71 | 2.51 | 5.89 | 5.3 | 5.76 | 4.64 | 6.64 | 8.55 | 8.93 | 4.7 | 5.64 | 7.41 | 5.43 | 5.38 | 7 |
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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
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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
| 2019-Apr | 2019-May | 2019-Jun | 2019-Jul | 2019-Aug | 2019-Sept | 2019-Oct | 2019-Nov | 2019-Dec | 2020-Jan | 2020-Feb | 2020-Mar | 2020-Apr | 2020-May | 2020-Jun | 2020-Jul | 2020-Aug | 2020-Sep | 2020-Oct | 2020-Nov | 2020-Dec | 2021-Jan | 2021-Feb | 2021-Mar | 2021-Apr | 2021-May | 2021-Jun | 2021-Jul | Goal |
| 69.9% | 81.4% | 63.7% | 55.4% | 67.1% | 72.4% | 54.9% | 58.5% | 66.7% | 83% | 83.8% | 78.3% | 81.7% | 70.3% | 72.2% | 66.7% | 61.3% | 48.8% | 67.8% | 77.5% | 79.3% | 78.2% | 74.4% | 82.1% | 80.59% | 71.26% | 76.8% | 70.17% | 65% |
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Provider Communication
It is important that providers communicate clearly and effectively with patients, their families, and caregivers. We want to ensure everyone understands and can use the information we provide to make healthy choices and good decisions about their healthcare. When provider-patient communication is effective, adherence to treatment recommendations increases, better health outcomes are achieved, and the patients and their families’ satisfaction with health care improves.
What we measure
Patients reported how well their provider explained things clearly, listened, showed respect, and whether they spent enough time with them. Please complete and return any surveys you receive to us. We want to know what you think and to learn what we are doing well and how we can improve.
This measure is reported quarterly. If the data appears to be a little delayed, please remember, it takes time to make sure the information is statistically valid in order to make improvements in our system that will benefit our patients.
Graph:
Provider Communication
Percentage of TROSS and JOES survey respondents selecting the top rating on select questions related to quality of care
Table:
Provider Communication
Percentage of TROSS and JOES survey respondents selecting the top rating on select questions related to quality of care
| FY2019 Q1 | FY2019 Q2 | FY2019 Q3 | FY2019 Q4 | FY2020 Q1 | FY2020 Q2 | FY2020 Q3 | FY2020 Q4 | FY2021 Q1 | FY2021 Q2 |
| 68% | 73% | 98% | PHI**PHI = Too few patients to display due to risk of PHI release
** = Low number of cases, percentages may vary greatlyPHI** | PHI**PHI = Too few patients to display due to risk of PHI release
** = Low number of cases, percentages may vary greatlyPHI** | PHI**PHI = Too few patients to display due to risk of PHI release
** = Low number of cases, percentages may vary greatlyPHI** | 95% | PHI**PHI = Too few patients to display due to risk of PHI release
** = Low number of cases, percentages may vary greatlyPHI** | PHI**PHI = Too few patients to display due to risk of PHI release
** = Low number of cases, percentages may vary greatlyPHI** | PHI**PHI = Too few patients to display due to risk of PHI release
** = Low number of cases, percentages may vary greatlyPHI** |
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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 Q1 | FY2017 Q2 | FY2017 Q3 | FY2017 Q4 | FY2018 Q1 | FY2018 Q2 | FY2018 Q3 | FY2018 Q4 | FY2019 Q3 | FY2019 Q4 | FY2020 Q1 | FY2020 Q2 | FY2020 Q3 | FY2020 Q4 | FY2021 Q1 |
| 81% | 77% | 75% | 92% | 59% | 92% | 91% | 86% | 80% | 74% | 76% | 83% | 76% | 69% | 89% |
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:
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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
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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 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | Benchmark |
| 74% | 74% | 74% | 76% | 76% | 79% | 79% | 74% | 79% | 79% | 77% | 72% | 71% | 69% | 76% | 81% | 81% | 81% | PDPD = Proprietary dataPD |
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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 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | Benchmark |
| 47% | 47% | 47% | 42% | 57% | 58% | 52% | 53% | 54% | 58% | 59% | 55% | 49% | 48% | 53% | 55% | 55% | 55% | PDPD = Proprietary dataPD |
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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. Data shown for this HEDIS measure is the most recently approved by NCQA.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q1 | CY2016 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | CY2020 Q4 | CY2021 Q1 | CY2021 Q2 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 87% | 100% | 86% | 86% | 86% | 57% | 50% | 78% | 80% | 83% | 100% | 100% | 89% | 70% | 91% | 86% | 83% | 75% | PHIPHI = Too few patients to display due to risk of PHI releasePHI | PHIPHI = Too few patients to display due to risk of PHI releasePHI | PHI**PHI = Too few patients to display due to risk of PHI release
** = Low number of cases, percentages may vary greatlyPHI** | 63% | PDPD = Proprietary dataPD |
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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. Data shown for this HEDIS measure is the most recently approved by NCQA.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q1 | CY2016 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | CY2020 Q4 | CY2021 Q1 | CY2021 Q2 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 82% | 81% | 82% | 81% | 82% | 82% | 81% | 83% | 86% | 88% | 87% | 88% | 87% | 84% | 85% | 85% | 83% | 90% | 89% | 88% | 88% | 88% | PDPD = Proprietary dataPD |
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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. Data shown for this HEDIS measure is the most recently approved by NCQA.
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.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q1 | CY2016 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 98% | 99% | 99% | 99% | 98% | 99% | 98% | 99% | 99% | 99% | 99% | 98% | 99% | 99% | 97% | 97% | 97% | PDPD = Proprietary dataPD |
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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. Data shown for this HEDIS measure is the most recently approved by NCQA.
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.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q1 | CY2016 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | CY2020 Q4 | CY2021 Q1 | CY2021 Q2 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 100% | 90% | 88% | 84% | 96% | 92% | 90% | 93% | 78% | 80% | 67% | 71% | 67% | 67%**** = Low number of cases, percentages may vary greatly67%** | 75% | 73% | 75% | 77% | 83% | 87% | PDPD = Proprietary dataPD |
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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. Data shown for this HEDIS measure is the most recently approved by NCQA.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | Benchmark |
| 68% | 68% | 69% | 71% | 72% | 70% | 66% | 64% | 65% | 70% | 76% | 78% | 74% | 73% | 73% | 73% | PHIPHI = Too few patients to display due to risk of PHI releasePHI | 70% | PDPD = Proprietary dataPD |
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Colorectal Cancer Screening
This measure shows the number of our patients age 51 to 75 years who had a screening test for colorectal cancer. Data shown for this HEDIS measure is the most recently approved by NCQA.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q1 | CY2016 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | CY2020 Q4 | CY2021 Q1 | CY2021 Q2 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 84% | 80% | 71% | 71% | 71% | 68% | 63% | 73% | 73% | 71% | 73% | 79% | 72% | 75% | 81% | 78% | 71% | 71% | 68% | 62% | 70% | 65% | PDPD = Proprietary dataPD |
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Diabetes A1c Control <8
This measure shows the percentage of adults tested whose results show their diabetes is under control. Data shown for this HEDIS measure is the most recently approved by NCQA.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q1 | CY2016 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 70% | 63% | 63% | 71% | 71% | 80% | 81% | 95% | 95% | 95% | PDPD = Proprietary dataPD |
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Diabetes A1c Test
This measure shows the percentage of adults with diabetes who had an A1c blood sugar test. Data shown for this HEDIS measure is the most recently approved by NCQA.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q1 | CY2016 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | CY2020 Q4 | CY2021 Q1 | CY2021 Q2 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 91% | 81% | 88% | 94% | 100% | 95% | 100% | 100% | 100% | 94% | 100% | 91% | 95% | 93% | 94% | 89% | 88% | 83% | 97% | PDPD = Proprietary dataPD |
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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. Data shown for this HEDIS measure is the most recently approved by NCQA.
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.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q1 | CY2016 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | CY2020 Q4 | CY2021 Q1 | CY2021 Q2 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 87% | 88% | 88% | 90% | 91% | 90% | 88% | 87% | 85% | 85% | 83% | 87% | 88% | 88% | 90% | 89% | 92% | 95% | 92% | 93% | PDPD = Proprietary dataPD |
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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. Data shown for this HEDIS measure is the most recently approved by NCQA.
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.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 91% | PHI**PHI = Too few patients to display due to risk of PHI release
** = Low number of cases, percentages may vary greatlyPHI** | 80% | PDPD = Proprietary dataPD |
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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. Data shown for this HEDIS measure is the most recently approved by NCQA.
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.
This is one of the measures from the Core Quality Measures Collaborative. Additional information can be found at: http://www.qualityforum.org/CQMC/
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 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2021 Q1 | CY2021 Q2 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 100% | 100% | 100% | 82% | 92% | 92% | 92% | 78% | 75% | 80% | 73% | PHI**PHI = Too few patients to display due to risk of PHI release
** = Low number of cases, percentages may vary greatlyPHI** | 70% | PHI**PHI = Too few patients to display due to risk of PHI release
** = Low number of cases, percentages may vary greatlyPHI** | 100% | PDPD = Proprietary dataPD |
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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. Data shown for this HEDIS measure is the most recently approved by NCQA.
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 Q1 | CY2016 Q2 | CY2016 Q3 | CY2016 Q4 | CY2017 Q1 | CY2017 Q2 | CY2017 Q3 | CY2017 Q4 | CY2018 Q1 | CY2018 Q2 | CY2018 Q3 | CY2018 Q4 | CY2019 Q1 | CY2019 Q2 | CY2019 Q3 | CY2019 Q4 | CY2020 Q1 | CY2020 Q2 | CY2020 Q3 | CY2020 Q4 | CY2021 Q1 | CY2021 Q2 | Average for health plans nationwide (HEDIS 50th Percentile) |
| 73% | 71% | 74% | 81% | 92% | 94% | 96% | 93% | 89% | 89% | 87% | 90% | 93% | 94% | 85% | 82% | 76% | 76% | 71% | 66% | 71% | 72% | PDPD = Proprietary dataPD |