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Hospital Americano
Base Naval de Rota
Rota 11530

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34-956-82-3305

  • Monday - Friday: 7:30 a.m. - 4:30 p.m.

U.S. Naval Hospital Rota

The U.S. Naval Hospital Rota is 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  Download Archived Measure 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.

  • 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/uti/about/cauti-basics.html?CDC_AAref_Val=https://www.cdc.gov/hai/ca_uti/cauti_faqs.html

     

     

    CAUTI data is updated four times a year in March, June, September, and December.

     

    Table: Catheter Associated Urinary Tract Infections (CAUTI)

    Comparison to Benchmark
    2015-Mar2015-Jun2015-Sep2015-Dec2016-Mar2016-Jun2016-Sep2016-Dec2017-Mar2017-Jun2017-Sep2023-Mar2023-Jun2023-Sep2023-Dec2024-Mar2024-Jun2024-Sep2024-DecBenchmark
    Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 11
  • 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/clabsi/about/?CDC_AAref_Val=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 four times a year in January, March, June, and September.

     

    Table: Central Line Associated Blood Stream Infections (CLABSI)

    Comparison to Benchmark
    2023-Mar2023-Jun2023-Sep2023-Dec2024-Mar2024-Jun2024-Sep2024-DecBenchmark
    Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 1Predicted Number of Infections < 11
  • 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.

    Table: Joint Patient Safety Reporting

    Comparison to Benchmark
    201520162017201820192020202120222023
    330256160334357206269335329
  • 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
    2014201520162017201820192020202120222023
    Click to closeNDND = No data availableNDClick to closeNDND = No data availableNDClick to closeNDND = No data availableNDClick to closeNDND = No data availableNDClick to closeNDND = No data availableNDClick to closeNDND = No data availableNDClick to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closeNDND = No data availableNDClick to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**

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, 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
    2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-Jan2025-FebGoal
    0.610.580.50.570.550.870.790.591.380.670.620.640.571.090.861.341.521.861.681.712.112.871.10.850.770.620.850.530.640.570.851
  • Access to Routine 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 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 Routine Care Appointments

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

    Table: Access to Routine Care Appointments

    Average Days Until Third Next Available Appointment For Routine or Follow-up Care
    2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-Jan2025-FebGoal
    1.771.765.064.121.272.741.221.281.030.830.871.341.36.792.681.982.682.332.398.14.516.457.662.52.313.818.2910.13.724.654.717
  • 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-Oct2019-Jun2019-Jul2019-Aug2019-Sep2019-Oct2019-Nov2019-Dec2020-Jan2020-Feb2020-Mar2020-Apr2020-May2020-Jun2020-Jul2020-Aug2020-Sep2020-Oct2020-Nov2020-Dec2021-Jan2021-Feb2021-Mar2021-Apr2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2023-Jan2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-Jan2025-Feb2025-MarGoal
    73%74%68%63%65%67%52%56%47%51%53%19%33%31%35%39%45%64%55%58%63%65%58%49%45%43%35%33%25%38%41%42%48%52%49%54%39%39%40%47%34%46%23%29%28%22%25%39%39%41%20%20%26%35%39%36%28%39%41%38%65%
  • 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 Joint Outpatient Experience Survey (JOES) respondents selecting the top rating on select questions related to quality of care

    Table: Provider Communication

    Percentage of Joint Outpatient Experience Survey (JOES) respondents selecting the top rating on select questions related to quality of care
    2020-Q12020-Q22020-Q32020-Q42021-Q12021-Q32021-Q42022-Q32022-Q42023-Q1Benchmark
    93%83%74%89%90%70%88%94%99%100%86%
  • 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
    2016-Q22016-Q32016-Q42017-Q12017-Q22017-Q32017-Q42018-Q12018-Q22018-Q32018-Q42019-Q12019-Q22019-Q3National Civilian Benchmark Average
    89%88%84%73%69%88%100%63%69%72%100%91%88%100%70%
  • 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 networks, 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)"
    2016-Jun2016-Jul2016-Aug2016-Sep2016-Oct2016-Nov2016-Dec2017-Jan2017-Feb2017-Mar2017-Apr2017-May2017-Jun2017-Jul2017-Aug2017-Sep2017-Oct2017-Nov2017-Dec2018-Jan2018-Feb2018-Mar2018-Apr2018-May2018-Jun2018-Jul2018-Aug2018-Sep2018-Oct2018-Nov2018-Dec2019-Jan2019-Feb2019-Mar2019-Apr2019-May2019-Jun2019-Jul2019-Aug2019-Sep2019-Oct2019-Nov2019-Dec2020-Jan2020-Feb2020-Mar2020-May2020-Jun2020-Jul2020-Aug2020-Sep2020-Oct2020-Nov2020-Dec2021-Jan2021-Feb2021-Mar2021-Apr2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Nov2024-Dec2025-Jan2025-Feb
    74%99%92%91%95%91%91%87%98%98%76%91%98%78%91%81%97%100%77%100%86%98%95%89%87%88%72%95%66%77%72%91%88%77%97%93%89%82%96%87%82%96%100%93%100%77%86%97%91%85%70%90%79%92%100%78%91%93%99%70%91%93%76%83%92%92%98%99%92%96%94%94%71%38%89%62%89%93%92%90%96%72%77%73%83%89%71%47%100%69%85%92%96%44%89%88%92%79%

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:

  • 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
    2020-Aug2020-Sep2020-Oct2020-Nov2020-Dec2021-Jan2021-Feb2021-Mar2021-Apr2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-DecBenchmark
    63%60%72%60%79%72%70%71%73%71%76%76%70%75%75%73%75%72%72%74%70%71%73%76%73%69%67%63%63%55%48%50%46%58%64%63%56%55%48%50%52%56%60%59%52%52%59%61%74%72%72%67%77%Click to closePDPD = 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
    2020-Aug2020-Sep2020-Oct2020-Nov2020-Dec2021-Jan2021-Feb2021-Mar2021-Apr2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-DecBenchmark
    31%27%39%20%37%33%40%43%41%38%32%28%26%29%29%31%32%38%41%47%41%44%36%45%45%44%42%43%40%39%28%29%19%15%18%46%41%39%34%36%32%32%36%37%36%35%41%39%37%39%39%27%23%Click to closePDPD = 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.

    This is one of the measures from the Core Quality Measures Collaborative.  Additional information can be found at: https://p4qm.org/CQMC.

    Graph: Elective Delivery

    Percentage of Elective Deliveries Before 39 Weeks

    Table: Babies Delivered Electively

    Percentage of Elective Deliveries Before 39 Weeks
    2020-Q42021-Q12021-Q22021-Q32022-Q12022-Q22022-Q42023-Q12023-Q22023-Q3The National Rate
    Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		0%2.2%
  • Breast Cancer Screening

    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: https://p4qm.org/CQMC.

    Graph: Breast Cancer Screening

    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 Screening

    Percentage of Women 50 - 74 Years Old Who Had At Least One Mammogram to Screen For Breast Cancer in the Past Two Years
    2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-DecAverage for health plans nationwide (HEDIS 50th Percentile)
    85%73%80%86%81%88%86%86%87%80%80%79%69%67%60%Click to closePDPD = Proprietary dataPD
  • Cervical Cancer Screening

    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: https://p4qm.org/CQMC.

    Graph: Cervical Cancer Screening

    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 Screening

    Percentage of Women 21 - 64 Years Old Who Had One or More Pap Tests to Screen For Cervical Cancer in the Past Three Years
    2020-Jan2020-Feb2020-Mar2020-Apr2020-May2020-Jun2020-Jul2020-Aug2020-Sep2020-Oct2020-Nov2020-Dec2021-Jan2021-Feb2021-Mar2021-Apr2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-JanAverage for health plans nationwide (HEDIS 50th Percentile)
    92%93%93%91%90%90%91%90%90%93%94%93%92%91%93%93%93%92%92%92%91%89%90%90%89%88%87%87%87%87%88%89%89%87%88%87%88%87%87%88%88%88%89%88%88%88%88%87%88%87%91%92%91%91%90%89%88%88%86%85%84%Click to closePDPD = 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

    This is one of the measures from the Core Quality Measures Collaborative.  Additional information can be found at: https://p4qm.org/CQMC.    

    Table: Cesarean Section

    Percentage of First Time Mothers
    2022-Q12023-Q4Benchmark
    Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		33%25.40%
  • 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: https://p4qm.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
    2020-Mar2020-Apr2020-May2020-Jun2020-Jul2020-Aug2020-Sep2020-Oct2020-Nov2020-Dec2021-Jan2021-Feb2021-Mar2021-Apr2021-May2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-JanBenchmark
    73%71%68%68%70%72%78%81%82%81%78%79%79%80%80%78%80%78%77%77%77%74%71%71%73%78%74%63%66%67%68%68%65%66%66%70%63%59%60%61%64%66%65%69%70%65%66%68%68%63%63%61%58%52%53%54%54%56%Click to closePDPD = Proprietary dataPD
  • Colorectal Cancer Screening

    This measure shows the number of our patients age 45 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: https://p4qm.org/CQMC.

    Graph: Colorectal Cancer Screening

    Percentage of Patients 45 - 75 Years Old Who Had a Screening Test for Colorectal Cancer

    Table: Colorectal Cancer Screening

    Percentage of Patients 45 - 75 Years Old Who Had a Screening Test for Colorectal Cancer
    2021-Jan2021-Feb2021-Mar2021-Apr2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-JanAverage for health plans nationwide (HEDIS 50th Percentile)
    48%47%48%48%49%48%46%46%49%48%46%49%46%46%48%49%50%46%50%54%55%58%59%59%61%60%61%60%61%61%65%66%69%69%69%69%72%69%71%70%67%68%68%67%63%65%64%63%64%Click to closePDPD = Proprietary dataPD
  • Diabetes A1c Test

    This measure shows the percentage of percent of adult patients (ages 18-75) 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: https://p4qm.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
    2021-Apr2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-JanAverage for health plans nationwide (HEDIS 50th Percentile)
    93%94%93%87%86%82%91%92%93%87%92%100%100%100%100%100%94%90%91%91%90%90%86%90%80%86%91%91%88%88%92%88%88%86%90%90%90%86%86%81%80%85%89%93%93%93%Click to closePDPD = 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.

    This is one of the measures from the Core Quality Measures Collaborative.  Additional information can be found at: https://p4qm.org/CQMC.

    Table: Exclusive Breast Milk Feeding

    Percentage of Newborns
    2023-Q4Benchmark
    82%49.90%
  • 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: https://p4qm.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
    2021-Apr2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-JanAverage for health plans nationwide (HEDIS 50th Percentile)
    86%88%88%90%89%90%90%90%90%91%91%92%93%93%91%91%89%89%89%89%89%88%86%85%83%81%80%80%81%80%79%78%77%77%77%75%74%75%74%74%76%77%78%80%76%77%Click to closePDPD = Proprietary dataPD
  • 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: https://p4qm.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
    2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-JanAverage for health plans nationwide (HEDIS 50th Percentile)
    Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		100%Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		100%100%Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		100%100%100%100%100%100%100%94%93%92%Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		90%90%90%85%92%90%Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePDPD = 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. 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: https://p4qm.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
    2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-JanAverage for health plans nationwide (HEDIS 50th Percentile)
    Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		90%Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		100%100%Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		90%86%86%85%82%79%81%75%73%67%Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		70%70%70%69%77%80%Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePHI**PHI = Too few patients to display due to risk of PHI release
    ** = Low number of cases, percentages may vary greatly    PHI**    		Click to closePDPD = Proprietary dataPD
  • National Surgical Quality Improvement Program (NSQIP) All Cases Morbidity (All complications 30 days after 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 (NSQIP) All Cases Morbidity (All complications 30 days after surgery)

    The MHS measures the rate of complications from MTF surgery from the day of surgery up to the 30th day after the primary procedure as compared to the National Benchmark. This rate shows the likelihood an MTF patient will have some sort of complication from surgery.
    2018-Dec2019-Dec2022-Dec2023-Dec2024-JunBenchmark
    As ExpectedAs ExpectedAs ExpectedAs ExpectedAs ExpectedAs Expected
  • National Surgical Quality Improvement Program (NSQIP) All Cases Mortality (All deaths 30 days after 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 (All deaths 30 days after surgery)

    The MHS measures the rate of any death, regardless of cause, during surgery or within the first 30 days after an MTF procedure as compared to the National Benchmark. This rate shows the likelihood an MTF patient will die from some sort of complication from surgery.
    2018-Dec2019-Dec2022-Dec2023-Dec2024-JunBenchmark
    As ExpectedAs ExpectedAs ExpectedAs ExpectedAs ExpectedAs Expected
  • 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 individuals 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 enrollees ages 3 months of age and older, who were diagnosed with pharyngitis, received a strep test and were given an antibiotic. If you think you 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: https://p4qm.org/CQMC. 

    Graph: Strep Test

    Percentage of Beneficiaries Diagnosed with Pharyngitis Through a Strep Test and Received Antibiotics

    Table: Strep Test

    Percentage of Beneficiaries Diagnosed with Pharyngitis Through a Strep Test and Received Antibiotics
    2020-Feb2020-Mar2020-Apr2020-May2020-Jun2020-Jul2020-Aug2020-Sep2020-Oct2020-Nov2020-Dec2021-Jan2021-Feb2021-Mar2021-Apr2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-JanBenchmark
    90%90%90%88%87%89%89%90%91%92%92%93%96%96%98%97%95%92%92%90%90%88%87%85%85%83%83%85%86%88%88%89%88%88%88%87%88%90%89%89%89%88%88%89%89%90%90%90%91%89%90%89%90%90%90%89%90%90%90%90%Click to closePDPD = Proprietary dataPD
  • Treatment of Common Cold

    The common cold or upper respiratory infection (URI) is a common reason individuals 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 visits of enrollees with an upper respiratory infection for 3 months of age and older 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: https://p4qm.org/CQMC.

    Graph: Treatment of Common Cold

    Percentage of Beneficiaries Diagnosed with an Upper Respiratory Infection and Were Not Given a Prescription

    Table: Treatment of Common Cold

    Percentage of Beneficiaries Diagnosed with an Upper Respiratory Infection and Were Not Given a Prescription
    2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-DecBenchmark
    99%99%99%99%99%98%98%99%99%98%98%98%98%99%98%98%98%98%99%98%98%98%98%98%98%98%98%98%98%98%98%98%98%98%98%98%99%99%99%99%99%99%99%99%Click to closePDPD = Proprietary dataPD
  • Unexpected Complications in Term Newborns

    Graph: Unexpected Complications in Term Newborns

    Percentage of full-term newborns (birth-28 days) with no preexisting conditions and unexpected complications

    Table: Unexpected Complications in Term Newborns

    Percentage of full-term newborns (birth-28 days) with no preexisting conditions and unexpected complications
    2023-Q4Benchmark
    20%30.80%
  • 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
    2020-Mar2020-Apr2020-May2020-Jun2020-Jul2020-Aug2020-Sep2020-Oct2020-Nov2020-Dec2021-Jan2021-Feb2021-Mar2021-Apr2021-May2021-Jun2021-Jul2021-Aug2021-Sep2021-Oct2021-Nov2021-Dec2022-Jan2022-Feb2022-Mar2022-Apr2022-May2022-Jun2022-Jul2022-Aug2022-Sep2022-Oct2022-Nov2022-Dec2023-Jan2023-Feb2023-Mar2023-Apr2023-May2023-Jun2023-Jul2023-Aug2023-Sep2023-Oct2023-Nov2023-Dec2024-Jan2024-Feb2024-Mar2024-Apr2024-May2024-Jun2024-Jul2024-Aug2024-Sep2024-Oct2024-Nov2024-Dec2025-JanAverage for health plans nationwide (HEDIS 50th Percentile)
    93%91%88%87%86%85%85%81%79%79%79%77%76%77%78%76%76%77%76%78%79%78%79%79%84%83%85%91%90%88%88%87%86%87%85%86%86%87%87%84%84%85%84%84%85%81%82%81%82%81%78%79%80%81%81%82%82%81%80%Click to closePDPD = Proprietary dataPD