Questions and Answers

  1. What is a Quality Report Card?
  2. What is Transparency?
  3. Why is Resurrection Health Care being transparent?
  4. Why are the scores color coded?
  5. Why does one hospital have a green color and one hospital have a red color for the same score?
  6. How often will this data be updated?
  7. What else should I consider when evaluating a hospital?
  8. How does Resurrection Health Care use this data to help improve quality of patient care?

Technical References

  1. How is the color coding calculated?
  2. What is the data source of the indicators used?
  3. What are some of the known limitations for using this report?

What is a Quality Report Card?

Our online Quality Report Card provides you with an overview of how Resurrection Health Care compares to national averages for specific performance factors. Our user-friendly site allows you to view our performance factors specific to clinical quality, patient safety, nursing care, outcomes and patient satisfaction. We focus on many performance measures to give you a rundown of Resurrection Health Care's level of quality in some of the following areas, including: heart attack, heart failure, pneumonia, surgery, mortality, patient satisfaction, dialysis and many more.

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What is Transparency?

Consumers deserve to know the quality and cost of their health care. Health care transparency provides consumers with the information necessary, and the incentive, to choose health care providers based on value. Providing reliable quality information allows for consumer choice. Consumer choice creates incentives at all levels, and motivates the entire system to provide better care. Improvements will come as providers can see how their practice compares to others. Transparency is a wide-ranging initiative enabling consumers to compare the quality of health care services, so they can make informed choices among doctors and hospitals.

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Why is Resurrection Health Care being transparent?

At Resurrection Health Care, our commitment is to the Mission and Core Values as founded by the Sisters of the Resurrection and the Sisters of the Holy Family of Nazareth. We respect the fact that patients, families, physicians and other associates can make better, informed decisions about their healthcare if they have access to our quality information. As part of our commitment, we carefully monitor and are accountable for our quality data which furthers RHC's mission of delivering excellent quality care and service to our communities. This allows us to continually improve, both internally and externally, to provide the best service possible to the communities we serve. We know that many factors are taken into consideration when choosing a hospital or service which best meets you and your family's needs, and that's what being 'transparent' is all about.

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Why are the scores color coded?

We color-code our results to denote which of our results fall above, at, or below national averages for that measurement. Green indicates our outcomes are above the average, yellow indicates our outcomes are at or within a small percentage of the average, and red indicates our outcomes are below the average.

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Why does one hospital have a green color and one hospital have a red color for the same score?

We also base our color-coding on a minimum number of cases for that specific procedure, this is why some indicators are green for one and red for the other, but the percentage is the same. If we do not meet the recommended national minimum of cases to qualify our results, we color them red. A hospital with a lower percentage for an indicator that's supposed to be low might be red because they have recorded fewer cases, compared to other hospitals that have a higher percentage for the same indicator but have recorded substantially more cases. Additionally, we have informational pop-up boxes that appear when you point and click at the indicator which provide details on that specific rating (e.g. number of patients in the measurement).

Keep in mind that the number of cases a hospital has makes the outcome more statistically significant. For example, consider Hospital X. Hospital X had only five patients, and none of those patients had any complications. Therefore, Hospital X's complication rate is 0%. But, even though the rate is 0%, it isn't accurate mathematically to say that Hospital X's rate is better than the national average of 5%, because there were only five patients treated there. If Hospital X treated 100 cases and had no complications, the outcome rate would be more significant than with fewer patients.

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How often will this data be updated?

We update our data quarterly as we're constantly gathering more data.

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What else should I consider when evaluating a hospital?

There are a lot of factors that go into choosing a hospital besides their quality outcomes. Looking at the quality of the physicians and nurses on staff, range of services and up-to-date technology, reputation around the communities they serve, are all good methods of choosing the right hospital for you.

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How does Resurrection Health Care use this data to help improve quality of patient care?

We use this data to not just measure ourselves to other health care systems, but to identify specifically what areas of patient care we can improve upon. By continually monitoring and updating our results, we can take steps to improve in those areas. These measurements also allow us to have more informed patients before they even come into our facilities.

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Technical References

How is the color coding calculated?

The color coding is determined by two different statistical methods.

The first method is applied to the Outcome of Care measures. This method uses a Hierarchical Regression Model to determine when a risk-adjusted rate is statistically different from the national rate. For more information, please refer to the "Learn More about Hospital Outcome of Care Measures" section on the Hospital Compare website.

The second method is applied to the Hospital Process of Care measures, the Hospital Patient Satisfaction measures and the Nursing Home Quality measures. This method uses a Binomial Test to detect whether the difference between the national average and the facility average is statistically significant. A 5% significance level is applied to the computations to determine if the facility score is statistically better than, the same as, or worse than the national average.

For those sections that we could not accurately compare ourselves to the national average, we listed the actual percentage for the indicator and if the percentage's desired performance should be high or low.

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What is the data source of the indicators used?

The data source is supplied by the Centers for Medicare and Medicaid Services (CMS). This federal agency collects data from medical facilities nationwide and allows the public to download the data. To download the data set, please refer to the Medicare website.

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What are some of the known limitations for using this report?

One of the limitations is that the Centers for Medicare and Medicaid Services (CMS) measures encompass a small percent of what patients may want to know about a hospital and the care that is provided. Additional information is needed to evaluate hospital care at the level of the patient's specific procedures or condition. Other factors that need to be considered include the range of services provided, state-of-the-art technology for areas such as MRI and CAT Scan, computer system capabilities, and the hospital's role within the community it serves.

A limitation for the CMS mortality data is that there is no indication if the patient had "do not resuscitate" orders or if the patient was in hospice care which would indicate that the patient's death was expected and not a result of the quality of care provided.

Although we follow CMS definitions, we still have internal decisions to make about how to display data, which statistical tests to run, etc. We hope that the Resurrection Health Care Quality Report helps contribute to the expanding interest in hospital quality performance and transparency in general.

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