Overview
The Patient Population section of the Facility Analyze Page contains patient demographics that make you the expert on your selected facility's patients. These metrics are found under the Patient Population tab.
The Patient Demographics tab includes the following:
- Patient Volume - Historical counts of patients by three different criteria.
- Location of Patient Residence - percentage of patient's county or ZIP code of residence.
- Diagnostic Breakout by Stay - counts of patient stays in each Trella Health Diagnostic Group for HHA patients discharged from the selected facility.
- Breakdown of patients by age.
Each of these sets of data can be viewed as a table or as a chart.
Understanding the Metrics
Patient Volume Table
The Patient Volume table provides metrics on the population of Medicare patients for the selected facility so you can gauge the facility's potential as a source of post-acute referrals.
The top grey box labeled Inpatient is a drop-down button that will allow you to change the content of the table to patient counts for outpatient discharges.
Total Distinct Patient Discharges
This number is the count of distinct Medicare patients treated by the facility during the quarter listed in the column header. Although the row header implies that these metrics are counts of discharges, these are counts of distinct patients.
The column "One Year Total" is not a total, it is a count of distinct patients where the metric in each row is applied to the most recent one-year reporting period.
HHA Patients
This is the count of distinct patients discharged from the selected facility who were admitted to home health during the quarter listed in the column header. In order to create a logical proximity between the discharge and subsequent post-acute care, we only count patients in this row who were admitted to home health within 30 days of discharge.
In-Facility Mortalities
This number is the count of patients who died while being treated at the selected facility.
Patient Locations
The Patient Residence table shows the percentage of patients treated by the selected facility within the one year reference period who resided in the listed county or ZIP code at the time their initial facility admission claim was filed. The one-year reference period aligns with the end of the last quarter for the data set included in Marketscape.
The patient percentages in this table are calculated from all Medicare claims for the selected facility, not just HHA related claims.
The grey box that contains, "County" is a drop-down that will allow you to switch the content in the table between percentages for county and ZIP Code.
County
For the selected facility, this table contains the names of the counties and the percentage of patients for each county from the facility's total patient count.
State
For providers who serve multiple states, sometimes there might be two counties in different states with the same name. We have added the state in which the county resides to differentiate the counties in this situation.
The State column is not included in the table if you have selected the ZIP Code view.
ZIP Code
For the selected facility, this table contains the ZIP Codes and the percentage of patients for each ZIP Code from the facility's total patient count.
Since these metrics are based on the patients' place of residence, it is possible to have counties or ZIP Codes from states other than the state of the facility's location. This will be especially true for facilities located in smaller states or near state lines. Those "out of state" counties or ZIP codes will only be included in this table if there is a sufficient count of patients. (See next.)
Aggregated INS Counties and "Other"
- Any and all counties where the percentage was calculated from a count of less than 11 patients will not be identified in the table but will be aggregated into the row titled, "Aggregated INS County."
- ZIP codes where the percentage would represent a count of less than 11 patients will not be identified in the table but will be aggregated into the row titled, “Other.”
- For example, if the agency had 100 patients in the reporting period, any county or ZIP code with 10% of the total or less would represent less than eleven patients in that location and therefore, that location will not be identified, but would be combined with all other locations also not specified.
Diagnostic Breakout by Stay
This table provides a percentage breakout by two different diagnosis models. For each diagnosis in either model, we provide a percentage of patient stays where the primary diagnosis on the claim aligns with the listed diagnostic category.
- Trella Health Diagnostic Grouping - This is Trella Health's unique diagnostic grouping model based on the ICD-10 Chapters. There are 20 different groups for all diagnoses, making this model very general.
- Diagnostic Related Group (DRG) - CMS uses this diagnostic grouping model as the model for billing under IPPS. There are more than 450 DRGs, so using this model allows you to identify the mix of diagnoses for your selected hospital in a high level of detail.
Trella Health Diagnostic Groupings
Use this diagnostic grouping model to identify broad areas of specialization as a connection between the selected facility and your agency.
Any and all diagnostic categories where the percentage was calculated from a count of less than 11 patients will not be identified in the table but will be aggregated into the row titled, "Aggregated INS diagnostic categories."
For more information see, Trella Health Diagnostic Groupings.
Inpatient DRG
As you can see from the image, using the Inpatient DRG diagnostic model provides a much more detailed view of the diagnoses for patients discharged from the selected hospital.
Not all DRG's will be available in this table. We only include DRGs where the diagnosis represents >=11 distinct patients and more than 1% of the the total distinct patients.
These diagnoses percentages only apply to patients discharged from inpatient care at the selected hospital.
CC is Complication or Comorbidity, MCC is Major Complication or Comorbidity.
Patient Age
This table gives a simple breakout of the patients for the selected facility by age.
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