Frequencies for hqi_ftnt dataset :

by Jean Roth , jroth@nber.org , 15 Nov 2016

Frequencies for footnote variable in hqi_ftnt dataset :

   Footnote |      Freq.     Percent        Cum.
------------+-----------------------------------
          * |          1        5.56        5.56
         ** |          1        5.56       11.11
          1 |          1        5.56       16.67
         10 |          1        5.56       22.22
         11 |          1        5.56       27.78
         12 |          1        5.56       33.33
         13 |          1        5.56       38.89
         14 |          1        5.56       44.44
         15 |          1        5.56       50.00
         18 |          1        5.56       55.56
          2 |          1        5.56       61.11
          3 |          1        5.56       66.67
          4 |          1        5.56       72.22
          5 |          1        5.56       77.78
          6 |          1        5.56       83.33
          7 |          1        5.56       88.89
          8 |          1        5.56       94.44
          9 |          1        5.56      100.00
------------+-----------------------------------
      Total |         18      100.00


Frequencies for footnote1 variable in hqi_ftnt dataset :

 Footnote 1 |      Freq.     Percent        Cum.
------------+-----------------------------------
          * |          1        5.56        5.56
         ** |          1        5.56       11.11
          1 |          1        5.56       16.67
         10 |          1        5.56       22.22
         11 |          1        5.56       27.78
         12 |          1        5.56       33.33
         13 |          1        5.56       38.89
         14 |          1        5.56       44.44
         15 |          1        5.56       50.00
         18 |          1        5.56       55.56
          2 |          1        5.56       61.11
          3 |          1        5.56       66.67
          4 |          1        5.56       72.22
          5 |          1        5.56       77.78
          6 |          1        5.56       83.33
          7 |          1        5.56       88.89
          8 |          1        5.56       94.44
          9 |          1        5.56      100.00
------------+-----------------------------------
      Total |         18      100.00


Frequencies for footnotetext variable in hqi_ftnt dataset :

                          Footnote Text |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
Data submitted were based on a sample.. |          1        5.56        5.56
Data suppressed by CMS for one or mor.. |          1        5.56       11.11
Fewer than 100 patients completed the.. |          1        5.56       16.67
For Maryland hospitals, no data are a.. |          1        5.56       22.22
No cases met the criteria for this me.. |          1        5.56       27.78
No data are available from the state/.. |          1        5.56       33.33
Results are based on a shorter time p.. |          1        5.56       38.89
Results are not available for this re.. |          1        5.56       44.44
Results cannot be calculated for this.. |          1        5.56       50.00
The lower limit of the confidence int.. |          1        5.56       55.56
The number of cases/patients is too f.. |          1        5.56       61.11
The number of cases/patients is too f.. |          1        5.56       66.67
The results for this state are combin.. |          1        5.56       72.22
There were discrepancies in the data .. |          1        5.56       77.78
This measure does not apply to this h.. |          1        5.56       83.33
This result is not based on performan.. |          1        5.56       88.89
This value was calculated using data .. |          1        5.56       94.44
Very few patients were eligible for t.. |          1        5.56      100.00
----------------------------------------+-----------------------------------
                                  Total |         18      100.00


by Jean Roth , jroth@nber.org , 15 Nov 2016