Observational Health Data Sciences and Informatics

This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong.
===== WNHR =====

==== Overview ====
^Name              |Westeros National Health Registry (WNHR)  |
^Description       |The WNHR is a national registry in Westeros. Information from hospitals, pharmacies, and GPs is linked using national person identifiers. This database is a unique source of information on dragon-related injuries |
^Data type         |National registry                         |
^Country           |Westeros                                  |
^E-mail            |info@whnr.ws                              |
^CDM version       |5.0                                       |
^Vocab version     |2016-03-11                                |
^ETL documentation |[[http://whnr.ws|Word document]]          |
^Last date of data capture |2015-12-31                        |

==== Population ====

^Population size          | 8.2 mln                           |
^Percent male / female    | 45% / 55%                         |
^Average number of observation periods per person | 1.25      |

== Age at first observation ==

<c3>
    data: {
        columns: [
            ['Percent of population', 2, 3, 5,8,5,7,3,8,6,9,11,14,11,10,8,9,4,3]
        ],
        type : 'bar',
    },
    axis: {
        x: {
            type: 'category',
            categories: ['0-4', '5-9', '10-14', '15-19', '20-24', '25-29', '30-34', '35-39', '40-44', '45-49', '50-54', '55-59', '60-64', '65-69', '70-74', '75-79', '80-84', '85-89']
        }
    }
</c3>

== Cumulative observation ==

<c3>
    data: {
        columns: [
            ['Cumulative percent of population', 80, 70, 40, 20, 5]
        ],
        type : 'line',
    },
    axis: {
        x: {
            type: 'category',
            categories: ['> 1 year', '>2 years', '> 3 years', '> 4 years', '> 5 years']
        },
        y: {
            min: 0,
            padding: {bottom: 0}
        }
    }
</c3>

== People with observation by year ==

<c3>
    data: {
        columns: [
            ['Percent of people with at least one day of observation', 10, 15, 30 ,45, 67, 56, 70]
        ],
        type : 'line',
    },
    axis: {
        x: {
            type: 'category',
            categories: ['2009', '2010', '2011', '2012', '2013', '2014', '2015']
        },
        y: {
            min: 0,
            padding: {bottom: 0}
        }
    }
</c3>

==== Data density ====

== Average number of records per person per domain per year == 

<c3>
    data: {
        columns: [
            ['Drug exposure', 5, 7, 13, 20, 21, 20, 23],
            ['Device exposure', 0, 0, 1, 1, 0, 0, 0],
            ['Condition occurrence', 3, 4, 7, 11, 9, 13, 14],
            ['Drug era', 4, 5, 11, 14, 18, 17, 18],
            ['Condition era', 3, 3, 5, 8, 7, 11, 12],
            ['Procedure', 2, 3, 4, 5, 4, 5, 6],
            ['Visit', 5, 5, 6, 7, 6, 8, 11],
            ['Death', 0, 1, 1, 2, 1, 3, 2],
            ['Measurement', 5, 6, 5, 7, 0, 9, 10],
            ['Observation', 5, 4, 5, 6, 5, 7, 9],

        ],
        type : 'line',
    },
    axis: {
        x: {
            type: 'category',
            categories: ['2009', '2010', '2011', '2012', '2013', '2014', '2015']
        },
        y: {
            min: 0,
            padding: {bottom: 0}
        }
    }
</c3>

== Average number of records per person per domain per setting ==

<c3>
    data: {
        columns: [
            ['Drug exposure', 5, 7, 13, 20],
            ['Device exposure', 0, 0, 0, 1],
            ['Condition occurrence', 3, 4, 7, 11],            
            ['Drug era', 4, 5, 11, 14],
            ['Condition era', 3, 3, 5, 8],
            ['Procedure', 2, 3, 4, 5],
            ['Visit', 5, 5, 6, 7],
            ['Death', 0, 1, 1, 2,],
            ['Measurement', 5, 6, 5, 7],
            ['Observation', 5, 4, 5, 6],

        ],
        type : 'bar',
        groups: [
            ['Drug exposure', 'Device exposure', 'Condition occurrence', 'Drug era', 'Condition era', 'Procedure', 'Visit', 'Death', 'Measurement', 'Observation']
        ]
    },
    axis: {
        x: {
            type: 'category',
            categories: ['Inpatient', 'Outpatient', 'ER', 'Unknown']
        }
    }
</c3>

== Percentage of records with cost information per domain ==

<c3>
    data: {
        columns: [
            ['% with cost info', 0, 90, 80, 10],
            ['% without cost info', 100, 10, 20, 90],                               
        ],
        type : 'bar',
        groups: [
            ['% with cost info', '% without cost info']
        ],
        colors: {
            '% without cost info': '#dddddd'
        },
    },
    axis: {
        rotated: true,
        x: {
            type: 'category',
            categories: ['Visit', 'Procedure', 'Drug', 'Device']
        }
    }
</c3>