Returns details of the frequency of use of the 42 descriptors recorded for painchek assessments. Details are by default returned for the most commonly used 10 descriptors in assessments where there is pain.
See Managing PainChek Assessments for a list of the descriptors.
The descriptors returned can vary for each partition. e.g. “Groaning” may be in the list for one month, but not the following month.
The metrics are calculated when descriptor is included in the metric_pool list for Analytics Endpoint. They are calculated per partition, via an invoked procedure ss_descriptor_metrics_for_partition.
Metrics are calculated over assessment_data = assessments which can be filtered by license, user, site, patient, start date and end date as inherited from the endpoint call.
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Metric Key |
Definition |
Example |
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Count of assessments with assessment_pain_level = “mild”, “moderate” or “severe“ |
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An array of pain descriptors (names) of length num_descriptors. Ordered the same way as |
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A decreasing ordered array of counts of the number of |
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An array of percentages, calculated as Ordered the same way as |
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{
"assessment_count": 2,
"descriptor_names": ["Groaning", "Freezing", "Restlessness", "Altered Sleep", "Cheek Raising", "Pulling Corner Lip", "Verbally Offensive", "Raising Upper Lip", "Crying", "Requesting Help"]
"descriptor_counts": [3, 3, 2, 2, 2, 1, 1, 1, 1, 1]
"descriptor_percentages": [100.0, 100.0, 66.7, 66.7, 66.7, 33.3, 33.3, 33.3, 33.3, 33.3]
}