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Table 4 Mapping between VPM clinical-measured parameters (related to measurements from clinical evaluations) and Archetypes

From: Integrating an openEHR-based personalized virtual model for the ageing population within HBase

Parameters

Parameters Content

openEHR Archetypes Existing/New

Archetype items Used/Added

Nutrition

For each clinical assessment: Body Weight, Waist circumference, Body mass index, Body fat, Lean body mass, MNA [63] total score

EHR-OBSERVATION.body_weight.v2 EHR-OBSERVATION.waist_circumference.v1 EHR-OBSERVATION.body_mass_index.v1 EHR-OBSERVATION.body_composition.v1 EHR-OBSERVATION.body_mass_index.v1 EHR-OBSERVATION.mna_questionnaire.v0

Data.Body Weight (kg or lb) Data.Waist circumference (cm) Data.Body mass index Data.Fat mass Data.Body free mass index Data.Total score

Social interaction

1)Number of phone calls, 2)Number of text messages 3)Time spent speaking at the phone, 4)Time spent on video-conference 6)Living Conditions, 7)Number of leisure activities, 8)Membership in a leisure club

EHR-OBSERVATION. generalities_questionnaire.v0

Data.Phone Calls Data.Text Messages Data.Speaking Duration (min) Data.Video Conference Duration (min) Data.Living conditions, Data.Leisure activities, Data.Leisure club)

Cognitive State

MoCa [64], MMSE [65] questionnaires scores, subjective memory complain

EHR-OBSERVATION.moca_questionnaire.v0 EHR-OBSERVATION.mmse_questionnaire.v0 EHR-OBSERVATION. cognitive_mood_sleep_questionnaire.v0

Data.Total Score Data.Total score Data.Memory complain

Psychological State

GDS-15 [66] questionnaire score, self rated anxiety

EHR-OBSERVATION.gds-15_questionnaire.v0 EHR-OBSERVATION. visual_analogue_scale.v0

Data.Total score Data.Score

Physical condition

Single foot standing), Time Get up and Go, Gait-speed (4m), Lower Limb strength, Low physical activity

EHR-EVALUATION. gait_balance_evaluation.v0 EHR-OBSERVATION.fried_criteria.v0

Data.(Single foot standing, Time Get up and go, Gait speed 4m, Raise from the chair 5 times) Data.Low physical activity

Functional capacity

Score in Katz index [67] of ADL scale and score in Lawton’s ADL scale [68]

EHR-OBSERVATION.katz_index_questionnaire.v0 EHR-OBSERVATION.lawdon_adl_questionnaire.v0

Data.Total Score Data.Total score

General condition

Unintentional weight loss, Self-reported Exhaustion

EHR-OBSERVATION.fried_criteria.v0

Data.Exhaustion, Weight loss

Wellness

Self-rated: Quality of life, pain, health status, change since last year

EHR-OBSERVATION. visual_analogue_scale.v0

Data.Score

  

EHR-OBSERVATION.health_self_rating.v0

Data.(Health status, Change)

Lifestyle

Smoking, Alcohol Consuption, Physical activity

EHR-EVALUATION.tobacco_smoking_summary.v1 EHR-OBSERVATION.substance_use-alcohol.v1 EHR-OBSERVATION.physical_activity.v1

Data.Overall Status Data.(Frequency, Amount) Data.Physical activity level

Housing condition

Subjective suitability of the housing environment according to participant’s evaluation and investigator’s evaluation Number of steps to access the house

EHR-OBSERVATION.housing_condition.v0

Data.(Suitability (participant), Suitability (investigator), Number of steps)

Medical domain

Number of co-morbidities, Number of significant co-morbidities, Number of medications, Orthostatic hypotension, Vision, Hearing

EHR-EVALUATION.problem_diagnosis.v1 EHR-INSTRUCTION.medication_order.v2 EHR-COMPOSITION.report-result.v1

Data.(Problem/Diagnosis name, Severity) Activities.Order.Medication Context.Status

Frailty

Frailty phenotype categorization by Fried [62]

EHR-OBSERVATION.fried_criteria.v0

Data.Index

  1. Bold text indicates newly developed archetypes or added archetype items