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Program indicators

Program indicators allow generating calculated fields which can then be used to visualize data within DHIS2. We do not suggest you to modify program indicators to ensure the program operability, however, if you are in need of adding new health areas, please ensure that you also add its respective program indicator.

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Name

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Aggregation Type/
Analytic Type

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Expression

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Filter

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Overall Data Quality Score

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Indicateurs de programme

Les indicateurs de programme permettent de générer des champs calculés qui peuvent ensuite être utilisés pour visualiser les données dans DHIS2. Nous ne vous suggérons pas de modifier les indicateurs de programme pour garantir l'opérabilité du programme. Toutefois, si vous avez besoin d'ajouter de nouveaux domaines de santé, veillez à ajouter également l'indicateur de programme correspondant.

Nom	Agrégation Type/ Type analytique	Expression	Filtre
Score global de qualité des données	Moyenne/événement	`(((((#{vKV40XCuno0.SZ2rOnqWHRl} + #{vKV40XCuno0.RLZAabjkJuH} + #{vKV40XCuno0.LMeJ75Bjffa})` `/3)+(#{vKV40XCuno0.QHms8PT9aH6}) +` `(#{vKV40XCuno0.sOi40s2JqKB}) +` `(#{vKV40XCuno0.Sg6B9cSGTfO}100) +` `(#{vKV40XCuno0.jJcDCaPqZwH}100) +` `(#{vKV40XCuno0.CzfIL9uW9EH}100) +` `#{vKV40XCuno0.jWWgAo2rkHo})/7) +` ((((d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhU.RdgEJJ99xlVRdgEJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing({NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))100))/(1 + A{WCUd72sd7bo})
2. System Assessment ScoreAverage/EventNote d'évaluation du système	Moyenne/événement	(((d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhU.RdgEJJ99xlVRdgEJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhU.aTc2qJNg9Ln})))) /(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))*100
3. Overall Data Verification ScoreAverage/EventScore global de vérification des données	Moyenne/événement	`(((#{vKV40XCuno0.SZ2OrnqWHRl})) + #{vKV40XCuno0.RLZAabjkJuH} + #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6}) +(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100) +(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}*100) +#{vKV40XCuno0.jWWgAo2rkHo})/7`
3.1 AvailabilityDisponibilité	AverageMoyenne/Eventévénement	`#{vKV40XCuno0.QHms8PT9aH6}`
3.2 CompletenessComplétude	AverageMoyenne/Eventévénement	`#{vKV40XCuno0.sOi40s2JqKB}`
3.3 TimelinessRespect des délais	AverageMoyenne/Eventévénement	`#{vKV40XCuno0.jWWgAo2rkHo}`
3.4 IntegrityIntégrité	AverageMoyenne/Eventévénement	`#{vKV40XCuno0.jJcDCaPqZwH} * 100`
3.5 ConfidentialityConfidentialité	AverageMoyenne/Eventévénement	`#{vKV40XCuno0.Sg6B9cSGTfO}*100`
3.6 PrecisionPrécision	AverageMoyenne/Eventévénement	`#{vKV40XCuno0.CzfIL9uW9EH} * 100`
3.7 AccuracyPrécision	AverageMoyenne/Eventévénement	`(#{vKV40XCuno0.RLZAabjkJuH}+#{vKV40XCuno0.SZ2OrnqWHRl}+#{vKV40XCuno0.LMeJ75Bjffa}) / V{value_count}`
3.7.1 Source vs. SummaryAverage/EventSource et résumé	Moyenne/événement	`#{vKV40XCuno0.RLZAabjkJuH}`
3.7.2 Source vsSource vs. MIS or donorou donateur	AverageMoyenne/Eventévénement	`#{vKV40XCuno0.SZ2OrnqWHRl}`
3.7.3 Summary Résumé vs. MIS or donorou donateur	AverageMoyenne/Eventévénement	`#{vKV40XCuno0.LMeJ75Bjffa}`
PI IP 1- Number of Assessments conductedCount/EnrollmentNombre d'évaluations réalisées	Comptage/inscription	`V{enrollmentcompte_countinscription}`
PI1.1- Number of Assessments conducted Nombre d'évaluations réalisées HA2	CountComptage/Enrollmentinscription	`V{enrollmentcompte_countinscription}`	`A{FHZRRuX1lyN} == 'HA2'`
PI1.2- Number of Assessments conducted Nombre d'évaluations réalisées HA8	CountComptage/Enrollmentinscription	`V{enrollmentcompte_countinscription}`	`A{FHZRRuX1lyN} == 'HA8'`
PI1.3- Number of Assessments conducted Nombre d'évaluations réalisées HA1	CountComptage/Enrollmentinscription	`V{enrollmentcompte_countinscription}`	`A{FHZRRuX1lyN} == 'HA1'`
PI1.4- Number of Assessments conducted Nombre d'évaluations réalisées HA4	CountComptage/Enrollmentinscription	`V{enrollmentcompte_countinscription}`	`A{FHZRRuX1lyN} == 'HA4'`
PI1.5- Number of Assessments conducted Nombre d'évaluations réalisées HA6	CountComptage/Enrollmentinscription	`V{enrollmentcompte_countinscription}`	`A{FHZRRuX1lyN} == 'HA6'`
PI1.6- Number of Assessments conducted Nombre d'évaluations réalisées HA7	CountComptage/Enrollmentinscription	`V{enrollmentcompte_countinscription}`	`A{FHZRRuX1lyN} == 'HA7'`
PI1.7- Number of Assessments conducted Nombre d'évaluations réalisées HA3	CountComptage/Enrollmentinscription	`V{enrollmentcompte_countinscription}`	`A{FHZRRuX1lyN} == 'HA3'`
PI1.8- Number of Assessments conducted Nombre d'évaluations réalisées HA5	CountComptage/Enrollmentinscription	`V{enrollmentcompte_countinscription}`	`A{FHZRRuX1lyN} == 'HA8'`
PI2.1 HA2 Overall Data Quality ScoreAverage/EventScore global de qualité des données	Moyenne/événement	(((((#{vKV40XCuno0.SZ2OrnqWHRl} + #{vKV40XCuno0.RLZAabjkJuH} + #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6}) +(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100) +(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}100) +#{vKV40XCuno0.jWWgAo2rkHo})/7) + ((((d2:zing(#{NzAJsKJKDhUNzAJsKJDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))100))/2	`A{FHZRRuX1lyN} == 'HA2'`
PI2.2 HA8 Overall Data Quality ScoreAverage/EventScore global de qualité des données pour HA8	Moyenne/événement	(((((#{vKV40XCuno0.SZ2OrnqWHRl} + #{vKV40XCuno0.RLZAabjkJuH} + #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6}) +(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100) +(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}100) +#{vKV40XCuno0.jWWgAo2rkHo})/7) + ((((d2:zing(#{NzAJsKJKDhUNzAJsKJDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))100))/2	`A{FHZRRuX1lyN} == 'HA8'`
PI2.3 HA1 Overall Data Quality ScoreAverage/EventScore global de qualité des données	Moyenne/événement	(((((#{vKV40XCuno0.SZ2OrnqWHRl} + #{vKV40XCuno0.RLZAabjkJuH} + #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6}) +(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100) +(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}100) +#{vKV40XCuno0.jWWgAo2rkHo})/7) + ((((d2:zing(#{NzAJsKJKDhUNzAJsKJDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))100))/2	`A{FHZRRuX1lyN} == 'HA1'`
PI2.4 HA4 Overall Data Quality ScoreAverage/EventScore de qualité globale des données	Moyenne/événement	(((((#{vKV40XCuno0.SZ2OrnqWHRl} + #{vKV40XCuno0.RLZAabjkJuH} + #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6}) +(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100) +(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}100) +#{vKV40XCuno0.jWWgAo2rkHo})/7) + ((((d2:zing(#{NzAJsKJKDhUNzAJsKJDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))100))/2	`A{FHZRRuX1lyN} == 'HA4'`
PI2.5 HA6 Overall Data Quality ScoreAverage/EventScore global de qualité des données	Moyenne/événement	(((((#{vKV40XCuno0.SZ2OrnqWHRl} + #{vKV40XCuno0.RLZAabjkJuH} + #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6}) +(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100) +(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}100) +#{vKV40XCuno0.jWWgAo2rkHo})/7) + ((((d2:zing(#{NzAJsKJKDhUNzAJsKJDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))100))/2	`A{FHZRRuX1lyN} == 'HA6'`
PI2.6 HA7 Overall Data Quality ScoreAverage/EventScore de qualité globale des données	Moyenne/événement	(((((#{vKV40XCuno0.SZ2OrnqWHRl} + #{vKV40XCuno0.RLZAabjkJuH} + #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6}) +(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100) +(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}100) +#{vKV40XCuno0.jWWgAo2rkHo})/7) + ((((d2:zing(#{NzAJsKJKDhUNzAJsKJDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))100))/2	`A{FHZRRuX1lyN} == 'HA7'`
PI2.7 HA3 Overall Data Quality ScoreAverage/EventScore de qualité globale des données	Moyenne/événement	(((((#{vKV40XCuno0.SZ2OrnqWHRl} + #{vKV40XCuno0.RLZAabjkJuH} + #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6}) +(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100) +(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}100) +#{vKV40XCuno0.jWWgAo2rkHo})/7) + ((((d2:zing(#{NzAJsKJKDhUNzAJsKJDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))100))/2	`A{FHZRRuX1lyN} == 'HA3'`
PI2.8 HA5 Overall Data Quality ScoreAverage/EventScore global de qualité des données pour HA5	Moyenne/événement	(((((#{vKV40XCuno0.SZ2OrnqWHRl} + #{vKV40XCuno0.RLZAabjkJuH} + #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6}) +(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100) +(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}100) +#{vKV40XCuno0.jWWgAo2rkHo})/7) + ((((d2:zing(#{NzAJsKJKDhUNzAJsKJDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))100))/2	`A{FHZRRuX1lyN} == 'HA5'`
PI3.1 HA2 System Assessment ScoreAverage/EventScore d'évaluation du système HA2	Moyenne/événement	(((d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhU.RdgEJJ99xlVRdgEJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))*100	`A{FHZRRuX1lyN} == 'HA2'`
PI3.2 HA8 System Assessment ScoreAverage/EventScore d'évaluation du système HA8	Moyenne/événement	(((d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhU.RdgEJJ99xlVRdgEJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))*100	`A{FHZRRuX1lyN} == 'HA8'`
PI3.3 HA1 System Assessment ScoreAverage/EventScore d'évaluation du système HA1	Moyenne/événement	(((d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhU.RdgEJJ99xlVRdgEJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))*100	`A{FHZRRuX1lyN} == 'HA1'`
PI3.4 HA4 System Assessment ScoreAverage/EventScore d'évaluation du système HA4	Moyenne/événement	(((d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhU.RdgEJJ99xlVRdgEJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))*100	`A{FHZRRuX1lyN} == 'HA4'`
PI3.5 HA6 System Assessment ScoreAverage/EventScore d'évaluation du système HA6	Moyenne/événement	(((d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhU.RdgEJJ99xlVRdgEJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))*100	`A{FHZRRuX1lyN} == 'HA6'`
PI3.6 HA7 System Assessment ScoreAverage/EventScore d'évaluation du système HA7	Moyenne/événement	(((d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhU.RdgEJJ99xlVRdgEJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))*100	`A{FHZRRuX1lyN} == 'HA7'`
PI3.7 HA3 System Assessment ScoreAverage/EventScore d'évaluation du système HA3	Moyenne/événement	(((d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhU.RdgEJJ99xlVRdgEJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))*100	`A{FHZRRuX1lyN} == 'HA3'`
PI3.8 HA5 System Assessment ScoreAverage/EventScore d'évaluation du système HA5	Moyenne/événement	(((d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT}))+(d2:zing(#{NzAJsKJKDhU.RHueZwfjJcq}))+(d2:zing(#{NzAJsKJKDhU.RdgEJJ99xlVRdgEJ99xlV}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed}))+(d2:zing(#{NzAJsKJKDhU.H6AQcCopXSx}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ}))+(d2:zing(#{NzAJsKJKDhU.IaMtr6EhTt5}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK}))+(d2:zing(#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))/(d2:zpvc(#{NzAJsKJKDhUNzAJsKKDhU.oBxLFCHv7lZ},#{NzAJsKJKDhUNzAJsKKDhU.vb1ihS1Gqki},#{NzAJsKJKDhUNzAJsKKDhU.a2gNg7bAdHP},#{NzAJsKJKDhUNzAJsKKDhU.kVsZd50zVxT},#{NzAJsKJKDhUNzAJsKKDhU.RHueZwfjJcq},#{NzAJsKJKDhUNzAJsKKDhU.RdgEJJ99xlV},#{NzAJsKJKDhUNzAJsKKDhU.tpVfAOmf1fw},#{NzAJsKJKDhUNzAJsKKDhU.jVMJnEvKBed},#{NzAJsKJKDhUNzAJsKKDhU.H6AQcCopXSx},#{NzAJsKJKDhUNzAJsKKDhU.ChO5Q7SxRV9},#{NzAJsKJKDhUNzAJsKKDhU.zumApDhgflJ},#{NzAJsKJKDhUNzAJsKKKDhU.IaMtr6EhTt5},#{NzAJsKJKDhUNzAJsKKDhU.AGG1bjLUfaF},#{NzAJsKJKDhUNzAJsKKDhU.yPrkCOwPN34},#{NzAJsKJKDhUNzAJsKKDhU.mfdzfMjp5qK},#{NzAJsKJKDhUNzAJsKKDhU.T5nBUYHFjdK},#{NzAJsKJKDhUNzAJsKKDhU.aTc2qJNg9Ln})))*100	`A{FHZRRuX1lyN} == 'HA7'`
PI4.1 HA2 Overall Data Verification ScoreAverage/EventScore global de vérification des données	Moyenne/événement	`(((#{vKV40XCuno0.SZ2OrnqWHRl})) + #{vKV40XCuno0.RLZAabjkJuH}` `+ #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6})` `+(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100)` `+(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}*100)` `+#{vKV40XCuno0.jWWgAo2rkHo})/7`	`A{FHZRRuX1lyN} == 'HA2'`
PI4.2 HA8 Overall Data Verification ScoreAverage/EventScore global de vérification des données pour HA8	Moyenne/événement	`(((#{vKV40XCuno0.SZ2OrnqWHRl})) + #{vKV40XCuno0.RLZAabjkJuH}` `+ #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6})` `+(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100)` `+(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}*100)` `+#{vKV40XCuno0.jWWgAo2rkHo})/7`	`A{FHZRRuX1lyN} == 'HA8'`
PI4.3 HA1 Overall Data Verification ScoreAverage/EventScore global de vérification des données	Moyenne/événement	`(((#{vKV40XCuno0.SZ2OrnqWHRl})) + #{vKV40XCuno0.RLZAabjkJuH}` `+ #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6})` `+(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100)` `+(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}*100)` `+#{vKV40XCuno0.jWWgAo2rkHo})/7`	`A{FHZRRuX1lyN} == 'HA1'`
PI4.4 HA4 Overall Data Verification ScoreAverage/EventScore global de vérification des données	Moyenne/événement	`(((#{vKV40XCuno0.SZ2OrnqWHRl})) + #{vKV40XCuno0.RLZAabjkJuH}` `+ #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6})` `+(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100)` `+(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}*100)` `+#{vKV40XCuno0.jWWgAo2rkHo})/7`	`A{FHZRRuX1lyN} == 'HA4'`
PI4.5 HA6 Overall Data Verification ScoreAverage/EventScore global de vérification des données	Moyenne/événement	`(((#{vKV40XCuno0.SZ2OrnqWHRl})) + #{vKV40XCuno0.RLZAabjkJuH}` `+ #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6})` `+(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100)` `+(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}*100)` `+#{vKV40XCuno0.jWWgAo2rkHo})/7`	`A{FHZRRuX1lyN} == 'HA6'`
PI4.6 HA7 Overall Data Verification ScoreAverage/EventScore global de vérification des données	Moyenne/événement	`(((#{vKV40XCuno0.SZ2OrnqWHRl})) + #{vKV40XCuno0.RLZAabjkJuH}` `+ #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6})` `+(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100)` `+(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}*100)` `+#{vKV40XCuno0.jWWgAo2rkHo})/7`	`A{FHZRRuX1lyN} == 'HA7'`
PI4.7 HA3 Overall Data Verification ScoreAverage/EventScore global de vérification des données	Moyenne/événement	`(((#{vKV40XCuno0.SZ2OrnqWHRl})) + #{vKV40XCuno0.RLZAabjkJuH}` `+ #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6})` `+(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100)` `+(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}*100)` `+#{vKV40XCuno0.jWWgAo2rkHo})/7`	`A{FHZRRuX1lyN} == 'HA3'`
PI4.8 HA5 Overall Data Verification ScoreAverage/EventScore global de vérification des données	Moyenne/événement	`(((#{vKV40XCuno0.SZ2OrnqWHRl})) + #{vKV40XCuno0.RLZAabjkJuH}` `+ #{vKV40XCuno0.LMeJ75Bjffa})/3)+(#{vKV40XCuno0.QHms8PT9aH6})` `+(#{vKV40XCuno0.sOi40s2JqKB}) +(#{vKV40XCuno0.Sg6B9cSGTfO}100)` `+(#{vKV40XCuno0.jJcDCaPqZwH}100) +(#{vKV40XCuno0.CzfIL9uW9EH}*100)` `+#{vKV40XCuno0.jWWgAo2rkHo})/7`	`A{FHZRRuX1lyN} == 'HA5'`

...

Indicateurs

In DHIS2, data analysis revolves around the fundamental concept of indicators. Indicators serve as calculated formulas that rely on a combination of data elements, category options, constants, and a factor. They come in two forms: those with a denominator and those without. Indicators without denominators are typically calculated totals comprising multiple data elements. On the other hand, coverage indicators such as ratios and percentages consist of two formulas: one for the numerator and another for the denominator.

...

Indicator

...

Indicator type

...

Numerator

...

Denominator

...

Overall Data Quality Score

...

Dans DHIS2, l'analyse des données s'articule autour du concept fondamental d'indicateurs. Les indicateurs sont des formules calculées qui reposent sur une combinaison d'éléments de données, d'options de catégories, de constantes et d'un facteur. Ils se présentent sous deux formes : les indicateurs avec dénominateur et les indicateurs sans dénominateur. Les indicateurs sans dénominateur sont généralement des totaux calculés comprenant plusieurs éléments de données. D'autre part, les indicateurs de couverture tels que les ratios et les pourcentages consistent en deux formules : une pour le numérateur et une autre pour le dénominateur.

Indicateur	Type d'indicateur	Numérateur	Dénominateur
Score global de qualité des données	1 - Atomique (nombre)	I{pG8suQU4II7} + I{sPU0rBR7um9}	2

...

Tableaux de bord

This section includes pivot tables that you need to create your own dashboard. To perform these dashboards we created new organisation units intended to work as examples, for real projects, please use your own organisation units.

RDQA Dashboard

Within this RDQA Dashboard section, you will find a quick overview of the number of assessments performed during a time period, disaggregated by location, health area, projects and donors. The following pivot tables were constructed using the Events Reports App and The Data Visualizer App within DHIS2. We will indicate which one was used.

Also, it is worth to mention that the time periods are modified depending on the period the data was acquired, on this technical manual, we have included randomized data during the periods of June and July of 2021. Also, organisation units were created along the way to serve as examples, please consider using your own organisation units to ensure data appears within DHIS2 accordingly.

RDQA - Number of assessment conducted per country

This is perfomed through the events reports app.
Table style: Pivot table
Output type: Event

Table layout:

...

Reporter filter

...

Column dimensions

...

Row dimensions

...

Value

...

None

...

Periods

...

Organisation units

...

Aggregation: Number of events
Time field: Event date
Org unit field: Event org unit

Results:

...

RDQA - Number of assessment conducted per health area

This is perfomed throught the events reports app.
Table style: Pivot table
Output type: Enrollment

Table layout:

...

Reporter filter

...

Column dimensions

...

Row dimension

...

Value

...

Organisation units

...

Periods

...

[PA] RDQA - Health Area

...

Aggregation: Number of events
Time field: Event date
Org unit field: Event org unit

Results:

...

RDQA - Overall Data Quality, Data verification & System Assessment Score

This is perfomed through the data visualizer App.

Table layout:

...

Columns

...

Rows

...

Filter

...

Data

...

Period

...

Organisation unit

Data elements/Program indicators:

...

Element

...

Type

...

Overall Data Quality Score

...

Program indicator

...

2. System Assessment Score

...

Program indicator

...

3. Overall Data Verification Score

...

Program indicator

Results:

...

RDQA - Overall Data quality score per health area

This is perfomed through the events reports app.
Table style: Line list
Output type: Enrollment

Table layout:

...

Excluded dimensions

...

Colum dimensions

...

Longuited

Latitude

...

Event date
Organisation unit
[PA] RDQA - Health Area
[PI] 1. Overall Data Quality Score
[PI] 2. System Assessment Score
[PI] 3. Overall Data Verification Score

Results:

...

RDQA - Data verification score per indicator and Donor

...

Excluded dimensions

...

Column dimensions

...

Longitude
Latitude

...

Event date
Organisation unit
[DE] RDQA - Accuracy - Accuracy
[DE] RDQA - Availability - % of available docs
[DE] RDQA - Completeness - % of completed docs
[DE] RDQA - Timeliness - ReportsOnTime
[DE] RDQA - Integrity - Data
[DE] RDQA - Confidentiality - Data
[DE] RDQA - Precision - Data
[DE] RDQA - Precision - Data
[DE] RDQA - Indicator - Indicator
[DE] RDQA - Donor List

Results:

...

RDQA Data Quality Score, Data verification & M&E Systems Assessment

The data visualizer app within DHIS2 is utilized to create the following tables.

RDQA - Health Area Scores

The Health Area Scores provide a quick overview of the data quality, system assessment and data verification score calculated within the RDQA Program while capturing the data and completing each event.

RDQA - Health area 1 Scores

Table configuration:

...

Columns

...

Rows

...

Filter

...

Data

...

Organisation Unit

...

Period

Data elements/Program indicators:

...

Element

...

Type

...

HA1 Overall Data Quality Score

...

Indicator

...

PI3.3 HA1 System Assessment Score

...

Program indicator

...

PI4.3 HA1 Overall Data Verification Score

...

Program indicator

Results:

...

RDQA - Health area 2 Scores

Table configuration:

...

Columns

...

Rows

...

Filter

...

Data

...

Organisation Unit

...

Period

Data elements/Program indicators:

...

Element

...

Type

...

HA2 Overall Data Quality Score

...

Indicator

...

PI3.1 HA2 System Assessment Score

...

Program indicator

...

PI4.1 HA2 Overall Data Verification Score

...

Program indicator

Results:

...

All other Health Area Score are built using the same configuration, however, it is important to change the Element based in the Health Area you are going to work with.

RDQA - Health Area Data Verification Score by indicator

In this section of the RDQA Dashboard, you find the verification score divided on all the areas the RDQA program grades. This includes accuracy, availability, completeness and other of the data within your organisation.

As opposed to the Health Area Scores which utilize the Data Visualizer App, the verification score by indicator utilizes the Event Reports. For projects of your own, modify your Organisation Units and Health Areas based on your needs.

RDQA - Accuracy by indicator

Table style: Pivot table
Output type: Event

Layout table:

...

Column dimensions

...

Row dimensions

...

Value

...

Aggregation type

...

Organisation units/
Periods

...

[DE] RDQA - Indicator - Indicator

...

Aggregation:
[DE] RDQA - Accuracy - Accuracy

...

Average

Results:

...

RDQA - Availability by indicator

Table style: Pivot table
Output type: Event

Layout:

...

Column dimensions

...

Row dimensions

...

Value

...

Aggregation type

...

Organisation units/
Periods

...

[DE] RDQA - Indicator - Indicator

...

Aggregation:
[DE]RDQA - Availability - % of available

...

Average

Results:

...

RDQA - Completeness by indicator

Table style: Pivot table
Output type: Event

Layout:

...

Column dimensions

...

Row dimensions

...

Value

...

Aggregation type

...

Organisation units/
Periods

...

[DE] RDQA - Indicator - Indicator

...

Aggregation:
[DE]RDQA - Completeness - % of completed docs

...

Average

Results:

...

RDQA - Completeness by indicator

Table Style: Pivot table
Output type: Event

Layout:

...

Column dimensions

...

Row dimensions

...

Value

...

Aggregation type

...

Organisation units/
Periods

...

[DE] RDQA - Indicator - Indicator

...

Aggregation:
[DE]RDQA - Precision - Data

...

Average

Results:

...

RDQA - Integrity by indicator

Table Style: Pivot table
Output type: Event

Layout:

...

Column dimension

...

Row dimensions

...

Value

...

Aggregation type

...

Organisation units/
Periods

...

[DE] RDQA - Indicator - Indicator

...

Aggregation:
[DE]RDQA - Integrity - Data

...

Average

ResultsCette section comprend les tableaux croisés dynamiques dont vous avez besoin pour créer votre propre tableau de bord. Pour réaliser ces tableaux de bord, nous avons créé de nouvelles unités d'organisation destinées à servir d'exemples. Pour les projets réels, veuillez utiliser vos propres unités d'organisation.

Tableau de bord RDQA

Dans cette section du tableau de bord de l'AQRD, vous trouverez un aperçu rapide du nombre d'évaluations réalisées au cours d'une période donnée, ventilées par lieu, zone de santé, projets et donateurs. Les tableaux croisés dynamiques suivants ont été élaborés à l'aide de l'application Rapports d'événements et de l'application Visualiseur de données du DHIS2. Nous indiquerons celle qui a été utilisée.

Il convient également de mentionner que les périodes sont modifiées en fonction de la période à laquelle les données ont été acquises. Dans ce manuel technique, nous avons inclus des données aléatoires pour les mois de juin et juillet 2021. En outre, des unités d'organisation ont été créées en cours de route pour servir d'exemples, veuillez envisager d'utiliser vos propres unités d'organisation pour vous assurer que les données apparaissent dans DHIS2 en conséquence.

RDQA - Nombre d'évaluations réalisées par pays

Cette opération s'effectue par l'intermédiaire de l'application "Rapports d'événements".
Style de tableau : Tableau croisé dynamique
Type de sortie : Événement

Disposition du tableau :

Filtre du rapporteur	Dimensions de la colonne	Dimensions des rangées	Valeur
Aucun	Périodes	Unités d'organisation	Agrégation : Nombre d'événements Champ temporel : Date de l'événement Champ de l'unité d'organisation : Unité d'organisation de l'événement

Résultats :

...

RDQA - Nombre d'évaluations réalisées par zone de santé

Cette opération s'effectue par l'intermédiaire de l'application "Rapports d'événements".
Style de tableau : Tableau croisé dynamique
Type d'édition : Inscription

Disposition du tableau :

Filtre du rapporteur	Dimensions de la colonne	Dimension de la ligne	Valeur
Unités d'organisation	Périodes	[PA] RDQA - Espace santé	Agrégation : Nombre d'événements Champ temporel : Date de l'événement Champ de l'unité d'organisation : Unité d'organisation de l'événement

Résultats :

...

RDQA - Qualité globale des données, vérification des données et score d'évaluation du système

Cette opération est réalisée par l'intermédiaire de l'application de visualisation des données (Data Visualizer App).

Disposition du tableau :

Colonnes	Rangs	Filtre
Données	Période	Unité d'organisation

Éléments de données/indicateurs de programme :

Élément	Type
Score global de qualité des données	Indicateur de programme
2. Note d'évaluation du système	Indicateur de programme
3. Score global de vérification des données	Indicateur de programme

Résultats :

...

RDQA - Score global de qualité des données par domaine de santé

Cette opération s'effectue par l'intermédiaire de l'application "Rapports d'événements".
Style de tableau : Liste de lignes
Type d'édition : Inscription

Disposition du tableau :

Dimensions exclues

Dimensions des colonnes

Longuités

Latitude

Date de l'événement
Unité d'organisation
[PA] RDQA - Espace santé
[PI] 1. Score global de qualité des données
[PI] 2. Score de l'évaluation du système
[PI] 3. Score global de vérification des données

Résultats :

...

RDQA - Score de vérification des données par indicateur et par donateur

Dimensions exclues

Dimensions de la colonne

Longitude
Latitude

Date de l'événement
Unité d'organisation
[DE] RDQA - Précision - Précision
[DE] RDQA - Disponibilité - % de documents disponibles
[RDQA - Complétude - % de documents complétés
[DE] RDQA - Respect des délais - ReportsOnTime
[DE] RDQA - Intégrité - Données
[DE] RDQA - Confidentialité - Données
[DE] RDQA - Précision - Données
[DE] RDQA - Précision - Données
[DE] RDQA - Indicateur - Indicateur
[DE] RDQA - Liste des donateurs

Résultats :

...

RDQA Score de qualité des données, vérification des données et évaluation des systèmes de S&E

L'application de visualisation des données du DHIS2 est utilisée pour créer les tableaux suivants.

RDQA - Scores dans le domaine de la santé

Les scores des domaines de santé donnent un aperçu rapide de la qualité des données, de l'évaluation du système et des scores de vérification des données calculés dans le cadre du programme AQRD lors de la saisie des données et de la réalisation de chaque événement.

RDQA - Domaine de la santé 1 Scores

Configuration du tableau :

Colonnes	Rangs	Filtre
Données	Unité d'organisation	Période

Éléments de données/indicateurs de programme :

Élément	Type
HA1 Score global de qualité des données	Indicateur
PI3.3 Score d'évaluation du système HA1	Indicateur de programme
PI4.3 HA1 Score global de vérification des données	Indicateur de programme

Résultats :

...

RDQA - Domaine de la santé 2 Scores

Configuration du tableau :

Colonnes	Rangs	Filtre
Données	Unité d'organisation	Période

Éléments de données/indicateurs de programme :

Élément	Type
HA2 Score global de qualité des données	Indicateur
PI3.1 Score d'évaluation du système HA2	Indicateur de programme
PI4.1 HA2 Score global de vérification des données	Indicateur de programme

Résultats :

...

Tous les autres scores de domaine de santé sont construits selon la même configuration, mais il est important de modifier l'élément en fonction du domaine de santé avec lequel vous allez travailler.

...

RDQA - Score de vérification des données du domaine de la santé par indicateur

Dans cette section du tableau de bord du RDQA, vous trouverez le score de vérification divisé en fonction de tous les domaines évalués par le programme RDQA. Cela comprend l'exactitude, la disponibilité, l'exhaustivité et d'autres aspects des données au sein de votre organisation.

Contrairement aux scores des domaines de santé qui utilisent l'application Data Visualizer, le score de vérification par indicateur utilise les rapports d'événements. Pour vos propres projets, modifiez vos unités d'organisation et vos domaines de santé en fonction de vos besoins.

RDQA - Précision par indicateur

Style de tableau : Tableau croisé dynamique
Type de sortie : Événement

Tableau de présentation :

Dimensions de la colonne	Dimensions des rangées	Valeur	Type d'agrégation
Unités d'organisation/ Périodes	[DE] RDQA - Indicateur - Indicateur	Agrégation : [DE] RDQA - Précision - Précision	Moyenne

Résultats :

...

RDQA - Disponibilité par indicateur

Style de tableau : Tableau croisé dynamique
Type de sortie : Événement

Mise en page :

Dimensions de la colonne	Dimensions des rangées	Valeur	Type d'agrégation
Unités d'organisation/ Périodes	[DE] RDQA - Indicateur - Indicateur	Agrégation : [DE]RDQA - Disponibilité - % de disponibilité	Moyenne

Résultats :

...

RDQA - Complétude par indicateur

Style de tableau : Tableau croisé dynamique
Type de sortie : Événement

Mise en page :

Dimensions de la colonne	Dimensions des rangées	Valeur	Type d'agrégation
Unités d'organisation/ Périodes	[DE] RDQA - Indicateur - Indicateur	Agrégation : [DE]RDQA - Complétude - % de documents complétés	Moyenne

Résultats :

...

RDQA - Complétude par indicateur

Style de tableau : Tableau croisé dynamique
Type de sortie : Événement

Mise en page :

Dimensions de la colonne	Dimensions des rangées	Valeur	Type d'agrégation
Unités d'organisation/ Périodes	[DE] RDQA - Indicateur - Indicateur	Agrégation : [DE]RDQA - Précision - Données	Moyenne

Résultats :

...

RDQA - Intégrité par indicateur

Style de tableau : Tableau croisé dynamique
Type de sortie : Événement

Mise en page :

Dimension de la colonne	Dimensions des rangées	Valeur	Type d'agrégation
Unités d'organisation/ Périodes	[DE] RDQA - Indicateur - Indicateur	Agrégation : [DE]RDQA - Intégrité - Données	Moyenne

Résultats :

...

Version	Old Version 1	New Version Current
Changes made by	Lango: Language and translation manager	Lango: Language and translation manager
Saved on	Oct 27, 2023	Oct 27, 2023

Versions Compared

Key

Program indicators

Indicateurs de programme

Indicateurs

Tableaux de bord

RDQA Dashboard

RDQA - Number of assessment conducted per country

RDQA - Number of assessment conducted per health area

RDQA - Overall Data Quality, Data verification & System Assessment Score

RDQA - Overall Data quality score per health area

RDQA - Data verification score per indicator and Donor

RDQA - Health Area Scores

RDQA - Health area 1 Scores

RDQA - Health area 2 Scores

RDQA - Health Area Data Verification Score by indicator

RDQA - Accuracy by indicator

RDQA - Availability by indicator

RDQA - Completeness by indicator

RDQA - Completeness by indicator

RDQA - Integrity by indicator

Tableau de bord RDQA

RDQA - Nombre d'évaluations réalisées par pays

RDQA - Nombre d'évaluations réalisées par zone de santé

RDQA - Qualité globale des données, vérification des données et score d'évaluation du système

RDQA - Score global de qualité des données par domaine de santé

RDQA - Score de vérification des données par indicateur et par donateur

RDQA - Scores dans le domaine de la santé

RDQA - Domaine de la santé 1 Scores

RDQA - Domaine de la santé 2 Scores

RDQA - Score de vérification des données du domaine de la santé par indicateur

RDQA - Précision par indicateur

RDQA - Disponibilité par indicateur

RDQA - Complétude par indicateur

RDQA - Complétude par indicateur

RDQA - Intégrité par indicateur