ndr_example: Line-list of 50,000 Simulated Clients Provided in the NDR...
In tidyndr: Analysis of the Nigeria National Data Repository (NDR)
ndr_example R Documentation
Line-list of 50,000 Simulated Clients Provided in the NDR Format.
Description
A dataset containing clients' details that were randomly generated to simulate
the NDR patient line-list downloaded from the front-end of the Nigeria National Data
Repository. Three additional variables are added for easy referencing during analysis.
These variables are: date_ltfu, appointment_date and current_status.
Usage
ndr_example
Format
A data frame with 50000 rows and 52 variables:
- ip
Implementing Partner
- state
State of registration of client
- lga
Local Government Area where client was registered
- facility
Facility where the client was registered
- datim_code
'DATIM CODE' of the facility of registration
- sex
The gender that the client identified as, "M" or "F"
- patient_identifier
Patient unique id
- hospital_number
assigned hospital reference number
- date_of_birth
Birth day of client, in "yyyy-dd-mm"
- age_at_art_initiation
Age of client at commencement of ART
- current_age
Age of client as at when the dataset was generated
- art_start_date
Date of commencement of ART
- art_start_date_source
The reference for the art_start_date
- last_drug_pickup_date
Date of last medication refill
- last_drug_pickup_date_q1
Date of last medication refill in Q1
- last_drug_pickup_date_q2
Date of last medication refill in Q2
- last_drug_pickup_date_q3
Date of last medication refill in Q3
- last_drug_pickup_date_q4
Date of last medication refill in Q4
- last_regimen
The combination regimen dispensed during last medication refill
- last_clinic_visit_date
Date of last hospital visit (for any reason)
- days_of_arv_refill
Number of days of medications dispensed
- pregnancy_status
Pregnancy status of client entered as "P", "NP" or "BF"
- current_viral_load
Value of the most recent viral load result of client
- date_of_current_viral_load
Date of most recent viral load result
- current_viral_load_q1
Viral load result of client at end of Q1
- date_of_current_viral_load_q1
Date of last viral load result in Q1
- current_viral_load_q2
Viral load result of client at end of Q2
- date_of_current_viral_load_q2
Date of last viral load result in Q2
- current_viral_load_q3
Viral load result of client at end of Q3
- date_of_current_viral_load_q3
Date of last viral load result in Q3
- current_viral_load_q4
Viral load result of client at end of Q4
- date_of_current_viral_load_q4
Date of last viral load result in Q4
- current_status_28_days
28-day treatment status of client as at generation of line-list
- current_status_90_days
90-day treatment status of client as at generation of line-list
- current_status_q1_28_days
28-day treatment status of client as at end of Q1
- current_status_q1_90_days
28-day treatment status of client as at end of Q1
- current_status_q2_28_days
28-day treatment status of client as at end of Q2
- current_status_q2_90_days
28-day treatment status of client as at end of Q2
- current_status_q3_28_days
28-day treatment status of client as at end of Q3
- current_status_q3_90_days
90-day treatment status of client as at end of Q3
- current_status_q4_28_days
28-day treatment status of client as at end of Q4
- current_status_q4_90_days
28-day treatment status of client as at end of Q4
- patient_has_died
TRUE or FALSE (or NA) indicating if patient is alive or not
- patient_deceased_date
Date patient known to be deceased, if dead
- patient_transferred_out
TRUE or FALSE (or NA) indicating if patient has been transferred out
- transferred_out_date
Date of transfer, if transferred out
- patient_transferred_in
TRUE or FALSE (or NA) indicating if patient is a transferred from other facility
- transferred_in_date
TRUE or FALSE (or NA) indicating date client was transferred in
- x49
column missing column name and containing negligible entries
- current_status
TRUE or FALSE indicating whether the client is active or not based on the calculated date of LTFU
- date_lost
The calculated expected LTFU date based on the last_drug_pick_up_date, days_of_arv_refill and 28 days missed appointment date
- appointment_date
The calculated expected next date of medication refill based on the last_drug_pick_up_date and days_of_arv_refill
Note
for more information, kindly visit https://ndr.phis3project.org.ng/
tidyndr documentation built on April 8, 2022, 9:06 a.m.
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| ndr_example | R Documentation |
Line-list of 50,000 Simulated Clients Provided in the NDR Format.
Description
A dataset containing clients' details that were randomly generated to simulate
the NDR patient line-list downloaded from the front-end of the Nigeria National Data
Repository. Three additional variables are added for easy referencing during analysis.
These variables are: date_ltfu, appointment_date and current_status.
Usage
ndr_example
Format
A data frame with 50000 rows and 52 variables:
- ip
Implementing Partner
- state
State of registration of client
- lga
Local Government Area where client was registered
- facility
Facility where the client was registered
- datim_code
'DATIM CODE' of the facility of registration
- sex
The gender that the client identified as, "M" or "F"
- patient_identifier
Patient unique id
- hospital_number
assigned hospital reference number
- date_of_birth
Birth day of client, in "yyyy-dd-mm"
- age_at_art_initiation
Age of client at commencement of ART
- current_age
Age of client as at when the dataset was generated
- art_start_date
Date of commencement of ART
- art_start_date_source
The reference for the art_start_date
- last_drug_pickup_date
Date of last medication refill
- last_drug_pickup_date_q1
Date of last medication refill in Q1
- last_drug_pickup_date_q2
Date of last medication refill in Q2
- last_drug_pickup_date_q3
Date of last medication refill in Q3
- last_drug_pickup_date_q4
Date of last medication refill in Q4
- last_regimen
The combination regimen dispensed during last medication refill
- last_clinic_visit_date
Date of last hospital visit (for any reason)
- days_of_arv_refill
Number of days of medications dispensed
- pregnancy_status
Pregnancy status of client entered as "P", "NP" or "BF"
- current_viral_load
Value of the most recent viral load result of client
- date_of_current_viral_load
Date of most recent viral load result
- current_viral_load_q1
Viral load result of client at end of Q1
- date_of_current_viral_load_q1
Date of last viral load result in Q1
- current_viral_load_q2
Viral load result of client at end of Q2
- date_of_current_viral_load_q2
Date of last viral load result in Q2
- current_viral_load_q3
Viral load result of client at end of Q3
- date_of_current_viral_load_q3
Date of last viral load result in Q3
- current_viral_load_q4
Viral load result of client at end of Q4
- date_of_current_viral_load_q4
Date of last viral load result in Q4
- current_status_28_days
28-day treatment status of client as at generation of line-list
- current_status_90_days
90-day treatment status of client as at generation of line-list
- current_status_q1_28_days
28-day treatment status of client as at end of Q1
- current_status_q1_90_days
28-day treatment status of client as at end of Q1
- current_status_q2_28_days
28-day treatment status of client as at end of Q2
- current_status_q2_90_days
28-day treatment status of client as at end of Q2
- current_status_q3_28_days
28-day treatment status of client as at end of Q3
- current_status_q3_90_days
90-day treatment status of client as at end of Q3
- current_status_q4_28_days
28-day treatment status of client as at end of Q4
- current_status_q4_90_days
28-day treatment status of client as at end of Q4
- patient_has_died
TRUE or FALSE (or NA) indicating if patient is alive or not
- patient_deceased_date
Date patient known to be deceased, if dead
- patient_transferred_out
TRUE or FALSE (or NA) indicating if patient has been transferred out
- transferred_out_date
Date of transfer, if transferred out
- patient_transferred_in
TRUE or FALSE (or NA) indicating if patient is a transferred from other facility
- transferred_in_date
TRUE or FALSE (or NA) indicating date client was transferred in
- x49
column missing column name and containing negligible entries
- current_status
TRUE or FALSE indicating whether the client is active or not based on the calculated date of LTFU
- date_lost
The calculated expected LTFU date based on the last_drug_pick_up_date, days_of_arv_refill and 28 days missed appointment date
- appointment_date
The calculated expected next date of medication refill based on the last_drug_pick_up_date and days_of_arv_refill
Note
for more information, kindly visit https://ndr.phis3project.org.ng/
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