Visit-level blood pressure and prescription data at a private Ugandan hospital

This dataset represents a complete yearlong set of visit-level data capturing blood pressure measurements, diagnosis, and treatment at a private Ugandan hospital. Patient IDs, Visit IDs, and Visit Dates have been completely anonymized. Each row in the dataset represents a visit-prescription pair - so should a patient be prescribed multiple medications at a visit, that visit (identified by unique Visit ID) will occupy one row for each medication prescribed. These can be easily aggregated by grouping by Visit ID after data ingestion. <br> Field dictionary: visit_id_anonymous: <em>string</em>, unique visit ID visit_date_anonymized_day:<em> integer</em>, unique integer representing day of visit - these are sequentially correct but cannot be mapped back to the real date of visit patient_id_anon: <em>string</em>, unique patient ID visit_type: <em>string, </em>string description of visit type is_gp: <em>boolean, </em>whether visit is performed by general practitioner/general physician (should only be TRUE in this dataset) is_drug: <em>boolean, </em>whether this line represents a prescription attached to visit is_ht_drug: <em>boolean, </em>whether this line represents an antihypertensive medication prescription_name: <em>string</em>, description of medication prescribed ht_drug_category: <em>string</em>, category of antihypertensive prescribed, if prescribed medication is an antihypertensive gender: <em>string</em> is_htn_dx_code: <em>boolean, </em>whether a hypertension diagnosis code was assigned this visit bp_sys:<em> integer</em>, systolic blood pressure bp_dia: <em>integer</em>, diastolic blood pressure payment_type: <em>string, </em>Cash represents a self-pay patient visit, and Invoicing represents an insured patient visit age: <em>integer</em>, whole number age visit_number: <em>integer</em>, sequential # of visit for this patient - i.e. if this is a patient's 3rd visit during the study period, visit_number<em> </em>= 3 for that visit