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Variation in Post-operative Patient Health in Northern Ireland
Safe People
Organisation name
HSC BSO
Organisation sector
Government Agency (Health and Adult Social Care)
Applicant name(s)
Alexander Fitzpatrick
Safe Projects
Project ID
E000
Lay summary
This study will use data from the Admissions and Discharges system (Inpatients, Outpatients, Admissions and Discharges, Accident and Emergency) linked with data from primary care (HSC Business Services Organisation (BSO) Enhanced Prescribing Database) for the calendar year 2012 using the NI Healthcard Registration number as a unique patient identifier. For the purpose of this study, a single patient event will be defined as one or more hospital admissions for the same patient (day case or inpatient) that completed on the same date. Descriptive statistics and logistic regression analyses will be produced using SPSS. Descriptive statistics will demonstrate whether there is variation in the likelihood of being prescribed antibiotic medication in primary care or of a patient presenting at an Accident and Emergency Department (A&E) within 3 weeks of discharge from hospital according to; consultant speciality, the hospital from which the patient was discharged, the length of stay in hospital, the patient’s age group and gender, and the rank of the multiple deprivation indicator of the patient’s area of residence. The logistic regression analyses will examine the relative influences that each of these factors have on the outcomes of antibiotic prescription and return to A&E. Understanding the factors that impact on variation in the HSC resources required to effectively treat patients will enable improvements in planning for and predicting required patient care. Such understanding will also facilitate the introduction of appropriate interventions to optimise the use of resources.
Public benefit statement
Understanding the factors that impact on variation in the HSC resources required to effectively treat patients will enable improvements in planning for and predicting required patient care. Such understanding will also facilitate the introduction of appropriate interventions to optimise the use of resources.
Latest approval date
02/03/2023
Safe Data
Dataset(s) name
Data sensitivity level
Anonymous
Legal basis for provision of data under Article 6
Not applicable
Common Law Duty of Confidentiality
Not applicable
National data opt-out applied?
Not applicable
Request frequency
One-off
Safe Setting
Access type
TRE