Use this URL to cite or link to this record in EThOS:
Title: Measuring and modelling performance in the NHS pharmacy workforce
Author: Borja-Lopetegi, Amaia
ISNI:       0000 0004 2674 4032
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2007
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Please try the link below.
Access from Institution:
In the current National Health Service (NHS) changing environment, pharmacy and pharmacy services have been identified as key issues to improve the quality of the NHS and the patient experience. There is available evidence showing that clinical pharmacy has a positive impact in patient care outcomes. Senior Pharmacy Managers have been told to redesign pharmacy services as the pharmacy workforce is being underused. However, to date, the numbers of pharmacy establishment has been decided according to both historical numbers and also the ability of the Senior Pharmacist Managers to convince trust managers of the need for staff without evidence to support a given number. This work uses regression analysis to model trusts' pharmacy staff establishment according to their own characteristics and the services that are being provided by hospital pharmacies. Data about pharmacy activity (e.g. drug costs, number of inpatient items dispensed, etc), staff levels measured as Whole Time Equivalents (WTE), deployment of staff providing different activities (e.g. inpatient dispensing WTE, clinical pharmacy WTE), type of pharmacy services, and the extent to which are they being provided (e.g. medication history taking, one stop dispensing) has been collected, as well as pharmacy staff establishment satisfaction levels. Data has been triangulated and associations between these variables have been explored. Hospital pharmacy workforce has been modelled. There is strong evidence to support associations between establishment and key pharmacy performance indicators, in addition to clinical outcome measures. This work shows that multivariate techniques are of value in modelling pharmaceutical services and performance indicators, and provide evidence for workforce planning. This provides a means of developing an empirical tool to help pharmacy service managers determine their actual and future staff needs and the deployment of this establishment in order to fulfill policy targets and to improve quality of pharmaceutical services.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available