Prioritizing health technologies in a Primary Care Trust.
BACKGROUND
In the English National Health Service (NHS), Primary Care Trusts (PCTs) are responsible for commissioning health-care services on behalf of their populations. As resources are finite, decisions are required as to which services best fulfil population needs. Evidence on effectiveness varies in quality and availability. Nevertheless, decisions still have to be made.


METHODS
We report the development and pilot application of a multi-criteria prioritization mechanism in an English PCT, capable of accommodating a wide variety of evidence to rank six service developments.


RESULTS
The mechanism proved valuable in assisting prioritization decisions and feedback was positive. Two community-based interventions were expected to save money in the long term and were ranked at the top of the list. Based on weighted benefit score and cost, two preventive programmes were ranked third and fourth. Finally, two National Institute for Health and Clinical Excellence (NICE)-approved interventions were ranked fifth and sixth. Sensitivity analysis revealed overlap in benefit scores for some of the interventions, representing diversity of opinion among the scoring panel.


CONCLUSIONS
The method appears to be a practical approach to prioritization for commissioners of health care, but the pilot also revealed interesting divergences in relative priority between nationally mandated service developments and local health-care priorities.
Wilson
Edward
E
UEA/NHS Health Economics Support Programme, Health Economics Group, School of Medicine, Health Policy & Practice, University of East Anglia, Norwich, UK. ed.wilson@uea.ac.uk
Sussex
Jon
J
Macleod
Christine
C
Fordham
Richard
R
D003362:Cost-Benefit Analysis / Q000379:methods*; D003659:Decision Making, Organizational; D006292:Health Priorities / Q000145:classification* / Q000191:economics; D006302:Health Services Research / Q000191:economics*; D006801:Humans; D010865:Pilot Projects; D011320:Primary Health Care / Q000191:economics* / Q000379:methods; D016730:Program Development; D019057:Quality-Adjusted Life Years; D040841:Resource Allocation / Q000191:economics / Q000592:standards*; D018570:Risk Assessment; D013222:State Medicine / Q000191:economics*; D013673:Technology Assessment, Biomedical / Q000379:methods*; D006113:United Kingdom