Results 76 to 90 of 128.
Cost-effectiveness of granulocyte colony-stimulating factor prophylaxis for febrile neutropenia in breast cancer in the United Kingdom
S Whyte, K Cooper, M Stevenson, J Madan, R Akehurst
Introduction The role of models in supporting health policy decisions is reliant on model credibility. Credibility is fundamentally determined by the choices and judgements that people make in the process of developing a model. However, the method of uncovering choices and making judgements in model development is largely unreported and is not addressed by modelling methods guidance.
Methods This qualitative study was part of a project examining errors in health technology assessment models. In-depth interviews with academic and commercial modellers were used to obtain descriptions of the model development process. Data were analysed using framework analysis and interpreted in the context of the methodological literature.
Results The activities involved in developing models were characterised according to the themes; understanding the decision problem, conceptual modelling, model implementation, model checking, and engaging with the decision maker. Finding and using evidence was frequently mentioned across these themes. There was marked variation between practitioners in the extent to which conceptual modelling was recognised as an activity distinct from model implementation.
Discussion Methodological approaches to addressing model credibility described in the wider modelling literature highlight the necessity to disentangle the conceptual modelling and implementation activities. Whilst interviewees talked of judgements and choice making throughout model development, discussion indicated that these were based upon skills and experience with no discussion of formal approaches. Methods are required that provide for a systematic approach to uncovering choices, to generating a shared view of consensus and divergence, and for making judgements and choices in model development.
J Chilcott, P Tappenden, S Paisley, A Rawdin, M Johnson, E Kaltenthaler
Behavioural interventions for weight management in pregnancy: A systematic review of quantitative and qualitative data
F Campbell, M Johnson, J Messina, L Guillaume, L Goyder
Developing a health state classification system from NEWQOL for epilepsy using classical psychometric techniques and Rasch analysis
B Mulhern, D Rowen, JE Brazier, A Jacoby, T Marson, D Snape, D Hughes, N Latimer, GA Baker
A review and meta analysis of health state utility values in breast cancer
T Peasgood, S Ward, J Brazier
Clinicians’ perspectives of health related quality of life (HRQoL) implications of amblyopia: a qualitative study
Developing patient- and carer-reported health state classification systems using Rasch analysis
B Mulhern, SC Smith , D Rowen, JE Brazier, M Knapp, DL Lamping, V Loftus, TA Young, RJ Howard, S Banerjee
Estimating health state utility values for comorbid health conditions: a synopsis of the current evidence base
Peasgood, SE Ward, J Brazier.
Using health state utility values from the general population to approximate baselines in decision analytic models when condition specific data are not available
R Ara, J Brazier
The impact of disease adaptation information on general population values for rheumatoid arthritis states
H Cowen McTaggart, A Tsuchiya, A O'Cathain, J Brazier
It's all in the name, or is it? The impact of labeling on health state values.
D Rowan, J Brazier, A Tsuchiya, T Young, R Ibbotson
M Hernández , AJ Wailoo, R Ara
Multilevel modelling of cost data: an application to thrombolysis and primary angioplasty in the UK NHS
M Hernandez, A Wailoo
J Carlton, E Kaltenthaler