From: Coronary heart disease policy models: a systematic review
Name of the model (Author) | Type of model | Model setting & Study population(s) | Risk factors included | Disease groups & treatments included | Outcomes | Sensitivity analysis | Validation | Strengths and limitations |
---|---|---|---|---|---|---|---|---|
CHD Policy Model (Weinstein and Goldman) | State transition Markov Model | USA, Men and Women aged 35–84 | Smoking, total cholesterol, DBP and weight to estimate CHD risk using Framingham Equations | Angina, AMI, sudden death, post MI, CABG, PTCA Specific treatments considered in different studies eg statins, aspirin, beta-blockers etc | Number of deaths prevented, LYG, CHD incidence (number of arrests, angina, AMI), CHD prevalence, CHD mortality, cost per life year | In the initial model none. Subsequently papers reported one way sensitivity analysis | Model was calibrated using 1986 mortality data. Validity: Model estimates were compared with 1990 observed-92–98% fit reported. | First policy model rather basic. Steadily refined since then. Many papers in high impact journals |
PREVENT (Gunning-Scheppers) | Cell based | Netherlands; Denmark, England Depending on the purpose aged <65 | Smoking, cholesterol, hypertension, obesity, physical activity, alcohol | None | Number of deaths prevented, life years gained | One way, different scenarios | Not checked | Mainly a primary prevention model. Developed and adopted in several different populations. |
CHD Life Expectancy Model (Grover et al) | Life table analysis-Markov model from 1998 onwards | Canada, Adult men and women, age group not clear | Smoking, total cholesterol, DBP, glucose intolerance, age | Did not consider CHD disease categories but treatments can be considered for primary prevention | Years of life saved, cost per life year saved, years of life without CHD symptoms | One-way | Calibrated | This model uses hypothetical cohorts of participants. In most of the papers, time and the specific population are not clear. |
CHD Policy Analysis (Sanderson and Davies) | Micro simulation | England and Wales, Up to 85 years. Men and women | Smoking, cholesterol, systolic blood pressure | Angina (stable and unstable), AMI, postMI, CABG, PTCA None | Deaths prevented, morbidity prevented, CHD & non-cardiac deaths, unstable angina admissions, investigations, angiograms, PTCA, CABG | Â | No validation reported | Separate risk factor and treatment components. Future model may include secondary prevention treatments. No sensitivity analyses yet. Model fit appears better for men than women. |
IMPACT (Capewell, Critchley and Unal) | Spread-sheet | Scotland, England & Wales, New Zealand. Initially men and women aged 45–84. IMPACT Model for England and Wales includes 25–84 | Initially smoking, cholesterol, blood pressure – then also obesity, diabetes and physical activity and deprivation | This model is comprehensive and considers all principal CHD categories and over 20 specific CHD treatments | Deaths prevented or postponed, life years gained. | Multi way sensitivity analysis using Analysis of extremes method. | Estimated falls in CHD mortality were compared with observed falls over specific time period stratified by age and sex. | Considers all major effective treatments available for CHD and all major risk factors. Data quality adequate, used trial and meta-analyses: National population statistics and results from representative studies |
Global Burden of Disease (Murray and Lopez) | Population attributable risk method | World divided into eight geographic regions M-F all ages | Malnutrition, poor water, unsafe sex, alcohol, tobacco occupation, hypertension, physical activity, illicit drugs, and air pollution | None | Disability adjusted life years (DALYs) | Multi-way sensitivity analysis-discounting and age weighting | None | A comprehensive and global model for WHO strategies. Well documented and described. CHD is included, and modelled as caused by tobacco use, hypertension and physical inactivity, and reduced by alcohol. Data quality: Extremely variable depending on the region |