Effectiveness and cost-effectiveness of an awareness campaign for colorectal cancer: a mathematical modeling study

Background A campaign to increase the awareness of the signs and symptoms of colorectal cancer (CRC) and encourage self-presentation to a GP was piloted in two regions of England in 2011. Short-term data from the pilot evaluation on campaign cost and changes in GP attendances/referrals, CRC incidence, and CRC screening uptake were available. The objective was to estimate the effectiveness and cost-effectiveness of a CRC awareness campaign by using a mathematical model which extrapolates short-term outcomes to predict long-term impacts on cancer mortality, quality-adjusted life-years (QALYs), and costs. Methods A mathematical model representing England (aged 30+) for a lifetime horizon was developed. Long-term changes to cancer incidence, cancer stage distribution, cancer mortality, and QALYs were estimated. Costs were estimated incorporating costs associated with delivering the campaign, additional GP attendances, and changes in CRC treatment. Results Data from the pilot campaign suggested that the awareness campaign caused a 1-month 10 % increase in presentation rates. Based on this, the model predicted the campaign to cost £5.5 million, prevent 66 CRC deaths and gain 404 QALYs. The incremental cost-effectiveness ratio compared to “no campaign” was £13,496 per QALY. Results were sensitive to the magnitude and duration of the increase in presentation rates and to disease stage. Conclusions The effectiveness and cost-effectiveness of a cancer awareness campaign can be estimated based on short-term data. Such predictions will aid policy makers in prioritizing between cancer control strategies. Future cost-effectiveness studies would benefit from campaign evaluations reporting as follows: data completeness, duration of impact, impact on emergency presentations, and comparison with non-intervention regions

Acute ischaemic stroke patients - direct admission to a specialist centre or initial treatment in a local hospital? A systematic review

Objectives To assess the clinical effectiveness, in acute ischaemic stroke patients, of bypassing non-specialist centres in preference for a specialist stroke centre to receive the time-critical intervention of thrombolysis. Methods Systematic review and meta-analysis using: MEDLINE; MEDLINE In-Process; EMBASE; CINAHL; Cochrane Library including Cochrane Database of Systematic Reviews, Cochrane CENTRAL Controlled Trials Register, DARE, NHS EED and HTA databases. Studies were included if they compared acute ischaemic stroke patients directly triaged to a specialist centre versus those initially triaged to a non-specialist centre with some or all later transferred to a specialist centre. Studies were excluded if they compared patients ever treated in a specialist centre versus those never treated in such a centre, since the aim was to assess the optimum initial triage route rather than the optimum location for overall management. The assumption being, based on previous research, that management in a specialist centre leads to better patient outcomes. Results Fourteen studies investigating 2790 patients were identified. Studies comparing commencement of thrombolysis in non-specialist centres versus the specialist centres (n=1394) showed no significant difference in unadjusted mortality (OR = 0.89; 95% CI = 0.61–1.30) or morbidity (favourable modified Rankin Score, n = 899) (OR = 1.16; 95% CI = 0.85–1.59) among thrombolysed patients. In studies where thrombolysis could only be administered in a specialist centre, data for patients arriving within the therapeutic window (n = 140) revealed significantly higher mortality for those initially admitted to a non-specialist centre compared to directly admitted to a specialist centre (OR = 6.62; 95% CI = 2.60–16.82); morbidity data also favoured direct admission to a specialist centre, although not consistently. Conclusions For ischaemic stroke patients, the location of initial thrombolysis treatment does not affect outcomes. However, if thrombolysis is only available at a specialist centre, outcomes are considerably better for those patients admitted directly. However, these conclusions are based on poor quality data with small sample populations, significant heterogeneity and subject to confounding

Supporting the routine collection of patient reported outcome measures in the National Clinical Audits for assessing cost-effectiveness. Work Package 1. What patient reported outcome measures should be used in the 2013/14 National Clinical Audit Programme.

To assess the appropriateness of the EQ-5D in 13 specified conditions (inflammatory bowel disease (IBD), epilepsy, diabetes, bowel cancer, head and neck cancer, psychological therapies, schizophrenia, dementia, cardiac arrhythmia, heart failure, coronary angioplasty, acute coronary syndrome, adult cardiac surgery); identify what measures may be used when the EQ-5D is not appropriate; identify if fields in corresponding National Clinical Audits (NCA) will suffice to conduct economic evaluations; present recommendations and future research questions in this area

An updated systematic review of studies mapping (or cross walking) measures of health related-quality of life to generic preference-based measures to generate utility values

Background Mapping is an increasingly common method used to predict instrument-specific preference-based health-state utility values (HSUVs) from data obtained from another health-related quality of life (HRQoL) measure. There have been several methodological developments in this area since a previous review up to 2007. Objective To provide an updated review of all mapping studies that map from HRQoL measures to target generic preference-based measures (EQ-5D measures, SF-6D, HUI measures, QWB, AQoL measures, 15D/16D/17D, CHU-9D) published from January 2007 to October 2018. Data sources A systematic review of English language articles using a variety of approaches: searching electronic and utilities databases, citation searching, targeted journal and website searches. Study selection Full papers of studies that mapped from one health measure to a target preference-based measure using formal statistical regression techniques. Data extraction Undertaken by four authors using predefined data fields including measures, data used, econometric models and assessment of predictive ability. Results There were 180 papers with 233 mapping functions in total. Mapping functions were generated to obtain EQ-5D-3L/EQ-5D-5L-EQ-5D-Y (n = 147), SF-6D (n = 45), AQoL-4D/AQoL-8D (n = 12), HUI2/HUI3 (n = 13), 15D (n = 8) CHU-9D (n = 4) and QWB-SA (n = 4) HSUVs. A large number of different regression methods were used with ordinary least squares (OLS) still being the most common approach (used ≥ 75% times within each preference-based measure). The majority of studies assessed the predictive ability of the mapping functions using mean absolute or root mean squared errors (n = 192, 82%), but this was lower when considering errors across different categories of severity (n = 92, 39%) and plots of predictions (n = 120, 52%). Conclusions The last 10 years has seen a substantial increase in the number of mapping studies and some evidence of advancement in methods with consideration of models beyond OLS and greater reporting of predictive ability of mapping functions