OBJECTIVES: To explore the feasibility of using a simple multi-criteria decision analysis method with policy makers/key stakeholders to prioritize cardiovascular disease (CVD) policies in four Mediterranean countries: Palestine, Syria, Tunisia and Turkey. METHODS: A simple multi-criteria decision analysis (MCDA) method was piloted. A mixed methods study was used to identify a preliminary list of policy options in each country. These policies were rated by different policymakers/stakeholders against pre-identified criteria to generate a priority score for each policy and then rank the policies. RESULTS: Twenty-five different policies were rated in the four countries to create a country-specific list of CVD prevention and control policies. The response rate was 100% in each country. The top policies were mostly population level interventions and health systems' level policies. CONCLUSIONS: Successful collaboration between policy makers/stakeholders and researchers was established in this small pilot study. MCDA appeared to be feasible and effective. Future applications should aim to engage a larger, representative sample of policy makers, especially from outside the health sector. Weighting the selected criteria might also be assessed.
OBJECTIVES: To explore the feasibility of using a simple multi-criteria decision analysis method with policy makers/key stakeholders to prioritize cardiovascular disease (CVD) policies in four Mediterranean countries: Palestine, Syria, Tunisia and Turkey. METHODS: A simple multi-criteria decision analysis (MCDA) method was piloted. A mixed methods study was used to identify a preliminary list of policy options in each country. These policies were rated by different policymakers/stakeholders against pre-identified criteria to generate a priority score for each policy and then rank the policies. RESULTS: Twenty-five different policies were rated in the four countries to create a country-specific list of CVD prevention and control policies. The response rate was 100% in each country. The top policies were mostly population level interventions and health systems' level policies. CONCLUSIONS: Successful collaboration between policy makers/stakeholders and researchers was established in this small pilot study. MCDA appeared to be feasible and effective. Future applications should aim to engage a larger, representative sample of policy makers, especially from outside the health sector. Weighting the selected criteria might also be assessed.
Authors: Sarah Bowman; Nigel Unwin; Julia Critchley; Simon Capewell; Abdullatif Husseini; Wasim Maziak; Shahaduz Zaman; Habiba Ben Romdhane; Fouad Fouad; Peter Phillimore; Belgin Unal; Rana Khatib; Azza Shoaibi; Balsam Ahmad Journal: Bull World Health Organ Date: 2012-09-14 Impact factor: 9.408
Authors: Igor Rudan; Jennifer L Gibson; Shanthi Ameratunga; Shams El Arifeen; Zulfiqar A Bhutta; Maureen Black; Robert E Black; Kenneth H Brown; Harry Campbell; Ilona Carneiro; Kit Yee Chan; Daniel Chandramohan; Mickey Chopra; Simon Cousens; Gary L Darmstadt; Julie Meeks Gardner; Sonja Y Hess; Adnan A Hyder; Lydia Kapiriri; Margaret Kosek; Claudio F Lanata; Mary Ann Lansang; Joy Lawn; Mark Tomlinson; Alexander C Tsai; Jayne Webster Journal: Croat Med J Date: 2008-12 Impact factor: 1.351
Authors: Niveen M E Abu-Rmeileh; Azza Shoaibi; Martin O'Flaherty; Simon Capewell; Abdullatif Husseini Journal: BMJ Open Date: 2012-08-24 Impact factor: 2.692
Authors: Julia A Critchley; Blanca I Restrepo; Katharina Ronacher; Anil Kapur; Andrew A Bremer; Larry S Schlesinger; Randall Basaraba; Hardy Kornfeld; Reinout van Crevel Journal: Chest Date: 2017-04-20 Impact factor: 9.410