1. World Health Organization, Global status report on noncommunicable diseases 2010, A. Alwan, Editor. 2010, The World Health Organization.
  2. World Health Organization, Global status report on noncommunicable diseases 2014, S. Mendis, Editor. 2014, World Health Organization.
  3. World Health Organization, Prioritized research agenda for prevention and control of noncommunicable diseases, S. Mendis and A. Alwan, Editors. 2011, World Health Organization: Geneva.
  4. World Health Organization, Global action plan for the prevention and control of noncommunicable diseases 2013-2020. 2013, World Health Organization: Geneva.
  5. Cochrane, L.J., et al., Gaps between knowing and doing: Understanding and assessing the barriers to optimal health care. Journal of Continuing Education in the Health Professions, 2007. 27(2): p. 94-102.
  6. Grol, R., Successes and failures in the implementation of evidence based guidelines for clinical practice. Medical Care, 2001. 39(8): p. SII46-54.
  7. McGlynn, E.A., et al., The quality of health care delivered to adults in the United States. New England Journal of Medicine, 2003. 348(26): p. 2635-45.
  8. McCullough, M.L., et al., Following cancer prevention guidelines reduces risk of cancer, cardiovascular disease, and all-cause mortality. Cancer Epidemiol Biomarkers, 2011. 20(6): p. 1089-97.
  9. Komajda, M., et al., Adherence to guidelines is a predictor of outcome in chronic heart failure: The MAHLER survey. European Heart Journal, 2005. 26(16): p. 1653-9.
  10. Saslow, D., et al., American cancer society, American society for colposcopy and cervical pathology, and American society for clinical pathology screening guidelines for the prevention and early detection of cervical cancer. CA: A Cancer Journal for Clinicians, 2012. 62(3): p. 147-72.
  11. Shapiro, D., et al., Containing costs while improving quality of care: The role of profiling and practice guidelines. Annual Review of Public Health, 1993. 14(1): p. 219-41.
  12. Grol, R. and M. Wensing, What drives change? Barriers to and incentives for achieving evidence-based practice. Medical Journal of Australia, 2004. 180(6): p. S57.
  13. Harrison, M.B., et al., Adapting clinical practice guidelines to local context and assessing barriers to their use. Canadian Medical Association Journal, 2010. 182(2): p. E78-84.
  14. Rainbird, K., R. Sanson-Fisher, and H. Buchan, Identifying barriers to evidence uptake. 2006, National Institute of Clinical Studies: Melbourne, Australia.
  15. Fixsen, D.L., et al., Implementation research: A synthesis of the literature. 2005, University of South Florida, Louis de la Parte Florida Mental Health Institute, The National Implementation Research Network: Tampa, FL.
  16. National Implementation Research Network. Implementation defined. Learn Implementation 2013 [cited 2015 December 5th]; Available from:
  17. Peters, D.H., M.T. Tran, and A. Taghreed, Implementation research in health: A practical guide. 2013, Alliance for Health Policy and Systems Research, World Health Organization: Geneva, Switzerland.
  18. Proctor, E.K., et al., Outcomes for implementation research: Conceptual distinctions, measurement challenges, and research agenda. Administration and Policy in Mental Health and Mental Health Services Research, 2011. 38(2): p. 65-76.
  19. Davies, P., A.E. Walker, and J.M. Grimshaw, A systematic review of the use of theory in the design of guideline dissemination and implementation strategies and interpretation of the results of rigorous evaluations. Implementation Science, 2010. 5: p. 1-6.
  20. Michie, S., et al., Specifying and reporting complex behaviour change interventions: The need for a scientific method. Implementation Science, 2009. 4: p. 40.
  21. Damschroder, L.J., et al., Fostering implementation of health services research findings into practice: A consolidated framework for advancing implementation science. Implementation Science, 2009. 4: p. 50.
  22. McDonald, K.M., I.D. Graham, and J. Grimshaw, Toward a theoretical basis for quality improvement interventions, in Closing the quality gap: A critical analysis of quality improvement strategies, K.G. Shojania, et al., Editors. 2004, Agency for Healthcare Research and Quality: Rockville, MD.
  23. TDR Special Programme for Research and Training in Tropical Diseases, Implementation research toolkit. 2014: World Health Organization.
  24. Proctor, E.K., et al., Writing implementation research grant proposals: Ten key ingredients. Implementation Science, 2012. 7: p. 96.
  25. Graham, I. D., Logan, J., Harrison, M. B., Straus, S. E., Tetroe, J., Caswell, W. and Robinson, N. (2006), Lost in knowledge translation: Time for a map?. J. Contin. Educ. Health Prof., 26: 13–24. doi:10.1002/chp.47
  26. Shaw, J.E., R.A. Sicree, and P.Z. Zimmet, Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract, 2010. 87(1): p. 4-14.
  27. Ramachandran, A., R.C. Wan Ma, and C. Snehalatha, Diabetes in Asia. Lancet, 2009. 375(9712): p. 408-18.
  28. Thankappan, K.R., et al., Risk factor profile for chronic non-communicable diseases: Results of a community-based study in Kerala, India. Indian Journal of Medical Research, 2010. 131: p. 53-63.
  29. Menon, V.U., et al., Prevalence of known and undetected diabetes and associated risk factors in central Kerala - ADEPS. Diabetes Research and Clinical Practice, 2006. 74(3): p. 289-94.
  30. Raman, K.V., A. Joseph, and C.R. Soman, High prevalence of type 2 diabetes in an urban settlement in Kerala, India. Ethnicity and Health, 1999. 4(4): p. 231-9.
  31. Daivadanam, M., et al., Lifestyle change in Kerala, India: needs assessment and planning for a community-based diabetes prevention trial. BMC Public Health, 2013. 13: p. 95.
  32. Soman, C.R., et al., Cohort profile: the PROLIFE study in Kerala, India. Int J Epidemiol, 2011. 40(1): p. 10-4.
  33. Sugathan, T.N., C.R. Soman, and S. K, Behavioural risk factors for non communicable diseases among adults in Kerala, India. The Indian Journal of Medical Research, 2008. 127(6): p. 555- 63.
  34. Krishnan, A., et al., Evaluation of community-based interventions for non-communicable diseases: Experiences from India and Indonesia. Health Promotion International, 2011. 26(3): p. 276-89.
  35. Kumar, M.S., P.S. Sarma, and K.R. Thankappan, Community-based group intervention for tobacco cessation in rural Tamil Nadu, India: A cluster randomized trial. Journal of Substance Abuse Treatment, 2012. 43(1): p. 53-60.
  36. Mohan, V., et al., Community empowerment - A successful model for prevention of noncommunicable diseases in India - The Chennai Urban Population Study (CUPS-17). The Journal of the Association of Physicians of India, 2006. 54(858-62).
  37. Grimshaw, J.M., et al., Knowledge translation of research findings. Implementation Science, 2012. 7: p. 50.
  38. Antman, E.M., et al., A comparison of results of meta-analyses of randomized control trials and recommendations of clinical experts. Treatments for myocardial infarction. The Journal of the American Medical Association, 1992. 268(2): p. 240-8.
  39. Chalmers, I., Trying to do more good than harm in policy and practice: The role of rigorous, transparent, up-to-date evaluations. The Annals of the American Academy of Political and Social Science, 2003. 589: p. 22-40.
  40. Pope, C., N. Mays, and J. Popay, Synthesizing qualitative and quantitative health research. 2007, Berkshire, UK: Open University Press.
  41. Jadad, A.R.; Moore R.A.; Carroll D.; Jenkinson C.; Reynolds D.J.M.; Gavaghan D.J.; McQuay H.J. (1996). “Assessing the quality of reports of randomized clinical trials: Is blinding necessary?”. Controlled Clinical Trials.  17(1): 1–12. doi:10.1016/0197-2456(95)00134-4. PMID  8721797.
  42. World Health Organization, WHO global report: mortality attributable to tobacco, W. Press, Editor. 2012: Geneva.
  43. Jhanjee, S., Tobacco Control in India – Where are we now? Delhi Psychiatry Journal, 2011. 14(1): p. 26.
  44. Ministry of Health and Family Welfare India, Tobacco use among students and teachers. Findings from the Global Youth Tobacco Survey and Global School Personnel Survey India. 2010: New Delhi.
  45. International Institute for Population Sciences & MoHFW India, Global Adult Tobacco Survey (GATS) India 2009-2010. New Delhi.
  46. ITC Project, TCP India National Report. Findings from the Wave 1 Survey (2010-2011). 2013, University of Waterloo, Canada; Healis-Sekhsaria Institute for Public Health, India.
  47. Ministry of Health and Family Welfare (Government of India), Economic Burden of Tobacco Related Diseases in India. Executive Summary. 2014, New Delhi: PHFI and WHO Country Office for India.
  48. World Health Organization, WHO Framework Convention on Tobacco Control. 2003: Geneva.
  49. Ministry of Health and Family Welfare India, The Cigarettes and Other Tobacco Products (Prohibition of Advertisement and Regulation of Trade and Commerce, Production, Supply and Distribution) Act, 2003. 2009: New Delhi.
  50. Arora, M., Tewari A, Nazar PN, Gupta K, Shrivastav R,, Ineffective pictorial health warnings on tobacco products: lessons learnt from India. Indian Journal of Public Health, 2012. 56(1): p. 61-64.
  51. Yadav, A., India: New Warnings to Cover 85% of Packs. Tobacco Control, 2015. 24(1): p. 3.
  52. Moodie, C., et al., Plain tobacco packaging: A systematic review. UK Centre for Tobacco Control Studies, 2012.
  53. Wakefield, M.A., et al., Introduction effects of the Australian Plain Packaging policy on adult smokers: a cross-sectional study. BMJ open, 2013. 3(7): p. e003175.
  54. Lok Sabha Secretariat, Fourth Report on the Cigarettes and other Tobacco Products (Prohibition of Advertisement and Regulation of Trade and Commerce, Production, Supply and Distribution) Act, 2003, C.o.S. Legislation, Editor. 2015, Government of India Press: New Delhi.
  55. White V, Australian Secondary Students’ Alcohol and Drug (ASSAD), Centre for Behavioural Research in Cancer (CBRC), Editor. 2015, Department of Health Canberra.
  56. Hammond D, Health warning messages on tobacco products: a review Tobacco Control, 2011. 20(327).
  57. Arora M, T.A., Grills N, Nazar GP, Sonrexa J, Gupta VK, Moodie R, Reddy KS., Exploring perception of Indians about Plain Packaging of tobacco products. Frontiers in Public Health, 2013. 1: p. 35.
  58. Dunlop, S., et al., Impact of Australia’s introduction of tobacco plain packs on adult smokers’ pack-related perceptions and responses. BMJ Open, 2014. 4: p. e005836.
  59. Hammond, D., Standardized packaging of tobacco products: evidence review. 2014, Irish Department of Health.
  60. Australia India Institute, Report of the AII Taskforce on Tobacco Control: Plain Packaging of tobacco products. 2012: Melbourne
  61. Hughes N, Grills N, and Aurora M, Effect of plain packaging of tobacco products in low and middle income settings: A systematic review of the literature. Currently under reviewed, 2015.
  62. Jann W and Werich K, Theories of policy change, in Handbook of Public Policy Analysis: Theory, Politics, and Methods, Fischer F and Miller GJ, Editors. 2007, Taylor and Francis group.
  63. Henggeler, S.W., et al., Transporting efficacious treatments to field settings: The link between supervisory practices and therapist fidelity in MST programs. Journal of Clinical Child & Adolescent Psychology, 2002. 31(2): p. 155-67.
  64. Greenhalgh, T., et al., Diffusion of innovations in service organizations: Systematic review and recommendations. Milbank Quarterly, 2004. 82(4): p. 581‐629.
  65. Oldenburg, B., et al., The spread and uptake of diabetes prevention programs around the world: a case study from Finland and Australia. Transl Behav Med, 2011. 1(2): p. 270-282.
  66. Chen, E.K., et al., Tailoring evidence-based interventions for new populations: A method for program adaptation through community engagement. Evaluation & the Health Professions, 2013. 36(1): p. 73-92.
  67. Embry, D. and A. Biglan, Evidence-based kernels: Fundamental units of behavioral influence. Clinical Child and Family Psychology Review, 2008. 11(3): p. 75-113.
  68. Blase, K. and D. Fixsen, Core intervention components: Identifying and operationalizing what makes programs work. 2013, Office of the Assistant Secretary for Planning and Evaluation.
  69. Chamberlain, P., The Oregon Multidimensional Treatment Foster Care Model: Features, outcomes, and progress in dissemination. Cognitive and Behavioral Practice, 2003. 10: p. 303- 12.
  70. Forgatch, M.S., R. Patterson, and D.S. DeGarmo, Evaluating fidelity: Predictive validity for a measure of competent adherence to the Oregon model of parent management training (PMTO). Behavior Therapy, 2005. 36: p. 3-13.
  71. Carter, S., The social validity manual. 2009, London, UK: Academic Press.
  72. Schwartz, I.S. and D.M. Baer, Social validity assessment: Is current practice state of the art? Applied Behavior Analysis, 1991. 24(2): p. 189-204.
  73. Gresham, F.M. and M.F. Lopez, Social validation: A unifying concept for school-based consultation research and practice. School Psychology Quarterly, 1996. 11(3): p. 204-27.
  74. Beltramo, T. and D.I. Levine, The effect of solar ovens on fuel use, emissions and health: Results from a randomised controlled trial. Journal of Development Effectiveness, 2013. 5(2): p. 178-207.
  75. Otte, P.P., Solar cookers in developing countries-What is their key to success? Energy Policy, 2013. 63: p. 375-381.
  76. Thomas, E., et al., Improved stove interventions to reduce household air pollution in low and middle income countries: a descriptive systematic review. BMC Public Health, 2015. 15: p. 650.
  77. Ontario Agency for Health Protection and Promotion (Public Health Ontario), At a glance: The ten steps for conducing an evaluation. 2015: Toronto, ON.
  78. Peters, D.H., et al., Implementation research: what it is and how to do it. British Journal of Sports Medicine, 2014. 48(8): p. 731-736.
  79. Glasgow, R.E. and L.A. Linnan, Evaluation of theory-based interventions, in Health behavior and health education: Theory, research, and practice, K. Glanz, B.K. Rimer, and V.K. Jossey-Bass, Editors. 2008, Jossey-Bass: San Francisco, CA. p. 487-508.
  80. Breitenstein, S.M., et al., Measuring implementation fidelity in a community-based parenting intervention. Nursing Research, 2010. 59(3): p. 158-65.
  81. Carroll, C., et al., A conceptual framework for implementation fidelity. Implementation Science, 2007. 2: p. 40.
  82. Koball, H., et al., Supporting evidence-based home visiting to prevent child maltreatment: Overview of the cross-site evaluation. 2009, Department of Health and Human Services, Administration for Children and Families, Children’s Bureau: Washington, DC.
  83. McGrew, J.H., et al., Measuring the fidelity of implementation of a mental health program model. Journal of Consulting and Clinical Psychology, 1994. 62(4): p. 670-8.
  84. Aarons, G., Measuring provider attitudes toward evidence‐based practice: Consideration of organizational context and individual differences. Child & Adolescent Psychiatric Clinics of North America, 2005. 14(2): p. 255‐viii.
  85. Aarons, G., D. Sommerfeld, and C. Walrath‐Greene, Evidence‐based practice implementation: The impact of public versus private sector organization type on organizational support, provider attitudes, and adoption of evidence‐based practice. Implementation Science, 2009. 4: p. 83.
  86. Correnti, R. and B. Rowan, Opening up the black box: Literacy instruction in schools participating in three comprehensive school reform programs. American Educational Research Journal, 2007. 44(2): p. 298‐338.
  87. Frambach, R. and N. Schillewaert, Organizational innovation adoption: A multi‐level framework of determinants and opportunities for future research. Journal of Business Research Special Issue: Marketing Theory in the Next Millennium, 2002. 55(2): p. 163‐76.
  88. Rogers, E., Diffusion of innovations. 4th ed. 1995, New York, NY: The Free Press.
  89. Lipsey, M. and D. Cordray, Evaluation methods for social intervention. Annual Review of Psychology, 2000. 51: p. 345‐75.
  90. Pettigrew, A., The character and significance of strategy process research. Strategic Management Journal, 1992. 13: p. 5‐16.
  91. Pettigrew, A., What is a processual analysis? Scandinavian Journal of Management, 1997. 13: p. 337‐48.
  92. Curran, G.M., et al., Effectiveness-implementation hybrid designs: Combining elements of clinical effectiveness and implementation research to enhance public health impact. Medical Care, 2012. 50(3): p. 217-26.
  93. Proctor, E.K., B.J. Powell, and J.C. McMillen, Implementation strategies: Recommendations for specifying and reporting. Implementation Science, 2013. 8: p. 139.
  94. Peters, D., et al., Improving health service delivery in developing countries: From evidence to action. 2009, World Bank: Washington, DC.
  95. French, Simon D., et al. “Developing theory-informed behaviour change interventions to implement evidence into practice: a systematic approach using the Theoretical Domains Framework.” Implementation Science 7.1 (2012): 1.
  96. Glasgow, R.E., eHealth evaluation and dissemination research. American Journal of Preventive Medicine, 2007. 32(5S): p. S119–26.
  97. Proctor, E.K., et al., Implementation research in mental health services: An emerging science with conceptual, methodological, and training challenges. Administration and Policy in Mental Health and Mental Health Services Research, 2009. 36(1): p. 24–34.
  98. Raghavan, R., The role of economic evaluation in dissemination and implementation research, in Dissemination and implementation research in health: Translating science in practice, R. Brownson, G.A. Colditz, and E.K. Proctor, Editors. 2012, Oxford University Press: New York, NY.
  99. National Health Service UK, NHS Institute Sustainability and its relationship with spread and adoption. 2007, NHS Institute for Innovation and Improvement:  Coventry.
  100. Milat, A.J., A. Bauman, and S. Redman, Narrative review of models and success factors for scaling up public health interventions. Implementation Science, 2015. 10: p. 113.
  101. Beaglehole, R., et al., Priority actions for the non-communicable disease crisis. Lancet, 2011. 377(9775): p. 1438-47.
  102. Smisha Agarwal., et al, Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) evidence reporting and assessment (mERA) checklist. BMJ 2016;352:i1174
  103. Hoehner, C.M., et al., Physical activity interventions in Latin America: a systematic review. Am J Prev Med, 2008. 34(3): p. 224-233.
  104. Hoehner, C.M., et al., Physical activity interventions in Latin America: expanding and classifying the evidence. Am J Prev Med, 2013. 44(3): p. e31-40.
  105. Paez, D.C., et al., Bridging the gap between research and practice: an assessment of external validity of community-based physical activity programs in Bogota, Colombia, and Recife, Brazil. Transl Behav Med, 2015. 5(1): p. 1-11.
  106. Pratt, M., et al., Project GUIA: A model for understanding and promoting physical activity in Brazil and Latin America. J Phys Act Health, 2010. 7 Suppl 2: p. S131-4.
  107. Parra, D.C., et al., Assessing physical activity in public parks in Brazil using systematic observation. Am J Public Health, 2010. 100(8): p. 1420-6.
  108. Simoes, E.J., et al., Effects of a community-based, professionally supervised intervention on physical activity levels among residents of Recife, Brazil. Am J Public Health, 2009. 99(1): p. 68-75.
  109. Hallal, P.C., et al., Association between perceived environmental attributes and physical activity among adults in Recife, Brazil. J Phys Act Health, 2010. 7 Suppl 2: p. S213-22.
  110. Hallal, P.C., et al., Evaluation of the Academia da Cidade program to promote physical activity in Recife, Pernambuco State, Brazil: perceptions of users and non-users. Cad Saude Publica, 2010. 26(1): p. 70-8.
  111. Soares, J., et al., Cross-sectional associations of health-related quality of life measures with selected factors: a population-based sample in recife, Brazil. J Phys Act Health, 2010. 7 Suppl 2: p. S229-41.
  112. Reis, R.S., et al., Assessing participation in community-based physical activity programs in Brazil. Med Sci Sports Exerc, 2014. 46(1): p. 92-8.
  113. Parra, D.C., et al., Scaling up of physical activity interventions in Brazil: how partnerships and research evidence contributed to policy action. Glob Health Promot, 2013. 20(4): p. 5-12.