1887
Review Open Access
Like 0

Abstract

Background

Evidence-informed public health decision-making (EIDM) is a complex process that must consider multiple factors.

Aim

We aimed to identify and describe existing frameworks supporting evidence-informed public health decision-making and their application to infectious disease.

Methods

We conducted a scoping review to describe current EIDM framework use in public health. We included decision-making frameworks in public health and examples of their use in infectious diseases. We searched MEDLINE and Health Systems Evidence from inception to December 2022. We also hand searched websites of relevant organisations and conducted a forward citation search of the included frameworks. Two reviewers selected studies independently, one reviewer extracted data and one cross-checked for accuracy. We presented the results narratively.

Results

We included 15 frameworks. Seven had a generic scope and eight were focused on specific topics (immunisation, COVID-19 or other, non-infectious diseases). From the included frameworks, we identified a total of 18 criteria with each framework assessing a median of eight, the most frequent being ‘desirable effects’, ‘resources considerations’ and ‘feasibility’. We identified infectious disease examples for four frameworks: ‘Grading of Recommendations, Assessment, Development, and Evaluation’ (GRADE), WHO-INTEGRATe Evidence (WHO-INTEGRATE), ‘Ethics, Equity, Feasibility, and Acceptability’ (EEFA) and ‘Community Preventive Services Task Force’ (CPSTF) evidence-to-decision frameworks.

Conclusion

Although several EIDM frameworks exist for public health decision-making, most have not been widely applied to infectious diseases. Current EIDM frameworks inconsistently address factors for public health decision-making. Further application and evaluation, and possibly adaptation of existing frameworks, is required to optimise decision-making in public health and infectious diseases.

Loading

Article metrics loading...

/content/10.2807/1560-7917.ES.2025.30.19.2400185
2025-05-15
2025-05-17
/content/10.2807/1560-7917.ES.2025.30.19.2400185
Loading
Loading full text...

Full text loading...

/deliver/fulltext/eurosurveillance/30/19/eurosurv-30-19-3.html?itemId=/content/10.2807/1560-7917.ES.2025.30.19.2400185&mimeType=html&fmt=ahah

References

  1. Moberg J, Oxman AD, Rosenbaum S, Schünemann HJ, Guyatt G, Flottorp S, et al. , GRADE Working Group. The GRADE Evidence to Decision (EtD) framework for health system and public health decisions. Health Res Policy Syst. 2018;16(1):45.  https://doi.org/10.1186/s12961-018-0320-2  PMID: 29843743 
  2. Schünemann HJ, Reinap M, Piggott T, Laidmäe E, Köhler K, Pōld M, et al. The ecosystem of health decision making: from fragmentation to synergy. Lancet Public Health. 2022;7(4):e378-90.  https://doi.org/10.1016/S2468-2667(22)00057-3  PMID: 35366410 
  3. World Health Organization (WHO). Global report on infection prevention and control: executive summary. Geneva: WHO; 2022. Available from: https://apps.who.int/iris/handle/10665/354553
  4. Booth A, Moore G, Flemming K, Garside R, Rollins N, Tunçalp Ö, et al. Taking account of context in systematic reviews and guidelines considering a complexity perspective. BMJ Glob Health. 2019;4(Suppl 1):e000840.  https://doi.org/10.1136/bmjgh-2018-000840  PMID: 30775011 
  5. Alonso-Coello P, Schünemann HJ, Moberg J, Brignardello-Petersen R, Akl EA, Davoli M, et al. , GRADE Working Group. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 1: Introduction. BMJ. 2016;353:i2016.  https://doi.org/10.1136/bmj.i2016  PMID: 27353417 
  6. Meneses-Echavez JF, Bidonde J, Yepes-Nuñez JJ, Poklepović Peričić T, Puljak L, Bala MM, et al. Evidence to decision frameworks enabled structured and explicit development of healthcare recommendations. J Clin Epidemiol. 2022;150:51-62.  https://doi.org/10.1016/j.jclinepi.2022.06.004  PMID: 35710054 
  7. Rehfuess EA, Stratil JM, Scheel IB, Portela A, Norris SL, Baltussen R. The WHO-INTEGRATE evidence to decision framework version 1.0: integrating WHO norms and values and a complexity perspective. BMJ Glob Health. 2019;4(Suppl 1):e000844.  https://doi.org/10.1136/bmjgh-2018-000844  PMID: 30775012 
  8. Morgan RL, Thayer KA, Bero L, Bruce N, Falck-Ytter Y, Ghersi D, et al. GRADE: Assessing the quality of evidence in environmental and occupational health. Environ Int. 2016;92-93:611-6.  https://doi.org/10.1016/j.envint.2016.01.004  PMID: 26827182 
  9. Norheim OF, Baltussen R, Johri M, Chisholm D, Nord E, Brock D, et al. Guidance on priority setting in health care (GPS-Health): the inclusion of equity criteria not captured by cost-effectiveness analysis. Cost Eff Resour Alloc. 2014;12(1):18.  https://doi.org/10.1186/1478-7547-12-18  PMID: 25246855 
  10. Tannahill A. Beyond evidence--to ethics: a decision-making framework for health promotion, public health and health improvement. Health Promot Int. 2008;23(4):380-90.  https://doi.org/10.1093/heapro/dan032  PMID: 18971394 
  11. Baker RE, Mahmud AS, Miller IF, Rajeev M, Rasambainarivo F, Rice BL, et al. Infectious disease in an era of global change. Nat Rev Microbiol. 2022;20(4):193-205.  https://doi.org/10.1038/s41579-021-00639-z  PMID: 34646006 
  12. World Health Organization (WHO). WHO COVID-19 dashboard. Geneva: WHO. [Accessed: 27 Mar 2023]. Available from: https://covid19.who.int/
  13. European Centre for Disease Prevention and Control (ECDC). COVID-19. Stockholm: ECDC; 2021. Available from: https://www.ecdc.europa.eu/en/covid-19
  14. Bhimraj A, Morgan RL, Hirsch Shumaker A, Baden L, Cheng VCC, Kathryn M. Edwards KM et al. IDSA guidelines on the treatment and management of patients with COVID-19. Arlington, Infectious Disease Society Of America. [Accessed: 27 Mar 2023]. Available from: https://www.idsociety.org/practice-guideline/covid-19-guideline-treatment-and-management/
  15. Malin JJ, Spinner CD, Janssens U, Welte T, Weber-Carstens S, Schälte G, et al. Key summary of German national treatment guidance for hospitalized COVID-19 patients : Key pharmacologic recommendations from a national German living guideline using an Evidence to Decision Framework (last updated 17.05.2021). Infection. 2022;50(1):93-106.  https://doi.org/10.1007/s15010-021-01645-2  PMID: 34228347 
  16. Morgan RL, Kelley L, Guyatt GH, Johnson A, Lavis JN. Decision-making frameworks and considerations for informing coverage decisions for healthcare interventions: a critical interpretive synthesis. J Clin Epidemiol. 2018;94:143-50.  https://doi.org/10.1016/j.jclinepi.2017.09.023  PMID: 28988959 
  17. Norris SL, Aung MT, Chartres N, Woodruff TJ. Evidence-to-decision frameworks: a review and analysis to inform decision-making for environmental health interventions. Environ Health. 2021;20(1):124.  https://doi.org/10.1186/s12940-021-00794-z  PMID: 34876125 
  18. Bracchiglione J, Song Y, Comas DR, Alonso-Coello P. Frameworks to support evidence-informed decision-making from a public health perspective. OSF Preprints; 2023.  https://doi.org/10.31219/osf.io/9drm6 
  19. Bracchiglione J, Song Y, Meneses-Echávez JF, de Carvalho Gomes H, Albiger B, Solà I, et al. Users’ experience of frameworks to support evidence-informed decision-making in public health: a scoping review. Euro Surveill. 2025;30(19):2400184.  https://doi.org/10.2807/1560-7917.ES.2025.30.19.2400184 
  20. European Centre for Disease Prevention and Control (ECDC). A scoping review and survey on Evidence-to-Decision Frameworks in public health. Stockholm: ECDC; 4 Apr 2025. Available from: https://www.ecdc.europa.eu/en/publications-data/scoping-review-and-survey-evidence-decision-frameworks-public-health
  21. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med. 2018;169(7):467-73.  https://doi.org/10.7326/M18-0850  PMID: 30178033 
  22. Schünemann HJ, Wiercioch W, Etxeandia I, Falavigna M, Santesso N, Mustafa R, et al. Guidelines 2.0: systematic development of a comprehensive checklist for a successful guideline enterprise. CMAJ. 2014;186(3):E123-42.  https://doi.org/10.1503/cmaj.131237  PMID: 24344144 
  23. McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement. J Clin Epidemiol. 2016;75:40-6.  https://doi.org/10.1016/j.jclinepi.2016.01.021  PMID: 27005575 
  24. Kroke A, Schmidt A, Amini AM, Kalotai N, Lehmann A, Haardt J, et al. , German Nutrition Society. Dietary protein intake and health-related outcomes: a methodological protocol for the evidence evaluation and the outline of an evidence to decision framework underlying the evidence-based guideline of the German Nutrition Society. Eur J Nutr. 2022;61(4):2091-101.  https://doi.org/10.1007/s00394-021-02789-5  PMID: 35031889 
  25. Guldbrandsson K, Stenström N, Winzer R. The DECIDE evidence to recommendation framework adapted to the public health field in Sweden. Health Promot Int. 2016;31(4):749-54.  https://doi.org/10.1093/heapro/dav060  PMID: 26082448 
  26. Ismail SJ, Hardy K, Tunis MC, Young K, Sicard N, Quach C. A framework for the systematic consideration of ethics, equity, feasibility, and acceptability in vaccine program recommendations. Vaccine. 2020;38(36):5861-76.  https://doi.org/10.1016/j.vaccine.2020.05.051  PMID: 32532544 
  27. Ismail SJ, Langley JM, Harris TM, Warshawsky BF, Desai S, FarhangMehr M. Canada’s National Advisory Committee on Immunization (NACI): evidence-based decision-making on vaccines and immunization. Vaccine. 2010;28(Suppl 1):A58-63.  https://doi.org/10.1016/j.vaccine.2010.02.035  PMID: 20412999 
  28. Van ’t Veer P, Grammatikaki E, Matthys C, Raats MM, Contor L. EURRECA-Framework for Aligning Micronutrient Recommendations. Crit Rev Food Sci Nutr. 2013;53(10):988-98.  https://doi.org/10.1080/10408398.2012.742857  PMID: 23952084 
  29. Dhonukshe-Rutten RAM, Timotijevic L, Cavelaars AEJM, Raats MM, de Wit LS, Doets EL, et al. European micronutrient recommendations aligned: a general framework developed by EURRECA. Eur J Clin Nutr. 2010;64(S2) Suppl 2;S2-10.  https://doi.org/10.1038/ejcn.2010.55  PMID: 20517317 
  30. Votruba N, Grant J, Thornicroft G. The EVITA framework for evidence-based mental health policy agenda setting in low- and middle-income countries. Health Policy Plan. 2020;35(4):424-39.  https://doi.org/10.1093/heapol/czz179  PMID: 32040175 
  31. Votruba N, Grant J, Thornicroft G. EVITA 2.0, an updated framework for understanding evidence-based mental health policy agenda-setting: tested and informed by key informant interviews in a multilevel comparative case study. Health Res Policy Syst. 2021;19(1):35.  https://doi.org/10.1186/s12961-020-00651-4  PMID: 33691696 
  32. Spencer LM, Schooley MW, Anderson LA, Kochtitzky CS, DeGroff AS, Devlin HM, et al. Seeking best practices: a conceptual framework for planning and improving evidence-based practices. Prev Chronic Dis. 2013;10:E207.  https://doi.org/10.5888/pcd10.130186  PMID: 24331280 
  33. Rasul G. A Framework for Improving Policy Priorities in Managing COVID-19 Challenges in Developing Countries. Front Public Health. 2020;8:589681.  https://doi.org/10.3389/fpubh.2020.589681  PMID: 33154960 
  34. Shafaghat T, Bastani P, Nasab MHI, Bahrami MA, Montazer MRA, Zarchi MKR, et al. A framework of evidence-based decision-making in health system management: a best-fit framework synthesis. Arch Public Health. 2022;80(1):96.  https://doi.org/10.1186/s13690-022-00843-0  PMID: 35351210 
  35. Lyn R, Aytur S, Davis TA, Eyler AA, Evenson KR, Chriqui JF, et al. Policy, systems, and environmental approaches for obesity prevention: a framework to inform local and state action. J Public Health Manag Pract. 2013;19(3) Suppl 1;S23-33.  https://doi.org/10.1097/PHH.0b013e3182841709  PMID: 23529052 
  36. Krahn M, Miller F, Bayoumi A, Brooker AS, Wagner F, Winsor S, et al. DEVELOPMENT OF THE ONTARIO DECISION FRAMEWORK: A VALUES BASED FRAMEWORK FOR HEALTH TECHNOLOGY ASSESSMENT. Int J Technol Assess Health Care. 2018;34(3):290-9.  https://doi.org/10.1017/S0266462318000235  PMID: 29987995 
  37. Almeida ND, Mines L, Nicolau I, Sinclair A, Forero DF, Brophy JM, et al. A Framework for Aiding the Translation of Scientific Evidence into Policy: The Experience of a Hospital-Based Technology Assessment Unit. Int J Technol Assess Health Care. 2019;35(3):204-11.  https://doi.org/10.1017/S0266462319000254  PMID: 31017075 
  38. Veglia A, Pahwa M, Demers PA. Establishing a Policy Framework for the Primary Prevention of Occupational Cancer: A Proposal Based on a Prospective Health Policy Analysis. Saf Health Work. 2017;8(1):29-35.  https://doi.org/10.1016/j.shaw.2016.07.001  PMID: 28344838 
  39. Canfell OJ, Davidson K, Sullivan C, Eakin EE, Burton-Jones A. PREVIDE: A Qualitative Study to Develop a Decision-Making Framework (PREVention decIDE) for Noncommunicable Disease Prevention in Healthcare Organisations. Int J Environ Res Public Health. 2022;19(22):15285.  https://doi.org/10.3390/ijerph192215285  PMID: 36430005 
  40. Stratil JM, Baltussen R, Scheel I, Nacken A, Rehfuess EA. Development of the WHO-INTEGRATE evidence-to-decision framework: an overview of systematic reviews of decision criteria for health decision-making. Cost Eff Resour Alloc. 2020;18(1):8.  https://doi.org/10.1186/s12962-020-0203-6  PMID: 32071560 
  41. Alonso-Coello P, Oxman AD, Moberg J, Brignardello-Petersen R, Akl EA, Davoli M, et al. , GRADE Working Group. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 2: Clinical practice guidelines. BMJ. 2016;353:i2089.  https://doi.org/10.1136/bmj.i2089  PMID: 27365494 
  42. Andrews J, Guyatt G, Oxman AD, Alderson P, Dahm P, Falck-Ytter Y, et al. GRADE guidelines: 14. Going from evidence to recommendations: the significance and presentation of recommendations. J Clin Epidemiol. 2013;66(7):719-25.  https://doi.org/10.1016/j.jclinepi.2012.03.013  PMID: 23312392 
  43. Andrews JC, Schünemann HJ, Oxman AD, Pottie K, Meerpohl JJ, Coello PA, et al. GRADE guidelines: 15. Going from evidence to recommendation-determinants of a recommendation’s direction and strength. J Clin Epidemiol. 2013;66(7):726-35.  https://doi.org/10.1016/j.jclinepi.2013.02.003  PMID: 23570745 
  44. Schünemann HJ, Mustafa R, Brozek J, Santesso N, Alonso-Coello P, Guyatt G, et al. , GRADE Working Group. GRADE Guidelines: 16. GRADE evidence to decision frameworks for tests in clinical practice and public health. J Clin Epidemiol. 2016;76:89-98.  https://doi.org/10.1016/j.jclinepi.2016.01.032  PMID: 26931285 
  45. Schünemann HJ, Wiercioch W, Brozek J, Etxeandia-Ikobaltzeta I, Mustafa RA, Manja V, et al. GRADE Evidence to Decision (EtD) frameworks for adoption, adaptation, and de novo development of trustworthy recommendations: GRADE-ADOLOPMENT. J Clin Epidemiol. 2017;81:101-10.  https://doi.org/10.1016/j.jclinepi.2016.09.009  PMID: 27713072 
  46. Piggott T, Brozek J, Nowak A, Dietl H, Dietl B, Saz-Parkinson Z, et al. Using GRADE evidence to decision frameworks to choose from multiple interventions. J Clin Epidemiol. 2021;130:117-24.  https://doi.org/10.1016/j.jclinepi.2020.10.016  PMID: 33127374 
  47. Rosenbaum SE, Moberg J, Glenton C, Schünemann HJ, Lewin S, Akl E, et al. Developing Evidence to Decision Frameworks and an Interactive Evidence to Decision Tool for Making and Using Decisions and Recommendations in Health Care. Glob Chall. 2018;2(9):1700081.  https://doi.org/10.1002/gch2.201700081  PMID: 31565348 
  48. Li SA, Alexander PE, Reljic T, Cuker A, Nieuwlaat R, Wiercioch W, et al. Evidence to Decision framework provides a structured "roadmap" for making GRADE guidelines recommendations. J Clin Epidemiol. 2018;104:103-12.  https://doi.org/10.1016/j.jclinepi.2018.09.007  PMID: 30253221 
  49. Neumann I, Brignardello-Petersen R, Wiercioch W, Carrasco-Labra A, Cuello C, Akl E, et al. The GRADE evidence-to-decision framework: a report of its testing and application in 15 international guideline panels. Implement Sci. 2016;11(1):93.  https://doi.org/10.1186/s13012-016-0462-y  PMID: 27417219 
  50. Meneses-Echavez JF, Rosenbaum S, Rada G, Flottorp S, Moberg J, Alonso-Coello P. Users’ experiences with an interactive Evidence to Decision (iEtD) framework: a qualitative analysis. BMC Med Inform Decis Mak. 2021;21(1):169.  https://doi.org/10.1186/s12911-021-01532-8  PMID: 34034723 
  51. Friesen VM, Mbuya MNN, Wieringa FT, Nelson CN, Ojo M, Neufeld LM. Decisions to Start, Strengthen, and Sustain Food Fortification Programs: An Application of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Evidence to Decision (EtD) Framework in Nigeria. Curr Dev Nutr. 2022;6(3):nzac010.  https://doi.org/10.1093/cdn/nzac010  PMID: 35261958 
  52. Stadelmaier J, Rehfuess EA, Forberger S, Eisele-Metzger A, Nagavci B, Schünemann HJ, et al. Using GRADE Evidence to Decision frameworks to support the process of health policy-making: an example application regarding taxation of sugar-sweetened beverages. Eur J Public Health. 2022;32(Suppl 4):iv92-100.  https://doi.org/10.1093/eurpub/ckac077  PMID: 36444109 
  53. Stratil JM, Paudel D, Setty KE, Menezes de Rezende CE, Monroe AA, Osuret J, et al. Advancing the WHO-INTEGRATE Framework as a Tool for Evidence-Informed, Deliberative Decision-Making Processes: Exploring the Views of Developers and Users of WHO Guidelines. Int J Health Policy Manag. 2022;11(5):629-41.  PMID: 33131223 
  54. Murano M, Chou D, Costa ML, Turner T. Using the WHO-INTEGRATE evidence-to-decision framework to develop recommendations for induction of labour. Health Res Policy Syst. 2022;20(1):125.  https://doi.org/10.1186/s12961-022-00901-7  PMID: 36344986 
  55. Centers for Disease Control and Prevention (CDC). Advisory Committee on Immunization Practice (ACIP) Evidence to Recommendation User’s Guide. Atlanta: CDC; 2020. [Accessed: 2 Jun 2023]. Available from: https://www.cdc.gov/vaccines/acip/recs/grade/downloads/acip-evidence-rec-frame-user-guide.pdf
  56. Lee G, Carr W, Reingold A, Hunter P, Lee G, Temte J, et al. , ACIP Evidence-Based Recommendations Work Group, ACIP Evidence Based Recommendations Work Group. Updated Framework for Development of Evidence-Based Recommendations by the Advisory Committee on Immunization Practices. MMWR Morb Mortal Wkly Rep. 2018;67(45):1271-2. . Available from: https://www.cdc.gov/mmwr/volumes/67/wr/pdfs/mm6745a4-H.pdf https://doi.org/10.15585/mmwr.mm6745a4  PMID: 30439877 
  57. Centers for Disease Control and Prevention (CDC). Advisory Committee on Immunization Practices (ACIP) Handbook for Developing Evidence-based Recommendations. Atlanta: CDC; 2013. [Accessed: 2 Jun 2023]. Available from: https://www.cdc.gov/vaccines/acip/recs/grade/downloads/handbook.pdf
  58. Ismail SJ, Tunis MC, Zhao L, Quach C. Navigating inequities: a roadmap out of the pandemic. BMJ Glob Health. 2021;6(1):e004087.  https://doi.org/10.1136/bmjgh-2020-004087  PMID: 33479019 
  59. The Community Guide. Methods Manual for Community Guide Systematic Reviews.Community Preventive Services Task Force. [Accessed: 2 Jun 2023]. Available from: https://www.thecommunityguide.org/pages/methods-manual.html
  60. Barlam TF, Cosgrove SE, Abbo LM, MacDougall C, Schuetz AN, Septimus EJ, et al. Implementing an Antibiotic Stewardship Program: Guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Clin Infect Dis. 2016;62(10):e51-77.  https://doi.org/10.1093/cid/ciw118  PMID: 27080992 
  61. Norwegian Institute of Public Health (NIPH). COVID-19-EPIDEMIC: Should individuals in the community without respiratory symptoms wear facemasks to reduce the spread of COVID-19?–a rapid review. Oslo: NIPH; 2020. Available from: https://www.fhi.no/globalassets/dokumenterfiler/rapporter/2020/should-individuals-in-the-community-without-respiratory-symptoms-wear-facemasks-to-reduce-the-spread-of-covid-19-report-2020.pdf
  62. World Health Organization (WHO). WHO Guidelines for malaria.Geneva: WHO; 2023. Available from: https://www.who.int/publications/i/item/guidelines-for-malaria
  63. de With K, Allerberger F, Amann S, Apfalter P, Brodt HR, Eckmanns T, et al. Strategies to enhance rational use of antibiotics in hospital: a guideline by the German Society for Infectious Diseases. Infection. 2016;44(3):395-439.  https://doi.org/10.1007/s15010-016-0885-z  PMID: 27066980 
  64. World Health Organization (WHO). Guidelines on sanitation and health. Geneva: WHO; 2018. Available from: https://www.who.int/publications/i/item/9789241514705
  65. The Association of Scientific Medical Societies in Germany (AWMF). S3-Leitlinie Maßnahmen zur Prävention und Kontrolle der SARS-CoV-2-Übertragung in Schulen | Lebende Leitlinie Evidenzgrundlage. [S3-Guideline Measures for the prevention and control of SARS-CoV-2 transmission in schools. Living Guideline]. Frankfurt am Main: AWMF;2022. German. Available from: https://register.awmf.org/assets/guidelines/027-076e_Praevention_und_Kontrolle_SARS-CoV-2-Uebertragung_in_Schulen_2022-10.pdf
  66. Public Health Agency of Canada. An Advisory Committee Statement (ACS) National Advisory Committee on Immunization (NACI): Updated Recommendations on the Use of Herpes Zoster Vaccines. Ottawa: Public Health Agency of Canada; 2018. Available from: https://www.canada.ca/content/dam/phac-aspc/documents/services/publications/healthy-living/updated-recommendations-use-herpes-zoster-vaccines-eng.pdf
  67. Public Health Agency of Canada. An Advisory Committee Statement (ACS) National Advisory Committee on Immunization (NACI) - Guidance on COVID-19 vaccine booster doses: Initial considerations for 2023. Ottawa: Public Health Agency of Canada; 2023. Available from: https://www.canada.ca/content/dam/phac-aspc/documents/services/immunization/national-advisory-committee-on-immunization-naci/guidance-covid-19-vaccine-booster-doses-initial-considerations-2023/guidance-covid-19-vaccine-booster-doses-initial-considerations-2023.pdf
  68. Centers for Disease Prevention and Control (CDC). HIV Prevention and Control: Partner Services to Increase HIV Testing. Atlanta: CDC; 2021 Available from: https://stacks.cdc.gov/view/cdc/164213
  69. Centers for Disease Prevention and Control (CDC). Findings for Increasing Vaccination. Atlanta: CDC; 2016. Available from: https://www.thecommunityguide.org/pages/task-force-findings-increasing-vaccination.html
  70. Stratil JM, Voss M, Arnold L. WICID framework version 1.0: criteria and considerations to guide evidence-informed decision-making on non-pharmacological interventions targeting COVID-19. BMJ Glob Health. 2020;5(11):e003699.  https://doi.org/10.1136/bmjgh-2020-003699  PMID: 33234529 
  71. Lomas JRS. Incorporating affordability concerns within cost-effectiveness analysis for health technology assessment. Value Health. 2019;22(8):898-905.  https://doi.org/10.1016/j.jval.2019.05.003  PMID: 31426931 
  72. Bellemare CA, Dagenais P, K-Bédard S, Béland JP, Bernier L, Daniel , et al. Ethics in health technology assessment: a systematic review. Int J Technol Assess Health Care. 2018;34(5):447-57.  https://doi.org/10.1017/S0266462318000508  PMID: 30296950 
  73. Armstrong MJ, Rueda JD, Gronseth GS, Mullins CD. Framework for enhancing clinical practice guidelines through continuous patient engagement. Health Expect. 2017;20(1):3-10.  https://doi.org/10.1111/hex.12467  PMID: 27115476 
  74. Oliver K, Lorenc T, Innvær S. New directions in evidence-based policy research: a critical analysis of the literature. Health Res Policy Syst. 2014;12(1):34.  https://doi.org/10.1186/1478-4505-12-34  PMID: 25023520 
  75. Gillard S, Simons L, Turner K, Lucock M, Edwards C. Patient and public involvement in the coproduction of knowledge: reflection on the analysis of qualitative data in a mental health study. Qual Health Res. 2012;22(8):1126-37.  https://doi.org/10.1177/1049732312448541  PMID: 22673090 
/content/10.2807/1560-7917.ES.2025.30.19.2400185
Loading

Data & Media loading...

Supplementary data

Submit comment
Close
Comment moderation successfully completed
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error