Information de reference pour ce titreAccession Number: | 00126334-201408151-00013.
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Author: | LaCroix, Jessica M. MS *,+; Snyder, Leslie B. PhD ++; Huedo-Medina, Tania B. PhD +,[S]; Johnson, Blair T. PhD *,+
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Institution: | (*)Department of Psychology, University of Connecticut, Storrs, CT; (+)Center for Health, Intervention, and Prevention, University of Connecticut, Storrs, CT; (++)Department of Communication, University of Connecticut, Storrs, CT and Center for Health Communication and Marketing, University of Connecticut, Storrs, CT; ([S])Department of Allied Health Sciences, University of Connecticut, Storrs, CT.
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Title: | |
Source: | JAIDS Journal of Acquired Immune Deficiency Syndromes. 66 (Supplement 1):S329-S340, August 15, 2014.
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Abstract: | Objectives: This meta-analysis was conducted to synthesize evaluations of mass media-delivered HIV prevention interventions, assess the effectiveness of interventions in improving condom use and HIV-related knowledge, and identify moderators of effectiveness.
Study Selection: We systematically searched electronic databases, relevant Web sites, related journals, and reference lists of previous reviews and included studies. Studies that quantitatively evaluated the effectiveness of mass media-delivered HIV prevention using pre-/post-campaign assessments, targeted the general population, reported outcomes of interest, and were available as of September 30, 2013 were eligible for inclusion.
Data Extraction and Synthesis: Raters coded report, intervention, and sample characteristics. The standardized mean difference, d, comparing pretest and posttest assessments was calculated for each study sample. Effect sizes were analyzed incorporating random-effects assumptions.
Results: Of the 433 obtained and screened reports, 54 reports containing evaluations of 72 interventions using 93 samples (N = 142,196) met the selection criteria and were included. Campaigns were associated with increases in condom use [d+ = 0.25, 95% confidence interval (CI) = 0.18 to 0.21], transmission knowledge (d+ = 0.30, 95% CI = 0.18 to 0.41), and prevention knowledge (d+ = 0.39, 95% CI = 0.25 to 0.52). Increases in condom use were larger for longer campaigns and in nations that scored lower on the human development index. Increases in transmission knowledge were larger to the extent that respondents reported greater campaign exposure, for more recent campaigns, and for nations that scored lower on the human development index.
Conclusions: Mass media interventions may be useful in reducing global HIV/AIDS disparities because of their reach and effectiveness.
(C) 2014 by Lippincott Williams & Wilkins
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Author Keywords: | HIV/AIDS; global health; mass media; health promotion; sexual health.
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References: | 1. Andreasen A. Marketing Social Change: Changing Behavior to Promote Health, Social Development, and the Environment. San Francisco, CA: Jossey-Bass; 1995.
2. Kotler P, Lee N. Social Marketing: Influencing Behaviors for Good. Thousand Oaks, CA: Sage; 2008.
3. Atkin CK, Freimuth VS. Formative evaluation research in campaign design. In: Rice RE, Atkin CK, eds. Public Communication Campaigns. 3rd ed. Thousand Oaks, CA: Sage; 2001:125-145.
4. Rogers EM. Diffusion of Innovations. 5th ed. New York, NY: Free Press; 2003.
5. Piotrow PT, Kincaid DL, Rimon JG III, et al.. Health Communication: Lessons from Family Planning and Reproductive Health. Westport, CT: Praeger; 1997.
6. National Cancer Institute. The Role of the Media in Promoting and Preventing Tobacco Use. Available at: http://cancercontrol.cancer.gov/...- ouverture dans une nouvelle fenêtre. Bethesda, MD: U.S. Department of Health & Human Services, National Institutes of Health, National Cancer Institute. Tobacco Control Monograph No. 19. NIH Pub. No 07-6242. Published June 2008.
7. Shea S, Basch CE. A review of five major community-based cardiovascular disease prevention programs. Part II: Intervention strategies, evaluation methods, and results. Am J Health Promot. 1990;4:279-287.
8. Snyder LB, Hamilton MA. Meta-analysis of U.S. health campaign effects on behavior: emphasize enforcement, exposure, and new information, and beware the secular trend. In: Hornik RC, ed. Public Health Communication: Evidence for Behavior Change. Hillsdale, NJ: Lawrence Erlbaum Associates; 2002:357-383.
9. Snyder LB, Hamilton MA, Mitchell EW, et al.. A meta-analysis of the effect of mediated health communication campaigns on behavior change in the United States. J Health Comm. 2004;9(suppl l):71-96.
10. Wellings K. Evaluating AIDS public education in Europe: a cross-national comparison. In: Hornik RC, ed. Public Health Communication: Evidence for Behavior Change. Hillsdale, NJ: Lawrence Erlbaum Associates; 2002:131-146.
11. Ross JA, Mauldin WP. Family planning programs: efforts and results, 1972-1994. Stud Fam Plann. 1996;27:137-147.
12. Snyder LB. Development communication campaigns. In: Mody B, ed. International and Development Communication: A 21st-Century Perspective. Thousand Oaks, CA: Sage; 2003:167-188.
13. Hornik R, Contreras-Budge E, McDivitt J, et al.. Communication for child survival: evaluation of "Healthcom" projects in ten countries. 1992. Unpublished manuscript. USAID Contract No. DPE-5984-Z-00-9018-00.
14. Myhre SL, Flora JA. HIV/AIDS communication campaigns: progress and prospects. J Health Comm. 2000;5(suppl l):29-45.
15. Noar SM, Palmgreen P, Chabot M, et al.. A 10-year systematic review of HIV/AIDS mass communication campaigns: have we made progress? J Health Comm. 2009;14:15-42.
16. Bertrand JT, O'Reilly K, Denison J, et al.. Systematic review of the effectiveness of mass communication programs to change HIV/AIDS-related behaviors in developing countries. Heath Educ Res. 2006;21:567-597.
17. Moher D, Liberati A, Tetzlaff J, et al.. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2002;6:e1000097.
18. World Bank. World Development Indicators 2007 [CD-rom]. Washington, DC; World Bank; 2007.
19. United Nations Development Programme. Statistics of the Human Development Report. New York, NY: Oxford University Press; 2008.
20. Hedges LV. Distribution theory for Glass's estimator of effect size and related estimators. J Educ Stat. 1981;6:107-128.
21. Lipsey MW, Wilson DB. Practical Meta-analysis. Thousand Oaks, CA: Sage; 2001.
22. Huedo-Medina TB, Johnson BT. Estimating the Standardized Mean Difference Effect Size and its Variance from Different Data Sources [Spreadsheet]. Storrs, CT: Authors; 2011.
23. Sanchez-Meca J, Marin-Martinez F, Chacon-Moscoso S. Effect-size indices for dichotomized outcomes in meta-analysis. Psychol Methods. 2003;8:448-467.
24. Harbord RM, Higgins JPT. Meta-regression in Stata. Stata J. 2008;8:493-519.
25. Stata Statistical Software: Release 11.2. [Computer Program]. College Station, TX: StataCorp LP; 2010.
26. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539-1558.
27. Huedo-Medina TB, Sanchez-Meca J, Marin-Martinez F, et al.. Assessing heterogeneity in meta-analysis: Q statistic or I2 index? Psychol Methods. 2006;11:193-206.
28. Higgins JP, Thompson SG, Deeks JJ, et al.. Measuring inconsistency in meta-analyses. Br Med J. 2003;327:557-560.
29. Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50:1088-1101.
30. Duval S, Tweedie R. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56:455-463.
31. Egger M, Davey Smith G, Schneider M, et al.. Bias in meta-analysis detected by a simple, graphical test. Br Med J. 1997;315:629-634.
32. Johnson BT, Huedo-Medina TB. Depicting estimates using the intercept in meta-regression models: the moving constant technique. Res Synth Methods. 2011;2:204-220.
33. ACQUIRE Project. Mobilizing Married Youth in Nepal to Improve Reproductive Health: The Reproductive Health for Married Adolescent Couples Project, Nepal, 2005-2007. E&R Report No. 12. New York, NY: EngenderHealth/The ACQUIRE Project. Available at: http://www.acquireproject.org/ar...- ouverture dans une nouvelle fenêtre. Published August 2008.
34. Alstead M, Campsmith M, Halley CS, Hartfield K, Goldbaum G, Wood RW. Developing, implementing, and evaluating a condom promotion program targeting sexually active adolescents. AIDS Educ Prev. 1999;11:497-512.
35. American Refugee Committee (ARC) International. Post-Intervention Survey Report: HIV/AIDS/STI Knowledge, Attitudes and Practice (KAP) Survey Among Commercial Sex Workers, Military and Youth in Port Loko, Sierra Leone. Refugee Studies Centre. Available at: http://www.rhrc.org/resources/AR...- ouverture dans une nouvelle fenêtre. Published August 2003.
36. Askew I, Chege J, Njue C, Radeny S. A multi-sectoral approach to providing reproductive health information and services to young people in western Kenya: Kenya adolescent reproductive health project. Population Council In-house Project No: 5800 13042. USAID Cooperative Agreement No: HRN-A-00-98-00012-00. Available at: http://www.popcouncil.org/pdfs/f...- ouverture dans une nouvelle fenêtre. Published June 2004.
37. Brown J. Evaluation of the impact of the protector condom campaign in Malawi. Social Marketing for Change (SOMARC) Occasional Paper No. 19. Available at: http://pubs.futuresgroup.com/sop...- ouverture dans une nouvelle fenêtre. Published May 1994.
38. Caron SL, Davis CM, Wynn RL, Roberts LW. "America responds to AIDS," but did college students? Differences between March, 1987, and September, 1988. AIDS Educ Prev. 1992;4:18-28.
39. de Vroome EMM, Paalman MEM, Sandfort TGM. AIDS in the Netherlands: The effects of several years of campaigning. Int J STD AIDS. 1990;1:268-275.
40. Duff D, Muthuswamy N, Singhal A. Quantitative report #2: A pre-post sentinel site survey in Bihar, India assessing the effects of Taru. In: Singhal A, Witte K, Muthuswamy N, Duff D, et al., eds. Effects of Taru, a Radio Soap Opera, on Audiences in India: A Quantitative and Qualitative Analysis. Athens, OH: Ohio University, School of Communication Studies. Consolidated report submitted to Population Communications International. Available at: http://utminers.utep.edu/asingha...- ouverture dans une nouvelle fenêtre. Published January 2004.
41. Elkins D, Maticka-Tyndale E, Kuyyakanond T, Kiewying M, Anusornteerakul S, Chantapreeda N, et al.. Evaluation of HIV/AIDS education initiatives among women in northeastern Thai villages. Southeast Asian J Trop Med Pub Health. 1996;27:430-442.
42. Elkins D, Maticka-Tyndale E, Kuyyakanond T, Miller P, Haswell-Elkins M. Toward reducing the spread of HIV in northeastern Thai villages: Evaluation of a village-based intervention. AIDS Educ Prev. 1997;9:49-69.
43. Great Britain Department of Health and Social Security. AIDS: Monitoring Response to the Public Education Campaign February 1986-February 1987. London, United Kingdom: Her Majesty's Stationary Office; 1987.
44. Hattori MG, Richter K, Greene J. Trust, caution, and condom use with regular partners: an evaluation of the trusted partner campaign targeting youth in four countries. Soc Market Quart. 2010;16:18-48.
45. Institut de Recherche et des Etudes des Comportements (IRESCO). Peer education as a strategy to increase contraceptive prevalence and reduce the rate of STIs/HIV among adolescents in Cameroon. Population Council Subproject No. A100.32A. USAID Cooperative Agreement No. HRN-A-00-98-00012-00. Available at: http://www.popcouncil.org/pdfs/f...- ouverture dans une nouvelle fenêtre. Published July 2002.
46. Keating J, Meekers D, Adewuyi A. Assessing effects of a media campaign on HIV/AIDS awareness and prevention in Nigeria: results from the VISION Project. BMC Pub Health. 2006;6:123.
47. Kim YM, Kols A, Nyakauru R, Marangwanda C, Chibatamoto P. Promoting sexual responsibility among young people in Zimbabwe. Int Fam Plan Perspec. 2001;27:11-19.
48. Lehmann P, Hausser D, Somini B, Gutzwiller F. Campaign against AIDS in Switzerland: evaluation of a nationwide educational programme. Brit Med J. 1987;295:1118-1120.
49. Manafa OU, Ahmed OA, Omotola BD. Post-intervention survey on the knowledge, attitudes, beliefs and practices of people in Lagos State, Nigeria about HIV/AIDS. World Health Pop. 2006;8:35-45.
50. Martinez-Donate AP, Zellner JA, Sanudo F, et al.. Hombres Sanos: evaluation of a social marketing campaign for heterosexually identified Latino men who have sex with men and women. Am J Pub Health. 2010;100:2532-2540.
51. McCombie S, Hornik R. Evaluation of a Workplace-Based Peer Education Program Designed to Prevent AIDS in Uganda. Final report. Working Paper No. 1011. USAID Contract No. DPE 5972-Z-00-7070-00. University Park, PA: University of Pennsylvania, Annenberg School for Communication, Center for International, Health and Development Communication. Published April 1992.
52. McCombie S, Hornik RC, Anarfi JK. Effects of a mass media campaign to prevent AIDS among young people in Ghana. In: Hornik RC, ed. Public Health Communication: Evidence for Behavior Change. Hillsdale, NJ: Lawrence Erlbaum Associates; 2002.
53. Meekers D, Stallworthy G, Harris J. Changing Adolescents' Beliefs About Protective Sexual Behavior: The Botswana Tsa Banana Program. Washington, DC: Population Services International Research Division Working Paper No. 3. Available at: http://www.psi.org/sites/default...- ouverture dans une nouvelle fenêtre. Published 1997.
54. Meekers D. Going underground and going after women: trends in sexual risk behaviour among gold miners in South Africa. Int J STD AIDS. 2000;11:21-26.
55. Meekers D. The effectiveness of targeted social marketing to promote adolescent reproductive health: the case of Soweto, South Africa. J HIV/AIDS Prev Educ Adolesc Children. 2000;3:73-92.
56. Merritt AP, Kincaid DL, Lujan M, Varela L. Mass media AIDS prevention campaign in Lima, Peru. Paper presented at: The 117th Annual Meeting of the American Public Health Association; 1997; Chicago, IL.
57. Milleliri JM, Krentel A, Rey JL. Sensitisation about condom use in Gabon (1999): evaluation of the impact of a comic book. Sante. 2003;13:253-264.
58. Mills S, Campbell MJ, Waters WE. Public knowledge of AIDS and the DHSS advertisement campaign. Brit Med J. 1986;293:1089-1090.
59. Pauw J, Ferrie J, Villegas RR, Martinez JM, Gorter A, Egger M. A controlled HIV/AIDS-related health education programme in Managua, Nicaragua. AIDS. 1996;10:537-544.
60. Plautz A, Meekers D. The Reach and Impact of the PSI Adolescent Reproductive Health Program in Butare Province, Rwanda. Washington, DC: Population Services International Research Division Working Paper No. 56. Available at: http://paa2004.princeton.edu/pap...- ouverture dans une nouvelle fenêtre. Published 2003.
61. Plautz A, Meekers D. Evaluation of the reach and impact of the 100% Jeune youth social marketing program in Cameroon: findings from three cross-sectional surveys. Reprod Health. 2007;4:1.
62. Plautz A, Meekers D, Neukom J. The impact of the Madagascar Top Reseau Social Marketing Program on Sexual Behavior and Use of Reproductive Health Services. Washington, DC: Population Services International Research Division Working Paper No. 57. Published 2003.
63. Rigby K, Brown M, Anagnostou P, Ross MW, Rosser BRS. Shock tactics to counter AIDS: the Australian experience. Psychol Health. 1989;3:145-159.
64. Rimal RN, Creel AH. Applying social marketing principles to understand the effects of the Radio Diaries program in reducing HIV/AIDS stigma in Malawi. Health Mark Q. 2008;25:119-146.
65. Sherr L. An evaluation of the UK government health education campaign on AIDS. Psychol Health. 1987;1:61-72.
66. Sikkema KL, Kelly JA, Winett RA, et al.. Outcomes of a randomized community-level HIV prevention intervention for women living in 18 low-income housing developments. Am J Public Health. 2000;90:57-63.
67. Singer E, Rogers TF, Glassman MB. Public opinion about AIDS before and after the 1988 U.S. Government public information campaign. Public Opin Quart. 1991;55:161-179.
68. Sood S, Singh PK, Sarwal R. Reaching the underserved: measuring the impact of a community media intervention, Uttar Pradesh, India. Int Q Community Health Educ. 2004;23:117-138.
69. Sood S, Shefner-Rogers CL, Sengupta M. The impact of a mass media campaign on HIV/AIDS knowledge and behavior change in North India: results from a longitudinal study. Asian J Commun. 2006;16:231-250.
70. Tambashe BO, Speizer IS, Amouzou A, Djangone AMR. Evaluation of the PSAMO "Roulez Protege" mass media campaign in Burkina Faso. AIDS Educ Prev. 2003;15:33-48.
71. Thompson ME, Harutyunyan TL. Impact of a community-based integrated management of childhood illnesses (IMCI) programme in Gegharkunik, Armenia. Health Policy Plan. 2009;24:101-107.
72. Tian L, Songyuan T, Cao W, Zhang K, Li V, Detels R. Evaluation of a web-based intervention for improving HIV/AIDS knowledge in rural Yunnan, China. AIDS. 2007;21(Suppl 8):S137-S142.
73. Trykker H, Kalumba K, Hamming A, Eberhard M. Changes in public knowledge and awareness of AIDS in Zambia. AIDS. 1992;6:1408-1409.
74. Tweedie I. Evaluation of the "We Are All At Risk" HIV/AIDS Prevention Campaign in Ghana, 1994-1995: Key Findings. Baltimore, MD: Johns Hopkins Bloomberg School of Public Health, Center for Communication Programs; 1999.
75. Underwood C, Serlemitsos E, Chabwela P, Bharath U, Hachonda H. Impact of the Heart Campaign: Findings From the 2003 Survey of Zambian Youth. Baltimore, MD: Johns Hopkins Bloomberg School of Public Health, Center for Communication Programs; 2004.
76. Underwood C, Hachonda H, Serlemitsos E, Bharath-Kumar U. Reducing the risk of HIV transmission among adolescents in Zambia: psychosocial and behavioral correlates of viewing a risk-reduction media campaign. J Adolesc Health. 2006;38:55.e1-55.e13.
77. Van Rossem R, Meekers D. An Evaluation of the Effectiveness of Targeted Social Marketing to Promote Adolescent and Reproductive Health in Guinea. Washington, DC: Population Services International Research Division Working Paper No. 23. Available at: http://www.psi.org/sites/default...- ouverture dans une nouvelle fenêtre. Published 1999.
78. Van Rossem R, Meekers D. An evaluation of the effectiveness of targeted social marketing to promote adolescent and young adult reproductive health in Cameroon. AIDS Educ Prev. 2000;12:383-404.
79. Vaughan PW, Regis A, St. Catherine E. Effects of an entertainment-education radio soap opera on family planning and HIV prevention in St. Lucia. Int Fam Plan Perspectives. 2000;26:148-157.
80. Vaughan PW, Rogers EM, Singhal A, Swalehe RM. Entertainment-education and HIV/AIDS prevention: a field experiment in Tanzania. J Health Comm. 2000;5:81-100.
81. Vernon R, Ojeda G, Murad R. Incorporating AIDS prevention activities into a family planning organization in Columbia. Stud Family Plan. 1990;21:335-343.
82. Weir S, Figueroa JP, Byfield L, et al.. A Randomized Controlled Trial to Investigate Impact of Site-Based Safer Sex Programs in Kingston, Jamaica: Trial Design, Methods, and Results. MEASURE Evaluation Report No. TR-09-64. USAID Cooperative Agreement No. GPO-A-00-03-00003-00. Chapel Hill, NC: Carolina Population Center. Available at: http://www.cpc.unc.edu/measure/p...- ouverture dans une nouvelle fenêtre. Published October 2009.
83. Wober JM. Informing the British public about AIDS. Health Educ Res. 1988;3:19-24.
84. Xiangyang T, Lan Z, Xueping M, Tao Z, Yuzhen S, Jagusztyn M. Beijing health promoting universities: practice and evaluation. Health Promot Int. 2003;18:107-113.
85. Yoder H, Chirwa. Evaluating the program effects of a radio drama about AIDS in Zambia. Stud Family Plan. 1996;27:188-203.
86. Zimmerman RS, Palmgreen PM, Noar SM, Lustria MLA, Lu HY, HoroseWithinki ML. Effects of a televised two-city safer sex mass media campaign targeting high-sensation-seeking and impulsive-decision-making young adults. Health Educ Behav. 2007;34:810-826.
87. Huedo-Medina TB, Boynton MH, LaCroix JM, et al.. Efficacy of HIV prevention intervention in Latin American and Caribbean Nations, 1995-2008: a meta-analysis. AIDS Behav. 2010;14:1237-1244.
88. LaCroix JM, Pellowski JA, Lennon CA, et al.. Behavioural interventions to reduce sexual risk for HIV in heterosexual couples: a meta-analysis. Sex Transm Infect. 2013;89:620-627.
89. Tan JY, Huedo-Medina TB, Warren MR, et al.. A meta-analysis of the efficacy of HIV/AIDS prevention interventions in Asia, 1995-2009. Soc Sci Med. 2012;75:676-687.
90. Sood S, Sengupta M. More is more! the dose-effect relationship between HIV/AIDS-related mass media exposure and HIV/AIDS knowledge and behavior outcomes. Paper presented at the annual meeting of the International Communication Association; May 27-31, 2004; New Orleans, LA.
91. Mizuno Y, Kennedy M, Weeks-Norton K, et al.. An examination of adolescents who were and were not exposed to "Teens Stopping AIDS": reaching the hard-to-reach. J Health Comm. 2002;7:197-203.
92. Broadbent S. Spending Advertising Money: An Introduction to Media Planning, Media Buying and the Uses of Media Research. 3rd ed. London, United Kingdom: Business Books; 1979.
93. Watt JH, Mazza M, Snyder L. Agenda setting effects of television news coverage and the effects decay curve. Commun Res. 1993;20:408-435.
94. Johnson BT, Scott-Sheldon LA, LaCroix JM, et al.. Behavioral interventions for African-Americans to reduce sexual risk of HIV: a meta-analysis of randomized controlled trials. J Acquir Immune Defic Syndr. 2009;51:492-501.
95. Albarracin D, Gillette J, Earl A, et al.. A test of assumptions about behavior change: a comprehensive look at HIV prevention interventions since the beginning of the epidemic. Psychol Bull. 2005;131:856-897.
96. Johnson BT, Scott-Sheldon LAJ, Carey MP. Meta-synthesis of health behavior change meta-analyses? Am J Public Health. 2010;100:2193-2198.
97. Johnson BT, Carey MP, Marsh KL, et al.. Interventions to reduce sexual risk for the Human Immunodeficiency Virus in adolescents, 1985-2000: a research synthesis. Arch Pediatr Adolesc Med. 2011;165:77-84.
98. Noar SM. Behavioral interventions to reduce HIV-related sexual risk behavior: review and synthesis of meta-analytic evidence. AIDS Behav. 2008;12:335-353.
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Language: | English.
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Document Type: | Supplement Article.
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Journal Subset: | Nursing. Clinical Medicine. Health Professions.
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ISSN: | 1525-4135
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DOI Number: | https://dx.doi.org/10.1097/QAI.0...- ouverture dans une nouvelle fenêtre
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