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Clinician Use of HIV-Related Infographics During Clinic Visits in the Dominican Republic is Associated with Lower Viral Load and Other Improvements in Health Outcomes

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Abstract

We designed an infographic intervention to help clinicians provide health information to persons living with HIV. In this study, we assessed the extent to which our intervention may improve objectively and subjectively measured health outcomes (CD4 count, viral load, and engagement with clinician among others) when integrated into routine visits in the Dominican Republic. In this pretest–posttest study, we followed participants for 9 months at 3-month intervals. Physicians administered the intervention during participants’ first 3 visits. Outcome measures, selected using a conceptual model, were assessed at 4 time points. We assessed changes in outcomes over time with general linear regressions and Wilcoxon Signed-Rank tests. Participants (N = 50) were mostly female (56%) and had been living with HIV for a mean of 6.3 years (SD = 6.1). All outcomes, except CD4 count, demonstrated statistically significant improvements by study end. This provides preliminary evidence our intervention may improve outcomes, but further testing is needed.

Resumen

Diseñamos una intervención infográfica para ayudar a los médicos brindar información médica a personas viviendo con el VIH. En este estudio, evaluamos en qué medida nuestra intervención puede mejorar los resultados de salud (conteo de CD4, carga viral, y compromiso con el médico entre otros), medidos de una manera objetiva y subjetiva, cuando se incorpora en las visitas médicas de rutina en la República Dominicana. En este estudio de prueba previo y posterior, seguimos los participantes durante 9 meses a intervalos de 3 meses. Los médicos administraron la intervención durante las primeras 3 visitas de los participantes. Seleccionamos las medidas de resultado utilizando un marco conceptual y las evaluamos en los 4 puntos de tiempo. Evaluamos cambios a lo largo del tiempo usando regresiones lineales generales y pruebas de asociación de Wilcoxon Signed-Rank. Los participantes (N = 50) fueron mayormente mujeres (56%) y habían estado viviendo con el VIH durante una media de 6,3 años (DE = 6,1). Todos los resultados, aparte del conteo de CD4, demostraron mejoras estadísticamente significativas al final del estudio. Esto proporciona evidencia preliminar de que nuestra intervención puede mejorar los resultados de la salud, pero se justifican pruebas adicionales.

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Data Availability

All data and coding available upon request.

References

  1. De Boni R, Veloso V, Grinsztejn B. Epidemiology of HIV in Latin America and the Caribbean. Curr Opin HIV AIDS. 2014;9(2):192–8.

    Article  PubMed  Google Scholar 

  2. Figueroa J. Review of HIV in the Caribbean: significant progress and outstanding challenges. Curr HIV/AIDS Rep. 2014;11:158–67.

    Article  PubMed  Google Scholar 

  3. Rojas P, Malow R, Ruffin B, Rothe E, Rosenberg R. The HIV/AIDS epidemic in the Dominican Republic: key contributing factors. J Int Assoc Prov AIDS Care. 2011;10(5):306–15.

    Google Scholar 

  4. Gebre Y, Forbes NM, Peters A. Review of HIV treatment progress, gaps, and challenges in the Caribbean, 2005–2015. Rev Panam Salud Publica. 2016;40(6):468–73.

    PubMed  Google Scholar 

  5. Stormacq C, Van den Broucke S, Wosinski J. Does health literacy mediate the relationship between socioeconomic status and health disparities? Integrative review. Health Promot Int. 2019;34(5):e1–17.

    Article  PubMed  Google Scholar 

  6. Challacombe SJ. Global inequalities in HIV infection. Oral Dis. 2020;26:16–21.

    Article  PubMed  Google Scholar 

  7. Hintzen P, Vertovec J, Cyrus E, Padilla M, Varas-Díaz N. Introduction to the special issue: Applying a Caribbean perspective to an analysis of HIV/AIDS. Glob Public Health. 2019;14(11):1547–56.

    Article  PubMed  Google Scholar 

  8. Montgomery MC, Alholm Z, Almonte A, et al. A cross-sectional evaluation of HIV testing practices among women in the rural Dominican Republic. BMC Womens Health. 2020;20(21):1–10.

    Google Scholar 

  9. Osborn CY, Paasche-Orlow MK, Davis TC, Wolf MS. Health literacy: an overlooked factor in understanding HIV health disparities. Am J Prev Med. 2007;33(5):374–8.

    Article  PubMed  Google Scholar 

  10. Sentell TL, Halpin HA. Importance of adult literacy in understanding health disparities. J Gen Intern Med. 2006;21(8):862–6.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Mackey LM, Doody C, Werner EL, Fullen B. Self-management skills in chronic disease management what role does health literacy have? Med Decis Making. 2016;36(6):741–59.

    Article  PubMed  Google Scholar 

  12. Laws MB, Danielewicz M, Rana A, Kogelman L, Wilson IB. Health literacy in Hiv treatment: accurate understanding of key biological treatment principles is not required for good Art adherence. AIDS Behav. 2015;19(4):635–44.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Stonbraker S, Smaldone A, Luft H, et al. Associations between health literacy, HIV-related knowledge, and information behavior among persons living with HIV in the Dominican Republic. Public Health Nurs. 2017;35(3):166–75.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Reynolds R, Smoller S, Allen A, Nicholas PK. Health literacy and health outcomes in persons living with HIV disease: a systematic review. AIDS Behav. 2019;23(11):3024–43.

    Article  PubMed  Google Scholar 

  15. Palumbo R. Discussing the effects of poor health literacy on patients facing HIV: a narrative literature review. Int J Health Policy Manage. 2015;4(7):417.

    Article  Google Scholar 

  16. Wawrzyniak AJ, Ownby RL, McCoy K, Waldrop-Valverde D. Health literacy: impact on the health of HIV-infected individuals. Curr HIV/AIDS Rep. 2013;10(4):295–304.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Mogobe KD, Shaibu S, Matshediso E, et al. Language and culture in health literacy for people living with HIV: perspectives of health care providers and professional care team members. AIDS Res Treat. 2016;2016:1–11.

    Article  Google Scholar 

  18. Wolf MS, Wilson EA, Rapp DN, et al. Literacy and learning in health care. Pediatrics. 2009;124(Supplement 3):S275–81.

    Article  PubMed  Google Scholar 

  19. McCarthy DM, Waite KR, Curtis LM, et al. What did the doctor say? Health literacy and recall of medical instructions. Med Care. 2012;50(4):277.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Rubin LH, Cook JA, Springer G, et al. Perceived and post-traumatic stress are associated with decreased learning, memory, and fluency in HIV-infected women. AIDS. 2017;31(17):2393.

    Article  PubMed  Google Scholar 

  21. Garcia-Retamero R, Dhami MK. Pictures speak louder than numbers: on communicating medical risks to immigrants with limited non-native language proficiency. Health Expect. 2011;14(s1):46–57.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Houts P, Doak C, Doak L, Loscalzo M. The role of pictures in improving health communication: a review of research on attention, comprehension, recall, and adherence. Patient Educ Couns. 2006;61:173–90.

    Article  PubMed  Google Scholar 

  23. Unertl KM, Schaefbauer CL, Campbell TR, et al. Integrating community-based participatory research and informatics approaches to improve the engagement and health of underserved populations. J Am Med Inform Assoc. 2016;23(1):60–73.

    Article  PubMed  Google Scholar 

  24. Arcia A, Suero-Tejeda N, Bales ME, et al. Sometimes more is more: iterative participatory design of infographics for engagement of community members with varying levels of health literacy. J Am Med Inform Assoc. 2016;23(1):174–83.

    Article  PubMed  Google Scholar 

  25. Garcia-Retamero R, Okan Y, Cokely ET. Using visual aids to improve communication of risks about health: a review. Sci World J. 2012;81(4):257–69.

    Google Scholar 

  26. Stonbraker S, Flynn G, George M, et al. Feasibility and acceptability of using information visualizations to improve HIV-related communication in a limited-resource setting: A short report. AIDS Care. https://doi.org/10.1080/09540121.2021.1883517. (in press)

  27. Bowen DJ, Kreuter M, Spring B, et al. How we design feasibility studies. Am J Prev Med. 2009;36(5):452–7.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Clínica de Familia. Reporte anual. La Romana, Dominican Republic: Clínica de Familia La Romana. 2015. https://www.clinicadefamilia.org.do/wordpress/wp-content/uploads/2012/07/Reporte-Anual-2015_Cl%C3%ADnica-de-Familia-La-Romana.pdf. Accessed June 2021.

  29. Stonbraker S, Halpern M, Bakken S, Schnall R. Special Section on Visual Analytics in Healthcare: developing infographics to facilitate HIV-related patient-provider communication in a limited-resource setting. Appl Clin Inf. 2019;10(4):597–609.

    Article  Google Scholar 

  30. Stonbraker S, Richards SD, Halpern M, Bakken S, Schnall R. Priority topics for health education to support HIV self-management in limited-resource settings. J Nurs Scholarsh. 2019;51(2):168–77.

    Article  PubMed  Google Scholar 

  31. Dawson-Rose C, Cuca YP, Webel AR, et al. Building Trust and relationships between patients and providers: an essential complement to health literacy in HIV care. J Assoc Nurses AIDS Care. 2016;27(5):574–84.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Williams M, Davis T, Parker R, Weiss B. The role of health literacy in patient-physician communication. Fam Med. 2002;34(5):383–9.

    PubMed  Google Scholar 

  33. Kreuter MW, McClure SM. The role of culture in health communication. Annu Rev Public Health. 2004;25:439–55.

    Article  PubMed  Google Scholar 

  34. Cegala DJ, Lenzmeier BS. Physician communication skills training: a review of theoretical backgrounds, objectives and skills. Med Educ. 2002;36(11):1004–16.

    Article  PubMed  Google Scholar 

  35. Berkhof M, van Rijssen HJ, Schellart AJ, Anema JR, van der Beek AJ. Effective training strategies for teaching communication skills to physicians: an overview of systematic reviews. Patient Educ Couns. 2011;84(2):152–62.

    Article  PubMed  Google Scholar 

  36. Dickens A, Utley-Smith Q, Stott G, Relf M. Evaluation of communication techniques used by HIV specialty providers caring for patients with low health literacy in an outpatient HIV clinical setting. J Nurs Educ Pract. 2013;3(7):114.

    Google Scholar 

  37. Hertzog MA. Considerations in determining sample size for pilot studies. Res Nurs Health. 2008;31(2):180–91.

    Article  PubMed  Google Scholar 

  38. Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Pract. 2004;10(2):307–12.

    Article  PubMed  Google Scholar 

  39. Browne RH. On the use of a pilot sample for sample size determination. Stat Med. 1995;14(17):1933–40.

    Article  CAS  PubMed  Google Scholar 

  40. Crutzen R, Viechtbauer W, Spigt M, Kotz D. Differential attrition in health behaviour change trials: a systematic review and meta-analysis. Psychol Health. 2015;30(1):122–34.

    Article  PubMed  Google Scholar 

  41. Brinkhof MW, Pujades-Rodriguez M, Egger M. Mortality of patients lost to follow-up in antiretroviral treatment programmes in resource-limited settings: systematic review and meta-analysis. PLoS ONE. 2009;4(6):e5790.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Bowman AS, Mehta M, Lerebours Nadal L, et al. Strengthening the HIV care continuum in the Dominican Republic: application of a triadic implementation framework to meet the UNAIDS 90–90-90 treatment goal. AIDS Patient Care STDS. 2017;31(10):407–12.

    Article  PubMed  Google Scholar 

  43. Harris P, Taylor R, Thielke R, et al. Research electronic data capture (REDCap): a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.

    Article  PubMed  Google Scholar 

  44. Cohen MS, Chen YQ, McCauley M, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011;365(6):493–505.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Toren KG, Buskin SE, Dombrowski JC, Cassels SL, Golden MR. Time from HIV diagnosis to viral load suppression: 2007–2013. Sex Transm Dis. 2016;43(1):34.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Nash D, Katyal M, Brinkhof MW, et al. Long-term immunologic response to antiretroviral therapy in low-income countries: collaborative analysis of prospective studies: The Antiretroviral Therapy in Lower Income Countries (ART-LINC) Collaboration of the International epidemiological Databases to Evaluate AIDS. AIDS. 2008;22(17):2291.

    Article  PubMed  Google Scholar 

  47. Lee S, Stucky B, Lee J, Rozier R, Bender D. Short assessment of health literacy-Spanish and English: a comparable test of health literacy for Spanish and English speakers. Health Serv Res. 2010;45(4):1105–20.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Stonbraker S, Schnall R, Larson E. Tools to measure health literacy among Spanish speakers: an integrative review of the literature. Patient Educ Couns. 2015;98(12):1513–23.

    Article  Google Scholar 

  49. Street RL, Makoul G, Arora NK, Epstein RM. How does communication heal? Pathways linking clinician–patient communication to health outcomes. Patient Educ Couns. 2009;74(3):295–301.

    Article  PubMed  Google Scholar 

  50. Glanz K, Rimer BK, Viswanath K. Health behavior and health education: theory, research, and practice. Hoboken: Wiley; 2008.

    Google Scholar 

  51. Street RL. How clinician–patient communication contributes to health improvement: modeling pathways from talk to outcome. Patient Educ Couns. 2013;92(3):286–91.

    Article  PubMed  Google Scholar 

  52. Bakken S, Holzemer WL, Brown M-A, et al. Relationships between perception of engagement with health care provider and demographic characteristics, health status, and adherence to therapeutic regimen in persons with HIV/AIDS. AIDS Patient Care STDS. 2000;14(4):189–97.

    Article  CAS  PubMed  Google Scholar 

  53. Chen W-T, Wantland D, Reid P, et al. Engagement with health care providers affects self-efficacy, self-esteem, medication adherence and quality of life in people living with HIV. J AIDS Clin Res. 2013;4(11):256.

    PubMed  PubMed Central  Google Scholar 

  54. Ritter PL, Lorig K. The English and Spanish self-efficacy to manage chronic disease scale measures were validated using multiple studies. J Clin Epidemiol. 2014;67(11):1265–73.

    Article  PubMed  Google Scholar 

  55. ACTG Outcomes Committee. Overall Health Status Assessment: Outcomes Committee of the AIDS Clinical Trials Group. 1997. https://www.frontierscience.org/apps/cfmx/apps/common/QOLAdherenceForms/index.cfm?project=ACTG. Accessed May 2021.

  56. Wu AW, Hays RD, Kelly S, Malitz F, Bozzette SA. Applications of the Medical Outcomes Study health-related quality of life measures in HIV/AIDS. Qual Life Res. 1997;6(6):531–54.

    Article  CAS  PubMed  Google Scholar 

  57. Bozzette SA, Hays RD, Berry SH, Kanouse DE, Wu AW. Derivation and properties of a brief health status assessment instrument for use in HIV disease. J Acquir Immune Defic Syndr Hum Retrovirol. 1995;8(3):253–65.

    Article  CAS  PubMed  Google Scholar 

  58. Price JT, Vwalika B, Winston J, et al. HIV serostatus, viral load, and midtrimester cervical length in a Zambian prenatal cohort. Int J Gynecol Obstet. 2019;146(2):206–11.

    Article  Google Scholar 

  59. Weisstein EW. Bonferroni correction MathWorld—A Wolfram Web Resource. https://mathworld.wolfram.com/BonferroniCorrection.html. Accessed May 2021.

  60. Faust L, Yaya S. The effect of HIV educational interventions on HIV-related knowledge, condom use, and HIV incidence in sub-Saharan Africa: a systematic review and meta-analysis. BMC Public Health. 2018;18(1):1–14.

    Article  Google Scholar 

  61. Cooper V, Clatworthy J, Whetham J, Consortium E. mHealth interventions to support self-management in HIV: a systematic review. Open AIDS J. 2017;11:119–32.

    Article  PubMed  Google Scholar 

  62. Areri HA, Marshall A, Harvey G. Interventions to improve self-management of adults living with HIV on Antiretroviral Therapy: A systematic review. PLoS ONE. 2020;15(5):e0232709.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Millard T, Elliott J, Girdler S. Self-management education programs for people living with HIV/AIDS: a systematic review. AIDS Patient Care STDS. 2013;27(2):103–13.

    Article  PubMed  Google Scholar 

  64. da Costa TM, Barbosa BJP, Costa DAG, et al. Results of a randomized controlled trial to assess the effects of a mobile SMS-based intervention on treatment adherence in HIV/AIDS-infected Brazilian women and impressions and satisfaction with respect to incoming messages. Int J Med Inform. 2012;81(4):257–69.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Wantland DJ, Holzemer WL, Moezzi S, et al. A randomized controlled trial testing the efficacy of an HIV/AIDS symptom management manual. J Pain Symptom Manage. 2008;36(3):235–46.

    Article  PubMed  Google Scholar 

  66. Fonner VA, Armstrong KS, Kennedy CE, O’Reilly KR, Sweat MD. School based sex education and HIV prevention in low-and middle-income countries: a systematic review and meta-analysis. PLoS ONE. 2014;9(3):e89692.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Desrosiers A, Betancourt T, Kergoat Y, et al. A systematic review of sexual and reproductive health interventions for young people in humanitarian and lower-and-middle-income country settings. BMC Public Health. 2020;20:1–21.

    Article  Google Scholar 

  68. Ancker JS, Senathirajah Y, Kukafka R, Starren JB. Design features of graphs in health risk communication: a systematic review. J Am Med Inform Assoc. 2006;13(6):608–18.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Dolan JG, Iadarola S. Risk communication formats for low probability events: an exploratory study of patient preferences. BMC Med Inform Decis Mak. 2008;8(1):14.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Yang F. Data visualization for health and risk communication. In: O’Hair DH, O’Hair MJ, Hester EB, Geegan S, editors. The handbook of applied communication research. New York: Wiley; 2020. p. 213–32.

    Chapter  Google Scholar 

  71. Hakone A, Harrison L, Ottley A, et al. PROACT: iterative design of a patient-centered visualization for effective prostate cancer health risk communication. IEEE Trans Visual Comput Graphics. 2016;23(1):601–10.

    Article  Google Scholar 

  72. Zikmund-Fisher BJ, Witteman HO, Dickson M, et al. Blocks, ovals, or people? Icon type affects risk perceptions and recall of pictographs. Med Decis Making. 2014;34(4):443–53.

    Article  PubMed  Google Scholar 

  73. Garcia-Retamero R, Cokely ET. Designing visual aids that promote risk literacy: a systematic review of health research and evidence-based design heuristics. Hum Factors. 2017;59(4):582–627.

    Article  PubMed  Google Scholar 

  74. Lor M, Koleck TA, Bakken S. Information visualizations of symptom information for patients and providers: a systematic review. J Am Med Inform Assoc. 2019;26(2):162–71.

    Article  PubMed  Google Scholar 

  75. Arcia A, Suero-Tejeda N, Spiegel-Gotsch N, et al. Helping Hispanic family caregivers of persons with dementia “get the picture” about health status through tailored infographics. Gerontologist. 2019;59(5):e479–89.

    PubMed  PubMed Central  Google Scholar 

  76. Bantug ET, Coles T, Smith KC, et al. Graphical displays of patient-reported outcomes (PRO) for use in clinical practice: what makes a pro picture worth a thousand words? Patient Educ Couns. 2016;99(4):483–90.

    Article  PubMed  Google Scholar 

  77. Turchioe MR, Myers A, Isaac S, et al. A systematic review of patient-facing visualizations of personal health data. Appl Clin Inform. 2019;10(4):751–70.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Grossman LV, Feiner SK, Mitchell EG, Creber RMM. Leveraging patient-reported outcomes using data visualization. Appl Clin Inform. 2018;9(3):565.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Bakken S, Arcia A, Woollen J. Promoting Latino self-management through use of information visualizations: a case study in New York City. Inf Serv Use. 2019;39(1–2):51–8.

    Google Scholar 

  80. Gebreyohannes EA, Bhagavathula AS, Abegaz TM, et al. The effectiveness of pictogram intervention in the identification and reporting of adverse drug reactions in naïve HIV patients in ethiopia: a cross-sectional study. HIV AIDS. 2019;11:9–16.

    Google Scholar 

  81. Dowse R, Ramela T, Browne SH. An illustrated leaflet containing antiretroviral information targeted for low-literate readers: development and evaluation. Patient Educ Couns. 2011;85(3):508–15.

    Article  PubMed  Google Scholar 

  82. Dowse R, Barford K-L, Browne SH. Simple, illustrated medicines information improves ARV knowledge and patient self-efficacy in limited literacy South African HIV patients. AIDS Care. 2014;26(11):1400–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Wilby K, Marra CA, da Silva JH, et al. Randomized controlled trial evaluating pictogram augmentation of HIV medication information. Ann Pharmacother. 2011;45(11):1378–83.

    Article  PubMed  Google Scholar 

  84. Mansoor LE, Dowse R. Effect of pictograms on readability of patient information materials. Ann Pharmacother. 2003;37(7–8):1003–9.

    Article  PubMed  Google Scholar 

  85. Njabulo M, Shakila D, Kirsty B, Gimbler-Berglund I, Schlosser RW. A scoping review of the use of visual aids in health education materials for persons with low-literacy levels. Patient Educ. Couns. 2020;104(5):998–1017.

  86. Schubbe D, Scalia P, Yen RW, et al. Using pictures to convey health information: A systematic review and meta-analysis of the effects on patient and consumer health behaviors and outcomes. Patient Educ. Couns. 2020;103(10):1935–1960.

  87. Kalichman SC, Cherry C, Kalichman MO, et al. Randomized clinical trial of HIV treatment adherence counseling interventions for people living with HIV and limited health literacy. J Acquir Immune Defic Syndr. 2013;63(1):42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  88. Barros IM, Alcântara TS, Mesquita AR, et al. The use of pictograms in the health care: a literature review. Res Social Adm Pharm. 2014;10(5):704–19.

    Article  PubMed  Google Scholar 

  89. Teague S, Youssef GJ, Macdonald JA, et al. Retention strategies in longitudinal cohort studies: a systematic review and meta-analysis. BMC Med Res Methodol. 2018;18(1):151.

    Article  PubMed  PubMed Central  Google Scholar 

  90. Penn A, Azman H, Rajan J, et al. Supportive interventions for improving retention in antiretroviral therapy (ART) programs in people with HIV infection in resource‐limited settings. Cochrane Libr. 2014;(1):CD010917.

  91. Carriquiry G, Fink V, Koethe JR, et al. Mortality and loss to follow-up among HIV-infected persons on long-term antiretroviral therapy in Latin America and the Caribbean. J. Int. AIDS Soc. 2015;(18):20016.

  92. Nederhof A. Methods of coping with social desirability bias: A review. Eur J Soc Psychol. 1985;15(3):263–80.

    Article  Google Scholar 

  93. Latkin CA, Mai NVT, Ha TV, et al. Social desirability response bias and other factors that may influence self-reports of substance use and HIV risk behaviors: a qualitative study of drug users in Vietnam. J AIDS Educ Prev. 2016;28(5):417–25.

    Article  Google Scholar 

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Acknowledgements

The authors would like to cordially thank our participants as they made this study possible. We would also like to thank Ynaliza González, who worked with us as a research assistant throughout the study. Her strong committment to our study population and this research project was notable and a tremendous asset to our team.

Funding

The research reported in this publication and the first author were supported by the National Institute of Nursing Research of the National Institutes of Health under award number K99NR017829. The mentorship of RS was supported by the National Institute of Nursing Research of the National Institutes of Health under Award Number K24NR018621. The contributions of SB, TRC, and MG were supported by the Precision in Symptom Self-Management Center which is supported by the National Institute of Nursing Research of the National Institutes of Health under Award Number P30NR016587. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Correspondence to Samantha Stonbraker.

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This study was approved by the Columbia University Irving Medical Center Institutional Review Board (Protocol# AAAR9023) and by the Consejo Nacional de Bioética en Salud (CONABIOS), the ethical review board in the Dominican Republic (Protocol# 016-2018). The trial was registered on clinicaltrial.gov (#03616106).

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Stonbraker, S., Liu, J., Sanabria, G. et al. Clinician Use of HIV-Related Infographics During Clinic Visits in the Dominican Republic is Associated with Lower Viral Load and Other Improvements in Health Outcomes. AIDS Behav 25, 4061–4073 (2021). https://doi.org/10.1007/s10461-021-03331-8

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