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The Longitudinal Association between Social Support on HIV Medication Adherence and Healthcare Utilization in the Women’s Interagency HIV Study

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Abstract

Social support is associated with HIV-related health outcomes. However, few studies have explored this longitudinally. We assessed psychometric properties of the Medical Outcomes Study’s Social Support Survey among women in the Women’s Interagency HIV Study, and explored the longitudinal effects of social support on HIV medication adherence (HIV-positive women) and healthcare utilization (HIV-positive and negative women). The 15 questions loaded into two factors, with Cronbach’s Alpha > 0.95. Over 3 years, perceived emotional support was associated with optimal medication adherence (OR 1.19, 95% CI 1.10–1.28) and healthcare utilization (OR 1.16, 95% CI 1.05–1.27), and tangible social support with adherence only (OR 1.18, 95% CI 1.08–1.27) when controlling for covariates, including core sociodemographic characteristics and depressive symptoms. Interventions to further understand the drivers of sub-types of social support as well as enhance sustained social support may assist with optimizing care of women with and at risk for HIV.

Resumen

El apoyo social está asociado con los resultados de salud relacionados con el VIH. Sin embargo, pocos estudios han explorado esto longitudinalmente. Evaluamos las propiedades psicométricas de la Encuesta de Apoyo Social del Estudio de Resultados Médicos entre las mujeres en el Estudio Interinstitucional del VIH de Mujeres, y exploramos los efectos longitudinales del apoyo social sobre la adherencia a los medicamentos contra el VIH (mujeres VIH positivas) y la utilización de la atención médica (mujeres VIH positivas y negativas). Las 15 preguntas se cargaron en dos factores, con el Alfa de Cronbach > 0.95. Durante tres años, el apoyo emocional percibido se asoció con una adherencia óptima a la medicación (Proporcion de probabilidades (OR) 1.19, Intervalo de confianza (CI) 95%: 1.10–1.28) y la utilización de la atención médica (OR 1.16, CI 95%: 1.05–1.27) y apoyo social tangible con adherencia solamente (OR 1,18, CI del 95%: 1,08–1,27) al controlar las covariables, incluidas las características sociodemográficas principales y los síntomas depresivos. Las intervenciones para comprender mejor los impulsores de los subtipos de apoyo social, así como para mejorar el apoyo social sostenido, pueden ayudar a optimizar la atención de las mujeres con y en riesgo de contraer el VIH.

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References

  1. House JS, Umberson D, Landis KR. Structures and processes of social support. Ann Rev Sociol. 1988;14:293–318.

    Article  Google Scholar 

  2. Reblin M, Uchino BN. Social and emotional support and its implication for health. Curr Opin Psychiatry. 2008;21(2):201–5.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ryan L, Sales R, Tilki M, Siara B. Social networks, social support and social capital: the experiences of recent polish migrants in London. Sociology. 2008;42(4):672–90.

    Article  Google Scholar 

  4. Berkman LF, Glass T, Brissette I, Seeman TE. From social integration to health: durkheim in the new millennium. Soc Sci Med. 2000;51(6):843–57.

    Article  CAS  PubMed  Google Scholar 

  5. Leal MC, Pereira AP, Lamarca GA, Vettore MV. The relationship between social capital, social support, and the adequate use of prenatal care. Cadernos de Saude Publica. 2011;27(Suppl 2):S237–53.

    Article  Google Scholar 

  6. Xu N, Zhao S, Xue H, Fu W, Liu L, Zhang T, et al. Associations of perceived social support and positive psychological resources with fatigue symptom in patients with rheumatoid arthritis. PLoS ONE. 2017;12(3):e0173293.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Been SK, van de Vijver DA, Nieuwkerk PT, Brito I, Stutterheim SE, Bos AE, et al. Risk factors for non-adherence to cART in immigrants with HIV living in the netherlands: results from the ROtterdam ADherence (ROAD) Project. PLoS ONE. 2016;11(10):e0162800.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Hempler NF, Joensen LE, Willaing I. Relationship between social network, social support and health behaviour in people with type 1 and type 2 diabetes: cross-sectional studies. BMC Public Health. 2016;16:198.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Logie CH, Ahmed U, Tharao W, Loutfy MR. A structural equation model of factors contributing to quality of life among African and Caribbean women living with HIV in Ontario, Canada. AIDS Res Hum Retroviruses. 2017;33(3):290–7.

    Article  PubMed  Google Scholar 

  10. Lifson AR, Workneh S, Hailemichael A, Demissie W, Slater L, Shenie T. Perceived social support among HIV patients newly enrolled in care in rural Ethiopia. AIDS Care. 2015;27(11):1382–6.

    Article  PubMed  Google Scholar 

  11. Cene CW, Akers AY, Lloyd SW, Albritton T, Powell Hammond W, Corbie-Smith G. Understanding social capital and HIV risk in rural African American communities. J Gen Intern Med. 2011;26(7):737–44.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Binagwaho A, Ratnayake N. The role of social capital in successful adherence to antiretroviral therapy in Africa. PLoS Med. 2009;6(1):e18.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Malecki CK, Demaray MK. Social support as a buffer in the relationship between socioeconomic status and academic performance. School Psychol Q. 2006;21(4):375–95.

    Article  Google Scholar 

  14. John-Henderson NA, Stellar JE, Mendoza-Denton R, Francis DD. Socioeconomic status and social support: social support reduces inflammatory reactivity for individuals whose early-life socioeconomic status was Low. Psychol Sci. 2015;26(10):1620–9.

    Article  PubMed  Google Scholar 

  15. Link BG, Phelan J, Phelan J. Social conditions as fundamental causes of disease. J Health Soc Behav. 1995. https://doi.org/10.1177/0022146510383498.

    Article  PubMed  Google Scholar 

  16. Edwards LV. Perceived social support and HIV/AIDS medication adherence among African American women. Qual Health Res. 2006;16(5):679–91.

    Article  PubMed  Google Scholar 

  17. Gonzalez JS, Penedo FJ, Antoni MH, Duran RE, McPherson-Baker S, Ironson G, et al. Social support, positive states of mind, and HIV treatment adherence in men and women living with HIV/AIDS. Health Psychol. 2004;23(4):413–8.

    Article  PubMed  Google Scholar 

  18. Belle D. Poverty and women’s mental health. Am Psychol. 1990;45(3):385–9.

    Article  Google Scholar 

  19. Raikes HA, Thompson RA. Efficacy and social support as predictors of parenting stress among families in poverty. Infant Mental Health J. 2005;26(3):177–90.

    Article  Google Scholar 

  20. Thompson RA. Preventing child maltreatment through social support. Thousand Oaks: Sage; 1995.

    Google Scholar 

  21. Lynch JW, Kaplan GA, Shema SJ. Cumulative impact of sustained economic hardship on physical, cognitive, psychological, and social functioning. N Engl J Med. 1997;337(26):1889–95.

    Article  CAS  PubMed  Google Scholar 

  22. Mukherjee JS, Barry D, Weatherford RD, Desai IK, Farmer PE. Community-Based ART programs: sustaining adherence and follow-up. Curr HIV/AIDS Rep. 2016;13(6):359–66.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Bhatti AB, Usman M, Kandi V. Current scenario of HIV/AIDS, treatment options, and major challenges with compliance to antiretroviral therapy. Cureus. 2016;8(3):e515.

    PubMed  PubMed Central  Google Scholar 

  24. Makuc DM, Freid VM, Kleinman JC. National trends in the use of preventive health care by women. Am J Public Health. 1989;79(1):21–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Calle EE, Flanders WD, Thun MJ, Martin LM. Demographic predictors of mammography and Pap smear screening in US women. Am J Public Health. 1993;83(1):53–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Mamon JA, Shediac MC, Crosby CB, Sanders B, Matanoski GM, Celentano DD. Inner-city women at risk for cervical cancer: behavioral and utilization factors related to inadequate screening. Prev Med. 1990;19(4):363–76.

    Article  CAS  PubMed  Google Scholar 

  27. Barkan SE, Melnick SL, Preston-Martin S, Weber K, Kalish LA, Miotti P, et al. The Women’s Interagency HIV Study. WIHS Collaborative Study Group. Epidemiology. 1998;9(2):117–25.

    CAS  Google Scholar 

  28. Turan B, Smith W, Cohen MH, Wilson TE, Adimora AA, Merenstein D, et al. Mechanisms for the Negative Effects of Internalized HIV-Related Stigma on Antiretroviral Therapy Adherence in Women: the Mediating Roles of Social Isolation and Depression. J Acquir Immune Defic Syndr. 2016;72(2):198–205.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Bacon MC, von Wyl V, Alden C, Sharp G, Robison E, Hessol N, et al. The Women’s Interagency HIV Study: an observational cohort brings clinical sciences to the bench. Clin Diagn Lab Immunol. 2005;12(9):1013–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32(6):705–14.

    Article  CAS  PubMed  Google Scholar 

  31. Kelso GA, Cohen MH, Weber KM, Dale SK, Cruise RC, Brody LR. Critical consciousness, racial and gender discrimination, and HIV disease markers in African American women with HIV. AIDS Behav. 2014;18(7):1237–46.

    Article  PubMed  PubMed Central  Google Scholar 

  32. US Department of Health and Human Services. A Guide to the Clinical Care of Women with HIV. 2013th ed. Rockville: Health Resources and Services; 2013.

    Google Scholar 

  33. Centers for Disease Control and Prevention. Preventive Care for Women Atlanta, GA [updated May 31, 2017.

  34. Tyer-Viola LA, Corless IB, Webel A, Reid P, Sullivan KM, Nichols P, et al. Predictors of medication adherence among HIV-positive women in North America. J Obstet Gynecol Neonatal Nurs. 2014;43(2):168–78.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Berkman LF, Blumenthal J, Burg M, Carney RM, Catellier D, Cowan MJ, et al. Effects of treating depression and low perceived social support on clinical events after myocardial infarction: the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) Randomized Trial. JAMA. 2003;289(23):3106–16.

    Article  PubMed  Google Scholar 

  36. Hays RD, Sherbourne CD, Mazel RM. User’s Manual for the Medical Outcomes Study (MOS) Core Measures of Health-Related Quality of Life. Santa Monica: RAND; 1995.

    Google Scholar 

  37. Merenstein D, Schneider MF, Cox C, Schwartz R, Weber K, Robison E, et al. Association of child care burden and household composition with adherence to highly active antiretroviral therapy in the Women’s Interagency HIV Study. AIDS Patient Care STDS. 2009;23(4):289–96.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Higa DH, Marks G, Crepaz N, Liau A, Lyles CM. Interventions to improve retention in HIV primary care: a systematic review of U.S. studies. Curr HIV/AIDS Rep. 2012;9(4):313-25.

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Acknowledgements

Data in this manuscript were collected by the Women’s Interagency HIV Study (WIHS). The contents of this publication are solely the responsibility of the authors and do not represent the official views of the National Institutes of Health (NIH). WIHS (Principal Investigators): UAB-MS WIHS (Mirjam-Colette Kempf and Deborah Konkle-Parker), U01-AI-103401; Atlanta WIHS (Ighovwerha Ofotokun and Gina Wingood), U01-AI-103408; Bronx WIHS (Kathryn Anastos and Anjali Sharma), U01-AI-035004; Brooklyn WIHS (Howard Minkoff and Deborah Gustafson), U01-AI-031834; Chicago WIHS (Mardge Cohen and Audrey French), U01-AI-034993; Metropolitan Washington WIHS (Seble Kassaye), U01-AI-034994; Miami WIHS (Margaret Fischl and Lisa Metsch), U01-AI-103397; UNC WIHS (Adaora Adimora), U01-AI-103390; Connie Wofsy Women’s HIV Study, Northern California (Ruth Greenblatt, Bradley Aouizerat, and Phyllis Tien), U01-AI-034989; WIHS Data Management and Analysis Center (Stephen Gange and Elizabeth Golub), U01-AI-042590; Southern California WIHS (Joel Milam), U01-HD-032632 (WIHS I–WIHS IV). The WIHS is funded primarily by the National Institute of Allergy and Infectious Diseases (NIAID), with additional co-funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), the National Cancer Institute (NCI), the National Institute on Drug Abuse (NIDA), and the National Institute on Mental Health (NIMH). Targeted supplemental funding for specific projects is also provided by the National Institute of Dental and Craniofacial Research (NIDCR), the National Institute on Alcohol Abuse and Alcoholism (NIAAA), the National Institute on Deafness and other Communication Disorders (NIDCD), and the NIH Office of Research on Women’s Health. WIHS data collection is also supported by UL1-TR000004 (UCSF CTSA), UL1-TR000454 (Atlanta CTSA), and P30-AI-050410 (UNC CFAR).

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Correspondence to Aruna Chandran.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The WIHS protocol was approved by the Institutional Review Board at each study site’s institution and by the WIHS executive committee.

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Informed consent was obtained from all individual participants included in the study. Individuals were compensated for their participation in the study.

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Chandran, A., Benning, L., Musci, R.J. et al. The Longitudinal Association between Social Support on HIV Medication Adherence and Healthcare Utilization in the Women’s Interagency HIV Study. AIDS Behav 23, 2014–2024 (2019). https://doi.org/10.1007/s10461-018-2308-x

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