Suubi+Adherence-Round 2: A study protocol to examine the longitudinal HIV treatment adherence among youth living with HIV transitioning into young adulthood in Southern Uganda

Fred M Ssewamala, Ozge Sensoy Bahar, Proscovia Nabunya, April D Thames, Torsten B Neilands, Christopher Damulira, Barbara Mukasa, Rachel Brathwaite, Claude Mellins, John Santelli, Derek Brown, Shenyang Guo, Phionah Namatovu, Joshua Kiyingi, Flavia Namuwonge, Mary M McKay, Fred M Ssewamala, Ozge Sensoy Bahar, Proscovia Nabunya, April D Thames, Torsten B Neilands, Christopher Damulira, Barbara Mukasa, Rachel Brathwaite, Claude Mellins, John Santelli, Derek Brown, Shenyang Guo, Phionah Namatovu, Joshua Kiyingi, Flavia Namuwonge, Mary M McKay

Abstract

Background: Youth living with HIV (YLHIV) in Sub-Saharan African (SSA) are less likely to adhere to antiretroviral therapy (ART) and other health-related regimens. As a consequence, YLHIV are not only at risk for health problems and mental health comorbidities, but are also at risk for cognitive deficits, including in areas of memory and executive functioning. The Suubi+Adherence study followed 702 adolescents (10-16 years of age) receiving bolstered standard of care and a family economic empowerment intervention comprising an incentivized youth financial savings account (YSA) augmented with financial literacy training (FLT) and peer mentorship. The study findings pointed to superior short-term viral suppression and positive adolescent health and mental health functioning among participants receiving the intervention. The original group of adolescents who received Suubi+Adherence are now transitioning into young adulthood. This paper presents a protocol for the follow-up phase titled Suubi+Adherence Round 2.

Methods: The original cohort in Suubi+Adherence will be tracked for an additional five years (2020-2025). Specifically, the long term follow-up will allow to: 1) ascertain the extent to which the short term outcomes identified in the first 6 years of the intervention are maintained as the same group transitions through young adulthood; and 2) address new scientific questions regarding ART adherence; HIV care engagement; protective health behaviors; and the potential of FEE to mitigate the development of HIV-associated neurocognitive disorders in YLHIV. Additionally, the team examines the potential mechanisms through which the observed long-term outcomes happen. Moreover, the Suubi+Adherence-Round 2 adds a qualitative component and extends the cost effectiveness component.

Discussion: Guided by asset and human development theories, Suubi+Adherence-R2 will build on the recently concluded Suubi+Adherence study to conduct one of the largest and longest running studies of YLHIV in SSA as they transition into young adulthood. The study will address new scientific questions regarding long-term ART adherence, HIV care engagement, protective health behaviors, and the potential of FEE to mitigate the development of HIV-associated neurocognitive disorders in YLHIV. The findings may inform efforts to improve HIV care among Uganda's YLHIV, with potential replicability in other low-resource countries.

Trial registration: ClinicalTrials.gov , ID: NCT01790373.

Keywords: HIV/AIDS; Uganda; Youth living with HIV; cohort; economic empowerment; sub-Saharan Africa.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Suubi+Adherence-R2 Conceptual Framework
Fig. 2
Fig. 2
Suubi+Adherence and Suubi+Adherence-R2 Follow-up Timeline

References

    1. UNAIDS . Fast-Tracking Combination Prevention. Geneva: Joint United Nations Programme on HIV/AIDS; 2015.
    1. UPHIA. Uganda population-based HIV impact assessment UPHIA 2016-2017. New York: Columbia University; 2018.
    1. Ssewamala FM, Byansi W, Bahar OS, Nabunya P, Neilands TB, Mellins C, et al. Suubi+Adherence study protocol: A family economic empowerment intervention addressing HIV treatment adherence for perinatally infected adolescents. Contemporary Clin Trials Communications. 2019;16:100463. doi: 10.1016/j.conctc.2019.100463.
    1. Damulira C, Mukasa MN, Byansi W, Nabunya P, Kivumbi A, Namatovu P, et al. Examining the relationship of social support and family cohesion on ART adherence among HIV-positive adolescents in southern Uganda: baseline findings. Vulnerable Child Youth Stud. 2019;14(2):181–190. doi: 10.1080/17450128.2019.1576960.
    1. Bermudez LG, Jennings L, Ssewamala FM, Nabunya P, Mellins C, McKay M. Equity in adherence to antiretroviral therapy among economically vulnerable adolescents living with HIV in Uganda. AIDS Care. 2016;28(sup2):83–91. doi: 10.1080/09540121.2016.1176681.
    1. Bermudez LG, Ssewamala FM, Neilands TB, Lu L, Jennings L, Nakigozi G, et al. Does economic strengthening improve viral suppression among adolescents living with HIV? Results from a cluster randomized trial in Uganda. AIDS Behav. 2018;22(11):3763–72.
    1. Ssewamala FM, Dvalishvili D, Mellins CA, Geng EH, Makumbi F, Neilands TB, et al. The long-term effects of a family based economic empowerment intervention (Suubi+Adherence) on suppression of HIV viral loads among adolescents living with HIV in southern Uganda: Findings from 5-year cluster randomized trial. PLoS One. 2020;15(2):e0228370. doi: 10.1371/journal.pone.0228370.
    1. Oesterle S. Institute of Medicine and National Research Council, Improving the health, safety, and well-being of young adults: Workshop summary. 2013. Pathways to young adulthood and preventive interventions targeting young adults; pp. 147–176.
    1. Arnett JJ, Žukauskienė R, Sugimura K. The new life stage of emerging adulthood at ages 18–29 years: Implications for mental health. Lancet Psychiatry. 2014;1(7):569–576. doi: 10.1016/S2215-0366(14)00080-7.
    1. Lee C-YS, Goldstein SE. Loneliness, stress, and social support in young adulthood: Does the source of support matter? J Youth Adolesc. 2016;45(3):568–580. doi: 10.1007/s10964-015-0395-9.
    1. Fergus S, Zimmerman MA. Adolescent resilience: A Framework for understanding healthy development in the face of risk. Annu Rev Public Health. 2005;26:399–419. doi: 10.1146/annurev.publhealth.26.021304.144357.
    1. McLoyd VC. Socioeconomic disadvantage and child development. Am Psychol. 1998;53(2):185–204. doi: 10.1037/0003-066X.53.2.185.
    1. MacDonell K, Naar-King S, Huszti H, Belzer M. Barriers to medication adherence in behaviorally and perinatally infected youth living with HIV. AIDS Behav. 2013;17(1):86–93. doi: 10.1007/s10461-012-0364-1.
    1. Nachega JB, Hislop M, Nguyen H, Dowdy DW, Chaisson RE, Regensberg L, et al. Antiretroviral therapy adherence, virologic and immunologic outcomes in adolescents compared with adults in southern Africa. J Acquir Immune Defic Syndr. 2009;51(1):65–71. doi: 10.1097/QAI.0b013e318199072e.
    1. Sherraden M. Stakeholding: Notes on a theory of welfare based on assets. Soc Serv Rev. 1990;64(4):580–601.
    1. Sherraden M. Assets and the poor: A new American welfare policy. New York: ME Sharpe; 1991. p. 344.
    1. Schulenberg J, Schoon I. The transition to adulthood across time and space: Overview of special section. Longitudinal and Life Course Stud. 2012;3(2):164.
    1. Shanahan MJ. Pathways to adulthood in changing societies: Variability and mechanisms in life course perspective. Annu Rev Sociol. 2000;26(1):667–692. doi: 10.1146/annurev.soc.26.1.667.
    1. Bangirana P, John CC, Idro R, Opoka RO, Byarugaba J, Jurek AM, et al. Socioeconomic predictors of cognition in Ugandan children: Implications for community interventions. PLoS One. 2009;4(11):e7898.
    1. Chernoff MC, Laughton B, Ratswana M, Familiar I, Fairlie L, Vhembo T, et al. Validity of neuropsychological testing in young African children affected by HIV. J Pediatr Infect Dis. 2018;13(3):185–201.
    1. UNAIDS. Global Report: UNAIDS report on the global AIDS epidemic 2010. Geneva, Switzerland: Joint United Nations Programme on HIV/AIDS; 2010.
    1. UNAIDS. Access to antiretroviral therapy in Africa status report on progress towards the 2015 targets. Geneva: Joint United Nations Programme on HIV/AIDS; 2018.
    1. UNAIDS. Global summary of the AIDS epidemic. Geneva, Switzerland: Joint United Nations Programme on HIV/AIDS; 2013.
    1. Arnett JJ, Tanner JL. Emerging adults in America: Coming of age in the 21st century. Washington, DC: American Psychological Association; 2006.
    1. Berzin SC, De Marco AC. Understanding the impact of poverty on critical events in emerging adulthood. Youth Soc. 2010;42(2):278–300. doi: 10.1177/0044118X09351909.
    1. Gant LM. Substance use, emerging adults, and HIV services in the third decade. J HIV AIDS Soc Serv. 2014;13(2):123–4.
    1. King KM, Nguyen HV, Kosterman R, Bailey JA, Hawkins JD. Co-occurrence of sexual risk behaviors and substance use across emerging adulthood: evidence for state-and trait-level associations. Addiction. 2012;107(7):1288–1296. doi: 10.1111/j.1360-0443.2012.03792.x.
    1. Fergus S, Zimmerman MA, Caldwell CH. Growth trajectories of sexual risk behavior in adolescence and young adulthood. Am J Public Health. 2007;97(6):1096–1101. doi: 10.2105/AJPH.2005.074609.
    1. UNAIDS. UNAIDS World AIDS Day Report 2011. Geneva: Joint United Nations Programme on HIV/AIDS; 2011.
    1. Government of Uganda. Kampala: UNGASS Country Progress Report Uganda; 2010.
    1. Mellins CA, Brackis-Cott E, Leu C-S, Elkington KS, Dolezal C, Wiznia A, et al. Rates and types of psychiatric disorders in perinatally human immunodeficiency virus-infected youth and seroreverters. J Child Psychol Psychiatry. 2009;50(9):1131–1138. doi: 10.1111/j.1469-7610.2009.02069.x.
    1. Mellins CA, Elkington KS, Bauermeister JA, Brackis-Cott E, Dolezal C, McKay M, et al. Sexual and drug use behavior in perinatally HIV− infected youth: Mental health and family influences. J Am Acad Child Adolesc Psychiatry. 2009;48(8):810–819. doi: 10.1097/CHI.0b013e3181a81346.
    1. Domek GJ. Social consequences of antiretroviral therapy: Preparing for the unexpected futures of HIV-positive children. Lancet. 2006;367(9519):1367–9
    1. Wood D, Crapnell T, Lau L, Bennett A, Lotstein D, Ferris M, et al. Emerging Adulthood as a Critical Stage in the Life Course. In: Halfon N, Forrest C, Lerner R, Faustman E, editors. Handbook of Life Course Health Development. Cham: Springer; 2018.
    1. Nelson LJ, Barry CM. Distinguishing Features of Emerging Adulthood: The Role of Self-Classification as an Adult. J Adolesc Res. 2005;20(2):242–262. doi: 10.1177/0743558404273074.
    1. Macmillan R. Constructing adulthood: Agency and subjectivity in adolescence and adulthood. Advanc Life Course Res. 2007;11:3–29. doi: 10.1016/S1040-2608(06)11001-1.
    1. Claxton SE, van Dulmen MHM. Casual sexual relationships and experiences in emerging adulthood. Emerg Adulthood. 2013;1(2):138–50.
    1. Krieger H, Young CM, Anthenien AM, Neighbors C. The epidemiology of binge drinking among college-age individuals in the United States. Alcohol Res. 2018;39(1):23–30.
    1. Li K, Simons-Morton B, Gee B, Hingson R. Marijuana-, alcohol-, and drug-impaired driving among emerging adults: Changes from high school to one-year post-high school. J Safety Res. 2016;58:15–20. doi: 10.1016/j.jsr.2016.05.003.
    1. Patel V, Flisher AJ, Hetrick S, McGorry P. Mental health of young people: A global public-health challenge. Lancet. 2007;369(9569):1302–13.
    1. Phillips N, Amos T, Kuo C, Hoare J, Ipser J, Thomas KG, et al. HIV-associated cognitive impairment in perinatally infected children: A meta-analysis. Pediatrics. 2016;138(5):e20160893.
    1. Biadgilign S, Deribew A, Amberbir A, Deribe K. Barriers and facilitators to antiretroviral medication adherence among HIV-infected paediatric patients in Ethiopia: A qualitative study. SAHARA J. 2009;6(4):148–154. doi: 10.1080/17290376.2009.9724943.
    1. Polisset J, Ametonou F, Arrive E, Aho A, Perez F. Correlates of adherence to antiretroviral therapy in HIV-infected children in Lomé, Togo, West Africa. AIDS Behav. 2009;13(1):23–32.
    1. Mukherjee JS, Ivers L, Leandre F, Farmer P, Behforouz H. Antiretroviral therapy in resource-poor settings. Decreasing barriers to access and promoting adherence. J Acquir Immune Defic Syndr. 2006;43(Suppl 1):S123–S126. doi: 10.1097/01.qai.0000248348.25630.74.
    1. Emenyonu N, Muyindike W, Haayarimana J, Pops-Eleches C, Thirmurthy N, Ragland K. Cash transfers to cover clinic transportation costs improve adherence and retention in care in a HIV treatment program in rural Uganda. Boston, MA: Conference on Retroviruses and Opportunistic Infections; 2012.
    1. Weiser S, Wolfe W, Bangsberg D, Thior I, Gilbert P, Makhema J, et al. Barriers to antiretroviral adherence for patients living with HIV infection and AIDS in Botswana. J Acquir Immune Defic Syndr. 2003;34(3):281–288. doi: 10.1097/00126334-200311010-00004.
    1. Gusdal AK, Obua C, Andualem T, Wahlström R, Tomson G, Peterson S, et al. Voices on adherence to ART in Ethiopia and Uganda: A matter of choice or simply not an option? AIDS Care. 2009;21(11):1381–7.
    1. Tuller DM, Bangsberg DR, Senkungu J, Ware NC, Emenyonu N, Weiser SD. Transportation costs impede sustained adherence and access to HAART in a clinic population in southwestern Uganda: a qualitative study. AIDS Behav. 2010;14(4):778–784. doi: 10.1007/s10461-009-9533-2.
    1. Hardon AP, Akurut D, Comoro C, Ekezie C, Irunde HF, Gerrits T, et al. Hunger, waiting time and transport costs: Time to confront challenges to ART adherence in Africa. AIDS Care. 2007;19(5):658–65.
    1. Ramadhani HO, Thielman NM, Landman KZ, Ndosi EM, Gao F, Kirchherr JL, et al. Predictors of incomplete adherence, virologic failure, and antiviral drug resistance among HIV-infected adults receiving antiretroviral therapy in Tanzania. Clin Infect Dis. 2007;45(11):1492–1498. doi: 10.1086/522991.
    1. Au JT, Kayitenkore K, Shutes E, Karita E, Peters PJ, Tichacek A, et al. Access to adequate nutrition is a major potential obstacle to antiretroviral adherence among HIV-infected individuals in Rwanda. AIDS. 2006;20(16):2116–2118. doi: 10.1097/01.aids.0000247580.16073.1b.
    1. Cooper ML. Alcohol use and risky sexual behavior among college students and youth: Evaluating the evidence. J Stud Alcohol, supplement. 2002;14:101–17.
    1. Hall HI, Song R, Rhodes P, Prejean J, An Q, Lee LM, et al. Estimation of HIV incidence in the United States. JAMA. 2008;300(5):520–529. doi: 10.1001/jama.300.5.520.
    1. McLeod JD, Shanahan MJ. Trajectories of poverty and children's mental health. J Health Soc Behav. 1996:37(3):207–20.
    1. Stroud C, Walker LR, Davis M, Irwin CE., Jr Investing in the health and well-being of young adults. J Adolesc Health. 2015;56(2):127–129. doi: 10.1016/j.jadohealth.2014.11.012.
    1. Bonnie RJ, Stroud C, Breiner H, editors. Investing in the health and well-being of young adults. Washington DC: National Academies Press; 2015.
    1. Robin L, Dittus P, Whitaker D, Crosby R, Ethier K, Mezoff J, et al. Behavioral interventions to reduce incidence of HIV, STD, and pregnancy among adolescents: A decade in review. J Adolesc Health. 2004;34(1):3–26.
    1. Hussen SA, Chahroudi A, Boylan A, Camacho-Gonzalez AF, Hackett S, Chakraborty R. Transition of youth living with HIV from pediatric to adult-oriented healthcare: a review of the literature. Future Virol. 2015;9(10):921–929. doi: 10.2217/fvl.14.73.
    1. Campbell F, Biggs K, Aldiss SK, O'Neill PM, Clowes M, McDonagh J, et al. Transition of care for adolescents from paediatric services to adult health services. Cochrane Database Syst Rev. 2016;4:Cd009794.
    1. Judd A, Sohn AH, Collins IJ. Interventions to improve treatment, retention and survival outcomes for adolescents with perinatal HIV-1 transitioning to adult care: moving on up. Curr Opin HIV AIDS. 2016;11(5):477–486. doi: 10.1097/COH.0000000000000302.
    1. Woods SP, Moore DJ, Weber E, Grant I. Cognitive neuropsychology of HIV-associated neurocognitive disorders. Neuropsychol Rev. 2009;19(2):152–168. doi: 10.1007/s11065-009-9102-5.
    1. Schouten J, Cinque P, Gisslen M, Reiss P, Portegies P. HIV-1 infection and cognitive impairment in the cART era: a review. AIDS. 2011;25(5):561–575. doi: 10.1097/QAD.0b013e3283437f9a.
    1. Smith R, Chernoff M, Williams PL, Malee KM, Sirois PA, Kammerer B, et al. Impact of HIV severity on cognitive and adaptive functioning during childhood and adolescence. Pediatr Infect Dis J. 2012;31(6):592–598. doi: 10.1097/INF.0b013e318253844b.
    1. Sharer L, Gendelman HE. Neuropathological aspects of HIV-1 infection in children. In: Grant I, Everall IP, Lipton SA, Swindells S, editors. The neurology of AIDS Oxford: Oxford University Press. 2005. pp. 875–906.
    1. Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, Toga AW. Mapping cortical change across the human life span. Nat Neurosci. 2003;6(3):309–315. doi: 10.1038/nn1008.
    1. Donenberg GR. Youths and HIV/AIDS: Psychiatry's role in a changing epidemic. J Am Acad Child Adolesc Psychiatry. 2005;44(8):728–747. doi: 10.1097/01.chi.0000166381.68392.02.
    1. Mellins CA, Malee KM. Understanding the mental health of youth living with perinatal HIV infection: lessons learned and current challenges. J Int AIDS Soc. 2013;16(1):18593.
    1. Weiner L, Mellins CA. Psychosocial aspects of neurological impairment in children with AIDS. In: Gendelman HE, Everall IP, Fox HS, Grant I, Lipton S, Swindells S, editors. The neurology of AIDS. Oxford: Oxford University Press; 2012. p. 925–942.
    1. Mellins CA, Elkington KS, Leu CS, Santamaria EK, Dolezal C, Wiznia A, et al. Prevalence and change in psychiatric disorders among perinatally HIV-infected and HIV-exposed youth. AIDS Care. 2012;24(8):953–962. doi: 10.1080/09540121.2012.668174.
    1. Mutumba M, Elkington KS, Bauermeister JA, Bucek A, Dolezal C, Leu CS, et al. Changes in Substance Use Symptoms Across Adolescence in Youth Perinatally Infected with HIV. AIDS Behav. 2017;21(4):1117–1128. doi: 10.1007/s10461-016-1468-9.
    1. Elkington KS, Bauermeister JA, Brackis-Cott E, Dolezal C, Mellins CA. Substance use and sexual risk behaviors in perinatally human immunodeficiency virus-exposed youth: roles of caregivers, peers and HIV status. J Adolesc Health. 2009;45(2):133–41.
    1. Shobe M, Page-Adams D. Assets, future orientation, and well-being: Exploring and extending Sherraden's framework. J Sociol Soc Welfare. 2015;28(3):Article 7.
    1. Yadama GN, Sherraden M. Effects of assets on attitudes and behaviors: Advance test of a social policy proposal. Soc Work Res. 1996;20(1):3–11.
    1. Ssewamala FM, Alicea S, Bannon WM, Ismayilova L. A novel economic intervention to reduce HIV risks among school-going AIDS orphans in rural Uganda. J Adolesc Health. 2008;42(1):102–4.
    1. Schreiner M, Clancy M, Sherraden M. Saving performance in the American dream demonstration: A national demonstration of individual development accounts. St. Louis: Washington University in St. Louis Center for Social Development; 2002.
    1. McKay MM, Alicea S, Elwyn L, McClain ZR, Parker G, Small LA, et al. The development and implementation of theory-driven programs capable of addressing poverty-impacted children's health, mental health, and prevention needs: CHAMP and CHAMP+, evidence-informed, family-based interventions to address HIV risk and care. J Clin Child Adolesc Psychol. 2014;43(3):428–441. doi: 10.1080/15374416.2014.893519.
    1. Bangsberg DR, Perry S, Charlebois ED, Clark RA, Roberston M, Zolopa AR, et al. Non-adherence to highly active antiretroviral therapy predicts progression to AIDS. AIDS. 2001;15(9):1181–1183. doi: 10.1097/00002030-200106150-00015.
    1. Gill CJ, Hamer DH, Simon JL, Thea DM, Sabin LL. No room for complacency about adherence to antiretroviral therapy in sub-Saharan Africa. AIDS. 2005;19(12):1243–1249. doi: 10.1097/01.aids.0000180094.04652.3b.
    1. Hogg R, Yip B, Chan K, O'Shaughnessy M, Montaner J. Nonadherence to triple-combination ART is predictive of AIDS progression and death in HIV+ men and women. Durban South Africa: XIIIth International AIDS Conference; 2000.
    1. Hogg RS, Heath K, Bangsberg D, Yip B, Press N, O’Shaughnessy MV, et al. Intermittent use of triple-combination therapy is predictive of mortality at baseline and after 1 year of follow-up. AIDS. 2002;16(7):1051–1058. doi: 10.1097/00002030-200205030-00012.
    1. Wood E, Hogg RS, Yip B, Harrigan PR, O'Shaughnessy MV, Montaner JS. Effect of medication adherence on survival of HIV-infected adults who start highly active antiretroviral therapy when the CD4+ cell count is 0.200 to 0.350 x 10(9) cells/L. Ann Intern Med. 2003;139(10):810–816. doi: 10.7326/0003-4819-139-10-200311180-00008.
    1. Mannheimer S, Friedland G, Matts J, Child C, Chesney M. The consistency of adherence to antiretroviral therapy predicts biologic outcomes for human immunodeficiency virus-infected persons in clinical trials. Clin Infect Dis. 2002;34(8):1115–1121. doi: 10.1086/339074.
    1. Johnson MO, Catz SL, Remien RH, Rotheram-Borus MJ, Morin SF, Charlebois E, et al. Theory-guided, empirically supported avenues for intervention on HIV medication nonadherence: findings from the Healthy Living Project. AIDS Patient Care STDS. 2003;17(12):645–656. doi: 10.1089/108729103771928708.
    1. Vanhove GF, Schapiro JM, Winters MA, Merigan TC, Blaschke TF. Patient compliance and drug failure in protease inhibitor monotherapy. JAMA. 1996;276(24):1955–1956. doi: 10.1001/jama.1996.03540240033024.
    1. Blower SM, Aschenbach AN, Gershengorn HB, Kahn JO. Predicting the unpredictable: transmission of drug-resistant HIV. Nat Med. 2001;7(9):1016–1020. doi: 10.1038/nm0901-1016.
    1. Blower S, Bodine E, Kahn J, McFarland W. The antiretroviral rollout and drug-resistant HIV in Africa: insights from empirical data and theoretical models. AIDS. 2005;19(1):1–14. doi: 10.1097/00002030-200501030-00001.
    1. Cambiano V, Lampe FC, Rodger AJ, Smith CJ, Geretti AM, Lodwick RK, et al. Long-term trends in adherence to antiretroviral therapy from start of HAART. AIDS. 2010;24(8):1153–1162. doi: 10.1097/QAD.0b013e32833847af.
    1. Mills EJ, Singh S, Nelson BD, Nachega JB, AIDS The impact of conflict on HIV/AIDS in sub-Saharan Africa. Int J STD AIDS. 2006;17(11):713–717. doi: 10.1258/095646206778691077.
    1. Williams BG, Granich R, De Cock KM, Glaziou P, Sharma A, Dye C. Antiretroviral therapy for tuberculosis control in nine African countries. Proceedings Nat Acad Sci. 2010;107(45):19485–19489. doi: 10.1073/pnas.1005660107.
    1. Haberer JE, Kiwanuka J, Nansera D, Wilson IB, Bangsberg DR. Challenges in using mobile phones for collection of antiretroviral therapy adherence data in a resource-limited setting. AIDS Behav. 2010;14(6):1294–1301. doi: 10.1007/s10461-010-9720-1.
    1. Faber M, Witten C, Drimie S. Community-based agricultural interventions in the context of food and nutrition security in South Africa. South Afr J Clin Nutr. 2011;24(1):21–30. doi: 10.1080/16070658.2011.11734346.
    1. Haberer JE, Kahane J, Kigozi I, Emenyonu N, Hunt P, Martin J, et al. Real-time adherence monitoring for HIV antiretroviral therapy. AIDS Behav. 2010;14(6):1340–1346. doi: 10.1007/s10461-010-9799-4.
    1. Kunutsor S, Evans M, Thoulass J, Walley J, Katabira E, Newell JN, et al. Ascertaining baseline levels of antiretroviral therapy adherence in Uganda: a multimethod approach. J Acquir Immune Defic Syndr. 2010;55(2):221–224. doi: 10.1097/QAI.0b013e3181e255ec.
    1. Mahmud N, Rodriguez J, Nesbit J. A text message-based intervention to bridge the healthcare communication gap in the rural developing world. Technol Health Care. 2010;18(2):137–144. doi: 10.3233/THC-2010-0576.
    1. WHO Department of HIV/AIDS, UNAIDS, editor. The treatment 2.0 framework for action: catalysing the next phase of treatment, care and support. Geneva: World Health Organization; 2011.
    1. Han C-K, Ssewamala FM, Wang JS-H. Family economic empowerment and mental health among AIDS-affected children living in AIDS-impacted communities: evidence from a randomised evaluation in southwestern Uganda. J Epidemiol Community Health. 2013;67(3):225–230. doi: 10.1136/jech-2012-201601.
    1. Karimli L, Ssewamala FM. Do Savings Mediate Changes in Adolescents' Future Orientation and Health-Related Outcomes? Findings From Randomized Experiment in Uganda. J Adolesc Health. 2015;57(4):425–432. doi: 10.1016/j.jadohealth.2015.06.011.
    1. Ssewamala FM, Neilands TB, Waldfogel J, Ismayilova L. The Impact of a Comprehensive Microfinance Intervention on Depression Levels of AIDS-Orphaned Children in Uganda. J Adolesc Health. 2012;50(4):346–352. doi: 10.1016/j.jadohealth.2011.08.008.
    1. Curley J, Ssewamala F, Han C-K. Assets and Educational Outcomes: Child Development Accounts (CDAs) for Orphaned Children in Uganda. Children Youth Services review. 2010;32(11):1585–1590. doi: 10.1016/j.childyouth.2009.07.016.
    1. Ssewamala FM, Curley J. School Attendance of Orphaned Children in Sub-Saharan Africa: The role of family assets. Soc Development Issues: Alternative Approaches to Global Human Needs. 2006;28(2):84–105.
    1. Ssewamala FM, Keun HC, Neilands TB, Ismayilova L, Sperber E. The Effect of Economic Assets on Sexual Risk Taking Intentions among Orphaned Adolescents in Uganda. Am J Public Health. 2010;100(3):483. doi: 10.2105/AJPH.2008.158840.
    1. Jennings L, Ssewamala FM, Nabunya P. Effect of savings-led economic empowerment on HIV preventive practices among orphaned adolescents in rural Uganda: results from the Suubi-Maka randomized experiment. AIDS Care. 2015:28(3):273–82.
    1. Ssewamala FM, Ismayilova L, McKay M, Sperber E, Bannon W, Jr, Alicea S. Gender and the effects of an economic empowerment program on attitudes toward sexual risk-taking among AIDS-orphaned adolescent youth in Uganda. J Adolesc Health. 2010;46(4):372–378. doi: 10.1016/j.jadohealth.2009.08.010.
    1. Furstenberg FF. Becoming adults: Challenges in the transition to adult roles. Am J Orthopsychiatry. 2015;85(5S):S14. doi: 10.1037/ort0000107.
    1. Nichols SL, Montepiedra G, Farley JJ, Sirois PA, Malee K, Kammerer B, et al. Cognitive, academic, and behavioral correlates of medication adherence in children and adolescents with perinatally acquired HIV infection. J Dev Behav Pediatr. 2012;33(4):298–308. doi: 10.1097/DBP.0b013e31824bef47.
    1. Hinkin CH, Hardy DJ, Mason KI, Castellon SA, Durvasula RS, Lam MN, et al. Medication adherence in HIV-infected adults: effect of patient age, cognitive status, and substance abuse. AIDS. 2004;18(Suppl 1):S19–S25. doi: 10.1097/00002030-200418001-00004.
    1. Hinkin CH, Castellon SA, Durvasula RS, Hardy DJ, Lam MN, Mason KI, et al. Medication adherence among HIV+ adults: effects of cognitive dysfunction and regimen complexity. Neurology. 2002;59(12):1944–1950. doi: 10.1212/01.WNL.0000038347.48137.67.
    1. Garmezy N. Stress Reslient Children: The Search for Protective Factors. In: Stevenson J, editor. Recent Research in Developmental Psychology. 4. Oxford: Pergamon; 1985. pp. 213–233.
    1. Garmezy N. Reflections and commentarty on risk, resilience and development. In: Rea H, editor. Stress, risk and reslilience in children and adolescents: Processes, mechanisms and interventions. New York: Cambridge University Press; 1994.
    1. Ssewamala FM, Sperber E, Zimmerman JM, Karimli L. The potential of asset-based development strategies for poverty alleviation in Sub-Saharan Africa. Int J Soc Welfare. 2010;19(4):433–443. doi: 10.1111/j.1468-2397.2010.00738.x.
    1. Zhan M, Sherraden M. Assets, Expectations, and Children's Educational Achievement in Female-Headed Households. Soc Serv Rev. 2003;77(2):191–211. doi: 10.1086/373905.
    1. Ssewamala FM, Sherraden M. Integrating saving into microenterprise programs for the poor: Do institutions matter? Soc Serv Rev. 2004;78(3):404–428. doi: 10.1086/421919.
    1. Bandura A. Social Cognitive Theory: An Agentic Perspective. Annu Rev Psychol. 2001;52(1):1–26. doi: 10.1146/annurev.psych.52.1.1.
    1. Ajzen I. From intentions to actions: A theory of planned behavior. In: Backman JKJ, editor. Action control: From cognitions to behavior. Berlin: Springer Verlag; 1985.
    1. Ajzen I, Fischbein M. Understanding attitudes and predicting social behavior. Prentice Hall: Englewood Cliffs, NJ; 1980.
    1. Cochran SD, Mays VM. Applying Social Psychological Models to Predicting HIV-Related Sexual Risk Behaviors Among African Americans. J Black Psychol. 1993;19(2):142–154. doi: 10.1177/00957984930192005.
    1. Fischbein M. Attitude and prediction of behavior. In: Fischbein M, editor. Readings in attitude theory and measurement. New York: Wiley; 1967. p. 477–92.
    1. Fischbein M. & Ajzen. Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley; 1975.
    1. Jemmott JB, Jemmot LS, Hacker CL. Predicting intentions to use condoms among African-American adolescents: The theory of planned behavior as a model of HIV-associated behavior. Ethn Dis. 1992;2(4):371–380.
    1. Lam CB, Lefkowitz ES. Risky sexual behaviors in emerging adults: Longitudinal changes and within-person variations. Arch Sex Behav. 2013;42(4):523–532. doi: 10.1007/s10508-012-9959-x.
    1. Stein M, Wade J. Helping care leavers: Problems and strategic responses, London: Department of Health; 2000.
    1. Newman T, Blackburn S. Transitions in the Lives of Children and Young People: Resilience Factors. Interchange 78. Edinburgh: Scottish Executive; 2002.
    1. Ssewamala FM, Nabunya P, Mukasa NM, Ilic V, Nattabi J. Integrating a Mentorship Component in Programming for Care and Support of AIDS-Orphaned and Vulnerable Children: Lessons from the Suubi and Bridges Programs in Sub-Saharan Africa. Global Soc Welfare. 2014;1(1):9–24. doi: 10.1007/s40609-014-0008-7.
    1. Ssewamala FM, Karimli L, Han C-K, Ismayilova L. Social capital, savings, and educational performance of orphaned adolescents in Sub-Saharan Africa. Children Youth Services Rev. 2010;32(12):1704–1710. doi: 10.1016/j.childyouth.2010.07.013.
    1. Ssewamala F, Karimli L, Torsten N, Wang J-H, Han C-K, Ilic V, et al. Applying a family-level economic strengthening intervention to improve education and health-related outcomes of school-going AIDS-orphaned children: Lessons from a randomized experiment in Southern Uganda. Prevention Science. 2016;17(1):134–43.
    1. Kagotho N, Ssewamala FM. Correlates of depression among caregivers of children affected by HIV/AIDS in Uganda: Findings from the Suubi-Maka Family Study. AIDS Care. 2012;24(10):1226–1232. doi: 10.1080/09540121.2012.658754.
    1. Karimli L, Ssewamala FM, Neilands TB, McKay MM. Matched Child Savings Accounts in Low-Resource Communities: Who Saves? Glob Soc Welf. 2015;2(2):53–64. doi: 10.1007/s40609-015-0026-0.
    1. Karimli L, Ssewamala FM, Neilands TB. Poor Families Striving to Save in Matched Children’s Savings Accounts: Findings from a Randomized Experimental Design in Uganda. Soc Service Rev. 2014;88(4):658–694. doi: 10.1086/679256.
    1. ICHAD, SMART Africa Center. 3rd Annual Conference on Child Behavioral Health in Sub-Saharan Africa St. Louis. St. Louis: Washington University in St. Louis; 2018.
    1. ICHAD, SMART Africa Center. 4th Annual Conference on Child Behavioral Health in Sub-Saharan Africa. St. Louis: Washington University in St. Louis; 2019.
    1. Uganda AIDS Commission. The Uganda HIV and AIDS country progress report July 2015-June 2016. Kampala: Uganda AIDS Commision; 2016.
    1. Uganda AIDS. Commission. National HIV and AIDS strategic plan 2015/2016-2019/2020. Kampala: Uganda AIDS Commission; 2015.
    1. Government of Uganda, Uganda AIDS Commission. HIV and AIDS Uganda country progress report 2014. Kampala: Uganda AIDS Commission; 2014.
    1. Bhana A, Mellins CA, Petersen I, Alicea S, Myeza N, Holst H, et al. The VUKA family program: piloting a family-based psychosocial intervention to promote health and mental health among HIV infected early adolescents in South Africa. AIDS Care. 2014;26(1):1–11. doi: 10.1080/09540121.2013.806770.
    1. Tozan Y, Sun S, Capasso A, Shu-Huah Wang J, Neilands TB, Bahar OS, et al. Evaluation of a savings-led family-based economic empowerment intervention for AIDS-affected adolescents in Uganda: A four-year follow-up on efficacy and cost-effectiveness. PLoS One. 2019;14(12):e0226809. doi: 10.1371/journal.pone.0226809.
    1. Ssewamala FM, Ismayilova L. Integrating Children's Savings Accounts in the Care and Support of Orphaned Adolescents in Rural Uganda. Soc Serv Rev. 2009;83(3):453–472. doi: 10.1086/605941.
    1. Nabunya P, Ssewamala FM. The Effects of parental loss on the psychosocial wellbeing of AIDS-orphaned children living in AIDS-impacted communities: Does gender matter? Children Youth Services Rev. 2014;43:131–137. doi: 10.1016/j.childyouth.2014.05.011.
    1. Nabunya P, Ssewamala FM, Mukasa MN, Byansi W, Nattabi J. Peer mentorship program on HIV/AIDS knowledge, beliefs, and prevention attitudes among orphaned adolescents: an evidence based practice. Vulnerable Children Youth Stud. 2015;10(4):345–356.
    1. Wang JSH, Ssewamala FM, Neilands TB, Bermudez LG, Garfinkel I, Waldfogel J, et al. Effects of Financial Incentives on Saving Outcomes and Material Well-Being: Evidence From a Randomized Controlled Trial in Uganda. J Policy Analysis. 2018;37(3):602–629. doi: 10.1002/pam.22065.
    1. Ssewamala FM, Bermudez LG, Meyer S, Damulira C. Suubi+Adherence: Family-based economic empowerment for HIV positive youth in southern Uganda. New York: Columbia University International Center for Child Health and Asset Development; 2016.
    1. Ssewamala F, Mukasa M, Apollo K, Abel M, Byansi W, Nabunya P, et al. Suubi+Adherence Cartoon Intervention: Utilizing cartoons to address challenges and share experiences from HIV positive youth in Uganda. New York: Columbia University International Center for Child Health and Asset Development, Masaka Diocese, and Reach the Youth Uganda; 2015.
    1. Ssewamala FM, Bermudez LG, Neilands TB, Mellins CA, McKay MM, Garfinkel I, et al. Suubi4Her: a study protocol to examine the impact and cost associated with a combination intervention to prevent HIV risk behavior and improve mental health functioning among adolescent girls in Uganda. BMC Public Health. 2018;18(1):693. doi: 10.1186/s12889-018-5604-5.
    1. Ssewamala FM, Sensoy Bahar O, McKay MM, Hoagwood K, Huang KY, Pringle B. Strengthening mental health and research training in Sub-Saharan Africa (SMART Africa): Uganda study protocol. Trials. 2018;19(1):423. doi: 10.1186/s13063-018-2751-z.
    1. Ssewamala FM, Bahar OS, Tozan Y, Nabunya P, Mayo-Wilson LJ, Kiyingi J, et al. A combination intervention addressing sexual risk-taking behaviors among vulnerable women in Uganda: study protocol for a cluster randomized clinical trial. BMC Women's Health. 2019;19(1):1–21.
    1. Nabunya P, Namatovu P, Damulira C, Apollo K, Byansi W, Mukasa M, et al. Assessing the impact of an asset-based intervention on educational outcomes of orphaned children and adolescents: Findings from a randomised experiment in Uganda. Asia Pacific J Soc Work Development. 2019;29(1):59–69.
    1. Ssewamala FM, Wang JS-H, Neilands TB, Bermudez LG, Garfinkel I, Waldfogel J, et al. Cost-effectiveness of a savings-led economic empowerment intervention for AIDS-affected adolescents in Uganda: Implications for scale-up in low-resource communities. J Adolesc Health. 2018;62(1):S29–S36. doi: 10.1016/j.jadohealth.2017.09.026.
    1. Fitt W, Warren WL. Tennessee Self-Concept Scale (TSCS: 2) Manual. 2. Los Angeles, CA: Western Psychological Services; 1996.
    1. Levy SR, Lampman C, Handle A. Young adolescent attitudes towards sex and substance abuse: Implications for AIDS prevention. AIDS Educ Prev. 1993;5(4):340–351.
    1. Nabunya P, Ssewamala FM, Ilic V. Family economic strengthening and parenting stress among caregivers of AIDS-orphaned children: Results from a cluster randomized clinical trial in Uganda. Children Youth Services Rev. 2014;44(2014/09/01):417–21.
    1. Ismayilova L, Ssewamala FM, Karimli L. Family support as a mediator of change in sexual risk-taking attitudes among orphaned adolescents in rural Uganda. J Adolescent Health. 2012;50(3):228–235. doi: 10.1016/j.jadohealth.2011.06.008.
    1. Vaux A, Riedel S, Stewart D. Modes of social support: The social support behaviors (SS-B) scale. Am J Community Psychol. 1987;15(2):209–232. doi: 10.1007/BF00919279.
    1. Beck AT, Weissman A, Lester D, Trexler L. The measurement of pessimism: The hopelessness scale. J Consult Clin Psychol. 1974;42(6):861–5.
    1. Krauss BJ. Calm down, Mom, let’s talk about sex, drugs, and HIV: 10-13 year old girls prescription for HIV prevention. Conversations in their high HIV seroprevalence neighborhood. Washington, DC: HIV Infection in Women Conference; 1995.
    1. Gerard AB. Parent-child relationship inventory (PCRI). Los Angeles: Western Psychological Services; 1994.
    1. Rosenberg M. Rosenberg self-esteem scale (RSE). Acceptance Commitment Therapy Measures Package. 1965;61.
    1. Wingood GM, DiClemente RJ. The influence of psychosocial factors, alcohol, drug use on African-American women’s high-risk sexual behavior. Am J Prev Med. 1998;15(1):54–59. doi: 10.1016/S0749-3797(98)00027-0.
    1. Nanda G. Compendium of Gender Scales. Washington, DC: FHI 360/C-Change; 2011.
    1. Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52(1):30–41. doi: 10.1207/s15327752jpa5201_2.
    1. National Institute on Drug Abuse . Risk behavior assessment. 3. Rockville, MD: National Institute on Drug Abuse; 1993.
    1. McLellan AT, Alterman AI, Cacciola J, Metzger D, O'Brien CP. A new measure of substance abuse treatment. Initial studies of the treatment services review. J Nerv Ment Dis. 1992;180(2):101–110. doi: 10.1097/00005053-199202000-00007.
    1. Cacciola JS, Alterman AI, Lynch KG, Martin JM, Beauchamp ML, McLellan AT. Initial reliability and validity studies of the revised Treatment Services Review (TSR-6) Drug Alcohol Depend. 2008;92(1-3):37–47. doi: 10.1016/j.drugalcdep.2007.06.004.
    1. McLellan AT, Hagan TA, Levine M, Meyers K, Gould F, Bencivengo M, et al. Does clinical case management improve outpatient addiction treatment. Drug Alcohol Depend. 1999;55(1-2):91–103. doi: 10.1016/S0376-8716(98)00183-5.
    1. Hamilton CM, Strader LC, Pratt JG, Maiese D, Hendershot T, Kwok RK, et al. The PhenX Toolkit: get the most from your measures. Am J Epidemiol. 2011;174(3):253–260. doi: 10.1093/aje/kwr193.
    1. WHO ASSIST Working Group The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST): development, reliability and feasibility. Addiction. 2002;97(9):1183–1194. doi: 10.1046/j.1360-0443.2002.00185.x.
    1. Weintraub A, Mellins CA, Warne P, Dolezal C, Elkington K, Bucek A, et al. Patterns and Correlates of Serostatus Disclosure to Sexual Partners by Perinatally-Infected Adolescents and Young Adults. AIDS Behav. 2017;21(1):129–140. doi: 10.1007/s10461-016-1337-6.
    1. Fife BL, Wright ER. The dimensionality of stigma: a comparison of its impact on the self of persons with HIV/AIDS and cancer. J Health Soc Behav. 2000;41(1):50–67. doi: 10.2307/2676360.
    1. Dunn LM, Dunn DM, Pearson A. PPVT-4 : Peabody picture vocabulary test. Minneapolis, MN: Pearson Assessments; 2007.
    1. Smith A. Symbol Digit Modalities Test. CA: Western Psychological Services; 1973.
    1. D'Elia LF, Satz C, Uchiyama C, White T. Color trails test professional manual. Odessa: Psychological Assessment Resources; 1996.
    1. Maj M, D'Elia L, Satz P, Janssen R, Zaudig M, Uchiyama C, et al. Evaluation of two new neuropsychological tests designed to minimize cultural bias in the assessment of HIV-1 seropositive persons: A WHO study. Arch Clin Neuropsychol. 1993;8(2):123–35.
    1. Matthews CG, Klove H. Instruction manual for the adult neuropsychology test battery. Madison, WI: University of Wisconsin Medical School; 1964.
    1. Johnson MO, Neilands TB, Dilworth SE, Morin SF, Remien RH, Chesney MA. The role of self-efficacy in HIV treatment adherence: validation of the HIV Treatment Adherence Self-Efficacy Scale (HIV-ASES) J Behav Med. 2007;30(5):359–370. doi: 10.1007/s10865-007-9118-3.
    1. Ssewamala FM, Sherraden M. Saving for microenterprise in individual development accounts: Lessons from the American Dream Demonstration. CSD Report No. 04-18. St. Louis: Washington University, Center for Social Development; 2004.
    1. Sobell LC, Sobell MB. Timeline followback user's guide. Toronto: Addiction Research Foundation; 1996.
    1. Sobell LC, Sobell MB. Timeline Followback (TLFB) User's Manual. Toronto: Addiction Research Foundation; 1994.
    1. Bhana A, Petersen I, Mason A, Mahintsho Z, Bell C, McKay M. Children and youth at risk: adaptation and pilot study of the CHAMP (Amaqhawe) programme in South Africa. Afr J AIDS Res. 2004;3(1):33–41. doi: 10.2989/16085900409490316.
    1. Natamba BK, Achan J, Arbach A. Reliability and validity of the Center for Epidemiologic Studies-Depression Scale in screening for depression among HIV-infected and -uninfected pregnant women attending antenatal services in Northern Uganda: A cross-sectional study. BMC Psychiatry. 2014;14(1):303–10.
    1. Wilson IB, Lee Y, Michaud J, Fowler FJ, Rogers WH. Validation of a new three-item self-report measure for medication adherence. AIDS Behav. 2016;20(11):2700–2708. doi: 10.1007/s10461-016-1406-x.
    1. Kalichman SC, Amaral CM, Cherry C, Flanagan J, Pope H, Eaton L, et al. Monitoring medication adherence by unannounced pill counts conducted by telephone: reliability and criterion-related validity. HIV Clin Trials. 2008;9(5):298–308. doi: 10.1310/hct0905-298.
    1. Palinkas LA, Horwitz SM, Green CA, Wisdom JP, Duan N, Hoagwood K. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration Policy Mental Health Mental Health Services Res. 2015;42(5):533–544. doi: 10.1007/s10488-013-0528-y.
    1. Guest G, Bunce A, Johnson L. How many interviews are enough? An experiment with data saturation and variability. Field methods. 2006;18(1):59–82. doi: 10.1177/1525822X05279903.
    1. Morse JM. Determining Sample Size. Qual Health Res. 2000;10(1):3–5. doi: 10.1177/104973200129118183.
    1. Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods. 2002;7(2):147–177. doi: 10.1037/1082-989X.7.2.147.
    1. Little RJ, Rubin DB. Statistical analysis with missing data. Hoboken: Wiley; 2019.
    1. Collins LM, Schafer JL, Kam C-M. A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychol Methods. 2001;6(4):330–351. doi: 10.1037/1082-989X.6.4.330.
    1. Graham JW. Adding Missing-Data-Relevant Variables to FIML-Based Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal. 2003;10(1):80–100. doi: 10.1207/S15328007SEM1001_4.
    1. Carpenter JR, Kenward MG, White IR. Sensitivity analysis after multiple imputation under missing at random: a weighting approach. Stat Methods Med Res. 2007;16(3):259–275. doi: 10.1177/0962280206075303.
    1. Hedeker DGRD. Application of random-effects pattern-mixture models for missing data in longitudinal studies. Psychol Methods. 1997;2:64–78. doi: 10.1037/1082-989X.2.1.64.
    1. SAS Institute . BASE SAS 9.4 Procedures Guide. Cary, NC: SAS Institute, Inc; 2013.
    1. Muthén LK, Muthén BO. Mplus user's guide. Los Angeles, CA: Author. 1998.
    1. Rodriguez G, Goldman N. An Assessment of Estimation Procedures for Miltilevel Models with Binary Responses. J Royal Stat Soc Series-a Stat Soc. 1995;158:73–89. doi: 10.2307/2983404.
    1. Fitzmaurice GM, Laird NM, Ware JH. Applied longitudinal analysis. Hoboken, NJ: Wiley; 2004.
    1. Cook DR, Weisberg S. Residuals and influence in regression. New York: Chapman and Hall; 1982.
    1. Fox J. Regression diagnostics: An introduction. Quantitative applications in social sciences. Newbury Park: Sage Publications; 1991.
    1. Valeri L, VanderWeele TJ. Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychol Methods. 2013;18(2):137–150. doi: 10.1037/a0031034.
    1. Muthén BO. Applications of Causally Defined Direct and Indirect Effects in Mediation Analysis using SEM in Mplus. Manuscript submitted for publication; 2011.
    1. Shiyko MP, Burkhalter J, Li R, Park BJ. Modeling nonlinear time-dependent treatment effects: An application of the generalized time-varying effect model (TVEM) J Consult Clin Psychol. 2014;82(5):760. doi: 10.1037/a0035267.
    1. Shiyko MP, Lanza ST, Tan X, Li R, Shiffman S. Using the time-varying effect model (TVEM) to examine dynamic associations between negative affect and self confidence on smoking urges: Differences between successful quitters and relapsers. Prevention Sci. 2012;13(3):288–299. doi: 10.1007/s11121-011-0264-z.
    1. Hintze J. NCSS PASS 19. 16 edition ed. Kaysville: NCSS Statistical Software; 2019.
    1. Crosby R, Rothenberg R. In STI interventions, size matters. Sex Transm Infect. 2004;80(2):82–85. doi: 10.1136/sti.2003.007625.
    1. Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.
    1. Strauss A, Corbin J. Basics of qualitative research: Techniques and procedures for developing grounded theory, 2nd ed. Thousand Oaks: Sage Publications; 1998.
    1. Miles MB, Huberman AM, Huberman MA, Huberman M. Qualitative data analysis: An expanded sourcebook. Thousand Oaks: Sage Publications; 1994.
    1. Padgett DK. Qualitative methods in social work research. Thousand Oaks: Sage Publications; 2016.
    1. Glaser BG. The Constant Comparative Method of Qualitative Analysis. Soc Probl. 1965;12(4):436–445. doi: 10.2307/798843.
    1. Charmaz K. Grounded theory: Objectivist and constructivist methods. In: Denzin NKL, Y. S, editor. Strategies for Qualitative Inquiry. Thousand Oaks, CA: Sage Publications; 2003. pp. 249–291.
    1. Willms DG, Best JA, Taylor DW, Gilbert JR, Wilson DMC, Lindsay EA, et al. A Systematic Approach for Using Qualitative Methods in Primary Prevention Research. Med Anthropol Q. 1990;4(4):391–409. doi: 10.1525/maq.1990.4.4.02a00020.
    1. Lincoln YS, Guba EE. Naturalistic inquiry. Newbury Park, CA: Sage Publications; 1985.
    1. Zarkin GA, Bala MV, Wood LL, Bennett CL, Simpson K, Dohn MN. Estimating the cost effectiveness of atovaquone versus intravenous pentamidine in the treatment of mild-to-moderate Pneumocystis carinii pneumonia. Pharmacoeconomics. 1996;9(6):525–534. doi: 10.2165/00019053-199609060-00007.
    1. Zarkin GA, Bala MV, Calingaert B, VanderLugt JT. The cost-effectiveness of ibutilide versus electrical cardioversion in the conversion of atrial fibrillation and flutter to normal rhythm. Am J Managed Care. 1997;3(9):1387–1394.
    1. Manning WG, Fryback DG, Weinstein MC. Reflecting uncertainty in cost-effectiveness analyses. In: JES MRG, Russell LB, Weinstein MC, editors. Cost-effectiveness in health and medicine. New York: Oxford University Press; 1996. p. 247–75.
    1. Evans D, Kremer M, Ngatia M. The impact of distributing school uniforms on children’s education in Kenya. World Bank, mimeo. 2008.
    1. Linden L, Banerjee A, Duflo E. Computer-assisted learning: Evidence from a randomized experiment. Poverty Action Lab Paper. 2003;5.
    1. Banerjee AV, Duflo E. The experimental approach to development economics. Annu Rev Econ. 2009;1(1):151–178. doi: 10.1146/annurev.economics.050708.143235.
    1. Banerjee A, Cole S, Duflo E, Linden L. Remedying education: Evidence from two randomized experiments in India. The Quarterly Journal of Economics. 2007;122(3):1235–64.
    1. Coady D. The application of social cost-benefit analysis to the evaluation of PROGRESA. Washington, DC: International Food Policy Research Institute; 2000.
    1. Schultz TP. School subsidies for the poor: evaluating the Mexican Progresa poverty program. J Development Econ. 2004;74(1):199–250. doi: 10.1016/j.jdeveco.2003.12.009.
    1. Miguel E, Kremer M. Worms. Identifying impacts on education and health in the presence of treatment externalities. Econometrica. 2004;72(1):159–217.
    1. Greene JC, Caracelli VJ, Graham WF. Toward a conceptual framework for mixed-method evaluation designs. Educ Evaluation Policy Analysis. 1989;11(3):255–274. doi: 10.3102/01623737011003255.
    1. Greene JC, Caracelli VJ. Advances in mixed-method evaluation: The challenges and benefits of integrating diverse paradigms. San Francisco: Jossey-Bass; 1997.
    1. Atwine B, Cantor-Graae E, Bajunirwe F. Psychological distress among AIDS orphans in rural Uganda. Soc Sci Med. 2005;61(3):555–564. doi: 10.1016/j.socscimed.2004.12.018.
    1. Chi P, Li X. Impact of parental HIV/AIDS on children’s psychological well-being: a systematic review of global literature. AIDS Behav. 2013;17(7):2554–2574. doi: 10.1007/s10461-012-0290-2.
    1. Cluver LD, Orkin M, Gardner F, Boyes ME. Persisting mental health problems among AIDS-orphaned children in South Africa. J Child Psychol Psychiatry. 2012;53(4):363–370. doi: 10.1111/j.1469-7610.2011.02459.x.
    1. Doku PN. Psychosocial adjustment of children affected by HIV/AIDS in Ghana. J Child Adolescent Mental health. 2010;22(1):25–34. doi: 10.2989/17280583.2010.493662.
    1. Onuoha FN, Munakata T, Serumaga-Zake PA, Nyonyintono RM, Bogere SM. Negative mental health factors in children orphaned by AIDS: natural mentoring as a palliative care. AIDS Behav. 2009;13(5):980. doi: 10.1007/s10461-008-9459-0.
    1. Kaggwa EB, Hindin MJ. The psychological effect of orphanhood in a matured HIV epidemic: An analysis of young people in Mukono, Uganda. Soc Sci Med. 2010;70(7):1002–1010. doi: 10.1016/j.socscimed.2009.12.002.
    1. National Institutes of Health (NIH) NIH HIV/AIDS Research Priorities and Guidelines for Determining AIDS Funding. 2015.
    1. World Health Organization. Children: Reducing mortality 2018 [Available from: ].
    1. UNAIDS. Global Report: UNAIDS Report on the Global AIDS Epidemic 2013. Geneva: Joint United Nations Programme on HIV/AIDS; 2013.
    1. Beguy D, Kabiru CW, Zulu EM, Ezeh AC. Timing and sequencing of events marking the transition to adulthood in two informal settlements in Nairobi. Kenya. J Urban Health. 2011;88(2):318–340. doi: 10.1007/s11524-011-9547-8.
    1. Bisiacchi PS, Suppiej A, Laverda A. Neuropsychological evaluation of neurologically asymptomatic HIV-infected children. Brain Cogn. 2000;43(1-3):49–52.
    1. Phillips SJ, Mbizvo MT. Empowering adolescent girls in Sub-Saharan Africa to prevent unintended pregnancy and HIV: A critical research gap. Int J Gynecol Obstetrics. 2016;132(1):1–3. doi: 10.1016/j.ijgo.2015.10.005.
    1. Johnson MO, Neilands TB, Koester KA, Wood T, Sauceda JA, Dilworth SE, et al. Detecting disengagement from HIV care before it is too late: Development and preliminary validation of a novel index of engagement in HIV care. J Acquir Immune Defic Syndr. 2019;81(2):145–52.

Source: PubMed

3
Předplatit