A combination intervention strategy to improve linkage to and retention in HIV care following diagnosis in Mozambique: A cluster-randomized study

Batya Elul, Matthew R Lamb, Maria Lahuerta, Fatima Abacassamo, Laurence Ahoua, Stephanie A Kujawski, Maria Tomo, Ilesh Jani, Batya Elul, Matthew R Lamb, Maria Lahuerta, Fatima Abacassamo, Laurence Ahoua, Stephanie A Kujawski, Maria Tomo, Ilesh Jani

Abstract

Background: Concerning gaps in the HIV care continuum compromise individual and population health. We evaluated a combination intervention strategy (CIS) targeting prevalent barriers to timely linkage and sustained retention in HIV care in Mozambique.

Methods and findings: In this cluster-randomized trial, 10 primary health facilities in the city of Maputo and Inhambane Province were randomly assigned to provide the CIS or the standard of care (SOC). The CIS included point-of-care CD4 testing at the time of diagnosis, accelerated ART initiation, and short message service (SMS) health messages and appointment reminders. A pre-post intervention 2-sample design was nested within the CIS arm to assess the effectiveness of CIS+, an enhanced version of the CIS that additionally included conditional non-cash financial incentives for linkage and retention. The primary outcome was a combined outcome of linkage to care within 1 month and retention at 12 months after diagnosis. From April 22, 2013, to June 30, 2015, we enrolled 2,004 out of 5,327 adults ≥18 years of age diagnosed with HIV in the voluntary counseling and testing clinics of participating health facilities: 744 (37%) in the CIS group, 493 (25%) in the CIS+ group, and 767 (38%) in the SOC group. Fifty-seven percent of the CIS group achieved the primary outcome versus 35% in the SOC group (relative risk [RR]CIS vs SOC = 1.58, 95% CI 1.05-2.39). Eighty-nine percent of the CIS group linked to care on the day of diagnosis versus 16% of the SOC group (RRCIS vs SOC = 9.13, 95% CI 1.65-50.40). There was no significant benefit of adding financial incentives to the CIS in terms of the combined outcome (55% of the CIS+ group achieved the primary outcome, RRCIS+ vs CIS = 0.96, 95% CI 0.81-1.16). Key limitations include the use of existing medical records to assess outcomes, the inability to isolate the effect of each component of the CIS, non-concurrent enrollment of the CIS+ group, and exclusion of many patients newly diagnosed with HIV.

Conclusions: The CIS showed promise for making much needed gains in the HIV care continuum in our study, particularly in the critical first step of timely linkage to care following diagnosis.

Trial registration: ClinicalTrials.gov NCT01930084.

Conflict of interest statement

I have read the journal's policy and the authors of this manuscript have the following competing interests: FA and MT were employees of the Center for Collaboration in Health which was providing technical support to the study health facilities at the time of the study.

Figures

Fig 1. Flow chart for study participation.
Fig 1. Flow chart for study participation.
CIS, combination intervention strategy; SOC, standard of care; VCT, voluntary counseling and testing.
Fig 2. Relative risk of the CIS…
Fig 2. Relative risk of the CIS compared to the SOC on the primary outcome at the diagnosing health facility by patient characteristics.
a Fifteen patients with missing information were excluded from this estimate. A description of the variables examined and categories used are provided in the Methods section.

References

    1. Joint United Nations Programme on HIV/AIDS. Fact sheet July 2017. Geneva: Joint United Nations Programme on HIV/AIDS; 2017 [cited 2017 Oct 18]. Available from: .
    1. McGrath N, Glynn JR, Saul J, Kranzer K, Jahn A, Mwaungulu F, et al. What happens to ART-eligible patients who do not start ART? Dropout between screening and ART initiation: a cohort study in Karonga, Malawi. BMC Public Health. 2010;10:601 doi:
    1. Hoffman S, Charalambous S, Churchyard G, Martinson N, Chaisson R. Delayed ART initiation and risk of death. 18th Conference on Retroviruses and Opportunistic Infections; 2011 Feb 27–Mar 2; Boston, MA, US.
    1. Rosen S, Fox MP. Retention in HIV care between testing and treatment in sub-Saharan Africa: a systematic review. PLoS Med. 2011;8(7):e1001056 doi:
    1. Kranzer K, Govindasamy D, Ford N, Johnston V, Lawn SD. Quantifying and addressing losses along the continuum of care for people living with HIV infection in sub-Saharan Africa: a systematic review. J Int AIDS Soc. 2012;15(2):17383 doi:
    1. Mugglin C, Estill J, Wandeler G, Bender N, Egger M, Gsponer T, et al. Loss to programme between HIV diagnosis and initiation of antiretroviral therapy in sub-Saharan Africa: systematic review and meta-analysis. Trop Med Int Health. 2012;17(12):1509–20. doi:
    1. Plazy M, Orne-Gliemann J, Dabis F, Dray-Spira R. Retention in care prior to antiretroviral treatment eligibility in sub-Saharan Africa: a systematic review of the literature. BMJ Open. 2015;5(6):e006927 doi:
    1. Fox MP, Rosen S. Patient retention in antiretroviral therapy programs up to three years on treatment in sub-Saharan Africa, 2007–2009: systematic review. Trop Med Int Health. 2010;15(Suppl 1):1–15.
    1. Geng EH, Bangsberg DR, Musinguzi N, Emenyonu N, Bwana MB, Yiannoutsos CT, et al. Understanding reasons for and outcomes of patients lost to follow-up in antiretroviral therapy programs in Africa through a sampling-based approach. J Acquir Immune Defic Syndr. 2010;53(3):405–11. doi:
    1. Govindasamy D, Ford N, Kranzer K. Risk factors, barriers and facilitators for linkage to antiretroviral therapy care: a systematic review. AIDS. 2012;26(16):2059–67. doi:
    1. Rabkin M, editor. High patient retention rates in a multinational HIV/AIDS treatment program: the Columbia University mother-to-child-plus experience. 17th Conference on Retroviruses and Opportunistic Infections; 2010 Feb 16–19; San Francisco, CA, US.
    1. Yu JK, Chen SC, Wang KY, Chang CS, Makombe SD, Schouten EJ, et al. True outcomes for patients on antiretroviral therapy who are “lost to follow-up” in Malawi. Bull World Health Organ. 2007;85(7):550–4. doi:
    1. Lankowski AJ, Siedner MJ, Bangsberg DR, Tsai AC. Impact of geographic and transportation-related barriers on HIV outcomes in sub-Saharan Africa: a systematic review. AIDS Behav. 2014;18(7):1199–223. doi:
    1. Ochieng-Ooko V, Ochieng D, Sidle JE, Holdsworth M, Wools-Kaloustian K, Siika AM, et al. Influence of gender on loss to follow-up in a large HIV treatment programme in western Kenya. Bull World Health Organ. 2010;88(9):681–8. doi:
    1. Siedner MJ, Santorino D, Haberer JE, Bangsberg DR. Know your audience: predictors of success for a patient-centered texting app to augment linkage to HIV care in rural Uganda. J Med Internet Res. 2015;17(3):e78 doi:
    1. Jani IV, Sitoe NE, Alfai ER, Chongo PL, Quevedo JI, Rocha BM, et al. Effect of point-of-care CD4 cell count tests on retention of patients and rates of antiretroviral therapy initiation in primary health clinics: an observational cohort study. Lancet. 2011;378(9802):1572–9. doi:
    1. Donnell D, Baeten JM, Kiarie J, Thomas KK, Stevens W, Cohen CR, et al. Heterosexual HIV-1 transmission after initiation of antiretroviral therapy: a prospective cohort analysis. Lancet. 2010;375(9731):2092–8. doi:
    1. Anglemyer A, Rutherford GW, Horvath T, Baggaley RC, Egger M, Siegfried N. Antiretroviral therapy for prevention of HIV transmission in HIV-discordant couples. Cochrane Database Syst Rev. 2013;2013(4):CD009153.
    1. Geng EH, Peiris D, Kruk ME. Implementation science: relevance in the real world without sacrificing rigor. PLoS Med. 2017;14(4):e1002288 doi:
    1. Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50(3):217–26. doi:
    1. Sutton R, Lahuerta M, Abacassamo F, Ahoua L, Tomo M, Lamb MR, et al. Feasibility and acceptability of health communication interventions within a combination intervention strategy for improving linkage and retention in HIV care in Mozambique. J Acquir Immune Defic Syndr. 2017;74(Suppl 1):S29–36.
    1. Elul B, Lahuerta M, Abacassamo F, Lamb MR, Ahoua L, McNairy ML, et al. A combination strategy for enhancing linkage to and retention in HIV care among adults newly diagnosed with HIV in Mozambique: study protocol for a site-randomized implementation science study. BMC Infect Dis. 2014;14:549 doi:
    1. Instituto Nacional de Estatística. Estatísticas e indicadores sociais 2013–2014. Maputo (Mozambique): Instituto Nacional de Estatística; 2015.
    1. Instituto Nacional de Saúde, Instituto Nacional de Estatística, ICF. Moçambique: inquérito de indicadores de imunizaçao, malária e HIV/SIDA em Moçambique (IMASIDA) 2015—relatório de indicadores básicos de HIV. Rockville (Maryland): DHS Program; 2017 [cited 2017 Oct 18]. Available from: .
    1. Centro de Colaboração em Saúde. Semi-annual report for the Center for Disease Control and Prevention. Maputo (Mozambique): Centro de Colaboração em Saúde; 2016.
    1. Mozambique Ministry of Health. Annual report 2010, Inhambane Province. Maputo (Mozambique): Mozambique Ministry of Health; 2010.
    1. Direcção Nacional de Assistência Médica. Guia de tratamento antiretroviral e infecções oportunistas no adulto, adolescente, grávida e criança. Maputo (Mozambique): Mozambique Ministry of Health; 2014.
    1. Layer EH, Kennedy CE, Beckham SW, Mbwambo JK, Likindikoki S, Davis WW, et al. Multi-level factors affecting entry into and engagement in the HIV continuum of care in Iringa, Tanzania. PLoS ONE. 2014;9(8):e104961 doi:
    1. Earnshaw VA, Chaudoir SR. From conceptualizing to measuring HIV stigma: a review of HIV stigma mechanism measures. AIDS Behav. 2009;13(6):1160–77. doi:
    1. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32(6):959–76.
    1. Kessler RC, Price RH, Wortman CB. Social factors in psychopathology: stress, social support, and coping processes. Annu Rev Psychol. 1985;36:531–72. doi:
    1. Elul B, Basinga P, Nuwagaba-Biribonwoha H, Saito S, Horowitz D, Nash D, et al. High levels of adherence and viral suppression in a nationally representative sample of HIV-infected adults on antiretroviral therapy for 6, 12 and 18 months in Rwanda. PLoS ONE. 2013;8(1):e53586 doi:
    1. Donner A, Klar N. Design and analysis of cluster randomization trials in health research. London: Arnold; 2000.
    1. Diehr P, Martin DC, Koepsell T, Cheadle A. Breaking the matches in a paired t-test for community interventions when the number of pairs is small. Stat Med. 1995;14(13):1491–504.
    1. Morel JG, Bokossa MC, Neerchal NK. Small sample correction for the variance of GEE estimators. Biom J. 2003;45(4):395–409.
    1. Jobarteh K, Shiraishi RW, Malimane I, Samo Gudo P, Decroo T, Auld AF, et al. Community ART support groups in Mozambique: the potential of patients as partners in care. PLoS ONE. 2016;11(12):e0166444 doi:
    1. Snijders TAB, Bosker RJ. Multilevel analysis: an introduction to basic and advanced mulitlevel modeling. Thousand Oaks (California): Sage; 1999.
    1. Lamb MR, Fayorsey R, Nuwagaba-Biribonwoha H, Viola V, Mutabazi V, Alwar T, et al. High attrition before and after ART initiation among youth (15–24 years of age) enrolled in HIV care. AIDS. 2014;28(4):559–68. doi:
    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:
    1. Mall S, Middelkoop K, Mark D, Wood R, Bekker LG. Changing patterns in HIV/AIDS stigma and uptake of voluntary counselling and testing services: the results of two consecutive community surveys conducted in the Western Cape, South Africa. AIDS Care. 2013;25(2):194–201. doi:
    1. Meiberg AE, Bos AE, Onya HE, Schaalma HP. Fear of stigmatization as barrier to voluntary HIV counselling and testing in South Africa. East Afr J Public Health. 2008;5(2):49–54.
    1. Katz IT, Ryu AE, Onuegbu AG, Psaros C, Weiser SD, Bangsberg DR, et al. Impact of HIV-related stigma on treatment adherence: systematic review and meta-synthesis. J Int AIDS Soc. 2013;16(3 Suppl 2):18640.
    1. Solomon SS, Srikrishnan AK, Vasudevan CK, Anand S, Kumar MS, Balakrishnan P, et al. Voucher incentives improve linkage to and retention in care among HIV-infected drug users in Chennai, India. Clin Infect Dis. 2014;59(4):589–95. doi:
    1. Emenyonu N, Thirumurthy N, Muyindike W, Mwebesa B, Ragland K, Geng E, et al., editors. Cash transfers to cover clinic transportation costs improve retention in care in an HIV treatment program in rural Uganda. 17th Conference on Retroviruses and Opportunistic Infections; 2010 Feb 16–19; San Francisco, CA, US.
    1. El-Sadr WM, Branson BM, Beauchamp G, Hall HI, Torian LV, Zingman BS, et al. Effect of financial incentives on linkage to care and viral suppression: HPTN 065. Abstract number 29. Conference on Retroviruses and Opportunistic Infections; 2015 Feb 23–26; Seattle, Washington, US.
    1. Yotebieng M, Thirumurthy H, Moracco KE, Edmonds A, Tabala M, Kawende B, et al. Conditional cash transfers to increase retention in PMTCT care, antiretroviral adherence, and postpartum virological suppression: a randomized controlled trial. J Acquir Immune Defic Syndr. 2016;72(Suppl 2):S124–9.
    1. Metsch LR, Feaster DJ, Gooden L, Matheson T, Stitzer M, Das M, et al. Effect of patient navigation with or without financial incentives on viral suppression among hospitalized patients with HIV infection and substance use: a randomized clinical trial. JAMA. 2016;316(2):156–70. doi:
    1. Fiszbein A, Schady N, Ferreira FHG, Grosh M, Keleher N, Olinto P, et al. Conditional cash transfers: reducing present and future poverty. Washington (DC): World Bank; 2009.
    1. Ranganathan M, Lagarde M. Promoting healthy behaviours and improving health outcomes in low and middle income countries: a review of the impact of conditional cash transfer programmes. Prev Med. 2012;55(Suppl):S95–105.
    1. Rasella D, Aquino R, Santos CA, Paes-Sousa R, Barreto ML. Effect of a conditional cash transfer programme on childhood mortality: a nationwide analysis of Brazilian municipalities. Lancet. 2013;382(9886):57–64. doi:
    1. Siedner MJ, Santorino D, Lankowski AJ, Kanyesigye M, Bwana MB, Haberer JE, et al. A combination SMS and transportation reimbursement intervention to improve HIV care following abnormal CD4 test results in rural Uganda: a prospective observational cohort study. BMC Med. 2015;13:160 doi:
    1. McNairy M, Lamb M, Gachuhi A, Nuwagaba-Biribonwoha H, Burke S, Mazibuko S, et al. Link4Health: a cluster randomized-controlled trial evaluating the effectiveness of a combination strategy for linkage to and retention in HIV care in Swaziland. International AIDS Conference; 2016 Jul 18–22; Durban, South Africa.

Source: PubMed

3
Prenumerera