BMC Medicine | |
A combination SMS and transportation reimbursement intervention to improve HIV care following abnormal CD4 test results in rural Uganda: a prospective observational cohort study | |
David R. Bangsberg1  Jessica E. Haberer4  Mwebesa B. Bwana3  Michael Kanyesigye3  Alexander J. Lankowski2  Data Santorino3  Mark J. Siedner1  | |
[1] Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, 100 Cambridge Street, 15th Floor, Boston 02114, MA, USA;Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston 02114, MA, USA;Mbarara University of Science and Technology, Mbarara, Uganda;Department of Medicine, Massachusetts General Hospital, Harvard Medical School, and Harvard School of Public Health, Boston 02114, MA, USA | |
关键词: Antiretroviral therapy; Financial incentive; Short message service; Clinical trial; Sub-Saharan Africa; HIV/AIDS; | |
Others : 1218790 DOI : 10.1186/s12916-015-0397-1 |
|
received in 2015-03-18, accepted in 2015-06-12, 发布年份 2015 | |
【 摘 要 】
Background
Up to 50 % of HIV-infected persons in sub-Saharan Africa are lost from care between HIV diagnosis and antiretroviral therapy (ART) initiation. Structural barriers, including cost of transportation to clinic and poor communication systems, are major contributors.
Methods
We conducted a prospective, pragmatic, before-and-after clinical trial to evaluate a combination mobile health and transportation reimbursement intervention to improve care at a publicly operated HIV clinic in Uganda. Patients undergoing CD4 count testing were enrolled, and clinicians selected a result threshold that would prompt early return for ART initiation or further care. Participants enrolled in the pre-intervention period (January – August 2012) served as a control group. Participants in the intervention period (September 2012 – November 2013) were randomized to receive daily short message service (SMS) messages for up to seven days in one of three formats: 1) messages reporting an abnormal result directly, 2) personal identification number-protected messages reporting an abnormal result, or 3) messages reading “ABCDEFG” to confidentially convey an abnormal result. Participants returning within seven days of their first message received transportation reimbursements (about $6USD). Our primary outcomes of interest were time to return to clinic and time to ART initiation.
Results
There were 45 participants in the pre-intervention period and 138 participants in the intervention period (46, 49, and 43 in the direct, PIN, and coded groups, respectively) with low CD4 count results. Median time to clinic return was 33 days (IQR 11–49) in the pre-intervention period and 6 days (IQR 3–16) in the intervention period (P < 0.001); and median time to ART initiation was 47 days (IQR 11–75) versus 12 days (IQR 5–19), (P < 0.001). In multivariable models, participants in the intervention period had earlier return to clinic (AHR 2.32, 95 %CI 1.53 to 3.51) and earlier time to ART initiation (AHR 2.27, 95 %CI 1.38 to 3.72). All three randomized message formats improved time to return to clinic and time to ART initiation (P < 0.01 for all comparisons versus the pre-intervention period).
Conclusions
A combination of an SMS laboratory result communication system and transportation reimbursements significantly decreased time to clinic return and time to ART initiation after abnormal CD4 test results.
Trial registrations
Clinicaltrials.gov NCT01579214, approved 13 April 2012.
【 授权许可】
2015 Siedner et al.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
20150713022600571.pdf | 1699KB | download | |
Fig. 2. | 59KB | Image | download |
Fig. 1. | 44KB | Image | download |
【 图 表 】
Fig. 1.
Fig. 2.
【 参考文献 】
- [1]UNAIDS Report on the Global AIDS Epidemic. UNAIDS. 2012. http://www.unaids.org/sites/default/files/media_asset/20121120_UNAIDS_Global_Report_2012_with_annexes_en_1.pdf. Accessed 17 March 2013.
- [2]Braitstein P, Brinkhof MW, Dabis F, Schechter M, Boulle A, Miotti P et al.. Mortality of HIV-1-infected patients in the first year of antiretroviral therapy: comparison between low-income and high-income countries. Lancet. 2006; 367:817-24.
- [3]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: Article ID e5790
- [4]Lawn SD, Harries AD, Anglaret X, Myer L, Wood R. Early mortality among adults accessing antiretroviral treatment programmes in sub-Saharan Africa. AIDS. 2008; 22:1897-908.
- [5]Siedner MJ, Ng CK, Bassett IV, Katz IT, Bangsberg DR, Tsai AC. Trends in CD4 count at presentation to care and treatment initiation in sub-Saharan Africa, 2002–2013: a meta-analysis. Clin Infect Dis. 2015; 60:1120-7.
- [6]Marazzi MC, Liotta G, Germano P, Guidotti G, Altan AD, Ceffa S et al.. Excessive early mortality in the first year of treatment in HIV type 1-infected patients initiating antiretroviral therapy in resource-limited settings. AIDS Res Hum Retroviruses. 2008; 24:555-60.
- [7]Mills EJ, Bakanda C, Birungi J, Mwesigwa R, Chan K, Ford N et al.. Mortality by baseline CD4 cell count among HIV patients initiating antiretroviral therapy: evidence from a large cohort in Uganda. AIDS. 2011; 25:851-5.
- [8]Losina E, Bassett IV, Giddy J, Chetty S, Regan S, Walensky RP et al.. The “ART” of linkage: pre-treatment loss to care after HIV diagnosis at two PEPFAR sites in Durban, South Africa. PLoS One. 2010; 5: Article ID e9538
- [9]Rosen S, Fox MP. Retention in HIV care between testing and treatment in sub-Saharan Africa: a systematic review. PLoS Med. 2011; 8: Article ID e1001056
- [10]Honge BL, Jespersen S, Nordentoft PB, Medina C, da Silva D, da Silva ZJ, et al. Loss to follow-up occurs at all stages in the diagnostic and follow-up period among HIV-infected patients in Guinea-Bissau: a 7-year retrospective cohort study. BMJ Open. 2013;3. e003499.
- [11]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; 19:658-65.
- [12]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; 34:281-8.
- [13]Rosen S, Ketlhapile M, Sanne I, DeSilva MB. Cost to patients of obtaining treatment for HIV/AIDS in South Africa. S Afr Med J. 2007; 97:524-9.
- [14]Siedner MJ, Lankowski A, Tsai AC, Muzoora C, Martin JN, Hunt PW et al.. GPS-measured distance to clinic, but not self-reported transportation factors, are associated with missed HIV clinic visits in rural Uganda. AIDS. 2013; 27:1503-8.
- [15]Ware NC, Idoko J, Kaaya S, Biraro IA, Wyatt MA, Agbaji O et al.. Explaining adherence success in sub-Saharan Africa: an ethnographic study. PLoS Med. 2009; 6: Article ID e11
- [16]International Telecommunications Union. Measuring the information society. 2013. Geneva. Available at: https://www.itu.int/en/ITU-D/Statistics/Documents/publications/mis2013/MIS2013_without_Annex_4.pdf. Accessed 20 December 2014.
- [17]Aker JC, Mbiti IM. Mobile phones and economic development in Africa. J Econ Perspect. 2010; 24:207-32.
- [18]Lester RT, Ritvo P, Mills EJ, Kariri A, Karanja S, Chung MH et al.. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 2010; 376:1838-45.
- [19]Pop-Eleches C, Thirumurthy H, Habyarimana JP, Zivin JG, Goldstein MP, de Walque D et al.. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011; 25:825-34.
- [20]Siedner MJ, Haberer JE, Bwana MB, Ware NC, Bangsberg DR. High acceptability for cell phone text messages to improve health-related communication among HIV-infected patients in rural Uganda: a cross-sectional survey study. BMC Med Inform Decis Mak. 2012; 12:56. BioMed Central Full Text
- [21]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; 18:1199-223.
- [22]Caldwell A, Young A, Gomez-Marquez J, Olson KR. Global Health Technology 2.0. IEEE Pulse. 2011; 2:63-7.
- [23]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; 378:1572-9.
- [24]Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009; 42:377-81.
- [25]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; 17:1509-20.
- [26]Larson BA, Schnippel K, Brennan A, Long L, Xulu T, Maotoe T et al.. Same-day CD4 testing to improve uptake of HIV care and treatment in South Africa: point-of-care is not enough. AIDS Res Treat. 2013; 2013:941493.
- [27]Chang LW, Kagaayi J, Arem H, Nakigozi G, Ssempijja V, Serwadda D et al.. Impact of a mHealth intervention for peer health workers on AIDS care in rural Uganda: a mixed methods evaluation of a cluster-randomized trial. AIDS Behav. 2011; 15:1776-84.
- [28]Chang LW, Njie-Carr V, Kalenge S, Kelly JF, Bollinger RC, Alamo-Talisuna S. Perceptions and acceptability of mHealth interventions for improving patient care at a community-based HIV/AIDS clinic in Uganda: a mixed methods study. AIDS Care. 2013; 25:874-80.
- [29]Odigie VI, Yusufu LM, Dawotola DA, Ejagwulu F, Abur P, Mai A et al.. The mobile phone as a tool in improving cancer care in Nigeria. Psychooncology. 2012; 21:332-5.
- [30]Boyer S, Eboko F, Camara M, Abe C, Nguini ME, Koulla-Shiro S et al.. Scaling up access to antiretroviral treatment for HIV infection: the impact of decentralization of healthcare delivery in Cameroon. AIDS. 2010; 24:S5-15.
- [31]Bemelmans M, van den Akker T, Ford N, Philips M, Zachariah R, Harries A et al.. Providing universal access to antiretroviral therapy in Thyolo, Malawi through task shifting and decentralization of HIV/AIDS care. Trop Med Int Health. 2010; 15:1413-20.
- [32]Pfeiffer J, Montoya P, Baptista AJ, Karagianis M, Pugas Mde M, Micek M et al.. Integration of HIV/AIDS services into African primary health care: lessons learned for health system strengthening in Mozambique - a case study. J Int AIDS Soc. 2010; 13:3. BioMed Central Full Text
- [33]Siedner MJ, Lankowski A, Haberer JE, Kembabazi A, Emenyonu N, Tsai AC et al.. Rethinking the “pre” in pre-therapy counseling: no benefit of additional visits prior to therapy on adherence or viremia in Ugandans initiating ARVs. PLoS One. 2012; 7: Article ID e39894
- [34]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:S123-6.
- [35]McNairy ML, El-Sadr WM. Antiretroviral therapy for the prevention of HIV transmission: what will it take? Clin Infect Dis. 2014; 58:1003-11.
- [36]Tomlinson M, Rotheram-Borus MJ, Swartz L, Tsai AC. Scaling up mHealth: where is the evidence? PLoS Med. 2013; 10: Article ID e1001382
- [37]Seidenberg P, Nicholson S, Schaefer M, Semrau K, Bweupe M, Masese N et al.. Early infant diagnosis of HIV infection in Zambia through mobile phone texting of blood test results. Bull World Health Organ. 2012; 90:348-56.
- [38]Mbuagbaw L, Thabane L, Ongolo-Zogo P, Lester RT, Mills EJ, Smieja M et al.. The Cameroon Mobile Phone SMS (CAMPS) trial: a randomized trial of text messaging versus usual care for adherence to antiretroviral therapy. PLoS One. 2012; 7: Article ID e46909
- [39]Venkataramani AS, Thirumurthy H, Haberer JE, Boum Y, Siedner MJ, Kembabazi A et al.. CD4+ cell count at antiretroviral therapy initiation and economic restoration in rural Uganda. AIDS. 2014; 28:1221-6.
- [40]Thirumurthy H, Jafri A, Srinivas G, Arumugam V, Saravanan RM, Angappan SK et al.. Two-year impacts on employment and income among adults receiving antiretroviral therapy in Tamil Nadu, India: a cohort study. AIDS. 2011; 25:239-46.