AIDS Research and Therapy (Aug 2019)

Social barriers in accessing care by clients who returned to HIV care after transient loss to follow-up

  • Babatunde Adelekan,
  • Nifarta Andrew,
  • Iboro Nta,
  • Asabe Gomwalk,
  • Nicaise Ndembi,
  • Charles Mensah,
  • Patrick Dakum,
  • Ahmad Aliyu

DOI
https://doi.org/10.1186/s12981-019-0231-5
Journal volume & issue
Vol. 16, no. 1
pp. 1 – 7

Abstract

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Abstract Background People living with HIV (PLHIV) constantly need to address social issues such as the cost of accessing care, stigma, and lack of social support which impacts on their level of adherence to clinic visits or antiretroviral treatment leading to adverse health outcomes. This study examined the social barriers in accessing care by clients who returned to care after transient loss to follow-up. Methods This study was a cross-sectional survey of PLHIV from 99 US CDC PEPFAR-supported HIV clinics located in 10 of Nigeria’s 36 states and Federal Capital Territory, who were momentarily lost to follow-up but returned to care after tracking. Demographic and social factors at bivariate and multivariate level were analyzed to determine the predictors of difficulty in accessing HIV clinics. Results Of the 7483 clients tracked, 1386 (18.5%) were confirmed to be in care, 2846 (38.2%) were lost to follow-up (LTFU), 562 (7.5%) returned to care, 843 (11.2%) discontinued care, 827 (11.1%) transferred out to other facilities for care, 514 (6.8%) had died while 505 (6.7%) could not be reached by phone or located at their addresses. 438 out of the 562 (78%) returnee PLHIV gave consent and participated in the study. 216 out of the 438 (50%) clients who returned to care were transiently lost to follow-up because they had difficulty accessing their HIV clinic. Also, 126/438 (29%) of returnee PLHIV were previously lost to follow-up. Difficult access to a HIV clinic was significantly influenced by prior LTFU (OR 2.5 [95% CI 1.3–4.8], p = 0.008), history of being stigmatized (OR 2.1 [95% CI 1.1–3.8], p = 0.02), lack of social or financial support (OR 2.8 [95% CI 1.3–6.0], p = 0.01) and perceived in-adequate healthcare workers support (OR 3.8 [95% CI 1.2–11.2], p = 0.02). Age (p = 0.218) and gender (p = 0.771) were not significant determinants of difficult access to an HIV clinic. Conclusion Stigma, lack of support and prior loss to follow-up event are essential factors affecting retention in care. Social constructs such as home-based visits, community-based care services, transportation subsidies, and robust strong social systems should be built into HIV service delivery models to improve retention in care of people on HIV treatment. The authors advocate for further studies on how differentiated care models impact on retention of patients in care.

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