Retention in clinic versus retention in care during the first year of HIV care in Nairobi, Kenya: a prospective cohort study.

INTRODUCTION: When measuring the success of HIV programmes to retain patients in care, few studies distinguish between retention in clinic (individual returns to the same clinic) and retention in care (individual is active in care at initial site or elsewhere). The objectives of this study were to quantify retention in clinic versus retention in care and determine risk factors associated with attrition from care in low-income settings in Nairobi, Kenya. METHODS: Between April 2013 and June 2015, adults testing positive for HIV were recruited at two comprehensive care clinics in informal urban settlements. Participants were followed from the time of a positive HIV test for up to 14 months. Participants who did not return to the clinic for their 12-month appointment between 10 and 14 months after their baseline visit were traced by telephone or community outreach to determine whether they were still receiving HIV care. We used generalized linear regression to determine the association between clinical and socio-demographic factors and attrition from care at 12 months. RESULTS: Of the 1068 individuals screened for study participation, 775 individuals newly presenting to HIV care were included in this study. Between 10 and 14 months, 486 participants (62.7%, 95% confidence intervals [CI], 59.2% to 66.1%) returned to the clinic for their 12-month appointment (retained in clinic). After telephone tracing and community outreach, an additional 123 of 289 participants were found to be active in care at other HIV clinics (42.6%, 95% CI, 36.8% to 48.5%). Overall, 609 (78.6%, 95% CI, 75.7% to 81.5%) participants were retained in care at any HIV clinic at 12 months. Participants in higher baseline CD4 count categories were more likely to be retained than those whose baseline CD4 count was <200 cells/mm3 . CONCLUSIONS: Retention in clinic substantially underestimated retention in care 12 months after presenting to care in this high-prevalence and low-income urban setting. Improved systems to track patients between clinics are required to accurately estimate retention in care in resource-limited settings. Although the proportion of patients retained in care was greater than expected, interventions to improve retention in care are needed to meet global targets to end the AIDS epidemic.

Participation in a mobile health intervention trial to improve retention in HIV care: does gender matter?

Background To be consistent with the United Nations' sustainable development goals on gender equality, mobile health (mHealth) programmes should aim to use communications technology to promote the empowerment of women. We conducted a pre-trial analysis of data from the WelTel Retain study on retention in HIV care to assess gender-based differences in phone access, phone sharing and concerns about receiving text messages from a healthcare provider. Methods Between April 2013-June 2015, HIV-positive adults were screened for trial participation at two clinics in urban slums in Nairobi, Kenya. Proportions of men and women excluded from the trial due to phone-related criteria were compared using a chi-square test. Gender-based differences in phone sharing patterns and concerns among trial participants were similarly compared. Results Of 1068 individuals screened, there was no difference in the proportion of men ( n = 39/378, 10.3%) and women ( n = 71/690, 10.3%) excluded because of phone-related criteria ( p-value = 0.989). Among those who shared their phone, women ( n = 52/108, 48.1%) were more likely than men ( n = 6/60, 10.0%) to share with other non-household and household members ( p < 0.001). Few participants had concerns about receiving text messages from their healthcare provider; those with concerns were all women ( n = 6/700). Discussion In this study, men and women were equally able to participate in a trial of an mHealth intervention. Equitable access in these urban slums may indicate the 'gender digital divide' is narrowing in some settings; however, gender-specific phone sharing patterns and concerns regarding privacy must be fully considered in the development and scale-up of mHealth programmes.