Background Mobile health is gradually revolutionizing the way medical care is delivered worldwide. In Mozambique, a country with a high human immunodeficiency virus prevalence, where antiretroviral treatment coverage is 77% accompanied by a 67% of retention rate, the use of mobile health technology may boost the antiretroviral treatment, by delivering care beyond health facilities and reaching underrepresented groups. Leveraging new technologies is crucial to reach the 95–95-95 United Nations target by 2030. The design, development, implementation, and evaluation of a mobile health platform called Infomóvel were covered in this article. Its intended use involves collaboration with community health workers and aims to increase human immunodeficiency virus patient access, adherence, and retention to care. Methods Using the Design Science Research Methodology, Infomóvel was created, as well as this publication. The explanation of various actions includes everything from problem description to observational study and goal-following for a solution, which results in the design and development of a platform proposal. Before the utility assessment of Infomóvel was conducted to make adjustments, a demonstration phase was conducted in one region of Mozambique. Results The initial subjects of the Infomóvel flowchart and physical process design were patients receiving antiretroviral medication who were enrolled in the patients tracking system and who had consented to home visits. The case manager examines the file before importing it into the Infomóvel database stored on a cloud server using the website www.commcarehq.org . The case manager application synchronises with the Infomóvel server database, enabling the import of latest data and access to the lists of new patients and community health workers. The community health worker uses his phone to access his application, which allows him to record the geographic coordinates and sort the list of patients by priority and type of visit. Conclusion Results from Infomóvel add to the growing body of data showing that mobile health techniques are beneficial for managing stable individuals with chronic conditions in Mozambique. These approaches can be scaled up and better utilised. However, additional studies should be conducted to quantify the resources needed to implement on a larger scale.
BACKGROUND:HIV-infected men have higher rates of delayed diagnosis, reduced antiretroviral treatment (ART) retention and mortality than women. We aimed to assess, by gender, the first two UNAIDS 90 targets in rural southern Mozambique.METHODS:This analysis was embedded in a larger prospective cohort enrolling individuals with new HIV diagnosis between May 2014-June 2015 from clinic and home-based testing (HBT). We assessed gender differences between steps of the HIV-cascade. Adjusted HIV-community prevalence was estimated using multiple imputation (MI).RESULTS:Among 11,773 adults randomized in HBT (7084 female and 4689 male), the response rate before HIV testing was 48.7% among eligible men and 62.0% among women (p<0.001). MI did not significantly modify all-age HIV-prevalence for men but did decrease prevalence estimates in women from 36.4%to 33.0%. Estimated proportion of HIV-infected individuals aware of their status was 75.9% for men and 88.9% for women. In individuals <25 years, we observed up to 22.2% disparity in awareness of serostatus between genders. Among individuals eligible for ART, similar proportions of men and women initiated treatment (81.2% and 85.9%, respectively). Fourfold more men than womenwere in WHO stage III/IV AIDS at first clinical visit. Once on ART, men had a twofold higher 18-month loss to follow-up rate than women.CONCLUSION:The contribution of missing HIV-serostatus data differentially impacted indicators of HIV prevalence and of achievement of UNAIDS targets by age and gender and men were missing long before the second 90. Increased efforts to characterize missing men and their needs will and their needs will allow us to urgently address the barriers to men accessing care and ensure men are not left behind in the UNAIDS 90-90-90 targets achievement.
IntroductionComplete follow-up of human immunodeficiency virus (HIV)-exposed infants (HEI) is crucial for a successful prevention of mother-to-child HIV transmission. This study analyzed the HEI follow-up and factors associated with loss to follow-up (LTFU) in southern Mozambique.MethodsThis retrospective cohort study used the data of HEI enrolled between June 2017 and June 2018, followed-up for 18 months. The outcomes were the proportion of infants with completed follow-up and a definitive diagnosis, and the presence of clinical events. Kaplan-Meier survival analysis was used to calculate the cumulative probability of LTFU and of clinical events. Factors associated with LTFU and clinical events were analyzed using Cox regression to calculate the hazard ratio (HR) and adjusted HR (AHR), with a 95% confidence interval (CI) and a significance cutoff of p<0.05.Results1413 infants were enrolled (49% males) at a median age of 32 days (IQR 31-41); the median follow-up time was 12 months (IQR 8.2-14.2); 1129 (80%) completed follow-up and had a definitive diagnosis, 58 (4%) were HIV-positive, 225 (16%) were LTFU; 266 (19%) presented a clinical event. Factors associated with LTFU were: age >2 months at entry (AHR, 1.58; 95% CI, 1.12-2.23), non-exclusive breastfeeding (AHR, 1.44; 95% CI, 1.01-2.06), poor cotrimoxazole adherence (AHR, 3.42; 95% CI, 1.59-7.35), and clinical events (AHR, 0.51; 95% CI, 0.34-0.77). Factors associated with clinical events were: malnutrition (AHR, 10.06; 95% CI, 5.92-17.09), non-exclusive breastfeeding (AHR, 1.98; 95% CI, 1.34-2.93), no nevirapine prophylaxis (AHR, 1.67; 95% CI, 1.18-2.36), and poor cotrimoxazole adherence (AHR, 2.62; 95% CI, 1.10-6.22).ConclusionThe high rate of HEI LTFU, associated with delayed linkage to postnatal care, poor prophylaxis adherence, non-exclusive breastfeeding, indicates the need to design a differentiated service delivery model that is tailored to the mothers' and infants' specific needs.
Patients lost to follow-up (LTFU) over the human immunodeficiency virus (HIV) cascade have poor clinical outcomes and contribute to onward HIV transmission. We assessed true care outcomes and factors associated with successful reengagement in patients LTFU in southern Mozambique. Newly diagnosed HIV-positive adults were consecutively recruited in the Manhica District. Patients LTFU within 12 months after HIV diagnosis were visited at home from June 2015 to July 2016 and interviewed for ascertainment of outcomes and reasons for LTFU. Factors associated with reengagement in care within 90 days after the home visit were analyzed by Cox proportional hazards model. Among 1122 newly HIV-diagnosed adults, 691 (61.6%) were identified as LTFU. Of those, 557 (80.6%) were approached at their homes and 321 (57.6%) found at home. Over 50% had died or migrated, 10% had been misclassified as LTFU, and 252 (78.5%) were interviewed. Following the visit, 79 (31.3%) reengaged in care. Having registered in care and a shorter time between LTFU and visit were associated with reengagement in multivariate analyses: adjusted hazards ratio of 3.54 [95% confidence interval (CI): 1.81-6.92;P < .001] and 0.93 (95% CI: 0.87-1.00;P = .045), respectively. The most frequently reported barriers were the lack of trust in the HIV-diagnosis, the perception of being in good health, and fear of being badly treated by health personnel and differed by type of LTFU. Estimates of LTFU in rural areas of sub-Saharan Africa are likely to be overestimated in the absence of active tracing strategies. Home visits are resource-intensive but useful strategies for reengagement for at least one-third of LTFU patients when applied in the context of differentiated care for those LTFU individuals who had already enrolled in HIV care at some point.
Background Determination of the human immunodeficiency virus (HIV) exposure status in infants and young children is required to guarantee timely diagnosis and access to appropriate care. HIV prevalence among Mozambican women aged 15-49 years is 15%, and vertical transmission rate is still high. The study investigated HIV exposure in children aged less than 2 years in Mozambique and the factors associated with unknown HIV exposure and with HIV exposure status in this population. Methods This was a cross-sectional analytical study using data from the 2015 Survey of Indicators on Immunization, Malaria and HIV/AIDS in Mozambique. A total of 2141 mothers (15-49 years) with children aged less than 2 years were interviewed. The dependent variables were "known HIV exposure status in a child" and "HIV-exposed child," and the explanatory variables were mother's social, demographic, economic, and reproductive health characteristics. We used binary and logistic regression, adjusted for complex sampling, to determine the association between variables. Results HIV exposure status was unknown in 27% of children (95% CI, 25.1-28.9). Mothers residing in the North (AOR, 4.41; 95% CI, 2.18-8.91), in rural area (AOR, 2.44; 95% CI, 1.33-4.35), with no education (AOR, 2.72; 95% CI, 1.38-5.36), and not having utilized any health services in the last pregnancy (AOR, 1.9; 95% CI, 1.42-2.55) were more likely to have a child with unknown HIV exposure status. Six percent of children were HIV-exposed (95% CI, 5-7). Children were less likely to be HIV-exposed if the head of the household was a male (AOR, 0.26; 95% CI, 0.08-0.86), if the mother was residing in the North (AOR, 0.41; 95% CI, 0.26-0.66) and did not utilize any health services in her last pregnancy (AOR, 0.52; 95% CI, 0.32-0.83). Conclusion The high proportion of children with unknown HIV exposure status and the associated socioeconomic factors suggests that HIV retesting of eligible women throughout breastfeeding should be intensified and identifies the urgent need to reach women without prior access to health care using a multisectoral approach.
INTRODUCTION:Awareness of HIV-infection goes beyond diagnosis, and encompasses understanding, acceptance, disclosure and initiation of the HIV-care. We aimed to characterize the HIV-positive population that underwent repeat HIV-testing without disclosing their serostatus and the impact on estimates of the first UNAIDS 90 target.METHODS:This analysis was nested in a prospective cohort established in southern Mozambique which conducted three HIV-testing modalities: voluntary counselling and testing (VCT), provider-initiated counselling and testing (PICT) and home-based testing (HBT). Participants were given the opportunity to self-report their status to lay counsellors and HIV-positive diagnoses were verified for previous enrolment in care. This study included 1955 individuals diagnosed with HIV through VCT/PICT and 11,746 participants of a HBT campaign. Those who did not report their serostatus prior to testing, and were found to have a previous HIV-diagnosis, were defined as non-disclosures. Venue-stratified descriptive analyses were performed and factors associated with non-disclosure were estimated through log-binomial regression.RESULTS:In the first round of 2500 adults randomized for HBT, 1725 were eligible for testing and 18.7% self-reported their HIV-positivity. Of those tested with a positive result, 38.9% were found to be non-disclosures. Similar prevalence of non-disclosures was found in clinical-testing modalities, 29.4% (95% CI 26.7 to 32.3) for PICT strategy and 13.0% (95% CI 10.9 to 15.3) for VCT. Prior history of missed visits (adjusted prevalence ratio (APR) 4.2, 95% CI 2.6 to 6.8), younger age (APR 2.5, 95% CI 1.4 to 4.4) and no prior history of treatment ((APR) 1.4, 95% CI 1.0 to 2.1) were significantly associated with non-disclosure as compared to patients who self-reported. When considering non-disclosures as people living with HIV (PLWHIV) aware of their HIV-status, the proportion of PLWHIV aware increased from 78.3% (95% CI 74.2 to 81.6) to 86.8% (95% CI 83.4 to 89.6).CONCLUSION:More than one-third of individuals testing HIV-positive did not disclose their previous positive HIV-diagnosis to counsellors. This proportion varied according to testing modality and age. In the absence of an efficient and non-anonymous tracking system for HIV-testers, repeat testing of non-disclosures leads to wasted resources and may distort programmatic indicators. Developing interventions that ensure appropriate psychosocial support are needed to encourage this population to disclose their status and optimize scarce resources.
Introduction: Context-specific improvements in the continuum of HIV care are needed to achieve the UNAIDS target of 90-90-90. This study aimed to assess the linkage to and retention in HIV care according to different testing modalities in rural southern Mozambique. Methods: Adults newly diagnosed with HIV from voluntary counseling and testing, provider-initiated counseling and testing, and home-based HIV testing services were prospectively enrolled between 2014 and 2015 at the Manhiça District. Patients were passively followed up through chart examination. Tracing was performed at 12 months to ascertain causes of loss to follow-up. Fine and Gray competing risk analysis was performed to determine factors associated with the each step of the cascade. Results: Overall linkage to care as defined by having a CD4 count at 3 months was 43.7% [95% confidence interval (CI): 40.8 to 46.6] and 25.2% of all participants initiated antiretroviral therapy. Factors associated with increased linkage in multivariable analysis included testing at voluntary counseling and testing, older age, having been previously tested for HIV, owning a cell phone, presenting with WHO clinical stages III/IV, self-reported illness-associated disability in the previous month, and later calendar month of participant recruitment. Ascertaining deaths and transfers allowed for adjustment of the rate of 12-month retention in treatment from 75.6% (95% CI: 70.2 to 80.5) to 84.2% (95% CI: 79.2 to 88.5). Conclusions: Home-based HIV testing reached a sociodemographically distinct population from that of clinic-based testing modalities but low linkage to care points to a need for facilitated linkage interventions. Distinguishing between true treatment defaulting and other causes of loss to follow-up can significantly change indicators of retention in care.