12 research outputs found

    Influence of evolving HIV treatment guidance on CD4 counts and viral load monitoring: A mixed-methods study in three African countries.

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    Little is known about how CD4 and viral load testing have evolved following implementation of universal test and treat (UTT) in African settings. We reviewed World Health Organization (WHO) guidance from 2013 to 2018, and compared it against national HIV policies in Malawi, Tanzania and South Africa. Three surveys rounds were conducted in 2013, 2016 and 2017-2018 in 33 health facilities across the three settings to assess implementation of national policies on the use of biological markers. Qualitative interviews were conducted with 26 HIV policymakers or programme managers, 21 providers and 66 people living with HIV to explore understandings and experiences of these tests. Various factors influenced adoption and implementation of WHO guidance, including historical policies on CD4 counts, governance issues, supply chain challenges and funding mechanisms. Facility-level practices relating to the use of these tests often diverged from national policies. Patients and providers valued both tests, but did not always understand their roles. In addition to continued support for scaling-up viral load testing, renewed focus should be placed on the ongoing value of point-of-care CD4 tests in the UTT era, including its role in assessing disease progression and informing clinical management of cases to reduce HIV-related mortality

    Cost variations in prevention of mother-to-child HIV transmission services integrated within maternal and child health services in rural Tanzania.

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    We estimated the costs of Option B+ for HIV-infected pregnant women in 12 facilities in Morogoro Region, Tanzania, from a provider perspective. Costs of prevention of mother-to-child (PMTCT) HIV services were measured over 12 months to September 2017 to estimate the average costs per HIV testing episode, per HIV-positive case diagnosed, per patient-year on antiretroviral therapy (ART), and per neonatal HIV care. A one-way sensitivity analysis was undertaken to understand how staffing levels and other core resource inputs affected costs. The total number of HIV testing episodes was 25,593 with 279 HIV cases identified yielding a 1.1% positivity rate. The average cost per testing episode was US5.49(rangeUS5.49 (range US2.13 to US13.93),andtheaveragecostperHIVcasedetectedwasUS13.93), and the average cost per HIV case detected was US503.29 (range US230.61toUS230.61 to US3330.38). The number of pregnant women initiated on ART was 278. The mean cost per patient-year on ART was US159.89(rangeUS159.89 (range US100.91 to US812.23).TheaveragecostofneonatalHIVcarewasUS812.23). The average cost of neonatal HIV care was US90.09 (range US41.53toUS41.53 to US180.26). PMTCT service costs varied widely across facilities due to variations in resource use, number of women testing, and HIV prevalence. The study provides further evidence against generalising cost estimates, and that budgeting and planning requires context specific cost information

    Implementation and experiences of integrated prevention of mother-to-child transmission services in Tanzania, Malawi and South Africa: A mixed methods study.

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    Although integration of HIV and maternal health services is recommended by the World Health Organization, evidence to guide implementation is limited. We describe facility-level implementation of policies for integrating HIV care within maternal health services and explore experiences of service users and providers in rural Tanzania (Ifakara), South Africa (uMkhanyakude) and Malawi (Karonga). Policy in all countries included HIV testing during antenatal care (ANC), same-day antiretroviral therapy (ART) initiation for HIV-positive pregnant women, and postpartum referral to ART clinics, between six weeks (Malawi, South Africa) and two years after delivery (Tanzania). All facilities offered HIV testing within ANC, most commonly during the first visit. Although most women were comfortable with HIV testing, some felt that opting out would lead to sub-standard services. Some facilities conducted group post-test counselling for HIV-negative women, raising concerns of unintended HIV status disclosure. ART initiation was offered on the same day, the same room as an HIV diagnosis in >90% of facilities. Women's worries around postpartum referral included having unknown providers, insufficient privacy and queues. Adoption and implementation of policies on integrated HIV and maternal health services varied across settings. Patients' experiences of these policies may influence uptake and retention in care

    Implications of HIV treatment policies on the health workforce in rural Malawi and Tanzania between 2013 and 2017: Evidence from the SHAPE-UTT study

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    Effective implementation of policies for expanding antiretroviral therapy (ART) requires a well-trained and adequately staffed workforce. Changes in national HIV workforce policies, health facility practices, and provider experiences were examined in rural Malawi and Tanzania between 2013 and 2017. In both countries, task-shifting and task-sharing policies were explicit by 2013. In facilities, the cadre mix of providers varied by site and changed over time, with a higher and growing proportion of lower cadre staff in the Malawi site. In Malawi, the introduction of lay counsellors was perceived to have eased the workload of other providers, but lay counsellors reported inadequate support. Both countries had guidance on the minimum numbers of personnel required to deliver HIV services. However, patient loads per provider increased in both settings for HIV tests and visits by ART patients and were not met with corresponding increases in provider capacity in either setting. Providers reported this as a challenge. Although increasing patient numbers bodes well for achieving universal antiretroviral therapy coverage, the quality of care may be undermined by increased workloads and insufficient provider training. Task-shifting strategies may help address workload concerns, but require careful monitoring, supervision and mentoring to ensure effective implementation

    Challenges with routine data sources for PMTCT programme monitoring in East Africa: insights from Tanzania

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    Routinely collected clinic data have the potential to provide much needed information on the uptake of services to prevent mother-to-child transmission (PMTCT) of HIV, and to measure HIV prevalence in pregnant women. This article describes the methodological challenges associated with using such data, based on the experiences of researchers and programme implementers in Tanzania and drawing from other examples from East Africa. PMTCT data are routinely collected in maternal and child health (MCH) clinics in East Africa using paper-based registers corresponding to distinct services within the PMTCT service continuum. This format has inherent limitations with respect to maintaining and accurately recording unique identifiers that can link patients across the different clinics (antenatal, delivery, child), and also poses challenges when compiling aggregate data. Recent improvements to recording systems include assigning unique identifiers to HIV-positive pregnant women in MCH clinics, although this should ideally be extended to all pregnant women, and recording mother and infant identifiers alongside each other in registers. The use of ‘health passports’, as in Malawi, which maintains the same antenatal clinic identifier over time, also holds promise. Routine data hold tremendous potential for clinic-level patient management, surveillance, and evaluating PMTCT/MCH programmes. Linking clinic data to community research datasets can also provide population-level estimates of coverage with PMTCT services, currently a problematic but vital statistic for monitoring programme performance and negotiating donor funding. Enhancements to indexing and recording of routine PMTCT/MCH data are needed if we are to capitalise on this rich data source

    Participant selection and flow during the trial.

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    <p>The waterfall diagram presents sample sizes and exclusions in selecting clinics to participate in the study (top), and in selecting and following patients in intervention (left) and control (right) clinics following random assignment in relation to dates of assessments and the intervention (middle).</p

    Results of aggregate interrupted time series models predicting post-intervention changes in level and trend in the monthly differences between intervention (n = 1924)<sup>&</sup> and control (n = 1226)<sup>&</sup> groups, and estimated differences at six months post-intervention.

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    <p>Results of aggregate interrupted time series models predicting post-intervention changes in level and trend in the monthly differences between intervention (n = 1924)<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0184591#t002fn002" target="_blank"><sup>&</sup></a> and control (n = 1226)<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0184591#t002fn002" target="_blank"><sup>&</sup></a> groups, and estimated differences at six months post-intervention.</p
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