Yam Daabo interventions’ effects on postpartum family planning use in Burkina Faso at 24 months after childbirth

Introduction After testing the interventions for improving the prevalence of contraceptive use, very few studies have measured the long-term effects thereafter the end of the implementation. This study aimed to measure Yam Daabo interventions’ effects on contraceptive use in Burkina Faso at twelve months after completion of the intervention. Methods Yam Daabo was a two-group, multi-intervention, single-blind, cluster randomized controlled trial. Interventions comprised refresher training for the provider, a counseling tool, supportive supervision, availability of contraceptive services 7 days a week, client appointment cards, and invitation letters for partners. We used generalized linear mixed-effects models (log Poisson) to compare the modern contraceptive prevalence at 12 months post-intervention in the two groups. We collected data between September and November 2018. We conducted an intention-to-treat analysis and adjusted the prevalence ratios on cluster effects and unbalanced baseline characteristics. Results Twelve months after the completion of the Yam Daabo trial, we interviewed 87.4% (485 out of 555 women with available data at 12 months, that is, 247/276 in the intervention group (89.5%) and 238/279 in the control group (85.3%). No difference was observed in the use of hormonal contraceptive methods between the intervention and control groups (adjusted prevalence ratio = 1.21; 95% confidence interval [CI] = [0.91–1.61], p = 0.191). By contrast, women in the intervention group were more likely to use long-acting reversible contraceptives (LARC) than those in the control group (adjusted prevalence ratio = 1.35; 95% CI = [1.08–1.69], p = 0.008). Conclusion Twelve months after completion of the intervention, we found no significant difference in hormonal contraceptive use between women in the intervention and their control group counterparts. However, women in the intervention group were significantly more likely to use long-acting reversible contraceptives than those in the control group. Trial registration The trial registration number at the Pan African Clinical Trials Registry is PACTR201609001784334. The date of the first registration is 27/09/2016

Task sharing for family planning services, Burkina Faso

© 2019, World Health Organization. All rights reserved. Problem In Burkina Faso, the coverage of services for family planning is low due to shortage of qualified health staff and limited access to services. Approach Following the launch of the Ouagadougou Partnership, an alliance to catalyse the expansion of family planning services, the health ministry created a consortium of family planning stakeholders in 2011. The consortium adopted a collaborative framework to implement a pilot project for task sharing in family planning at community and primary health-care centre levels in two rural districts. Stakeholders were responsible for their areas of expertise. These areas included advocacy; monitoring and evaluation; and capacity development of community health workers (CHWs) to offer oral and injectable contraceptives to new users and of auxiliary nurses and auxiliary midwives to provide implants and intrauterine devices. The health ministry implemented supportive supervision cascades involving relevant planning and service levels. Local setting In Burkina Faso, only 15% (2563/17 087) of married women used modern contraceptives in 2010. Relevant changes Adoption of new policies and clinical care standards expanded task sharing roles in family planning. The consortium trained a total of 79 CHWs and 124 auxiliary nurses and midwives. Between January 2017 and December 2018, CHWs provided injectables to 3698 new users, and auxiliary nurses or midwives provided 726 intrauterine devices and 2574 implants to new users. No safety issues were reported. Lessons learnt The pilot project was feasible and safe, however, financial constraints are hindering scale-up efforts. Supportive supervision cascades were critical in ensuring success

Time to Long-Acting Reversible Contraceptive Uptake Over Twelve Months Postpartum: Findings of the Yam Daabo Cluster Randomized-Controlled Trial in Burkina Faso and the Democratic Republic of the Congo.

Purpose: An earlier adoption of contraceptive methods during the postpartum period could help women to extend the inter-pregnancy interval. This article aimed to determine and compare the timing of long-acting reversible contraceptives (LARC) use (ie, intrauterine device and implant) in Burkina Faso (BF) and DR Congo (DRC) between the intervention and control groups. Patients and Methods: A total of 1120 postpartum women were enrolled and followed up to 12 months postpartum. We used Yam-Daabo trial data which was a multi-intervention, single-blinded, cluster-randomised controlled trial done in primary health-care centres (clusters) in both countries. Centres were randomly allocated to receive the six-component intervention or standard antenatal and postnatal care in matched pairs (1:1). We did a secondary analysis using Royston-Parmar’s semi-parametric model to estimate the effect of the interventions on the median time of LARC uptake. Results: Our analysis included 567 postpartum women in BF (284 in the intervention group and 283 in the control group) and 553 in the DRC (274 in the intervention group and 279 in the control group). After showing an increase in family planning use in these two African countries, Yam Daabo’s interventions showed a reduction of the median time of LARCs adoption in the intervention group compared to the control group in both countries (difference of 39 days in Burkina Faso; difference of 86 days in the DR Congo). Conclusion: The Yam Daabo intervention package resulted in increased and earlier adoption of LARC in rural settings in Burkina Faso and urban settings in DR Congo. Such an intervention could be relevant in similar contexts in Sub-Saharan Africa with very high fertility rates and high unmet needs for contraception

Corrigendum to “Counting adolescents in: the development of an adolescent health indicator framework for population-based settings”

The authors were recently made aware of an oversight such that parts of the text in the Introduction and Methods sections, which describe shortcomings in the existing literature and the methods in this work to identify frameworks and indicators, were missing attribution to published work cited elsewhere in the manuscript. To clarify, we adjust the relevant sections to fully attribute the prior work in three areas, as described below. Underlined text is additional to the original: While both school- and community-based modalities can provide nationally representative data among eligible adolescents, several shortcomings in adolescent health measurement in LMICs were noted by the GAMA Advisory Group (Reference 13 as in the original paper). First, these measurements do not equally cover all adolescent subgroups, with evidence gaps being largest for males, younger adolescents aged 10–14 years, adolescents of diverse genders, ethnicities, and religions, as well as those out of school and migrants. Second, age-disaggregated data are often lacking—due in part to incomplete age coverage—limiting their use for program planning. Third, several aspects of adolescent health are inadequately covered including mental health, substance use, injury, sexual and reproductive health among unmarried adolescents, and positive aspects of adolescent health and well-being. Fourth, the definitions and assessment methods used across adolescent health indicator frameworks are inconsistent. For example, adolescent overweight and obesity—a major cause of non-communicable diseases and a public health risk for future and intergeneration health—is inconsistently captured across indicator frameworks and strikingly absent from the SDGs (Reference 13 as in the original paper). Additional shortcomings include, current adolescent health data systems often lack intersectoral coordination beyond health (e.g., with education, water and sanitation, and social protection systems) and suffer from irregularities in coverage and timing (Reference 6 as in the original paper). Broadly, these indicator frameworks and strategy documents captured disease burden, health risks, and prominent social determinants of health during adolescence. To be congruent with the existing global recommendations and guidelines (References 3–7 as in the original paper) and global measurement efforts (References 10 and 16 as in the original paper), the indicator framework documents had to meet three inclusion criteria, as laid out by the GAMA Advisory Group (Reference 14 as in the original paper): (1) provide recommendations about the measurement of adolescents' health and well-being; (2) include indicators for “adolescents” covering the adolescent age range (10–19 years) in the whole or part; and (3) be global or regional in scope. Using the GAMA's approach (Reference 13 as in the original paper), the recommendations of Lancet Adolescent Health Commission (Reference 6 as in the original paper), and several other guidelines (References 7, 9, 12, 17–19 as in the original paper), we selected adolescent health and well-being domains based on four key aspects of adolescents in LMICs: a) population trends; b) disease burden; c) drivers of health inequality; and d) opportunity for interventions

Counting adolescents in: the development of an adolescent health indicator framework for population-based settings

Changing realities in low- and middle-income countries (LMICs) in terms of inequalities, urbanization, globalization, migration, and economic adversity shape adolescent development and health, as well as successful transitions between adolescence and young adulthood. It is estimated that 90% of adolescents live in LMICs in 2019, but inadequate data exist to inform evidence-based and concerted policies and programs tailored to address the distinctive developmental and health needs of adolescents. Population-based data surveillance such as Health and Demographic Surveillance Systems (HDSS) and school-based surveys provide access to a well-defined population and provide cost-effective opportunities to fill in data gaps about adolescent health and well-being by collecting population-representative longitudinal data. The Africa Research Implementation Science and Education (ARISE) Network, therefore, systematically developed adolescent health and well-being indicators and a questionnaire for measuring these indicators that can be used in population-based LMIC settings. We conducted a multistage collaborative and iterative process led by network members alongside consultation with health-domain and adolescent health experts globally. Seven key domains emerged from this process: socio-demographics, health awareness and behaviors; nutrition; mental health; sexual and reproductive health; substance use; and healthcare utilization. For each domain, we generated a clear definition; rationale for inclusion; sub-domain descriptions, and a set of questions for measurement. The ARISE Network will implement the questionnaire longitudinally (i.e., at two time-points one year apart) at ten sites in seven countries in sub-Saharan Africa and two countries in Asia. Integrating the questionnaire within established population-based data collection platforms such as HDSS and school settings can provide measured experiences of young people to inform policy and program planning and evaluation in LMICs and improve adolescent health and well-being

Discontinuation and switching of postpartum contraceptive methods over twelve months in Burkina Faso and the Democratic Republic of the Congo: a secondary analysis of the Yam Daabo trial.

IntroductionWomen who use contraceptive methods sometimes stop early, use methods intermittently, or switched contraceptive methods. All these events (discontinuations and switching) contribute to the occurrence of unwanted and close pregnancies. This study aimed to explore contraceptive discontinuation and switching during the Yam-Daabo project to measure the effect of interventions on the continuation of contraceptive methods use.MethodsWe conducted a secondary analysis of the Yam-Daabo trial data. We choose the discontinuation and switching of a modern contraceptive method as outcome measures. We performed a survival analysis using the Stata software package to estimate the effect of the interventions on contraceptive discontinuation. We also studied the main reasons for discontinuation and switching.ResultsIn total, 637 out of the 1120 women used at least one contraceptive method (of any type), with 267 women in the control and 370 in the intervention group. One hundred seventy-nine women of the control group used modern methods compared to 279 women of the intervention group with 24 and 32 who discontinued, respectively. We observed no statistically significant association between interventions and modern methods discontinuation and switching. However, modern methods' discontinuation was higher in pills and injectables users than implants and IUDs users. The pooled data comparison showed that, in reference to the women who had not switched while using a modern method, the likelihood of switching to a less or equal effectiveness method among the women of the control group was 3.8(95% CI: 1.8-8.0) times the likelihood of switching to a less or equal effectiveness method among the women of the intervention group. And this excess was statistically significant (p ConclusionThe results of this study show no statistically significant association between interventions and modern methods discontinuation. Discontinuation is more related to the methods themselves than to any other factor. It is also essential to set up specific actions targeting women's partners and influential people in the community to counter inhibiting beliefs.Trial registrationPan African Clinical Trials Registry (PACTR201609001784334, https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=1784 )

Participatory action research to identify a package of interventions to promote postpartum family planning in Burkina Faso and the Democratic Republic of Congo

© 2018 The Author(s). Background: The YAM DAABO study ("your choice" in Mooré) takes place in Burkina Faso and the Democratic Republic of Congo. It has the objective to identify a package of postpartum family planning (PPFP) interventions to strengthen primary healthcare services and determine its effectiveness on contraceptive uptake during the first year postpartum. This article presents the process of identifying the PPFP interventions and its detailed contents. Methods: Based on participatory action research principles, we adopted an inclusive process with two complementary approaches: a bottom-up formative approach and a circular reflective approach, both of which involved a wide range of stakeholders. For the bottom-up component, we worked in each country in three formative sites and used qualitative methods to identify barriers and catalysts to PPFP uptake. The results informed the package design which occurred during the circular reflective approach - a research workshop gathering service providers, members of both country research teams, and the WHO coordination team. Results: As barriers and catalysts were found to be similar in both countries and with the view to scaling up our strategy to other comparable settings, we identified a common package of six low-cost, low-technology, and easily-scalable interventions that addressed the main service delivery obstacles related to PPFP: (1) refresher training of service providers, (2) regularly scheduled and strengthened supportive supervision of service providers, (3) enhanced availability of services 7 days a week, (4) a counseling tool, (5) appointment cards for women, and (6) invitation letters for partners. Conclusions: Our research strategy assumes that postpartum contraceptive uptake can be increased by supporting providers, enhancing the availability of services, and engaging women and their partners. The package does not promote any modern contraceptive method over another but prioritizes the importance of women's right to information and choice regarding postpartum fertility options. The effectiveness of the package will be studied in the experimental phase. If found to be effective, this intervention package may be relevant to and scalable in other parts of Burkina Faso and the DRC, and possibly other Sub-Saharan countries

Mortality from HIV-associated meningitis in sub-Saharan Africa: a systematic review and meta-analysis.

INTRODUCTION: HIV-associated cryptococcal, TB and pneumococcal meningitis are the leading causes of adult meningitis in sub-Saharan Africa (SSA). We performed a systematic review and meta-analysis with the primary aim of estimating mortality from major causes of adult meningitis in routine care settings, and to contrast this with outcomes from clinical trial settings. METHODS: We searched PubMed, EMBASE and the Cochrane Library for published clinical trials (defined as randomized-controlled trials (RCTs) or investigator-managed prospective cohorts) and observational studies that evaluated outcomes of adult meningitis in SSA from 1 January 1990 through 15 September 2019. We performed random effects modelling to estimate pooled mortality, both in clinical trial and routine care settings. Outcomes were stratified as short-term (in-hospital or two weeks), medium-term (up to 10 weeks) and long-term (up to six months). RESULTS AND DISCUSSION: Seventy-nine studies met inclusion criteria. In routine care settings, pooled short-term mortality from cryptococcal meningitis was 44% (95% confidence interval (95% CI):39% to 49%, 40 studies), which did not differ between amphotericin (either alone or with fluconazole) and fluconazole-based induction regimens, and was twofold higher than pooled mortality in clinical trials using amphotericin based treatment (21% (95% CI:17% to 25%), 17 studies). Pooled short-term mortality of TB meningitis was 46% (95% CI: 33% to 59%, 11 studies, all routine care). For pneumococcal meningitis, pooled short-term mortality was 54% in routine care settings (95% CI:44% to 64%, nine studies), with similar mortality reported in two included randomized-controlled trials. Few studies evaluated long-term outcomes. CONCLUSIONS: Mortality rates from HIV-associated meningitis in SSA are very high under routine care conditions. Better strategies are needed to reduce mortality from HIV-associated meningitis in the region

Chronic Diseases in North-West Tanzania and Southern Uganda. Public Perceptions of Terminologies, Aetiologies, Symptoms and Preferred Management

Research outputs produced to support a quantitative population survey, quantitative health facility survey, focus groups and in-depth interviews performed by the projec

Global burden of respiratory infections associated with seasonal influenza in children under 5 years in 2018: a systematic review and modelling study

Background: Seasonal influenza virus is a common cause of acute lower respiratory infection (ALRI) in young children. In 2008, we estimated that 20 million influenza-virus-associated ALRI and 1 million influenza-virus-associated severe ALRI occurred in children under 5 years globally. Despite this substantial burden, only a few low-income and middle-income countries have adopted routine influenza vaccination policies for children and, where present, these have achieved only low or unknown levels of vaccine uptake. Moreover, the influenza burden might have changed due to the emergence and circulation of influenza A/H1N1pdm09. We aimed to incorporate new data to update estimates of the global number of cases, hospital admissions, and mortality from influenza-virus-associated respiratory infections in children under 5 years in 2018. Methods: We estimated the regional and global burden of influenza-associated respiratory infections in children under 5 years from a systematic review of 100 studies published between Jan 1, 1995, and Dec 31, 2018, and a further 57 high-quality unpublished studies. We adapted the Newcastle-Ottawa Scale to assess the risk of bias. We estimated incidence and hospitalisation rates of influenza-virus-associated respiratory infections by severity, case ascertainment, region, and age. We estimated in-hospital deaths from influenza virus ALRI by combining hospital admissions and in-hospital case-fatality ratios of influenza virus ALRI. We estimated the upper bound of influenza virus-associated ALRI deaths based on the number of in-hospital deaths, US paediatric influenza-associated death data, and population-based childhood all-cause pneumonia mortality data in six sites in low-income and lower-middle-income countries. Findings: In 2018, among children under 5 years globally, there were an estimated 109·5 million influenza virus episodes (uncertainty range [UR] 63·1–190·6), 10·1 million influenza-virus-associated ALRI cases (6·8–15·1); 870 000 influenza-virus-associated ALRI hospital admissions (543 000–1 415 000), 15 300 in-hospital deaths (5800–43 800), and up to 34 800 (13 200–97 200) overall influenza-virus-associated ALRI deaths. Influenza virus accounted for 7% of ALRI cases, 5% of ALRI hospital admissions, and 4% of ALRI deaths in children under 5 years. About 23% of the hospital admissions and 36% of the in-hospital deaths were in infants under 6 months. About 82% of the in-hospital deaths occurred in low-income and lower-middle-income countries. Interpretation: A large proportion of the influenza-associated burden occurs among young infants and in low-income and lower middle-income countries. Our findings provide new and important evidence for maternal and paediatric influenza immunisation, and should inform future immunisation policy particularly in low-income and middle-income countries. Funding: WHO; Bill & Melinda Gates Foundation.Fil: Wang, Xin. University of Edinburgh; Reino UnidoFil: Li, You. University of Edinburgh; Reino UnidoFil: O'Brien, Katherine L.. University Johns Hopkins; Estados UnidosFil: Madhi, Shabir A.. University of the Witwatersrand; SudáfricaFil: Widdowson, Marc Alain. Centers for Disease Control and Prevention; Estados UnidosFil: Byass, Peter. Umea University; SueciaFil: Omer, Saad B.. Yale School Of Public Health; Estados UnidosFil: Abbas, Qalab. Aga Khan University; PakistánFil: Ali, Asad. Aga Khan University; PakistánFil: Amu, Alberta. Dodowa Health Research Centre; GhanaFil: Azziz-Baumgartner, Eduardo. Centers for Disease Control and Prevention; Estados UnidosFil: Bassat, Quique. University Of Barcelona; EspañaFil: Abdullah Brooks, W.. University Johns Hopkins; Estados UnidosFil: Chaves, Sandra S.. Centers for Disease Control and Prevention; Estados UnidosFil: Chung, Alexandria. University of Edinburgh; Reino UnidoFil: Cohen, Cheryl. National Institute For Communicable Diseases; SudáfricaFil: Echavarría, Marcela Silvia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. CEMIC-CONICET. Centro de Educaciones Médicas e Investigaciones Clínicas "Norberto Quirno". CEMIC-CONICET; ArgentinaFil: Fasce, Rodrigo A.. Public Health Institute; ChileFil: Gentile, Angela. Gobierno de la Ciudad de Buenos Aires. Hospital General de Niños "Ricardo Gutiérrez"; ArgentinaFil: Gordon, Aubree. University of Michigan; Estados UnidosFil: Groome, Michelle. University of the Witwatersrand; SudáfricaFil: Heikkinen, Terho. University Of Turku; FinlandiaFil: Hirve, Siddhivinayak. Kem Hospital Research Centre; IndiaFil: Jara, Jorge H.. Universidad del Valle de Guatemala; GuatemalaFil: Katz, Mark A.. Clalit Research Institute; IsraelFil: Khuri Bulos, Najwa. University Of Jordan School Of Medicine; JordaniaFil: Krishnan, Anand. All India Institute Of Medical Sciences; IndiaFil: de Leon, Oscar. Universidad del Valle de Guatemala; GuatemalaFil: Lucero, Marilla G.. Research Institute For Tropical Medicine; FilipinasFil: McCracken, John P.. Universidad del Valle de Guatemala; GuatemalaFil: Mira-Iglesias, Ainara. Fundación Para El Fomento de la Investigación Sanitaria; EspañaFil: Moïsi, Jennifer C.. Agence de Médecine Préventive; FranciaFil: Munywoki, Patrick K.. No especifíca;Fil: Ourohiré, Millogo. No especifíca;Fil: Polack, Fernando Pedro. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Rahi, Manveer. University of Edinburgh; Reino UnidoFil: Rasmussen, Zeba A.. National Institutes Of Health; Estados UnidosFil: Rath, Barbara A.. Vienna Vaccine Safety Initiative; AlemaniaFil: Saha, Samir K.. Child Health Research Foundation; BangladeshFil: Simões, Eric A.F.. University of Colorado; Estados UnidosFil: Sotomayor, Viviana. Ministerio de Salud de Santiago de Chile; ChileFil: Thamthitiwat, Somsak. Thailand Ministry Of Public Health; TailandiaFil: Treurnicht, Florette K.. University of the Witwatersrand; SudáfricaFil: Wamukoya, Marylene. African Population & Health Research Center; KeniaFil: Lay-Myint, Yoshida. Nagasaki University; JapónFil: Zar, Heather J.. University of Cape Town; SudáfricaFil: Campbell, Harry. University of Edinburgh; Reino UnidoFil: Nair, Harish. University of Edinburgh; Reino Unid