Individualisation du suivi post-thérapeutique des patients traités du cancer en fonction des facteurs pronostiques et du type de rechute

Les questions de l’organisation de la surveillance des patients ayant reçu un traitement pour un cancer sont toujours ouvertes. Les pratiques courantes sont principalement fondées sur des recommandations d’experts. Peu de preuves scientifiques sont posées pour les valider. Cette thèse propose une méthodologie pour organiser une surveillance post-thérapeutique des patients traités du cancer. Cette surveillance sera individualisée en tenant compte des caractéristiques du patient. Elle sera aussi flexible en s’adaptant aux caractéristiques propres de la maladie, de sa sévérité et des différents types de récidives attendues. Une première partie permet de déterminer la durée optimale de suivi du patient. Les fonctions d’incidences cumulées des différents types de récidives sont modélisées par une approche directe de modélisation de risques compétitifs. La deuxième propose une méthodologie pour fixer les dates de visite de façon optimale. Cette méthode passe par la modélisation des dates d’apparition des événements par une approche multi-états en utilisant une hypothèse de Markov homogène. Enfin, un algorithme est proposé pour évaluer un programme de surveillance post-thérapeutique. Cet algorithme permet de simuler de façon numérique les transitions dynamiques par une technique de simulation des événements discrets. L’ensemble des modèles se basent sur l’histoire naturelle de la maladie.There still are open questions about the organization of the surveillance of patients who received treatment for cancer. Current practices are mainly based on expert recommendations. Little scientific evidence are found to confirm them. This thesis proposes a methodology to organize the post-therapeutic follow-up of patients treated for cancer. This follow-up will be individualized according to the patient’s characteristics. It will also be flexible and adapt to the characteristics of the disease, its severity and the expected types of recurrences. The first part considers the determination of the patient’s follow-up period. The cumulative incidence functions of the different recurrence types are modeled by a direct competing risks modeling approach. The second part proposes a methodology to determine the optimal visit dates. This approach involves modeling the dates of recurrence by a multi-state approach using a homogeneous Markov assumption. Finally, an algorithm is proposed to evaluate a post-therapeutic surveillance program. This algorithm simulates dynamic states transitions by a discrete events simulation approach. All models are based on the natural history of the disease

Individualisation du suivi post-thérapeutique des patients traités du cancer en fonction des facteurs pronostiques et du type de rechute

Les questions de l’organisation de la surveillance des patients ayant reçu un traitement pour un cancer sont toujours ouvertes. Les pratiques courantes sont principalement fondées sur des recommandations d’experts. Peu de preuves scientifiques sont posées pour les valider. Cette thèse propose une méthodologie pour organiser une surveillance post-thérapeutique des patients traités du cancer. Cette surveillance sera individualisée en tenant compte des caractéristiques du patient. Elle sera aussi flexible en s’adaptant aux caractéristiques propres de la maladie, de sa sévérité et des différents types de récidives attendues. Une première partie permet de déterminer la durée optimale de suivi du patient. Les fonctions d’incidences cumulées des différents types de récidives sont modélisées par une approche directe de modélisation de risques compétitifs. La deuxième propose une méthodologie pour fixer les dates de visite de façon optimale. Cette méthode passe par la modélisation des dates d’apparition des événements par une approche multi-états en utilisant une hypothèse de Markov homogène. Enfin, un algorithme est proposé pour évaluer un programme de surveillance post-thérapeutique. Cet algorithme permet de simuler de façon numérique les transitions dynamiques par une technique de simulation des événements discrets. L’ensemble des modèles se basent sur l’histoire naturelle de la maladie.There still are open questions about the organization of the surveillance of patients who received treatment for cancer. Current practices are mainly based on expert recommendations. Little scientific evidence are found to confirm them. This thesis proposes a methodology to organize the post-therapeutic follow-up of patients treated for cancer. This follow-up will be individualized according to the patient’s characteristics. It will also be flexible and adapt to the characteristics of the disease, its severity and the expected types of recurrences. The first part considers the determination of the patient’s follow-up period. The cumulative incidence functions of the different recurrence types are modeled by a direct competing risks modeling approach. The second part proposes a methodology to determine the optimal visit dates. This approach involves modeling the dates of recurrence by a multi-state approach using a homogeneous Markov assumption. Finally, an algorithm is proposed to evaluate a post-therapeutic surveillance program. This algorithm simulates dynamic states transitions by a discrete events simulation approach. All models are based on the natural history of the disease

"It Depends on What They Experience in Each Health Facility. Some Are Satisfied, Others Are Not." A MixedMethods Exploration of Health Workers' Attitudes Towards Performance-Based Financing in Burkina Faso.

BACKGROUND: Evidence emerging from qualitative studies suggests the existence of substantial variation in how health workers experience performance-based financing (PBF) within the same setting. To date, however, no study has quantified or systematically explored this within-setting heterogeneity. Considering that differences in health workers' affective reactions to PBF likely constitute an important element mediating the effectiveness of PBF in improving health service delivery, systematic and tangible information will be highly valuable to policy-makers and program managers who aim to maximize positive impacts of PBF. Our study aimed at contributing to filling this gap in knowledge by quantifying health workers' knowledge of, satisfaction with, and perceptions of PBF in Burkina Faso, and exploring factors associated with heterogeneity therein. METHODS: The study employed a post-intervention cross-sectional explanatory mixed methods study design with a dominant quantitative component - a structured survey to a total of 1314 health workers from 396 intervention health facilities - and a small and focused qualitative component - key informant interviews with 5 program managers - to triangulate and further elucidate the quantitative findings. Quantitative data were analyzed descriptively as well as using 3-level mixed-effects models. Qualitative data were analyzed in a largely deductive process along the quantitative variables and results. RESULTS: Health workers were on average moderately satisfied with PBF overall, with a slight tendency towards the positive and large variation between individuals. Two-thirds of health workers did not have adequate basic knowledge of key PBF elements. Perceived fairness of the performance evaluation process, of the bonus distribution process, and satisfaction with the individual financial bonuses varied dramatically between respondents. Factors associated with heterogeneity in knowledge, satisfaction, and fairness perceptions included responsibility at the facility, general work attitudes, management factors, and training in and length of exposure to PBF. CONCLUSION: Findings imply that investments into staff training on PBF and manager training on organizational change processes might be beneficial to positive staff attitudes towards PBF, which in turn would likely contribute to improving the effectiveness of PBF

A mixed methods protocol to evaluate the effect and cost-effectiveness of an Integrated electronic Diagnosis Approach (IeDA) for the management of childhood illnesses at primary health facilities in Burkina Faso.

BACKGROUND: Burkina Faso introduced the Integrated Management of Childhood Illnesses (IMCI) strategy in 2003. However, an evaluation conducted in 2013 found that only 28 % of children were assessed for three danger signs as recommended by IMCI, and only 15 % of children were correctly classified. About 30 % of children were correctly prescribed with an antibiotic for suspected pneumonia or oral rehydration salts (ORS) for diarrhoea, and 40 % were correctly referred. Recent advances in information and communication technologies (ICT) and use of electronic clinical protocols hold the potential to transform healthcare delivery in low-income countries. However, no evidence is available on the effect of ICT on adherence to IMCI. This paper describes the research protocol of a mixed methods study that aims to measure the effect of the Integrated electronic Diagnosis Approach innovation (an electronic IMCI protocol provided to nurses) in two regions of Burkina Faso. METHODS/DESIGN: The study combines a stepped-wedge trial, a realistic evaluation and an economic study in order to capture the effect of the innovation after its introduction on the level of adherence, cost and acceptability. DISCUSSION: The main challenge is to interconnect the three substudies. In integrating outcome, process and cost data, we focus on three key questions: (i) How does the effectiveness and the cost of the intervention vary by type of health worker and type of health centre? (ii) What is the impact of changes in the content, coverage and quality of the IeDA intervention on adherence and cost-effectiveness? (iii) What mechanisms of change (including costs) might explain the relationship between the IeDA intervention and adherence? TRIAL REGISTRATION: Clinicaltrials.gov, NCT02341469

Survival analysis in living and engineering sciences

Survival or reliability analysis is one of the most significant advancements of statistics in the last quarter of the 20th century. This domain of statistics takes an important place in biomedical and industrial framework. In this paper, we propose a new baseline hazard function from extreme value theory. The newly suggested function is non-monotone and is named as a generalized extreme values baseline hazard function. We prove that this function satisfies hazard properties. A study of the characteristics of the function related to time is made. Conditions for applicability of the model are obtained

CONTRIBUTION DE LA TECHNOLOGIE DU BIODIGESTEUR A LA DURABILITE DES EXPLOITATIONS AGRICOLES FAMILIALES AU BURKINA FASO

Despite problems related to energy, biomass reduction, grazing degradation, decreased soil fertility, environmental fragility, the biodigester is positioned as a strategy of adaptation and transformation of production systems with the association of agriculture and livestock. The biodigester is an underground construction that uses cow dung or pork excrement mixed with water to produce biogas for cooking and lighting and effluent compost for soil fertilization. The study aimed to evaluate the contribution of the Biodigester technology to agro-ecological sustainability, socio-territorial sustainability and socio-economic sustainability. The study was undertaken in November 2015 in the municipalities of Bobo Dioulasso, Kaya-Barsalgo and Dori. The individual survey was conducted in twenty-four (24) villages on a sample of 166 heads of farms. The results showed the contribution of biodigester technology to agro-ecological, socio-territorial and socio-economic sustainability. Furthermore, land security, the cost of installing the infrastructure, insufficiency or scarcity of cow dung at certain times of the year, lack of water remain the main limits of adoption of the Biodigester technology. The biodigester is an appropriate technology capable of solving the economic, agricultural and energy questions faced by households

An Integrated eDiagnosis Approach (IeDA) versus standard IMCI for assessing and managing childhood illness in Burkina Faso: a stepped-wedge cluster randomised trial.

BACKGROUND: The Integrated eDiagnosis Approach (IeDA), centred on an electronic Clinical Decision Support System (eCDSS) developed in line with national Integrated Management of Childhood Illness (IMCI) guidelines, was implemented in primary health facilities of two regions of Burkina Faso. An evaluation was performed using a stepped-wedge cluster randomised design with the aim of determining whether the IeDA intervention increased Health Care Workers' (HCW) adherence to the IMCI guidelines. METHODS: Ten randomly selected facilities per district were visited at each step by two trained nurses: One observed under-five consultations and the second conducted a repeat consultation. The primary outcomes were: overall adherence to clinical assessment tasks; overall correct classification ignoring the severity of the classifications; and overall correct prescription according to HCWs' classifications. Statistical comparisons between trial arms were performed on cluster/step-level summaries. RESULTS: On average, 54 and 79% of clinical assessment tasks were observed to be completed by HCWs in the control and intervention districts respectively (cluster-level mean difference = 29.9%; P-value = 0.002). The proportion of children for whom the validation nurses and the HCWs recorded the same classifications (ignoring the severity) was 73 and 79% in the control and intervention districts respectively (cluster-level mean difference = 10.1%; P-value = 0.004). The proportion of children who received correct prescriptions in accordance with HCWs' classifications were similar across arms, 78% in the control arm and 77% in the intervention arm (cluster-level mean difference = - 1.1%; P-value = 0.788). CONCLUSION: The IeDA intervention improved substantially HCWs' adherence to IMCI's clinical assessment tasks, leading to some overall increase in correct classifications but to no overall improvement in correct prescriptions. The largest improvements tended to be observed for less common conditions. For more common conditions, HCWs in the control districts performed relatively well, thus limiting the scope to detect an overall impact. TRIAL REGISTRATION: ClinicalTrials.gov NCT02341469 ; First submitted August 272,014, posted January 19, 2015

No impact of performance-based financing on the availability of essential medicines in Burkina Faso: A mixed-methods study

Access to safe, effective, and affordable essential medicines (EM) is critical to quality health services and as such has played a key role in innovative health system strengthening approaches such as Performance-based Financing (PBF). Available literature indicates that PBF can improve EM availability, but has not done so consistently in the past. Qualitative explorations of the reasons are yet scarce. We contribute to expanding the literature by estimating the impact of PBF on EM availability and stockout in Burkina Faso and investigating mechanisms of and barriers to change. The study used an explanatory mixed methods design. The quantitative study component followed a quasi-experimental design (difference-in-differences), comparing how EM availability and stockout had changed three years after implementation in 12 PBF and in 12 control districts. Qualitative data was collected from purposely selected policy and implementation stakeholders at all levels of the health system and community, using in-depth interviews and focus group discussions, and explored using deductive coding and thematic analysis. We found no impact of PBF on EM availability and stockouts in the quantitative data. Qualitative narratives converge in that EM supply had increased as a result of PBF, albeit not fully satisfactorily and sustainably so. Reasons include persisting contextual challenges, most importantly a public medicine procurement monopoly; design challenges, specifically a disconnect and disbalance in incentive levels between service provision and service quality indicators; implementation challenges including payment delays, issues around performance verification, and insufficient implementation of activities to strengthen stock management skills; and concurrently implemented policies, most importantly a national user fee exemption for children and pregnant women half way through the impact evaluation period. The case of PBF and EM availability in Burkina Faso illustrates the difficulty of incentivizing and effecting holistic change in EM availability in the presence of strong contextual constraints and powerful concurrent policies.</jats:p

Can Combining Performance-Based Financing With Equity Measures Result in Greater Equity in Utilization of Maternal Care Services? Evidence From Burkina Faso.

BACKGROUND: As countries reform health financing systems towards universal health coverage, increasing concerns emerge on the need to ensure inclusion of the most vulnerable segments of society, working to counteract existing inequities in service coverage. To this end, selected countries in sub-Saharan Africa have decided to couple performance-based financing (PBF) with demand-side equity measures. Still, evidence on the equity impacts of these more complex PBF models is largely lacking. We aimed at filling this gap in knowledge by assessing the equity impact of PBF combined with equity measures on utilization of maternal health services in Burkina Faso. METHODS: Our study took place in 24 districts in rural Burkina Faso. We implemented an experimental design (clusterrandomized trial) nested within a quasi-experimental one (pre- and post-test design with independent controls). Our analysis relied on self-reported data on pregnancy history from 9999 (baseline) and 11 010 (endline) women of reproductive age (15-49 years) on use of maternal healthcare and reproductive health services, and estimated effects using a difference-in-differences (DID) approach, purposely focused on identifying program effects among the poorest wealth quintile. RESULTS: PBF improved the utilization of few selected maternal health services compared to status quo service provision. These benefits, however, were not accrued by the poorest 20%, but rather by the other quintiles. PBF combined with equity measures did not produce better or more equitable results than standard PBF, with specific differences only on selected outcomes. CONCLUSION: Our findings challenge the notion that implementing equity measures alongside PBF is sufficient to produce an equitable distribution in program benefits and point at the need to identify more innovative and contextsensitive measures to ensure adequate access to care for the poorest. Our findings also highlight the importance of considering changing policy environments and the need to assess interferences across policies

Nutritional status of children under five years and associated factors in 24 districts of Burkina Faso

Malnutrition in children is a serious health problem, especially in Sub-Saharan Africa, with heavy socioeconomic burdens. The prevalence of stunting remains high in Burkina Faso. There is a need to further investigate undernutrition and identify the major factors contributing to its persistence. We aimed to assess the nutritional status of children aged under five years and the associated factors of undernutrition in Burkina Faso. We conducted a second study using a baseline household survey of the impact assessment of a performance-based financing program. The analysis focused on data of 10,032 children aged 0-59 months collected from households in 537 villages. Anthropometric indicators were assessed using the World Health Organization standards, and their association with children, mothers, and households' characteristics were assessed using logistic regression. Stunting occurred in 40.1% of children, wasting in 25.1%, and underweight in 34%. Children having both stunting, wasting, and underweight were 7.3%. Stunting and underweight was associated with the sex. Stunting was associated with ethnic groups: Fulani with AdjOR = 1.20 (95%CI: 1.01-1.42), household economic level: poorest AdjOR = 1.25 (95%CI: 1.10-1.43), two and more children aged under five years in households: AdjOR = 1.16 (95%CI: 1.05-1.27), distance more than 5km from household to health facility: with Adj OR = 1.21 (95%CI: 1.10-1.35) and household food insecurity. This study identified the modifiable factors that determine the high prevalence of undernutrition in Burkina Faso. Strategies and interventions to improve the health and economic status of the community are needed to reduce the occurrence of undernutrition