Formulating an Ethics of Pharmaceutical Disinvestment.

There is growing interest among pharmaceutical policymakers in how to "disinvest" from subsidized medicines. This is due to both the rapidly rising costs of healthcare and the increasing use of accelerated and conditional reimbursement pathways which mean that medicines are being subsidized on the basis of less robust evidence of safety and efficacy. It is crucial that disinvestment decisions are morally sound and socially legitimate, but there is currently no framework to facilitate this. We therefore reviewed the bioethics literature in order to identify ethical principles and concepts that might be relevant to pharmaceutical disinvestment decisions. This revealed a number of key ethical considerations-both procedural and substantive-that need to be considered when making pharmaceutical disinvestment decisions. These principles do not, however, provide practical guidance so we present a framework outlining how they might be applied to different types of disinvestment decisions. We also argue that, in this context, even the most rigorous ethical reasoning is likely to be overridden by moral intuitions and psychological biases and that disinvestment decisions will need to strike the right balance between respecting justifiable moral intuitions and overriding unjustifiable psychological impulses.

Are perceived barriers to accessing health care associated with inadequate antenatal care visits among women of reproductive age in Rwanda?

BACKGROUND: Maternal and child mortality remain a global health concern despite different interventions that have been implemented to address this issue. Adequate antenatal care (ANC) is crucial in reducing maternal and neonatal morbidity and mortality. However, in Rwanda, there is still suboptimal utilization of ANC services. This study aims to assess the relationship between perceived barriers to accessing health care and inadequate ANC visits among women of reproductive age in Rwanda. METHODS: This study is cross-sectional using secondary data from the 2014-15 Rwanda demographic and health survey (RDHS). The study included 5876 women aged 15-49 years, and the primary outcome of the investigation was inadequate ANC visits defined as delayed first ANC visit and non-completion of at least four recommended visits during the pregnancy period. The primary exposure was perceived barriers to accessing health care, operationalized using the following 4 variables: distance to the health facility, getting money for treatment, not wanting to go alone and getting permission to go for treatment. A survey-weighted multivariable logistic regression analysis and backward elimination method based on Akaike information criterion (AIC) was used to select the final model. We conducted a number of sensitivity analyses using stratified and weighting propensity score methods and investigated the relationship between the outcome and each barrier to care separately. RESULTS: Of 5, 876 women included in the analysis, 53% (3132) aged 20 to 34 years, and 44% (2640) were in the lowest wealth index. Overall, 64% (2375) of women who perceived to have barriers to health care had inadequate ANC visits. In multivariable analysis, women who perceived to have barriers to health care had higher odds of having inadequate ANC visits (OR: 1.14; 95% CI: 0.99, 1.31). However, the association was borderline statistically significant. The findings from sensitivity analyses were consistent with the main analysis results. CONCLUSION: The study suggests a positive association between perceived barriers to health care access and inadequate ANC visits. The findings speak to a need for interventions that focus on improving access to health care in Rwanda to increase uptake of ANC services.

Expanding home-based management of malaria to all age groups in Rwanda: analysis of acceptability and facility-level time-series data.

Background: In response to a resurgence of malaria in Rwanda, home-based management (HBM) was expanded to enable community-health workers (CHWs) to provide malaria treatment to patients of all ages. We assessed the effect of the expanded HBM program on malaria case presentations at health facilities. Methods: Services provided by CHWs and health facility presentations among individuals >5 y of age were considered. Presentations to CHWs were analyzed descriptively to assess acceptability and segmented regression modeling using facility-level data was employed to compare changes between the pre- and postintervention periods for intervention and control districts. Results: Individuals >5 y of age readily accessed malaria diagnosis and treatment services from CHWs. Severe and uncomplicated malaria increased in the postintervention period for both the intervention and control districts. Presentations for uncomplicated malaria increased in the intervention and control districts to a similar degree. Severe cases increased to a greater degree in the intervention districts immediately after HBM was expanded compared with controls, but the monthly rate of increase was lower in the intervention districts. Conclusions: Services were shifted to CHWs, as demonstrated by the number of individuals treated through the expanded program. The rate of severe malaria increased immediately after implementation within intervention districts relative to controls, potentially because of enhanced case-finding. The rate of increase in severe cases was lower in the intervention districts comparatively, likely due to expedited treatment.

Community-Based Accompaniment and the Impact of Distance for HIV Patients Newly Initiated on Antiretroviral Therapy: Early Outcomes and Clinic Visit Adherence in Rural Rwanda.

Community-based accompaniment (CBA) has been associated with improved antiretroviral therapy (ART) patient outcomes in Rwanda. In contrast, distance has generally been associated with poor outcomes. However, impact of distance on outcomes under the CBA model is unknown. This retrospective cohort study included 537 adults initiated on ART in 2012 in two rural districts in Rwanda. The primary outcomes at 6 months after ART initiation included overall program status, missed a visit and missed three consecutive visits. The associations between cost surface distance (straight-line distance adjusted for surface features) and outcomes were assessed using logistic regression, controlling for potential confounders. Died/lost-to-follow-up and missed three consecutive visits were not associated with distance. Patients within 0-1 km cost surface distance were significantly more likely to miss a visit, potentially due to stigma of attending clinic within one's community. These results suggest that CBA may mediate the impact of long distances on outcomes.

Toward utilization of data for program management and evaluation: quality assessment of five years of health management information system data in Rwanda.

BACKGROUND: Health data can be useful for effective service delivery, decision making, and evaluating existing programs in order to maintain high quality of healthcare. Studies have shown variability in data quality from national health management information systems (HMISs) in sub-Saharan Africa which threatens utility of these data as a tool to improve health systems. The purpose of this study is to assess the quality of Rwanda's HMIS data over a 5-year period. METHODS: The World Health Organization (WHO) data quality report card framework was used to assess the quality of HMIS data captured from 2008 to 2012 and is a census of all 495 publicly funded health facilities in Rwanda. Factors assessed included completeness and internal consistency of 10 indicators selected based on WHO recommendations and priority areas for the Rwanda national health sector. Completeness was measured as percentage of non-missing reports. Consistency was measured as the absence of extreme outliers, internal consistency between related indicators, and consistency of indicators over time. These assessments were done at the district and national level. RESULTS: Nationally, the average monthly district reporting completeness rate was 98% across 10 key indicators from 2008 to 2012. Completeness of indicator data increased over time: 2008, 88%; 2009, 91%; 2010, 89%; 2011, 90%; and 2012, 95% (p<0.0001). Comparing 2011 and 2012 health events to the mean of the three preceding years, service output increased from 3% (2011) to 9% (2012). Eighty-three percent of districts reported ratios between related indicators (ANC/DTP1, DTP1/DTP3) consistent with HMIS national ratios. Conclusion and policy implications: Our findings suggest that HMIS data quality in Rwanda has been improving over time. We recommend maintaining these assessments to identify remaining gaps in data quality and that results are shared publicly to support increased use of HMIS data.