Cheryl Amoroso

Excellent clinical outcomes and high retention in care among adults in a community-based HIV treatment program in rural Rwanda.

Background: Access to antiretroviral therapy (ART) has rapidly expanded; as of the end of 2010, an estimated 6.6 million people are receiving ART in low-income and middle-income countries. Few reports have focused on the experiences of rural health centers or the use of community health workers. We report clinical and programatic outcomes at 24 months for a cohort of patients enrolled in a community-based ART program in southeastern Rwanda under collaboration between Partners In Health and the Rwandan Ministry of Health. Methods and Findings A retrospective medical record review was performed for a cohort of 1041 HIV+ adult patients initiating community-based ART between June 1, 2005, and April 30, 2006. Key programatic elements included free ART with direct observation by community health worker, tuberculosis screening and treatment, nutritional support, a transportation allowance, and social support. Among 1041 patients who initiated community-based ART, 961 (92.3%) were retained in care, 52 (5%) died and 28 (2.7%) were lost to follow-up. Median CD4 T-cell count increase was 336 cells per microliter [interquartile range: (IQR): 212–493] from median 190 cells per microliter (IQR: 116–270) at initiation. Conclusions: A program of intensive community-based treatment support for ART in rural Rwanda had excellent outcomes in 24-month retention in care. Having committed to improving access to HIV treatment in sub-Saharan Africa, the international community, including country HIV programs, should set high programmatic outcome benchmarks.

Comprehensive and integrated district health systems strengthening: the Rwanda Population Health Implementation and Training (PHIT) Partnership

BackgroundNationally, health in Rwanda has been improving since 2000, with considerable improvement since 2005. Despite improvements, rural areas continue to lag behind urban sectors with regard to key health outcomes. Partners In Health (PIH) has been supporting the Rwanda Ministry of Health (MOH) in two rural districts in Rwanda since 2005. Since 2009, the MOH and PIH have spearheaded a health systems strengthening (HSS) intervention in these districts as part of the Rwanda Population Health Implementation and Training (PHIT) Partnership. The partnership is guided by the belief that HSS interventions should be comprehensive, integrated, responsive to local conditions, and address health care access, cost, and quality. The PHIT Partnership represents a collaboration between the MOH and PIH, with support from the National University of Rwanda School of Public Health, the National Institute of Statistics, Harvard Medical School, and Brigham and Women’s Hospital.Description of interventionThe PHIT Partnership’s health systems support aligns with the World Health Organization’s six health systems building blocks. HSS activities focus across all levels of the health system — community, health center, hospital, and district leadership — to improve health care access, quality, delivery, and health outcomes. Interventions are concentrated on three main areas: targeted support for health facilities, quality improvement initiatives, and a strengthened network of community health workers.Evaluation designThe impact of activities will be assessed using population-level outcomes data collected through oversampling of the demographic and health survey (DHS) in the intervention districts. The overall impact evaluation is complemented by an analysis of trends in facility health care utilization. A comprehensive costing project captures the total expenditures and financial inputs of the health care system to determine the cost of systems improvement. Targeted evaluations and operational research pieces focus on specific programmatic components, supported by partnership-supported work to build in-country research capacity.DiscussionBuilding on early successes, the work of the Rwanda PHIT Partnership approach to HSS has already seen noticeable increases in facility capacity and quality of care. The rigorous planned evaluation of the Partnership’s HSS activities will contribute to global knowledge about intervention methodology, cost, and population health impact.

Improving health information systems for decision making across five sub-Saharan African countries: Implementation strategies from the African Health Initiative

BackgroundWeak health information systems (HIS) are a critical challenge to reaching the health-related Millennium Development Goals because health systems performance cannot be adequately assessed or monitored where HIS data are incomplete, inaccurate, or untimely. The Population Health Implementation and Training (PHIT) Partnerships were established in five sub-Saharan African countries (Ghana, Mozambique, Rwanda, Tanzania, and Zambia) to catalyze advances in strengthening district health systems. Interventions were tailored to the setting in which activities were planned.Comparisons across strategiesAll five PHIT Partnerships share a common feature in their goal of enhancing HIS and linking data with improved decision-making, specific strategies varied. Mozambique, Ghana, and Tanzania all focus on improving the quality and use of the existing Ministry of Health HIS, while the Zambia and Rwanda partnerships have introduced new information and communication technology systems or tools. All partnerships have adopted a flexible, iterative approach in designing and refining the development of new tools and approaches for HIS enhancement (such as routine data quality audits and automated troubleshooting), as well as improving decision making through timely feedback on health system performance (such as through summary data dashboards or routine data review meetings). The most striking differences between partnership approaches can be found in the level of emphasis of data collection (patient versus health facility), and consequently the level of decision making enhancement (community, facility, district, or provincial leadership).DiscussionDesign differences across PHIT Partnerships reflect differing theories of change, particularly regarding what information is needed, who will use the information to affect change, and how this change is expected to manifest. The iterative process of data use to monitor and assess the health system has been heavily communication dependent, with challenges due to poor feedback loops. Implementation to date has highlighted the importance of engaging frontline staff and managers in improving data collection and its use for informing system improvement. Through rigorous process and impact evaluation, the experience of the PHIT teams hope to contribute to the evidence base in the areas of HIS strengthening, linking HIS with decision making, and its impact on measures of health system outputs and impact.

Using Electronic Medical Records for HIV Care in Rural Rwanda.

Partners In Health (PIH) implemented an electronic medical record (EMR) system in Rwanda in 2005 to support and improve HIV and TB patient care. The system holds detailed patient records, accessible to clinicians through printed reports or directly via a computer in the consultation rooms. Ongoing assessment of data quality and clinical data use has led multiple interventions to be put in place. One such evaluation cycle led to the implementation of a system which identified 15 previously undiagnosed pediatric patients with HIV. Another cycle led to an EMR intervention which helped to decrease the proportion of completed critical CD4 lab results that did not reach clinicians by 34.2% (p=.002). Additionally an automated data quality improvement system reduced known errors by 92% by providing local data officers a tool and training to allow them to easily access and correct data errors. Electronic systems can be used to support care in rural resource-poor settings, and frequent assessment of data quality and clinical use of data can be used to support that goal.

Delays in Breast Cancer Presentation and Diagnosis at Two Rural Cancer Referral Centers in Rwanda

BACKGROUND Breast cancer incidence is increasing in low- and middle-income countries (LMICs). Mortality/incidence ratios in LMICs are higher than in high-income countries, likely at least in part because of delayed diagnoses leading to advanced-stage presentations. In the present study, we investigated the magnitude, impact of, and risk factors for, patient and system delays in breast cancer diagnosis in Rwanda. MATERIALS AND METHODS We interviewed patients with breast complaints at two rural Rwandan hospitals providing cancer care and reviewed their medical records to determine the diagnosis, diagnosis date, and breast cancer stage. RESULTS A total of 144 patients were included in our analysis. Median total delay was 15 months, and median patient and system delays were both 5 months. In multivariate analyses, patient and system delays of ≥6 months were significantly associated with more advanced-stage disease. Adjusting for other social, demographic, and clinical characteristics, a low level of education and seeing a traditional healer first were significantly associated with a longer patient delay. Having made ≥5 health facility visits before the diagnosis was significantly associated with a longer system delay. However, being from the same district as one of the two hospitals was associated with a decreased likelihood of system delay. CONCLUSION Patients with breast cancer in Rwanda experience long patient and system delays before diagnosis; these delays increase the likelihood of more advanced-stage presentations. Educating communities and healthcare providers about breast cancer and facilitating expedited referrals could potentially reduce delays and hence mortality from breast cancer in Rwanda and similar settings. IMPLICATIONS FOR PRACTICE Breast cancer rates are increasing in low- and middle-income countries, and case fatality rates are high, in part because of delayed diagnosis and treatment. This study examined the delays experienced by patients with breast cancer at two rural Rwandan cancer facilities. Both patient delays (the interval between symptom development and the patients first presentation to a healthcare provider) and system delays (the interval between the first presentation and diagnosis) were long. The total delays were the longest reported in published studies. Longer delays were associated with more advanced-stage disease. These findings suggest that an opportunity exists to reduce breast cancer mortality in Rwanda by addressing barriers in the community and healthcare system to promote earlier detection.

Local use of geographic information systems to improve data utilisation and health services: mapping caesarean section coverage in rural Rwanda

To show the utility of combining routinely collected data with geographic location using a Geographic Information System (GIS) in order to facilitate a data‐driven approach to identifying potential gaps in access to emergency obstetric care within a rural Rwandan health district.

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 Rwandas 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.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 Rwandas 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.

Approaches and impact of non-academic research capacity strengthening training models in sub-Saharan Africa: a systematic review

BackgroundResearch is essential to identify and prioritize health needs and to develop appropriate strategies to improve health outcomes. In the last decade, non-academic research capacity strengthening trainings in sub-Saharan Africa, coupled with developing research infrastructure and the provision of individual mentorship support, has been used to build health worker skills. The objectives of this review are to describe different training approaches to research capacity strengthening in sub-Saharan Africa outside academic programs, assess methods used to evaluate research capacity strengthening activities, and learn about the challenges facing research capacity strengthening and the strategies/innovations required to overcome them.MethodologyThe PubMed database was searched using nine search terms and articles were included if 1) they explicitly described research capacity strengthening training activities, including information on program duration, target audience, immediate program outputs and outcomes; 2) all or part of the training program took place in sub-Saharan African countries; 3) the training activities were not a formal academic program; 4) papers were published between 2000 and 2013; and 5) both abstract and full paper were available in English.ResultsThe search resulted in 495 articles, of which 450 were retained; 14 papers met all inclusion criteria and were included and analysed. In total, 4136 people were trained, of which 2939 were from Africa. Of the 14 included papers, six fell in the category of short-term evaluation period and eight in the long-term evaluation period. Conduct of evaluations and use of evaluation frameworks varied between short and long term models and some trainings were not evaluated. Evaluation methods included tests, surveys, interviews, and systems approach matrix.ConclusionsResearch capacity strengthening activities in sub-Saharan Africa outside of academic settings provide important contributions to developing in-country capacity to participate in and lead research. Institutional support, increased funds, and dedicated time for research activities are critical factors that lead to the development of successful programs. Further, knowledge sharing through scientific articles with sufficient detail is needed to enable replication of successful models in other settings.

Implementation Science for Global Oncology: The Imperative to Evaluate the Safety and Efficacy of Cancer Care Delivery

PURPOSE The development of cancer care treatment facilities in resource-constrained settings represents a challenge for many reasons. Implementation science-the assessment of how services are set up and delivered; contextual factors that affect delivery, treatment safety, toxicity, and efficacy; and where adaptations are needed-is essential if we are to understand the performance of a treatment program, know where the gaps in care exist, and design interventions in care delivery models to improve outcomes for patients. METHODS The field of implementation science in relation to cancer care delivery is reviewed, and the experiences of the integrated implementation science program at the Butaro Cancer Center of Excellence in Rwanda are described as a practical application. Implementation science of HIV and tuberculosis care delivery in similar challenging settings offers some relevant lessons. RESULTS Integrating effective implementation science into cancer care in resource-constrained settings presents many challenges, which are discussed. However, with carefully designed programs, it is possible to perform this type of research, on regular and ongoing bases, and to use the results to develop interventions to improve quality of care and patient outcomes and provide evidence for effective replication and scale-up. CONCLUSION Implementation science is both critical and feasible in evaluating, improving, and supporting effective expansion of cancer care in resource-limited settings. In ideal circumstances, it should be a prospective program, established early in the lifecycle of a new cancer treatment program and should be an integrated and continual process.

Impact of a health system strengthening intervention on maternal and child health outputs and outcomes in rural Rwanda 2005–2010

Introduction Although Rwanda’s health system underwent major reforms and improvements after the 1994 Genocide, the health system and population health in the southeast lagged behind other areas. In 2005, Partners In Health and the Rwandan Ministry of Health began a health system strengthening intervention in this region. We evaluate potential impacts of the intervention on maternal and child health indicators. Methods Combining results from the 2005 and 2010 Demographic and Health Surveys with those from a supplemental 2010 survey, we compared changes in health system output indicators and population health outcomes between 2005 and 2010 as reported by women living in the intervention area with those reported by the pooled population of women from all other rural areas of the country, controlling for potential confounding by economic and demographic variables. Results Overall health system coverage improved similarly in the comparison groups between 2005 and 2010, with an indicator of composite coverage of child health interventions increasing from 57.9% to 75.0% in the intervention area and from 58.7% to 73.8% in the other rural areas. Under-five mortality declined by an annual rate of 12.8% in the intervention area, from 229.8 to 83.2 deaths per 1000 live births, and by 8.9% in other rural areas, from 157.7 to 75.8 deaths per 1000 live births. Improvements were most marked among the poorest households. Conclusion We observed dramatic improvements in population health outcomes including under-five mortality between 2005 and 2010 in rural Rwanda generally and in the intervention area specifically.