Hema Magge
Brigham and Women's Hospital
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Featured researches published by Hema Magge.
BMC Health Services Research | 2014
Anatole Manzi; Hema Magge; Bethany L. Hedt-Gauthier; Annie Michaelis; Felix Rwabukwisi Cyamatare; Laetitia Nyirazinyoye; Lisa R. Hirschhorn; Joseph Ntaganira
BackgroundDespite evidence supporting Integrated Management of Childhood Illness (IMCI) as a strategy to improve pediatric care in countries with high child mortality, its implementation faces challenges related to lack of or poor post-didactic training supervision and gaps in necessary supporting systems. These constraints lead to health care workers’ inability to consistently translate IMCI knowledge and skills into practice. A program providing mentoring and enhanced supervision at health centers (MESH), focusing on clinical and systems improvement was implemented in rural Rwanda as a strategy to address these issues, with the ultimate goal of improving the quality of pediatric care at rural health centers. We explored perceptions of MESH from the perspective of IMCI clinical mentors, mentees, and district clinical leadership.MethodsWe conducted focus group discussions with 40 health care workers from 21 MESH-supported health centers. Two FGDs in each district were carried out, including one for nurses and one for director of health centers. District medical directors and clinical mentors had individual in-depth interviews. We performed a hermeneutic analysis using Atlas.ti v5.2.ResultsStudy participants highlighted program components in five key areas that contributed to acceptability and impact, including: 1) Interactive, collaborative capacity-building, 2) active listening and relationships, 3) supporting not policing, 4) systems improvement, and 5) real-time feedback. Staff turn-over, stock-outs, and other facility/systems gaps were identified as barriers to MESH and IMCI implementation.ConclusionHealth care workers reported high acceptance and positive perceptions of the MESH model as an effective strategy to build their capacity, bridge the gap between knowledge and practice in pediatric care, and address facility and systems issues. This approach also improved relationships between the district supervisory team and health center-based care providers. Despite some challenges, many perceived a strong benefit on clinical performance and outcomes. This study can inform program implementers and policy makers of key components needed for developing similar health facility-based mentorship interventions and potential barriers and resistance which can be proactively addressed to ensure success.
Archives of Disease in Childhood | 2015
Hema Magge; Manzi Anatole; Felix Rwabukwisi Cyamatare; Catherine Mezzacappa; Fulgence Nkikabahizi; Saleh Niyonzima; Peter Drobac; Fidele Ngabo; Lisa R. Hirschhorn
Objective Integrated Management of Childhood Illness (IMCI) is the leading clinical protocol designed to decrease under-five mortality globally. However, impact is threatened by gaps in IMCI quality of care (QOC). In 2010, Partners In Health and the Rwanda Ministry of Health implemented a nurse mentorship intervention Mentoring and Enhanced Supervision at Health Centres (MESH) in two rural districts. This study measures change in QOC following the addition of MESH to didactic training. Design Prepost intervention study of change in QOC after 12 months of MESH support measured by case observation using a standardised checklist. Study sample was children age 2 months to 5 years presenting on the days of data collection (292 baseline, 413 endpoint). Setting 21 rural health centres in Rwanda. Outcomes Primary outcome was a validated index of key IMCI assessments. Secondary outcomes included assessment, classification and treatment indicators, and QOC variability across providers. A mixed-effects regression model of the index was created. Results In multivariate analyses, the index significantly improved in southern Kayonza (β-coefficient 0.17, 95% CI 0.12 to 0.22) and Kirehe (β-coefficient 0.29, 95% CI 0.23 to 0.34) districts. Children seen by IMCI-trained nurses increased from 83.2% to 100% (p<0.001) and use of IMCI case recording forms improved from 65.9% to 97.1% (p<0.001). Correct classification improved (56.0% to 91.5%, p<0.001), as did correct treatment (78.3% to 98.2%, p<0.001). Variability in QOC decreased (intracluster correlation coefficient 0.613–0.346). Conclusions MESH was associated with significant improvements in all domains of IMCI quality. MESH could be an innovative strategy to improve IMCI implementation in resource-limited settings working to decrease under-five mortality.
BMC Health Services Research | 2017
Hema Magge; Roma Chilengi; Elizabeth Jackson; Bradley H. Wagenaar; Almamy Malick Kanté
BackgroundThe Doris Duke Charitable Foundation’s African Health Initiative supported the implementation of Population Health Implementation and Training (PHIT) Partnership health system strengthening interventions in designated areas of five countries: Ghana, Mozambique, Rwanda, Tanzania, and Zambia. All PHIT programs included health system strengthening interventions with child health outcomes from the outset, but all increasingly recognized the need to increase focus to improve health and outcomes in the first month of life. This paper uses a case study approach to describe interventions implemented in newborn health, compare approaches, and identify lessons learned across the programs’ collective implementation experience.MethodsCase studies were built using quantitative and qualitative methods, applying the World Health Organization Health Systems Strengthening Framework, and maternal, newborn and child health continuum of care framework. We identified the following five primary themes in health systems strengthening intervention strategies used to target improvement in newborn health, which were incorporated by all PHIT projects with varying results: health service delivery at the community level (Tanzania), combining community and health facility level interventions (Zambia), participatory information feedback and clinical training (Ghana), performance review and enhancement (Mozambique), and integrated clinical and system-level improvement (Rwanda), and used individual case studies to illustrate each of these themes.ResultsTanzania and Zambia included significant community-based components, including mobilization and sensitization for increased uptake of essential services, while Ghana, Mozambique, and Rwanda focused more efforts on improving the quality of services delivered once a patient enters a health facility. All countries included aspects that improved communication across levels of the health system, whether through district-wide data sharing and peer learning networks in Mozambique and Rwanda, or improved referral processes and systems in Tanzania, Zambia, and Ghana.ConclusionKey lessons learned include the importance of focusing intervention components on addressing drivers of neonatal mortality across the maternal and newborn care continuum at all levels of the health system, matching efforts to improve service utilization with provision of high quality facility-based services, and the critical role of leadership to catalyze improvements in newborn health.
PLOS ONE | 2018
Anatole Manzi; Jean Claude Mugunga; Hari S. Iyer; Hema Magge; Fulgence Nkikabahizi; Lisa R. Hirschhorn
Background Integrated management of childhood illness (IMCI) can reduce under-5 morbidity and mortality in low-income settings. A program to strengthen IMCI practices through Mentorship and Enhanced Supervision at Health centers (MESH) was implemented in two rural districts in eastern Rwanda in 2010. Methods We estimated cost per improvement in quality of care as measured by the difference in correct diagnosis and correct treatment at baseline and 12 months of MESH. Costs of developing and implementing MESH were estimated in 2011 United States Dollars (USD) from the provider perspective using both top-down and bottom-up approaches, from programmatic financial records and site-level data. Improvement in quality of care attributed to MESH was measured through case management observations (n = 292 cases at baseline, 413 cases at 12 months), with outcomes from the intervention already published. Sensitivity analyses were conducted to assess uncertainty under different assumptions of quality of care and patient volume. Results The total annual cost of MESH was US
International Journal for Quality in Health Care | 2018
Christine Mutaganzwa; Leah Wibecan; Hari S. Iyer; Evrard Nahimana; Anatole Manzi; Francois Biziyaremye; Merab Nyishime; Fulgence Nkikabahizi; Lisa R. Hirschhorn; Hema Magge
27,955.74 and the average cost added by MESH per IMCI patient was US
Institute for Healthcare Improvement (IHI) Scientific Symposium on Improving the Quality and Value of Health Care | 2017
Hema Magge; Abiyou Kiflie; Zewdie Mulissa; Mehiret Abate; Abera Biadgo; Befikadu Bitewulign; Hareg Alemu; Kathryn Brooks; Hassen Mohammed; Daniel Burssa
1.06. Salary and benefits accounted for the majority of total annual costs (US
Nursing Outlook | 2013
Manzi Anatole; Hema Magge; Vanessa J. Redditt; Adolphe Karamaga; Saleh Niyonzima; Peter Drobac; Joia S. Mukherjee; Joseph Ntaganira; Laetitia Nyirazinyoye; Lisa R. Hirschhorn
22,400 /year). Improvements in quality of care after 12 months of MESH implementation cost US
BMC Pediatrics | 2015
Evrard Nahimana; Masudi Ngendahayo; Hema Magge; Jackline Odhiambo; Cheryl Amoroso; Ernest Muhirwa; Jean Nepo Uwilingiyemungu; Fulgence Nkikabahizi; Regis Habimana; Bethany L. Hedt-Gauthier
2.95 per additional child correctly diagnosed and
BMC Health Services Research | 2018
Anatole Manzi; Laetitia Nyirazinyoye; Joseph Ntaganira; Hema Magge; Evariste Bigirimana; Leoncie Mukanzabikeshimana; Lisa R. Hirschhorn; Bethany L. Hedt-Gauthier
5.30 per additional child correctly treated. Conclusions The incremental costs per additional child correctly diagnosed and child correctly treated suggest that MESH could be an affordable method for improving IMCI quality of care elsewhere in Rwanda and similar settings. Integrating MESH into existing supervision systems would further reduce costs, increasing potential for spread.
BMC Pediatrics | 2018
Scheilla Bayitondere; Francois Biziyaremye; Catherine M. Kirk; Hema Magge; Katrina Hann; Kim Wilson; Christine Mutaganzwa; Eric Ngabireyimana; Fulgence Nkikabahizi; Evelyne Shema; David B. Tugizimana; Ann C. Miller
Objective Identify predictors of patient satisfaction with antenatal care (ANC) and maternity services in rural Rwanda. Design Cross-sectional. Setting Twenty-six health facilities in Southern Kayonza (SK) and Kirehe districts. Participants Sample of women ≥ 16 years old receiving antenatal and delivery care between November and December 2013. Intervention Survey of patient satisfaction with antenatal and delivery care to inform quality improvement (QI) initiatives aimed at reducing neonatal mortality. Main Outcome Measure Overall satisfaction with antenatal and delivery care (reported as excellent or very good). Results In multivariate logistic regression analysis, high perceived quality [odds ratio (OR) = 3.03, 95% confidence intervals (CI): 1.565.88], respect [OR = 4.13, 95% CI: 2.16-7.89], and confidentiality [SK: OR = 7.50, 95% CI: 2.16-26.01], [Kirehe: OR = 1.54, 95% CI: 0.60-3.94] were associated with higher overall satisfaction with ANC, while having ≥1 child compared to none [OR = 0.46, 95% CI: 0.25-0.84] was associated with lower satisfaction. For maternity services, <5 years of school versus ≥5 years [OR = 0.13, 95% CI: 0.026-0.69] and higher cleanliness [OR = 19.23, 95% CI: 2.22-166.83], self-reported quality [OR = 10.52, 95% CI: 1.81-61.22], communication [OR = 8.78, 95%CI: 1.95-39.59], and confidentiality [OR = 8.66, 95% CI: 1.20-62.64] were all positively associated with high satisfaction. Higher comfort [OR: 0.050, 95% CI: 0.0034-0.71] and Kirehe vs. SK district [OR: 0.21, 95% CI: 0.042-1.01] were associated with lower satisfaction. Conclusions Patient-centeredness (including interpersonal relationships), organizational factors, and location are important individual determinants of satisfaction for women seeking maternal care at study facilities. Understanding variation in these factors should inform QI efforts in maternal and newborn health programs.