Bethany L. Hedt-Gauthier
Harvard University
Public healthNursingPopulationMedicineEnvironmental health
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Publications 86
#1Teena Cherian (Harvard University)H-Index: 2
#2Bethany L. Hedt-Gauthier (Harvard University)H-Index: 12
Last. Caste HabiyakareH-Index: 3
view all 14 authors...
: Background: We aimed to develop and validate a screening algorithm to assist community health workers (CHWs) in identifying surgical site infections (SSIs) after cesarean section (c-section) in rural Africa. Methods: Patients were adult women who underwent c-section at a Rwandan rural district hospital between March and October 2017. A CHW administered a nine-item clinical questionnaire 10 ± 3 days post-operatively. Independently, a general practitioner (GP) administered the same questionnaire...
#1Fredrick KateeraH-Index: 4
Last. Robert RivielloH-Index: 15
view all 10 authors...
Objective: Antibiotic stewardship remains a significant challenge in sub-Saharan Africa, with paucity of systematic data on antimicrobial use in surgical care. We characterise antibiotic prescribing practices for women who delivered via caesarean section (c-section) in rural Rwanda. Design: Nested retrospective cohort study. Setting: Kirehe District, rural Eastern Rwanda. Population: All women aged > 18 years who delivered by c-section between November 2017 and February 2018. Methods: Data on an...
#1Niclas Rudolfson (Harvard University)H-Index: 2
#2Magdalena Gruendl (Harvard University)H-Index: 2
Last. Bethany L. Hedt-Gauthier (Harvard University)H-Index: 12
view all 9 authors...
BACKGROUND: Since long travel times to reach health facilities are associated with worse outcomes, geographic accessibility is one of the six core global surgery indicators; this corresponds to the second of the "Three Delays Framework," namely "delay in reaching a health facility." Most attempts to estimate this indicator have been based on geographical information systems (GIS) algorithms. The aim of our study was to compare GIS derived estimates to self-reported travel times for patients trav...
#1Danielle Poole (Dartmouth College)H-Index: 8
#2Shirley Liao (Harvard University)H-Index: 2
Last. M. C. Smith Fawzi (Harvard University)H-Index: 27
view all 7 authors...
Background: Despite the need for mental health surveillance in humanitarian emergencies, there is a lack of validated instruments. This study evaluated a sequential screening process for major depressive disorder (MDD) using the two- and eight-item Patient Health Questionnaires (PHQ-2 and PHQ-8, respectively). Methods: This study analyzed data collected during a cross-sectional survey in a Syrian refugee camp in Greece (n = 135). The response rate for each instrument was assessed, and response b...
#1Isabel R. Fulcher (Harvard University)H-Index: 3
#2Kaya Hedt (UNC: University of North Carolina at Chapel Hill)
Last. Bethany L. Hedt-Gauthier (Harvard University)H-Index: 12
view all 9 authors...
BACKGROUND: Most maternal health programs in low estimate gestational age to provide appropriate antenatal care at the correct times throughout the pregnancy. Although various gestational dating methods have been validated in research studies, the performance of these methods has not been evaluated on a larger scale, such as within health systems. The objective of this research was to investigate the magnitude and impact of errors in estimated delivery dates on health facility delivery among wom...
#1Christian Mazimpaka (Partners In Health)H-Index: 1
#2Eline Uwitonze (Partners In Health)H-Index: 1
Last. Theoneste Nkurunziza (Partners In Health)H-Index: 5
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Abstract Background Cesarean sections (c-sections), the most common surgical procedures performed worldwide, are essential in reducing maternal and neonatal deaths. There is a paucity of research studies on c-section care and outcomes in rural African settings. The objective of this study was to describe demographic characteristics, clinical management, and maternal and neonatal outcomes among women receiving c-sections at Kirehe District Hospital (KDH) in rural Rwanda. Methods This retrospectiv...
1 CitationsSource
#1Gedeon Ngoga (Partners In Health)H-Index: 4
#2P. H. Park (Brigham and Women's Hospital)
Last. Bethany L. Hedt-Gauthier (Harvard University)H-Index: 12
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Setting: Three district hospitals (DHs) and seven health centers (HCs) in rural Rwanda. Objective: To describe follow-up and treatment outcomes in stage 1 and 2 hypertension patients receiving care at HCs closer to home in comparison to patients receiving care at DHs further from home. Design: A retrospective descriptive cohort study using routinely collected data involving adult patients aged 18 years in care at chronic non-communicable disease clinics and receiving treatment for hypertension a...
#1Sheila Isanaka (Harvard University)H-Index: 16
#2Bethany L. Hedt-Gauthier (Harvard University)H-Index: 12
Last. Ben G. S. Allen (International Medical Corps)
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Coverage is an important indicator to assess both the performance and effectiveness of public health programs. Recommended methods for coverage estimation for the treatment of severe acute malnutrition (SAM) can involve active and adaptive case finding (AACF), an informant-driven sampling procedure, for the identification of cases. However, as this procedure can yield a non-representative sample, exhaustive or near exhaustive case identification is needed for valid coverage estimation with AACF....
#1Bethany L. Hedt-Gauthier (Harvard University)H-Index: 12
#2Herve Momo Jeufack (Accenture)H-Index: 1
Last. Jimmy Volmink (Stellenbosch University)H-Index: 44
view all 9 authors...
Background Collaborations are often a cornerstone of global health research. Power dynamics can shape if and how local researchers are included in manuscripts. This article investigates how international collaborations affect the representation of local authors, overall and in first and last author positions, in African health research. Methods We extracted papers on ‘health’ in sub-Saharan Africa indexed in PubMed and published between 2014 and 2016. The author’s affiliation was used to classif...
6 CitationsSource
Jul 1, 2019 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Richard Fletcher (MIT: Massachusetts Institute of Technology)H-Index: 17
#2Olasubomi Olubeko (MIT: Massachusetts Institute of Technology)
Last. Bethany L. Hedt-Gauthier (Harvard University)H-Index: 12
view all 8 authors...
Surgical site infections are an important health concern, particularly in low-resource areas, where there is poor access to clinical facilities or trained clinical staff. As an application of machine learning, we present results from a study conducted in rural Rwanda for the purpose of predicting infection in Cesarean section wounds, which is a leading cause of maternal mortality. Questionnaire and image data were collected from 572 mothers approximately 10 days after surgery at a district hospi...