Last data update: Jan 27, 2025. (Total: 48650 publications since 2009)
Records 1-6 (of 6 Records) |
Query Trace: Tolentino H[original query] |
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Lessons learned from early implementation of the Growing Expertise in E-health Knowledge and Skills (GEEKS) program in Nigeria, 2019 - 2021
Rachlin A , Adegoke OJ , Sikare E , Adeoye OB , Dagoe E , Adeyelu A , Tolentino H , MacGregor J , Obasi S , Adah G , Garba AB , Abah AU , Friday J , Oyiri F , Porter AM , Olajide L , Wilson I , Usman R , Usifoh N , Fasogbon O , Franka R , Ghiselli M , Nguku P , Waziri N , Lam E , Bolu O . Pan Afr Med J 2023 46 81 INTRODUCTION: the Growing Expertise in E-health Knowledge and Skills (GEEKS) program is an applied apprenticeship program that aims to improve informatics capacity at various levels of the national health system and create a sustainable informatics workforce. Nigeria adapted the GEEKS model in 2019 as a mechanism to strengthen data quality and use of routine immunization (RI) and vaccine-preventable disease (VPD) surveillance data among Expanded Programme on Immunization (EPI) staff. Since the start of the GEEKS-EPI program, there has not been a formal assessment conducted to measure the extent to which GEEKS-EPI has been able to build local informatics workforce capacity and strengthen RI and VPD surveillance (VPDS) data quality and use in Nigeria. METHODS: we conducted a qualitative assessment to inform the extent to which GEEKS-EPI has been able to build informatics skillsets to enhance local workforce capacity, foster collaboration across government agencies, and create a sustainable informatics workforce in Nigeria. In-Depth Interviews (IDIs) and Focus Group Discussions (FGDs) were held with GEEKS-EPI supervisors, mentors, and mentees from previous GEEKS-EPI cohorts. RESULTS: while there were challenges reported during early implementation of the GEEKS-EPI program in Nigeria, particularly early on in the COVID-19 pandemic, participants and supervisors reported that the fellowship provided a framework for building a sustainable RI and VPDS informatics workforce through regular mentorship, peer-to-peer exchanges and Subject Matter Expert (SME)-led trainings. CONCLUSION: lessons learned from early implementation of GEEKS-EPI in Nigeria will help to inform its implementation in other countries, where strengthened national RI and VPDS informatics capacity is the primary objective. |
Leveraging electronic medical records for HIV testing, care, and treatment programming in Kenya-The National Data Warehouse Project
Ndisha M , Hassan AS , Ngari F , Munene E , Gikura M , Kimutai K , Muthoka K , Murie LA , Tolentino H , Odhiambo J , Mwele P , Odero L , Mbaire K , Omoro G , Kimanga DO . BMC Med Inform Decis Mak 2023 23 (1) 183 BACKGROUND: Aggregate electronic data repositories and population-level cross-sectional surveys play a critical role in HIV programme monitoring and surveillance for data-driven decision-making. However, these data sources have inherent limitations including inability to respond to public health priorities in real-time and to longitudinally follow up clients for ascertainment of long-term outcomes. Electronic medical records (EMRs) have tremendous potential to bridge these gaps when harnessed into a centralised data repository. We describe the evolution of EMRs and the development of a centralised national data warehouse (NDW) repository. Further, we describe the distribution and representativeness of data from the NDW and explore its potential for population-level surveillance of HIV testing, care and treatment in Kenya. MAIN BODY: Health information systems in Kenya have evolved from simple paper records to web-based EMRs with features that support data transmission to the NDW. The NDW design includes four layers: data warehouse application programming interface (DWAPI), central staging, integration service, and data visualization application. The number of health facilities uploading individual-level data to the NDW increased from 666 in 2016 to 1,516 in 2020, covering 41 of 47 counties in Kenya. By the end of 2020, the NDW hosted longitudinal data from 1,928,458 individuals ever started on antiretroviral therapy (ART). In 2020, there were 936,869 individuals who were active on ART in the NDW, compared to 1,219,276 individuals on ART reported in the aggregate-level Kenya Health Information System (KHIS), suggesting 77% coverage. The proportional distribution of individuals on ART by counties in the NDW was consistent with that from KHIS, suggesting representativeness and generalizability at the population level. CONCLUSION: The NDW presents opportunities for individual-level HIV programme monitoring and surveillance because of its longitudinal design and its ability to respond to public health priorities in real-time. A comparison with estimates from KHIS demonstrates that the NDW has high coverage and that the data maybe representative and generalizable at the population-level. The NDW is therefore a unique and complementary resource for HIV programme monitoring and surveillance with potential to strengthen timely data driven decision-making towards HIV epidemic control in Kenya. DATABASE LINK: ( https://dwh.nascop.org/ ). |
Strengthening ehealth systems to support universal health coverage in sub-Saharan Africa
Ojo A , Tolentino H , Yoon SS . Online J Public Health Inform 2021 13 (3) E17 The aim of universal health coverage (UHC) is to ensure that all individuals in a country have access to quality healthcare services and do not suffer financial hardship in using these services. However, progress toward attaining UHC has been slow, particularly in sub-Saharan Africa. The use of information and communication technologies for healthcare, known as eHealth, can facilitate access to quality healthcare at minimal cost. eHealth systems also provide the information needed to monitor progress toward UHC. However, in most countries, eHealth systems are sometimes non-functional and do not serve programmatic purposes. Therefore, it is crucial to implement strategies to strengthen eHealth systems to support UHC. This perspective piece proposes a conceptual framework for strengthening eHealth systems to attain UHC goals and to help guide UHC and eHealth strategy development. |
The associations of phthalate biomarkers during pregnancy with later glycemia and lipid profiles
Wu H , Just AC , Colicino E , Calafat AM , Oken E , Braun JM , McRae N , Cantoral A , Pantic I , Pizano-Zárate ML , Tolentino MC , Wright RO , Téllez-Rojo MM , Baccarelli AA , Deierlein AL . Environ Int 2021 155 106612 ![]() BACKGROUND: Pregnancy induces numerous cardiovascular and metabolic changes. Alterations in these sensitive processes may precipitate long-term post-delivery health consequences. Studies have reported associations between phthalates and metabolic complications of pregnancy, but no study has investigated metabolic outcomes beyond pregnancy. OBJECTIVES: To examine associations of exposure to phthalates during pregnancy with post-delivery metabolic health. DESIGN: We quantified 15 urinary phthalate biomarker concentrations during the second and third trimesters among 618 pregnant women from Mexico City. Maternal metabolic health biomarkers included fasting blood measures of glycemia [glucose, insulin, Homeostatic Model Assessment of Insulin Resistance [HOMA-IR], % hemoglobin A1c (HbA1c%)] and lipids (total, high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol, triglycerides), at 4-5 and 6-8 years post-delivery. To estimate the influence of the phthalates mixture, we used Bayesian weighted quantile sum regression and Bayesian kernel machine regression; for individual biomarkers, we used linear mixed models. RESULTS: As a mixture, higher urinary phthalate biomarker concentrations during pregnancy were associated with post-delivery concentrations of plasma glucose (interquartile range [IQR] difference: 0.13 SD, 95%CrI: 0.05, 0.20), plasma insulin (IQR difference: 0.06 SD, 95%CrI: -0.02, 0.14), HOMA-IR (IQR difference: 0.08 SD, 95% CrI: 0.01, 0.16), and HbA1c% (IQR difference: 0.15 SD, 95%CrI: 0.05, 0.24). Associations were primarily driven by mono-2-ethyl-5-carboxypentyl terephthalate (MECPTP) and the sum of dibutyl phthalate biomarkers (∑DBP). The phthalates mixture was associated with lower HDL (IQR difference: -0.08 SD, 95%CrI: -0.16, -0.01), driven by ∑DBP and monoethyl phthalate (MEP), and higher triglyceride levels (IQR difference: 0.15 SD, 95%CrI: 0.08, 0.22), driven by MECPTP and MEP. The overall mixture was not associated with total cholesterol and LDL. However, ∑DBP and MEP were associated with lower and higher total cholesterol, respectively, and MECPTP and ∑DBP were associated with lower LDL. CONCLUSIONS: Phthalate exposure during pregnancy is associated with adverse long-term changes in maternal metabolic health. A better understanding of timing of the exact biological changes and their implications on metabolic disease risk is needed. |
Prenatal maternal phthalate exposures and child lipid and adipokine levels at age six: A study from the PROGRESS cohort of Mexico City
Kupsco A , Wu H , Calafat AM , Kioumourtzoglou MA , Tamayo-Ortiz M , Pantic I , Cantoral A , Tolentino M , Oken E , Braun JM , Deierlein AL , Wright RO , Téllez-Rojo MM , Baccarelli AA , Just AC . Environ Res 2020 192 110341 ![]() BACKGROUND: Prenatal phthalate exposures may affect processes that underlie offspring cardiometabolic health, but findings from studies examining these associations are conflicting. We examined associations between biomarkers of phthalate exposures during pregnancy with child lipid and adipokine levels. METHODS: Data were from 463 mother-child pairs in the PROGRESS cohort of Mexico City. We quantified 15 phthalate metabolites in 2nd and 3rd trimester maternal urine samples and created an average pregnancy measure using the geometric mean. We evaluated the 15 metabolites as nine biomarkers, including four metabolite molar sums. We measured fasting serum triglycerides, non-HDL cholesterol, leptin, and adiponectin in children at the six-year follow-up visit (mean = 6.8 years). We estimated associations using linear regression, Bayesian kernel machine regression (BKMR), and weighted quantile sum (WQS) and assessed effect modification by sex. RESULTS: In BKMR and WQS models, higher concentrations of the total mixture of phthalate biomarkers were associated with lower triglycerides (β = -3.7% [-6.5, -0.78] per 1 unit increase in WQS biomarker index) and non-HDL cholesterol (β = -2.0 [-3.7, -0.25] ng/ml per increase in WQS biomarker index). Associations between individual biomarkers and child outcomes were largely null. We observed some evidence of effect modification by child sex for mono-3-carboxypropyl phthalate (β = 19.4% [1.26, 40.7] per doubling of phthalate) and monobenzyl phthalate (β = -7.6% [-14.4, -0.23]) in girls for adiponectin. CONCLUSIONS: Individual prenatal phthalate biomarkers were not associated with child lipid or adipokine levels. Contrary to our hypothesis, the total phthalate mixture was associated with lower child triglycerides and non-HDL cholesterol. |
Building workforce capacity for effective use of health information systems: Evaluation of a blended eLearning course in Namibia and Tanzania
Rudd KE , Puttkammer N , Antilla J , Richards J , Heffron M , Tolentino H , Jacobs DJ , KatjiuanJo P , Prybylski D , Shepard M , Kumalija JC , Katuma HL , Leon BK , Mgonja NG , Santas XM . Int J Med Inform 2019 131 103945 BACKGROUND: Electronic health information systems (HIS) are critical components of national health systems, and have been identified as a key element in the development and strengthening of health systems globally. Novel approaches are needed to effectively and efficiently train health care workers on the use of HIS. One such approach is the use of digital eLearning programs, either alone or blended with face-to-face learning activities. METHODS: We developed a novel blended eLearning course based on an in-person HIS training package previously developed by the United States Centers for Disease Control and Prevention. We then conducted a pilot implementation of the eLearning course in Namibia and Tanzania. RESULTS: The blended eLearning pilot program enrolled 131 people, 72 (55%) from Namibia and 59 (45%) from Tanzania. The majority of enrollees were female (n = 88, 67%) and were nurses (n=66, 50%). Of the 131 people who participated in the in-person orientation, 95 (73%) completed some or all of the eLearning modules. Across all three modules, the mean score on the post-test was significantly greater than on the pre-test (p<0.001). When comparing results from previous in-person workshops and the blended eLearning course, we found that participants experienced strong learning gains in both, although learning gains were somewhat greater in the in-person course. Blended eLearning course participants reported good to very good satisfaction with the overall content of the course and with the eLearning modules (3.5 and 3.6 out of 5-point Likert scale). We estimate that the total cost per participant is 2.2-3.4 times greater for the in-person course (estimated cost USD $980) than for the blended eLearning course (estimated cost USD $287-$437). CONCLUSION: A blended eLearning course is an effective method with which to train healthcare workers in the basic features of HIS, and the cost is up to 3.4 times less expensive than for an in-person course with similar content. |
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