33 research outputs found

    Implementation fidelity and challenges of optimal cold chain management in Assossa district health system, Benshangul-Gumuz region, Western Ethiopia

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    AbstractIntroduction: Preventive programs which have proven to be effective in clinical trials may not necessarily impact the health and wellbeing of the community unless they are implemented with fidelity. While cold chain is the backbone of immunization programs, limited studies exist to explain fidelity implementation which likely contributes to a lack of evidence-based instructional practices of cold chain management.Aim: This study aimed to explore the fidelity implementation and challenges of optimal cold chain management in the Benshangul-gumuz region.Methods: A qualitative approach was utilized to explore the underlying challenges to optimum implementation of cold chain management in Benshangul-gumuz region. Observational techniques and key informant interviews with 12 key-informants were conducted. Data was collected at all levels of the health system including, the regional health bureau, Ethiopian Pharmaceuticals Supply Agency hub, district health offices, Health centers, and health posts. Data analysis and interpretation was performed using the framework analysis approach. Open Code 4.02 software was used for analysis.Findings: This study identified three main themes including adherence to intervention, human resource development, and availability and use of resources. The findings also revealed that a significant number of the employees were not adhering to the optimal cold chain management guidelines. Staff development, availability and utilization of equipment and related finances were major fidelity implementation challenges of cold chain management.Conclusions: Across the health facilities under study, implementation fidelity of cold chain management was considered poor. Human resource development, proper allocation and effective management of logistics and related finance could facilitate optimal cold chain management practices, and efforts to save lives through delivery of safe and quality vaccines. [Ethiop. J. Health Dev. 2021; 35(SI-3):03-08]Keywords: Cold chain management, Implementation fidelity, Challenges, Ethiopi

    “ANALISIS PENGARUH THEORY OF PLANNED BEHAVIOR, NILAI YANG DIRASAKAN, DAN KESEDIAAN UNTUK MEMBAYAR TERHADAP PERILAKU PEMBELIAN KONSUMEN MELALUI MINAT BELI KONSUMEN SEBAGAI VARIABEL INTERVENING” (STUDI PADA KONSUMEN THE BODY SHOP di CITRALAND SEMARANG)

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    Green consumption by the community can be an effective way to minimize negative impacts on the environment. Research related to consumer behavior in consuming environmentally friendly products in developing countries such as Indonesia is very little and rarely. Considering this, researchers in this study have tried to understand consumer behavior to buy environmentally friendly products in the context of developing countries such as Indonesia. Based on the gaps phenomenon above, this study aims to analyze what factors influence consumer purchasing behavior on environmentally friendly products. And in this study using the Theory of Planned Behavior (TPB) variable and then expanding the Theory of Planned Behavior using additional variables, namely perceived value and willingness to pay and consumer buying intention as intervening variables. The population used in this study were female consumers of The Body Shop who are domiciled in Semarang aged 20-60 years and purchased The Body Shop products at the Citraland Semarang for more than 3 months. The number of samples used in this study were 150 respondents. The method of data collection is done through a questionnaire. This research uses Structural Equation Modeling (SEM) analysis technique using AMOS 24.0 analysis tool. The test results using Structural Equation Modeling (SEM) analysis techniques indicate that the model is not in accordance with population data. While the hypothesis testing shows that four hypotheses from six hypotheses can be accepted and proven in this study, namely attitudes, subjective norms, and willingness to pay affect consumer buying intention and consumer buying intention influence consumer buying behavior. And the two hypotheses rejected in this study are subjective norms and values that are assessed do not have an influence on consumer buying interest

    Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000–2018

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    Abstract: Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030

    Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000–2018

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    Exclusive breastfeeding (EBF)-giving infants only breast-milk for the first 6 months of life-is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization's Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030.This work was primarily supported by grant no. OPP1132415 from the Bill & Melinda Gates Foundation. Co-authors used by the Bill & Melinda Gates Foundation (E.G.P. and R.R.3) provided feedback on initial maps and drafts of this manuscript. L.G.A. has received support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brasil (CAPES), Código de Financiamento 001 and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (grant nos. 404710/2018-2 and 310797/2019-5). O.O.Adetokunboh acknowledges the National Research Foundation, Department of Science and Innovation and South African Centre for Epidemiological Modelling and Analysis. M.Ausloos, A.Pana and C.H. are partially supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project no. PN-III-P4-ID-PCCF-2016-0084. P.C.B. would like to acknowledge the support of F. Alam and A. Hussain. T.W.B. was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. K.Deribe is supported by the Wellcome Trust (grant no. 201900/Z/16/Z) as part of his international intermediate fellowship. C.H. and A.Pana are partially supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project no. PN-III-P2-2.1-SOL-2020-2-0351. B.Hwang is partially supported by China Medical University (CMU109-MF-63), Taichung, Taiwan. M.Khan acknowledges Jatiya Kabi Kazi Nazrul Islam University for their support. A.M.K. acknowledges the other collaborators and the corresponding author. Y.K. was supported by the Research Management Centre, Xiamen University Malaysia (grant no. XMUMRF/2020-C6/ITM/0004). K.Krishan is supported by a DST PURSE grant and UGC Centre of Advanced Study (CAS II) awarded to the Department of Anthropology, Panjab University, Chandigarh, India. M.Kumar would like to acknowledge FIC/NIH K43 TW010716-03. I.L. is a member of the Sistema Nacional de Investigación (SNI), which is supported by the Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT), Panamá. M.L. was supported by China Medical University, Taiwan (CMU109-N-22 and CMU109-MF-118). W.M. is currently a programme analyst in Population and Development at the United Nations Population Fund (UNFPA) Country Office in Peru, which does not necessarily endorses this study. D.E.N. acknowledges Cochrane South Africa, South African Medical Research Council. G.C.P. is supported by an NHMRC research fellowship. P.Rathi acknowledges support from Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India. Ramu Rawat acknowledges the support of the GBD Secretariat for supporting the reviewing and collaboration of this paper. B.R. acknowledges support from Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal. A.Ribeiro was supported by National Funds through FCT, under the programme of ‘Stimulus of Scientific Employment—Individual Support’ within the contract no. info:eu-repo/grantAgreement/FCT/CEEC IND 2018/CEECIND/02386/2018/CP1538/CT0001/PT. S.Sajadi acknowledges colleagues at Global Burden of Diseases and Local Burden of Disease. A.M.S. acknowledges the support from the Egyptian Fulbright Mission Program. F.S. was supported by the Shenzhen Science and Technology Program (grant no. KQTD20190929172835662). A.Sheikh is supported by Health Data Research UK. B.K.S. acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for all the academic support. B.U. acknowledges support from Manipal Academy of Higher Education, Manipal. C.S.W. is supported by the South African Medical Research Council. Y.Z. was supported by Science and Technology Research Project of Hubei Provincial Department of Education (grant no. Q20201104) and Outstanding Young and Middle-aged Technology Innovation Team Project of Hubei Provincial Department of Education (grant no. T2020003). The funders of the study had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication. All maps presented in this study are generated by the authors and no permissions are required to publish them

    Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

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    Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations.Peer reviewe

    Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

    Get PDF
    Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations

    Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

    Get PDF

    Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000–2018

    Get PDF
    Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030

    HIV counseling and testing uptake among adults in Amhara region; North West Ethiopia

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    The future course of effective HIV/AIDS prevention and control depends on a number of factors. HIV Counseling and Testing (HCT) has been considered an essential service and a vital entry point in the management of HIV/AIDS; providing a continuum for HIV prevention and provision of care, treatment and support services. According to Ethiopian Demographic and Health Survey 2011, the national HIV counseling and testing uptake coverage was quite lower, only four in every ten Ethiopians know their HIV status. This study focused on uptake of HIV counseling and testing and its determinants in adults. A secondary data analysis was carried out on Ethiopian Demographic and Health Survey 2005 and 2011 records. In the study 6564 (age 15-49 years) study subjects were included. Spatial data of Amhara region was integrated and analyzed with data mining techniques. HIV testing uptake coverage was much lower (2%) in 2005 and raised to 37% in 2011. The coverage of HIV testing uptake in the region demonstrates significant increase; however, it is still reasonably lower. Lack of information about where to get HIV testing, low mass media exposure, discriminating attitude, rural residence and living far away from Health Centers and Hospitals were found to be major reasons. Concerned bodies need to focus more on information, education and communication interventions and universal accessibility of HIV counseling and testing service.Keywords: Amhara, Ethiopia, HIV Testing Uptake, Spatial distanc
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