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      Neurosurgical Equipment Donations: A Qualitative Study

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          Abstract

          Introduction

          Neurosurgical equipment donation from high-income countries (HICs) to low-and-middle income countries (LMICs) exists. However, there is currently no published literature on whether there is a need for neurosurgical equipment donations or how to design equipment donation programmes that meet the needs of LMIC neurosurgeons. The primary aims of this study were to explore: ( 1) the need for the donation of neurosurgical equipment from the UK and Ireland to LMICs within the African continent, and ( 2) the ways through which neurosurgical equipment donations could meet the needs of LMIC neurosurgeons.

          Methods

          This was a qualitative study using semi-structured, one-on-one, audio-recorded interviews. Purposive sampling was used to recruit and interview consultants or attending neurosurgeons from Ireland, the UK and LMICs in Africa in a continuous process until data saturation. Interviews were conducted by members of the Association of Future African Neurosurgeons during March 2021. Qualitative analysis used a thematic approach using open and axial coding.

          Results

          Five HIC and 3 LMIC neurosurgeons were interviewed. Five overarching themes were identified: ( 1) inequality of access to neurosurgical equipment, ( 2) identifying specific neurosurgical equipment needs, ( 3) importance of organisations, ( 4) partnerships between LMIC and HIC centres, and ( 5) donations are insufficient in isolation.

          Conclusion

          There is a need for greater access to neurosurgical equipment in LMICs. It is unclear if neurosurgical equipment donations are the optimal solution to this issue. Other solutions that are not linked to dependency need to be explored and executed. Collaborative relationships between LMICs and HICs better ensures that neurosurgical equipment donations meet the needs of the recipients. These relationships may be best created within an organisation framework that has the logistical capabilities of coordinating international equipment donation and providing a quality control measure.

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          Most cited references39

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          The Discovery of Grounded Theory

          <p>Most writing on sociological method has been concerned with how accurate facts can be obtained and how theory can thereby be more rigorously tested. In The Discovery of Grounded Theory, Barney Glaser and Anselm Strauss address the equally Important enterprise of how the discovery of theory from data--systematically obtained and analyzed in social research--can be furthered. The discovery of theory from data--grounded theory--is a major task confronting sociology, for such a theory fits empirical situations, and is understandable to sociologists and laymen alike. Most important, it provides relevant predictions, explanations, interpretations, and applications.</p><p>In Part I of the book, Generation Theory by Comparative Analysis, the authors present a strategy whereby sociologists can facilitate the discovery of grounded theory, both substantive and formal. This strategy involves the systematic choice and study of several comparison groups. In Part II, The Flexible Use of Data, the generation of theory from qualitative, especially documentary, and quantitative data Is considered. In Part III, Implications of Grounded Theory, Glaser and Strauss examine the credibility of grounded theory.</p><p>The Discovery of Grounded Theory is directed toward improving social scientists' capacity for generating theory that will be relevant to their research. While aimed primarily at sociologists, it will be useful to anyone Interested In studying social phenomena--political, educational, economic, industrial-- especially If their studies are based on qualitative data.</p></p>
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            Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

            Summary Background Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Methods Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0–100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Findings Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2–47·5) in 1990 to 60·3 (58·7–61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9–3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010–2019 relative to 1990–2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6–421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0–3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5–1040·3]) residing in south Asia. Interpretation The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people—the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close—or how far—all populations are in benefiting from UHC. Funding Bill & Melinda Gates Foundation.
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              Quality and trustworthiness in qualitative research in counseling psychology.

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                Author and article information

                Contributors
                Journal
                Front Surg
                Front Surg
                Front. Surg.
                Frontiers in Surgery
                Frontiers Media S.A.
                2296-875X
                20 January 2022
                2021
                : 8
                : 690910
                Affiliations
                [1] 1Department of Research, Association of Future African Neurosurgeons , Yaounde, Cameroon
                [2] 2Michael Chilufya Sata School of Medicine, Copperbelt University , Kitwe, Zambia
                Author notes

                Edited by: Ahmed Negida, Zagazig University, Egypt

                Reviewed by: Claire Karekezi, Rwanda Military Hospital, Rwanda; Vadim Byvaltsev, Irkutsk State Medical University, Russia

                *Correspondence: Dawin Sichimba dsichimba@ 123456gmail.com

                This article was submitted to Neurosurgery, a section of the journal Frontiers in Surgery

                †These authors share first authorship

                Article
                10.3389/fsurg.2021.690910
                8810520
                35127801
                9f7177d5-dc76-4d32-860a-5c8cda315824
                Copyright © 2022 Sichimba, Bandyopadhyay, Ciuculete, Erhabor, Kotecha, Egiz, Bankole, Higginbotham, Dalle and Kanmounye.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 April 2021
                : 28 December 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 44, Pages: 7, Words: 5563
                Categories
                Surgery
                Original Research

                neurosurgical,equipment,donations,donor,developing countries,uk,low-and-middle income countries (lmics)

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