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      Patterns of authorship on community health workers in low-and-middle-income countries: an analysis of publications (2012–2016)

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          Abstract

          Introduction

          Studies of authorship provide a barometer of local research capacity and ownership of research, considered key to defining appropriate research priorities, developing contextualised responses to health problems and ensuring that research informs policy and practice. This paper reports on an analysis of patterns of research authorship of the now substantial literature on community health workers (CHWs) in low-and-middle-income countries (LMICs) for the 5-year period: 2012–2016.

          Methods

          A search of five databases identified a total of 649 indexed publications reporting on CHWs in LMICs and meeting the inclusion criteria. The country, region and income classification of studies, affiliations (country, organisation) of lead (first) and last authors, proportions of all authors locally affiliated, programme area (eg, maternal child health) and funding source were extracted.

          Results

          The 649 papers reported experiences from 51 countries, 55% from middle-income countries (MICs) and 32% from low-income countries (LICs), with the remaining 13% multicountry studies. Overall, 47% and 54% of all the papers had a high-income country (HIC) lead and last author, respectively. Authorship followed three patterns: (1) a concentrated HIC pattern, with US-based authors numerically dominating LIC-based and multicountry studies; (2) an MIC pattern of autonomy, with a handful of countries—India, South Africa and Brazil, in particular—leading >70% of their CHW publications and (3) a pattern of unevenness among LICs in their lead authorship of publications varying from 14% (Malawi) to 54% (Uganda). Region, programme area and funding source were all associated with the distribution of authorship across country income categories.

          Conclusion

          The findings in this analysis mirror closely that of other authorship studies in global health. Collectively these provide a common message—that investments in global health programmes in the Millennium Development Goal era may have benefited health but not necessarily capacity for knowledge generation in LMICs.

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          Most cited references22

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          Outcomes associated with matching patients' treatment preferences to physicians' recommendations: study methodology

          Background Patients often express strong preferences for the forms of treatment available for their disease. Incorporating these preferences into the process of treatment decision-making might improve patients' adherence to treatment, contributing to better outcomes. We describe the methodology used in a study aiming to assess treatment outcomes when patients' preferences for treatment are closely matched to recommended treatments. Method Participants included patients with moderate and severe psoriasis attending outpatient dermatology clinics at the University Medical Centre Mannheim, University of Heidelberg, Germany. A self-administered online survey used conjoint analysis to measure participants' preferences for psoriasis treatment options at the initial study visit. Physicians' treatment recommendations were abstracted from each participant's medical records. The Preference Matching Index (PMI), a measure of concordance between the participant's preferences for treatment and the physician's recommended treatment, was determined for each participant at t1 (initial study visit). A clinical outcome measure, the Psoriasis Area and Severity Index, and two participant-derived outcomes assessing treatment satisfaction and health related quality of life were employed at t1, t2 (twelve weeks post-t1) and t3 (twelve weeks post-t2). Change in outcomes was assessed using repeated measures analysis of variance. The association between participants' PMI scores at t1 and outcomes at t2 and t3 was evaluated using multivariate regressions analysis. Discussion We describe methods for capturing concordance between patients' treatment preferences and recommended treatment and for assessing its association with specific treatment outcomes. The methods are intended to promote the incorporation of patients' preferences in treatment decision-making, enhance treatment satisfaction, and improve treatment effectiveness through greater adherence.
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            Health research capacity development in low and middle income countries: reality or rhetoric? A systematic meta-narrative review of the qualitative literature

            Objectives Locally led health research in low and middle income countries (LMICs) is critical for overcoming global health challenges. Yet, despite over 25 years of international efforts, health research capacity in LMICs remains insufficient and development attempts continue to be fragmented. The aim of this systematic review is to identify and critically examine the main approaches and trends in health research capacity development and consolidate key thinking to identify a more coherent approach. Methods This review includes academic and grey literature published between January 2000 and July 2013. Using a predetermined search strategy, we systematically searched PubMed, hand-searched Google Scholar and checked reference lists. This process yielded 1668 papers. 240 papers were selected based on a priori criteria. A modified version of meta-narrative synthesis was used to analyse the papers. Results 3 key narratives were identified: the effect of power relations on capacity development; demand for stronger links between research, policy and practice and the importance of a systems approach. Capacity development was delivered through 4 main modalities: vertical research projects, centres of excellence, North–South partnerships and networks; all were controversial, and each had their strengths and weaknesses. A plurality of development strategies was employed to address specific barriers to health research. However, lack of empirical research and monitoring and evaluation meant that their effectiveness was unclear and learning was weak. Conclusions There has been steady progress in LMIC health research capacity, but major barriers to research persist and more empirical evidence on development strategies is required. Despite an evolution in development thinking, international actors continue to use outdated development models that are recognised as ineffective. To realise newer development thinking, research capacity outcomes need to be equally valued as research outputs. While some development actors are now adopting this dedicated capacity development approach, they are in the minority.
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              Moving to research partnerships in developing countries.

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                Author and article information

                Journal
                BMJ Glob Health
                BMJ Glob Health
                bmjgh
                bmjgh
                BMJ Global Health
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2059-7908
                2018
                9 May 2018
                : 3
                : 3
                : e000797
                Affiliations
                [1 ]departmentSchool of Public Health and SAMRC/UWC Health Services to Systems Research Unit , University of the Western Cape , Cape Town, South Africa
                [2 ]departmentSchool of Public Health , University of the Western Cape , Cape Town, South Africa
                Author notes
                [Correspondence to ] Professor Helen Schneider; hschneider@ 123456uwc.ac.za
                Author information
                http://orcid.org/0000-0002-0418-1828
                Article
                bmjgh-2018-000797
                10.1136/bmjgh-2018-000797
                5950650
                ccb3aeab-a30c-4e9e-9834-17e66c609388
                © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 24 February 2018
                : 23 March 2018
                : 06 April 2018
                Funding
                Funded by: South African Research Chairs Initiative of the Department of Science and Technology and National Research Foundation of South Africa;
                Categories
                Research
                1506
                Custom metadata
                unlocked

                descriptive study,health systems,health services research

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