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      Addressing the information deficit in global health: lessons from a digital acute care platform in Sri Lanka

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          Abstract

          Lack of investment in low-income and middle-income countries (LMICs) in systems capturing continuous information regarding care of the acutely unwell patient is hindering global efforts to address inequalities, both at facility and national level. Furthermore, this of lack of data is disempowering frontline staff and those seeking to support them, from progressing setting-relevant research and quality improvement. In contrast to high-income country (HIC) settings, where electronic surveillance has boosted the capability of governments, clinicians and researchers to engage in service-wide healthcare evaluation, healthcare information in resource-limited settings remains almost exclusively paper based. In this practice paper, we describe the efforts of a collaboration of clinicians, administrators, researchers and healthcare informaticians working in South Asia, in addressing the inequality in access to patient information in acute care. Harnessing a clinician-led collaborative approach to design and evaluation, we have implemented a national acute care information platform in Sri Lanka that is tailored to priorities of frontline staff. Iterative adaptation has ensured the platform has the flexibility to integrate with legacy paper systems, support junior team members in advocating for acutely unwell patients and has made information captured accessible to diverse stakeholders to improve service delivery. The same platform is now empowering clinicians to participate in international research and drive forwards improvements in care. During this journey, we have also gained insights on how to overcome well-described barriers to implementation of digital information tools in LMIC. We anticipate that this north–south collaborative approach to addressing the challenges of health system implementation in acute care may provide learning and inspiration to other partnerships seeking to engage in similar work.

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          Overcoming health-systems constraints to achieve the Millennium Development Goals.

          Effective interventions exist for many priority health problems in low income countries; prices are falling, and funds are increasing. However, progress towards agreed health goals remains slow. There is increasing consensus that stronger health systems are key to achieving improved health outcomes. There is much less agreement on quite how to strengthen them. Part of the challenge is to get existing and emerging knowledge about more (and less) effective strategies into practice. The evidence base also remains remarkably weak, partly because health-systems research has an image problem. The forthcoming Ministerial Summit on Health Research seeks to help define a learning agenda for health systems, so that by 2015, substantial progress will have been made to reducing the system constraints to achieving the MDGs.
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            Association of the Quick Sequential (Sepsis-Related) Organ Failure Assessment (qSOFA) Score With Excess Hospital Mortality in Adults With Suspected Infection in Low- and Middle-Income Countries

            Question What is the association between the quick Sequential (Sepsis-Related) Organ Failure Assessment (qSOFA) score and excess hospital mortality, as a marker of sepsis or analogous severe infectious course, in patients with suspected infection in low- and middle-income countries (LMICs)? Findings In this retrospective secondary analysis of 9 diverse LMIC cohorts that included 6569 hospitalized adults with suspected infection, a qSOFA score greater than or equal to 2 was significantly associated with increased likelihood of excess hospital death compared with a lower score (odds ratio, 3.6). Meaning The qSOFA score may help identify patients at higher risk for excess hospital mortality among adults with suspected infection in LMICs. Importance The quick Sequential (Sepsis-Related) Organ Failure Assessment (qSOFA) score has not been well-evaluated in low- and middle-income countries (LMICs). Objective To assess the association of qSOFA with excess hospital death among patients with suspected infection in LMICs and to compare qSOFA with the systemic inflammatory response syndrome (SIRS) criteria. Design, Settings, and Participants Retrospective secondary analysis of 8 cohort studies and 1 randomized clinical trial from 2003 to 2017. This study included 6569 hospitalized adults with suspected infection in emergency departments, inpatient wards, and intensive care units of 17 hospitals in 10 LMICs across sub-Saharan Africa, Asia, and the Americas. Exposures Low (0), moderate (1), or high (≥2) qSOFA score (range, 0 [best] to 3 [worst]) or SIRS criteria (range, 0 [best] to 4 [worst]) within 24 hours of presentation to study hospital. Main Outcomes and Measures Predictive validity (measured as incremental hospital mortality beyond that predicted by baseline risk factors, as a marker of sepsis or analogous severe infectious course) of the qSOFA score (primary) and SIRS criteria (secondary). Results The cohorts were diverse in enrollment criteria, demographics (median ages, 29-54 years; males range, 36%-76%), HIV prevalence (range, 2%-43%), cause of infection, and hospital mortality (range, 1%-39%). Among 6218 patients with nonmissing outcome status in the combined cohort, 643 (10%) died. Compared with a low or moderate score, a high qSOFA score was associated with increased risk of death overall (19% vs 6%; difference, 13% [95% CI, 11%-14%]; odds ratio, 3.6 [95% CI, 3.0-4.2]) and across cohorts ( P  < .05 for 8 of 9 cohorts). Compared with a low qSOFA score, a moderate qSOFA score was also associated with increased risk of death overall (8% vs 3%; difference, 5% [95% CI, 4%-6%]; odds ratio, 2.8 [95% CI, 2.0-3.9]), but not in every cohort ( P  < .05 in 2 of 7 cohorts). High, vs low or moderate, SIRS criteria were associated with a smaller increase in risk of death overall (13% vs 8%; difference, 5% [95% CI, 3%-6%]; odds ratio, 1.7 [95% CI, 1.4-2.0]) and across cohorts ( P  < .05 for 4 of 9 cohorts). qSOFA discrimination (area under the receiver operating characteristic curve [AUROC], 0.70 [95% CI, 0.68-0.72]) was superior to that of both the baseline model (AUROC, 0.56 [95% CI, 0.53-0.58; P  < .001) and SIRS (AUROC, 0.59 [95% CI, 0.57-0.62]; P  < .001). Conclusions and Relevance When assessed among hospitalized adults with suspected infection in 9 LMIC cohorts, the qSOFA score identified infected patients at risk of death beyond that explained by baseline factors. However, the predictive validity varied among cohorts and settings, and further research is needed to better understand potential generalizability. This pooled cohort analysis assesses the association of quick Sequential (Sepsis-Related Organ Failure Assessment (qSOFA) score with excess hospital death among patients with suspected infection in low- to middle-income countries and compares the mortality association using qSOFA vs systemic inflammatory response syndrome (SIRS) criteria.
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              Need for more and better implementation science in global health

              ‘We know what we have to do, but we don't know how to do it’ has been a recurring comment among global health actors for a long time. In 2010, for example, the United Nations affirmed that ‘we know what works’1 in taking care of the health of women and children. The WHO Commission on the Social Determinants of Health (2008) has highlighted effective interventions to improve the health of populations and to establish health equity.2 However, while the content of interventions, which are theoretically effective, are relatively well known, their level of coverage is weak.3 Furthermore, the conditions of their implementation are less understood. An old meta-analysis shows that the potential effectiveness of interventions is reduced by 50% because of multiple contextual factors which act against the implementation.4 Therefore, it is not enough to know if a health intervention is effective; it is also necessary to understand why the intervention works, how, for whom and in which contexts. It is here where implementation science is an undeniable aid. In this editorial, the focus will not be on the controversies concerning the definition of implementation science or the academic arguments made in order to appropriate or better sell the training of implementation science. Essentially, what is of interest is to call on the community of students, researchers, implementers and donors to commit themselves to further and a better quality research in order to have a greater understanding of how to implement health interventions. To quote Joseph Durlak, an important author in this field, ‘studying programme implementation is not easy but it is essential’.5 Implementation is comprised of one or several processes organised in a particular context so as to bring about the desired changes of an intervention (whether policy, programme or project) through the means necessary to deploy it. Implementation science is about mobilising theories, concepts and methods to better ‘understand what, why, and how interventions work in ‘real world’ settings’.6 There is a movement away from implementation research, which is centred on analysing the way interventions consider evidence, a field that is close to knowledge transfer, which is also not fully developed in low and middle income countries (LMICs).7 However, we do agree with the fact that ‘research in both fields deals with the challenges of translating intentions into desired changes’.8 A meeting of major journal editors has been organized by the Canadian Institutes of Health Research Institute of Population and Public Health and the Canadian Journal of Public Health in April 2016 (http://sparkingsolutions.ca). They will soon launch the Ottawa Statement to promote publications in the field of population health intervention research. BMJ Global Health wishes to participate in the development of implementation science but with a focus on equity and on a better adaptation and/or creation of theoretical, conceptual and methodological approaches in the context of LMICs. In fact, a review of writings (1933–2003) concerning research on the implementation of public policies shows that only 4% concerned Africa, 2% Latin America and 15% was on health.9 The author of this review clearly highlighted ‘the ethnocentric bias in implementation studies’.9 This observation was confirmed in another analysis (1986–2006) of research in public policies in the field of health promotion: ‘all the most authoritative conceptualizations mentioned here were modelled on Western-style democratic governance systems’.10 Two rapid bibliographic searches using Pubmed database show an important increase of papers about global health and implementation since 1970, but implementation still concern just around 5% (figure 1). Therefore, there is an urgency to act, since both analyses confirm that we are far from having a body of theories, frameworks and approaches which is sufficient for the in-depth study of the implementation of interventions;9 11 12 interventions which still need to be largely ‘tested and operationalised in real-world settings’.13 Figure 1 Global health and implementation science papers from 1970 to 2015. Two rapid bibliographic searches using PubMed database were performed. Search 1, in order to obtain all references about global health, the following was used: [Global health (MeSH, major topic) OR international health (title / abstract)], given that the MeSH term was introduced only recently. In order to exclude interventions studies about pharmaceutical treatment, the following terms were added: NOT [pharmaceutic (Title/Abstract) OR drug (Title/Abstract) OR vaccine (Title/Abstract)]. Results of search 1 are presented with the black line (left axis) per year since 1970. Search 2, in order to extract in these results, studies focusing on implementation science, the following terms were added: AND [implementation (Title/Abstract)]. Results of search 2 are presented with the red line (left axis) per year since 1970. In the blue dotted line (right axis) the calculated percentage of references focusing on implementation science (search 2) in the global health area of research (search 1).Data analysis performed by Stéphanie Degroote. This urgency should not be taken lightly. It is important that implementation studies in LMICs adhere to what is often called the third generation, which uses more rigorous research design.14 While global health actors appear to have discovered implementation science recently,15 it was actually mobilised at least more than 30 years ago by political science researchers.9 It is not necessary in this editorial to discuss the history of the analysis of intervention implementation8 9 11 which should be better understood (and thus better taught16) and used by those who study implementation. However, research on global health implementation should better exploit the theories, conceptual frameworks and approaches of the social sciences.12 As essential as the inductive and empirical approaches may be, recourse or contribution to theoretical and conceptual development is as important, if not even more.17 As a reminder, among the health promotion studies which analysed public policy, only 18% made reference to a theoretical framework.18 Studies showed that Kingdon's stream theory19 along with Lipsky's street-level bureaucrats20 and Rogers’ innovation theory,21 which were all developed in the USA, could also have been adapted in the context of certain LMICs in order to better understand implementation. Additionally, the role of ideas in the implementation (rather than the emergence) of interventions in LMICs have not really been tackled,22 whereas the writings on high-income countries in this regard have been abundant.23 Implementation science clearly cannot be developed alone without considering the effects of interventions (or the principles of effectiveness, to borrow from Patton's words24), because it risks falling into ‘type 3 error’, where an intervention is evaluated even though it has not yet been implemented as anticipated.25 Thus it is important to better describe the content of interventions using available tools26 27 and to report on the (classic) fidelity and intensity of implementation. It is also necessary to update the adjustments of interventions—inevitable in a natural context—and the fidelity of the theory.28 29 It is in this contextual and holistic research approach that we should conduct and report implementation science. The recurrence of several types of interventions in many settings, the links between the effects (expected or not), the processes, the actors and their context should be brought to light, notably with the theoretical approach of critical realism, which is still not well-tested in LMICs.30 Critical theory could be used to better understand power relations. Individual relations and the role that context plays in the matter should be studied to understand, for example, the heterogeneity of effects in the implementation of interventions.31 When not forgotten, contextual analysis specifically associated with interventions is often the poor parent.32 The use and presentation of methods should also be considered in developing this field by making it more credible to those who think that qualitative research or the flexible approach to research design,33 34 which are integral parts of implementation science, are not rigorous enough. For this, it is necessary that authors are more precise in the description of their methods of qualitative sampling and of their analysis procedures. Beyond these interdisciplinary, boundary-spanning approaches, which are necessary in global health,35 36 the recourse to mixed methods and to multiple case studies, if longitudinally possible, would be a major benefit for implementation science.14 It is certainly time to seriously consider the charge which was made almost 10 years ago on policy research in LMICs: ‘more work on implementation, and specifically, the challenges of implementing equity-oriented policies, as well as more examination of successful policy change experiences’.37 We invite authors to participate in this by proposing and submitting implementation science articles to BMJ Global Health.
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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
                2019
                29 January 2019
                : 4
                : 1
                : e001134
                Affiliations
                [1 ] Network for Improving Critical Care Systems and Training , Colombo, Sri Lanka
                [2 ] Mahidol Oxford Tropical Research Unit , Bangkok, Thailand
                [3 ] departmentNational Intensive Care Surveillance , Ministry of Health , Colombo, Sri Lanka
                [4 ] Ministry of Health , Colombo, Sri Lanka
                [5 ] departmentDepartment of Medicine, Faculty of Medicine , University of Colombo , Colombo, Sri Lanka
                [6 ] departmentDepartment of Surgery , Faculty of Medicine, University of Colombo , Colombo, Sri Lanka
                [7 ] Information and Communication Technology Agency of Sri Lanka , Columbo, Sri Lanka
                Author notes
                [Correspondence to ] Ms Abi Beane; abi@ 123456nicslk.com
                Article
                bmjgh-2018-001134
                10.1136/bmjgh-2018-001134
                6352842
                30775004
                792cca4c-0d17-4b02-8e86-4b1b9ea11d48
                © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 22 August 2018
                : 08 December 2018
                : 13 December 2018
                Funding
                Funded by: National Science Foundation, Sri Lanka;
                Categories
                Practice
                1506
                Custom metadata
                unlocked

                health services research,health systems,health informatics

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