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      Hospital Mortality – a neglected but rich source of information supporting the transition to higher quality health systems in low and middle income countries

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          Abstract

          Background

          There is increasing focus on the strength of primary health care systems in low and middle-income countries (LMIC). There are important roles for higher quality district hospital care within these systems. These hospitals are also sources of information of considerable importance to health systems, but this role, as with the wider roles of district hospitals, has been neglected.

          Key messages

          As we make efforts to develop higher quality health systems in LMIC we highlight the critical importance of district hospitals focusing here on how data on hospital mortality offers value: i) in understanding disease burden; ii) as part of surveillance and impact monitoring; iii) as an entry point to exploring system failures; and iv) as a lens to examine variability in health system performance and possibly as a measure of health system quality in its own right. However, attention needs paying to improving data quality by addressing reporting gaps and cause of death reporting. Ideally enabling the collection of basic, standardised patient level data might support at least simple case-mix and case-severity adjustment helping us understand variation. Better mortality data could support impact evaluation, benchmarking, exploration of links between health system inputs and outcomes and critical scrutiny of geographic variation in quality and outcomes of care. Improved hospital information is a neglected but broadly valuable public good.

          Conclusion

          Accurate, complete and timely hospital mortality reporting is a key attribute of a functioning health system. It can support countries’ efforts to transition to higher quality health systems in LMIC enabling national and local advocacy, accountability and action.

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          Most cited references21

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          A scandal of invisibility: making everyone count by counting everyone.

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            Determinants of the decline in mortality from acute myocardial infarction in England between 2002 and 2010: linked national database study

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              Quality of care, risk management, and technology in obstetrics to reduce hospital-based maternal mortality in Senegal and Mali (QUARITE): a cluster-randomised trial.

              Maternal mortality is higher in west Africa than in most industrialised countries, so the development and validation of effective interventions is essential. We did a trial to assess the effect of a multifaceted intervention to promote maternity death reviews and onsite training in emergency obstetric care in referral hospitals with high maternal mortality rates in Senegal and Mali. We did a pragmatic cluster-randomised controlled trial, with hospitals as the units of randomisation and patients as the unit of analysis. 46 public first-level and second-level referral hospitals with more than 800 deliveries a year were enrolled, stratified by country and hospital type, and randomly assigned to either the intervention group (n=23) or the control group with no external intervention (n=23). All women who delivered in each of the participating facilities during the baseline and post-intervention periods were included. The intervention, implemented over a period of 2 years at the hospital level, consisted of an initial interactive workshop and quarterly educational clinically-oriented and evidence-based outreach visits focused on maternal death reviews and best practices implementation. The primary outcome was reduction of risk of hospital-based mortality. Analysis was by intention-to-treat and relied on the generalised estimating equations extension of the logistic regression model to account for clustering of women within hospitals. This study is registered with ClinicalTrials.gov, number ISRCTN46950658. 191,167 patients who delivered in the participating hospitals were analysed (95,931 in the intervention groups and 95,236 in the control groups). Overall, mortality reduction in intervention hospitals was significantly higher than in control hospitals (odds ratio [OR] 0·85, 95% CI 0·73-0·98, p=0·0299), but this effect was limited to capital and district hospitals, which mainly acted as first-level referral hospitals in this trial. There was no effect in second-level referral (regional) hospitals outside the capitals (OR 1·02, 95% CI 0·79-1·31, p=0·89). No hospitals were lost to follow-up. Concrete actions were implemented comprehensively to improve quality of care in intervention hospitals. Regular visits by a trained external facilitator and onsite training can provide health-care professionals with the knowledge and confidence to make quality improvement suggestions during audit sessions. Maternal death reviews, combined with best practices implementation, are effective in reducing hospital-based mortality in first-level referral hospitals. Further studies are needed to determine whether the benefits of the intervention are generalisable to second-level referral hospitals. Canadian Institutes of Health Research. Copyright © 2013 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                menglish@kemri-wellcome.org
                pmwaniki@kemri-wellcome.org
                tjulius@kemri-wellcome.org
                mchepkirui@kemri-wellcome.org
                dgathara@kemri-wellcome.org
                pouma@kemri-wellcome.org
                pcheru2013@gmail.com
                eokiro@kemri-wellcome.org
                rsnow@kemri-wellcome.org
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                1 March 2018
                1 March 2018
                2018
                : 16
                : 32
                Affiliations
                [1 ]ISNI 0000 0001 0155 5938, GRID grid.33058.3d, KEMRI-Wellcome Trust Research Programme, ; P.O. Box 43640, Nairobi, 00100 Kenya
                [2 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, ; Oxford, UK
                [3 ]GRID grid.415727.2, Department of Preventive and Promotive Health, , Ministry of Health, ; Nairobi, Kenya
                Author information
                http://orcid.org/0000-0002-7427-0826
                Article
                1024
                10.1186/s12916-018-1024-8
                5833062
                29495961
                30b38ae5-1d7a-451c-8321-895dbb984102
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 18 November 2017
                : 9 February 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 097170
                Award ID: 201866
                Award ID: 103602
                Award ID: 107769
                Award Recipient :
                Funded by: DFID
                Award ID: 203155
                Award Recipient :
                Categories
                Debate
                Custom metadata
                © The Author(s) 2018

                Medicine
                Medicine

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