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      Task-shifting for cardiovascular risk factor management: lessons from the Global Alliance for Chronic Diseases

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          Abstract

          Task-shifting to non-physician health workers (NPHWs) has been an effective model for managing infectious diseases and improving maternal and child health. There is inadequate evidence to show the effectiveness of NPHWs to manage cardiovascular diseases (CVDs). In 2012, the Global Alliance for Chronic Diseases funded eight studies which focused on task-shifting to NPHWs for the management of hypertension. We report the lessons learnt from the field. From each of the studies, we obtained information on the types of tasks shifted, the professional level from which the task was shifted, the training provided and the challenges faced. Additionally, we collected more granular data on ‘lessons learnt ’ throughout the implementation process and ‘design to implementation’ changes that emerged in each project. The tasks shifted to NPHWs included screening of individuals, referral to physicians for diagnosis and management, patient education for lifestyle improvement, follow-up and reminders for medication adherence and appointments. In four studies, tasks were shifted from physicians to NPHWs and in four studies tasks were shared between two different levels of NPHWs. Training programmes ranged between 3 and 7 days with regular refresher training. Two studies used clinical decision support tools and mobile health components. Challenges faced included system level barriers such as inability to prescribe medicines, varying skill sets of NPHWs, high workload and staff turnover. With the acute shortage of the health workforce in low-income and middle-income countries (LMICs), achieving better health outcomes for the prevention and control of CVD is a major challenge. Task-shifting or sharing provides a practical model for the management of CVD in LMICs.

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          Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015

          Summary Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography–year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, life expectancy from birth increased from 61·7 years (95% uncertainty interval 61·4–61·9) in 1980 to 71·8 years (71·5–72·2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11·3 years (3·7–17·4), to 62·6 years (56·5–70·2). Total deaths increased by 4·1% (2·6–5·6) from 2005 to 2015, rising to 55·8 million (54·9 million to 56·6 million) in 2015, but age-standardised death rates fell by 17·0% (15·8–18·1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-communicable diseases (NCDs), with total deaths from these causes increasing by 14·1% (12·6–16·0) to 39·8 million (39·2 million to 40·5 million) in 2015, whereas age-standardised rates decreased by 13·1% (11·9–14·3). Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias. By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and nutritional conditions significantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42·1%, 39·1–44·6), malaria (43·1%, 34·7–51·8), neonatal preterm birth complications (29·8%, 24·8–34·9), and maternal disorders (29·1%, 19·3–37·1). Progress was slower for several causes, such as lower respiratory infections and nutritional deficiencies, whereas deaths increased for others, including dengue and drug use disorders. Age-standardised death rates due to injuries significantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East. In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000–183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000–532 000), although pathogen-specific mortality varied by region. Globally, the effects of population growth, ageing, and changes in age-standardised death rates substantially differed by cause. Our analyses on the expected associations between cause-specific mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI. Country patterns of premature mortality (measured as years of life lost [YLLs]) and how they differ from the level expected on the basis of SDI alone revealed distinct but highly heterogeneous patterns by region and country or territory. Ischaemic heart disease, stroke, and diabetes were among the leading causes of YLLs in most regions, but in many cases, intraregional results sharply diverged for ratios of observed and expected YLLs based on SDI. Communicable, maternal, neonatal, and nutritional diseases caused the most YLLs throughout sub-Saharan Africa, with observed YLLs far exceeding expected YLLs for countries in which malaria or HIV/AIDS remained the leading causes of early death. Interpretation At the global scale, age-specific mortality has steadily improved over the past 35 years; this pattern of general progress continued in the past decade. Progress has been faster in most countries than expected on the basis of development measured by the SDI. Against this background of progress, some countries have seen falls in life expectancy, and age-standardised death rates for some causes are increasing. Despite progress in reducing age-standardised death rates, population growth and ageing mean that the number of deaths from most non-communicable causes are increasing in most countries, putting increased demands on health systems. Funding Bill & Melinda Gates Foundation.
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            The sustainability of new programs and innovations: a review of the empirical literature and recommendations for future research

            Background The introduction of evidence-based programs and practices into healthcare settings has been the subject of an increasing amount of research in recent years. While a number of studies have examined initial implementation efforts, less research has been conducted to determine what happens beyond that point. There is increasing recognition that the extent to which new programs are sustained is influenced by many different factors and that more needs to be known about just what these factors are and how they interact. To understand the current state of the research literature on sustainability, our team took stock of what is currently known in this area and identified areas in which further research would be particularly helpful. This paper reviews the methods that have been used, the types of outcomes that have been measured and reported, findings from studies that reported long-term implementation outcomes, and factors that have been identified as potential influences on the sustained use of new practices, programs, or interventions. We conclude with recommendations and considerations for future research. Methods Two coders identified 125 studies on sustainability that met eligibility criteria. An initial coding scheme was developed based on constructs identified in previous literature on implementation. Additional codes were generated deductively. Related constructs among factors were identified by consensus and collapsed under the general categories. Studies that described the extent to which programs or innovations were sustained were also categorized and summarized. Results Although "sustainability" was the term most commonly used in the literature to refer to what happened after initial implementation, not all the studies that were reviewed actually presented working definitions of the term. Most study designs were retrospective and naturalistic. Approximately half of the studies relied on self-reports to assess sustainability or elements that influence sustainability. Approximately half employed quantitative methodologies, and the remainder employed qualitative or mixed methodologies. Few studies that investigated sustainability outcomes employed rigorous methods of evaluation (e.g., objective evaluation, judgement of implementation quality or fidelity). Among those that did, a small number reported full sustainment or high fidelity. Very little research has examined the extent, nature, or impact of adaptations to the interventions or programs once implemented. Influences on sustainability included organizational context, capacity, processes, and factors related to the new program or practice themselves. Conclusions Clearer definitions and research that is guided by the conceptual literature on sustainability are critical to the development of the research in the area. Further efforts to characterize the phenomenon and the factors that influence it will enhance the quality of future research. Careful consideration must also be given to interactions among influences at multiple levels, as well as issues such as fidelity, modification, and changes in implementation over time. While prospective and experimental designs are needed, there is also an important role for qualitative research in efforts to understand the phenomenon, refine hypotheses, and develop strategies to promote sustainment.
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              Effectiveness of community health workers delivering preventive interventions for maternal and child health in low- and middle-income countries: a systematic review

              Background Community Health Workers are widely utilised in low- and middle-income countries and may be an important tool in reducing maternal and child mortality; however, evidence is lacking on their effectiveness for specific types of programmes, specifically programmes of a preventive nature. This review reports findings on a systematic review analysing effectiveness of preventive interventions delivered by Community Health Workers for Maternal and Child Health in low- and middle-income countries. Methods A search strategy was developed according to the Evidence for Policy and Practice Information and Co-ordinating Centre’s (EPPI-Centre) guidelines and systematic searching of the following databases occurred between June 8 – 11th, 2012: CINAHL, Embase, Ovid Nursing Database, PubMed, Scopus, Web of Science and POPLINE. Google, Google Scholar and WHO search engines, as well as relevant systematic reviews and reference lists from included articles were also searched. Inclusion criteria were: i) Target beneficiaries should be pregnant or recently pregnant women and/or children under-5 and/or caregivers of children under-5; ii) Interventions were required to be preventive and delivered by Community Health Workers at the household level. No exclusion criteria were stipulated for comparisons/controls or outcomes. Study characteristics of included articles were extracted using a data sheet and a peer tested quality assessment. A narrative synthesis of included studies was compiled with articles being coded descriptively to synthesise results and draw conclusions. Results A total of 10,281 studies were initially identified and through the screening process a total of 17 articles detailing 19 studies were included in the review. Studies came from ten different countries and consisted of randomized controlled trials, cluster randomized controlled trials, before and after, case control and cross sectional studies. Overall quality of evidence was found to be moderate. Five main preventive intervention categories emerged: malaria prevention, health education, breastfeeding promotion, essential newborn care and psychosocial support. All categories showed some evidence for the effectiveness of Community Health Workers; however they were found to be especially effective in promoting mother-performed strategies (skin to skin care and exclusive breastfeeding). Conclusions Community Health Workers were shown to provide a range of preventive interventions for Maternal and Child Health in low- and middle-income countries with some evidence of effective strategies, though insufficient evidence is available to draw conclusions for most interventions and further research is needed.
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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
                8 November 2018
                : 3
                : Suppl 3
                : e001092
                Affiliations
                [1 ] departmentThe George Institute for Global Health , University of New South Wales , Camperdown, New South Wales, Australia
                [2 ] departmentStroke and Ageing Research Department of Medicine, School of Clinical Sciences , Monash University , Clayton, Victoria, Australia
                [3 ] departmentDepartment of Medicine , Queen’s University , Kingston, Ontario, Canada
                [4 ] departmentDepartment of Psychology , Queen’s University , Kingston, Ontario, Canada
                [5 ] The George Institute for Global Health , Hyderabad, India
                [6 ] departmentDepartment of Population Health , New York University School of Medicine , New York City, New York, USA
                [7 ] departmentPopulation Health Research Institute , McMaster University , Hamilton, Ontario, Canada
                [8 ] departmentCentre for Health Policy, School of Public Health , University of Witwatersrand , Johannesburg, South Africa
                [9 ] Minister of Health , Buenos Aires, Argentina
                [10 ] departmentInstitute for Global Health , University College London , London, UK
                [11 ] departmentDepartment of Medicine , Komfo Anokye Teachings Hospital , Kumasi, Ghana
                [12 ] Monash University , Clayton, Victoria, Australia
                [13 ] departmentAchutha Menon Centre , Sree Chitra Tirunal Institute for Medical Sciences and Technology , Thiruvananthapuram, Kerala, India
                [14 ] departmentWarwick Medical School , University of Warwick , Coventry, UK
                [15 ] departmentDepartment of Global Health, College of Global Public Health , New York University , New York City, New York, USA
                Author notes
                [Correspondence to ] Dr Rohina Joshi; rjoshi@ 123456georgeinstitute.org.au
                Article
                bmjgh-2018-001092
                10.1136/bmjgh-2018-001092
                6231102
                30483414
                abb94678-dc00-4386-9e9f-31bb08cbb9b3
                © Author(s) (or their employer(s)) 2018. 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
                : 06 August 2018
                : 05 October 2018
                : 06 October 2018
                Funding
                Funded by: Canadian Institutes of Health Research;
                Award ID: 120389
                Funded by: Grand Challenges Canada;
                Award ID: 0069-04, and 0070-04
                Funded by: United Kingdom Medical Research Council;
                Award ID: APP 1040179, APP 1041052, and J01 60201
                Funded by: Australian National Health and Medical Research Council;
                Award ID: ID 1040147, and 104018
                Funded by: US National Institutes of Health;
                Award ID: U01 HL114200, U01 NS079179, and U01 HL114180
                Categories
                Analysis
                1506
                Custom metadata
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                implementation science,task shifting,cardiovascular disease,hypertension,non-communicable diseases

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