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Baier N, Pieper J, Schweikart J, Busse R, Vogt V. Capturing modelled and perceived spatial access to ambulatory health care services in rural and urban areas in Germany. Soc Sci Med 2020; 265:113328. [PMID: 32916432 DOI: 10.1016/j.socscimed.2020.113328] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 07/22/2020] [Accepted: 08/20/2020] [Indexed: 11/29/2022]
Abstract
Studies on social and regional inequalities in access to health care often use spatial indicators such as physician density to measure access to health care. However, the concept of access is more complex, comprising, among others, patient perceptions. In this study, we evaluate the association between different spatial measures of access (i.e. physician density, distance to the nearest provider, and measures based on floating catchment area methods) and measures of perceived spatial access to ambulatory health care in rural and urban areas in Germany. Using correlation and regression analysis, we found that the significance and strength of the relation between perceived and modelled spatial access depends on the type of area and the physician group. The distance to the nearest physician is associated with perceived spatial access to GPs only in rural areas but not in urban areas. More sophisticated measures of spatial access seem not to explain perceived access better than the simpler indicators.
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Millar JE, Busse R, Fraser JF, Karagiannidis C, McAuley DF. Apples and oranges: international comparisons of COVID-19 observational studies in ICUs. THE LANCET RESPIRATORY MEDICINE 2020; 8:952-953. [PMID: 32835653 PMCID: PMC7442432 DOI: 10.1016/s2213-2600(20)30368-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 08/12/2020] [Indexed: 12/16/2022]
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Karagiannidis C, Mostert C, Hentschker C, Voshaar T, Malzahn J, Schillinger G, Klauber J, Janssens U, Marx G, Weber-Carstens S, Kluge S, Pfeifer M, Grabenhenrich L, Welte T, Busse R. Case characteristics, resource use, and outcomes of 10 021 patients with COVID-19 admitted to 920 German hospitals: an observational study. THE LANCET RESPIRATORY MEDICINE 2020; 8:853-862. [PMID: 32735842 PMCID: PMC7386882 DOI: 10.1016/s2213-2600(20)30316-7] [Citation(s) in RCA: 519] [Impact Index Per Article: 129.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 07/08/2020] [Accepted: 07/08/2020] [Indexed: 02/09/2023]
Abstract
Background Nationwide, unbiased, and unselected data of hospitalised patients with COVID-19 are scarce. Our aim was to provide a detailed account of case characteristics, resource use, and outcomes of hospitalised patients with COVID-19 in Germany, where the health-care system has not been overwhelmed by the pandemic. METHODS In this observational study, adult patients with a confirmed COVID-19 diagnosis, who were admitted to hospital in Germany between Feb 26 and April 19, 2020, and for whom a complete hospital course was available (ie, the patient was discharged or died in hospital) were included in the study cohort. Claims data from the German Local Health Care Funds were analysed. The data set included detailed information on patient characteristics, duration of hospital stay, type and duration of ventilation, and survival status. Patients with adjacent completed hospital stays were grouped into one case. Patients were grouped according to whether or not they had received any form of mechanical ventilation. To account for comorbidities, we used the Charlson comorbidity index. FINDINGS Of 10 021 hospitalised patients being treated in 920 different hospitals, 1727 (17%) received mechanical ventilation (of whom 422 [24%] were aged 18-59 years, 382 [22%] were aged 60-69 years, 535 [31%] were aged 70-79 years, and 388 [23%] were aged ≥80 years). The median age was 72 years (IQR 57-82). Men and women were equally represented in the non-ventilated group, whereas twice as many men than women were in the ventilated group. The likelihood of being ventilated was 12% for women (580 of 4822) and 22% for men (1147 of 5199). The most common comorbidities were hypertension (5575 [56%] of 10 021), diabetes (2791 [28%]), cardiac arrhythmia (2699 [27%]), renal failure (2287 [23%]), heart failure (1963 [20%]), and chronic pulmonary disease (1358 [14%]). Dialysis was required in 599 (6%) of all patients and in 469 (27%) of 1727 ventilated patients. The Charlson comorbidity index was 0 for 3237 (39%) of 8294 patients without ventilation, but only 374 (22%) of 1727 ventilated patients. The mean duration of ventilation was 13·5 days (SD 12·1). In-hospital mortality was 22% overall (2229 of 10 021), with wide variation between patients without ventilation (1323 [16%] of 8294) and with ventilation (906 [53%] of 1727; 65 [45%] of 145 for non-invasive ventilation only, 70 [50%] of 141 for non-invasive ventilation failure, and 696 [53%] of 1318 for invasive mechanical ventilation). In-hospital mortality in ventilated patients requiring dialysis was 73% (342 of 469). In-hospital mortality for patients with ventilation by age ranged from 28% (117 of 422) in patients aged 18-59 years to 72% (280 of 388) in patients aged 80 years or older. INTERPRETATION In the German health-care system, in which hospital capacities have not been overwhelmed by the COVID-19 pandemic, mortality has been high for patients receiving mechanical ventilation, particularly for patients aged 80 years or older and those requiring dialysis, and has been considerably lower for patients younger than 60 years. FUNDING None.
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Ex P, Vogt V, Busse R, Henschke C. The reimbursement of new medical technologies in German inpatient care: What factors explain which hospitals receive innovation payments? HEALTH ECONOMICS, POLICY, AND LAW 2020; 15:355-369. [PMID: 31159902 DOI: 10.1017/s1744133119000124] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Most hospital payment systems based on diagnosis-related groups (DRGs) provide payments for newly approved technologies. In Germany, they are negotiated between individual hospitals and health insurances. The aim of our study is to assess the functioning of temporary reimbursement mechanisms. We used multilevel logistic regression to examine factors at the hospital and state levels that are associated with agreeing innovation payments. Dependent variable was whether or not a hospital had successfully negotiated innovation payments in 2013 (n = 1532). Using agreement data of the yearly budget negotiations between each German hospital and representatives of the health insurances, the study comprises all German acute hospitals and innovation payments on all diagnoses. In total, 32.9% of the hospitals successfully negotiated innovation payments in 2013. We found that the chance of receiving innovation payments increased if the hospital was located in areas with a high degree of competition and if they were large, had university status and were private for-profit entities. Our study shows an implicit self-controlled selection of hospitals receiving innovation payments. While implicitly encouraging safety of patient care, policy makers should favour a more direct and transparent process of distributing innovation payments in prospective payment systems.
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Braun J, Busse R, Darmon-Kern E, Heine O, Auer J, Meyl T, Maurer M, Hamm B, de Bucourt M. Baseline characteristics, diagnostic efficacy, and peri-examinational safety of IV gadoteric acid MRI in 148,489 patients. Acta Radiol 2020; 61:910-920. [PMID: 31739672 DOI: 10.1177/0284185119883390] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Magnetic resonance imaging (MRI) examinations with intravenous (IV) contrast are performed worldwide in routine daily practice. In order to detect and enumerate even rare adverse events (AE) and serious adverse events (SAE), and to relate them with patients' baseline characteristics and diagnostic effectiveness, high quantity sample size is necessary. PURPOSE To assess safety, diagnostic effectiveness, and baseline characteristics of patients undergoing IV gadoteric acid (Dotarem®) MRI in routine practice. MATERIAL AND METHODS Data from two observational post-marketing surveillance (PMS) databases compiled by 139 and 52 German centers in 2004-2011 and 2011-2013, respectively, were pooled, yielding data on a total of 148,489 patients examined over a 10-year period. Radiologists used a standardized questionnaire to report data including patient demographics, characteristics of MR examinations, and results in terms of diagnosis and patient safety. RESULTS Overall, 712 AEs were reported in 467 (0.3%) patients, mainly nausea (n = 224, 0.2%), vomiting (n = 29, <0.1%), urticaria (n = 20, <0.1%), and feeling hot (n = 13, <0.1%). AEs were considered related to gadoteric acid in 362 (0.2%) patients. Higher frequencies of AEs were observed among patients with a previous reaction to a contrast agent (2.0%), liver dysfunction (0.7%), bronchial asthma (0.7%), and a history of allergies (0.6%). There were 49 SAEs in 18 (<0.1%) patients, including two children. No fatal SAE was reported. Examinations were diagnostic in 99.8% of all patients, and image quality was excellent or good in 97.7% of the patients. CONCLUSION Gadoteric acid is a safe peri-examinational and effective contrast agent for MRI in routine practice.
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Maier B, Loewe A, Larscheid P, Behrens S, Bruch L, Busse R, Schaefer H, Schoeller R, Schühlen H, Theres H, Stockburger M. [Out-of-Hospital and in-Hospital Death from Myocardial Infarction in Berlin]. DAS GESUNDHEITSWESEN 2020; 83:291-296. [PMID: 32557445 DOI: 10.1055/a-1152-4662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Zusammenfassung
Ziel der Studie Die Sterblichkeit am Herzinfarkt setzt sich zusammen aus
den außerhalb und innerhalb der Klinik Verstorbenen. Da es sich beim
Herzinfarkt um eine schwerwiegende Erkrankung handelt, ist der Anteil an
Patienten, die vor Krankenhausaufnahme versterben, vergleichsweise groß
und wie Daten aus Schweden und Augsburg zeigen in seiner relativen
Häufigkeit bezogen auf alle am Infarkt Verstorbenen über die
Zeit ansteigend. Ziel unserer Studie war es, für Berlin den Anteil an
außerhalb zu innerhalb der Klinik am Infarkt Verstorbenen zu
ermitteln.
Methode Gemeinsam mit dem Berliner Zentralarchiv für
Leichenschauscheine wurden alle Leichenschauscheine vom 1.7.14–30.6.15
durchgesehen und die 1076 Verstorbenen, bei denen im Leichenschauschein Infarkt
nach bestimmten Suchworten oder ICD10 kodiert (I21, I22, I23) angegeben wurde,
anonymisiert in unsere Studie eingeschlossen.
Ergebnis Von den 1076 identifizierten Patienten verstarben 66%
außerhalb und 34% während ihres Krankenhausaufenthaltes.
Die innerhalb und außerhalb der Kliniken am Infarkt Verstorbenen zeigten
keine Unterschiede im Anteil Frauen (40,4% innerhalb, 39,0%
außerhalb; p=0,671), in der Häufigkeit der Obduktion
(16,8–16,6%; p=0,938) oder in der Todesart
„nicht natürlich“ bzw. ungewiss
(17,1–19,3%; p=0,388). Unterschiede gab es im Alter und
in den Sterbemonaten. Die außerhalb der Kliniken an einem Herzinfarkt
Verstorbenen waren vergleichsweise jünger (76J.) als die in den Kliniken
Verstorbenen (80J.). Dabei ist die Differenz am größten bei
den<65-Jährigen, die zu 76,3% außerhalb und zu
23,7% in der Klinik verstarben. In den Monaten Juli–September
war der relative Anteil an außerhalb der Klinik Verstorbenen mit
15,4% am niedrigsten und mit 29,4% für die innerhalb der
Klinik Verstorbenen am höchsten. Diese Tendenz traf auf jüngere
und ältere Verstorbene und auf Männer und Frauen
gleichermaßen zu.
Schlussfolgerung Im Untersuchungszeitraum Juli 2014 bis Juni 2015
verstarben zwei Drittel der am Infarkt Verstorbenen in Berlin außerhalb
der Kliniken. Der Herzinfarkttod außerhalb der Kliniken betraf bevorzugt
Jüngere und variierte jahreszeitlich. Das im Vergleich zur
stationären Sterblichkeit nach wie vor hohe Ausmaß der
Herzinfarktsterblichkeit außerhalb der Kliniken sollte vermehrte
Anstrengungen zu wissenschaftlich begleiteter verbesserter Prävention
und Versorgung stimulieren.
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Spies CD, Krampe H, Paul N, Denke C, Kiselev J, Piper SK, Kruppa J, Grunow JJ, Steinecke K, Gülmez T, Scholtz K, Rosseau S, Hartog C, Busse R, Caumanns J, Marschall U, Gersch M, Apfelbacher C, Weber-Carstens S, Weiss B. Instruments to measure outcomes of post-intensive care syndrome in outpatient care settings - Results of an expert consensus and feasibility field test. J Intensive Care Soc 2020; 22:159-174. [PMID: 34025756 DOI: 10.1177/1751143720923597] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background There is no consensus on the instruments for diagnosis of post-intensive care syndrome (PICS). We present a proposal for a set of outcome measurement instruments of PICS in outpatient care. Methods We conducted a three-round, semi-structured consensus-seeking process with medical experts, followed each by exploratory feasibility investigations with intensive care unit survivors (n1 = 5; n2 = 5; n3 = 7). Fourteen participants from nine stakeholder groups participated in the first and second consensus meeting. In the third consensus meeting, a core group of six clinical researchers refined the final outcome measurement instrument set proposal. Results We suggest an outcome measurement instrument set used in a two-step process. First step: Screening with brief tests covering PICS domains of (1) mental health (Patient Health Questionnaire-4 (PHQ-4)), (2) cognition (MiniCog, Animal Naming), (3) physical function (Timed Up-and-Go (TUG), handgrip strength), and (4) health-related quality of life (HRQoL) (EQ-5D-5L). Single items measure subjective health before and after the intensive care unit stay. If patients report new or worsened health problems after intensive care unit discharge and show relevant impairment in at least one of the screening tests, a second extended assessment follows: (1) Mental health (Patient Health Questionnaire-8 (PHQ-8), Generalized Anxiety Disorder Scale-7 (GAD-7), Impact of Event Scale - revised (IES-R)); (2) cognition (Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), Trail Making Test (TMT) A and B); (3) physical function (2-Minute Walk Test (2-MWT), handgrip strength, Short Physical Performance Battery (SPPB)); and (4) HRQoL (EQ-5D-5L, 12-Item WHO Disability Assessment Schedule (WHODAS 2.0)). Conclusions We propose an outcome measurement instrument set used in a two-step measurement of PICS, combining performance-based and patient-reported outcome measures. First-step screening is brief, free-of-charge, and easily applicable by health care professionals across different sectors. If indicated, specialized healthcare providers can perform the extended, second-step assessment. Usage of the first-step screening of our suggested outcome measurement instrument set in outpatient clinics with subsequent transfer to specialists is recommended for all intensive care unit survivors. This may increase awareness and reduce the burden of PICS. Trial registration This study was registered at ClinicalTrials.gov (Identifier: NCT04175236; first posted 22 November 2019).
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Kuklinski D, Oschmann L, Pross C, Busse R, Geissler A. The use of digitally collected patient-reported outcome measures for newly operated patients with total knee and hip replacements to improve post-treatment recovery: study protocol for a randomized controlled trial. Trials 2020; 21:322. [PMID: 32272962 PMCID: PMC7147006 DOI: 10.1186/s13063-020-04252-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 03/13/2020] [Indexed: 01/01/2023] Open
Abstract
Background The number of total knee replacements (TKRs) and total hip replacements (THRs) has been increasing noticeably in high-income countries, such as Germany. In particular, the number of revisions is expected to rise because of higher life expectancy and procedures performed on younger patients, impacting the budgets of health-care systems. Quality transparency is the basis of holistic patient pathway optimization. Nevertheless, a nation-wide cross-sectoral assessment of quality from a patient perspective does not yet exist. Several studies have shown that the use of patient-reported outcome measures (PROMs) is effective for measuring quality and monitoring post-treatment recovery. For the first time in Germany, we test whether early detection of critical recovery paths using PROMs after TKR/THR improves the quality of care in a cost-effective way and can be recommended for implementation into standard care. Methods/design The study is a two-arm multi-center patient-level randomized controlled trial. Patients from nine hospitals are included in the study. Patient-centered questionnaires are employed to regularly measure digitized PROMs of TKR/THR patients from the time of hospital admission until 12 months post-discharge. An expert consortium has defined PROM alert thresholds at 1, 3, and 6 months to signal critical recovery paths after TKR/THR. An algorithm alerts study assistants if patients are not recovering in line with expected recovery paths. The study assistants contact patients and their physicians to investigate and, if needed, adjust the post-treatment protocol. When sickness funds’ claims data are added, the cost-effectiveness of the intervention can be analyzed. Discussion The study is expected to deliver an important contribution to test PROMs as an intervention tool and examine the determinants of high-quality endoprosthetic care. Depending on a positive and cost-effective impact, the goal is to transfer the study design into standard care. During the trial design phase, several insights have been discovered, and there were opportunities for efficient digital monitoring limited by existing legacy care models. Digitalization in hospital processes and the implementation of digital tools still represent challenges for hospital personnel and patients. Furthermore, data privacy regulations and the separation between the in- and outpatient sector are roadblocks to effectively monitor and assess quality along the full patient pathway. Trial registration German Clinical Trials Register: DRKS00019916. Registered November 26, 2019 – retrospectively registered.
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Busse R, Panteli D, Quentin W. Understanding quality of care and analyzing different strategies to assure and improve it. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz185.450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Assessing and improving quality of care presupposes an understanding of what it does and does not entail. Different definitions often specify relatively long lists of various attributes that they recognize as part of quality. Effectiveness, patient safety, and responsiveness/patient-centeredness seem to have become universally accepted as core dimensions of quality of care. The inclusion of a list of additional elements is confusing and often blurs the line between quality of care and overall health system performance. This presentation provides an in-depth look at this interplay, recognizing that the definition of quality changes depending on the level at which it is assessed. At the level of health services, there seems to be an emerging consensus that quality of care is the degree to which health services for individuals and populations are effective, safe, and people-centered. On the other hand, a health care system as a whole is of high quality when it achieves the overall goals of improved health, responsiveness, financial protection, and efficiency; here, there seems to be an international trend towards using the term health system performance.
The workshop looks at different strategies to assure or improve the quality of health care. To understand, analyze, compare and ultimately prioritize or align different quality strategies, this presentation will introduce a comprehensive framework, which includes the following lenses: i) the three core dimensions of quality: safety, effectiveness, and patient-centeredness; ii) the four functions of health care: primary prevention, acute care, chronic care, and palliative care; iii) the three main activities of quality strategies: setting standards, monitoring, and assuring improvements; iv) Donabedian’s triad: structures, processes, and outcomes; v) the five main targets of quality strategies: health professionals, technologies, provider organizations, patients, and payers.
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110
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Berger E, Fuchs S, Baier N, Peters H, Busse R. Benefits of non-drug interventions for people with suicidal crises in unipolar depression. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz186.591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Depression is one of the most common and serious diseases worldwide: According to WHO, more than 300 million people worldwide were affected by depression in 2015. In this group, the suicide rate is about 20 times higher than the population average. In Germany, around 10,000 people take their lives each year, many of them suffering from depression. The Institute for Quality and Efficiency in Health Care commissioned the Department of Health Care Management at the Berlin University of Technology to conduct a Health Technology Assessment on whether non-drug interventions influence coping with suicidal crises in unipolar depression.
Methods
A systematic search of primary studies and systematic reviews (e.g., in MEDLINE, PSYCINFO) was performed to assess the benefit of ambulatory crisis intervention programmes or psychosocial interventions compared to another non-drug treatment, drug treatment, inpatient treatment or no treatment/waiting list in adult suicidal patients with unipolar depression regarding patient-relevant outcomes (e.g., suicide attempts, suicidal ideation, depression).
Results
The search yielded a total of 4,159 hits. After two rounds of screening for relevance and removing duplicates, 4 studies remained for inclusion in the qualitative and quantitative analysis. The studies present RCTs assessing the effects of cognitive behavioural therapy (CBT) of the 2. and 3. wave - all short-term programmes focussing on suicidality. Results indicate a benefit of CBT compared to standard treatment, depending on the outcome, on the “wave” and on the time of follow up assessment.
Conclusions
There is some evidence on benefits of CBT for adult patients with suicidal crises in unipolar depression. However, the quality of the included RCTs is weak and evidence on benefits of other non-drug interventions in outpatient care is missing. Further research is needed to identify effective interventions, especially for the vulnerable weeks immediately after suicide attempt.
Key messages
Short term cognitive behavioural therapy with suicidal prevention elements may influence coping with suicidal crises in unipolar depression positively. Further research is needed to identify effective interventions for the vulnerable weeks immediately after suicide attempt.
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111
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Waitzberg R, Quentin W, Maoz-Breuer R, Busse R, Greenberg D. Expansion of activity-based hospital payment in Israel: evaluation of effects on inpatient activity. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz185.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
In 2013-14, Israel stepped up the replacement of per-diem payments by Procedure-Related Group (PRG) based hospital payments, a local version of Diagnosis-Related groups (DRGs). PRGs were created for selected procedures in urology, general surgery, gynecology and ophthalmology. We analyzed how did this change affect inpatient activities, measured by the number of discharges, average length of stay (ALoS), and the case-severity Charlson Comorbidity Index (CCI).
Methods
We investigated the impacts of the PRG-payment reform on 15 procedures. Observations covered groups of inpatients, by age and gender, who underwent these procedures in 2005-2016 at all non-profit hospitals. We examined the effect of the payment change on the number of discharges, ALoS and CCI using a multivariable analysis of Ordinary Least Squares controlling for patients, hospital characteristics, and year fixed-effects.
Results
Data on 89,533 patients were examined. During the study period, the ALoS decreased except for one procedure, the number of inpatients increased for most procedures, and case severity remained stable. The multivariable analysis suggests that the transition to PRG-payments contributed to changes in ALoS or case severity for only 3 out of 15 procedures examined. The PRG-reform contributed to changes of 10%-45% in the number of patients, but there was no clear trend: it increased in 9, and decreased in 5. The changes did not follow a clear pattern according to procedures’ price changes after the reform.
Conclusions
Factors that may have hampered the effects of the PRG-reform are conflicting incentives created by other co-existing hospital-payment components, such as revenue caps and retrospective subsidies, and the lack of resources to increase productivity.
Key messages
Provider payment reforms should carefully coordinate the entire payment system, otherwise the incentives may be blurred. Uncoordinated reforms may miss their goals.
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Struckmann V, Looman W, van Ginneken E, Bal R, Busse R, Rutten-van Mölken M. Implementing integrated care for multi-morbidity: analysis of experiences in 17 European programmes. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz185.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Many countries are experimenting with new models of care provision and numerous integrated care programmes have been established internationally. However, little information is available on how to implement integrated care. The aim is to provide more in-depth insights in the implementation of integrated care for developers and managers of integrated care programmes, policy makers, health insurers, and researchers.
Methods
17 integrated care programmes addressing multi-morbidity were selected and studied in 8 European countries as part of the Horizon 2020-funded project SELFIE (Sustainable intEgrated care modeLs for multi-morbidity: delivery, FInancing and performancE). An overarching analysis with data extraction forms of the Thick Descriptions completed for all 17 programmes in combination with previous insights from the literature was applied. Information about the implementation of integrated care was extracted and coded according to the six components of the SELFIE framework: service delivery, leadership & governance, workforce, financing, technologies & medical products, and, information & research and sub-elements of each component at the micro, meso and macro level.
Results
The results show the interrelatedness of the six SELFIE framework components and that alignment work between them, different elements and levels is important. The meso-level seems to be the driving force of implementation and that a stepwise approach to change by building upon what is already there (e.g. existing collaborative networks) and gradually expand and broaden the scope of the integrated care programmes was supportive.
Conclusions
Implementation activities should simultaneously focus at the micro, meso and macro-levels at which integration occurs as they strongly influence each other. Alignment of the integrated care programme and the active influence of the macro-level context by creating an enabling environment facilitates successful implementation.
Key messages
Integrated care should be implemented with an incremental growth model rather than from a disruptive innovation approach. Integrated care should involve bottom-up and top-down implementation at different levels of the programme.
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Waitzberg R, Quentin W, Busse R, Greenberg D. Activity-based hospital payments: a qualitative evaluation by Israeli managers and physicians. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz185.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Background
Israel has expanded procedure-related group (PRG) payments instead of per-diem payments for hospitals. There is scarce literature that documents the process of adoption of DRGs and its entailed economic incentives according to hospital workers’ perspectives. Important issues remain underexplored such as how managers transmit the incentives and considerations to caregivers, how physicians embrace (or not) these new rules of the game.
Methods
We used qualitative, grounded-theory analysis based on 35 semi-structured in-depth interviews with managers, financial directors, surgical ward heads and physicians in 5 hospitals, sampled by maximum variation according to hospital characteristics.
Results
We found two main themes: incentives for change and barriers to change. The most significant change was the creation of a common professional language, which facilitates measurement and supervision of activities, outcomes, and profitability. Measurement enhances transparency and is essential for resource management. Respondents also reported barriers inhibiting their responsiveness to the economic incentives of PRGs: a complicated coding system; inappropriate pricing; dependency on numerous production factors; lack of transparency; lack of coordinated goals among players; and other medical or moral considerations that outweigh or co-exist with financial considerations.
Conclusions
The adoption of PRGs led to changes in managers’ and physicians’ actions and considerations, particularly in situations where it was possible to reprioritize elective procedures without harming patient health or quality of care. However, on a broader level, the impact was modest, leading mainly to a fairer redistribution of resources and the rearrangement of work, such as shifting patients to after-hours. It would be appropriate to allow hospitals and physicians to operate in a less restricted market where regulation allows suppliers some degree of discretion so they can react to the PRG reform.
Key messages
Provider payment reforms change economic incentives, behavior and decision-making. However, structural barriers and other non-economic considerations may lead to unintended consequences of such reforms.
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Schulz CM, Ahrend KM, Schneider G, Hohendorf G, Schellnhuber HJ, Busse R. Medical ethics in the Anthropocene: how are €100 billion of German physicians' pension funds invested? Lancet Planet Health 2019; 3:e405-e406. [PMID: 31625510 DOI: 10.1016/s2542-5196(19)30189-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 09/20/2019] [Indexed: 06/10/2023]
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Burstein R, Henry NJ, Collison ML, Marczak LB, Sligar A, Watson S, Marquez N, Abbasalizad-Farhangi M, Abbasi M, Abd-Allah F, Abdoli A, Abdollahi M, Abdollahpour I, Abdulkader RS, Abrigo MRM, Acharya D, Adebayo OM, Adekanmbi V, Adham D, Afshari M, Aghaali M, Ahmadi K, Ahmadi M, Ahmadpour E, Ahmed R, Akal CG, Akinyemi JO, Alahdab F, Alam N, Alamene GM, Alene KA, Alijanzadeh M, Alinia C, Alipour V, Aljunid SM, Almalki MJ, Al-Mekhlafi HM, Altirkawi K, Alvis-Guzman N, Amegah AK, Amini S, Amit AML, Anbari Z, Androudi S, Anjomshoa M, Ansari F, Antonio CAT, Arabloo J, Arefi Z, Aremu O, Armoon B, Arora A, Artaman A, Asadi A, Asadi-Aliabadi M, Ashraf-Ganjouei A, Assadi R, Ataeinia B, Atre SR, Quintanilla BPA, Ayanore MA, Azari S, Babaee E, Babazadeh A, Badawi A, Bagheri S, Bagherzadeh M, Baheiraei N, Balouchi A, Barac A, Bassat Q, Baune BT, Bayati M, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Belay YB, Bell B, Bell ML, Berbada DA, Bernstein RS, Bhattacharjee NV, Bhattarai S, Bhutta ZA, Bijani A, Bohlouli S, Breitborde NJK, Britton G, Browne AJ, Nagaraja SB, Busse R, Butt ZA, Car J, Cárdenas R, Castañeda-Orjuela CA, Cerin E, Chanie WF, Chatterjee P, Chu DT, Cooper C, Costa VM, Dalal K, Dandona L, Dandona R, Daoud F, Daryani A, Das Gupta R, Davis I, Davis Weaver N, Davitoiu DV, De Neve JW, Demeke FM, Demoz GT, Deribe K, Desai R, Deshpande A, Desyibelew HD, Dey S, Dharmaratne SD, Dhimal M, Diaz D, Doshmangir L, Duraes AR, Dwyer-Lindgren L, Earl L, Ebrahimi R, Ebrahimpour S, Effiong A, Eftekhari A, Ehsani-Chimeh E, El Sayed I, El Sayed Zaki M, El Tantawi M, El-Khatib Z, Emamian MH, Enany S, Eskandarieh S, Eyawo O, Ezalarab M, Faramarzi M, Fareed M, Faridnia R, Faro A, Fazaeli AA, Fazlzadeh M, Fentahun N, Fereshtehnejad SM, Fernandes JC, Filip I, Fischer F, Foigt NA, Foroutan M, Francis JM, Fukumoto T, Fullman N, Gallus S, Gebre DG, Gebrehiwot TT, Gebremeskel GG, Gessner BD, Geta B, Gething PW, Ghadimi R, Ghadiri K, Ghajarzadeh M, Ghashghaee A, Gill PS, Gill TK, Golding N, Gomes NGM, Gona PN, Gopalani SV, Gorini G, Goulart BNG, Graetz N, Greaves F, Green MS, Guo Y, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Hamidi S, Haririan H, Haro JM, Hasankhani M, Hasanpoor E, Hasanzadeh A, Hassankhani H, Hassen HY, Hegazy MI, Hendrie D, Heydarpour F, Hird TR, Hoang CL, Hollerich G, Rad EH, Hoseini-Ghahfarokhi M, Hossain N, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Ilesanmi OS, Imani-Nasab MH, Iqbal U, Irvani SSN, Islam N, Islam SMS, Jürisson M, Balalami NJ, Jalali A, Javidnia J, Jayatilleke AU, Jenabi E, Ji JS, Jobanputra YB, Johnson K, Jonas JB, Shushtari ZJ, Jozwiak JJ, Kabir A, Kahsay A, Kalani H, Kalhor R, Karami M, Karki S, Kasaeian A, Kassebaum NJ, Keiyoro PN, Kemp GR, Khabiri R, Khader YS, Khafaie MA, Khan EA, Khan J, Khan MS, Khang YH, Khatab K, Khater A, Khater MM, Khatony A, Khazaei M, Khazaei S, Khazaei-Pool M, Khubchandani J, Kianipour N, Kim YJ, Kimokoti RW, Kinyoki DK, Kisa A, Kisa S, Kolola T, Kosen S, Koul PA, Koyanagi A, Kraemer MUG, Krishan K, Krohn KJ, Kugbey N, Kumar GA, Kumar M, Kumar P, Kuupiel D, Lacey B, Lad SD, Lami FH, Larsson AO, Lee PH, Leili M, Levine AJ, Li S, Lim LL, Listl S, Longbottom J, Lopez JCF, Lorkowski S, Magdeldin S, Abd El Razek HM, Abd El Razek MM, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Manafi N, Manda AL, Mansourian M, Martins-Melo FR, Masaka A, Massenburg BB, Maulik PK, Mayala BK, Mazidi M, McKee M, Mehrotra R, Mehta KM, Meles GG, Mendoza W, Menezes RG, Meretoja A, Meretoja TJ, Mestrovic T, Miller TR, Miller-Petrie MK, Mills EJ, Milne GJ, Mini GK, Mir SM, Mirjalali H, Mirrakhimov EM, Mohamadi E, Mohammad DK, Darwesh AM, Mezerji NMG, Mohammed AS, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Moodley Y, Moosazadeh M, Moradi G, Moradi M, Moradi Y, Moradi-Lakeh M, Moradinazar M, Moraga P, Morawska L, Mosapour A, Mousavi SM, Mueller UO, Muluneh AG, Mustafa G, Nabavizadeh B, Naderi M, Nagarajan AJ, Nahvijou A, Najafi F, Nangia V, Ndwandwe DE, Neamati N, Negoi I, Negoi RI, Ngunjiri JW, Thi Nguyen HL, Nguyen LH, Nguyen SH, Nielsen KR, Ningrum DNA, Nirayo YL, Nixon MR, Nnaji CA, Nojomi M, Noroozi M, Nosratnejad S, Noubiap JJ, Motlagh SN, Ofori-Asenso R, Ogbo FA, Oladimeji KE, Olagunju AT, Olfatifar M, Olum S, Olusanya BO, Oluwasanu MM, Onwujekwe OE, Oren E, Ortega-Altamirano DDV, Ortiz A, Osarenotor O, Osei FB, Osgood-Zimmerman AE, Otstavnov SS, Owolabi MO, P A M, Pagheh AS, Pakhale S, Panda-Jonas S, Pandey A, Park EK, Parsian H, Pashaei T, Patel SK, Pepito VCF, Pereira A, Perkins S, Pickering BV, Pilgrim T, Pirestani M, Piroozi B, Pirsaheb M, Plana-Ripoll O, Pourjafar H, Puri P, Qorbani M, Quintana H, Rabiee M, Rabiee N, Radfar A, Rafiei A, Rahim F, Rahimi Z, Rahimi-Movaghar V, Rahimzadeh S, Rajati F, Raju SB, Ramezankhani A, Ranabhat CL, Rasella D, Rashedi V, Rawal L, Reiner RC, Renzaho AMN, Rezaei S, Rezapour A, Riahi SM, Ribeiro AI, Roever L, Roro EM, Roser M, Roshandel G, Roshani D, Rostami A, Rubagotti E, Rubino S, Sabour S, Sadat N, Sadeghi E, Saeedi R, Safari Y, Safari-Faramani R, Safdarian M, Sahebkar A, Salahshoor MR, Salam N, Salamati P, Salehi F, Zahabi SS, Salimi Y, Salimzadeh H, Salomon JA, Sambala EZ, Samy AM, Santric Milicevic MM, Jose BPS, Saraswathy SYI, Sarmiento-Suárez R, Sartorius B, Sathian B, Saxena S, Sbarra AN, Schaeffer LE, Schwebel DC, Sepanlou SG, Seyedmousavi S, Shaahmadi F, Shaikh MA, Shams-Beyranvand M, Shamshirian A, Shamsizadeh M, Sharafi K, Sharif M, Sharif-Alhoseini M, Sharifi H, Sharma J, Sharma R, Sheikh A, Shields C, Shigematsu M, Shiri R, Shiue I, Shuval K, Siddiqi TJ, Silva JP, Singh JA, Sinha DN, Sisay MM, Sisay S, Sliwa K, Smith DL, Somayaji R, Soofi M, Soriano JB, Sreeramareddy CT, Sudaryanto A, Sufiyan MB, Sykes BL, Sylaja PN, Tabarés-Seisdedos R, Tabb KM, Tabuchi T, Taveira N, Temsah MH, Terkawi AS, Tessema ZT, Thankappan KR, Thirunavukkarasu S, To QG, Tovani-Palone MR, Tran BX, Tran KB, Ullah I, Usman MS, Uthman OA, Vahedian-Azimi A, Valdez PR, van Boven JFM, Vasankari TJ, Vasseghian Y, Veisani Y, Venketasubramanian N, Violante FS, Vladimirov SK, Vlassov V, Vos T, Vu GT, Vujcic IS, Waheed Y, Wakefield J, Wang H, Wang Y, Wang YP, Ward JL, Weintraub RG, Weldegwergs KG, Weldesamuel GT, Westerman R, Wiysonge CS, Wondafrash DZ, Woyczynski L, Wu AM, Xu G, Yadegar A, Yamada T, Yazdi-Feyzabadi V, Yilgwan CS, Yip P, Yonemoto N, Lebni JY, Younis MZ, Yousefifard M, Yousof HASA, Yu C, Yusefzadeh H, Zabeh E, Moghadam TZ, Bin Zaman S, Zamani M, Zandian H, Zangeneh A, Zerfu TA, Zhang Y, Ziapour A, Zodpey S, Murray CJL, Hay SI. Mapping 123 million neonatal, infant and child deaths between 2000 and 2017. Nature 2019; 574:353-358. [PMID: 31619795 PMCID: PMC6800389 DOI: 10.1038/s41586-019-1545-0] [Citation(s) in RCA: 124] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 08/06/2019] [Indexed: 11/23/2022]
Abstract
Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2-to end preventable child deaths by 2030-we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000-2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.
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Chang AY, Cowling K, Micah AE, Chapin A, Chen CS, Ikilezi G, Sadat N, Tsakalos G, Wu J, Younker T, Zhao Y, Zlavog BS, Abbafati C, Ahmed AE, Alam K, Alipour V, Aljunid SM, Almalki MJ, Alvis-Guzman N, Ammar W, Andrei CL, Anjomshoa M, Antonio CAT, Arabloo J, Aremu O, Ausloos M, Avila-Burgos L, Awasthi A, Ayanore MA, Azari S, Azzopardi-Muscat N, Bagherzadeh M, Bärnighausen TW, Baune BT, Bayati M, Belay YB, Belay YA, Belete H, Berbada DA, Berman AE, Beuran M, Bijani A, Busse R, Cahuana-Hurtado L, Cámera LA, Catalá-López F, Chauhan BG, Constantin MM, Crowe CS, Cucu A, Dalal K, De Neve JW, Deiparine S, Demeke FM, Do HP, Dubey M, El Tantawi M, Eskandarieh S, Esmaeili R, Fakhar M, Fazaeli AA, Fischer F, Foigt NA, Fukumoto T, Fullman N, Galan A, Gamkrelidze A, Gezae KE, Ghajar A, Ghashghaee A, Goginashvili K, Haakenstad A, Haghparast Bidgoli H, Hamidi S, Harb HL, Hasanpoor E, Hassen HY, Hay SI, Hendrie D, Henok A, Heredia-Pi I, Herteliu C, Hoang CL, Hole MK, Homaie Rad E, Hossain N, Hosseinzadeh M, Hostiuc S, Ilesanmi OS, Irvani SSN, Jakovljevic M, Jalali A, James SL, Jonas JB, Jürisson M, Kadel R, Karami Matin B, Kasaeian A, Kasaye HK, Kassaw MW, Kazemi Karyani A, Khabiri R, Khan J, Khan MN, Khang YH, Kisa A, Kissimova-Skarbek K, Kohler S, Koyanagi A, Krohn KJ, Leung R, Lim LL, Lorkowski S, Majeed A, Malekzadeh R, Mansourian M, Mantovani LG, Massenburg BB, McKee M, Mehta V, Meretoja A, Meretoja TJ, Milevska Kostova N, Miller TR, Mirrakhimov EM, Mohajer B, Mohammad Darwesh A, Mohammed S, Mohebi F, Mokdad AH, Morrison SD, Mousavi SM, Muthupandian S, Nagarajan AJ, Nangia V, Negoi I, Nguyen CT, Nguyen HLT, Nguyen SH, Nosratnejad S, Oladimeji O, Olgiati S, Olusanya JO, Onwujekwe OE, Otstavnov SS, Pana A, Pereira DM, Piroozi B, Prada SI, Qorbani M, Rabiee M, Rabiee N, Rafiei A, Rahim F, Rahimi-Movaghar V, Ram U, Ranabhat CL, Ranta A, Rawaf DL, Rawaf S, Rezaei S, Roro EM, Rostami A, Rubino S, Salahshoor M, Samy AM, Sanabria J, Santos JV, Santric Milicevic MM, Sao Jose BP, Savic M, Schwendicke F, Sepanlou SG, Sepehrimanesh M, Sheikh A, Shrime MG, Sisay S, Soltani S, Soofi M, Soofi M, Srinivasan V, Tabarés-Seisdedos R, Torre A, Tovani-Palone MR, Tran BX, Tran KB, Undurraga EA, Valdez PR, van Boven JFM, Vargas V, Veisani Y, Violante FS, Vladimirov SK, Vlassov V, Vollmer S, Vu GT, Wolfe CDA, Yonemoto N, Younis MZ, Yousefifard M, Zaman SB, Zangeneh A, Zegeye EA, Ziapour A, Chew A, Murray CJL, Dieleman JL. Past, present, and future of global health financing: a review of development assistance, government, out-of-pocket, and other private spending on health for 195 countries, 1995-2050. Lancet 2019; 393:2233-2260. [PMID: 31030984 PMCID: PMC6548764 DOI: 10.1016/s0140-6736(19)30841-4] [Citation(s) in RCA: 218] [Impact Index Per Article: 43.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 03/22/2019] [Accepted: 03/27/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Comprehensive and comparable estimates of health spending in each country are a key input for health policy and planning, and are necessary to support the achievement of national and international health goals. Previous studies have tracked past and projected future health spending until 2040 and shown that, with economic development, countries tend to spend more on health per capita, with a decreasing share of spending from development assistance and out-of-pocket sources. We aimed to characterise the past, present, and predicted future of global health spending, with an emphasis on equity in spending across countries. METHODS We estimated domestic health spending for 195 countries and territories from 1995 to 2016, split into three categories-government, out-of-pocket, and prepaid private health spending-and estimated development assistance for health (DAH) from 1990 to 2018. We estimated future scenarios of health spending using an ensemble of linear mixed-effects models with time series specifications to project domestic health spending from 2017 through 2050 and DAH from 2019 through 2050. Data were extracted from a broad set of sources tracking health spending and revenue, and were standardised and converted to inflation-adjusted 2018 US dollars. Incomplete or low-quality data were modelled and uncertainty was estimated, leading to a complete data series of total, government, prepaid private, and out-of-pocket health spending, and DAH. Estimates are reported in 2018 US dollars, 2018 purchasing-power parity-adjusted dollars, and as a percentage of gross domestic product. We used demographic decomposition methods to assess a set of factors associated with changes in government health spending between 1995 and 2016 and to examine evidence to support the theory of the health financing transition. We projected two alternative future scenarios based on higher government health spending to assess the potential ability of governments to generate more resources for health. FINDINGS Between 1995 and 2016, health spending grew at a rate of 4·00% (95% uncertainty interval 3·89-4·12) annually, although it grew slower in per capita terms (2·72% [2·61-2·84]) and increased by less than $1 per capita over this period in 22 of 195 countries. The highest annual growth rates in per capita health spending were observed in upper-middle-income countries (5·55% [5·18-5·95]), mainly due to growth in government health spending, and in lower-middle-income countries (3·71% [3·10-4·34]), mainly from DAH. Health spending globally reached $8·0 trillion (7·8-8·1) in 2016 (comprising 8·6% [8·4-8·7] of the global economy and $10·3 trillion [10·1-10·6] in purchasing-power parity-adjusted dollars), with a per capita spending of US$5252 (5184-5319) in high-income countries, $491 (461-524) in upper-middle-income countries, $81 (74-89) in lower-middle-income countries, and $40 (38-43) in low-income countries. In 2016, 0·4% (0·3-0·4) of health spending globally was in low-income countries, despite these countries comprising 10·0% of the global population. In 2018, the largest proportion of DAH targeted HIV/AIDS ($9·5 billion, 24·3% of total DAH), although spending on other infectious diseases (excluding tuberculosis and malaria) grew fastest from 2010 to 2018 (6·27% per year). The leading sources of DAH were the USA and private philanthropy (excluding corporate donations and the Bill & Melinda Gates Foundation). For the first time, we included estimates of China's contribution to DAH ($644·7 million in 2018). Globally, health spending is projected to increase to $15·0 trillion (14·0-16·0) by 2050 (reaching 9·4% [7·6-11·3] of the global economy and $21·3 trillion [19·8-23·1] in purchasing-power parity-adjusted dollars), but at a lower growth rate of 1·84% (1·68-2·02) annually, and with continuing disparities in spending between countries. In 2050, we estimate that 0·6% (0·6-0·7) of health spending will occur in currently low-income countries, despite these countries comprising an estimated 15·7% of the global population by 2050. The ratio between per capita health spending in high-income and low-income countries was 130·2 (122·9-136·9) in 2016 and is projected to remain at similar levels in 2050 (125·9 [113·7-138·1]). The decomposition analysis identified governments' increased prioritisation of the health sector and economic development as the strongest factors associated with increases in government health spending globally. Future government health spending scenarios suggest that, with greater prioritisation of the health sector and increased government spending, health spending per capita could more than double, with greater impacts in countries that currently have the lowest levels of government health spending. INTERPRETATION Financing for global health has increased steadily over the past two decades and is projected to continue increasing in the future, although at a slower pace of growth and with persistent disparities in per-capita health spending between countries. Out-of-pocket spending is projected to remain substantial outside of high-income countries. Many low-income countries are expected to remain dependent on development assistance, although with greater government spending, larger investments in health are feasible. In the absence of sustained new investments in health, increasing efficiency in health spending is essential to meet global health targets. FUNDING Bill & Melinda Gates Foundation.
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Waitzberg R, Quentin W, Daniels E, Perman V, Brammli-Greenberg S, Busse R, Greenberg D. The 2010 expansion of activity-based hospital payment in Israel: an evaluation of effects at the ward level. BMC Health Serv Res 2019; 19:292. [PMID: 31068156 PMCID: PMC6505257 DOI: 10.1186/s12913-019-4083-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 04/09/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND In 2010, Israel intensified its adoption of Procedure-Related Group (PRG) based hospital payments, a local version of DRG (Diagnosis-related group). PRGs were created for certain procedures by clinical fields such as urology, orthopedics, and ophthalmology. Non-procedural hospitalizations and other specific procedures continued to be paid for as per-diems (PD). Whether this payment reform affected inpatient activities, measured by the number of discharges and average length of stay (ALoS), is unclear. METHODS We analyzed inpatient data provided by the Ministry of Health from all 29 public hospitals in Israel. Our observations were hospital wards for the years 2008-2015, as proxies to clinical fields. We investigated the impact of this reform at the ward level using difference-in-differences analyses among procedural wards. Those for which PRG codes were created were treatment wards, other procedural wards served as controls. We further refined the analysis of effects on each ward separately. RESULTS Discharges increased more in the wards that were part of the control group than in the treatment wards as a group. However, a refined analysis of each treated ward separately reveals that discharges increased in some, but decreased in other wards. ALoS decreased more in treatment wards. Difference-in-differences results could not suggest causality between the PRG payment reform and changes in inpatient activity. CONCLUSIONS Factors that may have hampered the effects of the reform are inadequate pricing of procedures, conflicting incentives created by other co-existing hospital-payment components, such as caps and retrospective subsidies, and the lack of resources to increase productivity. Payment reforms for health providers such as hospitals need to take into consideration the entire provider market, available resources, other - potentially conflicting - payment components, and the various parties involved and their interests.
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Opoku D, Busse R, Quentin W. Achieving Sustainability and Scale-Up of Mobile Health Noncommunicable Disease Interventions in Sub-Saharan Africa: Views of Policy Makers in Ghana. JMIR Mhealth Uhealth 2019; 7:e11497. [PMID: 31066706 PMCID: PMC6524449 DOI: 10.2196/11497] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 10/04/2018] [Accepted: 01/25/2019] [Indexed: 12/14/2022] Open
Abstract
Background A growing body of evidence shows that mobile health (mHealth) interventions may improve treatment and care for the rapidly rising number of patients with noncommunicable diseases (NCDs) in sub-Saharan Africa (SSA). A recent realist review developed a framework highlighting the influence of context factors, including predisposing characteristics, needs, and enabling resources (PNE), for the long-term success of mHealth interventions. The views of policy makers will ultimately determine implementation and scale-up of mHealth interventions in SSA. However, their views about necessary conditions for sustainability and scale-up remain unexplored. Objective This study aimed to understand the views of policy makers in Ghana with regard to the most important factors for successful implementation, sustainability, and scale-up of mHealth NCD interventions. Methods Members of the technical working group responsible for Ghana’s national NCD policy were interviewed about their knowledge of and attitude toward mHealth and about the most important factors contributing to long-term intervention success. Using qualitative methods and applying a qualitative content analysis approach, answers were categorized according to the PNE framework. Results A total of 19 policy makers were contacted and 13 were interviewed. Interviewees had long-standing work experience of an average of 26 years and were actively involved in health policy making in Ghana. They were well-informed about the potential of mHealth, and they strongly supported mHealth expansion in the country. Guided by the PNE framework’s categories, the policy makers ascertained which critical factors would support the successful implementation of mHealth interventions in Ghana. The policy makers mentioned many factors described in the literature as important for mHealth implementation, sustainability, and scale-up, but they focused more on enabling resources than on predisposing characteristics and need. Furthermore, they mentioned several factors that have been rather unexplored in the literature. Conclusions The study shows that the PNE framework is useful to guide policy makers toward a more systematic assessment of context factors that support intervention implementation, sustainability, and scale-up. Furthermore, the framework was refined by adding additional factors. Policy makers may benefit from using the PNE framework at the various stages of mHealth implementation. Researchers may (and should) use the framework when investigating reasons for success (or failure) of interventions.
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Tille F, Röttger J, Gibis B, Busse R, Kuhlmey A, Schnitzer S. Patients' perceptions of health system responsiveness in ambulatory care in Germany. PATIENT EDUCATION AND COUNSELING 2019; 102:162-171. [PMID: 30150126 DOI: 10.1016/j.pec.2018.08.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 07/26/2018] [Accepted: 08/16/2018] [Indexed: 06/08/2023]
Abstract
OBJECTIVE To identify overall levels of health system responsiveness and the associations with social determinants for ambulatory health care in Germany from a user perspective. METHODS This analysis drew on a 2016 health survey sample of 6113 adults in Germany. Responsiveness was measured for general practitioners (GPs) and specialists (SPs) along the domains trust, dignity, confidentiality, autonomy and communication. Bivariate and multivariate logistic regression techniques were applied. RESULTS Over 90% of all patients assessed their last GP and SP visit as good regarding trust, dignity, autonomy and communication, but only half for confidentiality in the doctor office (GP visits: 50.3%; SP visits: 52.4%). For GP visits, patients' young age of 18-34 years showed most associations with poor assessment of the domains, for SP visits a current health problem as the reason for the last consultation. CONCLUSION While overall responsiveness levels for ambulatory care are high, ratings of confidentiality are distressing. Particularly patients' young age and bad health are associated with a poor assessment of responsiveness. PRACTICE IMPLICATIONS Measures to improve doctor office infrastructure and to enhance responsiveness towards patients under the age of 35 years and those with health problems are vital to increase responsiveness.
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Edwards SE, Morel CM, Busse R, Harbarth S. Combatting Antibiotic Resistance Together: How Can We Enlist the Help of Industry? Antibiotics (Basel) 2018; 7:antibiotics7040111. [PMID: 30567308 PMCID: PMC6315850 DOI: 10.3390/antibiotics7040111] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 12/11/2018] [Accepted: 12/13/2018] [Indexed: 11/16/2022] Open
Abstract
The development of antibiotics needs to be supported through new financial stimuli, including help from the public sector. In exchange for public support, industry should be asked to do what is in their power to help curb the inappropriate use of antibiotics. This work discusses key areas through which industry has an important influence on antibiotic consumption and where agreements can be made alongside financial incentives, even those intended to stimulate very early research. As long as the traditional unit sale-based business model for antibiotics remains in place, profit-making incentives will likely undermine efforts to sell and utilize antibiotics in a sustainable manner. In the short-term, while we try to come to a consensus on how best to fix the market, we need measures to prevent major over-selling and inappropriate promotion—especially for new, badly needed antibiotics that reach the market. This paper explores ways in which the pharmaceutical industry could help buttress sustainable antibiotic use while we search for more long-term, constructive, mutually-beneficial ways to organize the market.
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Pross C, Berger E, Siegel M, Geissler A, Busse R. Stroke units, certification, and outcomes in German hospitals: a longitudinal study of patient-based 30-day mortality for 2006-2014. BMC Health Serv Res 2018; 18:880. [PMID: 30466414 PMCID: PMC6249823 DOI: 10.1186/s12913-018-3664-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 10/30/2018] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Treatment of stroke patients in stroke units has increased and studies have shown improved outcomes. However, a large share of patients in Germany is still treated in hospitals without stroke unit. The effects of stroke unit service line, and total hospital quality certification on outcomes remain unclear. METHODS We employ annual hospital panel data for 1100-1300 German hospitals from 2006 to 2014, which includes structural data and 30-day standardized mortality. We estimate hospital- and time-fixed effects regressions with three main independent variables: (1) stroke unit care, (2) stroke unit certification, and (3) total hospital quality certification. RESULTS Our results confirm the trend of decreasing stroke mortality ratios, although to a much lesser degree than previous studies. Descriptive analysis illustrates better stroke outcomes for non-certified and certified stroke units and hospitals with total hospital quality certification. In a fixed effects model, having a stroke unit has a significant quality-enhancing effect, lowering stroke mortality by 5.6%, while there is no significant improvement effect for stroke unit certification or total hospital quality certification. CONCLUSIONS Patients and health systems may benefit substantially from stroke unit treatment expansion as installing a stroke unit appears more meaningful than getting it certified or obtaining a total hospital quality certification. Health systems should thus prioritize investment in stroke unit infrastructure and centralize stroke care in stroke units. They should also prioritize patient-based 30-day mortality data as it allows a more realistic representation of mortality than admission-based data.
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Dicker D, Nguyen G, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdel-Rahman O, Abdi A, Abdollahpour I, Abdulkader RS, Abdurahman AA, Abebe HT, Abebe M, Abebe Z, Abebo TA, Aboyans V, Abraha HN, Abrham AR, Abu-Raddad LJ, Abu-Rmeileh NME, Accrombessi MMK, Acharya P, Adebayo OM, Adedeji IA, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adhikari TB, Adib MG, Adou AK, Adsuar JC, Afarideh M, Afshin A, Agarwal G, Aggarwal R, Aghayan SA, Agrawal S, Agrawal A, Ahmadi M, Ahmadi A, Ahmadieh H, Ahmed MLCB, Ahmed S, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akanda AS, Akbari ME, Akibu M, Akinyemi RO, Akinyemiju T, Akseer N, Alahdab F, Al-Aly Z, Alam K, Alebel A, Aleman AV, Alene KA, Al-Eyadhy A, Ali R, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Allen CA, Alonso J, Al-Raddadi RM, Alsharif U, Altirkawi K, Alvis-Guzman N, Amare AT, Amini E, Ammar W, Amoako YA, Anber NH, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Anlay DZ, Ansari H, Ansariadi A, Ansha MG, Antonio CAT, Appiah SCY, Aremu O, Areri HA, Ärnlöv J, Arora M, Artaman A, Aryal KK, Asadi-Lari M, Asayesh H, Asfaw ET, Asgedom SW, Assadi R, Ataro Z, Atey TMM, Athari SS, Atique S, Atre SR, Atteraya MS, Attia EF, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Awuah B, Ayala Quintanilla BP, Ayele HT, Ayele Y, Ayer R, Ayuk TB, Azzopardi PS, Azzopardi-Muscat N, Badali H, Badawi A, Balakrishnan K, Bali AG, Banach M, Banstola A, Barac A, Barboza MA, Barquera S, Barrero LH, Basaleem H, Bassat Q, Basu A, Basu S, Baune BT, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Belachew AB, Belay AG, Belay E, Belay SA, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Berhane A, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Beyranvand T, Bhala N, Bhatia E, Bhatt S, Bhattarai S, Bhaumik S, Bhutta ZA, Biadgo B, Bijani A, Bikbov B, Bililign N, Bin Sayeed MS, Birlik SM, Birungi C, Bisanzio D, Biswas T, Bjørge T, Bleyer A, Basara BB, Bose D, Bosetti C, Boufous S, Bourne R, Brady OJ, Bragazzi NL, Brant LC, Brazinova A, Breitborde NJK, Brenner H, Britton G, Brugha T, Burke KE, Busse R, Butt ZA, Cahuana-Hurtado L, Callender CSKH, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car M, Cárdenas R, Carreras G, Carrero JJ, Carter A, Carvalho F, Castañeda-Orjuela CA, Castillo Rivas J, Castro F, Catalá-López F, Çavlin A, Cerin E, Chaiah Y, Champs AP, Chang HY, Chang JC, Chattopadhyay A, Chaturvedi P, Chen W, Chiang PPC, Chimed-Ochir O, Chin KL, Chisumpa VH, Chitheer A, Choi JYJ, Christensen H, Christopher DJ, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Claro RM, Cohen AJ, Collado-Mateo D, Constantin MM, Conti S, Cooper C, Cooper LT, Cortesi PA, Cortinovis M, Cousin E, Criqui MH, Cromwell EA, Crowe CS, Crump JA, Cucu A, Cunningham M, Daba AK, Dachew BA, Dadi AF, Dandona L, Dandona R, Dang AK, Dargan PI, Daryani A, Das SK, Das Gupta R, das Neves J, Dasa TT, Dash AP, Weaver ND, Davitoiu DV, Davletov K, Dayama A, Courten BD, De la Hoz FP, De leo D, De Neve JW, Degefa MG, Degenhardt L, Degfie TT, Deiparine S, Dellavalle RP, Demoz GT, Demtsu BB, Denova-Gutiérrez E, Deribe K, Dervenis N, Des Jarlais DC, Dessie GA, Dey S, Dharmaratne SD, Dhimal M, Ding EL, Djalalinia S, Doku DT, Dolan KA, Donnelly CA, Dorsey ER, Douwes-Schultz D, Doyle KE, Drake TM, Driscoll TR, Dubey M, Dubljanin E, Duken EE, Duncan BB, Duraes AR, Ebrahimi H, Ebrahimpour S, Edessa D, Edvardsson D, Eggen AE, El Bcheraoui C, El Sayed Zaki M, Elfaramawi M, El-Khatib Z, Ellingsen CL, Elyazar IRF, Enayati A, Endries AYY, Er B, Ermakov SP, Eshrati B, Eskandarieh S, Esmaeili R, Esteghamati A, Esteghamati S, Fakhar M, Fakhim H, Farag T, Faramarzi M, Fareed M, Farhadi F, Farid TA, Farinha CSES, Farioli A, Faro A, Farvid MS, Farzadfar F, Farzaei MH, Fazeli MS, Feigin VL, Feigl AB, Feizy F, Fentahun N, Fereshtehnejad SM, Fernandes E, Fernandes JC, Feyissa GT, Fijabi DO, Filip I, Finegold S, Fischer F, Flor LS, Foigt NA, Ford JA, Foreman KJ, Fornari C, Frank TD, Franklin RC, Fukumoto T, Fuller JE, Fullman N, Fürst T, Furtado JM, Futran ND, Galan A, Gallus S, Gambashidze K, Gamkrelidze A, Gankpe FG, Garcia-Basteiro AL, Garcia-Gordillo MA, Gebre T, Gebre AK, Gebregergs GB, Gebrehiwot TT, Gebremedhin AT, Gelano TF, Gelaw YA, Geleijnse JM, Genova-Maleras R, Gessner BD, Getachew S, Gething PW, Gezae KE, Ghadami MR, Ghadimi R, Ghasemi Falavarjani K, Ghasemi-Kasman M, Ghiasvand H, Ghimire M, Ghoshal AG, Gill PS, Gill TK, Gillum RF, Giussani G, Goenka S, Goli S, Gomez RS, Gomez-Cabrera MC, Gómez-Dantés H, Gona PN, Goodridge A, Gopalani SV, Goto A, Goulart AC, Goulart BNG, Grada A, Grosso G, Gugnani HC, Guimaraes ALS, Guo Y, Gupta PC, Gupta R, Gupta R, Gupta T, Gyawali B, Haagsma JA, Hachinski V, Hafezi-Nejad N, Hagos TB, Hailegiyorgis TT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Handal AJ, Hankey GJ, Harb HL, Harikrishnan S, Haririan H, Haro JM, Hasan M, Hassankhani H, Hassen HY, Havmoeller R, Hay RJ, Hay SI, He Y, Hedayatizadeh-Omran A, Hegazy MI, Heibati B, Heidari M, Hendrie D, Henok A, Henry NJ, Heredia-Pi I, Herteliu C, Heydarpour F, Heydarpour P, Heydarpour S, Hibstu DT, Hoek HW, Hole MK, Homaie Rad E, Hoogar P, Horino M, Hosgood HD, Hosseini SM, Hosseinzadeh M, Hostiuc S, Hostiuc M, Hotez PJ, Hoy DG, Hsairi M, Htet AS, Hu G, Huang JJ, Husseini A, Hussen MM, Hutfless S, Iburg KM, Igumbor EU, Ikeda CT, Ilesanmi OS, Iqbal U, Irvani SSN, Isehunwa OO, Islam SMS, Islami F, Jahangiry L, Jahanmehr N, Jain R, Jain SK, Jakovljevic M, James SL, Javanbakht M, Jayaraman S, Jayatilleke AU, Jee SH, Jeemon P, Jha RP, Jha V, Ji JS, Johnson SC, Jonas JB, Joshi A, Jozwiak JJ, Jungari SB, Jürisson M, K M, Kabir Z, Kadel R, Kahsay A, Kahssay M, Kalani R, Kapil U, Karami M, Karami Matin B, Karch A, Karema C, Karimi N, Karimi SM, Karimi-Sari H, Kasaeian A, Kassa GM, Kassa TD, Kassa ZY, Kassebaum NJ, Katibeh M, Katikireddi SV, Kaul A, Kawakami N, Kazemeini H, Kazemi Z, Karyani AK, K C P, Kebede S, Keiyoro PN, Kemp GR, Kengne AP, Keren A, Kereselidze M, Khader YS, Khafaie MA, Khajavi A, Khalid N, Khalil IA, Khan EA, Khan G, Khan MS, Khan MA, Khang YH, Khanna T, Khater MM, Khatony A, Khazaie H, Khoja AT, Khosravi A, Khosravi MH, Khubchandani J, Kiadaliri AA, Kibret GDD, Kim CI, Kim D, Kim JY, Kim YE, Kimokoti RW, Kinfu Y, Kinra S, Kisa A, Kissimova-Skarbek K, Kissoon N, Kivimäki M, Kleber ME, Knibbs LD, Knudsen AKS, Kochhar S, Kokubo Y, Kolola T, Kopec JA, Kosek MN, Kosen S, Koul PA, Koyanagi A, Kravchenko MA, Krishan K, Krishnaswami S, Kuate Defo B, Kucuk Bicer B, Kudom AA, Kuipers EJ, Kulikoff XR, Kumar GA, Kumar M, Kumar P, Kumsa FA, Kutz MJ, Lad SD, Lafranconi A, Lal DK, Lalloo R, Lam H, Lami FH, Lan Q, Langan SM, Lansingh VC, Lansky S, Larson HJ, Laryea DO, Lassi ZS, Latifi A, Lavados PM, Laxmaiah A, Lazarus JV, Lebedev G, Lee PH, Leigh J, Leshargie CT, Leta S, Levi M, Li S, Li Y, Li X, Liang J, Liang X, Liben ML, Lim LL, Lim SS, Limenih MA, Linn S, Liu S, Liu Y, Lodha R, Logroscino G, Lonsdale C, Lorch SA, Lorkowski S, Lotufo PA, Lozano R, Lucas TCD, Lunevicius R, Lyons RA, Ma S, Mabika C, Macarayan ERK, Mackay MT, Maddison ER, Maddison R, Madotto F, Magdy Abd El Razek H, Magdy Abd El Razek M, Maghavani DP, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malik MA, Malta DC, Mamun AA, Manamo WA, Manda AL, Mansournia MA, Mantovani LG, Mapoma CC, Marami D, Maravilla JC, Marcenes W, Marina S, Martinez-Raga J, Martins SCO, Martins-Melo FR, März W, Marzan MB, Mashamba-Thompson TP, Masiye F, Massenburg BB, Maulik PK, Mazidi M, McGrath JJ, McKee M, Mehata S, Mehendale SM, Mehndiratta MM, Mehrotra R, Mehta KM, Mehta V, Mekonen T, Mekonnen TC, Meles HG, Meles KG, Melese A, Melku M, Memiah PTN, Memish ZA, Mendoza W, Mengistu DT, Mengistu G, Mensah GA, Mereta ST, Meretoja A, Meretoja TJ, Mestrovic T, Mezgebe HB, Miangotar Y, Miazgowski B, Miazgowski T, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Misganaw AT, Moazen B, Moges NA, Mohammad KA, Mohammadi M, Mohammadifard N, Mohammadi-Khanaposhtani M, Mohammadnia-Afrouzi M, Mohammed S, Mohammed MA, Mohan V, Mokdad AH, Molokhia M, Monasta L, Moradi G, Moradi M, Moradi-Lakeh M, Moradinazar M, Moraga P, Morawska L, Moreno Velásquez I, Morgado-da-Costa J, Morrison SD, Mosapour A, Moschos MM, Mousavi SM, Muche AA, Muchie KF, Mueller UO, Mukhopadhyay S, Mullany EC, Muller K, Murhekar M, Murphy TB, Murthy GVS, Murthy S, Musa J, Musa KI, Mustafa G, Muthupandian S, Nachega JB, Nagel G, Naghavi M, Naheed A, Nahvijou A, Naik G, Nair S, Najafi F, Nangia V, Nansseu JR, Nascimento BR, Nawaz H, Ncama BP, Neamati N, Negoi I, Negoi RI, Neupane S, Newton CRJ, Ngalesoni FN, Ngunjiri JW, Nguyen HT, Nguyen HT, Nguyen LH, Nguyen M, Nguyen TH, Ningrum DNA, Nirayo YL, Nisar MI, Nixon MR, Nolutshungu N, Nomura S, Norheim OF, Noroozi M, Norrving B, Noubiap JJ, Nouri HR, Nourollahpour Shiadeh M, Nowroozi MR, Nsoesie EO, Nyasulu PS, Ofori-Asenso R, Ogah OS, Ogbo FA, Oh IH, Okoro A, Oladimeji O, Olagunju AT, Olagunju TO, Olivares PR, Olusanya BO, Olusanya JO, Ong SK, Opio JN, Oren E, Ortiz JR, Ortiz A, Ota E, Otstavnov SS, Øverland S, Owolabi MO, Oyekale AS, P A M, Pacella R, Pakhale S, Pakhare AP, Pana A, Panda BK, Panda-Jonas S, Pandey AR, Pandian JD, Parisi A, Park EK, Parry CDH, Parsian H, Patel S, Patle A, Patten SB, Patton GC, Paudel D, Pearce N, Peprah EK, Pereira A, Pereira DM, Perez KM, Perico N, Pervaiz A, Pesudovs K, Petri WA, Petzold M, Phillips MR, Pigott DM, Pillay JD, Pirsaheb M, Pishgar F, Plass D, Polinder S, Pond CD, Popova S, Postma MJ, Pourmalek F, Pourshams A, Poustchi H, Prabhakaran D, Prakash V, Prakash S, Prasad N, Qorbani M, Quistberg DA, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi K, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman M, Rahman MHU, Rahman MA, Rahman SU, Rai RK, Rajati F, Rajsic S, Raju SB, Ram U, Ranabhat CL, Ranjan P, Ranta A, Rasella D, Rawaf DL, Rawaf S, Ray SE, Razo-García C, Rego MAS, Rehm J, Reiner RC, Reinig N, Reis C, Remuzzi G, Renzaho AMN, Resnikoff S, Rezaei S, Rezaeian S, Rezai MS, Riahi SM, Ribeiro ALP, Riojas H, Rios-Blancas MJ, Roba KT, Robinson SR, Roever L, Ronfani L, Roshandel G, Roshchin DO, Rostami A, Rothenbacher D, Rubagotti E, Ruhago GM, Saadat S, Sabde YD, Sachdev PS, Saddik B, Sadeghi E, Moghaddam SS, Safari H, Safari Y, Safari-Faramani R, Safdarian M, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Sajadi HS, Salahshoor MR, Salam N, Salama JS, Salamati P, Saldanha RDF, Salimi Y, Salimzadeh H, Salz I, Sambala EZ, Samy AM, Sanabria J, Sanchez-Niño MD, Santos IS, Santos JV, Santric Milicevic MM, Sao Jose BP, Sardana M, Sarker AR, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Savic M, Sawant AR, Sawhney M, Saxena S, Sayyah M, Scaria V, Schaeffner E, Schelonka K, Schmidt MI, Schneider IJC, Schöttker B, Schutte AE, Schwebel DC, Schwendicke F, Scott JG, Sekerija M, Sepanlou SG, Serván-Mori E, Shabaninejad H, Shackelford KA, Shafieesabet A, Shaheen AA, Shaikh MA, Shakir RA, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Sharafi H, Sharafi K, Sharif M, Sharif-Alhoseini M, Sharma M, Sharma J, Sharma R, She J, Sheikh A, Sheth KN, Shi P, Shibuya K, Shifa GT, Shiferaw MS, Shigematsu M, Shiri R, Shirkoohi R, Shiue I, Shokraneh F, Shrime MG, Shukla SR, Si S, Siabani S, Siddiqi TJ, Sigfusdottir ID, Sigurvinsdottir R, Silpakit N, Silva DAS, Silva JP, Silveira DGA, Singam NSV, Singh JA, Singh V, Sinha AP, Sinha DN, Sitas F, Skirbekk V, Sliwa K, Soares Filho AM, Sobaih BH, Sobhani S, Soofi M, Soriano JB, Soyiri IN, Sposato LA, Sreeramareddy CT, Srinivasan V, Srivastava RK, Starodubov VI, Stathopoulou V, Steel N, Stein DJ, Steiner C, Stewart LG, Stokes MA, Sudaryanto A, Sufiyan MB, Sulo G, Sunguya BF, Sur PJ, Sutradhar I, Sykes BL, Sylaja PN, Sylte DO, Szoeke CEI, Tabarés-Seisdedos R, Tabuchi T, Tadakamadla SK, Takahashi K, Tandon N, Tassew AA, Tassew SG, Tavakkoli M, Taveira N, Tawye NY, Tehrani-Banihashemi A, Tekalign TG, Tekle MG, Temesgen H, Temsah MH, Temsah O, Terkawi AS, Teshale MY, Tessema B, Teweldemedhin M, Thakur JS, Thankappan KR, Thirunavukkarasu S, Thomas LA, Thomas N, Thrift AG, Tilahun B, To QG, Tobe-Gai R, Tonelli M, Topor-Madry R, Topouzis F, Torre AE, Tortajada-Girbés M, Tovani-Palone MR, Towbin JA, Tran BX, Tran KB, Tripathi S, Tripathy SP, Truelsen TC, Truong NT, Tsadik AG, Tsilimparis N, Tudor Car L, Tuzcu EM, Tyrovolas S, Ukwaja KN, Ullah I, Usman MS, Uthman OA, Uzun SB, Vaduganathan M, Vaezi A, Vaidya G, Valdez PR, Varavikova E, Varughese S, Vasankari TJ, Vasconcelos AMN, Venketasubramanian N, Vidavalur R, Villafaina S, Violante FS, Vladimirov SK, Vlassov V, Vollset SE, Vos T, Vosoughi K, Vujcic IS, Wagner GR, Wagnew FWS, Waheed Y, Wang Y, Wang YP, Wassie MM, Weiderpass E, Weintraub RG, Weiss DJ, Weiss J, Weldegebreal F, Weldegwergs KG, Werdecker A, Westerman R, Whiteford HA, Widecka J, Widecka K, Wijeratne T, Winkler AS, Wiysonge CS, Wolfe CDA, Wondemagegn SA, Wu S, Wyper GMA, Xu G, Yadav R, Yakob B, Yamada T, Yan LL, Yano Y, Yaseri M, Yasin YJ, Ye P, Yearwood JA, Yentür GK, Yeshaneh A, Yimer EM, Yip P, Yisma E, Yonemoto N, Yoon SJ, York HW, Yotebieng M, Younis MZ, Yousefifard M, Yu C, Zachariah G, Zadnik V, Zafar S, Zaidi Z, Zaman SB, Zamani M, Zare Z, Zeeb H, Zeleke MM, Zenebe ZM, Zerfu TA, Zhang K, Zhang X, Zhou M, Zhu J, Zodpey S, Zucker I, Zuhlke LJJ, Lopez AD, Gakidou E, Murray CJL. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1684-1735. [PMID: 30496102 PMCID: PMC6227504 DOI: 10.1016/s0140-6736(18)31891-9] [Citation(s) in RCA: 575] [Impact Index Per Article: 95.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 07/14/2018] [Accepted: 08/08/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. METHODS The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. FINDINGS Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. INTERPRETATION This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. FUNDING Bill & Melinda Gates Foundation.
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Roth GA, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe HT, Abebe M, Abebe Z, Abejie AN, Abera SF, Abil OZ, Abraha HN, Abrham AR, Abu-Raddad LJ, Accrombessi MMK, Acharya D, Adamu AA, Adebayo OM, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adib MG, Admasie A, Afshin A, Agarwal G, Agesa KM, Agrawal A, Agrawal S, Ahmadi A, Ahmadi M, Ahmed MB, Ahmed S, Aichour AN, Aichour I, Aichour MTE, Akbari ME, Akinyemi RO, Akseer N, Al-Aly Z, Al-Eyadhy A, Al-Raddadi RM, Alahdab F, Alam K, Alam T, Alebel A, Alene KA, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Alonso J, Altirkawi K, Alvis-Guzman N, Amare AT, Aminde LN, Amini E, Ammar W, Amoako YA, Anber NH, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Ansari H, Ansha MG, Antonio CAT, Anwari P, Aremu O, Ärnlöv J, Arora A, Arora M, Artaman A, Aryal KK, Asayesh H, Asfaw ET, Ataro Z, Atique S, Atre SR, Ausloos M, Avokpaho EFGA, Awasthi A, Quintanilla BPA, Ayele Y, Ayer R, Azzopardi PS, Babazadeh A, Bacha U, Badali H, Badawi A, Bali AG, Ballesteros KE, Banach M, Banerjee K, Bannick MS, Banoub JAM, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barquera S, Barrero LH, Bassat Q, Basu S, Baune BT, Baynes HW, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Belachew AB, Belay E, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Beyranvand T, Bhalla A, Bhattarai S, Bhaumik S, Bhutta ZA, Biadgo B, Biehl MH, Bijani A, Bikbov B, Bilano V, Bililign N, Bin Sayeed MS, Bisanzio D, Biswas T, Blacker BF, Basara BB, Borschmann R, Bosetti C, Bozorgmehr K, Brady OJ, Brant LC, Brayne C, Brazinova A, Breitborde NJK, Brenner H, Briant PS, Britton G, Brugha T, Busse R, Butt ZA, Callender CSKH, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car M, Cárdenas R, Carreras G, Carrero JJ, Carter A, Carvalho F, Castañeda-Orjuela CA, Castillo Rivas J, Castle CD, Castro C, Castro F, Catalá-López F, Cerin E, Chaiah Y, Chang JC, Charlson FJ, Chaturvedi P, Chiang PPC, Chimed-Ochir O, Chisumpa VH, Chitheer A, Chowdhury R, Christensen H, Christopher DJ, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Cohen AJ, Cooper LT, Cortesi PA, Cortinovis M, Cousin E, Cowie BC, Criqui MH, Cromwell EA, Crowe CS, Crump JA, Cunningham M, Daba AK, Dadi AF, Dandona L, Dandona R, Dang AK, Dargan PI, Daryani A, Das SK, Gupta RD, Neves JD, Dasa TT, Dash AP, Davis AC, Davis Weaver N, Davitoiu DV, Davletov K, De La Hoz FP, De Neve JW, Degefa MG, Degenhardt L, Degfie TT, Deiparine S, Demoz GT, Demtsu BB, Denova-Gutiérrez E, Deribe K, Dervenis N, Des Jarlais DC, Dessie GA, Dey S, Dharmaratne SD, Dicker D, Dinberu MT, Ding EL, Dirac MA, Djalalinia S, Dokova K, Doku DT, Donnelly CA, Dorsey ER, Doshi PP, Douwes-Schultz D, Doyle KE, Driscoll TR, Dubey M, Dubljanin E, Duken EE, Duncan BB, Duraes AR, Ebrahimi H, Ebrahimpour S, Edessa D, Edvardsson D, Eggen AE, El Bcheraoui C, El Sayed Zaki M, El-Khatib Z, Elkout H, Ellingsen CL, Endres M, Endries AY, Er B, Erskine HE, Eshrati B, Eskandarieh S, Esmaeili R, Esteghamati A, Fakhar M, Fakhim H, Faramarzi M, Fareed M, Farhadi F, Farinha CSES, Faro A, Farvid MS, Farzadfar F, Farzaei MH, Feigin VL, Feigl AB, Fentahun N, Fereshtehnejad SM, Fernandes E, Fernandes JC, Ferrari AJ, Feyissa GT, Filip I, Finegold S, Fischer F, Fitzmaurice C, Foigt NA, Foreman KJ, Fornari C, Frank TD, Fukumoto T, Fuller JE, Fullman N, Fürst T, Furtado JM, Futran ND, Gallus S, Garcia-Basteiro AL, Garcia-Gordillo MA, Gardner WM, Gebre AK, Gebrehiwot TT, Gebremedhin AT, Gebremichael B, Gebremichael TG, Gelano TF, Geleijnse JM, Genova-Maleras R, Geramo YCD, Gething PW, Gezae KE, Ghadami MR, Ghadimi R, Ghasemi Falavarjani K, Ghasemi-Kasman M, Ghimire M, Gibney KB, Gill PS, Gill TK, Gillum RF, Ginawi IA, Giroud M, Giussani G, Goenka S, Goldberg EM, Goli S, Gómez-Dantés H, Gona PN, Gopalani SV, Gorman TM, Goto A, Goulart AC, Gnedovskaya EV, Grada A, Grosso G, Gugnani HC, Guimaraes ALS, Guo Y, Gupta PC, Gupta R, Gupta R, Gupta T, Gutiérrez RA, Gyawali B, Haagsma JA, Hafezi-Nejad N, Hagos TB, Hailegiyorgis TT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Handal AJ, Hankey GJ, Harb HL, Harikrishnan S, Haro JM, Hasan M, Hassankhani H, Hassen HY, Havmoeller R, Hay RJ, Hay SI, He Y, Hedayatizadeh-Omran A, Hegazy MI, Heibati B, Heidari M, Hendrie D, Henok A, Henry NJ, Herteliu C, Heydarpour F, Heydarpour P, Heydarpour S, Hibstu DT, Hoek HW, Hole MK, Homaie Rad E, Hoogar P, Hosgood HD, Hosseini SM, Hosseinzadeh M, Hostiuc M, Hostiuc S, Hotez PJ, Hoy DG, Hsiao T, Hu G, Huang JJ, Husseini A, Hussen MM, Hutfless S, Idrisov B, Ilesanmi OS, Iqbal U, Irvani SSN, Irvine CMS, Islam N, Islam SMS, Islami F, Jacobsen KH, Jahangiry L, Jahanmehr N, Jain SK, Jakovljevic M, Jalu MT, James SL, Javanbakht M, Jayatilleke AU, Jeemon P, Jenkins KJ, Jha RP, Jha V, Johnson CO, Johnson SC, Jonas JB, Joshi A, Jozwiak JJ, Jungari SB, Jürisson M, Kabir Z, Kadel R, Kahsay A, Kalani R, Karami M, Karami Matin B, Karch A, Karema C, Karimi-Sari H, Kasaeian A, Kassa DH, Kassa GM, Kassa TD, Kassebaum NJ, Katikireddi SV, Kaul A, Kazemi Z, Karyani AK, Kazi DS, Kefale AT, Keiyoro PN, Kemp GR, Kengne AP, Keren A, Kesavachandran CN, Khader YS, Khafaei B, Khafaie MA, Khajavi A, Khalid N, Khalil IA, Khan EA, Khan MS, Khan MA, Khang YH, Khater MM, Khoja AT, Khosravi A, Khosravi MH, Khubchandani J, Kiadaliri AA, Kibret GD, Kidanemariam ZT, Kiirithio DN, Kim D, Kim YE, Kim YJ, Kimokoti RW, Kinfu Y, Kisa A, Kissimova-Skarbek K, Kivimäki M, Knudsen AKS, Kocarnik JM, Kochhar S, Kokubo Y, Kolola T, Kopec JA, Koul PA, Koyanagi A, Kravchenko MA, Krishan K, Kuate Defo B, Kucuk Bicer B, Kumar GA, Kumar M, Kumar P, Kutz MJ, Kuzin I, Kyu HH, Lad DP, Lad SD, Lafranconi A, Lal DK, Lalloo R, Lallukka T, Lam JO, Lami FH, Lansingh VC, Lansky S, Larson HJ, Latifi A, Lau KMM, Lazarus JV, Lebedev G, Lee PH, Leigh J, Leili M, Leshargie CT, Li S, Li Y, Liang J, Lim LL, Lim SS, Limenih MA, Linn S, Liu S, Liu Y, Lodha R, Lonsdale C, Lopez AD, Lorkowski S, Lotufo PA, Lozano R, Lunevicius R, Ma S, Macarayan ERK, Mackay MT, MacLachlan JH, Maddison ER, Madotto F, Magdy Abd El Razek H, Magdy Abd El Razek M, Maghavani DP, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malta DC, Manda AL, Mandarano-Filho LG, Manguerra H, Mansournia MA, Mapoma CC, Marami D, Maravilla JC, Marcenes W, Marczak L, Marks A, Marks GB, Martinez G, Martins-Melo FR, Martopullo I, März W, Marzan MB, Masci JR, Massenburg BB, Mathur MR, Mathur P, Matzopoulos R, Maulik PK, Mazidi M, McAlinden C, McGrath JJ, McKee M, McMahon BJ, Mehata S, Mehndiratta MM, Mehrotra R, Mehta KM, Mehta V, Mekonnen TC, Melese A, Melku M, Memiah PTN, Memish ZA, Mendoza W, Mengistu DT, Mengistu G, Mensah GA, Mereta ST, Meretoja A, Meretoja TJ, Mestrovic T, Mezgebe HB, Miazgowski B, Miazgowski T, Millear AI, Miller TR, Miller-Petrie MK, Mini GK, Mirabi P, Mirarefin M, Mirica A, Mirrakhimov EM, Misganaw AT, Mitiku H, Moazen B, Mohammad KA, Mohammadi M, Mohammadifard N, Mohammed MA, Mohammed S, Mohan V, Mokdad AH, Molokhia M, Monasta L, Moradi G, Moradi-Lakeh M, Moradinazar M, Moraga P, Morawska L, Moreno Velásquez I, Morgado-Da-Costa J, Morrison SD, Moschos MM, Mouodi S, Mousavi SM, Muchie KF, Mueller UO, Mukhopadhyay S, Muller K, Mumford JE, Musa J, Musa KI, Mustafa G, Muthupandian S, Nachega JB, Nagel G, Naheed A, Nahvijou A, Naik G, Nair S, Najafi F, Naldi L, Nam HS, Nangia V, Nansseu JR, Nascimento BR, Natarajan G, Neamati N, Negoi I, Negoi RI, Neupane S, Newton CRJ, Ngalesoni FN, Ngunjiri JW, Nguyen AQ, Nguyen G, Nguyen HT, Nguyen HT, Nguyen LH, Nguyen M, Nguyen TH, Nichols E, Ningrum DNA, Nirayo YL, Nixon MR, Nolutshungu N, Nomura S, Norheim OF, Noroozi M, Norrving B, Noubiap JJ, Nouri HR, Nourollahpour Shiadeh M, Nowroozi MR, Nyasulu PS, Odell CM, Ofori-Asenso R, Ogbo FA, Oh IH, Oladimeji O, Olagunju AT, Olivares PR, Olsen HE, Olusanya BO, Olusanya JO, Ong KL, Ong SKS, Oren E, Orpana HM, Ortiz A, Ortiz JR, Otstavnov SS, Øverland S, Owolabi MO, Özdemir R, P A M, Pacella R, Pakhale S, Pakhare AP, Pakpour AH, Pana A, Panda-Jonas S, Pandian JD, Parisi A, Park EK, Parry CDH, Parsian H, Patel S, Pati S, Patton GC, Paturi VR, Paulson KR, Pereira A, Pereira DM, Perico N, Pesudovs K, Petzold M, Phillips MR, Piel FB, Pigott DM, Pillay JD, Pirsaheb M, Pishgar F, Polinder S, Postma MJ, Pourshams A, Poustchi H, Pujar A, Prakash S, Prasad N, Purcell CA, Qorbani M, Quintana H, Quistberg DA, Rade KW, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi K, Rahimi-Movaghar A, Rahman M, Rahman MHU, Rahman MA, Rai RK, Rajsic S, Ram U, Ranabhat CL, Ranjan P, Rao PC, Rawaf DL, Rawaf S, Razo-García C, Reddy KS, Reiner RC, Reitsma MB, Remuzzi G, Renzaho AMN, Resnikoff S, Rezaei S, Rezaeian S, Rezai MS, Riahi SM, Ribeiro ALP, Rios-Blancas MJ, Roba KT, Roberts NLS, Robinson SR, Roever L, Ronfani L, Roshandel G, Rostami A, Rothenbacher D, Roy A, Rubagotti E, Sachdev PS, Saddik B, Sadeghi E, Safari H, Safdarian M, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Salam N, Salama JS, Salamati P, Saldanha RDF, Saleem Z, Salimi Y, Salvi SS, Salz I, Sambala EZ, Samy AM, Sanabria J, Sanchez-Niño MD, Santomauro DF, Santos IS, Santos JV, Milicevic MMS, Sao Jose BP, Sarker AR, Sarmiento-Suárez R, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Sawant AR, Sawhney M, Saxena S, Sayyah M, Schaeffner E, Schmidt MI, Schneider IJC, Schöttker B, Schutte AE, Schwebel DC, Schwendicke F, Scott JG, Sekerija M, Sepanlou SG, Serván-Mori E, Seyedmousavi S, Shabaninejad H, Shackelford KA, Shafieesabet A, Shahbazi M, Shaheen AA, Shaikh MA, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Sharafi K, Sharif M, Sharif-Alhoseini M, Sharma R, She J, Sheikh A, Shi P, Shiferaw MS, Shigematsu M, Shiri R, Shirkoohi R, Shiue I, Shokraneh F, Shrime MG, Si S, Siabani S, Siddiqi TJ, Sigfusdottir ID, Sigurvinsdottir R, Silberberg DH, Silva DAS, Silva JP, Silva 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Vaduganathan M, Vaezi A, Vaidya G, Valdez PR, Varavikova E, Vasankari TJ, Venketasubramanian N, Villafaina S, Violante FS, Vladimirov SK, Vlassov V, Vollset SE, Vos T, Wagner GR, Wagnew FS, Waheed Y, Wallin MT, Walson JL, Wang Y, Wang YP, Wassie MM, Weiderpass E, Weintraub RG, Weldegebreal F, Weldegwergs KG, Werdecker A, Werkneh AA, West TE, Westerman R, Whiteford HA, Widecka J, Wilner LB, Wilson S, Winkler AS, Wiysonge CS, Wolfe CDA, Wu S, Wu YC, Wyper GMA, Xavier D, Xu G, Yadgir S, Yadollahpour A, Yahyazadeh Jabbari SH, Yakob B, Yan LL, Yano Y, Yaseri M, Yasin YJ, Yentür GK, Yeshaneh A, Yimer EM, Yip P, Yirsaw BD, Yisma E, Yonemoto N, Yonga G, Yoon SJ, Yotebieng M, Younis MZ, Yousefifard M, Yu C, Zadnik V, Zaidi Z, Zaman SB, Zamani M, Zare Z, Zeleke AJ, Zenebe ZM, Zhang AL, Zhang K, Zhou M, Zodpey S, Zuhlke LJ, Naghavi M, Murray CJL. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1736-1788. [PMID: 30496103 PMCID: PMC6227606 DOI: 10.1016/s0140-6736%2818%2932203-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2018] [Revised: 08/29/2018] [Accepted: 08/30/2018] [Indexed: 01/19/2024]
Abstract
BACKGROUND Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. METHODS The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries-Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. FINDINGS At the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5-74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9-19·6), and injuries 8·0% (7·7-8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5-23·9), representing an additional 7·61 million (7·20-8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0-8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0-24·0) and the death rate by 31·8% (30·1-33·3). Total deaths from injuries increased by 2·3% (0·5-4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2-15·1) to 57·9 deaths (55·9-59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8-148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2-40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2-36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990-neonatal disorders, lower respiratory infections, and diarrhoeal diseases-were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. INTERPRETATION Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. FUNDING Bill & Melinda Gates Foundation.
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Lozano R, Fullman N, Abate D, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdel-Rahman O, Abdi A, Abdollahpour I, Abdulkader RS, Abebe ND, Abebe Z, Abejie AN, Abera SF, Abil OZ, Aboyans V, Abraha HN, Abrham AR, Abu-Raddad LJ, Abu-Rmeileh NM, Abyu GY, Accrombessi MMK, Acharya D, Acharya P, Adamu AA, Adebayo OM, Adedeji IA, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adhikari TB, Adib MG, Adou AK, Adsuar JC, Afarideh M, Afshari M, Afshin A, Agarwal G, Aghayan SA, Agius D, Agrawal A, Agrawal S, Ahmadi A, Ahmadi M, Ahmadieh H, Ahmed MB, Ahmed S, Akalu TY, Akanda AS, Akbari ME, Akibu M, Akinyemi RO, Akinyemiju T, Akseer N, Alahdab F, Al-Aly Z, Alam K, Alam T, Albujeer A, Alebel A, Alene KA, Al-Eyadhy A, Alhabib S, Ali R, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Allen CA, Almasi A, Al-Maskari F, Al-Mekhlafi HM, Alonso J, Al-Raddadi RM, Alsharif U, Altirkawi K, Alvis-Guzman N, Amare AT, Amenu K, Amini E, Ammar W, Anber NH, Anderson JA, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Ansari H, Ansariadi A, Ansha MG, Antonio CAT, Anwari P, Appiah LT, Aremu O, Areri HA, Ärnlöv J, Arora M, Aryal KK, Asayesh H, Asfaw ET, Asgedom SW, Asghar RJ, Assadi R, Ataro Z, Atique S, Atre SR, Atteraya MS, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Ayele HT, Ayele Y, Ayer R, Azarpazhooh MR, Azzopardi PS, Azzopardi-Muscat N, Babalola TK, Babazadeh A, Badali H, Badawi A, Balakrishnan K, Bali AG, Banach M, Banerjee A, Banoub JAM, Banstola A, Barac A, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barrero LH, Barthelemy CM, Bassat Q, Basu A, Basu S, Battista RJ, Baune BT, Baynes HW, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Belachew AB, Belay AG, Belay SA, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Benzian H, Berhane A, Berhe AK, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Beyranvand T, Bhala N, Bhalla A, Bhansali A, Bhattarai S, Bhaumik S, Bhutta ZA, Biadgo B, Biehl MH, Bijani A, Bikbov B, Bililign N, Bin Sayeed MS, Birlik SM, Birungi C, Bisanzio D, Biswas T, Bitew H, Bizuneh H, Bjertness E, Bobasa EM, Boufous S, Bourne R, Bozorgmehr K, Bragazzi NL, Brainin M, Brant LC, Brauer M, Brazinova A, Breitborde NJK, Briant PS, Britton G, Brugha T, Bukhman G, Busse R, Butt ZA, Cahuana-Hurtado L, Callender CSKH, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car J, Car M, Cárdenas R, Carrero JJ, Carter A, Carvalho F, Castañeda-Orjuela CA, Castillo Rivas J, Castro F, Causey K, Çavlin A, Cercy KM, Cerin E, Chaiah Y, Chalek J, Chang HY, Chang JC, Chattopadhyay A, Chattu VK, Chaturvedi P, Chiang PPC, Chin KL, Chisumpa VH, Chitheer A, Choi JYJ, Chowdhury R, Christensen H, Christopher DJ, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Claro RM, Claßen TKD, Cohen AJ, Collado-Mateo D, Cooper C, Cooper LT, Cornaby L, Cortinovis M, Costa M, Cousin E, Cromwell EA, Crowe CS, Cunningham M, Daba AK, Dadi AF, Dandona 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Zucker I, Zuhlke LJJ, Lim SS, Murray CJL. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:2091-2138. [PMID: 30496107 PMCID: PMC6227911 DOI: 10.1016/s0140-6736(18)32281-5] [Citation(s) in RCA: 264] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 09/06/2018] [Accepted: 09/12/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of "leaving no one behind", it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment. METHODS We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. FINDINGS The global median health-related SDG index in 2017 was 59·4 (IQR 35·4-67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6-14·0) to a high of 84·9 (83·1-86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. INTERPRETATION The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains-curative interventions in the case of NCDs-towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions-or inaction-today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030. FUNDING Bill & Melinda Gates Foundation.
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C, Zaidi Z, Zaman SB, Zamani M, Zavala-Arciniega L, Zhang AL, Zhang H, Zhang K, Zhou M, Zimsen SRM, Zodpey S, Murray CJL. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1923-1994. [PMID: 30496105 PMCID: PMC6227755 DOI: 10.1016/s0140-6736(18)32225-6] [Citation(s) in RCA: 2618] [Impact Index Per Article: 436.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Revised: 08/31/2018] [Accepted: 09/05/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk-outcome associations. METHODS We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017. FINDINGS In 2017, 34·1 million (95% uncertainty interval [UI] 33·3-35·0) deaths and 1·21 billion (1·14-1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6-62·4) of deaths and 48·3% (46·3-50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39-11·5) deaths and 218 million (198-237) DALYs, followed by smoking (7·10 million [6·83-7·37] deaths and 182 million [173-193] DALYs), high fasting plasma glucose (6·53 million [5·23-8·23] deaths and 171 million [144-201] DALYs), high body-mass index (BMI; 4·72 million [2·99-6·70] deaths and 148 million [98·6-202] DALYs), and short gestation for birthweight (1·43 million [1·36-1·51] deaths and 139 million [131-147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3-6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low. INTERPRETATION By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning. FUNDING Bill & Melinda Gates Foundation.
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