TY - JOUR
T1 - Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories
T2 - a systematic analysis for the Global Burden of Disease Study 2017
AU - GBD 2017 SDG Collaborators
AU - Lozano, Rafael
AU - Fullman, Nancy
AU - Abate, Degu
AU - Abay, Solomon M.
AU - Abbafati, Cristiana
AU - Abbasi, Nooshin
AU - Abbastabar, Hedayat
AU - Abd-Allah, Foad
AU - Abdela, Jemal
AU - Abdelalim, Ahmed
AU - Abdel-Rahman, Omar
AU - Abdi, Alireza
AU - Abdollahpour, Ibrahim
AU - Abdulkader, Rizwan Suliankatchi
AU - Abebe, Nebiyu Dereje
AU - Abebe, Zegeye
AU - Abejie, Ayenew Negesse
AU - Abera, Semaw F.
AU - Abil, Olifan Zewdie
AU - Aboyans, Victor
AU - Abraha, Haftom Niguse
AU - Abrham, Aklilu Roba
AU - Abu-Raddad, Laith Jamal
AU - Abu-Rmeileh, Niveen Me
AU - Abyu, Gebre Y.
AU - Accrombessi, Manfred Mario Kokou
AU - Acharya, Dilaram
AU - Acharya, Pawan
AU - Adamu, Abdu A.
AU - Adebayo, Oladimeji M.
AU - Adedeji, Isaac Akinkunmi
AU - Adedoyin, Rufus Adesoji
AU - Adekanmbi, Victor
AU - Adetokunboh, Olatunji O.
AU - Adhena, Beyene Meressa
AU - Adhikari, Tara Ballav
AU - Adib, Mina G.
AU - Adou, Arsène Kouablan
AU - Adsuar, Jose C.
AU - Afarideh, Mohsen
AU - Afshari, Mahdi
AU - Afshin, Ashkan
AU - Agarwal, Gina
AU - Aghayan, Sargis Aghasi
AU - Agius, Dominic
AU - Agrawal, Anurag
AU - Agrawal, Sutapa
AU - Ahmadi, Alireza
AU - Ahmadi, Mehdi
AU - Ahmadieh, Hamid
AU - Ahmed, Muktar Beshir
AU - Ahmed, Sayem
AU - Akalu, Temesgen Yihunie
AU - Akanda, Ali S.
AU - Akbari, Mohammad Esmaeil
AU - Akibu, Mohammed
AU - Akinyemi, Rufus Olusola
AU - Akinyemiju, Tomi
AU - Akseer, Nadia
AU - Alahdab, Fares
AU - Al-Aly, Ziyad
AU - Alam, Khurshid
AU - Alam, Tahiya
AU - Albujeer, Ammar
AU - Alebel, Animut
AU - Alene, Kefyalew Addis
AU - Al-Eyadhy, Ayman
AU - Alhabib, Samia
AU - Ali, Raghib
AU - Alijanzadeh, Mehran
AU - Alizadeh-Navaei, Reza
AU - Aljunid, Syed Mohamed
AU - Alkerwi, Ala'a
AU - Alla, François
AU - Allebeck, Peter
AU - Allen, Christine A.
AU - Almasi, Ali
AU - Al-Maskari, Fatma
AU - Al-Mekhlafi, Hesham M.
AU - Alonso, Jordi
AU - Al-Raddadi, Rajaa M.
AU - Alsharif, Ubai
AU - Altirkawi, Khalid
AU - Alvis-Guzman, Nelson
AU - Amare, Azmeraw T.
AU - Amenu, Kebede
AU - Amini, Erfan
AU - Ammar, Walid
AU - Anber, Nahla Hamed
AU - Anderson, Jason A.
AU - Andrei, Catalina Liliana
AU - Androudi, Sofia
AU - Animut, Megbaru Debalkie
AU - Anjomshoa, Mina
AU - Ansari, Hossein
AU - Ansariadi, Ansariadi
AU - Ansha, Mustafa Geleto
AU - Antonio, Carl Abelardo T.
AU - Anwari, Palwasha
AU - Appiah, Lambert Tetteh
AU - Aremu, Olatunde
AU - Areri, Habtamu Abera
AU - Ärnlöv, Johan
AU - Arora, Monika
AU - Aryal, Krishna K.
AU - Asayesh, Hamid
AU - Asfaw, Ephrem Tsegay
AU - Asgedom, Solomon Weldegebreal
AU - Asghar, Rana Jawad
AU - Assadi, Reza
AU - Ataro, Zerihun
AU - Atique, Suleman
AU - Atre, Sachin R.
AU - Atteraya, Madhu Sudhan
AU - Ausloos, Marcel
AU - Avila-Burgos, Leticia
AU - Avokpaho, Euripide F.G.A.
AU - Awasthi, Ashish
AU - Ayala Quintanilla, Beatriz Paulina
AU - Ayele, Henok Tadesse
AU - Ayele, Yohanes
AU - Ayer, Rakesh
AU - Azarpazhooh, Mahmoud Reza
AU - Azzopardi, Peter S.
AU - Azzopardi-Muscat, Natasha
AU - Babalola, Tesleem Kayode
AU - Babazadeh, Arefeh
AU - Badali, Hamid
AU - Badawi, Alaa
AU - Balakrishnan, Kalpana
AU - Bali, Ayele Geleto
AU - Banach, Maciej
AU - Banerjee, Amitava
AU - Banoub, Joseph Adel Mattar
AU - Banstola, Amrit
AU - Barac, Aleksandra
AU - Barboza, Miguel A.
AU - Barker-Collo, Suzanne Lyn
AU - Bärnighausen, Till Winfried
AU - Barrero, Lope H.
AU - Barthelemy, Celine M.
AU - Bassat, Quique
AU - Basu, Arindam
AU - Basu, Sanjay
AU - Battista, Robert J.
AU - Baune, Bernhard T.
AU - Baynes, Habtamu Wondifraw
AU - Bazargan-Hejazi, Shahrzad
AU - Bedi, Neeraj
AU - Beghi, Ettore
AU - Behzadifar, Masoud
AU - Behzadifar, Meysam
AU - Béjot, Yannick
AU - Bekele, Bayu Begashaw
AU - Belachew, Abate Bekele
AU - Belay, Aregawi Gebreyesus
AU - Belay, Saba Abraham
AU - Belay, Yihalem Abebe
AU - Bell, Michelle L.
AU - Bello, Aminu K.
AU - Bennett, Derrick A.
AU - Bensenor, Isabela M.
AU - Benzian, Habib
AU - Berhane, Adugnaw
AU - Berhe, Abadi Kidanemariam
AU - Berman, Adam E.
AU - Bernabe, Eduardo
AU - Bernstein, Robert S.
AU - Bertolacci, Gregory J.
AU - Beuran, Mircea
AU - Beyranvand, Tina
AU - Bhala, Neeraj
AU - Bhalla, Ashish
AU - Bhansali, Anil
AU - Bhattarai, Suraj
AU - Bhaumik, Soumyadeep
AU - Bhutta, Zulfiqar A.
AU - Biadgo, Belete
AU - Biehl, Molly H.
AU - Bijani, Ali
AU - Bikbov, Boris
AU - Bililign, Nigus
AU - Bin Sayeed, Muhammad Shahdaat
AU - Birlik, Sait Mentes
AU - Birungi, Charles
AU - Bisanzio, Donal
AU - Biswas, Tuhin
AU - Bitew, Helen
AU - Bizuneh, Hailemichael
AU - Bjertness, Espen
AU - Bobasa, Eshetu Mulisa
AU - Boufous, Soufiane
AU - Bourne, Rupert
AU - Bozorgmehr, Kayvan
AU - Bragazzi, Nicola Luigi
AU - Brainin, Michael
AU - Brant, Luisa C.
AU - Brauer, Michael
AU - Brazinova, Alexandra
AU - Breitborde, Nicholas J.K.
AU - Briant, Paul Svitil
AU - Britton, Gabrielle
AU - Brugha, Traolach
AU - Bukhman, Gene
AU - Busse, Reinhard
AU - Butt, Zahid A.
AU - Cahuana-Hurtado, Lucero
AU - Callender, Charlton SKH
AU - Campos-Nonato, Ismael R.
AU - Campuzano Rincon, Julio Cesar
AU - Cano, Jorge
AU - Car, Josip
AU - Car, Mate
AU - Cárdenas, Rosario
AU - Carrero, Juan J.
AU - Carter, Austin
AU - Carvalho, Félix
AU - Castañeda-Orjuela, Carlos A.
AU - Castillo Rivas, Jacqueline
AU - Castro, Franz
AU - Causey, Kate
AU - Çavlin, Alanur
AU - Cercy, Kelly M.
AU - Cerin, Ester
AU - Chaiah, Yazan
AU - Chalek, Julian
AU - Chang, Hsing Yi
AU - Chang, Jung Chen
AU - Chattopadhyay, Aparajita
AU - Chattu, Vijay Kumar
AU - Chaturvedi, Pankaj
AU - Chiang, Peggy Pei Chia
AU - Chin, Ken Lee
AU - Chisumpa, Vesper Hichilombwe
AU - Chitheer, Abdulaal
AU - Choi, Jee Young J.
AU - Chowdhury, Rajiv
AU - Christensen, Hanne
AU - Christopher, Devasahayam J.
AU - Chung, Sheng Chia
AU - Cicuttini, Flavia M.
AU - Ciobanu, Liliana G.
AU - Cirillo, Massimo
AU - Claro, Rafael M.
AU - Claßen, Thomas Khaled Dwayne
AU - Cohen, Aaron J.
AU - Collado-Mateo, Daniel
AU - Cooper, Cyrus
AU - Cooper, Leslie Trumbull
AU - Hankey, Graeme J.
AU - Goli, S.
PY - 2018/11/10
Y1 - 2018/11/10
N2 - 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 S DG 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 attaimnent 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 S DGs. 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.Copyright (C) 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
AB - 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 S DG 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 attaimnent 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 S DGs. 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.Copyright (C) 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
KW - CARDIOVASCULAR-DISEASE
KW - SMOKING PREVALENCE
KW - GENDER-DIFFERENCES
KW - ALCOHOL-USE
KW - SUICIDE
KW - PERSPECTIVE
KW - CONSUMPTION
KW - PREVENTION
KW - TRANSITION
KW - CESSATION
UR - http://www.scopus.com/inward/record.url?scp=85056168651&partnerID=8YFLogxK
U2 - 10.1016/S0140-6736(18)32281-5
DO - 10.1016/S0140-6736(18)32281-5
M3 - Article
C2 - 30496107
SN - 0140-6736
VL - 392
SP - 2091
EP - 2138
JO - Lancet
JF - Lancet
IS - 10159
ER -