TY - JOUR
T1 - Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019
T2 - a systematic analysis for the Global Burden of Disease Study 2019
AU - GBD 2019 Universal Health Coverage Collaborators
AU - Lozano, Rafael
AU - Fullman, Nancy
AU - Mumford, John Everett
AU - Knight, Megan
AU - Barthelemy, Celine M.
AU - Abbafati, Cristiana
AU - Abbastabar, Hedayat
AU - Abd-Allah, Foad
AU - Abdollahi, Mohammad
AU - Abedi, Aidin
AU - Abolhassani, Hassan
AU - Abosetugn, Akine Eshete
AU - Abreu, Lucas Guimarães
AU - Abrigo, Michael R.M.
AU - Abu Haimed, Abdulaziz Khalid
AU - Abushouk, Abdelrahman I.
AU - Adabi, Maryam
AU - Adebayo, Oladimeji M.
AU - Adekanmbi, Victor
AU - Adelson, Jaimie
AU - Adetokunboh, Olatunji O.
AU - Adham, Davoud
AU - Advani, Shailesh M.
AU - Afshin, Ashkan
AU - Agarwal, Gina
AU - Agasthi, Pradyumna
AU - Aghamir, Seyed Mohammad Kazem
AU - Agrawal, Anurag
AU - Ahmad, Tauseef
AU - Akinyemi, Rufus Olusola
AU - Alahdab, Fares
AU - Al-Aly, Ziyad
AU - Alam, Khurshid
AU - Albertson, Samuel B.
AU - Alemu, Yihun Mulugeta
AU - Alhassan, Robert Kaba
AU - Ali, Muhammad
AU - Ali, Saqib
AU - Alipour, Vahid
AU - Aljunid, Syed Mohamed
AU - Alla, François
AU - Almadi, Majid Abdulrahman Hamad
AU - Almasi, Ali
AU - Almasi-Hashiani, Amir
AU - Almasri, Nihad A.
AU - Al-Mekhlafi, Hesham M.
AU - Almulhim, Abdulaziz M.
AU - Alonso, Jordi
AU - Al-Raddadi, Rajaa M.
AU - Altirkawi, Khalid A.
AU - Alvis-Guzman, Nelson
AU - Alvis-Zakzuk, Nelson J.
AU - Amini, Saeed
AU - Amini-Rarani, Mostafa
AU - Amiri, Fatemeh
AU - Amit, Arianna Maever L.
AU - Amugsi, Dickson A.
AU - Ancuceanu, Robert
AU - Anderlini, Deanna
AU - Andrei, Catalina Liliana
AU - Androudi, Sofia
AU - Ansari, Fereshteh
AU - Ansari-Moghaddam, Alireza
AU - Antonio, Carl Abelardo T.
AU - Antony, Catherine M.
AU - Antriyandarti, Ernoiz
AU - Anvari, Davood
AU - Anwer, Razique
AU - Arabloo, Jalal
AU - Arab-Zozani, Morteza
AU - Aravkin, Aleksandr Y.
AU - Aremu, Olatunde
AU - Ärnlöv, Johan
AU - Asaad, Malke
AU - Asadi-Aliabadi, Mehran
AU - Asadi-Pooya, Ali A.
AU - Ashbaugh, Charlie
AU - Athari, Seyyed Shamsadin
AU - Atout, Maha Moh d.Wahbi
AU - Ausloos, Marcel
AU - Avila-Burgos, Leticia
AU - Ayala Quintanilla, Beatriz Paulina
AU - Ayano, Getinet
AU - Ayanore, Martin Amogre
AU - Aynalem, Yared Asmare
AU - Aynalem, Getie Lake
AU - Ayza, Muluken Altaye
AU - Azari, Samad
AU - Azzopardi, Peter S.
AU - B, Darshan B.
AU - Babaee, Ebrahim
AU - Badiye, Ashish D.
AU - Bahrami, Mohammad Amin
AU - Baig, Atif Amin
AU - Bakhshaei, Mohammad Hossein
AU - Bakhtiari, Ahad
AU - Bakkannavar, Shankar M.
AU - Balachandran, Arun
AU - Balassyano, Shelly
AU - Banach, Maciej
AU - Banerjee, Srikanta K.
AU - Banik, Palash Chandra
AU - Bante, Agegnehu Bante
AU - Bante, Simachew Animen
AU - Barker-Collo, Suzanne Lyn
AU - Bärnighausen, Till Winfried
AU - Barrero, Lope H.
AU - Bassat, Quique
AU - Basu, Sanjay
AU - Baune, Bernhard T.
AU - Bayati, Mohsen
AU - Baye, Bayisa Abdissa
AU - Bedi, Neeraj
AU - Beghi, Ettore
AU - Behzadifar, Masoud
AU - Bekuma, Tariku Tesfaye Tesfaye
AU - Bell, Michelle L.
AU - Bensenor, Isabela M.
AU - Berman, Adam E.
AU - Bernabe, Eduardo
AU - Bernstein, Robert S.
AU - Bhagavathula, Akshaya Srikanth
AU - Bhandari, Dinesh
AU - Bhardwaj, Pankaj
AU - Bhat, Anusha Ganapati
AU - Bhattacharyya, Krittika
AU - Bhattarai, Suraj
AU - Bhutta, Zulfiqar A.
AU - Bijani, Ali
AU - Bikbov, Boris
AU - Bilano, Ver
AU - Biondi, Antonio
AU - Birihane, Binyam Minuye
AU - Bockarie, Moses John
AU - Bohlouli, Somayeh
AU - Bojia, Hunduma Amensisa
AU - Bolla, Srinivasa Rao Rao
AU - Boloor, Archith
AU - Brady, Oliver J.
AU - Braithwaite, Dejana
AU - Briant, Paul Svitil
AU - Briggs, Andrew M.
AU - Briko, Nikolay Ivanovich
AU - Burugina Nagaraja, Sharath
AU - Busse, Reinhard
AU - Butt, Zahid A.
AU - Caetano dos Santos, Florentino Luciano
AU - Cahuana-Hurtado, Lucero
AU - Cámera, Luis Alberto
AU - Cárdenas, Rosario
AU - Carreras, Giulia
AU - Carrero, Juan J.
AU - Carvalho, Felix
AU - Castaldelli-Maia, Joao Mauricio
AU - Castañeda-Orjuela, Carlos A.
AU - Castelpietra, Giulio
AU - Castro, Franz
AU - Catalá-López, Ferrán
AU - Causey, Kate
AU - Cederroth, Christopher R.
AU - Cercy, Kelly M.
AU - Cerin, Ester
AU - Chandan, Joht Singh
AU - Chang, Angela Y.
AU - Charan, Jaykaran
AU - Chattu, Vijay Kumar
AU - Chaturvedi, Sarika
AU - Chin, Ken Lee
AU - Cho, Daniel Youngwhan
AU - Choi, Jee Young Jasmine
AU - Christensen, Hanne
AU - Chu, Dinh Toi
AU - Chung, Michael T.
AU - Ciobanu, Liliana G.
AU - Cirillo, Massimo
AU - Comfort, Haley
AU - Compton, Kelly
AU - Cortesi, Paolo Angelo
AU - Costa, Vera Marisa
AU - Cousin, Ewerton
AU - Dahlawi, Saad M.A.
AU - Damiani, Giovanni
AU - Dandona, Lalit
AU - Dandona, Rakhi
AU - Darega Gela, Jiregna
AU - Darwesh, Aso Mohammad
AU - Daryani, Ahmad
AU - Dash, Aditya Prasad
AU - Davey, Gail
AU - Dávila-Cervantes, Claudio Alberto
AU - Davletov, Kairat
AU - De Neve, Jan Walter
AU - Denova-Gutiérrez, Edgar
AU - Deribe, Kebede
AU - Dervenis, Nikolaos
AU - Desai, Rupak
AU - Dharmaratne, Samath Dhamminda
AU - Dhungana, Govinda Prasad
AU - Dianatinasab, Mostafa
AU - Dias da Silva, Diana
AU - Diaz, Daniel
AU - Dippenaar, Ilse N.
AU - Do, Hoa Thi
AU - Dorostkar, Fariba
AU - Doshmangir, Leila
AU - Duncan, Bruce B.
AU - Duraes, Andre Rodrigues
AU - Eagan, Arielle Wilder
AU - Edvardsson, David
AU - El Sayed, Iman
AU - El Tantawi, Maha
AU - Elgendy, Islam Y.
AU - Elyazar, Iqbal RF
AU - Eskandari, Khalil
AU - Eskandarieh, Sharareh
AU - Esmaeilnejad, Saman
AU - Esteghamati, Alireza
AU - Ezekannagha, Oluchi
AU - Farag, Tamer
AU - Farahmand, Mohammad
AU - Faraon, Emerito Jose A.
AU - Farinha, Carla Sofia e.Sá
AU - Farioli, Andrea
AU - Faris, Pawan Sirwan
AU - Faro, Andre
AU - Fazlzadeh, Mehdi
AU - Feigin, Valery L.
AU - Fernandes, Eduarda
AU - Ferrara, Pietro
AU - Feyissa, Garumma Tolu
AU - Filip, Irina
AU - Fischer, Florian
AU - Fisher, James L.
AU - Flor, Luisa Sorio
AU - Foigt, Nataliya A.
AU - Folayan, Morenike Oluwatoyin
AU - Fomenkov, Artem Alekseevich
AU - Foroutan, Masoud
AU - Francis, Joel Msafiri
AU - Fu, Weijia
AU - Fukumoto, Takeshi
AU - Furtado, João M.
AU - Gad, Mohamed M.
AU - Gaidhane, Abhay Motiramji
AU - Gakidou, Emmanuela
AU - Galles, Natalie C.
AU - Gallus, Silvano
AU - Gardner, William M.
AU - Gesesew, Hailay Abrha
AU - McAlinden, Colm
N1 - This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
You are not required to obtain permission to reuse this article.
PY - 2020/10/17
Y1 - 2020/10/17
N2 - Background: Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Methods: Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0–100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Findings: Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2–47·5) in 1990 to 60·3 (58·7–61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9–3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010–2019 relative to 1990–2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6–421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0–3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5–1040·3]) residing in south Asia. Interpretation: The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people—the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close—or how far—all populations are in benefiting from UHC. Funding: Bill & Melinda Gates Foundation.
AB - Background: Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Methods: Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0–100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Findings: Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2–47·5) in 1990 to 60·3 (58·7–61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9–3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010–2019 relative to 1990–2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6–421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0–3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5–1040·3]) residing in south Asia. Interpretation: The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people—the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close—or how far—all populations are in benefiting from UHC. Funding: Bill & Melinda Gates Foundation.
KW - Global Burden of Disease Study 2019
KW - universal health coverage
KW - Geospatial mapping
UR - http://www.scopus.com/inward/record.url?scp=85090485900&partnerID=8YFLogxK
U2 - 10.1016/S0140-6736(20)30750-9
DO - 10.1016/S0140-6736(20)30750-9
M3 - Article
C2 - 32861314
AN - SCOPUS:85090485900
SN - 0140-6736
VL - 396
SP - 1250
EP - 1284
JO - The Lancet
JF - The Lancet
IS - 10258
ER -