Academic Journal
Measuring the availability of human resources for health and its relationship to universal health coverage for 204 countries and territories from 1990 to 2019: A systematic analysis for the Global Burden of Disease Study 2019
| Title: | Measuring the availability of human resources for health and its relationship to universal health coverage for 204 countries and territories from 1990 to 2019: A systematic analysis for the Global Burden of Disease Study 2019 |
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| Authors: | Haakenstad, A., Irvine, C.M.S., Knight, M., Bintz, C., Aravkin, A.Y., Zheng, P., Gupta, V., Abrigo, M.R.M., Abushouk, A.I., Adebayo, O.M., Agarwal, G., Alahdab, F., Al-Aly, Z., Alam, K., Alanzi, T.M., Alcalde-Rabanal, J.E., Alipour, V., Alvis-Guzman, N., Amit, A.M.L., Andrei, C.L., Andrei, T., Antonio, C.A.T., Arabloo, J., Aremu, O., Ayanore, M.A., Banach, M., Bärnighausen, T.W., Barthelemy, C.M., Bayati, M., Benzian, H., Berman, A.E., Bienhoff, K., Bijani, A., Bikbov, B., Biondi, A., Boloor, A., Busse, R., Butt, Z.A., Cámera, L.A., Campos-Nonato, I.R., Cárdenas, R., Carvalho, F., Chansa, C., Chattu, S.K., Chattu, V.K., Chu, D-T, Dai, X., Dandona, L., Dandona, R., Dangel, W.J., Daryani, A., De Neve, J-W, Dhimal, M., Dipeolu, I.O., Djalalinia, S., Do, H.T., Doshi, C.P., Doshmangir, L., Ehsani-Chimeh, E., El Tantawi, M., Fernandes, E., Fischer, F., Foigt, N.A., Fomenkov, A.A., Foroutan, M., Fukumoto, T., Fullman, N., Gad, M.M., Ghadiri, K., Ghafourifard, M., Ghashghaee, A., Glucksman, T., Goudarzi, H., Gupta, R.D., Hamadeh, R.R., Hamidi, S., Haro, J.M., Hasanpoor, E., Hay, S.I., Hegazy, M.I., Heibati, B., Henry, N.J., Hole, M.K., Hossain, N., Househ, M., Ilesanmi, O.S., Imani-Nasab, M-H, Irvani, S.S.N., Islam, S.M.S., Jahani, M.A., Joshi, A., Kalhor, R., Kayode, G.A., Khalid, N., Khatab, K., Kisa, A., Kochhar, S., Krishan, K., Kuate Defo, B., Lal, D.K., Lami, F.H., Larsson, A.O., Leasher, J.L., LeGrand, K.E., Lim, L-L, Mahotra, N.B., Majeed, A., Maleki, A., Manjunatha, N., Massenburg, B.B., Mestrovic, T., Mini, G.K., Mirica, A., Mirrakhimov, E.M., Mohammad, Y., Mohammed, S., Mokdad, A.H., Morrison, S.D., Naghavi, M., Ndwandwe, D.E., Negoi, I., Negoi, R.I., Ngunjiri, J.W., Nguyen, C.T., Nigatu, Y.T., Onwujekwe, O.E., Ortega-Altamirano, D.V., Otstavnov, N., Otstavnov, S.S., Owolabi, M.O., Pakhare, A.P., Pepito, V.C.F., Perico, N., Pham, H.Q., Pigott, D.M., Pokhrel, K.N., Rabiee, M., Rabiee, N., Rahimi-Movaghar, V., Rawaf, D.L., Rawaf, S., Rawal, L., Remuzzi, G., Renzaho, A.M.N., Resnikoff, S., Rezaei, N., Rezapour, A., Rickard, J., Roever, L., Sahu, M., Samy, A.M., Sanabria, J., Santric-Milicevic, M.M., Saraswathy, S.Y.I., Seedat, S., Senthilkumaran, S., Serván-Mori, E., Shaikh, M.A., Sheikh, A., Silva, D.A.S., Stein, C., Stein, D.J., Titova, M.V., Topp, S.M., Tovani-Palone, M.R., Ullah, S., Unnikrishnan, B., Vacante, M., Valdez, P.R., Vasankari, T.J., Venketasubramanian, N., Vlassov, V., Vos, T., Yearwood, J.A., Yonemoto, N., Younis, M.Z., Yu, C., Zadey, S., Zaman, S.B., Zerfu, T.A., Zhang, Z-J, Ziapour, A., Zodpey, S., Lim, S.S., Murray, C.J.L., Lozano, R. |
| Publisher Information: | Elsevier |
| Publication Year: | 2022 |
| Description: | Background ; Human resources for health (HRH) include a range of occupations that aim to promote or improve human health. The UN Sustainable Development Goals (SDGs) and the WHO Health Workforce 2030 strategy have drawn attention to the importance of HRH for achieving policy priorities such as universal health coverage (UHC). Although previous research has found substantial global disparities in HRH, the absence of comparable cross-national estimates of existing workforces has hindered efforts to quantify workforce requirements to meet health system goals. We aimed to use comparable and standardised data sources to estimate HRH densities globally, and to examine the relationship between a subset of HRH cadres and UHC effective coverage performance. ; Methods ; Through the International Labour Organization and Global Health Data Exchange databases, we identified 1404 country-years of data from labour force surveys and 69 country-years of census data, with detailed microdata on health-related employment. From the WHO National Health Workforce Accounts, we identified 2950 country-years of data. We mapped data from all occupational coding systems to the International Standard Classification of Occupations 1988 (ISCO-88), allowing for standardised estimation of densities for 16 categories of health workers across the full time series. Using data from 1990 to 2019 for 196 of 204 countries and territories, covering seven Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) super-regions and 21 regions, we applied spatiotemporal Gaussian process regression (ST-GPR) to model HRH densities from 1990 to 2019 for all countries and territories. We used stochastic frontier meta-regression to model the relationship between the UHC effective coverage index and densities for the four categories of health workers enumerated in SDG indicator 3.c.1 pertaining to HRH: physicians, nurses and midwives, dentistry personnel, and pharmaceutical personnel. We identified minimum workforce density thresholds required to meet a ... |
| Document Type: | article in journal/newspaper |
| File Description: | |
| Language: | English |
| Relation: | ispartof: The Lancet spage 2129 epage 2154 issue Art. 10341 vol 399; WOS:000833588800025; 991005540759907891; https://researchportal.murdoch.edu.au/view/delivery/61MUN_INST/12135231320007891/13136730880007891; alma:61MUN_INST/bibs/991005540759907891 |
| DOI: | 10.1016/S0140-6736(22)00532-3 |
| Availability: | https://doi.org/10.1016/S0140-6736(22)00532-3 https://researchportal.murdoch.edu.au/esploro/outputs/journalArticle/Measuring-the-availability-of-human-resources/991005540759907891 https://researchportal.murdoch.edu.au/view/delivery/61MUN_INST/12135231320007891/13136730880007891 |
| Rights: | © 2022 The Authors. ; Open ; CC BY V4.0 |
| Accession Number: | edsbas.48043DE5 |
| Database: | BASE |
| DOI: | 10.1016/S0140-6736(22)00532-3 |
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