Global Health Workforce Labor Market Projections for 2030

Liua, Jenny X; Goryakin, Yevgeniy; Maeda, Akiko; Bruckner, Tim A.; Scheffler, Richard M.

doi:10.1596/1813-9450-7790

Cited by 70 publications

(83 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…By 2030, the world is projected to experience a net shortage of 15.5 million healthcare workers across 165 countries if current ageing, health coverage and employment trends continue (Liu, Goryakin, Maeda, Bruckner, & Scheffler, ). Although supply and demand are projected to be on balance in high income countries, the balance may be at risk since high income countries—including the USA—heavily rely on immigrants from low‐ and middle‐income countries, which are projected to experience large shortages, to fill these healthcare jobs (Espinoza, ; Liu et al., ; McPake, Squires, Mahat, & Edson, ; Patterson, Snyder, & Frogner, ; Scheffler et al., ). A global concern shared by countries and workers alike is the importance of creating high‐quality healthcare jobs to attract a pipeline of workers to meet demand.…”

Section: Introductionmentioning

confidence: 99%

Occupational mobility among individuals in entry‐level healthcare jobs in the USA

Snyder

Dahal

Frogner

2018

Journal of Advanced Nursing

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Occupational mobility among individuals in entry‐level healthcare jobs in the USA

Snyder

Dahal

Frogner

2018

Journal of Advanced Nursing

View full text Add to dashboard Cite

show abstract

“…However, there are many barriers towards both of these treatment methods. For instance, access to mental health care remains limited, as almost half of the world's population lives in countries where there is less than one psychiatrist per 100,000 people, and continued shortage in mental health care staff is expected for both the near and long term future. Additionally, medications and psychotherapies may carry some level of stigma (particularly among younger people), which further limits their effectiveness.…”

mentioning

confidence: 99%

The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials

et al. 2017

View full text Add to dashboard Cite

The rapid advances and adoption of smartphone technology presents a novel opportunity for delivering mental health interventions on a population scale. Despite multi-sector investment along with wide-scale advertising and availability to the general population, the evidence supporting the use of smartphone apps in the treatment of depression has not been empirically evaluated. Thus, we conducted the first meta-analysis of smartphone apps for depressive symptoms. An electronic database search in May 2017 identified 18 eligible randomized controlled trials of 22 smartphone apps, with outcome data from 3,414 participants. Depressive symptoms were reduced significantly more from smartphone apps than control conditions (g50.38, 95% CI: 0.24-0.52, p<0.001), with no evidence of publication bias. Smartphone interventions had a moderate positive effect in comparison to inactive controls (g50.56, 95% CI: 0.38-0.74), but only a small effect in comparison to active control conditions (g50.22, 95% CI: 0.10-0.33). Effects from smartphone-only interventions were greater than from interventions which incorporated other human/ computerized aspects along the smartphone component, although the difference was not statistically significant. The studies of cognitive training apps had a significantly smaller effect size on depression outcomes (p50.004) than those of apps focusing on mental health. The use of mood monitoring softwares, or interventions based on cognitive behavioral therapy, or apps incorporating aspects of mindfulness training, did not affect significantly study effect sizes. Overall, these results indicate that smartphone devices are a promising self-management tool for depression. Future research should aim to distil which aspects of these technologies produce beneficial effects, and for which populations.

show abstract

“…Modelling the dynamics of the health labor market systematically reveals the inequity in health workforce distribution and its potential causes. Additionally, since the health workforce is crucial to the overall health system and the training cycle of health workforce is very long, ex-ante research is need to understand the factors influencing the health labor market [22]. Planners have used various approaches to forecast the future health workforce supply and demand, while all those methods require us to understand the determinants of the health labor market.…”

Section: Theoretical Modelmentioning

confidence: 99%

Modeling the Dynamics and Spillovers of the Health Labor Market: Evidence from China’s Provincial Panel Data

Zhu

Liu

2018

Sustainability

View full text Add to dashboard Cite

Abstract:Health workforce misdistribution is a major challenge faced by almost all countries. A more profound understanding of the dynamics of the health labor market provides evidence for policy makers to balance health workforce distribution with solid evidence. However, one major deficit of existing theoretical and empirical studies is that they often ignore the intra-regional spillovers of the health labor market. This study builds a theoretical "supply-demand-spillover" model that considers both intra-regional supply and demand-side factors, and inter-regional spillovers, hence providing a theoretical reference point for further in-depth studies. Using spatial econometric panel models, the effect of all determinants and spillovers were empirically measured based on a Chinese panel data set, shedding light on health workforce policies in China.

show abstract

Global Health Workforce Labor Market Projections for 2030

Abstract: Background: In low-and middle-income countries, scaling essential health interventions to achieve health development targets is constrained by the lack of skilled health professionals to deliver services.

Cited by 70 publications

References 11 publications

Occupational mobility among individuals in entry‐level healthcare jobs in the USA

Occupational mobility among individuals in entry‐level healthcare jobs in the USA

The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials

Modeling the Dynamics and Spillovers of the Health Labor Market: Evidence from China’s Provincial Panel Data

Contact Info

Product

Resources

About