2019
DOI: 10.1080/0376835x.2019.1649117
|View full text |Cite
|
Sign up to set email alerts
|

Inequality in healthcare R&D outcomes: a model of process disruption

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
6
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 30 publications
0
6
0
Order By: Relevance
“…They suggest to build a transparent and realistic plan of health goals and the necessary R&D expenditures to achieve these goals. Similarly, Callaghan et al ( 2019 ) confirm that divergence in R&D investments boosts disparity of healthcare conditions across countries. Many reasons make this disparity evident between developed and developing countries.…”
Section: Literature Reviewmentioning
confidence: 87%
See 3 more Smart Citations
“…They suggest to build a transparent and realistic plan of health goals and the necessary R&D expenditures to achieve these goals. Similarly, Callaghan et al ( 2019 ) confirm that divergence in R&D investments boosts disparity of healthcare conditions across countries. Many reasons make this disparity evident between developed and developing countries.…”
Section: Literature Reviewmentioning
confidence: 87%
“…Despite the key role of health expenditure in enhancing health outcomes, some other scholars have shown the significance of R&D in improving health outcomes (Blaya et al 2010 ; Paruk et al 2014 ; Tsai et al 2018 ; Callaghan et al 2019 ). For instance, Paruk et al ( 2014 ) focus on the appropriate funds devoted to R&D health care in South Africa and they show that more funds allocated for R&D health care promote achieving general healthcare goals.…”
Section: Literature Reviewmentioning
confidence: 99%
See 2 more Smart Citations
“…Hypothesis A1, that openness to change values are positively and significantly associated with postgraduate supervision throughput, and Hypothesis A4, which relates to selftranscendence values, are not supported. These results run counter to the naïve expectation, supported by the descriptive statistics, that innovativeness (associated with openness to change values) and supportive caring (associated with self-transcendence values) would dominate in their contributions to postgraduate supervision throughput.Hypothesis A2 is also not supported, in that if innovativeness were to drive postgraduate supervision throughput, then conservation values would be expected to be negatively associated, but they are not significant.The finding that innovative values are not significantly associated with postgraduate supervision throughput seems to reflect a growing stream of literature that has identified a seeming lack of innovativeness in academic work(Callaghan, Callaghan and Jogee 2019) in scientific methodologies(Callaghan 2017;2019), as well the failure of academic research to take up new opportunities offered by novel technologies(Rubin and Callaghan 2019).…”
mentioning
confidence: 98%