“…One paper can find that a certain country is highly efficient in producing healthcare while another can find that the same country is highly inefficient. These findings have been supported in Gearhart [8]. Fig.…”
Section: Resultssupporting
confidence: 78%
“…Similar variability can be seen in the U.S., which rankings 11th to 25th. Note, however, that the rankings provided by the papers that utilize broad input-output measures [8, 9, 22, 23] seem to be much more consistent with each other than the rankings from the other papers, which utilize more specific input-output variables. Note that the broad input-output measures are ones that have some measure of life expectancy, some measure of early age mortality, some measure of total education, and some measure of per capita healthcare spending.…”
Section: Resultsmentioning
confidence: 87%
“…As can be seen from Table 2, the papers with the broadest input-output measures [8, 9, 22, 23] share 29 out of the 34 OECD countries in common in 2000, while sharing 26 out of the 34 OECD countries in common in 2012.…”
Section: Resultsmentioning
confidence: 99%
“…However, nearly two-thirds of the correlations are less than 0.4 (weakly positive), while almost 10 % of the correlations are negative. The 3 papers that utilize the broad input-output measures [8, 9, 22, 23] have Pearson correlation coefficients that are higher, when compared to one another, than the other specifications that use more specific measures. The average Pearson correlation coefficient between the papers that utilize the broad measures [8, 9, 22, 23] is slightly above 0.5, while the average for the rest of the specifications is slightly less than 0.3.…”
Section: Resultsmentioning
confidence: 99%
“…This paper finds that efficiency studies that utilize the broad measures only ([8]; [9]; [22, 23]) have efficiency rankings that are strongly positively correlated with each other, and that studies that utilize alternative and more specific input and output measures have efficiency rankings that are weakly positively correlated (and sometimes negatively correlated) with each other. This shows the fact that other, important, socio-economic, quality, and demographic variables should be used in a second stage regression as environmental variables.…”
Section: Background and Literature Reviewmentioning
Since 2000 several papers have examined the efficiency of healthcare delivery systems worldwide. These papers have extended the literature using drastically different input and output combinations from one another, with little theoretical or empirical support backing these specifications. Issues arise that many of these inputs and outputs are available for a subset of OECD countries each year. Using a common estimator and the different specifications proposed leads to the result that efficiency rankings across papers can diverge quite significantly, with several countries being highly efficient in one specification and highly inefficient in another. Broad input-output measures that are collected annually provide consistent efficiency rankings across specifications, compared to specifications that utilize specific measures collected infrequently. This paper also finds that broad output measures that are not quality-adjusted, such as life expectancy, seem to be a suitable alternative for infrequently collected quality-adjusted output measures, such as disability adjusted life years.
“…One paper can find that a certain country is highly efficient in producing healthcare while another can find that the same country is highly inefficient. These findings have been supported in Gearhart [8]. Fig.…”
Section: Resultssupporting
confidence: 78%
“…Similar variability can be seen in the U.S., which rankings 11th to 25th. Note, however, that the rankings provided by the papers that utilize broad input-output measures [8, 9, 22, 23] seem to be much more consistent with each other than the rankings from the other papers, which utilize more specific input-output variables. Note that the broad input-output measures are ones that have some measure of life expectancy, some measure of early age mortality, some measure of total education, and some measure of per capita healthcare spending.…”
Section: Resultsmentioning
confidence: 87%
“…As can be seen from Table 2, the papers with the broadest input-output measures [8, 9, 22, 23] share 29 out of the 34 OECD countries in common in 2000, while sharing 26 out of the 34 OECD countries in common in 2012.…”
Section: Resultsmentioning
confidence: 99%
“…However, nearly two-thirds of the correlations are less than 0.4 (weakly positive), while almost 10 % of the correlations are negative. The 3 papers that utilize the broad input-output measures [8, 9, 22, 23] have Pearson correlation coefficients that are higher, when compared to one another, than the other specifications that use more specific measures. The average Pearson correlation coefficient between the papers that utilize the broad measures [8, 9, 22, 23] is slightly above 0.5, while the average for the rest of the specifications is slightly less than 0.3.…”
Section: Resultsmentioning
confidence: 99%
“…This paper finds that efficiency studies that utilize the broad measures only ([8]; [9]; [22, 23]) have efficiency rankings that are strongly positively correlated with each other, and that studies that utilize alternative and more specific input and output measures have efficiency rankings that are weakly positively correlated (and sometimes negatively correlated) with each other. This shows the fact that other, important, socio-economic, quality, and demographic variables should be used in a second stage regression as environmental variables.…”
Section: Background and Literature Reviewmentioning
Since 2000 several papers have examined the efficiency of healthcare delivery systems worldwide. These papers have extended the literature using drastically different input and output combinations from one another, with little theoretical or empirical support backing these specifications. Issues arise that many of these inputs and outputs are available for a subset of OECD countries each year. Using a common estimator and the different specifications proposed leads to the result that efficiency rankings across papers can diverge quite significantly, with several countries being highly efficient in one specification and highly inefficient in another. Broad input-output measures that are collected annually provide consistent efficiency rankings across specifications, compared to specifications that utilize specific measures collected infrequently. This paper also finds that broad output measures that are not quality-adjusted, such as life expectancy, seem to be a suitable alternative for infrequently collected quality-adjusted output measures, such as disability adjusted life years.
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