| Title |
Hospital heterogeneity: what drives the quality of health care
|
|---|---|
| Published in |
HEPAC Health Economics in Prevention and Care, April 2017
|
| DOI | 10.1007/s10198-017-0891-9 |
| Pubmed ID | |
| Authors |
Manhal Ali, Reza Salehnejad, Mohaimen Mansur |
| Abstract |
A major feature of health care systems is substantial variation in health care quality across hospitals. The quality of stroke care widely varies across NHS hospitals. We investigate factors that may explain variations in health care quality using measures of quality of stroke care. We combine NHS trust data from the National Sentinel Stroke Audit with other data sets from the Office for National Statistics, NHS and census data to capture hospitals' human and physical assets and organisational characteristics. We employ a class of non-parametric methods to explore the complex structure of the data and a set of correlated random effects models to identify key determinants of the quality of stroke care. The organisational quality of the process of stroke care appears as a fundamental driver of clinical quality of stroke care. There are rich complementarities amongst drivers of quality of stroke care. The findings strengthen previous research on managerial and organisational determinants of health care quality. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 16% |
| Student > Bachelor | 11 | 14% |
| Student > Ph. D. Student | 9 | 11% |
| Researcher | 7 | 9% |
| Other | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 24 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 11% |
| Economics, Econometrics and Finance | 9 | 11% |
| Computer Science | 8 | 10% |
| Business, Management and Accounting | 7 | 9% |
| Nursing and Health Professions | 6 | 7% |
| Other | 17 | 21% |
| Unknown | 25 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 April 2019.
All research outputs
#16,159,666
of 25,540,105 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#859
of 1,309 outputs
Outputs of similar age
#184,100
of 323,782 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#17
of 25 outputs
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