| Description: | Episodes containing "Intended management of patient" data (recoded) |
| Category: | Health outcomes ⏵ Externally sourced health outcomes ⏵ Hospital inpatient |
| Linked health outcomes |
| Participants | 382,040 | Value Type | Integer, records | Sexed | Both sexes | Debut | Jun 2013 | |||
| Item count | 382,040 | Item Type | Records | Instances | Singular | Version | Mar 2019 | |||
| Stability | Accruing | Strata | Primary | Array | No | Cost Tier | o1 sX |
Field is currently retired.
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
|
|
|
The intended management of a patient is their planned duration of hospital stay, i.e. whether an overnight stay was anticipated or not.
In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.
Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as Field 41110).
| Preview | Name | Res ID |
|---|---|---|
 | HES Data Dictionary | 141140 |
 | Hospital Episode Statistics | 138483 |
 | Mapping inpatient hospital data across England, Scotland and Wales | 146641 |
| Application ID | Title |
|---|---|
| 69597 | Association of Noise Pollution and Cardiometabolic Disease |
| 9310 | Associations of blood biomarkers with cardiovascular disease and related cardiometabolic outcomes and risk prediction in the clinical setting |
| 19056 | Copy-number variants in Cardiovascular and Neuropsychiatric disorders |
| 26629 | Cross-cultural variations in female reproductive health and non-communicable diseases: analysis of 500,000 participants from the UKBiobank and the InterLACE consortium |
| 21552 | Detection of large-scale copy-number and copy-neutral mosaic alterations in circulating leukocyte DNA of UK Biobank cancer cases and cancer-free controls |
| 23183 | Dietary iron intake and public health risk |
| 48818 | Evaluate the causal effects of diet-modifiable biomarkers on clinical outcomes using Mendelian randomization |
| 13352 | Evaluation of Association of TRPV4 Variation with Heart Failure, Respiratory, Renal and Menstruation Phenotypes |
| 27034 | Evaluation of genetic and non-genetic risk factors for degenerative rotator cuff disease. |
| 7089 | Exome Sequencing of All Premature Coronary Artery Disease Participants in UK Biobank |
| 61650 | Genetic variation in sodium-glucose cotransporter 2 (SGLT2) and glucagon-like peptide-1 receptor (GLP1R) and cardiovascular outcomes |
| 25205 | Identification and characterization of functional variants with a causal role in chronic cardiopulmonary diseases |
| 8294 | Identifying environmental and genetic risk factors for endometrial cancer subtypes |
| 40644 | Investigating aetiology, associations and causality in diseases of the head and neck |
| 19136 | Lung Health: Genes and environment |
| 46466 | Serum cardiometabolic and liver function markers in relation to colorectal cancer risk and survival |
| 52217 | Serum cardiometabolic biomarkers in relation to all-cause and cause-specific mortality |
| 14801 | Social isolation and health - what are the mechanisms? |
| 40086 | The association of type 2 diabetes and HbA1c with subsequent risk of cancer at different anatomical sites |
| 3913 | The genetics of HbA1c: biological pathways and impact on diabetes and cardiovascular disease risk. |
| 15008 | The impact of smoking, alcohol and adiposity on health outcomes in the UK Biobank |
| 22783 | The joint analysis of imaging data and genetic data for early tumor detection, prevention, diagnosis and treatment |
| 17488 | Understanding the Genetic Basis of Cardiac Arrhythmias |
| 20684 | Understanding the associations between environmental exposures, health behaviours and health outcomes |
| 41686 | Understanding the biological, lifestyle and environmental risks and outcomes for multimorbidity in psychiatric disorders |
Enabling scientific discoveries that improve human health