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Ten minute rule motion for leave to bring in a Bill. Agreed to on question. Presentation and first reading (Bill 333). To be read a second time on 27 April.
Ten minute rule motion for leave to bring in a Bill. Agreed to on question. Presentation and first reading (Bill 333). To be read a second time on 27 April.
I beg to move,"That leave be given to bring in a Bill to require the Secretary of State to set up a body to establish a public initiative for the prevention of suicide and self harm, to work with internet providers and others to reduce access to information on the...
I beg to move,"That leave be given to bring in a Bill to require the Secretary of State to set up a body to establish a public initiative for the prevention of suicide and self harm, to work with internet providers and others to reduce access to information on the...
To ask the Secretary of State for Justice what steps his Department is taking to reduce the number of cases of self-harm in women's prisons.
To ask the Secretary of State for Justice what steps his Department is taking to reduce the number of cases of self-harm in women's prisons.
To ask the Secretary of State for Health what estimate his Department has made of the number of children and young people of each gender and of each age who committed acts of self-harm in England in 2011.
To ask the Secretary of State for Health what estimate his Department has made of the number of children and young people of each gender and of each age who committed acts of self-harm in England in 2011.
| The total finished in-patient admission episodes¹ for intentional self-harm² by sex (including unknown) and age (under 19) for each year 2001-02 to 2010-11. Additionally, total A&E attendances for intentional self-harm³ by sex (including unknown) and age (under 19) for each year 2007-08 to 2010-11—Activity in English NHS hospitals and English NHS commissioned activity in the independent sector | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| In-patients | |||||||||||
| Sex | Age | 2010-11 | 2009-10 | 2008-09 | 2007-08 | 2006-07 | 2005-06 | 2004-05 | 2003-04 | 2002-03 | 2001-02 |
| Total for ages 0-18 (excluding unknown) | 17,694 | 16,293 | 16,240 | 17,066 | 15,965 | 15,873 | 13,653 | 13,345 | 11,898 | 11,889 | |
| Males | 0 | 4 | 4 | 2 | 5 | 4 | 6 | 2 | 4 | 2 | 8 |
| Males | 1 | 11 | 7 | 14 | 12 | 20 | 19 | 18 | 12 | 21 | 15 |
| Males | 2 | 13 | 12 | 22 | 16 | 25 | 19 | 24 | 22 | 21 | 25 |
| Males | 3 | 10 | 7 | 7 | 21 | 11 | 11 | 11 | 5 | 11 | 11 |
| Males | 4 | 3 | 3. | 6 | 5 | 5 | 4 | 4 | 7 | 3 | 9 |
| Males | 5 | 6 | 3 | 1 | 2 | 5 | 3 | 4 | 7 | 2 | 6 |
| Males | 6 | 4 | 7 | 4 | 2 | 3 | 1 | 3 | 4 | 4 | 3 |
| Males | 7 | 4 | 12 | 8 | 1 | 1 | 3 | 2 | 6 | 3 | 5 |
| Males | 8 | 7 | 3 | 9 | 8 | 8 | 10 | 5 | 10 | 10 | 8 |
| Males | 9 | 6 | 13 | 8 | 9 | 11 | IS | 7 | 23 | 9 | 15 |
| Males | 10 | 8 | 15 | 18 | 16 | 19 | 19 | 16 | 21 | 27 | 32 |
| Males | 11 | 25 | 35 | 26 | 27 | 38 | 44 | 49 | 58 | 54 | 52 |
| Males | 12 | 64 | 47 | 82 | 88 | 85 | 81 | 95 | 108 | 97 | 91 |
| Males | 13 | 100 | 131 | 142 | 145 | 140 | 155 | 174 | 201 | 156 | 181 |
| Males | 14 | 284 | 222 | 278 | 344 | 343 | 359 | 292 | 337 | 263 | 327 |
| Males | 15 | 567 | 503 | 532 | 560 | 606 | 533 | 435 | 499 | 469 | 441 |
| Males | 16 | 655 | 601 | 604 | 618 | 561 | 522 | 495 | 448 | 389 | 394 |
| Males | 17 | 831 | 822 | 773 | 756 | 660 | 718 | 587 | 500 | 442 | 506 |
| Males | 18 | 1,176 | 1,021 | 1,071 | 1,033 | 990 | 915 | 700 | 653 | 582 | 706 |
| Females | 0 | 3 | 3 | 5 | 3 | 8 | 3 | 5 | 4 | 10 | 7 |
| Females | 1 | 11 | 12 | 6 | 16 | 9 | 23 | 10 | 20 | 12 | 16 |
| Females | 2 | 14 | 17 | 18 | 8 | 23 | 17 | 11 | 21 | 18 | 19 |
| Females | 3 | 10 | 9 | 5 | 3 | 6 | 9 | 7 | 12 | 7 | 13 |
| Females | 4 | 4 | 2 | 3 | 5 | 3 | 5 | 3 | 3 | 6 | 7 |
| Females | 5 | 3 | 5 | 5 | 4 | 1 | 2 | 3 | 3 | 3 | |
| Females | 6 | 3 | 3 | 3 | 1 | 4 | 4 | 3 | 3 | ||
| Females | 7 | 8 | 1 | 1 | 6 | 7 | 4 | 3 | 3 | 5 | 3 |
| Females | 8 | 3 | 4 | 2 | 4 | 7 | 6 | 4 | 9 | 4 | 7 |
| Females | 9 | 4 | 1 | 8 | 10 | 11 | 12 | 2 | 20 | 4 | 6 |
| Females | 10 | 7 | 15 | 14 | 13 | 12 | 11 | 19 | 18 | 13 | 15 |
| Females | 11 | 44 | 45 | 56 | 54 | 60 | 87 | 58 | 73 | 75 | 69 |
| Females | 12 | 265 | 220 | 237 | 337 | 286 | 308 | 293 | 318 | 306 | 248 |
| Females | 13 | 900 | 859 | 920 | 1,048 | 956 | 1,062 | 962 | 1,007 | 899 | 813 |
| Females | 14 | 2,172 | 1,917 | 1,998 | 2,069 | 2,079 | 2,227 | 1,973 | 1,980 | 1,890 | 1,678 |
| Females | 15 | 2,962 | 2,749 | 2,640 | 2,960 | 2,828 | 2,791 | 2,507 | 2,651 | 2,377 | 2,198 |
| Females | 16 | 2,500 | 2,319 | 2,254 | 2,427 | 2,130 | 2,060 | 1,780 | 1,570 | 1,442 | 1,457 |
| Females | 17 | 2,491 | 2,321 | 2,229 | 2,195 | 2,013 | 1,913 | 1,542 | 1,419 | 1,139 | 1,217 |
| Females | 18 | 2,512 | 2,323 | 2,229 | 2,236 | 1,990 | 1,894 | 1,545 | 1,286 | 1,120 | 1,278 |
| Source: Hospital Episode Statistics (HES), The NHS information Centre for health and social care. |
| A&E | |||||
|---|---|---|---|---|---|
| Sex | Age | 2010-11 | 2009-10 | 2008-09 | 2007-08 |
| Total for ages 0-18 (excluding unknown) | 18,253 | 17,614 | 17,122 | 16,854 | |
| Males | 0 | 43 | 34 | 42 | 38 |
| Males | 1 | 77 | 114 | 91 | 94 |
| Males | 2 | 112 | 108 | 111 | 93 |
| Males | 3 | 73 | 77 | 69 | 72 |
| Males | 4 | 28 | 56 | 58 | 39 |
| Males | 5 | 22 | 53 | 35 | 27 |
| Males | 6 | 26 | 23 | 35 | 27 |
| Males | 7 | 26 | 17 | 28 | 28 |
| Males | 8 | 24 | 20 | 22 | 20 |
| Males | 9 | 30 | 28 | 21 | 28 |
| Males | 10 | 40 | 32 | 41 | 33 |
| Males | 11 | 61 | 48 | 58 | 57 |
| Males | 12 | 129 | 103 | 125 | 130 |
| Males | 13 | 203 | 205 | 219 | 224 |
| Males | 14 | 353 | 386 | 379 | 388 |
| Males | 15 | 620 | 659 | 660 | 704 |
| Males | 16 | 949 | 850 | 935 | 884 |
| Males | 17 | 1,284 | 1,281 | 1,181 | 1,247 |
| Males | 18 | 1,800 | 1,690 | 1,693 | 1,502 |
| Females | 0 | 28 | 29 | 36 | 34 |
| Females | 1 | 85 | 98 | 92 | 96 |
| Females | 2 | 83 | 90 | 89 | 86 |
| Females | 3 | 43 | 50 | 51 | 61 |
| Females | 4 | 26 | 39 | 35 | 42 |
| Females | 5 | 21 | 20 | 24 | 28 |
| Females | 6 | 19 | 16 | 16 | 29 |
| Females | 7 | 18 | 13 | 21 | 25 |
| Females | 8 | 11 | 16 | 17 | 13 |
| Females | 9 | 25 | 15 | 13 | 26 |
| Females | 10 | 21 | 32 | 30 | 17 |
| Females | 11 | 39 | 47 | 46 | 41 |
| Females | 12 | 163 | 173 | 167 | 186 |
| Females | 13 | 588 | 566 | 548 | 617 |
| Females | 14 | 1,404 | 1,347 | 1,284 | 1,308 |
| Females | 15 | 1,971 | 1,849 | 1,760 | 1,695 |
| Females | 16 | 2,263 | 2,211 | 2,123 | 2,180 |
| Females | 17 | 2,569 | 2,484 | 2,427 | 2,294 |
| Females | 18 | 2,976 | 2,735 | 2,540 | 2,441 |
| ¹ Finished admission episodes A finished admission episode (FAE) is the first period of in-patient care under one consultant within one health care provider. FAEs are counted against the year in which the admission episode finishes. Admissions do not represent the number of in-patients, as a person may have more than one admission within the year. ² Cause codes A supplementary code that indicates the nature of any external cause of injury, poisoning or other adverse effects. Only the first external cause code which is coded within the episode is counted in Hospital Episode Statistics (HES). ICD10 Cause codes used for Intentional self-harm are X60-84 and Y87.0 ³ A&E Patient Group A code that indicates the reason for the A&E episode. Group 30 indicates those admitted for intentional self-harm A&E Treatment Treatment is any intervention that takes place during an A&E attendance. For the financial year 2007-08, providers had the option of using one of three different treatment classifications of codes; A&E treatment codes, OPCS-4 and READ-5. For more information on these, visit HESonline: www.hesonline.nhs.uk From April 2008, all providers are mandated to use the A&E classification of treatment codes. Analysis of treatment based on A&E HES data is produced using A&E treatment codes unless stated otherwise. Providers are able to submit unlimited number of treatments for each attendance; however, only the first 12 treatment codes are available in HES. Analysis on treatment in A&E HES is based on the primary treatment code submitted, unless stated otherwise. The coverage and quality of treatment data available in 2007-08 A&E HES is poor and therefore great caution is needed before interpreting this in any way. Further information on the quality and coverage of treatment data is available in the 2007-08 A&E HES publication, which is available on HESonline: www.hesonline.nhs.uk. A&E data quality HES are compiled from data sent by a number of NHS providers across England. The NHS Information Centre for Health and Social Care liaises closely with these organisations to encourage submission of complete and valid data and seeks to minimise inaccuracies and the effect of missing and invalid data via HES processes. While this brings about improvement over time, some shortcomings remain. A&E HES data is available for the year 2007-08, which covers attendances reported between April 2007 and March 2008. The A&E HES data for 2007-08 is the first record level national A&E attendance data to be available within HES. The current coverage and quality of A&E data in HES is poor and for this reason the dataset has been labelled as ““experimental””. Allowing access to this data will also help stimulate discussion and encourage trusts to improve quality for subsequent releases. The 2007-08 A&E HES publication addresses some of the key data quality and coverage issues. This report is available on HESonline: www.hesonline.nhs.uk. Assessing growth through time HES figures are available from 1989-90 onwards. Changes to the figures over time need to be interpreted in the context of improvements in data quality and coverage (particularly in earlier years), improvements in coverage of independent sector activity (particularly from 2006-07) and changes in NHS practice. For example, apparent reductions in activity may be due to a number of procedures which may now be undertaken in outpatient settings and so no longer include in admitted patient HES data. Data quality HES are compiled from data sent by more than 300 NHS trusts and primary care trusts in England and from some independent sector organisations for activity commissioned by the English NHS. The NHS Information Centre for health and social care liaises closely with these organisations to encourage submission of complete and valid data and seeks to minimise inaccuracies. While this brings about improvement over time, some shortcomings remain. Source: Hospital Episode Statistics {HES), The NHS Information Centre for health and social care. |
To ask the Secretary of State for Justice how many incidents of self harm of people in each (a) age and (b) ethnic group there have been in each secure training centre in each month since 2008.
To ask the Secretary of State for Justice how many incidents of self harm of people in each (a) age and (b) ethnic group there have been in each secure training centre in each month since 2008.
| Table 1: Number of self harm incidents in each Secure Training Centre (STC) by age group and month from April 2008 to March 2010 | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| 2008 | |||||||||
| Age group | Apr | May | Jun | Jul | Aug | Sept | Oct | Nov | Dec |
| Age 10 to 14 | |||||||||
| Hassockfield | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |
| Medway | 6 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 2 |
| Oakhill | 2 | 0 | 4 | 0 | 0 | 0 | 2 | 0 | 3 |
| Rainsbrook | 6 | 5 | 2 | 2 | 2 | 0 | 4 | 5 | 2 |
| Age 15 to 17 | |||||||||
| Hassockfield | 2 | 4 | 5 | 7 | 7 | 4 | 3 | 1 | 2 |
| Medway | 3 | 5 | 3 | 11 | 11 | 7 | 6 | 6 | 0 |
| Oakhill | 31 | 16 | 10 | 3 | 3 | 1 | 0 | 0 | 1 |
| Rainsbrook | 7 | 5 | 2 | 5 | 5 | 5 | 13 | 10 | 11 |
| 2009 | 2010 | ||||||||||||||
| Age group | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sept | Oct | Nov | Dec | Jan | Feb | Mar |
| Age 10 to 14 | |||||||||||||||
| Hassockfield | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Medway | 1 | 2 | 2 | 3 | 3 | 1 | 0 | 6 | 2 | 1 | 0 | 0 | 1 | 0 | 1 |
| Oakhill | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| Rainsbrook | 2 | 2 | 0 | 2 | 1 | 0 | 0 | 2 | 8 | 10 | 2 | 0 | 0 | 0 | 0 |
| Age 15 to 17 | |||||||||||||||
| Hassockfield | 1 | 2 | 5 | 2 | 6 | 4 | 2 | 2 | 0 | 0 | 2 | 2 | 2 | 0 | 0 |
| Medway | 4 | 6 | 8 | 10 | 9 | 5 | 6 | 6 | 2 | 3 | 2 | 0 | 0 | 2 | 2 |
| Oakhill | 1 | 6 | 1 | 4 | 2 | 4 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 2 |
| Rainsbrook | 14 | 7 | 3 | 3 | 5 | 3 | 5 | 5 | 6 | 13 | 7 | 7 | 7 | 3 | 5 |
| Table 2: Number of self harm incidents in each Secure Training Centre (STC) by ethnic group and month from April 2008 to March 2010 | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| 2008 | |||||||||
| Ethnic group | Apr | May | Jun | Jul | Aug | Sept | Oct | Nov | Dec |
| White | |||||||||
| Hassockfield | 2 | 4 | 6 | 8 | 8 | 4 | 3 | 1 | 1 |
| Medway | 8 | 6 | 10 | 8 | 8 | 7 | 6 | 6 | 2 |
| Oakhill | 22 | 14 | 9 | 3 | 3 | 0 | 0 | 0 | 4 |
| Rainsbrook | 11 | 8 | 4 | 6 | 6 | 4 | 17 | 15 | 13 |
| Black and Minority Ethnic (BME) | |||||||||
| Hassockfield | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Medway | 1 | 1 | 1 | 3 | 3 | 0 | 0 | 0 | 0 |
| Oakhill | 11 | 2 | 5 | 0 | 0 | 1 | 2 | 0 | 0 |
| Rainsbrook | 2 | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 |
| 2009 | 2010 | ||||||||||||||
| Ethnic group | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sept | Oct | Nov | Dec | Jan | Feb | Mar |
| White | |||||||||||||||
| Hassockfield | 2 | 3 | 4 | 1 | 7 | 4 | 2 | 4 | 0 | 0 | 2 | 2 | 2 | 0 | 0 |
| Medway | 3 | 5 | 9 | 13 | 12 | 3 | 3 | 11 | 4 | 3 | 2 | 0 | 1 | 2 | 3 |
| Oakhill | 2 | 5 | 1 | 4 | 2 | 4 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 2 |
| Rainsbrook | 16 | 5 | 2 | 3 | 6 | 3 | 5 | 7 | 9 | 19 | 9 | 5 | 7 | 3 | 4 |
| Black and Minority Ethnic (BME) | |||||||||||||||
| Hassockfield | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Medway | 2 | 3 | 1 | 0 | 0 | 3 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| Oakhill | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| Rainsbrook | 0 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 5 | 4 | 0 | 2 | 0 | 0 | 1 |
(3) what estimate he has made of the prevalence of self-harm amongst (a) boys and (b) young men; and if he will make a statement.
(3) what estimate he has made of the prevalence of self-harm amongst (a) boys and (b) young men; and if he will make a statement.
| Total finished in-patient admission episodes¹ for intentional self-harm² by sex (including unknown) and age (under 25) for each year 2001-02 to 2010-11. Additionally, total A&E attendances for intentional self-harm³ by sex (including unknown) and age (under 25) for each year 2007-08 to 2009-10 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Activity in English NHS Hospitals and English NHS commissioned activity in the independent sector | |||||||||||
| In-patients | |||||||||||
| Sex | Age | 2010-11 | 2009-10 | 2008-09 | 2007-08 | 2006-07 | 2005-06 | 2004-05 | 2003-04 | 2002-03 | 2001-02 |
| Total for ages 0-24 (inc. unknown) | 37,932 | 34,351 | 33,852 | 33,843 | 31,206 | 30,769 | 26,142 | 24,687 | 21,906 | 22,555 | |
| Males | 0 | 4 | 4 | 2 | 5 | 4 | 6 | 2 | 4 | 2 | 8 |
| Males | 1 | 11 | 7 | 14 | 12 | 20 | 19 | 18 | 12 | 21 | 15 |
| Males | 2 | 13 | 12 | 22 | 16 | 25 | 19 | 24 | 22 | 21 | 25 |
| Males | 3 | 10 | 7 | 7 | 21 | 11 | 11 | 11 | 5 | 11 | 11 |
| Males | 4 | 3 | 3 | 6 | 5 | 5 | 4 | 4 | 7 | 3 | 9 |
| Males | 5 | 6 | 3 | 1 | 2 | 5 | 3 | 4 | 7 | 2 | 6 |
| Males | 6 | 4 | 7 | 4 | 2 | 3 | 1 | 3 | 4 | 4 | 3 |
| Males | 7 | 4 | 12 | 8 | 1 | 1 | 3 | 2 | 6 | 3 | 5 |
| Males | 8 | 7 | 3 | 9 | 8 | 8 | 10 | 5 | 10 | 10 | 8 |
| Males | 9 | 6 | 13 | 8 | 9 | 11 | 15 | 7 | 23 | 9 | 15 |
| Males | 10 | 8 | 15 | 18 | 16 | 19 | 19 | 16 | 21 | 27 | 32 |
| Males | 11 | 25 | 35 | 26 | 27 | 38 | 44 | 49 | 58 | 54 | 52 |
| Males | 12 | 64 | 47 | 82 | 88 | 85 | 81 | 95 | 108 | 97 | 91 |
| Males | 13 | 100 | 131 | 142 | 145 | 140 | 155 | 174 | 201 | 156 | 181 |
| Males | 14 | 284 | 222 | 278 | 344 | 343 | 359 | 292 | 337 | 263 | 327 |
| Males | 15 | 567 | 503 | 532 | 560 | 606 | 533 | 435 | 499 | 469 | 441 |
| Males | 16 | 655 | 601 | 604 | 618 | 561 | 522 | 495 | 448 | 389 | 394 |
| Males | 17 | 831 | 822 | 773 | 756 | 660 | 718 | 587 | 500 | 442 | 506 |
| Males | 18 | 1,176 | 1,021 | 1,071 | 1,033 | 990 | 915 | 700 | 653 | 582 | 706 |
| Males | 19 | 1,336 | 1,253 | 1,206 | 1,179 | 1,046 | 929 | 826 | 721 | 633 | 813 |
| Males | 20 | 1,293 | 1,204 | 1,301 | 1,132 | 1,045 | 1,051 | 900 | 821 | 763 | 876 |
| Males | 21 | 1,389 | 1,398 | 1,228 | 1,002 | 1,057 | 1,033 | 913 | 798 | 762 | 876 |
| Males | 22 | 1,393 | 1,289 | 1,184 | 1,091 | 983 | 951 | 868 | 855 | 834 | 836 |
| Males | 23 | 1,339 | 1,063 | 1,154 | 1,093 | 1,002 | 944 | 898 | 909 | 704 | 763 |
| Males | 24 | 1,128 | 1,071 | 1,046 | 1,050 | 965 | 1,020 | 952 | 789 | 706 | 724 |
| Females | 0 | 3 | 3 | 5 | 3 | 8 | 3 | 5 | 4 | 10 | 7 |
| Females | 1 | 11 | 12 | 6 | 16 | 9 | 23 | 10 | 20 | 12 | 16 |
| Females | 2 | 14 | 17 | 18 | 8 | 23 | 17 | 11 | 21 | 18 | 19 |
| Females | 3 | 10 | 9 | 5 | 3 | 6 | 9 | 7 | 12 | 7 | 13 |
| Females | 4 | 4 | 2 | 3 | 5 | 3 | 5 | 3 | 3 | 6 | 7 |
| Females | 5 | 3 | 5 | 5 | 4 | 1 | 2 | 3 | 3 | 3 | |
| Females | 6 | 3 | 3 | 3 | 1 | 4 | 4 | 3 | 3 | ||
| Females | 7 | 8 | 1 | 1 | 6 | 7 | 4 | 3 | 3 | 5 | 3 |
| Females | 8 | 3 | 4 | 2 | 4 | 7 | 6 | 4 | 9 | 4 | 7 |
| Females | 9 | 4 | 1 | 8 | 10 | 11 | 12 | 2 | 20 | 4 | 6 |
| Females | 10 | 7 | 15 | 14 | 13 | 12 | 11 | 19 | 18 | 13 | 15 |
| Females | 11 | 44 | 45 | 56 | 54 | 60 | 87 | 58 | 73 | 75 | 69 |
| Females | 12 | 265 | 220 | 237 | 337 | 286 | 308 | 293 | 318 | 306 | 248 |
| Females | 13 | 900 | 859 | 920 | 1,048 | 956 | 1,062 | 962 | 1,007 | 899 | 813 |
| Females | 14 | 2,172 | 1,917 | 1,998 | 2,069 | 2,079 | 2,227 | 1,973 | 1,980 | 1,890 | 1,678 |
| Females | 15 | 2,962 | 2,749 | 2,640 | 2,960 | 2,828 | 2,791 | 2,507 | 2,651 | 2,377 | 2,198 |
| Females | 16 | 2,500 | 2,319 | 2,254 | 2,427 | 2,130 | 2,060 | 1,780 | 1,570 | 1,442 | 1,457 |
| Females | 17 | 2,491 | 2,321 | 2,229 | 2,195 | 2,013 | 1,913 | 1,542 | 1,419 | 1,139 | 1,217 |
| Females | 18 | 2,512 | 2,323 | 2,229 | 2,236 | 1,990 | 1,894 | 1,545 | 1,286 | 1,120 | 1,278 |
| Females | 19 | 2,664 | 2,176 | 2,110 | 2,202 | 1,876 | 1,831 | 1,480 | 1,261 | 1,168 | 1,126 |
| Females | 20 | 2,389 | 2,093 | 2,012 | 1,938 | 1,687 | 1,584 | 1,342 | 1,176 | 978 | 1,150 |
| Females | 21 | 2,109 | 1,855 | 1,770 | 1,742 | 1,494 | 1,569 | 1,152 | 1,115 | 936 | 1,008 |
| Females | 22 | 1,986 | 1,606 | 1,637 | 1,546 | 1,535 | 1,425 | 1,121 | 1,029 | 907 | 965 |
| Females | 23 | 1,677 | 1,568 | 1,534 | 1,461 | 1,309 | 1,325 | 1,032 | 957 | 843 | 807 |
| Females | 24 | 1,533 | 1,481 | 1,428 | 1,338 | 1,214 | 1,226 | 969 | 894 | 771 | 721 |
| Accident and emergency | ||||
| Sex | Age | 2009-10 | 2008-09 | 2007-08 |
| Total for ages 0-24 (inc. unknown) | 39,784 | 37,803 | 36,159 | |
| Males | 0 | 34 | 42 | 38 |
| Males | 1 | 114 | 91 | 94 |
| Males | 2 | 108 | 111 | 93 |
| Males | 3 | 77 | 69 | 72 |
| Males | 4 | 56 | 58 | 39 |
| Males | 5 | 53 | 35 | 27 |
| Males | 6 | 23 | 35 | 27 |
| Males | 7 | 17 | 28 | 28 |
| Males | 8 | 20 | 22 | 20 |
| Males | 9 | 28 | 21 | 28 |
| Males | 10 | 32 | 41 | 33 |
| Males | 11 | 48 | 58 | 57 |
| Males | 12 | 103 | 125 | 130 |
| Males | 13 | 205 | 219 | 224 |
| Males | 14 | 386 | 379 | 388 |
| Males | 15 | 659 | 660 | 704 |
| Males | 16 | 850 | 935 | 884 |
| Males | 17 | 1,281 | 1,181 | 1,247 |
| Males | 18 | 1,690 | 1,693 | 1,502 |
| Males | 19 | 1,877 | 1,633 | 1,650 |
| Males | 20 | 1,836 | 1,767 | 1,584 |
| Males | 21 | 1,721 | 1,646 | 1,371 |
| Males | 22 | 1,569 | 1,410 | 1,319 |
| Males | 23 | 1,483 | 1,411 | 1,267 |
| Males | 24 | 1,419 | 1,266 | 1,274 |
| Females | 0 | 29 | 36 | 34 |
| Females | 1 | 98 | 92 | 96 |
| Females | 2 | 90 | 89 | 86 |
| Females | 3 | 50 | 51 | 61 |
| Females | 4 | 39 | 35 | 42 |
| Females | 5 | 20 | 24 | 28 |
| Females | 6 | 16 | 16 | 29 |
| Females | 7 | 13 | 21 | 25 |
| Females | 8 | 15 | 17 | 13 |
| Females | 9 | 15 | 13 | 26 |
| Females | 10 | 32 | 30 | 17 |
| Females | 11 | 47 | 46 | 41 |
| Females | 12 | 173 | 167 | 186 |
| Females | 13 | 566 | 548 | 617 |
| Females | 14 | 1,347 | 1,284 | 1,308 |
| Females | 15 | 1,849 | 1,760 | 1,695 |
| Females | 16 | 2,211 | 2,123 | 2,180 |
| Females | 17 | 2,484 | 2,427 | 2,294 |
| Females | 18 | 2,735 | 2,540 | 2,441 |
| Females | 19 | 2,498 | 2,375 | 2,332 |
| Females | 20 | 2,355 | 2,166 | 1,986 |
| Females | 21 | 2,020 | 2,008 | 1,812 |
| Females | 22 | 1,783 | 1,824 | 1,676 |
| Females | 23 | 1,719 | 1,640 | 1,559 |
| Females | 24 | 1,561 | 1,468 | 1,416 |
| ¹ Finished admission episodes | ||||
| A finished admission episode (FAE) is the first period of inpatient care under one consultant within one healthcare provider. FAEs are counted against the year in which the admission episode finishes. Admissions do not represent the number of in-patients, as a person may have more than one admission within the year. | ||||
| ² Cause codes | ||||
| A supplementary code that indicates the nature of any external cause of injury, poisoning or other adverse effects. Only the first external cause code which is coded within the episode is counted in Hospital Episode Statistics (HES). ICD10 Cause codes used for Intentional self-harm are X60-84 and Y87.0 | ||||
| ³ A&E Patient Group | ||||
| A code that indicates the reason for the A&E episode. Group 30 indicates those admitted for intentional self-harm | ||||
| A&E Treatment | ||||
| Treatment is any intervention that takes place during an A&E attendance. For the financial year 2007-08, providers had the option of using one of three different treatment classifications of codes; A&E treatment codes, OPCS-4 and READ-5. For more information on these, visit HESonline | ||||
| www.hesonline.nhs.uk | ||||
| From April 2008, all providers are mandated to use the A&E classification of treatment codes. Analysis of treatment based on A&E HES data are produced using A&E treatment codes unless stated otherwise. Providers are able to submit unlimited number of treatments for each attendance, however, only the first 12 treatment codes are available in HES. Analysis on treatment in A&E HES is based on the primary treatment code submitted, unless stated otherwise. The coverage and quality of treatment data available in 2007-08 A&E HES is poor and therefore great caution is needed before interpreting this in any way. Further information on the quality and coverage of treatment data are available in the 2007-08 A&E HES publication, which is available on HESonline | ||||
| www.hesonline.nhs.uk | ||||
| A&E data quality | ||||
| HES are compiled from data sent by a number of NHS providers across England. The NHS Information centre for health and social care liaises closely with these organisations to encourage submission of complete and valid data and seek to minimise inaccuracies and the effect of missing and invalid data via HES processes. While this brings about improvement over time, some shortcomings remain. Accident and Emergency HES data available for the year 2007-08, which covers attendances reported between April 2007 and March 2008. The A&E HES data for 2007-08 is the first record level national A&E attendance data to be available within HES. The current coverage and quality of A&E data in HES is poor and for this reason the dataset has been labelled as 'experimental'. Allowing access to this data will also help stimulate discussion and encourage trusts to improve quality for subsequent releases. The 2007-08 A&E HES publication addresses some of the key data quality and coverage issues. This report is available on HESonline | ||||
| www.hesonline.nhs.uk | ||||
| Assessing growth through time | ||||
| HES figures are available from 1989-90 onwards. Changes to the figures over time need to be interpreted in the context of improvements in data quality and coverage (particularly in earlier years), improvements in coverage of independent sector activity (particularly from 2006-07) and changes in NHS practice. For example, apparent reductions in activity may be due to a number of procedures which may now be undertaken in outpatient settings and so no longer include in admitted patient HES data. | ||||
| Data quality | ||||
| HES are compiled from data sent by more than 300 NHS trusts and primary care trusts (PCTs) in England and from some independent sector organisations for activity commissioned by the English NHS. The NHS Information Centre for health and social care liaises closely with these organisations to encourage submission of complete and valid data and seeks to minimise inaccuracies. While this brings about improvement over time, some shortcomings remain. | ||||
| Source: | ||||
| Hospital Episode Statistics (HES), The NHS Information Centre for health and social care. |
To ask the Secretary of State for Health (1) what assessment he has made of the adequacy of statistics on acts of self-harm by (a) boys and (b) young men; and if he will make a statement;
To ask the Secretary of State for Health (1) what assessment he has made of the adequacy of statistics on acts of self-harm by (a) boys and (b) young men; and if he will make a statement;
| Total finished in-patient admission episodes¹ for intentional self-harm² by sex (including unknown) and age (under 25) for each year 2001-02 to 2010-11. Additionally, total A&E attendances for intentional self-harm³ by sex (including unknown) and age (under 25) for each year 2007-08 to 2009-10 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Activity in English NHS Hospitals and English NHS commissioned activity in the independent sector | |||||||||||
| In-patients | |||||||||||
| Sex | Age | 2010-11 | 2009-10 | 2008-09 | 2007-08 | 2006-07 | 2005-06 | 2004-05 | 2003-04 | 2002-03 | 2001-02 |
| Total for ages 0-24 (inc. unknown) | 37,932 | 34,351 | 33,852 | 33,843 | 31,206 | 30,769 | 26,142 | 24,687 | 21,906 | 22,555 | |
| Males | 0 | 4 | 4 | 2 | 5 | 4 | 6 | 2 | 4 | 2 | 8 |
| Males | 1 | 11 | 7 | 14 | 12 | 20 | 19 | 18 | 12 | 21 | 15 |
| Males | 2 | 13 | 12 | 22 | 16 | 25 | 19 | 24 | 22 | 21 | 25 |
| Males | 3 | 10 | 7 | 7 | 21 | 11 | 11 | 11 | 5 | 11 | 11 |
| Males | 4 | 3 | 3 | 6 | 5 | 5 | 4 | 4 | 7 | 3 | 9 |
| Males | 5 | 6 | 3 | 1 | 2 | 5 | 3 | 4 | 7 | 2 | 6 |
| Males | 6 | 4 | 7 | 4 | 2 | 3 | 1 | 3 | 4 | 4 | 3 |
| Males | 7 | 4 | 12 | 8 | 1 | 1 | 3 | 2 | 6 | 3 | 5 |
| Males | 8 | 7 | 3 | 9 | 8 | 8 | 10 | 5 | 10 | 10 | 8 |
| Males | 9 | 6 | 13 | 8 | 9 | 11 | 15 | 7 | 23 | 9 | 15 |
| Males | 10 | 8 | 15 | 18 | 16 | 19 | 19 | 16 | 21 | 27 | 32 |
| Males | 11 | 25 | 35 | 26 | 27 | 38 | 44 | 49 | 58 | 54 | 52 |
| Males | 12 | 64 | 47 | 82 | 88 | 85 | 81 | 95 | 108 | 97 | 91 |
| Males | 13 | 100 | 131 | 142 | 145 | 140 | 155 | 174 | 201 | 156 | 181 |
| Males | 14 | 284 | 222 | 278 | 344 | 343 | 359 | 292 | 337 | 263 | 327 |
| Males | 15 | 567 | 503 | 532 | 560 | 606 | 533 | 435 | 499 | 469 | 441 |
| Males | 16 | 655 | 601 | 604 | 618 | 561 | 522 | 495 | 448 | 389 | 394 |
| Males | 17 | 831 | 822 | 773 | 756 | 660 | 718 | 587 | 500 | 442 | 506 |
| Males | 18 | 1,176 | 1,021 | 1,071 | 1,033 | 990 | 915 | 700 | 653 | 582 | 706 |
| Males | 19 | 1,336 | 1,253 | 1,206 | 1,179 | 1,046 | 929 | 826 | 721 | 633 | 813 |
| Males | 20 | 1,293 | 1,204 | 1,301 | 1,132 | 1,045 | 1,051 | 900 | 821 | 763 | 876 |
| Males | 21 | 1,389 | 1,398 | 1,228 | 1,002 | 1,057 | 1,033 | 913 | 798 | 762 | 876 |
| Males | 22 | 1,393 | 1,289 | 1,184 | 1,091 | 983 | 951 | 868 | 855 | 834 | 836 |
| Males | 23 | 1,339 | 1,063 | 1,154 | 1,093 | 1,002 | 944 | 898 | 909 | 704 | 763 |
| Males | 24 | 1,128 | 1,071 | 1,046 | 1,050 | 965 | 1,020 | 952 | 789 | 706 | 724 |
| Females | 0 | 3 | 3 | 5 | 3 | 8 | 3 | 5 | 4 | 10 | 7 |
| Females | 1 | 11 | 12 | 6 | 16 | 9 | 23 | 10 | 20 | 12 | 16 |
| Females | 2 | 14 | 17 | 18 | 8 | 23 | 17 | 11 | 21 | 18 | 19 |
| Females | 3 | 10 | 9 | 5 | 3 | 6 | 9 | 7 | 12 | 7 | 13 |
| Females | 4 | 4 | 2 | 3 | 5 | 3 | 5 | 3 | 3 | 6 | 7 |
| Females | 5 | 3 | 5 | 5 | 4 | 1 | 2 | 3 | 3 | 3 | |
| Females | 6 | 3 | 3 | 3 | 1 | 4 | 4 | 3 | 3 | ||
| Females | 7 | 8 | 1 | 1 | 6 | 7 | 4 | 3 | 3 | 5 | 3 |
| Females | 8 | 3 | 4 | 2 | 4 | 7 | 6 | 4 | 9 | 4 | 7 |
| Females | 9 | 4 | 1 | 8 | 10 | 11 | 12 | 2 | 20 | 4 | 6 |
| Females | 10 | 7 | 15 | 14 | 13 | 12 | 11 | 19 | 18 | 13 | 15 |
| Females | 11 | 44 | 45 | 56 | 54 | 60 | 87 | 58 | 73 | 75 | 69 |
| Females | 12 | 265 | 220 | 237 | 337 | 286 | 308 | 293 | 318 | 306 | 248 |
| Females | 13 | 900 | 859 | 920 | 1,048 | 956 | 1,062 | 962 | 1,007 | 899 | 813 |
| Females | 14 | 2,172 | 1,917 | 1,998 | 2,069 | 2,079 | 2,227 | 1,973 | 1,980 | 1,890 | 1,678 |
| Females | 15 | 2,962 | 2,749 | 2,640 | 2,960 | 2,828 | 2,791 | 2,507 | 2,651 | 2,377 | 2,198 |
| Females | 16 | 2,500 | 2,319 | 2,254 | 2,427 | 2,130 | 2,060 | 1,780 | 1,570 | 1,442 | 1,457 |
| Females | 17 | 2,491 | 2,321 | 2,229 | 2,195 | 2,013 | 1,913 | 1,542 | 1,419 | 1,139 | 1,217 |
| Females | 18 | 2,512 | 2,323 | 2,229 | 2,236 | 1,990 | 1,894 | 1,545 | 1,286 | 1,120 | 1,278 |
| Females | 19 | 2,664 | 2,176 | 2,110 | 2,202 | 1,876 | 1,831 | 1,480 | 1,261 | 1,168 | 1,126 |
| Females | 20 | 2,389 | 2,093 | 2,012 | 1,938 | 1,687 | 1,584 | 1,342 | 1,176 | 978 | 1,150 |
| Females | 21 | 2,109 | 1,855 | 1,770 | 1,742 | 1,494 | 1,569 | 1,152 | 1,115 | 936 | 1,008 |
| Females | 22 | 1,986 | 1,606 | 1,637 | 1,546 | 1,535 | 1,425 | 1,121 | 1,029 | 907 | 965 |
| Females | 23 | 1,677 | 1,568 | 1,534 | 1,461 | 1,309 | 1,325 | 1,032 | 957 | 843 | 807 |
| Females | 24 | 1,533 | 1,481 | 1,428 | 1,338 | 1,214 | 1,226 | 969 | 894 | 771 | 721 |
| Accident and emergency | ||||
| Sex | Age | 2009-10 | 2008-09 | 2007-08 |
| Total for ages 0-24 (inc. unknown) | 39,784 | 37,803 | 36,159 | |
| Males | 0 | 34 | 42 | 38 |
| Males | 1 | 114 | 91 | 94 |
| Males | 2 | 108 | 111 | 93 |
| Males | 3 | 77 | 69 | 72 |
| Males | 4 | 56 | 58 | 39 |
| Males | 5 | 53 | 35 | 27 |
| Males | 6 | 23 | 35 | 27 |
| Males | 7 | 17 | 28 | 28 |
| Males | 8 | 20 | 22 | 20 |
| Males | 9 | 28 | 21 | 28 |
| Males | 10 | 32 | 41 | 33 |
| Males | 11 | 48 | 58 | 57 |
| Males | 12 | 103 | 125 | 130 |
| Males | 13 | 205 | 219 | 224 |
| Males | 14 | 386 | 379 | 388 |
| Males | 15 | 659 | 660 | 704 |
| Males | 16 | 850 | 935 | 884 |
| Males | 17 | 1,281 | 1,181 | 1,247 |
| Males | 18 | 1,690 | 1,693 | 1,502 |
| Males | 19 | 1,877 | 1,633 | 1,650 |
| Males | 20 | 1,836 | 1,767 | 1,584 |
| Males | 21 | 1,721 | 1,646 | 1,371 |
| Males | 22 | 1,569 | 1,410 | 1,319 |
| Males | 23 | 1,483 | 1,411 | 1,267 |
| Males | 24 | 1,419 | 1,266 | 1,274 |
| Females | 0 | 29 | 36 | 34 |
| Females | 1 | 98 | 92 | 96 |
| Females | 2 | 90 | 89 | 86 |
| Females | 3 | 50 | 51 | 61 |
| Females | 4 | 39 | 35 | 42 |
| Females | 5 | 20 | 24 | 28 |
| Females | 6 | 16 | 16 | 29 |
| Females | 7 | 13 | 21 | 25 |
| Females | 8 | 15 | 17 | 13 |
| Females | 9 | 15 | 13 | 26 |
| Females | 10 | 32 | 30 | 17 |
| Females | 11 | 47 | 46 | 41 |
| Females | 12 | 173 | 167 | 186 |
| Females | 13 | 566 | 548 | 617 |
| Females | 14 | 1,347 | 1,284 | 1,308 |
| Females | 15 | 1,849 | 1,760 | 1,695 |
| Females | 16 | 2,211 | 2,123 | 2,180 |
| Females | 17 | 2,484 | 2,427 | 2,294 |
| Females | 18 | 2,735 | 2,540 | 2,441 |
| Females | 19 | 2,498 | 2,375 | 2,332 |
| Females | 20 | 2,355 | 2,166 | 1,986 |
| Females | 21 | 2,020 | 2,008 | 1,812 |
| Females | 22 | 1,783 | 1,824 | 1,676 |
| Females | 23 | 1,719 | 1,640 | 1,559 |
| Females | 24 | 1,561 | 1,468 | 1,416 |
| ¹ Finished admission episodes | ||||
| A finished admission episode (FAE) is the first period of inpatient care under one consultant within one healthcare provider. FAEs are counted against the year in which the admission episode finishes. Admissions do not represent the number of in-patients, as a person may have more than one admission within the year. | ||||
| ² Cause codes | ||||
| A supplementary code that indicates the nature of any external cause of injury, poisoning or other adverse effects. Only the first external cause code which is coded within the episode is counted in Hospital Episode Statistics (HES). ICD10 Cause codes used for Intentional self-harm are X60-84 and Y87.0 | ||||
| ³ A&E Patient Group | ||||
| A code that indicates the reason for the A&E episode. Group 30 indicates those admitted for intentional self-harm | ||||
| A&E Treatment | ||||
| Treatment is any intervention that takes place during an A&E attendance. For the financial year 2007-08, providers had the option of using one of three different treatment classifications of codes; A&E treatment codes, OPCS-4 and READ-5. For more information on these, visit HESonline | ||||
| www.hesonline.nhs.uk | ||||
| From April 2008, all providers are mandated to use the A&E classification of treatment codes. Analysis of treatment based on A&E HES data are produced using A&E treatment codes unless stated otherwise. Providers are able to submit unlimited number of treatments for each attendance, however, only the first 12 treatment codes are available in HES. Analysis on treatment in A&E HES is based on the primary treatment code submitted, unless stated otherwise. The coverage and quality of treatment data available in 2007-08 A&E HES is poor and therefore great caution is needed before interpreting this in any way. Further information on the quality and coverage of treatment data are available in the 2007-08 A&E HES publication, which is available on HESonline | ||||
| www.hesonline.nhs.uk | ||||
| A&E data quality | ||||
| HES are compiled from data sent by a number of NHS providers across England. The NHS Information centre for health and social care liaises closely with these organisations to encourage submission of complete and valid data and seek to minimise inaccuracies and the effect of missing and invalid data via HES processes. While this brings about improvement over time, some shortcomings remain. Accident and Emergency HES data available for the year 2007-08, which covers attendances reported between April 2007 and March 2008. The A&E HES data for 2007-08 is the first record level national A&E attendance data to be available within HES. The current coverage and quality of A&E data in HES is poor and for this reason the dataset has been labelled as 'experimental'. Allowing access to this data will also help stimulate discussion and encourage trusts to improve quality for subsequent releases. The 2007-08 A&E HES publication addresses some of the key data quality and coverage issues. This report is available on HESonline | ||||
| www.hesonline.nhs.uk | ||||
| Assessing growth through time | ||||
| HES figures are available from 1989-90 onwards. Changes to the figures over time need to be interpreted in the context of improvements in data quality and coverage (particularly in earlier years), improvements in coverage of independent sector activity (particularly from 2006-07) and changes in NHS practice. For example, apparent reductions in activity may be due to a number of procedures which may now be undertaken in outpatient settings and so no longer include in admitted patient HES data. | ||||
| Data quality | ||||
| HES are compiled from data sent by more than 300 NHS trusts and primary care trusts (PCTs) in England and from some independent sector organisations for activity commissioned by the English NHS. The NHS Information Centre for health and social care liaises closely with these organisations to encourage submission of complete and valid data and seeks to minimise inaccuracies. While this brings about improvement over time, some shortcomings remain. | ||||
| Source: | ||||
| Hospital Episode Statistics (HES), The NHS Information Centre for health and social care. |
(2) how many (a) males and (b) females for each age under 25 years have committed acts of self-harm in each of the last 10 years;
(2) how many (a) males and (b) females for each age under 25 years have committed acts of self-harm in each of the last 10 years;
| Total finished in-patient admission episodes¹ for intentional self-harm² by sex (including unknown) and age (under 25) for each year 2001-02 to 2010-11. Additionally, total A&E attendances for intentional self-harm³ by sex (including unknown) and age (under 25) for each year 2007-08 to 2009-10 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Activity in English NHS Hospitals and English NHS commissioned activity in the independent sector | |||||||||||
| In-patients | |||||||||||
| Sex | Age | 2010-11 | 2009-10 | 2008-09 | 2007-08 | 2006-07 | 2005-06 | 2004-05 | 2003-04 | 2002-03 | 2001-02 |
| Total for ages 0-24 (inc. unknown) | 37,932 | 34,351 | 33,852 | 33,843 | 31,206 | 30,769 | 26,142 | 24,687 | 21,906 | 22,555 | |
| Males | 0 | 4 | 4 | 2 | 5 | 4 | 6 | 2 | 4 | 2 | 8 |
| Males | 1 | 11 | 7 | 14 | 12 | 20 | 19 | 18 | 12 | 21 | 15 |
| Males | 2 | 13 | 12 | 22 | 16 | 25 | 19 | 24 | 22 | 21 | 25 |
| Males | 3 | 10 | 7 | 7 | 21 | 11 | 11 | 11 | 5 | 11 | 11 |
| Males | 4 | 3 | 3 | 6 | 5 | 5 | 4 | 4 | 7 | 3 | 9 |
| Males | 5 | 6 | 3 | 1 | 2 | 5 | 3 | 4 | 7 | 2 | 6 |
| Males | 6 | 4 | 7 | 4 | 2 | 3 | 1 | 3 | 4 | 4 | 3 |
| Males | 7 | 4 | 12 | 8 | 1 | 1 | 3 | 2 | 6 | 3 | 5 |
| Males | 8 | 7 | 3 | 9 | 8 | 8 | 10 | 5 | 10 | 10 | 8 |
| Males | 9 | 6 | 13 | 8 | 9 | 11 | 15 | 7 | 23 | 9 | 15 |
| Males | 10 | 8 | 15 | 18 | 16 | 19 | 19 | 16 | 21 | 27 | 32 |
| Males | 11 | 25 | 35 | 26 | 27 | 38 | 44 | 49 | 58 | 54 | 52 |
| Males | 12 | 64 | 47 | 82 | 88 | 85 | 81 | 95 | 108 | 97 | 91 |
| Males | 13 | 100 | 131 | 142 | 145 | 140 | 155 | 174 | 201 | 156 | 181 |
| Males | 14 | 284 | 222 | 278 | 344 | 343 | 359 | 292 | 337 | 263 | 327 |
| Males | 15 | 567 | 503 | 532 | 560 | 606 | 533 | 435 | 499 | 469 | 441 |
| Males | 16 | 655 | 601 | 604 | 618 | 561 | 522 | 495 | 448 | 389 | 394 |
| Males | 17 | 831 | 822 | 773 | 756 | 660 | 718 | 587 | 500 | 442 | 506 |
| Males | 18 | 1,176 | 1,021 | 1,071 | 1,033 | 990 | 915 | 700 | 653 | 582 | 706 |
| Males | 19 | 1,336 | 1,253 | 1,206 | 1,179 | 1,046 | 929 | 826 | 721 | 633 | 813 |
| Males | 20 | 1,293 | 1,204 | 1,301 | 1,132 | 1,045 | 1,051 | 900 | 821 | 763 | 876 |
| Males | 21 | 1,389 | 1,398 | 1,228 | 1,002 | 1,057 | 1,033 | 913 | 798 | 762 | 876 |
| Males | 22 | 1,393 | 1,289 | 1,184 | 1,091 | 983 | 951 | 868 | 855 | 834 | 836 |
| Males | 23 | 1,339 | 1,063 | 1,154 | 1,093 | 1,002 | 944 | 898 | 909 | 704 | 763 |
| Males | 24 | 1,128 | 1,071 | 1,046 | 1,050 | 965 | 1,020 | 952 | 789 | 706 | 724 |
| Females | 0 | 3 | 3 | 5 | 3 | 8 | 3 | 5 | 4 | 10 | 7 |
| Females | 1 | 11 | 12 | 6 | 16 | 9 | 23 | 10 | 20 | 12 | 16 |
| Females | 2 | 14 | 17 | 18 | 8 | 23 | 17 | 11 | 21 | 18 | 19 |
| Females | 3 | 10 | 9 | 5 | 3 | 6 | 9 | 7 | 12 | 7 | 13 |
| Females | 4 | 4 | 2 | 3 | 5 | 3 | 5 | 3 | 3 | 6 | 7 |
| Females | 5 | 3 | 5 | 5 | 4 | 1 | 2 | 3 | 3 | 3 | |
| Females | 6 | 3 | 3 | 3 | 1 | 4 | 4 | 3 | 3 | ||
| Females | 7 | 8 | 1 | 1 | 6 | 7 | 4 | 3 | 3 | 5 | 3 |
| Females | 8 | 3 | 4 | 2 | 4 | 7 | 6 | 4 | 9 | 4 | 7 |
| Females | 9 | 4 | 1 | 8 | 10 | 11 | 12 | 2 | 20 | 4 | 6 |
| Females | 10 | 7 | 15 | 14 | 13 | 12 | 11 | 19 | 18 | 13 | 15 |
| Females | 11 | 44 | 45 | 56 | 54 | 60 | 87 | 58 | 73 | 75 | 69 |
| Females | 12 | 265 | 220 | 237 | 337 | 286 | 308 | 293 | 318 | 306 | 248 |
| Females | 13 | 900 | 859 | 920 | 1,048 | 956 | 1,062 | 962 | 1,007 | 899 | 813 |
| Females | 14 | 2,172 | 1,917 | 1,998 | 2,069 | 2,079 | 2,227 | 1,973 | 1,980 | 1,890 | 1,678 |
| Females | 15 | 2,962 | 2,749 | 2,640 | 2,960 | 2,828 | 2,791 | 2,507 | 2,651 | 2,377 | 2,198 |
| Females | 16 | 2,500 | 2,319 | 2,254 | 2,427 | 2,130 | 2,060 | 1,780 | 1,570 | 1,442 | 1,457 |
| Females | 17 | 2,491 | 2,321 | 2,229 | 2,195 | 2,013 | 1,913 | 1,542 | 1,419 | 1,139 | 1,217 |
| Females | 18 | 2,512 | 2,323 | 2,229 | 2,236 | 1,990 | 1,894 | 1,545 | 1,286 | 1,120 | 1,278 |
| Females | 19 | 2,664 | 2,176 | 2,110 | 2,202 | 1,876 | 1,831 | 1,480 | 1,261 | 1,168 | 1,126 |
| Females | 20 | 2,389 | 2,093 | 2,012 | 1,938 | 1,687 | 1,584 | 1,342 | 1,176 | 978 | 1,150 |
| Females | 21 | 2,109 | 1,855 | 1,770 | 1,742 | 1,494 | 1,569 | 1,152 | 1,115 | 936 | 1,008 |
| Females | 22 | 1,986 | 1,606 | 1,637 | 1,546 | 1,535 | 1,425 | 1,121 | 1,029 | 907 | 965 |
| Females | 23 | 1,677 | 1,568 | 1,534 | 1,461 | 1,309 | 1,325 | 1,032 | 957 | 843 | 807 |
| Females | 24 | 1,533 | 1,481 | 1,428 | 1,338 | 1,214 | 1,226 | 969 | 894 | 771 | 721 |
| Accident and emergency | ||||
| Sex | Age | 2009-10 | 2008-09 | 2007-08 |
| Total for ages 0-24 (inc. unknown) | 39,784 | 37,803 | 36,159 | |
| Males | 0 | 34 | 42 | 38 |
| Males | 1 | 114 | 91 | 94 |
| Males | 2 | 108 | 111 | 93 |
| Males | 3 | 77 | 69 | 72 |
| Males | 4 | 56 | 58 | 39 |
| Males | 5 | 53 | 35 | 27 |
| Males | 6 | 23 | 35 | 27 |
| Males | 7 | 17 | 28 | 28 |
| Males | 8 | 20 | 22 | 20 |
| Males | 9 | 28 | 21 | 28 |
| Males | 10 | 32 | 41 | 33 |
| Males | 11 | 48 | 58 | 57 |
| Males | 12 | 103 | 125 | 130 |
| Males | 13 | 205 | 219 | 224 |
| Males | 14 | 386 | 379 | 388 |
| Males | 15 | 659 | 660 | 704 |
| Males | 16 | 850 | 935 | 884 |
| Males | 17 | 1,281 | 1,181 | 1,247 |
| Males | 18 | 1,690 | 1,693 | 1,502 |
| Males | 19 | 1,877 | 1,633 | 1,650 |
| Males | 20 | 1,836 | 1,767 | 1,584 |
| Males | 21 | 1,721 | 1,646 | 1,371 |
| Males | 22 | 1,569 | 1,410 | 1,319 |
| Males | 23 | 1,483 | 1,411 | 1,267 |
| Males | 24 | 1,419 | 1,266 | 1,274 |
| Females | 0 | 29 | 36 | 34 |
| Females | 1 | 98 | 92 | 96 |
| Females | 2 | 90 | 89 | 86 |
| Females | 3 | 50 | 51 | 61 |
| Females | 4 | 39 | 35 | 42 |
| Females | 5 | 20 | 24 | 28 |
| Females | 6 | 16 | 16 | 29 |
| Females | 7 | 13 | 21 | 25 |
| Females | 8 | 15 | 17 | 13 |
| Females | 9 | 15 | 13 | 26 |
| Females | 10 | 32 | 30 | 17 |
| Females | 11 | 47 | 46 | 41 |
| Females | 12 | 173 | 167 | 186 |
| Females | 13 | 566 | 548 | 617 |
| Females | 14 | 1,347 | 1,284 | 1,308 |
| Females | 15 | 1,849 | 1,760 | 1,695 |
| Females | 16 | 2,211 | 2,123 | 2,180 |
| Females | 17 | 2,484 | 2,427 | 2,294 |
| Females | 18 | 2,735 | 2,540 | 2,441 |
| Females | 19 | 2,498 | 2,375 | 2,332 |
| Females | 20 | 2,355 | 2,166 | 1,986 |
| Females | 21 | 2,020 | 2,008 | 1,812 |
| Females | 22 | 1,783 | 1,824 | 1,676 |
| Females | 23 | 1,719 | 1,640 | 1,559 |
| Females | 24 | 1,561 | 1,468 | 1,416 |
| ¹ Finished admission episodes | ||||
| A finished admission episode (FAE) is the first period of inpatient care under one consultant within one healthcare provider. FAEs are counted against the year in which the admission episode finishes. Admissions do not represent the number of in-patients, as a person may have more than one admission within the year. | ||||
| ² Cause codes | ||||
| A supplementary code that indicates the nature of any external cause of injury, poisoning or other adverse effects. Only the first external cause code which is coded within the episode is counted in Hospital Episode Statistics (HES). ICD10 Cause codes used for Intentional self-harm are X60-84 and Y87.0 | ||||
| ³ A&E Patient Group | ||||
| A code that indicates the reason for the A&E episode. Group 30 indicates those admitted for intentional self-harm | ||||
| A&E Treatment | ||||
| Treatment is any intervention that takes place during an A&E attendance. For the financial year 2007-08, providers had the option of using one of three different treatment classifications of codes; A&E treatment codes, OPCS-4 and READ-5. For more information on these, visit HESonline | ||||
| www.hesonline.nhs.uk | ||||
| From April 2008, all providers are mandated to use the A&E classification of treatment codes. Analysis of treatment based on A&E HES data are produced using A&E treatment codes unless stated otherwise. Providers are able to submit unlimited number of treatments for each attendance, however, only the first 12 treatment codes are available in HES. Analysis on treatment in A&E HES is based on the primary treatment code submitted, unless stated otherwise. The coverage and quality of treatment data available in 2007-08 A&E HES is poor and therefore great caution is needed before interpreting this in any way. Further information on the quality and coverage of treatment data are available in the 2007-08 A&E HES publication, which is available on HESonline | ||||
| www.hesonline.nhs.uk | ||||
| A&E data quality | ||||
| HES are compiled from data sent by a number of NHS providers across England. The NHS Information centre for health and social care liaises closely with these organisations to encourage submission of complete and valid data and seek to minimise inaccuracies and the effect of missing and invalid data via HES processes. While this brings about improvement over time, some shortcomings remain. Accident and Emergency HES data available for the year 2007-08, which covers attendances reported between April 2007 and March 2008. The A&E HES data for 2007-08 is the first record level national A&E attendance data to be available within HES. The current coverage and quality of A&E data in HES is poor and for this reason the dataset has been labelled as 'experimental'. Allowing access to this data will also help stimulate discussion and encourage trusts to improve quality for subsequent releases. The 2007-08 A&E HES publication addresses some of the key data quality and coverage issues. This report is available on HESonline | ||||
| www.hesonline.nhs.uk | ||||
| Assessing growth through time | ||||
| HES figures are available from 1989-90 onwards. Changes to the figures over time need to be interpreted in the context of improvements in data quality and coverage (particularly in earlier years), improvements in coverage of independent sector activity (particularly from 2006-07) and changes in NHS practice. For example, apparent reductions in activity may be due to a number of procedures which may now be undertaken in outpatient settings and so no longer include in admitted patient HES data. | ||||
| Data quality | ||||
| HES are compiled from data sent by more than 300 NHS trusts and primary care trusts (PCTs) in England and from some independent sector organisations for activity commissioned by the English NHS. The NHS Information Centre for health and social care liaises closely with these organisations to encourage submission of complete and valid data and seeks to minimise inaccuracies. While this brings about improvement over time, some shortcomings remain. | ||||
| Source: | ||||
| Hospital Episode Statistics (HES), The NHS Information Centre for health and social care. |
To ask Her Majesty’s Government what action is being taken following the incident in which a prisoner in HMP Woodhill cut off both his ears; and whether details of such action will be published.
To ask Her Majesty’s Government what action is being taken following the incident in which a prisoner in HMP Woodhill cut off both his ears; and whether details of such action will be published.
To ask Her Majesty’s Government whether guidance about the supervision of prisoners with a history of self-harm was followed at the Close Supervision Centre at HMP Woodhill; whether specific recommendations were made after a prisoner cut off one of his ears; and whether those recommendations were followed prior to the...
To ask Her Majesty’s Government whether guidance about the supervision of prisoners with a history of self-harm was followed at the Close Supervision Centre at HMP Woodhill; whether specific recommendations were made after a prisoner cut off one of his ears; and whether those recommendations were followed prior to the...
To ask Her Majesty’s Government, further to the Written Answer by Lord McNally on 23 June (WA 349), whether disciplinary action was taken following the report into the incident of self-harm at HMP Woodhill on 18 April commissioned by the Governor.
To ask Her Majesty’s Government, further to the Written Answer by Lord McNally on 23 June (WA 349), whether disciplinary action was taken following the report into the incident of self-harm at HMP Woodhill on 18 April commissioned by the Governor.
To ask Her Majesty’s Government whether any disciplinary action has been initiated concerning the incident of self-harm in the Close Supervision Centre at HMP Woodhill on 17 April which resulted in a prisoner being admitted to hospital.
To ask Her Majesty’s Government whether any disciplinary action has been initiated concerning the incident of self-harm in the Close Supervision Centre at HMP Woodhill on 17 April which resulted in a prisoner being admitted to hospital.
To ask the Secretary of State for Justice (1) what definition of self-harming the Prison Service uses;
To ask the Secretary of State for Justice (1) what definition of self-harming the Prison Service uses;
(2) how many instances of self-harming were reported on the prison estate in (a) 1997-98 and (b) 2009-10;
(2) how many instances of self-harming were reported on the prison estate in (a) 1997-98 and (b) 2009-10;
(3) how many instances of self-harming were reported in each prison in England and Wales in (a) 1997-98 and (b) 2009-10.
(3) how many instances of self-harming were reported in each prison in England and Wales in (a) 1997-98 and (b) 2009-10.
To ask the Secretary of State for Justice what steps his Department is taking to improve supervision for offenders at risk of self-harm.
To ask the Secretary of State for Justice what steps his Department is taking to improve supervision for offenders at risk of self-harm.
To ask the Secretary of State for Justice how many incidents of self-harm were recorded amongst (a) male and (b) female prisoners in the most recent year for which figures are available.
To ask the Secretary of State for Justice how many incidents of self-harm were recorded amongst (a) male and (b) female prisoners in the most recent year for which figures are available.
| 2009 | |
|---|---|
| Number | |
| Self-harm incidents | |
| Male and Female | 24,114 |
| Male | 13,688 |
| Female | 10,426 |
| Individuals self-harming¹ | |
| Male and Female | 6,977 |
| Male | 5,403 |
| Female | 1,574 |
| ¹ The numbers of different individuals are based on prison numbers. An individual who was in prison custody on two occasions during a year but with two different numbers would be counted twice if he/she had self harmed at least once each time. | |
| Data Sources and Quality: | |
| These figures have been drawn from administrative IT systems. Care is taken when processing and analysing the returns but the detail collected is subject to the inaccuracies inherent in any large scale recording system. Although the figures are shown to the last individual the figures may not be accurate to that level. |
Adjournment debate on suicide and self-harm in a recession.
Adjournment debate on suicide and self-harm in a recession.
Anyone who can take any step to turn someone away for that brief moment in which they might think again should do so. I agree with the hon. Gentleman that whatever barriers are needed in that car park should be in place, and I thank him for his intervention. I...
Anyone who can take any step to turn someone away for that brief moment in which they might think again should do so. I agree with the hon. Gentleman that whatever barriers are needed in that car park should be in place, and I thank him for his intervention. I...