| Original language | English |
|---|---|
| Pages (from-to) | e482-e496 |
| Journal | The Lancet. Digital health |
| Volume | 4 |
| Issue number | 7 |
| Early online date | 17 May 2022 |
| DOIs | |
| Publication status | E-pub ahead of print - 17 May 2022 |
Bibliographical note
Funding Information:This work uses data provided by patients and collected by the NHS as part of their care and support. We are incredibly grateful to the generosity of the patients and their families, along with the participating general practitioner practices and NHS staff, for their ongoing contribution to research into mental health and family violence. We also acknowledge Rachel Ashwick (University of Oxford, Oxford, UK), who supported the independent screening in developing the ACE indicators partly published elsewhere. In addition, we acknowledge Linda Wijlaars (University College London, London, UK) for supporting data management. This study was carried out as part of the CALIBER resource. CALIBER, led by the UCL Institute of Health Informatics, is a research resource providing validated electronic health record phenotyping algorithms and tools for national structured data sources. 35 This study is based on data from the CPRD obtained under licence from the UK Medicines and Healthcare products Regulatory Agency. The interpretation and conclusions contained in this study are those of the authors alone. Hospital Episodes Statistics and the Office for National Statistics are under copyright (2020), re-used with the permission of the Health and Social Care Information Centre. All rights reserved. The research was supported in part by the National Institute for Health Research (NIHR) Great Ormond Street Hospital Biomedical Research Centre. This research benefits from and contributes to the NIHR Children and Families Policy Research Unit, but was not commissioned by the NIHR Policy Research Programme. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, the Department of Health and Social Care or its arm's length bodies, and other governmental departments. RG was (in part) supported by the Health Data Research UK (grant LOND1).
Funding Information:
This work uses data provided by patients and collected by the NHS as part of their care and support. We are incredibly grateful to the generosity of the patients and their families, along with the participating general practitioner practices and NHS staff, for their ongoing contribution to research into mental health and family violence. We also acknowledge Rachel Ashwick (University of Oxford, Oxford, UK), who supported the independent screening in developing the ACE indicators partly published elsewhere. In addition, we acknowledge Linda Wijlaars (University College London, London, UK) for supporting data management. This study was carried out as part of the CALIBER resource. CALIBER, led by the UCL Institute of Health Informatics, is a research resource providing validated electronic health record phenotyping algorithms and tools for national structured data sources. 35 This study is based on data from the CPRD obtained under licence from the UK Medicines and Healthcare products Regulatory Agency. The interpretation and conclusions contained in this study are those of the authors alone. Hospital Episodes Statistics and the Office for National Statistics are under copyright (2020), re-used with the permission of the Health and Social Care Information Centre. All rights reserved. The research was supported in part by the National Institute for Health Research (NIHR) Great Ormond Street Hospital Biomedical Research Centre. This research benefits from and contributes to the NIHR Children and Families Policy Research Unit, but was not commissioned by the NIHR Policy Research Programme. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, the Department of Health and Social Care or its arm's length bodies, and other governmental departments. RG was (in part) supported by the Health Data Research UK (grant LOND1).
Publisher Copyright:
© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
Research Groups and Themes
- Bristol Population Health Science Institute