In January 2017, the UK Government made public a Memorandum of Understanding (MoU) between the Department of Health, National Health Service (NHS) Digital and the Home Office. This Memorandum allows for the more expedited sharing of a patient's non-clinical data, specifically from the NHS England to the Home Office. The Government justified the MoU as in the 'public interest to support effective immigration enforcement'. In this review, we seek to unpack this justification by providing, first, a background to the MoU, placing it in the context of creating a 'hostile environment' for migrants - a project initially sought by Theresa May in her time as Home Secretary. We then explore the potential impact of data sharing on individual health, public health and on health professionals. We conclude that the MoU could threaten both individual and public health, while placing health professionals in an unworkable position both practically and in terms of their duties to patients around confidentiality. As such, we agree with colleagues' position that it should be suspended, at least until a full consultation and health impact assessment can be carried out.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1017/S1744133117000251 | DOI Listing |
J Intellect Dev Disabil
March 2022
Department of Health, Kinesiology & Applied Physiology, Concordia University, Montréal, Canada.
: The purpose of this study was to examine if integrative dance classes have the potential to improve the postural stability in individuals with intellectual disability.: A quasi-experimental, pretest-posttest research design was used to assess changes in postural stability of 16 individuals with intellectual disability. Postural stability was evaluated in bilateral stance with eyes open and eyes closed using a Wii Balance Board and variables of stability were assessed utilising centre of pressure measurements.
View Article and Find Full Text PDFJ Intellect Dev Disabil
March 2022
Department Movement, Health and Wellbeing, Windesheim University of Applied Sciences, Zwolle, The Netherlands.
Background: Psychomotor therapy (PMT) is often applied in Dutch clinical practice to address aggressive behaviour in individuals with mild intellectual disabilities or borderline intellectual functioning. However, the literature on clients' experiences is lacking.
Methods: An interpretative phenomenological analysis was used to analyse the semi-structured interviews of seven participants (19-60 years; four male, three female) who completed PMT targeting anger regulation problems.
J Intellect Dev Disabil
March 2022
Pragmatic Health Ethics Research Unit, Institut de recherches cliniques de Montréal, Montréal, Canada.
Background: People with fetal alcohol spectrum disorder (FASD) and women who drink alcohol while pregnant can experience stigma, possibly exacerbated by stereotyped media portrayals.
Method: To understand experiences of FASD stakeholders and reactions to news coverage, we conducted twelve focus groups across three categories: (1) people with FASD; (2) caregivers; and (3) professionals. Themes were identified using .
J Intellect Dev Disabil
March 2022
Tranzo, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands.
Background: The Family Network Method - Intellectual Disability (FNM-ID) was used to compare perspectives of people with mild intellectual disability and their support workers on family networks of people with intellectual disability.
Method: 138 participants with mild intellectual disability and support workers were interviewed, using the FNM-ID. Paired -tests were used to examine differences in perspectives.
J Intellect Dev Disabil
March 2022
Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.
Background: We examined the association between intellectual disabilities (ID) and pneumonia severity at admission.
Methods: We extracted patients admitted to hospital for pneumonia from July 2010 to March 2018 using the Diagnosis Procedure Combination database. We measured pneumonia severity using the A-DROP system.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!