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      Digital technology to facilitate Proactive Assessment of Obesity Risk during Infancy (ProAsk): a feasibility study

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          Abstract

          Objective

          To assess the feasibility and acceptability of using digital technology for Proactive Assessment of Obesity Risk during Infancy (ProAsk) with the UK health visitors (HVs) and parents.

          Design

          Multicentre, pre- and post-intervention feasibility study with process evaluation.

          Setting

          Rural and urban deprived settings, UK community care.

          Participants

          66 parents of infants and 22 HVs.

          Intervention

          ProAsk was delivered on a tablet device. It comprises a validated risk prediction tool to quantify overweight risk status and a therapeutic wheel detailing motivational strategies for preventive parental behaviour. Parents were encouraged to agree goals for behaviour change with HVs who received motivational interviewing training.

          Outcome measures

          We assessed recruitment, response and attrition rates. Demographic details were collected, and overweight risk status. The proposed primary outcome measure was weight-for-age z-score. The proposed secondary outcomes were parenting self-efficacy, maternal feeding style, infant diet and exposure to physical activity/sedentary behaviour. Qualitative interviews ascertained the acceptability of study processes and intervention fidelity.

          Results

          HVs screened 324/589 infants for inclusion in the study and 66/226 (29%) eligible infants were recruited. Assessment of overweight risk was completed on 53 infants and 40% of these were identified as above population risk. Weight-for-age z-score (SD) between the infants at population risk and those above population risk differed significantly at baseline (−0.67 SD vs 0.32 SD). HVs were able to collect data and calculate overweight risk for the infants. Protocol adherence and intervention fidelity was a challenge. HVs and parents found the information provided in the therapeutic wheel appropriate and acceptable.

          Conclusion

          Study recruitment and protocol adherence were problematic. ProAsk was acceptable to most parents and HVs, but intervention fidelity was low. There was limited evidence to support the feasibility of implementing ProAsk without significant additional resources. A future study could evaluate ProAsk as a HV-supported, parent-led intervention.

          Trial registration number

          NCT02314494 (Feasibility Study Results)

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          Most cited references63

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          A brief measure for assessing generalized anxiety disorder: the GAD-7.

          Generalized anxiety disorder (GAD) is one of the most common mental disorders; however, there is no brief clinical measure for assessing GAD. The objective of this study was to develop a brief self-report scale to identify probable cases of GAD and evaluate its reliability and validity. A criterion-standard study was performed in 15 primary care clinics in the United States from November 2004 through June 2005. Of a total of 2740 adult patients completing a study questionnaire, 965 patients had a telephone interview with a mental health professional within 1 week. For criterion and construct validity, GAD self-report scale diagnoses were compared with independent diagnoses made by mental health professionals; functional status measures; disability days; and health care use. A 7-item anxiety scale (GAD-7) had good reliability, as well as criterion, construct, factorial, and procedural validity. A cut point was identified that optimized sensitivity (89%) and specificity (82%). Increasing scores on the scale were strongly associated with multiple domains of functional impairment (all 6 Medical Outcomes Study Short-Form General Health Survey scales and disability days). Although GAD and depression symptoms frequently co-occurred, factor analysis confirmed them as distinct dimensions. Moreover, GAD and depression symptoms had differing but independent effects on functional impairment and disability. There was good agreement between self-report and interviewer-administered versions of the scale. The GAD-7 is a valid and efficient tool for screening for GAD and assessing its severity in clinical practice and research.
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            Developing and evaluating complex interventions: the new Medical Research Council guidance

            Evaluating complex interventions is complicated. The Medical Research Council's evaluation framework (2000) brought welcome clarity to the task. Now the council has updated its guidance
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              Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale.

              The development of a 10-item self-report scale (EPDS) to screen for Postnatal Depression in the community is described. After extensive pilot interviews a validation study was carried out on 84 mothers using the Research Diagnostic Criteria for depressive illness obtained from Goldberg's Standardised Psychiatric Interview. The EPDS was found to have satisfactory sensitivity and specificity, and was also sensitive to change in the severity of depression over time. The scale can be completed in about 5 minutes and has a simple method of scoring. The use of the EPDS in the secondary prevention of Postnatal Depression is discussed.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2017
                6 September 2017
                : 7
                : 9
                : e017694
                Affiliations
                [1 ] departmentProfessor of Public Health, Faculty of Health, Social Care & Education , Anglia Ruskin University , Cambridge, UK
                [2 ] departmentNIHR Research Fellow, Division of Primary Care , University of Nottingham , Nottingham, UK
                [3 ] departmentResearch Fellow , Institute of Mental Health, University of Nottingham Innovation Park , Nottingham, UK
                [4 ] departmentDivision of Nutritional Sciences, Associate Professor of Behavioural Nutrition , School of Biosciences, University of Nottingham , Nottingham, UK
                [5 ] departmentProfessor of Primary and Pre-hospital Health Care, Community and Health Research Unit , School of Health and Social Care, University of Lincoln , Lincoln, UK
                [6 ] departmentConsultant Paediatrician , Nottingham University Hospitals Trust , Nottingham, UK
                [7 ] departmentProfessor of e-Learning and Health Informatics, School of Health Sciences , University of Nottingham , Nottingham, UK
                [8 ] Lead Health Visitor for Infant Nutrition, Nottingham City Care Partnership , Nottingham, UK
                [9 ] departmentSpecialist Public Health Dietician , Nottingham City Care Partnership , Nottingham, UK
                [10 ] departmentSenior Lecturer in Public Health, Faculty of Medical Sciences , Anglia Ruskin University , Cambridge, UK
                [11 ] Consultant in Public Medicine (Lead for Children), Cambridgeshire and Peterborough Public Health Directorate , Cambridge, UK
                [12 ] departmentProfessor of Health Psychology , Institute of Mental Health, University of Nottingham Innovation Park , Nottingham, UK
                Author notes
                [Correspondence to ] Professor Sarah A Redsell; sarah.redsell@ 123456anglia.ac.uk
                Author information
                http://orcid.org/0000-0002-2176-2325
                http://orcid.org/0000-0002-5281-9590
                http://orcid.org/0000-0003-2484-8201
                http://orcid.org/0000-0001-6030-5648
                http://orcid.org/0000-0001-6748-5960
                http://orcid.org/0000-0002-7459-9445
                Article
                bmjopen-2017-017694
                10.1136/bmjopen-2017-017694
                5588959
                28882926
                0ff69d6d-c9f7-4a9b-afb8-d8e21580a9e9
                © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

                This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/

                History
                : 10 May 2017
                : 07 July 2017
                : 24 July 2017
                Funding
                Funded by: Medical Research Council UK;
                Categories
                Public Health
                Research
                1506
                1724
                1359
                Custom metadata
                unlocked

                Medicine
                community child health,public health,preventive medicine
                Medicine
                community child health, public health, preventive medicine

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