دورية أكاديمية
"We'd be really motivated to do something about it": A qualitative study of parent and clinician attitudes towards predicting childhood obesity in practice.
| العنوان: | "We'd be really motivated to do something about it": A qualitative study of parent and clinician attitudes towards predicting childhood obesity in practice. |
|---|---|
| المؤلفون: | Canfell OJ; School of Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia.; Children's Health Queensland Hospital and Health Service, Department of Health, Queensland Government, South Brisbane, Queensland, Australia.; Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia.; UQ Business School, Faculty of Business, Economics and Law, The University of Queensland, St Lucia, Queensland, Australia.; Health and Wellbeing Queensland, Queensland Government, The State of Queensland, Milton, Queensland, Australia., Littlewood R; School of Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia.; Children's Health Queensland Hospital and Health Service, Department of Health, Queensland Government, South Brisbane, Queensland, Australia.; Health and Wellbeing Queensland, Queensland Government, The State of Queensland, Milton, Queensland, Australia., Wright ORL; School of Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia., Walker JL; School of Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, Queensland, Australia.; Health and Wellbeing Queensland, Queensland Government, The State of Queensland, Milton, Queensland, Australia. |
| المصدر: | Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals [Health Promot J Austr] 2023 Apr; Vol. 34 (2), pp. 398-409. Date of Electronic Publication: 2022 May 16. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Wiley Country of Publication: Australia NLM ID: 9710936 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1036-1073 (Print) Linking ISSN: 10361073 NLM ISO Abbreviation: Health Promot J Austr Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: 2018- : Milton, Queensland : Wiley Original Publication: West Perth, WA : Australian Association of Health Promotion Professionals, |
| مواضيع طبية MeSH: | Pediatric Obesity*/prevention & control, Infant ; Child ; Humans ; Cross-Sectional Studies ; Parents ; Body Weight ; Overweight ; Optimism |
| مستخلص: | Issue Addressed: In Australia, one in four (24.9%) children live with overweight or obesity (OW/OB). Identifying infants at risk of developing childhood OW/OB is a potential preventive pathway, but its acceptability is yet to be investigated in Australia. This study aimed to (1) investigate the acceptability of predicting childhood OW/OB with parents of infants (aged 0-2 years) and clinicians and (2) explore key language to address stigma and maximise the acceptability of predicting childhood OW/OB in practice. Methods: This was a cross-sectional and qualitative design, comprising individual semi-structured interviews. Participants were multidisciplinary paediatric clinicians (n = 18) and parents (n = 13) recruited across public hospitals and health services in Queensland, Australia. Data were analysed under the Framework Method using an inductive, thematic approach. Results: Five main themes were identified: (1) Optimism for prevention and childhood obesity prediction, (2) parent dedication to child's health, (3) adverse parent response to risk for childhood obesity, (4) language and phrasing for discussing weight and risk and (5) clinical delivery. Most participants were supportive of using a childhood OW/OB prediction tool in practice. Parents expressed dedication to their child's health that superseded potential feelings of judgement or blame. When discussing weight in a clinical setting, the use of sensitive (ie, "overweight", "above average", "growth" versus "obesity") and positive, health-focused language was mostly supported. Conclusions: Multidisciplinary paediatric clinicians and parents generally accept the concept of predicting childhood OW/OB in practice in Queensland, Australia. SO WHAT?: Clinicians, public health and health promotion professionals and policymakers can act now to implement sensitive communication strategies concerning weight and obesity risk. (© 2022 The Authors. Health Promotion Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of Australian Health Promotion Association.) |
| References: | World Health Organization. Obesity and overweight. Geneva, Switzerland: World Health Organization; 2020. World Obesity Federation. Atlas of childhood obesity. London: World Obesity Federation; 2019. Australian Bureau of Statistics. National Health Survey: first results, 2017-18. Canberra, ACT: Australian Bureau of Statistics; 2019. Available from: https://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4364.0.55.001~2017-18~Main%20Features~Overweight%20and%20obesity~90. Bray GA, Kim KK, Wilding JPH. Obesity: a chronic relapsing progressive disease process. A position statement of the world obesity federation. Obes Rev. 2017;18(7):715-23. World Health Organization. Taking action on childhood obesity. Geneva, Switzerland: World Health Organization; 2018. Van Calster B, Wynants L, Timmerman D, Steyerberg EW, Collins GS. Predictive analytics in health care: how can we know it works? J Am Med Inform Assoc. 2019;26(12):1651-4. Canfell OJ, Littlewood R, Burton-Jones A, Sullivan C. Digital health and precision prevention: shifting from disease-centred care to consumer-centred health. Aust Health Rev. 2021. https://doi.org/10.1071/AH21063. Canfell OJ, Littlewood R, Wright ORL, Walker JL. Clinical relevance and validity of tools to predict infant, childhood and adulthood obesity: a systematic review. Public Health Nutr. 2018;1-13:3135-47. Ziauddeen N, Roderick PJ, Macklon NS, Alwan NA. Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review. Obes Rev. 2018;19(3):302-12. Redsell SA, Edmonds B, Swift JA, Siriwardena AN, Weng S, Nathan D, et al. Systematic review of randomised controlled trials of interventions that aim to reduce the risk, either directly or indirectly, of overweight and obesity in infancy and early childhood. Matern Child Nutr. 2016;12(1):24-38. Woo Baidal JA, Locks LM, Cheng ER, Blake-Lamb TL, Perkins ME, Taveras EM. Risk factors for childhood obesity in the first 1000 days: a systematic review. Am J Prev Med. 2016;50(6):761-79. Lee TC, Shah NU, Haack A, Baxter SL. Clinical implementation of predictive models embedded within electronic health record systems: a systematic review. Informatics (MDPI). 2020;7(3):25. Rubino F, Puhl RM, Cummings DE, Eckel RH, Ryan DH, Mechanick JI, et al. Joint international consensus statement for ending stigma of obesity. Nat Med. 2020;26(4):485-97. Greenhalgh T, Robert G, Macfarlane F, Bate P, Kyriakidou O. Diffusion of innovations in service organizations: systematic review and recommendations. Milbank Q. 2004;82(4):581-629. Sekhon M, Cartwright M, Francis JJ. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Serv Res. 2017;17(1):88. Dawson AM, Brown DA, Williams SM, Taylor BJ, Ross J, Taylor RW. Parental reactions to weight screening in young children: a randomized controlled trial. Pediatr Obes. 2018;13(11):639-46. Syrad H, Falconer C, Cooke L, Saxena S, Kessel AS, Viner R, et al. Health and happiness is more important than weight': a qualitative investigation of the views of parents receiving written feedback on their child's weight as part of the National Child Measurement Programme. J Hum Nutr Diet. 2015;28(1):47-55. Bentley F, Swift JA, Cook R, Redsell SA. “I would rather be told than not know” − a qualitative study exploring parental views on identifying the future risk of childhood overweight and obesity during infancy (report). BMC Public Health. 2017;17(1):684. Rose J, Glazebrook C, Wharrad H, Siriwardena AN, Swift JA, Nathan D, et al. Proactive assessment of obesity risk during infancy (ProAsk): a qualitative study of parents' and professionals' perspectives on an mHealth intervention. BMC Public Health. 2019;19(1):294. Butler ÉM, Derraik JGB, Glover M, Morton SMB, Tautolo E-S, Taylor RW, et al. Acceptability of early childhood obesity prediction models to New Zealand families. PLoS ONE. 2019;14(12):e0225212. Canfell OJ, Littlewood R, Wright ORL, Walker JL. I-PATHWAY: development and validation of a prediction model for childhood obesity in an Australian prospective birth cohort. J Paediatr Child Health. 2021;57:1250-8. Spinuzzi C. The methodology of participatory design. Tech Commun. 2005;52(2):163-74. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349-57. Penney TL, Kirk SFL. The health at every size paradigm and obesity: missing empirical evidence may help push the reframing obesity debate forward. Am J Public Health. 2015;105(5):e38-42. Palinkas L, Horwitz S, Green C, Wisdom J, Duan N, Hoagwood K. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Adm Policy Ment Health. 2015;42(5):533-44. Davidson K, Vidgen H. Why do parents enrol in a childhood obesity management program? A qualitative study with parents of overweight and obese children. BMC Public Health. 2017;17(1):159. Skelton JA, Martin S, Irby MB. Satisfaction and attrition in paediatric weight management. Clin Obes. 2016;6(2):143-53. Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013;13(1):117. Palad CJ, Yarlagadda S, Stanford FC. Weight stigma and its impact on paediatric care. Curr Opin Endocrinol Diabetes Obes. 2019;26(1):19-24. van Maarschalkerweerd PEA, Camfferman R, Seidell JC, Halberstadt J. Children's, parents' and healthcare professionals' preferences for weight-based terminology in health care. Health Commun. 2020;1-5:1805-9. Jebeile H, Gow ML, Baur LA, Garnett SP, Paxton SJ, Lister NB. Treatment of obesity, with a dietary component, and eating disorder risk in children and adolescents: a systematic review with meta-analysis. Obes Rev. 2019;20(9):1287-98. Puhl RM. What words should we use to talk about weight? A systematic review of quantitative and qualitative studies examining preferences for weight-related terminology. Obes Rev. 2020;21(6):e13008. Albury C, Strain WD, Brocq SL, Logue J, Lloyd C, Tahrani A. The importance of language in engagement between health-care professionals and people living with obesity: a joint consensus statement. Lancet Diabetes Endocrinol. 2020;8(5):447-55. Liu VX, Bates DW, Wiens J, Shah N. The number needed to benefit: estimating the value of predictive analytics in healthcare. J Am Med Inform Assoc. 2019;26(12):1655-9. Peterson ED. Machine learning, predictive analytics, and clinical practice: can the past inform the present? JAMA. 2019;322(23):2283-4. Bradbury D, Chisholm A, Watson PM, Bundy C, Bradbury N, Birtwistle S. Barriers and facilitators to health care professionals discussing child weight with parents: a meta-synthesis of qualitative studies. Br J Health Psychol. 2018;23(3):701-22. Mihrshahi S, Gow ML, Baur LA. Contemporary approaches to the prevention and management of paediatric obesity: an Australian focus. Med J Aust. 2018;209(6):267-74. Harvey G, Kitson A. PARIHS revisited: from heuristic to integrated framework for the successful implementation of knowledge into practice. Implement Sci. 2016;11(1):33. NSW Department of Health. Growth assessment in children and weight status assessment in adults. NSW, Australia: Centre for Population Health, NSW Government; 2017. Redsell SA, Rose J, Weng S, Ablewhite J, Swift JA, Siriwardena AN, et al. Digital technology to facilitate proactive assessment of obesity risk during infancy (ProAsk): a feasibility study. BMJ Open. 2017;7(9):e017694. Askie LM, Espinoza D, Martin A, Daniels LA, Mihrshahi S, Taylor R, et al. Interventions commenced by early infancy to prevent childhood obesity-the EPOCH collaboration: an individual participant data prospective meta-analysis of four randomized controlled trials. Pediatr Obes. 2020;15:e12618. Obesity Evidence Hub. Mass media education campaigns. Obesity Evidence Hub; 2021. Available from: https://www.obesityevidencehub.org.au/collections/environmental/mass-media-education-campaigns#cite1495. Hardt J, Canfell OJ, Walker JL, Webb K-L, Brignano S, Peu T, et al. Healthier together: co-design of a culturally tailored childhood obesity community prevention program for Māori & Pacific Islander children and families. Health Promot J Austr. 2021;32(S1):143-54. |
| معلومات مُعتمدة: | Department of Education, Skills and Employment, Australian Government; Research Training Program Scholarship |
| فهرسة مساهمة: | Keywords: child; communication; obesity; parents; preventive medicine; primary health care; risk |
| تواريخ الأحداث: | Date Created: 20220503 Date Completed: 20230501 Latest Revision: 20230501 |
| رمز التحديث: | 20231215 |
| DOI: | 10.1002/hpja.611 |
| PMID: | 35504851 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 1036-1073 |
|---|---|
| DOI: | 10.1002/hpja.611 |