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Sultana M, Nichols M, Jacobs J, Karacabeyli D, Allender S, Novotny R, Brown V. The range of outcomes and outcome measurement instruments collected in multisectoral community-based obesity prevention interventions in children: A systematic review. Obes Rev 2024; 25:e13731. [PMID: 38432682 DOI: 10.1111/obr.13731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 01/14/2024] [Accepted: 02/12/2024] [Indexed: 03/05/2024]
Abstract
Multicomponent and multisectoral community-based interventions (CBIs) have proven potential in preventing overweight and obesity in children. Synthesizing evidence on the outcomes collected and reported in such CBIs is critical for the evidence of effectiveness and cost-effectiveness. This systematic review aimed to identify the range of outcomes and outcome measurement instruments collected and reported in multisectoral and multicomponent CBIs for obesity prevention in children. A systematic search updated an existing review and extended the search to 11 academic databases (2017-2023) and gray literature. Outcomes were classified into outcome domains, and common measurement instruments were summarized. Seventeen outcome domains from 140 unique outcomes were identified from 45 included interventions reported in 120 studies. The most frequently collected outcome domains included anthropometry and body composition (91% of included interventions), physical activity (84%), dietary intake (71%), environmental (71%), and sedentary behavior (62%). The most frequently collected outcomes from each of these domains included body mass index (89%), physical activity (73%), fruit and vegetable intake (58%), school environment (42%), and screen time (58%). Outcome measurement instruments varied, particularly for behavioral outcomes. Standardization of reported outcomes and measurement instruments is recommended to facilitate data harmonization and support quantifying broader benefits of CBIs for obesity prevention.
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Affiliation(s)
- Marufa Sultana
- Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
| | - Melanie Nichols
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
| | - Jane Jacobs
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
| | - Derin Karacabeyli
- Division of Rheumatology, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Steven Allender
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
| | - Rachel Novotny
- Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - Vicki Brown
- Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
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Hammersley ML, Wyse RJ, Jones RA, Okely AD, Wolfenden L, Eckermann S, Xu J, Green A, Stacey F, Yoong SL, Jackson J, Innes-Hughes C, Li V, Rissel C. Telephone and Web-Based Delivery of Healthy Eating and Active Living Interventions for Parents of Children Aged 2 to 6 Years: Mixed Methods Process Evaluation of the Time for Healthy Habits Translation Trial. J Med Internet Res 2022; 24:e35771. [PMID: 35616994 PMCID: PMC9185338 DOI: 10.2196/35771] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 02/16/2022] [Accepted: 03/21/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Few translational trials have provided detailed reports of process evaluation results. OBJECTIVE This study reported on findings from a mixed methods process evaluation of a large translational trial comparing 2 remotely delivered healthy eating and active living interventions with an active control, targeting parents of young children. METHODS Mixed methods process evaluation data were collected as part of a 3-arm, partially randomized preference trial targeting parents of children aged 2 to 6 years from New South Wales, Australia. Recruitment strategies were assessed through the participant baseline questionnaire and a questionnaire completed by the health promotion staff involved in recruitment. Data on participants' intervention preferences were collected at baseline and after the intervention. Intervention acceptability and demographic data were collected via a postintervention questionnaire (approximately 3 months after baseline), which was supplemented by qualitative participant interviews. Implementation data on intervention fidelity and withdrawal were also recorded. Differences in intervention acceptability, fidelity, and withdrawal rates between telephone and web-based interventions and between randomized and nonrandomized participants were analyzed. The significance level was set at P<.05 for all tests. The interview content was analyzed, key themes were drawn from participant responses, and findings were described narratively. RESULTS Data were collected from 458 participants in the baseline survey and 144 (31.4%) participants in the 3-month postintervention survey. A total of 30 participants completed the qualitative interviews. A total of 6 health promotion staff members participated in the survey on recruitment strategies. Most participants were recruited from Early Childhood Education and Care services. There was a broad reach of the study; however, better take-up rates were observed in regional and rural areas compared with metropolitan areas. Parents with a university education were overrepresented. Most participants preferred the web-based medium of delivery at baseline. There was high acceptability of the web-based and telephone interventions. Participants found the healthy eating content to be the most useful component of the modules (web-based) and calls (telephone). They regarded text (web-based) or verbal (telephone) information as the most useful component. A high proportion of participants completed the telephone intervention compared with the web-based intervention; however, more participants actively withdrew from the telephone intervention. CONCLUSIONS This is one of the first studies to comprehensively report on process evaluation data from a translation trial, which demonstrated high acceptability of all interventions but a strong participant preference for the web-based intervention. This detailed process evaluation is critical to inform further implementation and be considered alongside the effectiveness outcomes.
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Affiliation(s)
- Megan L Hammersley
- Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia
- Illawarra Health and Medical Research Institute, Wollongong, Australia
- School of Health and Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia
| | - Rebecca J Wyse
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | - Rachel A Jones
- Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia
- Illawarra Health and Medical Research Institute, Wollongong, Australia
- School of Education, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia
| | - Anthony D Okely
- Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia
- Illawarra Health and Medical Research Institute, Wollongong, Australia
- School of Health and Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | - Simon Eckermann
- Illawarra Health and Medical Research Institute, Wollongong, Australia
- School of Health and Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia
| | - Joe Xu
- Centre for Population Health, New South Wales Ministry of Health, St Leonards, Sydney, Australia
| | - Amanda Green
- Centre for Population Health, New South Wales Ministry of Health, St Leonards, Sydney, Australia
| | - Fiona Stacey
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | - Sze Lin Yoong
- School of Health Sciences, Swinburne University of Technology, Hawthorn, Melbourne, Australia
| | - Jacklyn Jackson
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | - Christine Innes-Hughes
- Centre for Population Health, New South Wales Ministry of Health, St Leonards, Sydney, Australia
| | - Vincy Li
- Health Consult, Sydney, Australia
| | - Chris Rissel
- College of Medicine and Public Health, Flinders University, Darwin, Australia
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Fiechtner L, Sierra Velez D, Ayala SG, Castro I, Lindros J, Perkins M, Baker A, Salmon J, Biggs V, Cannon-Smith G, Smith JD, Simione M, Gortmaker SL, Taveras EM. Planned Evaluation of the Healthy Weight Clinic Pediatric Weight Management and Implementation: Massachusetts-CORD 3.0. Child Obes 2021; 17:S55-S61. [PMID: 34569842 PMCID: PMC8574199 DOI: 10.1089/chi.2021.0178] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: Despite evidence that offering multidisciplinary treatment for children with obesity is effective, access to evidence-based pediatric weight management interventions (PWMIs) is limited. The Healthy Weight Clinic PWMI is a multidisciplinary approach in primary care that improves BMI among children with a BMI ≥ 85th percentile. Objective: To describe the method by which we will evaluate the adoption, acceptability, and feasibility of integrating and implementing a multidisciplinary Healthy Weight Clinic (HWC) into primary care. Design/Methods: We used the Consolidated Framework for Implementation Research (CFIR) domains and constructs to inform our implementation strategies. We will use a Type III hybrid effectiveness-implementation design to test our implementation strategies and improvement in BMI. Sources of data collection will include qualitative interviews with patient caregivers, HWC staff and surveys with HWC staff, patient caregivers, and electronic health record data. Our outcomes are guided by the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework. Results: We identified all five CFIR domains as integral for successful implementation. Some strategies to address barriers within these domains include online self-paced training modules for the HWC staff, a virtual learning collaborative, and engagement of site leadership. Outcomes will be measured at the patient and pilot site levels, and they will include patients reached, patient health outcomes such as BMI and quality of life, level of adoption, acceptability, feasibility, and sustainability of the PWMI. Conclusion: Our use of implementation science frameworks in the planning of Healthy Weight Clinic PWMI could create a sustainable and effective program for dissemination.
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Affiliation(s)
- Lauren Fiechtner
- Divisions of Pediatric Health Outcomes Research, MassGeneral Hospital for Children, Boston, MA, USA
- Divisions of Gastroenterology and Nutrition, MassGeneral Hospital for Children, Boston, MA, USA
| | - Desiree Sierra Velez
- Divisions of Gastroenterology and Nutrition, MassGeneral Hospital for Children, Boston, MA, USA
| | - Sujata G. Ayala
- Divisions of Pediatric Health Outcomes Research, MassGeneral Hospital for Children, Boston, MA, USA
| | - Ines Castro
- Divisions of Pediatric Health Outcomes Research, MassGeneral Hospital for Children, Boston, MA, USA
| | - Jeanne Lindros
- Institute for Healthy Childhood Weight, American Academy of Pediatrics, Itasca, IL, USA
| | - Meghan Perkins
- Divisions of Pediatric Health Outcomes Research, MassGeneral Hospital for Children, Boston, MA, USA
| | - Alison Baker
- Institute for Healthy Childhood Weight, American Academy of Pediatrics, Itasca, IL, USA
| | - Jeremiah Salmon
- Institute for Healthy Childhood Weight, American Academy of Pediatrics, Itasca, IL, USA
| | | | | | - Justin D. Smith
- Division of Health Systems Innovation and Research, Department of Population Health Sciences, University of Utah Eccles School of Medicine, Salt Lake City, UT, USA
| | - Meg Simione
- Divisions of Pediatric Health Outcomes Research, MassGeneral Hospital for Children, Boston, MA, USA
| | - Steven L. Gortmaker
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Elsie M. Taveras
- Divisions of Pediatric Health Outcomes Research, MassGeneral Hospital for Children, Boston, MA, USA
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