| Title |
The acceptability, effectiveness, and impact of different models of care for pediatric weight management services: protocol for a concurrent mixed-methods study
|
|---|---|
| Published in |
BMC Health Services Research, June 2018
|
| DOI | 10.1186/s12913-018-3222-7 |
| Pubmed ID | |
| Authors |
Jennifer Cohen, Shirley Alexander, Michelle Critekos, Sarah P. Garnett, Alison J. Hayes, Tim Shaw, Kyra A. Sim, Louise A. Baur |
| Abstract |
Pediatric obesity is a serious, but clinically neglected, chronic health problem. Despite the high prevalence, excess weight problems are rarely managed when children attend clinical services. It is recommended that obesity treatment uses a "chronic-care" approach to management, with different types and intensity of treatment dependent upon severity of obesity. There are several new secondary and tertiary weight management services being implemented within New South Wales (NSW), Australia in 2017/2018 with differing models of care. This study will ascertain what factors affect acceptability, reach, and participation, as well as measure the clinical effectiveness of these services. This is a acceptability and effectiveness study building upon existing and planned secondary and tertiary level service delivery in several health districts. This study will recruit participants from seven different pediatric weight management services (PWMS) across five Local Health Districts in NSW, Australia. Using a mixed-methods approach we will document a range of process, impact and clinical outcome measures in order to better understand the context and the effectiveness of each PWMS model. The project development and implementation is guided by the Theoretical Domains Framework. Participants will include parents of children less than 18 years of age attending PWMS, clinicians working as part of PWMS and health service managers. Data will be captured using a combination of anthropometric measures, questionnaires, one-on-one semi-structured interviews and focus groups. Results from this study will assess the acceptability and effectiveness of different models of care for pediatric weight management. Such information is required to inform long-term sustainability and scalability of secondary and tertiary care services to the large number of families with children above a healthy weight. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 26% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 10 | 13% |
| Student > Master | 7 | 9% |
| Student > Doctoral Student | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 15 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 21% |
| Nursing and Health Professions | 16 | 21% |
| Psychology | 7 | 9% |
| Social Sciences | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 20 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 June 2018.
All research outputs
#15,402,149
of 23,659,844 outputs
Outputs from BMC Health Services Research
#5,546
of 7,884 outputs
Outputs of similar age
#200,374
of 330,363 outputs
Outputs of similar age from BMC Health Services Research
#172
of 216 outputs
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