Rachel Laws

Evaluation of the Counterweight Programme for obesity management in primary care: a starting point for continuous improvement

BACKGROUND Evaluation for obesity management in primary care is limited, and successful outcomes are from intensive clinical trials in hospital settings. AIM To determine to what extent measures of success seen in intensive clinical trials can be achieved in routine primary care. Primary outcome measures were weight change and percentage of patients achieving >or=5% loss at 12 and 24 months. DESIGN OF STUDY Prospective evaluation of a new continuous improvement model for weight management in primary care. SETTING Primary care, UK. METHOD Primary care practice nurses from 65 UK general practices delivered interventions to 1906 patients with body mass index (BMI)>or=30 kg/m2 or>or=28 kg/m2 with obesity-related comorbidities. RESULTS Mean baseline weight was 101.2 kg (BMI 37.1 kg/m2); 25% of patients had BMI>or=40 kg/m2 and 74% had >or=1 major obesity-related comorbidity. At final data capture 1419 patients were in the programme for >or=12 months, and 825 for >or=24 months. Mean weight change in those who attended and had data at 12 months (n=642) was -3.0 kg (95% CI=-3.5 to -2.4 kg) and at 24 months (n=357) was -2.3 kg (95% CI=-3.2 to -1.4 kg). Among attenders at specific time-points, 30.7% had maintained weight loss of >or=5% at 12 months, and 31.9% at 24 months. A total of 761 (54%) of all 1419 patients who had been enrolled in the programme for >12 months provided data at or beyond 12 months. CONCLUSION This intervention achieves and maintains clinically valuable weight loss within routine primary care.

Empowering primary care to tackle the obesity epidemic: the Counterweight Programme.

Objective:To improve the management of obese adults (18–75 y) in primary care.Design:Cohort study.Settings:UK primary care.Subjects:Obese patients (body mass index ≥30 kg/m2) or BMI≥28 kg/m2 with obesity-related comorbidities in 80 general practices.Intervention:The model consists of four phases: (1) audit and project development, (2) practice training and support, (3) nurse-led patient intervention, and (4) evaluation. The intervention programme used evidence-based pathways, which included strategies to empower clinicians and patients. Weight Management Advisers who are specialist obesity dietitians facilitated programme implementation.Main outcome measures:Proportion of practices trained and recruiting patients, and weight change at 12 months.Results:By March 2004, 58 of the 62 (93.5%) intervention practices had been trained, 47 (75.8%) practices were active in implementing the model and 1549 patients had been recruited. At 12 months, 33% of patients achieved a clinically meaningful weight loss of 5% or more. A total of 49% of patients were classed as ‘completers’ in that they attended the requisite number of appointments in 3, 6 and 12 months. ‘Completers’ achieved more successful weight loss with 40% achieving a weight loss of 5% or more at 12 months.Conclusion:The Counterweight programme provides a promising model to improve the management of obesity in primary care.Sponsorship:Educational grant-in-aid from Roche Products Ltd.Objective:To improve the management of obese adults (18–75 y) in primary care.Design:Cohort study.Settings:UK primary care.Subjects:Obese patients (body mass index ≥30 kg/m2) or BMI≥28 kg/m2 with obesity-related comorbidities in 80 general practices.Intervention:The model consists of four phases: (1) audit and project development, (2) practice training and support, (3) nurse-led patient intervention, and (4) evaluation. The intervention programme used evidence-based pathways, which included strategies to empower clinicians and patients. Weight Management Advisers who are specialist obesity dietitians facilitated programme implementation.Main outcome measures:Proportion of practices trained and recruiting patients, and weight change at 12 months.Results:By March 2004, 58 of the 62 (93.5%) intervention practices had been trained, 47 (75.8%) practices were active in implementing the model and 1549 patients had been recruited. At 12 months, 33% of patients achieved a clinically meaningful weight loss of 5% or more. A total of 49% of patients were classed as ‘completers’ in that they attended the requisite number of appointments in 3, 6 and 12 months. ‘Completers’ achieved more successful weight loss with 40% achieving a weight loss of 5% or more at 12 months.Conclusion:The Counterweight programme provides a promising model to improve the management of obesity in primary care.Sponsorship:Educational grant-in-aid from Roche Products Ltd.

Long‐term cost‐effectiveness of weight management in primary care

Background:  As obesity prevalence and health‐care costs increase, Health Care providers must prevent and manage obesity cost‐effectively.

Translating research for evidence-based public health: key concepts and future directions

Applying research to guide evidence-based practice is an ongoing and significant challenge for public health. Developments in the emerging field of ‘translation’ have focused on different aspects of the problem, resulting in competing frameworks and terminology. In this paper the scope of ‘translation’ in public health is defined, and four related but conceptually different ‘translation processes’ that support evidence-based practice are outlined: (1) reviewing the transferability of evidence to new settings, (2) translation research, (3) knowledge translation, and (4) knowledge translation research. Finally, an integrated framework is presented to illustrate the relationship between these domains, and priority areas for further development and empirical research are identified.

A review of the relationship between socioeconomic position and the early-life predictors of obesity

A range of important early-life predictors of later obesity have been identified. Children of lower socioeconomic position (SEP) have a steeper weight gain trajectory from birth with a strong socioeconomic gradient in child and adult obesity prevalence. An assessment of the association between SEP and the early-life predictors of obesity has been lacking. The review involved a two-stage process: Part 1, using previously published systematic reviews, we developed a list of the potentially modifiable determinants of obesity observable in the pre-natal, peri-natal or post-natal (pre-school) periods; and part 2, conducting a literature review of evidence for socioeconomic patterning in the determinants identified in part 1. Strong evidence was found for an inverse relationship between SEP and (1) pre-natal risk factors (pre-pregnancy maternal body mass index (BMI), diabetes and pre-pregnancy diet), (2) antenatal/peri natal risk factors (smoking during pregnancy and low birth weight) and (3) early-life nutrition (including breastfeeding initiation and duration, early introduction of solids, maternal and infant diet quality, and some aspects of the home food environment), and television viewing in young children. Less strong evidence (because of a lack of studies for some factors) was found for paternal BMI, maternal weight gain during pregnancy, child sleep duration, high birth weight and lack of physical activity in young children. A strong socioeconomic gradient exists for the majority of the early-life predictors of obesity suggesting that the die is cast very early in life (even pre-conception). Lifestyle interventions targeting disadvantaged women at or before child-bearing age may therefore be particularly important in reducing inequality. Given the likely challenges of reaching this target population, it may be that during pregnancy and their child’s early years are more feasible windows for engagement.

Policy and practice impacts of applied research: a case study analysis of the New South Wales Health Promotion Demonstration Research Grants Scheme 2000–2006

BackgroundIntervention research provides important information regarding feasible and effective interventions for health policy makers, but few empirical studies have explored the mechanisms by which these studies influence policy and practice. This study provides an exploratory case series analysis of the policy, practice and other related impacts of the 15 research projects funded through the New South Wales Health Promotion Demonstration Research Grants Scheme during the period 2000 to 2006, and explored the factors mediating impacts.MethodsData collection included semi-structured interviews with the chief investigators (n = 17) and end-users (n = 29) of each of the 15 projects to explore if, how and under what circumstances the findings had been used, as well as bibliometric analysis and verification using documentary evidence. Data analysis involved thematic coding of interview data and triangulation with other data sources to produce case summaries of impacts for each project. Case summaries were then individually assessed against four impact criteria and discussed at a verification panel meeting where final group assessments of the impact of research projects were made and key influences of research impact identified.ResultsFunded projects had variable impacts on policy and practice. Project findings were used for agenda setting (raising awareness of issues), identifying areas and target groups for interventions, informing new policies, and supporting and justifying existing policies and programs across sectors. Reported factors influencing the use of findings were: i) nature of the intervention; ii) leadership and champions; iii) research quality; iv) effective partnerships; v) dissemination strategies used; and, vi) contextual factors.ConclusionsThe case series analysis provides new insights into how and under what circumstances intervention research is used to influence real world policy and practice. The findings highlight that intervention research projects can achieve the greatest policy and practice impacts if they address proximal needs of the policy context by engaging end-users from the inception of projects and utilizing existing policy networks and structures, and using a range of strategies to disseminate findings that go beond traditional peer review publications.

Are there bad foods or just bad diets

Dietary patterns matter more than isolated food items, and that’s what we should be studying

Predictors of primary care referrals to a vascular disease prevention lifestyle program among participants in a cluster randomised trial

BackgroundCardiovascular disease accounts for a large burden of disease, but is amenable to prevention through lifestyle modification. This paper examines patient and practice predictors of referral to a lifestyle modification program (LMP) offered as part of a cluster randomised controlled trial (RCT) of prevention of vascular disease in primary care.MethodsData from the intervention arm of a cluster RCT which recruited 36 practices through two rural and three urban primary care organisations were used. In each practice, 160 eligible high risk patients were invited to participate. Practices were randomly allocated to intervention or control groups. Intervention practice staff were trained in screening, motivational interviewing and counselling and encouraged to refer high risk patients to a LMP involving individual and group sessions. Data include patient surveys; clinical audit; practice survey on capacity for preventive care; referral records from the LMP. Predictors of referral were examined using multi-level logistic regression modelling after adjustment for confounding factors.ResultsOf 301 eligible patients, 190 (63.1%) were referred to the LMP. Independent predictors of referral were baseline BMI ≥ 25 (OR 2.87 95%CI:1.10, 7.47), physical inactivity (OR 2.90 95%CI:1.36,6.14), contemplation/preparation/action stage of change for physical activity (OR 2.75 95%CI:1.07, 7.03), rural location (OR 12.50 95%CI:1.43, 109.7) and smaller practice size (1–3 GPs) (OR 16.05 95%CI:2.74, 94.24).ConclusionsProviding a well-structured evidence-based lifestyle intervention, free of charge to patients, with coordination and support for referral processes resulted in over 60% of participating high risk patients being referred for disease prevention. Contrary to expectations, referrals were more frequent from rural and smaller practices suggesting that these practices may be more ready to engage with these programs.Trial registrationACTRN12607000423415

A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program

Background Mobile health (mHealth) programs hold great promise for increasing the reach of public health interventions. However, mHealth is a relatively new field of research, presenting unique challenges for researchers. A key challenge is understanding the relative effectiveness and cost of various methods of recruitment to mHealth programs. Objective The objectives of this study were to (1) compare the effectiveness of various methods of recruitment to an mHealth intervention targeting healthy infant feeding practices, and (2) explore factors influencing practitioner referral to the intervention. Methods The Growing healthy study used a quasi-experimental design with an mHealth intervention group and a concurrent nonrandomized comparison group. Eligibility criteria included: expectant parents (>30 weeks of gestation) or parents with an infant <3 months old, ability to read and understand English, own a mobile phone, ≥18 years old, and living in Australia. Recruitment to the mHealth program consisted of: (1) practitioner-led recruitment through Maternal and Child Health nurses, midwives, and nurses in general practice; (2) face-to-face recruitment by researchers; and (3) online recruitment. Participants’ baseline surveys provided information regarding how participants heard about the study, and their sociodemographic details. Costs per participant recruited were calculated by taking into account direct advertising costs and researcher time/travel costs. Practitioner feedback relating to the recruitment process was obtained through a follow-up survey and qualitative interviews. Results A total of 300 participants were recruited to the mHealth intervention. The cost per participant recruited was lowest for online recruitment (AUD

Infant Feeding Websites and Apps: A Systematic Assessment of Quality and Content

14) and highest for practice nurse recruitment (AUD