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Recruitment and reach in a pragmatic behavioral weight loss randomized controlled trial: implications for real-world
Christie A Befort1, Danny Kurz2, Jeffrey J VanWormer3
1Department of Population Health, University of Kansas Medical Center, 3901 Rainbow Blvd, MS 1008, Kansas City, KS, 66160, USA. cbefort@kumc.edu.
Background:
Obesity is a major risk factor behind some of the most common problems encountered in primary care. Although effective models for obesity treatment have been developed, the 'reach' of these interventions is poor and only a small fraction of primary care patients receive evidence-based treatment. The purpose of this study is to identify factors that impact the uptake (reach) of an evidence-based obesity treatment program within the context of a pragmatic cluster randomized controlled trial comparing three models of care delivery.
Methods:
Recruitment and reach were evaluated by the following measures: 1) mailing response rates, 2) referral sources among participants contacting the study team, 3) eligibility rates, 4) participation rates, and 5) representativeness based on demographics, co-morbid conditions, and healthcare utilization of 1432 enrolled participants compared to > 17,000 non-participants from the clinic-based patient populations. Referral sources and participation rates were compared across study arms and level of clinic engagement.
Results:
The response rate to clinic-based mailings was 13.2% and accounted for 66% of overall program recruitment. An additional 22% of recruitment came from direct clinic referrals and 11% from media, family, or friends. Of those screened, 87% were eligible; among those eligible, 86% enrolled in the trial. Participation rates did not vary across the three care delivery arms, but were higher at clinics with high compared to low provider involvement. In addition, clinics with high provider involvement had a higher rate of in clinic referrals (33% versus 16%) and a more representative sample with regards to BMI, rurality, and months since last clinic visit. However, across clinics, enrolled participants compared to non-participants were older, more likely to be female, more likely to have had a joint replacement but less likely to have CVD or smoke, and had fewer hospitalizations.
Conclusions:
A combination of direct patient mailings and in-clinic referrals may enhance the reach of primary care behavioral weight loss interventions, although more proactive outreach is likely necessary for men, younger patients, and those at greater medial risk. Strategies are needed to enhance provider engagement in referring patients to behavioral weight loss programs.
Trial Registration:
clnicialtrials.gov NCT02456636. Registered May 28, 2015, https://www.clinicaltrials.gov/ct2/results?cond=&term=RE-POWER&cntry=&state=&city=&dist=.
Insights
Effective obesity treatment reach in primary care can be improved through combined patient mailings and clinic referrals. Further strategies are needed to engage men, younger patients, and those at greater medical risk.
Area of Science:
- Obesity research
- Primary care interventions
- Health services research
Background:
- Obesity is a significant risk factor for common primary care conditions.
- Effective obesity treatments exist but have poor reach, with few patients receiving evidence-based care.
- Limited intervention uptake in primary care settings necessitates understanding reach determinants.
Purpose of the Study:
- To identify factors influencing the uptake (reach) of an evidence-based obesity treatment program.
- To evaluate reach within a pragmatic cluster randomized controlled trial comparing three care delivery models.
Main Methods:
- Recruitment and reach assessed via mailing response rates, referral sources, eligibility, and participation rates.
- Compared 1432 enrolled participants against >17,000 non-participants on demographics and healthcare utilization.
- Analyzed referral sources and participation rates across study arms and clinic engagement levels.
Main Results:
- Clinic mailings yielded a 13.2% response rate, contributing 66% to recruitment; direct clinic referrals added 22%.
- Eligibility and enrollment rates were high (87% and 86%, respectively).
- Participation was similar across care models but higher in clinics with greater provider involvement, which also showed more representative recruitment.
Conclusions:
- Combining direct patient mailings and in-clinic referrals can enhance reach for primary care weight loss interventions.
- Proactive outreach is crucial for engaging men, younger patients, and those with higher medical risk.
- Strategies to boost provider engagement in patient referrals to weight loss programs are essential.
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