Proactive automatized multiple health risk behavior change intervention: reach and retention among general hospital patients.

Abstract

Although behavior change interventions are highly recommended in health care, their reach, a core dimension of the public health impact of interventions, is rarely evaluated. This study aimed to investigate whether an individualized, computer-based brief intervention to reduce co-occurring health risk behaviors (HRBs), namely tobacco smoking, at-risk alcohol use, insufficient physical activity, and unhealthy diet, can reach and retain a sufficiently large part of general hospital patients (>75%) and whether patients with high need, that is with more HRBs, low school education or current unemployment may be sufficiently reached and retained. Over 6 weeks in 2022, all 18-64-year-old patients admitted to 11 wards of five medical departments of a university hospital in Germany were asked to participate in a computer-based HRB screening and in a pre-post intervention study with three further assessments and individualized computer-generated feedback. To investigate associations between intervention reach and retention and patient characteristics, a logistic and a Poisson regression analysis were used. Screening reached 78.9% of all eligible patients (225/285). Of those eligible for the intervention study, 81.8% (175/214) participated in the intervention. Among these, 76.0% (133/175) participated at least once more after hospitalization. Patients' lifestyle and socio-economic characteristics were not significantly associated with reach or retention, Ps ≥ .467. Proactive computer-based multiple-HRB change interventions may reach and retain a sufficiently large part of general hospital patients, including those most in need. When proven efficacious and adequately implemented, this is a promising approach concerning public health impact in the reduction non-communicable diseases.

Trial registration:  ClinicalTrials.gov NCT05365269, 9 May 2022.