Behavioral health risk factor profiles in general hospital patients: identifying the need for screening and brief intervention

General hospital patients' attitude towards systematic health risk behavior screening and intervention

BACKGROUND

Systematic counseling on behavioral health risk factors (HRFs) may be suitable to promote health among general hospital patients. This study aimed to investigate the openness of patients towards systematic screening and intervention of HRFs, its relation to actual participation in a multi-behavioral intervention, and whether socio-economic characteristics, HRFs and health indicators are related to approval.

METHODS

All 18- to 64-year-old patients hospitalized in five medical departments at the University Medicine Hospital Greifswald in Germany were asked between May and July 2022 to participate in a survey and in a subsequent pre-post intervention study. Among all eligible patients, 225 (78.9%) participated in the survey. Patients' approval of systematic screening and intervention of HRFs was assessed using five statements with a total sum score of 0-20 (i.e., scores of 0-6, 7-13, 14-20 referring to low, medium and high approval). Associations with intervention participation, socio-economic, behavioral and health-related patient characteristics were analyzed using logistic and multivariable linear regression analyses.

RESULTS

The mean total approval of screening and intervention was 13.8 (SD = 4.8). Of the 125/ 73/ 16 patients with high/ medium/ low approval, 88.0%/ 78.1%/ 50.0% participated in the subsequent intervention, respectively. Approval was independent of socio-demographic and -economic characteristics and self-rated general health. Current tobacco smoking was the only HRF negatively (p = 0.02) and diabetes mellitus was the only disease positively (p = 0.01) associated with approval.

CONCLUSION

High approval of HRF screening, which was rather independent of socio-economic characteristics and worse self-rated general health, speaks in favor of proactively approaching and motivating all general hospital patients to participate in health behavior change intervention. Tobacco smokers might need higher efforts to motivate participation than non-smokers.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT05365269 on May 9, 2022.

Implementation barriers and facilitators for referral from the hospital to community-based lifestyle interventions from the perspective of lifestyle professionals: A qualitative study

PURPOSE

A lifestyle front office (LFO) in the hospital is a not yet existing, novel concept that can refer patients under treatment in the hospital to community-based lifestyle interventions (CBLI). The aim of this study was to identify implementation barriers and facilitators regarding the implementation of an LFO in the hospital from the perspective of CBLI-professionals and to develop evidence-based implementation strategies to reduce these identified barriers.

METHODS

We conducted semi-structured interviews until data saturation, with 23 lifestyle professionals working in the community. A semi-structured topic guide was used, inquiring about (1) community-based lifestyle interventions; (2) their views about referral from the LFO; and (3) their preferences, needs and recommendations for collaboration with the LFO in the hospital. The online interviews lasted on average 46 minutes, were audio-recorded and transcribed verbatim. A thematic content analysis was conducted. Found barriers and facilitators regarding the LFO where mapped using the consolidated framework for implementation research (CFIR) whereafter evidence based strategies were developed using the CFIR-Expert Recommendations for Implementing Change Strategy Matching Tool V.1.0 (CFIR-ERIC).

RESULTS

Barriers and facilitators were divided into two main themes: 1) barriers and facilitators related to the referral from LFO to CBLI (i.e. financial, cultural, geographical, quality) and 2) barriers and facilitators related to the collaboration between LFO and CBLI (i.e. referral, communication platform and partnership). Thirty-seven implementation strategies concerning 15 barriers were developed and clustered into six overarching strategies: identify referral options, determine qualifications lifestyle professionals, develop support tools, build networks, facilitate learning collaboratives, and optimize workflow.

CONCLUSIONS

In this study, barriers and facilitators for the development of the LFO were found and matching implementation strategies were developed. Practical improvements, like identifying specific referral options or develop support tools, can be implemented immediately. The implementation of other strategies, like connecting care pathways in basic services, primary, secondary and tertiary care, will take more time and effort to come to full potential. Future research should evaluate all implemented strategies.

Behavior-related health risk factors, mental disorders and mortality after 20 years in a working aged general population sample

Mortality is predicted by the sum of behavior-related health risk factors (BRFs: tobacco smoking, alcohol drinking, body overweight, and physical inactivity). We analyzed degrees and combinations of BRFs in their relation to mortality and adjusted for mental disorders. In a random sample of the general population in northern Germany aged 18-64, BRFs and mental disorders had been assessed in 1996-1997 by the Munich Composite International Diagnostic Interview. A sum score including eight ranks of the behavior-related health risk factors was built. Death and its causes were ascertained 2017-2018 using residents' registration files and death certificates. Relations of the sum score and combinations of the BRFs at baseline with all-cause, cancer, and cardiovascular mortality 20 years later were analyzed. The sum score and combinations predicted all-cause, cardiovascular and cancer mortality. The odds ratio of the sum score was 1.38 (95% confidence interval 1.31-1.46) after adjustment for age, gender, and mental disorder. In addition to the BRFs, mood, anxiety or somatoform disorders were not related to mortality. We concluded that the sum score and combinations of behavior-related health risk factors predicted mortality, even after adjustment for mental disorders.

Patient motivation and preferences in changing co-occurring health risk behaviors in general hospital patients

OBJECTIVES

More than 60% of general hospital patients report ≥ 2 health risk behaviors (HRBs), i.e. tobacco smoking, at-risk alcohol use, unhealthy diet, and/or insufficient physical activity. This study investigates a) the association between numbers of HRBs and motivation to change, b) patient preferences for receiving feedback on HRBs, and c) patients' expected gain in quality of life if behavior change made.

METHODS

In 2020/2021, 256 18-64-year-old general hospital patients (72.1% of eligibles) reported on their motivation to change each of their HRBs. Associations between HRB number and motivation were assessed using multivariate linear regressions. Participants ranked HRBs concerning their interest in receiving feedback and concerning their expected gain in quality of life if behavior change occurred.

RESULTS

Higher HRB number was negatively related to motivation among at-risk alcohol users (p = 0.034); 24.6% expected gain in their quality of life from behavior change. Participants overall appeared more favorable to feedback about vegetable/fruit intake and physical activity.

CONCLUSIONS

Unhealthier lifestyle may be accompanied by decreased motivation to change in at-risk alcohol users. In case of co-occurring HRBs, asking patients for expected gain in quality of life may help guiding intervention target.

PRACTICE IMPLICATIONS

Relying on patient selection only, may often leave substance-use unaddressed.

Investigating the Association Between the Co-Occurrence of Behavioral Health Risk Factors and Sick Days in General Hospital Patients

Objectives: To investigate the co-occurrence of 4 behavioral health risk factors (BHRFs), namely tobacco smoking, alcohol at-risk drinking, physical inactivity and unhealthy diet and their association with sick days prior to hospitalization in general hospital patients.

Methods: Over 10 weeks (11/2020-04/2021), all 18-64-year-old patients admitted to internal medicine, general and trauma surgery, and otorhinolaryngology wards of a tertiary care hospital were systematically approached. Among 355 eligible patients, 278 (78.3%) participated, and 256 (72.1%) were analyzed. Three BHRF sum scores were determined, including current tobacco smoking, alcohol use, physical inactivity and 1 of 3 indicators of unhealthy diet. Associations between BHRF sum scores and sick days in the past 6 months were analyzed using multivariate zero-inflated negative binomial regressions.

Results: Sixty-two percent reported multiple BHRFs (≥2). The BHRF sum score was related to the number of sick days if any (p = 0.009) with insufficient vegetable and fruit intake as diet indicator.

Conclusion: The majority of patients disclosed multiple BHRFs. These were associated with sick days prior to admission. The findings support the need to implement interventions targeting multiple BHRFs in general hospitals.

Proactive automatised lifestyle intervention (PAL) in general hospital patients: study protocol of a single-group trial

INTRODUCTION

The co-occurrence of health risk behaviours (HRBs, ie, tobacco smoking, at-risk alcohol use, insufficient physical activity and unhealthy diet) increases the risks of cancer, other chronic diseases and mortality more than additively; and applies to more than half of adult general populations. However, preventive measures that target all four HRBs and that reach the majority of the target populations, particularly those persons most in need and hard to reach are scarce. Electronic interventions may help to efficiently address multiple HRBs in healthcare patients. The aim is to investigate the acceptance of a proactive and brief electronic multiple behaviour change intervention among general hospital patients with regard to reach, retention, equity in reach and retention, satisfaction and changes in behaviour change motivation, HRBs and health.

METHODS AND ANALYSIS

A pre-post intervention study with four time points is conducted at a general hospital in Germany. All patients, aged 18-64 years, admitted to participating wards of five medical departments (internal medicine A and B, general surgery, trauma surgery, ear, nose and throat medicine) are systematically approached and invited to participate. Based on behaviour change theory and individual HRB profile, 175 participants receive individualised and motivation-enhancing computer-generated feedback at months 0, 1 and 3. Intervention reach and retention are determined by the proportion of participants among eligible patients and of participants who continue participation, respectively. Equity in reach and retention are measured with regard to school education and other sociodemographics. To investigate satisfaction with the intervention and subsequent changes, a 6-month follow-up is conducted. Descriptive statistics, multivariate regressions and latent growth modelling are applied.

ETHICS AND DISSEMINATION

The local ethics commission and data safety appointee approved the study procedures. Results will be disseminated via publication in international scientific journals and presentations on scientific conferences.

TRIAL REGISTRATION NUMBER

NCT05365269.

Behavioral Health Risk Factors and Motivation to Change among Cardiovascular General Hospital Patients Aged 50 to 79 Years

Little is known about the (co-)occurrence of smoking, alcohol at-risk drinking, physical inactivity and overweight, and the motivation to change these behavioral health risk factors (HRFs) in older general hospital patients with cardiovascular disease. Between October and December 2016, all consecutively admitted patients aged 50 to 79 years were proactively recruited on 3 cardiology wards and asked to participate in a survey on HRFs and behavior change motivation. Of the eligible patients, 80.4% participated in the survey (n = 328). The mean age was 66.5 years (standard deviation 9.0), and 65.5% were male. At least 1 HRF was present in 91.8% (n = 280), at least 2 HRFs in 54.4% (n = 166), and 3 or 4 HRFs in 12.1% (n = 37) of participants. The proportion of older adults who contemplated or were changing or planning to change their behavior to meet health behavior recommendations ranged between 66.0% (smoking) and 93.2% (alcohol consumption). The results indicate a notable co-occurrence of behavioral HRFs in older patients with cardiovascular disease. The majority of older adults were at least considering changing the respective behavior. To prevent and treat diseases efficiently, hospitalization may be a suitable moment for systematic multiple HRF screening and intervention.