Alcohol consumption and motivation to reduce drinking among emergency care patients in Sweden

What makes emergency department patients reduce their alcohol consumption?--a computer-based intervention study in Sweden

OBJECTIVES

This study investigates the effectiveness of a computerized emergency department intervention for alcohol consumption and identifies explanation factors associated with reduced alcohol consumption from risk to non-risk drinking.

METHODS

Patients aged 18-69 years registered at the ED triage answered alcohol-related questions on a touch-screen computer. Follow-up data were collected by means of a postal questionnaire that was mailed to the patients 6 months after their ED visit.

RESULTS

There were four independent explanations for reduced alcohol consumption: being motivated to reduce alcohol consumption at baseline, influenced by just visiting the emergency department, considering the alcohol-related feedback information and impact from a health care provider. 339 patients could be followed up and of these were 97 categorized as risk drinkers at baseline and 45 became non-risk drinker 6 month later.

CONCLUSIONS

Being motivated to reduce alcohol consumption at baseline, influenced by just visiting the emergency department, considering the alcohol-related feedback information and impact from a health care provider were predictors for change from risk to non-risk drinking 6 months later.

Improvement of Physical Activity by a Kiosk-based Electronic Screening and Brief Intervention in Routine Primary Health Care: Patient-Initiated Versus Staff-Referred

Background

Interactive behavior change technology (eg, computer programs, Internet websites, and mobile phones) may facilitate the implementation of lifestyle behavior interventions in routine primary health care. Effective, fully automated solutions not involving primary health care staff may offer low-cost support for behavior change.

Objectives

We explored the effectiveness of an electronic screening and brief intervention (e-SBI) deployed through a stand-alone information kiosk for promoting physical activity among sedentary patients in routine primary health care. We further tested whether its effectiveness differed between patients performing the e-SBI on their own initiative and those referred to it by primary health care staff.

Methods

The e-SBI screens for the physical activity level, motivation to change, attitudes toward performing the test, and physical characteristics and provides tailored feedback supporting behavior change. A total of 7863 patients performed the e-SBI from 2007 through 2009 in routine primary health care in Östergötland County, Sweden. Of these, 2509 were considered not sufficiently physically active, and 311 of these 2509 patients agreed to participate in an optional 3-month follow-up. These 311 patients were included in the analysis and were further divided into two groups based on whether the e-SBI was performed on the patient´s own initiative (informed by posters in the waiting room) or if the patient was referred to it by staff. A physical activity score representing the number of days being physically active was compared between baseline e-SBI and the 3-month follow-up. Based on physical activity recommendations, a score of 5 was considered the cutoff for being sufficiently physically active.

Results

In all, 137 of 311 patients (44%) were sufficiently physically active at the 3-month follow-up. The proportion becoming sufficiently physically active was 16/55 (29%), 40/101 (40%), and 81/155 (52%) for patients with a physical activity score at baseline of 0, 1 to 2, and 3 to 4, respectively. The patient-initiated group and staff-referred group had similar mean physical activity scores at baseline (2.1, 95% confidence interval [CI] 1.8-2.3, versus 2.3, 95% CI 2.1-2.5) and at follow-up, (4.1, 95% CI 3.4-4.7, vs 4.2, 95% CI 3.7-4.8).

Conclusions

Among the sedentary patients in primary health care who participated in the follow-up, the e-SBI appeared effective at promoting short-term improvement of physical activity for about half of them. The results were similar when the e-SBI was patient-initiated or staff-referred. The e-SBI may be a low-cost complement to lifestyle behavior interventions in routine primary health care and could work as a stand-alone technique not requiring the involvment of primary health care staff.

The evidence for implementing alcohol screening and intervention in the emergency department - time to act

The harmful effects of alcohol and its contribution to Emergency Department (ED) presentations are evident on a daily basis and undoubtedly add a significant burden on the health care system. Despite alcohol's prevalence in ED presentations, formal screening for alcohol use is not routinely applied in EDs. This paper reviews the evidence supporting the use of screening and the use of brief interventions in the ED. It aims to provide some insights into what may constitute best practice for health workers in relation to identifying and treating patients with problematic alcohol use. Although the burden of alcohol-related presentations is evident and the prevalence of problem acknowledged by health care professionals, the implementation of formal screening and brief interventions is at best inconsistent and sparse. Contemporary screening tools and interventions are critiqued within the ED setting and their advantages and disadvantages discussed. In conclusion, while there is a lack of homogeneity regarding the efficacy of screening tools and brief interventions in the ED setting, there are some promising indications that effectiveness may be enhanced by targeting the interventions at specific patient populations. It may also be possible to start considering innovative information technology applications to screen and intervene.

Referral to an electronic screening and brief alcohol intervention in primary health care in sweden: impact of staff referral to the computer

The aim of this paper was to evaluate whether primary health care staff's referral of patients to perform an electronic screening and brief intervention (e-SBI) for alcohol use had a greater impact on change in alcohol consumption after 3 month, compared to patients who performed the test on their own initiative. Staff-referred responders reported reduced weekly alcohol consumption with an average decrease of 8.4 grams. In contrast, self-referred responders reported an average increase in weekly alcohol consumption of 2.4 grams. Staff-referred responders reported a 49% reduction of average number of heavy episodic drinking (HED) occasions per month. The corresponding reduction for self-referred responders was 62%. The differences between staff- and self-referred patient groups in the number who moved from risky drinking to nonrisky drinking at the followup were not statistically significant. Our results indicate that standalone computers with touchscreens that provide e-SBIs for risky drinking have the same effect on drinking behaviour in both staff-referred patients and self-referred patients.