One- half of women in the United States do not meet the weekly dose of physical activity recommended by the Centers for Disease Control. Many women could benefit tremendously if they were to adopt a more active lifestyle. Health benefits from exercise include lowering the risk for cardiovascular disease, slowing the rate of bone loss in osteoporosis, and improving mood during pregnancy. In this article, we review the health benefits that women may gain from physical activity and the recommendations for physical activity for adults in the United States. We offer evidence supporting use of the exercise prescription, discuss how to write an exercise prescription, and how to tailor the exercise prescription for women with particular medical problems.

Background

Digital health interventions using hybrid delivery models may offer efficient alternatives to traditional behavioral counseling by addressing obstacles of time, resources, and knowledge. Using a computer-facilitated 5As (ask, advise, assess, assist, arrange) model as an example (CF5As), we aimed to identify factors from the perspectives of primary care providers and clinical staff that were likely to influence introduction of digital technology and a CF5As smoking cessation counseling intervention. In the CF5As model, patients self-administer a tablet intervention that provides 5As smoking cessation counseling, produces patient and provider handouts recommending next steps, and is followed by a patient-provider encounter to reinforce key cessation messages, provide assistance, and arrange follow-up.

Methods

Semi-structured in-person interviews of administrative and clinical staff and primary care providers from three primary care clinics.

Results

Thirty-five interviews were completed (12 administrative staff, ten clinical staff, and 13 primary care providers). Twelve were from an academic internal medicine practice, 12 from a public hospital academic general medicine clinic, and 11 from a public hospital HIV clinic. Most were women (91 %); mean age (SD) was 42 years (11.1). Perceived usefulness of the CF5As focused on its relevance for various health behavior counseling purposes, potential gains in counseling efficiency, confidentiality of data collection, occupying patients while waiting, and serving as a cue to action. Perceived ease of use was viewed to depend on the ability to accommodate: clinic workflow; heavy patient volumes; and patient characterisitics, e.g., low literacy. Social norms potentially affecting implementation included beliefs in the promise/burden of technology, priority of smoking cessation counseling relative to other patient needs, and perception of CF5As as just "one more thing to do" in an overburdened system. The most frequently cited facilitating conditions were staffing levels and smoking cessation resources and training; the most cited hindering factors were visit time constraints and patients' complex health care needs.

Conclusions

Integrating CF5As and other technology-enhanced behavioral counseling interventions in primary care requires flexibility to accommodate work flow and perceptions of overload in dynamic environments. Identifying factors that promote and hinder CF5As adoption could inform implementation of other CF behavioral health interventions in primary care.

Clinical practice guidelines recommend that clinicians implement the 5As (Ask, Advise, Assess, Assist, and Arrange) for smoking cessation at every clinical encounter. We sought to examine the prevalence of patient- and clinician-reported 5As in two primary care and one HIV care clinics in San Francisco, California between August 2013 and March 2014 (n = 462 patients and n = 61 clinicians). We used multivariable logistic regression analysis to identify factors associated with receipt of the 5As, adjusting for patient demographics, patient insurance, clinic site, patient tobacco use, and patient comorbidities. The patient-reported prevalence of 5As receipt was as follows: Ask, 49.9%; Advise, 47.2%; Assess, 40.6%; any Assist, 44.9%; and Arrange, 22.4%. In multivariable analysis, receipt of Advise, Assess, and Assist were associated with older patient age. Whereas patients with HIV had a lower odds of reporting being advised (AOR 0.5, 95% CI 0.3-0.8) or assessed for readiness to quit (AOR 0.6, 95% CI 0.4-0.9), patients with pulmonary diseases had higher odds of reporting being assisted (AOR 1.6, 95% 1.0-2.6) than patients without these diagnoses. Although the majority of clinicians reported asking (91.8%), advising (91.8%), and assessing (93.4%) tobacco use 'most of the time' or 'always' during a clinical encounter, fewer reported assisting (65.7%) or arranging (19.7%) follow-up. Only half of patients reported being screened for tobacco use and fewer reported receipt of the other 5As, with significant disparities in receipt of the 5As among patients with HIV. Our findings confirm the need for interventions to increase clinician-delivered cessation treatment in primary and HIV care.

Background

The 5As for smoking cessation is an evidence-based intervention to aid providers in counseling patients to quit smoking. While most providers "ask" patients about their tobacco use patterns and "advise" them to quit, fewer patients report being "assessed" for their interest in quitting, and even fewer report subsequent "assistance" in a quit attempt and having follow-up "arranged".

Purpose

This article describes the design of an implementation study testing a computer tablet intervention to improve provider adherence to the 5As for smoking cessation. Findings will contribute to the existing literature on technology acceptance for addressing addictive behaviors, and how digital tools may facilitate the broader implementation of evidence-based behavioral counseling practices without adversely affecting clinical flow or patient care.

Methods

This project develops and tests a computer-facilitated 5As (CF-5As) model that administers the 5As intervention to patients with a computer tablet, then prompts providers to reinforce next steps. During the development phase, 5As' content will be programmed onto computer tablets, alpha and beta-testing of the service delivery model will be done, and pre-intervention interview and questionnaire data will be collected from patients, providers, and clinic staff about 5As fidelity and technology adoption. During the program evaluation phase, a randomized controlled trial comparing a group who receives the CF-5As intervention to one that does not will be conducted to assess 5As fidelity. Using the technology acceptance model, a mixed methods study of contextual and human factors influencing both 5As and technology adoption will also be conducted.

Conclusions

Technology is increasingly being used in clinical settings. A technological tool that connects patients, providers, and clinic staff to facilitate the promotion of behavioral interventions such as smoking cessation may provide an innovative platform through which to efficiently and effectively implement evidence-based practices.