Electronic medical record tobacco use vital sign

Exercise Is Medicine

There is overwhelming evidence in the scientific and medical literature that physical inactivity is a major public health problem with a wide array of harmful effects. Over 50% of health status can be attributed to unhealthy behaviors with smoking, diet, and physical inactivity as the main contributors. Exercise has been used in both the treatment and prevention of a variety of chronic conditions such as heart disease, pulmonary disease, diabetes, and obesity. While the negative effects of physical inactivity are widely known, there is a gap between what physicians tell their patients and exercise compliance. Exercise is Medicine was established in 2007 by the American College of Sports Medicine to inform and educate physicians and other health care providers about exercise as well as bridge the widening gap between health care and health fitness. Physicians have many competing demands at the point of care, which often translates into limited time spent counseling patients. The consistent message from all health care providers to their patients should be to start or to continue a regular exercise program. Exercise is Medicine is a solution that enables physicians to support their patients in implementing exercise as part of their disease prevention and treatment strategies.

Changes in Veteran Tobacco Use Identified in Electronic Medical Records

INTRODUCTION

Electronic medical records represent a new source of longitudinal data on tobacco use.

METHODS

Electronic medical records of the U.S. Department of Veterans Affairs were extracted to find patients' tobacco use status in 2009 and at another assessment 12-24 months later. Records from the year prior to the first assessment were used to determine patient demographics and comorbidities. These data were analyzed in 2015.

RESULTS

An annual quit rate of 12.0% was observed in 754,504 current tobacco users. Adjusted tobacco use prevalence at follow-up was 3.2% greater with alcohol use disorders at baseline, 1.9% greater with drug use disorders, 3.3% greater with schizophrenia, and lower in patients with cancer, heart disease, and other medical conditions (all differences statistically significant with p<0.05). Annual relapse rates in 412,979 former tobacco users were 29.6% in those who had quit for <1 year, 9.7% in those who had quit for 1-7 years, and 1.9% of those who had quit for >7 years. Among those who had quit for <1 year, adjusted relapse rates were 4.3% greater with alcohol use disorders and 7.2% greater with drug use disorders (statistically significant with p<0.05).

CONCLUSIONS

High annual cessation rates may reflect the older age and greater comorbidities of the cohort or the intensive cessation efforts of the U.S. Department of Veterans Affairs. The lower cessation and higher relapse rates in psychiatric and substance use disorders suggest that these groups will need intensive and sustained cessation efforts.

Use of electronic health records to support smoking cessation

BACKGROUND

Health information systems such as electronic health records (EHR), computerized decision support systems, and electronic prescribing are potentially valuable components to improve the quality and efficiency of clinical interventions for tobacco use.

OBJECTIVES

To assess the effectiveness of electronic health record-facilitated interventions on smoking cessation support actions by clinicians and on patient smoking cessation outcomes.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, CENTRAL, MEDLINE, EMBASE, PsycINFO, CINAHL, and reference lists and bibliographies of included studies. We searched for studies published between January 1990 and May 2011.

SELECTION CRITERIA

We included both randomized studies and non-randomized studies that reported interventions targeting tobacco use through an EHR in health care settings. The intervention could include any use of an EHR to improve smoking status documentation or cessation assistance for patients who use tobacco, either by direct action or by feedback of clinical performance measures.

DATA COLLECTION AND ANALYSIS

Characteristics and content of the interventions, participants, outcomes and methods of the included studies were extracted by one author and checked by a second. Because few randomized studies existed, we did not conduct a meta-analysis.

MAIN RESULTS

We included three randomized and eight non-randomized observational studies of fair to good quality that tested the use of an existing EHR to improve documentation and/or treatment of tobacco use. None of the studies included a direct assessment of patient quit rates. Overall, these studies found only modest improvements in some of the recommended clinician actions steps on tobacco use.

AUTHORS' CONCLUSIONS

At least in the short term, documentation of tobacco status and increased referral to cessation counseling do appear to increase following the introduction of an expectation to use the EHR to record and treat patient tobacco use at medical visits. There is a need for additional research to further understand the effect of EHRs on smoking treatment in healthcare settings.