Literature DB >> 33644496

Improving smoking cessation referrals among elective surgery clinics through electronic clinical decision support.

Connor Stonesifer1, Salvatore Crusco2,3, Sritha Rajupet1,2,3.   

Abstract

INTRODUCTION: Preoperative visits are an exceptional opportunity to encourage smoking cessation, as studies demonstrate the experience of scheduling elective surgery produces an actionable incentive to quit. However, studies suggest surgeons do not regularly assess smoking behavior or offer cessation therapies. Clinical decision support (CDS) is a system in which providers are presented with clinically integrated tools to enhance decision-making.
METHODS: A CDS tool was designed to facilitate treatment referrals for smoking cessation services among patients seeking elective surgery. Two clinics were selected: the plastic and vascular surgeries. The study objectives were to assess the utilization rate and effectiveness of this system.
RESULTS: No smoking cessation referrals had been submitted by the plastic surgery or vascular surgery clinics in the year before CDS tool implementation. Providers at the plastic surgery clinic utilized the CDS tool in 95.0% (191 of 201) eligible patient encounters. Of these patients, 16.3% were identified as active smokers, and 16.1% of these smokers accepted treatment referrals. Providers at the vascular surgery clinic utilized the CDS tool in 50.3% (98 of 195) eligible patient encounters. Of these patients, 10.2% were identified as active smokers, and 30.0% of these smokers accepted treatment referrals.
CONCLUSIONS: The CDS tool improved the incidence of smoking cessation referrals in two surgical clinics from pretest baselines and achieved satisfactory utilization rates. This report demonstrates the feasibility of CDS tools to actualize the preoperative visit as an opportunity to promote smoking cessation.
© 2021 Stonesifer C. et al.

Entities:  

Keywords:  clinical decision support; feasibility study; smoking-cessation; surgery; tobacco-related disparities; tobacco-use cessation

Year:  2021        PMID: 33644496      PMCID: PMC7896627          DOI: 10.18332/tpc/131823

Source DB:  PubMed          Journal:  Tob Prev Cessat        ISSN: 2459-3087


INTRODUCTION

According to the World Health Organization, the United States ranks second in global surgical volume, with over 36 million surgeries performed each year as of 2012[1]. The prevalence of tobacco use among the US surgical population is disproportionately high, with estimates suggesting that 30% of patients undergoing elective general surgery are active smokers[2]. Preoperative smoking is an independent risk factor for significant postoperative morbidity and mortality[3-5]. Recent analyses suggest smokers are up to 1.53 times more likely to die in the 30 days after surgery than non-smokers[6]. Preoperative smokers also experience higher rates of postoperative pneumonia, post-surgical intubation, myocardial infarction, stroke, sepsis, and wound complications than both non-smokers and former smokers[3-5,7]. The added burden posed by smoking on both perioperative patients and the health system has been described across surgical disciplines, leading the American College of Surgeons to declare that smoking cessation counseling should be offered during all non-emergent patient consultations[6]. Among US smokers, 68% report wanting to quit completely[7]. Despite patient interest and proven postoperative risks, only 58% of surgeons ‘almost always’ advise their patients who use tobacco to quit. Moreover, only 13% of surgeons ‘almost always’ provide resources to help their patients who use tobacco to quit[8]. Surgical clinics pose an exceptional opportunity to encourage behavior change, with studies demonstrating that the experience of scheduling elective surgery produces a significant, actionable incentive to stop smoking[2,9]. Clinical decision support (CDS) is a system in which physicians are provided with knowledge that is intelligently filtered and presented at appropriate times to enhance healthcare delivery[10]. CDS systems may include computerized alerts and reminders, condition-specific order sets, and contextually relevant reference information[10,11]. A CDS tool was designed to increase smoking cessation counseling referrals among patients seeking elective surgery at the James J. Peters VA Medical Center (JJP-VAMC) with a secondary objective to assess the utilization rate of this referral system.

METHODS

Design and setting

This was a pretest-posttest study of a CDS tool created in the VA electronic medical record, Computerized Patient Record System (CPRS). The study was managed by the Preventive Medicine Department at the JJP-VAMC and attached to both plastic and vascular surgery clinic notes from July 2019 to February 2020. This CDS tool was designed as a low-click, streamlined means of referring patients to available smoking cessation clinics at the facility. The study was classified as a quality improvement project per VA guidelines and was approved for use in all patients seen in plastic and vascular surgery clinics.

Intervention

An electronic CDS tool was implemented to assess smoking status and desire for treatment at the initiation of plastic and vascular surgery clinic notes. It was designed as a series of three conditional statements to facilitate ease of use. ‘Treatment’ referred to the multiple treatment modalities offered at JJP-VAMC, including either a smoking cessation clinic appointment, where counseling as well as pharmacologic therapies are offered, or weekly support groups. The tool included the following questions: 1) ‘Has the patient used tobacco products within the last 30 days?’, 2) If ‘yes’, ‘Are you interested in smoking cessation treatment?’ and 3) If ‘yes’, the clinician would choose ‘individual treatment’ or ‘group therapy’ (Figure 1). By clicking ‘individual treatment’, the prompt would generate an automatic, pre-populated referral order, with the provider responsible only for providing a suggested consultation date. If ‘Quit Smoking Walk-In Group’ was selected, the tool displayed a printable flyer. If ‘no’ or ‘cancel’ was selected at any time, the template would close with no further actions required. A ‘cancel’ button was found at the bottom of each screen of the tool and could be selected at any time. The tool was designed to record all inputs and premature cancelations.
Figure 1

CDS tool (first screen). This image is the first screen of the CDS tool that appeared when a consultation note was created. The tool was designed to minimize interactivity (mouse clicks), provide only the essential information needed to refer a patient to smoking cessation services, and limit time spent in the tool (reading/clicking) by the clinical user. The following screen (not displayed) allowed placement of a pre-populated referral order

CDS tool (first screen). This image is the first screen of the CDS tool that appeared when a consultation note was created. The tool was designed to minimize interactivity (mouse clicks), provide only the essential information needed to refer a patient to smoking cessation services, and limit time spent in the tool (reading/clicking) by the clinical user. The following screen (not displayed) allowed placement of a pre-populated referral order

Samples

The pretest sample group was defined as the number of referrals to smoking cessation services made by plastic surgery and vascular surgery clinics from June 2018 to June 2019. The posttest sample group was defined as the number of referrals to smoking cessation services using the CDS tool throughout the implementation period. These de-identified data were accessed via the JJP-VAMC Department of Medical Informatics.

Implementation

The first phase of implementation ran from July to November 2019 when the tool was implemented in the plastic surgery clinic only. This clinic had lower volume and therefore served as a pilot environment to assess barriers to CDS deployment before expanding to the larger vascular surgery clinic. The second phase ran from November 2019 to February 2020. This phase saw an expansion of the tool to notes in vascular surgery clinics with continued use by plastic surgery.

Measures and analyses

CDS tool effectiveness was assessed via comparison of referral rates between pretest and posttest samples. Utilization rate was measured as the number of patient encounters for which the tool was used.

RESULTS

A pretest data request of plastic and vascular surgery clinic consultations revealed that zero patients were referred to smoking cessation clinics over the 12 months before study implementation. This encompassed 278 and 564 eligible consultations, respectively. Posttest examination demonstrated that for the plastic surgery clinic, between July 2019 and February 2020, a total of 201 new patient consultations were completed. Providers utilized the CDS tool for 191 (95.0%) patients, with 10 patients (5.0%) bypassed by providers clicking cancel on the collection instrument. Of the 191 patients, 160 (83.7%) were noted to be non-smokers and 31 (16.3%) were active smokers. Twenty-six of the smokers (83.9%) refused treatment, and five smokers (16.1%) accepted individual treatment with a referral to the smoking cessation clinic. Within the vascular surgery clinic, a total of 195 new patient consultations were completed between November 2019 and February 2020. For the 195 consultations, providers utilized the CDS tool for 98 (50.3%) patients, with 97 patients (49.7%) bypassed by providers clicking cancel on the collection instrument. Of the 98 patients, seventy-five (76.5%) were noted to be non-smokers, 10 (10.2%) were logged as active smokers, and thirteen (13.3%) additional patients were lost due to cancelation after initiating data entry. Of the identified smokers, the element was canceled for two (20%), five (50.0%) refused treatment, and three (30.0%) accepted individual treatment with a referral to the smoking cessation clinic. Comparing pretest and posttest values using a one-tailed Z-test, CDS tool implementation produced a significant increase in referrals for both plastic (p=0.00415) and vascular (p=0.00159) clinics.

DISCUSSION

The purpose of this study was to examine the effectiveness and utilization rate of an electronic CDS tool designed to improve referral rates to smoking cessation services in outpatient surgical clinics. The CDS tool successfully improved the incidence of smoking cessation referrals in two surgical clinics from pretest baselines. These clinics had referred zero patients to smoking cessation services in the year before implementation. In the eight months during which tool use was measured, they collectively referred eight smokers to cessation services. Utilization rates varied between surgical clinics, with frequencies of 95.0% in the plastic surgery clinic and 50.3% in the vascular surgery clinic.

Limitations

This study had limitations. First, CPRS required that the tool automatically open when a new patient consultation note was generated. Surgeons endorsed that they typically assess smoking behavior later in the course of patient interviews. The timing of the CDS tool pop-up was dyssynchronous with the optimal workflow of the clinical visit, and the tool did not trigger again if canceled. Moreover, the CDS tool was not mandatory to acknowledge. Both vascular and plastic surgery clinics are high-volume, time-pressured environments, where disruptions in clinic pacing can be detrimental. These factors likely contributed to cancelation rates; CDS tools not integrated into the clinical workflow and not mandatory to acknowledge are more likely to be overridden[12,13]. Next, data was limited to plastic and vascular surgery clinics, which may impact the generalizability of these results to all outpatient surgical clinics. Additionally, though utilization rates are a reasonable predictor for feasibility, further qualitative data on provider’s opinions of tool usability could have informed optimization of the instrument. Finally, multiple attempts to provide education regarding tool use were provided to the vascular clinic, but this was not feasible due to scheduling. Cancelation is presumably the cause behind the low percentage of vascular patients identified as smokers. Despite receiving no formal education on CDS tool use and the aforementioned limitations, the observed utilization rate among vascular surgery residents and attendings was 50.3%, a value in line with successful utilization reported in CDS literature[12-17]. The plastic surgery clinic achieved a 95.0% utilization rate following directed education, suggesting there is potential for significant uptake by surgical providers. The VA health system is a unique environment to test CDS tools aimed at facilitating smoking cessation as VA Directive 1056 states that all facilities must provide patients with opportunities for behavioral counseling and pharmaceutical assistance in quitting smoking[18].

CONCLUSIONS

This study demonstrates that a simple CDS tool can significantly improve referrals by outpatient surgical providers to smoking cessation services. Our preliminary data strongly suggest that future studies should examine the efficacy of expanding comparable CDS tools among outpatient surgical clinics, as these tools enable the preoperative visit to serve as a more impactful opportunity to encourage smoking cessation.
  16 in total

1.  Anesthesiologists, general surgeons, and tobacco interventions in the perioperative period.

Authors:  David O Warner; Michael G Sarr; Kenneth P Offord; Lowell C Dale
Journal:  Anesth Analg       Date:  2004-12       Impact factor: 5.108

Review 2.  Preoperative smoking status and postoperative complications: a systematic review and meta-analysis.

Authors:  Marie Grønkjær; Marie Eliasen; Lise Skrubbeltrang Skov-Ettrup; Janne Schurmann Tolstrup; Anne Hjøllund Christiansen; Stine Schou Mikkelsen; Ulrik Becker; Trine Flensborg-Madsen
Journal:  Ann Surg       Date:  2014-01       Impact factor: 12.969

Review 3.  The impact of smoking on surgical outcomes.

Authors:  Dhruv Khullar; John Maa
Journal:  J Am Coll Surg       Date:  2012-07-12       Impact factor: 6.113

4.  The 2014 Surgeon General's report: commemorating the 50th Anniversary of the 1964 Report of the Advisory Committee to the US Surgeon General and updating the evidence on the health consequences of cigarette smoking.

Authors:  Anthony J Alberg; Donald R Shopland; K Michael Cummings
Journal:  Am J Epidemiol       Date:  2014-01-15       Impact factor: 4.897

5.  Smoking and perioperative outcomes.

Authors:  Alparslan Turan; Edward J Mascha; Dmitry Roberman; Patricia L Turner; Jing You; Andrea Kurz; Daniel I Sessler; Leif Saager
Journal:  Anesthesiology       Date:  2011-04       Impact factor: 7.892

6.  Quitting Smoking Among Adults - United States, 2000-2015.

Authors:  Stephen Babb; Ann Malarcher; Gillian Schauer; Kat Asman; Ahmed Jamal
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2017-01-06       Impact factor: 17.586

Review 7.  Tobacco dependence in surgical patients.

Authors:  David O Warner
Journal:  Curr Opin Anaesthesiol       Date:  2007-06       Impact factor: 2.706

8.  Developing a decision support system for tobacco use counselling using primary care physicians.

Authors:  Theodore W Marcy; Bonnie Kaplan; Scott W Connolly; George Michel; Richard N Shiffman; Brian S Flynn
Journal:  Inform Prim Care       Date:  2008

9.  Size and distribution of the global volume of surgery in 2012.

Authors:  Thomas G Weiser; Alex B Haynes; George Molina; Stuart R Lipsitz; Micaela M Esquivel; Tarsicio Uribe-Leitz; Rui Fu; Tej Azad; Tiffany E Chao; William R Berry; Atul A Gawande
Journal:  Bull World Health Organ       Date:  2016-03-01       Impact factor: 9.408

10.  Mixed methods study of medication-related decision support alerts experienced during electronic prescribing for inpatients at an English hospital.

Authors:  Helen Bell; Sara Garfield; Sonia Khosla; Chimnay Patel; Bryony Dean Franklin
Journal:  Eur J Hosp Pharm       Date:  2018-05-19
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