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Sutton KF, Richman EL, Rees JR, Pugh-Nicholson LL, Craft MM, Peaden SH, Soroka O, Mackey M, Cummings DM, Cherrington AL, Safford MM, Halladay JR. Implementing practice facilitation in research: how facilitators spend their time guiding practices to improve blood pressure control. Implement Sci Commun 2023; 4:89. [PMID: 37525267 PMCID: PMC10388449 DOI: 10.1186/s43058-023-00470-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 07/14/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Practice facilitators (PFs) coach practices through quality improvement (QI) initiatives aimed at enhancing patient outcomes and operational efficiencies. Practice facilitation is a dynamic intervention that, by design, is tailored to practices' unique needs and contexts. Little research has explored the amount of time PFs spend with practices on QI activities. This short report expands on previously published work that detailed a 12-month practice facilitation intervention as part of the Southeastern Collaboration to Improve Blood Pressure Control (SEC) trial, which focused on improving hypertension control among people living in rural settings in the southeastern USA. This report analyzes data on the time PFs spent to guide 32 primary care practices in implementing QI activities to support enhanced outcomes in patients with high blood pressure. METHODS The SEC trial employed four certified PFs across all practice sites, who documented time spent: (1) driving to support practices; (2) working on-site with staff and clinicians; and (3) communicating remotely (phone, email, or video conference) with practice members. We analyzed the data using descriptive statistics to help understand time devoted to individual and aggregated tasks. Additionally, we explored correlations between practice characteristics and time spent with PFs. RESULTS In aggregate, the PFs completed 416 visits to practices and spent an average of 130 (SD 65) min per visit driving to and from practices. The average time spent on-site per visit with practices was 87 (SD 37) min, while an average of 17 (SD 12) min was spent on individual remote communications. During the 12-month intervention, 1131 remote communications were conducted with practices. PFs spent most of their time with clinical staff members (n = 886 instances) or with practice managers alone (n = 670 instances) while relatively few on-site visits were conducted with primary care providers alone (n = 15). In 19 practices, no communications were solely with providers. No significant correlations were found between time spent on PF activities and a practices' percent of Medicaid and uninsured patients, staff-provider ratio, or federally qualified health center (FQHC) status. CONCLUSIONS PFs working with practices serving rural patients with hypertension devote substantial time to driving, highlighting the importance of optimizing a balance between time spent on-site vs. communicating remotely. Most time spent was with clinical staff, not primary care providers. These findings may be useful to researchers and business leaders who design, test, and implement efficient facilitation services. TRIAL REGISTRATION NIH ClinicalTrials.gov NCT02866669 . Registered on 15 August 2016. NHLBI AWARD number: PCS-1UH3HL130691.
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Affiliation(s)
- Kent F Sutton
- University of North Carolina at Chapel Hill, Cecil G. Sheps Center for Health Services Research, Chapel Hill, NC, USA.
- Duke University School of Medicine, Durham, NC, USA.
| | - Erica L Richman
- University of North Carolina at Chapel Hill, Cecil G. Sheps Center for Health Services Research, Chapel Hill, NC, USA
| | - Jennifer R Rees
- University of North Carolina at Chapel Hill, North Carolina Translational and Clinical Sciences, Chapel Hill, NC, USA
| | - Liza L Pugh-Nicholson
- University of Alabama at Birmingham, Birmingham, AL, USA
- Samford University, Birmingham, AL, USA
| | - Macie M Craft
- University of Alabama at Birmingham, Birmingham, AL, USA
| | | | | | - Monique Mackey
- Area L Area Health Education Center, Rocky Mount, NC, USA
| | | | | | | | - Jacqueline R Halladay
- University of North Carolina at Chapel Hill, Cecil G. Sheps Center for Health Services Research, Chapel Hill, NC, USA
- Department of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Empowerment of Primary Healthcare Providers on the Prevention and Management of Dental or Oral Health Issues among Postchemotherapy Patients in Pandemic. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:9087776. [PMID: 35310187 PMCID: PMC8930226 DOI: 10.1155/2022/9087776] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 02/08/2022] [Indexed: 02/01/2023]
Abstract
Objectives. The study aim was to evaluate the empowerment of primary healthcare providers on the prevention and management of dental or oral health issues among postchemotherapy (PC) patients, in selected rural regions, India, during a pandemic. Methods. Initially, 240 PHPs were recruited by convenient and snow ball sampling with 90.3% response rate. A descriptive, cross-sectional study was adopted using a self-administered questionnaire with 5 sections: demographics, identification of dental/oral health issues, knowledge, attitude, and practice on prevention and management of dental/oral health problems in PC patients. Statistical Packages for Social Sciences (SPSS) version 23.0 was used for statistical analysis. Results. The overall knowledge was better among nurses (64.56%), followed by pharmacists (54.5%). 81.65% of PHPs were willing to learn more and expressed the need for collaboration with dentists. In the past 3 months, 18.81% of them had PC patients with dental/oral health issues, but only 3.5% of nurses and 0.8% of pharmacists treated them. The logistic regression model revealed higher scores in mucositis/mucosal pain (OR = 1.41), altered taste sensation (OR = 1.34), sensitive gums (OR = 1.71), and dental caries (OR = 1.32) domains (
). Those who had readiness to learn (OR = 5.37), nurses and pharmacists, and having less years of experience (OR = 1.31) and higher degree (OR = 1.4) had a positive attitude (
). Conclusion. PHPs had limited empowerment in terms of knowledge and practice but showed a positive attitude toward the prevention and management of dental/oral health issues of PC patients. For better practice, continuing education and collaboration with dental professionals is essential.
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Successful Trial of Practice Facilitation for Plan, Do, Study, Act Quality Improvement. J Am Board Fam Med 2021; 34:991-1002. [PMID: 34535524 PMCID: PMC8571730 DOI: 10.3122/jabfm.2021.05.210140] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 06/15/2021] [Accepted: 06/15/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Practice facilitation (PF) is a promising but relatively new intervention supporting data-driven practice change. There is a need to better detail research-based facilitation methods, which must balance intervention fidelity and time restrictions with the flexibility required for the intervention. As part of a multi-level 4-armed cluster randomized clinical trial (RCT), 32 rural primary care practices received PF for 1 year. We evaluated the feasibility of having facilitators guide practices to perform 4 key driver domain activities, implemented as Plan-Do-Study-Act (PDSA) cycles, to better understand facilitation "exposure." We describe the intervention and activity length such that our experiences may be useful to other PF research efforts. METHODS Thirty-two practices serving rural patients involved in the Southeastern Collaboration to Improvement Blood Pressure Control engaged with a facilitator to develop and implement PDSAs nested within key drivers of change domains. Numbers of months practices worked on activities deemed most likely to be sustained were captured along with practice satisfaction data. RESULTS All practices engaged in at least 4 domain-level activities, and 59% of the PDSAs were active for at least 3 months. There was variation by domain in the average length of the PDSA activities. Ninety-seven percent (31 of 32) of practices recommended similarly structured facilitation services to other primary care practices, and 84% (27 of 32) noted substantive changes in their care processes. CONCLUSION In this trial, it was feasible for PFs to engage practices in at least 4 Key Driver quality improvement activities within 1 year, which will inform PF methods and protocol development in future trials.
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Holliday R, Hong B, McColl E, Livingstone-Banks J, Preshaw PM. Interventions for tobacco cessation delivered by dental professionals. Cochrane Database Syst Rev 2021; 2:CD005084. [PMID: 33605440 PMCID: PMC8095016 DOI: 10.1002/14651858.cd005084.pub4] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Dental professionals are well placed to help their patients stop using tobacco products. Large proportions of the population visit the dentist regularly. In addition, the adverse effects of tobacco use on oral health provide a context that dental professionals can use to motivate a quit attempt. OBJECTIVES To assess the effectiveness, adverse events and oral health effects of tobacco cessation interventions offered by dental professionals. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group's Specialised Register up to February 2020. SELECTION CRITERIA We included randomised and quasi-randomised clinical trials assessing tobacco cessation interventions conducted by dental professionals in the dental practice or community setting, with at least six months of follow-up. DATA COLLECTION AND ANALYSIS Two review authors independently reviewed abstracts for potential inclusion and extracted data from included trials. We resolved disagreements by consensus. The primary outcome was abstinence from all tobacco use (e.g. cigarettes, smokeless tobacco) at the longest follow-up, using the strictest definition of abstinence reported. Individual study effects and pooled effects were summarised as risk ratios (RR) and 95% confidence intervals (CI), using Mantel-Haenszel random-effects models to combine studies where appropriate. We assessed statistical heterogeneity with the I2 statistic. We summarised secondary outcomes narratively. MAIN RESULTS Twenty clinical trials involving 14,897 participants met the criteria for inclusion in this review. Sixteen studies assessed the effectiveness of interventions for tobacco-use cessation in dental clinics and four assessed this in community (school or college) settings. Five studies included only smokeless tobacco users, and the remaining studies included either smoked tobacco users only, or a combination of both smoked and smokeless tobacco users. All studies employed behavioural interventions, with four offering nicotine treatment (nicotine replacement therapy (NRT) or e-cigarettes) as part of the intervention. We judged three studies to be at low risk of bias, one to be at unclear risk of bias, and the remaining 16 studies to be at high risk of bias. Compared with usual care, brief advice, very brief advice, or less active treatment, we found very low-certainty evidence of benefit from behavioural support provided by dental professionals, comprising either one session (RR 1.86, 95% CI 1.01 to 3.41; I2 = 66%; four studies, n = 6328), or more than one session (RR 1.90, 95% CI 1.17 to 3.11; I2 = 61%; seven studies, n = 2639), on abstinence from tobacco use at least six months from baseline. We found moderate-certainty evidence of benefit from behavioural interventions provided by dental professionals combined with the provision of NRT or e-cigarettes, compared with no intervention, usual care, brief, or very brief advice only (RR 2.76, 95% CI 1.58 to 4.82; I2 = 0%; four studies, n = 1221). We did not detect a benefit from multiple-session behavioural support provided by dental professionals delivered in a high school or college, instead of a dental setting (RR 1.51, 95% CI 0.86 to 2.65; I2 = 83%; three studies, n = 1020; very low-certainty evidence). Only one study reported adverse events or oral health outcomes, making it difficult to draw any conclusions. AUTHORS' CONCLUSIONS There is very low-certainty evidence that quit rates increase when dental professionals offer behavioural support to promote tobacco cessation. There is moderate-certainty evidence that tobacco abstinence rates increase in cigarette smokers if dental professionals offer behavioural support combined with pharmacotherapy. Further evidence is required to be certain of the size of the benefit and whether adding pharmacological interventions is more effective than behavioural support alone. Future studies should use biochemical validation of abstinence so as to preclude the risk of detection bias. There is insufficient evidence on whether these interventions lead to adverse effects, but no reasons to suspect that these effects would be specific to interventions delivered by dental professionals. There was insufficient evidence that interventions affected oral health.
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Affiliation(s)
- Richard Holliday
- School of Dental Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Bosun Hong
- Oral Surgery Department, Birmingham Dental Hospital, Birmingham, UK
| | - Elaine McColl
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Philip M Preshaw
- School of Dental Sciences, Newcastle University, Newcastle upon Tyne, UK
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Cadham CJ, Jayasekera JC, Advani SM, Fallon SJ, Stephens JL, Braithwaite D, Jeon J, Cao P, Levy DT, Meza R, Taylor KL, Mandelblatt JS. Smoking cessation interventions for potential use in the lung cancer screening setting: A systematic review and meta-analysis. Lung Cancer 2019; 135:205-216. [PMID: 31446996 DOI: 10.1016/j.lungcan.2019.06.024] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 05/27/2019] [Accepted: 06/26/2019] [Indexed: 01/01/2023]
Abstract
OBJECTIVES Current guidelines recommend delivery of smoking cessation interventions with lung cancer screening (LCS). Unfortunately, there are limited data to guide clinicians and policy-makers in choosing cessation interventions in this setting. Several trials are underway to fill this evidence gap, but results are not expected for several years. METHODS AND MATERIALS We conducted a systematic review and meta-analysis of current literature on the efficacy of smoking cessation interventions among populations eligible for LCS. We searched PubMed, Medline, and PsycINFO for randomized controlled trials of smoking cessation interventions published from 2010-2017. Trials were eligible for inclusion if they sampled individuals likely to be eligible for LCS based on age and smoking history, had sample sizes >100, follow-up of 6- or 12-months, and were based in North America, Western Europe, Australia, or New Zealand. RESULTS Three investigators independently screened 3,813 abstracts and identified 332 for full-text review. Of these, 85 trials were included and grouped into categories based on the primary intervention: electronic/web-based, in-person counseling, pharmacotherapy, and telephone counseling. At 6-month follow-up, electronic/web-based (odds ratio [OR] 1.14, 95% CI 1.03-1.25), in-person counseling (OR 1.46, 95% CI 1.25-1.70), and pharmacotherapy (OR 1.53, 95% CI 1.33-1.77) interventions significantly increased the odds of abstinence. Telephone counseling increased the odds but did not reach statistical significance (OR 1.21, 95% CI 0.98-1.50). At 12-months, in-person counseling (OR 1.28 95% CI 1.10-1.50) and pharmacotherapy (OR 1.46, 95% CI 1.17-1.84) remained efficacious, although the decrement in efficacy was of similar magnitude across all intervention categories. CONCLUSIONS Several categories of cessation interventions are promising for implementation in the LCS setting.
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Affiliation(s)
- Christopher J Cadham
- Georgetown University Medical Center-Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, 3300 Whitehaven St. NW, Washington, DC, USA
| | - Jinani C Jayasekera
- Georgetown University Medical Center-Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, 3300 Whitehaven St. NW, Washington, DC, USA.
| | - Shailesh M Advani
- Georgetown University Medical Center-Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, 3300 Whitehaven St. NW, Washington, DC, USA; The National Human Genome Research Institute, National Institutes of Health, 31 Center Drive, Bethesda, MD, USA
| | - Shelby J Fallon
- Georgetown University Medical Center-Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, 3300 Whitehaven St. NW, Washington, DC, USA
| | - Jennifer L Stephens
- Georgetown University Medical Center-Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, 3300 Whitehaven St. NW, Washington, DC, USA
| | - Dejana Braithwaite
- Georgetown University Medical Center-Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, 3300 Whitehaven St. NW, Washington, DC, USA
| | - Jihyoun Jeon
- University of Michigan, School of Public Health, Ann Arbor, 1415 Washington Heights, Ann Arbor, MI, USA
| | - Pianpian Cao
- University of Michigan, School of Public Health, Ann Arbor, 1415 Washington Heights, Ann Arbor, MI, USA
| | - David T Levy
- Georgetown University Medical Center-Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, 3300 Whitehaven St. NW, Washington, DC, USA
| | - Rafael Meza
- University of Michigan, School of Public Health, Ann Arbor, 1415 Washington Heights, Ann Arbor, MI, USA
| | - Kathryn L Taylor
- Georgetown University Medical Center-Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, 3300 Whitehaven St. NW, Washington, DC, USA
| | - Jeanne S Mandelblatt
- Georgetown University Medical Center-Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, 3300 Whitehaven St. NW, Washington, DC, USA
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Taylor GMJ, Dalili MN, Semwal M, Civljak M, Sheikh A, Car J. Internet-based interventions for smoking cessation. Cochrane Database Syst Rev 2017; 9:CD007078. [PMID: 28869775 PMCID: PMC6703145 DOI: 10.1002/14651858.cd007078.pub5] [Citation(s) in RCA: 132] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Tobacco use is estimated to kill 7 million people a year. Nicotine is highly addictive, but surveys indicate that almost 70% of US and UK smokers would like to stop smoking. Although many smokers attempt to give up on their own, advice from a health professional increases the chances of quitting. As of 2016 there were 3.5 billion Internet users worldwide, making the Internet a potential platform to help people quit smoking. OBJECTIVES To determine the effectiveness of Internet-based interventions for smoking cessation, whether intervention effectiveness is altered by tailoring or interactive features, and if there is a difference in effectiveness between adolescents, young adults, and adults. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group Specialised Register, which included searches of MEDLINE, Embase and PsycINFO (through OVID). There were no restrictions placed on language, publication status or publication date. The most recent search was conducted in August 2016. SELECTION CRITERIA We included randomised controlled trials (RCTs). Participants were people who smoked, with no exclusions based on age, gender, ethnicity, language or health status. Any type of Internet intervention was eligible. The comparison condition could be a no-intervention control, a different Internet intervention, or a non-Internet intervention. To be included, studies must have measured smoking cessation at four weeks or longer. DATA COLLECTION AND ANALYSIS Two review authors independently assessed and extracted data. We extracted and, where appropriate, pooled smoking cessation outcomes of six-month follow-up or more, reporting short-term outcomes narratively where longer-term outcomes were not available. We reported study effects as a risk ratio (RR) with a 95% confidence interval (CI).We grouped studies according to whether they (1) compared an Internet intervention with a non-active control arm (e.g. printed self-help guides), (2) compared an Internet intervention with an active control arm (e.g. face-to-face counselling), (3) evaluated the addition of behavioural support to an Internet programme, or (4) compared one Internet intervention with another. Where appropriate we grouped studies by age. MAIN RESULTS We identified 67 RCTs, including data from over 110,000 participants. We pooled data from 35,969 participants.There were only four RCTs conducted in adolescence or young adults that were eligible for meta-analysis.Results for trials in adults: Eight trials compared a tailored and interactive Internet intervention to a non-active control. Pooled results demonstrated an effect in favour of the intervention (RR 1.15, 95% CI 1.01 to 1.30, n = 6786). However, statistical heterogeneity was high (I2 = 58%) and was unexplained, and the overall quality of evidence was low according to GRADE. Five trials compared an Internet intervention to an active control. The pooled effect estimate favoured the control group, but crossed the null (RR 0.92, 95% CI 0.78 to 1.09, n = 3806, I2 = 0%); GRADE quality rating was moderate. Five studies evaluated an Internet programme plus behavioural support compared to a non-active control (n = 2334). Pooled, these studies indicated a positive effect of the intervention (RR 1.69, 95% CI 1.30 to 2.18). Although statistical heterogeneity was substantial (I2 = 60%) and was unexplained, the GRADE rating was moderate. Four studies evaluated the Internet plus behavioural support compared to active control. None of the studies detected a difference between trial arms (RR 1.00, 95% CI 0.84 to 1.18, n = 2769, I2 = 0%); GRADE rating was moderate. Seven studies compared an interactive or tailored Internet intervention, or both, to an Internet intervention that was not tailored/interactive. Pooled results favoured the interactive or tailored programme, but the estimate crossed the null (RR 1.10, 95% CI 0.99 to 1.22, n = 14,623, I2 = 0%); GRADE rating was moderate. Three studies compared tailored with non-tailored Internet-based messages, compared to non-tailored messages. The tailored messages produced higher cessation rates compared to control, but the estimate was not precise (RR 1.17, 95% CI 0.97 to 1.41, n = 4040), and there was evidence of unexplained substantial statistical heterogeneity (I2 = 57%); GRADE rating was low.Results should be interpreted with caution as we judged some of the included studies to be at high risk of bias. AUTHORS' CONCLUSIONS The evidence from trials in adults suggests that interactive and tailored Internet-based interventions with or without additional behavioural support are moderately more effective than non-active controls at six months or longer, but there was no evidence that these interventions were better than other active smoking treatments. However some of the studies were at high risk of bias, and there was evidence of substantial statistical heterogeneity. Treatment effectiveness in younger people is unknown.
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Affiliation(s)
- Gemma M. J. Taylor
- University of BristolMRC Integrative Epidemiology Unit, UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology12a Priory RoadBristolUKBS8 1TU
| | | | - Monika Semwal
- Lee Kong Chian School of Medicine, Nanyang Technological UniversityCentre for Population Health Sciences (CePHaS)SingaporeSingapore
| | | | - Aziz Sheikh
- Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of EdinburghAllergy & Respiratory Research Group and Asthma UK Centre for Applied ResearchTeviot PlaceEdinburghUKEH8 9AG
| | - Josip Car
- Lee Kong Chian School of Medicine, Nanyang Technological UniversityCentre for Population Health Sciences (CePHaS)SingaporeSingapore
- University of LjubljanaDepartment of Family Medicine, Faculty of MedicineLjubljanaSlovenia
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Ramseier CA, Suvan JE. Behaviour change counselling for tobacco use cessation and promotion of healthy lifestyles: a systematic review. J Clin Periodontol 2016; 42 Suppl 16:S47-58. [PMID: 25496370 DOI: 10.1111/jcpe.12351] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/02/2014] [Indexed: 11/27/2022]
Abstract
AIM To systematically assess the efficacy of oral health behaviour change counselling for tobacco use cessation (TUC) and the promotion of healthy lifestyles. MATERIALS AND METHODS Systematic Reviews, Randomized (RCTs), and Controlled Clinical Trials (CCTs) were identified through an electronic search of four databases complemented by manual search. Identification, screening, eligibility and inclusion of studies were performed independently by two reviewers. Quality assessment of the included publications was performed according to the AMSTAR tool for the assessment of the methodological quality of systematic reviews. RESULTS A total of seven systematic reviews were included. With the exception of inadequate oral hygiene, the following unhealthy lifestyles related with periodontal diseases were investigated: tobacco use, unhealthy diets, harmful use of alcohol, physical inactivity, and stress. Brief interventions for TUC were shown to be effective when applied in the dental practice setting while evidence for dietary counselling and the promotion of other healthy lifestyles was limited or non-existent. CONCLUSIONS While aiming to improve periodontal treatment outcomes and the maintenance of periodontal health current evidence suggests that tobacco use brief interventions conducted in the dental practice setting were effective thus underlining the rational for behavioural support.
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Affiliation(s)
- Christoph A Ramseier
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland
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Choi SH, Waltje AH, Ronis DL, Noonan D, Hong O, Richardson CR, Meeker JD, Duffy SA. Web-enhanced tobacco tactics with telephone support versus 1-800-QUIT-NOW telephone line intervention for operating engineers: randomized controlled trial. J Med Internet Res 2014; 16:e255. [PMID: 25447467 PMCID: PMC4260077 DOI: 10.2196/jmir.3375] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2014] [Revised: 08/14/2014] [Accepted: 08/16/2014] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Novel interventions tailored to blue collar workers are needed to reduce the disparities in smoking rates among occupational groups. OBJECTIVE The main objective of this study was to evaluate the efficacy and usage of the Web-enhanced "Tobacco Tactics" intervention targeting operating engineers (heavy equipment operators) compared to the "1-800-QUIT-NOW" telephone line. METHODS Operating engineers (N=145) attending one of 25 safety training sessions from 2010 through 2012 were randomized to either the Tobacco Tactics website with nurse counseling by phone and access to nicotine replacement therapy (NRT) or to the 1-800-QUIT-NOW telephone line, which provided an equal number of phone calls and NRT. The primary outcome was self-reported 7-day abstinence at 30-day and 6-month follow-up. The outcomes were compared using chi-square tests, t tests, generalized mixed models, and logistic regression models. RESULTS The average age was 42 years and most were male (115/145, 79.3%) and white (125/145, 86.2%). Using an intent-to-treat analysis, the Tobacco Tactics website group showed significantly higher quit rates (18/67, 27%) than the 1-800-QUIT NOW group (6/78, 8%) at 30-day follow-up (P=.003), but this difference was no longer significant at 6-month follow-up. There were significantly more positive changes in harm reduction measures (quit attempts, number of cigarettes smoked per day, and nicotine dependence) at both 30-day and 6-month follow-up in the Tobacco Tactics group compared to the 1-800-QUIT-NOW group. Compared to participants in the 1-800-QUIT NOW group, significantly more of those in the Tobacco Tactics website group participated in the interventions, received phone calls and NRT, and found the intervention helpful. CONCLUSIONS The Web-enhanced Tobacco Tactics website with telephone support showed higher efficacy and reach than the 1-800-QUIT-NOW intervention. Longer counseling sessions may be needed to improve 6-month cessation rates. TRIAL REGISTRATION Clinicaltrials.gov NCT01124110; http://clinicaltrials.gov/ct2/show/NCT01124110 (Archived by WebCite at http://www.webcitation.org/6TfKN5iNL).
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Affiliation(s)
- Seung Hee Choi
- Michigan State University, College of Nursing, East Lansing, MI, United States
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