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Damen MAW, Detaille SI, Engels JA, De Lange AH. Perceived Factors Influencing Blue-Collar Workers' Participation in Worksite Health Promotion Programs in Freight Transport: A Qualitative Investigation Using the TDF and COM-B. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:116. [PMID: 38276810 PMCID: PMC10815228 DOI: 10.3390/ijerph21010116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024]
Abstract
Blue-collar workers in the freight transport industry report a high risk of developing chronic diseases, partly due to an unhealthy lifestyle. Worksite health promotion programs (WHPPs) may be able to promote a healthier lifestyle, but participation among blue-collar workers in these programs is generally lower than among other workers. The current study aimed to further examine factors that can explain participation of blue-collar workers in these programs. A pragmatic, qualitative study was conducted, and semi-structured interviews were held with 32 blue-collar workers in freight transport in the Netherlands (94% men, 81% driver, mean age 48 (SD = 11)). The interview guide was based on the Theoretical Domains Framework (TDF) and Capability-Opportunity-Motivation-Behavior (COM-B) model, and was used to assess perceived determinants that influence participation. A combination of framework analysis and thematic analysis was conducted, which yielded the following nine main themes: (i) not being aware of WHPPs on offer, (ii) no clear picture of what to expect, (iii) (not) giving priority to health, (iv) expecting feedback and practical support, (v) being open and ready to change, (vi) preferring to be self-dependent, (vii) being offered a practical, fun and joint WHPP, (viii) having an employer who cares, thinks along and facilitates participation, and (ix) working and living in an environment in which a healthy lifestyle is not the norm. With these insights we were able to formulate recommendations to enhance the participation of blue-collar workers in WHPPs.
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Affiliation(s)
- Marc A. W. Damen
- Faculty of Psychology, Open Universiteit, P.O. Box 2960, 6401 DL Heerlen, The Netherlands
- School of Organization and Development, Han University of Applied Sciences, P.O. Box 6960, 6503 GL Nijmegen, The Netherlands
| | - Sarah I. Detaille
- School of Organization and Development, Han University of Applied Sciences, P.O. Box 6960, 6503 GL Nijmegen, The Netherlands
| | - Josephine A. Engels
- School of Organization and Development, Han University of Applied Sciences, P.O. Box 6960, 6503 GL Nijmegen, The Netherlands
| | - Annet H. De Lange
- Faculty of Psychology, Open Universiteit, P.O. Box 2960, 6401 DL Heerlen, The Netherlands
- Faculty of Social Sciences, Hotel School of Management, University of Stavanger, P.O. Box 8600, 4036 Stavanger, Norway
- Department of Psychology, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
- Department of Psychology, Campus de A Coruña, Universidade da Coruña, 15701 A Coruña, Spain
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Abstract
BACKGROUND Research has suggested that several health risk behaviors were more prevalent among construction workers than among the general workforce. METHODS The prevalences of six health risk behaviors among construction workers were compared with workers in other industries using data from 32 states in the 2013 to 2016 Behavioral Risk Factor Surveillance System (BRFSS). RESULTS Smoking, smokeless tobacco use, binge drinking, no leisure-time physical activity, and not always using a seatbelt were significantly more prevalent (P < 0.001), and short sleep significantly less prevalent (P < 0.05), for all construction workers combined compared with workers in other industries. Prevalences varied substantially for all six health risk behaviors by construction occupation. CONCLUSIONS Due to the high prevalence of some health risk behaviors, construction workers may benefit from interventions to reduce these behaviors, particularly since they are also potentially exposed to workplace hazards.
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Abstract
BACKGROUND Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines. OBJECTIVES To evaluate the effect of telephone support to help smokers quit, including proactive or reactive counselling, or the provision of other information to smokers calling a helpline. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group Specialised Register, clinicaltrials.gov, and the ICTRP for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2018. SELECTION CRITERIA Randomised or quasi-randomised controlled trials which offered proactive or reactive telephone counselling to smokers to assist smoking cessation. DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. We pooled studies using a random-effects model and assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I2 statistic. In trials including smokers who did not call a quitline, we used meta-regression to investigate moderation of the effect of telephone counselling by the planned number of calls in the intervention, trial selection of participants that were motivated to quit, and the baseline support provided together with telephone counselling (either self-help only, brief face-to-face intervention, pharmacotherapy, or financial incentives). MAIN RESULTS We identified 104 trials including 111,653 participants that met the inclusion criteria. Participants were mostly adult smokers from the general population, but some studies included teenagers, pregnant women, and people with long-term or mental health conditions. Most trials (58.7%) were at high risk of bias, while 30.8% were at unclear risk, and only 11.5% were at low risk of bias for all domains assessed. Most studies (100/104) assessed proactive telephone counselling, as opposed to reactive forms.Among trials including smokers who contacted helplines (32,484 participants), quit rates were higher for smokers receiving multiple sessions of proactive counselling (risk ratio (RR) 1.38, 95% confidence interval (CI) 1.19 to 1.61; 14 trials, 32,484 participants; I2 = 72%) compared with a control condition providing self-help materials or brief counselling in a single call. Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate.In studies that recruited smokers who did not call a helpline, the provision of telephone counselling increased quit rates (RR 1.25, 95% CI 1.15 to 1.35; 65 trials, 41,233 participants; I2 = 52%). Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate. In subgroup analysis, we found no evidence that the effect of telephone counselling depended upon whether or not other interventions were provided (P = 0.21), no evidence that more intensive support was more effective than less intensive (P = 0.43), or that the effect of telephone support depended upon whether or not people were actively trying to quit smoking (P = 0.32). However, in meta-regression, telephone counselling was associated with greater effectiveness when provided as an adjunct to self-help written support (P < 0.01), or to a brief intervention from a health professional (P = 0.02); telephone counselling was less effective when provided as an adjunct to more intensive counselling. Further, telephone support was more effective for people who were motivated to try to quit smoking (P = 0.02). The findings from three additional trials of smokers who had not proactively called a helpline but were offered telephone counselling, found quit rates were higher in those offered three to five telephone calls compared to those offered just one call (RR 1.27, 95% CI 1.12 to 1.44; 2602 participants; I2 = 0%). AUTHORS' CONCLUSIONS There is moderate-certainty evidence that proactive telephone counselling aids smokers who seek help from quitlines, and moderate-certainty evidence that proactive telephone counselling increases quit rates in smokers in other settings. There is currently insufficient evidence to assess potential variations in effect from differences in the number of contacts, type or timing of telephone counselling, or when telephone counselling is provided as an adjunct to other smoking cessation therapies. Evidence was inconclusive on the effect of reactive telephone counselling, due to a limited number studies, which reflects the difficulty of studying this intervention.
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Affiliation(s)
| | - José M. Ordóñez‐Mena
- University of OxfordNuffield Department of Primary Care Health SciencesRadcliffe Observatory QuarterWoodstock RoadOxfordOxfordshireUKOX2 6GG
| | - Jamie Hartmann‐Boyce
- University of OxfordNuffield Department of Primary Care Health SciencesRadcliffe Observatory QuarterWoodstock RoadOxfordOxfordshireUKOX2 6GG
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Wolfenden L, Goldman S, Stacey FG, Grady A, Kingsland M, Williams CM, Wiggers J, Milat A, Rissel C, Bauman A, Farrell MM, Légaré F, Ben Charif A, Zomahoun HTV, Hodder RK, Jones J, Booth D, Parmenter B, Regan T, Yoong SL. Strategies to improve the implementation of workplace-based policies or practices targeting tobacco, alcohol, diet, physical activity and obesity. Cochrane Database Syst Rev 2018; 11:CD012439. [PMID: 30480770 PMCID: PMC6362433 DOI: 10.1002/14651858.cd012439.pub2] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Given the substantial period of time adults spend in their workplaces each day, these provide an opportune setting for interventions addressing modifiable behavioural risk factors for chronic disease. Previous reviews of trials of workplace-based interventions suggest they can be effective in modifying a range of risk factors including diet, physical activity, obesity, risky alcohol use and tobacco use. However, such interventions are often poorly implemented in workplaces, limiting their impact on employee health. Identifying strategies that are effective in improving the implementation of workplace-based interventions has the potential to improve their effects on health outcomes. OBJECTIVES To assess the effects of strategies for improving the implementation of workplace-based policies or practices targeting diet, physical activity, obesity, tobacco use and alcohol use.Secondary objectives were to assess the impact of such strategies on employee health behaviours, including dietary intake, physical activity, weight status, and alcohol and tobacco use; evaluate their cost-effectiveness; and identify any unintended adverse effects of implementation strategies on workplaces or workplace staff. SEARCH METHODS We searched the following electronic databases on 31 August 2017: CENTRAL; MEDLINE; MEDLINE In Process; the Campbell Library; PsycINFO; Education Resource Information Center (ERIC); Cumulative Index to Nursing and Allied Health Literature (CINAHL); and Scopus. We also handsearched all publications between August 2012 and September 2017 in two speciality journals: Implementation Science and Journal of Translational Behavioral Medicine. We conducted searches up to September 2017 in Dissertations and Theses, the WHO International Clinical Trials Registry Platform, and the US National Institutes of Health Registry. We screened the reference lists of included trials and contacted authors to identify other potentially relevant trials. We also consulted experts in the field to identify other relevant research. SELECTION CRITERIA Implementation strategies were defined as strategies specifically employed to improve the implementation of health interventions into routine practice within specific settings. We included any trial with a parallel control group (randomised or non-randomised) and conducted at any scale that compared strategies to support implementation of workplace policies or practices targeting diet, physical activity, obesity, risky alcohol use or tobacco use versus no intervention (i.e. wait-list, usual practice or minimal support control) or another implementation strategy. Implementation strategies could include those identified by the Effective Practice and Organisation of Care (EPOC) taxonomy such as quality improvement initiatives and education and training, as well as other strategies. Implementation interventions could target policies or practices directly instituted in the workplace environment, as well as workplace-instituted efforts encouraging the use of external health promotion services (e.g. gym membership subsidies). DATA COLLECTION AND ANALYSIS Review authors working in pairs independently performed citation screening, data extraction and 'Risk of bias' assessment, resolving disagreements via consensus or a third reviewer. We narratively synthesised findings for all included trials by first describing trial characteristics, participants, interventions and outcomes. We then described the effect size of the outcome measure for policy or practice implementation. We performed meta-analysis of implementation outcomes for trials of comparable design and outcome. MAIN RESULTS We included six trials, four of which took place in the USA. Four trials employed randomised controlled trial (RCT) designs. Trials were conducted in workplaces from the manufacturing, industrial and services-based sectors. The sample sizes of workplaces ranged from 12 to 114. Workplace policies and practices targeted included: healthy catering policies; point-of-purchase nutrition labelling; environmental supports for healthy eating and physical activity; tobacco control policies; weight management programmes; and adherence to guidelines for staff health promotion. All implementation interventions utilised multiple implementation strategies, the most common of which were educational meetings, tailored interventions and local consensus processes. Four trials compared an implementation strategy intervention with a no intervention control, one trial compared different implementation interventions, and one three-arm trial compared two implementation strategies with each other and a control. Four trials reported a single implementation outcome, whilst the other two reported multiple outcomes. Investigators assessed outcomes using surveys, audits and environmental observations. We judged most trials to be at high risk of performance and detection bias and at unclear risk of reporting and attrition bias.Of the five trials comparing implementation strategies with a no intervention control, pooled analysis was possible for three RCTs reporting continuous score-based measures of implementation outcomes. The meta-analysis found no difference in standardised effects (standardised mean difference (SMD) -0.01, 95% CI -0.32 to 0.30; 164 participants; 3 studies; low certainty evidence), suggesting no benefit of implementation support in improving policy or practice implementation, relative to control. Findings for other continuous or dichotomous implementation outcomes reported across these five trials were mixed. For the two non-randomised trials examining comparative effectiveness, both reported improvements in implementation, favouring the more intensive implementation group (very low certainty evidence). Three trials examined the impact of implementation strategies on employee health behaviours, reporting mixed effects for diet and weight status (very low certainty evidence) and no effect for physical activity (very low certainty evidence) or tobacco use (low certainty evidence). One trial reported an increase in absolute workplace costs for health promotion in the implementation group (low certainty evidence). None of the included trials assessed adverse consequences. Limitations of the review included the small number of trials identified and the lack of consistent terminology applied in the implementation science field, which may have resulted in us overlooking potentially relevant trials in the search. AUTHORS' CONCLUSIONS Available evidence regarding the effectiveness of implementation strategies for improving implementation of health-promoting policies and practices in the workplace setting is sparse and inconsistent. Low certainty evidence suggests that such strategies may make little or no difference on measures of implementation fidelity or different employee health behaviour outcomes. It is also unclear if such strategies are cost-effective or have potential unintended adverse consequences. The limited number of trials identified suggests implementation research in the workplace setting is in its infancy, warranting further research to guide evidence translation in this setting.
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Affiliation(s)
- Luke Wolfenden
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Sharni Goldman
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
| | - Fiona G Stacey
- University of Newcastle, Hunter Medical Research Institute, Priority Research Centre in Health Behaviour, and Priority Research Centre in Physical Activity and NutritionSchool of Medicine and Public HealthCallaghanNSWAustralia2287
| | - Alice Grady
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Melanie Kingsland
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
| | - Christopher M Williams
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - John Wiggers
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Andrew Milat
- NSW Ministry of HealthCentre for Epidemiology and EvidenceNorth SydneyNSWAustralia2060
- The University of SydneySchool of Public HealthSydneyAustralia
| | - Chris Rissel
- Sydney South West Local Health DistrictOffice of Preventive HealthLiverpoolNSWAustralia2170
| | - Adrian Bauman
- The University of SydneySchool of Public HealthSydneyAustralia
- Sax InstituteThe Australian Prevention Partnership CentreSydneyAustralia
| | - Margaret M Farrell
- US National Cancer InstituteDivision of Cancer Control and Population Sciences/Implementation Sciences Team9609 Medical Center DriveBethesdaMarylandUSA20892
| | - France Légaré
- Université LavalCentre de recherche sur les soins et les services de première ligne de l'Université Laval (CERSSPL‐UL)2525, Chemin de la CanardièreQuebecQuébecCanadaG1J 0A4
| | - Ali Ben Charif
- Centre de recherche sur les soins et les services de première ligne de l'Université Laval (CERSSPL‐UL)Université Laval2525, Chemin de la CanardièreQuebecQuebecCanadaG1J 0A4
| | - Hervé Tchala Vignon Zomahoun
- Centre de recherche sur les soins et les services de première ligne ‐ Université LavalHealth and Social Services Systems, Knowledge Translation and Implementation Component of the SPOR‐SUPPORT Unit of Québec2525, Chemin de la CanardièreQuebecQCCanadaG1J 0A4
| | - Rebecca K Hodder
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Jannah Jones
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Debbie Booth
- University of NewcastleAuchmuty LibraryUniversity DriveCallaghanNSWAustralia2308
| | - Benjamin Parmenter
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
| | - Tim Regan
- University of NewcastleThe School of PsychologyCallaghanAustralia
| | - Sze Lin Yoong
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
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Abstract
BACKGROUND The workplace has potential as a setting through which large groups of people can be reached to encourage smoking cessation. OBJECTIVES 1. To categorize workplace interventions for smoking cessation tested in controlled studies and to determine the extent to which they help workers to stop smoking.2. To collect and evaluate data on costs and cost effectiveness associated with workplace interventions. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group Specialized Register (July 2013), MEDLINE (1966 - July 2013), EMBASE (1985 - June 2013), and PsycINFO (to June 2013), amongst others. We searched abstracts from international conferences on tobacco and the bibliographies of identified studies and reviews for additional references. SELECTION CRITERIA We selected interventions conducted in the workplace to promote smoking cessation. We included only randomized and quasi-randomized controlled trials allocating individuals, workplaces, or companies to intervention or control conditions. DATA COLLECTION AND ANALYSIS One author extracted information relating to the characteristics and content of all kinds of interventions, participants, outcomes and methods of the studies, and a second author checked them. For this update we have conducted meta-analyses of the main interventions, using the generic inverse variance method to generate odds ratios and 95% confidence intervals. MAIN RESULTS We include 57 studies (61 comparisons) in this updated review. We found 31 studies of workplace interventions aimed at individual workers, covering group therapy, individual counselling, self-help materials, nicotine replacement therapy, and social support, and 30 studies testing interventions applied to the workplace as a whole, i.e. environmental cues, incentives, and comprehensive programmes. The trials were generally of moderate to high quality, with results that were consistent with those found in other settings. Group therapy programmes (odds ratio (OR) for cessation 1.71, 95% confidence interval (CI) 1.05 to 2.80; eight trials, 1309 participants), individual counselling (OR 1.96, 95% CI 1.51 to 2.54; eight trials, 3516 participants), pharmacotherapies (OR 1.98, 95% CI 1.26 to 3.11; five trials, 1092 participants), and multiple intervention programmes aimed mainly or solely at smoking cessation (OR 1.55, 95% CI 1.13 to 2.13; six trials, 5018 participants) all increased cessation rates in comparison to no treatment or minimal intervention controls. Self-help materials were less effective (OR 1.16, 95% CI 0.74 to 1.82; six trials, 1906 participants), and two relapse prevention programmes (484 participants) did not help to sustain long-term abstinence. Incentives did not appear to improve the odds of quitting, apart from one study which found a sustained positive benefit. There was a lack of evidence that comprehensive programmes targeting multiple risk factors reduced the prevalence of smoking. AUTHORS' CONCLUSIONS 1. We found strong evidence that some interventions directed towards individual smokers increase the likelihood of quitting smoking. These include individual and group counselling, pharmacological treatment to overcome nicotine addiction, and multiple interventions targeting smoking cessation as the primary or only outcome. All these interventions show similar effects whether offered in the workplace or elsewhere. Self-help interventions and social support are less effective. Although people taking up these interventions are more likely to stop, the absolute numbers who quit are low.2. We failed to detect an effect of comprehensive programmes targeting multiple risk factors in reducing the prevalence of smoking, although this finding was not based on meta-analysed data. 3. There was limited evidence that participation in programmes can be increased by competitions and incentives organized by the employer, although one trial demonstrated a sustained effect of financial rewards for attending a smoking cessation course and for long-term quitting. Further research is needed to establish which components of this trial contributed to the improvement in success rates.4. Further research would be valuable in low-income and developing countries, where high rates of smoking prevail and smoke-free legislation is not widely accepted or enforced.
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Affiliation(s)
- Kate Cahill
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, UK, OX2 6GG
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Wierenga D, Engbers LH, Van Empelen P, Duijts S, Hildebrandt VH, Van Mechelen W. What is actually measured in process evaluations for worksite health promotion programs: a systematic review. BMC Public Health 2013; 13:1190. [PMID: 24341605 PMCID: PMC3890539 DOI: 10.1186/1471-2458-13-1190] [Citation(s) in RCA: 124] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2013] [Accepted: 12/03/2013] [Indexed: 12/02/2022] Open
Abstract
Background Numerous worksite health promotion program (WHPPs) have been implemented the past years to improve employees’ health and lifestyle (i.e., physical activity, nutrition, smoking, alcohol use and relaxation). Research primarily focused on the effectiveness of these WHPPs. Whereas process evaluations provide essential information necessary to improve large scale implementation across other settings. Therefore, this review aims to: (1) further our understanding of the quality of process evaluations alongside effect evaluations for WHPPs, (2) identify barriers/facilitators affecting implementation, and (3) explore the relationship between effectiveness and the implementation process. Methods Pubmed, EMBASE, PsycINFO, and Cochrane (controlled trials) were searched from 2000 to July 2012 for peer-reviewed (randomized) controlled trials published in English reporting on both the effectiveness and the implementation process of a WHPP focusing on physical activity, smoking cessation, alcohol use, healthy diet and/or relaxation at work, targeting employees aged 18-65 years. Results Of the 307 effect evaluations identified, twenty-two (7.2%) published an additional process evaluation and were included in this review. The results showed that eight of those studies based their process evaluation on a theoretical framework. The methodological quality of nine process evaluations was good. The most frequently reported process components were dose delivered and dose received. Over 50 different implementation barriers/facilitators were identified. The most frequently reported facilitator was strong management support. Lack of resources was the most frequently reported barrier. Seven studies examined the link between implementation and effectiveness. In general a positive association was found between fidelity, dose and the primary outcome of the program. Conclusions Process evaluations are not systematically performed alongside effectiveness studies for WHPPs. The quality of the process evaluations is mostly poor to average, resulting in a lack of systematically measured barriers/facilitators. The narrow focus on implementation makes it difficult to explore the relationship between effectiveness and implementation. Furthermore, the operationalisation of process components varied between studies, indicating a need for consensus about defining and operationalising process components.
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Affiliation(s)
- Debbie Wierenga
- Body@Work, Research Centre on Physical Activity, Work and Health, TNO-VUmc, Amsterdam, Netherlands.
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Abstract
BACKGROUND Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines. OBJECTIVES To evaluate the effect of proactive and reactive telephone support via helplines and in other settings to help smokers quit. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group Specialised Register for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2013. SELECTION CRITERIA randomized or quasi-randomised controlled trials in which proactive or reactive telephone counselling to assist smoking cessation was offered to smokers or recent quitters. DATA COLLECTION AND ANALYSIS One author identified and data extracted trials, and a second author checked them. The main outcome measure was the risk ratio for abstinence from smoking after at least six months follow-up. We selected the strictest measure of abstinence, using biochemically validated rates where available. We considered participants lost to follow-up to be continuing smokers. Where trials had more than one arm with a less intensive intervention we used only the most similar intervention without the telephone component as the control group in the primary analysis. We assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I² statistic. We considered trials recruiting callers to quitlines separately from studies recruiting in other settings. Where appropriate, we pooled studies using a fixed-effect model. We used a meta-regression to investigate the effect of differences in planned number of calls, selection for motivation, and the nature of the control condition (self help only, minimal intervention, pharmacotherapy) in the group of studies recruiting in non-quitline settings. MAIN RESULTS Seventy-seven trials met the inclusion criteria. Some trials were judged to be at risk of bias in some domains but overall we did not judge the results to be at high risk of bias. Among smokers who contacted helplines, quit rates were higher for groups randomized to receive multiple sessions of proactive counselling (nine studies, > 24,000 participants, risk ratio (RR) for cessation at longest follow-up 1.37, 95% confidence interval (CI) 1.26 to 1.50). There was mixed evidence about whether increasing the number of calls altered quit rates but most trials used more than two calls. Three studies comparing different counselling approaches during a single quitline contact did not detect significant differences. Of three studies that tested the provision of access to a hotline two detected a significant benefit and one did not.Telephone counselling not initiated by calls to helplines also increased quitting (51 studies, > 30,000 participants, RR 1.27; 95% CI 1.20 to 1.36). In a meta-regression controlling for other factors the effect was estimated to be slightly larger if more calls were offered, and in trials that specifically recruited smokers motivated to try to quit. The relative extra benefit of counselling was smaller when it was provided in addition to pharmacotherapy (usually nicotine replacement therapy) than when the control group only received self-help material or a brief intervention.A further eight studies were too diverse to contribute to meta-analyses and are discussed separately. Two compared different intensities of counselling, both of which detected a dose response; one of these detected a benefit of multiple counselling sessions over a single call for people prescribed bupropion. The others tested a variety of interventions largely involving offering telephone counselling as part of a referral or systems change and none detected evidence of effect. AUTHORS' CONCLUSIONS Proactive telephone counselling aids smokers who seek help from quitlines. Telephone quitlines provide an important route of access to support for smokers, and call-back counselling enhances their usefulness. There is limited evidence about the optimal number of calls. Proactive telephone counselling also helps people who receive it in other settings. There is some evidence of a dose response; one or two brief calls are less likely to provide a measurable benefit. Three or more calls increase the chances of quitting compared to a minimal intervention such as providing standard self-help materials, or brief advice, or compared to pharmacotherapy alone.
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Affiliation(s)
- Lindsay F Stead
- Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, UK, OX2 6GG
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Bondy SJ, Bercovitz KL. “Hike up yer skirt, and quit.” what motivates and supports smoking cessation in builders and renovators. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2013; 10:623-37. [PMID: 23380914 PMCID: PMC3635167 DOI: 10.3390/ijerph10020623] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/07/2012] [Revised: 01/25/2013] [Accepted: 01/30/2013] [Indexed: 11/16/2022]
Abstract
Construction-related occupations have very high smoking prevalence rates and are an identified priority population for efforts to promote cessation. This study sought to identify the smoking cessation supports and services which best suited this workforce group, and to identify gaps in reach of preventive health services. We performed qualitative text analysis on pre-existing conversations about smoking cessation among workers in this sector. The material appeared on a discussion forum about residential construction from 1998 and 2011. Roughly 250 unique user names appeared in these discussions. The qualitative analysis addressed knowledge, motivation, environmental influences, and positive and negative experiences with supports for cessation. Self-identified smokers tended to want to quit and described little social value in smoking. Actual quit attempts were attributed to aging and tangible changes in health and fitness. Peer-to-peer social support for cessation was evident. Advice given was to avoid cigarettes and smokers, to focus on personal skills, personal commitment, and the benefits of cessation (beyond the harms from smoking). Many discussants had received medical support for cessation, but behavioural counselling services appeared underutilized. Our findings support efforts toward more complete bans on workplace smoking and increased promotion of available behavioural support services among dispersed blue-collar workers.
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Affiliation(s)
- Susan J Bondy
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, ON M5T 3M7, Canada.
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Sorensen G, Stoddard A, Quintiliani L, Ebbeling C, Nagler E, Yang M, Pereira L, Wallace L. Tobacco use cessation and weight management among motor freight workers: results of the gear up for health study. Cancer Causes Control 2010; 21:2113-22. [PMID: 20725775 DOI: 10.1007/s10552-010-9630-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2010] [Accepted: 08/02/2010] [Indexed: 11/24/2022]
Abstract
OBJECTIVES To present the results of a study of a worksite-based intervention to promote tobacco use cessation and improve weight management among motor freight workers. METHODS This study used a pre-test/post-test, non-randomized design to assess the effectiveness of a four-month intervention that addressed the social context of the work setting. We evaluated 7-day tobacco quit prevalence among baseline tobacco users, and successful weight management, defined as no weight gain in workers with BMI <25 at baseline and any weight loss among overweight and obese workers. RESULTS At baseline, 40% were current tobacco users, and 88% had a BMI of 25 or greater. Of 542 workers invited to participate, 227 agreed to participate and received at least the first telephone call (42%). Ten-month post-baseline, baseline tobacco users who participated in the intervention were more likely to have quit using tobacco than non-participants: 23.8% vs. 9.1% (p = 0.02). There was no significant improvement in weight management. CONCLUSIONS Incorporating work experiences and job conditions into messages of health behavior change resulted in significant tobacco use cessation among participating motor freight workers.
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Affiliation(s)
- Glorian Sorensen
- Center for Community-Based Research, Dana-Faber Cancer Institute, 44 Binney Street, Boston, MA 02115, USA.
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