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Doherty E, Wiggers J, Wolfenden L, Tully B, Lecathelinais C, Attia J, Elliott EJ, Dunlop A, Symonds I, Rissel C, Tsang TW, Kingsland M. Differential effectiveness of a practice change intervention to improve antenatal care addressing alcohol consumption during pregnancy: Exploratory subgroup analyses within a randomised stepped-wedge controlled trial. Midwifery 2023; 116:103528. [PMID: 36334528 DOI: 10.1016/j.midw.2022.103528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 10/21/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE A practice change intervention demonstrated improvements in the provision of antenatal care addressing alcohol consumption. The aim of this study was to explore whether the effectiveness of the intervention differed between subgroups of pregnant women and types and location of maternity services. DESIGN AND SETTING Post-hoc exploratory subgroup analyses of the outcomes from a randomised stepped-wedge controlled trial conducted with all public maternity services within three sectors of a local health district in Australia. MEASUREMENTS Two outcomes (receipt of alcohol assessment and complete care) measured at two visit types (initial and subsequent) were included in analyses. Logistic regression models explored interactions between pre-post differences and subgroups of women (age, Aboriginal origin, education level, disadvantage, gravidity and alcohol consumption in pregnancy) and services (geographic remoteness, service and provider type/s) that have been reported to be associated with variation in guideline implementation. FINDINGS Surveys from 5694 women were included in the analyses. For the initial visit, no significant differential intervention effects between subgroups of women or type/location of services were found for either outcome. For subsequent visits, the intervention effect differed significantly only between Aboriginal origin subgroups (Aboriginal OR: 1.95; 95% CI: 0.99-3.85; non-Aboriginal OR: 5.34; 95% CI: 4.17-6.83; p<0.01) and women's alcohol consumption in pregnancy subgroups (consumed alcohol OR: 1.28; 95% CI: 0.59-2.78; not consumed alcohol OR: 5.22; 95% CI: 4.11-6.65; p<0.001) for assessment of alcohol consumption. KEY CONCLUSIONS These exploratory results suggest that the intervention may have had similar effects between different subgroups of women and types and location of services, with the exception of women who were non-Aboriginal and women who had not consumed alcohol, for whom the intervention was potentially more effective. IMPLICATIONS FOR PRACTICE The practice change intervention could be implemented with different maternity service and provider types to effectively support improvements in antenatal care addressing alcohol consumption. These exploratory results provide further data for hypothesis generation regarding targeted areas for the testing of additional strategies that enable Aboriginal women to benefit equally from the intervention, and to ensure those women most in need of care, those consuming alcohol during pregnancy, have their care needs met.
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Affiliation(s)
- Emma Doherty
- Population Health, Hunter New England Local Health District, Wallsend, New South Wales 2287, Australia; School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, New Lambton Heights, New South Wales 2305, Australia.
| | - John Wiggers
- Population Health, Hunter New England Local Health District, Wallsend, New South Wales 2287, Australia; School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, New Lambton Heights, New South Wales 2305, Australia
| | - Luke Wolfenden
- Population Health, Hunter New England Local Health District, Wallsend, New South Wales 2287, Australia; School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, New Lambton Heights, New South Wales 2305, Australia
| | - Belinda Tully
- Population Health, Hunter New England Local Health District, Wallsend, New South Wales 2287, Australia
| | - Christophe Lecathelinais
- Population Health, Hunter New England Local Health District, Wallsend, New South Wales 2287, Australia
| | - John Attia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, New Lambton Heights, New South Wales 2305, Australia
| | - Elizabeth J Elliott
- Faculty of Medicine and Health and Discipline of Child and Adolescent Health, The University of Sydney, New South Wales 2006, Australia; Sydney Children's Hospital Network, Kids' Research Institute, Westmead, New South Wales 2145, Australia
| | - Adrian Dunlop
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, New Lambton Heights, New South Wales 2305, Australia; Drug and Alcohol Clinical Services, Hunter New England Local Health District, Newcastle, New South Wales 2302, Australia
| | - Ian Symonds
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Chris Rissel
- College of Medicine and Public Health, Flinders University, Casuarina, Northern Territory 0909, Australia
| | - Tracey W Tsang
- Faculty of Medicine and Health and Discipline of Child and Adolescent Health, The University of Sydney, New South Wales 2006, Australia; Sydney Children's Hospital Network, Kids' Research Institute, Westmead, New South Wales 2145, Australia
| | - Melanie Kingsland
- Population Health, Hunter New England Local Health District, Wallsend, New South Wales 2287, Australia; School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, New Lambton Heights, New South Wales 2305, Australia
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Doherty E, Kingsland M, Wiggers J, Wolfenden L, Hall A, McCrabb S, Tremain D, Hollis J, Licata M, Wynne O, Dilworth S, Daly JB, Tully B, Dray J, Bailey KA, Elliott EJ, Hodder RK. The effectiveness of implementation strategies in improving preconception and antenatal preventive care: a systematic review. Implement Sci Commun 2022; 3:121. [PMID: 36419177 PMCID: PMC9682815 DOI: 10.1186/s43058-022-00368-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 11/03/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Clinical guideline recommendations for addressing modifiable risk factors are not routinely implemented into preconception and antenatal care. This review assessed the effectiveness of implementation strategies in improving health professional provision of preconception and antenatal care addressing tobacco smoking, weight management and alcohol consumption. METHODS A systematic review of randomised and non-randomised studies with a parallel comparison group was conducted. Eligible studies used implementation strategy/ies targeted at health professionals to improve at least one element of preconception and/or antenatal care (smoking: ask, advise, assess, assist, arrange; weight/alcohol: assess, advise, refer) compared to usual practice/control or alternative strategies. Eligible studies were identified via CENTRAL, MEDLINE, EMBASE, Maternity and Infant Care, CINAHL and other sources. Random-effects meta-analyses were conducted where appropriate, with other findings summarised using the direction of effect. The certainty of the pooled evidence was assessed using the GRADE approach. RESULTS Fourteen studies were included in the review. Thirteen were in the antenatal period and 12 tested multiple implementation strategies (median: three). Meta-analyses of RCTs found that implementation strategies compared to usual practice/control probably increase asking (OR: 2.52; 95% CI: 1.13, 5.59; 3 studies; moderate-certainty evidence) and advising (OR: 4.32; 95% CI: 3.06, 6.11; 4 studies; moderate-certainty evidence) about smoking and assessing weight gain (OR: 57.56; 95% CI: 41.78, 79.29; 2 studies; moderate-certainty evidence), and may increase assessing (OR: 2.55; 95% CI: 0.24, 27.06; 2 studies; low-certainty evidence), assisting (OR: 6.34; 95% CI: 1.51, 26.63; 3 studies; low-certainty evidence) and arranging support (OR: 3.55; 95% CI: 0.50, 25.34; 2 studies; low-certainty evidence) for smoking. The true effect of implementation strategies in increasing advice about weight gain (OR: 3.37; 95% CI: 2.34, 4.84; 2 non-randomised studies; very low-certainty evidence) and alcohol consumption (OR: 10.36; 95% CI: 2.37, 41.20; 2 non-randomised studies; very low-certainty evidence) is uncertain due to the quality of evidence to date. CONCLUSIONS Review findings provide some evidence to support the effectiveness of implementation strategies in improving health professional delivery of antenatal care addressing smoking and weight management. Rigorous research is needed to build certainty in the evidence for improving alcohol and weight gain advice, and in preconception care. TRIAL REGISTRATION PROSPERO-CRD42019131691.
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Affiliation(s)
- Emma Doherty
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Melanie Kingsland
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - John Wiggers
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
- National Centre of Implementation Science, Wallsend, NSW 2287 Australia
| | - Luke Wolfenden
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
- National Centre of Implementation Science, Wallsend, NSW 2287 Australia
| | - Alix Hall
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Sam McCrabb
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Danika Tremain
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
| | - Jenna Hollis
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Milly Licata
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Olivia Wynne
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Sophie Dilworth
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Justine B. Daly
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Belinda Tully
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
| | - Julia Dray
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
| | - Kylie A. Bailey
- School of Psychological Sciences, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, NSW Australia
| | - Elizabeth J. Elliott
- Faculty of Medicine and Health and Discipline of Child and Adolescent Health, The University of Sydney, Camperdown, NSW 2006 Australia
- Sydney Children’s Hospital Network, Kids’ Research Institute, Westmead, NSW 2145 Australia
| | - Rebecca K. Hodder
- Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
- National Centre of Implementation Science, Wallsend, NSW 2287 Australia
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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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Chamberlain C, O'Mara‐Eves A, Porter J, Coleman T, Perlen SM, Thomas J, McKenzie JE. Psychosocial interventions for supporting women to stop smoking in pregnancy. Cochrane Database Syst Rev 2017; 2:CD001055. [PMID: 28196405 PMCID: PMC6472671 DOI: 10.1002/14651858.cd001055.pub5] [Citation(s) in RCA: 180] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Tobacco smoking remains one of the few preventable factors associated with complications in pregnancy, and has serious long-term implications for women and babies. Smoking in pregnancy is decreasing in high-income countries, but is strongly associated with poverty and is increasing in low- to middle-income countries. OBJECTIVES To assess the effects of smoking cessation interventions during pregnancy on smoking behaviour and perinatal health outcomes. SEARCH METHODS In this sixth update, we searched the Cochrane Pregnancy and Childbirth Group's Trials Register (13 November 2015), checked reference lists of retrieved studies and contacted trial authors. SELECTION CRITERIA Randomised controlled trials, cluster-randomised trials, and quasi-randomised controlled trials of psychosocial smoking cessation interventions during pregnancy. DATA COLLECTION AND ANALYSIS Two review authors independently assessed trials for inclusion and trial quality, and extracted data. Direct comparisons were conducted in RevMan, with meta-regression conducted in STATA 14. MAIN RESULTS The overall quality of evidence was moderate to high, with reductions in confidence due to imprecision and heterogeneity for some outcomes. One hundred and two trials with 120 intervention arms (studies) were included, with 88 trials (involving over 28,000 women) providing data on smoking abstinence in late pregnancy. Interventions were categorised as counselling, health education, feedback, incentives, social support, exercise and dissemination.In separate comparisons, there is high-quality evidence that counselling increased smoking cessation in late pregnancy compared with usual care (30 studies; average risk ratio (RR) 1.44, 95% confidence interval (CI) 1.19 to 1.73) and less intensive interventions (18 studies; average RR 1.25, 95% CI 1.07 to 1.47). There was uncertainty whether counselling increased the chance of smoking cessation when provided as one component of a broader maternal health intervention or comparing one type of counselling with another. In studies comparing counselling and usual care (largest comparison), it was unclear whether interventions prevented smoking relapse among women who had stopped smoking spontaneously in early pregnancy. However, a clear effect was seen in smoking abstinence at zero to five months postpartum (11 studies; average RR 1.59, 95% CI 1.26 to 2.01) and 12 to 17 months (two studies, average RR 2.20, 95% CI 1.23 to 3.96), with a borderline effect at six to 11 months (six studies; average RR 1.33, 95% CI 1.00 to 1.77). In other comparisons, the effect was unclear for most secondary outcomes, but sample sizes were small.Evidence suggests a borderline effect of health education compared with usual care (five studies; average RR 1.59, 95% CI 0.99 to 2.55), but the quality was downgraded to moderate as the effect was unclear when compared with less intensive interventions (four studies; average RR 1.20, 95% CI 0.85 to 1.70), alternative interventions (one study; RR 1.88, 95% CI 0.19 to 18.60), or when smoking cessation health education was provided as one component of a broader maternal health intervention.There was evidence feedback increased smoking cessation when compared with usual care and provided in conjunction with other strategies, such as counselling (average RR 4.39, 95% CI 1.89 to 10.21), but the confidence in the quality of evidence was downgraded to moderate as this was based on only two studies and the effect was uncertain when feedback was compared to less intensive interventions (three studies; average RR 1.29, 95% CI 0.75 to 2.20).High-quality evidence suggests incentive-based interventions are effective when compared with an alternative (non-contingent incentive) intervention (four studies; RR 2.36, 95% CI 1.36 to 4.09). However pooled effects were not calculable for comparisons with usual care or less intensive interventions (substantial heterogeneity, I2 = 93%).High-quality evidence suggests the effect is unclear in social support interventions provided by peers (six studies; average RR 1.42, 95% CI 0.98 to 2.07), in a single trial of support provided by partners, or when social support for smoking cessation was provided as part of a broader intervention to improve maternal health.The effect was unclear in single interventions of exercise compared to usual care (RR 1.20, 95% CI 0.72 to 2.01) and dissemination of counselling (RR 1.63, 95% CI 0.62 to 4.32).Importantly, high-quality evidence from pooled results demonstrated that women who received psychosocial interventions had a 17% reduction in infants born with low birthweight, a significantly higher mean birthweight (mean difference (MD) 55.60 g, 95% CI 29.82 to 81.38 g higher) and a 22% reduction in neonatal intensive care admissions. However the difference in preterm births and stillbirths was unclear. There did not appear to be adverse psychological effects from the interventions.The intensity of support women received in both the intervention and comparison groups has increased over time, with higher-intensity interventions more likely to have higher-intensity comparisons, potentially explaining why no clear differences were seen with increasing intervention intensity in meta-regression analyses. Among meta-regression analyses: studies classified as having 'unclear' implementation and unequal baseline characteristics were less effective than other studies. There was no clear difference between trials implemented by researchers (efficacy studies), and those implemented by routine pregnancy staff (effectiveness studies), however there was uncertainty in the effectiveness of counselling in four dissemination trials where the focus on the intervention was at an organisational level. The pooled effects were similar in interventions provided for women classified as having predominantly low socio-economic status, compared to other women. The effect was significant in interventions among women from ethnic minority groups; however not among indigenous women. There were similar effect sizes in trials with biochemically validated smoking abstinence and those with self-reported abstinence. It was unclear whether incorporating use of self-help manuals or telephone support increased the effectiveness of interventions. AUTHORS' CONCLUSIONS Psychosocial interventions to support women to stop smoking in pregnancy can increase the proportion of women who stop smoking in late pregnancy and the proportion of infants born low birthweight. Counselling, feedback and incentives appear to be effective, however the characteristics and context of the interventions should be carefully considered. The effect of health education and social support is less clear. New trials have been published during the preparation of this review and will be included in the next update.
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Affiliation(s)
- Catherine Chamberlain
- La Trobe UniversityJudith Lumley Centre251 Faraday StreetMelbourneVicAustralia3000
- University of MelbourneMelbourne School of Population and Global HealthMelbourneAustralia
- Monash UniversitySchool of Public Health & Preventive MedicineMelbourneAustralia
- Murdoch Childrens Research InstituteHealthy Mothers Healthy Families Research GroupMelbourneVictoriaAustralia3052
| | - Alison O'Mara‐Eves
- University College LondonEPPI‐Centre, Social Science Research Unit, UCL Institute of Education18 Woburn SquareLondonUKWC1H 0NR
| | - Jessie Porter
- University of MelbourneMelbourne School of Population and Global HealthMelbourneAustralia
| | - Tim Coleman
- University of NottinghamDivision of Primary CareD1411, Medical SchoolQueen's Medical CentreNottinghamUKNG7 2UH
| | - Susan M Perlen
- Murdoch Childrens Research InstituteHealthy Mothers Healthy Families Research GroupMelbourneVictoriaAustralia3052
| | - James Thomas
- University College LondonEPPI‐Centre, Social Science Research Unit, UCL Institute of Education18 Woburn SquareLondonUKWC1H 0NR
| | - Joanne E McKenzie
- Monash UniversitySchool of Public Health & Preventive MedicineMelbourneAustralia
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Abstract
BACKGROUND System change interventions for smoking cessation are policies and practices designed by organizations to integrate the identification of smokers and the subsequent offering of evidence-based nicotine dependence treatments into usual care. Such strategies have the potential to improve the provision of smoking cessation support in healthcare settings, and cessation outcomes among those who use them. OBJECTIVES To assess the effectiveness of system change interventions within healthcare settings, for increasing smoking cessation or the provision of smoking cessation care, or both. SEARCH METHODS We searched databases including the Cochrane Tobacco Addiction Group Specialized Register, CENTRAL, MEDLINE, Embase, CINAHL, and PsycINFO in February 2016. We also searched clinical trial registries: WHO clinical trial registry, US National Institute of Health (NIH) clinical trial registry. We checked 'grey' literature, and handsearched bibliographies of relevant papers and publications. SELECTION CRITERIA Randomized controlled trials (RCTs), cluster-RCTs, quasi-RCTs and interrupted time series studies that evaluated a system change intervention, which included identification of all smokers and subsequent offering of evidence-based nicotine dependence treatment. DATA COLLECTION AND ANALYSIS Using a standardized form, we extracted data from eligible studies on study settings, participants, interventions and outcomes of interest (both cessation and system-level outcomes). For cessation outcomes, we used the strictest available criteria to define abstinence. System-level outcomes included assessment and documentation of smoking status, provision of advice to quit or cessation counselling, referral and enrolment in quitline services, and prescribing of cessation medications. We assessed risks of bias according to the Cochrane Handbook and categorized each study as being at high, low or unclear risk of bias. We used a narrative synthesis to describe the effectiveness of the interventions on various outcomes, because of significant heterogeneity among studies. MAIN RESULTS We included seven cluster-randomized controlled studies in this review. We rated the quality of evidence as very low or low, depending on the outcome, according to the GRADE standard. Evidence of efficacy was equivocal for abstinence from smoking at the longest follow-up (four studies), and for the secondary outcome 'prescribing of smoking cessation medications' (two studies). Four studies evaluated changes in provision of smoking cessation counselling and three favoured the intervention. There were significant improvements in documentation of smoking status (one study), quitline referral (two studies) and quitline enrolment (two studies). Other secondary endpoints, such as asking about tobacco use (three studies) and advising to quit (three studies), also indicated some positive effects. AUTHORS' CONCLUSIONS The available evidence suggests that system change interventions for smoking cessation may not be effective in achieving increased cessation rates, but have been shown to improve process outcomes, such as documentation of smoking status, provision of cessation counselling and referral to smoking cessation services. However, as the available research is limited we are not able to draw strong conclusions. There is a need for additional high-quality research to explore the impact of system change interventions on both cessation and system-level outcomes.
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Affiliation(s)
- Dennis Thomas
- Faculty of Pharmacy and Pharmaceutical Sciences, Monash UniversityCentre for Medicine Use and SafetyParkville Campus381 Royal ParadeParkvilleVictoriaAustralia3052
| | - Michael J Abramson
- School of Public Health & Preventive Medicine, Monash UniversityEpidemiology & Preventive MedicineMelbourneVictoriaAustralia3004
| | - Billie Bonevski
- University of NewcastleSchool of Medicine & Public HealthDavid Maddison BuildingCnr of King and Watt StreetsNewcastleNSWAustralia2300
| | - Johnson George
- Monash UniversityCentre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical SciencesParkvilleVICAustralia3052
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Miyazaki Y, Hayashi K, Imazeki S. Smoking cessation in pregnancy: psychosocial interventions and patient-focused perspectives. Int J Womens Health 2015; 7:415-27. [PMID: 25960677 PMCID: PMC4411022 DOI: 10.2147/ijwh.s54599] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Smoking during pregnancy causes obstetric and fetal complications, and smoking cessation may have great benefits for the mother and the child. However, some pregnant women continue smoking even in pregnancy. OBJECTIVE To review the literature addressing the prevalence of smoking during pregnancy, explore psychosocial factors associated with smoking, and review the evidence of psychosocial interventions for smoking cessation during pregnancy in recent years. LITERATURE REVIEW Computerized Internet search results in PubMed for the years spanning from 2004 to 2014, as well as references cited in articles, were reviewed. A search for the keywords "smoking cessation pregnancy" and "intervention" and "clinical trials" yielded 52 citations. Thirty-five citations were identified as useful to this review for the evidence of psychosocial interventions for smoking cessation during pregnancy. RESULTS The prevalence of smoking during pregnancy differs by country, reflecting the countries' social, cultural, and ethnic backgrounds. Women who had socioeconomic disadvantages, problems in their interpersonal relationships, higher stress, depression, less social support, and who engaged in health-risk behaviors were more prone to smoking during pregnancy. Psychosocial interventions, such as counseling, are effective methods for increasing smoking cessation. CONCLUSION Smokers may have various psychosocial problems in addition to health problems. It is important to understand each individual's social situation or psychosocial characteristics, and a psychosocial intervention focused on the characteristics of the individual is required.
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Affiliation(s)
- Yukiko Miyazaki
- Faculty of Health Care, Takasaki University of Health and Welfare, Takasaki, Japan
| | - Kunihiko Hayashi
- School of Health Sciences, Faculty of Medicine, Gunma University, Maebashi, Japan
| | - Setsuko Imazeki
- Faculty of Health Care, Takasaki University of Health and Welfare, Takasaki, Japan
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Chamberlain C, O’Mara-Eves A, Oliver S, Caird JR, Perlen SM, Eades SJ, Thomas J. Psychosocial interventions for supporting women to stop smoking in pregnancy. Cochrane Database Syst Rev 2013; 10:CD001055. [PMID: 24154953 PMCID: PMC4022453 DOI: 10.1002/14651858.cd001055.pub4] [Citation(s) in RCA: 178] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND Tobacco smoking in pregnancy remains one of the few preventable factors associated with complications in pregnancy, stillbirth, low birthweight and preterm birth and has serious long-term implications for women and babies. Smoking in pregnancy is decreasing in high-income countries, but is strongly associated with poverty and increasing in low- to middle-income countries. OBJECTIVES To assess the effects of smoking cessation interventions during pregnancy on smoking behaviour and perinatal health outcomes. SEARCH METHODS In this fifth update, we searched the Cochrane Pregnancy and Childbirth Group's Trials Register (1 March 2013), checked reference lists of retrieved studies and contacted trial authors to locate additional unpublished data. SELECTION CRITERIA Randomised controlled trials, cluster-randomised trials, randomised cross-over trials, and quasi-randomised controlled trials (with allocation by maternal birth date or hospital record number) of psychosocial smoking cessation interventions during pregnancy. DATA COLLECTION AND ANALYSIS Two review authors independently assessed trials for inclusion and trial quality, and extracted data. Direct comparisons were conducted in RevMan, and subgroup analyses and sensitivity analysis were conducted in SPSS. MAIN RESULTS Eighty-six trials were included in this updated review, with 77 trials (involving over 29,000 women) providing data on smoking abstinence in late pregnancy.In separate comparisons, counselling interventions demonstrated a significant effect compared with usual care (27 studies; average risk ratio (RR) 1.44, 95% confidence interval (CI) 1.19 to 1.75), and a borderline effect compared with less intensive interventions (16 studies; average RR 1.35, 95% CI 1.00 to 1.82). However, a significant effect was only seen in subsets where counselling was provided in conjunction with other strategies. It was unclear whether any type of counselling strategy is more effective than others (one study; RR 1.15, 95% CI 0.86 to 1.53). In studies comparing counselling and usual care (the largest comparison), it was unclear whether interventions prevented smoking relapse among women who had stopped smoking spontaneously in early pregnancy (eight studies; average RR 1.06, 95% CI 0.93 to 1.21). However, a clear effect was seen in smoking abstinence at zero to five months postpartum (10 studies; average RR 1.76, 95% CI 1.05 to 2.95), a borderline effect at six to 11 months (six studies; average RR 1.33, 95% CI 1.00 to 1.77), and a significant effect at 12 to 17 months (two studies, average RR 2.20, 95% CI 1.23 to 3.96), but not in the longer term. In other comparisons, the effect was not significantly different from the null effect for most secondary outcomes, but sample sizes were small.Incentive-based interventions had the largest effect size compared with a less intensive intervention (one study; RR 3.64, 95% CI 1.84 to 7.23) and an alternative intervention (one study; RR 4.05, 95% CI 1.48 to 11.11).Feedback interventions demonstrated a significant effect only when compared with usual care and provided in conjunction with other strategies, such as counselling (two studies; average RR 4.39, 95% CI 1.89 to 10.21), but the effect was unclear when compared with a less intensive intervention (two studies; average RR 1.19, 95% CI 0.45 to 3.12).The effect of health education was unclear when compared with usual care (three studies; average RR 1.51, 95% CI 0.64 to 3.59) or less intensive interventions (two studies; average RR 1.50, 95% CI 0.97 to 2.31).Social support interventions appeared effective when provided by peers (five studies; average RR 1.49, 95% CI 1.01 to 2.19), but the effect was unclear in a single trial of support provided by partners.The effects were mixed where the smoking interventions were provided as part of broader interventions to improve maternal health, rather than targeted smoking cessation interventions.Subgroup analyses on primary outcome for all studies showed the intensity of interventions and comparisons has increased over time, with higher intensity interventions more likely to have higher intensity comparisons. While there was no significant difference, trials where the comparison group received usual care had the largest pooled effect size (37 studies; average RR 1.34, 95% CI 1.25 to 1.44), with lower effect sizes when the comparison group received less intensive interventions (30 studies; average RR 1.20, 95% CI 1.08 to 1.31), or alternative interventions (two studies; average RR 1.26, 95% CI 0.98 to 1.53). More recent studies included in this update had a lower effect size (20 studies; average RR 1.26, 95% CI 1.00 to 1.59), I(2)= 3%, compared to those in the previous version of the review (50 studies; average RR 1.50, 95% CI 1.30 to 1.73). There were similar effect sizes in trials with biochemically validated smoking abstinence (49 studies; average RR 1.43, 95% CI 1.22 to 1.67) and those with self-reported abstinence (20 studies; average RR 1.48, 95% CI 1.17 to 1.87). There was no significant difference between trials implemented by researchers (efficacy studies), and those implemented by routine pregnancy staff (effectiveness studies), however the effect was unclear in three dissemination trials of counselling interventions where the focus on the intervention was at an organisational level (average RR 0.96, 95% CI 0.37 to 2.50). The pooled effects were similar in interventions provided for women with predominantly low socio-economic status (44 studies; average RR 1.41, 95% CI 1.19 to 1.66), compared to other women (26 studies; average RR 1.47, 95% CI 1.21 to 1.79); though the effect was unclear in interventions among women from ethnic minority groups (five studies; average RR 1.08, 95% CI 0.83 to 1.40) and aboriginal women (two studies; average RR 0.40, 95% CI 0.06 to 2.67). Importantly, pooled results demonstrated that women who received psychosocial interventions had an 18% reduction in preterm births (14 studies; average RR 0.82, 95% CI 0.70 to 0.96), and infants born with low birthweight (14 studies; average RR 0.82, 95% CI 0.71 to 0.94). There did not appear to be any adverse effects from the psychosocial interventions, and three studies measured an improvement in women's psychological wellbeing. AUTHORS' CONCLUSIONS Psychosocial interventions to support women to stop smoking in pregnancy can increase the proportion of women who stop smoking in late pregnancy, and reduce low birthweight and preterm births.
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Affiliation(s)
- Catherine Chamberlain
- Global Health and Society Unit, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Alison O’Mara-Eves
- EPPI-Centre, Social Science Research Unit, Institute of Education, University of London, London, UK
| | - Sandy Oliver
- EPPI-Centre, Social Science Research Unit, Institute of Education, University of London, London, UK
| | - Jenny R Caird
- EPPI-Centre, Social Science Research Unit, Institute of Education, University of London, London, UK
| | - Susan M Perlen
- Healthy Mothers Healthy Families Research Group, Murdoch Childrens Research Institute, Melbourne, Australia
| | - Sandra J Eades
- School of Public Health, Sydney School of Medicine, University of Sydney, Sydney, Australia
| | - James Thomas
- EPPI-Centre, Social Science Research Unit, Institute of Education, University of London, London, UK
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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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9
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Carson KV, Verbiest MEA, Crone MR, Brinn MP, Esterman AJ, Assendelft WJJ, Smith BJ. Training health professionals in smoking cessation. Cochrane Database Syst Rev 2012:CD000214. [PMID: 22592671 PMCID: PMC10088066 DOI: 10.1002/14651858.cd000214.pub2] [Citation(s) in RCA: 129] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND Cigarette smoking is one of the leading causes of preventable death world wide. There is good evidence that brief interventions from health professionals can increase smoking cessation attempts. A number of trials have examined whether skills training for health professionals can lead them to have greater success in helping their patients who smoke. OBJECTIVES To determine the effectiveness of training health care professionals in the delivery of smoking cessation interventions to their patients, and to assess the additional effects of training characteristics such as intervention content, delivery method and intensity. SEARCH METHODS The Cochrane Tobacco Addiction Group's Specialised Register, electronic databases and the bibliographies of identified studies were searched and raw data was requested from study authors where needed. Searches were updated in March 2012. SELECTION CRITERIA Randomized trials in which the intervention was training of health care professionals in smoking cessation. Trials were considered if they reported outcomes for patient smoking at least six months after the intervention. Process outcomes needed to be reported, however trials that reported effects only on process outcomes and not smoking behaviour were excluded. DATA COLLECTION AND ANALYSIS Information relating to the characteristics of each included study for interventions, participants, outcomes and methods were extracted by two independent reviewers. Studies were combined in a meta-analysis where possible and reported in narrative synthesis in text and table. MAIN RESULTS Of seventeen included studies, thirteen found no evidence of an effect for continuous smoking abstinence following the intervention. Meta-analysis of 14 studies for point prevalence of smoking produced a statistically and clinically significant effect in favour of the intervention (OR 1.36, 95% CI 1.20 to 1.55, p= 0.004). Meta-analysis of eight studies that reported continuous abstinence was also statistically significant (OR 1.60, 95% CI 1.26 to 2.03, p= 0.03).Healthcare professionals who had received training were more likely to perform tasks of smoking cessation than untrained controls, including: asking patients to set a quit date (p< 0.0001), make follow-up appointments (p< 0.00001), counselling of smokers (p< 0.00001), provision of self-help material (p< 0.0001) and prescription of a quit date (p< 0.00001). No evidence of an effect was observed for the provision of nicotine gum/replacement therapy. AUTHORS' CONCLUSIONS Training health professionals to provide smoking cessation interventions had a measurable effect on the point prevalence of smoking, continuous abstinence and professional performance. The one exception was the provision of nicotine gum or replacement therapy, which did not differ between groups.
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Affiliation(s)
- Kristin V Carson
- Clinical Practice Unit, The Queen Elizabeth Hospital, Adelaide, Australia.
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