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Julian McFarlane S, Occa A, Peng W, Awonuga O, Morgan SE. Community-Based Participatory Research (CBPR) to Enhance Participation of Racial/Ethnic Minorities in Clinical Trials: A 10-Year Systematic Review. HEALTH COMMUNICATION 2022; 37:1075-1092. [PMID: 34420460 DOI: 10.1080/10410236.2021.1943978] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
There has not been a significant improvement in the rate of clinical trial accrual in more than 20 years. Worse, the challenge of inadequate representation among racial and ethnic minorities also persists, deepening disparities in health. Community-Based Participatory Research (CBPR) is a participatory communication method that centers on effective dialogue between researchers and community stakeholders with the goal of creating an equitable partnership for health and social change. The objective of the current study was to provide an update since a systematic review in 2012, on the current status of the empirical research, with a particular focus on the elements of CBPR methods used to improve the rate of accrual of members of racial and ethnic minority communities for clinical trials. Our systematic review found a large increase in the number of CBPR related studies and studies related to racial and ethnic representation in research. More than 85% of studies employing CBPR methods saw statistically positive outcomes. Specifically, the elements of CBPR that are associated with these positive outcomes include community partner participation in (1) a study advisory committee, (2) data collection, (3) the development of interventions, and (4) participant recruitment. However, the results of our study indicate that researchers need to be more transparent about the extent of community participation as well as more thoroughly and accurately describe the nature of the partnership with members of minority communities in order to build upon the scientific literature on community-engaged methods.
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Affiliation(s)
| | - Aurora Occa
- Department of Communication, University of Kentucky
| | - Wei Peng
- Murrow College of Communication, Washington State University
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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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Shin CN, Keller C, Sim J, Im EO, Belyea M, Ainsworth B. Interventions for Cardiovascular Disease Risk Reduction in Korean Americans: A Systematic Review. Clin Nurs Res 2018; 29:84-96. [PMID: 30081656 DOI: 10.1177/1054773818793602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This systematic review was to identify and synthesize literature that described the cultural appropriateness and effectiveness of interventions aimed at cardiovascular risk reduction in Korean Americans. We searched multiple electronic databases for studies published between January 2000 and August 2017 and identified 14 eligible research reports. All reviewed studies targeted first-generation Korean American adults. Most of the reviewed studies incorporated components of surface structure, and leveraged deep structure in those interventions. Significant changes in cardiovascular health outcomes were reported in most of the reviewed studies; however, the role of cultural factors in the outcomes was rarely evaluated, and few reported long-term effects. Future research needs to consider long-term effects. Deploying cultural factors and evaluating their contributions to the target outcomes will enhance the research on cardiovascular health disparities.
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Affiliation(s)
| | | | - Jeongha Sim
- Jeonju University, Jeollabuk-do, South Korea
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Nguyen Thanh V, Guignard R, Lancrenon S, Bertrand C, Delva C, Berlin I, Pasquereau A, Arwidson P. Effectiveness of a Fully Automated Internet-Based Smoking Cessation Program: A Randomized Controlled Trial (STAMP). Nicotine Tob Res 2018; 21:163-172. [DOI: 10.1093/ntr/nty016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 01/17/2018] [Indexed: 11/12/2022]
Affiliation(s)
- Viet Nguyen Thanh
- Santé publique France, the National Public Health Agency, Saint Maurice Cedex, France
| | - Romain Guignard
- Santé publique France, the National Public Health Agency, Saint Maurice Cedex, France
| | | | - Camille Bertrand
- Santé publique France, the National Public Health Agency, Saint Maurice Cedex, France
| | | | - Ivan Berlin
- Ivan Berlin, Université P. & M. Curie, Faculté de médecine-Assistance publique-Hôpitaux de Paris, CESP-INSERM U 1018, Villejuif, France
| | - Anne Pasquereau
- Santé publique France, the National Public Health Agency, Saint Maurice Cedex, France
| | - Pierre Arwidson
- Santé publique France, the National Public Health Agency, Saint Maurice Cedex, France
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van den Brand FA, Nagelhout GE, Reda AA, Winkens B, Evers SMAA, Kotz D, van Schayck OCP. Healthcare financing systems for increasing the use of tobacco dependence treatment. Cochrane Database Syst Rev 2017; 9:CD004305. [PMID: 28898403 PMCID: PMC6483741 DOI: 10.1002/14651858.cd004305.pub5] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Tobacco smoking is the leading preventable cause of death worldwide, which makes it essential to stimulate smoking cessation. The financial cost of smoking cessation treatment can act as a barrier to those seeking support. We hypothesised that provision of financial assistance for people trying to quit smoking, or reimbursement of their care providers, could lead to an increased rate of successful quit attempts. This is an update of the original 2005 review. OBJECTIVES The primary objective of this review was to assess the impact of reducing the costs for tobacco smokers or healthcare providers for using or providing smoking cessation treatment through healthcare financing interventions on abstinence from smoking. The secondary objectives were to examine the effects of different levels of financial support on the use or prescription of smoking cessation treatment, or both, and on the number of smokers making a quit attempt (quitting smoking for at least 24 hours). We also assessed the cost effectiveness of different financial interventions, and analysed the costs per additional quitter, or per quality-adjusted life year (QALY) gained. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group Specialised Register in September 2016. SELECTION CRITERIA We considered randomised controlled trials (RCTs), controlled trials and interrupted time series studies involving financial benefit interventions to smokers or their healthcare providers, or both. DATA COLLECTION AND ANALYSIS Two reviewers independently extracted data and assessed the quality of the included studies. We calculated risk ratios (RR) for individual studies on an intention-to-treat basis and performed meta-analysis using a random-effects model. MAIN RESULTS In the current update, we have added six new relevant studies, resulting in a total of 17 studies included in this review involving financial interventions directed at smokers or healthcare providers, or both.Full financial interventions directed at smokers had a favourable effect on abstinence at six months or longer when compared to no intervention (RR 1.77, 95% CI 1.37 to 2.28, I² = 33%, 9333 participants). There was no evidence that full coverage interventions increased smoking abstinence compared to partial coverage interventions (RR 1.02, 95% CI 0.71 to 1.48, I² = 64%, 5914 participants), but partial coverage interventions were more effective in increasing abstinence than no intervention (RR 1.27 95% CI 1.02 to 1.59, I² = 21%, 7108 participants). The economic evaluation showed costs per additional quitter ranging from USD 97 to USD 7646 for the comparison of full coverage with partial or no coverage.There was no clear evidence of an effect on smoking cessation when we pooled two trials of financial incentives directed at healthcare providers (RR 1.16, CI 0.98 to 1.37, I² = 0%, 2311 participants).Full financial interventions increased the number of participants making a quit attempt when compared to no interventions (RR 1.11, 95% CI 1.04 to 1.17, I² = 15%, 9065 participants). There was insufficient evidence to show whether partial financial interventions increased quit attempts compared to no interventions (RR 1.13, 95% CI 0.98 to 1.31, I² = 88%, 6944 participants).Full financial interventions increased the use of smoking cessation treatment compared to no interventions with regard to various pharmacological and behavioural treatments: nicotine replacement therapy (NRT): RR 1.79, 95% CI 1.54 to 2.09, I² = 35%, 9455 participants; bupropion: RR 3.22, 95% CI 1.41 to 7.34, I² = 71%, 6321 participants; behavioural therapy: RR 1.77, 95% CI 1.19 to 2.65, I² = 75%, 9215 participants.There was evidence that partial coverage compared to no coverage reported a small positive effect on the use of bupropion (RR 1.15, 95% CI 1.03 to 1.29, I² = 0%, 6765 participants). Interventions directed at healthcare providers increased the use of behavioural therapy (RR 1.69, 95% CI 1.01 to 2.86, I² = 85%, 25820 participants), but not the use of NRT and/or bupropion (RR 0.94, 95% CI 0.76 to 1.18, I² = 6%, 2311 participants).We assessed the quality of the evidence for the main outcome, abstinence from smoking, as moderate. In most studies participants were not blinded to the different study arms and researchers were not blinded to the allocated interventions. Furthermore, there was not always sufficient information on attrition rates. We detected some imprecision but we judged this to be of minor consequence on the outcomes of this study. AUTHORS' CONCLUSIONS Full financial interventions directed at smokers when compared to no financial interventions increase the proportion of smokers who attempt to quit, use smoking cessation treatments, and succeed in quitting. There was no clear and consistent evidence of an effect on smoking cessation from financial incentives directed at healthcare providers. We are only moderately confident in the effect estimate because there was some risk of bias due to a lack of blinding in participants and researchers, and insufficient information on attrition rates.
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Affiliation(s)
- Floor A van den Brand
- Maastricht University (CAPHRI)Department of Family MedicineP.debyeplein 1MaastrichtZuid‐LimburgNetherlands6229 HA
| | - Gera E Nagelhout
- Maastricht University (CAPHRI)Department of Family MedicineP.debyeplein 1MaastrichtZuid‐LimburgNetherlands6229 HA
- IVO Addiction Research InstituteRotterdamNetherlands
- Maastricht University (CAPHRI)Department of Health PromotionMaastrichtNetherlands
| | - Ayalu A Reda
- Brown UniversityDepartment of Biostatistics, School of Public HealthProvidenceRIUSA
- Brown UniversityDepartment of SociologyProvidenceUSA
- Brown UniversityPopulation Studies and Training CentreProvidenceUSA
| | - Bjorn Winkens
- Maastricht UniversityDepartment of Methodology and Statistics, Faculty of Health Medicine and Life Sciences (FHML)Debyeplein 1MaastrichtNetherlands6200 MD
| | - Silvia M A A Evers
- Maastricht University (CAPHRI)Department of Health Services ResearchPO Box 6166200 MDMaastrichtNetherlands6229 ER
| | - Daniel Kotz
- Maastricht University (CAPHRI)Department of Family MedicineP.debyeplein 1MaastrichtZuid‐LimburgNetherlands6229 HA
- Heinrich‐Heine‐UniversityInstitute of General Practice, Addiction Research and Clinical Epidemiology, Medical FacultyDüsseldorfGermany
| | - Onno CP van Schayck
- Maastricht University (CAPHRI)Department of Family MedicineP.debyeplein 1MaastrichtZuid‐LimburgNetherlands6229 HA
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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: 138] [Impact Index Per Article: 19.7] [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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Mosdøl A, Lidal IB, Straumann GH, Vist GE. Targeted mass media interventions promoting healthy behaviours to reduce risk of non-communicable diseases in adult, ethnic minorities. Cochrane Database Syst Rev 2017; 2:CD011683. [PMID: 28211056 PMCID: PMC6464363 DOI: 10.1002/14651858.cd011683.pub2] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Physical activity, a balanced diet, avoidance of tobacco exposure, and limited alcohol consumption may reduce morbidity and mortality from non-communicable diseases (NCDs). Mass media interventions are commonly used to encourage healthier behaviours in population groups. It is unclear whether targeted mass media interventions for ethnic minority groups are more or less effective in changing behaviours than those developed for the general population. OBJECTIVES To determine the effects of mass media interventions targeting adult ethnic minorities with messages about physical activity, dietary patterns, tobacco use or alcohol consumption to reduce the risk of NCDs. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, PsycINFO, CINAHL, ERIC, SweMed+, and ISI Web of Science until August 2016. We also searched for grey literature in OpenGrey, Grey Literature Report, Eldis, and two relevant websites until October 2016. The searches were not restricted by language. SELECTION CRITERIA We searched for individual and cluster-randomised controlled trials, controlled before-and-after studies (CBA) and interrupted time series studies (ITS). Relevant interventions promoted healthier behaviours related to physical activity, dietary patterns, tobacco use or alcohol consumption; were disseminated via mass media channels; and targeted ethnic minority groups. The population of interest comprised adults (≥ 18 years) from ethnic minority groups in the focal countries. Primary outcomes included indicators of behavioural change, self-reported behavioural change and knowledge and attitudes towards change. Secondary outcomes were the use of health promotion services and costs related to the project. DATA COLLECTION AND ANALYSIS Two authors independently reviewed the references to identify studies for inclusion. We extracted data and assessed the risk of bias in all included studies. We did not pool the results due to heterogeneity in comparisons made, outcomes, and study designs. We describe the results narratively and present them in 'Summary of findings' tables. We judged the quality of the evidence using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) methodology. MAIN RESULTS Six studies met the inclusion criteria, including three RCTs, two cluster-RCTs and one ITS. All were conducted in the USA and comprised targeted mass media interventions for people of African descent (four studies), Spanish-language dominant Latino immigrants (one study), and Chinese immigrants (one study). The two latter studies offered the intervention in the participants' first language (Spanish, Cantonese, or Mandarin). Three interventions targeted towards women only, one pregnant women specifically. We judged all studies as being at unclear risk of bias in at least one domain and three studies as being at high risk of bias in at least one domain.We categorised the findings into three comparisons. The first comparison examined mass media interventions targeted at ethnic minorities versus an equivalent mass media intervention intended for the general population. The one study in this category (255 participants of African decent) found little or no difference in effect on self-reported behavioural change for smoking and only small differences in attitudes to change between participants who were given a culturally specific smoking cessation booklet versus a booklet intended for the general population. We are uncertain about the effect estimates, as assessed by the GRADE methodology (very low quality evidence of effect). No study provided data for indicators of behavioural change or adverse effects.The second comparison assessed targeted mass media interventions versus no intervention. One study (154 participants of African decent) reported effects for our primary outcomes. Participants in the intervention group had access to 12 one-hour live programmes on cable TV and received print material over three months regarding nutrition and physical activity to improve health and weight control. Change in body mass index (BMI) was comparable between groups 12 months after the baseline (low quality evidence). Scores on a food habits (fat behaviours) and total leisure activity scores changed favourably for the intervention group (very low quality evidence). Two other studies exposed entire populations in geographical areas to radio advertisements targeted towards African American communities. Authors presented effects on two of our secondary outcomes, use of health promotion services and project costs. The campaign message was to call smoking quit lines. The outcome was the number of calls received. After one year, one study reported 18 calls per estimated 10,000 targeted smokers from the intervention communities (estimated target population 310,500 persons), compared to 0.2 calls per estimated 10,000 targeted smokers from the control communities (estimated target population 331,400 persons) (moderate quality evidence). The ITS study also reported an increase in the number of calls from the target population during campaigns (low quality evidence). The proportion of African American callers increased in both studies (low to very low quality evidence). No study provided data on knowledge and attitudes for change and adverse effects. Information on costs were sparse.The third comparison assessed targeted mass media interventions versus a mass media intervention plus personalised content. Findings are based on three studies (1361 participants). Participants in these comparison groups received personal feedback. Two of the studies recorded weight changes over time. Neither found significant differences between the groups (low quality evidence). Evidence on behavioural changes, and knowledge and attitudes typically found some effects in favour of receiving personalised content or no significant differences between groups (very low quality evidence). No study provided data on adverse effects. Information on costs were sparse. AUTHORS' CONCLUSIONS The available evidence is inadequate for understanding whether mass media interventions targeted toward ethnic minority populations are more effective in changing health behaviours than mass media interventions intended for the population at large. When compared to no intervention, a targeted mass media intervention may increase the number of calls to smoking quit line, but the effect on health behaviours is unclear. These studies could not distinguish the impact of different components, for instance the effect of hearing a message regarding behavioural change, the cultural adaptation to the ethnic minority group, or increase reach to the target group through more appropriate mass media channels. New studies should explore targeted interventions for ethnic minorities with a first language other than the dominant language in their resident country, as well as directly compare targeted versus general population mass media interventions.
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Affiliation(s)
- Annhild Mosdøl
- Norwegian Institute of Public HealthKnowledge Centre for the Health ServicesPO BOX 4404 NydalenOsloNorway
| | - Ingeborg B Lidal
- Norwegian Institute of Public HealthKnowledge Centre for the Health ServicesPO BOX 4404 NydalenOsloNorway
- Sunnaas Rehabilitation HospitalTRS National Resource Centre for Rare DisordersNesoddtangenNorway1450
| | - Gyri H Straumann
- Norwegian Institute of Public HealthKnowledge Centre for the Health ServicesPO BOX 4404 NydalenOsloNorway
| | - Gunn E Vist
- Norwegian Knowledge Centre for the Health ServicesPrevention, Health Promotion and Organisation UnitPO Box 7004St Olavs PlassOsloNorway0130
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