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Granda-Cameron C, Kates J, Wen KY. mHealth Interventions to Improve the Breast Cancer Continuum of Care from Prevention to Survivorship of Hispanic Women: A Scoping Review. J Racial Ethn Health Disparities 2024; 11:1869-1887. [PMID: 37365425 DOI: 10.1007/s40615-023-01658-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 05/19/2023] [Accepted: 05/24/2023] [Indexed: 06/28/2023]
Abstract
BACKGROUND Breast cancer is the leading cause of cancer mortality in Hispanic women in the USA. Current interventions to improve breast cancer care include the use of mHealth, but its application in Hispanic women is limited. This scoping review aimed to describe the extent of research literature on the use of mHealth throughout the breast cancer care continuum (prevention, early detection, and treatment) in Hispanic women. METHODS A scoping review guided by the Arksey and O'Malley methodological framework and the Joanna Briggs Institute scoping review reporting protocol. Literature search of peer-reviewed research articles from 2012 to 2022 in PubMed, Scopus, and CINAHL® was conducted in March and June 2022. RESULTS Of the 10 articles selected, seven included Hispanic breast cancer survivors and three included Hispanic women at risk for developing breast cancer. Seven articles involved mobile applications and three articles used text messaging and/or cell phone voicemail. Overall, the use of mHealth for breast cancer care in Hispanics was favorable but generalizability was limited given the type of design and small samples. All interventions were tailored to Hispanic culture. CONCLUSION Scarcity of research on mHealth in Hispanic breast cancer care highlights healthcare disparities in this population. Evidence from this review suggests the use of mHealth to be beneficial to improving breast cancer care in Hispanics, but more research is needed involving randomized clinical trials and larger samples.
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Affiliation(s)
- Clara Granda-Cameron
- Thomas Jefferson University College of Nursing, 901 Walnut Street, Suite 703, Philadelphia, PA, 19107, USA.
| | - Jeannette Kates
- Thomas Jefferson University College of Nursing, 901 Walnut Street, Suite 703, Philadelphia, PA, 19107, USA
| | - Kuang-Yi Wen
- Medical Oncology Department, Population Science Division, 834 Chestnut Street, Suite 300, Franklin Building, Philadelphia, PA, 19107, USA
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Isautier JMJ, Wang S, Houssami N, McCaffery K, Brennan ME, Li T, Nickel B. The impact of breast density notification on psychosocial outcomes in racial and ethnic minorities: A systematic review. Breast 2024; 74:103693. [PMID: 38430905 PMCID: PMC10918326 DOI: 10.1016/j.breast.2024.103693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 02/11/2024] [Accepted: 02/13/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND High breast density is an independent risk factor for breast cancer and decreases the sensitivity of mammography. This systematic review synthesizes the evidence on the impact of breast density (BD) information and/or notification on women's psychosocial outcomes among women from racial and ethnic minority groups. METHODS A systematic search was performed in March 2023, and the articles were identified using CINHAL, Embase, Medline, and PsychInfo databases. The search strategy combined the terms "breast", "density", "notification" and synonyms. The authors specifically kept the search terms broad and did not include terms related to race and ethnicity. Full-text articles were reviewed for analysis by race, ethnicity and primary language of participants. Two authors evaluated the eligibility of studies with verification from the study team, extracted and crosschecked data, and assessed the risk of bias. RESULTS Of 1784 articles, 32 articles published from 2003 to 2023 were included. Thirty-one studies were conducted in the United States and one in Australia, with 28 quantitative and four qualitative methodologies. The overall results in terms of breast density awareness, knowledge, communication with healthcare professionals, screening intentions and supplemental screening practice were heterogenous across studies. Barriers to understanding BD notifications and intentions/access to supplemental screening among racial and ethnic minorities included socioeconomic factors, language, health literacy and medical mistrust. CONCLUSIONS A one-size approach to inform women about their BD may further disadvantage racial and ethnic minority women. BD notification and accompanying information should be tailored and translated to ensure readability and understandability by all women.
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Affiliation(s)
- J M J Isautier
- The University of Sydney, Sydney Health Literacy Lab, School of Public Health, Faculty of Medicine and Health, New South Wales Australia; Wiser Healthcare, School of Public Health, The University of Sydney, New South Wales, Australia
| | - S Wang
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - N Houssami
- Wiser Healthcare, School of Public Health, The University of Sydney, New South Wales, Australia; The Daffodil Centre, The University of Sydney, a Joint Venture with Cancer Council NSW, Sydney, New South Wales, Australia
| | - K McCaffery
- The University of Sydney, Sydney Health Literacy Lab, School of Public Health, Faculty of Medicine and Health, New South Wales Australia; Wiser Healthcare, School of Public Health, The University of Sydney, New South Wales, Australia
| | - M E Brennan
- Westmead Breast Cancer Institute, Westmead Hospital, Sydney, Sydney, Australia; National School of Medicine, University of Notre Dame Australia, Sydney, Australia
| | - T Li
- The Daffodil Centre, The University of Sydney, a Joint Venture with Cancer Council NSW, Sydney, New South Wales, Australia
| | - B Nickel
- The University of Sydney, Sydney Health Literacy Lab, School of Public Health, Faculty of Medicine and Health, New South Wales Australia; Wiser Healthcare, School of Public Health, The University of Sydney, New South Wales, Australia.
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3
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Baumeister A, Aldin A, Chakraverty D, Hübner C, Adams A, Monsef I, Skoetz N, Kalbe E, Woopen C. Interventions for improving health literacy in migrants. Cochrane Database Syst Rev 2023; 11:CD013303. [PMID: 37963101 PMCID: PMC10645402 DOI: 10.1002/14651858.cd013303.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
BACKGROUND Health literacy (HL) is a determinant of health and important for autonomous decision-making. Migrants are at high risk for limited HL. Improving HL is important for equitable promotion of migrants' health. OBJECTIVES To assess the effectiveness of interventions for improving HL in migrants. To assess whether female or male migrants respond differently to the identified interventions. SEARCH METHODS We ran electronic searches to 2 February 2022 in CENTRAL, MEDLINE, Embase, PsycInfo and CINAHL. We also searched trial registries. We used a study filter for randomised controlled trials (RCTs) (RCT classifier). SELECTION CRITERIA We included RCTs and cluster-RCTs addressing HL either as a concept or its components (access, understand, appraise, apply health information). DATA COLLECTION AND ANALYSIS We used the methodological procedures recommended by Cochrane and followed the PRISMA-E guidelines. Outcome categories were: a) HL, b) quality of life (QoL), c) knowledge, d) health outcomes, e) health behaviour, f) self-efficacy, g) health service use and h) adverse events. We conducted meta-analysis where possible, and reported the remaining results as a narrative synthesis. MAIN RESULTS We included 28 RCTs and six cluster-RCTs (8249 participants), all conducted in high-income countries. Participants were migrants with a wide range of conditions. All interventions were adapted to culture, language and literacy. We did not find evidence that HL interventions cause harm, but only two studies assessed adverse events (e.g. anxiety). Many studies reported results for short-term assessments (less than six weeks after total programme completion), reported here. For several comparisons, there were also findings at later time points, which are presented in the review text. Compared with no HL intervention (standard care/no intervention) or an unrelated HL intervention (similar intervention but different information topic) Self-management programmes (SMP) probably improve self-efficacy slightly (standardised mean difference (SMD) 0.28, 95% confidence interval (CI) 0.06 to 0.50; 2 studies, 333 participants; moderate certainty). SMP may improve HIV-related HL (understanding (mean difference (MD) 4.25, 95% CI 1.32 to 7.18); recognition of HIV terms (MD 3.32, 95% CI 1.28 to 5.36)) (1 study, 69 participants). SMP may slightly improve health behaviours (3 studies, 514 participants), but may have little or no effect on knowledge (2 studies, 321 participants) or subjective health status (MD 0.38, 95% CI -0.13 to 0.89; 1 study, 69 participants) (low certainty). We are uncertain of the effects of SMP on QoL, health service use or adverse events due to a lack of evidence. HL skills building courses (HLSBC) may improve knowledge (MD 10.87, 95% CI 5.69 to 16.06; 2 studies, 111 participants) and any generic HL (SMD 0.48, 95% CI 0.20 to 0.75; 2 studies, 229 participants), but may have little or no effect on depression literacy (MD 0.17, 95% CI -1.28 to 1.62) or any health behaviour (2 studies, 229 participants) (low certainty). We are uncertain if HLSBC improve QoL, health outcomes, health service use, self-efficacy or adverse events, due to very low-certainty or a lack of evidence. Audio-/visual education without personal feedback (AVE) probably improves depression literacy (MD 8.62, 95% CI 7.51 to 9.73; 1 study, 202 participants) and health service use (MD -0.59, 95% CI -1.11 to -0.07; 1 study, 157 participants), but probably has little or no effect on health behaviour (risk ratio (RR) 1.07, 95% CI 0.91 to 1.25; 1 study, 135 participants) (moderate certainty). AVE may improve self-efficacy (MD 3.51, 95% CI 2.53 to 4.49; 1 study, 133 participants) and may slightly improve knowledge (MD 8.44, 95% CI -2.56 to 19.44; 2 studies, 293 participants) and intention to seek depression treatment (MD 1.8, 95% CI 0.43 to 3.17), with little or no effect on depression (SMD -0.15, 95% CI -0.40 to 0.10) (low certainty). No evidence was found for QoL and adverse events. Adapted medical instruction may improve understanding of health information (3 studies, 478 participants), with little or no effect on medication adherence (MD 0.5, 95% CI -0.1 to 1.1; 1 study, 200 participants) (low certainty). No evidence was found for QoL, health outcomes, knowledge, health service use, self-efficacy or adverse events. Compared with written information on the same topic SMP probably improves health numeracy slightly (MD 0.7, 95% CI 0.15 to 1.25) and probably improves print literacy (MD 9, 95% CI 2.9 to 15.1; 1 study, 209 participants) and self-efficacy (SMD 0.47, 95% CI 0.3 to 0.64; 4 studies, 552 participants) (moderate certainty). SMP may improve any disease-specific HL (SMD 0.67, 95% CI 0.27 to 1.07; 4 studies, 955 participants), knowledge (MD 11.45, 95% CI 4.75 to 18.15; 6 studies, 1101 participants) and some health behaviours (4 studies, 797 participants), with little or no effect on health information appraisal (MD 1.15, 95% CI -0.23 to 2.53; 1 study, 329 participants) (low certainty). We are uncertain whether SMP improves QoL, health outcomes, health service use or adverse events, due to a lack of evidence or low/very low-certainty evidence. AVE probably has little or no effect on diabetes HL (MD 2, 95% CI -0.15 to 4.15; 1 study, 240 participants), but probably improves information appraisal (MD -9.88, 95% CI -12.87 to -6.89) and application (RR 1.51, 95% CI 1.29 to 1.77) (1 study, 608 participants; moderate certainty). AVE may slightly improve knowledge (MD 8.35, 95% CI -0.32 to 17.02; low certainty). No short-term evidence was found for QoL, depression, health behaviour, self-efficacy, health service use or adverse events. AVE compared with another AVE We are uncertain whether narrative videos are superior to factual knowledge videos as the evidence is of very low certainty. Gender differences Female migrants' diabetes HL may improve slightly more than that of males, when receiving AVE (MD 5.00, 95% CI 0.62 to 9.38; 1 study, 118 participants), but we do not know whether female or male migrants benefit differently from other interventions due to very low-certainty or a lack of evidence. AUTHORS' CONCLUSIONS Adequately powered studies measuring long-term effects (more than six months) of HL interventions in female and male migrants are needed, using well-validated tools and representing various healthcare systems.
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Affiliation(s)
- Annika Baumeister
- Center for Life Ethics/Hertz Chair TRA 4, University of Bonn, Bonn, Germany
| | - Angela Aldin
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Digo Chakraverty
- Medical Psychology, Neuropsychology and Gender Studies and Center for Neuropsychological Diagnostics and Intervention (CeNDI), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Constanze Hübner
- Center for Life Ethics/Hertz Chair TRA 4, University of Bonn, Bonn, Germany
| | - Anne Adams
- Institute of Medical Statistics and Computational Biology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Ina Monsef
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Nicole Skoetz
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Elke Kalbe
- Medical Psychology, Neuropsychology and Gender Studies and Center for Neuropsychological Diagnostics and Intervention (CeNDI), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Christiane Woopen
- Center for Life Ethics/Hertz Chair TRA 4, University of Bonn, Bonn, Germany
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Karran EL, Grant AR, Lee H, Kamper SJ, Williams CM, Wiles LK, Shala R, Poddar CV, Astill T, Moseley GL. Do health education initiatives assist socioeconomically disadvantaged populations? A systematic review and meta-analyses. BMC Public Health 2023; 23:453. [PMID: 36890466 PMCID: PMC9996883 DOI: 10.1186/s12889-023-15329-z] [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: 10/27/2022] [Accepted: 02/27/2023] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND Health education interventions are considered critical for the prevention and management of conditions of public health concern. Although the burden of these conditions is often greatest in socio-economically disadvantaged populations, the effectiveness of interventions that target these groups is unknown. We aimed to identify and synthesize evidence of the effectiveness of health-related educational interventions in adult disadvantaged populations. METHODS We pre-registered the study on Open Science Framework https://osf.io/ek5yg/ . We searched Medline, Embase, Emcare, and the Cochrane Register from inception to 5/04/2022 to identify studies evaluating the effectiveness of health-related educational interventions delivered to adults in socio-economically disadvantaged populations. Our primary outcome was health related behaviour and our secondary outcome was a relevant biomarker. Two reviewers screened studies, extracted data and evaluated risk of bias. Our synthesis strategy involved random-effects meta-analyses and vote-counting. RESULTS We identified 8618 unique records, 96 met our criteria for inclusion - involving more than 57,000 participants from 22 countries. All studies had high or unclear risk of bias. For our primary outcome of behaviour, meta-analyses found a standardised mean effect of education on physical activity of 0.05 (95% confidence interval (CI) = -0.09-0.19), (5 studies, n = 1330) and on cancer screening of 0.29 (95% CI = 0.05-0.52), (5 studies, n = 2388). Considerable statistical heterogeneity was present. Sixty-seven of 81 studies with behavioural outcomes had point estimates favouring the intervention (83% (95% CI = 73%-90%), p < 0.001); 21 of 28 studies with biomarker outcomes showed benefit (75% (95%CI = 56%-88%), p = 0.002). When effectiveness was determined based on conclusions in the included studies, 47% of interventions were effective on behavioural outcomes, and 27% on biomarkers. CONCLUSIONS Evidence does not demonstrate consistent, positive impacts of educational interventions on health behaviours or biomarkers in socio-economically disadvantaged populations. Continued investment in targeted approaches, coinciding with development of greater understanding of factors determining successful implementation and evaluation, are important to reduce inequalities in health.
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Affiliation(s)
- E L Karran
- IIMPACT in Health, University of South Australia, GPO Box 2471, Adelaide, South Australia, 5001, Australia.
| | - A R Grant
- IIMPACT in Health, University of South Australia, GPO Box 2471, Adelaide, South Australia, 5001, Australia
| | - H Lee
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal, Sciences, University of Oxford, Oxford, UK.,School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
| | - S J Kamper
- School of Health Sciences, University of Sydney, Sydney, NSW, Australia.,Nepean Blue Mountains Local Health District, Penrith, NSW, Australia
| | - C M Williams
- University of Newcastle, Sydney, NSW, Australia.,Population Health, Hunter New England Local Health District, New Lambton, NSW, Australia
| | - L K Wiles
- IIMPACT in Health, University of South Australia, GPO Box 2471, Adelaide, South Australia, 5001, Australia.,Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia.,South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
| | - R Shala
- IIMPACT in Health, University of South Australia, GPO Box 2471, Adelaide, South Australia, 5001, Australia.,Department of Physiotherapy, Faculty of Medicine, University of Prishtina, Prishtina, Kosovo
| | - C V Poddar
- Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India
| | - T Astill
- Western Sydney University, Sydney, NSW, Australia
| | - G L Moseley
- IIMPACT in Health, University of South Australia, GPO Box 2471, Adelaide, South Australia, 5001, Australia
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5
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Lee Argov EJ, Rodriguez CB, Agovino M, Wei Y, Shelton RC, Kukafka R, Schmitt KM, Desperito E, Terry MB, Tehranifar P. Breast cancer worry, uncertainty, and perceived risk following breast density notification in a longitudinal mammography screening cohort. Breast Cancer Res 2022; 24:95. [PMID: 36544225 PMCID: PMC9773500 DOI: 10.1186/s13058-022-01584-2] [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: 03/16/2022] [Accepted: 11/27/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Dense breast notification (DBN) legislation aims to increase a woman's awareness of her personal breast density and the implications of having dense breasts for breast cancer detection and risk. This information may adversely affect women's breast cancer worry, perceptions of risk, and uncertainty about screening, which may persist over time or vary by sociodemographic factors. We examined short- and long-term psychological responses to DBN and awareness of breast density (BD). METHODS In a predominantly Hispanic New York City screening cohort (63% Spanish-speaking), ages 40-60 years, we assessed breast cancer worry, perceived breast cancer risk, and uncertainties about breast cancer risk and screening choices, in short (1-3 months)- and long-term (9-18 months) surveys following the enrollment screening mammogram (between 2016 and 2018). We compared psychological responses by women's dense breast status (as a proxy for DBN receipt) and BD awareness and examined multiplicative interaction by education, health literacy, nativity, and preferred interview language. RESULTS In multivariable models using short-term surveys, BD awareness was associated with increased perceived risk (odds ratio (OR) 2.27, 95% confidence interval (CI) 0.99, 5.20 for high, OR 2.19, 95% CI 1.34, 3.58 for moderate, vs. low risk) in the overall sample, and with increased uncertainty about risk (OR 1.97 per 1-unit increase, 95% CI 1.15, 3.39) and uncertainty about screening choices (OR 1.73 per 1-unit increase, 95% CI 1.01, 2.9) in Spanish-speaking women. DBN was associated with decreased perceived risk among women with at least some college education (OR 0.32, 95% CI 0.11, 0.89, for high, OR 0.50, 95% CI 0.29, 0.89, for moderate vs. low risk), while those with a high school education or less experienced an increase (OR 3.01, 95% CI 1.05, 8.67 high vs. low risk). There were no associations observed between DBN or BD awareness and short-term breast cancer worry, nor with any psychological outcomes at long-term surveys. CONCLUSIONS Associations of BD awareness and notification with breast cancer-related psychological outcomes were limited to short-term increases in perceived breast cancer risk dependent on educational attainment, and increases in uncertainty around breast cancer risk and screening choices among Spanish-speaking women.
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Affiliation(s)
- Erica J. Lee Argov
- grid.21729.3f0000000419368729Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA
| | - Carmen B. Rodriguez
- grid.21729.3f0000000419368729Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA
| | - Mariangela Agovino
- grid.21729.3f0000000419368729Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA
| | - Ying Wei
- grid.21729.3f0000000419368729Department of Biostatistics, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA
| | - Rachel C. Shelton
- grid.21729.3f0000000419368729Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA ,grid.239585.00000 0001 2285 2675Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 161 Fort Washington Ave., New York, NY USA
| | - Rita Kukafka
- grid.21729.3f0000000419368729Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA ,grid.239585.00000 0001 2285 2675Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 161 Fort Washington Ave., New York, NY USA ,grid.21729.3f0000000419368729Department of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY USA
| | - Karen M. Schmitt
- grid.239585.00000 0001 2285 2675Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 161 Fort Washington Ave., New York, NY USA ,grid.21729.3f0000000419368729Division of Academics, Columbia University School of Nursing, New York, NY USA
| | - Elise Desperito
- grid.239585.00000 0001 2285 2675Department of Radiology, Columbia University Irving Medical Center, New York, NY USA
| | - Mary Beth Terry
- grid.21729.3f0000000419368729Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA ,grid.239585.00000 0001 2285 2675Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 161 Fort Washington Ave., New York, NY USA
| | - Parisa Tehranifar
- grid.21729.3f0000000419368729Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA ,grid.239585.00000 0001 2285 2675Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 161 Fort Washington Ave., New York, NY USA
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