Systematic reviews as a “lens of evidence”: Determinants of participation in breast cancer screening

Mandrik, Olena; Tolma, Eleni L.; Zielonke, N.; Meheus, Filip; Ordóñez-Reyes, Camila; Severens, Johan L.; Murillo, Raúl

doi:10.1177/0969141320930743

Cited by 22 publications

(22 citation statements)

References 50 publications

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“…A pre‐scheduled appointment is known to increase participation in screening for breast cancer 38 . Similarly, we found that our participants recommended offering a pre‐scheduled appointment, although concern was expressed about the risk of violating the invitees' autonomy.…”

Section: Discussionmentioning

confidence: 63%

“…36,37 A pre-scheduled appointment is known to increase participation in screening for breast cancer. 38 Similarly, we found that our participants recommended offering a pre-scheduled appointment, although concern was expressed about the risk of violating the invitees' autonomy. However, legally, a screening invitation must stress that participation is optional and that whether the invitation is accepted or not is without consequences for the invitees' current treatment.…”

Section: Nudging As a Strategy For Participation In Screeningmentioning

confidence: 79%

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Involving people with type 2 diabetes in facilitating participation in a cardiovascular screening programme

Dahl

Søndergaard

Diederichsen

et al. 2021

Health Expectations

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Background Knowledge is lacking about how to increase uptake among people with type 2 diabetes (T2D) invited to preventive initiatives like cardiovascular screening. Aim To explore how to improve participation of people with T2D in cardiovascular screening using patient and public involvement (PPI). Methods Patient and public involvement was included in a qualitative research design. From April to October 2019, we invited 40‐ to 60‐year‐old people with T2D (n = 17) to individual consultative meetings, using an interviewing approach. Before the interviews, participants were asked to read a proposed invitation letter to be used in a cardiovascular screening programme. Inductive content analysis was undertaken. Results Participants considered cardiovascular screening important and beneficial from both a personal and social perspective. We found that the relational interaction between the person with T2D and the health‐care professional was key to participation and that nudging captured through the design of the screening programme and the wording of the invitation letter was requested. Conclusion In preventive initiatives perceived as meaningful by the invitee, a focus on recruitment is crucial to facilitate participation. This study contributed with knowledge about how to promote participation by involving health‐care professionals in recruitment initiatives and through nudging. This knowledge may assist researchers, policymakers and ethicists' understanding and assessment of the ethical appropriateness and public acceptability of nudging in cardiovascular screening. Patient or public contribution By consulting 17 people with T2D, we are now in a position to suggest how a screening initiative should be altered because tools to improve uptake have been identified.

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Section: Discussionmentioning

confidence: 63%

Section: Nudging As a Strategy For Participation In Screeningmentioning

confidence: 79%

Involving people with type 2 diabetes in facilitating participation in a cardiovascular screening programme

Dahl

Søndergaard

Diederichsen

et al. 2021

Health Expectations

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“…As recommended in a previous study, 20,25 the composite fear score on the CBCFS was computed using three categories (strongly agree/agree, strongly disagree/disagree, and undecided). Next, the fear score was stratified into low (8)(9)(10)(11)(12)(13)(14)(15), moderate (16)(17)(18)(19)(20)(21)(22)(23), or high fear (24-40) categories. 25 Similarly, the perceived selfefficacy for mammography score was stratified into low (10)(11)(12)(13)(14)(15)(16)(17)(18)(19), moderate (20)(21)(22)(23)(24)(25)(26)(27)(28)(29), or high fear (30-50) categories.…”

Section: Discussionmentioning

confidence: 99%

“…Next, the fear score was stratified into low (8)(9)(10)(11)(12)(13)(14)(15), moderate (16)(17)(18)(19)(20)(21)(22)(23), or high fear (24-40) categories. 25 Similarly, the perceived selfefficacy for mammography score was stratified into low (10)(11)(12)(13)(14)(15)(16)(17)(18)(19), moderate (20)(21)(22)(23)(24)(25)(26)(27)(28)(29), or high fear (30-50) categories. To examine associations between fear, perceived self-efficacy, demographic characteristics, and BCS (ie, CBE and mammographic screening), both bivariate and multivariable logistic regression models were used.…”

Section: Discussionmentioning

confidence: 99%

Association of Sociodemographic Factors, Breast Cancer Fear, and Perceived Self-Efficacy With Breast Cancer Screening Behaviors Among Middle-Aged Nigerian Women

Ezema

Igbokwe

Iwuagwu

et al. 2021

Breast Cancer�(Auckl)

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Introduction: Breast cancer (BC) is a major public health problem among women. However, BC screening uptake is abysmally low among Nigerian women. This study evaluated the association of BC fear and perceived self-efficacy with BC screening (clinical breast exam [CBE] and mammography) among middle-aged Nigerian women. Methods: A community-based cross-sectional study was conducted among middle-aged women in Enugu State, southeast Nigeria. The data were collected between September 2019 and February 2020. The BC screening uptake, fear, and self-efficacy were assessed using the validated Breast Cancer Screening Questionnaire (BCSQ), Champion Breast Cancer Fear Scale (CBCFS), and Champion’s Mammography Self-Efficacy Scale (CMSES). Data were analyzed using frequencies and percentages, chi-square test, and univariate analysis of variance. Bivariate and multivariable logistic regression models were used to examine independent associations between selected sociodemographic factors, cancer fear, perceived self-efficacy, and BC screening. Results: The mean age of the participants was 55.3 years (SD: 5.75). More than half of the women (51%) reported having a BC screening in the past 12 months. However, only 12.5% and 16.9% reported having a CBE or mammogram in the past 12 months. The prevalence of a high, moderate, and low level of fear was 68%, 22.3%, and 9.8%, respectively. The prevalence of a high, moderate, and low self-efficacy level was 50.6%, 37.5%, and 12.0%, respectively. The multivariable logistics regression analysis showed that women aged 50-59 years and 60-64 years were 3.5 times (adjusted odds ratio [AOR] = 3.50, 95% confidence interval [CI]: 2.07-5.89, P < .0001), and 5.92 times (AOR = 5.92 95% CI: 2.63-13.35, P < .0001), respectively, more likely to perform mammogram than those aged 40-49 years. Women with a high level of self-efficacy were 2.68 times (AOR = 2.68, 95% CI: 1.15-6.26, P < .0001) more likely to use mammographic screening than those with low self-efficacy. Although not statistically significant, women with a moderate level of BC fear were 0.56 times less likely to use mammogram than women with a low level of BC fear. Conclusion: A low proportion of women underwent CBE or mammography. Women had a high level of BC fear and a moderate level of self-efficacy for BC screening. The findings emphasize the need for health educational and psychosocial interventions that improve self-efficacy and promote regular BC screening among middle-aged women.

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“…Within the broader literature, studies have found that lower uptake of preventive care is associated with lower levels of education, health literacy and household income, as well as a lack of usual source of healthcare provider, health insurance coverage and migrant status ( Carney and O’Neill, 2018 , Sambamoorthi and McAlpine, 2003 , Mandrik et al, 2021 , Norredam et al, 2010 ). Various other factors have also been shown to influence an individual’s use of preventive care.…”

Section: Introductionmentioning

confidence: 99%

Health preferences and preventive care utilisation: How EQ-5D-5L health preferences may affect uptake

Kelleher

Doherty

O’Neill³

2021

Preventive Medicine Reports

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Despite the economic and health benefits of preventive care being well established, the uptake of many cost-effective preventive services remains lower than desired in many cases, especially among specific sub-populations. The value an individual places on health can influence their uptake of preventive care. One way to capture the value an individual places on health and future health status is to examine their health preferences. This study used a novel use of EQ-5D-5L health preferences to determine if health preferences are associated with the uptake of a range of preventive care services, including a cancer screening, blood pressure check, cholesterol check, blood test and urine test. We collected EQ-5D-5L composite time trade-off data in 2018/2019 on 242 respondents residing in Ireland. We estimated an initial tobit model to predict an individual’s health preference to capture health preferences as a regressor. We then estimated a bivariate probit model to examine the uptake of each preventive service and GP use. Each model controlled for health preferences, education, sex, type of health coverage, self-reported health, employment status, age and marital status. Health preferences are a significant determinant of all five preventive services while controlling for other covariates. The results shows that the higher an individual values good health, the more likely they are to avail of preventive care. Health preferences can be noted as a potential determinant of preventive care use that could guide policy responses seeking to increase demand-side factors for preventive care uptake.

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Systematic reviews as a “lens of evidence”: Determinants of participation in breast cancer screening

Cited by 22 publications

References 50 publications

Involving people with type 2 diabetes in facilitating participation in a cardiovascular screening programme

Involving people with type 2 diabetes in facilitating participation in a cardiovascular screening programme

Association of Sociodemographic Factors, Breast Cancer Fear, and Perceived Self-Efficacy With Breast Cancer Screening Behaviors Among Middle-Aged Nigerian Women

Health preferences and preventive care utilisation: How EQ-5D-5L health preferences may affect uptake

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