Factors Influencing Acceptance of Mammography: Implications for Enhancing Worksite Cancer Control

Glanz, Karen; Rimer, Barbara K.; Lerman, Caryn; Gorchov, Patricia Mc Govern

doi:10.4278/0890-1171-7.1.28

Cited by 21 publications

(12 citation statements)

References 49 publications

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“…It addresses the likelihood of taking recommended health action as influenced by specific health beliefs related to the health problem and recommended health actions. These beliefs are the individual’s perceptions of the threat posed by a health problem (susceptibility, severity), the benefits of avoiding the threat, and factors influencing the decision to act (barriers, cues to action, and self-efficacy) 37,38. The core constructs of the model include: (1) perceived susceptibility, ie, one’s subjective perception of the risk of contracting a health condition; (2) perceived severity, ie, feelings concerning the seriousness of contracting an illness or of leaving it untreated; (3) perceived benefits, ie, the believed effectiveness of strategies designed to reduce the threat of illness and risk; (4) perceived barriers, ie, feeling a nuisance as someone who takes particular health actions or results from the actions.…”

Section: Methodsmentioning

confidence: 99%

Predictors of refusal of provider initiated HIV testing among clients visiting adult outpatient departments in Jimma town, Oromia Region, Ethiopia: unmatched case control study

Koricha

Gebretsadik²,

Roro

2012

HIV

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BackgroundCurrently, provider-initiated human immunodeficiency virus (HIV) testing (PIHT) in health facilities is one of the strategies to advance HIV testing and related services. However, many HIV infected clients are missing the opportunities. This study intends to identify predictors of refusal of PIHT among clients visiting adult outpatient departments (OPDs) in Jimma town.MethodsAn unmatched case control study was conducted among 296 clients: 149 cases refusing HIV testing and 147 controls accepting HIV testing. The study recruited clients from OPDs of four public health facilities between March 6 and April 8, 2011 using consecutive sampling. The study instrument was adapted mainly considering health belief model (HBM). Jimma University ethical committee reviewed the study protocol. Data were collected by face-to-face interview and analyzed using SPSS Statistics (IBM Corporation, Somers, NY) software, version 16.0. Data were subjected to factor and reliability analysis. For prediction analysis, the study used logistic regression and odds ratio (OR) with 95% confidence interval (CI). To see the effects among HBM constructs, the study used standardized beta (β) coefficients at P < 0.05.ResultsThe study findings showed adjusted protective effects on refusal of PIHT for residence outside study town [adjusted OR (AOR) (95% CI) = 0.41 (0.22–0.79)] and higher scores of perceived benefit of early testing [AOR (95% CI)] = 0.86 (0.69–0.99)], self efficacy to live with HIV [AOR (95% CI) = 0.79 (0.66–0.93)], nondisclosure agreement [AOR (95% CI) = 0.74 (0.58–0.93)], perceived explicitness of opt-out right during initiation [AOR (95% CI) = 0.74 (0.56–0.98)] and clients’ perceptions of selective initiation of HIV suspected [AOR (95% CI) = 0.54 (0.41–0.73)]. On the other hand, report of recent testing [AOR (95% CI) = 3.82 (1.71–8.55)] and perceived unpreparedness for testing [AOR (95% CI) = 1.86 (1.57–2.21)] aggravated refusal of PIHT. Exposure to cues to testing significantly reduced perceived barriers [β (P) = −0.05 (0.037)].ConclusionClients’ perceived barriers: feeling of unpreparedness for testing strongly aggravated refusal of test. Enhanced self-efficacy to live with HIV and presence of cues to HIV testing would reduce unpreparedness and protect from refusing PIHT.

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Section: Methodsmentioning

confidence: 99%

Predictors of refusal of provider initiated HIV testing among clients visiting adult outpatient departments in Jimma town, Oromia Region, Ethiopia: unmatched case control study

Koricha

Gebretsadik²,

Roro

2012

HIV

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“…20 In a review of the literature, Glanz et al established that the best predictors of presentation for screening were individual factors, such as fear, costs and lack of time; environmental influences, including the role of the mass media; and health-care factors, such as the lack of support by physicians reluctant to refer asymptomatic women and lack of access to screening sites for working women. 21 Murray and MacMillan examined health beliefs, locus of control, emotional control and women's cancer screening behaviour and found that confidence in practising BSE was the most important predictor of attendance. 22 Ross et al found that the primary care physician's referral was an important prerequisite for attendance and that women who attended for screening were those with a great deal of mobility and social support.…”

Section: Health Beliefs and Health Behaviourmentioning

confidence: 99%

Health Beliefs and Perceptions of Women Presenting or Not Presenting for Mammographic Screening in a Rural Health Setting

Speedy

Hase

2000

Australian J Rural Health

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Breast cancer continues to be a major health concern among Australian women. Recently, free mammography screening has been offered as a joint State and Commonwealth initiative to enable early detection. This program has particular significance in rural areas where access to health‐care facilities, particularly those of a specialist nature, is limited. Attendance for screening is critical to the success of this type of program. Several lines of evidence suggest that health beliefs play a major role in compliance with recommended health behaviour. The present study investigated the role of five health beliefs: response efficacy, seriousness, concern, susceptibility and barriers to the likelihood of attending the North Coast Breast Screening Program in northern NSW. A questionnaire that measured these health beliefs was completed by 127 women who attended breast screening and 185 women who knew about the service but had not attended. Compared with those who had not undergone mammography, those presenting for screening were more health conscious, more likely to have had a mammography previously, more aware that mammography reduced the risk of developing severe breast cancer and less concerned about having a mammogram. A number of barriers to having a mammogram were also identified. The present study raises a number of concerns regarding the level of knowledge about breast self‐examination and mammography as important preventive health measures among women in a rural setting.

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“…Interviews conducted with women who regularly participate in breast cancer screening indicated they had adequate knowledge of the risk factors for breast cancer, knew the benefits of early detection, and had trust in the treatment and screening process (25). Knowledge that women ages z50 years were at an increased risk of breast cancer has also been found to be associated with rescreening (6,15,26).…”

Section: Introductionmentioning

confidence: 99%

“…Demographic factors such as younger age, higher education, higher income, and being married have been shown to be associated with returning for a second screen (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19). Whether women live in a rural or urban setting has also been shown to have an influence on screening (20)(21)(22).…”

Section: Introductionmentioning

confidence: 99%

Predisposing Factors Associated with Compliance to Biennial Breast Screening among Centers with and without Nurses

Edwards

Chiarelli

Stewart

et al. 2009

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background: Previous research suggests that predisposing factors such as previous screening experience, participation in preventive health behaviors, and knowledge/beliefs about breast cancer and screening influence a woman's decision to make a timely return for a second screen. Methods: A stratified random sample of compliers and noncompliers to biennial screening were selected from a cohort of 51,242 women ages 50 to 65 years who had their initial screen at the Ontario Breast Screening Program. In total, 1,901 women were telephone-interviewed. The associations between predisposing factors and compliance were estimated separately for centers with and without nurses using logistic regression analyses adjusted for demographics and smoking status. Results: Women screened at nurse centers were less likely to comply if they thought women should stop

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Factors Influencing Acceptance of Mammography: Implications for Enhancing Worksite Cancer Control

Abstract: Six program elements which are central to planning successful worksite mammography programs are discussed: location and facilities; health professional involvement; the range of services; education and referral; employer policies, and plans for follow-up and repeat screening.

Cited by 21 publications

References 49 publications

Predictors of refusal of provider initiated HIV testing among clients visiting adult outpatient departments in Jimma town, Oromia Region, Ethiopia: unmatched case control study

Predictors of refusal of provider initiated HIV testing among clients visiting adult outpatient departments in Jimma town, Oromia Region, Ethiopia: unmatched case control study

Health Beliefs and Perceptions of Women Presenting or Not Presenting for Mammographic Screening in a Rural Health Setting

Predisposing Factors Associated with Compliance to Biennial Breast Screening among Centers with and without Nurses

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