Cited by 87Behavioral Health and InterventionsWomen's cancer prevention and managementGlobal Cancer Incidence and Screening

The health belief model and theory of planned behavior applied to mammography screening: A systematic review and meta‐analysis

Open access
Ritchie, David, Van den Broucke, Stephan, Van Hal, Guido·2021·Public Health Nursing

Abstract

Background: The Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) are used to explain screening behavior. Although reviews of each model have been conducted independently, none have compared the application of both to mammography screening. Methods: A systematic review of literature published in five databases from 1974 to 2020 was performed. Meta‐analysis of the explanatory value of the HBM and TPB and effect sizes of their cognitive variables was conducted. Results: Altogether, 673 papers reporting HBM studies and 577 reporting TPB studies were recovered, of which 43 HBM studies and 15 TPB studies met the eligibility criteria. Twelve studies reported on the explanatory value of either model. The explained variance for HBM ranged from 25% to 89% (mean R2 = .55), while the explained variance for TPB ranged from 16% to 81% (mean R2 = .24 [screening behavior as outcome] and 0.46 [intention as outcome]). The component of “cue to action” had the greatest effect size (mean OR 1.80 [95% CI: 1.58–2.04]). Conclusions: While the HBM and TPB both demonstrated positive explanatory value, most studies examined the individual constructs of each model and failed to report consistently on the effectiveness of the models.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/phn.12842

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Motivation is positively associated with screening attendance.

    “Motivation has been positively associated with screening attendance [9,14,17,18].”

    From Improving cancer screening uptake: A behavioural and cultural insights perspective and rapid review (2026) · cites this paper as [14]

    The review and meta-analysis (p. 11) reports that health motivation was negatively, not positively, associated with mammography screening behavior (OR 0.94; 95% CI 0.89–1.00). It separately reports a positive association for intention, which is a different construct. (LLM, conf=0.88)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • In systematic reviews, perceived control in personal health choices and high self-efficacy to attend screening are positively associated with screening.

    “In systematic reviews, perceived control in personal health choices and high self-efficacy to attend screening have been positively associated with screening [7,10,11,14].”

    From Improving cancer screening uptake: A behavioural and cultural insights perspective and rapid review (2026) · cites this paper as [14]

    The meta-analysis reports perceived behavioral control as negatively, not positively, associated with mammography screening behavior (p. 11; OR 0.99, 95% CI 0.96–1.02). The Background (p. 4) defines self-efficacy as confidence to act but does not report that high self-efficacy is positively associated with screening. (LLM, conf=0.86)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • Positive attitudes towards cancer screening are associated with increased BC and CC screening.

    “In systematic reviews comparing different health behaviour theory constructs, positive attitudes towards cancer screening have been associated with increased BC and CC screening [11,14].”

    From Improving cancer screening uptake: A behavioural and cultural insights perspective and rapid review (2026) · cites this paper as [14]

    The HBM & TPB: Review & Meta-analysis section (p. 11) reports the opposite direction for breast-cancer mammography screening: attitudes had a mean odds ratio of 0.98 and were described as negatively associated with screening behavior. The paper addresses mammography screening, not cervical-cancer screening, so it does not establish the cervical-cancer part of the claim. (LLM, conf=0.88)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • The odds of getting screened for BC were OR 1.72 compared to those with no intention.

    “The odds of getting screened for CC were OR 1.8 [11] and OR 1.72 for BC [14] compared to those with no intention.”

    From Improving cancer screening uptake: A behavioural and cultural insights perspective and rapid review (2026) · cites this paper as [14]

    The meta-analysis (p. 11) reports a mean OR of 1.72 for the association between intention and mammography screening behavior. It does not specify that the comparison group was people with no intention to screen, so that part of the claim is not established by our copy. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Perceived benefits such as reassurance of not having cancer or detecting cancer at a treatable stage are positively related to cancer screening.

    “Perceived benefits such as reassurance of not having cancer or detecting cancer at a treatable stage have been positively related to cancer screening [8,11,14,17,20].”

    From Improving cancer screening uptake: A behavioural and cultural insights perspective and rapid review (2026) · cites this paper as [14]

    The Explanatory Value of the Models section (p. 10) reports a positive association between perceived benefits and mammography screening (mean OR 1.42, 95% CI 1.34–1.51). The Background (p. 3) describes detection at a more treatable stage, but our copy does not identify reassurance of not having cancer as a perceived benefit associated with screening. The review is also specific to mammography rather than cancer screening generally. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 29

  1. Anagnostopoulos, F., Dimitrakaki, C., Fitzsimmons, D., Potamianos, G., Niakas, D., & Tountas, Y. (2012). Health beliefs and illness perceptions as related to mammography uptake in randomly selected women in Greece. Journal of Clinical Psychology in Medical Settings , 19 (2), 147 -164. https://doi.org/10.1007/s10880-011-9272-1 · DOI
  2. Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A metaanalytic review. British Journal of Social Psychology , 40 (4), 471 -499. https://doi.org/10.1348/014466601164939 · DOI · Paper page
  3. Basu, P., Ponti, A., Anttila, A., Ronco, G., Senore, C., Vale, D. B., Segnan, N., Tomatis, M., Soerjomataram, I., Primic Žakelj, M., Dillner, J., Elfström, K. M., Lönnberg, S., & Sankaranarayanan, R. (2018). Status of implementation and organization of cancer screening in The European Union Member States -Summary results from the second European screening report. International Journal of Cancer , 142 (1), 44 -56. https://doi.org/10.1002/ijc.31043 · DOI
  4. Bk, R., Glanz, K., & DHHS, National Cancer Institute. (2005). Theory at a Glance A guide For Health Promotion Practice (Second Edition). In Health (San Francisco) . https://www.semanticscholar.org/paper/Theory-at-a-glance%3A-a-guide-for-healthpromotion-Bk-Glanz/c4d485663a17e944c0f029ff74056478c6d73cdc
  5. Bowie, J. V., Curbow, B., LaVeist, T. A., Fitzgerald, S., & Zabora, J. (2003). The theory of planned behavior and intention to repeat mammography among African-American women. In Journal of Psychosocial Oncology (Vol. 21, Issue 4). https://doi.org/10.1300/J077v21n04\_02 · DOI
  6. Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians , 68 (6), 394 -424. https://doi.org/10.3322/caac.21492 · DOI · Paper page
  7. Champion, V., Foster, J. L., & Menon, U. (1997). Tailoring intervention for health behavior change in breast cancer screening. Cancer Practice , 5 (5), 283 -288. https://europepmc.org/article/med/9341350
  8. Conner, M. (2001). Health Behaviors. In International Encyclopedia of the Social & Behavioral Sciences (pp. 6506 -6512). Elsevier. https://doi.org/10.1016/b0-08-0430767/03871-7 · DOI
  9. Cooke, R., & French, D. P. (2008). How well do the theory of reasoned action and theory of planned behaviour predict intentions and attendance at screening programmes? A metaanalysis. Psychology and Health , 23 (7), 745 -765. https://doi.org/10.1080/08870440701544437 · DOI
  10. Drossaert, C. H. C., Boer, H., & Seydel, E. R. (2003). Prospective study on the determinants of repeat attendance and attendance patterns in breast cancer screening using the theory of planned behaviour. Psychology and Health , 18 (5), 551 -565. https://doi.org/10.1080/0887044031000141207 · DOI
  11. Glanz, K., Rimer, B. K., & Viswanath, K. (Eds. . (2008). Health behavior and health education: Theory, research, and practice, 4th ed. - PsycNET . https://psycnet.apa.org/record/2008-17146-000
  12. Gøtzsche, P. C., & Jørgensen, K. J. (2013). Screening for breast cancer with mammography. Cochrane Database of Systematic Reviews , 2013 (6). https://doi.org/10.1002/14651858.CD001877.pub5 · DOI
  13. Griva, F., Anagnostopoulos, F., Gourounti, K., Kolokotroni, P., & Koutrouli, N. (2013). Mammography Screening within the Context of the Theory of Planned Behavior: The Role of Personality Traits and Personal Factors. In International Journal of Psychological Studies (Vol. 5, Issue 3). https://doi.org/10.5539/ijps.v5n3p98 · DOI
  14. Griva, F., Anagnostopoulos, F., & Madoglou, S. (2009). Mammography screening and the theory of planned behavior: Suggestions toward an extended model of prediction. Women and Health , 49 (8), 662 -681. https://doi.org/10.1080/03630240903496010 · DOI
  15. Herzog, R., Álvarez-Pasquin, M. J., Díaz, C., Del Barrio, J. L., Estrada, J. M., & Gil, Á. (2013). Are healthcare workers intentions to vaccinate related to their knowledge, beliefs and attitudes? A systematic review. BMC Public Health , 13 (1), 154. https://doi.org/10.1186/1471-2458-13-154 · DOI · Paper page
  16. Higgins JPT, G. S. (editors). (2019). Cochrane Handbook for Systematic Reviews of Interventions . Cochrane Handbook for Systematic Reviews of Interventions. https://doi.org/10.1002/9781119536604 · DOI · Paper page
  17. Kampen, J. K., & Tamás, P. (2014). Should I take this seriously? A simple checklist for calling bullshit on policy supporting research. In Quality and Quantity (Vol. 48, Issue 3). https://doi.org/10.1007/s11135-013-9830-8 · DOI
  18. Krizan, Z. (2010). Synthesizer 1.0: A varying-coefficient meta-analytic tool. In Behavior Research Methods (Vol. 42, Issue 3). https://doi.org/10.3758/BRM.42.3.863 · DOI
  19. Lagerlund, M., Hedin, A., Sparén, P., Thurfjell, E., & Lambe, M. (2000). Attitudes, beliefs, and knowledge as predictors of nonattendance in a Swedish population-based mammography screening program. Preventive Medicine , 31 (4), 417 -428. https://doi.org/10.1006/pmed.2000.0723 · DOI
  20. Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Altman, D., Antes, G., Atkins, D., Barbour, V., Barrowman, N., Berlin, J. A., Clark, J., Clarke, M., Cook, D., D'Amico, R., Deeks, J. J., Dev ereaux, P. J., Dickersin, K., Egger, M., Ernst, E., … Tugwell, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine , 6 (7), e1000097. https://doi.org/10.1371/journal.pmed.1000097 · DOI · Paper page
  21. Nelson, H. D. (2009). Screening for Breast Cancer: An Update for the U.S. Preventive Services Task Force. Annals of Internal Medicine , 151 (10), 727. https://doi.org/10.7326/0003-4819-151-10-200911170-00009 · DOI
  22. Nyambe, A., Van Hal, G., & Kampen, J. K. (2016). Screening and vaccination as determined by the Social Ecological Model and the Theory of Triadic Influence: a systematic review. BMC Public Health , 16 (1), 1 -15. https://doi.org/10.1186/s12889-016-3802-6 · DOI
  23. Pakenham, K. I., Pruss, M., & Clutton, S. (2000). The utility of socio-demographics, knowledge and health belief model variables in predicting reattendance for mammography screening: A brief report. In Psychology and Health (Vol. 15, Issue 5). https://doi.org/10.1080/08870440008405472 · DOI
  24. Pasick, R. J., & Burke, N. J. (2008). A critical review of theory in breast cancer screening promotion across cultures. Annual Review of Public Health , 29 , 351 -368. https://doi.org/10.1146/annurev.publhealth.29.020907.143420 · DOI
  25. Russell, K. M., Perkins, S. M., Zollinger, T. W., & Champion, V. L. (2006). Sociocultural context of mammography screening use. Oncology Nursing Forum , 33 (1), 105 -112. https://doi.org/10.1188/06.ONF.105-112 · DOI
  26. Sallis, J. F., Owen, N., & Fisher, E. B. (2008). Ecological models of health behavior. In Health behavior and health education: Theory, research, and practice (Vol. 4).
  27. Sarkeala, T., Heinävaara, S., & Anttila, A. (2008). Organised mammography screening reduces breast cancer mortality: A cohort study from Finland. International Journal of Cancer , 122 (3), 614 -619. https://doi.org/10.1002/ijc.23070 · DOI
  28. Savage, S. A., & Clarke, V. A. (2001). Factors associated with breast and cervical cancer screening behaviours. Health Education , 101 (4), 176 -186. https://doi.org/10.1108/09654280110398761 · DOI
  29. Steele, S. K., & Porche, D. J. (2005). Testing the theory of planned behavior to predict mammography intention. Nursing Research , 54 (5), 332 -338. https://doi.org/10.1097/00006199-200509000-00007 · DOI

Cited by

Sorted by citations

Authors
Ritchie, D., Van den Broucke, S., & Van Hal, G.
Affiliations
  • University of Antwerp (BE)
  • Faculty of Psychology and Educational Sciences and the Psychological Sciences Research Institute Université Catholique de Louvain Louvain‐la‐Neuve Belgium
  • Department of Epidemiology and Social Medicine University of Antwerp Antwerp Belgium
Corresponding author
Ritchie, David
Venue
Public Health Nursing
Publisher
Wiley
Published
2020-11-30
Volume
38
Issue
3
Pages
482-492
ISSN
  • 0737-1209 (ISSN-L)
  • 1525-1446
OpenAlex
W3107240037
Cited by
87
References
4
Citations by year
2026: 27 · 2025: 22 · 2024: 12 · 2023: 14 · 2022: 10 · 2021: 2
FWCI
1.02
Type
journal article
Language
en
Open access
Locations
  • Public Health Nursing (publishedVersion)
  • PubMed (publishedVersion)
  • DIAL (Catholic University of Leuven) (submittedVersion, other-oa)
Topics
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Women's cancer prevention and management
  • Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
Keywords
Health Belief Model, theory of planned behavior, mammography screening, screening behavior, cues to action, explained variance, intention, cognitive factors, health behavior theory
MeSH terms
Health Belief Model, Humans, Mammography, Health Behavior, Intention, Early Detection of Cancer

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review