The importance of health literacy on clinical cancer outcomes: a scoping review
Review Article

The importance of health literacy on clinical cancer outcomes: a scoping review

Diana Samoil1#, Jaemin Kim2#, Colleen Fox2, Janet K. Papadakos1,2,3

1Cancer Education, Princess Margaret Hospital Cancer Centre, Toronto, Canada; 2Patient Education, Ontario Health (Cancer Care Ontario), Toronto, Canada; 3Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada

Contributions: (I) Conception and design: JK Papadakos, J Kim, C Fox; (II) Administrative support: JK Papadakos, C Fox; (III) Provision of study materials or patients: JK Papadakos, J Kim, C Fox; (IV) Collection and assembly of data: J Kim, C Fox; (V) Data analysis and interpretation: J Kim, D Samoil, C Fox, JK Papadakos; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

Correspondence to: Dr. Janet K. Papadakos. Ontario Health (Cancer Care Ontario), 525 University Avenue, Toronto, ON M5G 2L3, Canada. Email:

Abstract: A scoping review was conducted to summarize what is known about the associations between health literacy and cancer outcomes and to determine which health literacy measures are most commonly used in cancer health literacy research. Five electronic databases (Ovid Medline, Ovid Embase, PsychInfo, EBSCO CINAHL and ERIC) were searched, yielding 3,591 articles. Of those, 146 met inclusion criteria. Associations between health literacy and preventative cancer behaviours were the most widely examined outcome (N=55, 38%). Post treatment behaviours were the least commonly examined outcome (N=5, 3%). While mixed results were prevalent in the literature, inadequate health literacy was often found to be associated with a myriad of unfavorable health outcomes. A large breadth of health literacy tools was additionally used in the evaluation of health literacy, suggesting that existing measures are inadequate or incomplete, and that no existing measure holistically assess the construct. This review provides a detailed account of the associations between health literacy and cancer in the literature. Health literacy impacts cancer patients’ behaviours and health care service use. Future research is required to advance this field, in order to develop best-practices for health literacy evaluation and to produce programs and policies that aim to enhance patient outcomes.

Keywords: Cancer; health literacy; health outcomes; prevention; self-management

Received: 30 July 2020; Accepted: 08 January 2021; Published: 30 March 2021.

doi: 10.21037/ace-20-30


Health literacy (HL) refers to an individual’s ability to access, understand, appraise, and apply health related information (1). According to conservative estimates of the prevalence of low HL in Canada, only less than 12% of people aged 65 and older will not experience HL impairments throughout their lives and this challenge is widely felt across the globe (2,3). Health systems can be complicated to understand, leaving even highly educated individuals vulnerable when navigating their care (2). In an era of increasingly complex advances in oncology, even the small number of patients with high HL will struggle to understand and act on information about their diagnosis and treatments, leading to higher mortality and morbidity among this population (4). Given that cancer patients also experience immense emotional and psychological distress, further impairing their ability to retain and utilize health information, the challenge of low HL in the context of cancer care is significant and deserves immediate attention (5).

In past decades increased attention has been paid to HL as a factor influencing health behaviors and the use of preventive health care services (6). Low HL has been reported to be associated with several adverse clinical health outcomes including increased incidence of chronic illness, poorer intermediate disease markers, and less use of preventive health services (7). People with low HL are hospitalized more frequently, are less likely to undergo cancer screening, and more likely to have their cancer detected later (6,8). Although extensive research has been conducted to understand the effects of low HL on various health outcomes, there are no existing scoping reviews that comprehensively summarize the effects of HL in the context of cancer care delivery and clinical cancer-related outcomes. In addition, HL is an evolving concept with several definitions and measures (9). The purpose of this review is to identify and collate evidence on the known associations between HL and clinical cancer outcomes. In this review, clinical cancer outcomes are defined attitudes, knowledge and behaviors likely to affect engagement in cancer prevention, screening, and/or management activities and health care service-related outcomes (e.g., health services utilization, adherence/compliance, cost-related outcomes). A secondary purpose is to determine what HL measures are most commonly used in cancer HL research. We present the following article in accordance with the PRISMA extension for scoping reviews (PRISMA-ScR) reporting checklist (available at


A scoping review was conducted to summarize what is known about the association between HL and clinical cancer outcomes in the literature. Five electronic databases (Ovid Medline, Ovid Embase, EBSCO CINAHL PsychInfo, and ERIC) were searched by an information specialist. Ovid Medline, Ovid Embase and EBSCO CINAHL were searched as they broadly cover biomedical/health science literature. PsychInfo was searched to identify HL measurement tools, as it covers a wide range of survey instruments. ERIC was searched to discover additional HL literature, as it covers education related topics. Searches were limited to the English language and articles published between 1990 and March 1, 2020, as valid instruments to measure HL were not widely used until 1992. Database specific search strategies were developed using the following search terms: literacy [MeSH], health literacy [MeSH], computer literacy [MeSH], information literacy [MeSH, functional literacy, conceptual literacy, and numeracy for HL and cancer, neoplasms [MeSH], oncology [MeSH], tumor, and carcinoma for cancer. See Supplementary file 1 for detailed search strategies.

Citations were uploaded into EndNote for duplicate removal and exported into a spreadsheet. Citations were screened independently by a single reviewer in a two-stage process. Studies that did not meet inclusion criteria were excluded during title and abstract scan or full-text review as required. A small sample of articles (5%, N=180) were screened by two independent reviewers to assess inter-rater reliability and no discrepancies were identified. The literature suggests that a single reviewer process has no impact or a negligible impact on findings when performed by an experienced reviewer, which was the case for the present review (10).

Articles were included if they were English language research studies (observational or experimental), focused on associations between HL and cancer-related outcomes. Articles found in the gray literature were excluded because the focus of this review was on empirical evidence of association. Use of a validated instrument to measure HL was required. The study population included all patients, with or without a cancer diagnosis, across all cancer disease types. Data was extracted from full text articles and study characteristics were summarized using numeric and thematic analyses. Data was extracted using a standardized charting form developed by the reviewers, consisting of ten dimensions: jurisdiction, study purpose, study design, disease site, stage in cancer journey, sample, HL measures, outcomes, associations (results of the study), and authors’ conclusion. Inductive thematic coding was conducted to classify clinical cancer outcomes and a numerical summary of HL measures used was additionally performed.


The search yielded 3,591 articles. After duplicate removal and title and abstract scan, the number of eligible articles was reduced to 249. Backward reference searches of 13 systematic reviews identified nine additional articles. Data was extracted from 146 articles (see Figure 1).

Figure 1 Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) flow diagram. Included studies extend on a previous review conducted by the authors (11).

Numeric summary

Included studies were published in 20 countries, with most published in the US (N=91). Study design varied with a majority using cross sectional surveys (N=86). The top three cancer sites of interest were breast (N=51), cervix (N=25), and colorectal (N=32). The majority of studies focused on cancer in the screening stage (N=58), followed by prevention (N=27), treatment (N=26), survivorship (N=19), and diagnosis (N=4). Characteristics of included studies are summarized in Table 1.

Table 1
Table 1 Characteristics of Included Studies (N=146)
Full table

Thematic summary

HL assessment tools

Fifty-three HL measures were identified and thirty were validated. Measurement instruments are summarized in Table 2. Among these, nineteen measured general HL, nine numeracy, and eight functional HL.

Table 2
Table 2 Identification of Health Literacy Measurement Tools (N=146)
Full table

The Rapid Estimate of Adult Literacy in Medicine (REALM) (N=24) and the Test of Functional HL in Adults (TOFHLA) including the abbreviated version (S-TOFHLA) (N=17) were most frequently used. Eighty-one studies examined general HL, 19 examined functional HL and 22 examined numeracy using. The three-item objective numeracy scale (126), which evaluates individuals’ understanding and ability to solve basic probability and related ratio problems (76), was the most frequently used (N=9).

Fifteen studies assessed cancer-specific literacy using eleven measurement tools. Echeverri et al. (53) used the Cancer Health Literacy Test as well as the Multidimensional Cancer Literacy Questionnaire. Another study used the Cancer Literacy Scale (45). Three studies assessed screening literacy using the Assessment of Health Literacy in Cancer Screening (38,73,93). The Cancer Message Literacy Test was used in two studies, to assess patients’ listening and reading abilities (25) and communication with physicians (142). Three studies assessed breast cancer related literacy (121,122,143). The Cancer Literacy Assessment Tool for breast cancer (B-CLAT) was used in the two studies (122,143) and it was adapted to assess cervical cancer literacy (143). One study used the Assessment of Colon Cancer Literacy measure (28).

Five studies assessed e-HL (12,81,111,117,144). The e-HL Scale was used in all five studies. Twenty-seven studies used other measures of HL: three used questionnaires combining a self-developed questionnaire and a validated HL instrument (44,145), and four used an indirect measurement of HL. Of the four, two used proxy measures (e.g., education, provider’s subjective assessment), in addition to objective measures (104,105). The other two studies used proxy variable data (e.g., education, television/internet use) extracted from the Health Information National Trends Survey (HINTS) in the US (39,83). Questions from population-based surveys were leveraged to collect sample specific data in ten studies. Among these, six used HINTS questions in their assessments of HL (39,57,79,86,123,132). One study used HL risks scores as an explanatory variable (122). Health risks scores were the sum of three indicators: low cancer literacy, no knowledge of family cancer history, and education less than 12 completed years (122). Five studies used author-developed questionnaires to measure HL (15,23,87,99,136). Three qualitative studies explored participants’ functional HL (110,140,141).

Clinical cancer-related outcomes

Outcomes were analyzed thematically and nine outcome categories were identified: preventive behaviors (N=55); cancer-related knowledge, awareness, attitudes, and beliefs (N=39); risk perception (N=9); information seeking (N=9); decision-making for cancer care (N=12); quality of life (QOL) (N=11); health status (N=6); post-treatment health behaviors (N=5); and provider-patient communication (N=6). Other outcomes included willingness to participate in cancer research (N=1) and trust in the healthcare system (N=1). Study outcomes are summarized in Table 3.

Table 3
Table 3 Associations between health literacy and related outcomes (N=146)
Full table

Preventive behaviors (N=55)

Cancer screening behaviors (N=42), were the most examined outcome. Eleven studies examined colorectal cancer (CRC) (17,22,28,56,79,82,97,114,128,146,147), (N=7) breast cancer (67,88,113,116,120,121,139) and (N=8) cervical cancer screening behaviors (34,38,39,62,80,93,105,142). Fourteen studies examined screening for 2 or more cancer types (14,36,46,55,63,73,74,102,122,125,127,129,130,138). Four studies examined general cancer screening (65,87,100,117). Most studies reported that individuals with adequate HL are more likely to participate in screening (N=30).

Six studies reported no significant association between HL and screening outcomes (14,63,66,113,117,125). One study found that adherence to breast and cervical cancer screening follow-up was similar regardless of the women’s functional HL status (63). Mixed results were reported in six studies (34,74,88,91,122,130). One study reported that HIV positive women with low HL were more likely to comply with cervical cancer screening recommendations, suggesting an inverse association with HL (P=0.02). However, the same women were less likely to meet annual screening recommendations in the long-term (P=0.05) (34). Alternate findings suggest that barriers to accessing health services, which are greater for those with inadequate HL (91), as well as the influence of ethnicity and language preference acculturation (88) may impact individuals’ uptake of screening services.

The association between HL and other preventative behaviours (e.g., fruit/vegetable consumption, exercise, smoking) was explored in eight studies (6,13,18,23,26,46,57,79). Six studies reported a positive association between higher levels of HL and engagement in preventative health behaviours. Adams et al. (13) reported that inadequate functional HL was associated with increased odds of reporting lifestyle risk factors (e.g., smoking, obesity, alcohol consumption). A structural equation model revealed that functional HL had a significant mediation effect on the path from socioeconomic status to perceptions of lifestyle risk factors (P<0.001) (13).

Two studies examining skin cancer prevention behaviours reported mixed findings, where HL was positively associated with health-promoting behaviours (e.g., sunscreen use), as well as non-health promoting behaviours (e.g., incidental UV exposure, sunless tanning) (P<0.05) (18,23). Fleary et al. (57) reported that HL was not a significant predictor for cancer prevention behaviors, although HL was positively associated with cancer prevention beliefs.

Two studies examined compliance with post-screening follow-up recommendations. The first found that that education and physician-estimated literacy level were significant predictors of duration of time to follow-up (P=0.005), whereas objective HL level was not (P=0.25) (105). The second reported that men with low HL were less likely to comply with follow-up recommendations after prostate specific antigen testing (P<0.0001) (136). A greater proportion of these men also had a higher probability of experiencing locally advanced prostate cancer (P<0.005) (136).

Three studies examined associations between HL and time to notice symptoms/seek medical help (25,110,135). One found that low-income men with low HL were more likely to present with more advanced stage prostate cancer when first seeking medical attention (P=0.02) (25). In a qualitative study exploring women’s experiences with diagnosis and treatment delays for breast cancer, even when women had adequate knowledge about breast cancer risk factors, they did not think they were at risk of cancer, which caused diagnostic delays (110). Tecu et al. (20) reported similar findings, however, they reported no statistically significant correlation association between HL and cervical cancer patient’s time to notice symptoms or time to decide to seek a medical help (135).

Two studies explored the relationship between HL and patients’ “Don’t Know” responses to risk perception questions. The first study reported that greater odds of “Don’t Know” responses were associated with lower knowledge of cancer prevention and screening strategies, lower health information seeking and lower numeracy (79), while the second conducted a path analysis and found no direct effects of HL (115).

Cancer-related knowledge, awareness, attitudes and beliefs

Thirty-nine studies reported relationships of HL with cancer-related knowledge, awareness, attitudes, and beliefs. Among these 26 studies reported positive associations with the outcomes and four reported negative associations (8,19,70,89). Three examined negatively worded variables as outcomes [e.g., negative perception of breast cancer treatment (89), fear of cancer progression (70), cancer fatalism (8)], so the inverse relations reported in these studies are considered positive. The last study reporting a significant negative association found that physicians’ numeracy level was negatively associated with their predictions of patients’ agreement to undergo regular mammography (P=0.012), implying that physicians with low numeracy tend to be more susceptible to biases and heuristics under uncertainty (19).

Four studies found no significant associations with the outcomes (21,34,66,82). One study reported no significant association between HL and cancer knowledge but found that women with lower HL were less likely to report having had a pap test within the past year (χ2=3.94, P=0.05) (34). Three studies reported mixed results (30,44,123). One found that the effectiveness of an educational intervention was moderated by HL, with smaller increases in symptom awareness, and smaller decreases in barriers to medical help seeking among female participants with lower HL (30). Another found that participants with low numeracy, expressed by discomfort with medical statistics, were more likely to report information overload, display fatalistic attitudes, lack cancer prevention knowledge, and worry about cancer more frequently (123). Other measures of perceived numeracy which measured understanding and use of health statistics were not associated with fatalism [odds ratio (OR) 1.22, 95% confidence interval (CI): 0.95–1.59, P=0.12], prevention knowledge (OR 1.11, 95% CI: 0.82–1.50, P=0.49), or high frequency of worry (OR 1.39, 95% CI: 0.95–1.80, P=0.59) (123). Two studies examined associations between HL and screening intention. One study reported a positive association (46), whereas the other study reported non-significant associations with fecal occult blood test intention (P=0.34) or colonoscopy intention (P=0.09) (32).

Friedman et al. (60) explored African American men’s understanding and misperceptions about prostate cancer risks and found that despite adequate HL levels, participant’s limited understanding and misperceptions were revealed during interviews and focus groups.

Risk perception

Nine studies examined perception of cancer risks (30,32,49,50,91-93,124,126). Most (N=7) explored how HL (numeracy) is associated with comprehension of cancer risk information. Although most reported positive correlations between HL and the outcomes, more complex findings were reported in the following two studies. Keller et al. (91) identified a significant (P<0.001) three-way interaction between format, risk level, and numeracy. Authors found that high-numerate participants could accurately interpret levels of risk presented in three different formats, while low-numerate participants could not observe differences between low-and high-risk scenarios in any format (91). Another study reported a negative association between HL and participant’s estimated risk of colon cancer, such that individuals with higher numeracy were likely to estimate lower personal percentage likelihood of developing colon cancer in their lifetime (92).

Information seeking

Nine studies examined information seeking outcomes that included the identification of unmet informational needs (71,108,117), information seeking (81,140,141), and odds of searching for cancer specific information (46,51,97). Four studies reported positive associations with HL (46,81,96,117). One reported that lower HL was associated with higher unmet needs (71). Another study found no significant association between HL and information needs, although education attainment was a significant predictor of information need (108).

Two qualitative studies examined patterns of information seeking strategies among patients with varying HL levels (140,141). Findings indicated that patients with high HL were more likely to consult a broad informational network for prostate cancer related information and support, while those with low HL were less likely to communicate their personal experience to individuals other than their urologist (140,141).

Decision making for cancer care

Twelve studies examined decision making for cancer care. Three examined decision making for screening (43,54,103), and nine explored treatment-related decision-making (12,20,35,47,76,84,90,107,144). Among these, six reported positive relationships between HL and the outcomes (12,20,35,76,84,144).

One study examined how the e-HL of partners of men with prostate cancer affects their involvement in treatment decision-making. The study found that partners’ e-HL was positively associated with active engagement in seeking a second opinion, awareness of treatment options, and use of a large social network for gathering information for treatment decision making (144). Lillie et al. (103) reported positive associations between breast cancer patients’ HL and their information-processing styles and preferences for active participation in the decisions regarding genomic tests. Women with higher HL indicated greater information retention, higher desire for medical information, and preferred more active participation in medical decision-making (103).

Three studies discussed how patients’ HL affects their decision for treatment options. The first found that the odds of undergoing early salvage androgen deprivation therapy, which is characteristic of undesirable effects, was greater among men with low HL and high prostate-specific antigen anxiety (107). Additionally, a study found that patients with low perceived HL were significantly less likely to undergo breast reconstruction following mastectomy (P=0.007), although no significant associations were found between HL and surgical treatment choice (P=0.89) (90). Keim-Malpass et al. (47) reported similar findings, such that a patient’s decision to begin adjuvant endocrine therapy for breast cancer treatment did not differ significantly across HL levels (P=0.426).


Eleven studies explored correlations between HL and QOL (27,42,52,64,68,69,72,77,85,99,100). Two studies found no significant differences in health related QOL between low and high literacy groups (68,69). Six studies reported positive effects of HL on the outcomes and two reported mixed results. In one study, HL acted as a moderating variable, such that breast cancer patients with lower levels of HL experienced significantly higher increases in their QOL when subject to cancer care coordination (27). Another study found that HL was positively associated with self-reported increases in general health, and negatively associated with self-reported symptoms and self-efficacy (P<0.001) (139).

Health status

Six studies examined self-reported health status including emotional and psychological health (44,83,86,95,99,131). Among these, three reported positive relations between HL and outcomes (44,83,131). One reported mixed results, such that poor HL measured by HeLMS was associated with high distress, while HL measured by the S-TOFHLA did not have a significant association with the distress level (P=0.74) (95). O’Hara et al. (113) examined the relationship between HL, emotional health, and mobile-based patient provider communication (MBPPC). HL was found to be positively associated with both MBPPC (β=0.09, P<0.05) and emotional health (β=0.12, P<0.05), while MBPPC was not significantly associated with emotional health. The Sobel test was conducted to support the mediation effect of HL (z=2.538, P<0.05) (86).

Post-treatment behaviours

Five studies examined post-treatment health behaviors, including self-reported level of physical activity among breast cancer survivors (118), post-operative functional exercise compliance among breast cancer patients (134), cystoscopy follow-up compliance among bladder cancer patients (24), and adherence to adjunctive endocrine therapy at 2-year follow-up (47). Four studies reported positive correlations between HL and the outcomes (24,118,134), while one reported non-significant results (47).

Provider-patient communication

Six studies explored associations between HL and outcomes in this category (12,78,112,137,142,146). One study reported that ovarian cancer survivors with low HL were more likely to report that they preferred receiving less information about medical tests and were less likely to be satisfied with information provided by their health care providers (137). Mixed results were found where low subjective numeracy was associated with perceiving low-quality provider communication, yet the association was reversed for objective numeracy (P<0.05) (146). The authors suggest that the mixed results can be explained by a discrepancy between confidence in numeracy skills and actual ability (146).

The third study found that patients with lower HL listening scores asked providers for personalized information while participants with higher scores asked a greater variety of risk/benefits questions. The authors suggest that this may imply that patients with lower HL listening skills have greater difficulty understanding information provided to them by their health care providers (142). Similarly, another study found that patients with higher HL scores were more likely to provide their oncologist with more information and asks more questions in comparison to lower HL counterparts (12).

Perception of care coordination was examined in two studies and one reported a positive association between HL and the outcome (78) and the other reported a negative association (P<0.001) (112). The latter result indicates that the use of a designated care coordinator may have a stronger influence on perceived care coordination in patients with lower HL (112).

Other outcomes

One study examined willingness to participate in cancer research and found that participants with higher HL were more likely to participate (53). Another study explored the relationship between e-HL and trust in the healthcare system (12). It was reported that individuals with higher HL have more trust in the healthcare system, which in turn increases their likelihood of participating in shared decision making (12).

One of two studies reported HL as an outcome found that membership in a prostate cancer support group was partially associated with HL, such that members of the support group were more likely to have greater knowledge about cancer, increased likelihood of having read guidelines relating to their diagnosis, and increased competency for health service navigation in comparison to non-support group member patients (145). The second found that the relationship between cancer-specific literacy and family communication varies, suggesting that family communication plays a role in health education and healthcare decision-making (143).

Six studies did not report direct associations between HL and relevant outcomes (147-152); however, findings suggest meaningful implications surrounding HL and cancer. For instance, Jenkins et al. (149) found that the experience of cancer diagnosis and treatment did not in itself impart greater health and cancer specific literacy, and Woudstra (152) identified eight decision-making stages and ten main HL skills for informed decision making in CRC screening. Additional findings are summarized in Table 4.

Table 4
Table 4 Summary of additional findings (N=8)
Full table


The review identified associations between HL and clinical cancer-related outcomes. Among the outcome categories identified, Preventive Behaviors were most widely examined. The majority of studies reported positive associations between HL and clinical cancer related outcomes, suggesting that higher levels of HL are associated with a greater likelihood of experiencing favorable outcomes. The results show that inadequate HL is associated with: lower uptake of screening and preventative behaviours (22,43,116), longer lag time in symptom identification and medical help seeking (25,110), less knowledge of cancer and its prevention and treatment (40,48,120), impairments in risk perception (30,32,49), greater un-met informational needs (71), less information seeking behaviours (140,141), lower perceived QOL (27,85,99,100), less compliance with post-screening or post-treatment follow-up (24,134), and lower perceived quality and involvement in patient-provider communications (12,78,137). Implications of these associations are significant both for patients and the health care system at large. Individuals with low HL may present to the cancer system at more advanced stages of their disease or lack the skills required to self-manage their illness, leading to higher mortality and morbidity and greater care costs due to repeat emergency room visits and hospitalizations (11).

Mixed and contradictory findings were however also reported among the studies included in the review. Conflicting results may suggest implications surrounding measurement approaches for HL. Studies discussed that measurement instruments such as the REALM and TOFHLA may not be comprehensive measures of the broad range of skills and capabilities captured in the concept of HL (32,36). Experts agree that existing measures of HL are inadequate or incomplete, and that no existing measure holistically assess HL (55). This could explain the high between-study variability identified in the present review with respect to the tools and instruments used to assess HL.

Due to shortcomings of existing HL measures, the use of proxy measures or subjective assessment of HL was attempted in some studies, which may account for some of the conflicting outcomes reported. Several reports of mixed results were highlighted in studies that assessed both subjective and objective measures of HL (55,105,146). It is important to note, however, that it is unknown the extent to which proxy variables, subjective assessments, or self-reported HL may under or overestimate an individual’s actual HL level. For instance, literacy experts suggest that patients may attempt to hide their limited HL due to shame or social stigma (70). Individuals may also have a biased understanding of their own ability and skills related to health behaviors and health-related decision-making, which is then captured in their self-report data (37). Caution is therefore needed when interpreting HL results.

While this review was the first of its kind to summarize the effects of HL in the context of cancer care and clinical cancer-related outcomes, it is not without its limitations. A majority of studies included in the review employ a cross-sectional design, which does not allow for generalizability of findings or inferring causality between variables. Generalizability of findings is also limited across cancer stage and cancer type, as studies were largely focused on screening and prevention outcomes for patients with breast, cervical and CRC. The review was additionally limited to studies published in the English language and did not include articles published in the grey literature which may have led to the exclusion of relevant documents. Due to heterogeneity in the definition of HL in the literature, the search terms used in the present study to identify critical HL skills and capabilities may not have fully captured the construct. Another major limitation is that most data was based on participant self-report and therefore may be subject to social desirability and recall biases. Although this review presents supporting evidence for the association between HL and clinical cancer outcomes, more research is needed to explore these associations. As breadth of evidence is the focus of this review, methodological quality of the included studies was not assessed.


This review provides a detailed account of the associations between HL and clinical cancer in the literature. While a majority of studies reported a positive association between adequate levels of HL and favorable cancer-related outcomes, inconsistent results remain apparent. A high degree of variability in HL measurement tools is noteworthy and may account for some inconsistency in results. The findings of this review can be used to advance the field of cancer HL research by providing a clearer picture of the mechanics of HL and its impact on cancer health behaviours and preventative health care service use. Continued research in this area is critical as the promotion of HL among cancer patients has the potential to improve clinical outcomes and maintain good health.


Funding: None.


Reporting Checklist: The authors have completed the PRISMA extension for scoping reviews (PRISMA-ScR) reporting checklist. Available at

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolve.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See:


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doi: 10.21037/ace-20-30
Cite this article as: Samoil D, Kim J, Fox C, Papadakos JK. The importance of health literacy on clinical cancer outcomes: a scoping review. Ann Cancer Epidemiol 2021;5:3.

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