Literature DB >> 29609534

Negative cancer beliefs, recognition of cancer symptoms and anticipated time to help-seeking: an international cancer benchmarking partnership (ICBP) study.

Anette Fischer Pedersen1, Lindsay Forbes2, Kate Brain3, Line Hvidberg4, Christian Nielsen Wulff5, Magdalena Lagerlund6, Senada Hajdarevic7, Samantha L Quaife8, Peter Vedsted4.   

Abstract

BACKGROUND: Understanding what influences people to seek help can inform interventions to promote earlier diagnosis of cancer, and ultimately better cancer survival. We aimed to examine relationships between negative cancer beliefs, recognition of cancer symptoms and how long people think they would take to go to the doctor with possible cancer symptoms (anticipated patient intervals).
METHODS: Telephone interviews of 20,814 individuals (50+) in the United Kingdom, Australia, Canada, Denmark, Norway and Sweden were carried out using the Awareness and Beliefs about Cancer Measure (ABC). ABC included items on cancer beliefs, recognition of cancer symptoms and anticipated time to help-seeking for cough and rectal bleeding. The anticipated time to help-seeking was dichotomised as over one month for persistent cough and over one week for rectal bleeding.
RESULTS: Not recognising persistent cough/hoarseness and unexplained bleeding as cancer symptoms increased the likelihood of a longer anticipated patient interval for persistent cough (OR = 1.66; 95%CI = 1.47-1.87) and rectal bleeding (OR = 1.90; 95%CI = 1.58-2.30), respectively. Endorsing four or more out of six negative beliefs about cancer increased the likelihood of longer anticipated patient intervals for persistent cough and rectal bleeding (OR = 2.18; 95%CI = 1.71-2.78 and OR = 1.97; 95%CI = 1.51-2.57). Many negative beliefs about cancer moderated the relationship between not recognising unexplained bleeding as a cancer symptom and longer anticipated patient interval for rectal bleeding (p = 0.005).
CONCLUSIONS: Intervention studies should address both negative beliefs about cancer and knowledge of symptoms to optimise the effect.

Entities:  

Keywords:  Behavioural medicine; Primary health care; Surveys and questionnaires; Telephone

Mesh:

Year:  2018        PMID: 29609534      PMCID: PMC5879768          DOI: 10.1186/s12885-018-4287-8

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Diagnosis of cancer at an early stage is important to optimise the outcomes of cancer [1]. A study of more than 2000 patients with 15 different cancers showed that 21% had delayed symptomatic presentation for more than three months [2]. Therefore, improvement of our understanding of individuals’ decision to seek medical help for symptoms that could be a sign of cancer is very important. The patient interval is defined as the time period between an individual’s first discovery of a change in the body and the first consultation with a healthcare professional, often the general practitioner [1]. Cognitive factors such as knowledge about disease and symptoms seem to play a role in decision-making about healthcare seeking [3-5]. For instance, cancer patients who did not perceive their initial symptoms as serious were twice as likely to postpone help-seeking for at least three months [2]. Nevertheless, there is often a gap between knowledge and behaviour, with knowledge about cancer symptoms not entirely predictive of help-seeking behaviour [6, 7]. The relationship between negative cancer beliefs (NCBs) and help-seeking for a symptom which may be a sign of cancer has been under-researched. The aim of this paper was to explore the influence of NCBs on the likelihood of long anticipated patient intervals for persistent cough and rectal bleeding. Persistent cough and rectal bleeding may be signs of lung cancer and colorectal cancer, respectively, and these two cancers strike both men and women. They are two of the most common cancers, yet their symptoms may be perceived as less alarming or less specific to cancer than “classic” symptoms such as a lump. First, we examined the association between NCBs about cancer and longer anticipated patient intervals for persistent cough and rectal bleeding while adjusting for symptom recognition (see Fig. 1a). Second, we examined whether NCBs about cancer have a moderating influence on the association between not recognising persistent cough/hoarseness or unexplained bleeding as possible signs of cancer and a long anticipated patient interval for persistent cough and rectal bleeding, respectively (see Fig. 1b).
Fig. 1

Models of negative cancer beliefs as either independent variable or effect moderator. a Independent effects of negative beliefs about cancer and recognition of cancer symptoms on anticipated patient intervals. b Negative beliefs about cancer as an effect moderator of the association between recognition of cancer symptoms and length of the anticipated patient interval

Models of negative cancer beliefs as either independent variable or effect moderator. a Independent effects of negative beliefs about cancer and recognition of cancer symptoms on anticipated patient intervals. b Negative beliefs about cancer as an effect moderator of the association between recognition of cancer symptoms and length of the anticipated patient interval

Methods

Data were used from a survey conducted as part of the International Cancer Benchmarking Partnership (ICBP) which was initiated to study international variation in cancer survival. Module 2 of the ICBP measured population awareness and beliefs about cancer [8]. Data were collected from May to September 2011 [9] in six countries: the United Kingdom (England, Wales and Northern Ireland), Australia (New South Wales and Victoria), Canada, Denmark, Norway and Sweden. Computer-assisted telephone interviews were carried out by the research market company Ipsos MORI. All men and women aged 50 years or more living in private households and able to understand the official language of the country were eligible. The researchers aimed to achieve a sample size of 2000 respondents in each country or jurisdiction, and a total of 20,814 respondents participated. Data collection and response rates have been described in detail elsewhere [9-11]. NCBs, recognition of cancer symptoms and anticipated help-seeking were assessed by the internationally developed and validated Awareness and Beliefs about Cancer Measure (ABC) [12].

Dependent variable: anticipated time to help-seeking for persistent cough and rectal bleeding

Four items from the ABC assessed the anticipated patient interval for symptoms that could be signs of cancer. In the present study, lung cancer and colorectal cancer were the two target cancers and the anticipated patient intervals for these two cancers were assessed by asking the respondents how long they would wait before seeking help after experiencing a persistent cough and rectal bleeding, respectively. No standardised and internationally accepted guidelines are available about when to seek help for these symptoms. As presented in Table 1, anticipated patient intervals of more than one month for persistent cough and of more than one week for rectal bleeding were categorised as “long”. These cut-offs were chosen for two reasons. First they ensured that we had enough subjects in our “long” and “short” patient interval categories. Second, cut-offs appeared reasonable as everyone experiences a cough now and then and the duration of the symptom plays an important role when determining whether the cough needs medical attention. On the contrary, rectal bleeding happening more than once should always cause concern.
Table 1

Responses to questions about anticipated patient intervals and symptom awareness and how they were classified

Dependent variables: Anticipated patient intervals
How long would it take you to go to the doctor from the first time you noticed a persistent cough?How long would it take you to go to the doctor from the first time you noticed rectal bleeding?
Response categories:N (%)ClassificationN (%)Classification
I would go as soon as I noticed2669 (12.8)Short pt. interval12,617 (60.6)Short pt. interval
Up to 1 week3750 (18.0)Short pt. interval5017 (24.1)Short pt. interval
Over 1 up to 2 weeks4029 (19.4)Short pt. interval1323 (6.4)Long pt. interval
Over 2 up to 3 weeks3001 (14.4)Short pt. interval518 (2.5)Long pt. interval
Over 3 up to 4 weeks2557 (12.3)Short pt. interval357 (1.7)Long pt. interval
More than a month3267 (15.7)Long pt. interval488 (2.3)Long pt. interval
I would not contact a/my doctor844 (4.1)Long pt. interval171 (0.8)Long pt. interval
I would go to another HCP320 (1.5)Missing141 (0.7)Missing
Don’t know355 (1.7)Missing164 (0.8)Missing
Don’t want to answer22 (0.1)Missing18 (0.1)Missing
Independent variables: Recognition of symptoms as cancer symptoms
Do you think persistent cough or hoarseness could be a warning sign for cancer?Do you think unexplained bleeding could be a warning sign for cancer?
Response categories:N (%)ClassificationN (%)Classification
Yes15,155 (72.8)Recognition18,187 (87.4)Recognition
No4951 (23.8)Non-recognition2018 (9.7)Non-recognition
Don’t know693 (3.3)Missing598 (2.9)Missing
Don’t want to answer15 (7.2)Missing11 (0.0)Missing
Independent variable/moderator: Negative cancer beliefs (NCBs)
Answers classified as NCBs are highlighted in bold.
The answers “don’t know” and “don’t want to answer” were classified as missing.
Strongly disagree or tend to disagreeStrongly agree or tend to agreeDon’t know or refused
N (%)N (%)N (%)
People with cancer can expect to continue with normal activities 1936 (9.3) 18,187 (87.4)691 (3.3)
Cancer can often be cured 1853 (8.9) 18,502 (88.9)459 (2.2)
Going to the doctor as quickly as possible after noticing a symptom of cancer could increase the chances of surviving 394 (1.9) 20,310 (97.6)110 (0.5)
Cancer treatment is worse than the cancer itself7196 (34.6) 11,082 (53.2) 2536 (12.2)
I would not want to know if I have cancer18,004 (86.5) 2337 (11.2) 473 (2.3)
A diagnosis of cancer is a death sentence14,995 (72.0) 5110 (24.6) 709 (3.4)

HCP = Healthcare professional; pt. = patient

Responses to questions about anticipated patient intervals and symptom awareness and how they were classified HCP = Healthcare professional; pt. = patient

Independent variable: recognition of persistent cough or hoarseness and unexplained bleeding as cancer symptoms

The ABC included 11 possible cancer symptoms and respondents were asked to determine whether they thought that each symptom could be a warning sign of cancer. The warning signs most closely related to the two target cancers were persistent cough or hoarseness and unexplained bleeding. Response options and coding are shown in Table 1.

Independent variable and hypothesised moderator: negative cancer beliefs (NCBs)

Six statements examined respondents’ beliefs about cancer. The wording, response options and coding are shown in Table 1. The number of NCBs endorsed was summed for each respondent. As the proportion of respondents declaring five or six NCBs was limited (0.5%), the survey data from these respondents were grouped with the survey data from respondents declaring four NCBs to ensure sufficient statistical power.

Demographic characteristics

Data were collected on sex, age (categorised as 50 to 59 years, 60 to 69 years, 70 to 79 years and 80 years or older), marital status (categorised as married/cohabiting vs. single/divorced/separated/widowed), highest level of education (categorised as no university degree vs. university degree), experience of cancer themselves and/or in family/friend (categorised as yes/no), country and smoking status (categorised as never/former vs. current). Smokers have been shown to declare more NCBs than non-smokers [13].

Statistics

The associations between non-recognition of persistent cough or hoarseness and unexplained bleeding as cancer symptoms, number of NCBs about cancer and long anticipated patient intervals for persistent cough and rectal bleeding, respectively, were examined in two separate logistic regression analyses. Odds ratios (ORs) were calculated as measures of association. In the adjusted analyses, both non-recognition of symptom and number of NCBs were included as independent variables and sex, age, marital status, highest level of education, smoking status, experience of cancer and country were included as co-variables. As a sensitivity analysis, the logistic regression analyses were repeated with the answer “don’t know” to the questions about whether persistent cough or hoarseness and unexplained bleeding could be signs of cancer coded as “non-recognition” instead of missing. To test for a moderating effect of NCBs on the association between non-recognition of the symptoms and length of anticipated patient intervals, two interaction terms were computed: non-recognition of persistent cough or hoarseness as a cancer symptom multiplied with the number of NCBs and non-recognition of unexplained bleeding as a cancer symptom multiplied with the number of NCBs. These two interaction terms were included in two separate logistic regression analyses which also included independent and demographic variables. The likelihood-ratio (LR) test was used to determine whether the models with and without the interaction terms were statistically significantly different. In case of a statistically significant interaction, predictive margins would be used to visualise the effect and to assist interpretation (https://www.cscu.cornell.edu/news/statnews/stnews84.pdf). P-values of 5% or less were considered statistically significant. Data were analysed using STATA 13.1.

Results

Demographic characteristics and proportion of respondents with none to four or more NCBs are shown in Table 2 (see additional file 1 for these results reported for each country).
Table 2

Description of the sample

AllFemalesMales
N = 20,814 (100%)N = 12,456 (59.8%)N = 8358 (40.2%)
Age group, n (%)
 50–59 years7375 (35.4)4414 (35.4)2961 (35.4)
 60–69 years7510 (36.1)4416 (35.5)3094 (37.0)
 70–79 years4234 (20.3)2564 (20.6)1670 (20.0)
  ≥ 80 years1695 (8.1)1062 (8.5)633 (7.6)
Marital status
 Cohabiting12,665 (60.9)6747 (54.2)5918 (70.8)
 Single8082 (38.8)5665 (45.5)2417 (28.9)
Education
 No university degree14,334 (68.9)8911 (71.5)5423 (64.9)
 University degree6331 (30.4)3448 (27.7)2883 (34.5)
Smoking status
 Not current smoker17,600 (84.6)10,605 (85.1)6995 (83.7)
 Current smoker3207 (15.4)1847 (14.8)1360 (16.3)
Experience of cancer (self and/or family/friend)
 Yes17,157 (82.4)10,698 (85.9)6459 (77.3)
 No3629 (17.4)1745 (14.0)1884 (22.5)
Anticipated interval for persistent cough
 Short16,006 (76.9)9578 (76.9)6428 (76.9)
 Long (>  1 month)4111 (19.8)2466 (19.8)1645 (19.7)
Anticipated interval for rectal bleeding
 Short17,634 (84.7)10,588 (85.0)7046 (84.3)
 Long (>  1 week)2857 (13.7)1675 (13.5)1182 (14.1)
Recognition of persistent cough or hoarseness as cancer symptom
 Yes15,155 (72.8)9501 (76.3)5654 (67.7)
 No4951 (23.8)2558 (20.5)2393 (28.6)
Recognition of unexplained bleeding as cancer symptom
 Yes18,187 (87.4)11,157 (89.6)7030 (84.1)
 No2018 (9.7)1005 (8.1)1013 (12.1)
Number of negative cancer beliefs (coded as)
 0 (0)6427 (30.9)3420 (27.5)3007 (36.0)
 1 (1)8412 (40.4)5225 (42.0)3187 (38.1)
 2 (2)4180 (20.1)2682 (21.5)1498 (17.9)
 3 (3)1347 (6.5)849 (6.8)498 (6.0)
 4–6 (>  4)448 (2.2)280 (2.3)168 (2.0)

Sums vary because of missing data

Description of the sample Sums vary because of missing data Not recognising persistent cough or hoarseness as a possible sign of cancer (OR = 1.66, 95% CI = 1.47–1.87) and a high number of NCBs (OR≥ 4 NCBs = 2.18, 95% CI = 1.71–2.78) were independently associated with an increased likelihood of a longer anticipated patient interval for persistent cough (Table 3). Not recognising unexplained bleeding as a possible sign of cancer (OR = 1.90, 95% CI = 1.58–2.30) and a high number of NCBs (OR≥ 4 NCBs = 1.97, 95% CI = 1.51–2.57) were independently associated with an increased likelihood of a longer anticipated patient interval for rectal bleeding (Table 4). In both models, there was a dose-response relationship between the number of NCBs and the likelihood of a longer anticipated patient interval.
Table 3

Associations between recognition of persistent cough or hoarseness as cancer symptom, negative beliefs about cancer and long anticipated patient interval for persistent cough (nadjusted = 19,277)

UnadjustedAdjusted*
Outcome: long anticipated patient interval for cough (>  1 month)Outcome: long anticipated patient interval for cough (>  1 month)
Proportion with long interval (%)OR95% CIP-valueOR95% CIP-value
Recognition of persistent cough or hoarseness as cancer symptom
 Yes18.5Ref.Ref.
 No26.71.601.49–1.73< 0.0011.661.47–1.87< 0.001
Number of negative beliefs about cancer
 019.8Ref.Ref.
 119.30.970.89–1.050.4530.970.89–1.060.522
 220.71.050.95–1.160.3121.060.95–1.190.305
 324.51.311.14–1.51< 0.0011.331.13–1.570.001
  ≥ 436.32.311.87–2.84< 0.0012.181.71–2.78< 0.001
Age group
 50–59 years23.1Ref.Ref.
 60–69 years21.30.900.84–0.980.0120.930.86–1.010.087
 70–79 years17.00.680.62–0.76< 0.0010.750.67–0.83< 0.001
  ≥ 80 years13.10.500.43–0.59< 0.0010.570.48–0.67< 0.001
Sex
 Female20.5Ref.Ref.
 Male20.40.990.93–1.070.8650.930.86–1.000.042
Marital status
 Cohabiting21.1Ref.Ref.
 Single19.30.890.83–0.960.0020.930.86–1.000.057
Education
 No university degree19.6Ref.Ref.
 University degree22.31.181.09–1.27< 0.0011.241.15–1.34< 0.001
Smoking status
 Not current smoker19.4Ref.Ref.
 Current smoker26.11.471.34–1.60< 0.0011.381.26–1.52< 0.001
Experience of cancer (self and/or family/friend)
 Yes20.7Ref.Ref.
 No19.00.900.82–0.980.0200.850.77–0.930.001
Country
 UK22.5Ref.Ref.
 Australia16.90.700.63–0.77< 0.0010.700.63–0.78< 0.001
 Canada18.80.790.72–0.88< 0.0010.740.67–0.83< 0.001
 Denmark21.30.930.82–1.050.2290.880.78–1.000.053
 Norway24.91.141.01–1.280.0311.100.97–1.240.137
 Sweden18.20.770.67–0.87< 0.0010.720.64–0.83< 0.001
Test of moderation
 Negative beliefs x Non-recognition of persistent cough or hoarseness0.990.92–1.070.831
Likelihood-ratio test
 LR chi20.05
 P-value0.831

*All independent variables were included in the same model

Table 4

Associations between recognition of unexplained bleeding as cancer symptom, negative beliefs about cancer and long anticipated patient interval for rectal bleeding (nadjusted = 19,695)

UnadjustedAdjusted*
Outcome: long anticipated patient interval for rectal bleeding (>  1 week)Outcome: long anticipated patient interval for rectal bleeding (>  1 week)
Proportion with long interval (%)OR95% CIP-valueOR95% CIP-value
Recognition of unexplained bleeding as cancer symptom
 Yes13.3Ref.Ref.
 No19.71.591.41–1.79< 0.0011.901.58–2.30< 0.001
Number of negative beliefs about cancer
 013.0Ref.Ref.
 113.81.070.98–1.180.1471.111.00–1.220.051
 214.41.131.01–1.270.0341.211.07–1.370.002
 315.81.261.06–1.480.0071.411.18–1.69< 0.001
  ≥ 420.31.711.34–2.18< 0.0011.971.51–2.57< 0.001
Age group
 50–59 years16.6Ref.Ref.
 60–69 years14.00.820.75–0.90< 0.0010.820.75–0.90< 0.001
 70–79 years11.40.650.58–0.73< 0.0010.670.59–0.76< 0.001
  ≥ 80 years8.50.460.39–0.56< 0.0010.510.41–0.62< 0.001
Sex
 Female13.7Ref.Ref.
 Male14.41.060.98–1.150.1521.030.95–1.120.495
Marital status
 Cohabiting14.3Ref.Ref.
 Single13.50.930.86–1.010.1031.080.99–1.180.086
Education
 No university degree12.9Ref.Ref.
 University degree16.41.331.22–1.44< 0.0011.291.18–1.41< 0.001
Smoking status
 Not current smoker14.0Ref.Ref.
 Current smoker13.91.000.90–1.120.9900.910.81–1.020.111
Experience of cancer (self and/or family/friend)
 Yes14.2Ref.Ref.
 No12.60.870.78–0.970.0100.850.76–0.950.006
Country
 UK13.6Ref.Ref.
 Australia8.60.590.52–0.68< 0.0010.600.52–0.68< 0.001
 Canada15.11.131.01–1.270.0331.040.93–1.170.480
 Denmark14.61.080.94–1.250.2701.000.86–1.160.990
 Norway19.41.521.34–1.74< 0.0011.461.27–1.68< 0.001
 Sweden17.11.311.14–1.50< 0.0011.221.06–1.410.005
Test of moderation
Negative beliefs x Non-recognition of unexplained bleeding0.840.75–0.950.005
Likelihood-ratio test
 LR chi27.97
 P-value0.005

*All independent variables were included in the same model

Associations between recognition of persistent cough or hoarseness as cancer symptom, negative beliefs about cancer and long anticipated patient interval for persistent cough (nadjusted = 19,277) *All independent variables were included in the same model Associations between recognition of unexplained bleeding as cancer symptom, negative beliefs about cancer and long anticipated patient interval for rectal bleeding (nadjusted = 19,695) *All independent variables were included in the same model The results of the sensitivity analysis (the answer “don't know” coded as “non-recognition” of symptom instead of missing) confirmed a statistically independent influence of non-recognition of symptoms (ORpersistent cough = 1.57, 95% CI = 1.40–1.77; ORrectal bleeding = 1.70, 95% CI = 1.43–2.01) and number of NCBs (ORpersistent cough = 2.27, 95% CI = 1.79–2.89; ORrectal bleeding = 1.98, 95% CI = 1.53–2.58) on the likelihood of a long anticipated patient interval for persistent cough and rectal bleeding (adjusted analyses, data not shown). No statistically significant interaction effect of NCBs and not recognising cough or hoarseness on the likelihood of a long anticipated patient interval for persistent cough was revealed in the moderation analysis (Table 3). However, the moderation analysis revealed a significant interaction of NCBs with non-recognition of unexplained bleeding on the likelihood of a long anticipated patient interval for rectal bleeding, and the likelihood-ratio test confirmed that the statistical model with the interaction term was significantly different from the model without the interaction term (LR chi2 = 7.97, p = 0.005; Table 4). In Fig. 2, the predicted probabilities of reporting a long anticipated patient interval for rectal bleeding across different levels of NCBs are depicted. The predicted probability of a long anticipated patient interval for those who recognised unexplained bleeding as a possible cancer symptom increased with number of NCBs. For those reporting four or more NCBs, the predicted probability of a long anticipated patient interval for rectal bleeding was the same regardless of whether they recognised unexplained bleeding as a cancer symptom or not. For those who did not recognise unexplained bleeding as a cancer symptom, the predicted probabilities for a long anticipated patient interval for rectal bleeding decreased with increasing number of NCBs.
Fig. 2

Predicted probabilities of a long anticipated patient interval with 95% CIs for respondents who recognised or did not recognise unexplained bleeding as cancer symptom and with various levels of negative cancer beliefs

Predicted probabilities of a long anticipated patient interval with 95% CIs for respondents who recognised or did not recognise unexplained bleeding as cancer symptom and with various levels of negative cancer beliefs

Discussion

Main findings

Not recognising persistent cough/hoarseness and unexplained bleeding as possible signs of cancer and number of NCBs were independently associated with an increased likelihood of longer anticipated patient intervals for persistent cough and rectal bleeding, respectively. There was a dose-response relationship between number of NCBs and longer anticipated patient intervals for persistent cough and rectal bleeding. Hence, a high level of NCBs may act as a barrier to help-seeking when experiencing a symptom that could be a sign of cancer. Furthermore, we found that number of NCBs was an effect moderator as when respondents reported four or more NCBs, the risk of a long anticipated patient interval for rectal bleeding would be the same whether the respondent had recognised unexplained bleeding as a cancer symptom or not. Number of NCBs could only be documented as an effect moderator in the model of bleeding and not in the model of cough. Respondents estimated that they would wait longer before seeking help for a persisting cough than for rectal bleeding and in line with this finding, respondents in another survey seldom recognised cough or hoarseness as a cancer symptom [14]. If respondents do not see persistent cough as a “red flag” symptom in the same way they see rectal bleeding, it seems plausible that the role of NCBs may be different in the two models. The moderating potential of NCBs may only come into play when the symptom is experienced as serious and the symptom recognition thereby causes anxiety [15]. We find it difficult to explain why the probability of a long anticipated patient interval for rectal bleeding decreased with increasing number of NCBs among those who did not recognise unexplained bleeding as a cancer symptom. The number of respondents who did not recognise unexplained bleeding as a cancer symptom was relatively small compared to those who did and therefore, when subdividing the group based on number of NCBs, the confidence intervals became rather wide as was evident in Fig. 2 and results from this analysis should be interpreted with caution.

Strengths and limitations

Among the strengths of this study was the use of a population-representative sample and that we used an internationally validated questionnaire for assessing recognition of cancer symptoms and NCBs outcomes [12]. A potential weakness is that the anticipated help-seeking interval was hypothetical and might not mirror the response if a person experienced the symptom in reality. The majority of respondents (61%) reported that they would seek help immediately if they experienced rectal bleeding, but a review of 38 studies examining patient intervals in colorectal cancer showed that the actual median patient interval ranged from 7 days to 5 months [16]. This suggests that at least some of the participants in our study have underestimated how long they would actually wait before seeking help. Further, since the present data were cross-sectional, the causality of associations cannot be determined.

Comparisons with existing literature

Several other studies have found that lack of knowledge of cancer symptoms is associated with longer anticipated patient intervals [5] and actual patient intervals [2-4]. The influence of NCBs on length of the patient interval has been less frequently studied. Qualitative studies have found that negative expectations of the health care professional make patients with potentially malignant oral symptoms more likely to postpone help-seeking [17], that older women (≥ 65 years) were deterred from seeking help because of negative expectations to surgical and medical treatments [18] and that poor confidence in the healthcare system was a reason for not seeking help when experiencing cancer alarm symptoms [19]. Further, a review of 32 qualitative studies revealed that a fatalistic attitude to cancer was one of the main reasons for delaying help-seeking as well as interpreting symptoms as benign and self-limiting [20]. The Extended Parallel Process Model (EPPM) [21, 22] may be useful for explaining the moderating effect of NCBs on the increased likelihood of longer anticipated patient intervals for potential colorectal symptoms. Thus, recognition of a symptom as a possible sign of cancer may give rise to fear, which has been identified as a barrier to help-seeking as well as a factor which could promote prompt help-seeking for cancer symptoms [19, 23]. According to the EPPM, fear will induce protective danger control processes (e.g. fast help-seeking) only if the individual believes that s/he is able to deal with the threat [21, 24]. If NCBs about the disease and its treatment are salient and the individual believes that no action will be effective dealing with the disease, the fear will induce fear control processes such as denial and downplay of worrisome symptoms, meaning that help-seeking may be postponed.

Conclusion

It is often assumed that patients with sufficient knowledge about possible cancer symptoms would engage in appropriate help-seeking [6]. The results of the present study support this notion, as people who recognised cancer symptoms reported shorter anticipated patient intervals compared to people who did not recognise these symptoms as possible signs of cancer. Meanwhile, a high number of NCBs also increased the likelihood of long anticipated patient intervals, and the association between recognition of unexplained bleeding as a cancer symptom and the intention to seek help quickly for rectal bleeding was only seen in respondents who reported few NCBs. Therefore, it is equally important that NCBs are addressed in interventions designed to shorten patient intervals. Description of sample countrywise. (DOC 81 kb)
  21 in total

1.  The International Cancer Benchmarking Partnership: an international collaboration to inform cancer policy in Australia, Canada, Denmark, Norway, Sweden and the United Kingdom.

Authors:  John Butler; Catherine Foot; Martine Bomb; Sara Hiom; Michel Coleman; Heather Bryant; Peter Vedsted; Jane Hanson; Mike Richards
Journal:  Health Policy       Date:  2013-05-18       Impact factor: 2.980

2.  Does the organizational structure of health care systems influence care-seeking decisions? A qualitative analysis of Danish cancer patients' reflections on care-seeking.

Authors:  Rikke Sand Andersen; Peter Vedsted; Frede Olesen; Flemming Bro; Jens Søndergaard
Journal:  Scand J Prim Health Care       Date:  2011-08-23       Impact factor: 2.581

Review 3.  The role of emotions in time to presentation for symptoms suggestive of cancer: a systematic literature review of quantitative studies.

Authors:  Chantal Balasooriya-Smeekens; Fiona M Walter; Suzanne Scott
Journal:  Psychooncology       Date:  2015-05-18       Impact factor: 3.894

4.  Barriers and triggers to seeking help for potentially malignant oral symptoms: implications for interventions.

Authors:  Suzanne E Scott; Elizabeth A Grunfeld; Vivian Auyeung; Mark McGurk
Journal:  J Public Health Dent       Date:  2009       Impact factor: 1.821

5.  Help seeking for cancer 'alarm' symptoms: a qualitative interview study of primary care patients in the UK.

Authors:  Katriina L Whitaker; Una Macleod; Kelly Winstanley; Suzanne E Scott; Jane Wardle
Journal:  Br J Gen Pract       Date:  2015-02       Impact factor: 5.386

6.  Recognition of cancer warning signs and anticipated delay in help-seeking in a population sample of adults in the UK.

Authors:  S L Quaife; L J L Forbes; A J Ramirez; K E Brain; C Donnelly; A E Simon; J Wardle
Journal:  Br J Cancer       Date:  2013-10-31       Impact factor: 7.640

7.  Smoking is associated with pessimistic and avoidant beliefs about cancer: results from the International Cancer Benchmarking Partnership.

Authors:  S L Quaife; A McEwen; S M Janes; J Wardle
Journal:  Br J Cancer       Date:  2015-05-07       Impact factor: 7.640

8.  Risk factors for delayed presentation and referral of symptomatic cancer: evidence for common cancers.

Authors:  U Macleod; E D Mitchell; C Burgess; S Macdonald; A J Ramirez
Journal:  Br J Cancer       Date:  2009-12-03       Impact factor: 7.640

9.  Differences in cancer awareness and beliefs between Australia, Canada, Denmark, Norway, Sweden and the UK (the International Cancer Benchmarking Partnership): do they contribute to differences in cancer survival?

Authors:  L J L Forbes; A E Simon; F Warburton; D Boniface; K E Brain; A Dessaix; C Donnelly; K Haynes; L Hvidberg; M Lagerlund; G Lockwood; C Tishelman; P Vedsted; M N Vigmostad; A J Ramirez; J Wardle
Journal:  Br J Cancer       Date:  2013-01-31       Impact factor: 7.640

10.  Risk factors for delay in symptomatic presentation: a survey of cancer patients.

Authors:  L J L Forbes; F Warburton; M A Richards; A J Ramirez
Journal:  Br J Cancer       Date:  2014-06-10       Impact factor: 7.640

View more
  10 in total

1.  Factors influencing symptom appraisal and help-seeking of older adults with possible cancer: a mixed-methods systematic review.

Authors:  Daniel Jones; Erica Di Martino; Stephen H Bradley; Blessing Essang; Scott Hemphill; Judy M Wright; Cristina Renzi; Claire Surr; Andrew Clegg; Richard Neal
Journal:  Br J Gen Pract       Date:  2022-06-16       Impact factor: 6.302

2.  Awareness of colorectal cancer signs and symptoms: a national cross-sectional study from Palestine.

Authors:  Mohamedraed Elshami; Mohammed Majed Ayyad; Nasser Abu-El-Noor; Bettina Bottcher; Mohammed Alser; Ibrahim Al-Slaibi; Shoruq Ahmed Naji; Balqees Mustafa Mohamad; Wejdan Sudki Isleem; Adela Shurrab; Bashar Yaghi; Yahya Ayyash Qabaja; Fatima Khader Hmdan; Mohammad Fuad Dwikat; Raneen Raed Sweity; Remah Tayseer Jneed; Khayria Ali Assaf; Maram Elena Albandak; Mohammed Madhat Hmaid; Iyas Imad Awwad; Belal Khalil Alhabil; Marah Naser Alarda; Amani Saleh Alsattari; Moumen Sameer Aboyousef; Omar Abdallah Aljbour; Rinad AlSharif; Christy Teddy Giacaman; Ali Younis Alnaga; Ranin Mufid Abu Nemer; Nada Mahmoud Almadhoun; Sondos Mahmoud Skaik
Journal:  BMC Public Health       Date:  2022-04-30       Impact factor: 4.135

3.  Negative cancer beliefs: Socioeconomic differences from the awareness and beliefs about cancer survey.

Authors:  Elizabeth A Sarma; Samantha L Quaife; Katharine A Rendle; Sarah C Kobrin
Journal:  Psychooncology       Date:  2020-10-25       Impact factor: 3.955

4.  Perceived barriers to seeking cancer care in the Gaza Strip: a cross-sectional study.

Authors:  Mohamedraed Elshami; Bettina Bottcher; Mohammed Alkhatib; Iyad Ismail; Khitam Abu-Nemer; Mustafa Hana; Ahmed Qandeel; Ahmed Abdelwahed; Hamza Yazji; Hisham Abuamro; Ghadeer Matar; Ahmed Alsahhar; Ahmed Abolamzi; Obay Baraka; Mahmood Elblbessy; Tahani Samra; Nabeela Alshorbassi; Alaa Elshami
Journal:  BMC Health Serv Res       Date:  2021-01-06       Impact factor: 2.655

5.  Sensations, symptoms, and then what? Early bodily experiences prior to diagnosis of lung cancer.

Authors:  Britt-Marie Bernhardson; Carol Tishelman; Birgit H Rasmussen; Senada Hajdarevic; Marlene Malmström; Trine Laura Overgaard Hasle; Louise Locock; Lars E Eriksson
Journal:  PLoS One       Date:  2021-03-29       Impact factor: 3.240

6.  Knowledge of ovarian cancer symptoms among women in Palestine: a national cross-sectional study.

Authors:  Mohamedraed Elshami; Areej Yaseen; Mohammed Alser; Ibrahim Al-Slaibi; Nasser Abu-El-Noor; Bettina Bottcher; Hadeel Jabr; Sara Ubaiat; Aya Tuffaha; Salma Khader; Reem Khraishi; Inas Jaber; Zeina Abu Arafeh; Sondos Al-Madhoun; Aya Alqattaa; Asmaa Abd El Hadi; Ola Barhoush; Maysun Hijazy; Tamara Eleyan; Amany Alser; Amal Abu Hziema; Amany Shatat; Falasteen Almakhtoob; Balqees Mohamad; Walaa Farhat; Yasmeen Abuamra; Hanaa Mousa; Reem Adawi; Alaa Musallam
Journal:  BMC Public Health       Date:  2021-11-03       Impact factor: 3.295

7.  Awareness of ovarian cancer risk and protective factors: A national cross-sectional study from Palestine.

Authors:  Mohamedraed Elshami; Aya Tuffaha; Areej Yaseen; Mohammed Alser; Ibrahim Al-Slaibi; Hadeel Jabr; Sara Ubaiat; Salma Khader; Reem Khraishi; Inas Jaber; Zeina Abu Arafeh; Sondos Al-Madhoun; Aya Alqattaa; Asmaa Abd El Hadi; Ola Barhoush; Maysun Hijazy; Tamara Eleyan; Amany Alser; Amal Abu Hziema; Amany Shatat; Falasteen Almakhtoob; Balqees Mohamad; Walaa Farhat; Yasmeen Abuamra; Hanaa Mousa; Reem Adawi; Alaa Musallam; Nasser Abu-El-Noor; Bettina Bottcher
Journal:  PLoS One       Date:  2022-03-21       Impact factor: 3.240

8.  Women's awareness of breast cancer symptoms: a national cross-sectional study from Palestine.

Authors:  Nasser Abu-El-Noor; Bettina Bottcher; Mohamedraed Elshami; Ibrahim Al-Slaibi; Roba Jamal Ghithan; Mohammed Alser; Nouran Ramzi Shurrab; Islam Osama Ismail; Ibtisam Ismail Mahfouz; Aseel AbdulQader Fannon; Malak Ayman Qawasmi; Mona Radi Hawa; Narmeen Giacaman; Manar Ahmaro; Heba Mahmoud Okshiya; Rula Khader Zaatreh; Wafa Aqel AbuKhalil; Faten Darwish Usrof; Noor Khairi Melhim; Ruba Jamal Madbouh; Hala Jamal Abu Hziema; Raghad Abed-Allateef Lahlooh; Sara Nawaf Ubaiat; Nour Ali Jaffal; Reem Khaled Alawna; Salsabeel Naeem Abed; Bessan Nimer Abuzahra; Aya Jawad Abu Kwaik; Mays Hafez Dodin; Raghad Othman Taha; Dina Mohammed Alashqar; Roaa Abd-Alfattah Mobarak; Tasneem Smerat
Journal:  BMC Public Health       Date:  2022-04-21       Impact factor: 4.135

9.  Cancer as a death sentence: developing an initial program theory for an IVR intervention.

Authors:  Onaedo Ilozumba; Johnblack Kabukye; Nicolet de Keizer; Ronald Cornet; Jacqueline E W Broerse
Journal:  Health Promot Int       Date:  2022-06-01       Impact factor: 3.734

10.  The Effectiveness of Interventional Cancer Education Programs for School Students Aged 8-19 Years: a Systematic Review.

Authors:  Khadija Al-Hosni; Moon Fai Chan; Mohammed Al-Azri
Journal:  J Cancer Educ       Date:  2021-04       Impact factor: 2.037

  10 in total

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