Abstract
Background
Ovarian cancer is usually diagnosed at a late stage when outcomes are poor. Personalised ovarian cancer risk prediction, based on genetic and epidemiological information and risk stratified management in adult women could improve outcomes. Examining health care professionals’ (HCP) attitudes to ovarian cancer risk stratified management, willingness to support women, self-efficacy (belief in one’s own ability to successfully complete a task), and knowledge about ovarian cancer will help identify training needs in anticipation of personalised ovarian cancer risk prediction being introduced.
Methods
An anonymous survey was distributed online to HCPs via relevant professional organisations in the UK. Kruskal-Wallis tests and pairwise comparisons were used to compare knowledge and self-efficacy scores between different types of HCPs, and attitudes toward population-based genetic testing and risk stratified management were described. Content analysis was undertaken of free text responses concerning HCPs willingness to discuss risk management options with women.
Results
One hundred forty-six eligible HCPs completed the survey: oncologists (31%); genetics clinicians (30%); general practitioners (22%); gynaecologists (10%); nurses (4%); and ‘others’. Scores for knowledge of ovarian cancer and genetics, and self-efficacy in conducting a cancer risk consultation were generally high but significantly lower for general practitioners compared to genetics clinicians, oncologists, and gynaecologists. Support for population-based genetic testing was not high (<50%). Attitudes towards ovarian cancer risk stratification were mixed, although the majority of participants indicated a willingness to discuss management options with patients.
Conclusions
Larger samples are required to investigate attitudes to population-based genetic testing for ovarian cancer risk and to establish why some HCPs are hesitant to offer testing to all adult female patients. If ovarian cancer risk assessment using genetic testing and non-genetic information including epidemiological information is rolled out on a population basis, training will be needed for HCPs in primary care to enable them to provide appropriate support to women at each stage of the process.
Electronic supplementary material
The online version of this article (10.1186/s12905-017-0488-6) contains supplementary material, which is available to authorized users.
Keywords: Health care professionals, Ovarian cancer, Genetic testing, Risk stratification
Background
Ovarian cancer is the sixth most common cancer among women in the UK [1]. Due to the lack of distinctive symptoms, most women are diagnosed at a late stage when mortality is high. Around 46% of women diagnosed with ovarian cancer in England and Wales survive 5 years or more; however, in the large proportion of women diagnosed with advanced stage disease, 5-year survival is only 10% [1]. Ovarian cancer screening within the general population is currently not available on the National Health Service (NHS) in the UK due to lack of definitive evidence that it decreases mortality through early detection [2].
The strongest genetic risk factors for ovarian cancer are mutations in the BRCA1/2 genes. Clinical genetic testing for BRCA1/2 gene mutations is currently available as a service on the NHS in the UK to individuals with a 10% or greater chance of carrying a BRCA1/2 mutation [3] including those with high grade non-mucinous ovarian cancer, or those with a strong family history of breast and/or ovarian cancer. Once a pathogenic mutation is identified, testing can be offered to relatives to estimate their risk of developing the disease and to identify the most appropriate risk management strategy [4]. Approximately 10–15% of ovarian cancer cases are believed to be due to a BRCA1/2 mutation [5, 6], however ~50% of individuals with a pathogenic BRCA mutation may not report a strong family history of cancer [7, 8]. These families may not be referred to clinical genetics even though current guidelines [9] recommend testing in these situations. Population based genetic testing could address this.
Progress in (1) scientific understanding of the genetic basis of different sub-types of ovarian cancer, as well as (2) the identification of common gene mutations that cumulatively may confer an increased risk, and (3) lower costs of genetic testing, mean that population-based risk stratification based on the combination of genetic and non-genetic information (e.g. family history, lifestyle) could become a viable option [10, 11]. The PROMISE research programme (Predicting Risk of Ovarian Malignancies, Improving Screening and Early detection, https://eveappeal.org.uk/our-research/our-research-programmes/promise-2016/) aims to improve early detection and risk management of ovarian cancer. PROMISE includes a feasibility study for a population-based risk stratified programme for ovarian cancer, utilising genetic testing. Risk-management strategies including information for those at low risk and screening or risk-reducing surgery for those at intermediate and high risk will then be offered accordingly. This population-based approach could improve early ovarian cancer detection by flagging up high-risk individuals for intensive screening, while reducing the number of unnecessary investigations carried out on low-risk individuals [12]. Recently published findings from the UK Familial Ovarian Cancer Screening Study (UKFOCSS) indicate that multimodal screening, involving 4-monthly blood tests for biomarker CA125 interpreted with the risk of ovarian cancer algorithm (ROCA), and secondary testing with transvaginal ultrasound, is highly sensitive and can detect ovarian cancer at an earlier stage [13]. Whilst risk-reducing surgery would still be the best option for women at high risk of ovarian cancer, screening could be offered to those who choose not to have surgery. The ability and willingness of health care professionals (HCPs) to support such a programme of population-based risk assessment and stratified management [11] needs to be established before it could be rolled out in the UK.
Evidence from Europe and the US suggests that HCPs in primary care generally have quite low levels of genetics knowledge [14, 15] and lack confidence in their ability to carry out tasks such as recording patients’ family histories of disease, discussing the risks and benefits of genetic testing and counselling patients about their test results [16–18]. It is unsurprising to find that oncologists and gynaecologists are more knowledgeable about genetics than general or family practitioners [19, 20]. It is encouraging to note that HCPs who completed training more recently appear to have more knowledge of genetics [21, 22], and greater confidence in their ability to explain genetic test results than those who had been practising for over 20 years [22]. HCPs’ knowledge and confidence in their ability to provide appropriate information is important, as it may influence referring behaviour [23]. However, there is little recent research investigating UK HCPs’ knowledge of cancer genetics or confidence in assessing cancer risk and discussing genetic testing with patients.
While HCPs acknowledge that genetic testing can help identify those at risk of potentially life-threatening diseases, personalise interventions, indicate when to offer screening and increase the ability to prevent certain cancers [15, 18, 24], several barriers have been identified [25, 26]. These include lack of time and clear referral and management guidelines [22, 24], as well as lack of clarity about what an abnormal genetic test result might mean for an individual patient’s cancer risk [25, 27]. Understandably, physicians have expressed apprehension about discussing genetic risk with patients if an effective treatment or intervention is not available [15, 28]. There is concern that adverse genetic test results might have a negative impact on patients’ psychological well-being [17, 22, 25]. Furthermore, both HCPs and patients have concerns about potential discrimination from insurers or employers following a genetic test result indicating increased disease risk [25, 27, 29].
This study aimed to investigate UK HCPs’ knowledge of ovarian cancer genetics and other risk factors, as well as self-efficacy (belief in one’s own ability to successfully complete a task [30]) in discussing cancer risk and genetic testing with patients, in order to identify professional training needs. Attitudes towards population-based genetic testing and stratified risk management strategies for ovarian cancer were also explored.
Methods
An anonymous cross-sectional online survey was developed using the software Opinio as an effective method of reaching a convenience sample of HCPs [31]. This type of non-probability sampling involves drawing the sample from a readily available and convenient source of HCPs via groups and networks to which we had easy access. These included: British Gynaecological Cancer Society, National Forum of Gynaecological Oncology Nurses; the UK Cancer Genetics Group; Cancer, General Practice and Genetics Clinical Research Networks, The Royal College of General Practitioners; and the National Cancer Research Institute. We also recruited participants by ‘snowballing’ using a list of researcher contacts. Potential participants received an invitation from their professional organisation either by email with a link to the online survey, or by a similarly worded advertisement in a web-based professional news update. Some organisations sent a reminder email or advertisement with a link to the survey approximately 1 month after the initial invitation. Participants were eligible if they self-identified as a HCP based in the UK and the survey had relevance to their practice. HCPs who voluntarily accessed the survey, and completed and submitted it, did so in the knowledge that they were thereby giving consent for their anonymous responses to be included in the study. The participant information preface to the online survey explained these steps in the consent process and stated that since data was anonymous formal verbal or written consent was not required. The study was approved by UCL research ethics committee (project ID: 8053/002) and was open to participants for 3 months from March 2016.
The survey items were generated with reference to the literature on HCPs’ knowledge of and attitudes towards genetic testing and were refined by the multidisciplinary research team. A pilot was carried out in a sample of 6 HCPs and adjustments were made to the structure and order of questions based on this pilot. Participants were briefed about the PROMISE research programme to establish the context for this study, and questions were framed in relation to population-based genetic testing and risk stratification for women. (See Additional file 1 for the full survey and information provided to participants.)
Knowledge of ovarian cancer and genetics was measured using five True/False/Not sure questions and three multiple choice questions about the risk of ovarian cancer within (1) the general population and (2) those with a BRCA1 or BRCA2 mutation. Correctly answered questions were added to give a score of 0–8. The measure had adequate internal reliability (α = .691).
Seven items were included to assess HCPs’ self-efficacy in conducting a clinical cancer risk consultation. A four-point Likert-style response was used including the options “not at all confident”, “somewhat confident”, “quite confident” and “very confident”. Scores were produced by calculating the average of the 7 items to give a score between 1 and 4, where a higher score indicates higher levels of self-efficacy. The internal reliability was high for this measure (α = .936).
HCPs’ attitudes (perceived benefits and risks) towards hypothetical population-based genetic testing for ovarian cancer risk were measured with 7 items. Beliefs about risk stratification levels were explored with 3 items in which participants were asked to indicate the level of lifetime ovarian cancer risk (as a percentage) that you think is ‘low/intermediate/high risk’. Attitudes (perceived benefits and risks) towards risk stratification were measured with nine items after presenting the actual risk levels/thresholds set for the PROMISE feasibility study (low risk = 0 to 4.9% risk, intermediate risk = 5 to 9.9% risk, high risk = ≥10% risk). Three items were used to establish participants’ self-efficacy in communicating the stratified levels of risk. All attitude items used a 5-point Likert-style response scale to measure the extent to which participants agreed with each statement (strongly disagree to strongly agree).
HCPs’ willingness to tailor patient management according to risk was measured with 5 items, after presenting participants with the recommended management options from the PROMISE feasibility study. A 4-point Likert-style response was provided for participants to indicate their willingness (“yes, definitely” to “no, definitely not”). Participants were also presented with optional open-ended questions requesting further information on their reasons for their decisions.
Background and demographic information was collected on participants’ gender, age, ethnicity, current post, clinical setting, years in post and year of graduation. Further questions were used to elicit: whether they had learnt about genetic cancer risk during their training; how often they were involved in any aspect of assessing risk for ovarian and/or breast cancer; and whether they or any of their close relatives had been diagnosed with, or had had a risk assessment for, ovarian cancer or another cancer.
Frequencies were calculated for each item. Comparisons were made between completers’ and non-completers’ knowledge and self-efficacy scores using non-parametric Mann Whitney tests.
Participants were grouped by specialism: oncologists (including medical, clinical and gynaecological oncologists and oncology surgeons), cancer genetics clinicians (including clinical geneticists and genetic counsellors), General Practitioners (GPs) and gynaecologists. There were too few participants who self-identified as nurse specialists or ‘other’ to include in statistical comparisons. Differences between the groups of HCPs regarding relevant knowledge and self-efficacy to conduct a risk consultation were explored with Kruskal-Wallis tests and pairwise comparisons. Fisher’s exact tests compared HCPs’ willingness to offer genetic testing for ovarian cancer risk to all adult female patients after response categories were collapsed into three: agree/strongly agree, neutral, and disagree/strongly disagree. Bonferroni corrections were made for multiple testing. All statistical analyses were carried out using SPSS version 22.
Inductive content analysis [32] was performed on the free text responses to open-ended questions concerning participants’ willingness to discuss risk-management strategies with patients. Analysis was conducted by two researchers who independently read and made notes alongside the data (KH & MF). Themes were identified and a coding manual was produced. One researcher coded all data (KH), and the second researcher independently coded 10% of the data (MF). A Cohen’s κ calculation indicated that agreement in coding between the two researchers was substantial (according to Landis and Koch [33]), κ = .744 (95% CI = .689 to .862), p < .001. Ambiguous responses such as ‘as before’ or ‘as previous answer’ were not included in the analysis.
Results
Sample characteristics
In total, 253 potential participants opened the survey link and 149 (58.9%) completed the survey. Of the 149 participants who completed the survey, 3 were ineligible as it was unclear if they were registered HCPs, producing a final sample size of 146 participants. Table 1 shows the demographic characteristics of the participants. The majority of participants indicated they had learnt about inherited cancer risk during training, and over half were often involved in the referral or another part of the process of assessing risk for ovarian and/or breast cancer.
Table 1.
Participant characteristics (n = 146)
| N (%) | |
|---|---|
| Mean age (SD) | 45.4 (8.8) |
| Gender | |
| Male | 45 (30.8) |
| Female | 99 (67.8) |
| Prefer not to say | 2 (1.4) |
| Ethnicity | |
| White | 122 (83.6) |
| Asian | 11 (7.5) |
| Black | 1 (0.7) |
| Mixed | 2 (1.4) |
| Other | 2 (1.4) |
| Prefer not to say | 8 (5.5) |
| Current post | |
| General Practitioner | 32 (21.9) |
| Genetics Specialist | 44 (30.1) |
| Oncologist | 45 (30.8) |
| Gynaecologist | 15 (10.3) |
| Nurse specialist | 6 (4.1) |
| Other | 4 (2.7) |
| Years in post, Mean (SD) | 11.7 (8.2) |
| Learnt about inherited cancer risk during training (yes) | 108 (74.0) |
| Involvement in referral or any part of the process of assessing risk for ovarian and/or breast cancer risk | |
| Often | 86 (58.9) |
| Sometimes | 43 (29.5) |
| Rarely | 15 (10.3) |
| Never | 2 (1.4) |
| Personal or close family member with cancer diagnosis (yes) | 52 (35.6) |
| Personal or close family had a cancer risk assessment (yes) | 24 (16.4) |
Comparing survey completers and non-completers
It was not possible to calculate a response rate, as the number of potential participants that the survey invite reached was not known due to our non-probability sampling techniques including ‘snowballing’ where existing study participants recruit others by referring the study on within their professional network. However, we were able to compare key outcomes between HCPs who completed vs. did not complete the survey. Fifty-five individuals completed the self-efficacy questions and 32 completed the knowledge questions but did not complete the entire survey. The median score for perceived self-efficacy in conducting a cancer risk consultation was significantly higher among those who completed the survey (Mdn = 3.2, IR = 1.0) than those who did not (Mdn = 3.0, IR = 1.0), U = 4760.0, z = 2.035, p = .042, r = .14. Knowledge of ovarian cancer and genetics was also significantly higher among survey completers (Mdn = 7.0, IR = 3.00) than non-completers (Mdn = 5.0, IR = 3.75), U = 3361.5, z = 3.719, p < .001, r = 0.28.
Self-efficacy in conducting a cancer risk consultation
Table 2 presents participants’ responses to each item measuring self-efficacy. The majority reported feeling ‘quite confident’ or ‘very confident’ in their abilities across all aspects of the consultation. The median score for the sample was 3.2 (IR = 1.0) out of 4, indicating quite high levels of self-efficacy.
Table 2.
Self-efficacy in conducting a cancer risk consultation (n = 146)
| Not at all confident N (%) | Not very confident N (%) | Quite confident N (%) | Very confident N (%) | |
|---|---|---|---|---|
| Initiate talking to patients about genetic testing for OC. | 2 (1.4) | 17 (11.6) | 52 (35.6) | 75 (51.4) |
| Record relevant information on a patient’s family history of cancer. | 0 | 8 (5.5) | 55 (37.7) | 83 (56.8) |
| Respond to patients’ questions about OC risk based on family history. | 4 (2.7) | 30 (20.5) | 60 (41.1) | 52 (35.6) |
| Respond to patients’ questions about genetic testing for OC risk. | 5 (3.4) | 28 (19.2) | 58 (39.7) | 55 (37.7) |
| Explain lifetime cancer risk to patients. | 5 (3.4) | 36 (24.7) | 50 (34.2) | 55 (37.7) |
| Explain age-related cancer risk to patients. | 4 (2.7) | 32 (21.9) | 69 (47.3) | 41 (28.1) |
| Provide support to patients going through cancer risk assessment based on family history and genetic testing. | 5 (3.4) | 27 (18.5) | 64 (43.8) | 50 (34.2) |
Significant differences in self-efficacy scores were found between oncologists, genetics specialists, GPs and gynaecologists, H(3) = 84.273, p < .001. GPs (Mdn = 2.4) had significantly lower scores than genetics specialists (Mdn = 3.9, p < .001, r = 1.05), oncologists (Mdn = 3.3, p < .001, r = 0.60) and gynaecologists (Mdn = 3.1, p < .001, r = 0.59). Genetics specialists had significantly higher self-efficacy scores than oncologists (p < .001, r = −0.46) and gynaecologists (p = .024, r = 0.37). No significant differences were found between gynaecologists’ and oncologists’ self-efficacy scores (p > .05). (See Supplementary File 2, Table S1.)
Knowledge of ovarian cancer and genetics
Table 3 shows the number of correct responses to each of the knowledge questions for the whole sample and by HCP group. The median score for the whole sample was 7 (IR = 3.0) out of 8, indicating a high overall level of knowledge. Questions on the approximate risk of ovarian cancer in women with a BRCA1 or BRCA2 mutation were most frequently answered incorrectly.
Table 3.
HCP ovarian cancer and genetics knowledge (n = 146)
| Total (n = 146) | GP (n = 32) | Genetics (n = 44) | Oncologists (n = 45) | Gynaecology (n = 15) | Nurse & other (n = 10) | |
|---|---|---|---|---|---|---|
| Correctly answered, N (%) | ||||||
| A smear test is not designed to detect ovarian cancer (True) | 143 (97.9) | 32 (100.0) | 43 (97.7) | 44 (97.8) | 15 (100) | 9 (90.0) |
| Taking the contraceptive pill can increase a woman’s risk of developing ovarian cancer (False) | 134 (91.8) | 24 (75.0) | 43 (97.7) | 42 (93.3) | 15 (100) | 10 (100.0) |
| The majority of cases of ovarian cancer are caused by an inherited genetic mutation (False) | 123 (84.2) | 13 (40.6) | 43 (97.7) | 44 (97.8) | 15 (100) | 8 (80.0) |
| Paternal family history of cancer is as important as maternal family history of cancer when considering a patient’s risk of ovarian cancer (True) | 108 (74.0) | 10 (31.3) | 42 (95.5) | 37 (82.2) | 10 (66.7) | 9 (90.0) |
| A genetic test result that shows a patient has a variant of uncertain significance (VUS) indicates that the patient does not have an increased risk for ovarian cancer (False) | 111 (76.0) | 15 (46.9) | 41 (93.2) | 32 (71.1) | 13 (86.7) | 10 (100.0) |
| The average risk of a women developing ovarian cancer in her lifetime is approximately (2%) | 115 (78.8) | 13 (40.6) | 44 (100) | 37 (82.2) | 14 (93.3) | 7 (70.0) |
| The risk of a woman with a BRCA1 mutation developing ovarian cancer in her lifetime is approximately (30–60%) | 102 (69.9) | 13 (40.6) | 40 (90.9) | 32 (71.1) | 11 (73.3) | 6 (60.0) |
| The risk of a woman with a BRCA2 mutation developing ovarian cancer in her lifetime is approximately (10–30%) | 91 (62.3) | 8 (25.0) | 36 (81.8) | 29 (64.4) | 10 (66.7) | 8 (80.0) |
When comparing the knowledge scores of GPs, genetics clinicians, gynaecologists and oncologists (n = 136), significant differences were found, H(3) = 73.233, p < .001. GPs (Mdn = 4.0) scored significantly lower than genetics clinicians (Mdn = 8.0, p < .001, r = 0.97), oncologists (Mdn = 7.0, p < .001, r = 0.61) and gynaecologists (Mdn = 7.0, p < .001, r = 0.69). It appears that while the majority of GPs correctly answered 2 non-genetic questions, far fewer correctly answered the genetics questions. Genetics clinicians also scored significantly higher than oncologists (p = .004, r = −0.36). No significant differences were found between gynaecologists and oncologists, or gynaecologists and genetics clinicians, although for the latter comparison this may be due to limited power (see Supplementary File 2, Table S1).
Attitudes (perceived benefits and risks) towards hypothetical population-based genetic testing for ovarian cancer risk
Table 4 shows participants’ attitudes toward population-based genetic testing for ovarian cancer risk. Most HCPs agreed or strongly agreed that genetic testing would help identify those with a high risk of ovarian cancer. Participants were also in agreement that this would help patients make good healthcare decisions about managing their ovarian cancer risk. Less than 50% agreed that explaining genetic testing to patients would be too time consuming. However, the majority of participants believed that genetic testing could have a negative impact on some patients. In addition, responses were mixed with regard to whether participants were concerned that their patients would be discriminated against by insurers, and whether population-based genetic testing could be cost effective.
Table 4.
Responses to items measuring attitudes towards population-based genetic testing for ovarian cancer risk (n = 146)
| Strongly disagree N (%) | Disagree N (%) | Neither N (%) | Agree N (%) | Strongly agree N (%) | |
|---|---|---|---|---|---|
| It would help identify those with a high risk of ovarian cancer. | 0 | 10 (6.8) | 17 (11.6) | 104 (71.2) | 15 (10.3) |
| My patients could be discriminated against by insurers due to genetic testing results. | 7 (4.8) | 38 (26.0) | 34 (23.3) | 63 (43.2) | 4 (2.7) |
| It could be cost effective in the long term. | 1 (0.7) | 27 (18.5) | 50 (34.2) | 57 (39.0) | 11 (7.5) |
| Explaining genetic testing to patients would be too time consuming. | 14 (9.6) | 65 (44.5) | 32 (21.9) | 32 (21.9) | 3 (2.1) |
| It would help patients make good healthcare decisions about managing risk. | 1 (0.7) | 13 (8.9) | 23 (15.8) | 99 (67.8) | 10 (6.8) |
| It could have a negative impact on some of my patients. | 1 (0.7) | 16 (11.0) | 21 (14.4) | 94 (64.4) | 14 (9.6) |
| Willingness to offer population-based genetic testing | |||||
| I would be willing to offer all my adult female patients genetic testing for OC risk. | 8 (5.5) | 33 (22.6) | 35 (24.0) | 53 (36.3) | 17 (11.6) |
Willingness to offer population-based genetic testing
Just under half (47.9%) of the HCPs surveyed indicated that they would be willing to offer all their adult female patients genetic testing for ovarian cancer risk. A significant difference was found between oncologists, genetics clinicians, GPs and gynaecologists responses to this item, F(6) = 42.204, p < .001 (see Additional file 2 Table S2). Compared to genetics clinicians (18.2%), significantly more oncologists (68.9%) and GPs (50.0%) agreed with the statement ‘I would be willing to offer all my adult female patients genetic testing for ovarian cancer risk’. No significant difference was found between groups for the neutral response to this item. These results suggest that genetics clinicians were the least willing to offer genetic testing for ovarian cancer risk to all their adult female patients.
Beliefs about ovarian cancer low, intermediate and high risk boundaries
Participants gave a variety of responses when asked to indicate what they thought the boundaries for ‘low risk’, ‘intermediate risk’ and ‘high risk’ for ovarian cancer are. The mode upper boundary for ‘low risk’ of ovarian cancer was 5% risk, however this response was only given by 37.7% of the sample and responses ranged from as low as 0% to 10%. The mode lower boundary for ‘high risk’ of ovarian cancer was 10% risk, which was the response of 39.0% of the sample, responses ranged widely from 5% up to 70%. The most frequently referred to boundaries for ‘intermediate risk’ was 5–10% risk, and responses ranged from 1 to 2% to 30–50% risk. The results indicate that the majority of participants’ perceptions of risk were not in-line with the clinically-informed boundaries adopted for the PROMISE feasibility study.
Attitudes (perceived benefits and risks) towards risk stratification for ovarian cancer
Table 5 shows participants’ attitudes towards risk stratification for ovarian cancer. While the majority agreed that risk stratification for ovarian cancer would help identify those most in need of screening, approximately 80% also agreed that it would lead to ovarian cancer being missed in some patients.
Table 5.
Responses to items measuring attitudes towards risk stratification (RS) for ovarian cancer (n = 146)
| Strongly disagree N (%) | Disagree N (%) | Neither N (%) | Agree N (%) | Strongly agree N (%) | |
|---|---|---|---|---|---|
| RS would help identify those most in need of screening for ovarian cancer. | 1 (0.7) | 7 (4.8) | 7 (4.8) | 115 (78.8) | 16 (11.0) |
| RS would lead to ovarian cancer being missed in some patients. | 0 | 9 (6.2) | 20 (13.7) | 112 (76.7) | 5 (3.4) |
| RS would give patients a sense of control over their health. | 0 | 5 (3.4) | 48 (32.9) | 88 (60.3) | 5 (3.4) |
| RS for ovarian cancer would make patients feel fatalistic about their health | 2 (1.4) | 57 (39.0) | 77 (52.7) | 10 (6.8) | 0 |
| Stratification into low risk would give a false sense of security. | 2 (1.4) | 38 (26.0) | 40 (27.4) | 65 (44.5) | 1 (0.7) |
| Stratification into a low risk group would be reassuring. | 0 | 13 (8.9) | 28 (19.2) | 104 (71.2) | 1 (0.7) |
| Stratification into a group at high risk would have a negative impact on well being | 1 (0.7) | 31 (21.2) | 51 (34.9) | 59 (40.4) | 4 (2.7) |
| Stratification into a group at intermediate risk would have a negative impact on well being | 2 (1.4) | 28 (19.2) | 66 (45.2) | 49 (33.6) | 1 (0.7) |
| Stratification into a group at low risk would have a negative impact on well being | 9 (6.2) | 104 (71.2) | 29 (19.9) | 4 (2.7) | 0 |
| Risk stratification consultation (communication) self-efficacy. | |||||
| I am confident I could explain what ‘low risk’ means to patients in that group | 0 | 7 (4.8) | 10 (6.8) | 97 (66.4) | 32 (21.9) |
| I am confident I could explain what ‘intermediate risk’ means to patients in that group | 0 | 9 (6.2) | 15 (10.3) | 93 (63.7) | 29 (19.9) |
| I am confident I could explain what ‘high risk’ means to patients in that group | 0 | 6 (4.1) | 12 (8.2) | 94 (64.4) | 34 (23.3) |
Participants had mixed views on how patients would react to being stratified by risk. Over 60% of the sample indicated that risk stratification would give patients a sense of control. Only 6.7% of participants believed risk stratification would cause patients to feel fatalistic about their health, although 53% were unsure. Most participants agreed that patients would feel reassured if stratified into a low risk group; fewer than half indicated that this would give patients a false sense of security. Fewer than half believed that being stratified into a high risk group or an intermediate risk group would have a negative impact on patients’ emotional well-being.
Most participants indicated that they would feel confident in explaining what ‘low risk’ (88.3% agreed/strongly agreed), ‘intermediate risk’ (83.6% agreed/strongly agreed) and ‘high risk’ means to patients (87.7% agreed/strongly agreed) (after they had been informed of the risk boundaries as set for the PROMISE feasibility study; see Supplementary File 1).
Willingness to tailor patient management according to risk stratification based recommendations: Closed-ended questions
The majority of participants reported that they would be willing (probably or definitely) to discuss the suggested stratified interventions: 88.3% were willing to discuss information with those at low risk, 85.0% and 82.2% were willing to discuss screening (CA125 blood test every 4 months and an annual ultrasound scan) with patients at intermediate and high risk respectively, and 84.3% and 90.4% were willing to discuss surgery with intermediate and high risk patients respectively (see Additional file file 2: Table S3).
Reasons for being willing/not willing to tailor patient management according to risk stratification-based recommendations: Open-ended questions
The optional free-text responses giving reasons for willingness to discuss the various interventions were approximately one or two sentences in length and were provided initially by 121 participants. Frequently reported reasons for being unwilling to discuss information with low risk patients were practical, such as lack of time and resources. Reticence about discussing screening with patients was mostly because it has not yet been shown to be effective, while reluctance to discuss surgery was due to some HCPs not considering this to be part of their job.
The most frequently given reasons for willingness to discuss symptom awareness and providing lifestyle advice was that this capitalised on a health promotion opportunity and would be useful for patients. Willingness to discuss screening was often described as being part of their job and they already offered similar tests to patients. Willingness to discuss surgery with patients was underpinned by the belief that it would benefit patients by reducing risk and preventing ovarian cancer. Several participants gave ‘conditional’ responses, for example they would discuss screening with patients if evidence proved its effectiveness or they would discuss surgery depending on patient characteristics such as age. See Additional file file 2: Tables S4 and S5 for a full list of the themes identified from participants’ responses, supporting quotes, and the number of times these themes appeared.
Discussion
This study examined UK HCPs’ knowledge of ovarian cancer and genetics, their self-efficacy in conducting a cancer risk consultation, and their attitudes towards a programme using population-based genetic testing and risk stratified management for ovarian cancer. Survey responses reflected what the practitioners anticipated they would do in specific situations, not their actual practices. Overall, participants’ knowledge of ovarian cancer and related genetics was high and this was reflected in clinicians’ belief that they could effectively conduct a cancer risk consultation. However, substantial differences in knowledge were identified between the various specialists, with lower scores for GPs. This pattern of results is consistent with previous research in Europe and the US indicating lower knowledge of genetics among primary HCPs compared to more specialised HCPs [15, 19, 20]. The GPs’ results are similar to an earlier report [14] that 56.9% of primary care physicians knew that the majority of ovarian cancer cases are sporadic and 34.5% knew that maternal history was not more important than paternal history when considering cancers that mostly affect women, compared to 40.6and 31.3% of GPs in the current study. Significant differences between HCP disciplines were also identified regarding self-efficacy to conduct a cancer risk consultation, and GPs were again found to have lower scores. Despite this, the results indicate that the majority of participants were at least “quite confident” in their ability to record relevant information on patients’ family history of cancer, an improvement on findings from earlier research on recording family histories of disease [17, 28].
These results are perhaps unsurprising since GPs deal with a wide variety of health conditions, whilst genetics clinicians, oncologists, and gynaecologists have specialist training in genetics and/or cancer. Nonetheless, the findings highlight the need to improve GPs’ knowledge of ovarian cancer genetics and self-efficacy in discussing genetics and risk with patients for the successful introduction of population-based genetic testing for ovarian cancer risk in the UK. If genetic testing were offered clinically on a population basis it would be important for those found to be carrying a BRCA gene mutation or with a strong family history of cancer to receive counselling by genetics specialists. The service delivery model will need to be worked out, but primary care providers may well be responsible for ensuring patients from the general population (without a cancer diagnosis) make an informed decision about undergoing genetic testing, and in the ensuing risk assessment and stratification processes. HCPs including GPs will need to have a broad understanding of genetics and cancer, be able to record patient family history and lifestyle factors, use risk tools, interpret risk and communicate risk in a jargon-free manner. Furthermore, they will need to be aware of and able to manage patient anxieties and offer appropriate risk management options [34].
In parallel with improving the skills and knowledge of non-genetics clinicians and due to time pressures, tools such as decision aids could be useful for helping patients reach informed decisions about whether to have a cancer risk assessment and their risk management options. Decision aids (e.g. leaflets, websites) can increase patient knowledge about treatment options and can be more effective than usual care (such as having an appointment with a HCP alone) [35, 36]. Decision aids, which provide information and help patients to consider their personal values in relation to a health decision, can also help manage expectations and reduce decisional conflict [35].
Attitudes towards population-based genetic testing for ovarian cancer risk were mixed in the present study. While the majority of HCPs acknowledged the potential benefits for patients, several felt that genetic testing could negatively impact some patients and nearly half believed patients could be discriminated against by insurers based on test results; these findings are in line with previous research, although to a lesser extent [27, 37]. Since 2001, the Concordat and Moratorium (in place until November 2019) [38] has protected the interests of insurers and patients in the UK. These agreements, put together by the Government and the Association of British Insurers, stipulate that patients who have undergone predictive genetic testing do not have to reveal test results to insurers unless applying for life insurance over £500,000 or testing for Huntington’s disease. It is possible that HCPs are not aware of this agreement or that they anticipate that in the future it will change and potentially no longer provide the same protection to patients.
Importantly, fewer than half of the HCPs surveyed agreed that they ‘would be willing to offer all my adult patients genetic testing for ovarian cancer risk’. Of particular note is that, only 18% of genetics specialists agreed with this statement. Their reservations about testing may be because their professional knowledge makes them acutely aware that genetic tests may generate variants of unknown significance (VUS). A VUS is a change in the gene sequence where any association with an increased cancer risk is unclear or unknown. It is estimated that around 1 in 20 of BRCA1 and BRCA2 full screens in UK regional genetics laboratories will result in a VUS being identified [39]. Given that the chance of identifying a pathogenic mutation in full BRCA1 and BRCA 2 screening in the UK population is around 1 in 400, it is more likely that a VUS will be found if population testing is adopted [40]. Whilst international efforts to better characterise VUSs will likely result in the VUS rate decreasing in BRCA1 and BRCA2, this is likely to take longer for other, less well characterised, genes such as RAD51 C and D and BRIP1. Here the VUS rate may remain significant, making advice to families difficult. The other concern for geneticists is that mutations identified on a population rather than family history basis, may have lower penetrance. Again, this raises difficulties in quantifying ovarian cancer risk and for subsequent management advice. For example, the BRCA1 R1699Q variant [41] appears to be a low-moderate penetrance BRCA1 mutation, necessitating different risk management advice. Geneticists may also be more cautious because of the possibility of unintentionally identifying gene changes that increase the risk of diseases other than ovarian cancer. These incidental findings can arise as a result of the technologies used in population based panel testing. Furthermore, compared to many other HCPs, geneticists care for families rather than individuals and are cognizant of the implications of genetic test results for family members, as well as for the patient. Traditionally, genetic counselling has been attuned to the psychosocial as well as medical aspects of a patient’s care, and there is an awareness of the potential adverse psychological outcomes in patients who have a “bad news” predictive genetic test result [42, 43].
Increasingly, genetic testing is offered within gynae-oncology services to ovarian cancer patients with high-grade non-mucinous ovarian cancer, irrespective of their family history of cancer. Evidence suggests that this ‘mainstream’ approach is effective at identifying gene carriers who would not otherwise have been tested [44]. The willingness amongst oncologists to offer population-based genetic testing to all adult female patients may reflect the move towards mainstreaming BRCA1/2 genetic testing within ovarian cancer care. Further work is needed to clarify the factors influencing UK HCPs’ willingness to offer population-based genetic testing.
Attitudes towards risk stratification for ovarian cancer were also mixed, though generally positive. Most participants agreed that risk stratification would help identify those most in need of screening and would give patients a sense of control over their health. They disagreed that risk stratification would make patients feel fatalistic about their health and over half did not agree that stratification into a low risk group would give patients a false sense of security, which accords with the views of women in previous studies [45]. Our finding that fewer than half of the HCPs believed that stratification into a high or intermediate risk group would have a negative impact on patients’ well-being may reflect awareness that patients who undergo genetic testing for cancer risk do not tend to experience adverse psychological consequences in the long-term [46].
Whilst most participants’ perceptions of low, intermediate and high risk boundaries were found to initially not be in line with those set by the PROMISE feasibility study, after revealing these boundaries the majority of HCPs surveyed reported that they would be confident in explaining what low, intermediate and high risk meant to patients in those groups. Although other research has found that oncologists and surgeons feel confident in reporting risk to patients [47], Nippert et al. [4] report in their European survey that most UK based GPs felt genetic specialists should explain genetic test results to patients. The communication of a health risk to patients with low health literacy or poor numerical skills can be particularly difficult [48].
The majority of participants indicated that, if population based risk assessment and stratification were offered, they would be willing to discuss symptom awareness and lifestyle advice with low risk patients, and screening and surgery with intermediate and high risk patients. Some identified a need for training and guidance. Willingness to discuss screening tests (CA125 blood tests and scans of the ovaries) with intermediate and high risk patients may reflect familiarity with their use as diagnostic tests for ovarian cancer. Some participants indicated they would not be willing to discuss ovarian cancer screening because it has not been shown to save lives, whereas others indicated willingness to discuss it on the condition that it is proven to be effective. These findings are unsurprising considering the publication of mortality results from the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) just a few months prior to the survey going live. Results from the randomised-controlled trial indicated that ovarian cancer screening using CA125 (interpreted with the ROCA) and ultrasound scans in a general population sample of post-menopausal women show high sensitivity, specificity, acceptability, and compliance, but at initial reporting the mortality impact did not reach statistical significance [2]. Recent results from the second phase of the UKFOCSS [13] were not available at the time of the survey and therefore will not have influenced the views of our survey participants. This trial found that ROCA-based screening for ovarian cancer of women at high risk (≥10% risk) was highly sensitive and resulted in a stage shift, indicating that it could be provided as an option to women who are not yet ready to undergo prophylactic surgery. However, the mortality impact could not be assessed as this was not a randomised trial with a control arm.
Recent studies suggest that risk-reducing bilateral salpingo-oophorectomy (RRSO) would be cost effective in postmenopausal women at ≥5% risk and premenopausal women over 40 years of age at ≥4% risk [49, 50]. Current UK practice is that women with a lifetime risk for ovarian cancer ≥10%, who have completed childbearing can be offered RRSO between age 35–40 years [51]. Interestingly, the majority of HCPs in the current study indicated that they would be willing to discuss RRSO with women at ‘intermediate risk’ of ovarian cancer (5–9.9% risk), although some explained that this discussion would be dependent on characteristics of the patient (e.g. age) or medical guidelines. Current guidelines [52, 53] indicate that RRSO may be considered for women who carry mutations in intermediate risk genes e.g. RAD51 and BRIP1 between age 45–50 or earlier. Only two participants indicated they would not be willing to discuss surgery with women at ‘intermediate risk’ as they felt RRSO was only appropriate for high risk women. However, the results reflect what HCPs anticipate they would do in a hypothetical scenario, rather than their actual actions or current practice. Further work is needed to tease out HCPs views of RRSO in women with a lower than 10% risk of ovarian cancer, as willingness to discuss RRSO with ‘intermediate risk’ patients may reflect a lack of knowledge of the current conditions under which RRSO is offered. This is particularly pertinent for genes such as RAD51 and BRIP1, where the risk may be 5–10%.
The small sample size of this survey study restricted the inter group comparisons and the ability to control for confounding factors. Comparisons could not be made on the demographics of those who completed and did not complete the survey (those who did not complete the survey did not answer the demographic questions). Due to the small sample size and because participants were active members of professional organisations, our findings may not extend to the wider HCP community. Our participants are likely to have better knowledge of, interest in, and professional experience with ovarian cancer and genetics. Furthermore, as the study was conducted with HCPs in the UK the results cannot be generalised to HCPs working in other countries where healthcare systems and genetic services are different. Finally, due to the methods of recruitment used it was not possible to calculate a response rate for this study. Despite these limitations, significant differences were detected between the different HCP groups, and fewer than half the participants stated that they would be willing to offer all female patients genetic testing for ovarian cancer risk, thus providing potentially important insights and testable hypotheses for future research.
Conclusion
To our knowledge, this is the first UK survey of HCPs’ attitudes towards a programme using population-based genetic testing and stratified interventions for ovarian cancer. It provides novel insights into the acceptability of such a programme. If risk assessment and stratified management are to be used more widely to help improve early detection of ovarian cancer, more research is needed to identify potential barriers to their provision by HCPs and training needs.
Additional files
Survey Questions (DOCX 44 kb)
Comparisons between healthcare specialists’ ovarian cancer and genetics knowledge and self-efficacy to conduct a cancer risk consultation. Table S2. Comparisons between healthcare specialists willingness to offer all adult female patients genetic testing for ovarian cancer risk. Table S3. Willingness to discuss risk stratified interventions with patients. Table S4. Reasons for lack of willingness to discuss suggested interventions. Table S5. Reasons for lack of willingness to discuss suggested interventions (DOCX 31 kb)
Acknowledgements
This work was carried out at UCLH/UCL within the Cancer Theme of the NIHR UCLH/UCL Comprehensive Biomedical Research Centre supported by the UK Department of Health for the PROMISE study team.
Funding
This work was supported by The Eve Appeal and Cancer Research UK (Grant Code: C1005/A12677). The funders had no role in the study design; collection, management, analysis, or interpretation of data; writing of the report; or the decision to submit the report for publication.
Availability of data and materials
All data analysed for this study are included in this published article and its Additional files.
Abbreviations
- GP
General Practitioner
- HCP
Health care professional
- NHS
National Health Service
- PROMISE
Predicting Risk of Ovarian Malignancies, Improving Screening and Early detection
- ROCA
Risk of Ovarian Cancer Algorithm
- UKCTOCS
UK Collaborative Trial of Ovarian Cancer Screening
- UKFOCSS
UK Familial Ovarian Cancer Screening Study
Authors’ contributions
IJ conceived the PROMISE programme which included the Health Behaviour workstream within which this study was delivered. IJ provided intellectual input by appraising results. AL led the multidisciplinary Health Behaviour workstream of the PROMISE programme and was the Principal Investigator for the survey, designing it and overseeing its development, delivery, analysis and presentation of results. KH distributed the survey to professional healthcare organisations and performed the quantitative data analysis. KH and MF analysed the qualitative responses to free text questions. The Health Behaviour workstream scientists: LF, LS, SG, JW, SS, MF and KH all contributed to the development of the survey, the analysis plan, and appraisal of results. KH drafted the manuscript. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The study was approved by the UCL research ethics committee (project ID: 8053/002). The data collected was anonymous, therefore formal consent was not required. HCPs who voluntarily accessed the survey, and completed and submitted it, did so in the knowledge that they were thereby giving consent for their anonymous responses to be included in the study. The participant information preface to the online survey explained these steps in the consent process and stated that since data was anonymous formal verbal or written consent was not required. The study was approved by UCL research ethics committee (project ID: 8053/002) and was open to participants for 3 months from March 2016.
Consent for publication
Not applicable.
Competing interests
As co-inventor of the ‘Risk of Ovarian Cancer Algorithm’ Ian Jacobs has a right to a royalty stream via MGH and QMUL which own the algorithm and is a Director of Abcodia Ltd. which has licensed the algorithm. The other authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Footnotes
Electronic supplementary material
The online version of this article (10.1186/s12905-017-0488-6) contains supplementary material, which is available to authorized users.
Contributor Information
Katie E. J. Hann, Email: k.hann@ucl.ac.uk
Lindsay Fraser, Email: l.fraser@ucl.ac.uk.
Lucy Side, Email: lucy.side@uhs.net, Email: l.side@ucl.ac.uk.
Sue Gessler, Email: s.gessler@ucl.ac.uk.
Jo Waller, Email: j.waller@ucl.ac.uk.
Saskia C. Sanderson, Email: saskia.sanderson@ucl.ac.uk
Madeleine Freeman, Email: maddie.freeman@ucl.ac.uk.
Ian Jacobs, Email: i.jacobs@unsw.edu.au.
Anne Lanceley, Phone: +4420 7679 6807, Email: a.lanceley@ucl.ac.uk.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Survey Questions (DOCX 44 kb)
Comparisons between healthcare specialists’ ovarian cancer and genetics knowledge and self-efficacy to conduct a cancer risk consultation. Table S2. Comparisons between healthcare specialists willingness to offer all adult female patients genetic testing for ovarian cancer risk. Table S3. Willingness to discuss risk stratified interventions with patients. Table S4. Reasons for lack of willingness to discuss suggested interventions. Table S5. Reasons for lack of willingness to discuss suggested interventions (DOCX 31 kb)
Data Availability Statement
All data analysed for this study are included in this published article and its Additional files.