Abstract
Background
Experts in gynecological cancer care recommend that all patients with invasive or high-grade ovarian cancer (OC) undergo genetic testing. However, even patients who intend to take or have taken genetic tests have many unaddressed information needs regarding genetic testing. Existing genetic counseling falls short of adequately addressing this challenge.
Objective
This study aims to investigate the genetic testing–related information needs of patients with OC to inform the design of interactive technology-based interventions that can enhance communication of genetic testing information to patients.
Methods
We interviewed 20 patients with OC who had taken genetic tests and gathered genetic testing–related messages from an active OC web-based community. The interview transcripts and web-based community messages were analyzed using the qualitative content analysis method.
Results
Data analyses produced a comprehensive taxonomy of the genetic testing–related information needs of patients with OC, which included five major topic clusters: knowledge of genetic testing as a medical test, genetic testing process, genetic testing implications for patients, implications for family members, and medical terminology. Findings indicated that patients wanted to receive information that was relevant, understandable, concise, usable, appropriate, sympathetic, and available when needed. They also preferred various channels to receive information, including internet-based technologies, print, and conversations with health care providers.
Conclusions
Patients with OC need a range of information to address the uncertainties and challenges that they encounter while taking genetic tests. Their preferences for channels to receive information vary widely. A multichannel information delivery solution that combines both provider-led and peer-to-peer education models is needed to supplement existing genetic counseling to effectively meet the genetic testing–related information needs of patients with OC.
Keywords: patient information needs, consumer health informatics, ovarian cancer, genetic testing, genetic counseling, mobile phone
Introduction
Ovarian cancer (OC) is the second most common gynecological cancer in the United States [1]. Nearly 25% of OC cases are due to hereditary cancer syndrome as a result of breast cancer gene mutations (BRCA1 and BRCA2) and Lynch syndrome [2,3]. The National Comprehensive Cancer Network and the Society of Gynecologic Oncology recommend that all patients with invasive or high-grade OC undergo genetic testing [4,5] as knowledge of gene mutations can inform targeted treatment [6] as well as cancer screening and prevention options for at-risk family members [7].
Nevertheless, the genetic test uptake rate among patients with OC falls short of expectations. For example, 2 studies reported that only 15% to 20% of all women diagnosed with OC underwent genetic testing for BRCA1 and BRCA2 [8,9]. Another more recent estimate of the testing rate among newly diagnosed patients with breast cancer and OC was 53% [10]. Although attention needs to be placed on promoting genetic testing uptake among patients with OC and their family members, there are unmet information needs among those who intend to take or have taken genetic tests that also need be addressed. For example, studies have reported that some patients with OC have never heard of BRCA1 and BRCA2, are unaware of the relevance of genetic testing for themselves and their families, or underestimate the actual risk of a hereditary link to their diagnoses [6,11,12]. Studies have also found that some patients with cancer and patients at risk for cancer had concerns about genetic testing–associated risks, such as insurance discrimination, privacy infringement, and emotional distress [11,13,14].
Communication of information concerning cancer genetics and genetic services to patients needs to be improved to address patients’ literacy gaps and risk concerns to enhance patient satisfaction and sense of empowerment. Some interventions have been conducted [15-19]; however, most have focused on exploring noninferior alternative genetic counseling delivery models (eg, group counseling) to the traditional one-on-one face-to-face model, paying little attention to the materials delivered. Analyses of genetic counseling sessions have revealed that genetic counseling communication is largely provider-driven, centering on providing biomedical information and failing to consider patients’ information, communication, and psychosocial needs [15,20-27]. Furthermore, most interventions were delivered through traditional information channels (eg, booklets and telephone) or basic interactive technologies (eg, videos) [19], missing the potential that interactive web-based technologies can offer. Thus, there is significant room for designing web-based interventions to address patients’ genetic testing–related knowledge gaps and concerns.
Designing effective technology-based interventions requires a thorough understanding of patient information needs [28,29]. We define patients’ information needs regarding genetic testing as knowledge gaps that patients perceive or experience as preventing them from accomplishing genetic testing–related activities or goals. These knowledge gaps may result from cognitive and affective uncertainties and may be a result of environmental (including institutional, cultural, and societal) constraints [30-33]. Information quality (IQ), defined as “users’ perception of the quality of information presented on a Web site” [34], has been identified as a significant information-related factor that precedes the formation of people’s trust in and intention to use information systems [35-37]. The fulfillment of information needs is not possible if IQ is low. Thus, we also explore patients’ expectations of the quality of genetic testing–related information. In addition, we explore patients’ preferences concerning information delivery to fulfill our aim to inform system design. The specific research questions are: (1) Which topics of information do patients with OC need to be informed about regarding genetic testing? (2) How do patients characterize their preferences for the quality of genetic testing–related information? (3) From which information channels, media, or platforms do patients prefer to receive genetic testing–related information?
Methods
Owing to limited research on this subject, we adopted a qualitative research design consisting of two methods: interviews and analyses of web-based community posts.
Interviews
Participant Recruitment
The participants were women who had been diagnosed with OC and had undergone genetic testing. Recruitment was performed in 3 ways. The first was a chart review by a clinical research assistant at the Dell Medical School at the University of Texas (UT). More than 30 eligible patients who received treatment from a physician in the LIVESTRONG Cancer Institutes at the school were contacted. Reasons for not participating included a lack of interest or energy, language barriers (non–English-speaking), and a lack of resources (car, computer, or webcam). Second, we posted email recruitment messages to the mailing list of the National Ovarian Cancer Coalition Austin and San Antonio Chapter. Third, we adopted word-of-mouth and snowballing recruitment strategies. Recruitment efforts using all 3 venues spanned the entire research process (data collection and analysis) and halted when a theoretical saturation of the data was observed. The data were deemed saturated when no new genetic testing–related information needs, IQ, or information delivery themes emerged from the data. A total of 20 patients with OC participated in the interviews, of which 8 (40%) were recruited through the chart review, 10 (50%) were recruited through the mailing list, and 2 (10%) were recruited through word-of-mouth.
Interview Design
The interview protocol had three components: a demographic questionnaire, a semistructured interview, and a co-design session. The guide for the interview and the co-design session is provided in Multimedia Appendix 1. The demographic questionnaire collected the participants’ background information, including demographics (eg, age, race, ethnicity, and education), cancer diagnoses, and genetic test results. In the semistructured interviews, the participants recalled their genetic testing process (from when they were prescribed the test to receiving the test results) and experience (including motivations, emotions, interactions with health care providers and family and friends, and challenges). They were also asked to describe their genetic testing–related information behaviors, including information needs, information sources, and information-seeking efforts.
In the co-design session, the participants reviewed and commented on a mockup website that offered genetic testing–related information while imagining that they were co-designing the website for patients such as themselves. They were also asked to describe any additional content that they thought should be included on the website, their expectations of IQ, and how they wanted genetic testing–related information to be presented and delivered to them. The co-design session was used because people sometimes experience difficulty in perceiving and articulating their information needs and preferences [38]—interactions with information sources may make some information needs and preferences for IQ and information delivery more visible [39]. Questions concerning IQ were framed based on a successful validation of the information system success model by DeLone and McLean [29], which identifies six IQ dimensions: availability, usability, understandability, relevance, format, and conciseness [40,41]. The initial mockup was paper-based, created based on a review of studies on the genetic testing–related information needs of patients with OC (Figure 1). The paper mockup was later developed into a digital mockup (Figure 2) based on ongoing analyses of the interviews. The content displayed on the mockups was drawn from trustworthy sources such as the National Cancer Institute and the Centers for Disease Control and Prevention.
The Interview Process
The interviews were conducted between February 2019 and October 2020. The first 6 participants (6/20, 30%) were interviewed in 5 face-to-face focus groups that took place in a private conference room at the UT campus. Each focus group consisted of 2 participants. A total of 2 participants (2/6, 33%) took part in 3 focus groups as we were not able to complete both the interviews and the co-design activities in 1 session. The other 4 patients (4/6, 67%) participated in 1 focus group session each. Upon arrival, researchers greeted the participants, gave them an introduction to the project, and asked them to review the consent form. The participants were encouraged to ask clarifying questions when needed. After providing consent, the participants completed the demographic questionnaire. They were then interviewed about their genetic testing process and experience as well as genetic testing–related information-seeking activities. The focus group interview format was adopted as it allows for interactions between participants with the goal of helping participants recall and elaborate on their genetic testing experience. The interviews were followed by the co-design session. Upon completion of the co-design session, the participants received a US $30 Amazon gift card.
Owing to the COVID-19 pandemic, the subsequent 13 interviews (13/20, 65%) were conducted one-on-one through the Zoom web conferencing platform, and 1 participant (1/20, 5%) was interviewed through emails. In these interviews, the participants completed the consent process and the background questionnaire on the web on Qualtrics (Qualtrics International Inc) before the interview. The Zoom interviews followed the same procedure as the focus groups. For the email interview, we sent the questions to the participant, and she responded with written answers. In total, 2 researchers (YZ and SY) reviewed and discussed the answers and then asked clarifying questions by commenting on the answers. She then replied to the clarifying questions. A total of 3 rounds of email correspondence took place. The URL of the digital mockup website and the questions that we asked in the co-design session were then emailed to the participant. She answered those questions. Similarly, we asked clarifying questions by replying to her answers.
The focus group and Zoom interviews lasted 40 minutes to 2 hours. Each interview was conducted by at least two researchers, audio-recorded, and later transcribed. The researchers held a 20- to 30-minute debriefing session after each interview to generate main themes related to the research questions and insights to inform the design of the digital mockup website.
Web-Based Forum Message Analysis
Social media platforms (eg, web-based health forums and social question and answer platforms) are sources for collecting authentic consumer health information needs [42]. Web-based posts are also considered an ecologically valid means of eliciting user needs for technological design [43]. We searched the OC community on the American Cancer Society’s Cancer Survivor Network (CSN) to identify genetic testing–related posts. The keywords used for the search included genetic testing, genetic counseling, BRCA, and DNA testing. The search identified 210 messages. We manually collected these messages, read them, and, of the 210 messages, we retained 25 (11.9%) that contained patients’ genetic testing–related information needs for analysis. These messages were posted by 25 unique IDs between December 2008 and June 2018. Excluded posts included answers to the questions posted, genetic testing resources, the patients’ own OC experiences, and family members’ concerns for themselves.
Data Analyses
The interview transcripts and CSN messages were analyzed using both inductive and deductive approaches to the qualitative content analysis method [43]. First, we imported the interview transcripts and web-based forum messages to MAXQDA 2018 (VITERBI Software GmbH), a qualitative data analysis software. Initially, YZ coded 5 interview transcripts deductively by following the definition of information needs (ie, knowledge gaps that patients perceive or experience as preventing them from accomplishing genetic testing–related activities or goals) and the IQ dimensions outlined in the study by Petter et al [41] (including availability, usability, understandability, relevance, format, and conciseness). An inductive approach was then applied to generate subcategories of genetic testing–related information needs, additional categories of IQ dimensions, and technological platforms for information delivery [44,45]. A codebook was developed to keep track of and explicate the coding system.
CT and SY applied the codebook to independently code 2 interview transcripts. The research team then held several collaborative coding sessions to discuss codes, paying special attention to reconciling codes to reduce overlap and redundancy between subcategories [45]. This effort resulted in a revised codebook. SY, CB, and YZ each revisited the codes that they had assigned to the transcripts by applying the new codebook. Each researcher then coded a subset of the remaining transcripts. SY coded the forum posts. All codes were validated by a different coder to enhance coding reliability, and disagreements were resolved based on discussions between all research team members.
Ethics Approval
The University of Texas at Austin Institutional Review Board approved the study.
Results
Interview Participants
Most participants were aged >40 years (19/20, 95%), White (16/20, 80%), non-Hispanic (13/20, 65%), and had a college or postgraduate degree (13/20, 65%; Table 1). Their cancer stage at diagnosis varied. Of the 20 participants, all of them (100%) had previously undergone germline genetic testing, and 6 (30%) had also undergone somatic genetic testing. Most of these tests (13/20, 65%) were conducted in the past 3 years (2018-2020). The test results varied.
Table 1.
Characteristics | Participants, n (%) | |
Age (years) | ||
|
<40 | 1 (5) |
|
40-49 | 6 (30) |
|
50-59 | 5 (25) |
|
60-69 | 6 (30) |
|
70-79 | 2 (10) |
Race or identity | ||
|
White | 16 (80) |
|
American Indian or Alaska Native | 1 (5) |
|
Mexican-American | 1 (5) |
|
Not reported | 2 (10) |
Ethnicity | ||
|
Hispanic or Latino | 7 (35) |
|
Non-Hispanic or Latino | 13 (65) |
Level of education | ||
|
<8 years | 1 (5) |
|
8-11 years | 1 (5) |
|
Post–high-school training other than college | 2 (10) |
|
Some college | 3 (15) |
|
College graduate | 7 (35) |
|
Postgraduate | 6 (30) |
Cancer stage when diagnosed | ||
|
1 | 3 (15) |
|
2 | 3 (15) |
|
3 | 6 (30) |
|
4 | 5 (25) |
|
Not reported | 3 (15) |
Year in which the most recent genetic test was takena | ||
|
2018-2020 | 13 (65) |
|
2015-2017 | 5 (25) |
|
2012-2014 | 2 (10) |
Test results | ||
|
Germline positive | 6 (30) |
|
Germline negative | 7 (35) |
|
Variants of uncertain significance | 1 (5) |
|
Germline negative and somatic positive | 1 (5) |
|
Germline and somatic negative | 5 (25) |
aAll 20 participants had taken a germline test, and 6 (30%) had also taken a somatic test.
Information Need Topics
Patients’ genetic testing–related information needs coalesced around five topic clusters: basic knowledge of genetic testing as a medical test, genetic testing process, implications of genetic testing for patients, implications for family members, and medical terminology.
Basic Knowledge of Genetic Testing as a Medical Test
The cluster of basic knowledge of genetic testing included two topic categories: basic features of genetic testing and standards and regulations (Table 2). Example questions were extracted from the data and rephrased for conciseness and clarity.
Table 2.
Category and subcategory | Example questions | |
Basic features of GT | ||
|
What is GT? |
|
|
What does GT do (ie, functions)? |
|
|
Benefits (why GT?) |
|
|
Risks |
|
Standards and regulations |
|
aIndicates that the example is from the interviews and co-design sessions.
bIndicates that the example is from the web-based community message analysis.
cOC: ovarian cancer.
dFDA: Food and Drug Administration.
Regarding genetic testing features, the patients wanted to know what genetic testing is, what it does, and its benefits and potential risks. In terms of standards and regulations, the patients wanted to learn who approves genetic testing, who is qualified to provide it and the providers’ qualifications, and relevant government standards and regulations.
Genetic Testing Process
This topic cluster included three topic categories: financial demands, taking the test, and obtaining results (Table 3).
Table 3.
Category and subcategory | Example questions or comments | |
Financial demands | ||
|
Cost |
|
|
Insurance coverage |
|
Taking a GT | ||
|
Who does GT? |
|
|
Procedure and test details |
|
Obtaining results | ||
|
Receiving GT results |
|
|
Genetic counseling |
|
aIndicates that the example is from the interviews and co-design sessions.
bIndicates that the example is from the web-based community message analysis.
cVUS: variants of uncertain significance.
Cost was often the patients’ first concern when considering taking genetic tests. As an interview participant put it, “cost was my first question.” They wanted to know whether their insurance covered the test and, if not, how much they must pay. In several cases, the participants did not have insurance, and third parties (eg, foundations) subsidized the cost. A few participants mentioned that they had considered not taking genetic tests if the cost was not covered by insurance or third parties.
Regarding taking the test, the patients wanted to know who recommends and orders genetic testing, who conducts genetic testing, the testing companies involved, and the laboratories that perform the test. They also wanted information about test procedures, including how it is done, whether a blood draw is needed, and whether it is painful.
Information about when and how they receive the test results and whether they can obtain a copy of the results was also needed. Some patients knew about genetic counseling and asked specifically about it, including when to receive genetic counseling and what questions to ask. Some patients hesitated to pursue genetic counseling and sought peers’ opinions (through web-based communities). Some patients were not aware of genetic counseling and wondered who could help interpret their genetic test results.
Implications of Genetic Testing for Patients
Overview
This topic cluster included five topic categories: cancer causes, clinical implications, genetic discrimination, lifestyle, and communication with family (Table 4).
Table 4.
Category and subcategory | Example questions or comments | ||
Cancer causes |
|
||
Clinical implications | |||
|
Treatment |
|
|
|
Preventative strategies to reduce cancer risks |
|
|
Genetic discrimination | |||
|
Insurance discrimination |
|
|
|
Employment discrimination |
|
|
Lifestyle |
|
||
Communication with family |
|
aIndicates that the example is from the interviews and co-design sessions.
bIndicates that the example is from the web-based community message analysis.
cBRCA: breast cancer gene.
Cancer Causes
The patients showed a great deal of interest in seeking answers to the following question—what has caused my cancer—in light of their genetic test results. When they had mutations related to breast cancer but not OC, they wanted explanations for why they had developed OC. When the genetic test results were negative, some patients questioned whether it was their lifestyle (eg, diet) that caused the cancer.
Clinical Implications
Questions concerning clinical implications mainly focused on 2 aspects. The first was how the results can inform treatment. Questions ranged from general inquiries about whether test results would affect the treatment to questions about specific therapies. For example, a patient posted the following on the CSN community:
Within the last couple of days there was new information about BRCA women who had ovarian cancer (I think BRCA2 not sure) and new chemotherapy available for that. Has anyone else who has ovarian cancer gone for BRCA testing? If so, what type of chemo did you get?
The second aspect was what preventative measures could be taken to reduce the risk of other cancers, mostly breast cancer. Questions ranged from general inquiries about what preventative measures are available to more specific inquiries about preventative surgeries (eg, prophylactic mastectomy). The following message from the CSN community is an example:
[Has] anyone had to undergo a prophylactic mastectomy to PREVENT breast cancer? I have tested positive on genetic testing after stage 3 ovarian cancer and now [doctors are recommending] the mastectomy. Have many questions!
Genetic Discrimination
Patients were concerned about who has access to their data, whether the data could be used to deny them health or life insurance or raise insurance costs, and whether there are laws to protect them from such discrimination. Worries about potential employment discrimination were also expressed.
Lifestyle
In relation to lifestyle, patients expressed a need to know how they can modify their lifestyle (eg, diet) to minimize risks incurred by genetic mutations and to manage treatments.
Communication With Family
As a patient’s post on the CSN community illustrated, “it is a horrible thing to have to tell your family members they [too] might [develop cancer].” Some patients expressed a need to gain knowledge about how and when to talk with family members about their genetic test results, particularly if the results were positive for a mutation.
Implications of Genetic Testing for Family Members
Overview
Patients’ information needs regarding genetic testing implications for family members focused on family members’ cancer risks and on concerns regarding insurance discrimination and emotional distress (Table 5).
Table 5.
Category and subcategory | Example questions or comments | |
Cancer risks | ||
|
GT screening |
|
Prevention and monitoring strategies |
|
|
Insurance discrimination |
|
|
Emotional distress |
|
aIndicates that the example is from the interviews and co-design sessions.
bIndicates that the example is from the web-based community message analysis.
Cancer Risks
Information concerning cancer screening for family members was a category of information needed. For example, an interview participant noted the following:
When my test returned as positive. I have only one concern. I worry about passing [the genes] to my kids.
She later added that “the next [question] is who should be tested?”
Some patients also wanted to be informed of cancer prevention and monitoring strategies (eg, surgeries) that family members can follow if their genetic test results are positive. For example, an interview participant said the following:
[My niece] had 3 children and she’s done having children. Her genetic makeup is kind of similar to ours, and probably that would be something she could have monitored easily and if she did carry that and was concerned, she could have her ovaries removed before she had any problem. I think if you find you are predisposed of having breast cancer, there are somethings you can do to minimize your risk. My sister is correct that knowledge is power.
Insurance Discrimination
Some patients worried about insurance discrimination against their family members. The following post on the CSN community demonstrates this concern:
I had the genetic testing in March and some of my family members were [leery] of
being denied insurance benefits
Emotional Distress
Some patients worried that their genetic test results may cause stress to their family members. For example, a patient commented the following on the CSN community:
I have a lot of cousins, and none have gotten cancer even though most of us are in our 50s. I certainly would hate to think of my 2 daughters (ages 14 and 22) having to suffer from cancer. I wouldn't want them to feel afraid of that. So, it is unlikely I would do any sort of genetic testing.
Terminology
The need to understand genetic testing–related medical terminology cuts across different stages of the genetic testing process. A CSN community user mentioned the difficulty of articulating requests for genetic testing:
I want to call my doctor to give me a written request for [cancer] genetic testing. What should I ask for? Can't seem to find the exact terminology on the [Internet] and I want to be sure it's correct.
An interview participant called such terms “the big words” and mentioned difficulties in understanding genetic test results:
I looked up [online] some of the words [in my GT results] to see what they mean. I don’t know any of them.
Patients’ Preferences Concerning IQ
The participants expressed preferences for seven IQ dimensions: relevance, understandability, conciseness, usability, appropriateness, being sympathetic, and availability (Table 6).
Table 6.
Information quality dimension | Example participant comments | ||
Relevance |
|
||
Understandability |
|
||
Conciseness |
|
||
Usability | |||
|
Tables, bullets, and white spaces |
|
|
|
Additional sources |
|
|
Appropriateness |
|
||
Being sympathetic |
|
||
Availability |
|
aBRCA: breast cancer gene.
Relevance refers to the information provided being directly relevant to OC-related genetics and genetic testing. Understandability refers to whether the information is easy to understand. The participants used terms including “basic,” “simple,” “self-exploratory,” “straightforward,” “layman’s terms,” and “easy to digest” to express this expectation. Conciseness indicates that the information should be brief and succinct. Too much detail may incur a sense of information overload and discourage some patients from reading further.
Usability indicates that the information should be user-friendly. In this study, the concept was mostly related to the information presentation format. The participants preferred structured formats—tables, bulleted lists, and white spaces—as they made the text less “intimidating” and were easier to follow. The participants weighed usability over the amount of information they could receive. They suggested the use of hyperlinks to expand beyond basic information when needed.
Appropriateness was mainly about the images used in this study. The participants expressed concerns about several images on the mockup website, commenting that they instilled fear or were inappropriate for cancer contexts (eg, one image showed tubes containing blood and the other image showed a character with a seemingly happy smile that was perceived to be unfit for a medical consultation setting). Being sympathetic suggested that the participants wished that the information had an understanding and encouraging tone, showing consideration of information seekers’ emotional states (eg, fear and need for hope). Availability represented the participants’ expectations that the information source would be available for them to access whenever and wherever needed.
Patients’ Preferences Concerning Information Delivery
Table 7 shows the participants’ preferences for channels from which to receive genetic testing–related information.
Table 7.
Channel and subcategory | Specifics | |
Digital technologies | ||
|
Media and platforms |
|
|
Devices |
|
Paper-based prints |
|
|
Health care providers |
|
Some participants preferred to receive information from digital technologies, varying from the internet (in general), websites, and email to patient portals, social media, and mobile apps. Some participants valued the social interaction affordances offered by certain digital technologies. For example, participant 12 suggested the following:
Probably on a website, even on an app. I mean, because you know, it wasn't until I was diagnosed with cancer that I realized there's so many apps out there that talk to other people going through what you're going through...And they post like what they're going through, what kind of meds they're on, what kind of chemo they took. And it kind of makes you understand what other people are going through. And so, it kind of helps you, and then you know if there was something like that too [about GT], and that would help person.
Their preferred devices for accessing information also differed and included laptop or desktop computers, smartphones, and tablets. The participants saw a need to make the information source adaptive to these different screen sizes, as participant 7 suggested:
Just make sure it is mobile friendly as you don’t know if folks will access it via a desktop computer, laptop, tablet or their smart phone.
Some participants preferred to receive pamphlets, brochures, or some other form of written information to take home. For example, participant 16 indicated the following:
I would want it printed. Okay. I'm still old school...in spite of designing computer systems for a living. I still like paper.
Participant 17 commented the following:
I think something that you can save I think written is good.
Other participants preferred to receive genetic testing–related information directly from health care providers, including gynecologists, oncologists, nurse navigators, nurses, genetic counselors, insurance companies, or genetic testing companies. For this channel, the preference was for information to be conveyed through face-to-face meetings, phone calls, or written materials such as pamphlets. For example, participant 12 described the following:
Well, I've been seen at a gynecologist since I was. I think the very first time I went to go see a gynecologist, I was maybe like 23 or 24. And I had never heard of genetic testing until when I got diagnosed with the cancer. So, I think somewhere in between, you should be told, you know, Hey, get this, you know, you might help me. You know, I, cuz I know like, like when my niece was in her teens, they were offering that shot for the cervical cancer. I don't remember what it's called. Yes. It wasn't there when we were, when we were growing up, it's something fairly new. And I think that would probably have helped many people along the way, you know? So, anything that could prevent something like this, I think is good.
Participant 17 described that she expected to receive genetic testing–related information from a nurse or a staff member in oncologists’ offices:
I think someone separate would actually be better because I think that really, and truly the doctors are trying so hard to save your life, that you get super focused in on that. And I think, I think someone like maybe a nurse maybe just a certain staff member at the doctor's office.
Discussion
Principal Findings
This study investigated the information needs of patients with OC related to genetic testing and their preferences for IQ and information delivery to inform interventions to enhance the genetic testing experience and sense of empowerment of patients with OC. This makes 3 major contributions to the literature, as detailed below.
Taxonomy of the Genetic Testing–Related Information Needs of Patients With OC
Previous studies on the genetic testing–related information needs of patients with OC are limited. They have mostly used the survey method [11,46,47] and focused on genetic counseling instead of the patients’ entire genetic testing process [12], limiting the range of information needs identified. We explored patients’ information needs throughout their genetic testing process, from when they were prescribed the test to when they received and reflected on the test results, using multiple qualitative methods, including interviews, participatory co-design activities, and the analysis of genetic testing–related messages on an active OC web-based community. Together, these methods afford in-depth inquiry of the information needs of patients with OC, leading to a comprehensive taxonomy of their genetic testing–related information needs. This taxonomy confirmed many genetic testing–related information needs of patients with breast cancer and OC reported in previous studies, such as the purpose of testing, implications for treatment decisions, treatment options, time frame for results, and the availability of predictive testing for relatives [11,12,14,15,46-49]. It also revealed numerous topics that have been less reported in the literature, such as genetic testing–related standards and regulations, financial demands, medical professionals involved in genetic testing, communication with family members about genetic testing, and the impact of genetic test results on patients’ lifestyle [15].
Many of the needs identified in the taxonomy are consistent with expert genetics and cancer health professionals, who agree that information about inheritance, cancer risks, and management are key messages for patients with cancer [50]. Clinical guidelines for genetic counseling also recognize that some topics in the taxonomy should be covered in pre- and posttest genetic counseling, such as psychological issues, including coping with disclosure of test results, and social issues, including the impact of testing on insurance, employment, and family relationships [51]. Nevertheless, it is still important to recognize patients’ perspectives and priorities regarding their own information needs, considering that patients continue to report various unmet needs years after the release of clinical guidelines for genetic counseling [11,12,14]. Thus, this taxonomy can serve as a patient-centered road map for creating information architectures for interventions that address the information needs of patients with OC.
It is also important to acknowledge the limitations of the taxonomy in light of the methods we adopted. The semistructured interview and participatory co-design methods afford the ability to delve deeply into a set of issues, probe and ask follow-up questions, and connect ideas in real time as a discussion unfolds; however, the methods assess information needs retrospectively, increasing the chance that the participants might not have recalled all the information needs that came up before, during, and after the genetic testing process. The web-based community message analysis can help compensate for the limitations of the interviews as the messages represent patients’ real-time information needs; however, the number of posts that we were able to collect was constrained because of a lack of discussion on this topic among users of the chosen web-based community.
IQ as an Attribute of Information Needs
Guided by the information system success model by DeLone and McLean [29], we identified seven IQ dimensions that patients with OC deemed important: relevance, understandability, conciseness, usability, appropriateness, being sympathetic, and availability. This finding is consistent with the finding of previous empirical studies that patients with cancer prefer brief, straightforward, personalized, and positive information for genetic testing communication [6,47]. Nevertheless, we examined patients’ IQ preferences from a more systematic approach (ie, both theory- and data-driven). These IQ dimensions together offer insights on how information should be written, organized, and presented so that it is more likely to be used by patients, supplementing the insights offered by the information needs taxonomy and providing important guidance for intervention design. Previous studies have measured attributes of consumer health information needs, including level of importance [52], extent of fulfillment [53], amount of information needed [54], and frequency [55], but have largely ignored users’ IQ expectations. Our research results suggest that, as an information-related factor that significantly affects system adoption and success [37], IQ should be considered as an important attribute to successfully address patients’ information needs.
Theoretically, the results suggest that the model by DeLone and McLean, despite being developed and tested mostly in organizational settings, was effective in guiding the exploration of IQ desired by patients with OC as all quality dimensions specified in the study by Sedera et al [40] were found in our data (format was integrated with usability). However, two new dimensions—appropriateness and being sympathetic—emerged from our research. Both dimensions attend to people’s emotional states and may be context-specific as most of the participants mentioned that genetic testing occurred during a chaotic and uncertain time when they were busy coping with a cancer diagnosis and dealing with treatment. Efforts are needed to theorize the impact of health information needs and information-seeking contexts on consumer IQ expectations.
Information Delivery
Previous studies have reported that patients with OC are interested in receiving genetic testing–related information through websites, mobile apps, or leaflets [6,12]. We uncovered a wider range of information channel preferences, including interactive technologies (eg, email, patient portals, social media, and smartphone apps), health care providers (through face-to-face conversations, phone calls, and pamphlets), and genetic testing companies and health insurance providers. The inclusion of social media and apps as platforms to receive genetic testing information is a reflection of some patients’ interest in hearing other patients’ experience with genetic testing, suggesting that peer-to-peer patient education, with its potential to be particularly effective in alleviating fears and strengthening patient empowerment, may be integrated with the dominant provider-led education models to deliver genetic testing information to patients.
The differing preferences expressed by the participants seem to suggest that there may be no one-size-fits-all solution to deliver genetic testing–related information. A hybrid model that uses multiple information channels, media, or platforms and delivers information in both clinical settings and beyond may be needed. For example, leaflets may be distributed in clinics to provide basic and simple genetic testing information to patients, whereas a full-fledged interactive website or app may be created to allow patients to access more advanced and detailed information over the course of their cancer treatment. Web-based communities or social media groups may be created to allow patients to exchange genetic testing–related experiences and information. Simultaneously, health care providers such as nurse navigators and hotline nurses may answer patients’ questions by telephone. It is important to note that such solutions should coexist or be integrated with traditional genetic counseling but not replace it.
Similar to most qualitative studies, the results of this study are not quantitatively generalizable in the sense of predicting how many people within a population have certain information needs. However, the rich description of patients’ information needs and their IQ and information delivery preferences outlined in this study will help other researchers determine whether the findings are transferable or can be extrapolated to populations with proximal similarities [56]. Toward these ends, the results should be interpreted with the characteristics of the study sample in mind. First, the sample consisted only of women who had undergone genetic testing. The perspectives of women who have not taken genetic tests may provide insights into information gaps experienced by a broader range of patients with OC and shed light on the reasons why genetic testing was not undergone. Second, most of the participants were White and well-educated. Future studies should attempt to include more minority and underrepresented women. Furthermore, the sample did not involve family members, who often serve as delegates to seek information in cancer care [57]. For genetic testing in particular, many patients avail of testing for the sake of their family members [58]. Therefore, understanding family members’ information needs may be valuable for intervention design.
Conclusions
Patients with OC have a need for information on various genetic testing–related topics. Genetic counseling alone does not address all of these needs. Interventions that supplement existing genetic counseling are needed. Successful interventions should offer relevant, concise, easy-to-understand, and well-organized (eg, tables and bullet points) information and be available at times and locations needed. Moreover, the information should be appropriate and sympathetic to the cognitive and emotional states of patients with cancer. The patients’ preferences for channels or platforms to receive information differed. A hybrid multichannel information delivery model that combines both health care provider–led and peer-to-peer patient education efforts may be most effective in delivering genetic testing–related information to patients with cancer. Future efforts are needed to explore the feasibility of the multichannel information delivery model and its effectiveness in promoting awareness and acceptance of genetic testing among patients and family members and in empowering them in cancer treatment and care.
Acknowledgments
The authors would like to acknowledge the contributions of the participants, who shared their stories with the intention of benefiting others. This work was supported by the Humanities Institute, the Center for Health Communication, and the Dell Medical School at the University of Texas at Austin, United States.
Abbreviations
- BRCA
breast cancer gene
- CSN
Cancer Survivor Network of the American Cancer Society
- IQ
information quality
- OC
ovarian cancer
- UT
University of Texas
Interview and co-design session guide.
Footnotes
Conflicts of Interest: None declared.
References
- 1.Ovarian cancer statistics. Centers for disease control and prevention. 2021. [2021-09-17]. https://www.cdc.gov/cancer/ovarian/statistics/index.htm .
- 2.Lu KH. Hereditary gynecologic cancers: differential diagnosis, surveillance, management and surgical prophylaxis. Fam Cancer. 2008;7(1):53–8. doi: 10.1007/s10689-007-9144-x. [DOI] [PubMed] [Google Scholar]
- 3.Risch HA, McLaughlin JR, Cole DE, Rosen B, Bradley L, Kwan E, Jack E, Vesprini DJ, Kuperstein G, Abrahamson JL, Fan I, Wong B, Narod SA. Prevalence and penetrance of germline BRCA1 and BRCA2 mutations in a population series of 649 women with ovarian cancer. Am J Hum Genet. 2001;68(3):700–10. doi: 10.1086/318787. https://linkinghub.elsevier.com/retrieve/pii/S0002-9297(07)63109-7 .S0002-9297(07)63109-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Daly MB, Klein C, Pederson HJ, Pilarski R, Kohlmann W, Reiser G, Berry MP, Kurian AW, Shannon KM, Buys SS, Litton JK, Thaker P, Friedman S, Madlensky L, Viswanathan K, Garber JE, Mak JS, Weitzel JN, Hutton ML, Merajver SD, Wick MJ, Kauff ND, Offit K, Wisinski KB, Khan S, Pal T, Darlow S. NCCN guidelines version 3.2019: genetic/familial high-risk assessment: breast and ovarian. National Comprehensive Cancer Network. 2019. [2021-11-29]. https://www2.tri-kobe.org/nccn/guideline/gynecological/english/genetic_familial.pdf .
- 5.Lancaster JM, Powell CB, Chen LM, Richardson DL, SGO Clinical Practice Committee Society of Gynecologic Oncology statement on risk assessment for inherited gynecologic cancer predispositions. Gynecol Oncol. 2015;136(1):3–7. doi: 10.1016/j.ygyno.2014.09.009.S0090-8258(14)01312-2 [DOI] [PubMed] [Google Scholar]
- 6.Gleeson M, Meiser B, Barlow-Stewart K, Trainer AH, Tucker K, Watts KJ, Friedlander M, Kasparian N. Communication and information needs of women diagnosed with ovarian cancer regarding treatment-focused genetic testing. Oncol Nurs Forum. 2013;40(3):275–83. doi: 10.1188/13.ONF.40-03AP.F658545Q788237W6 [DOI] [PubMed] [Google Scholar]
- 7.Manchanda R, Legood R, Antoniou AC, Gordeev VS, Menon U. Specifying the ovarian cancer risk threshold of 'premenopausal risk-reducing salpingo-oophorectomy' for ovarian cancer prevention: a cost-effectiveness analysis. J Med Genet. 2016;53(9):591–9. doi: 10.1136/jmedgenet-2016-103800.jmedgenet-2016-103800 [DOI] [PubMed] [Google Scholar]
- 8.Febbraro T, Robison K, Wilbur JS, Laprise J, Bregar A, Lopes V, Legare R, Stuckey A. Adherence patterns to National Comprehensive Cancer Network (NCCN) guidelines for referral to cancer genetic professionals. Gynecol Oncol. 2015;138(1):109–14. doi: 10.1016/j.ygyno.2015.04.029. http://europepmc.org/abstract/MED/25933682 .S0090-8258(15)00858-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wright JD, Chen L, Tergas AI, Accordino M, Ananth CV, Neugut AI, Hershman DL. Underuse of BRCA testing in patients with breast and ovarian cancer. Am J Obstet Gynecol. 2016;214(6):761–3. doi: 10.1016/j.ajog.2016.02.011.S0002-9378(16)00295-7 [DOI] [PubMed] [Google Scholar]
- 10.Kurian AW, Griffith KA, Hamilton AS, Ward KC, Morrow M, Katz SJ, Jagsi R. Genetic testing and counseling among patients with newly diagnosed breast cancer. JAMA. 2017;317(5):531–4. doi: 10.1001/jama.2016.16918. http://europepmc.org/abstract/MED/28170472 .2600457 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Liang MI, Wong DH, Walsh CS, Farias-Eisner R, Cohen JG. Cancer genetic counseling and testing: perspectives of epithelial ovarian cancer patients and gynecologic oncology healthcare providers. J Genet Couns. 2018;27(1):177–86. doi: 10.1007/s10897-017-0135-2.10.1007/s10897-017-0135-2 [DOI] [PubMed] [Google Scholar]
- 12.Vogel RI, Niendorf K, Lee H, Petzel S, Lee HY, Geller MA. A qualitative study of barriers to genetic counseling and potential for mobile technology education among women with ovarian cancer. Hered Cancer Clin Pract. 2018;16:13. doi: 10.1186/s13053-018-0095-z. https://hccpjournal.biomedcentral.com/articles/10.1186/s13053-018-0095-z .95 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Geer KP, Ropka ME, Cohn WF, Jones SM, Miesfeldt S. Factors influencing patients' decisions to decline cancer genetic counseling services. J Genet Couns. 2001;10(1):25–40. doi: 10.1023/a:1009451213035. [DOI] [PubMed] [Google Scholar]
- 14.Zimmermann BM, Fanderl J, Koné I, Rabaglio M, Bürki N, Shaw D, Elger B. Examining information-seeking behavior in genetic testing for cancer predisposition: a qualitative interview study. Patient Educ Couns. 2021;104(2):257–64. doi: 10.1016/j.pec.2020.09.019.S0738-3991(20)30517-6 [DOI] [PubMed] [Google Scholar]
- 15.Jacobs C, Patch C, Michie S. Communication about genetic testing with breast and ovarian cancer patients: a scoping review. Eur J Hum Genet. 2019;27(4):511–24. doi: 10.1038/s41431-018-0310-4. http://europepmc.org/abstract/MED/30573802 .10.1038/s41431-018-0310-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Benusiglio PR, Di Maria M, Dorling L, Jouinot A, Poli A, Villebasse S, Le Mentec M, Claret B, Boinon D, Caron O. Hereditary breast and ovarian cancer: successful systematic implementation of a group approach to genetic counselling. Fam Cancer. 2017;16(1):51–6. doi: 10.1007/s10689-016-9929-x.10.1007/s10689-016-9929-x [DOI] [PubMed] [Google Scholar]
- 17.McCuaig JM, Tone AA, Maganti M, Romagnuolo T, Ricker N, Shuldiner J, Rodin G, Stockley T, Kim RH, Bernardini MQ. Modified panel-based genetic counseling for ovarian cancer susceptibility: a randomized non-inferiority study. Gynecol Oncol. 2019;153(1):108–15. doi: 10.1016/j.ygyno.2018.12.027. doi: 10.1016/j.ygyno.2018.12.027.S0090-8258(18)31541-5 [DOI] [PubMed] [Google Scholar]
- 18.Quinn VF, Meiser B, Kirk J, Tucker KM, Watts KJ, Rahman B, Peate M, Saunders C, Geelhoed E, Gleeson M, Barlow-Stewart K, Field M, Harris M, Antill YC, Cicciarelli L, Crowe K, Bowen MT, Mitchell G. Streamlined genetic education is effective in preparing women newly diagnosed with breast cancer for decision making about treatment-focused genetic testing: a randomized controlled noninferiority trial. Genet Med. 2017;19(4):448–56. doi: 10.1038/gim.2016.130. doi: 10.1038/gim.2016.130.gim2016130 [DOI] [PubMed] [Google Scholar]
- 19.Sie AS, Spruijt L, van Zelst-Stams WA, Mensenkamp AR, Ligtenberg MJ, Brunner HG, Prins JB, Hoogerbrugge N. High satisfaction and low distress in breast cancer patients one year after BRCA-mutation testing without prior face-to-face genetic counseling. J Genet Couns. 2016;25(3):504–14. doi: 10.1007/s10897-015-9899-4. doi: 10.1007/s10897-015-9899-4.10.1007/s10897-015-9899-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Butow PN, Lobb EA. Analyzing the process and content of genetic counseling in familial breast cancer consultations. J Genet Counsel. 2004;13(5):403–24. doi: 10.1023/B:JOGC.0000044201.73103.4f. doi: 10.1023/B:JOGC.0000044201.73103.4f. [DOI] [PubMed] [Google Scholar]
- 21.Joseph G, Pasick RJ, Schillinger D, Luce J, Guerra C, Cheng JK. Information mismatch: cancer risk counseling with diverse underserved patients. J Genet Couns. 2017;26(5):1090–104. doi: 10.1007/s10897-017-0089-4. http://europepmc.org/abstract/MED/28289853 .10.1007/s10897-017-0089-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kamara D, Weil J, Youngblom J, Guerra C, Joseph G. Cancer counseling of low-income limited english proficient Latina women using medical interpreters: implications for shared decision-making. J Genet Couns. 2018;27(1):155–68. doi: 10.1007/s10897-017-0132-5.10.1007/s10897-017-0132-5 [DOI] [PubMed] [Google Scholar]
- 23.Peterson EB, Chou WY, Gaysynsky A, Krakow M, Elrick A, Khoury MJ, Kaphingst KA. Communication of cancer-related genetic and genomic information: a landscape analysis of reviews. Transl Behav Med. 2018;8(1):59–70. doi: 10.1093/tbm/ibx063. http://europepmc.org/abstract/MED/29385592 .4829343 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Armstrong D, Michie S, Marteau T. Revealed identity: a study of the process of genetic counselling. Soc Sci Med. 1998;47(11):1653–8. doi: 10.1016/s0277-9536(98)00241-x.S027795369800241X [DOI] [PubMed] [Google Scholar]
- 25.Ellington L, Baty BJ, McDonald J, Venne V, Musters A, Roter D, Dudley W, Croyle RT. Exploring genetic counseling communication patterns: the role of teaching and counseling approaches. J Genet Couns. 2006;15(3):179–89. doi: 10.1007/s10897-005-9011-6. [DOI] [PubMed] [Google Scholar]
- 26.Meiser B, Irle J, Lobb E, Barlow-Stewart K. Assessment of the content and process of genetic counseling: a critical review of empirical studies. J Genet Couns. 2008;17(5):434–51. doi: 10.1007/s10897-008-9173-0. [DOI] [PubMed] [Google Scholar]
- 27.Paul J, Metcalfe S, Stirling L, Wilson B, Hodgson J. Analyzing communication in genetic consultations--a systematic review. Patient Educ Couns. 2015;98(1):15–33. doi: 10.1016/j.pec.2014.09.017.S0738-3991(14)00407-8 [DOI] [PubMed] [Google Scholar]
- 28.Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13(3):319–40. doi: 10.2307/249008. doi: 10.2307/249008. [DOI] [Google Scholar]
- 29.DeLone WH, McLean ER. Information systems success: the quest for the dependent variable. Inf Syst Res. 1992;3(1):60–95. doi: 10.1287/isre.3.1.60. [DOI] [Google Scholar]
- 30.Belkin NJ. Anomalous states of knowledge as a basis for information retrieval. Can J Inf Sci. 1980;5(5):133–43. [Google Scholar]
- 31.Kuhlthau CC. A principle of uncertainty for information seeking. J Doc. 1993;49(4):339–55. doi: 10.1108/eb026918. doi: 10.1108/eb026918. [DOI] [Google Scholar]
- 32.Ormandy P. Defining information need in health - assimilating complex theories derived from information science. Health Expect. 2011;14(1):92–104. doi: 10.1111/j.1369-7625.2010.00598.x. doi: 10.1111/j.1369-7625.2010.00598.x.HEX598 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Timmins F. Exploring the concept of 'information need'. Int J Nurs Pract. 2006;12(6):375–81. doi: 10.1111/j.1440-172X.2006.00597.x.IJN597 [DOI] [PubMed] [Google Scholar]
- 34.McKinney V, Yoon K, Zahedi FM. The measurement of web-customer satisfaction: an expectation and disconfirmation approach. Inf Syst Res. 2002;13(3):296–315. doi: 10.1287/isre.13.3.296.76. doi: 10.1287/isre.13.3.296.76. [DOI] [Google Scholar]
- 35.Corritore CL, Wiedenbeck S, Kracher B, Marble RP. Online trust and health information websites. Int J Technol Hum Interact. 2012;8(4):92–115. doi: 10.4018/jthi.2012100106. doi: 10.4018/jthi.2012100106. [DOI] [Google Scholar]
- 36.Harris PR, Sillence E, Briggs P. Perceived threat and corroboration: key factors that improve a predictive model of trust in internet-based health information and advice. J Med Internet Res. 2011;13(3):e51. doi: 10.2196/jmir.1821. https://www.jmir.org/2011/3/e51/ v13i3e51 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.DeLone WH, McLean ER. The DeLone and McLean model of information systems success: a ten-year update. J Manag Inf Syst. 2014;19(4):9–30. doi: 10.1080/07421222.2003.11045748. [DOI] [Google Scholar]
- 38.Taylor RS. Question-negotiation and information seeking in libraries. Coll Res Libr. 2015;76(3):251–67. doi: 10.5860/crl.76.3.251. [DOI] [Google Scholar]
- 39.McKenzie PJ. Positioning theory and the negotiation of information needs in a clinical midwifery setting. J Am Soc Inf Sci. 2004;55(8):685–94. doi: 10.1002/asi.20002. doi: 10.1002/asi.20002. [DOI] [Google Scholar]
- 40.Sedera D, Gable G, Chan T. A factor and structural equation analysis of the enterprise systems success measurement model. Proceedings of the 10th American Conference on Information Systems; AMCIS'04; August 6-8, 2004; New York. 2004. pp. 676–82. [Google Scholar]
- 41.Petter S, DeLone W, McLean E. Measuring information systems success: models, dimensions, measures, and interrelationships. Eur J Inf Syst. 2017;17(3):236–63. doi: 10.1057/ejis.2008.15. doi: 10.1057/ejis.2008.15. [DOI] [Google Scholar]
- 42.Zhang Y. Toward a layered model of context for health information searching: an analysis of consumer-generated questions. J Am Soc Inf Sci Tec. 2013;64(6):1158–72. doi: 10.1002/asi.22821. doi: 10.1002/asi.22821. [DOI] [Google Scholar]
- 43.Siek KA. Expanding human computer interaction methods to understand user needs in the design process of personal health systems. Yearb Med Inform. 2018;27(1):74–8. doi: 10.1055/s-0038-1667073. http://www.thieme-connect.com/DOI/DOI?10.1055/s-0038-1667073 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Saldaña J. The coding manual for qualitative researchers. 2nd Edition. Thousand Oaks: SAGE Publications; 2012. [Google Scholar]
- 45.Thomas DR. A general inductive approach for analyzing qualitative evaluation data. Am J Eval. 2006;27(2):237–46. doi: 10.1177/1098214005283748. doi: 10.1177/1098214005283748. [DOI] [Google Scholar]
- 46.Lacour RA, Daniels MS, Westin SN, Meyer LA, Burke CC, Burns KA, Kurian S, Webb NF, Pustilnik TB, Lu KH. What women with ovarian cancer think and know about genetic testing. Gynecol Oncol. 2008;111(1):132–6. doi: 10.1016/j.ygyno.2008.06.016. http://europepmc.org/abstract/MED/18684498 .S0090-8258(08)00456-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Browall M, Carlsson M, Horvath GG. Information needs of women with recently diagnosed ovarian cancer--a longitudinal study. Eur J Oncol Nurs. 2004;8(3):200–10. doi: 10.1016/j.ejon.2003.12.007.S1462388903001091 [DOI] [PubMed] [Google Scholar]
- 48.Lobb EA, Butow PN, Barratt A, Meiser B, Gaff C, Young MA, Haan E, Suthers G, Gattas M, Tucker K. Communication and information-giving in high-risk breast cancer consultations: influence on patient outcomes. Br J Cancer. 2004;90(2):321–7. doi: 10.1038/sj.bjc.6601502. http://europepmc.org/abstract/MED/14735171 .6601502 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Meiser B, Gleeson M, Watts K, Peate M, Zilliacus E, Barlow-Stewart K, Saunders C, Mitchell G, Kirk J. Getting to the point: what women newly diagnosed with breast cancer want to know about treatment-focused genetic testing. Oncol Nurs Forum. 2012;39(2):E101–11. doi: 10.1188/12.ONF.E101-E111.C72K52P6T1771615 [DOI] [PubMed] [Google Scholar]
- 50.Jacobs C, Pichert G, Harris J, Tucker K, Michie S. Key messages for communicating information about BRCA1 and BRCA2 to women with breast or ovarian cancer: consensus across health professionals and service users. Psychooncology. 2017;26(11):1818–24. doi: 10.1002/pon.4379. [DOI] [PubMed] [Google Scholar]
- 51.Skirton H, Goldsmith L, Jackson L, Tibben A. Quality in genetic counselling for presymptomatic testing--clinical guidelines for practice across the range of genetic conditions. Eur J Hum Genet. 2013;21(3):256–60. doi: 10.1038/ejhg.2012.174. http://europepmc.org/abstract/MED/22892534 .ejhg2012174 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Körner A, Garland R, Czajkowska Z, Coroiu A, Khanna M. Supportive care needs and distress in patients with non-melanoma skin cancer: nothing to worry about? Eur J Oncol Nurs. 2016;20:150–5. doi: 10.1016/j.ejon.2015.07.006.S1462-3889(15)30014-4 [DOI] [PubMed] [Google Scholar]
- 53.Chalmers KI, Luker KA, Leinster SJ, Ellis I, Booth K. Information and support needs of women with primary relatives with breast cancer: development of the Information and Support Needs Questionnaire. J Adv Nurs. 2001;35(4):497–507. doi: 10.1046/j.1365-2648.2001.01866.x. [DOI] [PubMed] [Google Scholar]
- 54.Xie B, Wang M, Feldman R, Zhou L. Internet use frequency and patient-centered care: measuring patient preferences for participation using the health information wants questionnaire. J Med Internet Res. 2013;15(7):e132. doi: 10.2196/jmir.2615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Gavgani VZ, Qeisari E, Jafarabadi MA. Health information seeking behavior (HISB): a study of a developing country. Libr Philos Pract. 2013;902:1–29. https://digitalcommons.unl.edu/libphilprac/902 . [Google Scholar]
- 56.Campbell DT. Relabeling internal and external validity for applied social scientists. New Dir Program Eval. 1986;1986(31):67–77. doi: 10.1002/ev.1434. doi: 10.1002/ev.1434. [DOI] [Google Scholar]
- 57.Adams E, Boulton M, Watson E. The information needs of partners and family members of cancer patients: a systematic literature review. Patient Educ Couns. 2009;77(2):179–86. doi: 10.1016/j.pec.2009.03.027.S0738-3991(09)00148-7 [DOI] [PubMed] [Google Scholar]
- 58.Rauscher EA, Dean M, Campbell-Salome G, Barbour JB. "How do we rally around the one who was positive?" Familial uncertainty management in the context of men managing BRCA-related cancer risks. Soc Sci Med. 2019;242:112592. doi: 10.1016/j.socscimed.2019.112592.S0277-9536(19)30587-8 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Interview and co-design session guide.