10 years later: assessing the impact of public health efforts on the collection of family health history

Does the amount of family history matter? Perspectives of adult adoptees

Family history is considered the gold standard for risk assessment of inherited conditions and is often used to inform preventative care. There are currently no provider guidelines that address caring for patients with a lack of family history, and adoptees report inconsistent care because of this. Through this qualitative study, we explored (1) how the amount of family history impacts adoptees' perceptions of healthcare and (2) adoptees' suggestions for improvement of their healthcare. Fourteen adult adoptees participated in semi-structured interviews via telephone or Zoom audio. Transcripts were analyzed using thematic analysis and interpretive phenomenology. Results revealed five themes: adoptees should have access to their family health history; several factors influence the importance of family history (reproduction, identity formation, age, and health concerns); many adoptees use direct-to-consumer testing to gain information about health risks or to find family members; completing history forms or being asked about family health history invokes negative emotions in adoptees; experiences with healthcare providers are variable for adoptees. These results show that unknown family health history can contribute to a negative perception of healthcare. Adoptees perceive family health history as important to know, and not having this information brings up complex emotions in the healthcare setting. To help mitigate the disparities and the negative emotions that adoptees feel, genetic counselors should consider acknowledging the complex emotions, reassuring adoptees with available preventative care, and revising preclinical paperwork, such as family health history questionnaires, to be more inclusive of those who lack this information. These changes have the potential to significantly improve healthcare experiences for adoptees. Healthcare providers, especially genetic counselors, need to continue to learn about and advocate for this population.

The Influence of Family Communication Patterns and Identity Frames on Perceived Collective Psychological Ownership and Intentions to Share Health Information

An experimental study exposed participants (N = 299) to different message frames to investigate whether Family Communication Patterns (FCP) and message characteristics influenced willingness to communicate about Family Health History (FHH). Message frames were either collective (our), individual (mine), or control (no pronouns). Afterward, participants were asked about their perceived collective psychological ownership of health information, attitudes, subjective norms, and FHH communication intentions. Although the message frames had no impact on perceived collective psychological ownership of health information, conversation orientation and conformity orientation (respecting parental authority) were positively associated with perceived collective psychological ownership of health information. Additionally, perceived collective psychological ownership, attitudes, and subjective norms were found to have indirect effects between FCP and FHH communication intentions. These findings provide further support that FCP influences how health message appeals are processed and suggest interventions could be tailored to FCP orientations for effective FHH behaviors.

Implementation-effectiveness trial of systematic family health history based risk assessment and impact on clinical disease prevention and surveillance activities

BACKGROUND

Systematically assessing disease risk can improve population health by identifying those eligible for enhanced prevention/screening strategies. This study aims to determine the clinical impact of a systematic risk assessment in diverse primary care populations.

METHODS

Hybrid implementation-effectiveness trial of a family health history-based health risk assessment (HRA) tied to risk-based guideline recommendations enrolling from 2014-2017 with 12 months of post-intervention survey data and 24 months of electronic medical record (EMR) data capture.

SETTING

19 primary care clinics at four geographically and culturally diverse U.S. healthcare systems.

PARTICIPANTS

any English or Spanish-speaking adult with an upcoming appointment at an enrolling clinic.

METHODS

A personal and family health history based HRA with integrated guideline-based clinical decision support (CDS) was completed by each participant prior to their appointment. Risk reports were provided to patients and providers to discuss at their clinical encounter.

OUTCOMES

provider and patient discussion and provider uptake (i.e. ordering) and patient uptake (i.e. recommendation completion) of CDS recommendations.

MEASURES

patient and provider surveys and EMR data.

RESULTS

One thousand eight hundred twenty nine participants (mean age 56.2 [SD13.9], 69.6% female) completed the HRA and had EMR data available for analysis. 762 (41.6%) received a recommendation (29.7% for genetic counseling (GC); 15.2% for enhanced breast/colon cancer screening). Those with recommendations frequently discussed disease risk with their provider (8.7%-38.2% varied by recommendation, p-values ≤ 0.004). In the GC subgroup, provider discussions increased referrals to counseling (44.4% with vs. 5.9% without, P < 0.001). Recommendation uptake was highest for colon cancer screening (provider = 67.9%; patient = 86.8%) and lowest for breast cancer chemoprevention (0%).

CONCLUSIONS

Systematic health risk assessment revealed that almost half the population were at increased disease risk based on guidelines. Risk identification resulted in shared discussions between participants and providers but variable clinical action uptake depending upon the recommendation. Understanding the barriers and facilitators to uptake by both patients and providers will be essential for optimizing HRA tools and achieving their promise of improving population health.

TRIAL REGISTRATION

Clinicaltrials.gov number NCT01956773 , registered 10/8/2013.

Association of Disparities in Family History and Family Cancer History in the Electronic Health Record With Sex, Race, Hispanic or Latino Ethnicity, and Language Preference in 2 Large US Health Care Systems

IMPORTANCE

Clinical decision support (CDS) algorithms are increasingly being implemented in health care systems to identify patients for specialty care. However, systematic differences in missingness of electronic health record (EHR) data may lead to disparities in identification by CDS algorithms.

OBJECTIVE

To examine the availability and comprehensiveness of cancer family history information (FHI) in patients' EHRs by sex, race, Hispanic or Latino ethnicity, and language preference in 2 large health care systems in 2021.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective EHR quality improvement study used EHR data from 2 health care systems: University of Utah Health (UHealth) and NYU Langone Health (NYULH). Participants included patients aged 25 to 60 years who had a primary care appointment in the previous 3 years. Data were collected or abstracted from the EHR from December 10, 2020, to October 31, 2021, and analyzed from June 15 to October 31, 2021.

EXPOSURES

Prior collection of cancer FHI in primary care settings.

MAIN OUTCOMES AND MEASURES

Availability was defined as having any FHI and any cancer FHI in the EHR and was examined at the patient level. Comprehensiveness was defined as whether a cancer family history observation in the EHR specified the type of cancer diagnosed in a family member, the relationship of the family member to the patient, and the age at onset for the family member and was examined at the observation level.

RESULTS

Among 144 484 patients in the UHealth system, 53.6% were women; 74.4% were non-Hispanic or non-Latino and 67.6% were White; and 83.0% had an English language preference. Among 377 621 patients in the NYULH system, 55.3% were women; 63.2% were non-Hispanic or non-Latino, and 55.3% were White; and 89.9% had an English language preference. Patients from historically medically undeserved groups-specifically, Black vs White patients (UHealth: 17.3% [95% CI, 16.1%-18.6%] vs 42.8% [95% CI, 42.5%-43.1%]; NYULH: 24.4% [95% CI, 24.0%-24.8%] vs 33.8% [95% CI, 33.6%-34.0%]), Hispanic or Latino vs non-Hispanic or non-Latino patients (UHealth: 27.2% [95% CI, 26.5%-27.8%] vs 40.2% [95% CI, 39.9%-40.5%]; NYULH: 24.4% [95% CI, 24.1%-24.7%] vs 31.6% [95% CI, 31.4%-31.8%]), Spanish-speaking vs English-speaking patients (UHealth: 18.4% [95% CI, 17.2%-19.1%] vs 40.0% [95% CI, 39.7%-40.3%]; NYULH: 15.1% [95% CI, 14.6%-15.6%] vs 31.1% [95% CI, 30.9%-31.2%), and men vs women (UHealth: 30.8% [95% CI, 30.4%-31.2%] vs 43.0% [95% CI, 42.6%-43.3%]; NYULH: 23.1% [95% CI, 22.9%-23.3%] vs 34.9% [95% CI, 34.7%-35.1%])-had significantly lower availability and comprehensiveness of cancer FHI (P < .001).

CONCLUSIONS AND RELEVANCE

These findings suggest that systematic differences in the availability and comprehensiveness of FHI in the EHR may introduce informative presence bias as inputs to CDS algorithms. The observed differences may also exacerbate disparities for medically underserved groups. System-, clinician-, and patient-level efforts are needed to improve the collection of FHI.

Prevalence of Americans reporting a family history of cancer indicative of increased cancer risk: Estimates from the 2015 National Health Interview Survey

The collection and evaluation of family health history in a clinical setting presents an opportunity to discuss cancer risk, tailor cancer screening recommendations, and identify people with an increased risk of carrying a pathogenic variant who may benefit from referral to genetic counseling and testing. National recommendations for breast and colorectal cancer screening indicate that men and women who have a first-degree relative affected with these types of cancers may benefit from talking to a healthcare provider about starting screening at an earlier age and other options for cancer prevention. The prevalence of reporting a first-degree relative who had cancer was assessed among adult respondents of the 2015 National Health Interview Survey who had never had cancer themselves (n = 27,999). We found 35.6% of adults reported having at least one first-degree relative with cancer at any site. Significant differences in reporting a family history of cancer were observed by sex, age, race/ethnicity, educational attainment, and census region. Nearly 5% of women under age 50 and 2.5% of adults under age 50 had at least one first-degree relative with breast cancer or colorectal cancer, respectively. We estimated that 5.8% of women had a family history of breast or ovarian cancer that may indicate increased genetic risk. A third of U.S. adults who have never had cancer report a family history of cancer in a first-degree relative. This finding underscores the importance of using family history to inform discussions about cancer risk and screening options between healthcare providers and their patients.

Factors Influencing Family Health History Collection among Young Adults: A Structural Equation Modeling

Family health history (FHH) can serve as an entry point for preventive medicine by providing risk estimations for many common health conditions. College is a critical time for young adults to begin to understand the value of FHH collection, and to establish healthy behaviors to prevent FHH-related diseases. This study seeks to develop an integrated theoretical framework to examine FHH collection behavior and associated factors among college students. A sample of 2670 college students with an average age of 21.1 years completed a web-based survey. Less than half (49.8%) reported actively seeking FHH information from their family members. Respondents’ knowledge about FHH were generally low. Structural equation modeling findings suggested an adequate model fit between our survey data and the proposed integrated theoretical framework. Respondents who were members of racial/ethnic minority groups exhibited higher levels of anxiety and intention to obtain FHH information but had lower confidence in their ability to gather FHH information than non-Hispanic White respondents. Therefore, educational programs designed to enhance the level of young adults’ FHH knowledge, efficacy, and behavior in FHH collection, and change subjective norms are critically needed in the future, especially for these who are members of racial/ethnic minority groups.

Physicians' strategies for using family history data: having the data is not the same as using the data

Objective

To identify needs in a clinical decision support tool development by exploring how primary care providers currently collect and use family health history (FHH).

Design

Survey questionnaires and semi-structured interviews were administered to a mix of primary and specialty care clinicians within the University of Utah Health system (40 surveys, 12 interviews).

Results

Three key themes emerged regarding providers' collection and use of FHH: (1) Strategies for collecting FHH vary by level of effort; (2) Documentation practices extend beyond the electronic health record's dedicated FHH module; and (3) Providers desire feedback from genetic services consultation and are uncertain how to refer patients to genetic services.

Conclusion

Study findings highlight the varying degrees of engagement that providers have with collecting FHH. Improving the integration of FHH into workflow, and providing decision support, as well as links and tools to help providers better utilize genetic counseling may improve patient care.

Mapping Users' Experience of a Family History and Genetic Risk Algorithm Tool in Primary Care

INTRODUCTION

The development of a family history (FH) questionnaire (FHQ) provides an insight into a patient's familiarity of a trait and helps to identify individuals at increased risk of disease. A critical aspect of developing a new tool is exploring users' experience.

OBJECTIVE

The objective of this study was to examine users' experience, obstacles and challenges, and their views and concerns in the applicability of a new tool for determining genetic risk in Slovenia's primary care.

METHODS

We used a qualitative approach. The participants completed a risk assessment software questionnaire that calculates users' likelihood of developing familial diseases. Audio-taped semi-structured telephone interviews were conducted to evaluate their experience. There were 21 participants, and analyses using the constant comparative method were employed.

RESULTS

We identified 3 main themes: obstacles/key issues, suggestions for improvements, and coping. The participants were poorly satisfied with the clarity of instructions, technical usability problems, and issues with the entry of relatives' data. They expressed satisfaction with some of the characteristics of the FHQ (e.g., straightforward and friendly format, easy entry, and comprehension). They suggested simpler language, that the disease risk should be targeted toward the disease, that the FHQ should include patient-specific recommendations, and that it should be part of the electronic medical records. When discussing what would they do with the results of the FHQ, the participants used different coping strategies: active (e.g., seeking information) or passive (e.g., avoidance).

DISCUSSION/CONCLUSION

User experience was shown to be a synthesis of obstacles, overcoming them with suggestions for improvements, and exploration of various coping mechanisms that may emerge from dealing with the stressor of "being at risk."

Utility of a virtual counselor (VICKY) to collect family health histories among vulnerable patient populations: A randomized controlled trial

OBJECTIVES

This study is a randomized controlled trial comparing the efficacy of a virtual counselor (VICKY) to the My Family Health Portrait (MFHP) tool for collecting family health history (FHx).

METHODS

A total of 279 participants were recruited from a large safety-net hospital and block randomized by health literacy to use one of the digital FHx tools, followed by a genetic counselor interview. A final sample of 273 participants were included for analyses of primary study aims pertaining to tool concordance, which assessed agreement between tool and genetic counselor.

RESULTS

Tool completion differed significantly between tools (VICKY = 97%, MFHP = 51%; p < .0001). Concordance between tool and genetic counselor was significantly greater for participants randomized to VICKY compared to MFHP for ascertaining first- and second-degree relatives (ps<.0001), and most health conditions examined. There was significant interaction by health literacy, with greater differences in concordance observed between tools among those with limited literacy.

CONCLUSIONS

A virtual counselor overcomes many of the literacy-related barriers to using traditional digital tools and highlights an approach that may be important to consider when collecting health histories from vulnerable populations.

PRACTICE IMPLICATIONS

The usability of digital health history tools will have important implications for the quality of the data collected and its downstream clinical utility.

The Influence of Family Communication Patterns on the Processing of Messages to Increase Family Health History Seeking Intentions

The current study extends family communication patterns (FCP) research to assess how family communication schemata (conversation and conformity orientation dimensions) influence systematic processing of health appeals intended to persuade individuals to seek family health history information, emphasizing an updated conceptualization of family conformity (i.e., the expanded conformity orientation scale). Our results suggest that conversation orientation and the conformity dimension of parental control are the primary drivers of systematic processing of family health history messages. Systematic processing, in turn, was significantly associated with more positive attitudes and greater intentions to seek health information from family members. Our results suggest family communication patterns may impact individual engagement with family health history campaign messages, thus campaign designers may want to consider how best to tailor messages to match family communication characteristics.

Prevalence and Correlates of Family Cancer History Knowledge and Communication Among US Adults

Introduction

Knowing one’s family cancer history (FCH) plays an important role in cancer prevention. Communicating health histories with relatives can increase awareness about familial cancer risk and aid health care providers in personalizing cancer prevention recommendations.

Methods

This study used data from the National Cancer Institute’s 2018 Health Information National Trends Survey. We calculated frequencies and weighted population estimates for key FCH communication variables. Multivariable logistic regression models estimated associations between sociodemographic characteristics and FCH communication.

Results

Findings provide the first nationally representative estimates of FCH communication. Less than one-third (31.1%) of the population reported knowing FCH very well, 70.0% had discussed FCH with at least 1 biological relative, 39.0% had discussed FCH with a health care provider, and 22.2% reported being completely confident in completing FCH on medical forms. Findings also identified key demographic factors, including sex, household income, education level, and race and ethnicity, associated with these FCH measures among the US adult population.

Conclusion

Results can be used to target and tailor FCH communication interventions for patients, families, and providers.

Roles of attitudes and injunctive norms in decisional conflict and disclosure following receipt of genome sequencing results

RATIONALE

Individuals who choose to obtain genetic information may learn that their genetic profile confers health risks to themselves or offspring. Individuals may react more negatively to this information when personal attitudes, perceived norms, and/or the decision to receive results conflict with one another.

OBJECTIVE

We predicted that holding more negative attitudes (personal evaluations) or injunctive norms (perceptions of others' approval) toward obtaining genetic test results would prospectively predict greater conflict about the decision to undergo sequencing and less disclosure of sequencing results to family members. We also expected attitudes and norms to interact, such that attitudes would be negatively associated with decisional conflict and positively associated with disclosure when injunctive norms were positive, but weakly associated with outcomes when injunctive norms were negative.

METHOD

Participants (N=312) were enrolled in a genomic sequencing trial focused on identifying carrier genetic variants, reflecting a variant that might affect their biological children's or grandchildren's health. Participants reported attitudes and injunctive norms, underwent sequencing, and later received results indicating carrier status for at least one variant. Decisional conflict was assessed at immediate post-test, and 1- and 6-month follow-ups. Disclosure of results to children and siblings were assessed at 1 and 6 months.

RESULTS

In structural equation models with covariates, attitudes were negatively associated with post-test and 1-month decisional conflict. Injunctive norms were negatively associated with decisional conflict at 1 and 6 months and positively associated with disclosure to children and siblings at 1 month. The significant attitudes by injunctive norms interaction predicting post-test decisional conflict supported lower decisional conflict when attitudes, norms, and the decision to receive results were all aligned. Exploratory analyses supported indirect effects of attitudes and norms on 6-month sibling disclosure via 1- month decisional conflict.

CONCLUSION

Results support roles of psychosocial factors in decisional conflict and disclosure after receiving sequencing results.

The enduring importance of family health history in the era of genomic medicine and risk assessment

Improving disease risk prediction and tailoring preventive interventions to patient risk factors is one of the primary goals of precision medicine. Family health history is the traditional approach to quickly gather genetic and environmental data relevant to the patient. While the utility of family health history is well-documented, its utilization is variable, in part due to lack of patient and provider knowledge and incomplete or inaccurate data. With the advances and reduced costs of sequencing technologies, comprehensive sequencing tests can be performed as a risk assessment tool. We provide an overview of each of these risk assessment approaches, the benefits and limitations and implementation challenges.

Applying theory to characterize impediments to dissemination of community-facing family health history tools: a review of the literature

Uptake of community-facing family health history (FHH) tools to identify those at highest risk of disease and target prevention efforts has been consistently low. This review uses the diffusion of innovations (DOI) as a framework to organize the FHH evidence base and identify potential strategies to improve uptake of community-facing FHH tools. Methods for this literature review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. We completed systematic searches in PubMed, Embase, and Web of Science databases for studies from 2009 to 2017 and hand searched bibliographies of relevant literature to identify additional articles. We abstracted and synthesized results, which were then organized by the DOI including the innovation-decision making process and characteristics of the innovation likely to influence diffusion (e.g., compatibility, relative advantage, complexity, trialability, observa/bility). Of the 290 unique articles identified, 65 were eligible for full-text review after title and abstract screening; a total of 27 were included in the final abstraction. Eleven unique tools were identified. The most commonly used tool was the Surgeon General's My Family Health Portrait (n =9/27). Only six studies directly evaluated participant perceptions shown to be associated with tool uptake. Studies tended to focus on improving compatibility by customizing tools to the target population's needs and use of educational interventions. Results from this review suggest the need to evaluate strategies to increase the pace of uptake of community-facing FHH tools. These include pragmatic trials that compare different approaches to engage and evaluate participant perceptions of the relative advantage and complexity of tools. Ancillary support strategies may include collaborations with community networks to facilitate use and implementation study designs for rigorous evaluation.

Evaluation of family health history collection methods impact on data and risk assessment outcomes

Information technology applications for patient-collection of family health history (FHH) increase identification of elevated-risk individuals compared to usual care. It is unknown if the method of collection impacts data collected or if simply going directly to the patient is what makes the difference. The objective of this study was to examine differences in data detail and risk identification rates between FHH collection directly from individuals using paper-based forms and an interactive web-based platform. This is a non-randomized epidemiologic study in Singaporean population from 2016 to 2018. Intervention was paper-based versus web-based interactive platform for FHH collection. Participant demographics, FHH detail, and risk assessment results were analyzed. 882 participants enrolled in the study, 481 in the paper-based group and 401 in the web-based group with mean (SD) age of 45.4 (12.98) years and 47.5% male. Web-based FHH collection participants had an increased number of conditions per relative (p-value <0.001), greater frequency of reporting age of onset (p-value <0.001), and greater odds of receiving ≥1 risk recommendation both overall (OR: 3.99 (2.41, 6.59)) and within subcategories of genetic counselling for hereditary cancer syndromes (p-value = 0.041) and screening and prevention for breast (p-value = 0.002) and colon cancer (p-value = 0.005). This has significant implications for clinical care and research efforts where FHH is being assessed. Using interactive information technology platforms to collect FHH can improve the completeness of the data collected and result in increased rates of risk identification. Methods of data collection to maximize benefit should be taken into account in future studies and clinical care.

Family health history collected by virtual conversational agents: An empirical study to investigate the efficacy of this approach

Family health history (FHx) is one of the simplest and most cost-effective and efficient ways to collect health information that could help diagnose and treat genetic diseases at an early stage. This study evaluated the efficacy of collecting such family health histories through a virtual conversational agent (VCA) interface, a new method for collecting this information. Standard and VCA interfaces for FHx collection were investigated with 50 participants, recruited via email and word of mouth, using a within-subject experimental design with the order of the interfaces randomized and counterbalanced. Interface workload, usability, preference, and satisfaction were assessed using the NASA Task Load Index workload instrument, the IBM Computer System Usability Questionnaire, and a brief questionnaire derived from the Technology Acceptance Model. The researchers also recorded the number of errors and the total task completion time. It was found that the completion times for 2 of the 5 tasks were shorter for the VCA interface than for the standard one, but the overall completion time was longer (17 min 44 s vs. 16 min 51 s, p = .019). We also found the overall workload to be significantly lower (34.32 vs. 42.64, p = .003) for the VCA interface, and usability metrics including overall satisfaction (5.62 vs. 4.72, p < .001), system usefulness (5.76 vs. 4.84, p = .001), information quality (5.43 vs. 4.62, p < .001), and interface quality (5.66 vs. 4.64, p < .001) to be significantly higher for this interface as well. Approximately 3 out of 4 participants preferred the VCA interface to the standard one. Although the overall time taken was slightly longer than with standard interface, the VCA interface was rated significantly better across all other measures and was preferred by the participants. These findings demonstrate the advantages of an innovative VCA interface for collecting FHx, validating the efficacy of using VCAs to collect complex patient-specific data in health care.

Awareness of family health history in a predominantly young adult population

Family health history (FHH) is a key predictor of health risk and is universally important in preventive care. However, patients may not be aware of the importance of FHH, and thus, may fail to accurately or completely share FHH with health providers, thereby limiting its utility. In this study, we conducted an online survey of 294 young adults and employees based at a US university setting regarding their knowledge, sharing behaviors, and perceived importance of FHH, and use of electronic clinical tools to document and update FHH. We also evaluated two educational interventions (written and video) to promote knowledge about FHH and its importance to health. We found that 93% of respondents were highly aware of their FHH, though only 39% reported collecting it and 4% using an online FHH tool. Seventy-three percent of respondents, particularly women, had shared FHH with their doctor when prompted, and fewer had shared it with family members. Participants in the video group were significantly more likely to understand the benefits of FHH than those in the written group (p = 0.02). In summary, educational resources, either video or written, will be helpful to promote FHH collection, sharing, and use of online FHH tools.

A Community-Based Qualitative Assessment of Knowledge, Barriers, and Promoters of Communicating about Family Cancer History among African-Americans

Family cancer history (FCH) can shape prevention and early detection behaviors to decrease cancer risk. However, many individuals are unaware of increased risk for cancers based on family patterns. For some African-American communities, communication about FCH is rare and barriers have not been well studied. To optimize the use of FCH, it is crucial to understand how patients gather and share FCH with relatives and healthcare providers. We conducted four focus groups (n = 40) and seven key informant interviews (n = 9) to investigate knowledge, experiences, and barriers/promoters of FCH in the East Baltimore African-American community. Thematic analysis identified 14 distinct themes across six communication domains: participants' understanding of FCH, past FCH communication with family and providers, barriers to FCH communication, promoters of FCH communication, suggestions for future communication, and community health priorities. FCH was most often defined by narratives of family cancer experiences, and the majority of participants had shared little FCH with family members. Five psychosocial domains were commonly reported as barriers to sharing FCH: fear/denial, pride/dignity, selflessness/self-sacrifice, cancer fatalism, and distrust/skepticism of medical care. Diagnosis/death and caregiving/social support promoted FCH communication and encouraged cancer prevention behaviors such as screening. Although most participants had experienced cancer in their families, communication about FCH was low and psychosocial barriers were common. Understanding these communication domains in minority populations is crucial to developing interventions to address disparities in cancer prevention and control, particularly where effective screening and care recommendations exist for those with positive family histories.

Family health history: underused for actionable risk assessment

Family health history (FHH) is the most useful means of assessing risk for common chronic diseases. The odds ratio for risk of developing disease with a positive FHH is frequently greater than 2, and actions can be taken to mitigate risk by adhering to screening guidelines, genetic counselling, genetic risk testing, and other screening methods. Challenges to the routine acquisition of FHH include constraints on provider time to collect data and the difficulty in accessing risk calculators. Disease-specific and broader risk assessment software platforms have been developed, many with clinical decision support and informatics interoperability, but few access patient information directly. Software that allows integration of FHH with the electronic medical record and clinical decision support capabilities has provided solutions to many of these challenges. Patient facing, electronic medical record, and web-enabled FHH platforms have been developed, and can provide greater identification of risk compared with conventional FHH ascertainment in primary care. FHH, along with cascade screening, can be an important component of population health management approaches to overall reduction of risk.

Training Texas Public Health Professionals and Professionals-In-Training in Genomics

PURPOSE

The purpose of this study is to evaluate the effects of genomics training workshops for public health professionals and professionals-in-training.

DESIGN

A pre- and post-test evaluation design with 3-month follow-up.

SETTING AND PARTICIPANTS

Thirteen genomics training workshops were delivered across Texas to 377 public health professionals and professionals-in-training (66.7% were ethnic minorities).

INTERVENTION

Three-hour theory-based, face-to-face genomics training workshops focusing on family health history practice were delivered.

METHODS

We administered surveys prior to the workshops, immediately post-workshops, and at 3-month follow-up to examine the changes in participants' knowledge, attitudes, intention, self-efficacy, and behavior in adopting genomics into public health practice. Linear mixed modeling analyses were used to analyze the quantitative survey data. A content analysis was also conducted for qualitative survey data analysis.

RESULTS

Genomics practice significantly improved among public health professionals at 3-month follow-up (P < .01). For all participants, knowledge, attitudes, intention, and self-efficacy scores increased significantly immediately post-workshop compared to the pre-workshop scores (all Ps < .01). Knowledge and attitudes scores at the 3-month follow-up remained significantly higher than those scores at the pre-workshop (all Ps < .01). The feedback from workshop participants was positive.

CONCLUSION

Our genomics training workshop is an effective program that can be disseminated at a national level to establish genomic competencies among public health professionals and professionals-in-training in the United States.

Patterns of Communicating About Family Health History: Exploring Differences in Family Types, Age, and Sex

Family communication environments can be a facilitator or barrier to family cooperation and communication in collecting family health history (FHH) information, which can facilitate disease prevention. This study examined the direct and indirect effects of family communicative environments on whether individuals actively collected FHH information, as well as how age and sex differences complicate this relationship. Participants (N = 203) completed online surveys, answering close-ended questions about their family's communication patterns, how open their family is to communicating about FHH, and whether they have actively collected FHH information. Results show there was a direct effect between open family communicative environments and active collection, and found FHH communication openness was a positive partial mediator. Conversely, family environments stressing hierarchy and homogeneity of beliefs inhibit open communication about and collection of a FHH. Analysis of age and sex as moderators in the models showed a significant conditional indirect effects, which grew stronger as participants' age increased. Furthermore, results showed open family communicative environments lead to active collection of FHH for women, but not for men. Results confirm the importance of family communicative environments in facilitating or inhibiting FHH collection. Findings from the current study provide intervention points for practitioners to advise patients on the importance of collecting a FHH and guide behaviors to collect FHH information based on the family communicative environment.

Racial differences in family health history knowledge of type 2 diabetes: exploring the role of interpersonal mechanisms

Collecting complete and accurate family health history is critical to preventing type 2 diabetes. Whether there are any racial difference in family health history knowledge of type 2 diabetes and whether such differences are related to interpersonal mechanisms remain unclear. We seek to identify the interpersonal mechanisms that give rise to discrepancies in family health history knowledge of type 2 diabetes in families of different racial backgrounds. We analyze informant-dyad consensus with respect to shared family history of type 2 diabetes in 127 informants of 45 families in the greater Cincinnati area (white: 28 families, 78 informants; black/African-American: 17 families, 49 informants). We first document a difference in informant-dyad consensus by race and then test whether this difference can be explained by interpersonal ties, particularly health communication. Compared with their white counterparts, dyads in families of black/African-American background are more likely to have an uneven distribution of knowledge, with one informant knowing and the other not knowing his/her family health history. The racial difference is explained by dyads in families of black/African-American background having fewer reciprocal health communication ties. While associated with informant-dyad consensus, education, kinship ties, and closeness ties do not account for the observed racial difference. Activating health communication is a key to improving family health history knowledge, especially in families of black/African-American background. Researchers and clinicians should leverage communication ties in the family network for better collection and utilization of family health history in preventive services.

What characterizes cancer family history collection tools? A critical literature review

Background

Many tools have been developed for the standardized collection of cancer family history (fh). However, it remains unclear which tools have the potential to help health professionals overcome traditional barriers to collecting such histories. In this review, we describe the characteristics, validation process, and performance of existing tools and appraise the extent to which those tools can support health professionals in identifying and managing at-risk individuals.

Methods

Studies were identified through searches of the medline, embase, and Cochrane central databases from October 2015 to September 2016. Articles were included if they described a cancer fh collection tool, its use, and its validation process.

Results

Based on seventy-nine articles published between February 1978 and September 2016, 62 tools were identified. Most of the tools were paper-based and designed to be self-administered by lay individuals. One quarter of the tools could automatically produce pedigrees, provide cancer-risk assessment, and deliver evidence-based recommendations. One third of the tools were validated against a standard reference for collected fh quality and cancer-risk assessment. Only 3 tools were integrated into an electronic health records system.

Conclusions

In the present review, we found no tool with characteristics that might make it an efficient clinical support for health care providers in cancer-risk identification and management. Adequately validated tools that are connected to electronic health records are needed to encourage the systematic identification of individuals at increased risk of cancer.

Review and Comparison of Electronic Patient-Facing Family Health History Tools

Family health history (FHx) is one of the most important pieces of information available to help genetic counselors and other clinicians identify risk and prevent disease. Unfortunately, the collection of FHx from patients is often too time consuming to be done during a clinical visit. Fortunately, there are many electronic FHx tools designed to help patients gather and organize their own FHx information prior to a clinic visit. We conducted a review and analysis of electronic FHx tools to better understand what tools are available, to compare and contrast to each other, to highlight features of various tools, and to provide a foundation for future evaluation and comparisons across FHx tools. Through our analysis, we included and abstracted 17 patient-facing electronic FHx tools and explored these tools around four axes: organization information, family history collection and display, clinical data collected, and clinical workflow integration. We found a large number of differences among FHx tools, with no two the same. This paper provides a useful review for health care providers, researchers, and patient advocates interested in understanding the differences among the available patient-facing electronic FHx tools.

The contribution of family history to the burden of diagnosed diabetes, undiagnosed diabetes, and prediabetes in the United States: analysis of the National Health and Nutrition Examination Survey, 2009-2014

PURPOSE

Given the importance of family history in the early detection and prevention of type 2 diabetes, we quantified the public health impact of reported family health history on diagnosed diabetes (DD), undiagnosed diabetes (UD), and prediabetes (PD) in the United States.

METHODS

We used population data from the National Health and Nutrition Examination Survey 2009-2014 to measure the association of reported family history of diabetes with DD, UD, and PD.

RESULTS

Using polytomous logistic regression and multivariable adjustment, family history prevalence ratios were 4.27 (confidence interval (CI): 3.57, 5.12) for DD, 2.03 (CI: 1.56, 2.63) for UD, and 1.26 (CI: 1.09, 1.44) for PD. In the United States, we estimate that 10.1 million DD cases, 1.4 million UD cases, and 3.9 million PD cases can be attributed to having a family history of diabetes.

CONCLUSION

These findings confirm that family history of diabetes has a major public health impact on diabetes in the United States. In spite of the recent interest and focus on genomics and precision medicine, family health history continues to be an integral component of public health campaigns to identify persons at high risk for developing type 2 diabetes and early detection of diabetes to prevent or delay complications.

Patient preferences for direct-to-consumer telemedicine services: a nationwide survey

BACKGROUND

Direct-to-consumer (DTC) telemedicine providers has the potential to change the traditional patient-physician relationship. Professional medical organizations recommend that telemedicine exist within the medical home. This study aims to understand patients' preferences and desires for DTC telemedicine.

METHODS

We conducted a nationwide survey of 4345 survey respondents demographically balanced to represent the United States adult population. The survey consisted of questions assessing the respondents' attributes and their willingness and comfortability using telemedicine as well as the importance and desired attributes of a provider providing care via telemedicine.

RESULTS

Relatively few respondents (3.5%) had ever had an online video visit with their care provider. Respondents were more willing to see their own provider via telemedicine than unwilling (52% vs. 25%). Additionally, respondents were less willing to use telemedicine to see a different provider from the same healthcare organization (35%) and were least willing to see a different provider from a different organization (19%). Forty-one percent of respondents felt it was unimportant that their current provider offer telemedicine, and only 15% would consider leaving their current provider to a new provider who offers telemedicine as an option. More than half (56%) of respondents felt it was important to have an established relationship with a provider they're having a telemedicine visit with. Nearly two-thirds of respondents (60%) felt it was important for a telemedicine provider to have access to their health records.

CONCLUSIONS

Patients prefer to use telemedicine with their own doctor with whom they have an established relationship.

Leveraging the Family Influence of Women in Prostate Cancer Efforts Targeting African American Men

BACKGROUND

Incidence rate of prostate cancer among African American (AA) men is 1.6 times that in White men. Prevention efforts in this population have typically been through faith-based organizations and barber shops, with a few including significant others. Culturally, women are known to have a strong influence in the AA family. The current study assessed prostate cancer knowledge and explored perceptions on the roles of women in prostate cancer prevention.

METHODS

To assess prostate cancer knowledge, a 25-item questionnaire was administered to convenience samples of AA women (n = 297) and men (n = 199). Four focus groups were conducted to explore perceptions on the role of women in prostate cancer prevention.

RESULTS

Men had a higher mean score (13.2; max of 25) than women (11.4) for knowledge of prostate cancer. For the men, higher knowledge scores were associated with having a family member diagnosed with prostate cancer and likelihood to engage healthcare providers about prostate cancer (p < 0.05). Themes from the focus groups included education/information resource, support and encouragement, instituting a "culture" of regular primary care, modeling healthcare-seeking behavior, surveillance and monitoring, motivation, and influencing diet. The major barrier to women engaging in the roles identified was limited knowledge.

CONCLUSION

Including women in educational interventions may yield added benefits particularly in encouraging AA men to seek regular primary care. This affords men opportunities for dialog with healthcare providers about prostate cancer and informed decision making regarding screening.

Targeting breast cancer outcomes-what about the primary relatives?

BACKGROUND

Up to 65% of newly diagnosed breast cancer patients had not been screened correctly before diagnosis resulting in increased stage of cancer at presentation. This study assessed whether their primary relatives are, in turn, assessed appropriately.

METHODS

An ethically approved prospective study involving 274 primary relatives of women diagnosed with breast cancer, between 2009-2012, at a symptomatic breast unit in Ireland. Telephone interview established: demographics, menstrual history, family history verification, breast screening history. Personal risk level was calculated and whether current screening met screening guidelines. Participants were enrolled into appropriate screening programs if currently not in one and results analyzed.

RESULTS

Two hundred and fifteen of the 280 (76.8%) newly diagnosed patients responded giving details of their 274 primary relatives; this made up the study cohort. Mean age 50 ± 10 (35-75). Thirty two percent were low risk, 64% moderate and 4% high. 190/274 (69%) were being screened appropriately. Seventy five relatives were then assessed with: mammography in 55, Mg and US in 16. Four underwent a biopsy and to date none had cancer. Surveillance was: annual screening in 48%; national screening program and General Practitioner (GP) in 33%; GP only in over 65s in 13%; 6% await further assessment at specialist genetics clinics where their surveillance will be decided.

CONCLUSIONS

This study has identified an opportunity to improve the delivery of appropriate screening to higher risk primary relatives of patients with breast cancer. This necessitates an integrated national approach involving providers of primary care, patients and screening breast programs.

Advances in the Treatment of Pediatric Bone Sarcomas

Bone tumors make up a significant portion of noncentral nervous system solid tumor diagnoses in pediatric oncology patients. Ewing sarcoma and osteosarcoma, both with distinct clinical and pathologic features, are the two most commonly encountered bone cancers in pediatrics. Although mutations in the germline have classically been more associated with osteosarcoma, there is recent evidence germline alterations in patients with Ewing sarcoma also play a significant role in pathogenesis. Treatment advances in this patient population have lagged behind that of other pediatric malignancies, particularly targeted interventions directed at the biologic underpinnings of disease. Recent advances in biologic and genomic understanding of these two cancers has expanded the potential for therapeutic advancement and prevention. In Ewing sarcoma, directed focus on inhibition of EWSR1-FLI1 and its effectors has produced promising results. In osteosarcoma, instead of a concentrated focus on one particular change, largely due to tumor heterogeneity, a more diversified approach has been adopted including investigations of growth factors inhibitors, signaling pathway inhibitors, and immune modulation. Continuing recently made treatment advances relies on clinical trial design and enrollment. Clinical trials should include incorporation of biological findings; specifically, for Ewing sarcoma, assessment of alternative fusions and, for osteosarcoma, stratification utilizing biomarkers. Expanded cancer genomics knowledge, particularly with solid tumors, as it relates to heritability and incorporation of family history has led to early identification of patients with cancer predisposition. In these patients through application of cost-effective evidence-based screening techniques the ultimate goal of cancer prevention is becoming a realization.

Chinese Americans' Views and Use of Family Health History: A Qualitative Study

Objective

Family health history (FHH) plays a significant role in early disease detection and prevention. Although Asian Americans are the fastest growing U.S. immigrant group, no data exists regarding Chinese Americans’ (the largest Asian subgroup) views and use of FHH. This study examines this important issue.

Methods

Forty-nine adults from southern U.S. Chinese American communities participated in this qualitative, semi-structured, in-depth interview study. Interviews were audio recorded, transcribed, and analyzed with a content analysis approach.

Results

Although the majority of participants perceived the importance of collecting FHH, most lacked FHH knowledge and failed to collect FHH information. Barriers affecting FHH collection and discussion among family members included long-distance separation from family members, self-defined “healthy family,” and Chinese cultural beliefs. Lack of doctors’ inquiries, never/rarely visiting physicians, self-defined “healthy family,” perceived insignificance of discussing FHH with doctors, and Chinese cultural beliefs were the obstacles in communicating FHH with physicians.

Conclusions

Chinese Americans had limited usage of their FHH and faced cultural, distance, knowledge-, and healthcare system-related barriers that influenced their FHH use. Developing FHH education programs for Chinese Americans is highly recommended.

Assessing Health Literacy in Deaf American Sign Language Users

Communication and language barriers isolate Deaf American Sign Language (ASL) users from mass media, health care messages, and health care communication, which, when coupled with social marginalization, places them at a high risk for inadequate health literacy. Our objectives were to translate, adapt, and develop an accessible health literacy instrument in ASL and to assess the prevalence and correlates of inadequate health literacy among Deaf ASL users and hearing English speakers using a cross-sectional design. A total of 405 participants (166 Deaf and 239 hearing) were enrolled in the study. The Newest Vital Sign was adapted, translated, and developed into an ASL version (ASL-NVS). We found that 48% of Deaf participants had inadequate health literacy, and Deaf individuals were 6.9 times more likely than hearing participants to have inadequate health literacy. The new ASL-NVS, available on a self-administered computer platform, demonstrated good correlation with reading literacy. The prevalence of Deaf ASL users with inadequate health literacy is substantial, warranting further interventions and research.