Family history: a comprehensive genetic risk assessment method for the chronic conditions of adulthood

A computational framework of routine test data for the cost-effective chronic disease prediction

Chronic diseases, because of insidious onset and long latent period, have become the major global disease burden. However, the current chronic disease diagnosis methods based on genetic markers or imaging analysis are challenging to promote completely due to high costs and cannot reach universality and popularization. This study analyzed massive data from routine blood and biochemical test of 32 448 patients and developed a novel framework for cost-effective chronic disease prediction with high accuracy (AUC 87.32%). Based on the best-performing XGBoost algorithm, 20 classification models were further constructed for 17 types of chronic diseases, including 9 types of cancers, 5 types of cardiovascular diseases and 3 types of mental illness. The highest accuracy of the model was 90.13% for cardia cancer, and the lowest was 76.38% for rectal cancer. The model interpretation with the SHAP algorithm showed that CREA, R-CV, GLU and NEUT% might be important indices to identify the most chronic diseases. PDW and R-CV are also discovered to be crucial indices in classifying the three types of chronic diseases (cardiovascular disease, cancer and mental illness). In addition, R-CV has a higher specificity for cancer, ALP for cardiovascular disease and GLU for mental illness. The association between chronic diseases was further revealed. At last, we build a user-friendly explainable machine-learning-based clinical decision support system (DisPioneer: http://bioinfor.imu.edu.cn/dispioneer) to assist in predicting, classifying and treating chronic diseases. This cost-effective work with simple blood tests will benefit more people and motivate clinical implementation and further investigation of chronic diseases prevention and surveillance program.

The Onset of Depression in Middle-Aged Presumed Healthy Slovenian Family Practice Attendees and Its Associations with Genetic Risk Assessment, Quality of Life and Health Status: A Contribution for Family Medicine Practitioners' Early Detection

Despite depression being a major driver of morbidity and mortality, the majority of primary care patients remain undiagnosed, so this study aimed to assess the prevalence of depression and the association with demographic and clinical variables, genetic risk, and quality of life. The participants were presumably healthy model family medicine practice (MFMP) attendees between 30 and 65 years of age and recruited during a preventive check-up in 2019. Each of the 40 pre-selected MFMP pragmatically invited 30 attendees to voluntarily participate. They completed a questionnaire of demographic, clinical, and social determinants, as well as a three-generational family history. The results were analyzed using multivariable modelling to calculate the associations with signs of depression. A modified Scheuner method was used to calculate the level genetic risk level using family history. Of 968 participants, aged 42.8 ± 8.6 years, 627 (64.8%) were women. The prevalence of depression was 4.1%. Signs of depression were negatively associated with health-related quality of life score, in particular in the domains of self-care (p = 0.001) and anxiety/depression (p < 0.001). Depression was also associated with predicted high risk for comorbidities given the family history (p = 0.030). Primary care directed at improving patients’ quality of life should implement more widespread screening for mental health disorders. Family history for disease even beyond depression can be used by physicians as an important primary prevention tool.

Motivating Mexican American adults to share family history with healthcare providers

Family history of metabolic conditions is a primary factor for clinicians to consider when administering preventive care. Sharing this information with healthcare providers proactively is therefore important to individual health outcomes. This brief report seeks to identify factors associated with sharing family history with healthcare providers in individuals of Mexican heritage. Data were obtained from a health education intervention study conducted during 2008–2010, which recruited 497 adult participants from 162 multigenerational households in Houston, Texas to receive family history-based risk feedback generated by Family Healthware™. Households were randomized to receive a pedigree of metabolic conditions or a pedigree coupled with supplementary information about one’s personalized risk assessment and behavioral recommendations. Participants completed two follow-up surveys at three and ten months post intervention, respectively. Analysis based on 296 participants from 147 households who read but did not share their feedback at three-month follow-up suggests benefits of providing personalized risk assessment and tailored behavioral recommendations in addition to a simple pedigree. Participants receiving supplementary risk feedback are more likely to share it with family members at three-month follow-up, which is associated with increased sharing and willingness to share risk feedback with healthcare providers at ten-month follow-up. The findings highlight the importance of family relationships in medical information disclosure in Mexican American adults. Future interventions should capitalize on family relationships in health education and promotion programs for optimal prevention of metabolic conditions in at-risk populations.

Family history assessment significantly enhances delivery of precision medicine in the genomics era

BACKGROUND

Family history has traditionally been an essential part of clinical care to assess health risks. However, declining sequencing costs have precipitated a shift towards genomics-first approaches in population screening programs rendering the value of family history unknown. We evaluated the utility of incorporating family history information for genomic sequencing selection.

METHODS

To ascertain the relationship between family histories on such population-level initiatives, we analysed whole genome sequences of 1750 research participants with no known pre-existing conditions, of which half received comprehensive family history assessment of up to four generations, focusing on 95 cancer genes.

RESULTS

Amongst the 1750 participants, 866 (49.5%) had high-quality standardised family history available. Within this group, 73 (8.4%) participants had an increased family history risk of cancer (increased FH risk cohort) and 1 in 7 participants (n = 10/73) carried a clinically actionable variant inferring a sixfold increase compared with 1 in 47 participants (n = 17/793) assessed at average family history cancer risk (average FH risk cohort) (p = 0.00001) and a sevenfold increase compared to 1 in 52 participants (n = 17/884) where family history was not available (FH not available cohort) (p = 0.00001). The enrichment was further pronounced (up to 18-fold) when assessing only the 25 cancer genes in the American College of Medical Genetics (ACMG) Secondary Findings (SF) genes. Furthermore, 63 (7.3%) participants had an increased family history cancer risk in the absence of an apparent clinically actionable variant.

CONCLUSIONS

These findings demonstrate that the collection and analysis of comprehensive family history and genomic data are complementary and in combination can prioritise individuals for genomic analysis. Thus, family history remains a critical component of health risk assessment, providing important actionable data when implementing genomics screening programs.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02791152 . Retrospectively registered on May 31, 2016.

Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

Background

Patients’ family history (FH) is a critical risk factor associated with numerous diseases. However, FH information is not well captured in the structured database but often documented in clinical narratives. Natural language processing (NLP) is the key technology to extract patients’ FH from clinical narratives. In 2019, the National NLP Clinical Challenge (n2c2) organized shared tasks to solicit NLP methods for FH information extraction.

Objective

This study presents our end-to-end FH extraction system developed during the 2019 n2c2 open shared task as well as the new transformer-based models that we developed after the challenge. We seek to develop a machine learning–based solution for FH information extraction without task-specific rules created by hand.

Methods

We developed deep learning–based systems for FH concept extraction and relation identification. We explored deep learning models including long short-term memory-conditional random fields and bidirectional encoder representations from transformers (BERT) as well as developed ensemble models using a majority voting strategy. To further optimize performance, we systematically compared 3 different strategies to use BERT output representations for relation identification.

Results

Our system was among the top-ranked systems (3 out of 21) in the challenge. Our best system achieved micro-averaged F1 scores of 0.7944 and 0.6544 for concept extraction and relation identification, respectively. After challenge, we further explored new transformer-based models and improved the performances of both subtasks to 0.8249 and 0.6775, respectively. For relation identification, our system achieved a performance comparable to the best system (0.6810) reported in the challenge.

Conclusions

This study demonstrated the feasibility of utilizing deep learning methods to extract FH information from clinical narratives.

Adult adoptees and their use of direct-to-consumer genetic testing: Searching for family, searching for health

Use of direct-to-consumer genetic testing (DTC-GT) is rapidly growing in the United States. Yet little is known about how specific populations like domestic and intercountry adoptees use DTC-GT. Adoptees often have little to no biological family history, which may affect how they use DTC-GT. This study aimed to examine adult adoptees' motivations to pursue DTC-GT, experiences completing a test, and reasons for not completing one. An online survey consisting of 41 closed-ended questions was distributed to domestic and intercountry adult adoptees in a snowball convenience method addressing seven areas: (a) demographics and adoption experience, (b) family health history, (c) familiarity with DTC-GT, (d) actual DTC-GT experience, (e) hypothetical DTC-GT experience, (f) health results, and (g) satisfaction with DTC-GT. Descriptive statistics were performed on participant demographics and adoption characteristics, and chi-squared and Fisher's exact tests compared demographics and adoption characteristics by familiarity with DTC-GT and completion of DTC-GT. A total of 117 adoptees met criteria and completed the survey. Adoptees were motivated to use DTC-GT to search for biological family (83.0%), verify race and ethnicity (72.3%), and find out where ancestors came from (66.0%). Most participants completed DTC-GT (80.3%); completion was significantly associated with searching for biological relatives (p < 0.01) and with older age (p = 0.05). For those who received health information (59.6%), 44.4% of participants reported talking with a health provider. Adoptees are using DTC-GT to search for biological relatives, confirm their ethnicity and ancestry, and gain information about their health. Genetic counselors and health professionals should be prepared to address DTC-GT with adoptees as nearly half discussed their results with providers; findings from this study provide insight into how this unique population uses DTC-GT, and the possibility of patient-centered, tailored care for adopted patients who do not have family health history.

Development of an Algorithm for Determining of Genetic Risk at the Primary Healthcare Level - A New Tool for Primary Prevention: A Study Protocol

INTRODUCTION

Family history (FH) is an important part of the patients' medical history during preventive management at model family medicine practices (MFMP). It currently includes a one (or two) generational inquiry, predominately in terms of cardiovascular diseases, arterial hypertension, and diabetes, but not of other diseases with a probable genetic aetiology. Beside family history, no application-based algorithm is available to determine the risk level for specific chronic diseases in Slovenia.

METHODS

A web application-based algorithm aimed at determining the risk level for selected monogenic and polygenic diseases will be developed. The data will be collected in MFMP; approximately 40 overall with a sample including healthy preventive examination attendees (approximately 1,000). Demographic data, a three-generational FH, a medical history of acquired and congenital risk factors for the selected diseases, and other important clinical factors will be documented.

RESULTS

The results will be validated by a clinical genetic approach based on family pedigrees and the next-generation genetic sequencing method. After the risk of genetic diseases in the Slovenian population has been determined, clinical pathways for acting according to the assessed risk level will be prepared.

CONCLUSION

By means of a public health tool providing an assessment of family predisposition, a contribution to the effective identification of people at increased risk of the selected monogenic and polygenic diseases is expected, lessening a significant public health burden.

All things considered, my risk for diabetes is medium: A risk personalization process of familial risk for type 2 diabetes

BACKGROUND

A positive family history of type 2 diabetes (T2D) has been associated with risk awareness and risk-reducing behaviours among the unaffected relatives. Yet, little is known about how people with a positive family history for diabetes develop and manage their personal sense of risk.

OBJECTIVE

To characterize two key concepts, salience and vulnerability, within the familial risk perception (FRP) model among unaffected individuals, at increased familial risk for T2D.

DESIGN

We conducted a mixed method study. Descriptions of salience and vulnerability were collected through semi-structured interviews. Participant's perception of self-reported risk factors (family history, age, race/ethnicity, medical history, weight and exercise) was measured using the Perceived Risk Factors for T2D Tool and was compared to a clinical evaluation of the same risk factors.

RESULTS

We identified two components of salience: (a) concern for developing T2D and (b) risk awareness triggers, and two features of vulnerability: (a) statement of risk and (b) risk assessment devices. Although few participants (26%) were concordant between their perceived and clinical overall T2D risk, concordance for individual risk factors was higher, ranging from 42% (medical history) to 90% (family history).

DISCUSSION AND CONCLUSION

Both familial and non-familial events lead people to contemplate their T2D risk, even among people who have a positive family history. Participants often downplayed their overall risk and underestimated their overall risk compared to a clinical risk assessment of the same self-reported risk factors. Clinicians could leverage key components of the FRP process as way to engage patients in risk reduction strategies earlier.

Screening for Rare Genetic Variants Associated with Atherosclerosis: Opportunity for Personalized Medicine

Atherosclerosis and its clinical manifestations is a leading cause of disease burden worldwide. Currently, most of the individuals carrying a strong predisposition to complications of atherosclerosis because of monogenic dyslipidaemias remain undiagnosed and consequently are not given an opportunity for prevention. Therefore, one of the main public health challenges remains the identification of individuals with significantly increased risk for atherosclerosis due to monogenic predisposition. Next-Generation Sequencing (NGS) has revolutionized genetic testing in symptomatic patients. Although new genomic technologies are still developing, and evidence on the use of this methodology for screening purposes is still lacking, genome testing might provide a powerful tool for the identification of individuals at risk. This may pave the way for the implementation of personalized medicine in the field of atherosclerosis prevention. In this review, we discuss the potential of genetic screening for atherosclerosis prevention and present the potential target of 17 genes responsible for monogenic dyslipidaemias associated with atherosclerosis.

A Bayesian hierarchical logistic regression model of multiple informant family health histories

Background

Family health history (FHH) inherently involves collecting proxy reports of health statuses of related family members. Traditionally, such information has been collected from a single informant. More recently, research has suggested that a multiple informant approach to collecting FHH results in improved individual risk assessments. Likewise, recent work has emphasized the importance of incorporating health-related behaviors into FHH-based risk calculations. Integrating both multiple accounts of FHH with behavioral information on family members represents a significant methodological challenge as such FHH data is hierarchical in nature and arises from potentially error-prone processes.

Methods

In this paper, we introduce a statistical model that addresses these challenges using informative priors for background variation in disease prevalence and the effect of other, potentially correlated, variables while accounting for the nested structure of these data. Our empirical example is drawn from previously published data on families with a history of diabetes.

Results

The results of the comparative model assessment suggest that simply accounting for the structured nature of multiple informant FHH data improves classification accuracy over the baseline and that incorporating family member health-related behavioral information into the model is preferred over alternative specifications.

Conclusions

The proposed modelling framework is a flexible solution to integrate multiple informant FHH for risk prediction purposes.

Electronic supplementary material

The online version of this article (10.1186/s12874-019-0700-5) contains supplementary material, which is available to authorized users.

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.

Genetic cancer risk assessment in general practice: systematic review of tools available, clinician attitudes, and patient outcomes

BACKGROUND

A growing demand for cancer genetic services has led to suggestions for the involvement of GPs. How, and in which conditions, they can be involved, and whether there are important barriers to implementation should be ascertained.

AIM

To review the tools available, clinician attitudes and experiences, and the effects on patients of genetic cancer risk assessment in general practice.

DESIGN AND SETTING

Systematic review of papers published worldwide between 1996 and 2017.

METHOD

The MEDLINE (via Ovid), EMBASE, Cochrane Library, CINAHL, and PsycINFO databases and grey literature were searched for entries dating from January 1996 to December 2017. Study quality was assessed with relevant Critical Appraisal Skills Programme tool checklists and a narrative synthesis of findings was conducted.

RESULTS

In total, 40 studies were included in the review. A variety of testing and screening tools were available for genetic cancer risk assessment in general practice, principally for breast, breast-ovarian, and colorectal cancer risk. GPs often reported low knowledge and confidence to engage with genetic cancer risk assessment; however, despite time pressures and concerns about confidentiality and the impact of results on family members, some recognised the potential importance relating to such a development of the GP's role. Studies found few reported benefits for patients. Concerns about negative impacts on patient anxiety and cancer worries were largely not borne out.

CONCLUSION

GPs may have a potential role in identifying patients at risk of hereditary cancer that can be facilitated by family-history tools. There is currently insufficient evidence to support the implementation of population-wide screening for genetic cancer risk, especially given the competing demands of general practice.

Mental Models of Cause and Inheritance for Type 2 Diabetes Among Unaffected Individuals Who Have a Positive Family History

Using the familial risk perception (FRP) model as a framework, we elicited causal and inheritance explanations for type 2 diabetes (T2D) from people who do not have T2D but have a family history for it. We identified four composite mental models for cause of T2D: (a) purely genetic; (b) purely behavioral/environmental; (c) direct multifactorial, in which risk factors interact and over time directly lead to T2D; and (d) indirect multifactorial, in which risk factors interact and over time cause a precursor health condition (such as obesity or metabolic syndrome) that leads to T2D. Interestingly, participants described specific risk factors such as genetics, food habits, lifestyle, weight, and culture as "running in the family." Our findings provide insight into lay beliefs about T2D that can be used by clinicians to anticipate or make sense of responses to questions they pose to patients about mental models for T2D.

Developing Shared Appraisals of Diabetes Risk Through Family Health History Feedback: The Case of Mexican-Heritage Families

Background

Collecting complete and accurate family health history is critical to preventing type 2 diabetes.

Purpose

We seek to identify the optimal risk feedback approach that facilitates risk communication between parents and their adult children and helps them develop shared appraisals of family history of type 2 diabetes.

Methods

In a sample of parent-adult child dyads from 125 Mexican-heritage families residing in Houston, Texas, we examine change in parent-child dyadic (dis)agreement with respect to their shared family health history from baseline to 10 months after receipt of risk feedback generated by Family Healthware. A 2 × 2 factorial design is applied to test how the recipient (one parent or all family members) and the content (risk assessment with or without behavioral recommendations) of the feedback affect (dis)agreement through interpersonal ties, particularly dyadic risk communication.

Results

Providing risk assessment without behavioral recommendations to the parent, but not the adult child, shifts the dyads toward agreement (relative risk ratio [RRR]= 1.78, 95% confidence interval [CI] [1.18-2.67]), by activating reciprocal risk communication between parents and children (RRR =2.70, 95% CI [1.81-4.03]). Dyads with close interpersonal ties are more likely to shift toward agreement (RRR = 3.09, 95% CI [1.89-5.07]).

Conclusion

Programs aimed at improving family health history knowledge and accuracy of reports should tailor risk feedback strategically for better intervention effect and leverage a network approach in disease prevention among at-risk minority and/or immigrant populations.

Trial Registration Number

NCT00469339.

Heart disease risk information, encouragement, and physical activity among Mexican-origin couples: Self- or spouse-driven change?

Family health history is an accessible, clinically-recommended genomic tool that improves health risk evaluation. It captures both genetic and modifiable risk factors that cluster within families. Thus, families represent a salient context for family health history-based interventions that motivate engagement in risk-reducing behaviors. While previous research has explored how individuals respond to their personal risk information, we extend this inquiry to consider how individuals respond to their spouse's risk information among a sample of Mexican-Americans. One hundred and sixty spouse-dyads within Mexican-heritage households received a pedigree or a pedigree and personalized risk assessments, with or without behavioral recommendations. Analyses of Covariance (ANCOVAs) were conducted to assess the relationship between risk feedback, both personal and spouse, and self-reported physical activity levels at 3-month and 10-month assessments, controlling for baseline levels. The effect of being identified as an encourager of spouse's healthy weight was also evaluated. Personal feedback had no effect on participants' physical activity at either 3- or 10-month assessments. However, husbands' risk information was associated with wives' physical activity levels at 3-month assessment, with women whose husbands received both increased risk feedback and behavioral recommendations engaging in significantly higher physical activity levels than all other women. At 10-month follow-up, physical activity levels for both husbands and wives differed depending on whether they encouraged their spouse's healthy weight. Spousal risk information may be a stronger source of motivation to improve physical activity patterns than personal risk information, particularly for women. Interventions that activate interpersonal encouragement among spouses may more successfully extend intervention effects.

Genetics in palliative oncology: a missing agenda? A review of the literature and future directions

PURPOSE

In the palliative oncology setting, genetic assessment may not impact on the patient's management but can be of vital importance to their surviving relatives. Despite care of the family being central to the ethos of palliative care, little is known about how hereditary aspects of cancer are addressed in this setting. This review aims to examine current practices, identify practice barriers and determine the genetic information and support needs of patients, family members and health providers.

METHODS

Key databases were systematically searched to identify both quantitative and qualitative studies that addressed these aims. Data was extracted and coded using thematic analysis.

RESULTS

Eight studies were included for review. Suboptimal genetic practices were identified, with lack of knowledge and poor confidence amongst providers reported as barriers in both qualitative and quantitative studies. Providers expressed concern about the emotional impact of initiating these discussions late in the disease trajectory; however, qualitative interviews amongst palliative patients suggested there may be emotional benefits.

CONCLUSIONS

All lines of evidence suggest that genetics is currently missing from the palliative agenda, signifying lost opportunities for mutation detection, genetic counselling and appropriate risk management for surviving relatives. There is an urgent need for interventions to improve provider knowledge and awareness of genetic referral pathways and for research into the genetic information and support needs of palliative care patients.

Family history of venous thromboembolism as a risk factor and genetic research tool

Familial clustering of venous thromboembolism (VTE) was described as far back as 1905 by Briggs. Although Egeberg discovered inherited deficiency of antithrombin in 1965, it was not until Dahlback discovered resistance to activated protein C in 1993 that it became clear that genetic factors are common risk factors of VTE. Several genes have been linked to familial aggregation of VTE and genome-wide association studies have found several novel gene loci. Still, it has been estimated that much of the heritability for VTE remains to be discovered. Family history (FH) of VTE is therefore still important to determine whether a patient has an increased genetic risk of VTE. FH has the potential to represent the sum of effects and interactions between environmental and genetic factors. In this article the design, methodology, results, clinical and genetic implications of FH studies of VTE are reviewed. FH in first-degree relatives (siblings and/or parents) is associated with a 2–3 times increased familial relative risk (FRR). However, the FRR is dependent on age, number of affected relatives, and presentation of VTE (provoked/unprovoked). Especially high familial risks are observed in individuals with two or more affected siblings (FFR> 50). However, the familial risk for recurrent VTE is much lower or non-significant. Moreover, FH of VTE appears mainly to be important for venous diseases (i. e. VTE and varicose veins). The familial associations with other diseases are weaker. In conclusion, FH of VTE is an important research tool and a clinically potential useful risk factor for VTE.

The Impact of Traditional Food and Lifestyle Behavior on Epigenetic Burden of Chronic Disease

Noncommunicable chronic diseases (NCCDs) are the leading causes of morbidity and mortality globally. The mismatch between present day diets and ancestral genome is suggested to contribute to the NCCDs burden, which is promoted by traditional risk factors like unhealthy diets, physical inactivity, alcohol and tobacco. However, epigenetic evidence now suggests that cumulatively inherited epigenetic modifications may have made humans more prone to the effects of present day lifestyle factors. Perinatal starvation was widespread in the 19th century. This together with more recent events like increasing consumption of western and low fiber diets, smoking, harmful use of alcohol, physical inactivity, and environmental pollutants may have programed the human epigenome for higher NCCDs risk. In this review, on the basis of available epigenetic data it is hypothesized that transgenerational effects of lifestyle factors may be contributing to the current global burden of NCCDs. Thus, there is a need to reconsider prevention strategies so that the subsequent generations will not have to pay for our sins and those of our ancestors.

High-Definition Medicine

The foundation for a new era of data-driven medicine has been set by recent technological advances that enable the assessment and management of human health at an unprecedented level of resolution-what we refer to as high-definition medicine. Our ability to assess human health in high definition is enabled, in part, by advances in DNA sequencing, physiological and environmental monitoring, advanced imaging, and behavioral tracking. Our ability to understand and act upon these observations at equally high precision is driven by advances in genome editing, cellular reprogramming, tissue engineering, and information technologies, especially artificial intelligence. In this review, we will examine the core disciplines that enable high-definition medicine and project how these technologies will alter the future of medicine.

Put the Family Back in Family Health History: A Multiple-Informant Approach

INTRODUCTION

An accurate family health history is essential for individual risk assessment. This study uses a multiple-informant approach to examine whether family members have consistent perceptions of shared familial risk for four common chronic conditions (heart disease, Type 2 diabetes, high cholesterol, and hypertension) and whether accounting for inconsistency in family health history reports leads to more accurate risk assessment.

METHODS

In 2012-2013, individual and family health histories were collected from 127 adult informants of 45 families in the Greater Cincinnati Area. Pedigrees were linked within each family to assess inter-informant (in)consistency regarding common biological family member's health history. An adjusted risk assessment based on pooled pedigrees of multiple informants was evaluated to determine whether it could more accurately identify individuals affected by common chronic conditions, using self-reported disease diagnoses as a validation criterion. Analysis was completed in 2015-2016.

RESULTS

Inter-informant consistency in family health history reports was 54% for heart disease, 61% for Type 2 diabetes, 43% for high cholesterol, and 41% for hypertension. Compared with the unadjusted risk assessment, the adjusted risk assessment correctly identified an additional 7%-13% of the individuals who had been diagnosed, with a ≤2% increase in cases that were predicted to be at risk but had not been diagnosed.

CONCLUSIONS

Considerable inconsistency exists in individual knowledge of their family health history. Accounting for such inconsistency can, nevertheless, lead to a more accurate genetic risk assessment tool. A multiple-informant approach is potentially powerful when coupled with technology to support clinical decisions.

Family history of myocardial infarction, stroke and diabetes and cardiometabolic markers in children

AIMS/HYPOTHESIS

Despite the overlap in occurrence of cardiovascular disease (CVD) and type 2 diabetes and their risk factors, family history of these diseases has not yet been investigated simultaneously in relation to cardiometabolic markers in offspring. We examined how a family history of CVD and/or diabetes relates to cardiometabolic markers in offspring, and to what extent these diseases independently contribute to cardiometabolic markers.

METHODS

We used data from 1,374 12-year-old children and their parents participating in a birth cohort study in the Netherlands. Family history of CVD (myocardial infarction [MI] and stroke) and diabetes were reported by the parents. Children were classified as 'no', 'moderate' or 'strong' family history, based on early/late onset of disease in parents and grandparents. Cardiometabolic markers were measured at 12 years of age: waist circumference, cholesterol, blood pressure and HbA1c.

RESULTS

Compared with those with no family history, children with a strong family history of MI and/or stroke and/or diabetes (29% of the study population) had 0.13 mmol/l higher total cholesterol (TC) (95% CI 0.03, 0.23) and 0.18 higher TC/HDL-cholesterol (HDLC) ratio (95% CI 0.04, 0.32). A strong family history of MI or diabetes was independently associated with unfavourable cardiometabolic markers specific to those diseases. These associations remained after adjusting for BMI. Children with a moderate family history had no unfavourable cardiometabolic markers.

CONCLUSIONS/INTERPRETATION

One-third of the children had a strong family history of CVD and/or diabetes. These children had higher TC levels and TC/HDLC ratios than children with no family history. A strong family history of MI or diabetes was independently associated with unfavourable cardiometabolic markers specific to those diseases.

What You Don't Know: Improving Family Health History Knowledge among Multigenerational Families of Mexican Origin

BACKGROUND

This study investigated diabetes and heart disease family health history (FHH) knowledge and changes after providing personalized disease risk feedback.

METHODS

A total of 497 adults from 162 families of Mexican origin were randomized by household to conditions based on feedback recipient and content. Each provided personal and relatives' diabetes and heart disease diagnoses and received feedback materials following baseline assessment. Multivariate models were fitted to identify factors associated with the rate of 'don't know' FHH responses.

RESULTS

At baseline, US nativity was associated with a higher 'don't know' response rate (p = 0.002). Though confounded by country of birth, younger age showed a trend toward higher 'don't know' response rates. Overall, average 'don't know' response rates dropped from 20 to 15% following receipt of feedback (p < 0.001). An intervention effect was noted, as 'don't know' response rates decreased more in households where one family member (vs. all) received supplementary risk assessments (without behavioral recommendations; p = 0.011).

CONCLUSIONS

Limited FHH knowledge was noted among those born in the US and younger participants, representing a key population to reach with intervention efforts. The intervention effect suggests that 'less is more', indicating the potential for too much information to limit health education program effectiveness.

What does Medicaid expansion mean for cancer screening and prevention? Results from a randomized trial on the impacts of acquiring Medicaid coverage

BACKGROUND

The Oregon Medicaid lottery provided a unique opportunity to assess the causal impacts of health insurance on cancer screening rates within the framework of a randomized controlled trial. Prior studies regarding the impacts of health insurance have almost always been limited to observational evidence, which cannot be used to make causal inferences.

METHODS

The authors prospectively followed a representative panel of 16,204 individuals from the Oregon Medicaid lottery reservation list, collecting data before and after the Medicaid lottery drawings. The study panel was divided into 2 groups: a treatment group of individuals who were selected in the Medicaid lottery (6254 individuals) and a control group who were not (9950 individuals). The authors also created an elevated risk subpanel based on family cancer histories. One year after the lottery drawings, differences in cancer screening rates, preventive behaviors, and health status were compared between the study groups.

RESULTS

Medicaid coverage resulted in significantly higher rates of several common cancer screenings, especially among women, as well as better primary care connections and self-reported health outcomes. There was little evidence found that acquiring Medicaid increased the adoption of preventive health behaviors that might reduce cancer risk.

CONCLUSIONS

Medicaid coverage did not appear to directly impact lifestyle choices that might reduce cancer risk, but it did provide access to important care and screenings that could help to detect cancers earlier. These findings could have long-term population health implications for states considering or pursuing Medicaid expansion. Cancer 2016;122:791-797. © 2015 American Cancer Society.

Securing and Documenting Cancer Family History in the Age of the Electronic Medical Record

Family health history is one of the least expensive, most useful, and most underused methods available to conduct assessments of the genetic aspect of a condition or to target the need for a genetic evaluation. This article introduces to the surgical oncologist the reason and process of collecting family history information. As medical records shift from paper to electronic formats, pedigree drawings are not readily available within the electronic health records. International efforts are underway to develop searchable, updatable, and interoperable formats that can collect family history information to inform clinical decision support for genetic risk assessment.

Documented lifestyle education among young adults with incident hypertension

BACKGROUND

Only 38% of young adults with hypertension have controlled blood pressure. Lifestyle education is a critical initial step for hypertension control. Previous studies have not assessed the type and frequency of lifestyle education in young adults with incident hypertension.

OBJECTIVE

The purpose of this study was to determine patient, provider, and visit predictors of documented lifestyle education among young adults with incident hypertension.

DESIGN

We conducted a retrospective analysis of manually abstracted electronic health record data.

PARTICIPANTS

A random selection of adults 18-39 years old (n = 500), managed by a large academic practice from 2008 to 2011 and who met JNC 7 clinical criteria for incident hypertension, participated in the study.

MAIN MEASURES

The primary outcome was the presence of any documented lifestyle education during one year after meeting criteria for incident hypertension. Abstracted topics included documented patient education for exercise, tobacco cessation, alcohol use, stress management/stress reduction, Dietary Approaches to Stop Hypertension (DASH) diet, and weight loss. Clinic visits were categorized based upon a modified established taxonomy to characterize patients' patterns of outpatient service. We excluded patients with previous hypertension diagnoses, previous antihypertensive medications, or pregnancy. Logistic regression was used to identify predictors of documented education.

KEY RESULTS

Overall, 55% (n = 275) of patients had documented lifestyle education within one year of incident hypertension. Exercise was the most frequent topic (64%). Young adult males had significantly decreased odds of receiving documented education. Patients with a previous diagnosis of hyperlipidemia or a family history of hypertension or coronary artery disease had increased odds of documented education. Among visit types, chronic disease visits predicted documented lifestyle education, but not acute or other/preventive visits.

CONCLUSIONS

Among young adults with incident hypertension, only 55% had documented lifestyle education within one year. Knowledge of patient, provider, and visit predictors of education can help better target the development of interventions to improve young adult health education and hypertension control.

Family health information sharing among older adults: reaching more family members

Although family health history (FHH) information has tremendous potential in the prevention of common complex diseases such as heart disease and cancer, lack of knowledge about one's own FHH among the public hinders its utility. Older individuals often desire to contribute to the well-being of younger generations and also play critical roles in disseminating this information. This study evaluated psychosocial factors associated with the extent of FHH communication within families. Older adults (N = 110) were interviewed at three senior centers in an urban community. Multivariate Poisson regression analysis showed that respondents who received FHH from a parent reported 41 % more family members with whom they shared FHH (b = 0.34, p < 0.001) controlling for the family network size. Furthermore, one unit increase in the number of family members with whom respondents exchange reciprocal emotional support (b = 0.04, p < 0.01), perceived familiarity with own FHH (b = 0.14, p = 0.01), and self-efficacy to share FHH (b = 0.18, p = 0.02) were associated with 4, 15, and 20 % increases in the number of family members with whom respondents shared FHH, respectively. Future efforts may inform older adults about their important role in modeling FHH communication behavior to encourage information sharing in future generations while providing information about how to collect and disseminate FHH to increase their familiarity and ability to share FHH within the family.

Family physicians' management of genetic aspects of a cardiac disease: a scenario-based study from slovenia

The aim of this study was to find out how Slovenian family physicians (FPs) would manage a hypothetical clinical case, to explore their views about possible ethical dilemmas associated with this clinical case and to determine possible associations with demographic and other characteristics of FPs. This was an observational cross-sectional postal study in the Slovenian FPs' surgeries. The study population consisted of the whole population of Slovenian FPs (n = 950). The main outcome measures were the percentages of the answers of FPs on different questions about the clinical case on the management of patient and his relative with hereditary cardiomyopathy. There were 271 FPs who answered the questionnaire (response rate was 27.1%). A sample included 66 (24.4%) men and the mean age of all respondents was 45.5 ± 10.6 years. When dealing with the clinical case, most FPs expressed willingness to take the patient's family history. Only 34.2% FPs did not believe that ordering genetic tests was part of their job. Additionally, only 50.0% of them felt competent to interpret the genetic risk, 25.0% of them would give information about genetic testing and only 6.0% would interpret the results of the genetic testing. Family physicians in Slovenia were willing to include genetic tasks into routine management of their patients, but they do not feel competent enough to interpret the genetic risks and the results of genetic testing. However, an important part of FPs would not refer patients at risk to genetic counseling. The inclusion of genetic topics to family medicine specialization curriculum is needed.

A probabilistic model to predict clinical phenotypic traits from genome sequencing

Genetic screening is becoming possible on an unprecedented scale. However, its utility remains controversial. Although most variant genotypes cannot be easily interpreted, many individuals nevertheless attempt to interpret their genetic information. Initiatives such as the Personal Genome Project (PGP) and Illumina's Understand Your Genome are sequencing thousands of adults, collecting phenotypic information and developing computational pipelines to identify the most important variant genotypes harbored by each individual. These pipelines consider database and allele frequency annotations and bioinformatics classifications. We propose that the next step will be to integrate these different sources of information to estimate the probability that a given individual has specific phenotypes of clinical interest. To this end, we have designed a Bayesian probabilistic model to predict the probability of dichotomous phenotypes. When applied to a cohort from PGP, predictions of Gilbert syndrome, Graves' disease, non-Hodgkin lymphoma, and various blood groups were accurate, as individuals manifesting the phenotype in question exhibited the highest, or among the highest, predicted probabilities. Thirty-eight PGP phenotypes (26%) were predicted with area-under-the-ROC curve (AUC)>0.7, and 23 (15.8%) of these were statistically significant, based on permutation tests. Moreover, in a Critical Assessment of Genome Interpretation (CAGI) blinded prediction experiment, the models were used to match 77 PGP genomes to phenotypic profiles, generating the most accurate prediction of 16 submissions, according to an independent assessor. Although the models are currently insufficiently accurate for diagnostic utility, we expect their performance to improve with growth of publicly available genomics data and model refinement by domain experts.

A perspective on the New American College of Cardiology/American Heart Association guidelines for cardiovascular risk assessment

The recently published American College of Cardiology (ACC)/American Heart Association (AHA) guidelines for cardiovascular risk assessment provide equations to estimate the 10-year and lifetime atherosclerotic cardiovascular disease (ASCVD) risk in African Americans and non-Hispanic whites, include stroke as an adverse cardiovascular outcome, and emphasize shared decision making. The guidelines provide a valuable framework that can be adapted on the basis of clinical judgment and individual/institutional expertise. In this review, we provide a perspective on the new guidelines, highlighting what is new, what is controversial, and potential adaptations. We recommend obtaining family history of ASCVD at the time of estimating ASCVD risk and consideration of imaging to assess subclinical disease burden in patients at intermediate risk. In addition to the adjuncts for ASCVD risk estimation recommended in the guidelines, measures that may be useful in refining risk estimates include carotid ultrasonography, aortic pulse wave velocity, and serum lipoprotein(a) levels. Finally, we stress the need for research efforts to improve assessment of ASCVD risk given the suboptimal performance of available risk algorithms and suggest potential future directions in this regard.

Psychological impact of family history risk assessment in primary care: a mixed methods study

BACKGROUND

Routine family history risk assessment for chronic diseases could enable primary care practitioners to efficiently identify at-risk patients and promote preventive management strategies.

OBJECTIVES

To investigate patients' understanding and responses to family history risk assessment in primary care.

METHOD

A mixed methods study set in 10 Eastern England general practices. Participants in a family history questionnaire validation study were triaged into population or increased risk for four chronic diseases (type 2 diabetes, cardiovascular disease, breast cancer, colorectal cancer). Questionnaires completed immediately prior to the family history consultation (baseline) and 4 weeks later (follow-up) assessed the psychological impact, including State-Trait Anxiety Inventory scores. Semi-structured interviews explored the meaning participants gave to their personal familial disease risk.

RESULTS

Four hundred and fifty-three participants completed both baseline and follow-up questionnaires and 30 were interviewed. At follow-up, there was no increase in anxiety among either group, or differences between the groups [difference in mean change 0.02, 95% confidence interval -2.04, 2.08, P = 0.98]. There were no significant changes over time in self-rated health in either group. At follow-up, participants at increased risk (n = 153) were more likely to have recent changes to behaviour and they had stronger intentions to make changes to diet (P = 0.001), physical activity (P = 0.006) and to seek further information in the future than those at population risk (n = 300; P < 0.001). Using qualitative analysis, five themes were developed representing ways in which participants gave meaning to familial disease risk ('Being reassured', 'Controlling risk', 'Dealing with it later', 'Beyond my control', 'Disbelieving the risk'). The meanings they attributed to increased risk appeared to shape their intention to undertake behaviour change.

CONCLUSION

Routine assessment for familial risk of chronic diseases may be undertaken in primary care without causing anxiety or reducing self-rated health. Patient responses to family history risk assessment may inform promotion of preventive management strategies.

Cardiovascular genomics: implications for acute and critical care nurses

As genomic health care becomes commonplace, nurses will be asked to provide genomic care in all health care settings including acute care and critical care. Three common cardiac conditions are reviewed, Marfan syndrome, bicuspid aortic valve, and hypertrophic cardiomyopathy, to provide acute care and critical care nurses with an overview of these pathologies through the lens of genomics and relevant case studies. This information will help critical care nursing leaders become familiar with genetics related to common cardiac conditions and prepare acute care and critical care nurses for a new phase in patient diagnostics, with greater emphasis on early diagnosis and recognition of conditions before sudden cardiac death.

Representation of information about family relatives as structured data in electronic health records

BACKGROUND

The ability to manage and leverage family history information in the electronic health record (EHR) is crucial to delivering high-quality clinical care.

OBJECTIVES

We aimed to evaluate existing standards in representing relative information, examine this information documented in EHRs, and develop a natural language processing (NLP) application to extract relative information from free-text clinical documents.

METHODS

We reviewed a random sample of 100 admission notes and 100 discharge summaries of 198 patients, and also reviewed the structured entries for these patients in an EHR system's family history module. We investigated the two standards used by Stage 2 of Meaningful Use (SNOMED CT and HL7 Family History Standard) and identified coverage gaps of each standard in coding relative information. Finally, we evaluated the performance of the MTERMS NLP system in identifying relative information from free-text documents.

RESULTS

The structure and content of SNOMED CT and HL7 for representing relative information are different in several ways. Both terminologies have high coverage to represent local relative concepts built in an ambulatory EHR system, but gaps in key concept coverage were detected; coverage rates for relative information in free-text clinical documents were 95.2% and 98.6%, respectively. Compared to structured entries, richer family history information was only available in free-text documents. Using a comprehensive lexicon that included concepts and terms of relative information from different sources, we expanded the MTERMS NLP system to extract and encode relative information in clinical documents and achieved a corresponding precision of 100% and recall of 97.4%.

CONCLUSIONS

Comprehensive assessment and user guidance are critical to adopting standards into EHR systems in a meaningful way. A significant portion of patients' family history information is only documented in free-text clinical documents and NLP can be used to extract this information.

The impact of personalized risk feedback on Mexican Americans' perceived risk for heart disease and diabetes

Little is known about the effect of personalized risk information on risk perceptions over time, particularly among ethnically diverse subpopulations. The present study examines Mexican American's (MAs) risk perceptions for heart disease and diabetes at baseline and following receipt of risk feedback based on family health history. Participants comprising 162 households received a pedigree or personalized risk feedback, with or without behavioral risk reduction recommendations. Multiple logistic regression analyses were used to assess lifetime perceived risk (LPR) at baseline, 3 months and 10 months following the receipt of risk feedback. Having an elevated familial risk of heart disease or diabetes increased the odds of an elevated LPR for both diseases at baseline. At 3 months, compared with receipt of a pedigree only, MAs receiving elevated risk feedback for both diseases were more likely to have an elevated LPR for both diseases. At 10 months, participants receiving weak risk feedback for both diseases indicated an adjustment to a lower LPR for heart disease only. Results suggest that communicating risk for multiple diseases may be more effective than a single disease, with responses to increased risk feedback more immediate than to weak risk feedback.

Quality of family history collection with use of a patient facing family history assessment tool

Background

Studies have shown that the quality of family health history (FHH) collection in primary care is inadequate to assess disease risk. To use FHH for risk assessment, collected data must have adequate detail. To address this issue, we developed a patient facing FHH assessment tool, MeTree. In this paper we report the content and quality of the FHH collected using MeTree.

Methods

Design: A hybrid implementation-effectiveness study. Patients were recruited from 2009 to 2012. Setting: Two community primary care clinics in Greensboro, NC. Participants: All non-adopted adult English speaking patients with upcoming appointments were invited to participate. Intervention: Education about and collection of FHH with entry into MeTree. Measures: We report the proportion of pedigrees that were high-quality. High-quality pedigrees are defined as having all the following criteria: (1) three generations of relatives, (2) relatives’ lineage, (3) relatives’ gender, (4) an up-to-date FHH, (5) pertinent negatives noted, (6) age of disease onset in affected relatives, and for deceased relatives, (7) the age and (8) cause of death (Prim Care31:479–495, 2004.).

Results

Enrollment: 1,184. Participant demographics: age range 18-92 (mean 58.8, SD 11.79), 56% male, and 75% white. The median pedigree size was 21 (range 8-71) and the FHH entered into MeTree resulted in a database of 27,406 individuals. FHHs collected by MeTree were found to be high quality in 99.8% (N = 1,182/1,184) as compared to <4% at baseline. An average of 1.9 relatives per pedigree (range 0-50, SD 4.14) had no data reported. For pedigrees where at least one relative has no data (N = 497/1,184), 4.97 relatives per pedigree (range 1-50, SD 5.44) had no data. Talking with family members before using MeTree significantly decreased the proportion of relatives with no data reported (4.98% if you talked to your relative vs. 10.85% if you did not, p-value < 0.001.).

Conclusion

Using MeTree improves the quantity and quality of the FHH data that is collected and talking with relatives prior to the collection of FHH significantly improves the quantity and quality of the data provided. This allows more patients to be accurately risk stratified and offered appropriate preventive care guided by their risk level.

Trial number

NCT01372553

A pediatric approach to family history of cardiovascular disease: diagnosis, risk assessment, and management

The medical family history is a comprehensive and dynamic record of illnesses and other pertinent health information among family members. Family history is used to facilitate diagnosis, to identify family members at risk for developing a particular disease, and increasingly to manage disease. This article reviews the application of family history to pediatric cardiovascular disease. As more is learned about the genetic basis of cardiovascular disease, the family history will play an increasingly central role in management. Improved understanding of the causes of pediatric cardiovascular disease promises the opportunity to develop new diagnostic and therapeutic strategies.

Population based family history analysis of Brahmins in a small town in India for the prevalence of type-2 diabetes mellitus

OBJECTIVES:

The objective of this study is to determine the inheritance pattern of type-2 diabetes and make stratification for the general population risk.

MATERIALS AND METHODS:

A questionnaire was developed for o btaining the family history. Analysis of the data was carried out by using student and Chi-square tests and for stratification; the guidelines of Scheuner et al. were followed.

RESULTS:

The pattern of inheritance is the male sex specific (χ² =13.44). The mean age of onset of diabetes in parents was 58.61 ± 2.94 and in offspring 46.75 ± 2.54. In all 47.22 ± 11.53% families were found in high risk and 31.94 ± 10.77% in the moderate risk category. In female diabetics, the onset was in the age range of 41-60 years.

CONCLUSION:

We found a high-risk of diabetes and familial clustering in successive generations of Brahmins with prominent male sex specificity. In females onset of diabetes was coinciding with the period around menopause.

Family history as a predictor for disease risk in healthy individuals: a cross-sectional study in Slovenia

BACKGROUND

Family history can be used as a genetic risk predictor for common non-communicable diseases. The aim of this study was to determine the prevalence of healthy individuals at risk of developing these diseases, based on their self-reported family history.

METHODS AND FINDINGS

This was a cross-sectional observational study. Data were collected in the three largest occupational practices in primary health care centres in Slovenia, a Central European country. The study population consisted of consecutive individuals who came to occupational practices for their regular preventive check-up from November 2010 to June 2012. We included 1,696 individuals. Data were collected by a self-developed questionnaire. The main outcome was the number of participants at a moderate or high risk for the development of cardiovascular diseases, diabetes, and cancer. The final sample consisted of 1,340 respondents. Moderate or high risk for the development of cardiovascular diseases was present in 280 (20.9%) participants, for the development of diabetes in 154 (11.5%) participants and for cancer in 163 (12.1%) participants.

CONCLUSIONS

In this study, we found a significant proportion of healthy individuals with an increased genetic risk for common non-communicable diseases; consequently further genetic and clinical evaluation and preventive measures should be offered.

Primary care patient willingness for genetic testing for salt-sensitive hypertension: a cross sectional study

Background

The current research into single nucleotide polymorphisms has extended the role of genetic testing to the identification of increased risk for common medical conditions. Advances in genetic research may soon necessitate preparation for the role of genetic testing in primary care medicine. This study attempts to determine what proportion of patients would be willing to undergo genetic testing for salt-sensitive hypertension in a primary care setting, and what factors are related to this willingness.

Methods

A cross-sectional study using a self-report questionnaire was conducted among outpatients in primary care clinics and hospitals in Japan. The main characteristics measured were education level, family medical history, personal medical history, concern about hypertension, salt preference, reducing salt intake, and willingness to undergo genetic testing for salt-sensitive hypertension.

Results

Of 1,932 potential participants, 1,457 (75%) responded to the survey. Of the respondents, 726 (50%) indicated a willingness to undergo genetic testing. Factors related to this willingness were being over 50 years old (adjusted odds ratio [ad-OR] = 1.42, 95% Confidence interval = 1.09 – 1.85), having a high level of education (ad-OR: 1.83, 1.38 – 2.42), having a family history of hypertension (ad-OR: 1.36, 1.09 – 1.71), and worrying about hypertension (ad-OR: 2.06, 1.59 – 2.68).

Conclusions

Half of the primary care outpatients surveyed in this study wanted to know their genetic risk for salt-sensitive hypertension. Those who were worried about hypertension or had a family history of hypertension were more likely to be interested in getting tested. These findings suggest that primary care physicians should provide patients with advice on genetic testing, as well as address their anxieties and concerns related to developing hypertension.

The use of family history in primary health care: a qualitative study

The aim of this study is to describe how Belgian family physicians register and use the family history data of their patients in daily practice. Qualitative in-depth semistructured one-to-one interviews were conducted including 16 family physicians in Belgium. These interviews were recorded, transcribed, and analysed. Recurring themes were identified and compared with findings from the existing literature. All interviewed family physicians considered the family history as an important part of the medical records. Half of the surveyed physicians confirmed knowing the family history of at least 50% of their patients. The data on family history were mainly collected during the first consultations with the patient. The majority of physicians did not use a standardised questionnaire or form to collect and to record the family history. To estimate the impact of a family history, physicians seldom use official guidance or resources. Physicians perceived a lack of time and unreliable information provided by their patients as obstacles to collect and interpret the family history. Solutions that foster the use of family history data were identified at the level of the physician and also included the development of specific instruments integrated within the electronic medical record.

Improving risk assessment in family medicine through the family history

The family history is used as a screening tool to identify persons who may be at risk for a heritable disorder. Primary care providers sometimes do not thoroughly gather and document the family history. This pilot study was undertaken to determine whether having a genetic counselor on site at our family medicine clinic 2 days a week for 3 months would improve the quality of the family history field in patient records. We compared 7 elements in the family history field for patients seen before and after the genetic counselor was on site. Documentation of 1 of the 7 elements (major disease) improved significantly after the intervention period (P = .02). Changing provider behavior with regard to gathering and documenting family history of major disease may be facilitated by tools to help collect the family history and by using the increasing number of available genetic tests.