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European Journal of Human Genetics logoLink to European Journal of Human Genetics
. 2020 Sep 18;28(12):1631–1644. doi: 10.1038/s41431-020-00725-5

Barriers and facilitators for cascade testing in genetic conditions: a systematic review

Swetha Srinivasan 1, Nae Yeon Won 2, W David Dotson 3, Sarah T Wright 4, Megan C Roberts 1,
PMCID: PMC7784694  PMID: 32948847

Abstract

Cascade testing is the process of offering genetic counseling and testing to at-risk relatives of an individual who has been diagnosed with a genetic condition. It is critical for increasing the identification rates of individuals with these conditions and the uptake of appropriate preventive health services. The process of cascade testing is highly varied in clinical practice, and a comprehensive understanding of factors that hinder or enhance its implementation is necessary to improve this process. We conducted a systematic review to identify barriers and facilitators for cascade testing and searched PubMed, CINAHL via EBSCO, Web of Science, EMBASE, and the Cochrane Library for articles published from the databases’ inception to November 2018. Thirty articles met inclusion criteria. Barriers and facilitators identified from these studies at the individual-level were organized into the following categories: (1) demographics, (2) knowledge, (3) attitudes, beliefs, and emotional responses of the individual, and (4) perceptions of relatives, relatives’ responses, and attitudes toward relatives. At the interpersonal-level, barriers and facilitators were categorized as (1) family communication-, support- and dynamics-, and (2) provider-factors. Finally, barriers at the environmental-level relating to accessibility of genetic services were also identified. Our findings suggest that several individual, interpersonal and environmental factors may play a role in cascade testing. Future studies to further investigate these barriers and facilitators are needed to inform future interventions for improving the implementation of cascade testing for genetic conditions in clinical practice.

Subject terms: Preventive medicine, Genetic services

Introduction

Cascade testing is the process of offering genetic testing to at-risk relatives of an individual who has been diagnosed with a genetic condition (i.e., the index patient or proband). This process is critical for timely initiation of risk-management strategies such as surveillance and prophylactic strategies, and is widely used in autosomal dominant conditions such as familial cancers and familial hypercholesterolemia. Clinical guidelines for these diseases recommend that cascade testing be offered to relatives of probands to identify cases [13]. Despite this, studies suggest that several genetic conditions remain underdiagnosed in the population [46], indicating that the implementation of cascade testing in clinical practice needs to be optimized.

To date, few studies have systematically reviewed the uptake of cascade testing in relatives of probands and the effectiveness of such interventions across various diseases. In a scoping review focused on the delivery of cascade testing for hereditary conditions, Roberts et al. provide a broad overview of cascade testing interventions, policy considerations, barriers and facilitators to their use and research gaps [7]. Based on their findings, several research gaps remain in the literature on cascade testing, including limited use of rigorous methods to test the efficacy of cascade testing programs and interventions. Understanding factors that influence whether probands disclose genetic information and whether relatives pursue genetic testing will be critical to design effective interventions to improve cascade testing. To address this need, we conducted an in-depth systematic review of the research literature to identify barriers and facilitators that may affect the uptake of cascade testing.

Methods information sources and search strategy

The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines [8] were followed for this study (Supplemental Material, Appendix A). The following databases: PubMed, CINAHL via EBSCO, Web of Science, EMBASE, and the Cochrane Library were electronically searched for articles published from the database inception date to 18 November, 2018 using keywords and appropriate subject headings that captured the range of terms used synonymously with cascade testing (e.g., “cascade screening” and “familial genetic testing”). Complete search strategies are provided in Supplemental Material, Appendix B. Hand-searches were also performed by manually examining the references of relevant literature reviews to identify any additional studies that may have been missed due to incomplete or inaccurate indexing in the electronic search databases. All references were uploaded to Covidence Systematic Review software (https://www.covidence.org) [9], a systematic review management system for study selection.

Study selection

Two of four reviewers (MCR, NYW, SS, and WDD) independently reviewed each title and abstract for eligibility, and disagreements were resolved through discussion. The same procedure was repeated for full-text review. Articles that focused on the disclosure of genetic information to family members and the actual uptake of genetic testing by relatives were both included to comprehensively capture barriers and facilitators to cascade testing both from probands’ and the family members’ perspectives. Conference abstracts, meeting reports, literature reviews, guidelines, and simulation modeling studies were excluded. Articles relating to other types of genetic testing and disclosure (whole-population or universal genetic testing, parental disclosure of genetic testing to children, newborn/neonatal/pre-natal testing, or proband testing), those that lacked a methods section or relevant outcomes (no barriers/facilitators described, study focused on clinical outcomes for cascade testing only, or study did not explicitly study cascade testing) and those that only reported prevalence of genetic testing were also excluded.

Data extraction and quality assessment

Data extraction forms were developed in Covidence using the PICOS framework for the following information: population (sample size and percentage of women), intervention (characteristics of the cascade testing intervention including disease area(s), whether counseling and resources related to cascade testing were provided, primary mediator of cascade testing), comparator (if applicable), outcomes (barriers and facilitators) and setting (country, scale, clinical, academic) [10]. Barriers and facilitators experienced either by proband or relatives in cascade testing were qualitatively described in some studies and, in others, were examined for their ability to predict relatives’ uptake of genetic testing or proband’s disclosure to relatives through methods like regression. Our coding used an inductive approach and reflected the language used by study authors. The forms were developed iteratively and piloted on a subset of five articles after which two reviewers independently extracted data from each study. Disagreements were resolved through discussion. Barriers and facilitators were organized according to the Social Ecological Model, a theoretical framework that allows for the examination of the interactions between personal and environmental factors on health behaviors [11].

The methodological quality of each study was assessed using the Mixed Method Appraisal Tool (MMAT), version 2018 [12]. Both reviewers independently assessed whether the study met the corresponding MMAT criteria for each study type (RCT, descriptive, observation, qualitative, or mixed-methods). Meta-analysis was not conducted given the significant heterogeneity in study design, populations, setting, and outcomes.

Results

Of the 4256 unique studies that were identified through database searching and hand-searching, 229 articles were assessed for full-text eligibility. Thirty articles [1342] were included in our analysis after excluding articles as per the inclusion and exclusion criteria (see Fig. 1 for PRISMA flow diagram).

Fig. 1. PRISMA flow diagram.

Fig. 1

Number of records identified, included and excluded in the systematic review, and reasons for exclusion.

Study characteristics for the included articles are available in Table 1. Twelve studies [13, 17, 22, 2426, 28, 29, 35, 36, 38, 40] were conducted in the US while the remaining were conducted in Australia (n = 4) [14, 15, 19, 20], Europe (n = 9; 4 UK or parts of UK [23, 27, 31, 42], 4 Netherlands [21, 33, 34, 43], 1 France [39]), Asia (n = 4; 2 Israel [18, 41], 1 Vietnam [30], 1 Japan [16]), and South America (n = 1 from Brazil [37]). Most studies were conducted within a single-center (n = 12 [16, 17, 20, 2224, 30, 34, 35, 37, 40, 41]), followed by national- (n = 10) [13, 14, 18, 21, 26, 29, 31, 33, 38, 43], regional- (n = 4) [19, 39, 40, 42], multi-center (n = 3) [27, 28, 36] and state- (n = 1) [25] level studies. The majority of studies (n = 18) [13, 14, 1619, 25, 26, 28, 30, 33, 3541] used a descriptive study design using survey/interview/case series/observational data, with a few qualitative studies (n = 9) [15, 21, 23, 24, 27, 29, 31, 42, 43] and mixed-method studies (n = 2) [20, 34] and one randomized controlled trial [22]. Studies spanned disease areas including familial hypercholesterolemia (n = 10) [13, 15, 19, 25, 30, 33, 35, 37, 42, 43], Lynch syndrome (n = 6) [16, 17, 21, 24, 28, 38], hereditary breast and ovarian cancer (n = 6) [18, 22, 29, 36, 40, 41], cystic fibrosis (n = 3) [20, 31, 39], inherited cardiac conditions (n = 2) [23, 27], Fragile X syndrome (n = 2) [26, 34], and long QT syndrome (n = 1) [14]. Only one study explicitly reported that counseling was included as a component of cascade testing [42], while two studies noted that resources to assist with cascade testing (letter, written material and information sheet) were provided to patients [23, 42]. In most studies, the stakeholder who contacted relatives was not explicitly defined (n = 16) [13, 14, 16, 1821, 2629, 31, 35, 36, 38, 39], with patients (n = 5) [22, 23, 34, 41, 44], study team members (n = 4) [24, 30, 40, 45], providers (n = 2) [17, 37] and members of a screening program (n = 3) [15, 33, 43] contacting relatives in the remaining studies. Three studies were conducted solely among women [13, 22, 36], one study was conducted solely among men [29], and six studies did not report the proportion of females in the study sample [20, 27, 30, 31, 34, 43]. Sixteen studies did not contain information about race and ethnicity of the study sample [1416, 1921, 23, 27, 30, 33, 34, 37, 39, 4143, 45].

Table 1.

Study characteristics for included studies.

Study Setting Methods Population Intervention
Year of study publication Country Setting Year(s) of data collection Scale Design Data Source N (Study sample) % White % Female Disease Area Counseling related to cascade testing Cascade testing primarily mediated by Provision of resources related to cascade testing MMAT Score
Benson13 2016 USA Members of the WomenHeart and FH Foundation databases 2014 National Descriptive Survey data 761 86 100 Familial hypercholesterolemia NR NR NR 4
Burns14 2015 Australia Patients enrolled in the Australian Genetic Heart Disease Registry NR National Descriptive Survey data 75 NR 73 Long QT syndrome NR NR NR 4
Campbell25 2017 USA 2014 Minnesota State Fair 2014 State Descriptive Survey data 971 NR 59 Familial hypercholesterolemia NR Study team NR 3
Cheung20 2010 USA Tertiary referral cancer center and public county hospital in California 1996–2008 Multi-center Descriptive Survey data 1135 60 100 Hereditary breast and ovarian cancer NR NR NR 5
de Souza Silva21 2018 Brazil Academic medical center NR Single-center Descriptive Survey data 183 NR 54 Familial hypercholesterolemia NR Provider (trained specialized health professional) NR 3
Dilzell22 2014 USA (1) Academic medical center, (2) patients affiliated with Lynch Sydnrome International, an advocacy group 2012–2013 National Descriptive Survey data 50 91 79 Lynch syndrome NR NR NR 3
Dugueperoux23 2016 France District in western Brittany where CF incidence is high 1980–2004 Regional Descriptive Observational data 128 NR 58 Cystic Fibrosis NR NR NR 3
Finlay24 2008 USA Academic medical center 2004 Single-center Descriptive Survey data 132 93 73 Hereditary breast and ovarian cancer NR Study team NR 4
Hagoel25 2000 Israel National cancer control center NR Single-center Descriptive Observational data 438 NR 70 Hereditary breast and ovarian cancer NR Patient NR 4
Hallowell26 2011 Scotland Regional cascade testing service 2010 Regional Qualitative Interview data 38 NR 55 Familial hypercholesterolemia Yes Patient Yes (letters and written material) 3
Hardcastle15 2014 Australia Lipid disorders clinic in Royal Hospital NR Regional Qualitative Interview data 18 NR 44 Familial hypercholesterolemia NR Screening program NR 4
Ishii16 2011 Japan Cancer Institute 2005–2009 Single-center Descriptive Survey data 40 NR 63 Lynch syndrome NR NR NR 5
Lerman17 1999 USA Academic medical center 1996–1998 Single-center Descriptive Survey data 139 99 55 Lynch syndrome NR Provider NR 4
Lieberman18 2018 Israel Medical center NR National Descriptive Survey data 1771 NR 79 Hereditary breast and ovarian cancer NR NR NR 4
Maxwell19 2009 Australia Western Australia 2008 Regional Descriptive Interview and survey data 430 NR 59 Familial hypercholesterolemia NR NR NR 4
McClaren20 2013 Australia Children’s Hospital NR Single-center Mixed-methods Interview data 249 NR NR Cystic fibrosis NR NR NR 3
Mesters21 2005 Netherlands Individuals enrolled in the Netherlands Foundation for the Detection of Hereditary Tumors NR National Qualitative Interview data 30 NR 73 Lynch syndrome NR NR NR 5
Montgomery22 2013 USA Fox Chase Cancer Center 2000–2003 Single-center RCT RCT data 422 92 100 Hereditary breast and ovarian cancer NR Patient NR 4
Ormondroyd23 2014 UK Academic medical center 2010–2011 Single-center Qualitative Interview data 22 NR 60 Inherited cardiac conditions NR Patient Yes (invitation letter and information sheet) 5
Pentz24 2005 USA Academic medical center NR Single-center Qualitative Interview data 80 85 65 Lynch syndrome NR Study team NR 5
Raspa26 2006 USA National survey research registry 2012 National Descriptive Survey data 679 families 92 90 Fragile X syndrome NR NR NR 3
Smart27 2010 UK Genetics Knowledge Park program 2005–2006 Multi-center Qualitative Interview data 27 NR NR Inherited cardiac conditions NR NR NR 5
Stoffel28 2008 USA Cancer genetics clinics in academic medical centers NR Multi-center Descriptive Survey data 174 91 70 Lynch syndrome NR NR NR 4
Suttman29 2018 USA Academic medical center NR National Qualitative Interview data 21 67 0 Hereditary breast and ovarian cancer NR NR NR 5
Truong30 2018 Vietnam Academic medical center NR Single-center Descriptive Case series data 112 NR NR Familial hypercholesterolemia NR Study team NR 3
Ulph31 2015 England Research university 2008 National Qualitative Interview data 67 68 NR Cystic Fibrosis NR NR NR 5
van El43 2018 Netherlands Research university NR National Qualitative Interview data 6 NR NR Familial hypercholesterolemia NR Screening program NR 5
van Maarle33 2001 Netherlands Academic medical center 1998 National Descriptive Survey data 677 NR 54 Familial hypercholesterolemia NR Screening program NR 5
Van Rijn34 1997 Netherlands University hospital 1997 Single-center Mixed-methods Interview data 504 NR NR Fragile X Syndrome NR Patient NR 3
Wurtmann35 2018 USA Academic medical center 2016 Single-center Descriptive Survey data 38 89 87 Familial hypercholesterolemia NR NR NR 3

Overall, both reviewers indicated that studies met three or more criteria, with few studies falling below this threshold. Barriers and facilitators at the individual, interpersonal and environmental levels are summarized in Tables 2 and 3, respectively. Notably, no studies in our analysis investigated any environmental facilitators. Only significant and descriptive results from our analysis are described below. In addition, nonsignificant factors are presented in Table 3.

Table 2.

Barriers to disclosure of genetic information and uptake of cascade testing at the individual level.

Barriers Disclosure of Genetic Information to Relatives Uptake of Genetic Testing by Relatives
Probands only Relatives only Probands/ Relatives Probands only Relatives only Probands/ Relatives
Individual barriers
Demographics
 Income Neg (Low)26
 Knowledge
 Knowledge/Perceived knowledge Desc25 Qual23,27,31
 Not knowing who was at risk in the family Desc14,24
 Reluctance to cause fear, stress, and negative emotions Desc28 Desc18
 Perceived susceptibility Desc(Low)23
Attitudes, beliefs and emotional responses of the individual
 Attitudes toward genetic testing Desc23,27
 Belief that costs outweigh benefits Desc18
 Lack of motivation Qual15
 Depression Symptoms Neg (High)22 Neg (Present)17
 Distress NS22
 General privacy concerns Desc28 Desc25 Desc47
 Deferment/rejection of responsibility Desc35 Desc25 Qual15
 Actionability of results Desc25
 Religion Desc25
 Discomfort with topic Desc25
 Embarrassment/Shame Desc25,20 Desc31
 Sadness Desc25
 Surprise Desc25
 Lack of trust Desc25
   Lazy Desc25
 Anxiety/Guilt Desc14,28 Desc25,20 Desc27
 Emotional or general difficulty in sharing information Desc14,24 Desc35 Desc25
 Logistical concerns Desc35 Desc25 Qual26 Desc16
 Fear of discrimination in the context of marriage or employment Desc35 Desc18
 Readiness for discussion Desc18
 Limited recall of diagnosis and competing pressures Desc25,20 Qual27
 No dissemination plan Desc20
 Paternalism Desc47
 Psychological burden Desc47
 Anticipation of regret Desc33
 Location of relatives Desc25 Qual27
 Time needed to communicate Desc25
 Prefer doctors to explain Desc25
Perceptions of relatives, relatives’ reported responses, and attitudes toward relatives
 Not wanting to upset relatives Desc14 Desc35
 No at-risk family members Desc25
 Relative lack of concern or interest Desc25,20 Desc18
 Relative not willing to listen /does not care Qual24 Desc35 Desc25 Qual27
 Relative hostility toward advice or rejection Desc35 Desc25 Desc18
 Relative did not believe participant Desc25
 Concern regarding family reaction Desc25
 Family lack of understanding Qual24, Desc28 Desc35 Desc25,20
 Family may not agree to testing Desc25
 Avoidance/Right not to know/Ignorance Qual15, Desc20,33,47
 Relatives’ stage of life Desc20 Desc16, Qual27
 Relative appears healthy Desc16
Interpersonal barriers
 Family communication, support and dynamics
 Impact of disease on family Desc34 Neg (Mostly or somewhat negative)26
 Disappointing experience with disclosure early in process Desc20 Desc31
 Emotional distance or estrangement or conflict or resentment Desc28 Qual21 Qual26, Desc18 Qual23,27
 General communication concerns Desc25 Neg (No communication)26, Desc34 Qual24,27
 Not in contact/close with family Desc24 Desc35 Desc25, Qual21 Desc16, Desc27
 Language barrier Desc25
Provider factors
 Provider awareness Qual29 Qual43
 Provider engagement Qual31
Environmental barriers
Accessibility of testing
 Finances/Cost Desc35 Desc25 Qual43
 Insurance Desc35 Desc25 Qual43
 Access to genetic testing Desc20 Qual31
 Extra clinical referrals Qual43

Neg – negative, Desc– barrier or facilitator described in descriptive studies, Qual- barrier or facilitator described in qualitative studies.

Table 3.

Facilitators for disclosure of genetic information and uptake of cascade testing at the individual level.

Facilitators Disclosure of genetic information to relatives Uptake of genetic testing by relatives
Probands only Relatives only Probands/Relatives Probands only Relatives only Probands/Relatives
Individual facilitators
Demographics
 Age Pos (High)20 NS13,21 NS20,17
 Gender NS28 Pos (Female)22 NS17, Pos (Female)23, Pos (Asian)20
 Race/Ethnicity Pos (Asian)20, NS (Latina)20, NS (African American)20 NS13 NS (Latina)20, NS (African American)20
 Income Pos (High)13 NS17
 Education NS21 Pos (College Degree)17
 Employment NS21
 Marital Status Pos (Married)13 Pos (Married)17
 Socioeconomic status NS20, Pos (High)20 Pos (High)20
Clinical factors
 Personal history of disease NS22,28 NS13,21 NS20,17, Pos25
 Family history of disease NS21
 Smoking NS13
 Prior history of risk factors Desc19
 Genetic test results Pos (unambiguous)22, NS (inconclusive)22
Knowledge
 Knowledge/Perceived knowledge Pos (High)20
 Perceived susceptibility Desc (High)21
Attitudes, beliefs and emotional responses of the individual
 Distress NS22
 Wanting to know Desc20 Desc33
 Intrinsic motivation Desc21
 Perceived control Pos (High)22
 Forced by circumstances Desc33
 Need for emotional support Qual24, Desc28 Desc35 Desc20 Desc18
 Satisfaction with decision to undertake genetic testing Pos (High)20 Pos (High)20
Perceptions of relatives, relatives’ reported responses, and attitudes toward relatives
 Relatives’ right to know Qual29 Desc34 Qual23, 24
 Moral obligation toward relatives/Duty to inform Desc35 Desc14,21 Desc18,26,34 Qual31
 Feeling that information will help in making medical decisions or lifestyle Desc35 Desc14 Qual27,31
 Concern about relatives Desc29 Desc20 Qual23
 Desire to prevent harm in the family/Duty to protect Desc35 Desc18 Qual15,27
 Need to understand the disease/help from relatives Desc28 Desc16
 To avoid feeling the same sorrow Desc16
Interpersonal facilitators
Family communication, support and dynamics
 Perceptions of relatives’ opinion on genetic testing Pos (Extremely or somewhat in favor)22, NS (Opposed/Neutral)22
 Degree of closeness/Relationship to the patient Pos (children)22, NS (siblings)22, Desc14 Pos (Siblings)23, Pos (Aunt/Uncles)23, NS (Grandparents)23, Pos (FDR of patient with disease)25, Pos (FDR of proband)25
 Monitoring relatives’ coping status NS22
 Provide relatives with information about risk Desc28 Desc14
 Encourage relatives to get testing Desc28 Desc14 Desc34
 Active and open communication Qual29
 Solidarity with family Desc33
 Support from family members Desc47
Provider factors
 Materials to pass to relatives (Genetic counseling note, Family letter, Personal note from proband, Information/report from lab, Online resources, Support group information) Desc35 Qual26 Desc22
 Referral to genetics clinic Desc22
 Physician recommendation Qual24, Desc28 Desc21 Desc16
 Assistance in identifying relatives at risk Desc35 Desc26
 Assistance in making contact with relatives (physician or hospital) and dissemination plan Desc35 Desc21 Qual15, 23,24
 Provider follow-up Desc47
 Speaking with a genetic counselor Desc35

Pos– positive, NS– not significant, Desc– barrier or facilitator described in descriptive studies, Qual- barrier or facilitator described in qualitative studies.

Individual barriers

Demographics

One study reported that having low income was negatively associated with uptake of genetic testing among relatives [26], while other studies reported positive associations with other demographic factors (presented under Facilitators).

Knowledge

Studies described low or perceived lack of knowledge among probands and/or relatives as a barrier for both disclosure [25] and uptake of testing [23, 27, 31]. Probands in two studies cited not knowing who was at risk for the disease as a barrier to disclosure [14, 40].

Attitudes, beliefs and emotional responses of the individual

A number of barriers for probands and/or relatives to disclosure were reported, including: actionability of results [25], religion [25], discomfort with topic [25], sadness [25], surprise [25], lack of trust in the genetic information presented [25], laziness [25], no dissemination plan [20], time needed to communicate [25], emotional or general difficulty in sharing information [14, 25, 35, 40], and a preference for doctors to explain [25]. Paternalism [43], psychological burden [43], anticipation of regret [33], location of relatives [27], low perceived susceptibility [23], attitudes toward genetic testing [23], and lack of motivation [15] were described by probands and/or relatives as barriers to uptake of genetic testing. High depression symptoms had a negative effect on disclosure by probands [22], while the presence of depression symptoms among probands had a negative association with uptake. A belief that costs outweighed benefits was described as a barrier to uptake by probands [17]. General privacy concerns [25, 28, 43], deferment or rejection of responsibility [15, 25, 35], anxiety or guilt [14, 20, 25, 27, 28], logistical concerns [16, 35, 44, 45], fear of discrimination in the context of marriage or employment [18, 35], and limited recall of diagnosis and competing pressures [20, 25, 27] were all described as barriers to disclosure and uptake by probands and/or relatives. Finally, lack of readiness for discussion among probands was described as barrier to uptake [18].

Perceptions of relatives, relatives’ reported responses, and attitudes toward relatives

Lack of concern or interest by relatives [18, 20, 25], the possibility of relatives not agreeing to testing [25], relatives not believing participants [25] and concern regarding family reaction [25] were described as barriers to disclosure among probands and/or relatives. Not wanting to upset relatives and family [14, 35], and lack of understanding [20, 25, 28, 35, 40] were described as barriers to disclosure among probands and/or relatives. Unwilling and uncaring attitudes of relatives [25, 27, 35, 40], relevance for relative’s stage of life [16, 20], and hostility toward advice or rejection [18, 25, 35] were described as barriers to disclosure and uptake among probands and/or relatives. Avoidance (or right not to know) [15, 20, 33, 43] and a perception that the relative appeared to be healthy [16] were barriers to uptake among probands and/or relatives.

Interpersonal barriers

Family communication, support, and dynamics

Emotional distance, estrangement, conflict, or resentment was described as a barrier among probands and/or relatives for both disclosure [21, 28] and uptake [18, 23, 42]. Similarly, not being in contact or not being emotionally close with family was described as a barrier among probands and/or relatives for both disclosure [21, 25, 35, 40] and uptake [16, 27]. General communication concerns was described as a barrier among probands and/or relatives for disclosure [25] and uptake [24, 27, 34]. In another study, no communication had a negative effect among probands on uptake of cascade testing [26]. A disappointing experience with disclosure early in the process was described as a barrier among probands and/or relatives for both disclosure [20] and uptake [31]. The impact on family relationship was described as a barrier among probands for disclosure [28]. The negative impact of disease on the family itself was described as a barrier among probands for uptake [34], and also reported to have a negative association among relatives for uptake [26]. Finally, language barriers among probands and/or relatives were barriers for disclosure [25].

Provider factors

Low provider awareness [29, 43] and lack of provider engagement [31] were described as barriers for probands and/or relatives for uptake of cascade testing.

Environmental barriers

Accessibility of genetic testing was the main environmental barrier studied in the literature. In two studies, probands and/or relatives described finances/cost [25, 43] or insurance coverage [25, 43] as barriers to both disclosure and genetic testing. In another study, relatives described finances, cost or insurance coverage as barriers to disclosure [35]. Access to genetic testing services was described as a barrier for probands and/or relatives for disclosure [20] and uptake [31]. Extra clinical referrals required to pursue genetic testing was also described as a barrier for probands and/or relatives for uptake [43].

Individual facilitators

Demographics

Older age was positively associated with disclosure among probands and/or relatives in one study [36]. Females had a positive association with disclosure (relatives) [22] and uptake of testing (proband and or relatives) [39]. Asian race of probands and/or relatives was positively associated with disclosure [36] and uptake [36]. Married individuals were more likely to engage both in disclosure (probands) [13] and uptake of testing (probands and/or relatives) [17]. High income of probands had a positive association with uptake of genetic testing by relatives in one study [13]. Last, high socioeconomic status of probands and/or relatives was associated with both disclosure and uptake of genetic testing in one study [36].

Clinical factors

Personal history of probands and/or relatives was positively associated with uptake [36] for probands and/or relatives in one study. Prior history of risk factors for relatives was described to be a facilitator for genetic testing [19]. Finally, receipt of unambiguous genetic test results by probands was positively associated with disclosure.

Attitudes, beliefs, and emotional responses of the individual

A need for emotional support from relatives was described as a facilitator in multiple studies for disclosure [20, 35, 40] and uptake [18] among both probands and/or relatives. A high satisfaction with the decision to undertake genetic testing was positively associated with both disclosure [36] and uptake [36] among both probands and/or relatives. Similarly, knowledge of screening and risk reduction recommendations was positively associated with disclosure among both probands and/or relatives [36]. Intrinsic motivation [21] and high levels of perceived susceptibility [21] were described as facilitators for disclosure among proband and/or relatives. In one study, high levels of perceived control [22] was positively associated with disclosure among probands. Lastly, probands and/or relatives indicated that feeling forced by circumstances [33] also enabled uptake of genetic testing.

Perceptions of relatives, relatives’ reported responses, and attitudes toward relatives

Prominently, a moral obligation toward relatives or a duty to inform was described in multiple studies as a facilitator for probands and/or relatives for both disclosure [14, 21, 35] and uptake [18, 31, 34, 42]. A desire to prevent harm in the family or duty to protect was described as a facilitator for probands and/or relatives for both disclosure [18, 35] and uptake [15, 27]. Relatives’ right to know (separate from duty to inform) [23, 24, 29, 34] and a belief that information would help in making medical or lifestyle decisions [14, 27, 31, 35] were also facilitators for probands and/or relatives for both disclosure and uptake. Concern for relatives was described as a facilitator for disclosure [29] and uptake [20, 23]. A perception of relatives having a positive opinion on genetic testing was positively associated with disclosure among probands. A need for help in understanding the disease was a facilitator for disclosure (probands) [28] and uptake (probands and/or relatives) [16]. A desire to prevent relatives from feeling the same sorrow [16] was also a facilitator for uptake among probands and/or relatives.

Interpersonal facilitators

Family communication, support, and dynamics

The degree of closeness was investigated in several studies. When the relatives were children, there was a positive effect on disclosure [22]. In one study, siblings, aunts and uncles were more likely to pursue genetic testing [39]. When the relatives were first-degree relatives of probands, there was a positive association with genetic testing [41]. Solidarity [33] and support [43] from family members were described as facilitators for uptake of genetic testing by probands and/or relatives. Encouraging relatives to get testing was described as a facilitator for disclosure (probands and/or relatives) [28] and uptake [34] (probands) [34]. Providing relatives with information about risk was described as a facilitator for disclosure among probands and/or relatives [14, 28]. Active and open communication was described as a facilitator for disclosure among probands and/or relatives [29].

Provider factors

Materials to pass to relatives (e.g., genetic counseling note, family letter) were described as facilitators for both disclosure (relatives) [35] and uptake (probands and/or relatives) [38, 42]. Assistance in identifying relatives at risk was described among probands as a facilitator for uptake [42], and among relatives for disclosure [35]. Assistance in making contact with relatives and a dissemination plan were described as facilitators for disclosure [21, 35] and uptake [15, 23, 24] among probands and/or relatives. A physician’s recommendation was described as a facilitator for both disclosure [21, 28, 40] and uptake [16] by probands and/or relatives. A referral to a genetics clinic [38] and provider follow-up [43] were described as facilitators for uptake among probands and/or relatives. Finally, speaking with a genetic counselor was described as a facilitator for disclosure by relatives [35].

Discussion

Several individual and interpersonal factors, and a few environmental factors, were described as barriers and facilitators to cascade testing for genetic conditions in studies included in our review. In particular, attitudes, beliefs and emotional responses both relating to the individual and their relatives were identified, with a large number of these factors reported in one study that used a survey design. Our findings suggest that there is a need to verify the role of these factors in the uptake of cascade testing using rigorous methods.

Factors relating to provider awareness and engagement were described as facilitators in included studies; conversely, lack of provider awareness and engagement were described as barriers in three studies. Previous studies evaluating cascade testing programs or interventions have shown that direct methods, where trained providers directly contact at-risk relatives of probands, are effective [46, 47]. Two studies [42, 43] included in this review examined the acceptability of direct vs. indirect approaches (where cascade testing is primarily patient-mediated) through qualitative methods, and findings from these studies indicate that even though direct methods may be more effective, patients expressed a preference for patient-mediated approaches as this emphasized autonomy and privacy, and was less threatening to relatives. Further, the regulatory landscape for provider-directed communication is not described in our included studies, and cannot be directly inferred (except in certain settings, such as the United States). Thus, the extracted facilitators from these two studies and others suggest several approaches for improving cascade testing in settings where a patient-mediated method is the norm, necessary (due to regulations) or preferred. In these settings, assistance in identifying at-risk relatives, creating a dissemination plan, receiving materials to pass on to relatives and follow-up were potential facilitators for cascade testing. These approaches could alleviate reported barriers regarding low or perceived lack of knowledge, as well as barriers such as not knowing who was at risk in the family.

Provider recommendation to share results with family was also described as a facilitator in several studies. This finding matches that of another study that examined non-directive approaches to counseling in families with BRCA1/2 gene variants, and suggested that more directive approaches are warranted in hereditary cancers, even if direct provider contact with relatives is not possible [48]. Overall, our results indicate that the role of the provider is critical in the process of cascade testing, and that the nature of provider engagement with patients and their relatives need to be optimized based on the environment and patient-preferences.

Family support, communication and dynamics play a key role in cascade testing, and several factors played a role either as barriers or facilitators. Indeed, it is well-known that genetic testing affects family relationships, with effects ranging from health benefits for relatives to strained relationships with family members. Interventions that strengthen family communication and increase family support, in addition to provider engagement, could optimize cascade testing. The process of genetic counseling typically incorporates psychosocial support for patients and their relatives, and interventions focused on enhancing family support and communication could be integrated in this process [49].

Our results also indicate that few studies have assessed factors outside the individual and interpersonal levels. In particular, contextual characteristics of the study setting and environmental barriers such as access to insurance, costs, etc. may be less relevant in countries with single payer-systems, but may play a more important role in countries such as the United States. Future work should examine the relative changeability and importance of multilevel barriers and facilitators for cascade testing. In addition it will be important not only to identify individual and interpersonal level determinants of cascade testing but also those on the environmental level (encompassing the organizational or institutional, community and public policy levels within the Social Ecological Model) to enable a comprehensive understanding of barriers and facilitators specific to various settings and contextual factors, as well as to build effective interventions.

Finally, studies across autosomal dominant and recessive disorders were included to capture barriers and facilitators to the process of cascade testing, whenever family communication and testing were explicitly studied. However, the motivation for cascade testing for variants that confer risk of developing disease (e.g., BRCA1/2 variants) versus those that confer risk for children inheriting a disease (e.g., cystic fibrosis) may drive the differences in the nature of individual and interpersonal barriers and facilitators described in our results.

Limitations

First, we performed a narrative synthesis of the literature, as a meta-analysis was not feasible given that studies in this area did not assess effect sizes of barriers and facilitators on cascade testing. Second, inconsistent terminology was used across studies for the factors investigated, so we were able to merge the extracted barriers and facilitators in only a few instances. Third, there is a potential for bias as we integrated findings from both quantitative and qualitative studies, a majority of studies used a descriptive study design, a majority of the barriers to disclosure were extracted from one study [25], and most of the non-demographic factors were described as barriers or facilitators, instead of being reported as effect-sizes. Fourth, as with any systematic review, it is possible that we may have missed relevant literature. Finally, from an ethical perspective, receiving all information necessary to make an informed decision about testing and being offered testing may be the most appropriate measures for evaluating interventions for cascade testing. However, we used family communication and receiving genetic testing as approximate outcomes, because many studies did not sufficiently discriminate between these distinct processes in outcome measurement. Thus, some barriers from our results (e.g., fear of negative impact on family relationships affecting uptake) may arise from receiving information about testing, being offered testing, but ultimately choosing not to engage in testing.

Conclusions

Findings from this systematic review can inform additional formative work. Future research should examine the role of identified barriers and facilitators for cascade testing using rigorous, theory-informed methods. Taken together this work can inform future development of interventions to improve cascade testing outcomes.

Supplementary information

Supplemental Material (23.1KB, docx)

Acknowledgments

Funding

This work was supported by the National Center for Advancing Translational Sciences, National Institutes of Health through Grant KL2TR002490 to MCR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The content is solely the responsibility of the authors and does not necessarily represent the official position of the National Institutes of Health or the Centers for Disease Control and Prevention.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

The online version of this article (10.1038/s41431-020-00725-5) contains supplementary material, which is available to authorized users.

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