BACKGROUND AND OBJECTIVES

Critics argue that it is unethical to expose children to research risks for the benefit of others, whereas many regulations permit “net-risk” pediatric research but only when the risks are minimal. In the present survey, we assessed whether the US public agrees with these views and whether the US public’s views regarding the acceptability of net-risk pediatric research are influenced by its social value.

METHODS

A 15-minute survey of a nationally representative sample of US adults. Participants were randomly assigned to 1 of 4 hypothetical scenarios involving procedures that pose increasing levels of risk. To assess whether respondents’ views on the acceptability of the risks is influenced by the social value of the research, in each of the 4 scenarios we described the respective procedure being used in 3 studies with increasing levels of social value.

RESULTS

A total 1658 of the 2508 individuals who were sent the survey link participated (response rate = 66.1%). Approximately 91% approved of a research blood draw in minors, and ∼69% approved of a research bone marrow biopsy. The proportion who indicated that the respective procedure was acceptable increased as the study’s social value increased. This effect was significantly stronger for studies which pose greater risks compared with studies with lower risks (P < .001).

CONCLUSIONS

The vast majority of the US public supports net-risk pediatric research that poses minimal risk, and a majority supports net-risk pediatric research that poses somewhat greater risks, provided it has high social value. These findings offer important information for assessing when it is acceptable to conduct net-risk pediatric research.

What’s Known on This Subject:

Many commentators argue that it is unethical to expose minors to any research risks for the benefit of others. Others, including most regulations, permit net-risk pediatric research but only when the risks are minimal.

What This Study Adds:

Respondents endorsed net-risk pediatric research involving a blood draw and a bone marrow biopsy. These findings provide support for net-risk pediatric research, including research that poses greater than minimal risks, and suggest standards for when such research is acceptable.

To improve medical care for children, investigators need to perform procedures and studies that pose some risks but do not offer participants the potential for medical benefit. Blood draws in healthy children are needed to determine normal values that can be used to identify pathology and disease. Similarly, phase 3 trials, which offer the potential for medical benefit, frequently include research procedures, such as MRI scans, that do not.

Despite its scientific and social importance, “net-risk” pediatric research remains ethically controversial. Some argue that it is unethical to expose children to any research risks for the benefit of others.1  The highest court in Maryland, for example, argued that it is unethical to place children in situations of “potential harm, during non-therapeutic procedures, even if parents, or other surrogates, consent.”2  Other commentators and regulations permit net-risk pediatric research but only when the risks are minimal.3  Still others regard this approach as too restrictive. The National Commission, whose recommendations provide the basis for US regulations, argued that permitting net-risk pediatric research only when the risks are minimal would preclude research with the “promise of substantial long-term benefit to children in general.”4(p126) US regulations, as well as those of several other countries,5  thus permit pediatric research that poses a minor increase over minimal risk. Finally, US regulations permit pediatric research that is not approvable in the minimal-risk or minor-increase-over-minimal-risk categories but has the potential to address a serious problem affecting the health of children (45 CFR 46.407).

Resolving this debate, and determining which risks are acceptable in pediatric research, is critical to protecting children without blocking appropriate research. To this end, scholars have proposed theoretical standards for which research risks are appropriate in children, including the socially acceptable risk standard6  and the scrupulous parent standard.7,8  In contrast, there are almost no data on the views of the general public. Thus, in the current study, we surveyed members of the US public regarding 2 questions: (1) Is it acceptable to expose children to some research risks for the benefit of other children? (2) Can research that has greater social value justify exposing children to greater risks?

The survey instrument was drafted on the basis of a comprehensive review of the literature. We then solicited input from content experts and revised the instrument. The draft survey underwent 2 rounds of review by the National Institutes of Health Department of Bioethics Empirical Research Laboratory. The revised survey was piloted in 4 rounds of testing by using Amazon Mechanical Turk, with a total of 555 respondents. Revisions were made after each round.

The final survey addressed 4 domains: (1) respondent characteristics, (2) risks and benefits of phase I pediatric oncology research, (3) risks and societal benefits of net-risk pediatric research, and (4) attitudes toward research in general (adapted from Rubright et al, 2011).9  This article reports on the results from the first, third, and fourth domains. The results from the second domain are reported elsewhere.10 

To assess which risks are considered acceptable, the survey described 4 scenarios involving procedures that pose increasing levels of risk: blood draw, bone marrow biopsy, kidney biopsy, and a single dose of an experimental drug (for the survey design, see Supplemental Fig 2). To minimize the duration of the survey, respondents were randomly assigned to 1 of the 4 scenarios. To assess whether the social value of the research influenced respondents’ views regarding the acceptability of the risks, each of the 4 scenarios described the respective procedure being used in 3 studies with increasing levels of potential social value: (1) development of treatments with reduced side effects, (2) development of treatments that extend life by several months to several years, and (3) development of curative treatments.

In each of the 4 scenarios, participants were asked to imagine they have a child aged 10 years with advanced cancer who has a high chance of dying in the next few months. The child’s doctors are giving her “the best treatment available.” In addition, she is eligible for a study that will not benefit her but is designed to collect data that might help to improve care for “children with the type of cancer your child has” (see Supplemental Information for complete wording). Each scenario included a test question to assess whether respondents understood that children would not benefit medically from participating in the described studies.

Participants were then asked whether they thought it was appropriate to enroll children in the 3 studies and whether they would enroll their own child. We also asked participants whether they thought that, in general, it can be acceptable to expose children to research risks for the benefit of other children. Those who answered yes were asked explicitly whether studies with higher social value can justify exposing children to greater research risks.

The risks of bone marrow and kidney biopsy were based on the rates of adverse events described in the literature.1115  Bain12  reported an adverse event rate of 0.08% for bone marrow biopsy. On the basis of these data, we described the risks as “1 in 1,000 children who undergo a bone marrow biopsy experience bleeding, and some of these children require a blood transfusion.” For kidney biopsy, Corapi13  reported a 3.5% rate of hematuria, a 0.9% rate of transfusion, and a 0.6% rate of angiographic intervention. Varnell15  reported an 11% to 18% rate of hematoma, 0.9% rate of transfusion, and a 0.7% rate of postbiopsy interventions to address complications. We thus described the risks as “1 in 10 patients who undergo kidney biopsies experience minor bleeding, ∼1 in 100 will require a blood transfusion, and 1 in 100 will require surgery to correct problems caused by it.” The risks of an experimental drug were described as a 1 in 100 chance of death and a high chance of significant nausea, pain, or hospitalization.1626  This description permitted us to compare respondents’ views of these risks in net-risk research with their views of the same risks in a potentially beneficial trial described in the second domain.10 

We recruited participants from Ipsos KnowledgePanel, the largest online research panel representative of the US population. KnowledgePanel is used frequently by academic, government, and commercial researchers and consists of 55 000 members. Ipsos randomly recruits panel members through address-based sampling methods. Members are provided with Internet and hardware if needed, thus allowing recruitment of harder-to-reach individuals. Study samples are constructed to be representative by weighting responses to the geodemographic benchmarks from the most recent US Census Bureau Current Population Survey. After the data are collected, Ipsos addresses any differential nonresponses that affect representativeness by adjusting the weights. The present analysis is based on these adjusted weights.

The survey was conducted from June 23, 2020, to July 14, 2020. Selected members were notified by e-mail of the survey, and 3 reminders were sent to nonrespondents. To be eligible, participants had to be aged ≥18 years and have English-language proficiency.

The study was deemed exempt from US research regulations by the National Institutes of Health intramural Institutional Review Board (IRB). No personally identifiable information was collected. Potential participants were informed that participation was voluntary. Those who agreed to participate were informed they could skip any question and they could stop at any time. Each Mechanical Turk participant during our pilot testing was compensated $2. KnowledgePanel participants during the main phase were compensated on the basis of their membership agreement.

The sample size was based on the primary outcome question in the second domain.10  This calculation yielded an accrual target of 1600 participants. For the present findings, we surveyed the same respondents. The study was administered by using the survey platform Qualtrics, and data were analyzed by using SAS (version 9.4) (SAS Institute, Inc, Cary, NC). Descriptive statistics were generated for the sample’s sociodemographic characteristics. Weighted summary statistics, such as proportions, were calculated by using SAS procedure SURVEYFREQ for respondents’ views on the acceptability of the described risk/social value combinations.

Associations between respondents’ sociodemographic variables and their views were tested by using χ2 tests. A P value of <.05 was considered statistically significant. Respondents’ sex and race and ethnicity are based on self-report. Given that clinical research has an unfortunate history of exploiting individuals from minority groups, we assessed whether individuals from minority groups have different views regarding net-risk pediatric research.

To assess whether respondents thought greater social value could justify increased risks, we determined how many respondents indicated that the specified procedure was not appropriate in a study with the lowest level of potential social value but was appropriate in a study with either or both of the higher levels. For example, in the kidney biopsy scenario, we assessed how many respondents indicated that it is not appropriate to expose children to a kidney biopsy in a study with the potential to identify treatments with fewer side effects, but it is appropriate in a study with the potential to identify treatments that can extend life and/or in a study to find a cure. Associations between risk level and the proportion of respondents with these response patterns were tested by using χ2 tests.

Of 2508 individuals who were sent the link to the survey, 1658 participated (response rate = 66.1%). Overall, 844 (50.9%) participants identified as female and 814 (49.1%) as male; 1334 (80.5%) identified as White, 165 (10%) as Black, 74 (4.5%) as Asian American, and 85 (5.1%) as other (Table 1).

TABLE 1

Demographics

CharacteristicAll (N = 1658)Blood Draw (n = 388)Bone Marrow Biopsy (n = 343)Kidney Biopsy (n = 396)Dose of Drug (n = 398)Noncompletersa (n = 133)
Sex       
 Male 814 (49.1) 211 (54.4) 168 (49) 202 (51) 190 (47.7) 43 (32.3) 
 Female 844 (50.9) 177 (45.6) 175 (51) 194 (49) 208 (52.3) 90 (67.7) 
Age, y       
 18–29 221 (13.3) 63 (16.2) 41 (12) 53 (13.4) 49 (12.3) 15 (11.3) 
 30–44 385 (23.2) 91 (23.5) 76 (22.2) 95 (24) 93 (23.4) 30 (22.6) 
 45–59 446 (26.9) 105 (27.1) 84 (24.5) 106 (26.8) 114 (28.6) 37 (27.8) 
 60+ 606 (36.6) 129 (33.2) 142 (41.4) 142 (35.9) 142 (35.7) 51 (38.3) 
Race       
 White 1334 (80.5) 312 (80.4) 276 (80.5) 313 (79) 328 (82.4) 105 (78.9) 
 Black 165 (10) 42 (10.8) 36 (10.5) 41 (10.4) 31 (7.8) 15 (11.3) 
 Asian American 74 (4.5) 13 (3.4) 15 (4.4) 24 (6.1) 15 (3.8) 7 (5.3) 
 Other 85 (5.1) 21 (5.4) 16 (4.7) 18 (4.5) 24 (6) 6 (4.5) 
Ethnicity       
 Hispanic 220 (13.3) 47 (12.1) 40 (11.7) 60 (15.2) 56 (14.1) 17 (12.8) 
 Non-Hispanic 1438 (86.7) 341 (87.9) 303 (88.3) 336 (84.8) 342 (85.9) 116 (87.2) 
Income       
 <$25 000 173 (10.4) 55 (14.2) 30 (8.7) 37 (9.3) 38 (9.5) 13 (9.8) 
 $25 000–$49 999 305 (18.4) 74 (19.1) 68 (19.8) 79 (19.9) 60 (15.1) 24 (18) 
 $50 000–$74 999 265 (16) 61 (15.7) 46 (13.4) 61 (15.4) 78 (19.6) 19 (14.3) 
 $75 000–$99 999 272 (16.4) 60 (15.5) 57 (16.6) 70 (17.7) 59 (14.8) 26 (19.5) 
 $100 000–$149 999 302 (18.2) 71 (18.3) 65 (19) 63 (15.9) 76 (19.1) 27 (20.3) 
 ≥$150 000 341 (20.6) 67 (17.3) 77 (22.4) 86 (21.7) 87 (21.9) 24 (18) 
Education       
 Less than high school 148 (8.9) 48 (12.4) 26 (7.6) 36 (9.1) 26 (6.5) 12 (9) 
 High school 464 (28) 113 (29.1) 93 (27.1) 118 (29.8) 102 (25.6) 38 (28.6) 
 Some college 445 (26.8) 106 (27.3) 89 (25.9) 96 (24.2) 118 (29.6) 36 (27.1) 
 Bachelor’s degree or higher 601 (36.2) 121 (31.2) 135 (39.4) 146 (36.9) 152 (38.2) 47 (35.3) 
Region       
 Northeast 305 (18.4) 73 (18.8) 67 (19.5) 60 (15.2) 86 (21.6) 19 (14.3) 
 Midwest 340 (20.5) 80 (20.6) 67 (19.5) 94 (23.7) 74 (18.6) 25 (18.8) 
 South 616 (37.2) 147 (37.9) 132 (38.5) 137 (34.6) 150 (37.7) 50 (37.6) 
 West 397 (23.9) 88 (22.7) 77 (22.4) 105 (26.5) 88 (22.1) 39 (29.3) 
Have any children?       
 No 546 (32.9) 142 (36.6) 114 (33.2) 129 (32.6) 121 (30.4) 40 (30.1) 
 Yes 1107 (66.8) 246 (63.4) 228 (66.5) 267 (67.4) 275 (69.1) 91 (68.4) 
 No response 5 (0.3) 0 (0) 1 (0.3) 0 (0) 2 (0.5) 2 (1.5) 
Child had a serious illness?       
 No 886 (80) 195 (79.3) 186 (81.6) 214 (80.1) 223 (81.1) 68 (74.7) 
 Yes 218 (19.7) 51 (20.7) 41 (18) 53 (19.9) 52 (18.9) 21 (23.1) 
 No response 3 (0.3) 0 (0) 1 (0.4) 0 (0) 0 (0) 2 (2.2) 
Enrolled in research?       
 No 1490 (89.9) 358 (92.3) 313 (91.3) 350 (88.4) 350 (87.9) 119 (89.5) 
 Yes 159 (9.6) 30 (7.7) 28 (8.2) 46 (11.6) 45 (11.3) 10 (7.5) 
 No response 9 (0.5) 0 (0) 2 (0.6) 0 (0) 3 (0.8) 4 (3.0) 
Enrolled a child in research?       
 No 1061 (95.8) 236 (95.9) 217 (95.2) 260 (97.4) 265 (96.4) 83 (91.2) 
 Yes 41 (3.7) 9 (3.7) 10 (4.4) 7 (2.6) 9 (3.3) 6 (6.6) 
 No response 5 (0.5) 1 (0.4) 1 (0.4) 0 (0) 1 (0.4) 2 (2.2) 
Attitudes toward research       
 Researchers can be trusted to protect participants       
  Strongly disagree 71 (4.3) 13 (3.4) 17 (5) 19 (4.8) 22 (5.5) 0 (0) 
  Disagree 189 (11.4) 39 (10.1) 45 (13.1) 45 (11.4) 60 (15.1) 0 (0) 
  Neutral 699 (42.2) 172 (44.3) 150 (43.7) 176 (44.4) 201 (50.5) 0 (0) 
  Agree 464 (28) 136 (35.1) 108 (31.5) 129 (32.6) 91 (22.9) 0 (0) 
  Strongly agree 75 (4.5) 24 (6.2) 15 (4.4) 21 (5.3) 15 (3.8) 0 (0) 
  No response 160 (9.7) 4 (1.1) 8 (2.3) 6 (1.6) 9 (2.3) 133 (100) 
 People have a responsibility to participate in research       
  Strongly disagree 88 (5.3) 22 (5.7) 22 (6.4) 20 (5.1) 24 (6) 0 (0) 
  Disagree 222 (13.4) 50 (12.9) 46 (13.4) 52 (13.1) 74 (18.6) 0 (0) 
  Neutral 568 (34.3) 136 (35.1) 115 (33.5) 151 (38.1) 166 (41.7) 0 (0) 
  Agree 531 (32) 153 (39.4) 132 (38.5) 141 (35.6) 105 (26.4) 0 (0) 
  Strongly agree 87 (5.2) 23 (5.9) 20 (5.8) 25 (6.3) 19 (4.8) 0 (0) 
  No response 162 (9.8) 4 (1.1) 8 (2.3) 7 (1.8) 10 (2.5) 133 (100) 
 Medical research is important       
  Strongly disagree 30 (1.8) 10 (2.6) 6 (1.7) 5 (1.3) 9 (2.3) 0 (0) 
  Disagree 17 (1) 3 (0.8) 4 (1.2) 3 (0.8) 7 (1.8) 0 (0) 
  Neutral 162 (9.8) 44 (11.3) 35 (10.2) 44 (11.1) 39 (9.8) 0 (0) 
  Agree 767 (46.3) 183 (47.2) 185 (53.9) 198 (50) 201 (50.5) 0 (0) 
  Strongly agree 519 (31.3) 144 (37.1) 104 (30.3) 139 (35.1) 132 (33.2) 0 (0) 
  No response 163 (9.9) 4 (1.1) 9 (2.6) 7 (1.8) 10 (2.5) 133 (100) 
CharacteristicAll (N = 1658)Blood Draw (n = 388)Bone Marrow Biopsy (n = 343)Kidney Biopsy (n = 396)Dose of Drug (n = 398)Noncompletersa (n = 133)
Sex       
 Male 814 (49.1) 211 (54.4) 168 (49) 202 (51) 190 (47.7) 43 (32.3) 
 Female 844 (50.9) 177 (45.6) 175 (51) 194 (49) 208 (52.3) 90 (67.7) 
Age, y       
 18–29 221 (13.3) 63 (16.2) 41 (12) 53 (13.4) 49 (12.3) 15 (11.3) 
 30–44 385 (23.2) 91 (23.5) 76 (22.2) 95 (24) 93 (23.4) 30 (22.6) 
 45–59 446 (26.9) 105 (27.1) 84 (24.5) 106 (26.8) 114 (28.6) 37 (27.8) 
 60+ 606 (36.6) 129 (33.2) 142 (41.4) 142 (35.9) 142 (35.7) 51 (38.3) 
Race       
 White 1334 (80.5) 312 (80.4) 276 (80.5) 313 (79) 328 (82.4) 105 (78.9) 
 Black 165 (10) 42 (10.8) 36 (10.5) 41 (10.4) 31 (7.8) 15 (11.3) 
 Asian American 74 (4.5) 13 (3.4) 15 (4.4) 24 (6.1) 15 (3.8) 7 (5.3) 
 Other 85 (5.1) 21 (5.4) 16 (4.7) 18 (4.5) 24 (6) 6 (4.5) 
Ethnicity       
 Hispanic 220 (13.3) 47 (12.1) 40 (11.7) 60 (15.2) 56 (14.1) 17 (12.8) 
 Non-Hispanic 1438 (86.7) 341 (87.9) 303 (88.3) 336 (84.8) 342 (85.9) 116 (87.2) 
Income       
 <$25 000 173 (10.4) 55 (14.2) 30 (8.7) 37 (9.3) 38 (9.5) 13 (9.8) 
 $25 000–$49 999 305 (18.4) 74 (19.1) 68 (19.8) 79 (19.9) 60 (15.1) 24 (18) 
 $50 000–$74 999 265 (16) 61 (15.7) 46 (13.4) 61 (15.4) 78 (19.6) 19 (14.3) 
 $75 000–$99 999 272 (16.4) 60 (15.5) 57 (16.6) 70 (17.7) 59 (14.8) 26 (19.5) 
 $100 000–$149 999 302 (18.2) 71 (18.3) 65 (19) 63 (15.9) 76 (19.1) 27 (20.3) 
 ≥$150 000 341 (20.6) 67 (17.3) 77 (22.4) 86 (21.7) 87 (21.9) 24 (18) 
Education       
 Less than high school 148 (8.9) 48 (12.4) 26 (7.6) 36 (9.1) 26 (6.5) 12 (9) 
 High school 464 (28) 113 (29.1) 93 (27.1) 118 (29.8) 102 (25.6) 38 (28.6) 
 Some college 445 (26.8) 106 (27.3) 89 (25.9) 96 (24.2) 118 (29.6) 36 (27.1) 
 Bachelor’s degree or higher 601 (36.2) 121 (31.2) 135 (39.4) 146 (36.9) 152 (38.2) 47 (35.3) 
Region       
 Northeast 305 (18.4) 73 (18.8) 67 (19.5) 60 (15.2) 86 (21.6) 19 (14.3) 
 Midwest 340 (20.5) 80 (20.6) 67 (19.5) 94 (23.7) 74 (18.6) 25 (18.8) 
 South 616 (37.2) 147 (37.9) 132 (38.5) 137 (34.6) 150 (37.7) 50 (37.6) 
 West 397 (23.9) 88 (22.7) 77 (22.4) 105 (26.5) 88 (22.1) 39 (29.3) 
Have any children?       
 No 546 (32.9) 142 (36.6) 114 (33.2) 129 (32.6) 121 (30.4) 40 (30.1) 
 Yes 1107 (66.8) 246 (63.4) 228 (66.5) 267 (67.4) 275 (69.1) 91 (68.4) 
 No response 5 (0.3) 0 (0) 1 (0.3) 0 (0) 2 (0.5) 2 (1.5) 
Child had a serious illness?       
 No 886 (80) 195 (79.3) 186 (81.6) 214 (80.1) 223 (81.1) 68 (74.7) 
 Yes 218 (19.7) 51 (20.7) 41 (18) 53 (19.9) 52 (18.9) 21 (23.1) 
 No response 3 (0.3) 0 (0) 1 (0.4) 0 (0) 0 (0) 2 (2.2) 
Enrolled in research?       
 No 1490 (89.9) 358 (92.3) 313 (91.3) 350 (88.4) 350 (87.9) 119 (89.5) 
 Yes 159 (9.6) 30 (7.7) 28 (8.2) 46 (11.6) 45 (11.3) 10 (7.5) 
 No response 9 (0.5) 0 (0) 2 (0.6) 0 (0) 3 (0.8) 4 (3.0) 
Enrolled a child in research?       
 No 1061 (95.8) 236 (95.9) 217 (95.2) 260 (97.4) 265 (96.4) 83 (91.2) 
 Yes 41 (3.7) 9 (3.7) 10 (4.4) 7 (2.6) 9 (3.3) 6 (6.6) 
 No response 5 (0.5) 1 (0.4) 1 (0.4) 0 (0) 1 (0.4) 2 (2.2) 
Attitudes toward research       
 Researchers can be trusted to protect participants       
  Strongly disagree 71 (4.3) 13 (3.4) 17 (5) 19 (4.8) 22 (5.5) 0 (0) 
  Disagree 189 (11.4) 39 (10.1) 45 (13.1) 45 (11.4) 60 (15.1) 0 (0) 
  Neutral 699 (42.2) 172 (44.3) 150 (43.7) 176 (44.4) 201 (50.5) 0 (0) 
  Agree 464 (28) 136 (35.1) 108 (31.5) 129 (32.6) 91 (22.9) 0 (0) 
  Strongly agree 75 (4.5) 24 (6.2) 15 (4.4) 21 (5.3) 15 (3.8) 0 (0) 
  No response 160 (9.7) 4 (1.1) 8 (2.3) 6 (1.6) 9 (2.3) 133 (100) 
 People have a responsibility to participate in research       
  Strongly disagree 88 (5.3) 22 (5.7) 22 (6.4) 20 (5.1) 24 (6) 0 (0) 
  Disagree 222 (13.4) 50 (12.9) 46 (13.4) 52 (13.1) 74 (18.6) 0 (0) 
  Neutral 568 (34.3) 136 (35.1) 115 (33.5) 151 (38.1) 166 (41.7) 0 (0) 
  Agree 531 (32) 153 (39.4) 132 (38.5) 141 (35.6) 105 (26.4) 0 (0) 
  Strongly agree 87 (5.2) 23 (5.9) 20 (5.8) 25 (6.3) 19 (4.8) 0 (0) 
  No response 162 (9.8) 4 (1.1) 8 (2.3) 7 (1.8) 10 (2.5) 133 (100) 
 Medical research is important       
  Strongly disagree 30 (1.8) 10 (2.6) 6 (1.7) 5 (1.3) 9 (2.3) 0 (0) 
  Disagree 17 (1) 3 (0.8) 4 (1.2) 3 (0.8) 7 (1.8) 0 (0) 
  Neutral 162 (9.8) 44 (11.3) 35 (10.2) 44 (11.1) 39 (9.8) 0 (0) 
  Agree 767 (46.3) 183 (47.2) 185 (53.9) 198 (50) 201 (50.5) 0 (0) 
  Strongly agree 519 (31.3) 144 (37.1) 104 (30.3) 139 (35.1) 132 (33.2) 0 (0) 
  No response 163 (9.9) 4 (1.1) 9 (2.6) 7 (1.8) 10 (2.5) 133 (100) 

All data are unweighted.

a

Respondents who started the survey but exited before being randomly assigned to 1 of the 4 scenarios.

The proportion of respondents who indicated that the respective research procedure was “probably” or “definitely appropriate” in children increased as the study’s potential social value increased (Table 2). For all 12 risk/social value combinations, especially those involving higher risks, the proportion of respondents who indicated that they would probably or definitely enroll their child (Table 3) was lower than the proportion indicating that the study was probably or definitely appropriate.

TABLE 2

Appropriateness of Net-Risk Pediatric Procedures

VariableBlood DrawBone Marrow BiopsyKidney BiopsyDose of Drug
All respondents 
 Potential social value (n = 388) (n = 343) (n = 396) (n = 398) 
  Reduce side effects of cancer treatment 308 (79.1) 218 (64.4) 236 (59.4) 137 (36.5) 
  Increase life by months to years 320 (82.1) 225 (66.5) 258 (66.0) 196 (51.2) 
  Cure for type of cancer 335 (87.7) 249 (74.6) 288 (73.7) 242 (63.2) 
Answered test question correctly 
 Potential social value (n = 219) (n = 196) (n = 271) (n = 281) 
  Reduce side effects of cancer treatment 191 (87.4) 133 (66.8) 167 (60.9) 91 (33.5) 
  Increase life by months to years 199 (91.1) 137 (69.2) 189 (70.0) 139 (49.7) 
  Cure for type of cancer 203 (92.9) 152 (76.5) 215 (80.5) 182 (65.2) 
VariableBlood DrawBone Marrow BiopsyKidney BiopsyDose of Drug
All respondents 
 Potential social value (n = 388) (n = 343) (n = 396) (n = 398) 
  Reduce side effects of cancer treatment 308 (79.1) 218 (64.4) 236 (59.4) 137 (36.5) 
  Increase life by months to years 320 (82.1) 225 (66.5) 258 (66.0) 196 (51.2) 
  Cure for type of cancer 335 (87.7) 249 (74.6) 288 (73.7) 242 (63.2) 
Answered test question correctly 
 Potential social value (n = 219) (n = 196) (n = 271) (n = 281) 
  Reduce side effects of cancer treatment 191 (87.4) 133 (66.8) 167 (60.9) 91 (33.5) 
  Increase life by months to years 199 (91.1) 137 (69.2) 189 (70.0) 139 (49.7) 
  Cure for type of cancer 203 (92.9) 152 (76.5) 215 (80.5) 182 (65.2) 

Those answering “probably” or “definitely” appropriate; Counts are unweighted and proportions are weighted and ignore missing answers.

The proportion of respondents finding the study appropriate in children decreased as the risks increased across the 4 scenarios (Fig 1). Among respondents who answered the test question correctly (indicating understanding that the study would not benefit their child), 87.4% considered it probably or definitely appropriate for children to undergo the least risky procedure (ie, blood draw) in a study with the potential to identify treatments with fewer side effects, whereas 33.5% considered it appropriate for children to undergo the riskiest procedure (ie, single dose of an experimental drug) in a study with the same social value.

FIGURE 1

Proportion of respondents finding the hypothetical study “probably” or “definitely appropriate.”

FIGURE 1

Proportion of respondents finding the hypothetical study “probably” or “definitely appropriate.”

Close modal
TABLE 3

Willingness to Enroll Own Child

VariableBlood DrawBone Marrow BiopsyKidney BiopsyDose of Drug
All respondents     
 Potential social value (n = 388) (n = 343) (n = 396) (n = 398) 
  Reduce side effects of cancer treatment 303 (77.5) 172 (52.1) 185 (47.3) 75 (19.5) 
  Increase life by months to years 314 (80.3) 178 (52.8) 206 (52.6) 103 (26.2) 
  Cure for type of cancer 319 (83.3) 204 (60.6) 248 (63.2) 147 (37.9) 
Answered test question correctly     
 Potential social value (n = 219) (n = 196) (n = 271) (n = 281) 
  Reduce side effects of cancer treatment 191 (86.9) 101 (52.0) 130 (48.0) 38 (13.4) 
  Increase life by months to years 198 (90.7) 102 (52.6) 148 (55.3) 68 (23.1) 
  Cure for type of cancer 202 (92.6) 120 (61.3) 179 (66.7) 105 (37.0) 
VariableBlood DrawBone Marrow BiopsyKidney BiopsyDose of Drug
All respondents     
 Potential social value (n = 388) (n = 343) (n = 396) (n = 398) 
  Reduce side effects of cancer treatment 303 (77.5) 172 (52.1) 185 (47.3) 75 (19.5) 
  Increase life by months to years 314 (80.3) 178 (52.8) 206 (52.6) 103 (26.2) 
  Cure for type of cancer 319 (83.3) 204 (60.6) 248 (63.2) 147 (37.9) 
Answered test question correctly     
 Potential social value (n = 219) (n = 196) (n = 271) (n = 281) 
  Reduce side effects of cancer treatment 191 (86.9) 101 (52.0) 130 (48.0) 38 (13.4) 
  Increase life by months to years 198 (90.7) 102 (52.6) 148 (55.3) 68 (23.1) 
  Cure for type of cancer 202 (92.6) 120 (61.3) 179 (66.7) 105 (37.0) 

Those answering “probably” or “definitely” enroll; counts are unweighted and proportions are weighted and ignore the missing answers.

As the risks increased across the scenarios, increases in the potential social value of the study had a larger effect (P < .001) on the proportion of respondents finding the research procedure appropriate. For example, just 8.4% of respondents indicated that it is not appropriate to expose children to a blood draw in a study with the lowest level of social value but indicated that it can be appropriate in a study with the higher (ie, extended life) or highest level of potential social value (ie, cure). The proportion of respondents who changed their views in the same way was 10.9% for a bone marrow biopsy, 16.5% for a kidney biopsy, and 30.0% for an experimental drug. These findings suggest that many respondents regard net-risk pediatric research that poses low risks as generally acceptable but regard net-risk pediatric research that poses somewhat higher risks as acceptable only when it has significant social value.

Respondents were also asked whether, in general, they think it can be appropriate to expose children to research risks to gather information that might benefit others. Overall, 84.5% of respondents answered yes, whereas 15.5% thought this is never appropriate. Although there were several statistically significant associations between respondents’ views and their demographic characteristics (Table 4), support for net-risk pediatric research was high in all demographic groups, and the statistically significant differences do not seem ethically or clinically significant. For example, 79.5% of Hispanic respondents endorsed net-risk pediatric research compared with 85.5% of non-Hispanic respondents. Although this difference was statistically significant, both groups expressed strong support for this research. Given this strong support across all demographic groups, we did not conduct multivariable analyses to assess whether specific variables were more likely to be associated with support than others.

TABLE 4

Predictors for Approving Net-Risk Pediatric Research

CharacteristicAppropriate in Some CasesNever AppropriateP
All respondents 1277 (84.5) 224 (15.5) — 
Sex    
 Male 656 (86.2) 98 (13.8) .09 
 Female 621 (82.9) 126 (17.1) — 
Age, y    
 18–29 181 (88.9) 21 (11.1) .03 
 30–44 288 (82.0) 57 (18.0) — 
 45–59 334 (81.0) 73 (19.0) — 
 60+ 474 (86.5) 73 (13.5) — 
Race    
 White 1041 (85.5) 169 (14.5) .02 
 Black 113 (76.0) 36 (24.0) — 
 Asian American 57 (90.4) 7 (9.6) — 
 Other 66 (82.8) 12 (17.2) — 
Ethnicity    
 Hispanic 157 (79.5) 42 (20.5) .03 
 Non-Hispanic 1120 (85.5) 182 (14.5) — 
Income    
 <$49 999 337 (77.7) 96 (22.3) <.001 
 $50 000–$99 999 429 (88.0) 55 (12.0) — 
 ≥$100 000 511 (87.4) 73 (12.6) — 
Education    
 Less than high school 93 (71.0) 39 (29.0) <.001 
 High school 339 (80.8) 79 (19.2) — 
 Some college 344 (85.1) 59 (14.9) — 
 Bachelor’s degree or higher 501 (91.4) 47 (8.6) — 
Region    
 Northeast 237 (83.9) 45 (16.1) .14 
 Midwest 277 (89.0) 34 (11.0) — 
 South 467 (83.2) 92 (16.8) — 
 West 296 (83.1) 53 (16.9) — 
Have any children?    
 No 422 (85.4) 70 (14.6) .48 
 Yes 855 (83.9) 154 (16.1) — 
Child had a serious illness?    
 No 682 (83.2) 130 (16.8) .20 
 Yes 173 (87.1) 24 (12.9) — 
Enrolled in research?    
 No 1146 (84.5) 205 (15.5) .88 
 Yes 130 (85.0) 19 (15.0) — 
Enrolled a child in research?    
 No 823 (83.9) 149 (16.1) .60 
 Yes 31 (87.5) 4 (12.5) — 
Researchers can be trusted to protect participants    
 Disagreed 168 (65.2) 91 (34.8) <.001 
 Neutral 591 (84.4) 103 (15.6) — 
 Agreed 513 (94.7) 26 (5.3) — 
People have a responsibility to participate in research    
 Disagreed 217 (71.1) 90 (28.9) <.001 
 Neutral 457 (80.0) 108 (20.0) — 
 Agreed 597 (96.6) 21 (3.4) — 
Medical research is important    
 Disagreed 25 (55.7) 22 (44.3) <.001 
 Neutral 80 (52.0) 79 (48.0) — 
 Agreed 1166 (90.7) 118 (9.3) — 
CharacteristicAppropriate in Some CasesNever AppropriateP
All respondents 1277 (84.5) 224 (15.5) — 
Sex    
 Male 656 (86.2) 98 (13.8) .09 
 Female 621 (82.9) 126 (17.1) — 
Age, y    
 18–29 181 (88.9) 21 (11.1) .03 
 30–44 288 (82.0) 57 (18.0) — 
 45–59 334 (81.0) 73 (19.0) — 
 60+ 474 (86.5) 73 (13.5) — 
Race    
 White 1041 (85.5) 169 (14.5) .02 
 Black 113 (76.0) 36 (24.0) — 
 Asian American 57 (90.4) 7 (9.6) — 
 Other 66 (82.8) 12 (17.2) — 
Ethnicity    
 Hispanic 157 (79.5) 42 (20.5) .03 
 Non-Hispanic 1120 (85.5) 182 (14.5) — 
Income    
 <$49 999 337 (77.7) 96 (22.3) <.001 
 $50 000–$99 999 429 (88.0) 55 (12.0) — 
 ≥$100 000 511 (87.4) 73 (12.6) — 
Education    
 Less than high school 93 (71.0) 39 (29.0) <.001 
 High school 339 (80.8) 79 (19.2) — 
 Some college 344 (85.1) 59 (14.9) — 
 Bachelor’s degree or higher 501 (91.4) 47 (8.6) — 
Region    
 Northeast 237 (83.9) 45 (16.1) .14 
 Midwest 277 (89.0) 34 (11.0) — 
 South 467 (83.2) 92 (16.8) — 
 West 296 (83.1) 53 (16.9) — 
Have any children?    
 No 422 (85.4) 70 (14.6) .48 
 Yes 855 (83.9) 154 (16.1) — 
Child had a serious illness?    
 No 682 (83.2) 130 (16.8) .20 
 Yes 173 (87.1) 24 (12.9) — 
Enrolled in research?    
 No 1146 (84.5) 205 (15.5) .88 
 Yes 130 (85.0) 19 (15.0) — 
Enrolled a child in research?    
 No 823 (83.9) 149 (16.1) .60 
 Yes 31 (87.5) 4 (12.5) — 
Researchers can be trusted to protect participants    
 Disagreed 168 (65.2) 91 (34.8) <.001 
 Neutral 591 (84.4) 103 (15.6) — 
 Agreed 513 (94.7) 26 (5.3) — 
People have a responsibility to participate in research    
 Disagreed 217 (71.1) 90 (28.9) <.001 
 Neutral 457 (80.0) 108 (20.0) — 
 Agreed 597 (96.6) 21 (3.4) — 
Medical research is important    
 Disagreed 25 (55.7) 22 (44.3) <.001 
 Neutral 80 (52.0) 79 (48.0) — 
 Agreed 1166 (90.7) 118 (9.3) — 

Counts are unweighted and proportions are weighted and ignore the missing answers. P values are based on weighted analysis. —, not applicable.

Of the respondents who answered yes, 39.1% indicated that risks to participants should be low no matter how high the potential social value of the study, whereas 60.9% indicated that it can be acceptable to expose children to higher risks in studies with the potential to offer greater benefits to children in the future.

Some commentators argue that clinical research is ethical only when the participants provide informed consent. The Nuremberg Code, for example, states that informed consent is “essential” to ethical research. Although this approach protects children from excessive research risks, it also precludes studies needed to improve pediatric clinical care. More recent guidelines thus permit research with children provided it has an appropriate risk/benefit profile and a legally authorized representative consents on behalf of the child.

Most commentators agree that research which offers children the potential for medical benefit is ethically appropriate. More controversial is net-risk pediatric research, in which children are exposed to risks to collect data that might benefit others. Some commentators argue that net-risk pediatric research is always unethical. Others argue it can be acceptable but only when the risks are minimal. Still others permit a minor increase over minimal risk. This study, which assessed the views of a representative sample of the US public, contributes a number of findings toward resolving this important debate.

First, 84.5% of respondents indicated that, in general, it can be appropriate to expose children to research risks to gather information that might benefit others. This strong support for net-risk pediatric research was consistent across all demographic groups. It suggests, contrary to the views of critics, that net-risk pediatric research can be ethically acceptable.

Second, ∼91% of respondents indicated that it can be acceptable to have children undergo a research blood draw to collect data that might benefit future patients. This finding provides strong support for net-risk pediatric research that poses minimal risk. This finding is consistent with previous surveys conducted in less representative populations.2730  For example, Wendler and Jenkins27  found that 79% of a convenience sample of parents were willing to have their child participate in net-risk research that poses a chance of headache.

Third, permitting net-risk pediatric research that poses a minor increase over minimal risk is controversial. Moreover, what constitutes a minor increase is not defined, and there is significant variability across IRBs regarding which risks are considered approvable in this category.31  We found strong support for net-risk pediatric research that poses somewhat higher-than-minimal risks. For example, ∼69% of respondents indicated that it can be acceptable to have children undergo a bone marrow biopsy to collect data that might benefit future patients. This finding provides strong support for net-risk pediatric research that poses a minor increase over minimal risk, provided it has important social value. It also suggests that one way to clarify this level of risk, and potentially reduce variability across IRBs, would be to cite the risks of specific procedures, such as bone marrow biopsy, as benchmarks for which risks are approvable in this category.

The present level of support for more-than-minimal-risk pediatric research is somewhat higher than the support found in less representative populations. Wendler and Jenkins27  found that 26% of respondents were willing to have their child participate in net-risk research involving a broken leg, and Freibott et al29  found that 31% of parents with a child in intensive care approved of a research brain MRI with sedation.

Fourth, we found surprisingly strong support for net-risk pediatric research that poses even greater risks, including a 1 in 100 chance of death. For example, ∼50% of respondents stated that this level of risk could be acceptable in pediatric studies that have the potential to identify treatments that extend life for future patients. In addition, 1 in 4 participants indicated a willingness to enroll their own child in such studies. These responses concern children with a life expectancy of only a few months. Hence, they do not support exposing children with an average life expectancy to the same risks. Instead, these findings likely reflect a willingness to evaluate risks in light of the specific participants’ circumstances: a risk of death in a child with a few months to live is arguably different from a risk of death in a child with average life expectancy.

At the same time, these findings suggest many members of the US public do not regard a minor increase over minimal risk as the absolute upper limit on acceptable net risks in pediatric research. In this regard, US regulations permit pediatric research that is not approvable in the categories of minimal risk, minor increase over minimal risk, or prospect of direct benefit to be submitted to a federal panel for review.3234  The regulations do not impose an explicit risk limit on approval in this fourth category. Instead, they mandate that these studies must undergo extensive additional review and be consistent with “sound ethical principles.”34  Our finding that public support for higher risks increases as the social value of the research increases suggests that pediatric studies that pose risks somewhat greater than a minor increase over minimal might be approvable in this category but only when they have the potential to collect data that have high social value and that cannot be obtained in a less risky way.

The present findings are subject to 4 important limitations. First, respondents were asked to evaluate net-risk research with children who have a few months to live. Support for net-risk pediatric research may be lower in children who have longer to live. Second, our findings are based on hypothetical scenarios. Respondents’ views may differ when faced with actual studies. Third, we assessed respondents’ views regarding net-risk research with the potential to benefit children who have the same type of cancer as the participants. Respondents may have different views regarding research designed to benefit children with other conditions. Fourth, respondents had to have English-language proficiency. Future research will be needed to assess whether the findings reflect the views of other members of the US public.

Exposing children to research risks to collect data that might benefit others is critical to improving pediatric medical care but remains controversial. Some argue that net-risk pediatric research is always unethical; others consider it acceptable but only when the risks are minimal. In the current study, we found that a representative sample of the US public disagrees. They overwhelmingly support low-risk pediatric research and also support somewhat greater risks, including risks that exceed a minor increase over minimal, provided the research has high social value. Stakeholders assessing pediatric clinical trials, and those applying the US regulations, should be aware of these findings, including the importance of evaluating the acceptability of net risks in pediatric research in light of the study’s social value.

FUNDING: Funded by the Intramural Research Program at the National Institutes of Health (NIH) Clinical Center. The NIH had no role in the design and conduct of the study. The opinions expressed are the authors’ own. They do not represent the position or policy of the NIH, the US Public Health Service, or the US Department of Health and Human Services. Funded by the National Institutes of Health (NIH).

COMPANION PAPER: A companion to this article can be found online at www.pediatrics.org/cgi/doi/10.1542/peds.2021-054429.

Mr Schupmann conceptualized and designed the study, designed the data collection instruments, collected data, drafted the initial manuscript, and reviewed and revised the manuscript; Dr Wendler designed the study, designed the data collection instruments, collected data, and reviewed and revised the manuscript; Dr Li conducted the analyses and reviewed and revised the manuscript; and all authors approve the final manuscript as submitted and agree to be accountable for all aspects of the work.

IRB

institutional review board

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Competing Interests

FINANCIAL DISCLOSURE: The authors have indicated that they have no financial relationships relevant to this article to disclose.

POTENTIAL CONFLICT OF INTEREST: The authors have indicated that they have no potential conflicts of interest to disclose.

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