Skip to main content
Trials logoLink to Trials
. 2021 Feb 16;22:146. doi: 10.1186/s13063-021-05057-3

Correction to: The NYCKidSeq project: study protocol for a randomized controlled trial incorporating genomics into the clinical care of diverse New York City children

Jacqueline A Odgis 1,#, Katie M Gallagher 2,#, Sabrina A Suckiel 1,#, Katherine E Donohue 1, Michelle A Ramos 3,4, Nicole R Kelly 2, Gabrielle Bertier 1, Christina Blackburn 1, Kaitlyn Brown 2, Lena Fielding 5, Jessenia Lopez 2, Karla Lopez Aguiniga 1, Estefany Maria 2, Jessica E Rodriguez 1, Monisha Sebastin 2, Nehama Teitelman 6, Dana Watnick 6, Nicole M Yelton 1, Avinash Abhyankar 5, Noura S Abul-Husn 1,7,8, Aaron Baum 9, Laurie J Bauman 6, Jules C Beal 10, Toby Bloom 5, Charlotte Cunningham-Rundles 8,11, George A Diaz 7,11, Siobhan Dolan 12, Bart S Ferket 3, Vaidehi Jobanputra 5,13, Patricia Kovatch 7,14, Thomas V McDonald 15, Patricia E McGoldrick 16,17, Rosamond Rhodes 18, Michael L Rinke 2, Mimsie Robinson 19, Arye Rubinstein 20, Lisa H Shulman 2, Christian Stolte 5, Steven M Wolf 16,17, Elissa Yozawitz 2,21, Randi E Zinberg 7,22, John M Greally 2, Bruce D Gelb 7,11,23, Carol R Horowitz 3,4, Melissa P Wasserstein 2, Eimear E Kenny 1,7,8,
PMCID: PMC7885500  PMID: 33593377

Correction to: Trials 22, 56 (2021)

https://doi.org/10.1186/s13063-020-04953-4

Following publication of the original article [1], we were notified that the originally published Table 2 was incorrect. References 1–33 were not impacted by the table update and remain unchanged, but are updated from reference 34 onward.

  • Originally published Table 2

Table 2.

NYCKidSeq participant outcomes by survey timepoint

Variable Source BL1 ROR12 ROR23
Primary outcome
Perceived understanding of genomic testing results NYCKidSeq developed measure (novel) X X
Secondary outcomes
Objective understanding of genomic testing results NYCKidSeq developed measure (novel) X X
Medical actions and non-medical/patient-initiated actions attributable to genomic testing CSER developed measures (novel): Attributable to Genomic Testing (RMA) and Patient-Initiated Actions Attributable to Genomic Testing (PIA) X
Attitudes
Satisfaction with the mode of delivery CSER developed measure (novel) adapted from Patient Assessment of cancer Communication Experiences (PACE) [34, 35] X
Satisfaction with results Satisfaction with information about medicine (SIMS) [36] X
Attitudes toward genetic testing Adapted from Genetic testing to Understand and Address Renal Disease Disparities (GUARDD) study [37, 38] X X X
Empowerment Adapted from GUARDD study [37] X X X
Decisional conflict Decisional Conflict Scale (Low Literacy) [39] X X X
Perceived utility
Impact of genomic testing on health status Functional status II-R (child) [40] X X
Impact of genomic testing on quality of life Child Health Utility Instrument (CHU9D; parent as proxy) [41]; SF-12 health survey (for parent) [42] X X
Clinical utility Patient-reported utility (PrU) [43] X X
Psychological impact
Feelings about genomic testing results Feelings About Genomic Testing Results (FACToR) [44] X X
Uncertainty Perceptions of Uncertainties in Genomic Sequencing (PUGS) [45]; FACToR subscale [44] X X
Depression 8-item Patient Health Questionnaire depression scale (PHQ-8) [46] X X X
Anxiety Generalized Anxiety Disorder Screener (GAD-2) [47, 48] X X X
Perceived stress Perceived Stress Scale 4-item (PSS-4) [49] X X X
Self-efficacy Decision Self-Efficacy Scale [50] X
Patient activation Short Form Patient Activation Measure (PAM) [51] X
Decisional regret Decision Regret Scale [52] X X
Behavioral impact
Information seeking CSER developed measure (novel); Adapted from Psychological Adaptation to Genetic Information Scale [53] X X
Family communication CSER developed measure (novel) X
Social impact
Support Low-Literacy Decisional Conflict Scale (Q6 and Q8) [54] X X X
Access to care CSER developed measure (novel) X X X
Life chaos Chaos Scale [55] X
Family and community Medical Outcomes Study Social Support Survey (mMOS-SS) [56] X
Quality of life ascertainment (for child) PedsQL Parent Proxy Generic Core [57]; EuroQol-Visual Analog Scale (VAS) [58] X X
Economic impact
Cost/value CSER developed measure (novel) X X
Healthcare utilization Self-reported Utilization of Health Care Services [59] X X
Sociodemographic factors
Literacy; numeracy BRIEF Health Literacy Survey [60]; Subjective Numeracy Scale (SNS-3) [61] X
History of receiving genetic testing Adapted from the GUARDD study [37] X
Trust in healthcare system CSER developed measure (novel) adapted from Health Care System Distrust Scale [62] X
Health beliefs Brief Illness Perception Questionnaire (IPQ) [63] X
Child and parent: sex, age, race/ethnicity, country of origin, language, insurance status, residential history, zip code CSER developed measure (novel); Adapted from HCHS/SOL Personal Information Questionnaire [64] X
Parent only: education level, employment, income, household, marital status CSER developed measure (novel); Adapted from HCHS/SOL Personal Information Questionnaire [64] X
Grandparents of child: residential history Adapted from HCHS/SOL Personal Information Questionnaire [64] X

1BL = baseline survey

2ROR1 = return of results, visit 1 survey

3ROR2 = return of results, visit 2 survey

  • Corrected Table 2

Table 2.

NYCKidSeq participant outcomes by survey timepoint

VARIABLE SOURCEa BLb ROR1c ROR2d
Understanding
Perceived understanding of genomic testing results NYCKidSeq (novel); CSER (novel); CSER measure adapted from Psychological Adaptation to Genetic Information Scale (PAGIS) [35] X X
Objective understanding of genomic testing results NYCKidSeq (novel) X X
Understanding of medical follow up & actionability Adapted from CSER (novel): Recommended Medical Actions and Follow Through on Recommendations Attributable to Genomic Testing (MRA) X
Attitudes
Expectations of genetic testing Adapted from Patient Reported Utility (PrU) [36]; NYCKidSeq (novel) X
Satisfaction with results and communication mode CSER (novel) X
Patient assessment of communication CSER measure adapted from Patient Assessment of cancer Communication Experiences (PACE) [37, 38] X
Evaluation of communication tool (GUÍA) NYCKidSeq (novel) adapted from Lobb et al. 2006 [39) and Sanderson et al. 2016 [40] X
Satisfaction with interpretation and perceived cultural concordance (Spanish speakers only) CSER (novel) X
Evaluation of provided patient resources NYCKidSeq (novel) X
Perceived Utility
Patient reported utility CSER measure adapted from Patient Reported Utility (PrU) [36] X X
Psychological Impact
Feelings about genomic testing results CSER measure adapted from Feelings About Genomic Testing Results (FACToR) [41] X X
Uncertainty CSER measure adapted from Perceptions of Uncertainties in Genomic Sequencing (PUGS) [42] and FACToR subscale [41] X X
Decisional regret (for positive secondary findings only) Adapted from Decision Regret Scale [43] X X
Behavioral Impact
Information seeking CSER (novel) X X
Adherence to medical follow up recommendations; Patient-Initiated actions attributable to genomic testing CSER (novel): Recommended Medical Actions and Follow Through on Recommendations Attributable to Genomic Testing (MRA); Patient-Initiated Actions Attributable to Genomic Testing (PIA) X
Family communication CSER (novel) X
Social Impact
Access to care CSER measure adapted from Medicare Expenditure Panel Survey, Household Component (MEPS-HC) [44] X
Quality of life ascertainment (for child) Pediatric Quality of Life Inventory (PedsQL) Parent Proxy Generic Core [45]; Adapted from EuroQol-Visual Analog Scale (VAS) [46] X X
Economic Impact
Cost utility Adapted from Hebert et al. 2008 [47] and Valuation of Informal Care Questionnaire (iVICQ) [48] X X
Sociodemographic Factors
Health literacy; Subjective numeracy CSER measure adapted from BRIEF Health Literacy Survey [49]; CSER measure adapted from Subjective Numeracy Scale (SNS-3) [50] X
History of receiving genetic testing NYCKidSeq (novel) adapted from Genetic testing to Understand and Address Renal Disease Disparities (GUARDD) study [51] X
Trust in health care system CSER measure adapted from Health Care System Distrust Scale [52] X
Insurance status of child CSER measure adapted from National Health and Nutrition Examination Survey (NHANES) [53] X X
Child only: sex, grandparent(s) country of origin CSER measure adapted from GenIUSS [54], CSER (novel) X
Child and Parent: age, race/ethnicity, country of origin, zip code Date of birth, CSER measure adapted from US Census [55, 56], CSER (novel), Zip code X
Parent only: education level, language, income, household, marital status

Education and language: CSER (novel)

Income and household: CSER measure adapted from NHANES [53]

Marital status: NYCKidSeq (novel)

X

aNote: NYCKidSeq measures were developed specifically for the RCT. CSER measures were developed by a collaborative group of CSER investigators, as outlined in Goddard et al., 2020 [56]

bBL Baseline survey

cROR1 Return of results, visit 1 survey

dROR2 Return of results, visit 2 survey

REFERENCES:

34. Read CY, Perry DJ, Duffy ME. Design and psychometric evaluation of the Psychological Adaptation to Genetic Information Scale. J Nurs Scholarsh. 2005;37(3):203–8.

35. Kohler JN, Turbitt E, Lewis KL, Wilfond BS, Jamal L, Peay HL, et al. Defining personal utility in genomics: A Delphi study. Clin Genet. 2017 Sep;92(3):290–7.

36. Mazor KM, Street RL Jr, Sue VM, Williams AE, Rabin BA, Arora NK. Assessing patients’ experiences with communication across the cancer care continuum. Patient Educ Couns. 2016 Aug;99(8):1343–8.

37. Street RL Jr, Mazor KM, Arora NK. Assessing Patient-Centered Communication in Cancer Care: Measures for Surveillance of Communication Outcomes. J Oncol Pract. 2016 Dec;12(12):1198–202.

38. Lobb EA, Butow PN, Moore A, Barratt A, Tucker K, Gaff C, et al. Development of a communication aid to facilitate risk communication in consultations with unaffected women from high risk breast cancer families: a pilot study. J Genet Couns. 2006;15:393–405.

39. Sanderson SC, Suckiel SA, Zweig M, Bottinger EP, Jabs EW, Richardson LD. Development and preliminary evaluation of an online educational video about whole-genome sequencing for research participants, patients, and the general public. Genet Med. 2016;18:501–12.

40. Li M, Bennette CS, Amendola LM, Ragan Hart M, Heagerty P, Comstock B, et al. The Feelings About genomiC Testing Results (FACToR) Questionnaire: Development and Preliminary Validation. J Genet Couns. 2019 Apr;28(2):477–90.

41. Biesecker BB, Woolford SW, Klein WMP, Brothers KB, Umstead KL, Lewis KL, et al. PUGS: A novel scale to assess perceptions of uncertainties in genome sequencing. Clin Genet. 2017 Aug;92(2):172–9.

42. Brehaut JC, O’Connor AM, Wood TJ, Hack TF, Siminoff L, Gordon E, et al. Validation of a decision regret scale. Med Decis Making. 2003 Jul;23(4):281–92.

43. Agency for Healthcare Research and Quality (AHRQ). Medicare Expenditure Panel Survey (MEPS)-Household Component (HC), Access to Care Section (P18R5/P19R3/P20R1), Variable: Recommended Family Testing & Monitoring. US Department of Health and Human Services.

44. Varni JW, Seid M, Kurtin PS. PedsQLTM 4.0: Reliability and Validity of the Pediatric Quality of Life InventoryTM Version 4.0 Generic Core Scales in Healthy and Patient Populations. Med Care. 2001 Aug;39(8):800.

45. Wille N, Badia X, Bonsel G, Burström K, Cavrini G, Devlin N, et al. Development of the EQ-5D-Y: a child-friendly version of the EQ-5D [Internet]. Quality of Life Research. 2010. p. 875–86. Available from: 10.1007/s11136-010-9648-y

46. Hebert PL, Sisk JE, Wang JJ, Tuzzio L, Casabianca JM, Chassin MR, et al. Cost-effectiveness of nurse-led disease management for heart failure in an ethnically diverse urban community. Ann Intern Med. 2008;149:540–8.

47. Hoefman RJ, Van Exel NJA, Brouwer WBF. iMTA Valuation of Informal Care Questionnaire (iVICQ). Version 1.0 (December 2011). Rotterdam: iBMG / iMTA, 2011. [retrieved from www.bmg.eur.nl/english/imta/publications/manuals_questionnaires/ on 01/12/2021]

48. Haun, J., Noland Dodd, V. J., Graham-Pole, J., Rienzo, B., & Donaldson, P. (2009). Testing a Health Literacy Screening Tool: Implications for Utilization of a BRIEF Health Literacy Indicator. Federal Practitioner, 26(12), 24-31.

49. McNaughton CD, Cavanaugh KL, Kripalani S, Rothman RL, Wallston KA. Validation of a Short, 3-Item Version of the Subjective Numeracy Scale [Internet]. Vol. 35, Medical Decision Making. 2015. p. 932–6. Available from: 10.1177/0272989x15581800

50. Horowitz CR, Abul-Husn NS, Ellis S, Ramos MA, Negron R, Suprun M, et al. Determining the effects and challenges of incorporating genetic testing into primary care management of hypertensive patients with African ancestry. Contemp Clin Trials. 2016 Mar;47:101–8.

51. Shea JA, Micco E, Dean LT, McMurphy S, Sanford Schwartz J, Armstrong K. Development of a Revised Health Care System Distrust Scale [Internet]. Vol. 23, Journal of General Internal Medicine. 2008. p. 727–32. Available from: 10.1007/s11606-008-0575-3

52. United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Health Statistics. National Health and Nutrition Examination Survey (NHANES), 1999-2000 [Internet]. ICPSR Data Holdings. 2009. Available from: 10.3886/icpsr25501.v3

53. The GenIUSS Group. Best Practices for Asking Questions to Identify Transgender and Other Gender Minority Respondents on Population- Based Surveys. Los Angeles, CA: The Williams Institute, 2014.

54. Jones NA. Update on the U.S. Census Bureau’s Race and Ethic Research for the 2020 Census. Survey News 2015;3(5). (https://www.census.gov/content/ dam/Census/newsroom/press-kits/2014/article_race_ethnic_research_2020census_jones.pdf)

55. Matthews K, Phelan J, Jones NA, Konya S, Marks R, Pratt BM, et al. 2015 national content test race and ethnicity analysis report: A new design for the 21st century. US Census Bureau Washington, DC; 2017.

56. Goddard KAB, Angelo FAN, Ackerman SL, Berg JS, Biesecker BB, Danila MI, et al. Lessons learned about harmonizing survey measures for the CSER consortium. Journal of Clinical and Translational Science. Cambridge University Press; 2020;4:537–46.

The original article has been corrected.

Footnotes

Jacqueline A. Odgis, Katie M. Gallagher and Sabrina A. Suckiel contributed equally to this work.

Reference

  • 1.Odgis JA, et al. The NYCKidSeq project: study protocol for a randomized controlled trial incorporating genomics into the clinical care of diverse New York City children. Trials. 2021;22:56. doi: 10.1186/s13063-020-04953-4. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Trials are provided here courtesy of BMC

RESOURCES