Validation of the multidimensional impact of Cancer Risk Assessment Questionnaire to assess impact of waiting for genome sequencing results

Objective To determine whether the existing Multidimensional Impact of Cancer Risk Assessment (MICRA) scale, which assesses impact of receiving genetic test results on individuals being assessed for cancer risk, can be successfully adapted to cancer patients experiencing prolonged waiting for result...

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Veröffentlicht in:Psycho-oncology (Chichester, England) England), 2022-07, Vol.31 (7), p.1204-1211
Hauptverfasser: Best, Megan, Napier, Christine, Schlub, Timothy, Bartley, Nicci, Biesecker, Barbara, Ballinger, Mandy, Butow, Phyllis
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container_end_page 1211
container_issue 7
container_start_page 1204
container_title Psycho-oncology (Chichester, England)
container_volume 31
creator Best, Megan
Napier, Christine
Schlub, Timothy
Bartley, Nicci
Biesecker, Barbara
Ballinger, Mandy
Butow, Phyllis
description Objective To determine whether the existing Multidimensional Impact of Cancer Risk Assessment (MICRA) scale, which assesses impact of receiving genetic test results on individuals being assessed for cancer risk, can be successfully adapted to cancer patients experiencing prolonged waiting for results of germline genome sequencing (GS). Methods Patients previously diagnosed with likely hereditary cancer (n = 250) who were waiting for germline GS results completed questionnaires 3 months after baseline. We adapted the MICRA to measure anxiety associated with waiting for results, and assessed factor structure, internal consistency, test–retest reliability and construct validation. Results Factor analysis revealed four factors: distress, positive experience, family support and uncertainty. Internal consistency for each sub‐scale was high with the values of Cronbach's alpha for the distress, positive experiences, family support and uncertainty sub‐scales 0.92, 0.88, 0.92 and 0.87, respectively. Test–retest reliability was poor, with intra‐class correlations of 0.53, 0.13, 0.33 and 0.52 for the four factors, respectively. Construct validation showed large correlations between the MICRA distress and uncertainty sub‐scale scores and the Impact of Events score intrusion (0.42 and 0.62, respectively) and IES avoidant thinking sub‐scales (0.40 and 0.58, respectively) but not the Hospital Anxiety and Depression Scale sub‐scales. Conclusions The adapted MICRA identified test‐related anxiety and uncertainty in a population of cancer patients waiting for germline GS results. Results suggest that the distress and uncertainty sub‐scales of the adapted measure are most useful in this context. Key points The adapted Multidimensional Impact of Cancer Risk Assessment (MICRA) scale identifies germline genome sequencing (GS) test‐related anxiety and uncertainty in cancer patients undergoing prolonged waiting for results Use of the adapted MICRA scale will enable identification of patients who require psychological support while awaiting germline GS test results
doi_str_mv 10.1002/pon.5908
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Methods Patients previously diagnosed with likely hereditary cancer (n = 250) who were waiting for germline GS results completed questionnaires 3 months after baseline. We adapted the MICRA to measure anxiety associated with waiting for results, and assessed factor structure, internal consistency, test–retest reliability and construct validation. Results Factor analysis revealed four factors: distress, positive experience, family support and uncertainty. Internal consistency for each sub‐scale was high with the values of Cronbach's alpha for the distress, positive experiences, family support and uncertainty sub‐scales 0.92, 0.88, 0.92 and 0.87, respectively. Test–retest reliability was poor, with intra‐class correlations of 0.53, 0.13, 0.33 and 0.52 for the four factors, respectively. Construct validation showed large correlations between the MICRA distress and uncertainty sub‐scale scores and the Impact of Events score intrusion (0.42 and 0.62, respectively) and IES avoidant thinking sub‐scales (0.40 and 0.58, respectively) but not the Hospital Anxiety and Depression Scale sub‐scales. Conclusions The adapted MICRA identified test‐related anxiety and uncertainty in a population of cancer patients waiting for germline GS results. Results suggest that the distress and uncertainty sub‐scales of the adapted measure are most useful in this context. Key points The adapted Multidimensional Impact of Cancer Risk Assessment (MICRA) scale identifies germline genome sequencing (GS) test‐related anxiety and uncertainty in cancer patients undergoing prolonged waiting for results Use of the adapted MICRA scale will enable identification of patients who require psychological support while awaiting germline GS test results</description><identifier>ISSN: 1057-9249</identifier><identifier>EISSN: 1099-1611</identifier><identifier>DOI: 10.1002/pon.5908</identifier><identifier>PMID: 35194887</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Anxiety ; Cancer ; Cronbach's alpha ; distress ; Factor analysis ; Family support ; genetic testing ; Genomes ; Genomics ; Health psychology ; Intrusion ; MICRA ; Oncology ; Psychological distress ; Questionnaires ; Reliability ; Risk assessment ; statistical ; Test anxiety ; Uncertainty</subject><ispartof>Psycho-oncology (Chichester, England), 2022-07, Vol.31 (7), p.1204-1211</ispartof><rights>2022 The Authors. 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Methods Patients previously diagnosed with likely hereditary cancer (n = 250) who were waiting for germline GS results completed questionnaires 3 months after baseline. We adapted the MICRA to measure anxiety associated with waiting for results, and assessed factor structure, internal consistency, test–retest reliability and construct validation. Results Factor analysis revealed four factors: distress, positive experience, family support and uncertainty. Internal consistency for each sub‐scale was high with the values of Cronbach's alpha for the distress, positive experiences, family support and uncertainty sub‐scales 0.92, 0.88, 0.92 and 0.87, respectively. Test–retest reliability was poor, with intra‐class correlations of 0.53, 0.13, 0.33 and 0.52 for the four factors, respectively. Construct validation showed large correlations between the MICRA distress and uncertainty sub‐scale scores and the Impact of Events score intrusion (0.42 and 0.62, respectively) and IES avoidant thinking sub‐scales (0.40 and 0.58, respectively) but not the Hospital Anxiety and Depression Scale sub‐scales. Conclusions The adapted MICRA identified test‐related anxiety and uncertainty in a population of cancer patients waiting for germline GS results. Results suggest that the distress and uncertainty sub‐scales of the adapted measure are most useful in this context. 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Methods Patients previously diagnosed with likely hereditary cancer (n = 250) who were waiting for germline GS results completed questionnaires 3 months after baseline. We adapted the MICRA to measure anxiety associated with waiting for results, and assessed factor structure, internal consistency, test–retest reliability and construct validation. Results Factor analysis revealed four factors: distress, positive experience, family support and uncertainty. Internal consistency for each sub‐scale was high with the values of Cronbach's alpha for the distress, positive experiences, family support and uncertainty sub‐scales 0.92, 0.88, 0.92 and 0.87, respectively. Test–retest reliability was poor, with intra‐class correlations of 0.53, 0.13, 0.33 and 0.52 for the four factors, respectively. 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source Applied Social Sciences Index & Abstracts (ASSIA); Wiley Online Library All Journals
subjects Anxiety
Cancer
Cronbach's alpha
distress
Factor analysis
Family support
genetic testing
Genomes
Genomics
Health psychology
Intrusion
MICRA
Oncology
Psychological distress
Questionnaires
Reliability
Risk assessment
statistical
Test anxiety
Uncertainty
title Validation of the multidimensional impact of Cancer Risk Assessment Questionnaire to assess impact of waiting for genome sequencing results
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