TY - JOUR
T1 - Picture This
T2 - Presenting Longitudinal Patient-Reported Outcome Research Study Results to Patients
AU - PRO Data Presentation Stakeholder Advisory Board
AU - Tolbert, Elliott
AU - Brundage, Michael
AU - Bantug, Elissa
AU - Blackford, Amanda L.
AU - Smith, Katherine
AU - Snyder, Claire
N1 - Publisher Copyright:
© The Author(s) 2018.
PY - 2018/11/1
Y1 - 2018/11/1
N2 - Background. Patient-reported outcome (PRO) results from clinical trials and research studies can inform patient-clinician decision making. However, data presentation issues specific to PROs, such as scaling directionality (higher scores may represent better or worse outcomes) and scoring strategies (normed v. nonnormed scores), can make the interpretation of PRO scores uniquely challenging. Objective. To identify the association of PRO score directionality, score norming, and other factors on a) how accurately PRO scores are interpreted and b) how clearly they are rated by patients, clinicians, and PRO researchers. Methods. We electronically surveyed adult cancer patients/survivors, oncology clinicians, and PRO researchers and conducted one-on-one cognitive interviews with patients/survivors and clinicians. Participants were randomized to 1 of 3 line graph formats showing longitudinal change: higher scores indicating “better,” “more” (better for function, worse for symptoms), or “normed” to a population average. Quantitative data evaluated interpretation accuracy and clarity. Online survey comments and cognitive interviews were analyzed qualitatively. Results. The Internet sample included 629 patients, 139 clinicians, and 249 researchers; 10 patients and 5 clinicians completed cognitive interviews. “Normed” line graphs were less accurately interpreted than “more” (odds ratio [OR] = 0.76; P = 0.04). “Better” line graphs were more accurately interpreted than both “more” (OR = 1.43; P = 0.01) and “normed” (OR = 1.88; P = 0.04). “Better” line graphs were more likely to be rated clear than “more” (OR = 1.51; P = 0.05). Qualitative data informed interpretation of these findings. Limitations. The survey relied on the online platforms used for distribution and consequent snowball sampling. We do not have information regarding participants’ numeracy/graph literacy. Conclusions. For communicating PROs as line graphs in patient educational materials and decision aids, these results support using graphs, with higher scores consistently indicating better outcomes.
AB - Background. Patient-reported outcome (PRO) results from clinical trials and research studies can inform patient-clinician decision making. However, data presentation issues specific to PROs, such as scaling directionality (higher scores may represent better or worse outcomes) and scoring strategies (normed v. nonnormed scores), can make the interpretation of PRO scores uniquely challenging. Objective. To identify the association of PRO score directionality, score norming, and other factors on a) how accurately PRO scores are interpreted and b) how clearly they are rated by patients, clinicians, and PRO researchers. Methods. We electronically surveyed adult cancer patients/survivors, oncology clinicians, and PRO researchers and conducted one-on-one cognitive interviews with patients/survivors and clinicians. Participants were randomized to 1 of 3 line graph formats showing longitudinal change: higher scores indicating “better,” “more” (better for function, worse for symptoms), or “normed” to a population average. Quantitative data evaluated interpretation accuracy and clarity. Online survey comments and cognitive interviews were analyzed qualitatively. Results. The Internet sample included 629 patients, 139 clinicians, and 249 researchers; 10 patients and 5 clinicians completed cognitive interviews. “Normed” line graphs were less accurately interpreted than “more” (odds ratio [OR] = 0.76; P = 0.04). “Better” line graphs were more accurately interpreted than both “more” (OR = 1.43; P = 0.01) and “normed” (OR = 1.88; P = 0.04). “Better” line graphs were more likely to be rated clear than “more” (OR = 1.51; P = 0.05). Qualitative data informed interpretation of these findings. Limitations. The survey relied on the online platforms used for distribution and consequent snowball sampling. We do not have information regarding participants’ numeracy/graph literacy. Conclusions. For communicating PROs as line graphs in patient educational materials and decision aids, these results support using graphs, with higher scores consistently indicating better outcomes.
KW - clinical trials
KW - comparative effectiveness research
KW - graphic communication
KW - knowledge translation
KW - patient-reported outcomes
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U2 - 10.1177/0272989X18791177
DO - 10.1177/0272989X18791177
M3 - Article
C2 - 30132393
AN - SCOPUS:85053306141
SN - 0272-989X
VL - 38
SP - 994
EP - 1005
JO - Medical Decision Making
JF - Medical Decision Making
IS - 8
ER -