Ovarian cancer study dropouts had worse health-related quality of life and psychosocial symptoms at baseline and over time

Rebecca L. Mercieca-Bebber, Melanie A. Price, Melanie L Bell, Madeleine T. King, Penelope M. Webb, Phyllis N. Butow

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Aims: Participant drop out is a major barrier to high-quality patient-reported outcome (PRO) data analysis in cancer research as patients with worsening health are more likely to dropout. To test the hypothesis that ovarian cancer patients with worse PROs would drop out earlier, we examined how patients differed by time of dropout on health-related quality of life (HRQOL), anxiety, depression, optimism and insomnia. Methods: This analysis included 619 participants, stratified by time of dropout, from the Australian Ovarian Cancer Study - Quality of Life substudy, in which participants completed PRO questionnaires at three-monthly intervals for 21 months. Trends in PROs over time were examined. Pearson correlations examined the relationship between time of dropout and baseline PROs. Multiple linear regression models including age, disease stage and time since diagnosis examined relationships between baseline and final PRO scores, and final PRO scores and dropout group. Results: Participants who dropped out earlier had significantly worse baseline HRQOL (p < 0.0001) and higher depression (p < 0.0001). For all five PROs, final scores were significantly associated with baseline scores (p < 0.0001). Time of dropout was significantly associated with final HRQOL (p = 0.003), anxiety (p = 0.05), depression (p = 0.02) and optimism (p = 0.02) scores. Depression, HRQOL and anxiety worsened at a faster rate overtime in dropouts than study completers. Conclusions: Poorer HRQOL and higher depression at baseline, and final HRQOL, anxiety, depression and optimism scores were predictive of time of dropout. These results highlight the importance of collecting auxiliary data to inform careful and considered handling of missing PRO data during analysis, interpretation and reporting.

Original languageEnglish (US)
JournalAsia-Pacific Journal of Clinical Oncology
DOIs
StateAccepted/In press - 2016

Fingerprint

Ovarian Neoplasms
Quality of Life
Depression
Anxiety
Linear Models
Sleep Initiation and Maintenance Disorders
Research Design
Patient Reported Outcome Measures
Health
Research
Optimism
Neoplasms

Keywords

  • Depression
  • Ovarian neoplasms
  • Patient outcome assessment
  • Quality of life

ASJC Scopus subject areas

  • Oncology

Cite this

Ovarian cancer study dropouts had worse health-related quality of life and psychosocial symptoms at baseline and over time. / Mercieca-Bebber, Rebecca L.; Price, Melanie A.; Bell, Melanie L; King, Madeleine T.; Webb, Penelope M.; Butow, Phyllis N.

In: Asia-Pacific Journal of Clinical Oncology, 2016.

Research output: Contribution to journalArticle

Mercieca-Bebber, Rebecca L. ; Price, Melanie A. ; Bell, Melanie L ; King, Madeleine T. ; Webb, Penelope M. ; Butow, Phyllis N. / Ovarian cancer study dropouts had worse health-related quality of life and psychosocial symptoms at baseline and over time. In: Asia-Pacific Journal of Clinical Oncology. 2016.
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abstract = "Aims: Participant drop out is a major barrier to high-quality patient-reported outcome (PRO) data analysis in cancer research as patients with worsening health are more likely to dropout. To test the hypothesis that ovarian cancer patients with worse PROs would drop out earlier, we examined how patients differed by time of dropout on health-related quality of life (HRQOL), anxiety, depression, optimism and insomnia. Methods: This analysis included 619 participants, stratified by time of dropout, from the Australian Ovarian Cancer Study - Quality of Life substudy, in which participants completed PRO questionnaires at three-monthly intervals for 21 months. Trends in PROs over time were examined. Pearson correlations examined the relationship between time of dropout and baseline PROs. Multiple linear regression models including age, disease stage and time since diagnosis examined relationships between baseline and final PRO scores, and final PRO scores and dropout group. Results: Participants who dropped out earlier had significantly worse baseline HRQOL (p < 0.0001) and higher depression (p < 0.0001). For all five PROs, final scores were significantly associated with baseline scores (p < 0.0001). Time of dropout was significantly associated with final HRQOL (p = 0.003), anxiety (p = 0.05), depression (p = 0.02) and optimism (p = 0.02) scores. Depression, HRQOL and anxiety worsened at a faster rate overtime in dropouts than study completers. Conclusions: Poorer HRQOL and higher depression at baseline, and final HRQOL, anxiety, depression and optimism scores were predictive of time of dropout. These results highlight the importance of collecting auxiliary data to inform careful and considered handling of missing PRO data during analysis, interpretation and reporting.",
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AU - Webb, Penelope M.

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N2 - Aims: Participant drop out is a major barrier to high-quality patient-reported outcome (PRO) data analysis in cancer research as patients with worsening health are more likely to dropout. To test the hypothesis that ovarian cancer patients with worse PROs would drop out earlier, we examined how patients differed by time of dropout on health-related quality of life (HRQOL), anxiety, depression, optimism and insomnia. Methods: This analysis included 619 participants, stratified by time of dropout, from the Australian Ovarian Cancer Study - Quality of Life substudy, in which participants completed PRO questionnaires at three-monthly intervals for 21 months. Trends in PROs over time were examined. Pearson correlations examined the relationship between time of dropout and baseline PROs. Multiple linear regression models including age, disease stage and time since diagnosis examined relationships between baseline and final PRO scores, and final PRO scores and dropout group. Results: Participants who dropped out earlier had significantly worse baseline HRQOL (p < 0.0001) and higher depression (p < 0.0001). For all five PROs, final scores were significantly associated with baseline scores (p < 0.0001). Time of dropout was significantly associated with final HRQOL (p = 0.003), anxiety (p = 0.05), depression (p = 0.02) and optimism (p = 0.02) scores. Depression, HRQOL and anxiety worsened at a faster rate overtime in dropouts than study completers. Conclusions: Poorer HRQOL and higher depression at baseline, and final HRQOL, anxiety, depression and optimism scores were predictive of time of dropout. These results highlight the importance of collecting auxiliary data to inform careful and considered handling of missing PRO data during analysis, interpretation and reporting.

AB - Aims: Participant drop out is a major barrier to high-quality patient-reported outcome (PRO) data analysis in cancer research as patients with worsening health are more likely to dropout. To test the hypothesis that ovarian cancer patients with worse PROs would drop out earlier, we examined how patients differed by time of dropout on health-related quality of life (HRQOL), anxiety, depression, optimism and insomnia. Methods: This analysis included 619 participants, stratified by time of dropout, from the Australian Ovarian Cancer Study - Quality of Life substudy, in which participants completed PRO questionnaires at three-monthly intervals for 21 months. Trends in PROs over time were examined. Pearson correlations examined the relationship between time of dropout and baseline PROs. Multiple linear regression models including age, disease stage and time since diagnosis examined relationships between baseline and final PRO scores, and final PRO scores and dropout group. Results: Participants who dropped out earlier had significantly worse baseline HRQOL (p < 0.0001) and higher depression (p < 0.0001). For all five PROs, final scores were significantly associated with baseline scores (p < 0.0001). Time of dropout was significantly associated with final HRQOL (p = 0.003), anxiety (p = 0.05), depression (p = 0.02) and optimism (p = 0.02) scores. Depression, HRQOL and anxiety worsened at a faster rate overtime in dropouts than study completers. Conclusions: Poorer HRQOL and higher depression at baseline, and final HRQOL, anxiety, depression and optimism scores were predictive of time of dropout. These results highlight the importance of collecting auxiliary data to inform careful and considered handling of missing PRO data during analysis, interpretation and reporting.

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