Advertisement
JOGC
GYNAECOLOGY| Volume 36, ISSUE 8, P708-715, August 2014

Determinants of Quality of Life in Ovarian Cancer Survivors: A Pilot Study

      Abstract

      Objective

      Ovarian cancer treatments and outcomes vary substantially, yielding a diverse group of survivors. Few data exist on quality of life (QoL) concerns and the foremost needs of these patients. Our goal was to conduct a pilot study to determine the QoL needs of ovarian cancer survivors to establish priorities for future interventions.

      Methods

      In this cross-sectional study, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaires (EORTC QLQ-C30 and OV28) QoL questionnaires and one investigator-derived questionnaire were administered in an outpatient setting. Clinical parameters were abstracted and tested for associations with QoL measures.

      Results

      A total of 102 women consented to participate and completed all components. Their mean age was 58 years (range 29 to 85), with 80% having epithelial ovarian carcinoma and 66% high-grade serous carcinoma. Women with stage I (28%), II (15%), III (47%), and IV (10%) lesions were represented in the primary treatment (25%), surveillance (46%), recurrent (23%), and palliative (7%) phases of the survivorship continuum. Fifty-one percent characterized their disease burden as “quite a bit” or ”very much,” and this did not vary by histology or diagnoses. Global QoL did not vary by clinico-pathologic parameters. Cardiovascular and respiratory comorbidities were associated with EORTC scores in physical functioning (P=0.027 for cardiovascular and P=0.041 for respiratory), global QoL (P=0.03 for cardiovascular and P=0.039 for respiratory), and sexual health (P=0.025 for cardiovascular). Task completion/memory/concentration, anxiety, and fatigue were the distress categories given highest priority by respondents.

      Conclusion

      In women with ovarian cancer, clinical factors such as age, stage, and histology did not have a significant impact on QoL. Psychosocial factors have a larger impact on global QoL than physical symptoms.

      Résumé

      Objectif

      Les traitements contre le cancer de l’ovaire et leurs résultats varient considérablement, il en résulte donc un groupe diversifié de survivantes. Nous ne disposons que de peu de données sur les questions liées à la qualité de vie (QdV) de ces patientes et sur leurs besoins les plus criants. Nous avions pour objectif de mener une étude pilote visant à déterminer les besoins des survivantes du cancer de l’ovaire en matière de QdV afin d’établir les priorités pour ce qui est des futures interventions.

      Méthodes

      Dans le cadre de cette étude transversale, les questionnaires sur la QdV de la European Organization for Research and Treatment of Cancer Quality of Life Questionnaires (EORTC QLQ-C30 et OV28) et un questionnaire formulé par les chercheurs ont été administrés au sein d’une clinique externe. Les paramètres cliniques ont été résumés et analysés en vue d’y déceler des associations avec les mesures de la QdV.

      Résultats

      Au total, 102 femmes ont consenti à participer à l’étude et ont rempli toutes les composantes requises. Leur âge moyen était de 58 ans (plage : de 29 à 85); 80% d’entre elles présentaient un carcinome épithélial de l’ovaire et 66% présentaient un carcinome séreux de haut grade histologique. Les femmes présentant des lésions de stade I (28 %), de stade II (15 %), de stade III (47 %) et de stade IV (10 %) étaient représentées dans les phases « traitement primaire » (25 %), « surveillance » (46 %), « récurrent » (23 %) et « palliatif » (7 %) du continuum de la survie. Cinquante et un pour cent des répondantes ont caractérisé le fardeau de la maladie comme étant « plutôt lourd » ou « très lourd » et cette façon de répondre ne variait pas en fonction de l’histologie ou du diagnostic. La QdV globale ne variait pas en fonction des paramètres clinico-pathologiques. Des comorbidités cardiovasculaires et respiratoires ont été associées aux scores EORTC en ce qui concerne le fonctionnement physique (P=0,027 pour ce qui est des comorbidités cardiovasculaires et P=0,041 pour ce qui est des comorbidités respiratoires), la QdV globale (P=0,03 pour ce qui est des comorbidités cardiovasculaires et P=0,039 pour ce qui est des comorbidités respiratoires) et la santé sexuelle (P=0,025 pour ce qui est des comorbidités cardiovasculaires). L’incapacité d’achever une tâche / les troubles de la mémoire et de la concentration, l’anxiété et la fatigue figuraient parmi les catégories de détresse auxquelles les participantes ont accordé la priorité absolue.

      Conclusion

      Chez les femmes qui présentent un cancer de l’ovaire, des facteurs cliniques tels que l’âge, le stade et l’histologie n’exerçaient pas un effet significatif sur la QdV. Les facteurs psychosociaux exercent un effet plus important sur la QdV globale que les symptômes physiques.

      Key Words

      ABBREVIATIONS

      C30
      Core Questionnaire
      EORTC
      European Organization for Research and Treatment of Cancer
      GI
      gastrointestinal
      OV
      Ovarian Cancer Module
      QLQ
      Quality of Life Questionnaire
      QoL
      quality of life

      INTRODUCTION

      In 2006, the Institute of Medicine released From Cancer Patient to Cancer Survivor: Lost in Transition.
      • Institute of Medicine and National Research Council
      This sentinel report called for dramatic changes in the way care is provided for cancer survivors. It emphasized that cancer care should extend beyond primary treatment to include long-term care that addresses physical, psychosocial, and emotional factors that influence survivors throughout their lifetime. From this call to action, research in survivorship has grown, but survivorship data in women with ovarian cancer are inconsistent and limited.
      • Hess L.M.
      • Stehman F.B.
      State of the science in ovarian cancer quality of life research: a systematic review.
      Ovarian cancer is a diverse disease, with a wide range of prognoses depending on factors such as the patient’s age, performance status, histological subtype, stage at presentation, residual disease left at the time of surgery, BRCA status, and treatment received.
      • Chan J.
      • Loizzi V.
      • Lin Y.
      • Osann K.
      • Brewster W.
      • DiSaia P.
      Stages III and IV invasive epithelial ovarian carcinoma in younger versus older women: what prognostic factors are important?.
      • Carey M.S.
      • Bacon M.
      • Tu D.
      • Butler L.
      • Bezjak A.
      • Stuart G.
      The prognostic effects of performance status and quality of life scores on progression- free survival and overall survival in advanced ovarian cancer.
      • Winter 3rd, W.E.
      • Maxwell G.L.
      • Tian C.
      • Carlson J.
      • Ozols R.
      • Rose P.
      • et al.
      Prognostic factors for stage III epithelial ovarian cancer: a Gynecologic Oncology Group Study.
      • Köbel M.
      • Kalloger S.E.
      • Boyd N.
      • McKinney S.
      • Mehl E.
      • Palmer C.
      • et al.
      Ovarian carcinoma subtypes are different diseases: implications for biomarker studies.
      • Köbel M.
      • Kalloger S.
      • Santos J.
      • Huntsman D.
      • Gilks C.B.
      • Swenerton K.D.
      Tumor type and substage predict survival in stage I and II ovarian carcinoma: insights and implications.
      • Du Bois A.
      • Reuss A.
      • Pujade-Lauraine E.
      • Harter P.
      • Ray-Coquard I.
      • Pfisterer J.
      Role of surgical outcome as prognostic factor in advanced epithelial ovarian cancer: a combined exploratory analysis of 3 prospectively randomized phase 3 multicenter trials: by the Arbeitsgemeinschaft Gynaekologische Onkologie Studiengruppe Ovarialkarzin.
      • Chi D.S.
      • Eisenhauer E.L.
      • Zivanovic O.
      • Sonoda Y.
      • Abu-Rustum N.R.
      • Levine D.A.
      • et al.
      Improved progression-free and overall survival in advanced ovarian cancer as a result of a change in surgical paradigm.
      • Vergote I.
      • Tropé C.G.
      • Amant F.
      • Kristensen G.B.
      • Ehlen T.
      • Johnson N.
      • et al.
      Neoadjuvant chemotherapy or primary surgery in stage IIIC or IV ovarian cancer.
      • Tan D.S.
      • Rothermundt C.
      • Thomas K.
      • Bancroft E.
      • Eeles R.
      • Shanley S.
      • et al.
      “BRCAness” syndrome in ovarian cancer: a case-control study describing the clinical features and outcome of patients with epithelial ovarian cancer associated with BRCA1 and BRCA2 mutations.
      • Cass I.
      • Baldwin R.L.
      • Varkey T.
      • Moslehi R.
      • Narod S.A.
      • Karlan B.Y.
      Improved survival in women with BRCA-associated ovarian carcinoma.
      • Armstrong D.K.
      • Bundy B.
      • Wenzel L.
      • Huang H.Q.
      • Baergen R.
      • Lele S.
      • et al.
      Intraperitoneal cisplatin and paclitaxel in ovarian cancer.
      Because of these variables, a patient may be told she has anywhere from a 10% to a greater than 95% five-year survival rate,
      • Vergote I.
      • Tropé C.G.
      • Amant F.
      • Kristensen G.B.
      • Ehlen T.
      • Johnson N.
      • et al.
      Neoadjuvant chemotherapy or primary surgery in stage IIIC or IV ovarian cancer.
      • Armstrong D.K.
      • Bundy B.
      • Wenzel L.
      • Huang H.Q.
      • Baergen R.
      • Lele S.
      • et al.
      Intraperitoneal cisplatin and paclitaxel in ovarian cancer.
      • Brown P.
      • Palmer C.
      The preclinical natural history of serous ovarian cancer: defining the target for early detection.
      making the available survivorship data difficult to generalize. Even in patients with advanced high-grade serous cancer (in which recurrence is the norm), chemotherapy response rates are favourable; multiple treatment regimens can be administered over a patient’s lifetime, achieving a relatively long-term survival. In addition, the traditional view of epithelial ovarian cancer as a single disease is slowly evolving to a view that encompasses a group of diseases (high-grade serous, low-grade serous, endometroid, clear cell, and mucinous carcinoma), all which have different epidemiology, genetic risk factors, molecular events, premalignant lesions, patterns of spread, response to chemotherapy, and prognosis.
      • Prat J.
      Ovarian carcinomas: five distinct diseases with different origins, genetic alterations, and clinicopathological features.
      • Rescigno P.
      • Cerillo I.
      • Ruocco R.
      • Condello C.
      • De Placido S.
      • Pensabene M.
      New hypothesis on pathogenesis of ovarian cancer lead to future tailored approaches.
      With this diversity, it is unknown whether survivorship issues are generalizable for all ovarian cancer survivors.
      In addition, many patients with cancer have at least one medical comorbidity and the interplay of other chronic diseases and cancer can be complex,
      • Hewitt M.
      • Rowland J.
      • Yancik R.
      Cancer survivors in the United States: age, health, and disability.
      • Sweeney C.
      • Schmitz K.
      • Lazovich D.
      • Virnig B.
      • Wallace R.
      • Folsom A.
      Functional limitations in elderly female cancer survivors.
      • Rowland J.
      • Hewitt M.
      • Ganz P.
      Cancer survivorship: a new challenge in delivering quality cancer care.
      affecting treatment (e.g., choice of drug, dose), side effects, quality of life, and the course of the cancer itself.
      • Sperling C.
      • Noer M.C.
      • Christensen I.J.
      • Nielsen M.L.S.
      • Lidegaard Ø.
      • Høgdall C.
      Comorbidity is an independent prognostic factor for the survival of ovarian cancer: a Danish register-based cohort study from a clinical database.
      In order to interpret QoL data for an individual we must determine what is due to the cancer, what is due to treatment, and what are sequelae from a pre-existing condition, and how or if these factors interact.
      Prior QoL investigations in survivors of ovarian cancer have often focused on only one time period (e.g., primary treatment) or only one aspect (e.g., neuropathy). An approach that captures the range of needs among survivors in all stages of the ovarian cancer survival continuum is needed.
      • McAlpine J.N.
      • Wenzel L.B.
      Survivorship as an element of clinical trials in ovarian cancer.
      Given the diversity of this disease, we cannot extrapolate findings from studies of survivors of prostate or breast cancer, of which there is a relative abundance.
      • Rowland J.
      • Hewitt M.
      • Ganz P.
      Cancer survivorship: a new challenge in delivering quality cancer care.
      • Auchincloss S.S.
      After treatment. Psychosocial issues in gynecologic cancer survivorship.
      Although there is overlap between all cancer survivors, ovarian cancer survivors have a disease-specific range of survivorship concerns (such as bowel obstruction or peripheral neuropathy) that warrant investigation.
      • Sun C.C.
      • Ramirez P.T.
      • Bodurka D.C.
      Quality of life for patients with epithelial ovarian cancer.
      It is well established that support and appropriate interventions not only improve the perspectives of patients and their families but may also affect an individual’s overall survival.
      • Von Gruenigen V.E.
      • Huang H.Q.
      • Gil K.M.
      • Frasure H.E.
      • Armstrong D.K.
      • Wenzel L.B.
      The association between quality of life domains and overall survival in ovarian cancer patients during adjuvant chemotherapy: a Gynecologic Oncology Group Study.
      • Carey M.S.
      • Gotay C.
      Patient-reported outcomes: clinical trials in ovarian cancer.
      • Quinten C.
      • Coens C.
      • Mauer M.
      • Comte S.
      • Sprangers M.
      • Cleeland C.
      • et al.
      Baseline quality of life as a prognostic indicator of survival: a meta-analysis of individual patient data from EORTC clinical trials.
      • Gupta D.
      • Braun D.P.
      • Staren E.D.
      • Markman M.
      Longitudinal health-related quality of life assessment: implications for prognosis in ovarian cancer.
      The primary objective of our pilot study was to obtain baseline QoL data for ovarian cancer survivors at our regional cancer centre to guide support services for these patients, to reallocate resources to address patient need, and to enable the measurement of QoL improvements or degradation for future interventional trials by establishing a baseline status. Given the diverse nature of ovarian cancer, we hypothesized that survivorship needs would vary by histologic subtype, age, stage, stage in treatment, and underlying comorbidities.
      • Von Gruenigen V.E.
      • Huang H.Q.
      • Gil K.M.
      • Gibbons H.E.
      • Monk B.J.
      • Rose P.G.
      • et al.
      Assessment of factors that contribute to decreased quality of life in Gynecologic Oncology Group Ovarian Cancer Trials.

      MATERIALS AND METHODS

      We invited all women with a diagnosis of ovarian cancer attending the outpatient gynaecologic oncology follow-up clinic in our cancer centre to participate in our study. This site serves as the main referral centre for our province and neighbouring territory, with centralized surgical care yielding a large regional variation in population. Recruitment began in January 2012 and was completed in May 2012. The inclusion criteria were:
      • 1.
        having the ability to read and write English,
      • 2.
        having the ability to fully understand the study procedures and give informed consent,
      • 3.
        being over the age of 18, and
      • 4.
        having had a diagnosis of ovarian cancer of any stage (including borderline tumours) and having undergone treatment with surgery, chemotherapy, or radiation.
      Our sample size was based on internal data from our centre to ensure that we obtained a full range of ages, prognoses, and diagnoses among participants. There are approximately 315 new cases of ovarian cancer diagnosed each year in British Columbia

      Statistics by Cancer Type. British Columbia Cancer Agency. Available at: http://www.bccancer.bc.ca/HPI/CancerStatistics/FF/CaType/default.htm. Accessed December 27, 2013.

      ; of these, 85% are epithelial ovarian cancer, 5% to 7% germ cell, and 5% to 10% sex-cord stromal. Of the cases of epithelial ovarian cancer, 70% are high-grade serous, 10% each clear cell and endometrioid, 4% mucinous, 6% low-grade serous, and 4% other.
      • Köbel M.
      • Kalloger S.E.
      • Huntsman D.G.
      • Santos J.L.
      • Swenerton K.D.
      • Seidman J.D.
      • et al.
      Differences in tumor type in low-stage versus high- stage ovarian carcinomas.
      • Gilks C.B.
      • Ionescu D.N.
      • Kalloger S.E.
      • Köbel M.
      • Irving J.
      • Clarke B.
      • et al.
      Tumor cell type can be reproducibly diagnosed and is of independent prognostic significance in patients with maximally debulked ovarian carcinoma.
      Using regional statistics, we concluded that a sample size of 100 participants would encompass women across a wide age range and with variable prognoses. A total of 196 patients were approached, with 53% uptake, leading to a study cohort of 102 patients. All participants provided written informed consent.
      For evaluation, we used the European Organization for Research and Treatment of Cancer Quality of Life Questionnaires (EORTC QLQ-C30 and OV28).
      • Aaronson N.K.
      • Ahmedzai S.
      • Bergman B.
      • Bullinger M.
      • Cull A.
      • Duez N.J.
      • et al.
      The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology.
      • Cull A.
      • Howat S.
      • Greimel E.
      • Waldenstrom A.
      • Arraras J.
      • Kudelka A.
      • et al.
      Development of a European Organization for Research and Treatment of Cancer questionnaire module to assess the quality of life of ovarian cancer patients in clinical trials: a progress report.
      Both are validated and standardized questionnaires that have been widely used in assessing QoL in women with ovarian cancer.
      • Hess L.M.
      • Stehman F.B.
      State of the science in ovarian cancer quality of life research: a systematic review.
      • Cull A.
      • Howat S.
      • Greimel E.
      • Waldenstrom A.
      • Arraras J.
      • Kudelka A.
      • et al.
      Development of a European Organization for Research and Treatment of Cancer questionnaire module to assess the quality of life of ovarian cancer patients in clinical trials: a progress report.
      • Fayers P.
      • Aaronson N.
      • Bjordal K.
      • Groenvold M.
      • Curran D.
      EORTC QLQ- C30 scoring manual.
      • Greimel E.
      • Bottomley A.
      • Cull A.
      • Waldenstrom A.
      • Arraras J.
      • Chauvenet L.
      • et al.
      An international field study of the reliability and validity of a disease-specific questionnaire module (the QLQ-OV28) in assessing the quality of life of patients with ovarian cancer.
      We also administered an investigator-derived questionnaire that assessed access to technology and resources and attempted to address survivorship needs versus symptoms (online eAppendix). Both paper and online versions of the questionnaires were made available. The EORTC QLQ-C30 and OV28 online version was developed through collaboration with the EORTC
      • Aaronson N.K.
      • Ahmedzai S.
      • Bergman B.
      • Bullinger M.
      • Cull A.
      • Duez N.J.
      • et al.
      The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology.
      • Cull A.
      • Howat S.
      • Greimel E.
      • Waldenstrom A.
      • Arraras J.
      • Kudelka A.
      • et al.
      Development of a European Organization for Research and Treatment of Cancer questionnaire module to assess the quality of life of ovarian cancer patients in clinical trials: a progress report.
      and the Computer-based Health Evaluation Software from Innsbruck Medical University.
      • Holzner B.
      • Giesinger J.M.
      • Pinggera J.
      • Zugal S.
      • Schöpf F.
      • Oberguggenberger A.S.
      • et al.
      The Computer-based Health Evaluation Software (CHES): a software for electronic patient-reported outcome monitoring.
      The online version of the investigator-derived questionnaire was administered through the Zoomerang survey program.
      • Zoomerang Survey Program
      Palo Alto.
      Participants were offered the opportunity to complete the QoL surveys before or immediately after their clinical visits. Questionnaires were completed in written format, in computer tablet or desktop electronic format, or in verbal format with research staff. Survey data from all patients were ultimately entered electronically (via the Computer-based Health Evaluation Software and Zoomerang Programs
      • Holzner B.
      • Giesinger J.M.
      • Pinggera J.
      • Zugal S.
      • Schöpf F.
      • Oberguggenberger A.S.
      • et al.
      The Computer-based Health Evaluation Software (CHES): a software for electronic patient-reported outcome monitoring.
      • Zoomerang Survey Program
      Palo Alto.
      ) to aid in analysis. Objective clinical and treatment data were abstracted from patient charts and entered into a Microsoft Excel database (Microsoft Corp., Redmond WA) after the questionnaires were completed. Clinical data recorded included clinical tumour stage; histology; recurrence; treatment regimens; comorbidities including pre-existing psychiatric diagnoses such as depression or anxiety disorder; medications; hereditary testing; and performance status.
      The EORTC QLQ-C30 and OV-28 scales were linearly transformed to a continuous scale (0 to 100) according to the scoring EORTC scoring procedures.
      • Fayers P.
      • Aaronson N.
      • Bjordal K.
      • Groenvold M.
      • Curran D.
      EORTC QLQ- C30 scoring manual.
      Higher scores on the functioning scales and the global QoL/health status scales indicated a higher level of functioning, and higher scores on the symptom scales were associated with increased severity of symptoms. The median statistic was chosen as the primary reporting measure of the QoL data because a significant proportion of the data had a skewed distribution; we felt therefore that the median would serve as a more robust measure of central tendency and would be less influenced by outliers. Descriptive statistics were used to quantify the QoL parameters in the EORTC questionnaires and the investigator-derived questionnaire. One-way analysis of variance was conducted to determine the impact of clinical parameters on QoL. All data were analyzed using JMP v10.0 (SAS Institute, Cary, NC). As this was a pilot study, no corrections were made for multiple comparisons, and consequently P values<0.05 were considered statistically significant.
      Ethics approval for the study was provided by the British Columbia Cancer Agency Research Ethics Board.

      RESULTS

      The characteristics of participants are shown in Table 1. The mean age of our population was 58 years, with 80% of patients having epithelial ovarian tumours and 66% of those having high-grade serous histology. Fifty-four percent of participants were undergoing active treatment, and 46% were undergoing surveillance. The median time since diagnosis was 20 months. Ninety-five percent of participants had obtained a high school diploma or higher, and 96% had access to a computer a home. The majority of participants (86%) underwent primary surgical treatment, 74% received platinum/taxane chemotherapy for a median of six cycles. Radiation treatment was involved in the primary adjuvant treatment of 10% of participants. Comorbidities, abstracted from medical charts, were as follows: 38% of participants had cardiovascular disease, 8% had diabetes, 9% had a history of deep vein thrombosis or venous thromboembolism, and 14% had a diagnosis of mental illness.
      Table 1Patient characteristics
      Characteristic N=102Participants, n (%)
      Age, years, mean (range)58 (29 to 85)
      Ovarian tumour histology
       Epithelial ovarian82 (80)
       Sex cord stromal5 (5)
       Borderline15 (15)
      Stage in treatment
       Primary treatment25 (25)
       Surveillance after primary37 (36)
       Recurrence23(23)
       Surveillance post-recurrence10 (10)
       Palliative7 (7)
      Stage
       I29 (28)
       II15 (15)
       III48 (47)
       IV10 (10)
      Time since cancer diagnosis, months (n=98)
       Mean46
       Standard deviation141
       Median20
      Epithelial ovarian cancer histology (n=82)
       High-grade serous54 (66)
       Low-grade serous3 (4)
       Endometroid10 (12)
       Clear cell9 (11)
       Mucinous5 (6)
       Transitional cell1 (1)
      Cancer treatment
       Primary surgery86 (89)
       Delayed primary surgery8 (8)
       Chemotherapy72 (74)
       Radiation10 (10)
      Comorbidities
       Diabetes8 (8)
       Mental illness14 (14)
       History of VTE/PE9 (9)
       Cardiovascular37 (38)
       Respiratory11 (11)
       Renal6 (6)
      Current medications
       Pain23 (23)
       Sleep aid26 (27)
       Anti-emetics27 (28)
      VTE/PE: Venous thromboembolism/pulmonary embolism
      Overall, the global QoL reported by participants was a median of 66.6 with an interquartile range of 56.3 to 83.3 (Table 2). This was lower than the scores in the functional scales for the QLQ-C30. Of the QLQ-C30 functioning components, the cognitive metric had the largest degradation, with a median score of 75; this contrasted with the physical metric, which had a median score of 86.7. Of the QLQ-C30 symptomatic components, insomnia, pain, and fatigue were the major QoL detriments, with median scores of 33.3, 16.7, and 33.3, respectively. Symptom scales on the OV-28 instrument indicated higher median scores for body image (75), attitude to disease and treatment (55.6), chemotherapy side effects (22.2), and peripheral neuropathy (22.2).
      Table 2Univariate analysis of clinico-pathologic parameters and quality of life
      EORTC QLQ-C30/OV-28—Unadjusted scores
      Scores range from 0 to 100.
      Univariate ANOVA
      QOL MeasuresNMedian score (IQR)(Only significant P values shown)Comorbidities
      AgeStageHistology
      Histology—epithelial ovarian cancer only (includes: clear cell, endometroid, mucinous, high-grade and low-grade serous).
      Stage in TreatmentCVRespiratoryGIRenalOther
      QLQ-C30
      Global QoL, n=949466.6 (56.3 to 83.3)0.0400.0310.040
      Functional scales
      Higher values indicate improved functioning.
      0.0280.041
       Physical functioning9686.7 (73.3 to 93.3)0.050
       Role functioning9783.3 (50 to 100)
       Emotional functioning9483.3 (66.7 to 100)0.023
       Cognitive functioning9475 (58.3 to 91.7)
       Social functioning9483.3 (66.7 to 100)
      Symptom scales
      Higher values indicate worsening symptoms.
       Fatigue9733.3 (22.2 to 47.2)0.026
       Nausea and vomiting970 (0 to 16.7)0.018
       Pain9616.7(0 to 33.3)0.007
       Dyspnea970 (0 to 33.3)0.0010.0120.011
       Insomnia9733.3(0 to 66.7)
       Appetite loss970 (0 to 33.3)
       Constipation960 (0 to 33.3)0.0200.014
       Diarrhea940 (0 to 0)
       Financial difficulties940 (0 to 33.3)
      QLQ-OV28
       Symptom scales
      Higher values indicate worsening symptoms.
       Abdominal/GI9619.0 (9.5 to 33.3)0.016
       Peripheral neuropathy9622.2 (2.8 to 41.7)0.024
       Hormonal9616.7(0 to 66.7)
       Body image9475 (50 to 100)
       Attitude to disease/treatment9455.6 (33.3 to 66.7)
       Chemotherapy side effects9622.2(11.1 to 33.3)0.0420.024
       Sexual function
      Higher values indicate improved function. Scaling performance has not been established.
      930 (0 to 25)0.025
      IQR: interquartile range; CV: cardiovascular.
      * Scores range from 0 to 100.
      Histology—epithelial ovarian cancer only (includes: clear cell, endometroid, mucinous, high-grade and low-grade serous).
      Higher values indicate improved functioning.
      § Higher values indicate worsening symptoms.
      Higher values indicate improved function. Scaling performance has not been established.
      We asked participants to rank their level of distress (none, some, moderate, significant, or extreme) for a variety of survivorship issues (online eAppendix). Responses were dichotomized to “no distress” or “any distress” to quantify the population at risk for QoL degradation. Participants reported anxiety (76%), fatigue (71%), and task completion/ memory (72%) as the most distressing issues (Figure). When asked to prioritize the issues in order of importance to be addressed by care providers, the participants listed task completion/memory, anxiety, and fatigue.
      Univariate analysis was conducted comparing the symptom and functioning scales with clinical factors such as age, stage, histology, and stage in treatment and with comorbidities including cardiovascular, respiratory, gastrointestinal, renal, and other. Predictably, older participants were more affected by chemotherapy (P=0.042) and had greater peripheral neuropathy (P=0.024). Emotional functioning was associated with disease stage (P=0.023); those with stage II ovarian cancer had better emotional functioning than those with stage III disease. Fatigue was also associated with disease stage (P=0.026); women with stage II disease had less fatigue than those with stage III.
      Global QoL was affected by stage in treatment; those undergoing active treatment had a lower QoL (P=0.040). In addition, undergoing active treatment was associated with more severe scores for nausea and vomiting (P=0.018), constipation (P=0.020), abdominal/GI discomfort (P=0.016), and chemotherapy side effects (P=0.024). Additionally, those with cardiovascular and respiratory comorbidities had a decreased global QoL (P=0.031 and 0.040, respectively).
      We also asked participants about their preferred method of sharing their QoL experiences. Eighty-two percent preferred to participate using written questionnaires, compared with 8% favouring in-person interviews and 10% favouring electronic methods or tablet computer. Ninety-five percent of participants had computer access at home, and 70% described using a computer daily.

      DISCUSSION

      The demographic measures and baseline QoL scores from this pilot study are in keeping with QoL reports from other assessments in a mixed ovarian cancer population.
      • Gupta D.
      • Braun D.P.
      • Staren E.D.
      • Markman M.
      Longitudinal health-related quality of life assessment: implications for prognosis in ovarian cancer.
      • Greimel E.
      • Daghofer F.
      • Petru E.
      Prospective assessment of quality of life in long-term ovarian cancer survivors.
      • Stavraka C.
      • Ford A.
      • Ghaem-Maghami S.
      • Crook T.
      • Agarwal R.
      • Gabra H.
      • et al.
      A study of symptoms described by ovarian cancer survivors.
      • Meraner V.
      • Gamper E.-M.
      • Grahmann A.
      • Giesinger J.M.
      • Wiesbauer P.
      • Sztankay M.
      • et al.
      Monitoring physical and psychosocial symptom trajectories in ovarian cancer patients receiving chemotherapy.
      • Mirabeau-Beale K.L.
      • Kornblith A.B.
      • Penson R.T.
      • Lee H.
      • Goodman A.
      • Campos S.M.
      • et al.
      Comparison of the quality of life of early and advanced stage ovarian cancer survivors.
      Figure thumbnail fx1
      Symptom distress scales among ovarian cancer survivors
      However, comparisons between studies are fraught with difficulty because of overall small sample sizes,
      • Greimel E.
      • Daghofer F.
      • Petru E.
      Prospective assessment of quality of life in long-term ovarian cancer survivors.
      • Meraner V.
      • Gamper E.-M.
      • Grahmann A.
      • Giesinger J.M.
      • Wiesbauer P.
      • Sztankay M.
      • et al.
      Monitoring physical and psychosocial symptom trajectories in ovarian cancer patients receiving chemotherapy.
      treatment-specific or stage-specific studies,
      • Mirabeau-Beale K.L.
      • Kornblith A.B.
      • Penson R.T.
      • Lee H.
      • Goodman A.
      • Campos S.M.
      • et al.
      Comparison of the quality of life of early and advanced stage ovarian cancer survivors.
      • Lakusta C.M.
      • Atkinson M.J.
      • Robinson J.W.
      • Nation J.
      • Taenzer P.A.
      • Campo M.G.
      Quality of life in ovarian cancer patients receiving chemotherapy.
      and the use of other QoL instruments.
      • Wenzel L.
      • Huang H.Q.
      • Monk B.J.
      • Rose P.G.
      • Cella D.
      Quality-of-life comparisons in a randomized trial of interval secondary cytoreduction in advanced ovarian carcinoma: a Gynecologic Oncology Group study.
      • Le T.
      • Hopkins L.
      Fung Kee Fung M. Quality of life assessments in epithelial ovarian cancer patients during and after chemotherapy.
      The usefulness of these pilot data is in the provision of overall trends in a mixed population and the identification of priority issues in survivorship. In particular, the OV28 parameters of body image and attitude to disease and treatment had median scores of 75 and 55.6, respectively; this is a significant area of concern when other physical symptoms such as peripheral neuropathy and chemotherapy side effects had lower scores of 22.2 (Table 2). Why this finding was so prominent is difficult to explain, because many factors contribute to body image and attitude; nevertheless, it does warrant further exploration.
      To better understand these differences in QoL, we undertook univariate analysis to examine factors known to be associated with improved survival in women with ovarian cancer (such as age, stage, histology, and comorbidities). We found that there was no major difference in QoL outcomes according to cancer stage and other traditional clinico–pathologic factors, a finding which is supported by the current survivorship literature.
      • Stavraka C.
      • Ford A.
      • Ghaem-Maghami S.
      • Crook T.
      • Agarwal R.
      • Gabra H.
      • et al.
      A study of symptoms described by ovarian cancer survivors.
      • Mirabeau-Beale K.L.
      • Kornblith A.B.
      • Penson R.T.
      • Lee H.
      • Goodman A.
      • Campos S.M.
      • et al.
      Comparison of the quality of life of early and advanced stage ovarian cancer survivors.
      A sub-analysis was also undertaken examining QoL parameters according to whether the participant had active disease or was undergoing surveillance; we found that symptom-related factors were significantly higher in the former, but overall global quality of life and functional scales were unchanged. On balance, ovarian cancer survivors report emotional symptoms, negative feelings about treatment/prognosis and body image, and fatigue as their main concerns. This suggests that psychosocial factors may have a greater effect on QoL than the physical sequelae of cancer.
      • Stavraka C.
      • Ford A.
      • Ghaem-Maghami S.
      • Crook T.
      • Agarwal R.
      • Gabra H.
      • et al.
      A study of symptoms described by ovarian cancer survivors.
      There are several limitations to our study. First, this was a pilot study with a relatively small number of participants. However, our patient numbers and overall findings were similar to those of studies in other centres, suggesting that there are similarities in survivorship issues across regions and cultures.
      • Hess L.M.
      • Stehman F.B.
      State of the science in ovarian cancer quality of life research: a systematic review.
      • Stavraka C.
      • Ford A.
      • Ghaem-Maghami S.
      • Crook T.
      • Agarwal R.
      • Gabra H.
      • et al.
      A study of symptoms described by ovarian cancer survivors.
      In addition, the aim of this pilot study was to identify general trends rather than to undertake definitive hypothesis-testing, and statistically significant associations should therefore be interpreted in this context. Secondly, we had a mixed population with varied histology and with different stages of treatment and remission. Our findings likely underestimate the true effects on quality of life with a uniform patient population (i.e., with aggressive or advanced stage disease). However, this mixed population is a true representation of the ovarian cancer population in our province’s largest cancer centre and will serve as a baseline for future population studies. Surprisingly, there were more similarities than differences across these diverse diagnoses, which make the study themes more striking. Other factors affecting survivorship that were not assessed in our study included patient involvement in decision-making; we also did not conduct a detailed exploration of psychiatric illness, which may also play an underlying role.
      • Andersen M.R.
      • Sweet E.
      • Lowe K.A.
      • Standish L.J.
      • Drescher C.W.
      • Goff B.A.
      Involvement in decision-making about treatment and ovarian cancer survivor quality of life.
      We are aware of the limitations of self-administered questionnaires developed by clinicians,
      • Burns K.E.A.
      • Duffett M.
      • Kho M.
      • Meade M.O.
      • Adhikari N.
      • Sinuff T.
      • et al.
      Review A guide for the design and conduct of self-administered surveys of clinicians.
      and we therefore kept the investigator-derived basic questionnaire separate from the statistical analyses of the EORTC questionnaires. The data obtained by this questionnaire would otherwise be irretrievable because the data it contains are not routinely collected at patient visits. In planning the next phases of support (i.e., consideration of survivorship care plans), many practical aspects must be understood in this population. In addition, there is continued discussion of the relative importance of “symptoms,” which are assessed by the physician, versus “needs” as reported by the patient (also known as patient reported outcomes) and as we begin to appreciate the importance of patient preference greater weight must be given to what patients identify as priorities.

      CONCLUSION

      Ovarian cancer survivors in British Columbia report that psychosocial factors, such as fatigue, anxiety, and cognitive function cause the greatest distress for them and are areas of priority for survivorship interventions. Further, we found that these issues of concern do not correlate with clinical predictors of improved treatment outcomes, such as age, tumour stage, grade, and histology. Underlying comorbidities, however, do affect overall quality of life and should be addressed in a patient’s follow-up plan. Our findings suggest that survivorship interventions may be delivered as one entity (inclusive of psychological, physical, and social parameters) and not focused specifically on a given clinical parameter (e.g., neuropathy alone). Because we have obtained baseline quality of life data in ovarian cancer survivors in British Columbia against which the success or failure of future directives can be measured, we will work to translate the knowledge gained from this initiative into effective interventions in the province.

      ACKNOWLEDGEMENTS

      The authors wish to thank the Canadian Foundation for Women’s Health—GSK Educational Grant Research Award for Obstetrics and Gynaecology Residents, Ovarian Cancer Canada, and the British Columbia Cancer Agency for financial support, and wish to thank Ovarian Cancer Canada, Pacific Regional Office for their financial and human resource support.
      Ovarian Cancer Canada (Volunteers): Tracy Kolwich, Elisabeth Ross, Barbara Yerman, Elaine Chan, Lisa Jocelyn Boretta, and Janice Mung-Yi Hu. OvCaRe (Research Coordinator): Karen Sill, RN. British Columbia Cancer Agency.
      Innsbruck Medical University, Department of Psychiatry and Psychotherapy (Consultation and Technical Survey Support): Bernard Holzner, Gerhard Rumpold, Felix Schöpf. University of British Columbia, School of Population & Public Health, Faculty of Medicine (Consultation): Arminee Kazanjian, DrSoc.

      REFERENCES

        • Institute of Medicine and National Research Council
        From cancer patient to cancer survivor: lost in transition. The National Academies Press, Washington (DC)2005 (Available at:) (Accessed April 25, 2013)
        • Hess L.M.
        • Stehman F.B.
        State of the science in ovarian cancer quality of life research: a systematic review.
        Int J Gynecol Cancer. 2012; 22: 1273-1280
        • Chan J.
        • Loizzi V.
        • Lin Y.
        • Osann K.
        • Brewster W.
        • DiSaia P.
        Stages III and IV invasive epithelial ovarian carcinoma in younger versus older women: what prognostic factors are important?.
        Obstet Gynecol. 2003; 102: 156-161
        • Carey M.S.
        • Bacon M.
        • Tu D.
        • Butler L.
        • Bezjak A.
        • Stuart G.
        The prognostic effects of performance status and quality of life scores on progression- free survival and overall survival in advanced ovarian cancer.
        Gynecol Oncol. 2008; 108: 100-105
        • Winter 3rd, W.E.
        • Maxwell G.L.
        • Tian C.
        • Carlson J.
        • Ozols R.
        • Rose P.
        • et al.
        Prognostic factors for stage III epithelial ovarian cancer: a Gynecologic Oncology Group Study.
        J Clin Oncol. 2007; 25: 3621-3627
        • Köbel M.
        • Kalloger S.E.
        • Boyd N.
        • McKinney S.
        • Mehl E.
        • Palmer C.
        • et al.
        Ovarian carcinoma subtypes are different diseases: implications for biomarker studies.
        PLoS Med. 2008; 5e232
        • Köbel M.
        • Kalloger S.
        • Santos J.
        • Huntsman D.
        • Gilks C.B.
        • Swenerton K.D.
        Tumor type and substage predict survival in stage I and II ovarian carcinoma: insights and implications.
        Gynecol Oncol. 2010; 116: 50-56
        • Du Bois A.
        • Reuss A.
        • Pujade-Lauraine E.
        • Harter P.
        • Ray-Coquard I.
        • Pfisterer J.
        Role of surgical outcome as prognostic factor in advanced epithelial ovarian cancer: a combined exploratory analysis of 3 prospectively randomized phase 3 multicenter trials: by the Arbeitsgemeinschaft Gynaekologische Onkologie Studiengruppe Ovarialkarzin.
        Cancer. 2009; 115: 1234-1244
        • Chi D.S.
        • Eisenhauer E.L.
        • Zivanovic O.
        • Sonoda Y.
        • Abu-Rustum N.R.
        • Levine D.A.
        • et al.
        Improved progression-free and overall survival in advanced ovarian cancer as a result of a change in surgical paradigm.
        Gynecol Oncol. 2009; 114: 26-31
        • Vergote I.
        • Tropé C.G.
        • Amant F.
        • Kristensen G.B.
        • Ehlen T.
        • Johnson N.
        • et al.
        Neoadjuvant chemotherapy or primary surgery in stage IIIC or IV ovarian cancer.
        N Engl J Med. 2010; 363: 943-953
        • Tan D.S.
        • Rothermundt C.
        • Thomas K.
        • Bancroft E.
        • Eeles R.
        • Shanley S.
        • et al.
        “BRCAness” syndrome in ovarian cancer: a case-control study describing the clinical features and outcome of patients with epithelial ovarian cancer associated with BRCA1 and BRCA2 mutations.
        J Clin Oncol. 2008; 26: 5530-5536
        • Cass I.
        • Baldwin R.L.
        • Varkey T.
        • Moslehi R.
        • Narod S.A.
        • Karlan B.Y.
        Improved survival in women with BRCA-associated ovarian carcinoma.
        Cancer. 2003; 97: 2187-2195
        • Armstrong D.K.
        • Bundy B.
        • Wenzel L.
        • Huang H.Q.
        • Baergen R.
        • Lele S.
        • et al.
        Intraperitoneal cisplatin and paclitaxel in ovarian cancer.
        N Engl J Med. 2006; 354: 34-43
        • Brown P.
        • Palmer C.
        The preclinical natural history of serous ovarian cancer: defining the target for early detection.
        PLoS Med. 2009; 6: e1000-e1114
        • Prat J.
        Ovarian carcinomas: five distinct diseases with different origins, genetic alterations, and clinicopathological features.
        Virchows Arch. 2012; 460: 237-249
        • Rescigno P.
        • Cerillo I.
        • Ruocco R.
        • Condello C.
        • De Placido S.
        • Pensabene M.
        New hypothesis on pathogenesis of ovarian cancer lead to future tailored approaches.
        Biomed Res Int. 2013; 2013: 852839
        • Hewitt M.
        • Rowland J.
        • Yancik R.
        Cancer survivors in the United States: age, health, and disability.
        J Gerontol A Biol Sci Med Sci. 2003; 58: 82-91
        • Sweeney C.
        • Schmitz K.
        • Lazovich D.
        • Virnig B.
        • Wallace R.
        • Folsom A.
        Functional limitations in elderly female cancer survivors.
        J Natl Cancer Inst. 2006; 98: 521-529
        • Rowland J.
        • Hewitt M.
        • Ganz P.
        Cancer survivorship: a new challenge in delivering quality cancer care.
        J Clin Oncol. 2006; 24: 5101-5104
        • Sperling C.
        • Noer M.C.
        • Christensen I.J.
        • Nielsen M.L.S.
        • Lidegaard Ø.
        • Høgdall C.
        Comorbidity is an independent prognostic factor for the survival of ovarian cancer: a Danish register-based cohort study from a clinical database.
        Gynecol Oncol. 2013; 129: 97-102
        • McAlpine J.N.
        • Wenzel L.B.
        Survivorship as an element of clinical trials in ovarian cancer.
        Int J Gynecol Cancer. 2011; 21: 788-792
        • Auchincloss S.S.
        After treatment. Psychosocial issues in gynecologic cancer survivorship.
        Cancer. 1995; 76: 2117-2124
        • Sun C.C.
        • Ramirez P.T.
        • Bodurka D.C.
        Quality of life for patients with epithelial ovarian cancer.
        Nat Clin Pract Oncol. 2007; 4: 18-29
        • Von Gruenigen V.E.
        • Huang H.Q.
        • Gil K.M.
        • Frasure H.E.
        • Armstrong D.K.
        • Wenzel L.B.
        The association between quality of life domains and overall survival in ovarian cancer patients during adjuvant chemotherapy: a Gynecologic Oncology Group Study.
        Gynecol Oncol. 2012; 124: 379-382
        • Carey M.S.
        • Gotay C.
        Patient-reported outcomes: clinical trials in ovarian cancer.
        Int J Gynecol Cancer. 2011; 21: 782-787
        • Quinten C.
        • Coens C.
        • Mauer M.
        • Comte S.
        • Sprangers M.
        • Cleeland C.
        • et al.
        Baseline quality of life as a prognostic indicator of survival: a meta-analysis of individual patient data from EORTC clinical trials.
        Lancet Oncol. 2009; 10: 865-871
        • Gupta D.
        • Braun D.P.
        • Staren E.D.
        • Markman M.
        Longitudinal health-related quality of life assessment: implications for prognosis in ovarian cancer.
        J Ovarian Res. 2013; 6: 17
        • Von Gruenigen V.E.
        • Huang H.Q.
        • Gil K.M.
        • Gibbons H.E.
        • Monk B.J.
        • Rose P.G.
        • et al.
        Assessment of factors that contribute to decreased quality of life in Gynecologic Oncology Group Ovarian Cancer Trials.
        Cancer. 2009; 115: 4857-4864
      1. Statistics by Cancer Type. British Columbia Cancer Agency. Available at: http://www.bccancer.bc.ca/HPI/CancerStatistics/FF/CaType/default.htm. Accessed December 27, 2013.

        • Köbel M.
        • Kalloger S.E.
        • Huntsman D.G.
        • Santos J.L.
        • Swenerton K.D.
        • Seidman J.D.
        • et al.
        Differences in tumor type in low-stage versus high- stage ovarian carcinomas.
        Int J Gynecol Pathol. 2010; 29: 203-211
        • Gilks C.B.
        • Ionescu D.N.
        • Kalloger S.E.
        • Köbel M.
        • Irving J.
        • Clarke B.
        • et al.
        Tumor cell type can be reproducibly diagnosed and is of independent prognostic significance in patients with maximally debulked ovarian carcinoma.
        Hum Pathol. 2008; 39: 1239-1251
        • Aaronson N.K.
        • Ahmedzai S.
        • Bergman B.
        • Bullinger M.
        • Cull A.
        • Duez N.J.
        • et al.
        The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology.
        J Natl Cancer Inst. 1993; 85: 365-376
        • Cull A.
        • Howat S.
        • Greimel E.
        • Waldenstrom A.
        • Arraras J.
        • Kudelka A.
        • et al.
        Development of a European Organization for Research and Treatment of Cancer questionnaire module to assess the quality of life of ovarian cancer patients in clinical trials: a progress report.
        Eur J Cancer. 2001; 37: 47-53
        • Fayers P.
        • Aaronson N.
        • Bjordal K.
        • Groenvold M.
        • Curran D.
        EORTC QLQ- C30 scoring manual.
        3rd ed. EORTC publications, Brussels2001
        • Greimel E.
        • Bottomley A.
        • Cull A.
        • Waldenstrom A.
        • Arraras J.
        • Chauvenet L.
        • et al.
        An international field study of the reliability and validity of a disease-specific questionnaire module (the QLQ-OV28) in assessing the quality of life of patients with ovarian cancer.
        Eur J Cancer. 2003; 39: 1402-1408
        • Holzner B.
        • Giesinger J.M.
        • Pinggera J.
        • Zugal S.
        • Schöpf F.
        • Oberguggenberger A.S.
        • et al.
        The Computer-based Health Evaluation Software (CHES): a software for electronic patient-reported outcome monitoring.
        BMC Med Inform Decis Mak. 2012; 12: 126
        • Zoomerang Survey Program
        Palo Alto.
        SurveyMonkey, California1999 (Available at:) (Accessed October 20, 2011)
        • Greimel E.
        • Daghofer F.
        • Petru E.
        Prospective assessment of quality of life in long-term ovarian cancer survivors.
        Int J Cancer. 2011; 128: 3005-3011
        • Stavraka C.
        • Ford A.
        • Ghaem-Maghami S.
        • Crook T.
        • Agarwal R.
        • Gabra H.
        • et al.
        A study of symptoms described by ovarian cancer survivors.
        Gynecol Oncol. 2012; 125: 59-64
        • Meraner V.
        • Gamper E.-M.
        • Grahmann A.
        • Giesinger J.M.
        • Wiesbauer P.
        • Sztankay M.
        • et al.
        Monitoring physical and psychosocial symptom trajectories in ovarian cancer patients receiving chemotherapy.
        BMC Cancer. 2012; 12: 77
        • Mirabeau-Beale K.L.
        • Kornblith A.B.
        • Penson R.T.
        • Lee H.
        • Goodman A.
        • Campos S.M.
        • et al.
        Comparison of the quality of life of early and advanced stage ovarian cancer survivors.
        Gynecol Oncol. 2009; 114: 353-359
        • Lakusta C.M.
        • Atkinson M.J.
        • Robinson J.W.
        • Nation J.
        • Taenzer P.A.
        • Campo M.G.
        Quality of life in ovarian cancer patients receiving chemotherapy.
        Gynecol Oncol. 2001; 81: 490-495
        • Wenzel L.
        • Huang H.Q.
        • Monk B.J.
        • Rose P.G.
        • Cella D.
        Quality-of-life comparisons in a randomized trial of interval secondary cytoreduction in advanced ovarian carcinoma: a Gynecologic Oncology Group study.
        J Clin Oncol. 2005; 23: 5605-5612
        • Le T.
        • Hopkins L.
        Fung Kee Fung M. Quality of life assessments in epithelial ovarian cancer patients during and after chemotherapy.
        Int J Gynecol Cancer. 2005; 15: 811-816
        • Andersen M.R.
        • Sweet E.
        • Lowe K.A.
        • Standish L.J.
        • Drescher C.W.
        • Goff B.A.
        Involvement in decision-making about treatment and ovarian cancer survivor quality of life.
        Gynecol Oncol. 2012; 124: 465-470
        • Burns K.E.A.
        • Duffett M.
        • Kho M.
        • Meade M.O.
        • Adhikari N.
        • Sinuff T.
        • et al.
        Review A guide for the design and conduct of self-administered surveys of clinicians.
        CMAJ. 2008; 179: 245-252