Publications (17)106.12 Total impact
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Article: Do Patient-Reported Symptoms Predict Emergency Department Visits in Cancer Patients? A Population-Based Analysis.
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ABSTRACT: STUDY OBJECTIVE: Since 2007 in Ontario, Canada, the Edmonton Symptom Assessment System has been routinely used for cancer outpatients. The purpose of this study is to determine the relationship between individual patient symptoms and symptom severity, with the likelihood of an emergency department (ED) visit. METHODS: The cohort included all cancer patients in Ontario who completed an Edmonton Symptom Assessment System between January 2007 and March 2009. Using multiple linked provincial health databases, we examined the adjusted association between symptom scores and the likelihood of an ED visit within 7 days of assessment. RESULTS: The cohort included 45,118 patients whose first assessment contributed to the study, of whom 3.8% made a subsequent ED visit. A severe well-being score was associated with the highest odds of a subsequent ED visit (adjusted odds ratio [OR] 1.9; 95% confidence interval 1.5 to 2.4). Nausea, drowsiness, and shortness of breath with moderate or severe scores were associated with ED visits (adjusted OR 1.2 to 1.5), whereas pain, tiredness, poor appetite, and well-being had a significant association for mild scores (adjusted OR 1.2, 1.3, 1.2, and 1.3, respectively), moderate scores (adjusted OR 1.3, 1.5, 1.5, and 1.7, respectively), and severe scores (adjusted OR 1.4, 1.7, 1.7, and 1.9, respectively). Anxiety and depression were not associated with ED visits. CONCLUSION: Worsening symptoms contribute to emergency visits in cancer patients. Specific symptoms such as pain are obvious management targets, but constitutional symptoms were associated with even higher odds of ED usage and therefore warrant detailed assessment to optimize both patient outcomes and resource use.Annals of emergency medicine 01/2013; · 4.23 Impact Factor -
Article: The Association of the Palliative Performance Scale and Hazard of Death in an Ambulatory Cancer Population.
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ABSTRACT: Abstract Background: Previous studies have reported survival estimates in palliative populations using the Palliative Performance Scale (PPS) (where 100=best status, 0=death). However, little research has examined the association of the PPS with hazard of death in ambulatory populations. Objective: We examined the association between performance status and the instantaneous hazard of death in ambulatory cancer patients, using longitudinal PPS scores. Methods: This retrospective, population-based cohort study included cancer outpatients who had at least one PPS assessment completed between 2007 and 2009. PPS scores were recorded opportunistically by health care providers at clinic or home care visits. We used a Cox proportional hazards model to determine the relative hazard of death based on repeated measures of PPS score, while controlling for other covariates. Results: Among 11,342 qualifying cancer patients, there were 54,207 PPS assessments. The distribution of PPS scores at first assessment were 23%, 56%, 20%, and 1% for PPS scores of 100, 90-70, 60-40, and ≤30, respectively. A quarter of the cohort died within 6 months of the first assessment. The relative hazard of death increases by a factor of 1.69 (95% confidence interval [CI]: 1.72-1.67) for each 10-point decrease in PPS score. Thus the hazard of death increases by 8.2 (1.69(4)) times for a person with PPS score of 30 compared with a person with a score of 70. Conclusion: The PPS was significantly associated with hazard of death in ambulatory cancer patients; the relative hazard of death increased based on lowered PPS scores. Providers should consider broadening its use to include patients throughout their disease trajectory.Journal of palliative medicine 12/2012; · 1.84 Impact Factor -
Article: Modeling the Longitudinal Transitions of Performance Status in Cancer Outpatients: Time to Discuss Palliative Care.
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ABSTRACT: CONTEXT: Understanding the longitudinal transitions of performance status among persons with cancer can assist providers in determining the appropriate time to initiate palliative care support. OBJECTIVES: To model longitudinal transitions of the performance status in cancer outpatients, to determine the probabilities of improvement and deterioration in performance status over time, and to evaluate the factors associated with rates of transitions. METHODS: This population-based, retrospective, cohort study comprised adult outpatients diagnosed with any type of cancer and assessed for performance status throughout their observation period using the Palliative Performance Scale (PPS; scale 0-100; 0 indicates death). At every PPS assessment, patients were assigned to one of four states: stable state (PPS score 70-100), transitional state (PPS score 40-60), end-of-life state (PPS score 10-30), or dead. A Markov multistate model under the presence of interval censoring was used to examine the rate of state-to-state transitions. RESULTS: There were 11,374 patients representing nearly 71,000 assessments. Patients with lung cancer in the transitional state had a 27.7% chance of being dead at the end of one month vs. 17.5% in patients with breast cancer. The average time spent in the transitional state was 6.6 weeks for patients diagnosed with gastrointestinal cancer vs. 8.8 weeks for patients with breast cancer. The rate at which one moves from the transitional state to death was higher for patients with lung cancer than those with breast cancer. CONCLUSION: We estimated the probability and direction of change in performance status in cancer outpatients. Entry into the transitional state may serve as an indicator for referral for palliative care support. Mean end-of-life sojourn times are too short to allow meaningful integration of palliative care.Journal of pain and symptom management 08/2012; · 2.42 Impact Factor -
Article: Symptom clusters in a population-based ambulatory cancer cohort validated using bootstrap methods.
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ABSTRACT: Cluster identification has emerged as a priority for symptom research. Variation in statistical approaches has hampered the identification of common clusters that should be targeted for intervention. The purpose of this study was to identify and validate common symptom clusters in a large population-based cohort of ambulatory cancer subjects. This descriptive, factor analysis study used bootstrap methods to derive a stable factor structure to identify symptom clusters in a population-based sample of cancer patients. Subjects were identified from a provincial symptom database and linked to other provincial databases. Symptom clusters were validated using confirmatory factor analysis in a randomly selected portion of the sample and model fit examined using common goodness of fit criteria. The cluster cohort included 14,247 subjects. Three symptom clusters were identified: fatigue-sickness symptoms (tiredness, nausea, drowsiness and shortness of breath), emotional distress (depression and anxiety), and a poor sense of well-being (appetite and well-being). These clusters were stable across most sub-populations in the cohort. The identification of common symptom clusters using robust statistical methods will help to yield targets to improve symptom management and identify populations at risk for worse disease outcomes.European journal of cancer (Oxford, England: 1990) 05/2012; 48(16):3073-81. · 4.12 Impact Factor -
Article: Quality Improvement in Cancer Symptom Assessment and Control: The Provincial Palliative Care Integration Project (PPCIP)
Journal of Pain and Symptom Management 04/2012; 43(4-43):663. · 2.50 Impact Factor -
Article: Quality improvement in cancer symptom assessment and control: the Provincial Palliative Care Integration Project (PPCIP).
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ABSTRACT: The Provincial Palliative Care Integration Project (PPCIP) was implemented in Ontario, Canada, to enhance the quality of palliative care delivery. The PPCIP promoted collaboration and integration across service sectors to improve screening and assessment, palliative care processes, as well as clinician practice and outcomes for cancer patients. The project involved 1) implementation of the Edmonton Symptom Assessment System (ESAS) for symptom screening, 2) use of "rapid-cycle change" quality improvement processes to improve screening and symptom management, and 3) improvements in integration and access to palliative care services. Symptom scores were collected and made accessible to the care team through a web-based tool and kiosk technology, which helped patients enter their ESAS scores at each visit to the regional cancer center or at home with their nurse. Symptom response data were gathered through clinical chart audits. Within one year of implementation, regional cancer centers saw improvements in symptom screening (54% of lung cancer patients), symptom control (69% of patients with pain scores and 31% of patients with dyspnea scores seven or more were reduced to six or less within 72 hours), and functional assessment (23% of all patients and 64% of palliative care clinic patients). ESAS screening rates reached 29%, and functional assessment reached 26% of targeted home care patients. The PPCIP demonstrated that significant strides in symptom screening and response can be achieved within a year using rapid-cycle change and collaborative approaches. It showed that both short- and long-term improvement require ongoing facilitation to embed the changes in system design and change the culture of clinical practice.Journal of pain and symptom management 04/2012; 43(4):663-78. · 2.42 Impact Factor -
Article: Opioid prescription after pain assessment: a population-based cohort of elderly patients with cancer.
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ABSTRACT: The purpose of this study was to measure opioid prescription (OP) rates in elderly cancer outpatients around the time of assessment for pain and to evaluate factors associated with receiving OPs for those with severe pain. The cross-sectional cohort includes all patients with cancer in Ontario older than age 65 years who completed a pain assessment as part of a provincial initiative of systematic symptom screening. Patients were assigned to mutually exclusive categories by pain score severity: 0, 1 to 3 (mild), 4 to 6 (moderate), and 7 to 10 (severe). We linked multiple provincial health databases to examine the proportion of patients with an OP within 7 days after or 30 days before the assessment date. We examined factors associated with OPs for patients with pain scores of 7 to 10. The proportion of patients with an OP increased as pain score severity increased: 10% of those with no pain, 24% of those with mild pain, 45% of those with moderate pain, and 67% of those with severe pain. More specifically, for those with severe pain, 41% filled an OP within 7 days of assessment for pain, and 26% had an OP from the 30 days before assessment for pain, leaving 33% without an OP. In multivariable analysis, factors associated with OPs are younger age, male sex, comorbid illness, cancer type, and assessment at home. Despite a generous time window for capturing OPs, the proportion of patients without an OP seems high. Further knowledge translation is required to maximize the impact of the symptom screening initiative in Ontario and to optimize management of cancer-related pain.Journal of Clinical Oncology 02/2012; 30(10):1095-9. · 18.37 Impact Factor -
Article: Multistate analysis of interval-censored longitudinal data: application to a cohort study on performance status among patients diagnosed with cancer.
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ABSTRACT: In observational studies on cancer patients, progression of performance status over time can be described by using a multistate model in which state-to-state transitions represent changes in a patient's health condition. Although a patient experiences transitions in continuous time, assessments on the patient are often made at irregularly spaced time points. In this paper, the authors formulate a Markov 4-state model for examining longitudinal data on performance status collected under intermittent observation. The cohort consisted of 11,342 patients diagnosed with cancer in Ontario, Canada, from 2007 to 2009. The authors extend the model to estimate the predicted probability of reaching the absorbing state, death, over various time intervals. The authors also illustrate what happens to the estimated transition intensities if the true observational scheme is overlooked. Methods for multistate analysis should be used by epidemiologists, since they prove particularly useful for examining the complexities of disease processes.American journal of epidemiology 02/2011; 173(4):468-75. · 5.59 Impact Factor -
Article: Trajectory of performance status and symptom scores for patients with cancer during the last six months of life.
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ABSTRACT: Ontario's cancer system is unique because it has implemented two standardized assessment tools population-wide to improve care: the Edmonton Symptom Assessment System (ESAS) measures severity of nine symptoms (scale 0 to 10; 10 indicates the worst) and the Palliative Performance Scale (PPS) measures performance status (scale 0 to 100; 0 indicates death). This article describes the trajectory of ESAS and PPS scores 6 months before death. Observational cohort study of cancer decedents between 2007 and 2009. Decedents required ≥1 ESAS or PPS assessment in the 6 months before death for inclusion. Outcomes were the decedents' average ESAS and PPS scores per week before death. Ten thousand seven hundred fifty-two (ESAS) and 7,882 (PPS) decedents were included. The mean age was 65 years, half were female, and approximately 75% of assessments occurred in cancer clinics. Average PPS score declined slowly over the 6 months before death, starting at approximately 70 and ending at 40, declining more rapidly in the last month. For ESAS symptoms, average pain, nausea, anxiety, and depression scores remained relatively stable over the 6 months. Conversely, shortness of breath, drowsiness, well-being, lack of appetite, and tiredness increased in severity over time, particularly in the month before death. More than one third of the cohort reported moderate to severe scores (ie, 4 to 10) for most symptoms in the last month of life. In this large outpatient cancer population, trajectories of mean ESAS scores followed two patterns: increasing versus generally flat. The latter was perhaps due to available treatment (eg, prescriptions) for those symptoms. Future research should prioritize addressing symptoms that worsen over time.Journal of Clinical Oncology 02/2011; 29(9):1151-8. · 18.37 Impact Factor -
Article: Cancer Care Ontario's experience with implementation of routine physical and psychological symptom distress screening.
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ABSTRACT: In late 2006, Cancer Care Ontario launched a quality improvement initiative to implement routine screening with the Edmonton Symptom Assessment System (ESAS) for cancer patients seen in fourteen Regional Cancer Centres throughout the province. A central team: created a provincial project plan and management and evaluation framework; developed common tools and provided expert coaching and guidance, provincial data analysis, progress reporting and program evaluation. Regional Steering Committees and Improvement teams were accountable for planning and coordination within each region and supported by a funded Regional Improvement Coordinator. A hybrid model for quality improvement facilitated process improvements and uptake of screening. Challenges to implementation included: lack of consensus on the chosen screening tool, lack of guidance for assessment or management of high scores, concern of inadequate time or resources to address issues identified by the screening, data entry was labour intensive, resistance to change and challenges to the traditional care model. Essential components for success were: centralized project management, a person dedicated to implementation of the project locally, clinical champions, clearly identified aims, monthly regional data reporting and implementation of quality improvement methodologies with expectations for performance. To achieve screening aims many centres engaged all members of the team, examined the roles of the different members and reorganized workflow and responsibilities and changed booking times. In March 2010, approximately 25,000 ESAS's were completed in the regional cancer centres across Ontario, with 60% of lung cancer patients and almost 40% of all other cancer patients who visited the Regional Cancer Centres screened. Routine physical and psychological distress screening is possible within regional cancer centres. Although considerable effort and investment is required, it is worthwhile as it helps create a culture that is more patient-centered.Psycho-Oncology 02/2011; 21(4):357-64. · 3.34 Impact Factor -
Article: Symptom burden and performance status in a population-based cohort of ambulatory cancer patients.
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ABSTRACT: For ambulatory cancer patients, Ontario has standardized symptom and performance status assessment population-wide, using the Edmonton Symptom Assessment System (ESAS) and Palliative Performance Scale (PPS). In a broad cross-section of cancer outpatients, the authors describe the ESAS and PPS scores and their relation to patient characteristics. This is a descriptive study using administrative healthcare data. The cohort included 45,118 and 23,802 patients' first ESAS and PPS, respectively. Fatigue was most prevalent (75%), and nausea least prevalent (25%) in the cohort. More than half of patients reported pain or shortness of breath; about half of those reported moderate to severe scores. Seventy-eight percent had stable performance status scores. On multivariate analysis, worse ESAS outcomes were consistently seen for women, those with comorbidity, and those with shorter survivals from assessment. Lung cancer patients had the worst burden of symptoms. This is the first study to report ESAS and PPS scores in a large, geographically based cohort with a full scope of cancer diagnoses, including patients seen earlier in the cancer trajectory (ie, treated for cure). In this ambulatory cancer population, the high prevalence of numerous symptoms parallels those reported in palliative populations and represents a target for improved clinical care. Differences in outcomes for subgroups require further investigation. This research sets the groundwork for future research on patient and provider outcomes using linked administrative healthcare data.Cancer 12/2010; 116(24):5767-76. · 4.77 Impact Factor -
Article: Interconversion of three measures of performance status: an empirical analysis.
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ABSTRACT: To construct empirically a conversion table to convert performance status scores among the Eastern Cooperative Oncology Group (ECOG), Karnofsky Performance Status (KPS) and Palliative Performance Scale (PPS) measures, using a large sample of patients with advanced cancer. Seven physicians completed assessments on 1385 consecutive patients attending an oncology palliative care clinic, or admitted to an acute cancer palliative care unit. The three measures were distributed as a questionnaire package; the order in which they were presented was randomly assigned for each week. Scales were compared using the hit rate and the weighted kappa coefficient (κ(w)). The KPS and PPS were compared directly; for comparisons of either scale with the ECOG, all 70 possible categorisations of KPS and PPS were computed. An 'ideal' categorisation was selected based on maximisation of both statistical methods. The KPS and PPS matched in 1209 out of 1385 assessments (hit rate 87%; κ(w) 0.97). For both the KPS and the PPS, the categorisation of 100 (ECOG 0), 80-90 (1), 60-70 (2), 40-50 (3), 10-30 (4) had the highest hit rate (75%), and the second highest κ(w) (0.84, p<0.0001). One other combination had a slightly higher κ(w) (0.85 for both KPS and PPS), but a lower hit rate (73% for KPS, 72% for PPS). We have derived empirically a conversion scale among the ECOG, KPS and PPS scales. The proposed scale provides a means of translating amongst these measures, which may improve accuracy of communication about performance status amongst oncology clinicians and researchers.European journal of cancer (Oxford, England: 1990) 12/2010; 46(18):3175-83. · 4.12 Impact Factor -
Article: Why do patients with cancer visit the emergency department near the end of life?
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ABSTRACT: For patients dying of cancer, a visit to the emergency department can be disruptive, distressing and exhausting. Such visits made near the end of life are considered an indicator of poor-quality cancer care. We describe the most common reasons for visits made to the emergency department during the final six months of life and the final two weeks of life by patients dying of cancer. We performed a descriptive, retrospective cohort study using linked administrative sources of health care data. Between 2002 and 2005 in Ontario, 91,561 patients died of cancer. Of these, 76,759 patients made 194,017 visits to the emergency department during the final six months of life. Further, 31,076 patients made 36,600 visits to the emergency department during the final two weeks of life. In both periods, the most common reasons were abdominal pain, lung cancer, dyspnea, pneumonia, malaise and fatigue, and pleural effusion. Many visits made to the emergency department by patients with cancer near the end of life may be avoidable. An understanding of the reasons for such visits could be useful in the development of dedicated interventions for preventing or avoiding their occurrence.Canadian Medical Association Journal 03/2010; 182(6):563-8. · 8.22 Impact Factor -
Article: Palliative cancer care a decade later: accomplishments, the need, next steps -- from the American Society of Clinical Oncology.
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ABSTRACT: In 1998, the American Society of Clinical Oncology (ASCO) published a special article regarding palliative care and companion recommendations. Herein we summarize the major accomplishments of ASCO regarding palliative cancer and highlight current needs and make recommendations to realize the Society's vision of comprehensive cancer care by 2020. ASCO convened a task force of palliative care experts to assess the state of palliative cancer care in the Society's programs. We reviewed accomplishments, assessed current needs, and developed a definition of palliative cancer. Senior ASCO members and the Board of Directors reviewed and endorsed this article for submission to Journal of Clinical Oncology. Palliative cancer care is the integration into cancer care of therapies that address the multiple issues that cause suffering for patients and their families and impact their life quality. Effective provision of palliative cancer care requires an interdisciplinary team that can provide care in all patient settings, including outpatient clinics, acute and long-term care facilities, and private homes. Changes in current policy, drug availability, and education are necessary for the integration of palliative care throughout the experience of cancer, for the achievement of quality improvement initiatives, and for effective palliative cancer care research. The need for palliative cancer care is greater than ever notwithstanding the strides made over the last decade. Further efforts are needed to realize the integration of palliative care in the model and vision of comprehensive cancer care by 2020.Journal of Clinical Oncology 06/2009; 27(18):3052-8. · 18.37 Impact Factor -
Article: Intractable nausea in a patient with metastatic colorectal cancer following insertion of a colonic stent.
Journal of pain and symptom management 08/2008; 36(1):e6-e10. · 2.42 Impact Factor -
Article: Ontario, Canada: using networks to integrate palliative care province-wide.
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ABSTRACT: Ontario, a Canadian province, identified the lack of coordination, integration, and consistency of end-of-life care services as barriers to quality palliative care. To address these barriers, various governmental, organizational, and community-level initiatives were implemented. The Ministry of Health and Long-Term Care enacted an End-of-Life Care Strategy in 2005 aimed at shifting care from acute settings to appropriate alternate settings of care; enhancing client-centered and interdisciplinary service capacity; and improving access, coordination, and consistency of services. Crucial to accomplishing the strategy was the establishment of End-of-Life Networks within health care planning regions. The networks were instrumental in developing end-of-life care service delivery models in the various regions, bringing key stakeholders together toward a common vision, and building strong collaborations across providers and settings. Cancer Care Ontario, an organization dedicated to improving cancer care at the regional and provincial levels, also leads improvements in palliative care through the implementation of a palliative strategy for cancer patients aimed at improved measurement of quality indicators, increased use of evidence and standards, and increased efficiency and access to care. A regional network of organizations in Southeastern Ontario created a quality improvement project, the Palliative Care Integration Project (PCIP), which disseminated common symptom assessment tools, collaborative care plans, and evidence-based guidelines across the continuum of care. The PCIP was embraced by key stakeholders across the province as a model intervention to better coordinate, integrate, and standardize palliative care service delivery, and is currently being spread across all regions of the province.Journal of Pain and Symptom Management 06/2007; 33(5):640-4. · 2.50 Impact Factor -
Article: Women experience higher levels of fatigue than men at the end of life: a longitudinal home palliative care study.
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ABSTRACT: Few studies have evaluated sex differences in the prevalence, severity, and correlates of fatigue at the end of life. The Brief Fatigue Inventory, McGill Quality of Life (MQOL) Questionnaire, and Karnofsky Performance Scale were administered at two-week intervals to 102 patients in a home palliative program. Outcomes in the sample and a regional palliative database (n=3,096) were analyzed. Cancer was the diagnosis in 96% of patients enrolled. Prevalence (P=0.0091) and severity of fatigue (P<0.001) were higher in women at entry and in a repeated measures analysis over time (severity, P=0.0048). Performance status did not explain this difference. MQOL scores were inversely correlated to fatigue (Spearman coefficient=-0.48, P<0.0001), but did not differ by sex. There was no difference in fatigue interference with MQOL in women and men. Although depression was higher in women (P=0.042) and related to fatigue at entry, it did not explain the sex difference in fatigue scores. Of the sociodemographic variables examined, neither education nor living situation contributed to the fatigue difference. This study shows a sex effect in the fatigue experienced by patients with advanced illnesses, which is not explained by baseline differences in performance, depression, MQOL, education, or living situation. That fatigue interference with MQOL is the same for men and women suggests that higher fatigue scores in women reflect not only a difference in the dimension of fatigue severity, but are also relevant in relation to impact on QOL. Assessment of fatigue should include the dimension of QOL important for both women and men.Journal of Pain and Symptom Management 04/2007; 33(4):389-97. · 2.50 Impact Factor
Top co-authors
Top Journals
Institutions
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2007–2013
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University of Toronto
- • Institute for Clinical Evaluative Sciences
- • Department of Radiation Oncology
- • Department of Family and Community Medicine
Toronto, Ontario, Canada
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2007–2012
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Cancer Care Ontario
Toronto, Ontario, Canada
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