Resource use, costs and quality of end-of-life care: Observations in a cohort of elderly Australian cancer decedents

© Commonwealth of Australia; licensee BioMed Central Ltd. Background: The last year of life is one of the most resource-intensive periods for people with cancer. Very little population-based research has been conducted on end-of-life cancer care in the Australian health care setting. The objective of this program is to undertake a series of observational studies examining resource use, costs and quality of end-of-life care in a cohort of elderly cancer decedents using linked, routinely collected data. Methods/Design: This study forms part of an ongoing cancer health services research program. The cohorts for the end-of-life research program comprise Australian Government Department of Veterans' Affairs decedents with full health care entitlements, residing in NSW for the last 18 months of life and dying between 2005 and 2009. We used cancer and death registry data to identify our decedent cohorts and their causes of death. The study population includes 9,862 decedents with a cancer history and 15,483 decedents without a cancer history. The median age at death is 86 and 87 years in the cancer and non-cancer cohorts, respectively. We will examine resource use and associated costs in the last 6 months of life using linked claims data to report on health service use, hospitalizations, emergency department visits and medicines use. We will use best practice methods to examine the nature and extent of resource use, costs and quality of care based on previously published indicators. We will also examine factors associated with these outcomes. Discussion: This will be the first Australian research program and among the first internationally to combine routinely collected data from primary care and hospital-based care to examine comprehensively end-of-life care in the elderly. The research program has high translational value, as there is limited evidence about the nature and quality of care in the Australian end-of-life setting

Proceedings of Patient Reported Outcome Measure’s (PROMs) Conference Oxford 2017: Advances in Patient Reported Outcomes Research

A33-Effects of Out-of-Pocket (OOP) Payments and Financial Distress on Quality of Life (QoL) of People with Parkinson’s (PwP) and their Carer

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. The Boolean features selected by these logistic models were combined into an Integrated PolyGenic Score that offers a synthetic and interpretable index for describing the contribution of host genetics in COVID-19 severity, as demonstrated through testing in several independent cohorts. Selected features belong to ultra-rare, rare, low-frequency, and common variants, including those in linkage disequilibrium with known GWAS loci. Noteworthily, around one quarter of the selected genes are sex-specific. Pathway analysis of the selected genes associated with COVID-19 severity reflected the multi-organ nature of the disease. The proposed model might provide useful information for developing diagnostics and therapeutics, while also being able to guide bedside disease management. © 2021, The Author(s)

How do medical doctors use a web-based oncology protocol system? A comparison of Australian doctors at different levels of medical training using logfile analysis and an online survey

BACKGROUND: Electronic decision support is commonplace in medical practice. However, its adoption at the point-of-care is dependent on a range of organisational, patient and clinician-related factors. In particular, level of clinical experience is an important driver of electronic decision support uptake. Our objective was to examine the way in which Australian doctors at different stages of medical training use a web-based oncology system (http://www.eviq.org.au). METHODS: We used logfiles to examine the characteristics of eviQ registrants (2009–2012) and patterns of eviQ use in 2012, according to level of medical training. We also used a web-based survey to evaluate the way doctors at different levels of medical training use the online system and to elicit perceptions of the system’s utility in oncology care. RESULTS: Our study cohort comprised 2,549 eviQ registrants who were hospital-based medical doctors across all levels of training. 65% of the cohort used eviQ in 2012, with 25% of interns/residents, 61% of advanced oncology trainees and 47% of speciality-qualified oncologists accessing eviQ in the last 3 months of 2012. The cohort accounted for 445,492 webhits in 2012. On average, advanced trainees used eviQ up to five-times more than other doctors (42.6 webhits/month compared to 22.8 for specialty-qualified doctors and 7.4 webhits/month for interns/residents). Of the 52 survey respondents, 89% accessed eviQ’s chemotherapy protocols on a daily or weekly basis in the month prior to the survey. 79% of respondents used eviQ at least weekly to initiate therapy and to support monitoring (29%), altering (35%) or ceasing therapy (19%). Consistent with the logfile analysis, advanced oncology trainees report more frequent eviQ use than doctors at other stages of medical training. CONCLUSIONS: The majority of the Australian oncology workforce are registered on eviQ. The frequency of use directly mirrors the clinical role of doctors and attitudes about the utility of eviQ in decision-making. Evaluations of this kind generate important data for system developers and medical educators to drive improvements in electronic decision support to better meet the needs of clinicians. This end-user focus will optimise the uptake of systems which will translate into improvements in processes of care and patient outcomes

Uptake of a web-based oncology protocol system: how do cancer clinicians use eviQ cancer treatments online?

Background: The use of computerized systems to support evidence-based practice is commonplace in contemporary medicine. Despite the prolific use of electronic support systems there has been relatively little research on the uptake of web-based systems in the oncology setting. Our objective was to examine the uptake of a web-based oncology protocol system (http://www.eviq.org.au) by Australian cancer clinicians.Methods: We used web-logfiles and Google Analytics to examine the characteristics of eviQ registrants from October 2009-December 2011 and patterns of use by cancer clinicians during a typical month.Results: As of December 2011, there were 16,037 registrants; 85% of whom were Australian health care professionals. During a typical month 87% of webhits occurred in standard clinical hours (08:00 to 18:00 weekdays). Raw webhits were proportional to the size of clinician groups: nurses (47% of Australian registrants), followed by doctors (20%), and pharmacists (14%). However, pharmacists had up to three times the webhit rate of other clinical groups. Clinicians spent five times longer viewing chemotherapy protocol pages than other content and the protocols viewed reflect the most common cancers: lung, breast and colorectal.Conclusions: Our results demonstrate eviQ is used by a range of health professionals involved in cancer treatment at the point-of-care. Continued monitoring of electronic decision support systems is vital to understanding how they are used in clinical practice and their impact on processes of care and patient outcomes

An Evaluation of web-based clinical practice guidelines for managing problems associated with cannabis use

Background: Cannabis is the most widely used illicit substance, and multiple treatment options and avenues exist for managing its use. There has been an increase in the development of clinical practice guidelines (CPGs) to improve standards of care in this area, many of which are disseminated online. However, little is known about the quality and accessibility of these online CPGs. Objective: The purpose of study 1 was to determine the extent to which cannabis-related CPGs disseminated online adhere to established methodological standards. The purpose of study 2 was to determine if treatment providers are familiar with these guidelines and to assess their perceived quality of these guidelines. Methods: Study 1 involved a systematic search using the Google Scholar search engine and the National Drugs Sector Information Service (NDSIS) website of the Alcohol and Other Drugs Council of Australia (ADCA) to identify CPGs disseminated online. To be included in the current study, CPGs needed to be free of charge and provide guidance on psychological interventions for reducing cannabis use. Four trained reviewers independently assessed the quality of the 7 identified guidelines using the Appraisal of Guidelines for Research and Evaluation (AGREE II) tool. Study 2 assessed 166 Australian cannabis-use treatment providers' (mean age = 45.47 years, SD 12.14) familiarity with and opinions of these 7 guidelines using an online survey. Treatment providers were recruited using online advertisements that directed volunteers to a link to complete the survey, which was posted online for 6 months (January to June 2012). Primary study outcomes included quality scores and rates of guideline familiarity, guideline use, and discovery methods. Results: Based on the AGREE II, the quality of CPGs varied considerably. Across different reporting domains, adherence to methodological standards ranged from 0% to 92%. Quality was lowest in the domains of rigor of development (50%), applicability (46%), and editorial independence (30%). Although examination of AGREE II domain scores demonstrated that the quality of the 7 guidelines could be divided into 3 categories (high quality, acceptable to low quality, and very low quality), review of treatment providers' quality perceptions indicated all guidelines fell into 1 category (acceptable quality). Based on treatment providers' familiarity with and usage rates of the CPGs, a combination of peer/colleagues, senior professionals, workshops, and Internet dissemination was deemed to be most effective for promoting cannabis use CPGs. Lack of time, guideline length, conflicts with theoretical orientation, and prior content knowledge were identified as barriers to guideline uptake. Conclusions: Developers of CPGs should improve their reporting of development processes, conflicts of interest, and CPGs' applicability to practice, while remaining cognizant that long guidelines may deter implementation. Treatment providers need to be aware that the quality of cannabis-related CPGs varies substantially.22 page(s

Health care use and costs at the end of life: a comparison of elderly Australian decedents with and without a cancer history

Background: There is limited population-level research on end-of-life care in Australia that considers health care use and costs across hospital and community sectors. The aim of this study was to quantify health care use and costs in the last 6 months of life in a cohort of elderly Australian decedents and to examine the factors associated with end-of-life resource use and costs. Methods: A retrospective cohort study using routinely collected health data from Australian Government Department of Veterans’ Affairs clients. The study included two cohorts of elderly Australians who died between 2005 and 2009; one cohort with a recorded cancer diagnosis and a comparison cohort with no evidence of a cancer history. We examined hospitalisations, emergency department (ED) visits, prescription drugs, clinician visits, pathology, and procedures and associated costs in the last 6 months of life. We used negative binominal regression to explore factors associated with health service use and costs. Results: The cancer cohort had significantly higher rates of health service use and 27% higher total health care costs than the comparison cohort; in both cohorts, costs were driven primarily by hospitalisations. Older age was associated with lower costs and those who died in residential aged care incurred half the costs of those who died in hospital. Conclusions: The results suggest differences in end-of-life care pathways dependent on patient factors, with younger, community-dwelling patients and those with a history of cancer incurring significantly greater costs. There is a need to examine whether the investment in end-of-life care meets patient and societal needs.Other UBCNon UBCReviewedFacult