Transforming routinely collected residential aged care provider data into timely information: Current and future directions.

Electronic information systems are becoming increasingly common in residential aged care in Australia. These systems contain valuable data generated during day-to-day care delivery for older adults. These data (termed 'routinely collected residential aged care provider data') are currently underutilised, however have potential significant benefits for both care delivery and research purposes. Routinely collected residential aged care provider data are more readily accessible, contain up-to-date information and can be linked to existing national or state-based administrative data sets, while providing more granular details about care delivered at the coalface. The aim of this paper is to provide clinicians, researchers, policymakers and providers with an understanding of the strengths of these types of data, as well as identifying areas that require future development to maximise their potential to drive improvements in resident care and outcomes. These considerations include data quality, data standardisation and models for data governance, consent and consumer involvement.

Quality of life measurement in community-based aged care - understanding variation between clients and between care service providers.

BACKGROUND: Measuring person-centred outcomes and using this information to improve service delivery is a challenge for many care providers. We aimed to identify predictors of QoL among older adults receiving community-based aged care services and examine variation across different community care service outlets. METHODS: A retrospective sample of 1141 Australians aged ≥60 years receiving community-based care services from a large service provider within 19 service outlets. Clients' QoL was captured using the ICEpop CAPability Index. QoL scores and predictors of QoL (i.e. sociodemographic, social participation and service use) were extracted from clients' electronic records and examined using multivariable regression. Funnel plots were used to examine variation in risk-adjusted QoL scores across service outlets. RESULTS: Mean age was 81.5 years (SD = 8) and 75.5% were women. Clients had a mean QoL score of 0.81 (range 0-1, SD = 0.15). After accounting for other factors, being older (p < 0.01), having lower-level care needs (p < 0.01), receiving services which met needs for assistance with activities of daily living (p < 0.01), and having higher levels of social participation (p < 0.001) were associated with higher QoL scores. Of the 19 service outlets, 21% (n = 4) had lower mean risk-adjusted QoL scores than expected (< 95% control limits) and 16% (n = 3) had higher mean scores than expected. CONCLUSION: Using QoL as an indicator to compare care quality may be feasible, with appropriate risk adjustment. Implementing QoL tools allows providers to measure and monitor their performance and service outcomes, as well as identify clients with poor quality of life who may need extra support. TRIAL REGISTRATION: Australian and New Zealand clinical trial registry number: ACTRN12617001212347 . Registered 18/08/2017.

Unmet Needs for Transdermal Patch Management in Electronic Medication Administration Records: An Analysis of Data from 66 Aged Care Facilities.

BACKGROUND: Transdermal medication patches have caused serious adverse events in residential aged care facilities (RACFs). Preliminary research suggests that facilities are using a workaround consisting of manually entered reminders in their electronic medication administration records (eMARs) to prompt staff to check and remove patches, because the eMAR does not support these tasks. However, the prevalence and factors associated with use of this workaround among facilities is unknown. OBJECTIVES: The objectives of this study were to (1) examine the frequency and consistency with which manual reminders to check and remove transdermal patches were used in facility eMARs, and (2) identify resident and facility factors associated with reminder use, to inform eMAR redesign. METHODS: This was a retrospective cross-sectional analysis of eMAR data from 66 Australian RACFs including 4,787 permanent residents, aged ≥65 years in January 2017. Prevalence of the use of reminders to check and remove patches, and consistency in their application within facilities were examined. Generalized estimating equations were used to determine factors associated with use of manual reminders. RESULTS: One in five (n = 937) residents used a patch, and 83.6% of patches contained opioids, a high-risk medicine. 56.9% of facilities implemented manually entered check patch reminders in the eMAR, and 72.3% implemented remove reminders. The reminders were applied inconsistently, with only half of these facilities having reminders for all residents with patches. Residents in facilities in regional areas were more likely to have a check reminder compared with those in major cities (adjusted odds ratio = 4.72 [95% confidence interval: 1.69-13.20]). CONCLUSION: Transdermal patches containing high-risk medicines are frequently used in RACFs, but their safe administration is not supported by a widely implemented eMAR. The frequent, but inconsistent use of a workaround to manually enter reminders indicates an unmet need for new eMAR functionality to improve safety.

Measuring the prevalence of 60 health conditions in older Australians in residential aged care with electronic health records: a retrospective dynamic cohort study.

BACKGROUND: The number of older Australians using aged care services is increasing, yet there is an absence of reliable data on their health. Multimorbidity in this population has not been well described. A clear picture of the health status of people using aged care is essential for informing health practice and policy to support evidence-based, equitable, high-quality care. Our objective was to describe the health status of older Australians living in residential aged care facilities (RACFs) and develop a model for monitoring health conditions using data from electronic health record systems. METHODS: Using a dynamic retrospective cohort of 9436 RACF residents living in 68 RACFs in New South Wales and the Australian Capital Territory from 2014 to 2017, we developed an algorithm to identify residents' conditions using aged care funding assessments, medications administered, and clinical notes from their facility electronic health record (EHR). We generated age- and sex-specific prevalence estimates for 60 health conditions. Agreement between conditions recorded in aged care funding assessments and those documented in residents' EHRs was evaluated using Cohen's kappa. Cluster analysis was used to describe combinations of health conditions (multimorbidity) occurring among residents. RESULTS: Using all data sources, 93% of residents had some form of circulatory disease, with hypertension the most common (62%). Most residents (93%) had a mental or behavioural disorder, including dementia (58%) or depression (54%). For most conditions, EHR data identified approximately twice the number of people with the condition compared to aged care funding assessments. Agreement between data sources was highest for multiple sclerosis, Huntington's disease, and dementia. The cluster analysis identified seven groups with distinct combinations of health conditions and demographic characteristics and found that the most complex cluster represented a group of residents that had on average the longest lengths of stay in residential care. CONCLUSIONS: The prevalence of many health conditions among RACF residents in Australia is underestimated in previous reports. Aged care EHR data have the potential to be used to better understand the complex health needs of this vulnerable population and can help fill the information gaps needed for population health surveillance and quality monitoring.

Anti-osteoporosis Medication Use in a High Fracture-Risk Population: Contemporary Trends in Australian Residential Aged Care Facilities.

Osteoporotic fractures impose substantial morbidity and mortality among older adults. Undertreatment is an ongoing concern; treatment rates declined following reports of adverse effects of guideline-recommended bisphosphonates, but new antiresorptives have since become available. Our goal was to identify contemporary trends in osteoporosis treatment guideline adherence in a high fracture-risk population. We conducted a secondary data analysis using electronic health record data of adults aged ⩾65 years from 68 residential aged care facilities in Australia during 2014-2017 (n = 9094). Using medication administration data, we identified antiresorptive (bisphosphonates and denosumab) and vitamin D supplement use among residents with osteoporosis. Regression was used to evaluate temporal trends, and resident and facility characteristics associated with antiresorptive use and vitamin D use. In 2014, 34% of women and 42% of men with osteoporosis used antiresorptives; this decreased 8 percentage points by 2017. Antiresorptive use was higher among those with a history of fracture and lower in the last year of life. Denosumab use increased but did not substitute for the continued decline in bisphosphonate use. Vitamin D was consistently used by more than 60% of residents and was higher among those with fracture history. Greater attention to the treatment of osteoporosis treatment rates among this high fracture-risk population is warranted.

Leveraging new information technology to monitor medicine use in 71 residential aged care facilities: variation in polypharmacy and antipsychotic use.

OBJECTIVE: The aim of this study was to use routinely collected electronic medicines administration (eMAR) data in residential aged care (RAC) to investigate the quality use of medicines. DESIGN: A cross-sectional analysis of eMAR data. SETTING: 71 RAC facilities in New South Wales and the Australian Capital Territory, Australia. PARTICIPANTS: Permanent residents living in a participating facility on 1 October 2015. INTERVENTION: None. MAIN OUTCOME MEASURES: Variation in polypharmacy (≥5 medications), hyper-polypharmacy (≥10 medications) and antipsychotic use across facilities was examined using funnel plot analysis. RESULTS: The study dataset included 4775 long-term residents. The mean resident age was 85.3 years and 70.6% of residents were female. The median facility size was 60 residents and 74.3% were in metropolitan locations. 84.3% of residents had polypharmacy, 41.2% hyper-polypharmacy and 21.0% were using an antipsychotic. The extent of polypharmacy (69.75-100% of residents), hyper-polypharmacy (38.81-76.19%) and use of antipsychotic medicines (0-75.6%) varied considerably across the 71 facilities. CONCLUSIONS: Using eMAR data we found substantial variation in polypharmacy, hyper-polypharmacy and antipsychotic medicine use across 71 RAC facilities. Further investigation into the policies and practices of facilities performing above or below expected levels is warranted to understand variation and drive quality improvement.

Optimal delivery of colorectal cancer follow-up care: improving patient outcomes.

Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. With population aging and increases in survival, the number of CRC survivors is projected to rise dramatically. The time following initial treatment is often described as a period of transition from intensive hospital-based care back into "regular life." This review provides an overview of recommended follow-up care for people with CRC who have been treated with curative intent, as well as exploring the current state of the research that underpins these guidelines. For patients, key concerns following treatment include the development of recurrent and new cancers, late and long-term effects of cancer and treatment, and the interplay of these factors with daily function and general health. For physicians, survivorship care plans can be a tool for coordinating the surveillance, intervention, and prevention of these key patient concerns. Though much of the research in cancer survivorship to date has focused on surveillance for recurrent disease, many national guidelines differ in their conclusions about the frequency and timing of follow-up tests. Most CRC guidelines refer only briefly to the management of side effects, despite reports that many patients have a range of ongoing physiological, psychosocial, and functional needs. Guidance for surveillance and intervention is often limited by a small number of heterogeneous trials conducted in this patient group. However, recently released survivorship guidelines emphasize the potential for the effectiveness of secondary prevention strategies, such as physical activity, to improve patient outcomes. There is also emerging evidence for the role of primary care providers and nurse coordinated care to support the transition and increase the cost-effectiveness of follow-up. The shift in focus from recurrence alone to the assessment and management of a range of survivorship issues will be important for ensuring that this growing group of patients achieves optimal outcomes.

Predictors of variation in colorectal cancer care and outcomes in New South Wales: a population-based health data linkage study.

OBJECTIVE: To identify predictors of variation in colorectal cancer care and outcomes in New South Wales. DESIGN, SETTING AND PATIENTS: Multilevel logistic regression analysis using a linked population-based dataset based on the records of patients with cancer of the colon, rectosigmoid junction or rectum who were registered in 2007 and 2008 by the NSW Central Cancer Registry and treated in 105 hospitals in NSW. MAIN OUTCOME MEASURES: Six outcome measures (30-day mortality, 28-day emergency readmission, prolonged length of stay, 30-day wound infection, 90-day venous thromboembolism, 1-year mortality) and five care process measures (discussion at multidisciplinary team [MDT] meeting, documented cancer stage, recorded pathological stage, treatment within 31 days of decision to treat, treatment within 62 days of referral). RESULTS: We analysed data for 6890 people. There was wide variation between hospitals in care process measures, even after adjusting for patient and hospital factors. Older adults were less likely to be discussed at an MDT meeting and receive treatment within suggested time frames (all P < 0.001 for colon cancer). Increasing patient age, greater extent of disease, higher Charlson comorbidity score and resection after emergency admission consistently showed strong evidence of an association with poor outcomes. Much of the variation between hospitals in outcome measures was accounted for by patient characteristics. CONCLUSIONS: Patient characteristics should be included in risk-adjustment models for comparing outcomes between hospitals and for quantifying hospital variation. Further exploration of the reasons why certain hospitals and patients appear to be at risk of poorer care is needed.

Does patient age still affect receipt of adjuvant therapy for colorectal cancer in New South Wales, Australia?

OBJECTIVES: To investigate the effect of patient age on receipt of stage-appropriate adjuvant therapy for colorectal cancer in New South Wales, Australia. MATERIALS AND METHODS: A linked population-based dataset was used to examine the records of 580 people with lymph node-positive colon cancer and 498 people with high-risk rectal cancer who underwent surgery following diagnosis in 2007/2008. Multilevel logistic regression models were used to determine whether age remained an independent predictor of adjuvant therapy utilisation after accounting for significant patient, surgeon and hospital characteristics. RESULTS: Overall, 65-73% of eligible patients received chemotherapy and 42-53% received radiotherapy. Increasing age was strongly associated with decreasing likelihood of receiving chemotherapy for lymph node-positive colon cancer (p<0.001) and radiotherapy for high-risk rectal cancer (p=0.003), even after adjusting for confounders such as Charlson comorbidity score and ASA health status. People aged over 70years for chemotherapy and over 75years for radiotherapy were significantly less likely to receive treatment than those aged less than 65. Emergency resection, intensive care admission, and not having a current partner also independently predicted chemotherapy nonreceipt. Other predictors of radiotherapy nonreceipt included being female, not being discussed at multidisciplinary meeting, and lower T stage. Adjuvant therapy rates varied widely between hospitals where surgery was performed. CONCLUSION: There are continuing age disparities in adjuvant therapy utilisation in NSW that are not explained by patients' comorbidities or health status. Further exploration of these complex treatment decisions is needed. Variation by hospital and patient characteristics indicates opportunities to improve patient care and outcomes.

Adjuvant chemotherapy for colorectal cancer: age differences in factors influencing patients' treatment decisions.

PURPOSE: Older colorectal cancer patients are significantly less likely than younger patients to receive guideline-recommended adjuvant chemotherapy. Previous research has indicated that patient refusal of treatment is a contributing factor. This study aimed to identify potential barriers to adjuvant chemotherapy use in older patients by examining the associations between patient age, factors influencing chemotherapy treatment decisions, and preferences for information and decision-making involvement. PATIENTS AND METHODS: Sixty-eight patients who underwent surgery for colorectal cancer in Sydney, Australia, within the previous 24 months completed a self-administered survey. RESULTS: Fear of dying, health status, age, quality of life, and understanding treatment procedures and effects were significantly more important to older patients (aged ≥65 years) than younger patients in deciding whether to accept chemotherapy (all P < 0.05). Reducing the risk of cancer returning and physician trust were important factors for all patients. Practical barriers such as traveling for treatment and cost were rated lowest. Older patients preferred less information and involvement in treatment decision making than younger patients. However, 60% of the older group wanted detailed information about chemotherapy, and 83% wanted some involvement in decision making. Those preferring less information and involvement still rated many factors as important in their decision making, including understanding treatment procedures and effects. CONCLUSION: A range of factors appears to influence patients' chemotherapy decision making, including, but not limited to, survival benefits and treatment toxicity. For older patients, balancing the risks and benefits of treatment may be made more complex by the impact of emotional motivators, greater health concerns, and conflicts between their need for understanding and their information and decision-making preferences. Through greater understanding of perceived barriers to treatment and unique motivators for treatment choice, physicians may be better able to support older patients to make informed decisions about their care.

Unmet supportive care needs in colorectal cancer: differences by age.

PURPOSE: Cancer is primarily a disease of ageing, yet the unmet supportive care needs of older cancer patients are not well understood. This study aims to explore how unmet needs differ by age over the 3 months following colorectal cancer surgery. METHODS: Control groups from pilot phases of an ongoing randomised trial completed the Supportive Care Needs Survey-Short Form 34 (SCNS-SF34) at 1 and 3 months following hospital discharge (n = 57). Multiple regression was used to investigate whether age was an independent predictor of unmet needs in each of the five SCNS-SF34 domains. The proportion of patients with unmet needs and the pattern of item responses were compared between patients aged <65 and ≥ 65 years at both time points. RESULTS: Older age independently predicted significantly lower levels of unmet need than younger age in nearly all SCNS-SF34 domains. However, more than half of all older patients had unmet needs at both time points (56% and 65%), and age differences in unmet needs were less apparent by 3 months. Older patients were less likely than younger patients to report 'satisfied' needs, as older patients were significantly more likely to report items were 'not applicable' at both 1 month (mean difference 29%, p < 0.001) and 3 months (mean difference 23%, p = 0.01). CONCLUSIONS: While older patients reported lower levels of unmet need than younger patients, the high prevalence of unmet needs and age differences in item response patterns indicate that further research is needed to determine whether older patients' needs are being accurately captured.

Older patients and adjuvant therapy for colorectal cancer: surgeon knowledge, opinions, and practice.

BACKGROUND: Increasing patient age independently predicts nonreferral and nonreceipt of adjuvant therapy among patients with colorectal cancer. OBJECTIVE: This study aimed to identify factors affecting surgeons' decisions to refer older patients for adjuvant therapy. DESIGN/SETTINGS/PARTICIPANTS: A self-administered survey was sent to all Australian and New Zealand colorectal surgeons (n = 146). MAIN OUTCOME MEASURES: The survey consisted of 3 sections: 1) knowledge of research evidence, 2) opinions on evidence and adjuvant therapy in older patients, and 3) self-reported practice, or likelihood of patient referral in different scenarios. Demographic information was also obtained. RESULTS: Seventy percent of surgeons responded. Surgeons were significantly less likely to refer older patients than younger patients for adjuvant therapy in all scenarios (P < .001). The difference in referral recommendations was greatest when patients lived a long way from treatment, had a comorbid condition, or had little social support. There was greater variation in referral recommendations for older patients, and marked disagreement between surgeons in knowledge and opinion questions. Surgeon age was the only significant predictor of survey responses. Greater knowledge and more positive opinions predicted similar referral recommendations for older and younger patients (P = .02, P = .01). LIMITATIONS: Although decreased referral and receipt of adjuvant therapy among older patients is most likely multifactorial, this survey focused on the views of one physician group and a number of specific scenarios. CONCLUSIONS: Chronological age alone appears to impact colorectal surgeons' decisions to refer patients for adjuvant therapy. Sociodemographic and physiological factors further decrease the likelihood of referral of older patients. A lack of consensus among surgeons suggests that more research is needed both to predict how older patients with cancer will react to treatment, and to determine how information from emerging evidence can be best used to assist physicians' treatment decisions.