The Drug Burden Index and Level of Frailty as Determinants of Healthcare Costs in a Cohort of Older Frail Adults in New Zealand.

OBJECTIVES: Frailty is common in older people and is associated with increased use of healthcare services and ongoing use of multiple medications. This study provides insights into the healthcare cost structure of a frail group of older adults in Aotearoa, New Zealand. Furthermore, we investigated the relationship between participants' anticholinergic and sedative medication burden and their total healthcare costs to explore the viability of deprescribing interventions within this cohort. METHODS: Healthcare cost analysis was conducted using data collected during a randomized controlled trial within a frail, older cohort. The collected information included participant demographics, medications used, frailty, cost of service use of aged residential care and outpatient hospital services, hospital admissions, and dispensed medications. RESULTS: Data from 338 study participants recruited between 25 September 2018 and 30 October 2020 with a mean age of 80 years were analyzed. The total cost of healthcare per participant ranged from New Zealand $15 (US dollar $10) to New Zealand $270 681 (US dollar $175 943) over 6 months postrecruitment into the study. Four individuals accounted for 26% of this cohort's total healthcare cost. We found frailty to be associated with increased healthcare costs, whereas the drug burden was only associated with increased pharmaceutical costs, not overall healthcare costs. CONCLUSIONS: With no relationship found between a patient's anticholinergic and sedative medication burden and their total healthcare costs, more research is required to understand how and where to unlock healthcare cost savings within frail, older populations.

A cost utility analysis of treating different adult spinal deformity frailty states.

The aim of this study was to investigate the cost utility of treating non-frail versus frail or severely frail adult spinal deformity (ASD) patients. 79 surgical ASD patients >18 years with available frailty and ODI data at baseline and 2-years post-surgery (2Y) were included. Utility data was calculated using the ODI converted to the SF-6D. QALYs utilized a 3% discount rate to account for decline to life expectancy (LE). Costs were calculated using the PearlDiver database. ICER was compared between non-operative (non-op.) and operative (op.) NF and F/SF patients at 2Y and LE. When compared to non-operative ASD, the ICER was $447,943.96 vs. $313,211.01 for NF and F/SF at 2Y, and $68,311.35 vs. $47,764.61 for NF and F/SF at LE. Frail and severely frail patients had lower cost per QALY compared to not frail patients at 2Y and life expectancy, and had lower ICER values when compared to a non-operative cohort of ASD patients. While these results support operative correction of frail and severely frail patients, it is important to note that these patients are often at worse baseline disability, which is closely related to frailty scores, and have more opportunity to improve postoperatively. Furthermore, there may be a threshold of frailty that is not operable due to the risk of severe complications that is not captured by this analysis. While future research should investigate economic outcomes at extended follow up times, these findings support the cost effectiveness of ASD surgery at all frailty states.

Cost-Effectiveness Analysis of Frailty Assessment in Older Patients Undergoing Coronary Artery Bypass Grafting Surgery.

BACKGROUND: In perioperative settings, frailty assessment has been shown to reduce mortality. This study examined the cost effectiveness of frailty assessment among patients aged 65 with coronary artery disease under consideration for coronary artery bypass grafting surgery. METHODS: A combined decision tree and Markov model was developed to estimate costs and quality-adjusted life years (QALYs) over a 21-year time horizon. Clinical parameters were obtained from published literature. Utilities were derived from the literature and the Canadian Community Health Survey. Costs were obtained from the Ontario fee schedule and published literature. Sensitivity and scenario analyses were conducted to assess the robustness of the results. Expected value of perfect information (EVPI) analysis was conducted to estimate the value of further research. RESULTS: The frailty assessment initiative had a lower average cost than no frailty assessment ($19,567 compared with $20,062). QALYs with frailty assessment were 0.47 years more than with no frailty assessment. Thus, frailty assessment was dominant compared with no frailty assessment. Results were robust to changes in the input parameters. At a willingness to pay (WTP) threshold of $50,000/QALY, there was 100% probability of frailty assessment being cost-effective, and the EVPI per patient was $0. Scenario and sensitivity analysis showed frailty screening remained cost effective when changing the cohort average age, removing health benefits for nonfrail patients, and using subjective judgement to modify effectiveness parameters. CONCLUSIONS: Frailty assessment may be good value for money. However, limited availability of geriatric consultation services, may hinder implementation. Thus, the estimated benefits of frailty screening may not be achievable in practice.

Patient frailty predicts worse perioperative outcomes and higher cost after radical cystectomy.

BACKGROUND: Relatively few studies investigated the importance of frailty in radical cystectomy (RC) patients. We tested the ability of frailty, using the Johns Hopkins Adjusted Clinical Groups indicator, to predict early perioperative outcomes after RC. METHODS: RC patients were identified within the National Inpatient Sample database (2000-2015). The effect of frailty, age and Charlson Comorbidity Index were tested in five separate multivariable models predicting: (1) complications, (2) failure to rescue (FTR), (3) in-hospital mortality, (4) length of stay (LOS) and (5) total hospital charges (THCs). All models were weighted and adjusted for clustering, as well as all available patient and hospital characteristics. RESULTS: Of 23,967 RC patients, 5833 (24.3%) were frail, 7721 (32.2%) were aged ≥75 years and 2832 (11.8%) had CCI ≥2. Frailty, age ≥75 years and CCI ≥2 were non-overlapping in 86.3% of the cohort. Any two or three of these features were recorded in 12.4 and 1.3%, respectively. Frailty was an independent predictor of all five examined endpoints and the magnitude of its association was stronger or at least equal than that of age ≥75 years and CCI ≥2. CONCLUSION: Frailty, advanced age and comorbidities represent non-overlapping patients' characteristics. Of those, frailty represents the most consistent and strongest predictor of early adverse outcomes after RC. Ideally, all three indicators should be considered in retrospective, as well as prospective analyses. Pre-surgical recognition of frail patients should be ideally incorporate in clinical practice in order to address these patients to multimodal pre-habilitation programs that may potentially improve the perioperative prognosis.

The proactive elderly care team: dementia screening of over 20 000 patients.

The proactive elderly care team was introduced at Lancashire Teaching Hospitals NHS Foundation Trust in October 2012. This article describes how the team performed over 5 years (up to the end of December 2017). The proactive elderly care team had three broad aims related to all non-elective patients over the age of 75 years who either came to accident and emergency or were admitted into the hospital, irrespective of speciality: To screen all patients over the age of 75 years for delirium and dementia To identify patients over 75 years who were the most frail, and would benefit from a comprehensive geriatric assessment and targeted interventions To reduce length of stay for patients over the age of 75 years without any increase in their readmission rate. Following the introduction of the proactive elderly care team, length of stay and the readmission rate of patients who were seen by the service fell by about 50%. Almost £10 million has been saved and for every £1 invested in the proactive elderly care team service, over £12 was saved.

Preoperative Frailty and Surgical Outcomes Across Diverse Surgical Subspecialties in a Large Health Care System.

BACKGROUND: Frailty is an emerging risk factor for surgical outcomes; however, its application across large populations is not well defined. We hypothesized that frailty affects postoperative outcomes in a large health care system. STUDY DESIGN: Frailty was prospectively measured in elective surgery patients (January 2016 to June 2017) in a health care system (4 hospitals/901 beds). Frailty classifications-low (0), intermediate (1 to 2), high (3 to 5)-were assigned based on the modified Hopkins score. Operations were classified as inpatient (IP) vs outpatient (OP). Outcomes measured (30-day) included major morbidity, discharge location, emergency department (ED) visit, readmission, length of stay (LOS), mortality, and direct-cost/patient. RESULTS: There were 14,530 elective surgery patients (68.1% outpatient, 31.9% inpatient) preoperatively assessed (cardiothoracic 4%, colorectal 4%, general 29%, oral maxillofacial 2%, otolaryngology 8%, plastic surgery 13%, podiatry 6%, surgical oncology 5%, transplant 3%, urology 24%, vascular 2%). High frailty was found in 3.4% of patients (5.3% IP, 2.5% OP). Incidence of major morbidity, readmission, and mortality correlated with frailty classification in all patients (p < 0.05). In the IP cohort, length of stay in days (low 1.6, intermediate 2.3, high 4.1, p < 0.0001) and discharge to facility increased with frailty (p < 0.05). In the OP cohort, ED visits increased with frailty (p < 0.05). Frailty was associated with increased direct-cost in the IP cohort (low, $7,045; intermediate, $7,995; high, $8,599; p < 0.05). CONCLUSIONS: Frailty affects morbidity, mortality, and health care resource use in both IP and OP operations. Additionally, IP cost increased with frailty. The broad applicability of frailty (across surgical specialties) represents an opportunity for risk stratification and patient optimization across a large health care system.

Impact of frailty on short-term outcomes in patients undergoing transsphenoidal pituitary surgery.

OBJECTIVE: Frailty, a state of decreased physiological reserve, has been shown to significantly impact outcomes of surgery. The authors sought to examine the impact of frailty on the short-term outcomes of patients undergoing transsphenoidal pituitary surgery. METHODS: Weighted data from the 2000-2014 National (Nationwide) Inpatient Sample were studied. Patients diagnosed with pituitary tumors or disorders who had undergone transsphenoidal pituitary surgery were identified. Frailty was determined using the Johns Hopkins Adjusted Clinical Groups (ACG) frailty-defining diagnoses indicator. Standard descriptive techniques and matched propensity score analyses were used to explore the odds ratios of postoperative complications, discharge dispositions, and costs. RESULTS: A total of 115,317 cases were included in the analysis. Frailty was present in 1.48% of cases. The mean age of frail versus non-frail patients was 57.14 ± 16.96 years (mean ± standard deviation) versus 51.91 ± 15.88 years, respectively (p < 0.001). A greater proportion of frail compared to non-frail patients had an age ≥ 65 years (37.08% vs 24.08%, respectively, p < 0.001). Frail patients were more likely to be black or Hispanic (p < 0.001), possess Medicare or Medicaid insurance (p < 0.001), belong to lower-median-income groups (p < 0.001), and have greater comorbidity (p < 0.001). Results of propensity score-matched multivariate analysis revealed that frail patients were more likely to develop fluid and electrolyte disorders (OR 1.61, 95% CI 1.07-2.43, p = 0.02), intracranial vascular complications (OR 2.73, 95% CI 1.01-7.49, p = 0.04), mental status changes (OR 3.60, 95% CI 1.65-7.82, p < 0.001), and medical complications including pulmonary insufficiency (OR 2.01, 95% CI 1.13-4.05, p = 0.02) and acute kidney failure (OR 4.70, 95% CI 1.88-11.74, p = 0.01). The mortality rate was higher among frail patients (1.46% vs 0.37%, p < 0.001). Frail patients also demonstrated a greater likelihood for nonroutine discharges (p < 0.001), higher mean total charges ($109,614.33 [95% CI $92,756.09-$126,472.50] vs $56,370.35 [95% CI $55,595.72-$57,144.98], p < 0.001), and longer hospitalizations (9.27 days [95% CI 7.79-10.75] vs 4.46 days [95% CI 4.39-4.53], p < 0.001). CONCLUSIONS: Frailty in patients undergoing transsphenoidal pituitary surgery is associated with worse postoperative outcomes and higher costs, indicating that state's potential role in routine preoperative risk stratification.

Frailty Cost: Economic Impact of Frailty in the Elective Surgical Patient.

BACKGROUND: Frailty in the surgical patient has been associated with increased morbidity, mortality, and failure to rescue. However, there is little understanding of the economic impact of frailty. STUDY DESIGN: A prospective database of elective surgery patients at an academic medical center was used to create a modified version of the Risk Analysis Index (RAI), a validated frailty index. This included 10,257 patients undergoing elective operations from 2016 to 2017. Patients were classified as not frail (RAI = 0), somewhat frail (RAI = 1 to 10), or significantly frail (RAI > 10). Cost, revenue, and income data were procured from the finance department. Univariate and multivariate analyses were performed. RESULTS: Frail patients were more likely to be older (65 years vs 50 years; p < 0.001) and inpatient (19% vs 36%; p < 0.001). General surgical, gynecologic, urologic, and cardiothoracic services operated on a higher percentage of significantly frail patients compared with orthopaedic, neurosurgical, and vascular (p < 0.001). On univariate analysis, frail patients were more likely to die (0% vs 0.4%; p < 0.001) and have increased length of stay (0.8 vs 2.1 days; p < 0.001), higher total cost ($6,934 vs $13,319), and lower net hospital income ($5,447 vs $3,129) (p < 0.001). On multivariate analysis, frailty was independently associated with increased direct cost (odds ratio [OR] 2.2; p < 0.001), indirect cost (OR 1.9; p < 0.001), total cost (OR 2.2; p < 0.001), and net income (OR 0.8; p < 0.001). Stratified by service line and inpatient vs outpatient status, frailty continued to be associated with increased direct cost, indirect cost, total cost, and decreased hospital income. CONCLUSIONS: Although a significant number of data exist on the impact of frailty in the surgical patient, the economic impacts have only limited description in the literature. Here we demonstrate that frailty, independent of age, has a detrimental financial impact on cost and hospital income in elective surgery.

Association between health risks and frailty in relation to the degree of housing damage among elderly survivors of the great East Japan earthquake.

BACKGROUND: Many survivors of the Great East Japan Earthquake that occurred in 2011 were at risk of deteriorating health, especially elderly people living in disaster-stricken areas. The objectives of this prospective study were: a) to clarify the different lifestyle and psychosocial factors associated with frailty by sex among the non-disabled elderly survivors, and b) to describe the differences in characteristics stratified by the degree of disaster-related housing damage. METHODS: We followed 2261 Japanese survivors aged ≥65 years (45.3% male; mean age, 71.7 years) without disability or frailty who completed a self-administered questionnaire at baseline. All participants completed a baseline questionnaire in 2011 and at least one identical follow-up questionnaire between 2012 and 2015 regarding lifestyle (smoking status, alcohol intake, physical activity, sedentary lifestyle, and dietary intake) and psychosocial factors (self-rated health, standard of living, psychological distress, and social networks). Frailty was defined as a score of ≥5 on the Kihon Checklist, which is used by the Japanese government to certify the need for long-term care insurance. Adjusted odds ratios and 95% confidence intervals with frailty as the dichotomous dependent variable and health factors as the independent variables were calculated using a multilevel model for repeated measures by sex, followed by stratification analyses by the degree of housing damage. RESULTS: Over the 4-year study period, 510 participants (22.6%) developed frailty. In the post-disaster setting, many of the psychosocial factors remained more prevalent 4 years later among survivors with extensive housing damage. The presence of risk factors regarding the development of frailty differed by the degree of housing damage. Among men, psychological distress, in parallel with a poor social network, was related to frailty among only the participants with extensive housing damage and those living in temporary housing, whereas among women, worsening psychological distress was associated only with no damage and no displaced survivors. Among women with extensive damage and displacement, health outcomes such as overweight and diabetes and poor social networks were strongly related to frailty. CONCLUSIONS: Lifestyle and psychosocial factors associated with the risk of frailty differ by sex and the degree of housing damage.

Effect of frailty on resource use and cost for Medicare patients.

Aim: The effects of frailty and multiple chronic conditions (MCCs) on cost of care are rarely disentangled in archival data studies. We identify the marginal contribution of frailty to medical care cost estimates using Medicare data. Materials & methods: Use of the Faurot frailty score to identify differences in acute medical events and cost of care for patients, controlling for MCCs and medication use. Results: Estimated marginal cost of frailty was US$10,690 after controlling for demographics, comorbid conditions, polypharmacy and use of potentially inappropriate medications. Conclusion: Frailty contributes greatly to cost of care, but while often correlated, is not synonymous with MCCs. Thus, it is important to control separately for frailty in studies that compare medical care use and cost.

Patient Function and the Value of Surgical Care for Kidney Cancer.

PURPOSE: Frailty and functional status have emerged as significant predictors of morbidity and mortality for patients undergoing cancer surgery. To articulate the impact on value (ie quality per cost), we compared perioperative outcomes and expenditures according to patient function for older adults undergoing kidney cancer surgery. MATERIALS AND METHODS: Using linked SEER (Surveillance, Epidemiology and End Results)-Medicare data, we identified 19,129 elderly patients with kidney cancer treated with nonablative surgery from 2000 to 2009. We quantified patient function using function related indicators (claims indicative of dysfunction and disability) and measured 30-day morbidity, mortality, resource use and cost. Using multivariable, mixed effects models to adjust for patient and hospital characteristics, we estimated the relationship of patient functionality with both treatment outcomes and expenditures. RESULTS: Of 19,129 patients we identified 5,509 (28.8%) and 3,127 (16.4%) with a function related indicator count of 1 and 2 or greater, respectively. While surgical complications did not vary (OR 0.95, 95% CI 0.86-1.05), patients with 2 or more indicators more often experienced a medical event (OR 1.22, 95% CI 1.10-1.36) or a geriatric event (OR 1.55, 95% CI 1.33-1.81), or died within 30 days of surgery (OR 1.43, 95% CI 1.10-1.86) compared with patients with no baseline dysfunction. These patients utilized significantly more medical resources and amassed higher acute care expenditures (p <0.001). CONCLUSIONS: During kidney cancer surgery, patients in poor functional health can face a more eventful medical recovery at elevated cost, indicating lower value care. Greater consideration of frailty and functional status during treatment planning and transitions may represent areas for value enhancement in kidney cancer and urology care.