Does Modality Matter? Palliative Care Unit Associated With More Cost-Avoidance Than Consultations

End of Life Outcomes Following Comfort Care Orders: A Single Center Experience

Background: Few studies have explored the outcomes of patients placed on comfort care with respect to hospice disposition. The objective of this study was to perform a retrospective analysis of patients who transitioned to comfort care. Methods: We conducted a retrospective study of patients placed on the comfort care order set between July 1st, 2021, until June 30th, 2022. Each individual patient chart was then analyzed to collect multiple clinical variables. IRB approval was obtained as per institutional guidelines. Results: 541 patients were included in the analysis. An average of 1.5 patients were placed on comfort care a day. 424 (78.37%) patients died while in the hospital. The median time on comfort care was 1 day. For subspecialty and hospital medicine patients the median time was 2 days. 40% of non-ICU patients were discharged with hospice services. 60% of patients were in the intensive care unit (ICU) and spent a median of 2.33 hours on comfort care. 19% of these patients were on comfort care for over 12 hours. 94% of the patients placed on comfort care in the ICU died in the hospital as compared to 53% of subspecialty and 59% of hospital medicine patients. Conclusions: The majority of patients placed on comfort care died during their hospitalization demonstrating a real need for comprehensive end of life care and immediate hospice services. For those discharged with hospice services, they spent an excessive amount of time in the hospital waiting for services to be arranged.

Healthcare costs of cancer among children, adolescents, and young adults: A scoping review

OBJECTIVE

To collate and critically review international evidence on the direct health system costs of children and adolescents and young adults (AYA) with cancer.

METHODS

We conducted searches in PubMed, MEDLINE, CINAHL, and Scopus. Articles were limited to studies involving people aged 0-39 years at cancer diagnosis and published from 2012 to 2022. Two reviewers screened the articles and evaluated the studies using the Consolidated Health Economic Evaluation Reporting Standards checklist. The reviewers synthesized the findings using a narrative approach and presented the costs in 2022 US dollars for comparability.

RESULTS

Overall, the mean healthcare costs for all cancers in the 5 years post diagnosis ranged from US$36,670 among children in Korea to US$127,946 among AYA in the USA. During the first year, the mean costs among children 0-14 years ranged from US$34,953 in Chile to over US$130,000 in Canada. These were higher than the costs for AYA, estimated at US$61,855 in Canada. At the end of life, the mean costs were estimated at over US$300,000 among children and US$235,265 among adolescents in Canada. Leukemia was the most expensive cancer type, estimated at US$50,133 in Chile, to US$152,533 among children in Canada. Overall, more than a third of the total cost is related to hospitalizations. All the included studies were of good quality.

CONCLUSIONS

Healthcare costs associated with cancer are substantial among children, and AYA. More research is needed on the cost of cancer in low- and middle-income countries and harmonization of costs across countries.

Association Between Opening a Palliative Care Unit and Hospital Care for Patients With Serious Illness

Background: Palliative care units (PCUs) are devoted to intensive management of symptoms and other palliative care needs. We examined the association between opening a PCU and acute care processes at a single U.S. academic medical center. Methods: We retrospectively compared acute care processes for seriously ill patients admitted before and after the opening of a PCU at a single academic medical center. Outcomes included rates of change in code status to do-not-resuscitate (DNR) and comfort measures only (CMO) status, and time to DNR and CMO. We calculated unadjusted and adjusted rates and used logistic regression to assess interaction between care period and palliative care consultation. Results: There were 16,611 patients in the pre-PCU period and 18,305 patients in the post-PCU period. The post-PCU cohort was slightly older, with a higher Charlson index (p < 0.001 for both). Post-PCU, unadjusted rates of DNR and CMO increased from 16.4% to 18.3% (p < 0.001) and 9.3% to 11.5% (p < 0.001), respectively. Post-PCU, median time to DNR was unchanged (0 days), and time to CMO decreased from 6 to 5 days. The adjusted odds ratio was 1.08 (p = 0.01) for DNR and 1.19 (p < 0.001) for CMO. Significant interaction between care period and palliative care consultation for DNR (p = 0.04) and CMO (p = 0.01) suggests an important role for palliative care engagement. Conclusions: The opening of a PCU at a single center was associated with increased rates of DNR and CMO status for seriously ill patients.

A review of the use of propensity score methods with multiple treatment groups in the general internal medicine literature

BACKGROUND

Propensity score (PS) methods with two treatment groups (e.g., treated vs. control) is a well-established technique for reducing the effects of confounding in nonrandomized studies. However, researchers are often interested in comparing multiple interventions. PS methods have been modified to incorporate multiple exposures. We described available techniques for PS methods in multicategory exposures (≥3 groups) and examined their use in the medical literature.

METHODS

A comprehensive search was conducted for studies published in PubMed, Embase, Google Scholar, and Web of Science until February 27, 2023. We included studies using PS methods for multiple groups in general internal medicine research.

RESULTS

The literature search yielded 4088 studies (2616 from PubMed, 86 from Embase, 85 from Google Scholar, 1671 from Web of Science, five from other sources). In total, 264 studies using PS method for multiple groups were identified; 61 studies were on general internal medicine topics and included. The most commonly used method was that of McCaffrey et al., which was used in 26 studies (43%), where the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) method and corresponding inverse probabilities of treatment weights were estimated via generalized boosted models. The next most commonly used method was pairwise propensity-matched comparisons, which was used in 20 studies (33%). The method by Imbens et al. using a generalized propensity score was implemented in six studies (10%). Four studies (7%) used a conditional probability of being in a particular group given a set of observed baseline covariates where a multiple propensity score was estimated using a non-parsimonious multinomial logistic regression model. Four studies (7%) used a technique that estimates generalized propensity scores and then creates 1:1:1 matched sets, and one study (2%) used the matching weight method.

CONCLUSIONS

Many propensity score methods for multiple groups have been adopted in the literature. The TWANG method is the most commonly used method in the general medical literature.

Comparison of direct medical care costs between patients receiving care in a designated palliative care unit and the usual care units

AIM

The need for palliative services is increasing throughout Thailand. A few palliative care units have been established in the nation so far. An economic evaluation of palliative care units has never been explored. This study compared between the medical costs of terminally ill patients receiving palliative care in a palliative care unit and the usual care units during their final admissions.

METHODS

This study was a retrospective observational study comparing the costs of care for patients who died in a tertiary hospital. The study group comprised patients who died in a palliative care unit, then matched with deceased patients from other units by diagnosis-related groups. Patients not indicating of having received palliative care in the medical records were excluded. The direct medical costs of the patients' care and their data were collected from the finance department database and by medical chart review. Data were entered into the SPSS statistical database. The costs of the control group were calculated from the day when palliative care was initiated RESULTS: The total cost of care was significantly lower in the palliative care unit by 45 percent. The cost reduction notably was from the shorter length of stay and lower expenditure on medication and investigations in the palliative care unit. The utilization of aggressive treatment was higher in the usual units.

CONCLUSIONS

The palliative care unit was associated with cost savings in caring for terminally ill patients in a tertiary hospital in Thailand.

Using predicted length of stay to define treatment and model costs in hospitalized adults with serious illness: an evaluation of palliative care

BACKGROUND

Economic research on hospital palliative care faces major challenges. Observational studies using routine data encounter difficulties because treatment timing is not under investigator control and unobserved patient complexity is endemic. An individual's predicted LOS at admission offers potential advantages in this context.

METHODS

We conducted a retrospective cohort study on adults admitted to a large cancer center in the United States between 2009 and 2015. We defined a derivation sample to estimate predicted LOS using baseline factors (N = 16,425) and an analytic sample for our primary analyses (N = 2674) based on diagnosis of a terminal illness and high risk of hospital mortality. We modelled our treatment variable according to the timing of first palliative care interaction as a function of predicted LOS, and we employed predicted LOS as an additional covariate in regression as a proxy for complexity alongside diagnosis and comorbidity index. We evaluated models based on predictive accuracy in and out of sample, on Akaike and Bayesian Information Criteria, and precision of treatment effect estimate.

RESULTS

Our approach using an additional covariate yielded major improvement in model accuracy: R² increased from 0.14 to 0.23, and model performance also improved on predictive accuracy and information criteria. Treatment effect estimates and conclusions were unaffected. Our approach with respect to treatment variable yielded no substantial improvements in model performance, but post hoc analyses show an association between treatment effect estimate and estimated LOS at baseline.

CONCLUSION

Allocation of scarce palliative care capacity and value-based reimbursement models should take into consideration when and for whom the intervention has the largest impact on treatment choices. An individual's predicted LOS at baseline is useful in this context for accurately predicting costs, and potentially has further benefits in modelling treatment effects.

Delivery of Palliative Care in Acute Care Hospitals: A Population-Based Retrospective Cohort Study Describing the Level of Involvement and Timing of Inpatient Palliative Care in the Last Year of Life

Background: Much end-of-life care is provided in hospital, yet little is known about the delivery of palliative care during end-of-life hospitalizations. Objectives: To characterize the level of palliative care involvement across hospitalizations in the last year of life. Methods: A population-based retrospective cohort study of adults in Ontario, Canada, who died between April 1, 2012, and March 31, 2017, and had at least one acute care hospitalization in their last year of life. Using linked administrative health data, we developed a hierarchy of inpatient palliative care involvement reflecting the degree to which care was delivered with palliative intent. This hierarchy was based on palliative care diagnosis and service provider codes on hospitalization records and physician claims. We examined variations in the level of palliative care involvement across key patient characteristics. Results: In the last year of life, 65.1% of hospitalizations had no indication of palliative care involvement, 16.7% had a low level of involvement, 13.5% had a medium level of involvement, and 4.7% had a high level of involvement. Most hospitalizations with palliative care involvement (85.6%) occurred in the two months before death. Compared to patients who received no inpatient palliative care, patients who received a high level of palliative care involvement tended to be younger, died of cancer, resided in urban or lower income neighborhoods, and had fewer chronic conditions. Discussion: While many hospitalizations occurred in the last year of life, the majority did not involve palliative care, and very few had a high level of palliative care involvement.

A supportive care dedicated hospitalization ward in comprehensive cancer center

INTRODUCTION

Supportive care development has created new needs in patients' care pathway. In order to anticipate, evaluate, and take care of patients' needs, a supportive care dedicated hospitalization ward was created in late 2016 in our comprehensive cancer center, including 15 beds (11 for week care and 4 for day care). We aimed to assess the activity of this supportive care ward in 2018.

METHODS

Data were extracted from weekly activity reports of supportive care ward and retrospectively analyzed. Those reports are automatically generated from hospitalization scheduling software.

RESULTS

In week care ward, 627 stays were recorded. Occupancy rate was 88%. Mean stay duration was 3.01 days. Main indications for week stay were pain evaluation and management (47.4%) and nutritional management (31.7%). In day care ward, 1191 stays were registered. Turnover rate was 1.18 patients/bed/day. Main indications for day stay were pain management (41.6%) and comprehensive geriatric assessment in oncology (22.8%).

CONCLUSION

The 2018 supportive care ward evaluation showed its viability in comprehensive cancer center. The main activity was based on pain and nutritional management.

The effect of different classification of hospitals on medical expenditure from perspective of classification of hospitals framework: evidence from China

Background

Different classification of hospitals (COH) have an important impact on medical expenditures in China. The objective of this study is to examine the impact of COH on medical expenditures with the hope of providing insights into appropriate care and resource allocation.

Methods

From the perspective of COH framework, using the Urban Employee Basic Medical Insurance (UEBMI) data of Chengdu City from 2011 to 2015, with sample size of 488,623 hospitalized patients, our study empirically analyzed the effect of COH on medical expenditure by multivariate regression modeling.

Results

The average medical expenditure was 5468.86 Yuan (CNY), the average expenditure of drug, diagnostic testing, medical consumables, nursing care, bed, surgery and blood expenditures were 1980.06 Yuan (CNY), 1536.27 Yuan (CNY), 500.01 Yuan (CNY), 166.23 Yuan (CNY), 221.98 Yuan (CNY), 983.18 Yuan (CNY) and 1733.21 Yuan (CNY) respectively. Patients included in the analysis were mainly elderly, with an average age of 86.65 years old. Female and male gender were split evenly. The influence of COH on total medical expenditures was significantly negative (p < 0.001). The reimbursement ratio of UEBMI had a significantly positive (p < 0.001) effect on various types of medical expenditures, indicating that the higher the reimbursement ratio was, the higher the medical expenditures would be.

Conclusions

COH influenced medical expenditures significantly. In consideration of reducing medical expenditures, the government should not only start from the supply side of healthcare services, but also focus on addressing the demand side.

Which Cost Components Influence the Cost of Palliative Care in the Last Hospitalization? A Retrospective Analysis of Palliative Care Versus Usual Care at a Swiss University Hospital

CONTEXT

Although the number of studies on the economic impact of palliative care (PC) is growing, the great majority report costs from North America.

OBJECTIVES

We aimed to provide a comprehensive overview of PC hospital cost components from the perspective of a European mixed funded health care system by identifying cost drivers of PC and quantifying their effect on hospital costs compared to usual care (UC).

METHODS

We performed a retrospective, observational analysis examining cost data from the last hospitalization of patients who died at a large academic hospital in Switzerland comparing patients receiving PC vs. UC.

RESULTS

Total hospital costs were similar in PC and UC with a mean difference of CHF -2777 [95% CI -12,713 to 8506, P = 0.60]. Average costs per day decreased by CHF -3224 [95% CI -3811 to -2631, P < 0.001] for PC patients with significant reduction of costs for diagnostic intervention and medication. Higher cost components for PC patients were catering, room, nursing, social counseling, and nonmedical therapists. In sensitivity analyses, when we restricted PC exposure to three days from admission, total costs and average costs per day were significantly lower for PC.

CONCLUSION

Studies measuring the impact of PC on hospital costs should analyze various cost components beyond total costs to understand wanted and potentially unwanted cost-reducing effects. An international definition of a set of cost components, specific for cost-impact PC studies, may help avoid superficial and potentially dangerous cost discussions.

The association between palliative care team consultation and hospital costs for patients with advanced cancer: An observational study in 12 Dutch hospitals

BACKGROUND

Early palliative care team consultation has been shown to reduce costs of hospital care. The objective of this study was to investigate the association between palliative care team (PCT) consultation and the content and costs of hospital care in patients with advanced cancer.

MATERIAL AND METHODS

A prospective, observational study was conducted in 12 Dutch hospitals. Patients with advanced cancer and an estimated life expectancy of less than 1 year were included. We compared hospital care during 3 months of follow-up for patients with and without PCT involvement. Propensity score matching was used to estimate the effect of PCTs on costs of hospital care. Additionally, gamma regression models were estimated to assess predictors of hospital costs.

RESULTS

We included 535 patients of whom 126 received PCT consultation. Patients with PCT had a worse life expectancy (life expectancy <3 months: 62% vs. 31%, p < .01) and performance status (p < .01, e.g., WHO status higher than 2:54% vs. 28%) and more often had no more options for anti-tumour therapy (57% vs. 30%, p < .01). Hospital length of stay, use of most diagnostic procedures, medication and other therapeutic interventions were similar. The total mean hospital costs were €8,393 for patients with and €8,631 for patients without PCT consultation. Analyses using propensity scores to control for observed confounding showed no significant difference in hospital costs.

CONCLUSIONS

PCT consultation for patients with cancer in Dutch hospitals often occurs late in the patients' disease trajectories, which might explain why we found no effect of PCT consultation on costs of hospital care. Earlier consultation could be beneficial to patients and reduce costs of care.

Economic Analysis of Hospital Palliative Care: Investigating Heterogeneity by Noncancer Diagnoses

Background. Single-disease-focused treatment and hospital-centric care are poorly suited to meet complex needs in an era of multimorbidity. Understanding variation in palliative care’s association with treatment choices is essential to optimizing interdisciplinary decision making in care of complex patients. Aim. To estimate the association between palliative care and hospital costs by primary diagnosis and multimorbidity for adults with one of six life-limiting conditions: heart failure, chronic obstructive pulmonary disease (COPD), liver failure, kidney failure, neurodegenerative conditions including dementia, and HIV/AIDS. Methods. Data from four studies (2002–2015) were pooled to provide an analytic dataset of 73,304 participants with mean costs $10,483, of whom 5,348 (7%) received palliative care. We estimated average effect of palliative care on direct hospital costs among the treated, using propensity scores to control for observed confounding. Results. Palliative care was associated with a statistically significant reduction in total direct costs for heart failure (estimated treatment effect: −$2666; 95% confidence interval [CI]: −$3440 to −$1892), neurodegenerative conditions (−$3523; −$4394 to −$2651), COPD (−$1613; −$2217 to −$1009), kidney failure (−$3589; −$5132 to −$2045), and liver failure (−$7574; −$9232 to −$5916). The association for liver failure patients was statistically significantly larger than for any other disease group. Cost-saving associations were also statistically larger for patients with multimorbidity than single disease for two of the six groups: neurodegenerative and liver failure. Conclusions. Heterogeneity in treatment effect estimates was observable in assessing association between palliative care and hospital costs for adults with serious life-limiting illnesses other than cancer. The results illustrate the importance of careful definition of palliative care populations in research and practice, and raise further questions about the role of interdisciplinary decision making in treatment of complex medical illness.

Which Reimbursement System Fits Inpatient Palliative Care? A Qualitative Interview Study on Clinicians' and Financing Experts' Experiences and Views

Context: Internationally, a variety of reimbursement systems exists for palliative care (PC). In Germany, PC units (PCUs) may choose between per-diem rates and diagnosis-related groups (DRGs). Both systems are controversially discussed. Objectives: To explore the experiences and views of German PCU clinicians and experts for PCU financing regarding per-diem rates and DRGs as reimbursement systems with a focus on (1) cost coverage, (2) strengths and weaknesses of both financing systems, and (3) options for further development of funding PCUs. Design: Qualitative semistructured interviews with PCU clinicians and experts for PCU financing, analyzed by thematic analysis using the Framework approach. Setting/Subjects/Measurements: Ten clinicians and 13 experts for financing were interviewed June-October 2015 on both reimbursement systems for PCU. Results: Interviewees had divergent experiences with both reimbursement systems regarding cost coverage. A described strength of per-diem rates was the perceived possibility of individual care without direct financial pressure. The nationwide variation of per-diem rates and the lack of quality standards were named as weaknesses. DRGs were criticized for incentives perceived as perverse and inadequate representation of PC-specific procedures. However, the quality standards for PCUs required within the German DRG system were described as important strength. Suggestions for improvement of the funding system pointed toward a combination of per-diem rates with a grading according to disease severity/complexity of care. Conclusions: Expert opinions suggest that neither current DRGs nor per-diem rates are ideal for funding of PCUs. Suggested improvements regarding adequate funding of PCUs resemble and supplement international developments.

Understanding the Organization of Hospital-Based Palliative Care in a Nigerian Hospital: An Ethnographic Study

Context

Organization and delivery of palliative care (PC) services vary from one country to another. In Nigeria, PC has continued to develop, yet the organization and scope of PC is not widely known by most clinicians and the public.

Objectives

The aim of the study is to identify PC services available in a Nigerian Hospital and how they are organized.

Methods

This ethnographic study, utilized documentary analysis, participant observation, and ethnographic interviews (causal chat during observation and individual interviews) to gather data from members of PC team comprising doctors (n = 10), nurses (n = 4), medical social workers (n = 2), a physiotherapist, and a pharmacist, as well nurses from the oncology department (n = 3). Data were analyzed using Spradley's framework for ethnographic data analysis.

Results

PC was found to be largely adult patient-centered. A hospital-based care delivery model, in the forms of family meetings, in- and out-patients' consultation services, and a home-based delivery model which is primarily home visits conducted once in a week, were the two models of care available in the studied hospital. The members of the PC team operated two shift patterns from 7:00 am to 2.00 pm and a late shift from 2:00 pm to 7:00 pm instead of 24 h service provision.

Conclusions

Although PC in this hospital has made significant developmental progress, the organization and scope of services are suggestive of the need for more development, especially in manpower and collaborative care. This study provided knowledge that could be used to improve the clinical practice of PC in various cross-cultural Nigerian societies and other African context, as well as revealing areas for PC development.

Evaluating Hospital Readmissions for Persons With Serious and Complex Illness: A Competing Risks Approach

Hospital readmission rate is a ubiquitous measure of efficiency and quality. Individuals with life-limiting illnesses account heavily for admissions but evaluation is complicated by high-mortality rates. We report a retrospective cohort study examining the association between palliative care (PC) and readmissions while controlling for postdischarge mortality with a competing risks approach. Eligible participants were adult inpatients admitted to an academic, safety-net medical center (2009-2015) with at least one diagnosis of cancer, heart failure, chronic obstructive pulmonary disease, liver failure, kidney failure, AIDS/HIV, and selected neurodegenerative conditions. PC was associated with reduced 30-, 60-, and 90-day readmissions (subhazard ratios = 0.57, 0.53, and 0.52, respectively [all p < .001]). Hospital PC is associated with a reduction in readmissions, and this is not explained by higher mortality among PC patients. Performance measures only counting those alive at a given end point may underestimate systematically the effects of treatments with a high-mortality rate.

Economics of Palliative Care for Hospitalized Adults With Serious Illness: A Meta-analysis

IMPORTANCE

Economics of care for adults with serious illness is a policy priority worldwide. Palliative care may lower costs for hospitalized adults, but the evidence has important limitations.

OBJECTIVE

To estimate the association of palliative care consultation (PCC) with direct hospital costs for adults with serious illness.

DATA SOURCES

Systematic searches of the Embase, PsycINFO, CENTRAL, PubMed, CINAHL, and EconLit databases were performed for English-language journal articles using keywords in the domains of palliative care (eg, palliative, terminal) and economics (eg, cost, utilization), with limiters for hospital and consultation. For Embase, PsycINFO, and CENTRAL, we searched without a time limitation. For PubMed, CINAHL, and EconLit, we searched for articles published after August 1, 2013. Data analysis was performed from April 8, 2017, to September 16, 2017.

STUDY SELECTION

Economic evaluations of interdisciplinary PCC for hospitalized adults with at least 1 of 7 illnesses (cancer; heart, liver, or kidney failure; chronic obstructive pulmonary disease; AIDS/HIV; or selected neurodegenerative conditions) in the hospital inpatient setting vs usual care only, controlling for a minimum list of confounders.

DATA EXTRACTION AND SYNTHESIS

Eight eligible studies were identified, all cohort studies, of which 6 provided sufficient information for inclusion. The study estimated the association of PCC within 3 days of admission with direct hospital costs for each sample and for subsamples defined by primary diagnoses and number of comorbidities at admission, controlling for confounding with an instrumental variable when available and otherwise propensity score weighting. Treatment effect estimates were pooled in the meta-analysis.

MAIN OUTCOMES AND MEASURES

Total direct hospital costs.

RESULTS

This study included 6 samples with a total 133 118 patients (range, 1020-82 273), of whom 93.2% were discharged alive (range, 89.0%-98.4%), 40.8% had a primary diagnosis of cancer (range, 15.7%-100.0%), and 3.6% received a PCC (range, 2.2%-22.3%). Mean Elixhauser index scores ranged from 2.2 to 3.5 among the studies. When patients were pooled irrespective of diagnosis, there was a statistically significant reduction in costs (-$3237; 95% CI, -$3581 to -$2893; P < .001). In the stratified analyses, there was a reduction in costs for the cancer (-$4251; 95% CI, -$4664 to -$3837; P < .001) and noncancer (-$2105; 95% CI, -$2698 to -$1511; P < .001) subsamples. The reduction in cost was greater in those with 4 or more comorbidities than for those with 2 or fewer.

CONCLUSIONS AND RELEVANCE

The estimated association of early hospital PCC with hospital costs may vary according to baseline clinical factors. Estimates may be larger for primary diagnosis of cancer and more comorbidities compared with primary diagnosis of noncancer and fewer comorbidities. Increasing palliative care capacity to meet national guidelines may reduce costs for hospitalized adults with serious and complex illnesses.

A Palliative Radiation Oncology Consult Service Reduces Total Costs During Hospitalization

CONTEXT

Palliative radiation therapy (PRT) is a highly effective treatment in alleviating symptoms from bone metastases; however, currently used standard fractionation schedules can lead to costly care, especially when patients are treated in an inpatient setting. The Palliative Radiation Oncology Consult (PROC) service was developed in 2013 to improve appropriateness, timeliness, and care value from PRT.

OBJECTIVES

Our primary objective was to compare total costs among two cohorts of inpatients with bone metastases treated with PRT before, or after, PROC establishment. Secondarily, we evaluated drivers of cost savings including hospital length of stay, utilization of specialty-care palliative services, and PRT schedules.

METHODS

Patients were included in our observational cohort study if they received PRT for bone metastases at a single tertiary care hospital from 2010 to 2016. We compared total costs and length of stay using propensity score-adjusted analyses. Palliative care utilization and PRT schedules were compared by χ² and Mann-Whitney U tests.

RESULTS

We identified 181 inpatients, 76 treated before and 105 treated after PROC. Median total hospitalization cost was $76,792 (range $6380-$346,296) for patients treated before PROC and $50,582 (range $7585-$620,943) for patients treated after PROC. This amounted to an average savings of $20,719 in total hospitalization costs (95% CI [$3687, $37,750]). In addition, PROC was associated with shorter PRT schedules, increased palliative care utilization, and an 8.5 days reduction in hospital stay (95% CI [3.2,14]).

CONCLUSION

The PROC service, a radiation oncology model integrating palliative care practice, was associated with cost-savings, shorter treatment courses and hospitalizations, and increased palliative care.

Redefining diagnosis-related groups (DRGs) for palliative care - a cross-sectional study in two German centres

BACKGROUND

Hospital costs and cost drivers in palliative care are poorly analysed. It remains unknown whether current German Diagnosis-Related Groups, mainly relying on main diagnosis or procedure, reproduce costs adequately. The aim of this study was therefore to analyse costs and reimbursement for inpatient palliative care and to identify relevant cost drivers.

METHODS

Two-center, standardised micro-costing approach with patient-level cost calculations and analysis of the reimbursement situation for patients receiving palliative care at two German hospitals (7/2012-12/2013). Data were analysed for the total group receiving hospital care covering, but not exclusively, palliative care (group A) and the subgroup receiving palliative care only (group B). Patient and care characteristics predictive of inpatient costs of palliative care were derived by generalised linear models and investigated by classification and regression tree analysis.

RESULTS

Between 7/2012 and 12/2013, 2151 patients received care in the two hospitals including, but not exclusively, on the PCUs (group A). In 2013, 784 patients received care on the two PCUs only (group B). Mean total costs per case were € 7392 (SD 7897) (group A) and € 5763 (SD 3664) (group B), mean total reimbursement per case € 5155 (SD 6347) (group A) and € 4278 (SD 2194) (group B). For group A/B on the ward, 58%/67% of the overall costs and 48%/53%, 65%/82% and 64%/72% of costs for nursing, physicians and infrastructure were reimbursed, respectively. Main diagnosis did not significantly influence costs. However, duration of palliative care and total length of stay were (related to the cost calculation method) identified as significant cost drivers.

CONCLUSIONS

Related to the cost calculation method, total length of stay and duration of palliative care were identified as significant cost drivers. In contrast, main diagnosis did not reflect costs. In addition, results show that reimbursement within the German Diagnosis-Related Groups system does not reproduce the costs adequately, but causes a financing gap for inpatient palliative care.

Aligning policy objectives and payment design in palliative care

BACKGROUND

Payment models for palliative care vary across nations, with few adopting contemporary payments designs that apply to other parts of the health system.

AIM

To propose optimal payment arrangements for palliative care.

APPROACH

Review of relevant literature on funding mechanisms in health care generally and palliative care in particular.

RESULTS

Payment models for palliative care should move toward activity-based funding using an agreed classification, be uncapped funding with performance monitoring, and make explicit use of performance metrics and reporting.

CONCLUSIONS

If palliative care is to become a universally accessible service, new approaches to funding, based on the experience of funding reforms in other parts of the health system, need to be adopted.