A pilot study on patient-related costs and factors associated with the cost of specialist palliative care in the hospital: first steps towards a patient classification system in Germany

The impact of the COVID-19 pandemic on processes, resource use and cost in palliative care

BACKGROUND

The COVID-19 pandemic impacts on working routines and workload of palliative care (PC) teams but information is lacking how resource use and associated hospital costs for PC changed at patient-level during the pandemic. We aim to describe differences in patient characteristics, care processes and resource use in specialist PC (PC unit and PC advisory team) in a university hospital before and during the first pandemic year.

METHODS

Retrospective, cross-sectional study using routine data of all patients cared for in a PC unit and a PC advisory team during 10-12/2019 and 10-12/2020. Data included patient characteristics (age, sex, cancer/non-cancer, symptom/problem burden using Integrated Palliative Care Outcome Scale (IPOS)), information on care episode, and labour time calculated in care minutes. Cost calculation with combined top-down bottom-up approach with hospital's cost data from 2019. Descriptive statistics and comparisons between groups using parametric and non-parametric tests.

RESULTS

Inclusion of 55/76 patient episodes in 2019/2020 from the PC unit and 135/120 episodes from the PC advisory team, respectively. IPOS scores were lower in 2020 (PCU: 2.0 points; PC advisory team: 3.0 points). The number of completed assessments differed considerably between years (PCU: episode beginning 30.9%/54.0% in 2019/2020; PC advisory team: 47.4%/40.0%). Care episodes were by one day shorter in 2020 in the PC advisory team. Only slight non-significant differences were observed regarding total minutes/day and patient (PCU: 150.0/141.1 min., PC advisory team: 54.2/66.9 min.). Staff minutes showed a significant decrease in minutes spent in direct contact with relatives (PCU: 13.9/7.3 min/day in 2019/2020, PC advisory team: 5.0/3.5 min/day). Costs per patient/day decreased significantly in 2020 compared to 2019 on the PCU (1075 Euro/944 Euro for 2019/2020) and increased significantly for the PC advisory team (161 Euro/200 Euro for 2019/2020). Overhead costs accounted for more than two thirds of total costs. Direct patient cost differed only slightly (PCU: 134.7 Euro/131.1 Euro in 2019/2020, PC advisory team: 54.4 Euro/57.3 Euro).

CONCLUSIONS

The pandemic partially impacted on daily work routines, especially on time spent with relatives and palliative care problem assessments. Care processes and quality of care might vary and have different outcomes during a crisis such as the COVID-19 pandemic. Direct costs per patient/day were comparable, regardless of the pandemic.

Cost and reimbursement analysis of end-of-life cancer inpatients. The case of the Greek public healthcare sector

BACKGROUND

While hospital-based Palliative Care services are usually covered through the main funding healthcare framework, traditional reimbursement methods have been criticized for their appropriateness. The present study investigates for the first time the case of treating end-of-life cancer patients in a Greek public hospital in terms of cost and reimbursement.

METHODS

This retrospective observational study used health administrative data of 135 deceased cancer patients who were hospitalized in the end of their lives. Following the cost estimation procedure, which indentified both the individual patient and overhead costs, we compared the relevant billing data and reimbursement requests to the estimated costs.

RESULTS

The average total cost per patient per day was calculated to be 97 EUR, with equal participation of individual patient's and overhead costs. Length of stay was identified as the main cost driver. Reimbursement was performed either by per-diem fees or by Diagnosis Related Groups' (DRGs), which were correspondingly associated with under or over reimbursement risks. In the case of the combined use of the two available reimbursement alternatives a cross-subsidization phenomenon was described.

CONCLUSION

Although the cost of end-of-life care proved to be quite low, the national per-diem rate fails to cover it. DRGs designed for acute care needs are rather unsuitable for such sub acute hospitalizations.

POLICY SUMMARY

There is a concrete need for reconsidering the current reimbursement schemes for this group of patients as part of any national plan concerning the integration and reformation of Palliative Care services. Otherwise, there is a serious danger for public institutions' reluctance to admit them with a serious impact on access and equity of end-of-life cancer care.

Cost-saving prediction model of transfer to palliative care for terminal cancer patients in a Japanese general hospital

BACKGROUND

Although medical costs need to be controlled, there are no easily applicable cost prediction models of transfer to palliative care (PC) for terminal cancer patients.

OBJECTIVE

Construct a cost-saving prediction model based on terminal cancer patients' data at hospital admission.

STUDY DESIGN

Retrospective cohort study.

SETTING

A Japanese general hospital.

PATIENTS

A total of 139 stage IV cancer patients transferred to PC, who died during hospitalization from April 2014 to March 2019.

MAIN OUTCOME MEASURE

Patients were divided into higher (59) and lower (80) total medical costs per day after transfer to PC. We compared demographics, cancer type, medical history, and laboratory results between the groups. Stepwise logistic regression analysis was used for model development and area under the curve (AUC) calculation.

RESULTS

A cost-saving prediction model (AUC = 0.78, 95% CI: 0.70, 0.85) with a total score of 13 points was constructed as follows: 2 points each for age ≤ 74 years, creatinine ≥ 0.68 mg/dL, and lactate dehydrogenase ≤ 188 IU/L; 3 points for hemoglobin ≤ 8.8 g/dL; and 4 points for potassium ≤ 3.3 mEq/L.

CONCLUSION

Our model contains five predictors easily available in clinical settings and exhibited good predictive ability.

Assessing the Costs of Home Palliative Care in Italy: Results for a Demetra Multicentre Study

Background: The sustainability of palliative care services is nowadays crucial inasmuch as resources for palliative care are internationally scarce, the funding environment is competitive, and the potential population is growing. Methods: The DEMETRA study is a multicentre prospective observational study, describing the intensity of care and the related costs of palliative home care pathways. Results: 475 patients were enrolled as recipients of specialized palliative home care. The majority of recipients were cancer patients (89.4%). The mean duration of palliative care pathways was 46.6 days and mean home care intensity coefficient equal to 0.6. The average daily cost of the model with the reference variables is 96.26 euros. Factors statistically significantly associated with an increase in mean daily costs were greater dependence and extreme frailty (p < 0.05). Otherwise, a longer duration of treatment course was associated with a significant decrease in mean daily costs (p < 0.001). Conclusions: In terms of clinical and organizational management, considering the close association with the intensity and cost of the path, frailty should be systematically assessed by all facilities that potentially refer patients to home palliative care teams, and it should be carefully recorded in a standardized payment rate perspective.

COMPANION: development of a patient-centred complexity and casemix classification for adult palliative care patients based on needs and resource use - a protocol for a cross-sectional multi-centre study

Background

A casemix classification based on patients’ needs can serve to better describe the patient group in palliative care and thus help to develop adequate future care structures and enable national benchmarking and quality control. However, in Germany, there is no such an evidence-based system to differentiate the complexity of patients’ needs in palliative care. Therefore, the study aims to develop a patient-oriented, nationally applicable complexity and casemix classification for adult palliative care patients in Germany.

Methods

COMPANION is a mixed-methods study with data derived from three subprojects. Subproject 1: Prospective, cross-sectional multi-centre study collecting data on patients’ needs which reflect the complexity of the respective patient situation, as well as data on resources that are required to meet these needs in specialist palliative care units, palliative care advisory teams, and specialist palliative home care. Subproject 2: Qualitative study including the development of a literature-based preliminary list of characteristics, expert interviews, and a focus group to develop a taxonomy for specialist palliative care models. Subproject 3: Multi-centre costing study based on resource data from subproject 1 and data of study centres. Data and results from the three subprojects will inform each other and form the basis for the development of the casemix classification. Ultimately, the casemix classification will be developed by applying Classification and Regression Tree (CART) analyses using patient and complexity data from subproject 1 and patient-related cost data from subproject 3.

Discussion

This is the first multi-centre costing study that integrates the structure and process characteristics of different palliative care settings in Germany with individual patient care. The mixed methods design and variety of included data allow for the development of a casemix classification that reflect on the complexity of the research subject. The consecutive inclusion of all patients cared for in participating study centres within the time of data collection allows for a comprehensive description of palliative care patients and their needs. A limiting factor is that data will be collected at least partly during the COVID-19 pandemic and potential impact of the pandemic on health care and the research topic cannot be excluded.

Trial registration

German Register for Clinical Studies trial registration number: DRKS00020517.

Variability drivers of treatment costs in hospitals: A systematic review

OBJECTIVES

Studies on variability drivers of treatment costs in hospitals can provide the necessary information for policymakers and healthcare providers seeking to redesign reimbursement schemes and improve the outcomes-over-cost ratio, respectively. This systematic literature review, focusing on the hospital perspective, provides an overview of studies focusing on variability in treatment cost, an outline of their study characteristics and cost drivers, and suggestions on future research methodology.

METHODS

We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Cochrane Handbook for Systematic Reviews of Interventions. We searched PubMED/MEDLINE, Web of Science, EMBASE, Scopus, CINAHL, Science direct, OvidSP and Cochrane library. Two investigators extracted and appraised data for citation until October 2020.

RESULTS

90 eligible articles were included. Patient, treatment and disease characteristics and, to a lesser extent, outcome and institutional characteristics were identified as significant variables explaining cost variability. In one-third of the studies, the costing method was classified as unclear due to the limited explanation provided by the authors.

CONCLUSION

Various patient, treatment and disease characteristics were identified to explain hospital cost variability. The limited transparency on how hospital costs are defined is a remarkable observation for studies wherein cost variability is the main focus. Recommendations relating to variables, costs, and statistical methods to consider when designing and conducting cost variability studies were provided.

Factors Associated with the Costs of Palliative Care: A Retrospective Cost Analysis at a University Cancer Hospital in Brazil

Background: There have been few studies evaluating the costs of palliative care (PC) in low- and middle-income countries (LMICs), especially for patients with cancer. Objectives: The objective of this study was to identify the sociodemographic and clinical variables that could explain the cost per day of PC for cancer in Brazil. Methods: This was a retrospective cost analysis of PC at a quaternary cancer center in São Paulo, Brazil, between January 2010 and December 2013. Factors influencing the cost per day were assessed with generalized linear models and generalized linear-mixed models in which the random effect was the site of the cancer. Results: The study included 2985 patients. The mean total cost per patient was $12,335 (standard deviation [SD] = 14,602; 95% confidence interval [CI] = 11,803 to 12,851). The mean cost per day per patient was $325.50 (SD = 246.30, 95% CI = 316.60 to 334.30). There were statistically significant differences among cancer sites in terms of the mean cost per day. Multivariate analysis revealed that the drivers of cost per day were Karnofsky performance status, the number of hospital admissions, referral to PC, and place of death. Place of death had the greatest impact on the cost per day; death in a hospital and in hospice care increased the mean cost per day by $1.56 and $1.83, respectively. Conclusion: To allocate resources effectively, PC centers in LMICs should emphasize early enrollment of patients at PC outpatient clinics, to avoid hospital readmission, as well as advance planning of the place of death.

Impact, challenges and limits of inpatient palliative care consultations - perspectives of requesting and conducting physicians

Background

Inpatient palliative care consultation (IPCC) teams have been established to improve care for patients with specialist palliative care (PC) needs throughout all hospital departments. The objective is to explore physicians’ perceptions on the impact of IPCC, its triggers, challenges and limits, and their suggestions for future service improvements.

Methods

A Qualitative study drawing on semi-structured interviews with 10 PC specialists of an IPCC team and nine IPCC requesting physicians from oncology and non-oncological departments of a university hospital. Analysis was performed using qualitative content analysis.

Results

PC specialists and IPCC requesting physicians likewise considered organization of further care and symptom-burden as main reasons for IPCC requests. The main impact however was identified from both as improvement of patients’ (and their caregivers’) coping strategies and relief of the treating team. Mostly, PC specialists emphasized a reduction of symptom burden, and improvement of further care. Challenges in implementing IPCC were lack of time for both. PC specialists addressed requesting physicians’ skepticism towards PC. Barriers for realization of IPCC included structural aspects for both: limited time, staff capacities and setting. PC specialists saw problems in implementing recommendations like disagreement towards their suggestions. All interviewees considered education in PC a sensible approach for improvement.

Conclusions

IPCC show various positive effects in supporting physicians and patients, but are also limited due to structural problems, lack of knowledge, insecurity, and skepticism by the requesting physicians. To overcome some of these challenges implementation of PC education programs for all physicians would be beneficial.

Early Do-Not-Resuscitate Directives Decrease Invasive Procedures and Health Care Expenses During the Final Hospitalization of Life of COPD Patients

CONTEXT

Nearly 70% of do-not-resuscitate (DNR) directives for chronic obstructive pulmonary disease (COPD) patients are established during their terminal hospitalization. Whether patient use of end-of-life resources differs between early and late establishment of a DNR is unknown.

OBJECTIVES

The objective of this study was to compare end-of-life resource use between patients according to DNR directive status: no DNR, early DNR (EDNR) (established before terminal hospitalization), and late DNR (LDNR) (established during terminal hospitalization).

METHODS

Electronic health records from all COPD decedents in a teaching hospital in Taiwan were analyzed retrospectively with respect to medical resource use during the last year of life and medical expenditures during the last hospitalization. Multivariate linear regression analysis was used to determine independent predictors of cost.

RESULTS

Of the 361 COPD patients enrolled, 318 (88.1%) died with a DNR directive, 31.4% of which were EDNR. COPD decedents with EDNR were less likely to be admitted to intensive care units (12.0%, 55.5%, and 60.5% for EDNR, LDNR, and no DNR, respectively), had lower total medical expenditures, and were less likely to undergo invasive mechanical ventilator support during their terminal hospitalization. The average total medical cost during the last hospitalization was nearly twofold greater for LDNR than for EDNR decedents. Multivariate linear regression analysis revealed that nearly 60% of medical expenses incurred were significantly attributable to no EDNR, younger age, longer length of hospital stay, and more comorbidities.

CONCLUSION

Although 88% of COPD decedents died with a DNR directive, 70% of these directives were established late. LDNR results in lower quality of care and greater intensive care resource use in end-of-life COPD patients.