Management and intensity of medical end-of-life care in people with colorectal cancer during the year before their death in 2015: A French national observational study

Optimization of Diagnosis-Related Groups for 14,246 Patients with Uterine Leiomyoma in a Single Center in Western China Using a Machine Learning Model

Background

Uterine leiomyoma (UL) is one of the most common benign tumors in women, and its incidence is gradually increasing in China. The clinical complications of UL have a negative impact on women's health, and the cost of treatment poses a significant burden on patients. Diagnosis-related groups (DRG) are internationally recognized as advanced healthcare payment management methods that can effectively reduce costs. However, there are variations in the design and grouping rules of DRG policies across different regions. Therefore, this study aims to analyze the factors influencing the hospitalization costs of patients with UL and optimize the design of DRG grouping schemes to provide insights for the development of localized DRG grouping policies.

Methods

The Mann-Whitney U-test or the Kruskal-Wallis H-test was employed for univariate analysis, and multiple stepwise linear regression analysis was utilized to identify the primary influencing factors of hospitalization costs for UL. Case combination classification was conducted using the exhaustive chi-square automatic interactive detection (E-CHAID) algorithm within a decision tree framework.

Results

Age, occupation, number of hospitalizations, type of medical insurance, Transfer to other departments, length of stay (LOS), type of UL, admission condition, comorbidities and complications, type of primary procedure, other types of surgical procedures, and discharge method had a significant impact on hospitalization costs (P<0.05). Among them, the type of primary procedure, other types of surgical procedures, and LOS were the main factors influencing hospitalization costs. By incorporating the type of primary procedure, other types of surgical procedures, and LOS into the decision tree model, patients were divided into 11 DRG combinations.

Conclusion

Hospitalization costs for UL are mainly related to the type of primary procedure, other types of surgical procedures, and LOS. The DRG case combinations of UL based on E-CHAID algorithm are scientific and reasonable.

Health care expenditures among long-term survivors of pediatric solid tumors: Results from the French Childhood Cancer Survivor Study (FCCSS) and the French network of cancer registries (FRANCIM)

Background

Childhood cancer survivors (CCS) may require lifelong medical care due to late effects of cancer treatments. Little is known about of their healthcare utilization and expenditures at long-term especially in publicly funded health care system. We aim to estimate and describe the health care expenditures among long-term CCS in France.

Methods

A total of 5319 five-year solid CCS diagnosed before the age of 21 between 1945 and 2000 in France were identified in the French Childhood Cancer Survivors Study cohort (FCCSS) and the French cancer registry. Information about health care expenditure was taken from the French national health data system between 2011 and 2016, and was described according to survivors’ characteristics. Generalized linear models were used to determine associations between health care expenditures and survivors’ characteristics.

Results

Mean annual amount of healthcare expenditures was € 4,255. Expenditures on hospitalizations and pharmacy represents 60% of total expenditures. Mean annual of healthcare expenditures were higher at increasing age, among women survivors (€ 4,795 vs € 3,814 in men) and in central nervous system (CNS) tumor survivors (€ 7,116 vs € 3,366 in lymphoma and € 3,363 in other solid tumor survivors).

Conclusions

Childhood cancer survivorship is associated with a substantial economic burden in France. We found that female gender and CNS primary cancer were associated with increased healthcare expenditures.

Patterns of health care utilization among Medicare beneficiaries diagnosed with pancreatic adenocarcinoma

BACKGROUND

Care patterns among patients diagnosed with pancreatic adenocarcinoma remain poorly defined.

METHODS

Cluster analysis was performed on patients with pancreatic adenocarcinoma to assess time from diagnosis to death spent in different care settings (home self-care-dominant[HSC], acute in-hospital care-dominant[ACS], hospice care-dominant[HC] or mixed home and hospice care[MHH]).

RESULTS

Among 32,816 patients, most belonged to the HSC group (n = 13,459, 41%), followed by MHH (n = 9,091, 28%), ACS (n = 5,737, 18%) and HC (n = 4,529, 14%). Only about 1 in 3 patients in the HSC (n = 4,028, 30%) or ACS (n = 2,206, 35%) received hospice services for at least one week before death. 16% of patients (n = 5,188) died in the hospital, which was most common among ACS patients (n = 1,640, 29%). Median daily expenditures varied according to health care utilization (HSC, $44.6, IQR 12.3-130.1 vs MHH, $162.3, IQR 60.5-351.9 vs ACS, $489.7, IQR 243.2-856.8 vs HC, $306.1, IQR 132.3-580.0; p < 0.001).

CONCLUSIONS

Pancreatic adenocarcinoma patients differed with regards to health care utilization, hospice use and expenditures following diagnosis.

Chemotherapy use in end-of-life digestive cancer patients: a retrospective AGEO observational study

BACKGROUND

The use of chemotherapy (CT) near the end-of-life (EOL) is an important issue in oncology since it could degrade quality of life. CT near EOL is still poorly studied, with no dedicated study in gastrointestinal (GI) cancer patients.

AIM

To analyze in GI cancer patients the factors associated with the use of CT within 3- and 1-month before patients' death.

METHODS AND PARTICIPANTS

All consecutive patients who died from a GI cancer in 10 French tertiary care hospitals during 2014 were included in this retrospective study. Clinical, demographical and biological data were collected and compared between patients receiving or not CT within 3- and 1-month before death. Variables associated with overall survival (OS) was also determined using of univariate and multivariate analyses with a Cox model.

RESULTS

Four hundred and thirty-seven patients with a metastatic GI cancer were included in this study. Among them, 293 pts (67.0%) received CT within 3-months before death, and 121 pts (27.7%) received CT within 1-month before death. Patients receiving CT within 3-months before death were significantly younger (median age: 65.5 vs 72.8 years, p < 0.0001), with a better PS (PS 0 or 1: 53.9 vs 29.3%, p < 0.0001) and a higher albumin level (median: 32.8 vs 31.0 g/L, p = 0.048). Similar results were found for CT within 1 month before death. Palliative care team intervention was less frequent in patients who received CT in their last month of life (39.7% vs 51.3%, p = 0.02). In multivariate analysis, median OS from diagnosis was shorter in the group receiving CT within 1-month before death (HR = 0.59; 95% CI [0.48-0.74]).

CONCLUSION

In GI-cancer patients, CT is administered within 3- and 1-month before death, in two and one third of patients, respectively. Patients receiving CT within 1-month before death, had more aggressive disease with poor OS. Palliative care team intervention was associated with less administration of CT in the last month of life. These results highlight the need to better anticipate the time to stop CT treatment in the end-of-life and the importance of an active collaboration between oncology and palliative care teams.

Evolution of health care utilization and expenditure during the year before death in 2015 among people with cancer: French snds-based cohort study

BACKGROUND

Cancer patients have one of the highest health care expenditures (HCE) at the end of life. However, the growth of HCE at the end of life remains poorly documented in the literature.

OBJECTIVE

To describe monthly reimbursed expenditure during the last year of life among cancer patients, by performing detailed analysis according to type of expenditure and the person's age.

METHOD

Data were derived from the Système national des données en santé (SNDS) [national health data system], which comprises information on ambulatory and hospital care. Analyses focused on general scheme beneficiaries (77% of the French population) treated for cancer who died in 2015.

RESULTS

Average reimbursed expenditure during the last year of life was €34,300 per person in 2015, including €21,100 (62%) for hospital expenditure. "Short-stays hospital" and "rehabilitation units" stays expenditure were €14,700 and €2000, respectively. Monthly expenditure increased regularly towards the end of life, increasing from 12 months before death €2000 to €5200 1 month before death. The highest levels of expenditure did not concern the oldest people, as average reimbursed expenditure was €50,300 for people 18-59 years versus €25,600 for people 80-90 years. Out-of-pocket payments varied only slightly according to age, but increased towards the end of life.

CONCLUSION

A marked growth of HCE was observed during the last 4 months of life, mainly driven by hospital expenditure, with a more marked growth for younger people.

High-Intensity End-of-Life Care Among Patients With GI Cancer in Puerto Rico: A Population-Based Study

High-intensity care with undue suffering among patients with cancer at the end of life (EoL) is associated with poor quality of life. We examined the pattern and predictors of high-intensity care among patients with GI cancer in Puerto Rico.

Research on diagnosis-related group grouping of inpatient medical expenditure in colorectal cancer patients based on a decision tree model

BACKGROUND

In 2018, the diagnosis-related groups prospective payment system (DRGs-PPS) was introduced in a trial operation in Beijing according to the requirements of medical and health reform. The implementation of the system requires that more than 300 disease types pay through the DRGs-PPS for medical insurance. Colorectal cancer (CRC), as a common malignant tumor with high prevalence in recent years, was among the 300 disease types.

AIM

To investigate the composition and factors related to inpatient medical expenditure in CRC patients based on disease DRGs, and to provide a basis for the rational economic control of hospitalization expenses for the diagnosis and treatment of CRC.

METHODS

The basic material and cost data for 1026 CRC inpatients in a Grade-A tertiary hospital in Beijing during 2014-2018 were collected using the medical record system. A variance analysis of the composition of medical expenditure was carried out, and a multivariate linear regression model was used to select influencing factors with the greatest statistical significance. A decision tree model based on the exhaustive χ² automatic interaction detector (E-CHAID) algorithm for DRG grouping was built by setting chosen factors as separation nodes, and the payment standard of each diagnostic group and upper limit cost were calculated. The correctness and rationality of the data were re-evaluated and verified by clinical practice.

RESULTS

The average hospital stay of the 1026 CRC patients investigated was 18.5 d, and the average hospitalization cost was 57872.4 RMB yuan. Factors including age, gender, length of hospital stay, diagnosis and treatment, as well as clinical operations had significant influence on inpatient expenditure (P < 0.05). By adopting age, diagnosis, treatment, and surgery as the grouping nodes, a decision tree model based on the E-CHAID algorithm was established, and the CRC patients were divided into 12 DRG cost groups. Among these 12 groups, the number of patients aged ≤ 67 years, and underwent surgery and chemotherapy or radiotherapy was largest; while patients aged > 67 years, and underwent surgery and chemotherapy or radiotherapy had the highest medical cost. In addition, the standard cost and upper limit cost in the 12 groups were calculated and re-evaluated.

CONCLUSION

It is important to strengthen the control over the use of drugs and management of the hospitalization process, surgery, diagnosis and treatment to reduce the economic burden on patients. Tailored adjustments to medical payment standards should be made according to the characteristics and treatment of disease types to improve the comprehensiveness and practicability of the DRGs-PPS.

Management and intensity of medical end-of-life care in people with colorectal cancer during the year before their death in 2015: A French national observational study

The care pathway of patients with colorectal cancer (CRC) 1 year prior to death, their causes of death and the healthcare use, and associated expenditure remain poorly described together. People managed for CRC (2014‐2015), covered by the national health insurance general scheme and who died in 2015 were selected from the national health data system. A total of 15 361 individuals (mean age: 75 years, SD: 12.5 years) were included, almost 66% of whom died in short‐stay hospital (SSH), 9% in hospital at home (HaH), 4% in rehabilitation units (Rehab), 6% in skilled nursing homes (SNH), and 15% at home. At least one other cancer was identified for one‐third of these people. Almost one‐half of people presented cardiovascular comorbidity, 21% had chronic respiratory disease, and 13% had a neurological or degenerative disease. During the last month of life, 83% were admitted at least once to SSH, 39% had at least one emergency department admission, 17% were admitted to an intensive care unit, 15% received at least one chemotherapy session (<60 years: 27%), and 5% received oral chemotherapy. Eighty‐eight percent of the 60% of individuals who received hospital palliative care (HPC) vs 75% of those without HPC were admitted to SSH at least once during the last month. Cancer was the main cause of death for 84% (SSH: 85%, home: 77%) and corresponded to CRC for 64% of them. The mean annual expenditure per person during the last year of life was €43 398 (SSH: €48 804). This study suggests a relatively high level of HPC use during the year before death for people with CRC in France. High rates of emergency department, intensive care, and chemotherapy use were observed during the last month of life. However, management is very largely SSH‐based with a small proportion of deaths at home.