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Cancer Control: Journal of the Moffitt Cancer Center logoLink to Cancer Control: Journal of the Moffitt Cancer Center
. 2019 Jun 3;26(1):1073274819846574. doi: 10.1177/1073274819846574

The Intensity of Hospital Care Utilization by Dutch Patients With Lung or Colorectal Cancer in their Final Months of Life

Yvonne de Man 1,, Femke Atsma 1, Mariska G Oosterveld-Vlug 2, Linda Brom 3, Bregje D Onwuteaka-Philipsen 2, Gert P Westert 1, A Stef Groenewoud 1
PMCID: PMC6552371  PMID: 31159571

Abstract

Understanding the overuse and underuse of health-care services in the end-of-life (EoL) phase for patients with lung cancer (LC) and colorectal cancer (CRC) is important, but knowledge is limited. To help identify inappropriate care, we present the health-care utilization profiles for hospital care at the EoL of patients with LC (N = 25 553) and CRC (N = 14 911) in the Netherlands between 2013 and 2015. An administrative database containing all in-hospital health-care activities was analyzed to investigate the association between the number of days patients spent in the emergency department (ED) or intensive care unit (ICU) and their exposure to chemotherapy or radiotherapy. Fewer patients received hospital care as death neared, but their intensity of care increased. In the last month of life, the average numbers of hospital bed days, ICU days, and ER contacts were 9.0, 5.5, and 1.2 for patients with CRC, and 8.9, 6.2 and 1.2 for patients with LC in 2015. On the other hand, the occurrence of palliative consultations ranged from 1% to 4%. Patients receiving chemotherapy 6 months before death spent fewer days in ICU than those who did not receive this treatment (odds ratios: CRC = 0.6 [95% confidence interval: 0.4-0.8] and LC = 0.7 [0.5-0.9]), while those receiving chemotherapy 1 month before death had more ED visits (odds ratios: CRC = 17.2 [11.8-25.0] and LC = 15.8 [12.0-20.9]). Our results showed that patients who were still receiving hospital care when death was near had a high intensity of care, yet palliative consultations were low. Receiving chemotherapy or radiotherapy in the final month of life was significantly associated with more ED and ICU contacts in patients with LC.

Keywords: colorectal cancer, lung cancer, hospital care, end-of-life, undertreatment, overtreatment

Introduction

Lung cancer (LC) and colorectal cancer (CRC) are 2 of the 5 most common types of cancer in the Netherlands,1 with 12 600 and 15 000 new patients, respectively, diagnosed in 2015. With 5-year survival rates of 18% (LC) and 58% (CRC), survival is low.1 Furthermore, patients with LC and CRC have the second and third highest hospital care costs of all patients with cancer.2

Due to screening programs, more patients with cancer are identified at earlier disease stages. Cancer is increasingly becoming a chronic disease as a result of new chemotherapies and targeted therapies, meaning that the end-of-life (EoL) phase and the process of dying are longer and more gradual. The early detection of the palliative phase, advance care planning (ACP), and well-considered EoL care are therefore becoming increasingly important; however, we know that medical care can be both overused and underused.3 It can be overused in patients with cancer who receive aggressive treatments during the EoL phase, which increases their burden while decreasing their quality of life.4,5 The underuse of health care, for instance not having timely EoL discussions, is associated with higher costs and a lower quality of death and dying.6

Key Points

Questions

What is the hospital health-care utilization of Dutch patients with lung cancer (LC) and colorectal cancer (CRC) in the end of life?

Findings

We found that, for patients still receiving hospital care when death neared, the intensity of hospital care was high, yet palliative consultations were low. During the last month of life, chemotherapy and radiotherapy were significantly associated with more emergency department and intensive care unit visits in patients with LC.

Conclusion

Palliative care is potentially underused in the end-of-life phase. Medical specialists should consider the intensity of treatments when discussing them with patients. Advance care planning can play a substantial role in this.

Analyzing the health-care utilization (HCU) of a patient group forms the first crucial step toward improving their health care and is a tool for the identification of the overuse and underuse of medical care. Here, we aim to present the HCU profiles (HCUP) of patients with LC and CRC using activity-based hospital data. This will provide complementary and contrasting information to the analysis of diagnosis-related group (DRG)–based hospital data, which was previously performed by Bekelman et al.7

Materials and Methods

Study Population and Selection

This population-based cohort study includes insured Dutch persons (99% of the Dutch population)8 who died in 2013, 2014, or 2015 with a diagnosis of LC and/or CRC for whom hospital medical care had been registered. The patients were included as patients with LC if they had been diagnosed with non-small-cell lung carcinoma or small-cell lung cancer, neoplasm bronchus lung, or small- and large-cell bronchus carcinoma. Patients with CRC were included if they had been diagnosed with colorectal malignancy or malignant neoplasm of the colon. Patients under 18 at the time of death or those who lacked a valid citizen service number and post code were excluded from the analysis.

Data

A national database of administrative hospital data at the health-care activity level was used in the analyses presented here. These activities are registered by all Dutch hospitals (8 academic and 92 general hospitals) and by more than 300 independent treatment centers. The data also contained information regarding the institution providing the care as well as the age and gender of the patients. For 2013 and 2014, the data covered 95% of the delivered and billable care. For 2015, this was approximately 70% due to the administrative delay in registries after care had been given.

Expert Panel

Five medical experts were involved: 2 pulmonologists/oncologists and 3 experts specializing in internal medicine and oncology. All were specialized in palliative medicine. First, individual in-depth interviews were conducted with 4 experts using an interview guide to gain insights into their current practice and the background and reasons for the HCU patterns of Dutch patients with CRC or LC in the EoL phase. During the analysis phase, the experts classified each health-care activity into meaningful clusters (Table 1) and compared the volume and intensity of EoL HCU to their experiences of daily practice. Also, the experts indicated which types of care had been registered too frequently in their opinion and what would be potential areas for improvement. Finally, the experts argued that unplanned and unwanted admissions such as ED contacts and days in ICU were important to investigate further. They formulated an additional question regarding the association between unwanted admissions and chemotherapy and radiotherapy. It was not possible to identify avoidable or unwanted hospital bed days from the available data; therefore, this study was focused on ICU days and ED contacts.

Table 1.

Clusters of Health-Care Activities and Descriptions.

Category Description
Inpatient days
 Hospital bed wlays A first or subsequent clinical admission, classes A, B, and C
 ICU days Low, medium, and high care in the ICU
Outpatient days
 ED visit Life support in the ED
 Ambulatory visit A first or return visit
Specialty care consultations
 Palliative care consultation Specific health-care activity describing a palliative consultation
 Multidisciplinary consultation Co-treatments with other specialists, (clinical) multidisciplinary consultation and activities
 Consultation Consultations between patient and specialist, face-to-face or by telephone
 Allied and therapeutic care, per 15 minutes All allied care and consultations, including physiotherapists, nutritionists, nurse practitioners, psychologists, social workers, optometrists, and geriatric rehabilitation
Diagnostic tests
 Laboratory test All lab tests regarding hematology and small chemistry
 Noninvasive diagnostic test—pathological Microbiological, histological and pathological (laboratory) tests
 Other noninvasive diagnostics CGA, spirograph tests, interpreting radiology results, preassessments, blood pressure measurement, audiometric tests, and so on
 Invasive diagnostics Includes colonoscopies and bronchoscopies, as well as biopsies and diagnostic punctures
Imaging
 Conventional radiology Ultrasounds and X-rays, Doppler, duplex, EEG
 CT scan CT scans
 MRI scan MRI scans
 PET scan PET scans
 Nuclear scan other than PET SPECT and radioactive isotope tests
Procedures and treatments
 Chemotherapy Includes therapies as cisplatin, oxaliplatin, gemcitabin, docetaxel, and irinotecan
 CRC/LC surgery Surgeries registered under diagnosis codes specified in Table 1a and 1b, including tumor resection, tracheotomy, and therapeutic biopsies
 Non-CRC/LC surgery Surgeries other than the aforementioned, for instance, heart transplants; hip replacements, cataract, and hernia surgeries; and resections, reconstructions, and therapeutic biopsies
 Biologics Includes therapies such as bevacizumab, rituximab, and gefitinib
 Radiotherapy Radiation and radiotherapy fractions.
 Other (care and items) Pre- and post-surgery/chemotherapy/radiotherapy care, dental work, devices and implants (pacemaker, Steffeeplate, shunt), prosthetics, dialysis, injections, catheters, and so on

Abbreviations: CGA, comprehensive geriatric assessment; CRC, colorectal cancer; CT, computed tomography; ED, emergency department; EEG, electroencephalogram; ICU, intensive care unit; LC, lung cancer; MRI, magnetic resonance imaging; PET, positron emission tomography; SPECT, single photon computed tomography.

Clustering Health-Care Activities

More than 13 000 different health-care activities were included in the database, many of which can be grouped together. The experts were therefore asked to define the important and relevant health-care clusters for the EoL phases of patients with CRC and LC separately; it was not necessary to identify the same categories for the 2 illnesses. Subsequently, 2 teams of experts appointed the 75% most frequently occurring health-care activities within each specialism to one of these categories. The process of defining the categories was iterative, meaning that within and between the 2 teams, the categories were adjusted and refined during the clustering process until a consensus was reached. One of the experts checked and finalized the clustering. The health-care activity codes for which no description was available (<1%) and the additional costs for laboratory work, ICU admissions, house visits, or travel expenses were excluded because HCU, not health-care costs, were the focus of this investigation. Also, postmortem examinations were excluded from the clustering as these were not part of the EoL HCU.9

Analyses

The intensity of the HCU was examined by calculating the percentage of patients who received care described within the clusters and determining how often these care activities were performed on average per patient per month in the last 6, 3, and 1 month(s) before death. The associations between radiotherapy or chemotherapy and ICU days or ED contacts were also analyzed using a 2 × 2 frequency table, for which the corresponding odds ratios (OR) and 95% confidence intervals (CI) were calculated. The analyses were performed using SAS Enterprise Guide 9.2.

Results

Patient Characteristics

The characteristics of the 25 533 patients with CRC and 14 911 patients with LC included in this study are presented in Table 2. For both CRC and LC, more males than females passed away in the years 2013 to 2015.

Table 2.

Baseline Characteristics of All Patients with Lung or Colorectal Cancer who Died, 2013 to 2015.

Lung Cancer, N = 25 533 Colorectal Cancer, N = 14 911
Total
 Gender, %
  Male 15 324 (60.0%) 8494 (56.5%)
  Female 10 209 (40%) 6417 (43.5%)
 Mean age at death
  Male 70.6 71.6
  Female 67.1 72.1

Health-Care Utilization Profiles

The main clusters of health-care activities for patients with CRC and LC are presented in Table 1, while Table 3 shows the HCUP for these patients by cluster over 3 different time periods: 6 months, 3 months, and 1 month before death. It displays the proportion of patients who received a certain type of care and the average number of times they received it each month. In all 3 years, the 3 most frequently registered health-care activities for patients with both CRC and LC during the EoL phase were ambulatory visits, laboratory tests, and conventional radiology. Overall, the number of patients receiving hospital care decreased as their death neared, although the intensity of care per month increased for those still receiving it.

Table 3.

Hospital Care Utilization (HCU) Within the Last 6, 3, and 1 Month(s) of Life, the Number of Patients Receiving Certain Types of Care, and the Average Number of Times they Received it.

Colorectal cancer 2013 (N = 5104) 2014 (N = 5683) 2015 (N = 4123)
Months before death 6 3 1 6 3 1 6 3 1
N % Ia N % I N % I N % I N % I N % I N % I N % I N % I
Inpatient days
 Hospital bed days 3235 63 1.8 2502 49 3.3 1364 27 8.8 3590 63 1.9 2742 48 3.4 1490 26 8.5 2275 55 1.8 1542 37 3.4 780 19 9.0
 ICU days 471 9 1.0 379 7 2.0 287 6 5.2 490 9 1.0 374 7 1.9 264 5 5.3 249 6 1.0 175 4 2.0 122 3 5.5
Outpatient days
 ED visit 2613 51 0.2 1937 38 0.4 977 19 1.2 2924 52 0.2 2121 37 0.4 1097 19 1.2 1784 43 0.2 1121 27 0.4 539 13 1.2
 Ambulatory visit 4788 94 0.5 4018 79 0.7 2039 40 1.5 5316 94 0.5 4290 76 0.7 2143 38 1.5 3755 91 0.5 2549 62 0.8 1078 26 1.6
Specialty care consultations
 Palliative care consultation 201 4 0.3 162 3 0.5 100 2 1.4 266 5 0.3 226 4 0.5 147 3 1.6 128 3 0.3 104 3 0.6 56 1 1.6
 Multidisciplinary consultation 2198 43 0.5 1633 32 0.8 934 18 2.0 2579 45 0.4 1898 33 0.8 1068 19 1.9 1498 36 0.4 939 23 0.7 464 11 1.8
 Consultation 2924 57 0.4 2139 42 0.6 1026 20 1.7 3122 55 0.4 2149 38 0.7 940 17 1.8 2128 52 0.4 1304 32 0.7 493 12 1.8
 Paramedic and therapeutic care, per 15 min 2015 39 3.5 1487 29 6.4 776 15 17.8 2428 43 3.8 1838 32 7.0 931 16 18.9 1700 45 3.1 1097 29 5.8 523 14 16.8
Diagnostic tests
 Laboratory test 4459 87 9.9 3673 72 18.0 2012 39 53.1 4984 88 10.2 3949 70 18.8 2093 37 51.7 3383 82 10.9 2315 56 21.0 1105 27 61.3
 Noninvasive diagnostic test—pathological 3823 75 1.1 2942 58 2.4 1485 29 7.1 4247 75 1.1 3148 55 2.1 1562 28 6.2 2652 64 1.2 1714 42 2.4 783 19 7.9
 Other noninvasive diagnostics 2651 52 0.3 1706 33 0.6 765 15 1.7 3058 54 0.3 1983 35 0.6 907 16 1.7 1954 47 0.3 1091 27 0.6 448 11 1.7
 Invasive diagnostics 1907 37 0.3 1068 21 0.6 387 8 2.1 2000 35 0.3 1149 20 0.5 401 7 1.5 1260 31 0.3 628 15 0.5 192 5 1.6
Imaging
 Conventional radiology 3388 66 0.4 2485 49 0.7 1287 25 1.9 3709 65 0.4 2618 46 0.8 1300 23 2.1 2342 57 0.4 1448 35 0.8 692 17 2.2
 CT scan 3248 64 0.3 2101 41 0.6 691 14 1.6 3578 63 0.3 2276 40 0.6 758 13 1.6 2307 56 0.3 1213 29 0.6 390 10 1.6
 MRI scan 686 13 0.2 390 8 0.5 97 2 1.5 794 14 0.2 409 7 0.5 102 2 1.4 457 11 0.2 191 5 0.5 35 1 1.3
 PET scan 275 5 0.2 125 2 0.3 26 1 1.1 276 5 0.2 97 2 0.4 15 0 1.0 186 5 0.2 60 2 0.3 8 0 1.0
 Nuclear scan other than PET 208 4 0.2 103 2 0.4 21 0 1.4 237 4 0.2 115 2 0.5 29 1 1.4 116 3 0.2 47 1 0.4 11 0 1.0
Procedures and treatments
 Chemotherapy 1333 26 0.7 792 16 1.0 236 5 2.2 1446 25 0.7 803 14 1.0 250 4 2.2 1127 27 0.8 548 13 1.2 136 3 2.8
 CRC surgery 440 9 0.2 248 5 0.4 92 2 1.4 428 8 0.3 238 4 0.5 93 2 1.4 249 6 0.3 108 3 0.5 34 1 1.6
 Non-CRC surgery 1097 22 0.3 584 11 0.5 175 3 1.3 1130 20 0.3 593 10 0.5 168 3 1.4 729 18 1.3 305 7 0.5 84 2 1.7
 Biologics 654 13 0.7 385 8 0.7 118 2 1.5 827 15 0.5 477 8 0.7 119 2 1.5 578 14 0.5 276 7 0.7 64 2 1.3
 Radiotherapy 667 13 1.5 424 8 2.5 142 3 6.4 728 13 1.4 464 8 2.3 140 3 5.7 396 10 1.3 207 5 2.0 50 1 5.2
 Other (care and items) 3653 72 1.7 2830 55 4.3 1542 30 11.8 4022 71 2.3 3049 54 4.3 1511 27 10.4 2735 66 1.5 1799 44 3.0 806 20 9.5
Lung cancer 2013 (N = 9124) 2014 (N = 9764) 2015 (N = 6643)
Months before death 6 3 1 6 3 1 6 3 1
N % Ia N % I N % I N % I N % I N % I N % I N % I N % I
Inpatient days
 Hospital bed days 5978 66 1.7 4714 52 3.3 2712 30 9.0 6395 66 1.7 4936 51 3.3 2813 29 8.7 3799 57 1.7 2617 39 3.0 1421 21 8.9
 ICU days 435 5 0.8 344 4 1.8 257 3 5.9 449 5 0.9 349 4 1.8 252 3 5.7 253 4 0.9 175 3 2.1 128 2 6.2
Outpatient days
 ED visit 5200 57 0.2 3998 44 0.4 2188 24 1.2 5534 57 0.2 4136 42 0.4 2186 22 1.2 3118 47 0.2 2093 32 0.4 1076 16 1.2
 Ambulatory visit 8644 95 0.5 7467 82 0.7 4209 82 0.7 9164 94 0.5 7822 20 0.7 4264 44 1.6 6153 93 0.5 4560 16 0.4 2161 33 1.7
Specialty care consultations
 Palliative care consultation 264 3 0.3 229 3 0.5 167 2 1.5 338 4 0.2 279 3 0.5 195 2 1.5 135 2 0.3 110 2 0.6 69 1 1.7
 Multidisciplinary consultation 4754 52 0.4 3616 40 0.7 2036 22 2.0 5327 55 0.4 4030 41 0.7 2283 23 1.9 3028 46 0.3 2047 31 0.6 1062 16 1.8
 Consultation 551 60 0.3 4196 47 0.6 2041 22 1.4 5940 61 0.4 4436 45 0.6 2076 21 1.6 3683 55 0.4 2331 35 0.6 1014 15 1.7
 Paramedic and therapeutic care, per 15 min 4043 44 2.8 3023 33 5.1 1604 18 12.7 4639 48 2.7 3502 36 4.8 1886 19 12.3 3012 45 2.5 2078 31 3.9 1073 16 11.8
Diagnostic tests
 Laboratory test 7755 85 8.1 6317 69 15.1 3515 39 46.6 8237 84 8.7 6549 67 16.2 3559 37 48.2 5361 81 8.7 3740 56 16.3 1883 28 50.3
 Noninvasive diagnostic test—pathological 7016 77 0.9 5386 59 1.7 2830 31 5.6 7492 77 1.0 5673 58 2.0 2936 30 6.1 4581 69 1.0 3045 46 2.2 1486 22 6.5
 Other noninvasive diagnostics 5577 62 0.4 3775 41 0.6 1764 19 1.7 6048 62 0.4 4135 42 0.7 1875 19 1.8 3705 56 0.4 2248 34 0.6 958 14 1.8
 Invasive diagnostics 4081 45 0.3 2353 26 0.6 868 10 1.6 4247 44 0.3 2408 25 0.5 887 9 1.5 2520 38 0.3 1296 20 0.5 439 7 1.5
Imaging
 Conventional radiology 7218 79 0.4 5664 62 0.7 2906 32 2.0 7658 78 0.4 5826 60 0.8 2980 31 2.2 4779 72 0.4 3226 49 0.8 1553 23 2.3
 CT scan 5920 65 0.3 3993 44 0.6 1485 16 1.6 6409 66 0.3 4280 44 0.6 1555 16 1.6 4050 61 0.3 2350 35 0.5 789 12 1.6
 MRI scan 2423 27 0.2 1396 15 0.5 406 4 1.4 2600 27 0.2 1517 16 0.5 446 5 1.3 1545 23 0.2 831 13 0.5 210 3 1.4
 PET scan 1795 20 0.2 808 9 0.3 170 2 1.0 2083 21 0.2 936 10 0.3 206 2 1.0 1147 21 0.2 468 10 0.3 110 2 1.0
 Nuclear scan other than PET 1295 14 0.2 634 7 0.4 157 2 1.3 1422 15 0.2 658 7 0.4 157 2 1.3 832 15 0.2 364 7 0.4 90 2 1.3
Procedures and treatments
 Chemotherapy 2724 30 0.8 1667 18 1.2 549 6 2.7 3054 31 0.7 1821 19 1.0 582 6 2.3 1969 40 0.7 983 15 0.8 260 4 2.4
 LC surgery 87 1 0.2 47 1 0.4 19 0 1.4 79 1 0.2 47 1 0.4 11 0 1.1 55 1 0.2 34 0 0.3 14 0 1.0
 Non-LC surgery 1355 15 0.2 689 8 0.4 199 2 1.3 1403 14 0.2 725 7 0.5 211 2 1.2 821 12 1.5 365 6 0.5 101 2 1.5
 Biologics 128 1 0.4 75 1 0.7 20 0 1.2 132 1 0.4 72 1 0.6 18 0 1.5 73 1 0.4 31 1 0.5 9 0 1.5
 Radiotherapy 2797 31 1.6 1898 21 2.4 707 8 5.1 2998 31 1.5 2020 21 2.5 714 7 5.7 1420 21 1.5 821 12 1.7 263 4 5.2
 Other (care and items) 6181 68 1.4 4732 52 2.6 2452 27 8.5 6647 68 1.6 5050 52 2.8 2521 26 9.7 4112 62 1.1 2757 42 2.3 1292 19 7.0

Abbreviations: CRC, colorectal cancer; CT, computed tomography; ED, emergency department; I, Intensity; ICU, intensive care unit; LC, lung cancer; MRI, magnetic resonance imaging; PET, positron emission tomography.

aIntensity is the average number of treatments per patient per month for the patients who received a particular treatment.

In 2015, during their last 6 months of life, 55.2% of patients with CRC and 57.2% of patients with LC were admitted to hospital (not including ICU and ER admissions). In the last month of life, these proportions decreased to 18.9% and 21.4%, respectively, with an average stay of 9 hospital bed days. For patients who visited the ICU (2%-3%) and the ED (13%-16%) during their last month of life, the numbers of ICU days and ED contacts during this period were 5.5 days and 1.2 times, respectively, for patients with CRC and 6.2 days and 1.2 times for patients with LC.

Less than 2% of all patients had a palliative care team consultation in their last month of life (Table 3), while up to 20% of the patients with CRC and 23% of the patients with LC had a (multidisciplinary) consultation with their health-care specialist in this timeframe.

During the last 6 months of life, up to 66% of the patients with CRC and 79% of the patients with LC underwent conventional radiology. A total of 56% to 64% of patients with CRC and 61% to 66% for patients with LC received a computed tomography (CT) scan during this period, which dropped to 10% to 14% for CRC and 12% to 16% for LC during the last month of the patient’s life.

During their last 6 months of life, a small number of patients received cancer-related surgery, representing 9% of the patients with CRC and 1% of the patients with LC. No more than 1% of patients with LC received biologics, although 13% to 15% of patients with CRC received these treatments throughout the whole EoL phase. The opposite was true for radiotherapy, as up to 31% of the patients with LC received this treatment compared to just 13% of patients with CRC in the last 6 months of life. Overall, in the last month of life, we found that a very low percentage of patients underwent cancer-specific treatments and procedures.

Association Between Chemotherapy/Radiotherapy and ED Contacts

Patients with CRC receiving chemotherapy had more ED contacts during their last 6 months before death than patients who did not undergo chemotherapy during this period (unadjusted odds ratio [OR] = 1.8, 95% confidence interval [CI] = 1.6-2.1; Table 4). During the last month of life, the OR increased to 17.2 (95% CI = 11.8-25.0). We observed a similar increase in patients with LC (OR = 2.0 six months before death, 95% CI = 1.8-2.2; OR = 15.8 one month before death, 95% CI = 12.0-20.9). Patients with both CRC and LC receiving radiotherapy in their last month of life were significantly more frequently admitted to the ED than patients who did not undergo radiotherapy (OR for patients with CRC = 4.6, 95% CI = 2.6-8.1; OR for patients with LC = 4.2, 95% CI = 3.2-5.4).

Table 4.

Number of Patients With ED Contacts or ICU Days and the Number of Patients who Underwent Radiotherapy or Chemotherapy in 2015.

Chemotherapy, N (%) No chemotherapy, % Crude OR [95%CI] Radiotherapy, % No radiotherapy, % Crude OR [95%CI]
Colorectal cancer (N = 4123) N = 1127 N = 2996 N = 396 N = 3727
Last 6 months of life
 ≥1 ED-contact 610 (54.1) 1174 (39.2) 1 183 (46.2) 1603 (43.0) 1
 No ED-contact 517 (45.9) 1822 (60.8) 1.8 [1.6-2.1] 213 (53.8) 2124 (57.0) 1.1 [0.9-1.4]
 ≥1 ICU-day(s) 44 (3.9) 204 (6.8) 1 23 (5.8) 227 (6.1) 1
 No ICU-day 1083 (96.1) 2792 (93.2) 0.6 [0.4-0.8] 373 (94.2) 3500 (93.9) 1.0 [0.6-1.5]
N = 136 N = 3987 N = 50 N = 4073
Last month of life
 ≥1 ED-contact 93 (68.4) 447 (11.2) 1 20 (40.0) 517 (12.7) 1
 No ED-contact 43 (31.6) 3540 (88.8) 17.2 [11.8-25.0] 30 (60.0) 3556 (87.3) 4.6 [2.6-8.1]
 ≥1 ICU-day(s) 6 (4.4) 116 (2.9) 1 3 (6.0) 118 (2.9) 1
 No ICU-day 130 (95.6) 3871 (97.1) 1.5 [0.7-5.6] 47 (94.0) 3955 (97.1) 2.1 [0.7-6.9]
Lung cancer (N = 6643) N = 1969 N = 4674 N = 1420 N = 5223
Last 6 months of life
 ≥1 ED-contact 1158 (58.8) 1963 (42.0) 1 728 (51.3) 2397 (45.8) 1
 No ED-contact 811 (41.2) 2711 (58.0) 2.0 [1.8-2.2] 692 (48.7) 2836 (54.2) 1.3 [1.1-1.4]
 ≥ 1 ICU-day(s) 57 (2.9) 196 (4.2) 1 43 (3.0) 209 (4.0) 1
 No ICU-day 1912 (97.1) 4478 (95.8) 0.7 [0.5-0.9] 1377 (97.0) 5024 (96.0) 0.7 [0.5-1.0]
N = 260 N = 6383 N = 263 N = 6380
Last month of life
 ≥ 1 ED-contact 187 (71.9) 887 (13.9) 1 112 (42.6) 963 (15.1) 1
 No ED-contact 73 (28.1) 5496 (86.1) 15.8 [12.0-20.9] 151 (57.4) 5417 (84.9) 4.2 [3.2-5.4]
 ≥ 1 ICU-day(s) 13 (5.0) 115 (1.8) 1 8 (3.0) 121 (1.9) 1S
 No ICU-day 247 (95.0) 6281 (98.4) 2.9 [1.6-5.2] 255 (97.0) 6259 (98.1) 2.7 [1.3-5.6]

Abbreviations: CI, confidence interval; ED, emergency department; ICU, intensive care unit; OR, odds ratio.

Bold face values – Level of significance p < 0.05.

Association Between Chemotherapy/Radiotherapy and ICU Contacts

Patients receiving chemotherapy 6 months before their death spent fewer days in the ICU than patients who did not undergo this treatment. We observed that, in the last month of life, patients with LC undergoing chemotherapy were admitted to the ICU (OR = 2.9, 95% CI = 1.6-5.2) more often than those who did not receive chemotherapy during this period. Patients with LC receiving radiotherapy in their last month of life were significantly more frequently admitted to the ICU than patients who did not undergo this treatment (OR = 2.7, 95% CI: = 1.3-5.6).

Discussion

We revealed that a substantial number of patients with LC and CRC received highly intensive treatments during their EoL phase. Receiving chemotherapy or radiotherapy in the last month of life was found to be strongly associated with increased ER and ICU contacts in patients with LC.

Our results regarding hospital admissions are comparable to those of Bekelman et al who reported that 7% of elderly Dutch patients who died of cancer in 2010 spent 1 or more day(s) in ICU during their last 30 days of life, while 42% were hospitalized in an acute-care hospital.7 They also found that ICU admissions were more than twice as common in the United States than in the other 6 reporting countries for patients with cancer, including the Netherlands. Teno et al reported that 29.2% of all (Medicare-supported) patients with cancer in the United States were admitted to the ICU during their last 30 days of life (data from 2009).10 These findings were substantially higher than those of the present study (3% to 5%); however, the Netherlands has one of the lowest rates of ICU admissions among the 8 countries investigated by Teno et al.10 Although these findings show that HCU during the EoL phase is lower in the Netherlands than in other countries, overuse (or underuse) could still be present.

The medical experts included in this study indicated that the HCUPs we identified corresponded with their experience of daily oncological practice, describing them as “shockingly intense.” According to them, the potential areas for improvement in EoL care are to reduce the high number of admissions to the ICU and ER, to reduce the number of patients receiving a CT scan and the overall number of scans each patient receives, and to increase the number of palliative care consultations held with patients. We will discuss each of these themes and their level of appropriateness below.

Unwanted hospital admissions may be necessitated by a prolonged treatment during the EoL phase, as doctors may find it difficult to cease high-impact treatments such as chemotherapy and biological treatment in a timely manner11 and might not always discuss preferences and treatment aims with the patient.12 We argue that unplanned and even unwanted admissions could be prevented by timely discussions regarding EoL care or ACP. Palliative care consultations are a means of giving patients a more central role in their health care and the medical decisions surrounding their EoL.13 Although ACP has its pros and cons, recent studies have shown that ACP is able to improve the overall compliance with patient EoL wishes and improve the satisfaction of the patients and their families. It also reduces family stress, anxiety, and depression,14-16 while increasing the quality of life and survival rates in comparison to standard care16 and significantly lowering health-care costs.6,17 Despite these benefits, there is currently little evidence to indicate whether palliative care interventions implemented in the hospital, home, or outpatient clinic are more effective than standard care practices at reducing ED visits among patients with cancer during their EoL phase.18

Unfortunately, the number of patients receiving palliative care consultations in our study was exceptionally low. One explanation for this might be that, in the Dutch health-care system, the DRG data on palliative consultations are only registered as palliative care when a multidisciplinary team is actively providing palliative care, there has been at least 1 clinical or ambulant consultation, and the patient is solely receiving palliative care with no other curative treatments. A palliative consultation can be registered as a health-care activity; however, when the activity is not registered as palliative care, it is not sent to the database we used for our analyses. Although the number of palliative teams in Dutch hospitals is increasing,19 supportive care specialists are only involved in the care of 12% of non-sudden-death patients during their last month of life.20 Also, other reported data suggest that 20% to 25% of a representative sample of Dutch patients with CRC and LC had a palliative treatment aim in the 3 months before their deaths as recorded by their general practitioners (GPs).21 The percentage of patients who receive palliative consultations and the total number of these consultations might therefore be higher than our results suggest, although they are still likely to be relatively uncommon.

Our results suggest that high-impact treatments are associated with an increase in both days spent in the ICU in the last month of life for patients with LC and the number of ED contacts made throughout the entire EoL phase for both patients with LC and CRC. We cannot conclude that these treatments are inappropriate in the EoL phase on the basis of this study, however, as more information regarding the treatment aims and patient preferences would be required to make this determination. The association we found could reflect 2 nonexclusive contrasting possibilities: Patients receiving chemotherapy may end up in the ED/ICU more often than those who do not receive chemotherapy/radiotherapy due to an increase in complications, or their ED/ICU admission may lead to chemotherapy treatments; for instance, if a palliative treatment aim is determined after their admission. Studies have shown conflicting and inconclusive results regarding (palliative) chemotherapy22-24; however, regardless of the direction of this association, our data suggest that high-intensity care (whether chemotherapy or an ICU admission) is associated with the patient receiving other highly intensive care. Medical specialists should consider the intensity of these treatments when discussing them with their patients. Bearing in mind that 80% of patients would prefer to die at home25,26 but only 61% actually do,26 we must ask whether this trend is acceptable.

Although they are important for the initial staging process of the cancer with acceptable cost-effectiveness parameters and even cost savings,27 a CT scan might be unnecessary if it will not make a difference to the subsequent treatment. Schnipper et al even stated that “until high-level evidence demonstrates that routine surveillance with PET or PET/CT scans helps prolong life or promote wellbeing after treatment for a specific type of cancer, this practice should not be performed.”28(p4365) Given this recommendation, it is remarkable that an average of 1.6 CT scans were still performed on almost 10% of patients in their final month of life or an average of 0.6 times for almost 30% of patients during their final 3 months.

Strengths and Limitations

A major strength of our study was the analysis of the data at the level of health-care activities. Although our database only included hospital data, the use of these data enabled us to analyze HCU in detail. Furthermore, the involvement of a panel of medical experts enabled us to gather specialized input and opinions and subsequently understand and interpret the results. Our data were shown to be representative, as the mean age at death and the male–female ratio for both cancer types were comparable to the national mortality data.1

Our study also had some limitations, such as the fact that we were not able to distinguish between curative and palliative treatments in these data. This is important, as it would give more insight into possible explanations for the HCU we have found in our study. Also, registered health care does not always necessarily reflect the actual health care supplied; faulty registrations or nonregistrations do occur. Furthermore, the 2015 database was not complete at the time of this study due to the time-consuming process of collecting data from Dutch hospitals. When comparing the data from each year, however, we found that our results were robust. We therefore argue that the incompleteness of the data did not substantially alter the image of the HCUP.

Although high-intensity hospital care is given to patients in the EoL phase, some patients received no hospital-based care. We were unable to investigate the differences in characteristics and HCU between these 2 groups, but we believe that the hospital-based patients are most likely to receive high-intensity and high-cost, maybe even inappropriate, care during the EoL phase in comparison to the nonhospital-based patients. We do not know whether the care for nonhospital-based patients was more appropriate than the hospital care provided to other patients. In order to further investigate this, any geographical or institutional variations in HCU within the Netherlands need to be identified, as these are even stronger indications of potential overuse and underuse. We also need to broaden the scope of future studies by analyzing the full health-care chain to determine which types of primary care were provided for patients with high levels of secondary care utilization and to identify the underlying reasons for differences in HCU. The ultimate aim would be to signal the overuse and underuse of health care while also understanding it, leading to better conversations between physicians/institutions and patients to improve quality of care.

In conclusion, we observed a high usage of intense care in the EoL phase of patients with CRC and LC in the Netherlands, which may represent the overuse of health care, especially regarding hospital admissions and CT scans. Palliative care needs to be further improved and developed in the EoL phase and may currently be underused. Advanced care planning can play a substantial role in ensuring the appropriate use of palliative care. More research is necessary to identify the true overuse and underuse of hospital medical services.

Acknowledgments

We gratefully thank all the experts involved in shaping our study and interpreting the results.

Authors’ Note: The lead author affirms that the manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) disclosed receipt of the following financial support for the research and/or authorship of this article: This study was funded by the National Health Care Institute of the Netherlands. The funding organization did not participate in the design and conduct of the study; the analysis and interpretation of the data; the preparation, review, or approval of the manuscript; nor the decision to submit the manuscript for publication. They did participate in the collection and management, and interpretation of the data as they are the processors of the data set. All researchers are independent of the funding party.

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