Skip to main content
Erschienen in: Supportive Care in Cancer 3/2017

Open Access 26.10.2016 | Original Article

Short- and long-term use of medication for psychological distress after the diagnosis of cancer

verfasst von: Cheng-Hsu Wang, Lynn Chu Huang, Chen-Chang Yang, Chi-Liang Chen, Yiing-Jenq Chou, Yen-Yuan Chen, Wei-Chih Yang, Likwang Chen

Erschienen in: Supportive Care in Cancer | Ausgabe 3/2017

Abstract

Purpose

This study investigated the short- and long-term use of medication for psychological distress after the diagnosis of cancer.

Methods

Longitudinal data from the Taiwan National Health Insurance database were used to follow 35,137 cancer patients for 2.5 years after being diagnosed in 2006 and 2007.

Results

Among those patients who survived for at least 180 days, 20.9 % had used psychotropic medications; sedatives were the most frequently prescribed (14.3 %), followed by antidepressants (5.5 %), anxiolytics (3.6 %), and antipsychotics (2.7 %). Lung cancer, prostate cancer, and oral cancer showed a significant association with the regular use of medication in the first 180 days. Among patients who survived for at least 2.5 years, 4.8 % still used psychotropic medication on a regular basis. Lung cancer and prostate cancer were associated with such prolonged use.

Conclusions

This longitudinal study found that the type of cancer was significantly associated with the use of psychotropic drugs after the diagnosis was made. It provided information about the trajectory of that use and found that a small number of patients were still using those medications after 2.5 years.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1007/​s00520-016-3456-z) contains supplementary material, which is available to authorized users.
Abkürzungen
MPR
Medication possession ratio
NHI
National Health Insurance
NHIA
National Health Insurance Administration
OR
Odds ratio

Introduction

Cancer is a leading cause of death in developed countries [1]. Its impact on mental health is also significant. Research has shown that 25–30 % of all newly diagnosed patients and those with recurrent cancer experienced significantly elevated levels of emotional distress, and around 50 % of those received psychiatric diagnoses [25]. Studies of distress in long-term survivors have reported mixed results. Several [68] have demonstrated persistent symptoms of depression, anxiety, pain, or fatigue, while others have indicated no difference in the frequency of those symptoms from that in the general population [9, 10].
Pharmacological therapy either alone or in combination with psychosocial intervention has been demonstrated to be beneficial for cancer patients with depression [1113]. Previous studies have reported the prevalence rates for and the types of psychotropic drugs prescribed for cancer patients; these studies were based on cross-sectional data for prescriptions for sedatives, antidepressants, anxiolytics, and antipsychotics. The reasons for the use of these drugs included depression, anxiety, insomnia, pain, and treatment-related emesis [14, 15]. Little research has investigated the association between type of cancer and the use of psychotropic medication or long-term patterns of use. Braun et al. [9] recently reported that cancer patients who survived for 5 years or longer appeared to use psychotropic medication at a rate similar to that of cancer-naïve controls. It is unclear how the level of use might vary from time to time among long-term cancer survivors and what factors might be associated with persistently high use of psychotropic medications by these patients. We hypothesized that there might be differences in the use of medication among patients with different types of cancer and that the use of such medication would be reduced and stable after a period of time.
The aims of this study, therefore, were to investigate the short- and long-term use of medications for psychological distress after the diagnosis of cancer and to determine what factors were associated with such use.

Methods

This is a retrospective population study based on data from Taiwan’s National Health Insurance (NHI) databank. NHI covers almost all Taiwanese for medical services in almost all outpatient settings and hospitals [16]. Once a patient is diagnosed with a malignancy, the National Health Insurance Administration (NHIA) issues a catastrophic illness registry card to the patient and then provides that patient with all NHI healthcare services related to treatment of that cancer without copayments.

Data source

The NHI database includes comprehensive claims and registration data and has detailed information about health services, procedures, and prescriptions provided through NHI. It also includes data on diagnoses and background information on patients, physicians, and healthcare institutions. The NHI system codes diagnoses using the International Classification of Diseases, Ninth Revision (ICD-9). The quality of NHI data is considered to be reliable, because the NHIA routinely audits data submitted by healthcare institutions in order to prevent fraud.
The database we acquired contained person-level longitudinal NHI claims and registration data for the entire national population of patients who were newly diagnosed with cancer between January 1, 2006 and June 30, 2007. We also acquired longitudinal NHI registration data for healthcare institutions.

Study participants

We used SAS software version 9.1.3 (SAS Institute Inc., Cary, NC) to extract, organize, and link each patient’s data. We selected the date of the first cancer registry as the index date for the beginning of observation (n = 79,868) but included only patients with the ten most common types of cancer (n = 57,224). Because we focused on the regular use of psychotropic medication after the diagnosis of cancer, we excluded patients with a previous diagnosis of cancer and those who had at least one prescription for medication for psychological distress within the 2 years immediately prior to their index date (n = 40,080). Finally, we excluded patients with missing data for the essential variables in our study. For each patient in the study (n = 35,137), we had a complete 2.5-year follow-up. (Fig. 1).

Research variables

We classified the medications for psychological distress as antidepressants, anxiolytics, sedatives, and antipsychotics in accordance with the study of cancer patients by Derogatis et al. [14]. Although several of these medications are used to control chemotherapy-induced nausea and vomiting, The National Comprehensive Cancer Network recommends that they be used only temporarily for this [17]. Control of emesis would not be a long-term indication. Our outcome variables were binary variables reflecting regular use of psychotropic medication in the five 180-day periods after the diagnosis of cancer. NHI regulations require that prescriptions be renewed every 180 days. A value of 1 indicated regular use and a value of 0 denoted non-regular use. We defined regular medication use in a period as a medication possession ratio (MPR) ≧50 % for the period. MPR is the ratio of “the number of days for which medication is prescribed in a period” to “the number of days alive in that period.” MPR is a common index for measuring medication adherence, and it is also a suitable outcome measure for investigating the long-term or regular use of medication [18]. Many studies of medication adherence in chronic disease adopted a MPR≧80 % as the indicator of regular use [19]; however, we believed that a MPR≧50 % for psychotropic medication was already a sign of severe psychiatric distress and consistent with other studies [20, 21].
We used NHI data to establish a set of factors which might potentially influence the use of mediation for psychological distress. Patient characteristics at the time of the diagnosis of cancer included gender, age, and type of cancer; rather than using the more general Charleston Comorbidity Index, we selected comorbid conditions generally associated with use of medications for psychological distress. These included diabetes mellitus (DM), hypertension, chronic obstructive pulmonary disease (COPD), chronic liver disease, coronary arterial disease (CAD), and cerebral vascular accident (CVA) [22]. We created a binary variable to denote the existence of comorbidity for each of these conditions and also a binary variable to indicate the existence of at least one of these conditions.
We generated a set of binary variables to indicate the level of urbanization of a patient’s NHI registration location according to the local population density and the local pattern of industry [23]. With regard to socioeconomic status, we included a set of categorical variables showing the position of NHI registration and the salary tertile. The project was approved by the Institutional Review Board (IRB) of National Taiwan University Hospital (NTUH-REC No. 201307046W). All individual identification numbers were scrambled to protect privacy.

Statistical analysis

Stata Software version 9 was used (StataCorp, College Station, TX) for descriptive statistics and multivariable regression analysis. Binary variables indicating use of medication were reported as counts and percentages. The chi-square test was used to assess differences between subgroups of cancer patients.
On the basis of the MPR levels in the five 180-day periods after the diagnosis of cancer, we defined patterns of long-term medication use. We regarded the persistent regular use of psychotropic medication as regular use for all the five 180-day periods after the diagnosis. We used logit regression analysis to identify factors associated with regular medication use in the first 180 days after diagnosis, as well as factors associated with persistent regular medication use over the five 180-day periods after the diagnosis. Statistical significance was set as p ≤ 0.05.

Results

Study participants and their survival rates

Among patients with the ten most common types of cancer, 17.5 % died within 180 days after the diagnosis. Table 1 shows the study subjects’ demographic, socioeconomic, and clinical characteristics separately for patients who survived at least 180 days and for those who died within 180 days after the diagnosis. The data show that the two groups of patients had significant differences for each characteristic we investigated.
Table 1
Comparison of the characteristics of patients who survived at least 180 days and those who passed away within 180 days after the diagnosis of cancer
Characteristics
Patients surviving at least 180 days
Patients passing away within 180 days
p value for χ 2 test
n
%
n
%
Gender
    
p < 0.001
 Male
15,641
46.03
4534
73.68
 
 Female
13,342
53.97
1620
26.32
 
Age at cancer diagnosis (in years)
p < 0.001
 <35
1048
3.62
106
1.72
 
 35–44
4047
13.96
408
6.63
 
 45–54
7141
24.64
914
14.85
 
 55–64
6243
21.54
1089
17.70
 
 65–74
6149
21.22
1558
25.32
 
 75–84
3816
13.17
1636
26.58
 
 ≥85
539
1.86
443
7.20
 
Region of the NHI registration location at cancer diagnosis
p < 0.001
 Taipei region
9902
34.16
1843
29.95
 
 Northern region
3616
12.48
744
12.09
 
 Central
4917
16.97
1057
17.18
 
 Southern
4921
16.98
1201
19.52
 
 The farthest South (two counties)
4851
16.74
1102
17.91
 
 Eastern
776
2.68
207
3.36
 
Urbanization level of the NHI registration location at cancer diagnosis
p < 0.001
 Big city
14,391
49.65
2718
44.17
 
 Small city or town
9997
34.49
2212
35.94
 
 Remote or rural area
4595
15.85
1224
19.89
 
Occupation type in the NHI registry at cancer diagnosis
p < 0.001
 Government employee or teacher
1581
5.45
271
4.4
 
 NHI registration through employers of other types
9153
31.58
1525
24.78
 
 NHI registration through labor unions
5445
18.79
892
14.49
 
 Veterans or their dependents
252
0.87
62
1.01
 
 Family dependents with no jobs
294
1.01
92
1.49
 
 NHI registration through local governments
5349
18.46
1342
21.81
 
 Members of families in poverty/residents in religious or charitable institutions
175
0.60
64
1.04
 
 NHI registration through farmers/fishermen/crewmen unions
6734
23.23
1906
30.97
 
Salary class in the NHI registry at cancer diagnosis
p < 0.001
 The bottom tertile of the population
12,460
42.99
3096
50.31
 
 The middle tertile
10,694
36.90
2414
39.23
 
 The top tertile
5829
20.11
644
10.46
 
Comorbidity at cancer diagnosis
 
 Diabetes
    
p < 0.001
  No
25,839
89.15
5282
85.83
 
  Yes
3144
10.85
872
14.17
 
 Hypertension
    
p < 0.001
  No
22,362
77.15
4522
73.48
 
  Yes
6623
22.85
1632
26.52
 
 Ischemic heart disease
    
p < 0.001
  No
27,442
94.68
5649
91.79
 
  Yes
1541
5.32
505
8.21
 
Comorbidity at cancer diagnosis
     
 Cerebrovascular accident
    
p < 0.001
  No
27,904
96.28
5686
92.40
 
  Yes
1079
3.72
468
7.60
 
 Chronic obstructive pulmonary disease
    
p < 0.001
  No
27,892
96.24
5602
91.03
 
  Yes
1091
3.76
552
8.97
 
 Chronic liver disease/cirrhosis
    
p < 0.001
 No
25,440
87.78
4423
71.87
 
 Yes
3543
12.22
1731
28.13
 
Cancer type
p < 0.001
 Malignant neoplasm of rectum and rectosigmoid colon
6459
22.29
646
10.50
 
 Malignant neoplasm of breast
5503
18.99
93
1.51
 
 Malignant neoplasm of liver and intrahepatic bile ducts
3107
10.72
2296
37.31
 
 Malignant neoplasm of trachea, bronchus, and lung
3072
10.60
1896
30.81
 
 Malignant neoplasm of lip, oral cavity, and pharynx
4103
14.16
373
6.06
 
 Malignant neoplasm of stomach
1698
5.86
641
10.42
 
 Malignant neoplasm of prostate
1945
6.71
83
1.35
 
 Malignant neoplasm of cervix uteri
1611
5.56
59
0.96
 
 Malignant melanoma of skin
838
2.89
35
0.57
 
 Malignant neoplasm of body of uterus
647
2.23
32
0.52
 
Table 2 shows the survival rates over the 2.5 years following the diagnosis of cancer for different types of cancer, separately by gender. Among male patients, those with lung cancer and those with liver cancer had the poorest prognosis. Only 18.3 % of male lung cancer patients and 35.1 % of male liver cancer patients survived for 2.5 years after that diagnosis, while 80.6 % of prostate cancer patients survived at least 2.5 years. Among female patients, those with lung cancer and those with liver cancer also had a poor prognosis. Only 30.6 % of female lung cancer patients and 40.3 % of female liver cancer patients survived for 2.5 years after that diagnosis, while 92.3 % of breast cancer patients survived at least 2.5 years.
Table 2
Post-diagnosis survival rates among cancer patients, for the ten most common types of cancer
  
180-day survival rate
1-year survival rate
1.5-year survival rate
2-year survival rate
2.5-year survival rate
Cancer type
(n) at diagnosis
% (n)
% (n)
% (n)
% (n)
% (n)
Male
 Colon
(n = 4296)
91.2 (3919)
85.7 (3682)
81.0 (3481)
76.8 (3299)
72.7 (3125)
 Liver
(n = 4229)
56.1 (2372)
47.5 (2007)
42.0 (1778)
38.6 (1633)
35.1 (1485)
 Oral
(n = 4188)
91.7 (3839)
80.2 (3357)
70.9 (2968)
66.2 (2771)
63.4 (2657)
 Lung
(n = 3366)
57.8 (1946)
40.3 (1358)
29.5 (992)
22.9 (771)
18.3 (617)
 Prostate
(n = 2028)
95.9 (1945)
92.7 (1880)
88.5 (1794)
84.8 (1720)
80.6 (1635)
 Stomach
(n = 1548)
73.1 (1131)
62.0 (960)
54.3 (841)
49.0 (759)
45.9 (710)
 Skin
(n = 513)
94.0 (482)
89.3 (458)
85.0 (436)
81.9 (420)
80.1 (411)
Female
 Breast
(n = 5589)
98.3 (5496)
97.1 (5427)
95.6 (5344)
93.9 (5246)
92.3 (5156)
 Colon
(n = 2809)
90.4 (2540)
85.7 (2407)
81.1 (2279)
76.6 (2151)
72.9 (2049)
 Cervical
(n = 1670)
96.5 (1611)
92.0 (1537)
88.1 (1471)
84.9 (1417)
82.6 (1379)
 Lung
(n = 1602)
70.3 (1126)
56.2 (901)
44.9 (720)
37.2 (596)
30.6 (491)
 Liver
(n = 1174)
62.6 (735)
53.8 (632)
48.9 (574)
44.5 (522)
40.3 (473)
 Stomach
(n = 791)
71.7 (567)
59.4 (470)
51.1 (404)
46.4 (367)
43.9 (347)
 Uterus
(n = 679)
95.3 (647)
92.6 (629)
90.0 (611)
88.1 (598)
86.5 (587)
 Skin
(n = 360)
98.9 (356)
96.4 (347)
93.1 (335)
91.4 (329)
89.4 (322)
 Oral
(n = 288)
91.7 (264)
80.9 (233)
73.3 (211)
69.8 (201)
68.1 (196)

Proportions of cancer patients who regularly used psychotropic medications

Supplemental Table S1 shows the proportions of patients who regularly used medication for psychological distress among those who survived at least 180 days after the diagnosis of cancer. The table reports the proportions for different types of cancer and for all ten common types of cancer combined, as well as the proportions for all types of psychotropic medications combined and separately for antidepressants, anxiolytics, sedatives, and antipsychotics.
The overall rate of use during the first 180-day period was 20.88 % in the population that survived at least 180 days. Among the four drug classes, sedatives were most commonly prescribed for each type of cancer except prostate cancer; antidepressants were the second most common for each type of cancer except prostate cancer. Because many patients with prostate cancer used imipramine for enuresis, and imipramine is classified as an antidepressant, antidepressants were the drug class most commonly prescribed for prostate cancer.
Lung cancer patients had the highest overall use of psychotropic mediation in the first 180 days, as 30.1 % of them took medication regularly. Head and neck cancer patients ranked second at 28.1 %. The lowest proportion of regular use, 13.3 %, was for patients with skin cancer.
The overall use of medication for psychological distress decreased slightly over time during the first 2.5-year period after diagnosis (Fig. 2). Patients with liver cancer showed an increasing trend for the use of medication, while patients with oral cancer showed a decreasing trend. Both lung cancer and prostate cancer patients had a high use of medication, and both of these groups showed a fluctuating trend in use. Both genders showed similar trends (data not shown).

Factors associated with regular use of psychotropic medication in the first 180-day period after diagnosis

Table 3 shows the factors associated with regular use of psychotropic medication in the first 180 days after diagnosis in male cancer patients. Compared to skin cancer, oral cancer (odds ratio (OR) = 2.8, p < 0.001) and lung cancer (OR = 2.7, p < 0.001) were associated with a significantly greater use of psychotropic medication. Prostate cancer (OR = 2.5, p < 0.001) and stomach cancer (OR = 1.4, p < 0.001) were also associated with greater use of medication. Comorbidity at the time of cancer diagnosis was also associated with a higher level of medication use (OR = 1.1, p < 0.01). Male cancer patients in big cities appeared to use medication less (OR = 0.8, p < 0.01). The region of location of NHI registration was also an influential factor.
Table 3
Factors associated with regular use of psychotropic medications in the first 180-day period after the diagnosis of cancer, for male patients who survived 180 days
Explanatory variables
OR
 
95 % CI
The type of cancer at diagnosisa (reference: skin cancer)
 Colon cancer
1.322
 
0.999–1.748
 Liver cancer
1.243
 
0.931–1.659
 Oral cancer
2.789
***
2.100–3.705
 Lung cancer
2.666
***
2.001–3.551
 Prostate cancer
2.521
***
1.908–3.329
 Stomach cancer
1.429
*
1.050–1.944
Age in years (reference <35)
 35–44
1.063
 
0.815–1.387
 45–54
1.083
 
0.840–1.398
 55–64
1.112
 
0.859–1.439
 65–74
1.096
 
0.843–1.426
 75–84
0.850
 
0.645–1.120
 ≧85
0.837
 
0.571–1.227
Region of the NHI registration location at the onset of cancer (reference: East)
 Taipei region
0.811
 
0.647–1.017
 North except Taipei
0.686
**
0.542–0.867
 Central
0.822
 
0.657–1.028
 South
0.667
***
0.532–0.836
 The farthest south (Kaohsiung and Ping-Tung)
0.590
***
0.468–0.742
Urbanization level of the NHI registration location at the onset of cancer (reference: remote or rural area)
 Big city
0.825
**
0.724–0.940
 Small city or town
0.919
 
0.818–1.033
Occupation type in the NHI registry at the onset of cancer (reference: NHI registration through farmers/fishermen/crewmen unions)
 Government employee or teacher
0.938
 
0.747–1.178
 NHI registration through employers of other types
0.984
 
0.839–1.154
 NHI registration through labor unions
1.112
 
0.959–1.290
 Veterans or their dependents
0.953
 
0.641–1.416
 Family dependents with no jobs
1.256
 
0.833–1.894
 NHI registration through local governments
1.007
 
0.840–1.207
 Members of families in poverty/residents in religious or charitable institutions
1.152
 
0.714–1.858
Salary class in the NHI registry at the onset of cancer (reference: the bottom tertile of the population)
 The middle tertile
0.959
 
0.835–1.102
 The top tertile
0.910
 
0.799–1.037
Comorbidity (reference: none)
 Some comorbidity
1.116
**
1.027–1.212
No. of observations
15,634
 Breast cancer
1.260
 
0.917–1.733
 Colon cancer
1.283
 
0.929–1.773
 Cervical cancer
1.644
**
1.181–2.288
 Lung cancer
2.592
***
1.859–3.614
 Liver cancer
1.530
*
1.070–2.188
 Stomach cancer
1.448
 
0.999–2.099
 Uterus cancer
1.263
 
0.870–1.834
 Oral cancer
2.049
**
1.353–3.103
Age in years (reference <35)
 35–44
1.486
**
1.130–1.954
 45–54
1.826
***
1.401–2.381
 55–64
1.768
***
1.347–2.322
 65–74
1.623
**
1.223–2.152
 75–84
1.402
*
1.034–1.899
 ≧85
1.722
*
1.115–2.660
Region of the NHI registration location at the onset of cancer (reference: East)
 Taipei region
1.078
 
0.804–1.445
 North except Taipei
0.781
 
0.575–1.061
 Central
0.927
 
0.690–1.246
 South
0.938
 
0.698–1.262
 The farthest south (Kaohsiung and Ping-Tung)
0.912
 
0.676–1.230
Urbanization level of the NHI registration location at the onset of cancer (reference: remote or rural area)
 Big city
0.897
 
0.761–1.057
 Small city or town
0.965
 
0.830–1.121
Occupation type in the NHI registry at the onset of cancer (reference: NHI registration through farmers/fishermen/crewmen unions)
 Government employee or teacher
0.746
*
0.580–0.960
 NHI registration through employers of other types
0.835
*
0.701–0.994
 NHI registration through labor unions
0.864
 
0.729–1.024
 Veterans or their dependents
0.798
 
0.418–1.525
 Family dependents with no jobs
1.231
 
0.826–1.835
 NHI registration through local governments
0.814
*
0.663–0.998
 Members of families in poverty/residents in religious or charitable institutions
0.948
 
0.534–1.682
Salary class in the NHI registry at the onset of cancer (reference: bottom tertile of the population)
 The middle tertile
0.880
 
0.765–1.012
 The top tertile
0.874
 
0.758–1.008
Comorbidity (reference: none)
 Some comorbidity
1.002
 
0.903–1.111
No. of observations
13,342
Log-likelihood ratio test statistic for model significance
Wald χ 2 (31) = 191.35***
 
CI confidence interval, OR odds ratio
*p < 0.05, **p < 0.01, ***p < 0.001
Regarding factors associated with the regular use of psychotropic medication in the first 180 days after diagnosis by female cancer patients, compared to skin cancer, lung cancer (OR = 2.6, p < 0.001), oral cancer (OR = 2.0, p < 0.01), cervical cancer (OR = 1.6, p < 0.01), and liver cancer (OR = 1.5, p < 0.05) were all associated with a greater use of psychotropic medication (details not shown). Women under 35 used less medication (p < 0.05). Women with better occupations (e.g., government employees, teachers, or employees with regular employers) or women with NHI registration through local governments also tended to use less medication (p < 0.05).

Long-term patterns of use of medication by cancer patients who survived at least 2.5 years after diagnosis

With regard to the pattern of long-term use of psychotropic medication shown in Table 4, on average, 4.8 % of all patients used psychotropic drugs regularly in all five 180-day periods, while 62.8 % had no period with regular use in all five 180-day periods.
Table 4
Long-term use of psychotropic medications by patients with different types of cancer, for those who survived at least 2.5 years after the diagnosis
Male patients’ major cancer types
Colon (n = 3125)
Oral (n = 2657)
Prostate (n = 1635)
Liver (n = 1485)
Stomach (n = 710)
Lung (n = 617)
Skin (n = 411)
P value for χ 2 test
Regular use for all the five 180-day periods
3.17 (n = 99)
5.12 (n = 136)
7.58 (n = 124)
4.11 (n = 61)
3.94 (n = 28)
6.48 (n = 40)
1.95 (n = 8)
297.357*
No period with regular use
59.94 (n = 1873)
53.07 (n = 1410)
41.47 (n = 678)
55.42 (n = 823)
60.56 (n = 430)
46.19 (n = 285)
64.48 (n = 265)
 
Regular use in earlier periods
6.88 (n = 215)
12.16 (n = 323)
11.80 (n = 193)
5.12 (n = 76)
7.32 (n = 52)
10.70 (n = 66)
6.81 (n = 28)
 
Regular use in later periods
7.30 (n = 228)
5.83 (n = 155)
8.69 (n = 142)
7.88 (n = 117)
6.90 (n = 49)
7.78 (n = 48)
7.79 (n = 32)
 
Sporadic regular use or non-regular use
22.72 (n = 710)
23.82 (n = 633)
30.46 (n = 498)
27.47 (n = 408)
21.27 (n = 151)
28.85 (n = 178)
18.98 (n = 78)
 
Female patients’ major cancer types
Breast ( n = 5156)
Colon ( n = 2049)
Cervical ( n = 1379)
Uterus ( n = 587)
Lung ( n = 491)
Liver ( n = 473)
Stomach ( n = 347)
Skin ( n = 322)
P value for χ 2 test
Regular use for all the five 180-day periods
3.49 (n = 180)
4.05 (n = 83)
3.48 (n = 48)
3.24 (n = 19)
7.13 (n = 35)
5.29 (n = 25)
4.03 (n = 14)
1.86 (n = 6)
139.80*
No period with regular use
61.17 (n = 3154)
55.54 (n = 1138)
55.98 (n = 772)
61.67 (n = 362)
41.55 (n = 204)
50.74 (n = 240)
55.04 (n = 191)
60.87 (n = 196)
 
Regular use in earlier periods
8.13 (n = 419)
6.64 (n = 136)
9.57 (n = 132)
7.16 (n = 42)
9.78 (n = 48)
6.77 (n = 32)
8.36 (n = 29)
5.59 (n = 18)
 
Regular use in later periods
5.59 (n = 288)
7.71 (n = 158)
5.95 (n = 82)
6.30 (n = 37)
7.33 (n = 36)
8.46 (n = 40)
7.49 (n = 26)
7.76 (n = 25)
 
Sporadic regular use or non-regular use
21.63 (n = 1115)
26.06 (n = 534)
25.02 (n = 345)
21.64 (n = 127)
34.22 (n = 168)
28.75 (n = 136)
25.07 (n = 87)
23.91 (n = 77)
 
*p < 0.001
Comparison among types of cancer indicates that lung and prostate cancer patients were the two groups at higher risk for persistent regular use of psychotropic medication. Males with oral cancer patients also showed high use in the early periods after the diagnosis.
Supplemental Table S2.1 presents factors associated with persistent regular use of psychotropic medications in the five 180-day periods after the diagnosis in male cancer patients. Compared to skin cancer, lung cancer (OR = 3.8, p < 0.001), oral cancer (OR = 3.1, p < 0.01), and prostate cancer (OR = 2.7, p < 0.01) were associated with significantly greater use of psychotropic medication. Comorbidity at the time of the diagnosis of cancer was also related to a higher level of medication use (OR = 1.3, p < 0.01). No demographic or socioeconomic factors were statistically significant for male cancer patients with regard to level of drug use.
Data about the use of psychotropic medications in the five 180-day periods after the diagnosis by female cancer patients are shown in Supplemental Table S2.2. Lung cancer (OR = 3.7, p < 0.001) was associated with a higher demand for psychiatric medication. Comorbidity at the time of the diagnosis was also associated with a higher level of medication use (OR = 1.4, p < 0.05). Compared to women in the bottom salary tertile in the NHI registry, women in a higher salary grade tended to use less medication (p < 0.05).

Discussion

Among cancer patients who survived at least 180 days after the diagnosis, 20.9 % used psychotropic medication regularly during that period, and sedatives were used most frequently. The proportion of patients who used psychotropic mediation regularly remained stable over the 2.5 years after the diagnosis. Among patients who survived at least 2.5 years, 4.8 % still used psychotropic medications on a regular basis. Lung cancer and prostate cancer were associated with such persistent use.
Instead of examining the use of psychotropic medication during a specific period of cancer treatment, this study investigated the regular use of these drugs after the diagnosis and focused on patients with newly diagnosed cancer and newly diagnosed psychological distress. In Taiwan, the Distress Thermometer has become a routine screening tool used with cancer patients nationwide, and hospitals provide psychosocial support accordingly [24]. In a survey administered to 1579 patients admitted for cancer treatment, 51 % reported that they had been prescribed at least one psychotropic medication [14]. A longitudinal 8-month follow-up study of Chinese women after surgery for breast cancer [25] showed a declining trend in psychological distress after surgery, but 49 % of their study participants had psychological distress over those 8 months. Some Western studies reported similar findings [26]. A large survey of newly diagnosed cancer patients (n = 4496) showed that the overall prevalence rate of psychological distress was 35.1 %, and the rates for different types of cancer varied; the rates were 43.4 % for lung cancer, 35.4 % for liver cancer, 35.1 % for head and neck cancer, 31.6 % for colon cancer, 30.5 % for prostate cancer, and 29.6 % for gynecological cancer [3].
Our study found that 20.9 % of patients who survived at least 180 days used psychiatric medication in those first 180 days. Because our study focused on the regular use of psychotropic medication, and controlled for the influences of pre-existent malignancy and mental problems, it is not surprising that we found lower prevalence rates for the use of psychotropic medications than the surveys mentioned above.

Clusters of psychological symptoms and classes of psychiatric drugs in cancer patients

Major symptoms of psychological distress among cancer patients include sleep disturbance, anxiety, depression, and somatization [14]. As shown in one prospective study, 36.6 % of cancer patients reported symptoms of insomnia, and 43 % met the diagnostic criteria for insomnia syndrome during their first cycle of chemotherapy [27]. Our results with regard to the distribution of classes of psychotropic medications clearly demonstrated this. In the first 180-day period after the diagnosis, sedatives for insomnia were the most commonly prescribed drugs.
Patients with different types of cancer showed different trends in the regular use of medication for psychological distress over time after the diagnosis. Two types of cancer were particularly noteworthy: liver cancer and oral cancer. Among patients with liver cancer, the proportion of regular use was 17.0 % in the first 180-day period, and it increased to 23.0 % in the fifth 180-day period. For patients with oral cancer, the proportion was 28.1 % in the first 180-day period, and it decreased to 20.2 % in the fifth 180-day period. Determination of the reasons for this difference requires further study.
Information about an individual patient’s long-term pattern of the regular use of medication sheds light on the types of cancer associated with persistent psychological distress. Our data indicated that 4.75 % of cancer patients who survived for at least 2.5 years had persistent psychological distress, and patients with lung or prostate cancer were more likely to continue to use psychotropic medications. Without specific data for individual patients, the reasons for persistent distress are unknown. A previous study showed that the prevalence of psychological distress did not change during the year after curative resection in patients with lung cancer [28]; however, a recent study by Braun et al. [9] found that the level of psychological distress among 5-year cancer survivors was no different from that of cancer-naïve controls. Epstein et al. [29] did note that heavy drinking and heavy smoking were associated with both depression and specific types of cancer; however, information about a history of drinking or smoking was not available to us. Our study provides some indication of the prevalence of distress in the intervening years; however, the determination of which patients may be at risk for psychological distress requires further study.
Clinically, Hammerlid et al. reported a high incidence of anxiety soon after the diagnosis of head and neck cancer, and depression reached a peak about 3 months after the initial treatment of these patients; the rates of both returned to near pre-treatment levels within 12 months. [30]. Similarly, our results showed a high demand for medication for psychological distress (28 %) in the first 6 months after diagnosis and a lower level of demand (23 %) thereafter. Cancer therapy including surgery, radiation, and chemotherapy or combinations of these can be an important factor since treatment is often finished within 6 months. These first 6 months for newly diagnosis head and neck cancer patients are the most crucial period for psychological support and a systematic assessment of patients’ distress and need for supportive care is important.
On the other hand, we found that patients with lung cancer and prostate cancer used psychotropic medication regularly (approximately 30 %) during both the short time interval and the long time interval. Dinh et al. reported the association between androgen deprivation therapy and depression in patients with localized prostate cancer, and the risk of depression increased with the duration of that therapy from 12 % with fewer than 6 months of treatment, to 26 % with 7 to 11 months, and 37 % with longer than 12 months of treatment [31]. A survey done in England by Ream et al. found high levels of psychological distress in men living with prostate cancer for 2 to 24 months prior to the survey and receiving various kinds of treatment; however, they did not mention the trend of this unmet need [32]. Our findings showed a consistent high level of medication use as a result of psychological distress for a long period of time. Although we were unable to identify the treatment modality for each patient with prostate cancer, the Cancer Registry did show that a majority of our patients had undergone androgen deprivation therapy by surgery, radiation, hormonal therapy, or a combination of these. A strategy to improve long-term health-related quality of life including the need for medication for psychological distress is clearly warranted for men with prostate cancer.
In our study, patients with lung cancer showed a trend in medication use similar to that of patients with prostate cancer. Rauma et al. reported a permanent reduction in health-related quality of life including depression and psychological distress among survivors of non-small cell lung cancer. [33] A high percentage of lung cancer in Taiwan is adenocarcinoma, however [34]. This suggests that an assessment for psychological distress is important but also depends on the type of cancer and the therapeutic modality [35].
This study did have several limitations. Neither clinical diagnoses of the psychological disorders nor the stage of cancer at the time of diagnosis was cited. Treatment modalities and treatment outcomes were not noted in the record. There was no comparison data for the use of psychotropic medications by the general population. Because patients with a catastrophic illness registry card receive all medications without copayment from their surgeon, oncologist, and/or psychiatrist, there is no information as to whether the prescription was initiated by a physician or requested by the patient. The specialties of the prescribing physicians were not indicated; however, a previous study showed that missed rates of psychiatric morbidity did not differ significantly by physician specialty or primary cancer site [36]. Finally, the assumption that medication prescription equals medication consumption is not always the case. The trend of the demand in this report, however, indicated that physicians prescribed medications when patients required them and stopped prescribing them when they did not.

Conclusions

This longitudinal study found that the type of cancer was significantly associated with the use of psychotropic drugs after the diagnosis. It provided information on the trajectory of that use and found that a small number of patients were still using these medications after 2.5 years. The findings highlighted the need for ongoing assessments of the level of psychological distress among cancer patients.

Acknowledgments

This study was supported by intramural funding from the National Health Research Institutes, Taiwan. The study is based on data provided by the National Health Insurance Administration, Ministry of Health and Welfare, Taiwan. The interpretation and conclusions shown in this paper do not represent those of the National Health Research Institutes or the National Health Insurance Administration, Ministry of Health and Welfare, Taiwan.

Compliance with ethical standard

Conflict of interest

The authors declare that they have no competing interests.
Open Access This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Unsere Produktempfehlungen

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

© Springer Medizin

Bis 11. April 2024 bestellen und im ersten Jahr 50 % sparen!

Literatur
1.
Zurück zum Zitat Parkin DM, Bray F, Ferlay J, Pisani P (2001) Estimating the world cancer burden: Globocan 2000. Int J Cancer 94:153–156CrossRefPubMed Parkin DM, Bray F, Ferlay J, Pisani P (2001) Estimating the world cancer burden: Globocan 2000. Int J Cancer 94:153–156CrossRefPubMed
2.
Zurück zum Zitat Keller M, Sommerfeldt S, Fischer C et al (2004) Recognition of distress and psychiatric morbidity in cancer patients: a multi-method approach. Ann Oncol 15:1243–1249CrossRefPubMed Keller M, Sommerfeldt S, Fischer C et al (2004) Recognition of distress and psychiatric morbidity in cancer patients: a multi-method approach. Ann Oncol 15:1243–1249CrossRefPubMed
3.
Zurück zum Zitat Zabora J, Brintzenhofeszoc K, Curbow B, Hooker C, Piantadosi S (2001) The prevalence of psychological distress by cancer site. Psychooncology 10:19–28CrossRefPubMed Zabora J, Brintzenhofeszoc K, Curbow B, Hooker C, Piantadosi S (2001) The prevalence of psychological distress by cancer site. Psychooncology 10:19–28CrossRefPubMed
4.
Zurück zum Zitat Braun IM, Rao SR, Pirl WF (2012) Comparison of self-reported cognitive difficulties in a national sample of long-term cancer survivirs and cancer-naïve controls. Psychosomatics 53:68–74CrossRefPubMed Braun IM, Rao SR, Pirl WF (2012) Comparison of self-reported cognitive difficulties in a national sample of long-term cancer survivirs and cancer-naïve controls. Psychosomatics 53:68–74CrossRefPubMed
5.
Zurück zum Zitat Ng CG, Boks MP, Smeets HM, Zainal NZ, deWit NJ (2009) Prescription patterns for psychotropic drugs in cancer patients: a large population study in the Netherlands. Psychooncology 22:762–767CrossRef Ng CG, Boks MP, Smeets HM, Zainal NZ, deWit NJ (2009) Prescription patterns for psychotropic drugs in cancer patients: a large population study in the Netherlands. Psychooncology 22:762–767CrossRef
6.
Zurück zum Zitat Hoffman KE, McCarthy EP, Recklitis CJ, Ng AK (2009) Psychological distress in long-term survivors of adult-onset cancer: results from a national survey. Arch Intern Med 169:1274–1281CrossRefPubMed Hoffman KE, McCarthy EP, Recklitis CJ, Ng AK (2009) Psychological distress in long-term survivors of adult-onset cancer: results from a national survey. Arch Intern Med 169:1274–1281CrossRefPubMed
7.
Zurück zum Zitat Harrington CB, Hansen JA, Moskowitz M, Todd BL, Feuerstein M (2010) It’s not over when it’s over:long-term symptoms in cancer survivors—a systematic review. Int J Psychiatry Med 40:163–181CrossRefPubMed Harrington CB, Hansen JA, Moskowitz M, Todd BL, Feuerstein M (2010) It’s not over when it’s over:long-term symptoms in cancer survivors—a systematic review. Int J Psychiatry Med 40:163–181CrossRefPubMed
8.
Zurück zum Zitat Greer JA, Solis JM, Temel JS et al (2012) Anxiety disorders in long-term survivors of adult cancers. Psychosomatics 53:68–74CrossRef Greer JA, Solis JM, Temel JS et al (2012) Anxiety disorders in long-term survivors of adult cancers. Psychosomatics 53:68–74CrossRef
9.
Zurück zum Zitat Braun IM, Rao SR, Meyer FL, Fedele G (2015) Patterns of psychiatric medication use among nationally representative long-term cancer survivors and controls. Cancer 121:132–138CrossRefPubMed Braun IM, Rao SR, Meyer FL, Fedele G (2015) Patterns of psychiatric medication use among nationally representative long-term cancer survivors and controls. Cancer 121:132–138CrossRefPubMed
10.
Zurück zum Zitat Harrison SE, Watson EK, Ward AM et al (2011) Primary health and supportice care needs of long-term cancer survivors; a questionnaire survey. J Clin Oncol 29:2091–2098CrossRefPubMed Harrison SE, Watson EK, Ward AM et al (2011) Primary health and supportice care needs of long-term cancer survivors; a questionnaire survey. J Clin Oncol 29:2091–2098CrossRefPubMed
11.
Zurück zum Zitat Williams S, Dale J (2006) The effectiveness of treatment for depression/depressive symptoms in adults with cancer: a systematic review. Br J Cancer 94:372–390CrossRefPubMedPubMedCentral Williams S, Dale J (2006) The effectiveness of treatment for depression/depressive symptoms in adults with cancer: a systematic review. Br J Cancer 94:372–390CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Rodin G, Lloyd N, Katz M et al (2007) The treatment of depression in cancer patients: a systematic review. Support Care Cancer 15:123–136CrossRefPubMed Rodin G, Lloyd N, Katz M et al (2007) The treatment of depression in cancer patients: a systematic review. Support Care Cancer 15:123–136CrossRefPubMed
13.
Zurück zum Zitat Lund LW, Winther JF, Cederkvist L et al (2015) Increased risk of antidepressant use in childhood cancer survivors: a Danish population-based cohort study. Eur J Cancer 51:674–684CrossRef Lund LW, Winther JF, Cederkvist L et al (2015) Increased risk of antidepressant use in childhood cancer survivors: a Danish population-based cohort study. Eur J Cancer 51:674–684CrossRef
14.
Zurück zum Zitat Derogatis LR, Feldstein M, Morrow G et al (1979) A survey of psychotropic drug prescriptions in an oncology population. Cancer 44:1919–1929CrossRefPubMed Derogatis LR, Feldstein M, Morrow G et al (1979) A survey of psychotropic drug prescriptions in an oncology population. Cancer 44:1919–1929CrossRefPubMed
15.
Zurück zum Zitat Thekdi SM, Trinidad A, Roth A (2015) Psychopharmacology in cancer. Curr Psychiatry Rep 17:529CrossRefPubMed Thekdi SM, Trinidad A, Roth A (2015) Psychopharmacology in cancer. Curr Psychiatry Rep 17:529CrossRefPubMed
18.
Zurück zum Zitat Cramer JA, Benedict A, Muszbek N, Keskinaslan A, Khan ZM (2008) The significance of compliance and persistence in the treatment of diabetes, hypertension and dyslipidaemia: a review. Int J Clin Pract 62:76–87CrossRefPubMedPubMedCentral Cramer JA, Benedict A, Muszbek N, Keskinaslan A, Khan ZM (2008) The significance of compliance and persistence in the treatment of diabetes, hypertension and dyslipidaemia: a review. Int J Clin Pract 62:76–87CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Sikka R, Xia F, Aubert RE (2005) Estimating medication persistency using administrative claims data. Am J Manag Care 11:449–457PubMed Sikka R, Xia F, Aubert RE (2005) Estimating medication persistency using administrative claims data. Am J Manag Care 11:449–457PubMed
20.
Zurück zum Zitat Conlin PR, Gerth WC, Fox J, Roehm JB, Boccuzzi SJ (2001) Four-year persistence patterns among patients initiating therapy with the angiotensin II receptor antagonist losartan versus other antihypertensive drug classes. Clin Ther 23:1999–2010CrossRefPubMed Conlin PR, Gerth WC, Fox J, Roehm JB, Boccuzzi SJ (2001) Four-year persistence patterns among patients initiating therapy with the angiotensin II receptor antagonist losartan versus other antihypertensive drug classes. Clin Ther 23:1999–2010CrossRefPubMed
21.
Zurück zum Zitat Chong WW, Aslani P, Chen TF (2011) Effectiveness of interventions to improve antidepressant medication adherence: a systematic review. Int J Clin Pract 65:954–975CrossRefPubMed Chong WW, Aslani P, Chen TF (2011) Effectiveness of interventions to improve antidepressant medication adherence: a systematic review. Int J Clin Pract 65:954–975CrossRefPubMed
22.
Zurück zum Zitat Soares M, Salluh JI, Ferreira CG, Luiz RR, Spector N, Rocco JR (2005) Impact of two different comorbidity measures on the 6-month mortality of critically ill cancer patients. Intensive Care Med 31:408–415CrossRefPubMed Soares M, Salluh JI, Ferreira CG, Luiz RR, Spector N, Rocco JR (2005) Impact of two different comorbidity measures on the 6-month mortality of critically ill cancer patients. Intensive Care Med 31:408–415CrossRefPubMed
23.
Zurück zum Zitat Li L-A (2004) A study on the order of the degree of urbanisation among the Lo Chi-Hon Strata of Taiwan counties. Surv Res Method Appl 15:5–30 Li L-A (2004) A study on the order of the degree of urbanisation among the Lo Chi-Hon Strata of Taiwan counties. Surv Res Method Appl 15:5–30
24.
Zurück zum Zitat Wang GL, Hsu SH, Feng AC et al (2011) The HADS and the DT for screening psychosocial distress of cancer patients in Taiwan. Psychooncology 20:639–646CrossRefPubMed Wang GL, Hsu SH, Feng AC et al (2011) The HADS and the DT for screening psychosocial distress of cancer patients in Taiwan. Psychooncology 20:639–646CrossRefPubMed
25.
Zurück zum Zitat Lam WW, Chan M, Ka HW, Fielding R (2007) Treatment decision difficulties and post-operative distress predict persistence of psychological morbidity in Chinese women following breast cancer surgery. Psychooncology 16:904–912CrossRefPubMed Lam WW, Chan M, Ka HW, Fielding R (2007) Treatment decision difficulties and post-operative distress predict persistence of psychological morbidity in Chinese women following breast cancer surgery. Psychooncology 16:904–912CrossRefPubMed
26.
Zurück zum Zitat Mosher CE, Duhamel KN (2012) An examination of distress, sleep, and fatigue in metastatic breast cancer patients. Psychooncology 21:100–107CrossRefPubMed Mosher CE, Duhamel KN (2012) An examination of distress, sleep, and fatigue in metastatic breast cancer patients. Psychooncology 21:100–107CrossRefPubMed
27.
Zurück zum Zitat Palesh OG, Roscoe JA, Mustian KM et al (2010) Prevalence, demographics, and psychological associations of sleep disruption in patients with cancer: University of Rochester Cancer Center-Community Clinical Oncology Program. J Clin Oncol 28:292–298CrossRefPubMed Palesh OG, Roscoe JA, Mustian KM et al (2010) Prevalence, demographics, and psychological associations of sleep disruption in patients with cancer: University of Rochester Cancer Center-Community Clinical Oncology Program. J Clin Oncol 28:292–298CrossRefPubMed
28.
Zurück zum Zitat Uchitomi Y, Mikami I, Nagai K, Nishiwaki Y, Akechi T, Okamura H (2003) Depression and psychological distress in patients during the year after curative resection of non-small-cell lung cancer. J Clin Oncol 21:69–77CrossRefPubMed Uchitomi Y, Mikami I, Nagai K, Nishiwaki Y, Akechi T, Okamura H (2003) Depression and psychological distress in patients during the year after curative resection of non-small-cell lung cancer. J Clin Oncol 21:69–77CrossRefPubMed
29.
Zurück zum Zitat Epstein JF, Induni M, Wilson T (2009) Patterns of clinically significant symtoms of depression among heavy users of alcohol and cigarettes. Prev Chronic Dis 6:A09PubMed Epstein JF, Induni M, Wilson T (2009) Patterns of clinically significant symtoms of depression among heavy users of alcohol and cigarettes. Prev Chronic Dis 6:A09PubMed
30.
Zurück zum Zitat Hammerlid E, Ahlner-Elmqvist M, Bjordak K et al (1999) A prospective multicentre study in Sweden and Norway of mental distress and psychiatric morbidity in head and neck cancer patients. Br J Cancer 80(5e6):766e74 Hammerlid E, Ahlner-Elmqvist M, Bjordak K et al (1999) A prospective multicentre study in Sweden and Norway of mental distress and psychiatric morbidity in head and neck cancer patients. Br J Cancer 80(5e6):766e74
31.
Zurück zum Zitat Dinh KT, Reznor G, Muralidhar V, et al. (2016) Association of androgen deprivation therapy with depression in localized prostate cancer. p.JC0641969. Dinh KT, Reznor G, Muralidhar V, et al. (2016) Association of androgen deprivation therapy with depression in localized prostate cancer. p.JC0641969.
32.
Zurück zum Zitat Ream E, Quennell A, Fincham L et al (2008) Supportive care needs of men living with prostate cancer in England: a survey. Br J Cancer 98:1903–1909CrossRefPubMedPubMedCentral Ream E, Quennell A, Fincham L et al (2008) Supportive care needs of men living with prostate cancer in England: a survey. Br J Cancer 98:1903–1909CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat Rauma V, Sintonen H, Rasanen JV, Salo JA, Ilonen IK (2015) Long-term cancer survivors have permanently decreased quality of life after surgery. Clin Lung Cancer 16:40–45CrossRefPubMed Rauma V, Sintonen H, Rasanen JV, Salo JA, Ilonen IK (2015) Long-term cancer survivors have permanently decreased quality of life after surgery. Clin Lung Cancer 16:40–45CrossRefPubMed
34.
Zurück zum Zitat Yang JC, Shih JY, Su WC et al (2012) Afatinib for patients with lung adenocarcinoma and epidermal growth factor receptor mutations (LUX-Lung 2): a phase 2 trial. Lancet Oncol 13:539–548CrossRefPubMed Yang JC, Shih JY, Su WC et al (2012) Afatinib for patients with lung adenocarcinoma and epidermal growth factor receptor mutations (LUX-Lung 2): a phase 2 trial. Lancet Oncol 13:539–548CrossRefPubMed
35.
Zurück zum Zitat Liao WY, Shun SC, Yu CJ, Yang PC, Lai YH (2011) Symptoms, psychological distress, and supportive care needs in lung cancer patients. Support Care Cancer 19:1743–1751CrossRefPubMed Liao WY, Shun SC, Yu CJ, Yang PC, Lai YH (2011) Symptoms, psychological distress, and supportive care needs in lung cancer patients. Support Care Cancer 19:1743–1751CrossRefPubMed
36.
Zurück zum Zitat Fallowfield L, Ratcliffe D, Jenkins V, Saul J (2001) Psychiatric morbidity and its recognition by doctors in patients with cancer. Br J Cancer 84:1011–1015CrossRefPubMedPubMedCentral Fallowfield L, Ratcliffe D, Jenkins V, Saul J (2001) Psychiatric morbidity and its recognition by doctors in patients with cancer. Br J Cancer 84:1011–1015CrossRefPubMedPubMedCentral
Metadaten
Titel
Short- and long-term use of medication for psychological distress after the diagnosis of cancer
verfasst von
Cheng-Hsu Wang
Lynn Chu Huang
Chen-Chang Yang
Chi-Liang Chen
Yiing-Jenq Chou
Yen-Yuan Chen
Wei-Chih Yang
Likwang Chen
Publikationsdatum
26.10.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Supportive Care in Cancer / Ausgabe 3/2017
Print ISSN: 0941-4355
Elektronische ISSN: 1433-7339
DOI
https://doi.org/10.1007/s00520-016-3456-z

Weitere Artikel der Ausgabe 3/2017

Supportive Care in Cancer 3/2017 Zur Ausgabe

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.