3.1 Characteristics of Study Participants
As shown in Table 1, The sociodemographic characteristics of the 316 brain tumor participants who aged over sixty are reported which including 65.19% female patients and 60.12% brain tumor patient respectively. For marital status:around two-thirds participants had married,15.83% divorced,11.39% unmarried,8.86% lost their spouse. Over 70% participantshave a junior high school education or below,only 24 had a bachelor /postgraduate/PhD degree. Although only 17.21% participants were urban resident, 76.9% participants had their own private housing. What’s more ,the type of medical insurance of participants were related to their residence,82.28% were new rural cooperative medical insurance,22.71% were medical insurance for non-working urban residents, only 6.01% were medical insurance for working urban residents.
Social and Demographic Characteristics
|
n(%)
|
Age,years
|
|
30-39
|
18(5.69%)
|
40-49
|
20(6.32%)
|
50-59
|
88(27.84%)
|
60-69
|
97(30.69%)
|
70-79
|
72(22.78%)
|
80-89
|
21(6.64%)
|
Sex
|
|
Male
|
110(34.81%)
|
Female
|
206(65.19%)
|
Marital status
|
|
Married
|
202(63.92%)
|
Divorced
|
50(15.83%)
|
Unmarried
|
36(11.39%)
|
Widowed
|
28(8.86%)
|
Educational Qualifications
|
|
Junor middle school or less
|
229(72.47%)
|
Senior high school
|
63(19.94%)
|
College or more
|
24(7.59%)
|
Residence
|
|
Rural
|
260(82.29%)
|
City
|
56(17.21%)
|
Type of housing
|
|
Private housing
|
243(76.9%)
|
Retal housing
|
22(6.96%)
|
Children's housing
|
51(16.14%)
|
Religious belief
|
|
None
|
234(74.05%)
|
Have
|
82(25.95%)
|
Children
|
|
None
|
61(19.3%)
|
Have
|
255(80.7%)
|
Type of medical insuranse
|
|
New rural cooperative medical insurance
|
260(82.28%)
|
Medical insurance for non-working urban residents
|
37(11.71%)
|
Medical insurance for working urban residents
|
19(6.01%)
|
Who will cover your medical expenses?
|
|
Own
|
110(34.81%)
|
Children or spouse
|
206(65.19%)
|
Table 1
Characteristics of Brain Cancer Patients(n=316)
The tumor-related characteristics of the 316 participants are reported in Table 2. Over two-third participants were brain metastases, of which the site of primary tumor, lung cancer were 32.27%,breast were 35.75%.In primary brain tumor, nearly quarter were glioma, only three patients were meningioma and one patients was brain lymphoma. When participants did our interview,73.74% participants were receiving radiotherapy ,8.22% were receiving surgery and 14.55% were receiving medicine, only 11 participants were undergoing support treatment.Slightly more than one-half participants were were ill less than 12 months,but there were still 18.68% participants lived over 25 months. Only 26.27% brain tumor patients in good general condition which KPS score was over 80 ,over 70% brain tumor patients had a poor KPS score which was less than 80 and even less than 50.
Morbid Characteristics
|
n(%)
|
Type of brain tumor
|
|
Glioma
|
78(24.68%)
|
Meningioma
|
3(9.49%)
|
Lymphoma
|
5(1.58%)
|
Brain Metastases
|
|
From lung cancer
|
102(32.27%)
|
From breast cancer
|
113(35.75%)
|
From other cancer
|
15(4.73%)
|
Treatment currently receiving
|
|
Surgery
|
26(8.22%)
|
Radiotherapy
|
233(73.74%)
|
Medicine
|
46(14.55%)
|
Support treatment
|
11(3.49%)
|
Duration of illness
|
|
1month or less
|
81(25.63%)
|
2months to 6months
|
32(10.13%)
|
7months to 12months
|
54(17.08%)
|
12months to 24months
|
90(28.48%)
|
25 months or more
|
59(18.68%)
|
Symptoms
|
|
Headache
|
181(57.27%)
|
epilepsy
|
21(6.65%)
|
Movement disorders
|
78(24.69%)
|
Language disorders
|
36(11.39%)
|
KPS scores
|
|
<50
|
37(11.71%)
|
60-79
|
196(62.02%)
|
>80
|
83(26.27%)
|
KPS scores,Karnofsky scores.
|
Table 2
General Condition of Brain Cancer Patients(n=316)
3.2 Advance Directives
Knowledge ,attitudes and preferences of advance directives were summarized in Table 3. A very low proportion of brain tumor patients had ever heard of AD,88.61% had never heard of AD. But after introducing the concept of advance directives to them, almost two-third participants would like to make an AD. As shown in Table 3, the main reason for those willing to make an AD were to ensure more comfortable at the end of life and reduce the financial burden on the family. For those who would not like to make an AD, the key reason was not familiar with the concept of advance directivesor they thought doctors(30.91%) or family member would decide for them.
3.3 Predictors of AD
Bivariate analyses identified knowledge of AD, receiving the treatment of surgery or radiotherapy, less than 70 years old, male, educational qualification of college or more, without children, medical insurance for non-working or working urban residents, pay their medical expenses by themselves as significant predictors of preferring to make an AD. Table 4 shows the results of binary logistic regression model.
3.4 End of Life Care
Table 5 shows attitudes and preferences toward end of life care.79.43% participants would like the medical staff to discuss end-of-life arrangements with them.63.29% were willing to receive end-of-life care though it cannot delay death. Over one-half brain tumor patients wanted resuscitation, while 27.21% didn’t, besides 6.97% participants were not sure. If patients were in a persistent vegetative state, as high as 45.45% thought they didn’t need life support, whereas 50.63% agreed with life support , furthermore 7.92% participants couldn’t make up their mind.
Questions
|
Answers
|
n%
|
Would you like the medical staff to discuss your illness and end-of-life arrangements directly with you?
|
Yes
|
251(79.43%)
|
|
No
|
65(20.57%)
|
If you are at the end of life, are you willing to receive end-of-life care?Although it cannot delay death.
|
Yes
|
200(63.29%)
|
|
No
|
116(36.71%)
|
At the end of your life, do you want your doctor to resuscitate you through resuscitation (cardiopulmonary resuscitation, electrical defibrillation, endotracheal intubation, tracheotomy)?
|
Yes
|
208(65.82%)
|
|
No
|
86(27.21%)
|
|
Not sure
|
22(6.97%)
|
Do you need life support (including nutritional support such as tube feeding or percutaneous endoscopic gastrojejunostomy, broad-spectrum antibiotics, blood transfusions, ventilator assisted ventilation) if you are in a persistent vegetative state (such as brain tumor progression)?
|
Yes
|
131(41.45%)
|
|
No
|
160(50.63%)
|
|
Not sure
|
25(7.92%)
|
Table 5
Knowledge and Preferences of End-of-Life care Among the Study Participants(n=316)
3.5 Predictors of EOL Care
Bivariate analyses identified brain primary tumor, less than 70 years old, male, educational qualification of junior middle school or less, have children, new rural cooperative medical insurance, pay their medical expenses by their children or spouse as significant predictors of choosing end of life care . Table 6 shows the results of binary logistic regression model.
Independent Predictors
|
OR
|
95%CI
|
P Value
|
Type of brain tumor
|
|
|
|
Brain Primary Tumor
|
4.242
|
2.220-8.108
|
0.000*
|
Brain Metastases(reference group)
|
1
|
|
|
Age,years
|
|
|
|
30-49
|
0.119
|
0.051-0.277
|
0.000*
|
50-69
|
0.412
|
0.230-0.740
|
0.003*
|
70-89(reference group)
|
1
|
|
|
Sex
|
|
|
|
Male
|
1.911
|
1.156-3.160
|
0.012*
|
Female(reference group)
|
1
|
|
|
Educational Qualifications
|
|
|
|
Junor middle school or less(reference group)
|
1
|
|
|
Senior high school
|
0.376
|
0.213-0.665
|
0.001*
|
College or more
|
0.207
|
0.084-0.506
|
0.001*
|
Residence
|
|
|
|
Rural
|
1.054
|
0.577-1.923
|
0.865
|
City(reference group)
|
1
|
|
|
Children
|
|
|
|
None(reference group)
|
1
|
|
|
Have
|
1.955
|
1.056-3.611
|
0.033*
|
Type of medical insuranse
|
|
|
|
New rural cooperative medical insurance
|
6.435
|
2.065-20.050
|
0.001*
|
Medical insurance for non-working urban residents
|
3.187
|
0.888-11.447
|
0.076
|
Medical insurance for working urban residents (reference group)
|
1
|
|
|
Who will cover your medical expenses?
|
|
|
|
Own(reference group)
|
1
|
|
|
Children or spouse
|
4.131
|
2.531-6.744
|
0.000*
|
OR,odds ratio;CI,confidence interval.*p<0.05
|
Table 6
Binary Logistic Regression Model Predicting End-of-Life Care(n=316)