The Palliative Care Needs, Quality Of Life and Coping Strategies among Oncology Patients And End Stage Organ Disease
J. Jaslina Gnanarani1*, Dr. Latha Venkatesan2
1Reader, Apollo College of Nursing, Chennai
2Principal, Apollo College of Nursing, Chennai
*Corresponding Author Email: jasbas12@gmail.com
ABSTRACT:
KEY WORDS: Palliative care needs, Cancer, quality of life , Anxiety , depression, end stage organ disease.
INTRODUCTION:
NEED OF THE STUDY:
Advanced heart failure (HF), defined by the American College of Cardiology and the American Heart Association as stage D, is the end of the HF disease spectrum in which symptoms are present at rest despite optimal medical management. Heart failure is the third most common cardiovascular disease in the US affecting 2 per cent of the U.S. population, or almost 5 million people. More than 500,000 new cases are diagnosed each year.. Around 30 to 40 per cent of patients die from heart failure within 1 year after receiving the diagnosis. Hunt (2009). As HF enters advanced stage, physical and spiritual sufferings increase at the same time that patients face a crisis.
“SEEK- Screening and Early Evaluation of Kidney Disease” (2012) , reported a very high prevalence of 17.4% of CKD . The Indian CKD Registry has 63,538 patients enrolled, 70% of them males and 73.6% of them have CKD stage 4 and 5. These patients experience symptoms such as nausea, lethargy, pain, constipation and have increased requirement for palliative care.
Figure 1. General trajectories of function and well-being over time in eventually fatal chronic illness.
Courtesy JAMA 2001. ;285:925-32. 2001 American Medical Association.
It is apparent that the palliative approach which focuses on symptom management, maintenance of a reasonable quality of life, good communication, and practical and emotional support for the family carers is necessary and should be routinely integrated into a range of chronic debilitating illnesses like Cancers, AIDS and degenerative neurological disorders and also for heart disease, chronic lung disease, dementia, stroke and ESRD. It has been only recently realized that this population might have an equally poor health status, and have palliative needs similar to the oncology population with symptoms like fatigue, anxiety, anorexia, constipation and Dyspnea. Etc. But their needs that qualify them to receive comfort care or palliative care were not recognized or met.
Studies conducted previously focused on the quality of life and the variety of coping strategies of patients with Cancers only. Since the early 1990s many studies have been published outlining the unmet needs of these patients. Recently some studies have compared the needs of patients with non malignant disease and cancer to identify the similarities and differences. In 2009. O Leary conducted a cross-sectional comparative cohort study of palliative care needs among 50 HF patients and 50 cancer patients. Result showed that both patient cohorts were statistically identical in terms of symptom burden, emotional wellbeing, and quality-of-life scores.
A review of a number of studies was helpful to identify the gap in integration of palliative care and this study was undertaken to further explore on the gap in main streaming care for non malignant illnesses..So the aim of the study was to know Palliative care Needs, Psychological morbidity, Quality of Life, Coping Strategies and Satisfaction with Care among Patients with Cancer and End stage Organ diseases.
So A comparative Cohort study to assess the Palliative care Needs, Psychological morbidity, Quality of Life, Coping Strategies and Satisfaction with Care among Patients with Cancer and End stage Organ diseases was undertaken at a selected Hospital, Chennai with the following objectives.
OBJECTIVES:
• To assess and compare the Palliative care needs, Psychological morbidity, Quality of Life, Coping strategies and satisfaction with care among the Patients with Cancer and End stage Organ diseases.
• To determine the association between the Palliative care needs, Psychological morbidity, Quality of Life, Coping strategies, satisfaction with Care demographic and clinical variables of Patients with Cancer and End stage Organ diseases.
A cross-sectional comparative cohort study was carried out at Apollo Main Hospitals and Apollo Specialty Hospitals, Chennai between July 2011 and December 2011. Eligible patients were 30 patients with cancer and end stage diseases totaling 30 with 6 patients categorized under each : COPD, ESRD, DCLD, HF and CVA diagnosed by Primary Consultant based on the following diagnostic criteria with the evaluation by clinical findings and biochemical test, ultrasound / radiology Imaging.
• Severe COPD (forced expiratory volume in one second (FEV1) <0.75l by Spirometry and hospitalization.
• Chronic Kidney Disease Stage IV or V undergoing thrice-weekly hemodialysis,
• Decompensated Liver Disease –Pugh Child Classification: Grade C (Score 10-15)
• Heart Disease NYHA Class II to IV Failure
• CVA, AHA>SOC) Neurological Domain1, Severity of impairment B or more, level of functioning 2 or more
• were selected using purposive sampling technique.
Patients aged 18-80 years, males and female, can understand Tamil / English / Bengali and patients who qualified with a score of more than 4 in the JCIA Palliative Screening tool were enrolled consecutively into the study. Exclusion criteria were the concomitant presence of hepatic encephalopathy, malignancy, GCS<14, on Mechanical Ventilation and those who refused to participate in the study.
The study protocol was approved by the Hospital Ethical Committee and it was carried out according to the ICMR Guidelines. Written informed consent was obtained prior to the study.
METHODOLOGY:
Materials and Methods
The baseline data was collected from the patient and their family care givers as informants and patient records and recorded in demographic variable and clinical variable proforma. The participants were asked to respond to the self administered questionnaire.
HRQL instruments (dependent variables):
The short-form 36 (SF-36) heath survey was self-administered to the study participants. The SF-36 consists of 36 items and constituted by two scales, the physical health scale comprising of the domains of physical functioning, role-physical, bodily pain and general health. The mental health scale which comprises of the 4 domains of vitality, social functioning, role-emotional and mental health. The scores range from 0 to 100 with higher scores reflecting a better perception of health. The domain scores were calculated according to standard reference.
Hospital Anxiety and Depression Scale (HADS)
Psychological problems can influence the Quality of life and so the anxiety and depression was assessed by the Hospital Anxiety and Depression Scale (HADS). It is a brief scale with seven items evaluating anxiety (HADS-A) and seven items to measure depression (HADS-D)].. Internal consistency (Cronbach's alpha) was computed for the HADS-A and HADS-D and determined to be 0.83 and 0.71 respectively.
Social Support Likert Scale.
Self reported data from patient or family members in response to questions on Availability of medication, Supportive equipment etc, information regarding disease and treatment and Agencies for social support was verified by observation and documentation.
Patients were asked to grade their satisfaction on a categorical scale of 1–7 where 7 represented “extremely satisfied” and 1 “extremely dissatisfied”.
Craven Coping strategies Scale
The coping strategies used by these patients were evaluated using the Standardized Craven Coping strategies Scale with 60 items Survey Instrument in which participants were asked to rate the frequency of use of a particular coping strategy both positive and negative .
Analysis of Data
Statistical data: Data was analysed by Descriptive and Inferential statistics using the Statistical Package for the Social Sciences (SPSS.7).
RESULTS AND DISCUSSION:
Demographic Characteristics of the study population
The majority were male (62.7%, 73.3 %), Married (100%,93.3%), had more than Higher Secondary education, belonged to middle income group of more than Rs.30,000 p.m (80%, 76.6%), in both groups but the socioeconomic status of CLD group was lower, and could be due to inability to go to regular work.
Clinical Variables
Table :1 Clinical Variables of Cancer Patients and Patients with End Stage Disease.
Clinical Variables
|
Patients With Cancer
|
Patients with End Organ Disease |
||
|
N |
% |
N |
% |
ECOG |
||||
4 |
24 |
80 |
8 |
24.2 |
5 |
6 |
20 |
16 |
48.5 |
6 |
|
|
6 |
18.2 |
Body Mass Index |
|
|
|
|
19 – 24.9 kg/m2 |
22 |
73.3 |
17 |
56.4 |
25 – 29.9 kg/m2 |
8 |
26.6 |
13 |
43.6 |
Comorbid Conditions |
||||
No |
22 |
73.3 |
20 |
71.4 |
Yes |
6 |
20 |
8 |
26.6 |
DM/ HT |
- |
- |
- |
- |
BA/COPD/APD |
- |
- |
- |
- |
Site |
||||
Head and Neck andNeuro |
5 |
16.6 |
6 |
20 |
Gastro intestinal |
4 |
13.3 |
- |
- |
Reproductive Organs |
8 |
26.4 |
- |
- |
Genito Urinary |
4 |
13.3 |
6 |
20 |
Hematopoietic |
5 |
16.6 |
- |
- |
Respiratory |
4 |
13.3 |
6 |
20 |
Cardiovascular |
- |
- |
6 |
20 |
Staging |
||||
Stage 0 |
|
|
|
|
Stage I |
11 |
36.7 |
- |
- |
Stage II |
19 |
63.3 |
- |
- |
Stage III |
- |
- |
16 |
48.3 |
Stage IV |
- |
- |
14 |
51.7 |
Chemotherapy |
18 |
60 |
- |
-- |
Radiation therapy |
12 |
40 |
- |
- |
Any other- Specify |
- |
- |
30 |
100 |
Breathlessness |
||||
No |
25 |
83.3 |
24 |
80 |
Yes on O2 |
5 |
16.6 |
6 |
20 |
Fatigue |
||||
Non debilitating |
21 |
70 |
18 |
60 |
Debilitating |
9 |
30 |
12 |
40 |
ADL |
||||
Completely Independent |
26 |
86.7 |
14 |
46.6 |
Requires assistance or assistive devices |
4 |
13.3 |
16 |
58.54 |
Pain |
||||
No pain or mild bearable pain |
23 |
79 |
21 |
70 |
Pain and require Use of other Adjuvant Medication |
7 |
21 |
9 |
30 |
Pain and Non Pharmacological /Complementary Therapies |
- |
- |
- |
- |
Sleep disturbances |
||||
Nil or Rare |
22 |
72.6 |
20 |
70 |
Moderate often |
8 |
26.4 |
10 |
30 |
Nausea |
||||
No |
15 |
50 |
17 |
57.7 |
Yes |
15 |
50 |
13 |
43.3 |
Nutritional Problem |
||||
Normal |
20 |
66.6 |
16 |
58.4 |
NG/ Gatrostomy/ Jejunostomy/ TPN |
10 |
33.3 |
14 |
46.6 |
Bowel Pattern |
||||
Regular |
25 |
83.4 |
22 |
72.6 |
Constipation |
5 |
16.6 |
8 |
26.4 |
Bowel or bladder Management |
||||
Managed self or with Condom / CBD/ |
27 |
90 |
24 |
80 |
Incontinent or Colostomy |
3 |
10 |
6 |
20 |
* P < 0.05 **p < 0.01***p < 0.001
A Significant percentage of patients (26.6%, 43.6%) had a BMI of >25% which may not reflect the Nutritional status but more on fluid retention associated with End Stage Renal, Liver or Heart Disease. The majority of end stage had Dyspnea (16.6%,20%) , Pain (21%, 30%), Nausea (50%, 43.3%), Constipation (16.6%, 26.4%), Debilitating Fatigue (30%, 40%), Sleep Disturbances (26.4%, 30%) nutritional problem (33.3%,46.6%) , Incontinence (10%,20%) compared to patients with cancer.
Fig : 2 depicts the Anxiety and Depression as measured by Health Anxiety and Depression Scale (HADS) for the two groups.
Two group comparison of The Hospital Anxiety and Depression Scale (HADS) scores of 50 patients with severe COPD and 50 patients with non resectable non-small cell lung cancer (NSCLC) by Gore, J.M. (2000) suggested that 90% of patients with COPD suffered clinically relevant anxiety or depression compared with 52% of patients with NSCLC.
It has been repeatedly reported that the Quality of Life Patients with cancer is poor. Quality of life can change day to day. End stage organ diseases patients with had increased level of Palliative care needs and lower quality of life compared to patients with Cancers especially in the social and Overall (global) as seen in fig : 3.
Gore, J.M. (2000) reported a study comparing 50 patients with severe COPD and 50 patients with non resectable non-small cell lung cancer (NSCLC) of Quality of life tools, semi-structured interviews, and review of documentation. The results reveal that patients with COPD had significantly worse activities of daily living and physical, social, and emotional functioning than the patients with NSCLC (p<0.05).
The Hospital Anxiety and Depression Scale (HADS) scores suggested that 90% of patients with COPD suffered clinically relevant anxiety or depression compared with 52% of patients with NSCLC.
Variables |
Patients With Cancer
|
Patients with End Organ Disease |
‘t’ Value |
||
Mean |
S.D |
Mean |
S.D |
|
|
Medical |
4.23 |
0.77 |
3.36 |
0.85 |
4.162 |
Financial |
2.07 |
0.58 |
1.66 |
0.66 |
|
Social /Community |
2.06 |
0.45 |
1.43 |
0.73 |
|
Communication |
3.77 |
0.63 |
4.16 |
0.95 |
|
Information |
2.5 |
0.51 |
3.27 |
0.58 |
|
Total Satisfaction |
14.63 |
1.56 |
13.9 |
1.95 |
1.60 |
* p < 0.05, ** p< 0.01, *** p<0.001
In the study reported by Gore, J.M. (2000) and Colleagues Patients reported satisfaction with medical care received. With regard to social support, while 30% of patients with NSCLC received help from specialist palliative care services, none of the patients with COPD had access to a similar system of specialist care. Both groups reported a lack of information from professionals regarding diagnosis, prognosis and social support.
Coping Strategies used by Patients with Cancers and other end stage diseases.
Table;3 Coping strategies used by Patients with Cancer and Other End Stage Disease
Type of Coping |
Oncology |
End organ disease |
||||||||||||||
No |
%
|
Little |
% |
Medi |
% |
Lot |
% |
No |
% |
Little |
% |
Medium % |
% |
Lot |
% |
|
Positive Reinterpretation |
0 |
0 |
3 |
10 |
12 |
40 |
9 |
30 |
0 |
0 |
6 |
20 |
15 |
50 |
12 |
40 |
Mental Disengagement |
12 |
30 |
12 |
40 |
0 |
0 |
0 |
0 |
9 |
30 |
15 |
50 |
3 |
10 |
0 |
0 |
Venting of Emotions |
6 |
20 |
9 |
30 |
9 |
30 |
0 |
|
9 |
30 |
12 |
40 |
9 |
30 |
0 |
0 |
Social Support |
0 |
0 |
3 |
10 |
12 |
40 |
9 |
30 |
0 |
0 |
6 |
20 |
12 |
40 |
9 |
30 |
Active Coping |
0 |
0 |
3 |
10 |
18 |
60 |
3 |
10 |
0 |
0 |
9 |
30 |
15 |
50 |
3 |
10 |
Denial |
12 |
40 |
6 |
20 |
6 |
20 |
0 |
0 |
9 |
30 |
12 |
40 |
12 |
40 |
0 |
0 |
Religious Coping |
0 |
0 |
0 |
0 |
0 |
|
24 |
|
0 |
0 |
0 |
0 |
3 |
10 |
24 |
80 |
Humor |
15 |
50 |
6 |
20 |
3 |
10 |
0 |
0 |
18 |
60 |
0 |
0 |
0 |
0 |
12 |
40 |
Behavioural Disengagement |
3 |
10 |
9 |
30 |
6 |
20 |
0 |
0 |
6 |
20 |
0 |
0 |
0 |
0 |
0 |
0 |
Restraint |
0 |
0 |
6 |
20 |
15 |
50 |
3 |
10 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
10 |
Use of Emotional andsocial Support |
0 |
0 |
6 |
20 |
18 |
60 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Substance Abuse |
9 |
30 |
15 |
50 |
0 |
0 |
0 |
0 |
12 |
40 |
9 |
30 |
0 |
0 |
0 |
0 |
Acceptance |
0 |
0 |
6 |
20 |
12 |
40 |
2 |
|
0 |
0 |
6 |
20 |
15 |
50 |
3 |
10 |
Support of Competitive Activities |
3 |
10 |
3 |
10 |
15 |
50 |
3 |
10 |
6 |
20 |
3 |
10 |
12 |
40 |
3 |
10 |
Planning |
0 |
0 |
3 |
10 |
18 |
60 |
3 |
10 |
6 |
20 |
3 |
10 |
15 |
50 |
3 |
10 |
As depicted in table: 3, Most of the participants reported that they used positive strategies such as Mental Disengagement, Venting of Emotions, Social Support, Active Coping and Religious coping. Gore, J. M. (2000) and Colleagues reported that only 4% in each group were formally assessed or treated for mental health problems.
Factors influencing the Quality of Life Association Between Selected Clinical Variables and Quality of life in Control and Experimental Group of Cancer Patients.
None of the background factors influenced the quality
of life among patients with Cancer and End Stage Organ diseases like age,
education, occupation, income, (P< .05). However there was association in
the clinical variables with regard to Pain ,nausea , incontinence, decreased
mobility and poorer Quality of life (p<.05). Hence the null hypothesis H04
was accepted. The findings are validated in the findings by Sherman DW(2007)
who compared,101 patients with advanced illness (cancer, AIDS) and 81 Family
caregivers, and identified that all comprised of similar clinical
characteristics and had similar symptom experiences.
IMPLICATIONS:
Care should be taken to meet the palliative care needs of patients and improve the quality of life of the patients with Cancers as well as other End Stage Disease. The curriculum for Nursing should give emphasis to palliative care to relieve suffering. The use of positive coping strategies is necessary to ease the burden of disease.
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Received on 10.12.2015 Modified on 25.12.2015
Accepted on 27.01.2016 © A&V Publications all right reserved
Asian J. Nur. Edu. and Research. 2016; 6(3): 371-376
DOI: 10.5958/2349-2996.2016.00069.0