U.NO-NU10NGMS04

STATEMENT OF THE PROBLEM

“A correlational study on quality of life and coping strategies among dialysis patients of a selected hospital at Mangalore.’’

OBJECTIVES OF THE STUDY

• To assess the quality of life of dialysis patients in selected hospitals.

• To identify the coping strategies used by the dialysis patients.

• To find out correlation between the quality of life and coping strategies among dialysis patients.

• To find out the association between quality of life and selected demographic variables

HYPOTHESIS

• H1: There will be a significant relationship between quality of life and coping strategy among dialysis patients.

• H2: There will be a significant association between quality of life of dialysis patients and selected demographic variables

BACKGROUND OF THE STUDY

• Dialysis patients are increasing worldwide every day. Itis found that 30-40% of patients with chronic renalfailure undergo dialysis in India. Long-term dialysistherapy itself often results in loss of freedom,dependence on caregivers, disruption of marital,family, and social life, and reduced or loss of financialincome. Due to these reasons, the physical,psychological, socioeconomic, and environmentalaspects of life are negatively affected, leading tocompromised quality of life. haemodialysis patientsused `trying to maintain control' as their most frequentcoping strategy. Hence this present study aimed to findout the correlation between the quality of life & copingstrategies among dialysis patients.

NEED FOR THE STUDY

• ‘Adding life to years and not just years to life’ is as true for ESRD patients as for any other individuals. End stage renal disease (ESRD) is a chronic disease causing high levels of disability in different domains of the patients’ life, leading to impaired quality of life. Renal failure decreases the functional capacity of the patient. Thus, it is a challenge for nurses as well as for other health care providers to help & promote QOL of dialysis patients, despite their health problems. To investigate how health care providers can improve quality of life in dialysis patients.

REVIEW OF LITERATURE

• Literature on coping strategy used by hemodialysis patients

• Literature on Quality of life of dialysis patients.

• Literature on Correlation between quality of life of hemodialysis patient and their coping strategy

CONCEPTUAL FRAMEWORK

RESEARCH DESIGN

SAMPLING

• Purposive sampling technique.

• Sample size:-60 dialysis patients

SAMPLING DESIGN

PILOT STUDY

A pilot study was conducted between 25th July to30th July 2011. The sample size of the pilot studywas 6 in number. The sample possessed samecharacteristics as that of sample for main study.Written consent was taken from the subjects.Data regarding the samples was obtained byadministering them the tool. The Study findingsrevealed that there were no significant differencebetween the quality of life and coping strategy ofdialysis patient.

DATA COLLECTION INSTRUMENTS

• Demographic proforma

• Rating scale on quality of life

• Rating scale on coping strategy

DATA COLLECTION PROCESS

• To conduct the research study in selected hospitals at Mangalore, formal written permission was obtained from Medical superintendent & Dept. of Nephrology. The data collection period extended from 1/8/11 to 31/10/11. An informed consent was taken from all the subjects individually after explaining the objectives and purpose of the study. Confidentiality was assured to the entire subjects to get their co-operation. Subjects were instructed to fill the demographic proforma, Rating Scale on QOL and the rating scale on coping strategy.

RESULTS

• Section 1:-Description of dialysis patients according to the demographic characteristics

• Section 2:-Quality of life of dialysis patients

• Section 3:-Coping strategies used by the dialysis patients.

• Section 4:-Correlation between the quality of life and coping strategies among dialysis patients.

• Section 5:-Association between quality of life and selected demographic variables.

Section 1:-Description of dialysis patients according to the demographic characteristics

Section 2:-Quality of life of dialysis patients

0

5

10

15

20

25

30

35

40

45

Poor QOL Average QOL Good QOL

Series1 19 41 0

19

41

0

Quality of life of dialysis patients

Poor QOL

Average QOL

Good QOL

Section 3:-Coping strategies used by the dialysis patients.

11

49

0

coping strategy of dialysis patients

Good coping

Satisfactory coping

Section 4:-Correlation between the quality of life and

coping strategies among dialysis patients.

Section 5:-Association between quality of life and selected demographic variables

Limitation

• The study was limited to hemodialysis patients who were willing to participate in the study, who were available during the study and those who know Kannada & English.

• The setting for the study was selected by purposive sampling & imposes limits in larger generalization.

• Quality of life and coping is purely based on the verbal reports of the dialysis patients and not through observation.

• No standardized tools were used for the study. • The sample size was minimal (60) and hence, it cannot

be generalized. • The present study was limited to assess the quality of

life & coping strategy of dialysis patient.

RECOMMENDATIONS

On the basis of the present study following recommendations are made;

• Replication of the study could be done with a larger sample to validate and generalize the findings.

• A similar study can be conducted on quality of life & coping strategy among cancer patients.

• A survey of the factors that influence the quality of life and coping strategy of the dialysis patients can be undertaken.

• A similar study can be done in individual domains separately using multiple tools to measure quality of life & coping strategy, rather than using a single scale.

CONCLUSION

The findings of the study revealed that majority of dialysis patients have average quality of life & satisfactory coping. There is a significant relationship between the quality of life & coping strategies in dialysis patients. When the coping strategy scores increases, quality of life of dialysis patients also increases.