PREDICTING QUALITY OF LIFE IN HAEMODIALYSIS PATIENTS

Objective: To document quality of life in haemodialysis patients and to determine predictive factors. Study Design: Cross sectional study. Place and Duration of Study: Department of Nephrology, Pak Emirates Military Hospital Rawalpindi, from Oct to Nov 2016. Material and Methods: Pati...

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Autores principales:	Abdul Rehman Arshad, Ghayas Khan, Zakria Amjad, Batool Butt, Farrukh Islam, Mohsin Qayyum, Isma Kiyani
Formato:	article
Lenguaje:	EN
Publicado:	Army Medical College Rawalpindi 2019
Materias:	sickness impact profile renal replacement therapy Medicine R Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/3676da499fbd49d98cbe46cd7d0d958f
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spelling	oai:doaj.org-article:3676da499fbd49d98cbe46cd7d0d958f2021-11-16T05:09:20ZPREDICTING QUALITY OF LIFE IN HAEMODIALYSIS PATIENTS0030-96482411-8842https://doaj.org/article/3676da499fbd49d98cbe46cd7d0d958f2019-02-01T00:00:00Zhttps://www.pafmj.org/index.php/PAFMJ/article/view/2518/2073https://doaj.org/toc/0030-9648https://doaj.org/toc/2411-8842Objective: To document quality of life in haemodialysis patients and to determine predictive factors. Study Design: Cross sectional study. Place and Duration of Study: Department of Nephrology, Pak Emirates Military Hospital Rawalpindi, from Oct to Nov 2016. Material and Methods: Patients undergoing maintenance haemodialysis were selected by convenience sampling. Patients with acute kidney injury, those on infrequent HD, those on dialysis for less than three months and unwilling patients were excluded. Kidney Disease Quality of Life Short Form Version 1.3 was administered in direct face-to-face interviews. The effects of age, gender, level of education, duration on haemodialysis, smoking, marital status, frequency of dialysis per week, body mass index, presence of comorbid conditions, residence, availability of attendant, type of vascular access and household income on quality of life indices was studied. Results: There were a total of 109 patients, having a mean age of 50.22 ± 13.73 years. Out of these, 86 (78.90%) were males. Mean physical composite score, mental composite score and kidney disease component summary score were 33.41 ± 6.85, 46.10 ± 5.89 and 65.00 ± 6.11 respectively. Adequate physical composite score, mental composite score and kidney disease component summary score were attained by 8.26%, 22.94% and 49.54% patients respectively. A higher level of education predicted a higher mental composite score and a younger age predicted a better kidney disease component summary score. None of the factors studied could predict higher physical composite score. Conclusion: Haemodialysis patients had a poor quality of life. Older age and a lower level...........Abdul Rehman ArshadGhayas KhanZakria AmjadBatool ButtFarrukh IslamMohsin QayyumIsma KiyaniArmy Medical College Rawalpindiarticlesickness impact profilerenal replacement therapyMedicineRMedicine (General)R5-920ENPakistan Armed Forces Medical Journal, Vol 69, Iss 1, Pp 175-181 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	sickness impact profile renal replacement therapy Medicine R Medicine (General) R5-920
spellingShingle	sickness impact profile renal replacement therapy Medicine R Medicine (General) R5-920 Abdul Rehman Arshad Ghayas Khan Zakria Amjad Batool Butt Farrukh Islam Mohsin Qayyum Isma Kiyani PREDICTING QUALITY OF LIFE IN HAEMODIALYSIS PATIENTS
description	Objective: To document quality of life in haemodialysis patients and to determine predictive factors. Study Design: Cross sectional study. Place and Duration of Study: Department of Nephrology, Pak Emirates Military Hospital Rawalpindi, from Oct to Nov 2016. Material and Methods: Patients undergoing maintenance haemodialysis were selected by convenience sampling. Patients with acute kidney injury, those on infrequent HD, those on dialysis for less than three months and unwilling patients were excluded. Kidney Disease Quality of Life Short Form Version 1.3 was administered in direct face-to-face interviews. The effects of age, gender, level of education, duration on haemodialysis, smoking, marital status, frequency of dialysis per week, body mass index, presence of comorbid conditions, residence, availability of attendant, type of vascular access and household income on quality of life indices was studied. Results: There were a total of 109 patients, having a mean age of 50.22 ± 13.73 years. Out of these, 86 (78.90%) were males. Mean physical composite score, mental composite score and kidney disease component summary score were 33.41 ± 6.85, 46.10 ± 5.89 and 65.00 ± 6.11 respectively. Adequate physical composite score, mental composite score and kidney disease component summary score were attained by 8.26%, 22.94% and 49.54% patients respectively. A higher level of education predicted a higher mental composite score and a younger age predicted a better kidney disease component summary score. None of the factors studied could predict higher physical composite score. Conclusion: Haemodialysis patients had a poor quality of life. Older age and a lower level...........
format	article
author	Abdul Rehman Arshad Ghayas Khan Zakria Amjad Batool Butt Farrukh Islam Mohsin Qayyum Isma Kiyani
author_facet	Abdul Rehman Arshad Ghayas Khan Zakria Amjad Batool Butt Farrukh Islam Mohsin Qayyum Isma Kiyani
author_sort	Abdul Rehman Arshad
title	PREDICTING QUALITY OF LIFE IN HAEMODIALYSIS PATIENTS
title_short	PREDICTING QUALITY OF LIFE IN HAEMODIALYSIS PATIENTS
title_full	PREDICTING QUALITY OF LIFE IN HAEMODIALYSIS PATIENTS
title_fullStr	PREDICTING QUALITY OF LIFE IN HAEMODIALYSIS PATIENTS
title_full_unstemmed	PREDICTING QUALITY OF LIFE IN HAEMODIALYSIS PATIENTS
title_sort	predicting quality of life in haemodialysis patients
publisher	Army Medical College Rawalpindi
publishDate	2019
url	https://doaj.org/article/3676da499fbd49d98cbe46cd7d0d958f
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PREDICTING QUALITY OF LIFE IN HAEMODIALYSIS PATIENTS

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