Evidence map›Paper›PMID 39237946›Full record

ArticleCost effectiveness and resource allocation : C/E2024

The direct cost of chronic kidney disease (CKD) reported in Asian countries; a systematic literature review.

Memoona Nisar, Zermina Tasleem, Sohail Ayaz Muhammad, Asma Javid, Muhammad Fawad Rasool, Hidayah Karuniawati, Saleh Karamah Al-Tamimi, Anees Ur Rehman

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Article in Cost effectiveness and resource allocation : C/E, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Memoona NisarDepartment of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan.
Zermina TasleemDepartment of Political Sciences, Bahauddin Zakariya University, Multan, Pakistan.
Sohail Ayaz MuhammadSchool of Management Sciences, University Sains Malaysia, Penang, Malaysia.
Asma JavidDepartment of Zoology, University of Education Lahore, Multan Campus, Lahore, Pakistan.
Muhammad Fawad RasoolDepartment of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan.
Hidayah KaruniawatiDepartment of Pharmacology and Clinical Pharmacy, Universitas Muhammadiyah Surakarta, Surakarta, Indonesia. hk170@ums.ac.id.
Saleh Karamah Al-TamimiFaculty of Pharmacy, University of Aden, Aden, Yemen. salehk810@gmail.com.
Anees Ur RehmanDepartment of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan. aneesurrehmanr90@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe direct and indirect costs of chronic kidney disease (CKD) are substantial and increase over time. Concerns regarding our capacity to manage the financial burden that CKD) places on patients, caregivers, and society are raised by its increasing prevalence and progression. Lack of awareness of CKD's economic effects is a major reason that lawmakers and administrators pay little attention to this chronic illness.

objectiveWe aimed to analyze the direct burden of CKD across Asian countries and evaluate the main cost drivers among all mentioned cost centers in previous studies. METHODOLOGY: Related works evaluating the expenditures of CKD from the perspective of the patient were interpreted by a thorough search of PUBMED and GOOGLE SCHOLAR.

resultsCountry-wise, in Asia, the direct mean average medical costs in RRT patients were reported in 8 studies as $4574, $18668, $2901, $6848, $16669, $3489, $5945, and $6344 in Singapore, Korea, Taiwan, China, Jordan, Vietnam, Lebanon, and India respectively and the direct mean average medical costs in non-RRT patients were reported in six studies as $3412, $2241, $4534, $290 and $1500 in Singapore, Japan, China, Vietnam, and India respectively.

conclusionHemodialysis is the main cost driver having an average mean cost of $23,358 per patient per year while the average mean cost of disease management is $4977 per patient per year. More research is needed to understand the specific economic challenges disadvantaged populations face, including the impact of income, education, and access to healthcare resources on the financial burden of CKD.

Indexed as

CKDDirect burdenESKDESRDHemodialysisKidney disease management

Identifiers

PMID39237946
PMCPMC11378577

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.