Evidence map›Paper›PMID 35326914›Full record

ArticleHealthcare (Basel, Switzerland)2022

Factors Influencing Self-Management among Non-Dialysis Chronic Kidney Disease Patients.

Hayfa Almutary, Nahla Tayyib

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Received Self-Care Support and Psychosocial Health Among Older Adults with Non-Dialysis-Dependent Chronic Kidney Disease.Nephrology nursing journal : journal of the American Nephrology Nurses' Association
    Article
4 · The record

Corrections and comments

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

2 authors.

Hayfa AlmutaryMedical Surgical Nursing Department, Faculty of Nursing, King Abdulaziz University, Jeddah 22246, Saudi Arabia.ORCID 0000-0002-9650-9068
Nahla TayyibNursing Practices Department, Faculty of Nursing, Umm Al-Qura University, Makkah 21955, Saudi Arabia.

Funding

Umm al-Qura University 22-dsr-4280333
6 · The paper itself

Abstract

Aim: The new trend in the management of chronic kidney disease (CKD) is based on the adoption of self-management approaches. However, there is a paucity of research assessing the level of self-management behavior among non-dialysis patients. The aim of the study is to assess the association between self-management behaviors and the level of disease-specific knowledge among non-dialysis CKD patients. In addition, this study aimed to assess the predictors of self-management among non-CKD patients. Methods: A convenience sample of 203 non-dialysis patients with stage 3−5 CKD was surveyed from the nephrology clinics in Saudi Arabia. Descriptive statistics and linear regression were used to analyze the data. Results: The mean level of knowledge and self-management was 17.9 ± 3.2 and 76.9 ± 13.3, respectively. The results of the multiple regression of self-management showed that knowledge was independently associated with self-management (r = 0.51, **, p < 0.001). Conclusions: This study demonstrated that knowledge and self-management were associated with each other in non-dialysis patients. More efforts are needed to track and enhance the knowledge levels in patients with CKD. Future research should focus on the effectiveness of educational programs of self-management behavior.

Indexed as

chronic kidney diseasekidney disease knowledgenon-dialysisnursing careself-management

Identifiers

PMID35326914
PMCPMC8954207

What OpenQuestion holds

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Registered trials

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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.