Evidence map›Paper›PMID 24584617›Full record

ArticlePeritoneal dialysis international : journal of the International Society for Peritoneal Dialysis

Development and Testing of Self-Management Scale for PD Patients.

Xiao-hua Wang, Jian-hong Pang, Lu Lin, Yi Xu, Qing Jiang, Qi Wang, Guo-yuan Lu, Nian-song Wang

Abstract read
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Article in Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

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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.

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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.

Xiao-hua WangThe First Affiliated Hospital of Soochow University/School of Nursing, Soochow University, Suzhou 215006, China.
Jian-hong PangJiangsu Shengze Hospital, Suzhou 215228, China.
Lu LinThe First Affiliated Hospital of Soochow University/School of Nursing, Soochow University, Suzhou 215006, China.
Yi XuSchool of Nursing, Soochow University, Suzhou 215006, China.
Qing JiangDepartment of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Qi WangSchool of Nursing, Soochow University, Suzhou 215006, China.
Guo-yuan LuDepartment of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Nian-song WangDepartment of Nephrology, The 6th People's Hospital affiliated to Shanghai Jiaotong University, Shanghai 200233, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop and evaluate the self-management scale for peritoneal dialysis (PD) patients.

methodsThe item pool was formulated based on literature reviews and in-depth interviews. An initial scale containing five factors and 44 items was constructed through two rounds of Delphi expert consultation and a preliminary test. A total of 313 PD patients from the Jiangsu-Zhejiang-Shanghai area were surveyed to test the reliability and validity of the scale.

resultsFive factors, namely solution bag replacement, troubleshooting during operation, diet management, complication monitoring, emotion management and return to social life, were extracted by exploratory factor analysis: the 28 items could explain 64.567% of the total variance; the content validity index was 0.963; the Cronbach's α coefficient and split-half coefficient were 0.926 and 0.960 respectively; and test-retest reliability was 0.937.

conclusionThe scale has been proved to be a reliable and valid tool which allows PD nurses to evaluate the self-management ability of PD patients. The evaluation outcomes can serve as a basis for individualized nursing plans and interventions so as to provide highly effective nursing care.

Indexed as

Disease ManagementPeritoneal DialysisFemaleHumansMaleMiddle AgedReproducibility of ResultsSelf CareSurveys and QuestionnairesPDreliabilityself-managementvalidity

Identifiers

PMID24584617
PMCPMC4443993

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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.