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Can case management improve cancer patients quality of life?
Author(s) -
Yanan Yin,
Yun Wang,
Ni-jie Jiang,
Derong Long
Publication year - 2020
Publication title -
medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 148
eISSN - 1536-5964
pISSN - 0025-7974
DOI - 10.1097/md.0000000000022448
Subject(s) - medicine , randomized controlled trial , data extraction , intervention (counseling) , medline , quality of life (healthcare) , population , quality management , health care , family medicine , nursing , surgery , management system , operations management , environmental health , political science , law , economics , economic growth
Background: Cancer patients are associated with a series of long lasting and stressful treatments and experiencing, and case management (CM) has been widely used and developed with the aim to increase the quality of treatments and improve the patient care services. The purpose of this review is to identify and synthesize the evidence of randomized controlled trial studies to prove that case management could be one way to address the quality of life of cancer patients. Methods: We performed a literature search in 4 electronic bibliographic databases and snowball searches were performed to ensure a complete collection. Two review authors independently extracted and analyzed data. A data extraction form was used to collect the characteristics of case management intervention, report outcomes, and quality assessment. Results: Our searches identified 3080 articles, of which 7 randomized controlled trials met the inclusion criteria. The intervention was varied from the target population, measurement tools, duration of intervention, and so on, and 5 studies consistently showed improvement in the intervention group compared with control groups, no significant difference was found between health care costs of case management care services and the routine care services. Conclusion: There is some evidence that case management can be effective in cancer patients quality of life. However, due to the heterogeneity in the target population, measurement tools, and results applied, no conclusion can be made from a meta-analysis on the present bias. More rigorously multi-centered randomized controlled studies should be provided with detailed information about intervention in future research.

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