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Clinical Study on Screening of Nursing Evaluation Indicators of Stroke Patients

Conditions
Stroke
Interventions
Other: Nursing observation indexes
Registration Number
NCT03650751
Lead Sponsor
Shenzhen Second People's Hospital
Brief Summary

The purpose of this study was to use Delphi method to screen the nursing observation indexes of patients with stroke, and to screen the sensitive indexes with high correlation with the severity of stroke.It is used to guide nursing staff to observe the nursing of patients with cerebral apoplexy.

Detailed Description

Not available

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
300
Inclusion Criteria

①according to the diagnostic criteria which was revisied in 1996 at the fourth national cerebrovascular disease conference,Patients were diagnosed with cerebral apoplexy through computerized tomographic scanning or Magnetic Resonance Imaging examination.

②Patients who volunteer to participate in the study and Sign the consent form.

Exclusion Criteria

①Patients With other serious diseases, such as tumor, grade 2 or above of cardiac function.

②Had a history of mental illnes.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
stroke patients;neurologic impairmentNursing observation indexesIt provides nursing staff with a unified reference standard for nursing observation indicators and sets monitoring and warning values according to the score, which is helpful to improve the timeliness and accuracy of nursing observation for patients with cerebral apoplexy.
Primary Outcome Measures
NameTimeMethod
construct a nursing evaluation system for stroke patientsOctober 1st, 2017 - October 1st, 2018

The nursing indexes of patients with cerebral apoplexy were selected. The nursing observation indexes of stroke patients were digitized and an electronic nursing evaluation sheet was formed.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Shenzhen second people's hospital

🇨🇳

Shenzhen, Guangdong, China

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