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Name:
UMIN ID:

Recruitment status Completed
Unique ID issued by UMIN UMIN000032715
Receipt No. R000037308
Scientific Title Does the scoring patient complexity with COMPRI predict the length of hospital stay? A multicenter study in Japan
Date of disclosure of the study information 2018/05/31
Last modified on 2020/11/21

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Basic information
Public title Does the scoring patient complexity with COMPRI predict the length of hospital stay? A multicenter study in Japan
Acronym Does the scoring patient complexity with COMPRI predict the length of hospital stay? A multicenter study in Japan
Scientific Title Does the scoring patient complexity with COMPRI predict the length of hospital stay? A multicenter study in Japan
Scientific Title:Acronym Does the scoring patient complexity with COMPRI predict the length of hospital stay? A multicenter study in Japan
Region
Japan

Condition
Condition Not applicable
Classification by specialty
Medicine in general Adult
Classification by malignancy Others
Genomic information NO

Objectives
Narrative objectives1 We evaluate the complexity using COMPRI for newly hospitalized patients in five comprehensive internal department wards in the prefecture and analyze the relationship between score and hospitalization period. We also analyze factors contributing to hospitalization retrospectively and clarify the relationship with COMPRI score.
Basic objectives2 Others
Basic objectives -Others Case-control study
Trial characteristics_1 Confirmatory
Trial characteristics_2
Developmental phase

Assessment
Primary outcomes length of hospital stay
Key secondary outcomes

Base
Study type Observational

Study design
Basic design
Randomization
Randomization unit
Blinding
Control
Stratification
Dynamic allocation
Institution consideration
Blocking
Concealment

Intervention
No. of arms
Purpose of intervention
Type of intervention
Interventions/Control_1
Interventions/Control_2
Interventions/Control_3
Interventions/Control_4
Interventions/Control_5
Interventions/Control_6
Interventions/Control_7
Interventions/Control_8
Interventions/Control_9
Interventions/Control_10

Eligibility
Age-lower limit
20 years-old <=
Age-upper limit

Not applicable
Gender Male and Female
Key inclusion criteria We recruit cases admitted to general department of five facilities in Chiba prefecture.
Key exclusion criteria We exclude patients who have been hospitalized or rehospitalized for other departments.
Target sample size 150

Research contact person
Name of lead principal investigator
1st name
Middle name
Last name Daiki Yokokawa
Organization Chiba University Hospital
Division name Department of General Medicine
Zip code
Address 1-8-1, Inohana, Chuo-ku, Chiba city, Chiba pref., Japan
TEL 0432227171
Email dyokokawa6@gmail.com

Public contact
Name of contact person
1st name
Middle name
Last name Daiki Yokokawa
Organization Chiba University Hospital
Division name Department of General Medicine
Zip code
Address 1-8-1, Inohana, Chuo-ku, Chiba city, Chiba pref., Japan
TEL 0432227171
Homepage URL
Email dyokokawa6@gmail.com

Sponsor
Institute Chiba University
Institute
Department

Funding Source
Organization Japan Primary Care Association
Organization
Division
Category of Funding Organization Other
Nationality of Funding Organization

Other related organizations
Co-sponsor
Name of secondary funder(s)

IRB Contact (For public release)
Organization
Address
Tel
Email

Secondary IDs
Secondary IDs NO
Study ID_1
Org. issuing International ID_1
Study ID_2
Org. issuing International ID_2
IND to MHLW

Institutions
Institutions

Other administrative information
Date of disclosure of the study information
2018 Year 05 Month 31 Day

Related information
URL releasing protocol
Publication of results Unpublished

Result
URL related to results and publications
Number of participants that the trial has enrolled
Results
Results date posted
Results Delayed
Results Delay Reason
Date of the first journal publication of results
Baseline Characteristics
Participant flow
Adverse events
Outcome measures
Plan to share IPD
IPD sharing Plan description

Progress
Recruitment status Completed
Date of protocol fixation
2017 Year 05 Month 01 Day
Date of IRB
2017 Year 10 Month 16 Day
Anticipated trial start date
2017 Year 10 Month 01 Day
Last follow-up date
2019 Year 03 Month 31 Day
Date of closure to data entry
Date trial data considered complete
2020 Year 11 Month 20 Day
Date analysis concluded

Other
Other related information 1. Background
COMPRI is a measure of patient complexity and was developed to evaluate and screen the complexity required for treatment planning of inpatients. Validity concerning usefulness in Japan is insufficient and none has been made as a multicenter collaborative research.
2. Purpose
COMPRI evaluates the complexity of newly hospitalized patients in five comprehensive internal department wards in the prefecture and analyzes the relationship between the scores and hospitalization period. We also analyze factors contributing to hospitalization retrospectively and clarify the relationship with COMPRI score.
3. Research design and observation period
Measure the COMPRI score of the inpatient. As a case-control study after discharge, we analyze the relationship between COMPRI score and extension of hospitalization period, and COMPRI and other factors with 14 days of hospitalization cutoff.
4. Setting
We recruit cases admitted to general department of five facilities in Chiba prefecture. We excluded cases that were rehospitalized or hospitalized for other departments. From the previous study, 150 cases was recruited(r = 0.3, alpha 0.01 (two-sided, event occurrence: non occurrence = 1: 2, explanatory variable 5).
5. Interventions or factors
Factors include COMPRI total score (cutoff is 7points), age (cutoff is 65 years old), presence or absence of coexistence of chronic disease, psychiatric disorders, social worker intervention.
6. Main outcome indicator
The hospitalization period at the general internal ward is taken as the main outcome.
7. Statistical analysis method
Perform ROC analysis and Pearson product moment correlation coefficient test for total score and hospital stay using SPSS. We also analyze the relation to the hospitalization period for explanatory variables by multiple logistic regression analysis.

Management information
Registered date
2018 Year 05 Month 25 Day
Last modified on
2020 Year 11 Month 21 Day


Link to view the page
URL(English) https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000037308

Research Plan
Registered date File name

Research case data specifications
Registered date File name

Research case data
Registered date File name


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