| Unique ID issued by UMIN | UMIN000051554 |
|---|---|
| Receipt number | R000058247 |
| Scientific Title | Identifying the profiles of patients and families provided by home-visit nursing services using medical records: A retrospective cohort study |
| Date of disclosure of the study information | 2023/07/10 |
| Last modified on | 2024/04/03 12:56:23 |
Identifying the profiles of patients and families provided by home-visit nursing services using medical records: A retrospective cohort study
Identifying the profiles of patients and families provided by home-visit nursing services using medical records: A retrospective cohort study
Identifying the profiles of patients and families provided by home-visit nursing services using medical records: A retrospective cohort study
Identifying the profiles of patients and families provided by home-visit nursing services using medical records: A retrospective cohort study
| Japan |
Patients and their families receiving home health care services from home-visit nursing agencies
| Nursing |
Others
NO
To identify the following characteristics of the patients and their families who receive home health care services from home-visit nursing agencies using medical records.
1) Medical characteristics at the time of starting to use the home nursing station (ex. age, gender, disease,and use of medical device)
2) Symptoms or conditions, knowledge, behaviors, situations, and care plans of patients and/or their families assessed in home health care services.
3) Utilization of the services one year after receiving the home-visit nursing agencies
Others
To identify the resources invested by home-visit nursing agencies, including duration of the use of home-visit nursing care, frequency of the visits, use during the night and early morning, and the number of medical staff.
Exploratory
Explanatory
Not applicable
Medical characteristics at the time of starting to use the home nursing station (ex. age, gender, disease,and use of medical device)
- Symptoms or conditions, knowledge, behaviors, situations, and care plans of patients and/or their families assessed in home health care services.
- Utilization of the services one year after receiving the home-visit nursing agencies
- The resources invested by home-visit nursing agencies, including duration of the use of home-visit nursing care, frequency of the visits, use during the night and early morning, and the number of medical staff
Observational
| Not applicable |
| Not applicable |
Male and Female
Users who received home health care services from WyL Inc. from 1 January 2017 to 31 December 2022 and who meet all of the following criteria:
1) Those who received the services from the Edogawa or Urawa Office of home-visit nursing agencies in WyL Inc.
2) Those who received the first visit of home care nursing between 1 January 2017 and 31 December 2021.
3) Those whose medical records were registered in the electrical medical record system
People who have refused to allow their data to be used for this study.
500
| 1st name | Ai |
| Middle name | |
| Last name | Tomotaki |
Tokai University
Faculty of Nursing, School of Medicine
259 -1193
143 Shimokasuya, Isehara-shi, Kanagawa, Japan
0463-93-1121
atomotaki-tky@umin.ac.jp
| 1st name | Ai |
| Middle name | |
| Last name | Tomotaki |
Tokai University
Faculty of Nursing, School of Medicine
259 - 1193
143 Shimokasuya, Isehara-shi, Kanagawa, Japan
0463-93-1121
hcdc.info@umin.ac.jp
Tokai University
Seseragi Foundation
Non profit foundation
Japan
WyL Inc.
WyL Group,Inc.
International University of Health and Welfare
Shizuoka Graduate University of Public Health
Tokyo Medical and Dental University
Tokyo University
Institutional Review Board for Clinical Research,Tokai University
Shimokasuya 143, Isehara-shi, Kanagawa, Japan
0463-93-1121
tokai-rec@tsc.u-tokai.ac.jp
NO
WyL株式会社
| 2023 | Year | 07 | Month | 10 | Day |
Unpublished
Completed
| 2023 | Year | 04 | Month | 14 | Day |
| 2023 | Year | 04 | Month | 26 | Day |
| 2023 | Year | 04 | Month | 26 | Day |
| 2023 | Year | 04 | Month | 26 | Day |
1. Study design: Retrospective cohort study
2. Statistical methods
1) Characteristics at the start of the user's use.
- Mean, standard deviation, and percentile values are calculated for continuous data variables.Frequencies and percentiles are calculated for categorical data variables.
- The three domains of the Omaha system (Problem, intervention, and outcome) with a five-point Likert scale will be addressed for both continuous and categorical data, taking into account the distribution of data.
- These data are calculated by some subgroups including age groups(- 6years, 7-18 years, 19-49 years, 50-64 years, 65-74 years, and 75 years-).
2) Administrative data of the home-visit nursing agencies
- The following variables are tabulated: the number and percentage of staff members including nurses, physiotherapists, occupational therapists,and speech therapis, and their age.
- The number of users per office and date of opening the office are described.
3) One-year outcome after using the home nursing station One-year usage from the date of first use
- The number of days until the end of use is calculated using a histogram and the quartiles.
4) Utilization of the home-visit care services for one year
- The histogram and quartiles of days after starting of use of the home-visit care services are described.
- The Kaplan-Meier curves of utilization status including the end due to hospitalisation/admission, cure, and death) are displayed with some subgroups.
| 2023 | Year | 07 | Month | 08 | Day |
| 2024 | Year | 04 | Month | 03 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000058247