| Unique ID issued by UMIN | UMIN000062086 |
|---|---|
| Receipt number | R000071036 |
| Scientific Title | Establishment of a Novel Secondary Fracture Prevention Framework Using a Medication Adherence Prediction Scoring System |
| Date of disclosure of the study information | 2026/07/01 |
| Last modified on | 2026/06/28 17:26:57 |
Establishment of a Novel Secondary Fracture Prevention Framework Using a Medication Adherence Prediction Scoring System
Establishment of a Novel Secondary Fracture Prevention Framework Using a Medication Adherence Prediction Scoring System
Establishment of a Novel Secondary Fracture Prevention Framework Using a Medication Adherence Prediction Scoring System
Establishment of a Novel Secondary Fracture Prevention Framework Using a Medication Adherence Prediction Scoring System
| Japan |
Femur Fracture
| Orthopedics |
Others
NO
This study aims to identify the factors influencing medication adherence for each specific drug.
In addition to patient background information, we will also investigate biological and functional factors that determine treatment adherence using saliva-derived biomarkers and body composition assessments (InBody).
Based on the identified factors, we will develop a drug-specific medication adherence prediction scoring system for use in drug selection.
Others
The objectives of this study are; (1) to evaluate treatment adherence rates six months and one year after the initial fracture; (2) to identify factors influencing treatment adherence based on patients' clinical conditions, post-discharge outcomes, and socioeconomic background; and (3) to develop a predictive model for medication adherence using the information obtained in (2).
Exploratory
Pragmatic
Not applicable
Medication adherence rates six months and one year after the initial fracture
Factors affecting medication adherence
Follow-up rates six months and one year after the initial fracture
Factors affecting follow-up rates
Differences in medication adherence rates with and without pharmacist intervention
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
Patients with femoral fractures
Individuals who provided consent to participate in this study by signing a consent form
Aged 18 years or older
1.Individuals from whom written consent could not be obtained (for retrospective medical record reviews, this includes cases where the subject or their representative refused to allow the use of their information for research purposes)
2.Other patients deemed inappropriate by the attending physician
300
| 1st name | Tatsuya |
| Middle name | |
| Last name | Yagi |
Hamamatsu University School of Medicine, University Hospital
Department of hospital pharmacy
431-3192
1-20-1 Handayama, Chuo-Ku, Hamamatsu, 431-3192, Japan.
0534352767
yagi5922@hama-med.ac.jp
| 1st name | Sumika |
| Middle name | |
| Last name | Osa |
Hamamatsu University School of Medicine, University Hospital
Department of hospital pharmacy
431-3192
1-20-1 Handayama, Chuo-Ku, Hamamatsu, 431-3192, Japan.
0534352767
sumika.osa@gmail.com
Hmamatsu University School of Medicine
Hamamatsy University of Medicine
Other
Hamamatsu University School of Medicine
1-20-1 Handayama, Chuo-Ku, Hamamatsu, 431-3192, Japan.
0534352111
rinri@hama-med.ac.jp
NO
| 2026 | Year | 07 | Month | 01 | Day |
Unpublished
Preinitiation
| 2026 | Year | 07 | Month | 01 | Day |
| 2026 | Year | 07 | Month | 01 | Day |
| 2031 | Year | 07 | Month | 31 | Day |
Items to Be Collected as Data
Subject Background: Name, age, gender, diagnosis, surgical procedure, medical history, lifestyle history, care level, history of adverse effects, concomitant medications, medication status (information related to adherence, number of remaining pills, etc.), medication management status (administrator, use of unit-dose packaging, etc.), performance status, post-discharge outcomes, number and types of medications taken, etc.
Rehabilitation assessment items: grip strength, FIM (Functional Independence Measure), MOCA-J
Osteoporosis assessment items: bone density, etc.
Physical findings: height, weight, body surface area, BMI, blood pressure, pulse, body temperature
Laboratory tests: Hematological tests (white blood cell count, hemoglobin level, platelet count, neutrophil count, lymphocyte count, etc.), biochemical tests (AST, ALT, ALP, total bilirubin, albumin, CRP, BUN, creatinine, eGFR, cystatin-C, blood glucose, HbA1c, TRACP-5b, P1NP, 25(OH)D, electrolytes, etc.)
Body Composition Analysis (body weight, BMI, skeletal muscle mass, skeletal muscle mass index, body fat mass, phase angle, etc.)
Blood and Saliva Biomarkers (inflammation-related markers, stress-related markers, nutrition- and metabolism-related proteins, bone metabolism-related factors, etc.)
Oral Microbiome
| 2026 | Year | 06 | Month | 28 | Day |
| 2026 | Year | 06 | Month | 28 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000071036