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Article ; Online: [Considering the Next Generation of Cancer Drug Therapy Delivery by all Pharmacists for Patient Safety Management].

Kawakami, Kazuyoshi / Hori, Satoko

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan

2023 Volume 143, Issue 3, Page(s) 211–212

MeSH term(s)	Humans ; Pharmacists ; Antineoplastic Agents ; Neoplasms
Chemical Substances	Antineoplastic Agents
Language	Japanese
Publishing date	2023-03-01
Publishing country	Japan
Document type	Journal Article
ZDB-ID	200514-1
ISSN	1347-5231 ; 0031-6903 ; 0372-7750 ; 0919-2085 ; 0919-2131
ISSN (online)	1347-5231
ISSN	0031-6903 ; 0372-7750 ; 0919-2085 ; 0919-2131
DOI	10.1248/yakushi.22-00160-F
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Zs.A 643: Show issues

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Article: A cross-sectional survey of hepatitis B virus screening in patients who received immunosuppressive therapy for rheumatoid arthritis in Japan.

Yanagisawa, Yuki / Imai, Shungo / Kizaki, Hayato / Hori, Satoko

Journal of pharmaceutical health care and sciences

2024 Volume 10, Issue 1, Page(s) 18

Abstract: Background: Patients with a history of hepatitis B virus (HBV) infection who are receiving immunosuppressive therapy are at risk of HBV reactivation and disease. Therefore, HBV screening is required prior to administering antirheumatic drugs with ... ...

Abstract	Background: Patients with a history of hepatitis B virus (HBV) infection who are receiving immunosuppressive therapy are at risk of HBV reactivation and disease. Therefore, HBV screening is required prior to administering antirheumatic drugs with immunosuppressive effects. This study aimed to determine the status of hepatitis B surface antigen (HBsAg), hepatitis B core antibody (HBcAb), and hepatitis B surface antibody (HBsAb) screening prior to the initiation of drug therapy, including new antirheumatic drugs, in patients with rheumatoid arthritis. Methods: This retrospective cross-sectional study used data from April 2014 to August 2022 from the Japanese hospital-based administrative claims database. The inclusion criteria were rheumatoid arthritis and first prescription date of antirheumatic drugs. Results: A total of 82,282 patients with rheumatoid arthritis who were first prescribed antirheumatic drugs between April 2016 and August 2022 were included. Of the eligible patients, 9.7% (n=7,959) were screened for all HBV (HBsAg, HBsAb, and HbcAb) within 12 months prior to the date of initial prescription. The HBsAg test was performed in 30.0% (n=24,700), HBsAb test in 11.8% (n=9,717), and HBcAb test in 13.1% (n=10,824) of patients. The proportion of patients screened for HBV infection has been increasing since 2018; however, the proportion of patients screened for rheumatoid arthritis remains low. Conclusions: Our findings suggest that HBV screening may be insufficient in patients who received antirheumatic drugs. With the increasing use of new immunosuppressive antirheumatic drugs, including biological agents, healthcare providers should understand the risk of HBV reactivation and conduct appropriate screening.
Language	English
Publishing date	2024-04-18
Publishing country	England
Document type	Journal Article
ZDB-ID	2809913-8
ISSN	2055-0294
ISSN	2055-0294
DOI	10.1186/s40780-024-00339-9
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Article ; Online: Comparison of different sustained-release opioids and acute respiratory conditions in patients with cancer and chronic kidney disease.

Mitsuboshi, Satoru / Imai, Shungo / Kizaki, Hayato / Hori, Satoko

Pharmacotherapy

2023 Volume 44, Issue 2, Page(s) 122–130

Abstract: Study objective: Few data are available on the association between the use of oxycodone in patients with chronic kidney disease (CKD) and acute respiratory conditions. The aim of this study was to investigate whether oxycodone is associated with an ... ...

Abstract	Study objective: Few data are available on the association between the use of oxycodone in patients with chronic kidney disease (CKD) and acute respiratory conditions. The aim of this study was to investigate whether oxycodone is associated with an increased risk of acute respiratory conditions in patients with cancer and CKD compared with other opioids. Design and setting: The data were obtained from a claims database in Japan. Patients with cancer and CKD who had received sustained-release opioids, including oral oxycodone, oral morphine, or transdermal fentanyl, between April 2014 and May 2021 were selected. The primary outcome was defined as an acute respiratory condition. Data for age and sex, morphine equivalent daily dose, concomitant use of specified medications, comorbidities defined based on the modified Charlson comorbidity index, substance use disorder, and lung cancer or metastatic lung cancer were investigated as covariates. Distribution of acute respiratory conditions was compared among the three sustained-release opioid groups using the log-rank test. Estimates of the incidence of acute respiratory conditions were compared among the groups using a Cox proportional hazards model with time-varying variables. Main results: A significant difference in the distribution of acute respiratory conditions was found among the three groups (p < 0.01). Cox regression analysis showed a significantly higher risk of acute respiratory conditions with morphine (hazard ratio [HR]: 3.04, 95% confidence interval [CI]: 1.07-8.65, p = 0.04) compared with oxycodone but no significant difference in risk with oxycodone (HR 0.67, 95% CI: 0.32-1.38, p = 0.27) compared with fentanyl. Conclusions: The findings suggest that the risk of acute respiratory conditions may be lower in patients with CKD who use oxycodone for cancer pain than in those who use morphine. Additionally, no difference in the risk of acute respiratory conditions was found between oxycodone and fentanyl use.
MeSH term(s)	Humans ; Analgesics, Opioid/adverse effects ; Oxycodone/adverse effects ; Pain/drug therapy ; Delayed-Action Preparations/therapeutic use ; Fentanyl/adverse effects ; Morphine/adverse effects ; Renal Insufficiency, Chronic/complications ; Neoplasms/chemically induced ; Lung Neoplasms/epidemiology
Chemical Substances	Analgesics, Opioid ; Oxycodone (CD35PMG570) ; Delayed-Action Preparations ; Fentanyl (UF599785JZ) ; Morphine (76I7G6D29C)
Language	English
Publishing date	2023-11-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	603158-4
ISSN	1875-9114 ; 0277-0008
ISSN (online)	1875-9114
ISSN	0277-0008
DOI	10.1002/phar.2892
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Zs.A 1738: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 585: Show issues

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Article ; Online: Influence of Voiced and Semi-voiced Sounds on the Subjective Similarity of Different Drug Names: A Cognitive Psychological Experiment.

Yoshikawa, Kodai / Kizaki, Hayato / Imai, Shungo / Hori, Satoko

Biological & pharmaceutical bulletin

2023 Volume 46, Issue 11, Page(s) 1630–1634

Abstract: The similarity of drug names is one of the common causes of medication error. In Japan, similarity evaluation is performed prior to approval of new drugs in order to avoid potential confusion. However, existing indices do not take account of the ... ...

Abstract	The similarity of drug names is one of the common causes of medication error. In Japan, similarity evaluation is performed prior to approval of new drugs in order to avoid potential confusion. However, existing indices do not take account of the difference between characters that contain voiced or semi-voiced and unvoiced sounds, so it is not clear whether such sounds influence the subjective similarity of drug names. Thus, we performed a cognitive psychological experiment to investigate this issue, using participants who had not received any education in medicine, nursing, or pharmacy. An analogue scale questionnaire was used to evaluate the subjective similarity of the names of drug pairs. Drug pairs for the main analysis were prepared by matching the first 0 to 3 characters, and then varying the difference in the number of voiced and semi-voiced characters from 0 to 3 in these matched characters. By means of this procedure, the drug pairs were classified into a total of 10 groups. Then, a total of 60 drug pairs were created by assigning 6 drugs to each group. The subjective similarity tended to increase with increasing number of common characters among the first three characters. When classified according to the number of these common characters, the subjective similarity was significantly decreased when voiced or semi-voiced sounds were present, as compared with when they were absent. These results indicate that a new drug name similarity index that takes account of voiced and semi-voiced sound differences should be developed to minimize medication errors.
MeSH term(s)	Humans ; Medication Errors ; Sound ; Pharmacies ; Cognition ; Japan
Language	English
Publishing date	2023-11-01
Publishing country	Japan
Document type	Journal Article
ZDB-ID	1150271-x
ISSN	1347-5215 ; 0918-6158
ISSN (online)	1347-5215
ISSN	0918-6158
DOI	10.1248/bpb.b23-00396
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Zs.A 1474: Show issues

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Article ; Online: Detection of Adverse Event Signals with Severity Grade Classification from Cancer Patient Narrative.

Nishioka, Satoshi / Asano, Masaki / Yada, Shuntaro / Aramaki, Eiji / Yajima, Hiroshi / Kizaki, Hayato / Hori, Satoko

Studies in health technology and informatics

2024 Volume 310, Page(s) 554–558

Abstract: Adverse event (AE) management is crucial to improve anti-cancer treatment outcomes, but it is reported that some AE signals can be missed in clinical visits. Thus, monitoring AE signals seamlessly, including events outside hospitals, would be helpful for ...

Abstract	Adverse event (AE) management is crucial to improve anti-cancer treatment outcomes, but it is reported that some AE signals can be missed in clinical visits. Thus, monitoring AE signals seamlessly, including events outside hospitals, would be helpful for early intervention. Here we investigated how to detect AE signals from texts written by cancer patients themselves by developing deep-learning (DL) models to classify posts mentioning AEs according to severity grade, in order to focus on those that might need immediate treatment interventions. Using patient blogs written in Japanese by cancer patients as a data source, we built DL models based on three approaches, BERT, ELECTRA, and T5. Among these models, T5 showed the best F1 scores for both Grade ≥ 1 and ≥ 2 article classification tasks (0.85 and 0.53, respectively). This model might benefit patients by enabling earlier AE signal detection, thereby improving quality of life.
MeSH term(s)	Humans ; Quality of Life ; Blogging ; Hospitals ; Narration ; Neoplasms
Language	English
Publishing date	2024-01-25
Publishing country	Netherlands
Document type	Journal Article
ISSN	1879-8365
ISSN (online)	1879-8365
DOI	10.3233/SHTI231026
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Article ; Online: Comparable Psychotropic Prescription Rates After Hospital Discharge Between Patients with COVID-19 and Those With Non-COVID-19-Related Respiratory Infection.

Takahashi, Yuna / Yatomi, Taisuke / Yamaguchi, Naohito / Yoshimura, Kimio / Hori, Satoko / Uchida, Hiroyuki

Pharmacopsychiatry

2024

Abstract: Introduction: Whether psychiatric symptoms after recovery from coronavirus disease 2019 (COVID-19) are specific to this illness remains unclear.: Methods: In this retrospective study, the Diagnosis Procedure Combination data and outpatient clinic ... ...

Abstract	Introduction: Whether psychiatric symptoms after recovery from coronavirus disease 2019 (COVID-19) are specific to this illness remains unclear. Methods: In this retrospective study, the Diagnosis Procedure Combination data and outpatient clinic data were used for patients who received inpatient treatment in Saiseikai-affiliated hospitals for COVID-19 or other respiratory tract infections (non-COVID) from 2020 to 2022. The primary outcome was new prescriptions of psychotropic drugs after discharge (i. e., prescriptions of psychotropics to patients who had not received them before or during their hospitalization). Values of interest were compared between groups using the chi-square test or Fisher's exact test. A COX proportional-hazards model was used to examine factors associated with psychotropic prescriptions after discharge in age- and sex-matched COVID-19 and non-COVID patients. Results: Of 31,993 chart records, 19,613 were excluded due to a positive history with psychiatric disorders (n=2,445), prescriptions of psychotropics (n=744), and no follow-ups (n=16,424). Thus, 3,648 COVID-19 and 8,732 non-COVID patients were included (mean [range] duration of follow-up, days: 146.9 [1-727] and 239.2 [1-729], respectively). Two hundred and four (5.6%) of the 3,648 patients with COVID-19 received psychotropic prescriptions after discharge. No statistically significant differences were observed in the prescription rates of any psychotropic category between the COVID-19 and non-COVID groups. An increase in severity during hospitalization was significantly associated with more frequent psychotropic prescriptions (hazard ratio 1.83, p<0.001). Discussion: The development of psychiatric symptoms should be closely observed, especially in patients who experienced increased severity during hospitalization, regardless of whether they suffered from COVID-19.
Language	English
Publishing date	2024-03-26
Publishing country	Germany
Document type	Journal Article
ZDB-ID	605670-2
ISSN	1439-0795 ; 0720-4280 ; 0176-3679
ISSN (online)	1439-0795
ISSN	0720-4280 ; 0176-3679
DOI	10.1055/a-2286-1427
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Zs.A 481: Show issues

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Article ; Online: Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach.

Nishiyama, Tomohiro / Yada, Shuntaro / Wakamiya, Shoko / Hori, Satoko / Aramaki, Eiji

Journal of medical Internet research

2023 Volume 25, Page(s) e44870

Abstract: Background: Medication noncompliance is a critical issue because of the increased number of drugs sold on the web. Web-based drug distribution is difficult to control, causing problems such as drug noncompliance and abuse. The existing medication ... ...

Abstract	Background: Medication noncompliance is a critical issue because of the increased number of drugs sold on the web. Web-based drug distribution is difficult to control, causing problems such as drug noncompliance and abuse. The existing medication compliance surveys lack completeness because it is impossible to cover patients who do not go to the hospital or provide accurate information to their doctors, so a social media-based approach is being explored to collect information about drug use. Social media data, which includes information on drug usage by users, can be used to detect drug abuse and medication compliance in patients. Objective: This study aimed to assess how the structural similarity of drugs affects the efficiency of machine learning models for text classification of drug noncompliance. Methods: This study analyzed 22,022 tweets about 20 different drugs. The tweets were labeled as either noncompliant use or mention, noncompliant sales, general use, or general mention. The study compares 2 methods for training machine learning models for text classification: single-sub-corpus transfer learning, in which a model is trained on tweets about a single drug and then tested on tweets about other drugs, and multi-sub-corpus incremental learning, in which models are trained on tweets about drugs in order of their structural similarity. The performance of a machine learning model trained on a single subcorpus (a data set of tweets about a specific category of drugs) was compared to the performance of a model trained on multiple subcorpora (data sets of tweets about multiple categories of drugs). Results: The results showed that the performance of the model trained on a single subcorpus varied depending on the specific drug used for training. The Tanimoto similarity (a measure of the structural similarity between compounds) was weakly correlated with the classification results. The model trained by transfer learning a corpus of drugs with close structural similarity performed better than the model trained by randomly adding a subcorpus when the number of subcorpora was small. Conclusions: The results suggest that structural similarity improves the classification performance of messages about unknown drugs if the drugs in the training corpus are few. On the other hand, this indicates that there is little need to consider the influence of the Tanimoto structural similarity if a sufficient variety of drugs are ensured.
MeSH term(s)	Humans ; Natural Language Processing ; Social Media ; Machine Learning ; Substance-Related Disorders ; Commerce
Language	English
Publishing date	2023-05-03
Publishing country	Canada
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2028830-X
ISSN	1438-8871 ; 1438-8871
ISSN (online)	1438-8871
ISSN	1438-8871
DOI	10.2196/44870
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Article: Influence of Participation in a Medical-Themed Science Café on Patient Activation.

Okazawa, Yuta / Kizaki, Hayato / Suzuki, Nobuyuki / Osaka, Wakako / Hori, Satoko

Patient preference and adherence

2023 Volume 17, Page(s) 3093–3106

Abstract: Purpose: This study aims to investigate the impact of a Science Café (SC) dealing with medical topics on participants' patient activation (PA), a concept that refers to patients' involvement in managing their own health, working with their healthcare ... ...

Abstract	Purpose: This study aims to investigate the impact of a Science Café (SC) dealing with medical topics on participants' patient activation (PA), a concept that refers to patients' involvement in managing their own health, working with their healthcare providers, and maintaining their health. Material and methods: Semi-structured interviews were conducted with patients who had participated in a medical SC (n = 10) to identify the medical SC-associated factors that influenced PA. Through a questionnaire of medical SC participants (n = 23), the impact on PA and correlations with relevant psychological measures were quantitatively assessed. Results: The interviews revealed three factors: "Experience & acceptance of chronic conditions", "Features of medical SC" and "Changes as a result of participation." The questionnaire results showed a positive correlation between PA and resilience and a negative correlation with decision regret. Conclusions: Participation in a medical SC by people with illnesses can improve PA by improving knowledge and skills for self-management and increasing self-awareness of illness in a supportive environment. The study highlights the potential benefits of using medical SC as a strategy for healthcare providers to improve PA and health outcomes.
Language	English
Publishing date	2023-11-28
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2455848-5
ISSN	1177-889X
ISSN	1177-889X
DOI	10.2147/PPA.S424460
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Article ; Online: [Evaluation of Pharmacists' Active Intervention to Reduce Potentially Inappropriate Medications in Special Older Adult Nursing Home].

Miki, Akiko / Satoh, Hiroki / Matsumoto, Yusaku / Hori, Satoko / Sawada, Yasufumi

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan

2023 Volume 144, Issue 1, Page(s) 137–142

Abstract: Currently, elderly care facilities that do not offer long-term care are not required to employ pharmacists, and duties such as the dispensing and distribution of medicines are entrusted to external pharmacies. Pharmacists seldom spend sufficient time at ... ...

Abstract	Currently, elderly care facilities that do not offer long-term care are not required to employ pharmacists, and duties such as the dispensing and distribution of medicines are entrusted to external pharmacies. Pharmacists seldom spend sufficient time at the facilities for elderly people requiring special care. Thus, in many cases, the pharmacists have insufficient knowledge of the residents' medication status, leading to their inability in determining whether the residents are receiving a suitable drug therapy. We previously documented various problems in the practices adopted by nursing staff (with negligible intervention by pharmacists) for assisting residents in taking their medications. In the present pilot study, we attempted to eliminate the use of potentially inappropriate medications by stationing a pharmacist at a nursing home for 24 h every week (3 d/week). We proactively collected information from nurses and other nursing staff and observed the residents' actual living conditions and medication use. As a result of this intervention, 56 prescriptions were changed. However, only two of these were changed exclusively based on the prescription information. Most prescriptions were able to change based on the information obtained by the pharmacist present at the facility. Therefore, pharmacists' presence at the facility (at least for a few hours) is necessary, as they can actively intervene and collaborate with other staff to prevent the use of potentially inappropriate medications.
MeSH term(s)	Humans ; Aged ; Pharmacists ; Potentially Inappropriate Medication List ; Pilot Projects ; Nursing Homes ; Prescriptions
Language	Japanese
Publishing date	2023-10-31
Publishing country	Japan
Document type	English Abstract ; Journal Article
ZDB-ID	200514-1
ISSN	1347-5231 ; 0031-6903 ; 0372-7750 ; 0919-2085 ; 0919-2131
ISSN (online)	1347-5231
ISSN	0031-6903 ; 0372-7750 ; 0919-2085 ; 0919-2131
DOI	10.1248/yakushi.23-00090
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Zs.A 643: Show issues

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Article ; Online: A Survey of the Status of Methadone Switching in Japan Using a Hospital-Based Administrative Claims Database.

Imai, Shungo / Aoki, Natsumi / Ikegami, Keisuke / Kizaki, Hayato / Hori, Satoko

Journal of clinical pharmacology

2023 Volume 64, Issue 2, Page(s) 189–195

Abstract: Methadone is generally used for the management of cancer pain in patients who cannot obtain adequate analgesia from other strong opioids; however, it has a complicated and inconsistent conversion ratio from pre-switching opioid dosage to methadone. This ... ...

Abstract	Methadone is generally used for the management of cancer pain in patients who cannot obtain adequate analgesia from other strong opioids; however, it has a complicated and inconsistent conversion ratio from pre-switching opioid dosage to methadone. This issue may be pronounced in Japan because only oral tablets are commercially available. We aimed to elucidate the status of methadone switching in Japan, focusing on its dosage. Using a Japanese hospital-based administrative claims database, we included patients who switched to methadone between April 2008 and January 2021. The proportion of methadone switching completion that required more than the defined conversion ratio in the Japanese package insert (called "high-dose methadone switching") was evaluated as a primary endpoint. Other endpoints included "the duration from initiation to completion of methadone switching" and "factors affecting high-dose methadone switching by using multivariate logistic regression analysis". Of 1585 patients who received methadone, 370 were enrolled. Among those, 130 (35.1%) received high-dose methadone switching. The median duration of methadone switching completion (12 days) was longer in the high-dose methadone switching group than in other patients. Four variables were identified as factors affecting high-dose methadone switching. Younger age and outpatient status increased the risk of requiring high-dose methadone switching, whereas the concomitant use of nonsteroidal anti-inflammatory drugs and fentanyl as a pre-switching opioid decreased the risk. In conclusion, more than 30% of the patients underwent high-dose methadone switching and required long completion periods, suggesting that methadone switching remains challenging in Japan.
MeSH term(s)	Humans ; Methadone/therapeutic use ; Analgesics, Opioid ; Japan ; Neoplasms/complications ; Pain
Chemical Substances	Methadone (UC6VBE7V1Z) ; Analgesics, Opioid
Language	English
Publishing date	2023-10-10
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	188980-1
ISSN	1552-4604 ; 0091-2700 ; 0021-9754
ISSN (online)	1552-4604
ISSN	0091-2700 ; 0021-9754
DOI	10.1002/jcph.2351
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