Identification of individuals benefiting from the kakaritsuke-yakuzaishi (family pharmacist) system in Japan: a retrospective cohort study using an employment-based health insurance claims database.
Additive interaction
Administrative claims data
Community pharmacy
Pharmacist
Retrospective cohort study
Journal
BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677
Informations de publication
Date de publication:
21 May 2022
21 May 2022
Historique:
received:
15
09
2021
accepted:
16
05
2022
entrez:
21
5
2022
pubmed:
22
5
2022
medline:
25
5
2022
Statut:
epublish
Résumé
The kakaritsuke-yakuzaishi system (henceforth, the family pharmacist system) which provides more health services than those by general pharmaceutical practice, was implemented in Japan in April 2016. To distribute medical resources and medical care expenditures appropriately, identifying the possible major beneficiaries of this system is essential. By analyzing administrative claims data through this retrospective cohort study, we identified modifiers of the potential benefits of the system. Further, we integrated the identified modifiers into a scoring system that indicates the possible benefitting subpopulations. We obtained data about individuals under 75 years old routinely using community pharmacies in Japan from the JMDC database. We classified the individuals as users or non-users. We used claims related to "choufukutouyaku-sougosayoutou-boushi-kasan (additional therapeutic duplication and drug interaction [TDDI] prevention fees)" filed between April 2018 and March 2020, which indicate that individuals' prescriptions were modified to adjust leftover drugs or to avoid TDDI as indicators of potential benefit. We estimated adjusted absolute risk differences and 95% confidence intervals for product terms using multiple generalized linear regression models. We included the factors whose 95% confidence interval lower limits did not reach 0 in the multiple logistic regression models for developing a scoring system. The eligible cohort included 162,340 individuals (1,214 users and 161,126 non-users). The leftover drugs adjustment significantly increased for individuals prescribed antidepressants. However, as only one modifier was identified, we did not develop a scoring system for the leftover drugs adjustment. For TDDI prevention, the following factors were included in the scoring system: being female, being prescribed ≥ 6 drug types, using ≥ 2 medical institutions, and being prescribed proton pump inhibitors, antibiotics, probiotics, or traditional Japanese herbal medicines. The developed scoring system for TDDI prevention scored "female" and "traditional Japanese herbal medicines prescription" factors higher than other factors. Individuals who are female or prescribed traditional Japanese herbal medicines, or antidepressants may benefit significantly from the family pharmacist system.
Sections du résumé
BACKGROUND
BACKGROUND
The kakaritsuke-yakuzaishi system (henceforth, the family pharmacist system) which provides more health services than those by general pharmaceutical practice, was implemented in Japan in April 2016. To distribute medical resources and medical care expenditures appropriately, identifying the possible major beneficiaries of this system is essential. By analyzing administrative claims data through this retrospective cohort study, we identified modifiers of the potential benefits of the system. Further, we integrated the identified modifiers into a scoring system that indicates the possible benefitting subpopulations.
METHODS
METHODS
We obtained data about individuals under 75 years old routinely using community pharmacies in Japan from the JMDC database. We classified the individuals as users or non-users. We used claims related to "choufukutouyaku-sougosayoutou-boushi-kasan (additional therapeutic duplication and drug interaction [TDDI] prevention fees)" filed between April 2018 and March 2020, which indicate that individuals' prescriptions were modified to adjust leftover drugs or to avoid TDDI as indicators of potential benefit. We estimated adjusted absolute risk differences and 95% confidence intervals for product terms using multiple generalized linear regression models. We included the factors whose 95% confidence interval lower limits did not reach 0 in the multiple logistic regression models for developing a scoring system.
RESULTS
RESULTS
The eligible cohort included 162,340 individuals (1,214 users and 161,126 non-users). The leftover drugs adjustment significantly increased for individuals prescribed antidepressants. However, as only one modifier was identified, we did not develop a scoring system for the leftover drugs adjustment. For TDDI prevention, the following factors were included in the scoring system: being female, being prescribed ≥ 6 drug types, using ≥ 2 medical institutions, and being prescribed proton pump inhibitors, antibiotics, probiotics, or traditional Japanese herbal medicines. The developed scoring system for TDDI prevention scored "female" and "traditional Japanese herbal medicines prescription" factors higher than other factors.
CONCLUSIONS
CONCLUSIONS
Individuals who are female or prescribed traditional Japanese herbal medicines, or antidepressants may benefit significantly from the family pharmacist system.
Identifiants
pubmed: 35598014
doi: 10.1186/s12913-022-08093-0
pii: 10.1186/s12913-022-08093-0
pmc: PMC9124427
doi:
Substances chimiques
Antidepressive Agents
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
682Subventions
Organisme : Japan Society for the Promotion of Science
ID : JP20K16102
Informations de copyright
© 2022. The Author(s).
Références
Epidemiology. 2019 May;30(3):334-341
pubmed: 30789432
Res Social Adm Pharm. 2020 Jul;16(7):958-966
pubmed: 31839583
Clin Geriatr Med. 2012 May;28(2):173-86
pubmed: 22500537
Ann Pharmacother. 2006 Nov;40(11):2008-14
pubmed: 17062835
BMC Psychiatry. 2009 Jun 16;9:38
pubmed: 19531229
J Am Stat Assoc. 2013 Jan 1;108(502):527-539
pubmed: 24058223
Lancet. 2011 Sep 17;378(9796):1106-15
pubmed: 21885107
J Gen Fam Med. 2021 Feb 14;22(3):118-127
pubmed: 33977008
Yakugaku Zasshi. 2011;131(10):1509-18
pubmed: 21963979
Am J Geriatr Pharmacother. 2007 Dec;5(4):345-51
pubmed: 18179993
J Am Pharm Assoc (Wash). 1999 Sep-Oct;39(5):640-9
pubmed: 10533345
J Gen Fam Med. 2020 Aug 30;21(6):211-218
pubmed: 33304714
PLoS One. 2017 Dec 21;12(12):e0190102
pubmed: 29267348
Japan Med Assoc J. 2012 Jul;55(4):330-3
pubmed: 25237242
Am J Epidemiol. 2020 Jun 1;189(6):508-510
pubmed: 32219364