메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국임상약학회 한국임상약학회지 한국임상약학회지 제25권 제4호
발행연도
2015.1
수록면
231 - 237 (7page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Backgrounds: Patient counseling has been forced since June. 19, 2014. Prior to this, there was no study to try to standardize medication counseling to improve quality. Purpose: This study was to investigate satisfaction level and comprehension level between the pharmacist group and the patient group about standardized medication counseling sheet. Methods: Questionnaires to assess standardized patient counseling sheet were posted at online survey software (Qualtrics) to pharmacists who worked at community pharmacy and patients who had visited community pharmacy before. Results: Three hundred thirty five patients and three hundred nineteen pharmacists were responded to the questionnaire (Response rate: 72.9%). More than half of each group were satisfied with standardized medication counseling sheets ‘for the general public’, ‘for the pregnant women and nursing mothers’, ‘for the chronic patient’, and ‘for the aged’ and patient group were more satisfied than pharmacist group. Similarly, more than half of each group comprehended with the medication counseling sheets ‘for the general public’, ‘for the pregnant women and nursing mothers’, ‘for the chronic patient’, and ‘for the aged’. Patient group tended to expect longer patient counseling time per one drug than pharmacist group. Also, the majority of both groups wanted to provide standardized medication counseling sheets constantly and extend for all drugs. Conclusion: Both groups were satisfied and comprehended standardized medication counseling sheets, and agreed to expand standardized medication counseling sheets to all drugs. So, it is necessary to build the standardized medication counseling of all drugs.

목차

등록된 정보가 없습니다.

참고문헌 (26)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0