Evidence map›Paper›PMID 39037493›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

Optimizing medication guidance support for patients with cancer pain: development and evaluation of a pharmaceutical care system for healthcare professionals.

Ling Huang, Lu Zhang, Hangxing Huang, Ruwen Cai, Huimin Yu, Jingyang Li, Mengyao Li, Ting Yu, Shuqiao Cheng, Jian Xiao

Abstract read
PubMed Publisher
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ling HuangDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Lu ZhangDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Hangxing HuangSchool of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Ruwen CaiDali University, Dali, Yunnan, China.
Huimin YuDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Jingyang LiDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Mengyao LiDali University, Dali, Yunnan, China.
Ting YuDali University, Dali, Yunnan, China.
Shuqiao ChengDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. cheng0203@csu.edu.cn.
Jian XiaoDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. admanoas@163.com.

Funding

Hunan Provincial Natural Science Foundation 2022JJ80114
6 · The paper itself

Abstract

backgroundEffective management of cancer pain critically depends on timely medication administration and adherence to precise medication guidelines. In the context of limited time and a busy healthcare environment, tailoring the optimal medication schedule for each patient with cancer pain presents a significant challenge for physicians and clinical pharmacists.

methodsTo address this challenge, we conducted a comprehensive analysis of healthcare professionals' needs in guiding cancer pain medication. By developing core features based on key user needs and continuously updating them, we have created the Universal Medication Schedule System (UMSS). We invited 20 physicians and pharmacists specializing in oncology or cancer pain to trial the system and assessed UMSS usage through distributed questionnaires.

resultsWe identified five key needs of healthcare professionals in cancer pain medication guidance. Based on these needs, we (1) constructed a comprehensive drug information database, including basic information for 1135 drugs, 130,590 drug interaction data entries, and 1409 individual medication timing constraints, and (2) developed a web-based system that provides essential reference information such as drug interactions and dietary restrictions. It can create medication schedules and provide medication education tailored to the patient's daily routine. Participating evaluators unanimously agreed (100%) that the system aids in accurately assessing the risks of polypharmacy and quickly scheduling medication regimens.

conclusionUMSS, by offering personalized medication schedule support, assists healthcare professionals in better managing patients' medication treatment plans. However, further improvements are needed in the automation of database updates and maintenance, as well as in integrating it with electronic health records.

Indexed as

Cancer PainAnalgesicsDrug Administration ScheduleHealth PersonnelHumansPain ManagementPharmaceutical ServicesPharmacistsSurveys and QuestionnairesAnalgesicsCancer painIntelligent systemMedication educationUniversal medication scheduleUsage evaluation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.