Evidence map›Paper›PMID 35596014›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2022

Knowledge, attitudes, and practices toward cancer pain management amongst healthcare workers (physicians, pharmacists, and nurses): a cross-sectional study from first-tier cities in China.

Jiyi Xie, Cong Zhang, Shijun Li, Rong Dai, Bin Deng, Qiling Xu, Jinglin Wang, Chen Shi, Yu Zhang

Abstract read
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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Factors associated with cancer pain management behavior among pharmacists: a cross-sectional study based on the COM-B model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Article
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  7. Personalized Medicine in Cancer Pain Management.Journal of personalized medicine · 2023
    Review
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

9 authors at 2 institutions in 1 country.

Jiyi Xie *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Cong Zhang *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Shijun LiDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Rong DaiDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Bin DengDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Qiling XuDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Jinglin WangDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. linlinvc202@163.com.
Chen ShiDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. 29136909@qq.com.
Yu ZhangDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. zhangwkp@163.com.
Huazhong University of Science and Technology · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChina is currently one of the countries with the largest increased number of new cancer cases in the world, but cancer pain management (CPM) is still inadequate. This study uses a questionnaire to demonstrate the status and differences in knowledge, attitude and practice (KAP) of CPM among healthcare workers (HCWs) in developed regions of China, to find deficiencies and priorities for improvement, from which areas and advantages of the role of pharmacists and mobile devices can be explored.

methodsThis study used data from a questionnaire on CPM from March to June 2019. The study population consisted of a total of 515 HCWs in four first-tier developed cities in China. The questionnaire has four major components, analysis of differences in KAP of different occupations through one-way analysis of variance (ANOVA).

resultsAmong the respondents, the physicians had the highest knowledge scores toward CPM, pharmacists had the lowest practice scores. Around half of the respondents indicated that their hospital or department have a pharmacist participating in CPM. Physicians and nurses were more likely to expect pharmacists to provide drug counseling. The HCWs interviewed most expect that the mobile-based pain management system can automatically screen and mark patients with pain.

conclusionFrom this study, it can be suggested that pharmacists and nurses in the CPM team should actively promote relevant knowledge. Besides, pharmacists should focus on improving practical ability such as increasing the frequency of pain assessment. Multidisciplinary collaboration and the introduction of mobile devices can improve and refine the CPM.

Indexed as

NeoplasmsPhysiciansAttitude of Health PersonnelCitiesCross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHealth PersonnelHumansPain ManagementPharmacistsSurveys and QuestionnairesCancer pain managementHealthcare workersPharmacists,·Mobile device

Identifiers

PMID35596014
OpenAlexW4281251217

What OpenQuestion holds

Textmetadata
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Registered trials

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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.