» Articles » PMID: 35529411

Evaluation of a Whole Process Management Model Based on an Information System for Cancer Patients with Pain: A Prospective Nonrandomized Controlled Study

Overview
Publisher Elsevier
Date 2022 May 9
PMID 35529411
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: The aim of this study was to evaluate the effects of whole process management model interventions based on information system benefits reported by patients with cancer pain.

Methods: We performed a quantitative, prospective nonrandomized controlled design from June to October 2020. A total of 124 cancer patients with pain were enrolled. Patients in the experimental group received a whole process management model intervention based on an information system compared to the control group who received routine cancer pain management. Data were collected at baseline and after a four-week follow-up, acting as a test-retest control. The primary outcome was pain management quality, which was measured using the American Pain Society Patient Outcome Questionnaire-Chinese version (APS-POQ-C). Secondary outcomes were patient-related attitudinal barriers and analgesic adherence. The Barrier Questionnaire (BQ) and a single-item questionnaire were used. Chi-square tests were used to compare the pain intensity and analgesic adherence, independent sample -test and Mann-Whitney U test were performed to test the differences in the pain management quality and patient-related attitudinal barriers between control and experimental groups.

Results: Baseline characteristics and outcomes of the participants did not differ significantly ( ​> ​0.05). Primary outcomes were changes in four aspect of the quality of pain management (APS-POQ-C) between the two groups ( ​< ​0.05). Patients in the whole process management group reported significantly better pain control and perception of care than the control group. With respect to secondary endpoints, a significant difference in favor of the experimental group was found for barriers ( ​< ​0.05) and medication adherence (60.0% vs. 40.0%;  ​< ​0.05) after the interventions.

Conclusions: The whole process management of patients with cancer pain effectively improves patient-reported quality of pain management, reduces patient-perceived barriers, enhances patient adherence to analgesic drugs and is worthy of clinical application.

Citing Articles

Cancer pain self-management interventions in adults: scoping review.

Sjattar E, Arafat R, Wan Ling L BMJ Support Palliat Care. 2024; 14(4):411-415.

PMID: 38719570 PMC: 11671981. DOI: 10.1136/spcare-2024-004893.

References
1.
Ma X, Lu Y, Yang H, Yu W, Hou X, Guo R . Relationships between patient-related attitudinal barriers, analgesic adherence and pain relief in Chinese cancer inpatients. Support Care Cancer. 2019; 28(7):3145-3151. DOI: 10.1007/s00520-019-05082-8. View

2.
Agboola S, Kamdar M, Flanagan C, Searl M, Traeger L, Kvedar J . Pain management in cancer patients using a mobile app: study design of a randomized controlled trial. JMIR Res Protoc. 2014; 3(4):e76. PMC: 4275494. DOI: 10.2196/resprot.3957. View

3.
Porta-Sales J, Nabal-Vicuna M, Vallano A, Espinosa J, Planas-Domingo J, Verger-Fransoy E . Have We Improved Pain Control in Cancer Patients? A Multicenter Study of Ambulatory and Hospitalized Cancer Patients. J Palliat Med. 2015; 18(11):923-32. DOI: 10.1089/jpm.2015.29002.jps. View

4.
Yamagishi A, Morita T, Miyashita M, Igarashi A, Akiyama M, Akizuki N . Pain intensity, quality of life, quality of palliative care, and satisfaction in outpatients with metastatic or recurrent cancer: a Japanese, nationwide, region-based, multicenter survey. J Pain Symptom Manage. 2012; 43(3):503-14. DOI: 10.1016/j.jpainsymman.2011.04.025. View

5.
Allsop M, Taylor S, Mulvey M, Bennett M, Bewick B . Information and communication technology for managing pain in palliative care: a review of the literature. BMJ Support Palliat Care. 2014; 5(5):481-9. DOI: 10.1136/bmjspcare-2013-000625. View