Literature DB >> 27879472

Can patient-reported measurements of pain be used to improve cancer pain management? A systematic review and meta-analysis.

Rosalind Adam1, Christopher D Burton1, Christine M Bond1, Marijn de Bruin2, Peter Murchie1.   

Abstract

PURPOSE: Cancer pain is a distressing and complex experience. It is feasible that the systematic collection and feedback of patient-reported outcome measurements (PROMs) relating to pain could enhance cancer pain management. We aimed to conduct a systematic review of interventions in which patient-reported pain data were collected and fed back to patients and/or professionals in order to improve cancer pain control.
METHODS: MEDLINE, EMBASE and CINAHL databases were searched for randomised and non-randomised controlled trials in which patient-reported data were collected and fed back with the intention of improving pain management by adult patients or professionals. We conducted a narrative synthesis. We also conducted a meta-analysis of studies reporting pain intensity.
RESULTS: 29 reports from 22 trials of 20 interventions were included. PROM measures were used to alert physicians to poorly controlled pain, to target pain education and to link treatment to management algorithms. Few interventions were underpinned by explicit behavioural theories. Interventions were inconsistently applied or infrequently led to changes in treatment. Narrative synthesis suggested that feedback of PROM data tended to increase discussions between patients and professionals about pain and/or symptoms overall. Meta-analysis of 12 studies showed a reduction in average pain intensity in intervention group participants compared with controls (mean difference=-0.59 (95% CI -0.87 to -0.30)).
CONCLUSIONS: Interventions that assess and feedback cancer pain data to patients and/or professionals have so far led to modest reductions in cancer pain intensity. Suggestions are given to inform and enhance future PROM feedback interventions. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Cancer; Clinical assessment; PROM; Pain; self-report

Mesh:

Year:  2016        PMID: 27879472     DOI: 10.1136/bmjspcare-2016-001137

Source DB:  PubMed          Journal:  BMJ Support Palliat Care        ISSN: 2045-435X            Impact factor:   3.568


  9 in total

1.  Patient Engagement With an Automated Telephone Symptom Management Intervention: Predictors and Outcomes.

Authors:  Alla Sikorskii; Charles W Given; Barbara A Given; Asish Banik; John C Krauss
Journal:  Ann Behav Med       Date:  2020-06-12

2.  Use of Mobile Messaging System for Self-Management of Chemotherapy Symptoms in Patients with Advanced Cancer.

Authors:  Connie Jaenicke; Dan Greenwood; Kathleen Nelson; Mark Klein; Bev Foss; Lara Carson; Kim Smith; Evan Mariash
Journal:  Fed Pract       Date:  2019-08

3.  What are the current challenges of managing cancer pain and could digital technologies help?

Authors:  Rosalind Adam; Marijn de Bruin; Christopher David Burton; Christine M Bond; Maria Giatsi Clausen; Peter Murchie
Journal:  BMJ Support Palliat Care       Date:  2017-05-29       Impact factor: 3.568

4.  Publicly available apps for cancer survivors: a scoping review.

Authors:  Rosalind Adam; Drew McMichael; Daniel Powell; Peter Murchie
Journal:  BMJ Open       Date:  2019-09-30       Impact factor: 2.692

5.  The Challenge of Cancer Pain Assessment.

Authors:  Radhika Rani Gulati
Journal:  Ulster Med J       Date:  2021-02-26

6.  The Needs and Experiences of Patients on Pain Education and the Clinical Reasoning of Physical Therapists Regarding Cancer-Related Pain. A Qualitative Study.

Authors:  Tessa Eisen; Eline Menje Kooijstra; Ruud Groeneweg; Michelle Verseveld; Janine Hidding
Journal:  Front Pain Res (Lausanne)       Date:  2021-12-09

Review 7.  Patient-reported outcome measures for pain in women with pelvic floor disorders: a systematic review.

Authors:  Maisie Ralphsmith; Susannah Ahern; Joanne Dean; Rasa Ruseckaite
Journal:  Int Urogynecol J       Date:  2022-03-02       Impact factor: 1.932

8.  Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial.

Authors:  Joël Belmin; Patrick Villani; Mathias Gay; Stéphane Fabries; Charlotte Havreng-Théry; Stéphanie Malvoisin; Fabrice Denis; Jacques-Henri Veyron
Journal:  J Med Internet Res       Date:  2022-09-08       Impact factor: 7.076

9.  Dysphagia, voice problems, and pain in head and neck cancer patients.

Authors:  Andreas Hinz; Susanne Wiegand; Veit Zebralla; Gunnar Wichmann; Markus Pirlich; Carola Hammermüller; Thomas Berger; Klara Zimmermann; Thomas Neumuth; Anja Mehnert-Theuerkauf; Andreas Dietz
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-01-16       Impact factor: 2.503

  9 in total

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